The results of the survey dealing with the increase of knowledge in FuTecRI workshop.
\r\n\tcontrol, other executive functions, and higher-order mental abilities. Contributing authors will further discuss applied, clinical, and practical implications of response inhibition deficits across neuropsychiatric phenomena with divergent clinical features and presentations, in addition to considering its potential value as an endophenotype or bio-behavioral marker of genetic susceptibility.
\r\n\r\n\tFinally, this book will cover current and emerging approaches to intervention, prevention, and remediation of response inhibition deficits in high-risk populations.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"a5d4f6ff2d0b298e7e0185af0c382b48",bookSignature:"Assistant Prof. Kenneth J.D. 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For example, in Germany, the novel magnetic levitation train collided with a maintenance vehicle and killed 23 people in 2006 [1]. Ten years later, in 2016, two trains collided again in Germany, killing 11 people and injuring 85 people despite the automatic braking system that ought to have been at work [2]. In 2016, the autonomous car claimed its first victim when the radar system of the autopilot failed to recognize a truck that was crossing the road in Florida [3]. In June 2017, at least 80 people died in a huge fire that took place in a London tower block that was covered with a new type of cladding, which included polyethylene foam [4]. In 2008, the new bioleaching technology used to extract nickel from ore was taken into commercial use in Finland, the first to adopt it in Europe [5]. Four years later, in 2012, one of the personnel died (as a victim of hydrogen sulfide exposure) due to a lack of safety equipment [6]; additionally, there were significant challenges associated with the management of the process waters, which consequently resulted in the company filing for bankruptcy [7]. Today drones hit people all over the world and collisions with helicopters and planes are just a matter of time [8].
Sociologist Ulrich Beck warned us over 20 years ago about the “risk society” where society is gradually exposed to the risks it creates and finally the negative effects of the progress become greater than the positive impacts [9]. The fast change and development of new kinds of technologies have increased likelihood and probability of technogenic risks even if there is a strong attempt to identify and anticipate risks. The term “technogenic risk” stands here for risks whose origin is in man-made technology, also including newer technologies, such as nanotechnology, biotechnology and information technology. In this article, technogenic risks not only mark accidental risks but also the creeping effects of risks to society, such as gradual land pollution or effects to human welfare.
Today’s risk landscape consists of many interlinked elements, including interdependency, complexity, uncertainty, ambiguity, and cascading effects, which are all amplified by an increased dynamic of globalization [10, 11]. Advances in information and communication technology as well as in other kinds of technologies have increased these linkages and connections between states, institutions, corporations, civil society, and individuals. As a result of this process, the amount of interdependencies between persons, nations, markets, and societies is bigger than ever before [10]. Due to the complexity of the systems, it is difficult or even impossible to identify or quantify causal links between causes and the adverse effects of the unwanted phenomenon. One initial event may inflict different consequences in different parts of the state or world. Uncertainty is an inevitable part of different and distinct components of risks, such as statistical variation, measurement errors, ignorance, and indeterminacy [12]. Uncertainty reduces confidence in the estimated cause and effect chains. Ambiguity implies different interpretations based on human observations or data assessments. It strengthens the effect of cultural differences on risk assessment. Cascading effects describe the second, third, etc. step consequences of the initial risks to society as a whole, which, unfortunately, due to the previous elements are difficult to assess. It has been stated that in the near future different technologies, such as nanotechnology, biotechnology, information technology, and cognitive science (NBIC), will converge [13, 14, 15]. Due to this, the technogenic risks of new technologies grow even harder to understand and manage.
Complete risk management is challenged by a lack of knowledge. Although our knowledge of the world around us grows day by day, we are not aware of what pieces of information are still missing [16]. It has been pointed out that we do not have enough knowledge of, or we do not have enough understanding of climate change, technological innovations, wars, human behavior in different circumstances or changes in markets [12]. Moreover, even if the required information exists somewhere, we do not want to accept it due to our personal biases. Nicolas Taleb presented, in 2008, the concept of “Black Swans,” which are highly consequential but unlikely events [16]. They are easily explainable but, unfortunately, only after the event. The existence of Black Swans highlights human nature: even if we have all the required information, we do not see—or we do not want to see—what is coming. Risk is a very adaptable and flexible unit, and for some, it appears to be a threat and at the same time for others an opportunity; risk is relative and individually defined. Renn has stated that the more ambiguous risk is, the more need there is for interpretation, and it also creates more cognitive, evaluative or normative conflicts [17]. These conflicts cannot be solved only by pure scientific knowledge, as even the scientific opinions of complex issues differ. There is a need for multidimensional discussion and collaborative multidisciplinary risk assessment.
In a standard risk management procedure, risk identification is the first step toward holistic risk management. It creates the basis for reasonable, effective, and comprehensive risk assessment. Risk identification ensures the quality of risk assessment and finally the effectiveness of the whole risk management process. Thus, the risk identification stage should be done with considerable care.
In spite of all the scientific knowledge about risk identification, assessment, and management, the main responsibility for managing technogenic risks in the European Union is put on operators, corporations, manufacturers, and suppliers. The latest SEVESO III directive (Directive 2012/18/EU) insists that operators and corporations should cooperate to identify the domino or cascading effects of initial risks. This is a challenging task to perform, as often in the same industrial area there are many competing companies that are not willing to share commercially sensitive information. In addition, at least in Finland, the latest technogenic risks ensued from the following initial faulty or poor solutions [18]:
The new technology (train steering system) was not compatible with the existing one (old tracks and steering methods).
The built environment gradually accumulated risks, while new technology was combined with the old one. Due to this, liquid ammonia was released inside the factory leading to evacuation.
There was not enough communication between the authorities and the company and thus the identified risks were not known. This resulted in damages to natural gas pipelines.
There were too many subcontractors, and no one understood the entirety of the new building construction. Due to this, several roofs of sports halls and commercial buildings collapsed during the winter.
There was not enough knowledge of what happens in elderly peoples’ homes during long electricity blackouts. When it happened during the winter, society was not prepared to evacuate people as soon as it should be done.
The authorities did not have enough knowledge of new technologies, and therefore, they made faulty decisions with environmental licenses.
None of these technogenic risks could have been prevented by the cooperation of single companies but may have been by broader stakeholder collaboration.
Due to the rapid change in new technologies and a shrinking and convergent world, it is clear that no person or organization alone is capable of identifying all the emerging technogenic risks. There is a need for effective collaboration between all the different stakeholders, authorities, scientists, politicians, and civilians. The commonly admitted and approved solutions should be retrieved with cooperation and a common valuation of differing values. The future is not defined in advance, but we are all able to change and reconstruct it a little toward the plausible future. Using the methods of future studies, we can create new methods to manage future risks, and in this way, we can define what kind of future we want to have.
