Values of the recruited evaluation measures.
\r\n\tThe emphasis is on developing or modifying the available oral health diagnosis and preventive and corrective methods for children starting from newborn to pre-schoolers to school going and up to adolescence.
\r\n\tProfessionals involved in providing oral health care to children must keep themselves updated with the available and newer behaviour management and dental procedures and techniques that may begin with the first dental visit of the child write up to providing preventive and comprehensive treatment to the child and develop long-lasting good oral health habits.
\r\n\tThis book will provide an opportunity for various health professionals to share their expertise which may vary from providing various forms of oral health procedures to children at an individual and community level.
There is a sad reality for the elderly women in contemporary time because they are facing the problem of victimisation in this phase of life. The victimisation of the elderly women is the most concerning and emerging social issue in later life. Today, they are being targeted for murder, attempt to murder, hurt, abuse, chain snatching, cheating. It is difficult to find any specific cause behind victimisation. But it can be supposed that the changing social and family structure is responsible for victimisation of elderly women in current times because it has given rise to many problems such as abusive behaviour, neglect and exploitation against the elderly women in Indian society. The changing social and family structures also breach the social order. The way of life and sense of wellbeing of the elderly women has been affected the most due to changing social and family structure [1, 2, 3]. Increased longevity of the elderly population has raised a number of problems on households with limited resources, particularly in the absence of formal social support systems [4]. Consequently, it may increase social rejection, broken family ties and embarrassment. The crime does not only make worse and disabling conditions of the elderly women, but it also makes the elderly women more dependent, vulnerable and marginalised.
With the steady rise in elderly population, the rate of their problems is also increasing. The problem of crime against the elderly and elder abuse is one of them. Crime against the elderly and elder abuse has never been considered as a problem in India. It has been found in many studies [1, 2, 5] that the roots of the traditional social structure are being undermined ushered in by the processes of change such as industrialisation, urbanisation and modernisation. In such changing situations, the majority of the elderly, who have spent most part of their lives with their joint families, are on the verge of isolation in old age. When they need family and social support the most they are living alone and are feeling neglected. These changes have certainly affected the way of life and sense of well-being of the elderly to a large extent causing fracture in their social bonds. As a result of which problems like criminal activities and abusive behaviour faced by the elderly are on the rise.
According to, National Crime Record Bureau Report [6] has found its nationwide survey that 41,942 elderly have been murdered, hurt and robbed in India from 2015 to 2016. This survey has also explored that the family members, neighbours and strangers are involved in committing murder against the elderly. HelpAge India [5, 7] conducted a study on elder abuse in 20 major cities of India. This study reported that the daughter-in-law (61%) and son (59%) emerged as the topmost perpetrators. The most common form of abuse experienced by the elderly is disrespect followed by verbal abuse and neglect and elderly are beaten in the family as well as in neighbourhood. This study has also identified the major reasons behind the elder abuse such as lack of adjustment, economic dependence of the abused, increasing longevity and economic dependence of abuser. Similarly, Group for Economic and Social Studies [8] studied nature of crime against elderly in four metro cities such as Chennai, Kolkata, Mumbai and New Delhi. This study pointed out various types of crime such as crime against the body, which are committed against the elderly. These crimes are recognised as crime against the body, crime against the property and economic crime. This study found that those who are rich elderly, they are more vulnerable to exploitation and physical threats for property and financial gain from their family members, relatives and antisocial elements. The survey shows that overall 48.6% elderly in our country are not being respected by their family members, relatives and society [9].
Mallick [10] has pointed out in a study that the elderly women are discriminated in the society on the basis of gender and age. He has mentioned that “the negative connotations of ageism and ideas of dependency and impairment aggregate in the negotiations of power within the society. Ageism and structural divisions combines to create power imbalances that are predicated on the notion of women as being of inferior status”. The gender dimension of ageing reflects that both elderly men and women face discrimination, violence and abuse due to age but elderly females have more experience differently due to the subordinate status and stereotyped attitude towards elderly females. The gender relations structure the entire life cycle from birth to old age, influence access to resources and opportunities and shape life choices at every stage. Often elderly women suffer more from elder abuse and they are treated as a burden on the family because it is considered that they are not reproductive and income generating person in the family they [11]. Therefore, elderly women are subject to harmful practices in the society which can involve in both family and society. The position of elderly women has affected due to socio-technological changes, loss of joint families, changing norms and values and dual career families [12].
Socio-ecological paradigm shapes perception and practices within the disciplines according its subject matter. It shapes what we look at, how we look things, what we label as a problem, and what problem we consider for worth investigation and what methods are preferred for the investigation. Basically, socio-ecological paradigm states the level of interaction and relationship between individual, family members and neighbourhood members in a particular social setting and how these interactions and relationships influence the way of life and well-being of the individuals [13, 14]. Bronfenbrenner [13] has discussed the system of interactions and relationships under socio-ecological paradigm. The relationship and interaction between the elderly and individuals within their immediate settings such as their family and social networks. It also talks about the social structures and social systems that do not directly contain the elderly but which impact upon the immediate micro system in which the elderly are situated and can include health policy, social welfare system and adult protection services. It also centralises on the overarching beliefs and dominant social values around ageing, such as ageist attitudes towards elderly.
The nature and problem of crime against elderly women can be understood and analysed with reference to Indian society by using above discussed socio-ecological paradigm. The respect and honour for the elderly (women) is deeply rooted into Indian value system and way of life since the ages. The elderly women have always enjoyed a respectable place in family matters and decision making of Indian society. They have provided the entire fabric of the social reality with proper care and concern which have played a nurturing role in the family and society. But the advent of changing socio-economic scenario has weakened the fabrics of social bonding between elderly and their family members. Hence, these have not only affected the respect for and decision making power of elders and elderly women but they have contributed its role in bringing a number of problems before elderly parents and elderly women in India. Today, the elderly (women) are being abused physically, emotionally, verbally by known and unknown persons and sometimes crimes are committed against them in family and society. Aforementioned problems of abuse and crime in various forms have brought social, physical and cognitive frailty among the elderly women in the society as well as family.
The study has two objectives; first objective understands the nature of crime against the elderly women and second objective examines relationship between elderly women victims and their offenders and also examines the impact of crime on physical and emotional well-being of elderly women.
The present study is based on content analysis. Content analysis is a method of qualitative and quantitative data analyses which aim is to analyses the content of documents, books, newspapers, magazines and other forms of written material. Berelson [15] has defined that “content analysis is a research technique for the objective and systematic description of the manifest content of communication (verbal and non-verbal materials)”. The researcher applied this method for the study due to unavailability of specific data on crime against elderly women. The research found newspaper as a best source for data collection related to crime against elderly women. The researcher saw the patterns and nature of crime against elderly with the help of every day news papers’ analysis and observation and based on this he made contents for his study such as age group of elderly women, crime rate in rural–urban areas, nature of crime and victim-offender relationship. For this task, researcher went through two national newspapers like
Newspapers have shown that crime against the elderly women is an emerging social problem in Indian society. A total of 103 cases have been collected from March 2012 to March 2013.
Looking at the age group of the victims, we find that the elderly in the 60–65 year age category have been victimised the most. There are 38 (36.8%) such cases in that age group. The study reveals that 33 (32.0%) case of crime against elderly women belong to 66–70 year age group and 18 (17.4%) case of crime against elderly women belong to 71 and above age group. Moreover, the study indicates that the age of victims has not been found in 14 (13.8%) cases of crimes (Figure 1).
Age group number of cases.
A total of 39 (37.1%) cases of crimes against the elderly women have been reported in rural area as compared to 64 (62.9%) cases of crimes reported in urban area. The crime rate of an area decides level of fear of crime. The crime rate of an area reveals anxiety about crime and it is also found that crime rate is higher in urban areas and urban people are more fearful than rural areas [16] (Figure 2).
Rural–urban ratio of crime rate.
The break-up of 103 cases of crime shows that there are 23 (22.4%) cases of murder, 12 cases of attempt to murder, eight (7.7%) cases of cheating, six (5.8%) cases of robbery and 10 cases of theft, 13 (12.6%) cases of hurt, 10 cases of mistreatment and 14 (13.6%) cases of chain snatching. The remaining seven (6.7%) cases pertain to accidents and suicides (Figure 3).
Nature of crime against elderly women.
Figure 4 reveals that 25 (24.2%) cases of crime against elderly women have been committed by known persons such as family members and relatives. The study has also found that 29 (28.3%) incidents of victimisation have been committed by the neighbours of the elderly. Thus, it can be said that elderly women are insecure in their families and neighbourhood. Similarly, some researchers have pointed out this trend in their studies that the family members, relatives and neighbours abuse and victimised the elderly which brings many frailty such as physical, emotional and social frailty among them [17, 18]. The study has found that found that 36 (34.9%) cases of crime have been committed by strangers. Furthermore, 13 (12.6%) incidents of crime have occurred as accidents. In these incidents, criminals are not involved but these incidents points to the negligence of village as well as town municipal administrators [19].
Victim-offender relationship.
The nature of crime which is directed specifically against the elderly women and in which only elderly women are victims are considered as crime against the elderly women [20, 21]. The crime against the elderly women is known as abuse and includes any sort of physical aggression or misbehaves. The crimes against the elderly women may involve different means such as hitting, kicking, biting, shoving, and restraining, throwing objects. In broad terms, it includes threats, sexual abuse, and emotional abuse, controlling or domineering intimidation, stalking, passive/covert abuse and economic deprivation, rape, abduction, kidnapping, murder against the elderly women [20, 21]. Similarly, present study has found some specific crimes which have been committed against the elderly women. These crimes are murder (22.4%), attempt to murder (11.6%), hurt (12.6%), robbery (5.6%), cheating (7.7%), mistreatment (9.7%) chain snatching (13.6) and other crimes (6.7%).
Victim-offender relationship is the most important finding in the study of crime against the elderly because victim-offender relationship plays an important role in effecting of wellbeing of the elderly women. The study has found that in many cases elderly women have been victimised due property. These elderly women were staying with their family members because their husbands were no more and they had property and bank account. Known persons victimised the elderly women for occupying their property and bank account. The study has pointed out that elderly women are not victimised only for property reasons but also economic dependency on the family members. Similarly, a study has quoted that familial relationship is no more based on love, affection and care. Instead there is an emergence of contractual and utilitarian relationship. Sons look after their aged mothers not out of sense of respect but out of selfish motives to get hold of their property and money [22].
A glimpse of crime against the elderly women can be had from the newspapers. These cases of crime are such: “
Moreover, the study has pointed out through news items that technological innovation, urbanisation and migration have significantly affected our value based social system because these changes have brought the technological innovation. This technological innovation has exposed individual to all kinds of violent behaviours and abusive behaviours which are the major factors behind the crime against elderly women [23, 24]. Further, the study has found that that economic growth has brought to India problems inherent to rapid urbanisation and migration which have affected the contemporary way of life. Urbanisation and migration have resulted in loosening of social controls and widening of social gap between the privileged and the disadvantaged. Security and violence have not been regarded as core issues of urban management. This is one of the major reasons for increased crime (against elderly women) in the society. Separation from family, lack of identity and possible anonymity of the migrants is also a possible explanation of the increasing rate of crime against the women (elderly women) [23, 24, 25].
This study found that victimisation affects the well-being of elderly women which lead many other problems before the elderly women. The study has found that the mistreatment is more common among the elderly women, which raise the feeling of insecurity, depression and isolation. The mistreatment leads to physical ill-health and lack of emotional bonding with family members and other individuals. The present research has pointed out that the family members do not give proper attention and provide basic needs such as food, cloth and medical facilities in rural areas which brings cognitive, physical and social frailty among the elderly women. The study has found that most of rural elderly women are not economically strong and are also widow and due to it they are dependent on their children and other family members for their basic needs. Most of times children and other family members do not fulfil their demand and they behave rudely with elderly women on their any demand. These ignorance and rude behaviour emotionally weakens them and brings many problems to them such as feeling of negligence, isolation and fear of abuse. Many researchers [26, 27] have also discussed in their studies that when elderly women are not able to care themselves due to growing age, then they have hope for caring, for activities of daily living and for the financial support from the children and other members of the family. As a result, their hope and dependence on the children and other family members become the source of abuse. Moreover, HelpAge India [7] has also pointed out in its report that emotional dependence on the abuser’ and economic dependence on the abuser are the major reasons for them being abused. In the case of urban elderly people, it is seen that when they need care the most, they are living alone and are dependent on the caretakers and neighbours because their family members have migrated to other towns for job [28]. Their caretakers and neighbours take advantage of their helplessness and abuse them. This abusive behaviour affects their well-being and raises the feeling of insecurity.
