\r\n\tCell viability is defined as the number of healthy cells in a sample and proliferation of cells is a vital indicator for understanding the mechanisms inaction of certain genes, proteins, and pathways involved in cell survival or death after exposure to toxic agents. The methods used to determine viability are also common for the detection of cell proliferation. A cell viability assay is performed based on the ratio of live and dead cells. This assay is based on an analysis of cell viability in cell culture for evaluating in vitro drug effects in cell-mediated cytotoxicity assays for monitoring cell proliferation. Various methods are involved in performing a cell viability assay, including the dilution method, surface viable count, roll tube technique, nalidixic acid method, fluorogenic dye assay, and the Trypan Blue Cell Viability Assay. The cell viability assays can determine the effect of drug candidates on cells and be used to optimize the cell culture conditions. The parameters that define cell viability can be as diverse as the redox potential of the cell population, the integrity of cell membranes, or the activity of cellular enzymes. \r\n\tCytotoxicity is the degree to which a substance can cause damage to a cell. Cytotoxicity assays measure the ability of cytotoxic compounds to cause cell damage or cell death. Cytotoxicity assays are widely used in fundamental research and drug discovery to screen libraries for toxic compounds. The cell cytotoxicity and proliferation assays are mainly used for drug screening to detect whether the test molecules have effects on cell proliferation or display direct cytotoxic effects. In a cell-based assay, it is important to know how many viable cells are remaining at the end of the experiment. There are a variety of assay methods based on various cell functions such as enzyme activity, cell membrane permeability, cell adherence, ATP production, co-enzyme production, and nucleotide uptake activity. These methods could be classified in to different categories: (I) dye exclusion methods such as trypan blue dye exclusion assay, (II) methods based on metabolic activity, (III) ATP assay, (IV) sulforhodamine B assay, (V) protease viability marker assay, (VI) clonogenic cell survival assay, (VII) DNA synthesis cell proliferation assays and (V) Raman micro-spectroscopy. \r\n\tMedical devices have been widely used in various clinical disciplines and these devices have direct contact with the tissues and cells of the body, they should have good physical and chemical properties as well as good biocompatibility. Biocompatibility testing assesses the compatibility of medical devices with a biological system. It studies the interaction between the device and the various types of living tissues and cells exposed to the device when it comes into contact with patients.
\r\n
\r\n\t \r\n\tThe book will cover original studies, reviews, all aspects of Cell Viability and Cytotoxicity assays, methods, Biocompatibility of studies of biomedical devices, and related topics.
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1. Introduction
During the last decade, research on Autism Spectrum Disorder (ASD) has made tremendous progress with regard to early identification and diagnosis. These advances were made possible by a growing number of rigorous research studies with large sample sizes that utilized a combination of: (1) retrospective parent report and home video studies [1], (2) prospective studies of infant siblings of children with ASD [2], (3) population-wide studies of ASD screening tools [3], and (4) studies on the early stability of diagnostic classifications [4]. Advances in best practices related to early identification are reflected in a 2006 policy statement published by the American Academy of Pediatrics [5], and a corresponding set of clinical practice guidelines [6]. According to these guidelines, it is recommended that Primary Care Providers (PCPs; e.g., family physicians, pediatricians) administer formal screening tests during every well-child visit scheduled at 18 and 24 months, independent of known risk factors or reported concerns. Moreover, PCPs are urged to promptly refer children for Early Intervention
Throughout this chapter, we use capital letters when referring to the publicly funded Early Intervention system
services as soon as ASD is seriously considered.
Even though the age of first diagnosis has gradually decreased during the last decade [7], population based studies reveal that most children with ASD continue to be diagnosed after three years of age [8]. Given that a reliable diagnosis of ASD is possible by 24 months, and that about 90% of parents whose children are later diagnosed with ASD express documented concerns before age 2 [9], the gap between best practice guidelines and community implementation is tangible. This chapter outlines a sequence of four connected activities aimed at improving early identification of ASD and promoting successful referrals for Early Intervention services. For each step in the sequence, this chapter (1) describes the barriers that autism advocates, families, and PCPs face, and (2) showcases novel educational approaches that aim to promote families’ access to prompt and appropriate Early Intervention services.
Figure 1.
A sequence of four connected activities aimed at improving early identification of ASD and promoting successful referrals for Early Intervention services.
2. Raising Public Awareness about Autism
The prevalence of ASD in and of itself has heightened public awareness. What was once considered a rare condition is now reported to affect 1 in 88 children [7]. Recent data from a study that included population-wide screening procedures suggest that the true prevalence of ASD may be even higher [10]. In the case of ASD, awareness is essential because awareness promotes detection, and successful detection efforts result in earlier intervention, maximizing optimal outcomes for this population. Given that there is an average 13-month lag from initial evaluation to diagnosis, and that the average age of initial evaluation is 48 months with diagnosis occurring at 61 months [11], ASD awareness efforts are far from complete. Importantly, limited awareness of the behavioral characteristics of young children with ASD has been noted for both parents and healthcare professionals. For example, data collected in 2004 by Porter Novelli and the Centers for Disease Control and Prevention show that 63% of parents reported not knowing what behaviors most suggested ASD, and that 57% did not know the best time to get help for children with ASD [12]. These data also indicated that healthcare professionals need more information on developmental milestones and developmental disabilities in that 30% recommended that concerned parents should wait to see if their child’s development progresses, and only 41% felt they had the necessary resources to educate parents. Further, awareness campaigns continue to document a considerable gap between best practice and the behaviors of healthcare professionals [13].