Despite all the requirements, it is not a very conventional task to collect all the requisite stakeholders together or combine their knowledge to focus on identifying the technogenic risks of future technologies. The next chapters present not only the method developed for this risk identification task but also the basis for the solution.
To ensure that societies are prepared against technogenic risks due to new technologies, the aim of this research process was to develop a risk identification process that is able to combine information of new technologies from different disciplines as well as from different stakeholders to anticipate future risks.
The research process included two main steps:
Development of the risk identification tool. This stage of the process started from interviews with authorities and literature research to find out the most suitable methods and to select the best one for stakeholder cooperation. The tool was then tested in a real-life situation to find out the risks to society initiating from hydrogen and fuel cell technology.
Development of the risk identification procedure for risk identification workshops. To arrange effective collaboration in workshops, a broad literature study was done to tackle the worst mistakes preventing fruitful cooperation and to create the guidelines for authorities for workshops.
As a result of the research, a new risk identification method called anticipation of future technogenic risks identification (FuTecRI) was developed. This risk identification method was developed in close cooperation with Finnish authorities, such as the Finnish Chemical and Safety agency (TUKES), the Pirkanmaa and Uusimaa Centres for Economic Development, Transport and the Environment, the Rescue Services of Helsinki, the City of Virrat and the Council of Tampere Region, for example. These authorities were interviewed, they took part in workshops and they evaluated the method after the workshop. They also did self-assessment of their accrued knowledge of hydrogen and fuel cell technology before and after the workshop.
The developed future technogenic risks identification (FuTecRI) tool is based on the future studies method called the Futures Wheel that was developed in 1971 by Jerome Glenn. It was developed to organize future events in a reasonable order. The method is a visual one, and it helps one to receive a comprehensive picture of the issue discussed. The Futures Wheel is mainly used to present thoughts about future development or trends [19].
In this study, the FuTecRI method was developed mainly for the authorities’ needs. Their opinion was taken into account when selecting a suitable method for risk identification. The Futures Wheel was selected as a base ground for the tool development among 22 different risk assessment and future studies methods for six main reasons:
It can be used for studying technical systems and their connections with the natural and built environment.
It is suitable for studying future aspects of risks.
It is suitable for collaborative brainstorming.
It is easy to learn and take into use.
It does not require much time resources from professionals, authorities, or scientists.
It does not necessarily require any facilitator services.
The Futures Wheel approach was further developed to identify the future negative effects of new technologies In the first stage, four different prior new technologies (chimney, matchstick, steamboat and train, electricity, and mobile phone) were analyzed to find out what tor tens of years ago. These changes were categorized to select key words for the FuTecRI tool against which the risk of new technologies should be identified and evaluated. The breakthrough times of these old technologies were different (chimney 400 years, mobile phone 34 years), which also indicates the amount of changes needed in the regional culture to accept new technologies. The selected key words were health, safety and security, environment, built environment, regulations and instructions, land use, and regional development of the area.
The developed FuTecRI tool is a fill-in-the-blanks diagram presented in Figure 1. The central term in the figure describes the discussed new technology that should be evaluated in relation to the key aspects (surrounding it) to find out the potential risks.
FuTecRI tool for identification of the future risks introduced by new technologies [
The risk identification tool alone does not ensure effective risk identification, but great attention must be paid to the participants of the workshops. To find out the rules for selection of these participants and for facilitation of the workshops, another broad literature research was done.
Cognitive sciences highlight that multiprofessional and multidisciplinary cooperation is a key for collaborative grading through which a group can achieve better results in problem solving than by working individually [20] and in group work people are able to solve problems that are unsolved by working alone [21]. This is because in difficult decision-making situations people use other actors and people’s knowledge to widen their own knowledge and understanding, and thus, they can effectively solve challenging problems [22, 23]. When people are working in groups, they are also forced to recognize the shortcomings of their own knowledge and they can even change their opinions accordingly [24]. It has been pointed out that when all the knowledge dealing with a common target from different disciplines is combined, it is possible to find solutions that cannot be found by any single discipline alone [25].
However, group work does not automatically ensure better results than working alone. To work effectively, the group must be multidisciplinary or at least multiprofessional. The participants need to understand the idea of the workshop, they have to engage with the work and they should deliver their knowledge to other participants. Bohm and Beat have presented a method for creative dialogue insisting that all the participants should be flexible and they should have the ability to negotiate about their opinions with others [26]. The result of this negotiation is not a compromise but rather a creative solution that will be acceptable to all the participants. The creative dialogue can be received if the participants present broadly different disciplines.
One of the main challenges for the multiprofessional group work comes from the competition between professions. Profession is defined here as an authorized status or post in relation to other professionals with specialized knowledge, and the ability to use one’s own discretion at work [27]. It seems that professional competition is very common and it becomes apparent when discussing who has the power to make decisions in a certain context [28]. Very often, the professions feel cooperation with other professions is a threat to their own knowledge and authority. People are also unwilling to receive new knowledge if it contradicts their existing knowledge [29]. One of the best situations in which to exceed professional competition and to share and receive new knowledge is in multidisciplinary workshops that are targeted at sharing knowledge with other professionals [30].
Even when the participants are ready to take part in the workshops and share their knowledge, there are still barriers to overcome. Different work cultures may prevent or hinder cooperation; for example, in hierarchically arranged organizations, such as the police and in hospitals, the valuable knowledge of subordinates might stay invisible. Also, the different paradigms, beliefs, terminologies, and methods will prevent common understanding [26, 31].
Finally, there are some other difficulties that may prevent cooperation. Especially dominant persons may hinder discussion and prevent the group from sharing all information and knowledge they have [32]. It is important that all the participants are interested in the subject they are discussing and they have booked enough time for the work. To get through all these impediments, it is important to create a safe and trustful environment for the work groups. The participants must feel that they can trust not only the expertise of other participants but also their behavior, which should be appreciative, friendly, and predictable [33].