The Researcher has also focused on frailty to examine its impact on the physical and emotional well-being of the elderly women with the help of news items. The researchers has found during the analysis of news items that in many cases elderly women have expressed that they are physically and socially weak and are not able to protect themselves. The researcher has found that many of the elderly women are suffering from multiple diseases such as paralysis, eye sight problem and diabetes. The elderly women have become weak due to these diseases and these diseases have reduced their physical capability. Due to such physical frailty, they are not able to protect themselves from any mishappening or criminal assault. The researcher has also analysed hat many elderly women think that they are emotional weak because in old age they are less engaged in social activities and consequently, feel isolated. The news items indicated that children and other family members do not have time for the elderly women and they do not have ‘we feeling’ like people of past. They are of the view that materialistic way of life has affected Indian social structure a lot and has contributed its share in bringing emotional frailty among the elderly women. Similarly, Patel and Mishra [29] has found in their study related fear of crime among the elderly that the nuclear families, working couples, changes in neighbourhood behaviour have left the elders neglected, uncared for and lonely. The social support of the elderly has weakened. Due to this many elderly are frail, vulnerable and cannot help themselves [14, 30].
The paper implies that crime against the elderly women is an emerging social problem in India. In this paper researcher has tried to highlight the nature of crime against the elderly women through news items. The news items show that occurrence of crime in neighbourhood affects the way of life and sense of wellbeing of the elderly women because those who were victimised, they expressed their fear and said that they are not safe anywhere. Findings have found that maximum crimes against the elderly women have been committed due to money and property and mostly these incidents of crime against the elderly have been committed by known persons such as family members and neighbours. Finally, Government should implement abuse preventive and elder supportive mechanism for the safety and security of the elderly women. Moreover, the paper suggests about the police accountability for the protection of the elderly women from crime as well as fear of crime. Police should implement neighbourhood watch programs through community policing. Police Friendly Mobile System should be implemented by police, which motive is to solve the public problems and the problems of elderly women. The paper also suggests that elderly women should follow some guidelines for their safety and security. These guidelines such as elderly women should have telephone numbers of police helpline and neighbours so that in case of any mishap immediate help could be sought. The elderly women should install good locks, auto locks on doors and windows and use door chains, magic eye and strong grills on the doors and windows.
There are certain limitations of this study. The present study is based on secondary data which have been collected through newspapers of few places. These secondary data do not reveal clear picture of crime against elderly women. Whatever cases related to crime against elderly women have been collected from newspapers, they are very few and focus only on the crime of a particular area. It would be difficult to make generalisations from this study considering that there is great diversity of experience and difference in perception and nature of crime against elderly women in the society.
Risk-based security is built around the premise that information obtained from observable aspects of human identity and possession and knowledge acquired about hidden aspects of human capability and intent can be intelligently combined to assess to some great extent of accuracy the threat a given individual poses to a security system, be it an airport or a border crossing point (BCP). Then, in turn, associating the estimated level of threat with a measure of risk by factoring in the cost that the assessed threat can represent to the system that is being secured by taking into account the impact and cost a given threat can have on a security system, a risk-based security approach can be designed and implemented, whereby security checks are tailored to be commensurate to the estimated risk each individual may pose, instead of being uniform irrespectively of the risk posed by each individual, as is the case today. Taking into account that less than 5% of all individuals can be a potential security risk, the savings in terms of time required to go through risk-based security systems with speedier tests for the 95% of low to no risk individuals can be significant, waiting times in security lines can be reduced and thus the level of comfort and customer satisfaction be drastically improved.
The concept of
The concept of risk-based security is indeed promising in terms of improving travelers’ experience by easing off security screening and reducing the overall time required to spend at a security check-point. However, the difficulty in implementing a risk-based security systems lies on: (a) developing and implementing non-intrusive, GDPR1 compliant technology and systems that can estimate the risk level of each traveler without inducing additional and cumulative delays; (b) testing such systems before rolling them out in operational environments; and (c) estimate their performance and efficacy under ideal conditions for obtaining performance bounds, calculating the cost of the required investment for implementing risk-based technologies; and (d) calculate the degradation in performance when moving away from the “ideal” operational conditions into realistic operational conditions.
The European Union (EU) and other international organizations promote this approach through various initiatives. The European Commission (EC) issued the “Smart Borders package” which aims to modernize the Schengen area’s external border management by improving the quality and efficiency of border crossing processes through the establishment of ‘Stronger and Smarter Information Systems for Borders and Security’ [1]. The International Air Transport Association (IATA) proposed a Checkpoint of the Future, designed to enhance security while reducing queues and intrusive searches at airports by using intelligence-driven risk-based measures [2]. Along these lines the EC funded the Research and Innovation project FLYSEC [3] has developed and demonstrated an innovative, integrated, and end-to-end airport security system facilitating risk-based screening with the introduction of novel intelligent technologies.
This chapter
Figure 1 shows a today’s conventional security check point whereby we distinguish two types of checks: (a) the “normal” check where all individuals in the security check area are treated uniformly by applying the same level of security for all; and (b) the “increased” security check point where travelers are channeled if they fail at normal security check point. It should be pointed out that in this security system of check points, currently implemented almost worldwide, the “increase inspection” is usually the outcome of randomized selection of travelers to be subjected to an increased level of inspection and is usually based on the principle of “importance sampling2” methods. These methods try to detect a probabilistic event, such as the existence of a suspect among travelers, with a certain degree of confidence by taking into account the probability of existence of such an event and possibly the range of values the event can assume. These methods are “blind,” that it they draw samples from the distribution indiscriminately and without takin into account any specific attributes of the samples, and thus, they are also GDPR compliant. As it will be pointed out further down in the chapter, risk-based methods need to pay special attention to comply with GDPR as they gather and use information and knowledge about individuals’ private data such as identity, possession, capability, and intent.
Today’s security check-point concept (curtesy of TRESSPASS).
Risk-based security associates the estimated risk for each traveler with a commensurate level of security scrutiny. Using prior information about each traveler and sensory data obtained while the traveler is within the security perimeter of a monitored area, a risk-based security system assigns a risk factor to each traveler and depending on the value of the risk factor, the traveler is mapped to a level of security scrutiny commensurate with the perceived risk. Although different number of levels can be associated with the estimated risk, for practical reasons, it is sufficient to associate the entire range of risk values into three different levels of security, Trusted/Registered (Green), Casual (Yellow) and Enhanced Security (Red), as shown in Figure 2 [5].
Association of three security scrutiny levels, namely “enhanced security,” “casual traveler,” and “trusted/registered” with the estimated level of risk for each traveler. These three levels have been introduced in the FLYSEC project [
In Figure 2,3,4 a number of GDPR-compliant technologies that can be used for and contribute to the risk assessment are shown in and include: mobile app way finding; dynamic travelers flow management; intelligent visual surveillance; Wi-Fi/Bluetooth localization; RFID mobile tracking; and behavioral analysis & risk-based security personnel mobile app.
Figure 3 represents a risk-based security check point that results from combining the three-level risk-based security screening of Figure 2 with the conventional security screening of Figure 1. As it can been seen from Figure 3, the need for assessing each traveler’s risk factor from various observable parameters requires measuring somehow these parameters, of course in a GDPR compliant way, and thus additional processing steps and capabilities that may induce additional delays in screening process. Thus, the fundamental premise of risk-based security as a means of providing the same, at least, level of security as conventional check points without inducing additional delays, seems to be in conflict with the additional delay induced by additional screening tests required for estimating each traveler’ risk index, unless the risk assessment process is done transparently while the travelers move from the entry to exit points in a BCP (Border Crossing Point).
Risk-based security check point: The standard (randomized scrutiny checks) security check point of
Figures 4 and 5 depict two block diagrams implementing the conventional security screening process of Figure 1 and the risk-based security screening process of Figure 3 respectively. From the two diagrams it is clear that additional screening stages are required for assessing the risk for each traveler in risk-based security. Each one of these additional risk assessing stages induce additional delays in the security screening process, that add up to an overall additional time required for risk-based security screening compared to the time required for security screening through a conventional security check point.
Configuration 1 (current BCP implementation).
Configuration 2 (risk-based BCP implementation).
Thus, it appears that risk-based security may require additional processing time for estimating risk that may offset the benefits from faster security screening for those travelers whose estimated risk classifies them in either the “trusted/registered traveler” or “casual travelers” categories for whom security screening is relaxed and thus faster than the time would be required to screen them in today’s conventional check points of Figure 1. Granted that over 90% of travelers fall within these two categories and will experience reduced delays at security screening, it remains to determine if the aggregate benefits from the reduced security screening at check points will trade off positively against the additional delays induced by the additional screening points for determining each traveler’s risk as in Figure 5.
In order to quantify the cost–benefit trade-offs between the efficiency of a risk-based security BCP and the delay induced by additional checks required for assessing risk, the following experiment was conducted using Fraunhofer’s FhG BCP Monte-Carlo agent-based simulator of a BCP configuration (curtesy of Fraunhofer Institute) [4].
For the simulation, we assumed a BCP with 1000 travelers, some exhibiting normal (no risky) behavior, whereas the rest exhibit suspicious behavior, with the following parameters:
Distribution of traveler types: [Normal, Suspicious]: [0.9,0.1]
Alarm threshold for each component: 0.5
Risk calculation: According to the script below:
Effectiveness calculation:
Ran over 10000 iteration with 100 travelers each time for both the configurations.
Using the above script for generating travelers with the above choice of parameters, 10.000 iterations with 100 travelers each time were run for each one of the two configurations of Figures 4 and 5, and the effectiveness (as defined above) of each configuration was calculated. The results regarding the effectiveness (as defined above) of each configuration are qualitatively summarized schematically in the graph of Figure 6.
Effectiveness calculation of a conventional BCP with random security checks determined by importance sampling versus risk-based BCP configuration: Effectiveness increases with the use of risk-based security in a BCP.
Effectiveness calculation of a conventional BCP with random security checks determined by importance sampling versus risk-based BCP configuration taking into consideration the additional delays induced by the additional risk assessment stages in configuration 2: Effectiveness increases with the use of risk-based security in a BCP, while induced delays increase as well.
From Figure 7 it is clear that there is a competing mechanism between effectiveness (another way of stating “comfort”) and delay induced by a risk-based security BCP versus a conventional BCP with randomized tests based on the theory of importance sampling5. The aim of the two EU-funded projects FLYSEC and TRESSPASS, coordinated by the author, is for FLYSEC to: (a) demonstrate that there is technology available or can be developed to implement risk-based security in a GDPR compliant way; (b) provide solid evidence of the risk-based security screening as an effective and non-instructive means of providing security with convenience to travelers; and for TRESSPASS to: (c) provide a comprehensive risk-assessment framework for calculating risk systematically in accordance with the TRESSPASS multi threat, multimodal that includes all
measures undertaken with third countries or service providers;
cooperation with neighboring countries;
border control and counter-smuggling measures;
control measures within the area of free move,
by taking into account estimates and information about.
Multi-modal, multi-tier TRESSPASS risk-assessment model.
Observable and hidden risk factors.
Thus, the aim of the two funded projects, namely FLYSEC and TRESSPASS, is to provide solid evidence and the means for moving the operating point (OP) of a risk-based BCP from the delay induced OP to the no-delay induced OP, or as close to it as possible without inconveniencing travelers and in a GDPR compliant way, as shown in Figure 10.
Moving the operating point of a risk-based BCP to minimizing security check delays is the objective of both FLYSEC and TRESSPASS EU-funded projects.
The greatest challenge in risk-based border management is the estimation of the risk for each individual traveler. In TRESSPASS, a framework for modeling risk and a systematic approach of quantifying risk are proposed as follows:
Risk indicators are accurately estimated from available data collected from background information.
The risk for each traveler is calculated.
Based on risk, the system adjusts the number and types of security checks required for each traveler, in order to maintain a desired security level while optimizing the security system performance in terms of efficiency, traveler satisfaction and operational cost reduction.
Figure 11 summarizes in a comprehensive visual depiction the risk-based framework used in TRESSPASS [4], and previously introduced in FLYSEC [3]. The framework for risk-based security consists of an extensive use of technologies to estimate risk from both Observable and Hidden risk indicators across all four security tiers and heavily tested, both in vivo and in vitro through simulation, in carefully designed pilots across all three BCP modalities: air, land and sea.
TRESSPASS comprehensive risk-based security framework.
Paramount to the design and testing alternative designs of risk-based security concepts, technologies and protocols, in order to achieve the increase in effectiveness of BCPs with the parallel reduction of delays, is the use of simulation. iCrowd is an agent-based simulator that can be used to implement and test different risk-based concepts and technologies in a flexible and realistic simulation environment [6]. Figures 12 and 13 show a photo-realistic virtual reconstruction of an airport used extensively in simulating security scenarios and policies for a variety of projects and pilot use-cases.
Photo-realistic, agent-based simulation using iCrowd.
Queue lanes in a risk-based security checking system: Photo-realistic simulation provided by iCrowd.