2.1. Barriers to public awareness about autism
Awareness efforts are critical to improve rates of detection, access to Early Intervention services, and promote optimal outcomes. It is clear that a lack of education and access to accurate information are key barriers to ASD awareness efforts. Before addressing issues related to dissemination of information, it is important to evaluate more emotionally-hinged barriers, namely the predominance of negative and stigmatizing stories about ASD in the media and social stigma that may vary across cultures. It is unclear whether stigma and negative stereotypes interfere with people’s ability to access accurate information, whether a lack of accurate information promotes stigma and stereotypes, or whether the two are reciprocally linked.
Portrayals of ASD in the media
In addition to being a key source of entertainment and news, mass media tends to perpetuate stereotypes and social beliefs in a way that defines and maintains an existing social order [14]. Portrayals of ASD in film (e.g., Rainman, What’s Eating Gilbert Grape?), fiction (e.g., The Curious Incident of the Dog in the Night-Time [15]; Daniel Isn’t Talking [16]), and non-fiction parent accounts of ASD (e.g., Real Boy: A True Story of Autism, Early Intervention, and Recovery [17]; Let Me Hear Your Voice: A Family’s Triumph Over Autism [18]) provide an index of the general increase in ASD awareness. However, there is some disagreement as to whether these representations have a positive or negative impact on awareness efforts [19, 20]. Claims of ‘miracle cures’ for ASD that victimize vulnerable families and contribute to unrealistic perceptions of the treatability of ASD are clearly harmful [21]. Jones and Harwood provided a content analysis of 1,228 articles about ASD published from 2002 to 2005 in the Australian media [20]. This analysis revealed some interesting patterns, including a limited amount of factual information in media sources, and descriptions of people with ASD as either dangerous and uncontrollable or unloved and poorly treated. Overall there was a predominance of ‘negative’ stories about ASD including numerous references to the impact on families, difficulties with diagnosis, and criminal cases. The authors submit that the implication of this type of coverage is likely a reduction in people’s willingness to engage with individuals with ASD, creating barriers for social and educational inclusion. Further research is needed to evaluate the impact of media stereotypes of ASD on screening and early identification efforts.
Cultural representations of ASD
Vast differences in attitudes and approaches to ASD have been reported for culturally and linguistically diverse groups. For example, it has been reported that families in Korea are hesitant to seek help for their children’s developmental problems, including ASD, because they are seen as a mark of shame [22]. The effects of stigma have been evaluated for HIV/AIDS, mental illness, ASD, tuberculosis, leprosy, and cancer [23]. Social stigma relating to a condition or disorder can contribute to decreases in willingness to disclose disease status, health-seeking behavior, quality of care received, and social support [24]. Stigma may also be inadvertently perpetuated by healthcare professionals who maintain prejudice and negative stereotypes about ASD and mental health conditions [25, 26]. Cultural interpretations of disability can often be found in the context of religion. For example, a qualitative study indicated that Orthodox Jewish Israeli parents view their child with ASD as having a high spiritual status or important religious mission [27]. In contrast, almost half of the Irish families interviewed by Coulthard and Fitzgerald reported that having a child with ASD had prompted them to distance themselves from religion [28]. Cultural perspectives may also influence families’ uptake of services. For example, a general lack of trust in service providers has been described as one factor related to African American’s underutilization of mental health services [29].
Financial barriers to successful awareness campaigns
The most practical and often insurmountable barrier to effective awareness campaigns is that of financial restriction. Incredible expense is associated with communicating a message to the public, and campaigns with insufficient funding are often limited in their success. One study, for example, reported that reliance on public service announcements often leads to suboptimal time slots resulting in limitations in the delivery of the message to the intended audience [30]. Autism Speaks collaborated with the CDC and the Ad Council on the ‘Learn the Signs. Act Early.’ campaign, and initiated ‘Light It Up Blue’, a campaign to celebrate World Autism Awareness Day. In conducting these and other awareness efforts, Autism Speaks spends more than $15,000,000 annually [31].
2.2. Novel approaches to raising public awareness about autism
Bertrand and colleagues define health awareness campaigns as programs designed to communicate educational messages to promote awareness and/or behavior change to a target population through large-audience channels such as the Internet (websites and social networking sites), television, radio, and print media (magazines, billboards, and posters) [32]. Support for the effectiveness of awareness campaigns are mixed with some associated with positive behavior change [33], and others having little to no effect [34]. Further, recent events demonstrate that negative awareness campaigns may be ineffective if they are perceived as disturbing or offensive. In December 2007, the New York University Child Study Center initiated an ASD awareness campaign in New York City that utilized advertisement notices resembling ransom notes indicating that ‘We have your son. We will make sure he will no longer be able to care for himself or interact socially as long as he lives. Autism.’ The ads were immediately met with significant backlash from the disability community as many families and individuals with ASD called and emailed the center to report that the ads were offensive and hurtful. It was suggested that ads such as this would contribute more to the spread of stigma and fear than to improve awareness efforts, and as a result of this outcry the Child Study Center cancelled the awareness campaign [35].