As a result of the analyses of the advantages and disadvantages of the collaborative group work, a range of conclusions were made and the working procedure for the authorities was produced. One remarkable note was that all the participants taking part in the workshops should have a personal interest in the discussed topic. However, the authorities are overworked in these days, and therefore, an interest is not enough; they also need to have enough time to take part in the workshops. This led to the conclusion that all the workshops arranged to identify technogenic risks should be strongly justified. This means that for one new technology there should be only 1–2 workshops in the whole country, and they should be planned to combine broadly all scientific knowledge, professional data, and stakeholder opinions in an efficient way. Figure 2 presents the decision frame to start a new risk identification workshop as well as the main steps of the risk identification workshop. All stakeholders have the possibility to start a new risk identification workshop if they feel that it is needed for ensuring safety and security of society in the future. In the beginning, they have to answer three questions, and if the answer is always “yes,” they should start the process. If this condition is not met, the FuTecRI method should not be used, but other methods may be more useful. For example, if the impacts of the new technology are only local, traditional risk assessment methods are more suitable.
Decision process to start the FuTecRI workshop and the main steps for arranging it [
The participants of the workshops should be selected in a reasonable way taking into account the following viewpoints [18]:
Multiprofessionality—the participants should represent all the different authorities in charge of preventing the risks of new or novel technologies, or of preserving or maintaining a safe and secure society.
Multidisciplinary—the participants should represent the latest academic and scientific knowledge of the technology in question.
Personal features—the participants need to be personally interested in the technology discussed, they should be open-minded and responsible persons, and they should want to find good solutions for everyone.
The main question for a successful FuTecRI workshop is how to ensure that the authorities especially, but also other stakeholders, put aside their professional and official position during the workshop because it may prevent them from sharing their personal knowledge and receiving new information. This is an issue that should be clearly discussed at the beginning of the workshop. The participants must understand that they are not in the workshop because of their official status but because of the knowledge they have, and their role is to deliver this knowledge to other participants.
To focus the group on the same target, the flow of the FuTecRI workshop must be well organized and the frame and content should be clear (Figure 3). At the beginning of the workshop, it is essential to highlight the importance of risk identification as well as to justify the working method. The importance of the identification of the risks of technogenic risks can be stated by Geel’s theory of sociotechnical change [34, 35]. According to this theory, new technologies may break through and spread all over if external circumstances are favorable to them. In these cases, they may affect huge changes in culture, infrastructure, regulation, and markets, for example. A good example of this kind of change took place when mobile phones came into the market. It is clear that some technologies have the potential to change the whole society, and society should be able to handle and remove risks before they are actualized.
The flow of the FuTecRI workshop [
To ensure that the topic of the workshop is clear, there should be a state-of-the-art presentation of the discussed technology before the collaborative work. In this presentation, all the known aspects of the technology in question, pros and cons, should be given to the participants, and therefore, this presentation should be given by academic or research institutes. The challenge is to present the technology with terminology and concepts that are understandable to all stakeholders and authorities, professionals, and nonprofessionals.
Finally, when risk identification starts, the participants should be arranged into smaller working groups. The group should include only five to seven participants, as this has been proved to be the most effective group size for cooperation [32]. In larger groups, nonparticipation increases because people easily forget their role in the workshop as a knowledge deliverer. It is also important that no notes of who-said-what are taken but all the notes are done as a group. This kind of working removes official roles and gives room for expertise. Each group may have a recorder of their own, but it is also possible for all the participants to make notes on the working tool.
The developed FuTecRI tool and working procedure were tested in a workshop arranged by hydrogen and fuel cell researchers from the VTT Technical Research Centre of Finland. Hydrogen and fuel cell technology is undergoing strong development work, and the researchers wanted to know if there is an understanding of what kind of requirements the new technology imposes on society. The participants of the workshop consist of representatives from the Finnish Chemical and Safety Agency (TUKES), the Pirkanmaa and Uusimaa Centres for Economic Development, Transport and the Environment, the Rescue Services of Helsinki and VTT; all together 11 participants were arranged into two working groups. The workshop followed the procedure presented in Figure 3. The new technology was presented by VTT researchers to the participants.
The workshop took 5 h, the first 2 h of which were discussions of dealing with the theory of sociotechnical change and the hydrogen and fuel cell technology and its current state. After the lunch break, people worked in groups for 2 h to explore what kind of risk hydrogen and fuel cell technology might create. Finally, both groups presented their results to each other. The results of the workshop were combined into the one mind map and delivered to the participants for their later use.
The workshop results brought out several issues regarding hydrogen and fuel cell technology that need to be discussed and managed at a governmental level, such as [18]:
Environmental issues. The production of hydrogen and fuel cells requires platinum as a raw material. This will improve material recycling but also increase mining actions. The positive effects include emission-free fuel and quiet traffic.
Built environment. The fuel distribution stations are not covered by any legislation. Thus, the hydrogen fuel can be delivered even from delivery trucks, which can cause dangerous situations. There is a need for new legislation. In addition, underground parking places need to be equipped with hydrogen sensors to avoid explosions.
Safety issues. Road accidents involving hydrogen and fuel cell cars may cause danger to rescue services because the fuel cell vehicles do not visibly differ from other vehicles but the rescue operations vary depending on the fuel type of the vehicle. In addition, fuel cell vehicles move quietly, which may increase road accidents, as people may not hear the arriving cars especially in the winter.
Land use. For safe land use, there is a need to plan regional hydrogen pipelines that are later suitable for different kinds of hydrogen use.
The workshop participants also took part into two different surveys. The first one was done in two parts, at the beginning of the workshop and immediately after it. This survey focused on evaluating the change in participants’ knowledge of hydrogen and fuel cell technology. The idea was that people made a self-assessment at the beginning of the workshop evaluating their own knowledge on a scale of 5–10 (5: weak knowledge; 10: excellent knowledge). This scale was selected as it was used for a long period in Finnish schools, and therefore, it was easy for the participants to understand. After the workshop, they were asked to evaluate themselves a second time. They then had to answer two questions: What did they now think their knowledge was at the beginning of the workshop? and What did they think their knowledge level is after the workshop?
The results were very interesting (Table 1). At the beginning of the day, participants thought that their knowledge was at a considerably low level, and only one participant (perhaps a researcher) thought that he had excellent knowledge. During the workshop, they understood that their knowledge level was not even at that level, and a comparison between the morning and afternoon estimations indicates that all of the participants lowered their estimations. The very interesting thing is that the workshop brought a lot of new knowledge to all participants. Even the hydrogen and cell fuel researchers received a lot of information regarding the impacts of new technology on society and the built environment. It seems that the FuTecRI workshop worked as it was planned to, it stimulated the participants to share their knowledge and accumulated new information on top of the old information, and in that way, it made it possible to also identify the risks of new technology.