The iCrowd Simulator is an agent-based simulation platform capable of handling small-scale to large-scale crowds and calculating the change of the status of each participating component depending on dynamic interactions with other entities or the environment during simulation time [7, 8]. It can be utilized in any bounded area, i.e. building interiors and exteriors, stadiums, or any exterior area e.g. public places like squares, open-air festival etc. Currently, it is being used to simulate crowd movement and crowd interactions in general, with the graphical display being optional. As
iCrowd offers a fully operational flow simulation for travelers and personnel inside an airport, as displayed in Figures 12 and 13. It enables the user to define simulation scenarios, it is implementing a sophisticated crowd engine with collision avoidance6 with multiple, different behaviors that can co-exist inside the same simulation. It also supports distributed simulations, operating as an orchestrator. It has been integrated with the C2 Web Portal OCULUS Air to communicate data, such as displaying the position and the movement of simulated entities in real time, and the Fusion and Ingestion Server to update travelers’ status accordingly depending on their interactions with the airport’s hardware and other security technologies (i.e. Beacons, RFID scanners and RFID tags for carry-on luggage tracking), Figure 14(a)–(d).
(a): Aspect of third-person camera. (b): Path planning example: The green line indicates the path the selected agent (displayed are red) is following (c): Travelers enter the airport. The display of hold and hand luggage is turned on. (d): Travelers go through the check-ins. The display of hold and hand luggage is turned on.
This section of the chapter presents and discusses implementable means for assessing risk without inducing additional delays beyond what passengers experience with today’s screening process, but instead reduce the time it takes to go through the security screening process by adjusting the level scrutiny in accordance to the perceived risk.
If passenger trajectories at an airport, or any BCP by the same token, could be tracked from the moment they enter the airport or the BCP in general, one could conceivably be able to differentiate suspicious looking trajectories from trajectories that would be expected for a passenger and thus classified as normal. Differentiating, however, between normal and abnormal behaviors may be a difficult proposition by itself, let alone that it should be done in accordance with privacy and GDPR regulations.
In the work presented in [9, 10], those two issues were addressed as follows. To develop a privacy and GDPR compliant tracking method, we assumed that passengers are tracked using overhead cameras that identify passengers as point targets from their top-down footprints (silhouettes); the footprints are reduced to a point for each passenger and are tracked across the entire airport area or BCP. In the initial phase of the study in [9, 10], it was assumed that passengers tracking was perfect, i.e. that all passengers’ traces as they moved around the airport or BCP area are (anonymously) identifiable and traceable. i.e. that the tracking system has perfect knowledge of the position of each passenger at any time. Although the assumption of perfect knowledge is idealistic, it allows us to get upper bounds on the performance of the tracking system that can be used to make trade off calculations between cost of investment on cameras infrastructure versus the (theoretically) achievable accuracy of the risk calculation.
The difficulty in risk assessment based on trajectories stems from the difficulty in defining what constitutes an abnormal behavior and how it can analytically be described. In the approach in [9, 10] this has been overcome by defining what constitutes a normal (expected) behavior, training the AI (Artificial Intelligence) system to recognize normal behavior and test it with abnormal behaviors to reflect loitering, jittering, and other deviations from expected “normal” behaviors.
Figure 14(a) through (d) are snap shots from the native visualizer of the iCrowd simulator simulating an anomaly detection mechanism based on travelers’ tracking AI algorithm based on a Recursive Neural Network (RNN) [9, 10]. As discussed above, we assumed that travelers can be tracked anonymously using top-down view cameras in compliance with GDPR and ethics regulations. Based on a model of what constitutes a normal traveler route (trajectory) in an airport (or similarly any other BCP), a convolutional recursive neural network was trained with “normal trajectories” generated by the iCrowd simulator. Once the RNN is trained with “normal trajectories,” travelers with “suspicious behaviors” are generated among travelers with “normal behaviors” and the algorithm is tested if it could detect the “suspicious trajectories.” In Figure 14(b), the traveler with suspicious behavior is color-coded red. The risk assessment algorithm detects and identifies the suspicious traveler in Figure 14(d).
A complete technical description of the anomaly detection algorithm is given in the references [9, 10]. Next, we summarize the results in [9, 10] in order to demonstrate the possibility of implementing a risk-based security system that monitors traveler risk continually without additional delays that can offset the benefits of the risk-based approach.
The evaluation of the risk assessment system of [9, 10] is done using the Precision-Recall (PR) diagram, the Receiver Operating Characteristic (ROC) curve, the Confusion Matrix, the F1-score and the Total Accuracy, as defined next:
Precision = (# of true suspicious behaviors detected)/(# of total labeled suspicious behaviors)
Recall = (# of true suspicious behaviors detected)/(# of total suspicious behaviors)
Receiver Operating Characteristic (ROC) curve = Probability of detection versus false alarm probability diagram
Confusion Matrix = Normal versus abnormal confusion matrix
F1-score = 2*[(Precision * Recall)/[Precision + Recall] which is the harmonic average of Precision and Recall.
Total Accuracy = (# of Total Assessments)/(# of Total Cases)
Figures 15–17 illustrate the PR diagram, the ROC curve and the Confusion Matrix respectively. Eqs. 6 and 7 calculate F1-score and Total Accuracy respectively. It should be reminded that the values of all evaluation metrics are defined within the interval [0, 1]. The closer to 1 a value lies, the better the achieved performance. Table 1 summarizes the values of the recruited evaluation measures. The threshold score derived by the RNN architecture, by maximizing F1-score, is 3.7.
Precision-recall diagram.
ROC curve.
Confusion matrix.
Measure | Value |
---|---|
Average PR score | 0.66 |
ROC AUC (Area Under Curve) | 0.97 |
F1-Score | 0.78 |
Total Accuracy | 0.99 |
Values of the recruited evaluation measures.
Furthermore, the F1 score (i.e. the harmonic average between Precision and Recall, Eq. (1)), along with the Total Accuracy, Eq. (2), the ROC AUC (Area Under Curve), and Average PR score, are calculated in Table 1,
Most of the
Although the conditions the risk assessment algorithm was evaluated under assumed perfect knowledge of the traveler trajectories, relaxation of the assumption of perfect knowledge of the traveler trajectories by injecting noise in the position accuracy and/or assuming missing position data, did not have a considerable negative effect on the detection of abnormal trajectories as discussed next.
In order to assess the performance of the anomaly detection algorithm in realistic conditions we introduce noise in the data to emulate the uncertainty in passengers’ positions reports. The “noisy data” emulate the inaccuracy in the reports of the positions of the people in the space. Under realistic conditions, the tracking and risk assessment system will receive data from inaccurate sources, such as cameras, sensors, etc. used to estimate distances, mobile signal strength, etc.
In stark contrast, the iCrowd emulator produces people and their movements, and periodically reports the exact ones (so without noise) their positions in the risk assessment system. During the preprocessing of this data the possibility of the system to add Gaussian noise, the “volume” of which (parameter σ2 of Gaussian noise) is given by the user. This is obviously not intended to never be used in real application, and exists only for experimentation. For examining the behavior of the system under realistic conditions is required noisily data of different intensity.
Noise can enter the system in 2 cases: during training and during testing or actual application. It is known that when training any neural network, it is good to have variety in the data in which the network is exposed so that it is not over-trained. So, it is expected that training with Noisy data can improve the overall performance of the system. During testing or the actual implementation of the system would definitely be better to have perfect data, but unfortunately this is often impossible. In the context of the internship training and validation data were performed with Gaussian noise with σ2 from 0 to 1.9 with step 0.1, testing data with corresponding noise levels, and for each combination they were trained and evaluation of the neural network, and metrics were calculated for each of them. The metrics used were the Receiver Operating Characteristic curve (ROC curve), the Precision-Recall curve (PR curve), and the corresponding Area Under Curve (AUC) scores. These metrics give similar results, in the sense that they are defined in [0,1] with value range [0,1], so the minimum AUC value is 0 and the maximum is 1. Higher value means better true positive and true negative to false positive and false negative ratio. The two metrics generally return similar results, but in our case more weight is given in metric PR, as it offers a better estimate in cases that interest us more the positive class of results, or the results consist of significantly more elements of one of the two classes. Both features apply in the case of this risk assessment system.
During the experiment, networks emerged that failed to find an acceptable solution to why either they were trapped in a local minimum or they encountered the phenomenon of exploding gradient. These cases appeared to be random and independent of the parameters noise, so the network was initialized differently and the training started from the beginning. The experiments were performed using 3 levels of congestion in space, low, moderate, and high, and for each of them 40 neural networks were created, one for each training/testing noise combination mentioned above. For every desired network, 4 independent trainings were conducted and the averages of metrics of interest were kept. The same test data, corresponding to low-to-medium congestion, were used for testing all tested models. The final results are presented below (Figures 18–20):
Training with low congestions data with different noise levels. Testing with low-to-medium congestion data.
Training with medium congestions data with different noise levels. Testing with low-to-medium congestion data.
Training with high congestions data with different noise levels. Testing with low-to-medium congestion data.
From the ROC AUC score graphs above, it is seen that the models that result in the highest performance correspond to the following noise level in the training data:
For low noise data, the best performing data with AUC = 0.91 corresponds to noise level σ2 = 0.8 in the training data.
For medium noise data, the best performing data with AUC = 0.96 corresponds to noise level σ2 = 1.6 in the training data.
For high noise data, the best performing data with AUC = 0.95 corresponds to noise level σ2 = 1.4 in the training data.
From the above results it is clear that the performance of the networks remains constant when we apply noise to the test data. This implies that, since training completed, the network remains robust and is not affected by data noise, so it can to be used in a real application. Of particular interest are variations that occur when present noise in education data. As mentioned above, training a neuron network usually benefits from the difference in training data, as it helps learn the patterns that appear in the data instead of the data itself. This obviously does not mean that the more noise the better. In every network and for every application there is some optimal noise level that offers the best performance. At cases with low and moderate congestion it seems that the Gaussian noise with σ2 ∼ 0.5–0.8 has the best performance, while for high congestion the training with noise performs better with σ2 ∼ 1.4. The variance has not yet been attributed to any of its specific features network, model, training method, or data.
The evaluation results from the performance of the risk assessment algorithm with the iCrowd simulator demonstrates that risk assessment can be done accurately and without necessarily inducing additional delays in the security screening process since the trajectory classification in normal or suspicious is done by overhead cameras while the travelers go about their normal check-in routine at the airport. To that extent, the proposed risk assessment method based on anomaly detection on traveler trajectories can be used to improve the security screening effectiveness while keeping the delay low (or moving the operating point in Figure 10 from high delay to low.).
Furthermore, the proposed method can be used as a financial investment tool for estimating the cost of acquiring the necessary equipment (in this case overhead cameras) for a certain level (probability of accuracy) before purchasing it, and for performing a trade-off analysis between the cost of acquisition of the necessary equipment and the expected performance improvement in risk assessment. This way, the risk assessment simulator allows to be used as a cost–benefit tool for the analysis of performance of a risk-based security system.
In its current form, the work in [9, 10] uses the time series of the coordinates of the trajectories of airport travelers for deep learning. In the future, additional features could be exploited. Such features are the velocity, acceleration and heading of the traveler. Moreover, alternative deep learning architectures could be tested such as the ones that account for contextual anomalies [11]. Furthermore, experiments on real-world data of human trajectories should be conducted. Such data are expected to contain more subtle and sophisticated anomalies. Finally, procedures that degrade data quality and emulate more realistic operational conditions are being implemented in order to test our system in the artificial presence of missing data, noisy data, data association issues, as is the case with data capturing devices operating under realistic operational condtions. Nevertheless, the present work and framework allow security investment decisions on tracking devices and infrastructure to be made by assessing the effectiveness of such an investment through the proposed risk assessment method that envelops the performance of any such system from above by considering ideal tracking conditions through perfect knowledge of all agents’ location. The proposed method and framework is currently being extended to cover other border security modalities, such as sea, land as well as multimodal crossing points in the context of the EU-funded TRESSPASS project [4].
In conclusion, a deep learning architecture for real-time risk assessment based on the trajectories of airport travelers as proposed in [9, 10] can be used for assessing risk without interrupting or delaying the flow of passengers at an airport or BCP at large. The architecture implements a deep RNN network and is fully automated. Thus, it is expected to be of great use to the human operators monitoring airport surveillance footages, reducing the potential errors and misjudges. The proposed risk assessment system is tested on a realistic, synthetic data set generated with the iCrowd simulator tailored to data sets representing traveler movements at the Luxembourg airport; however, any airport or BCP could have been modeled and used instead. The experimental results are very promising and they indicate that further security improvements at airport control points are achievable through risk assessment without inducing additional delays. This is due to the fact that the suspicious behavior threshold, derived by the deep learning procedure in [9, 10], lies at such a level so as to capture the malicious behavior while, at the same time, reducing false-positive alerts.