2.2.1. The ‘Learn the signs. Act early.’ campaign
In 2004 the CDC launched an ongoing public health campaign entitled “Learn the Signs. Act Early” (LSAE; [12]). The primary target audience for the campaign is parents of children aged 4 years or less, healthcare professionals (particularly pediatricians), and early educators, including childcare providers and preschool teachers. Campaign objectives are to increase awareness of developmental milestones and early warning signs, to increase knowledge about the benefits of early action, to increase dialogue between parents and providers, and to increase early action when developmental delay is suspected. Very effectively, this campaign incorporated several key features considered crucial for promoting behavior change [36].
Using a theoretical framework to conceptualize and guide behavior change. The Transtheoretical Model was used to plot where the target audiences were in terms of a) their awareness and monitoring of developmental milestones, and b) acting early when a delay is first suspected [37]. This model assumes that the change of health-related behaviors is a multi-stage process where individuals move from precontemplation, to contemplation, to preparation, to action, and finally to maintenance. Results from surveys and focus groups revealed that, even though many parents were aware of ASD, they were not aware of relevant developmental milestones, and did not believe that ASD was particularly relevant to them (i.e., precontemplation stage). Healthcare professionals and early childhood educators showed more awareness of relevant developmental milestones, but reported that they did not routinely monitor these milestones or communicate concerns with parents [36].
Influencing the information environment. The LSAE campaign developed a comprehensive approach for providing parents of young children with accurate information. Campaign materials include factsheets on developmental milestones (in English and Spanish), a campaign website, print and web banner advertisements, television and radio public service announcements, and a 24/7 live call center (1-800-CDC-INFO). The campaign was launched with a satellite media tour with the CDC Director; the public service announcements aired in collaboration with various TV and radio networks; and the campaign materials were distributed in partnership with local grassroots organizations, private sector companies, and key advocacy organizations (e.g., Autism Society of America, Autism Speaks, and First Signs). Similarly, complex information environments were also created for healthcare professionals and early childhood educators.
Creative message framing. One of the biggest challenges for public health campaigns is to stand out in our society’s very crowded information environment, so that the message of the campaign gets sufficient exposure [36]. To increase the likelihood that the campaign messages capture the target audiences’ attention, LSAE used a creative approach for creating and delivering messages. For example, the resource kit for healthcare professionals featured a picture of a child with the background text, ‘A 4-year-old child with autism was once a 3-year-old child with autism, was once…’. Similarly, the TV public service announcement was first aired in New York’s Times Square, reaching more than 91 million people.
Creating a supportive environment to assist individuals with behavior change. To support the target audiences’ transition from contemplation to action, LSAE developed several key tools. For example, the campaign used familiar images such as a growth chart, but modified it to encourage and support the tracking of emotional, cognitive, and social development. Materials for physicians included fact sheets with milestones and red flag warning signs by age as well as informational cards to encourage doctor-parent dialogue.
Incorporating process analysis and exposure assessment. The campaign organizers utilized surveys and focus groups to understand the target audience (e.g., their knowledge, beliefs, attitudes, and behaviors) and how best to reach them. In addition, focus groups were also used to develop, test, and refine potential campaign concepts and accompanying images. Results revealed that fear-based messages that focus on the severity of ASD quickly turned parents away. Thus, instead of focusing on ‘ASD’, messages targeted the parents’ natural and strong desire to monitor their child’s growth and development. Finally, outcome surveys indicate 34% of parents reported some familiarity with the LSAE campaign. Significant changes in target parent behaviors were detected in that more parents knew of the behaviors likely to be associated with ASD, the best time to get help for ASD, and the developmental milestones their child should be reaching [38]. Similarly, substantially more healthcare professionals believe that they have the resources necessary to educate parents about monitoring child development, and fewer advocated a ‘wait and see’ approach, indicating that the marketing campaign was effective [39].
3. Implementing autism-specific screening
Both the Social Security Act [40] and the Individuals with Disabilities Education Improvement Act [41] reaffirm the mandate for PCPs to play a central role in the identification of developmental disabilities. Between birth and 2nd birthday, children are recommended to participate in a sequence of 11 preventive pediatric healthcare visits (i.e., well-child visits). In the context of these visits, healthcare professionals have a unique opportunity to develop a long-term, trusting relationship with the children and their families. Parents expect that healthcare professionals take an interest in their child’s development and behavior, competently identify strengths and weaknesses, and are able to help them access available community resources, if necessary [6].
3.1. Limitations of developmental surveillance
Developmental surveillance is defined as a “flexible, longitudinal, continuous, and cumulative process whereby knowledgeable healthcare professionals identify children who may have developmental problems” ([5] p. 407). Surveillance includes eliciting and attending to the parents’ concerns, maintaining a developmental history, making accurate and informed observations of the child, identifying the presence of risk and protective factors, and documenting the process and findings. According to the AAP recommendations on developmental surveillance and screening [5], healthcare professionals are recommended to implement developmental screening during all well-child visits. At the same time, this policy statement also asserts that developmental surveillance by itself is insufficient for detecting developmental concerns in a large number of children. Instead, the AAP recommends using a combination of developmental surveillance and formal screening tests. Research has shown that healthcare professionals who rely solely on clinical judgment are much less accurate in estimating developmental status than professionals who implement formal screening tests [42, 43]. That is, the clinical impressions of healthcare professionals tend to have excellent specificity (i.e., if children are identified, concerns tend to be valid). At the same time, their sensitivity in detection developmental delays is quite poor, leading to many un-identified children and revealing significant difficulties in detecting less obvious delays. For example, Hix-Small and colleagues [44] conducted a study where global developmental delays (at 12 and 24 months) were identified based on both, clinical impressions and a formal screening test (Ages and Stages Questionnaire, ASQ;[45, 46]). Results revealed that 48% of children with true developmental delays would have been missed if only clinical impressions were used. Similarly, in a study that aimed to identify toddlers with ASD, Robins [47] screened a total of 4,797 children, identifying 21 children who were later diagnosed with ASD. Of those 21 children, only 4 were previously red-flagged by the child’s pediatrician.