Self-evaluation of the level of knowledge, hydrogen and fuel cell technology | 5 | 6 | 7 | 8 | 9 | 10 | Av. |
---|---|---|---|---|---|---|---|
Estimated knowledge level before the FuTecRI workshop evaluated before the workshop | 2 | 2 | 3 | 1 | 1 | 6.8 | |
Estimated knowledge level before the FuTecRI workshop evaluated after the workshop | 3 | 3 | 2 | 1 | 6.1 | ||
Estimated knowledge level after the FuTecRI workshop evaluated after the workshop | 3 | 5 | 1 | 7.8 |
The results of the survey dealing with the increase of knowledge in FuTecRI workshop.
Evaluation criteria: 5 = poor knowledge, 10 = excellent knowledge [18].
The other survey handled the content of the workshop. The survey was sent to the participants about 1 month after the workshop. The participants were asked how they later thought of the position of the workshop in their minds. The first questions dealt with the reliability and validity of the distributed information dealing with hydrogen and fuel cell technology. The participants were convinced that it was the latest and most up-to-date information they received. However, one researcher pointed out that private companies very often have the newest knowledge, but they are not willing to share it even with research organizations.
The next questions concerned the functioning of the workshop. All participants were satisfied with the workshop proceedings. They felt that because of the small groups they were consulted and it was easy for them to bring their own knowledge into the process. The results of the brainstorming work were written directly on to a wide paper sheet where the main words were ready-written in the middle of the paper. This helped people to immediately start the brainstorming process, and the fear of the empty paper was tackled. The participants were very active in discussing the hydrogen and fuel cell technology, which was surprising to all.
The FuTecRI method was developed to help authorities to be prepared for future technogenic risks introduced by new technologies. The use of the method requires effective stakeholder cooperation at least from authorities and scientists. The results may be even better if the companies developing new technology could also take part in the process. According to the results of the FuTecRI workshops, it is possible to steer the development of society toward a safe and secure future through the use of, for example, new regulations or improved land use planning.
To work well, the method should involve not only the authorities and other stakeholders but also researchers from academia and research institutes. It is especially important that the focus of the workshop, the new technology, is presented by special researchers who are specialist in the technology in question. Otherwise, the result of the workshop might be just guesswork and no future solutions can be built on it.
Because the FuTecRI method involves a large group of professionals and scientists, it is important that no workshops are performed in vain, because it will reduce the motivation to take part into the FuTecRI method. Therefore, the results of each workshop should be delivered to all essential authorities through their own information networks.
However, this kind of workshop works only as a starting point to manage the risks of new technologies. The method should be further developed to also produce guidelines on how to analyze the highlighted risks or take them into account in different kinds of processes, such as environmental or chemical licenses, or land use planning.
This research and article presents the main findings of the thesis of the author [18]. I am greatly thankful to the representatives of the Finnish authorities who helped me through this work and gave me valuable information. The work was carried out during the years 2012–2015, and it was not the main duty either for these authorities or for me. Because both parties also had other duties to perform, the collaboration was important to the success of this work.
Tensile strength prediction of unidirectional carbon fiber-reinforced plastic (UD-CFRP) composites had been one of the major topics of CFRP composite research since the 1950s. Many attempts had been conducted to predict tensile strength, including the early pioneering work by Cox [1], Rosen [2], and Kelly and Tyson [3]. In recent years the studies using enhanced computer simulations have deepened the understanding of failure processes of a UD-CFRP composite, and these studies have enabled greatly increased understanding of the failure of the composite structures [4, 5]. More recently the work by Swolfs and colleagues showed observations of individual fiber breaks occurring leading to the creation of clusters of breaks in UD-CFRP composites using high-resolution synchrotron tomography, leading to an experimental proof of critical cluster size [4]. The work by Thionnet and colleagues has used a 3D multi-scale simulation coupled with experimental results which has allowed a detailed understanding of failure in UD-CFRP composites including the kinetics of fiber breaks not only in monotonic tests but also in long-term steady load tests [5]. Moreover, improved computer techniques have enriched the understanding of the failure processes of UD-CFRP composites [4, 5, 6, 7].
\nAccording to the above-mentioned previous reports, the failure mechanisms of UD-CFRP composites can be described as follows: no load perturbation resulting from a fiber break is uniformly distributed among the surviving fibers because it is more heavily applied to the next fibers. Therefore, when a fiber breaks, the load that it is carrying is transferred to the surviving neighbors, increasing the degree of concentrated stress on these fibers relative to more distant fibers and increasing the probability of failure at this position. This consequently leads to the constitution of broken fiber clusters and subsequent failure of the UD-CFRP composites. Considering such fracture processes, although a large number of studies have only addressed the load redistribution caused by fiber breakage, several studies that have implemented fragmentation tests have reported that a matrix crack or damage to a matrix comes from around a fiber break point. Although the concentrated stress on an intact fiber surface neighboring a fiber break point has been widely acknowledged as a critical factor determining the ultimate tensile strength of UD-CFRP composites, the strength prediction of such composite considering the stress concentration owing to the fiber failure is so far from satisfactory.
\nHere we considered the stress concentration acting on an intact fiber surface caused by a fracture site in a neighboring broken fiber into our prediction of the ultimate tensile strengths of the UD-CFRP composites. The concentrated stress acting on the intact fiber surface was investigated by utilizing a double-fiber fragmentation testing in combination with a SEM simulation. The acquired stress concentration factors were then implemented to access the tensile strength of the UD-CFRP composites. The double-fiber fragmentation composites and the UD-CFRP composites were elaborated with a T1100G-type carbon fiber and epoxy material and tested to validate the proposed prediction method. The size scaling results obtained in conjunction with the results obtained from the SEM simulation were reasonably consistent with the experimental data on the tensile strengths of the UD-CFRP composites. We have also systematically investigated a possible scenario on the origin of stress concentrations generated on an intact fiber surface which is investigated through a numerical analysis based on the finite element method.
\nT1100G-type carbon fiber and four types of bisphenol-A-epoxy resin materials were used to elaborate multi-fiber and UD-CFRP composites. The four types of preheated and degassed epoxy resins were separately poured into a preheated glass mold, then cured in an air oven at 160°C for 5 h followed by post-curing at 180°C for 2 h. The specimens were cut into a dumbbell shape (gauge length = 30 mm; width narrow parallel portion = 5 mm; thickness = 1 mm) according to the JIS-K7161-2 standard. The mechanical properties were measured by uniaxial tensile loading tests performed on a servohydraulic testing machine (i.e., MTS Landmark) with a loading cell of 50 kN under atmospheric conditions at room temperature. The load application was performed at a crosshead speed of 4.17 μm/s (0.25 mm/min). Two strain gauges were mounted along the longitudinal and transverse directions on the sample. Figure 1 indicates that tensile loading experiments performed herein revealed that the four types of epoxy materials exhibited different mechanical characteristics. Therefore, the epoxy materials are hereafter referred to as “A-epoxy,” “B-epoxy,” “C-epoxy,” and “D-epoxy,” with the order of the names indicating the magnitude of the elastic modulus.