In [3] a GDPR compliant, mobile application was developed to allow security personnel on the floor of an airport, or any BCP, report in real time and with full respect to passengers’ anonymity, suspicious behaviors, such as nervousness, unjustifiable sweating, etc., while passengers stand in security check lines. The mobile app works in conjunction with Smart Queue, another enabler of risk-based security [5]. Smart Queue is system that works in conjunction with passengers’ ID documents; the system scans the passengers’ ID document upon their arrival at the airport, or entry in the BCP, and in any subsequent security queue. This way, Smart Queue not only does it count the number of passengers at a queue waiting to go through security screening, but knows in which position in the queue each passenger stands. This way, the security personnel that uses the security mobile app, needs to identify passengers only by their indexing number in the line they stand when reporting to the risk assessment back office system any suspicious behaviors about them. This way, anonymity of passengers and their personal data protection are maintained by the security mobile app. The information sent this way by the security personnel on the floor is then fused along with all other risk assessment reports about each passenger and the risk estimate is updated. The risk is reported to the security screening system and the passenger is classified in one of the three risk categories, namely green, yellow or red, as mentioned earlier.
In FLYSEC [3], a novel system architecture for Security and Safety surveillance systems that aims to identify adverse events or behaviors which may endanger the safety of people or their well-being has been introduced [12]. Through proper adaptations the system is applicable to a variety of monitoring systems for various critical infrastructures, border crossing points, and other places of interest (e.g., malls, mass transport systems). The proposed architecture depicts an Internet of Things (IoT) platform which comprises a sensing tier, a back – end processing and intelligence tier and a front end for visualization and user feedback tier. In further monitor and surveillance is performed mainly on the back – end intelligence component which consists of two modules: (a) the event detection module combined with a data fusion component responsible for the fusion of the sensors inputs along with relevant high level metadata, which are pre-defined features that are correlated with a suspicious event, (b) an adaptive learning module which takes inputs from security personnel about the correctness of the detected events, and uses it in order to properly parameterize the event detection algorithm. Moreover, a statistical and stochastic analysis component is incorporated which is responsible for specifying the appropriate features to be used by the event detection module. Statistical analysis estimates the correlations between the features employed in the study, while stochastic analysis is used for the estimation of dependencies between the features and the achieved system performance.
The system architecture is organized basically in three tiers: Sensing components, back–end components, and front – end devices. The sensing components are responsible for acquiring input which is either high or low level heterogeneous data coming from visual sensors (CCD, IR, etc.), biometric sensors (fingerprints, other), audio sensors (microphones), indoor localization equipment (Wi-Fi, beacons, RFID scanners, etc.), document scanners which provide information about visitors (for example travel documents in an airport, or purchase information recorded on personal discount electronic cards), or human reports via terminal devices (e.g. PDAs, mobile phones, tablets, etc.).
Front–end devices are responsible for visualizing information to end–users and assisting their operations (for example official authorities receiving information about detected incidents of great interest, or visitors getting navigation information inside an infrastructure, etc.). Front–end devices consist of official management terminal tools which manage the information collected and processed by the back–end and sensing components and assist personnel operations by providing alerts and notifications about significant events (Figure 21), visualizations of infrastructure’s layout along with real – time updates about essential points of interest (for example size of queues, sensors viability, crowd distribution, etc.) (Figure 22). Moreover, front – end devices include also mobile user devices which operate as a personal assistant to passengers at an airport or a BCP. These mobile devices may provide online and offline services regarding indoor navigation, recommendation services (for products, point of interests, etc.), notifications and alerts. Finally, via these devices each user may provide a feedback to the system about requests or reports, about incidents that may concern their safety, or public security, or interactions with the system in the context of system automatic personal servicing.
FlySec portal: - intelligent services visualization (upper); − automatic passenger classification (lower).
FlySec portal - layout visualization.
The back–end component contains the intelligence modules which process the input coming from sensing devices and produce high level intelligence and metadata which assist operational personnel, enhance end–users’ experience and content management services. These metadata are used either for further processing by fusion algorithms, or presented to end – devices via visualization methods on each end–device. Such metadata concerns directed paths for navigation services, fused high level visual information, or information regarding recommendations, detected incidents or notifications and alerts. Finally, the content management services enable efficient data storing and retrieving operations in a scalable way. The back – end component comprises a Message-oriented middleware in order to interconnect all the sensing and processing component, provides a REST API to front–end devices, supports web platforms interfaces (web – portal) and orchestrates the accurate functionality of the whole system, Figure 23.
Reference architecture of the FLYSEC security and safety risk-assessment surveillance system.
The core intelligence residing in the “Analytics, Data Fusion and Risk-based Security Server” is presented in Section 3.3. The Data protection, Legal Compliance and Ethics are important aspects that should be taken into consideration in the system architecting process and are analyzed in Section 3.4.
The proposed system is designed with the aim of enabling automated surveillance of large infrastructures such as airport, shopping malls, other. Such tasks incorporate massive monitoring of infrastructure visitors in real – time. Monitoring operation is based on an Internet of Things (IoT) installation architecture consisting of: (a) various types of sensing devices such as CCD surveillance cameras, QR/barcode scanners, localization equipment (NFC tags, WiFi beacons, etc), RFID scanners, etc., (b) processing units, both centralized and/or distributed, and (c) terminal devices such as mobile phones/tablets, computers, screens, electric signs, etc. (Figure 24).
Back-end intelligence system architecture.
Each sensor device may pre-process the acquired raw data (distributed processing) and the results are gathered on a central cloud-computing infrastructure consisting of independent but co-operative intelligent component each one dedicated for processing data and producing a specific intelligent response for the system. Moreover, the output is transferred to terminal devices. This processing procedure consists of the following steps (Figure 25).
Flow of data from sensors to the cloud or terminal devices.
The intelligent services are also responsible for automating the monitoring procedure and enhancing visitors’ experience. Therefore, we propose two types of services: (a)
These services aim at monitoring visitors’ behavior, profile, and interactions and provide information that could facilitate their purpose of visit and indicate services that act as added value to visitors and simultaneously promote each infrastructure expectations. Indicatively two representative use cases are Navigation services and Recommendation engine.
Navigation service corresponds to indoor localization and navigation of infrastructure visitors in order to assist them in reaching their desired points of interest (POI) not only as quickly as possible but also as efficient and desirable as possible by taking into account user requirements (e.g. disabilities, specific demands) and user location. Moreover, the service provide directions to each visitor via their mobile device to various POIs and informs the user in order to assist them reaching their goal of visit (for example provide information about location of various products in a supermarket, or shops in a mall, or provide information about flight departures or gates status in an airport)
Recommendation engine aims at providing suggestion of POIs or services that take place inside the infrastructure. The engine takes into account the user profile (information that each user provides optionally during account registration), user feedback (comments, rates), user location and contextual information (time, season, POI status) and create recommendations that are estimated to be assistive to user visiting experience but also promoting infrastructure and POIs expectations and benefits.
These services aim at monitoring visitors’ position and behavior and automatically detect incidents of significant interest such as malicious behavior, anomalous crowd trajectory flow etc. This solution is expected to enhance surveillance procedure for large-scale circumstances where it is demanded in real time, the accurate surveillance of a massive crowd. Indicatively we suggest two surveillance services: Suspicious unattended luggage incidents detection and suspicious visitor loitering detection.
Unattended luggage incidents detection aims at monitoring in parallel both visitors and the luggage they carry. Such monitoring could be approached either using CCD cameras and approximately detect abandoned luggage for a long period of time, or by tagging luggage (for example using RFID tags) where using RFID scanners in co-operation with visual sensors (CCD cameras) and human reports (official surveillance personnel), estimate potential unattended luggage incidents. Moreover, in order to monitor visitors’ position, we propose the use of indoor localization techniques using mobile devices in order to have an approximation of visitors’ location that willingly allow it, and in addition visual sensors and human reports as well, in order to increase system’s awareness of crowd location. Fusion of such information shall be exploited by machine learning algorithms, which result to a coarse grain estimation of visitors’ luggage abandonment.
Suspicious loitering detection aims at monitoring visitors’ location and in real–time detect anomalous visitors’ trajectories or positions that could be suspicious for malicious purposes. Such components may incorporate visual sensors (CCD cameras), human reports and mobile devices localization techniques (Wi-Fi beacons, NFC tags).
The Data Fusion unit inside the Analytics, Data Fusion and Risk-based Security Server aims to perform Hard and Soft fusion of heterogeneous data [13, 14, 15] available from disparate sources of information such as physical sensors (“hard” data) and human resources (“soft” data). Hard data fusion refers to the combination of raw information from multiple sources so as to achieve more accurate estimations of the desired parameters (position, speed, other). To this end, a variety of theoretical tools, such as Signal processing techniques, Kalman filters, Sequential Monte Carlo methods, etc., can be used. On the other hand, soft data fusion usually applies on textual information (e.g., from humans’ reports, social networks, Internet, other) which has to be further processed using methods such as Information retrieval, Natural Language processing, and Semantic knowledge representation. Moreover, in this unit, Decision level fusion techniques could be applied using Evidence theory [14, 15, 16], Fuzzy Logic [17], 2-tuple Linguistic representation models [18, 19], and reinforcement learning methods [20, 21].
The Risk-based assessment unit is responsible for the classification of events and individuals into security classes according to their risk severity level. The unit exploits behavior and event indicators and their corresponding weights estimated in the ALMS system, intelligence generated in the Back–end Intelligence component, and any useful information from the system’s data sources in order to generate alerts and notifications to the Command-and-Control (C2) center if the risk severity level exceeds predefined thresholds.
A security and safety monitoring system has to detect, evaluate, and classify, in an efficient and timely manner, behaviors and events of interest. To achieve this critical need, the algorithmic parameters used in the “Analytics, Data Fusion and Risk-based Security Server” have to be initialized and adaptively adjusted to handle changes in the monitoring environment. To this end, the use of an Adaptive Learning Management System (ALMS) which will exploit new and accumulated information is essential. An ALMS system can be applied for instance to iteratively adjust the Risk Assessment classification thresholds and the weights of the behavioral and event indicators or to recognize correlations between indicators, events, and behaviors in order to optimize the classification process and improve the efficiency of the system. An example of such an optimization approach could be the selection of a reduced number of indicators for event identification.
For the development of automated procedures able to estimate correlations, optimize selected parameters under certain criteria, and extract reduced dimensional feature vectors for Behavior and event detection the ALMS system demands efficient methodologies and algorithms. These methodologies and techniques can cover a wide area of theoretical tools including Machine Learning, Factor Component Analysis, Statistical methods, Time series analysis, Optimization theory, Sparse clustering, Fuzzy Logic, and other [18, 19, 20, 21].
As shown in Figures 23 and 26, the ALMS unit receives input from i) the system’s database which includes data from system’s data sources, outputs of Data Fusion, Analytics, and Risk assessment unit, and optimization criteria and constraints and ii) the Security personnel Mobile App which is then used for the training of the applied algorithms. The ALMS stores its output in the system database, making it accessible to other units, and creating a continuous feedback loop of information gathering, learning, and adapting to security threats as they evolve.
The adaptive learning management system architecture.
The Factor Component Analysis component performs Factor Analysis on features/indicators denoting individual characteristics which affect the categorization of individuals in security-threat levels. Factor analysis is used to reduce the dimensionality of a correlation matrix that contains features/indicators describing a specific event or behavior. Factor Analysis does that by producing new general variables, called “factors”, incorporating inside them, the initial features/indicators according to a condition of high inter-correlation between the newly emerged general variables (“factors”) and the initially presented specific variables [19, 22].
The system needs to analyze the input feed and result to its outcome, taking into account however, environmental factors regarding system’s efficiency, explicit policies that should by adopted or exceptions that should be applied, that are related to specific locations (e.g., restricted areas) or specific human profiles. Such information usually is returned to the system in the form of a generic asynchronous qualitative feedback (for example insisting user discards of system’s outcomes, or exception to system’s rules) that should be assimilated in real – time.
The system should be able to receive environmental feedback and adapt its operation to the current circumstances and requirements. Therefore, we propose a two-mode adaptation, an offline and an online. The offline adaptation regards a system initialization, responsible for translating human – understandable requirements to algorithms’ parameterization. The online adaptation should track environmental feedback for each action of set of actions (policies) produced by the system and adapt algorithms’ behavior in order to fulfill system’s requirements.
In this case we propose the implementation of reinforcement learning techniques where environmental feedback should be encoded to quantitative measures of rewards, Figure 27.
Online ALMS.
Security and safety management systems and their data fusion and intelligent analytics capabilities require substantial data collection and processing in order to offer the best possible awareness and decision support to C&C operators, field personnel and first responders. Especially in the context of homeland security, privacy and data protection is often seen through the typical trade-off model perspective, requesting the public to give up –in the best case knowingly- on particular rights over the control of their personal data. However, such systems should not be based and developed on exceptions or operate only in extraordinary circumstances, the latter being very inefficient. With the latest guidelines of EU General Data Protection Regulation (GDPR), principles of data minimization and privacy by design will shift from best practices into a much more regulated form.