3.2. Recommended and implemented screening practices
The use of general developmental screening instruments has been recommended by the AAP since 2001 [48]. Current recommendations for identifying children with developmental disabilities (not specifically ASD) suggest population-wide screening at 9, 18, and 30 months [5]. Empirical information on the extent to which these recommendations have been implemented is limited. Two national surveys of AAP members completed in 2002 and 2009 indicate that implementation has been slow [49, 50]. When asked about their screening practices, only 23.0% (2002) and 47.7% (2009) of physicians reported that they ‘always’ or ‘almost always’ administer a formal screening tool. Since many healthcare professionals may administer standard screening tools in a non-standard manner (e.g., by asking some but not other items) or only administer these tools to patients considered ‘high risk’, these numbers likely overestimate true implementation [51]. Researchers who asked parents to report on the screening practices of their healthcare professionals found that less than 27% of parents of children between 10 to 35 months recalled completing a developmental screening questionnaire within the last 12 months [52]. Only two survey-based studies have evaluated the implementation of ASD-specific screening instruments. In a 2004 survey of 255 pediatricians licensed in Maryland and Delaware, dosReis and colleagues reported that only 8% of the respondents screened for ASD [53]. In a 2007 survey of 51 pediatricians licensed in Alabama and Mississippi, Gillis reported that 28% reported using ASD-specific screening instruments [54]. Importantly, only one pediatrician reported routine screening for ASD at 18- or 24-months, suggesting that many healthcare professionals administer ASD-specific screening tests only to children who are considered ‘high risk’.
3.2.1. Barriers to successful screening in the primary care setting
Well-child visits are often the only routine, formalized, and longitudinal contact a child has with a healthcare professional and thus is an ideal place to implement population-wide screening. Given this widely acknowledged responsibility, it is striking that many practices do not implement developmental and ASD-specific screening measures as recommended by the AAP. In the following we will consider several key barriers that interfere with healthcare professionals’ ability to implement effective screening practices.
Parental compliance with the preventive pediatric healthcare schedule
The Medical Expenditure Panel Survey provides nationally representative information on preventive care for children between 0 and 5 years of age [55]. Results indicate that the average compliance ratio is 71.3% (SD = 1.4%), indicating that on average, parents attend about 3 out of 4 AAP recommended well-child visits. In addition, findings reveal large variation in well-child visit attendance based on the families’ socioeconomic status, access to resources, and geography. That is, the compliance ratio was significantly below average if the child was without health insurance (M = 52.5%, SD = 3.8), lived below the poverty level (M = 62.8%, SD = 2.4), lived with a single parent (M = 65.5%, SD = 2.7), was Hispanic or Black (M = 64.5%, SD = 2.1, or M = 64.7%, SD = 2.9, respectively), or had parents without a high-school degree (M = 60.8%, SD = 3.1). Moreover, in terms of geography, the compliance ratio ranged between 90.9% (SD = 5.0) in New England and 51.3% (SD = 3.4) in the West South Central Census division. To account for this variability in parental compliance with the preventive pediatric care schedule, practices may be able to screen about 30% more children by flexibly administering screening measures during sick-visits, when necessary [56].
Competing priorities, time, and reimbursement constraints
During the last decade, the AAP [5, 6, 57] has published three separate statements on the early detection of developmental-behavioral problems. Recommended screenings include: (1) screening for maternal postpartum depression (in the first year), (2) broad-band developmental screening (at 9, 18, and 24/30 months), (3) ASD-specific screening (at 18 and 24 months), (4) social-emotional screening (contingent upon abnormal developmental or ASD screeners), (5) kindergarten readiness screening (at 4 years), and (6) mental health/psychological function screening (age 5 years and thereafter). Implementing such a dense screening schedule in the context of short well-child visits filled with competing priorities (e.g., vaccinations, medical surveillance), and limited reimbursement options is often noted as a key challenge by healthcare professionals [53].