\nSummary of the (a) stress–strain curves and (b) mechanical properties for the four types of epoxy materials.
Multi-fiber fragmentation specimens were elaborated by positioning two to four fibers parallel to the loading direction, implementing an interfiber spacing of approximately one-half to four fiber diameters (i.e., approximately 3.5–20.0 μm). The details of sample preparation can be found in [8]. Multi-fiber fragmentation tests were conducted to facilitate the derivation of a quantitative description of fiber failure mechanisms by using a polarized light microscope equipped with a four-point bending machine. A strain gauge was used to monitor the tensile strain applied to the fibers. The tensile strain was increased in 0.1% steps until a maximum of 5.0% strain was applied and kept constant during the measurement of both the number and positions of the broken fibers. The number of fractured fibers observed under the pure bending conditions was measured using the microscope. The strain applied to the fiber
where
Monte Carlo methods were mounted in the SEM simulation to investigate the SCF on the intact fiber surface next to the fiber break points. The details of model preparation and simulation procedures can be found in [8]. In brief, a simulation model consisted of longitudinal and transverse spring in a 3D hexagonal arrangement. In this analysis, the longitudinal elements behave as carbon fibers that exclusively sustain the tensile load, while the transverse elements work as a matrix that only carries the shearing load. The stiffness matrices of the fiber matrix elements are separately calculated as follows:
\nwhere \n
where
With the aim of simplicity, the SEM model considers exclusively the effect of plastic deformation of the matrix. The axial stress \n
where\n
where \n
where \n
where
The surface SCFs
First, the UD-CFRP composites made with four types of matrix polymers were elaborated and then employed with tensile loading tests to investigate their mechanical properties along the direction of the fiber axis. As shown in Figure 2, all composites tested in this study demonstrated catastrophic failure after reaching a maximum load, exhibiting a stress–strain relationship that is typically observed in conventional UD-CFRP composites; no clear difference was noted between the Young’s modulus values, whereas, for example, the composite fabricated with the D-epoxy demonstrated strength enhanced by a factor of about 1.2 compared to the composite prepared with the A-epoxy.
\nSummary of the (a) stress–strain curves and (b) mechanical properties for the four types of UD-CFRP composites.
As previously mentioned, the fibers next to a broken fiber were applied to enhanced concentrated stress, leading to the increased of the failure probability. Thus, the understanding of the failure processes of the above-mentioned fiber is a requirement for the tensile strength prediction of UD-CFRP composites. A double-fiber fragmentation testing was conducted in order to investigate the effects of the interfiber spacing on the failure processes of such fibers. First, the B-epoxy was used in the specimen preparation. It was found from the double-fiber fragmentation testing that a large number of fiber underwent failure at similar positions, suggesting that the concentrated stress generated by fiber failure was sufficiently high to cause the next fiber to fracture, which nullifies the influence of randomly distributed flaws along the fiber on the fiber strength. The percentages of coordinate fractures observed for the double-fiber composites with interfiber spacings of 3.6, 9.9, and 20.0 μm were 73, 57, and 60%, respectively. Even though some flocculation has been observed for the percentages of coordinate fractures, the acquired percentages appeared to be higher than those observed for fiber failure that was governed by the statistical strength distribution of fibers [13]. This indicates that for an interfiber spacing of one-half to four fiber diameters, the failure processes of the fiber were governed by the fiber-fiber interactions.
\nNext, the fiber fracture behavior of the multi-fiber fragmentation specimens having up to four fibers was investigated to determine the surface SCFs. The microscopy observation revealed that matrix cracks and the coordination of fractures in neighboring fibers have been observed in multi-fiber fragmentation specimens, irrespective of the number of fibers. The coordinated fracture percentages in the double-fiber specimens tended to increase as the number of fibers was increased. At 3.2% fiber strain (i.e.,
A quantitative determination of the surface SCFs α on an intact fiber next to a fiber break point was achieved by implementing the SEM to investigate the α. Figure 3a shows the relationship between the SCF and the coordinated fracture percentages for each fragmentation specimen, which was determined by systematically sweeping α in the SEM simulation. The simulation results demonstrated that the percentages increased with an increased SCF and decreased in response to an increase in the number of fibers. By comparing the simulated coordinated fracture percentages to the experimentally obtained data, the surface SCF on an intact fiber appeared to be ∼2.0. Furthermore, no fiber number significantly affects the surface SCF, suggesting that for the UD-CFRP composites elaborated with the B-epoxy, the stress concentration acting on the fiber surface was approximately twice as much as the fiber stress with no additional surface stress concentration. Figure 3b depicts a comparison of the simulated experimental results for the UD-CFRP composites prepared with the B-epoxy. As indicated in Figure 3b, the measured tensile strengths of the B-epoxy matrix composites are 3.05–3.32 GPa (mean, 3.17 GPa). The simulated data that acquired no consideration of the added concentrated stress were incongruent with the experimental data, whereas the predictions incorporating an SCF of 2.0 were reasonably consistent with the experimental data, indicating that the prediction method proposed herein yields a reasonably accurate tensile strength prediction when the matrix crack-induced surface stress concentration of fibers is appropriately considered.
\n(a) Relationship between the stress concentration factors and the percentage of coordinated fractures. (b) Experimental and simulated results for the UD-CFRP composites.
We implemented the above-mentioned strength prediction method into the UD-CFRP composites elaborated with the “A-epoxy,” “C-epoxy,” and “D-epoxy.” The surface SCF on intact fibers was acquired via the double-fiber fragmentation testing taking into account of the fact that for the B-epoxy matrix composites, no fibers number influence the SCFs. The SCFs were calculated as ∼2.15 for the A-epoxy material, ∼1.93 for the C-epoxy material, and ∼1.75 for the D-epoxy material. Thus, surface SCFs were implemented to access the tensile strength of the three types of the UD-CFRP composite materials. In one example, as shown in Figure 2b, the measured tensile strengths of the D-epoxy matrix composites ranged from 3.74 to 3.97 GPa (mean, 3.85 GPa). The estimated tensile strength simulated under the condition of α = 1.75 was ∼3.9 GPa. Consequently, the results demonstrate that, even if the mechanical properties of the matrix materials vary, the proposed method can yield a reasonable prediction of the tensile strength of the UD-CFRP composites.