The proposed system is in line with these principles, following a “by design approach” in terms of data protection and ethics. Data collected are structurally separated from identifiable information, and identification occurs only upon the logged and explicit intervention of a human operator when truly needed. By assessing risks on real time, the system itself has the advantage of performing data minimization through early elimination of lower risk cases. On the front end and field, privacy enhancing technologies and smart sensors are also preferred and selected. E.g. smart visual sensors with on-board processing capabilities can filter out data before sending it over the wire and to the server for processing. Moreover, the system has been designed to include specific safeguards to protect individuals against discrimination, stigmatization and unduly prohibition of access to goods and services. Defined in [23], the system adopts these definitions and extends them to all protected grounds as defined in the Charter and the Treaty of Amsterdam, taking also into account the proposal for the horizontal directive that extends the context of EU non-discrimination law and prohibits discrimination “on grounds of sex, racial or ethnic origin, age, disability, sexual orientation, religion or belief”. In this context, Fairness and bias detection algorithms are applied to the adaptive learning management system while the human operator remains in control of the final enforcement following any automated decision making process. Intelligent behavior analytics can further support the case where security risks are based and calculated on how a person acts on the scene and not any discriminatory background information.
A subject of past and current research, assessing the societal acceptance of surveillance and security solutions comes with its own challenges. Acceptance is based on multiple parameters, individual perceptions and sometimes misconceptions and individual practices which may not be in line with the expressed concerns [24]. The proposed system and the overall risk-based security paradigm, is based on the positive fact that the vast majority of people have no malicious intent. The system focuses on the unknown and high-risk cases, intending to shift the current practices from annoying horizontal and disruptive processes to seamless and unobtrusive security. The combination of privacy and ethics by design along with the ethical and unobtrusive treatment set the parameters for a system with high acceptance, positive public perception and trust.
In this chapter we discussed the concept of risk-based security, the possible trade-off between increased convenience for passengers from risk-based security and the delays induced by additional checks needed for establishing each passenger’s risk. We also presented a number of technologies, systems and applications that can be used for assessing risk at an airport or BCP without inducing additional delay as the discussed approaches estimate risk on-the-fly while passengers either walk around the airport or BCP from entrance to security check points or BCPs, or queue up in a security line awaiting to go through security checks. All methods discussed are GDPR and ethics compliant, thus they can be implemented in accordance to privacy and ethics regulations. Furthermore, the novel system architecture for Security and Safety monitoring systems introduced in [3] has been presented. The proposed system aims to identify adverse events or behaviors which may endanger the safety of people or their well-being having the ability to adapt in the surveillance environment changes. The dynamic adjustment of the algorithmic parameters adopted in various units of the system such as intelligence, and Risk assessment, makes it possible to monitor security threats as they evolve. Thus, the proposed scheme provides the potential of a high-performance system both in terms of the detection interval as well as in terms of the performance accuracy offering the capability of a timely and efficient response to abnormal events and behaviors.
The research described in this paper has been supported by the following research contracts:
“
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The author would also like to acknowledge the use of some material from the Refs. [5, 6, 7, 8, 9, 10, 12, 14]. He co-authored in collaboration with his colleagues whose names appear in these references.
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This chapter focuses on the heterogeneous composition of the essential oils. It discusses the usage of essential oil constituents as a key marker of the oil quality, freshness and unique characteristics. It describes the biological activity and synergistic effect of the essential oil constituents as antioxidant, antibacterial, antifungal and anticancer agents.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Nashwa Fathy Sayed Morsy",authors:[{id:"193168",title:"Prof.",name:"Nashwa",middleName:null,surname:"Fathy Sayed Morsy",slug:"nashwa-fathy-sayed-morsy",fullName:"Nashwa Fathy Sayed Morsy"}]},{id:"53463",doi:"10.5772/66623",title:"Thymus Plants: A Review—Micropropagation, Molecular and Antifungal Activity",slug:"thymus-plants-a-review-micropropagation-molecular-and-antifungal-activity",totalDownloads:2485,totalCrossrefCites:10,totalDimensionsCites:18,abstract:"Medicinal and aromatic plants are important sources for plant secondary metabolites. The genetic manipulation of plants associated with in vitro plant regeneration systems facilitates efforts to engineer secondary product metabolic pathways. The fungal infections have been increasing in recent years due to several factors, namely, the increased incidence of high-risk patients, particularly immunocompromised hosts. Aromatic plants have been empirically used as antimicrobial agents, but the mechanisms of action are still unknown. Thyme has a great interest due to the possibility of its use in different applications, in medicine, in the cosmetic industry, or as food additives. Several studies have shown that thyme oils possess antimicrobial activity. Increasingly, plant breeding has taken advantage of molecular biology developments in order to genotype the species of interest to accelerate their selection. These approaches consist in choosing desired genotypes based on molecular markers or the knowledge of the genes involved in a particular trait. The in vitro culture techniques can be used to multiply plants selected after molecular and antifungal studies. The course of the investigation and the current state in relation to micropropagation, molecular studies, and antifungal action of the Thymus genus plants will be presented.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Fernanda Leal, Meriem Taghouti, Fernando Nunes, Amélia Silva,\nAna Cláudia Coelho and Manuela Matos",authors:[{id:"66270",title:"Prof.",name:"Fernanda",middleName:null,surname:"Leal",slug:"fernanda-leal",fullName:"Fernanda Leal"}]},{id:"53418",doi:"10.5772/66506",title:"Fenugreek (Trigonella foenum-graecum L.): An Important Medicinal and Aromatic Crop",slug:"fenugreek-trigonella-foenum-graecum-l-an-important-medicinal-and-aromatic-crop",totalDownloads:3603,totalCrossrefCites:4,totalDimensionsCites:11,abstract:"Fenugreek (Trigonella foenum-graecum L.) is an annual forage legume and a traditional spice and aromatic crop that has been grown for centuries across the Indian subcontinent. In addition to South Asia, the crop is also grown in some parts of North Africa, Middle East, Mediterranean Europe, China, South East (SE) Asia, Australia, the USA, Argentina and Canada. The plant has been used traditionally in Indian Ayurvedic medicines as well as in traditional Tibetan and Chinese medication for several centuries. Modern research has also demonstrated that fenugreek seed and leaves are useful in the treatment of a number of diseases including successfully reducing blood sugar and blood cholesterol levels in both animals and humans. The plant has recently attracted great interest in the pharmaceutical, nutraceutical and functional food industries due to its rich medicinal properties.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Peiman Zandi, Saikat Kumar Basu, William Cetzal-Ix, Mojtaba\nKordrostami, Shahram Khademi Chalaras and Leila Bazrkar Khatibai",authors:[{id:"193070",title:"Dr.",name:"Peiman",middleName:null,surname:"Zandi",slug:"peiman-zandi",fullName:"Peiman Zandi"},{id:"196977",title:"Dr.",name:"Saikat",middleName:null,surname:"Kumar Basu",slug:"saikat-kumar-basu",fullName:"Saikat Kumar Basu"},{id:"196978",title:"Dr.",name:"William",middleName:null,surname:"Cetzal-Ix",slug:"william-cetzal-ix",fullName:"William Cetzal-Ix"},{id:"196979",title:"Dr.",name:"Mojtaba",middleName:null,surname:"Kordrostami",slug:"mojtaba-kordrostami",fullName:"Mojtaba Kordrostami"},{id:"196980",title:"MSc.",name:"Shahram",middleName:null,surname:"Khademi Chalaras",slug:"shahram-khademi-chalaras",fullName:"Shahram Khademi Chalaras"},{id:"196981",title:"Dr.",name:"Leila",middleName:null,surname:"Bazrkar Khatibai",slug:"leila-bazrkar-khatibai",fullName:"Leila Bazrkar Khatibai"}]},{id:"52636",doi:"10.5772/65725",title:"Olea europaea subsp. africana (Oleaceae)",slug:"olea-europaea-subsp-africana-oleaceae-",totalDownloads:2529,totalCrossrefCites:7,totalDimensionsCites:10,abstract:"Background: Medicinal plants have been used as a key source for medication and they remain to provide new therapeutic remedies to date. Extracts of Olea europaea subsp. africana Oleaceae (leaf, bark and root) are used extensively in Africa to treat various diseases traditionally. Phytochemistry has identified phenols, terpenoids and coumarins in different parts of the plant. However, little pharmacological studies have been done on Olea europaea subsp. africana. The present review aims to compile available information on the ethnobotany, phytochemistry, pharmacology and toxicology of Olea africana.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Nontokozo Z. Msomi and Mthokozisi. B. C Simelane",authors:[{id:"193091",title:"Dr.",name:"Mthokozisi",middleName:null,surname:"Simelane",slug:"mthokozisi-simelane",fullName:"Mthokozisi Simelane"},{id:"195504",title:"Ms.",name:"Nontokozo",middleName:null,surname:"Msomi",slug:"nontokozo-msomi",fullName:"Nontokozo Msomi"}]},{id:"53145",doi:"10.5772/66220",title:"Investigation of Campomanesia Components: A Fruit of Brazilian Cerrado",slug:"investigation-of-campomanesia-components-a-fruit-of-brazilian-cerrado",totalDownloads:1970,totalCrossrefCites:1,totalDimensionsCites:4,abstract:"A survey of chemical composition of the fruit of Campomanesia adamantium used by rural and urban inhabitants of the cities of the Campo Grande, Mato Grosso do Sul State, Brazil, was carried out by inductively coupled plasma-optical emission spectroscopy (ICP-OES) aiming at the detection of minerals. Fifteen minerals were detected in the peel, pulp, and seeds of plant. The concentrations of elements K, Ca, Na, and P are found to be present at the major level in peel, pulp, and seeds of fruit. The zinc concentration is very low compared to other detected elements. The levels of some chemical elements in the fruit do not exceed the limits established by international legislation. Animal studies should be performed. The knowledge of the chemical elements in plants has economic interest, and involves global health problem.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Nayara Vieira de Lima, Daniela Granja Arakaki, Paula F. Saldanha\nTschinkel, Anderson Fernandes da Silva, Rita de Cássia Avellaneda\nGuimarães, Priscila Aiko Hiane and Valter Aragão do Nascimento",authors:[{id:"193805",title:"Dr.",name:"Rita De Cássia",middleName:null,surname:"Avellaneda Guimarães",slug:"rita-de-cassia-avellaneda-guimaraes",fullName:"Rita De Cássia Avellaneda Guimarães"},{id:"195948",title:"MSc.",name:"Nayara",middleName:null,surname:"Vieira De Lima",slug:"nayara-vieira-de-lima",fullName:"Nayara Vieira De Lima"},{id:"195949",title:"MSc.",name:"Daniela",middleName:null,surname:"Granja Arakaki",slug:"daniela-granja-arakaki",fullName:"Daniela Granja Arakaki"},{id:"195950",title:"MSc.",name:"Paula Fabiana",middleName:null,surname:"Saldanha Tschinkel",slug:"paula-fabiana-saldanha-tschinkel",fullName:"Paula Fabiana Saldanha Tschinkel"},{id:"195951",title:"MSc.",name:"Anderson",middleName:null,surname:"Fernandes Da Silva",slug:"anderson-fernandes-da-silva",fullName:"Anderson Fernandes Da Silva"},{id:"195952",title:"Dr.",name:"Priscila Aiko",middleName:null,surname:"Hiane",slug:"priscila-aiko-hiane",fullName:"Priscila Aiko Hiane"},{id:"195953",title:"Dr.",name:"Valter",middleName:null,surname:"Aragão Do Nascimento",slug:"valter-aragao-do-nascimento",fullName:"Valter Aragão Do Nascimento"}]}],mostDownloadedChaptersLast30Days:[{id:"53418",title:"Fenugreek (Trigonella foenum-graecum L.): An Important Medicinal and Aromatic Crop",slug:"fenugreek-trigonella-foenum-graecum-l-an-important-medicinal-and-aromatic-crop",totalDownloads:3596,totalCrossrefCites:3,totalDimensionsCites:11,abstract:"Fenugreek (Trigonella foenum-graecum L.) is an annual forage legume and a traditional spice and aromatic crop that has been grown for centuries across the Indian subcontinent. In addition to South Asia, the crop is also grown in some parts of North Africa, Middle East, Mediterranean Europe, China, South East (SE) Asia, Australia, the USA, Argentina and Canada. The plant has been used traditionally in Indian Ayurvedic medicines as well as in traditional Tibetan and Chinese medication for several centuries. Modern research has also demonstrated that fenugreek seed and leaves are useful in the treatment of a number of diseases including successfully reducing blood sugar and blood cholesterol levels in both animals and humans. The plant has recently attracted great interest in the pharmaceutical, nutraceutical and functional food industries due to its rich medicinal properties.