Availability of high-quality screening instruments
Given that screening tools are being developed, revised, and evaluated on an ongoing basis, the AAP practice guidelines do not recommend any particular ASD-specific screening instrument [6]. Instead, the AAP guidelines include a review of several potential measures, leaving it up to the healthcare professional to select an instrument that fits the particular needs of their practice. To date, the ASD-specific screening measure that has been adopted most widely in primary care settings is the Modified Checklist for Autism in Toddlers (M-CHAT; [47, 58, 59]. The M-CHAT is a 23-item yes/no parent report screener for ASD. Screening positive (i.e., “failing”) is defined as failing any three items, or any two of six critical items. Failed items are reviewed with a follow-up interview, typically administered by phone a few weeks after the screener is completed. Most of the research evaluating the efficacy of this measure has focused on the positive predictive value (PPV), defined as the number of true positive cases divided by number of cases that screened positive. Robins reported on the screening results of 4,797 toddlers (screened during their 15-, 18-, or 24-month well-child visits) [47]. The numbers of toddlers who failed the M-CHAT questionnaire, failed the M-CHAT follow-up interview, and were eventually diagnosed with ASD, were 466, 61, and 21, respectively. Thus, if the results of the follow-up interview were considered, the M-CHAT revealed a PPV of.57. However, without the follow-up interview, the PPV of the M-CHAT was as low as.06. These estimates are consistent with data reported by Kleinman and colleagues [59], who reported PPVs of.65 and.11, depending on whether the follow-up interview was or was not considered. Based on these findings, at least three conclusions seem warranted: (1) without administering the follow-up interview, the M-CHAT is likely to over-identify children by a factor of 17:1; (2) over-identification can be dramatically reduced by administering the follow-up interview (3:1); (3) even though the sensitivity of the M-CHAT has not been evaluated, comparisons to prevalence estimates of ASD suggest that the M-CHAT is likely to miss a considerable number of children [7]. Assuming current prevalence estimates (1:88), the sample reported by Roberts [47] likely included about 55 children with ASD. Even after considering participant attrition as a factor (i.e., families who did not complete the follow-up interview or diagnostic evaluations), the number of children with ASD actually identified by the researchers (n = 21) is considerably lower than would be expected.
Limited parent literacy
The extent to which limited parent literacy interferes with the implementation of broad-band developmental and ASD-specific screening measures has not been investigated. However, data presented by Davis and colleagues suggest that limited parental literacy has the potential to pose significant obstacles, particularly in the context of practices that primarily serve indigent or immigrant communities [60, 61]. Based on a convenience sample of 396 parents from one large medical center (i.e., Louisiana State University Medical Center, Shreveport, LA), 11% and 16% of parents showed a reading level below 4th and 7th grade, respectively. Limited parental literacy may be an important factor in explaining missing data problems, reported across many population-based screening studies. For example, Hix-Small and colleagues reported that only about 54% of the administered screening questionnaires were completed and returned [44].
Need for practice-wide system change
The successful implementation of effective screening practices requires more than educational opportunities for individual staff members. Instead, what is needed is a context that supports organizational restructuring [51, 62]. That is, practices need to develop, evaluate, and refine office-wide implementation systems that divide responsibilities among staff members at multiple levels. For example, the screening instrument may be distributed by a member of the front desk staff, scored by a nurse, reviewed with the family by a provider, and possible referrals may be coordinated by a social worker. Developing such an office-wide implementation system requires an ‘internal champion’ to lead the charge, a process for collecting data to monitor progress, and a seamless integration with the clinics’ electronic medical record system. In order to be sustainable, the implementation system also needs to be sufficiently robust to be workable in the context of busy periods (e.g., the onset of the winter viral season) and staff turnover.
3.2.2. Novel approaches to support autism-specific screening practices
Research suggests that traditional methods of education, including printed educational materials and didactic, lecture-based continuing medical education (CME) sessions, have little to no effect on the behavior of healthcare professionals [63, 64]. During recent years, several alternative approaches to the traditional CME format have been suggested. These approaches include specialized modules on ASD that are included as part of pediatric residency training programs (e.g., CDC Autism Case Training) [65, 66], and academic detailing where a focused training session on early identification of ASD is presented to the entire office staff of individual practices [67]. In the following section, we will describe a third approach that has been used widely to improve the delivery of high-quality healthcare, although it has yet to be implemented with a focus on improving early detection of children with ASD.
The Breakthrough Series Collaborative Model
The Breakthrough Series Collaborative Model (BSCM) has been developed by the Institute of Healthcare Improvement (IHI, www.ihi.org) [68], and used successfully to improve the delivery of preventive services by pediatric practices [69], follow-up to newborn hearing screening [70], and child mental health service use [71]. In this model, several healthcare provider teams partner with external experts to overcome specific barriers that impede the delivery of high-quality care within their organization. Figure 2 presents the key elements of a Breakthrough Series model.
Figure 2.
Breakthrough Series Model
The breakthrough series starts with the selection of a specific topic that is considered ripe for improvement. Even though data on the efficacy of learning collaboratives to increase early identification of ASD has not been published to date, we suggest that this would be a very appropriate topic, (1) because of the high prevalence rates of ASD, and (2) because the existing knowledge in this area is sound but not widely used. Once the topic is selected, a faculty team is assembled that combines expertise in the subject area as well as an improvement advisor who coaches teams on improvement methods. Organizations elect to join the collaborative through an application process, appointing multi-disciplinary teams within the organization (a champion’s committee). The multi-disciplinary teams from all organizations are then brought together for Learning Sessions that combine the exchange of formal academic knowledge with practical voices from peers. In between the Learning Sessions, teams engage in Action Periods during which they implement change in a cyclical fashion: a) teams develop a PLAN to implement change, b) they DO the work to implement the chance, c) they STUDY their progress by measuring clinical behaviors, and d) they ACT upon the results by refining their approach (Plan-Do-Study-Act cycles of learning).
4. Communicating concerns about autism to parents
When multiple risk factors are present (e.g., the child has a family history of ASD, the child’s parents or other family members are concerned about behaviors related to ASD, the child’s pediatrician notes concerns about ASD, or the child fails an ASD-specific screener), the AAP clinical practice guidelines recommend that the child’s PCP simultaneously (1) provides parental education on ASD, (2) refers the child for a comprehensive ASD evaluation, (3) refers the child for an audiology evaluation, (4) refers the child to Early Intervention or Early Childhood Education Services, and (5) schedules a targeted follow-up visit within one month [6]. Accomplishing all five actions simultaneously is considered crucial to avoid costly delays.