\nThe possible mechanisms by which the additional concentrated stress occurs is not clear so far; moreover it is unclear why the SCF varies depending on the matrix mechanical properties. A numerical analysis using the FEM was performed to understand possible mechanisms by which significant stress occurred on the intact fiber surface next to the fiber break point. The details of model preparation and material properties can be found in [8]. In brief, a hexagonal fiber arrangement was used in this study, and only one-half of the composite structure was modeled and analyzed due to reasons of structural symmetry. The plasticity-free layer model, referred to as the SSV model [10], an elastic layer with a thickness of 50 nm, was applied around the matrix crack using the same elastic properties as the D-epoxy material. No matrix crack was assumed to reach the intact fiber surface, and there was a gap between the crack tip and the intact fiber surface. In this analysis, the gap was changed to 10, 30, and 50 nm. The elastic stiffnesses of the T1100G-type carbon fiber are listed in [11].
\nIt was demonstrated that an SCF of α = ∼1.7, as observed for the D-epoxy matrix composite with the gap of 30 nm, was indeed on the surface of the intact fiber. Here, the SCF was defined as the ratio of the stress of an outermost surface element of the intact fiber to the stress in an element sufficiently away from the fiber break point. Note that the stress recovery behavior in the broken fiber was reasonably consistent with that obtained from the SEM simulation under the SCF condition of α = 1. Figure 4a shows the effects of the gap on the SCF in the circumferential direction of the intact fiber; the SCF decreases with the increase in the measurement angle, and the SCF reaches almost 1, regardless of the differences in the gaps. Figure 4b summarizes the effects of the gap on the SCF in the diameter direction of the intact fiber; the SCF decreases with the increase in the distance from fiber surface, indicating that a significantly higher stress concentration is generated on the outermost surface area, and the degree of stress concentration is going to be small rapidly inside the fiber. The averaged SCF subjecting on the full cross-sectional area of the intact fiber next to a broken fiber at the plane of fracture was calculated to be approximately 1.1. This “averaged SCF” is reasonably consistent with the previously reported averaged SCF around a broken fiber in a UD-CFRP composite [14, 15, 16, 17].
\nPositional dependence of the SCF in the (a) circumferential direction and (b) diameter direction of the intact fiber.
Four types of UD-CFRP composite materials with different mechanical characteristics were elaborated in this study. The tensile strengths of the fabricated composites were predicted via a SEM simulation based on the results obtained from multi-fiber fragmentation experiments. The primary aim of this study was to explore the effects of matrix polymer properties on the stress concentrated on the fiber surface. It was revealed that the extent of concentrated stress acting on the intact fiber surface can be changed by modifying the mechanical properties of the matrix polymer. By employing an epoxy matrix having a higher Young’s modulus and increased tensile strength in the composite preparation reduced the SCF from a ∼2.15 to ∼1.75. We have also shown a numerical scenario on the origin of the stress concentrations that are generated on the intact fiber surface by implementing the SSV model and employing the rehardening characteristics of epoxy materials. Finally, we confirmed that employing the measured SCFs and bimodal Weibull distribution to determine how strength is statistically distributed throughout the fiber yields the predicted strengths of the four types of UD-CFRP composites that are reasonably consistent with the experimental data, thereby demonstrating the validity of the proposed prediction method.
\nThis work was partly supported by Toray Industries, Inc., and JSPS KAKENHI with grant number 18K04721.
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Teguete, Y. Traore, A. Sissoko, M. Y. Djire, A. Thera, T. Dolo, N. Mounkoro, M. Traore and A. Dolo",authors:[{id:"87496",title:"Dr.",name:"Ibrahima",middleName:null,surname:"Teguete",slug:"ibrahima-teguete",fullName:"Ibrahima Teguete"}]},{id:"31273",doi:"10.5772/31669",title:"Aqueous Extract of Human Placenta",slug:"aqueous-extract-of-human-placenta-as-a-therapeutic-agent",totalDownloads:5560,totalCrossrefCites:5,totalDimensionsCites:19,abstract:null,book:{id:"702",slug:"recent-advances-in-research-on-the-human-placenta",title:"Recent Advances in Research on the Human Placenta",fullTitle:"Recent Advances in Research on the Human Placenta"},signatures:"Piyali Datta Chakraborty and Debasish Bhattacharyya",authors:[{id:"88185",title:"Prof.",name:"Debasish",middleName:null,surname:"Bhattacharyya",slug:"debasish-bhattacharyya",fullName:"Debasish Bhattacharyya"},{id:"127848",title:"Dr.",name:"Piyali Datta",middleName:null,surname:"Chakraborty",slug:"piyali-datta-chakraborty",fullName:"Piyali Datta Chakraborty"}]},{id:"27121",doi:"10.5772/27439",title:"Clinical Risk Factors for Preterm Birth",slug:"clinical-risk-factors-for-preterm-birth",totalDownloads:8732,totalCrossrefCites:9,totalDimensionsCites:19,abstract:null,book:{id:"776",slug:"preterm-birth-mother-and-child",title:"Preterm Birth",fullTitle:"Preterm Birth - Mother and Child"},signatures:"Ifeoma Offiah, Keelin O’Donoghue and Louise Kenny",authors:[{id:"68552",title:"Dr.",name:"Ifeoma",middleName:null,surname:"Offiah",slug:"ifeoma-offiah",fullName:"Ifeoma Offiah"},{id:"70166",title:"Prof.",name:"Louise",middleName:null,surname:"Kenny",slug:"louise-kenny",fullName:"Louise Kenny"},{id:"74717",title:"Dr.",name:"Keelin",middleName:null,surname:"O'Donoghue",slug:"keelin-o'donoghue",fullName:"Keelin O'Donoghue"}]}],mostDownloadedChaptersLast30Days:[{id:"58219",title:"Congenital Abdominal Anomalies",slug:"congenital-abdominal-anomalies",totalDownloads:1384,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Introduction: Abdominal anomalies that appear during intrauterine life are complex due to many organs that are affected. In cases, the ultrasound appearance is a cystic image with different content and the differential diagnosis is often difficult. Body—research methods: the organs affected by abdominal congenital anomalies involve the gastrointestinal tract (stomach, duodenum, small bowel or colon, and gall bladder), the kidney and urinary tract, the peritoneal cavity (ascites), suprarenal glands, and tumors of the reproductive system (especially the ovaries). In order to identify the affected structures, it is mandatory to know the normal aspect of the abdominal content at different gestational ages. The diagnosis may be very difficult, but its accuracy is important, considering the need of further counseling the couple. In minor conditions, without chromosomal anomalies or associations, the outcome is usually good, and there are