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Peiman Zandi, Saikat Kumar Basu, William Cetzal-Ix, Mojtaba\nKordrostami, Shahram Khademi Chalaras and Leila Bazrkar Khatibai",authors:[{id:"193070",title:"Dr.",name:"Peiman",middleName:null,surname:"Zandi",slug:"peiman-zandi",fullName:"Peiman Zandi"},{id:"196977",title:"Dr.",name:"Saikat",middleName:null,surname:"Kumar Basu",slug:"saikat-kumar-basu",fullName:"Saikat Kumar Basu"},{id:"196978",title:"Dr.",name:"William",middleName:null,surname:"Cetzal-Ix",slug:"william-cetzal-ix",fullName:"William Cetzal-Ix"},{id:"196979",title:"Dr.",name:"Mojtaba",middleName:null,surname:"Kordrostami",slug:"mojtaba-kordrostami",fullName:"Mojtaba Kordrostami"},{id:"196980",title:"MSc.",name:"Shahram",middleName:null,surname:"Khademi Chalaras",slug:"shahram-khademi-chalaras",fullName:"Shahram Khademi Chalaras"},{id:"196981",title:"Dr.",name:"Leila",middleName:null,surname:"Bazrkar Khatibai",slug:"leila-bazrkar-khatibai",fullName:"Leila Bazrkar Khatibai"}]},{id:"53045",title:"Chemical Structure, Quality Indices and Bioactivity of Essential Oil Constituents",slug:"chemical-structure-quality-indices-and-bioactivity-of-essential-oil-constituents",totalDownloads:4421,totalCrossrefCites:14,totalDimensionsCites:28,abstract:"Essential oil (EO) is a mixture of low molecular weight constituents that are responsible for its characteristic aroma. These constituents include terpenoid and non‐terpenoid hydrocarbons and their oxygenated derivatives. This chapter focuses on the heterogeneous composition of the essential oils. It discusses the usage of essential oil constituents as a key marker of the oil quality, freshness and unique characteristics. It describes the biological activity and synergistic effect of the essential oil constituents as antioxidant, antibacterial, antifungal and anticancer agents.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Nashwa Fathy Sayed Morsy",authors:[{id:"193168",title:"Prof.",name:"Nashwa",middleName:null,surname:"Fathy Sayed Morsy",slug:"nashwa-fathy-sayed-morsy",fullName:"Nashwa Fathy Sayed Morsy"}]},{id:"53291",title:"Aromatherapeutic Textiles",slug:"aromatherapeutic-textiles",totalDownloads:2937,totalCrossrefCites:0,totalDimensionsCites:3,abstract:"Only innovative products will be sustainable to open up new markets and new horizons for textile industry. As a response to consumer demand, in recent years textile manufacturers are demonstrating increasing interest in added value products by getting the insect repellents, cosmetics, antimicrobials, phase-change materials, fire retardants, counterfeiting, polychromic and thermochromic effects. Aromatherapy application in textile industry led to a series of value-added products that give besides comfort a number of other properties (anti-acne, antimicrobial, fragrance, anti-inflammatory sedation, or soothing properties). In recent years, aromatherapeutic textiles were applied in many fields such as food, cosmetics, medicine, tobacco, textiles, leather, papermaking and pharmaceutical industries. The purpose of this chapter was to present the essential oils used in textile finishing, textile supports used for aroma finishing, embedding methods and the controlled release of essential oils.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Angela Cerempei",authors:[{id:"193622",title:"Ph.D.",name:"Angela",middleName:null,surname:"Cerempei",slug:"angela-cerempei",fullName:"Angela Cerempei"}]},{id:"53463",title:"Thymus Plants: A Review—Micropropagation, Molecular and Antifungal Activity",slug:"thymus-plants-a-review-micropropagation-molecular-and-antifungal-activity",totalDownloads:2483,totalCrossrefCites:10,totalDimensionsCites:18,abstract:"Medicinal and aromatic plants are important sources for plant secondary metabolites. The genetic manipulation of plants associated with in vitro plant regeneration systems facilitates efforts to engineer secondary product metabolic pathways. The fungal infections have been increasing in recent years due to several factors, namely, the increased incidence of high-risk patients, particularly immunocompromised hosts. Aromatic plants have been empirically used as antimicrobial agents, but the mechanisms of action are still unknown. Thyme has a great interest due to the possibility of its use in different applications, in medicine, in the cosmetic industry, or as food additives. Several studies have shown that thyme oils possess antimicrobial activity. Increasingly, plant breeding has taken advantage of molecular biology developments in order to genotype the species of interest to accelerate their selection. These approaches consist in choosing desired genotypes based on molecular markers or the knowledge of the genes involved in a particular trait. The in vitro culture techniques can be used to multiply plants selected after molecular and antifungal studies. The course of the investigation and the current state in relation to micropropagation, molecular studies, and antifungal action of the Thymus genus plants will be presented.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Fernanda Leal, Meriem Taghouti, Fernando Nunes, Amélia Silva,\nAna Cláudia Coelho and Manuela Matos",authors:[{id:"66270",title:"Prof.",name:"Fernanda",middleName:null,surname:"Leal",slug:"fernanda-leal",fullName:"Fernanda Leal"}]},{id:"53277",title:"Medicinal Plants of the Indigenous Tribes in Peninsular Malaysia: Current and Future Perspectives",slug:"medicinal-plants-of-the-indigenous-tribes-in-peninsular-malaysia-current-and-future-perspectives",totalDownloads:2589,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"The main aim of this paper is to compile information on plant that is known to be medicinal to the indigenous tribes in Peninsular Malaysia. Information is compiled from various sources. Current trends on studies of medicinal plants of the indigenous tribes and threats to the sustainability of the plants are also discussed. Focus of future studies on medicinal plants utilized by the indigenous tribes will also be discussed.",book:{id:"6026",slug:"active-ingredients-from-aromatic-and-medicinal-plants",title:"Active Ingredients from Aromatic and Medicinal Plants",fullTitle:"Active Ingredients from Aromatic and Medicinal Plants"},signatures:"Pozi Milow, Sorayya Malek and Raznan Mohd. Ramli",authors:[{id:"25628",title:"Dr.",name:"sorayya",middleName:null,surname:"malek",slug:"sorayya-malek",fullName:"sorayya malek"},{id:"193814",title:"Dr.",name:"Pozi",middleName:null,surname:"Milow",slug:"pozi-milow",fullName:"Pozi Milow"},{id:"195926",title:"Mr.",name:"Mohd Raznan",middleName:null,surname:"Ramli",slug:"mohd-raznan-ramli",fullName:"Mohd Raznan Ramli"}]}],onlineFirstChaptersFilter:{topicId:"339",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:133,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. 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Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). 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He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. His research interests include intelligent and embedded systems.",institutionString:"Universidad Autonoma de Queretaro",institution:{name:"Autonomous University of Queretaro",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"27",title:"Multi-Agent Systems",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",isOpenForSubmission:!0,editor:{id:"148497",title:"Dr.",name:"Mehmet",middleName:"Emin",surname:"Aydin",slug:"mehmet-aydin",fullName:"Mehmet Aydin",profilePictureURL:"https://mts.intechopen.com/storage/users/148497/images/system/148497.jpg",biography:"Dr. Mehmet Emin Aydin is a Senior Lecturer with the Department of Computer Science and Creative Technology, the University of the West of England, Bristol, UK. His research interests include swarm intelligence, parallel and distributed metaheuristics, machine learning, intelligent agents and multi-agent systems, resource planning, scheduling and optimization, combinatorial optimization. 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He is also a faculty member in the Molecular Oncology Program. He obtained his MSc and Ph.D. at Oregon State University and Texas Tech University, respectively. He pursued his postdoctoral studies at Rutgers University Medical School and the National Institutes of Health (NIH/NIDDK), USA. His research focuses on biochemistry, biophysics, genetics, molecular biology, and molecular medicine with specialization in the fields of drug design, protein structure-function, protein folding, prions, microRNA, pseudogenes, molecular cancer, epigenetics, metabolites, proteomics, genomics, protein expression, and characterization by spectroscopic and calorimetric methods.",institutionString:"University of Health Sciences",institution:null},{id:"180528",title:"Dr.",name:"Hiroyuki",middleName:null,surname:"Kagechika",slug:"hiroyuki-kagechika",fullName:"Hiroyuki Kagechika",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/180528/images/system/180528.jpg",biography:"Hiroyuki Kagechika received his bachelor’s degree and Ph.D. in Pharmaceutical Sciences from the University of Tokyo, Japan, where he served as an associate professor until 2004. He is currently a professor at the Institute of Biomaterials and Bioengineering (IBB), Tokyo Medical and Dental University (TMDU). From 2010 to 2012, he was the dean of the Graduate School of Biomedical Science. Since 2012, he has served as the vice dean of the Graduate School of Medical and Dental Sciences. He has been the director of the IBB since 2020. Dr. Kagechika’s major research interests are the medicinal chemistry of retinoids, vitamins D/K, and nuclear receptors. He has developed various compounds including a drug for acute promyelocytic leukemia.",institutionString:"Tokyo Medical and Dental University",institution:{name:"Tokyo Medical and Dental University",country:{name:"Japan"}}},{id:"94311",title:"Prof.",name:"Martins",middleName:"Ochubiojo",surname:"Ochubiojo Emeje",slug:"martins-ochubiojo-emeje",fullName:"Martins Ochubiojo Emeje",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94311/images/system/94311.jpeg",biography:"Martins Emeje obtained a BPharm with distinction from Ahmadu Bello University, Nigeria, and an MPharm and Ph.D. from the University of Nigeria (UNN), where he received the best Ph.D. award and was enlisted as UNN’s “Face of Research.” He established the first nanomedicine center in Nigeria and was the pioneer head of the intellectual property and technology transfer as well as the technology innovation and support center. Prof. Emeje’s several international fellowships include the prestigious Raman fellowship. He has published more than 150 articles and patents. He is also the head of R&D at NIPRD and holds a visiting professor position at Nnamdi Azikiwe University, Nigeria. He has a postgraduate certificate in Project Management from Walden University, Minnesota, as well as a professional teaching certificate and a World Bank certification in Public Procurement. Prof. Emeje was a national chairman of academic pharmacists in Nigeria and the 2021 winner of the May & Baker Nigeria Plc–sponsored prize for professional service in research and innovation.",institutionString:"National Institute for Pharmaceutical Research and Development",institution:{name:"National Institute for Pharmaceutical Research and Development",country:{name:"Nigeria"}}},{id:"268659",title:"Ms.",name:"Xianquan",middleName:null,surname:"Zhan",slug:"xianquan-zhan",fullName:"Xianquan Zhan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/268659/images/8143_n.jpg",biography:"Dr. Zhan received his undergraduate and graduate training in the fields of preventive medicine and epidemiology and statistics at the West China University of Medical Sciences in China during 1989 to 1999. He received his post-doctoral training in oncology and cancer proteomics for two years at the Cancer Research Institute of Human Medical University in China. In 2001, he went to the University of Tennessee Health Science Center (UTHSC) in USA, where he was a post-doctoral researcher and focused on mass spectrometry and cancer proteomics. Then, he was appointed as an Assistant Professor of Neurology, UTHSC in 2005. He moved to the Cleveland Clinic in USA as a Project Scientist/Staff in 2006 where he focused on the studies of eye disease proteomics and biomarkers. He returned to UTHSC as an Assistant Professor of Neurology in the end of 2007, engaging in proteomics and biomarker studies of lung diseases and brain tumors, and initiating the studies of predictive, preventive, and personalized medicine (PPPM) in cancer. In 2010, he was promoted to Associate Professor of Neurology, UTHSC. Currently, he is a Professor at Xiangya Hospital of Central South University in China, Fellow of Royal Society of Medicine (FRSM), the European EPMA National Representative in China, Regular Member of American Association for the Advancement of Science (AAAS), European Cooperation of Science and Technology (e-COST) grant evaluator, Associate Editors of BMC Genomics, BMC Medical Genomics, EPMA Journal, and Frontiers in Endocrinology, Executive Editor-in-Chief of Med One. He has\npublished 116 peer-reviewed research articles, 16 book chapters, 2 books, and 2 US patents. His current main research interest focuses on the studies of cancer proteomics and biomarkers, and the use of modern omics techniques and systems biology for PPPM in cancer, and on the development and use of 2DE-LC/MS for the large-scale study of human proteoforms.",institutionString:null,institution:{name:"Xiangya Hospital Central South University",country:{name:"China"}}},{id:"40482",title:null,name:"Rizwan",middleName:null,surname:"Ahmad",slug:"rizwan-ahmad",fullName:"Rizwan Ahmad",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/40482/images/system/40482.jpeg",biography:"Dr. Rizwan Ahmad is a University Professor and Coordinator, Quality and Development, College of Medicine, Imam Abdulrahman bin Faisal University, Saudi Arabia. Previously, he was Associate Professor of Human Function, Oman Medical College, Oman, and SBS University, Dehradun. Dr. Ahmad completed his education at Aligarh Muslim University, Aligarh. He has published several articles in peer-reviewed journals, chapters, and edited books. His area of specialization is free radical biochemistry and autoimmune diseases.",institutionString:"Imam Abdulrahman Bin Faisal University",institution:{name:"Imam Abdulrahman Bin Faisal University",country:{name:"Saudi Arabia"}}},{id:"41865",title:"Prof.",name:"Farid A.",middleName:null,surname:"Badria",slug:"farid-a.