Little is currently known about how parents experience autism-specific screening, parent education, and referrals provided by the child’s PCP in accordance with the AAP clinical practice guidelines. By definition, these interactions between PCP and parent precede a formal ASD diagnosis. Thus, PCPs typically communicate a certain level of uncertainty about the child’s ASD diagnosis, emphasizing that the child is considered to be at ‘high risk for ASD’, and focusing on the need for a comprehensive evaluation to ‘rule out ASD’. Even at this tentative level, communicating concerns about ASD requires initiating or engaging parents in a difficult conversation. For some parents, this conversation confirms suspicions that lay dormant for various amounts of time. For other parents, it comes out of nowhere and confronts them with concerns they had not previously contemplated. In either case, parents might not yet be emotionally ready to consider the possibility that their child has autism. Parents often feel responsible for their child’s behavior or delays, feel guilty about not noticing or acting upon these concerns more promptly, and fear the stigma all too often associated with developmental disabilities.
When prompted to reflect upon the time when their child was first diagnosed, many parents of older individuals with ASD express significant levels of discontentment, in some cases resentment and anger [72, 73]. In part, these strong emotions stem from the fact that most families experience significant delays between the time when they first note concerns [73], the time when they choose to share these concerns with their child’s physician [9, 74], the time when their child is first evaluated [11], and the time when the ASD diagnosis is first given [7, 11]. On average, parents report seeing four to five doctors before an ASD diagnosis is made, which occurs on average at age of four or five years [7, 11, 72, 73]. Parental perceptions of delay in diagnosis due to ‘watchful waiting’ are associated with (1) lower satisfaction with the diagnostic process, (2) lower satisfaction with the help physicians offer after the diagnosis, and (3) lower parental confidence in the physician’s ability to help [72, 73, 75].
Parents also express dissatisfaction with the manner in which their child’s pediatrician discussed developmental concerns and/or delivered the ASD diagnosis. For example, parents report dissatisfaction if a diagnosis is made but next steps and outcomes are not discussed [26]. Similarly, most parents of children with autism express a preference for receiving a clear ASD label rather than hearing about their child’s autism “tendencies” or “trends” [73]. This preference for sincere, prompt, and honest information, even if this means that the physician has to admit a level of uncertainty, can also be found in other medical conditions. For example, cancer patients reported the highest levels of satisfaction and the lowest levels of anxiety when they felt that their healthcare professional prepared them adequately for the diagnosis, when they felt they were being told “everything”, when the word “cancer” was used, and when their need to discuss life expectancy had been satisfied [76]. Importantly, high levels of trust in the physician has been linked to high levels of adherence to recommended behavior change [77].
4.1. Barriers to successful communication between healthcare provider and parents
The AAP clinical practice guidelines recommend that once ASD is seriously considered (i.e., due to a failed ASD-screener or multiple risk factors) the parent is promptly educated about ASD and referred for Early Intervention services. Research on the implementation of general developmental screening suggests that referral rates for children who fail such screeners vary tremendously across providers (M = 61%; range: 27% to 100%; [51]). Similarly, two descriptive studies on early identification of ASD in the healthcare setting found that referral to a clinical specialist (e.g., a developmental pediatrician) is the most likely response when autism is first suspected [53, 54]. In the absence of a simultaneous referral to Early Intervention, referral to a clinical specialist can significantly delay children’s access to services due to long waiting lists. In addition, the preference for referring families only to a clinical specialist reveals that, even in the presence of a failed ASD-screener, PCPs may often not feel ready to discuss autism with the child’s parents. The reasons why PCPs use their own clinical judgment or uncertainty to override the results from a positive screening test are currently poorly understood [78]. This being said, considering a possible ASD-specific referral requires a delicate balancing act between the PCP’s clinical judgment, tolerance for uncertainty, trust in screening tests, expectations about parental reactions, self-efficacy with regard to giving ‘bad news’ and confidence in the available service system. In the following we will describe select components of this tenuous balancing act, and discuss how each factor challenges the PCPs ability to effectively communicate with parents about autism.
Limited, outdated, or incorrect information on ASD and effective interventions
In a recent survey, PCPs reported feeling less competent providing care to children with ASD compared to children with other neurodevelopmental disorders and chronic conditions [79]. As described above, research on early identification and intervention in ASD has evolved rapidly during the last decade. Thus, PCPs may not always have access to the most current information. For example, they may be unaware of recent advances in early diagnosis, they may hold misconceptions about early red flags (e.g., they may erroneously assume that children with ASD never show affectionate behaviors), or they may not be familiar or feel passionate about the effectiveness of early intervention services [80].
Doubts about the accuracy of ASD-specific screening tests
Available ASD-specific screening tests are far from perfect. As discussed above, if the M-CHAT is administered without the follow-up interview, over-identification is likely to occur at a rate of 17:1 [47]. Several authors have emphasized the utility of second-stage autism-specific screeners in a referral setting to help prevent over-referral and effectively direct high-risk children toward comprehensive ASD evaluations [61, 81, 82]. Even though the M-CHAT follow-up interview has been developed to reduce the number of false positive screens, a feasible process for implementing this interview in the context of children’s well-child visits has not been developed. In the absence of an effective second-stage screening process, PCP’s may use their own clinical judgment to prevent over-referrals.