even possibilities of in utero treatment. In severe conditions, with poor outcome, the couple can choose to terminate the pregnancy, after counseling is provided. Conclusion: abdominal congenital anomalies are common findings in ultrasound screenings for anomalies in all the trimesters of pregnancy and their recognition is important for subsequent management.",book:{id:"6307",slug:"congenital-anomalies-from-the-embryo-to-the-neonate",title:"Congenital Anomalies",fullTitle:"Congenital Anomalies - From the Embryo to the Neonate"},signatures:"Ples Liana and Anca Lesnic",authors:[{id:"212333",title:"Associate Prof.",name:"Liana",middleName:null,surname:"Ples",slug:"liana-ples",fullName:"Liana Ples"}]},{id:"64417",title:"Introductory Chapter: A Comprehensive Approach to the Process of Breastfeeding",slug:"introductory-chapter-a-comprehensive-approach-to-the-process-of-breastfeeding",totalDownloads:1270,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"6191",slug:"selected-topics-in-breastfeeding",title:"Selected Topics in Breastfeeding",fullTitle:"Selected Topics in Breastfeeding"},signatures:"René Mauricio Barría P",authors:[{id:"88861",title:"Dr.",name:"R. 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The objective of this chapter is therefore to systematically search the literature and analyse the available evidence including preoperative workup, prophylactic antibiotics, skin disinfection, preoperative bladder catheterization as well as details of the individual steps of the actual operation itself such as skin incision types, preparation of soft tissue and womb, removal of the placenta, cervical dilatation and stitching of the womb, peritoneum, rectus muscle, fascia, subcutaneous fat, and skin. We systematically searched for meta-analysis, systematic reviews, and big studies and evaluated the evidence for each individual step.",book:{id:"6707",slug:"caesarean-section",title:"Caesarean Section",fullTitle:"Caesarean Section"},signatures:"Jan-Simon Lanowski and Constantin S. von Kaisenberg",authors:[{id:"100660",title:"Prof.",name:"Constantin",middleName:"Sylvius",surname:"Von Kaisenberg",slug:"constantin-von-kaisenberg",fullName:"Constantin Von Kaisenberg"},{id:"240353",title:"Dr.",name:"Jan-Simon",middleName:null,surname:"Lanowski",slug:"jan-simon-lanowski",fullName:"Jan-Simon Lanowski"}]},{id:"18348",title:"Anaesthetic Considerations during Laparoscopic Surgery",slug:"anaesthetic-considerations-during-laparoscopic-surgery",totalDownloads:28897,totalCrossrefCites:1,totalDimensionsCites:5,abstract:null,book:{id:"916",slug:"advanced-gynecologic-endoscopy",title:"Advanced Gynecologic Endoscopy",fullTitle:"Advanced Gynecologic Endoscopy"},signatures:"Maria F. Martín-Cancho, Diego Celdrán, Juan R. Lima, Maria S. Carrasco-Jimenez, Francisco M. Sánchez-Margallo and Jesús Usón-Gargallo",authors:[{id:"14715",title:"Prof.",name:"Francisco M.",middleName:null,surname:"Sánchez-Margallo",slug:"francisco-m.-sanchez-margallo",fullName:"Francisco M. Sánchez-Margallo"},{id:"29449",title:"Dr.",name:"Maria Fernanda",middleName:null,surname:"Martín-Cancho",slug:"maria-fernanda-martin-cancho",fullName:"Maria Fernanda Martín-Cancho"},{id:"39772",title:"Dr.",name:"Juan R.",middleName:null,surname:"Lima",slug:"juan-r.-lima",fullName:"Juan R. 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Mesh removal by means of minimally invasive surgery in the hands of an experienced surgical team utilizing DaVinci Robotic System is a good option and may lead to best patient outcomes.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Adriana Fulginiti, Frank Borao, Martin Michalewski and Robert A. Graebe"},{id:"80782",title:"Cases of Postpartum Hemorrhage and Hysterectomy in Thailand’s Northern and Northeastern Provincial Hospitals",slug:"cases-of-postpartum-hemorrhage-and-hysterectomy-in-thailand-s-northern-and-northeastern-provincial-h",totalDownloads:34,totalDimensionsCites:0,doi:"10.5772/intechopen.102948",abstract:"PPH is a major cause of maternal death. Hysterectomy is safe to treat uncontrollable PPH. However, it may not be the best option for women who want to have children. The risk score tool to detect PPH earlier is needed in low-resource cities such as Chiang Rai and Sakon Nakhon province. This study aims to perform a risk score tool to prevent PPH in the northern and northeastern hospitals in Thailand; using mixed methods, identify risk factors for PPH from 20 articles globally and in Thailand using Med Calc, and develop the tool for prediction of PPH; and tool testing and a one-year follow-up on PPH-related hysterectomy cases. Results showed that this risk score tool can detect PPH earlier, reducing the number of PPH and hysterectomy cases. This risk score tool needs to be implemented in the same situations as hospitals to save pregnant women’s lives.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Thawalsak Ratanasiri, Natakorn I. 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Vaginal hysterectomy goes back a long way into the history of medicine. Although the first hysterectomy was carried out by Themison of Athens in the year 20 B.C., the idea of extracting the uterus through the vagina was first mentioned in 120 B.C. by Soranus of Ephesos, a distinguished obstetrician. The first elective vaginal hysterectomy was performed by J. Conrad Langenbeck in 1813. The patient was a 50-year-old multipara, who suffered from chronic pelvic pain attributed to a prolapsed uterus with a hard, bleeding tumor. The operation was carried out in challenging conditions, without anesthesia, proper instruments, or surgical assistants. Until the early 1950s, vaginal hysterectomy was the method of choice for removing the uterus. With the widespread introduction of general anesthesia and antibiotic therapy, the site of vaginal hysterectomy was taken over by abdominal hysterectomy. 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All intraoperative drawings and photographs are original.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Petre Bratila"},{id:"80400",title:"Laparoscopic Hysterectomy in Morbidly Obese Patients",slug:"laparoscopic-hysterectomy-in-morbidly-obese-patients",totalDownloads:35,totalDimensionsCites:0,doi:"10.5772/intechopen.101307",abstract:"The following chapter will focus on laparoscopic hysterectomy in morbidly obese patients. The discussion reviews the physiological changes associated with morbid obesity and the potential implications on pneumoperitoneum during laparoscopic surgery. Important considerations such as perioperative care and operating room setup are discussed. Additionally, obtaining abdominal access, reviewing the surgical approach, and post-operative considerations are all highlighted within this chapter.