-badria",fullName:"Farid A. Badria",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41865/images/system/41865.jpg",biography:"Farid A. Badria, Ph.D., is the recipient of several awards, including The World Academy of Sciences (TWAS) Prize for Public Understanding of Science; the World Intellectual Property Organization (WIPO) Gold Medal for best invention; Outstanding Arab Scholar, Kuwait; and the Khwarizmi International Award, Iran. He has 250 publications, 12 books, 20 patents, and several marketed pharmaceutical products to his credit. He continues to lead research projects on developing new therapies for liver, skin disorders, and cancer. Dr. Badria was listed among the world’s top 2% of scientists in medicinal and biomolecular chemistry in 2019 and 2020. He is a member of the Arab Development Fund, Kuwait; International Cell Research Organization–United Nations Educational, Scientific and Cultural Organization (ICRO–UNESCO), Chile; and UNESCO Biotechnology France",institutionString:"Mansoura University",institution:{name:"Mansoura University",country:{name:"Egypt"}}},{id:"329385",title:"Dr.",name:"Rajesh K.",middleName:"Kumar",surname:"Singh",slug:"rajesh-k.-singh",fullName:"Rajesh K. Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329385/images/system/329385.png",biography:"Dr. Singh received a BPharm (2003) and MPharm (2005) from Panjab University, Chandigarh, India, and a Ph.D. (2013) from Punjab Technical University (PTU), Jalandhar, India. He has more than sixteen years of teaching experience and has supervised numerous postgraduate and Ph.D. students. He has to his credit more than seventy papers in SCI- and SCOPUS-indexed journals, fifty-five conference proceedings, four books, six Best Paper Awards, and five projects from different government agencies. He is currently an editorial board member of eight international journals and a reviewer for more than fifty scientific journals. He received Top Reviewer and Excellent Peer Reviewer Awards from Publons in 2016 and 2017, respectively. He is also on the panel of The International Reviewer for reviewing research proposals for grants from the Royal Society. He also serves as a Publons Academy mentor and Bentham brand ambassador.",institutionString:"Punjab Technical University",institution:{name:"Punjab Technical University",country:{name:"India"}}},{id:"142388",title:"Dr.",name:"Thiago",middleName:"Gomes",surname:"Gomes Heck",slug:"thiago-gomes-heck",fullName:"Thiago Gomes Heck",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/142388/images/7259_n.jpg",biography:null,institutionString:null,institution:{name:"Universidade Regional do Noroeste do Estado do Rio Grande do Sul",country:{name:"Brazil"}}},{id:"336273",title:"Assistant Prof.",name:"Janja",middleName:null,surname:"Zupan",slug:"janja-zupan",fullName:"Janja Zupan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/336273/images/14853_n.jpeg",biography:"Janja Zupan graduated in 2005 at the Department of Clinical Biochemistry (superviser prof. dr. Janja Marc) in the field of genetics of osteoporosis. Since November 2009 she is working as a Teaching Assistant at the Faculty of Pharmacy, Department of Clinical Biochemistry. In 2011 she completed part of her research and PhD work at Institute of Genetics and Molecular Medicine, University of Edinburgh. She finished her PhD entitled The influence of the proinflammatory cytokines on the RANK/RANKL/OPG in bone tissue of osteoporotic and osteoarthritic patients in 2012. From 2014-2016 she worked at the Institute of Biomedical Sciences, University of Aberdeen as a postdoctoral research fellow on UK Arthritis research project where she gained knowledge in mesenchymal stem cells and regenerative medicine. She returned back to University of Ljubljana, Faculty of Pharmacy in 2016. She is currently leading project entitled Mesenchymal stem cells-the keepers of tissue endogenous regenerative capacity facing up to aging of the musculoskeletal system funded by Slovenian Research Agency.",institutionString:null,institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"357453",title:"Dr.",name:"Radheshyam",middleName:null,surname:"Maurya",slug:"radheshyam-maurya",fullName:"Radheshyam Maurya",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/357453/images/16535_n.jpg",biography:null,institutionString:null,institution:{name:"University of Hyderabad",country:{name:"India"}}},{id:"418340",title:"Dr.",name:"Jyotirmoi",middleName:null,surname:"Aich",slug:"jyotirmoi-aich",fullName:"Jyotirmoi Aich",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000038Ugi5QAC/Profile_Picture_2022-04-15T07:48:28.png",biography:"Biotechnologist with 15 years of research including 6 years of teaching experience. Demonstrated record of scientific achievements through consistent publication record (H index = 13, with 874 citations) in high impact journals such as Nature Communications, Oncotarget, Annals of Oncology, PNAS, and AJRCCM, etc. Strong research professional with a post-doctorate from ACTREC where I gained experimental oncology experience in clinical settings and a doctorate from IGIB where I gained expertise in asthma pathophysiology. A well-trained biotechnologist with diverse experience on the bench across different research themes ranging from asthma to cancer and other infectious diseases. An individual with a strong commitment and innovative mindset. Have the ability to work on diverse projects such as regenerative and molecular medicine with an overall mindset of improving healthcare.",institutionString:"DY Patil Deemed to Be University",institution:null},{id:"349288",title:"Prof.",name:"Soumya",middleName:null,surname:"Basu",slug:"soumya-basu",fullName:"Soumya Basu",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035QxIDQA0/Profile_Picture_2022-04-15T07:47:01.jpg",biography:"Soumya Basu, Ph.D., is currently working as an Associate Professor at Dr. D. Y. Patil Biotechnology and Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Pune, Maharashtra, India. With 16+ years of trans-disciplinary research experience in Drug Design, development, and pre-clinical validation; 20+ research article publications in journals of repute, 9+ years of teaching experience, trained with cross-disciplinary education, Dr. Basu is a life-long learner and always thrives for new challenges.\r\nHer research area is the design and synthesis of small molecule partial agonists of PPAR-γ in lung cancer. She is also using artificial intelligence and deep learning methods to understand the exosomal miRNA’s role in cancer metastasis. Dr. Basu is the recipient of many awards including the Early Career Research Award from the Department of Science and Technology, Govt. of India. She is a reviewer of many journals like Molecular Biology Reports, Frontiers in Oncology, RSC Advances, PLOS ONE, Journal of Biomolecular Structure & Dynamics, Journal of Molecular Graphics and Modelling, etc. She has edited and authored/co-authored 21 journal papers, 3 book chapters, and 15 abstracts. She is a Board of Studies member at her university. She is a life member of 'The Cytometry Society”-in India and 'All India Cell Biology Society”- in India.",institutionString:"Dr. D.Y. Patil Vidyapeeth, Pune",institution:{name:"Dr. D.Y. Patil Vidyapeeth, Pune",country:{name:"India"}}},{id:"354817",title:"Dr.",name:"Anubhab",middleName:null,surname:"Mukherjee",slug:"anubhab-mukherjee",fullName:"Anubhab Mukherjee",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y0000365PbRQAU/ProfilePicture%202022-04-15%2005%3A11%3A18.480",biography:"A former member of Laboratory of Nanomedicine, Brigham and Women’s Hospital, Harvard University, Boston, USA, Dr. Anubhab Mukherjee is an ardent votary of science who strives to make an impact in the lives of those afflicted with cancer and other chronic/acute ailments. He completed his Ph.D. from CSIR-Indian Institute of Chemical Technology, Hyderabad, India, having been skilled with RNAi, liposomal drug delivery, preclinical cell and animal studies. He pursued post-doctoral research at College of Pharmacy, Health Science Center, Texas A & M University and was involved in another postdoctoral research at Department of Translational Neurosciences and Neurotherapeutics, John Wayne Cancer Institute, Santa Monica, California. In 2015, he worked in Harvard-MIT Health Sciences & Technology as a visiting scientist. He has substantial experience in nanotechnology-based formulation development and successfully served various Indian organizations to develop pharmaceuticals and nutraceutical products. He is an inventor in many US patents and an author in many peer-reviewed articles, book chapters and books published in various media of international repute. Dr. Mukherjee is currently serving as Principal Scientist, R&D at Esperer Onco Nutrition (EON) Pvt. Ltd. and heads the Hyderabad R&D center of the organization.",institutionString:"Esperer Onco Nutrition Pvt Ltd.",institution:null},{id:"319365",title:"Assistant Prof.",name:"Manash K.",middleName:null,surname:"Paul",slug:"manash-k.-paul",fullName:"Manash K. Paul",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/319365/images/system/319365.png",biography:"Manash K. Paul is a Principal Investigator and Scientist at the University of California Los Angeles. He has contributed significantly to the fields of stem cell biology, regenerative medicine, and lung cancer. His research focuses on various signaling processes involved in maintaining stem cell homeostasis during the injury-repair process, deciphering lung stem cell niche, pulmonary disease modeling, immuno-oncology, and drug discovery. He is currently investigating the role of extracellular vesicles in premalignant lung cell migration and detecting the metastatic phenotype of lung cancer via machine-learning-based analyses of exosomal signatures. Dr. Paul has published in more than fifty peer-reviewed international journals and is highly cited. He is the recipient of many awards, including the UCLA Vice Chancellor’s award, a senior member of the Institute of Electrical and Electronics Engineers (IEEE), and an editorial board member for several international journals.",institutionString:"University of California Los Angeles",institution:{name:"University of California Los Angeles",country:{name:"United States of America"}}},{id:"311457",title:"Dr.",name:"Júlia",middleName:null,surname:"Scherer Santos",slug:"julia-scherer-santos",fullName:"Júlia Scherer Santos",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311457/images/system/311457.jpg",biography:"Dr. Júlia Scherer Santos works in the areas of cosmetology, nanotechnology, pharmaceutical technology, beauty, and aesthetics. Dr. Santos also has experience as a professor of graduate courses. Graduated in Pharmacy, specialization in Cosmetology and Cosmeceuticals applied to aesthetics, specialization in Aesthetic and Cosmetic Health, and a doctorate in Pharmaceutical Nanotechnology. Teaching experience in Pharmacy and Aesthetics and Cosmetics courses. She works mainly on the following subjects: nanotechnology, cosmetology, pharmaceutical technology, aesthetics.",institutionString:"Universidade Federal de Juiz de Fora",institution:{name:"Universidade Federal de Juiz de Fora",country:{name:"Brazil"}}},{id:"219081",title:"Dr.",name:"Abdulsamed",middleName:null,surname:"Kükürt",slug:"abdulsamed-kukurt",fullName:"Abdulsamed Kükürt",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/219081/images/system/219081.png",biography:"Dr. Kükürt graduated from Uludağ University in Turkey. He started his academic career as a Research Assistant in the Department of Biochemistry at Kafkas University. In 2019, he completed his Ph.D. program in the Department of Biochemistry at the Institute of Health Sciences. He is currently working at the Department of Biochemistry, Kafkas University. He has 27 published research articles in academic journals, 11 book chapters, and 37 papers. He took part in 10 academic projects. He served as a reviewer for many articles. He still serves as a member of the review board in many academic journals. He is currently working on the protective activity of phenolic compounds in disorders associated with oxidative stress and inflammation.",institutionString:null,institution:{name:"Kafkas University",country:{name:"Turkey"}}},{id:"178366",title:"Dr.",name:"Volkan",middleName:null,surname:"Gelen",slug:"volkan-gelen",fullName:"Volkan Gelen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178366/images/system/178366.jpg",biography:"Volkan Gelen is a Physiology specialist who received his veterinary degree from Kafkas University in 2011. Between 2011-2015, he worked as an assistant at Atatürk University, Faculty of Veterinary Medicine, Department of Physiology. In 2016, he joined Kafkas University, Faculty of Veterinary Medicine, Department of Physiology as an assistant professor. Dr. Gelen has been engaged in various academic activities at Kafkas University since 2016. There he completed 5 projects and has 3 ongoing projects. He has 60 articles published in scientific journals and 20 poster presentations in scientific congresses. His research interests include physiology, endocrine system, cancer, diabetes, cardiovascular system diseases, and isolated organ bath system studies.",institutionString:"Kafkas University",institution:{name:"Kafkas University",country:{name:"Turkey"}}},{id:"418963",title:"Dr.",name:"Augustine Ododo",middleName:"Augustine",surname:"Osagie",slug:"augustine-ododo-osagie",fullName:"Augustine Ododo Osagie",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/418963/images/16900_n.jpg",biography:"Born into the family of Osagie, a prince of the Benin Kingdom. I am currently an academic in the Department of Medical Biochemistry, University of Benin. 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He has many years of experience in research and teaching in various fields of medicine, is an author/co-author of more than 200 scientific publications, 13 patents, 15 medical books/chapters, including Chapter in Book «Metabolomics», IntechOpen, 2020 «Metabolomic Discovery of Microbiota Dysfunction as the Cause of Pathology».",institutionString:"Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology",institution:null},{id:"199461",title:"Prof.",name:"Natalia V.",middleName:null,surname:"Beloborodova",slug:"natalia-v.