Expectations about parental reactions
Even though timely referrals for a comprehensive ASD evaluation and Early Intervention services are important first steps, not all parents choose to comply with their pediatricians’ referrals and pursue further evaluations [51, 75, 83]. Importantly, parental compliance rates with ASD-specific referrals tend to be lower in younger, and higher in older children. For example, Pierce and colleagues showed that 40% of parents refused a comprehensive follow-up evaluation after failing the CSBS Infant Toddler Checklist at 12 months [3]. Similarly, Pandey and colleagues reported that 37% of parents of younger children (16 to 23 months) refused a referral for a comprehensive ASD evaluation after a failed M-CHAT follow-up interview [84]. In older children (24 to 30 months), the refusal rate was only 21%. In making decisions about a child’s referrals, PCPs may gauge the likelihood of a parents’ compliance, and thus be more reluctant to make ASD-specific referrals for younger than for older children.
Lack of experience in delivering ‘bad news’ in uncertain situations
Primary care providers may be reluctant to administer population-wide screening measures for ASD if they have had little or no training in sharing bad news with patients. A review of the relevant literature in cancer has revealed that delivering difficult news can be stressful and physicians may struggle with handling their own emotions of sorrow, guilt, and feelings of failure [85]. Unsurprisingly, physicians report a desire for more training in delivering bad news [85], and physicians who have received such training have expressed increased competence in having conversations where difficult information needs to be delivered [86-88].
4.2. Novel approaches to improve communication about autism with parents
How to communicate difficult news to patients has been widely studied, particularly related to cancer. For example, Eid and colleagues [87] tested a standardized intervention to improve communication skills in hematology-oncology fellows and nurses. The fellows and nurses were tested pre-intervention via mock clinical interviews where a “patient” had to be informed of bad news concerning their cancer care. The intervention consisted of one 45-minute interactive lecture that outlined specific methodology for delivering bad news and case scenarios to highlight proper strategies. Fellows and nurses also had the opportunity to watch and score the investigators displaying ideal as well as incorrect practices for delivering bad news. A week after the intervention, fellows and nurses participated in another mock clinical interview. Both interviews were then scored using a fidelity checklist to measure skills taught during the intervention. Results indicated that fellows and nurses scored higher on the post-intervention clinical interview when compared to the pre-intervention interview; qualitatively, they also reported that the intervention improved their communication skills while delivering bad news. Similar research has demonstrated that improvements in physician communication skills are associated with improved patient outcomes, including reductions in patient distress [88] and increases in patient satisfaction with the treating physician [89].
Multi-media training materials on communicating with parents about failed ASD-screeners
Given the short history of ASD-specific screening, little research is currently available on how to effectively communicate with parents about failed ASD-specific screening tests. In recent years, at least two groups have developed multi-media training materials that support PCPs in this area. As part of the “Learn the Signs. Act Early.” campaign, the CDC developed an in-class curriculum for current and future healthcare professionals, often presented in the context of hospital Grand Rounds (http://www.cdc.gov/ncbddd/actearly/)[65]. As part of this curriculum, learners watch and discuss video examples on how to communicate with parents about concerning screening results as well as various strategies for delivering difficult news. Importantly, learners are also provided with information about the stages of grief experienced by parents of children with disabilities. Similarly, as part of a webcast series on the medical home, the Waisman Center of the University of Wisconsin-Madison developed a 10-minute webcast on sharing screening results with families (http://www.waisman.wisc.edu/connections)[90]. The webcast covers topics such as the importance of developmental screening, understanding the difference between screening and diagnosing, and considering specific language to use when sharing concerns. It also discusses why sharing screening results can be difficult, and shares specific steps to follow when sharing screening results.
5. Supporting parents between referral and onset of services
Prompt access to Early Intervention can alter the developmental trajectory of individuals with ASD. A recent clinical trial tested the efficacy of a comprehensive developmental behavioral intervention program (Early Start Denver Model) in a sample of toddlers with ASD between 18 and 30 months [91]. Results from this study revealed significant treatment effects on children’s IQ, adaptive functioning, and autism symptoms. In many ways, this comprehensive treatment model for toddlers is consistent with the report of the National Research Council, which recommends that services should begin as soon as a child is suspected of having ASD and include a minimum of 25 hours a week, during which the child is actively engaged in systematically planned, and developmentally appropriate educational activity [92-94].
Comprehensive early intervention programs, consistent with the NRC recommendations or evidence based intervention practices [92-94] are currently not widely available to families of toddlers with ASD. Significant wait-times may delay children’s prompt access to services [95]. In addition, programs are also not providing services at the recommended level of intensity. In a national survey of Early Intervention Coordinators, the vast majority of respondents indicated shortages of ASD-related personnel, including behavioral therapists (89%), speech-language pathologists (82%), and occupational therapists (79%). Further, Early Intervention Coordinators of almost half of the reporting states (44%) indicated that children with ASD receive 5 or fewer weekly service hours.
Families’ ability to effectively utilize intervention services has also been linked to a range of demographic variables, including race and ethnicity [9, 96], immigrant status and cultural beliefs [97, 98], language [68, 99, 100], and SES [101]. Further, many families face geographic barriers in accessing ASD diagnoses and services. Children have been shown to receive diagnoses of ASD at older ages when the family lives in an area with few neurologists and psychiatrists [102]. Similarly, families in remote or rural areas often travel a great distance to reach services that are not available locally [103].