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Merima Ruhotina, Annemieke Wilcox, Shabnam Kashani and Masoud Azodi"},{id:"80238",title:"Surgical Site Infection after Hysterectomy",slug:"surgical-site-infection-after-hysterectomy",totalDownloads:59,totalDimensionsCites:0,doi:"10.5772/intechopen.101492",abstract:"Surgical site infections (SSIs) are associated with increased morbidity, mortality, and healthcare costs. SSIs are defined as an infection that occurs after surgery in the part of the body where the surgery took place. Approximately 1–4% of hysterectomies are complicated by SSIs, with higher rates reported for abdominal hysterectomy. Over the past decade, there has been an increasing number of minimally invasive hysterectomies, in conjunction with a decrease in abdominal hysterectomies. The reasons behind this trend are multifactorial but are mainly rooted in the well-documented advantages of minimally invasive surgery. Multiple studies have demonstrated a marked decrease in morbidity and mortality with minimally invasive surgeries. Specifically, evidence supports lower rates of SSIs after laparoscopic hysterectomy when compared to abdominal hysterectomy. In fact, the American College of Obstetricians and Gynecologist recommends minimally invasive approaches to hysterectomy whenever feasible. This chapter will review the current literature on surgical site infection (SSI) after hysterectomy for benign indications.",book:{id:"11040",title:"Hysterectomy - Past, Present and Future",coverURL:"https://cdn.intechopen.com/books/images_new/11040.jpg"},signatures:"Catherine W. Chan and Michael L. 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He has both an MS and Ph.D. in Biomedical Engineering. He was previously a research scientist at the University of California Los Angeles (UCLA) and visiting professor and researcher at the University of North Dakota. He is currently working in artificial intelligence and its applications in medical signal processing. In addition, he is using digital signal processing in medical imaging and speech processing. Dr. Asadpour has developed brain-computer interfacing algorithms and has published books, book chapters, and several journal and conference papers in this field and other areas of intelligent signal processing. He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:null},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:"Polytechnic University of Timişoara",institution:{name:"Polytechnic University of Timişoara",country:{name:"Romania"}}},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:null},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. She is a member of Indian Mathematical Society.",institutionString:null,institution:null},{id:"414880",title:"Dr.",name:"Maryam",middleName:null,surname:"Vatankhah",slug:"maryam-vatankhah",fullName:"Maryam Vatankhah",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Borough of Manhattan Community College",country:{name:"United States of America"}}},{id:"414879",title:"Prof.",name:"Mohammad-Reza",middleName:null,surname:"Akbarzadeh-Totonchi",slug:"mohammad-reza-akbarzadeh-totonchi",fullName:"Mohammad-Reza Akbarzadeh-Totonchi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Ferdowsi University of Mashhad",country:{name:"Iran"}}},{id:"414878",title:"Prof.",name:"Reza",middleName:null,surname:"Fazel-Rezai",slug:"reza-fazel-rezai",fullName:"Reza Fazel-Rezai",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"American Public University System",country:{name:"United States of America"}}},{id:"302698",title:"Dr.",name:"Yao",middleName:null,surname:"Shan",slug:"yao-shan",fullName:"Yao Shan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Dalian University of Technology",country:{name:"China"}}},{id:"125911",title:"Prof.",name:"Jia-Ching",middleName:null,surname:"Wang",slug:"jia-ching-wang",fullName:"Jia-Ching Wang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Central University",country:{name:"Taiwan"}}},{id:"357085",title:"Mr.",name:"P. Mohan",middleName:null,surname:"Anand",slug:"p.-mohan-anand",fullName:"P. Mohan Anand",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356696",title:"Ph.D. Student",name:"P.V.",middleName:null,surname:"Sai Charan",slug:"p.v.-sai-charan",fullName:"P.V. Sai Charan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"357086",title:"Prof.",name:"Sandeep K.",middleName:null,surname:"Shukla",slug:"sandeep-k.-shukla",fullName:"Sandeep K. Shukla",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Indian Institute of Technology Kanpur",country:{name:"India"}}},{id:"356823",title:"MSc.",name:"Seonghee",middleName:null,surname:"Min",slug:"seonghee-min",fullName:"Seonghee Min",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Daegu University",country:{name:"Korea, South"}}},{id:"353307",title:"Prof.",name:"Yoosoo",middleName:null,surname:"Oh",slug:"yoosoo-oh",fullName:"Yoosoo Oh",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:"Yoosoo Oh received his Bachelor's degree in the Department of Electronics and Engineering from Kyungpook National University in 2002. He obtained his Master’s degree in the Department of Information and Communications from Gwangju Institute of Science and Technology (GIST) in 2003. In 2010, he received his Ph.D. degree in the School of Information and Mechatronics from GIST. In the meantime, he was an executed team leader at Culture Technology Institute, GIST, 2010-2012. In 2011, he worked at Lancaster University, the UK as a visiting scholar. In September 2012, he joined Daegu University, where he is currently an associate professor in the School of ICT Conver, Daegu University. Also, he served as the Board of Directors of KSIIS since 2019, and HCI Korea since 2016. From 2017~2019, he worked as a center director of the Mixed Reality Convergence Research Center at Daegu University. From 2015-2017, He worked as a director in the Enterprise Supporting Office of LINC Project Group, Daegu University. His research interests include Activity Fusion & Reasoning, Machine Learning, Context-aware Middleware, Human-Computer Interaction, etc.",institutionString:null,institution:{name:"Daegu Gyeongbuk Institute of Science and Technology",country:{name:"Korea, South"}}},{id:"262719",title:"Dr.",name:"Esma",middleName:null,surname:"Ergüner Özkoç",slug:"esma-erguner-ozkoc",fullName:"Esma Ergüner Özkoç",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Başkent University",country:{name:"Turkey"}}},{id:"346530",title:"Dr.",name:"Ibrahim",middleName:null,surname:"Kaya",slug:"ibrahim-kaya",fullName:"Ibrahim Kaya",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"419199",title:"Dr.",name:"Qun",middleName:null,surname:"Yang",slug:"qun-yang",fullName:"Qun Yang",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Auckland",country:{name:"New Zealand"}}},{id:"351158",title:"Prof.",name:"David W.",middleName:null,surname:"Anderson",slug:"david-w.-anderson",fullName:"David W. Anderson",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Calgary",country:{name:"Canada"}}}]}},subseries:{item:{id:"40",type:"subseries",title:"Ecosystems and Biodiversity",keywords:"Ecosystems, Biodiversity, Fauna, Taxonomy, Invasive species, Destruction of habitats, Overexploitation of natural resources, Pollution, Global warming, Conservation of natural spaces, Bioremediation",scope:"