-beloborodova",fullName:"Natalia V. Beloborodova",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/199461/images/system/199461.jpg",biography:'Natalia Vladimirovna Beloborodova was educated at the Pirogov Russian National Research Medical University, with a degree in pediatrics in 1980, a Ph.D. in 1987, and a specialization in Clinical Microbiology from First Moscow State Medical University in 2004. She has been a Professor since 1996. Currently, she is the Head of the Laboratory of Metabolism, a division of the Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russian Federation. N.V. Beloborodova has many years of clinical experience in the field of intensive care and surgery. She studies infectious complications and sepsis. She initiated a series of interdisciplinary clinical and experimental studies based on the concept of integrating human metabolism and its microbiota. Her scientific achievements are widely known: she is the recipient of the Marie E. Coates Award \\"Best lecturer-scientist\\" Gustafsson Fund, Karolinska Institutes, Stockholm, Sweden, and the International Sepsis Forum Award, Pasteur Institute, Paris, France (2014), etc. Professor N.V. Beloborodova wrote 210 papers, five books, 10 chapters and has edited four books.',institutionString:"Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology",institution:null},{id:"354260",title:"Ph.D.",name:"Tércio Elyan",middleName:"Azevedo",surname:"Azevedo Martins",slug:"tercio-elyan-azevedo-martins",fullName:"Tércio Elyan Azevedo Martins",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/354260/images/16241_n.jpg",biography:"Graduated in Pharmacy from the Federal University of Ceará with the modality in Industrial Pharmacy, Specialist in Production and Control of Medicines from the University of São Paulo (USP), Master in Pharmaceuticals and Medicines from the University of São Paulo (USP) and Doctor of Science in the program of Pharmaceuticals and Medicines by the University of São Paulo. Professor at Universidade Paulista (UNIP) in the areas of chemistry, cosmetology and trichology. Assistant Coordinator of the Higher Course in Aesthetic and Cosmetic Technology at Universidade Paulista Campus Chácara Santo Antônio. Experience in the Pharmacy area, with emphasis on Pharmacotechnics, Pharmaceutical Technology, Research and Development of Cosmetics, acting mainly on topics such as cosmetology, antioxidant activity, aesthetics, photoprotection, cyclodextrin and thermal analysis.",institutionString:null,institution:{name:"University of Sao Paulo",country:{name:"Brazil"}}},{id:"334285",title:"Ph.D. Student",name:"Sameer",middleName:"Kumar",surname:"Jagirdar",slug:"sameer-jagirdar",fullName:"Sameer Jagirdar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334285/images/14691_n.jpg",biography:"I\\'m a graduate student at the center for biosystems science and engineering at the Indian Institute of Science, Bangalore, India. 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He has experience teaching DPharm, Pharm.D, BPharm, and MPharm students. He has more than five publications in reputed journals to his credit. Dr. Faheem’s research area is the development and characterization of nanoformulation for the delivery of drugs to various organs.",institutionString:"Integral University",institution:{name:"Integral University",country:{name:"India"}}},{id:"329795",title:"Dr.",name:"Mohd Aftab",middleName:"Aftab",surname:"Siddiqui",slug:"mohd-aftab-siddiqui",fullName:"Mohd Aftab Siddiqui",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/329795/images/system/329795.png",biography:"Dr. Mohd Aftab Siddiqui is an assistant professor in the Faculty of Pharmacy, Integral University, Lucknow, India, where he obtained a Ph.D. in Pharmacology in 2020. He also obtained a BPharm and MPharm from the same university in 2013 and 2015, respectively. His area of research is the pharmacological screening of herbal drugs/natural products in liver cancer and cardiac diseases. He is a member of many professional bodies and has guided many MPharm and PharmD research projects. Dr. Siddiqui has many national and international publications and one German patent to his credit.",institutionString:"Integral University",institution:null},{id:"255360",title:"Dr.",name:"Usama",middleName:null,surname:"Ahmad",slug:"usama-ahmad",fullName:"Usama Ahmad",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255360/images/system/255360.png",biography:"Dr. Usama Ahmad holds a specialization in Pharmaceutics from Amity University, Lucknow, India. He received his Ph.D. from Integral University, Lucknow, India, with his work titled ‘Development and evaluation of silymarin nanoformulation for hepatic carcinoma’. Currently, he is an Assistant Professor of Pharmaceutics, at the Faculty of Pharmacy, Integral University. He has been teaching PharmD, BPharm, and MPharm students and conducting research in the novel drug delivery domain. From 2013 to 2014 he worked on a research project funded by SERB-DST, Government of India. He has a rich publication record with more than twenty-four original journal articles, two edited books, four book chapters, and several scientific articles to his credit. He is a member of the American Association for Cancer Research, the International Association for the Study of Lung Cancer, and the British Society for Nanomedicine. Dr. Ahmad’s research focus is on the development of nanoformulations to facilitate the delivery of drugs.",institutionString:"Integral University",institution:{name:"Integral University",country:{name:"India"}}},{id:"333824",title:"Dr.",name:"Ahmad Farouk",middleName:null,surname:"Musa",slug:"ahmad-farouk-musa",fullName:"Ahmad Farouk Musa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333824/images/22684_n.jpg",biography:"Dato’ Dr Ahmad Farouk Musa\nMD, MMED (Surgery) (Mal), Fellowship in Cardiothoracic Surgery (Monash Health, Aust), Graduate Certificate in Higher Education (Aust), Academy of Medicine (Mal)\n\n\n\nDato’ Dr Ahmad Farouk Musa obtained his Doctor of Medicine from USM in 1992. He then obtained his Master of Medicine in Surgery from the same university in the year 2000 before subspecialising in Cardiothoracic Surgery at Institut Jantung Negara (IJN), Kuala Lumpur from 2002 until 2005. He then completed his Fellowship in Cardiothoracic Surgery at Monash Health, Melbourne, Australia in 2008. He has served in the Malaysian army as a Medical Officer with the rank of Captain upon completing his Internship before joining USM as a trainee lecturer. He is now serving as an academic and researcher at Monash University Malaysia. He is a life-member of the Malaysian Association of Thoracic & Cardiovascular Surgery (MATCVS) and a committee member of the MATCVS Database. He is also a life-member of the College of Surgeons, Academy of Medicine of Malaysia; a life-member of Malaysian Medical Association (MMA), and a life-member of Islamic Medical Association of Malaysia (IMAM). Recently he was appointed as an Interim Chairperson of Examination & Assessment Subcommittee of the UiTM-IJN Cardiothoracic Surgery Postgraduate Program. As an academic, he has published numerous research papers and book chapters. 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He was awarded the Darjah Setia Pangkuan Negeri (DSPN) by the Governor of Penang in July, 2015.",institutionString:null,institution:{name:"Monash University Malaysia",country:{name:"Malaysia"}}},{id:"30568",title:"Prof.",name:"Madhu",middleName:null,surname:"Khullar",slug:"madhu-khullar",fullName:"Madhu Khullar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/30568/images/system/30568.jpg",biography:"Dr. Madhu Khullar is a Professor of Experimental Medicine and Biotechnology at the Post Graduate Institute of Medical Education and Research, Chandigarh, India. She completed her Post Doctorate in hypertension research at the Henry Ford Hospital, Detroit, USA in 1985. She is an editor and reviewer of several international journals, and a fellow and member of several cardiovascular research societies. 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Currently, he is a full professor at Central South University and Shandong First Medical University, and an advisor to MS/PhD students and postdoctoral fellows. He is also a fellow of the Royal Society of Medicine and European Association for Predictive Preventive Personalized Medicine (EPMA), a national representative of EPMA, and a member of the American Society of Clinical Oncology (ASCO) and the American Association for the Advancement of Sciences (AAAS). He is also the editor in chief of International Journal of Chronic Diseases & Therapy, an associate editor of EPMA Journal, Frontiers in Endocrinology, and BMC Medical Genomics, and a guest editor of Mass Spectrometry Reviews, Frontiers in Endocrinology, EPMA Journal, and Oxidative Medicine and Cellular Longevity. 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Fungal infectious illness prevalence and prognosis are determined by the exposure between fungi and host, host immunological state, fungal virulence, and early and accurate diagnosis and treatment. \r\nPatients with both congenital and acquired immunodeficiency are more likely to be infected with opportunistic mycosis. Fungal infectious disease outbreaks are common during the post- disaster rebuilding era, which is characterised by high population density, migration, and poor health and medical conditions.\r\nSystemic or local fungal infection is mainly associated with the fungi directly inhaled or inoculated in the environment during the disaster. The most common fungal infection pathways are human to human (anthropophilic), animal to human (zoophilic), and environment to human (soilophile). Diseases are common as a result of widespread exposure to pathogenic fungus dispersed into the environment. \r\nFungi that are both common and emerging are intertwined. In Southeast Asia, for example, Talaromyces marneffei is an important pathogenic thermally dimorphic fungus that causes systemic mycosis. Widespread fungal infections with complicated and variable clinical manifestations, such as Candida auris infection resistant to several antifungal medicines, Covid-19 associated with Trichoderma, and terbinafine resistant dermatophytosis in India, are among the most serious disorders. \r\nInappropriate local or systemic use of glucocorticoids, as well as their immunosuppressive effects, may lead to changes in fungal infection spectrum and clinical characteristics. Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. It will provide significant opportunities and support for scientists, clinical doctors, mycologists, antifungal drug researchers, public health practitioners, and epidemiologists from all over the world to share new research, ideas and solutions to promote the development and progress of medical mycology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",keywords:"Emerging Fungal Pathogens, Invasive Infections, Epidemiology, Cell Membrane, Fungal Virulence, Diagnosis, Treatment"},{id:"5",title:"Parasitic Infectious Diseases",scope:"Parasitic diseases have evolved alongside their human hosts. In many cases, these diseases have adapted so well that they have developed efficient resilience methods in the human host and can live in the host for years. Others, particularly some blood parasites, can cause very acute diseases and are responsible for millions of deaths yearly. Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. This series will focus on various crucial factors related to emerging viral infectious diseases, including epidemiology, pathogenesis, host immune response, clinical manifestations, diagnosis, treatment, and clinical recommendations for managing viral infectious diseases, highlighting the recent issues with future directions for effective therapeutic strategies.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",keywords:"Novel Viruses, Virus Transmission, Virus Evolution, Molecular Virology, Control and Prevention, Virus-host Interaction"}],annualVolumeBook:{},thematicCollection:[{type:"book",id:"11672",title:"Chemokines Updates",subtitle:null,isOpenForSubmission:!0,hash:"c00855833476a514d37abf7c846e16e9",slug:null,bookSignature:"Prof. Murat Şentürk",coverURL:"https://cdn.intechopen.com/books/images_new/11672.jpg",editedByType:null,submissionDeadline:"May 6th 2022",editors:[{id:"14794",title:"Prof.",name:"Murat",middleName:null,surname:"Şentürk",slug:"murat-senturk",fullName:"Murat Şentürk",profilePictureURL:"https://mts.intechopen.com/storage/users/14794/images/system/14794.jpeg",biography:"Dr. Murat Şentürk obtained a baccalaureate degree in Chemistry in 2002, a master’s degree in Biochemistry in 2006, and a doctorate degree in Biochemistry in 2009 from Atatürk University, Turkey. Dr. Şentürk currently works as an professor of Biochemistry in the Department of Basic Pharmacy Sciences, Faculty of Pharmacy, Ağri Ibrahim Cecen University, Turkey. \nDr. Şentürk published over 120 scientific papers, reviews, and book chapters and presented several conferences to scientists. \nHis research interests span enzyme inhibitor or activator, protein expression, purification and characterization, drug design and synthesis, toxicology, and pharmacology. \nHis research work has focused on neurodegenerative diseases and cancer treatment. Dr. Şentürk serves as the editorial board member of several international journals.",institutionString:"Ağrı İbrahim Çeçen University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Ağrı İbrahim Çeçen University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}],selectedSeries:{title:"Infectious Diseases",id:"6"},selectedSubseries:null},seriesLanding:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"June 29th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:4,numberOfPublishedChapters:318,numberOfPublishedBooks:32,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"219081",title:"Dr.",name:"Abdulsamed",middleName:null,surname:"Kükürt",fullName:"Abdulsamed Kükürt",profilePictureURL:"https://mts.intechopen.com/storage/users/219081/images/system/219081.png",institutionString:null,institution:{name:"Kafkas University",institutionURL:null,country:{name:"Turkey"}}},{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/71016",hash:"",query:{},params:{id:"71016"},fullPath:"/chapters/71016",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()