5.1. PCP behaviors that contribute to delays between referral and onset of services
The current chapter focuses on the gap between best practice and community implementation with regard to early identification of children with ASD. To fully support the needs of toddlers with ASD and their families, it is important to recognize that a similar gap between ‘what we know and do’ also exists with regard to early intervention practices. Thus, to ensure that children with ASD have access to appropriate services, PCPs should be mindful of several pitfalls that may contribute to delays between referral and onset of Early Intervention services.
Parents need to be reminded about the referrals
As described above, King and colleagues collaborated with 17 primary care practices to implement the AAP policy statement on developmental surveillance and screening [51]. Although a referral-tracking system is not specifically addressed in this policy statement, King and colleagues noted that more than half of the practices (9 out of 17) attempted to implement such a system. Because most practices include multiple healthcare professionals, a clinic-wide referral-tracking system is necessary to monitor which children had been referred and where they had been referred to. On the one hand, King reported that most clinics found referral-tracking to be a “time- and labor-intensive effort that was difficult to maintain over the long-term” (p. 357). On the other hand, clinics that were successful in implementing such a tracking system learned very quickly that many families didn’t follow through with the recommended referrals, enabling them to develop strategies for providing additional reminders and supports. In addition, an effective referral-tracking system enabled the physicians to develop better communication with local referral resources and receive more consistent feedback on the children they referred.
Parents need to be educated about ASD
An additional lesson learned by clinics implementing an effective referral-tracking system was that many families did not seem to understand the reason for their child’s referral [51]. The parents’ limited understanding is concerning, not only because it reduces the chances that the parent will follow through with the pediatrician’s referral but also because a comprehensive ASD evaluation will progress more efficiently if parents are familiar with the behavioral characteristics of children with ASD and if they can report accurately about their child’s behavioral red flags of ASD [6]. Finally, by educating the parents about ASD at the time when the referral is made, families have the opportunity to prepare themselves emotionally for the evaluation and the possibility that their child may have autism.
Early Intervention administrators need to be informed that ASD is suspected
In determining eligibility for Early Intervention services, evaluations may cover multiple areas of development, including (1) physical, including vision and hearing, (2) cognitive, (3) communication, (4) social or emotional, and/or (5) adaptive. The developmental profile of many toddlers with ASD is strikingly uneven with possible strengths in physical and cognitive development and specific delays in several social and communication milestones. Given that ASD symptoms may be observed in the absence of global developmental delays, it is important that the evaluation team is specifically charged with the task to ‘rule out ASD’. If ASD symptoms are not specifically addressed during the evaluation, toddlers with ASD who also have strengths in global development may be missed and as a result may not be considered eligible for services.
5.2. Novel approaches to prevent delays between referral and onset of services
Several recent projects aiming to implement general developmental or autism-specific screening in the primary care setting found it necessary to create a dedicated staff position, a developmental or autism specialist, to provide second-stage screening services to prevent over-referral, and/or information, support, resources and referrals to families identified with developmental concerns [61, 104]. Other projects provided families with access to a developmental/autism specialist by creating a partnership with a local research group [3, 56]. Although this is a rather novel approach in the context of developmental and autism screening, the idea of a patient navigation program has been popular in other medical fields for several decades.
5.2.1. The patient navigation program
The American Cancer Society supported the nation’s first patient navigation program in 1990 at the Harlem Hospital Center. Founded by Dr. Harold Freeman, patient navigation originally aimed to promote access to timely cancer diagnosis and treatment and to ensure coordinated services by assisting patients and their families to navigate through the healthcare delivery system [105]. Ideally, patient navigators are familiar with the specific healthcare system through which the patient must navigate, culturally attuned to the patient, and connected to decision makers in the healthcare system. Patient navigation has the potential to improve the continuity of care [106], promote compliance with recommended referrals by fostering trust between patient and healthcare providers [107], and facilitate access to evaluations and services in underserved populations by connecting them to resources most appropriate for each patient’s individual needs [107]. Although a successful patient navigation program bears significant promise for promoting early identification of ASD, such a program has not been implemented to date.
6. Conclusion
During the last decade, research on early identification, diagnosis and intervention for toddlers with ASD has made tremendous progress. Moreover, during recent years, the topic of community implementation of best practice strategies has risen to the forefront. In order to develop a sustainable service infrastructure for toddlers with ASD, systems for public awareness, early identification, and early intervention need to be scaled up in tandem with updated priorities in public policy and funding allocation. Eventually, efforts to increase early identification of children with ASD will only be successful if identified children have access to effective Early Intervention services.
Acknowledgements
Preparation of this manuscript was supported by a grant from The FAR Fund. The themes of this chapter were informed by a public policy roundtable entitled ‘Toddlers with Autism in New York City’, held at the Roosevelt House Public Policy Institute at Hunter College in March 2011. Roundtable participants included: Peter H. Bell, Autism Speaks; Alice S. Carter, University of Massachusetts at Boston; Susan L. Hyman, University of Rochester; Michael Ganz, Harvard University; Barbara Kalmanson, ICDL Graduate School; Gary Mesibov, University of North Carolina at Chapel Hill; Donna M. Noyes-Grosser, NYS Department of Health; Marilyn Rubinstein, New York Presbyterian Hospital; Laura Slatkin, New York Center for Autism; Wendy Stone, University of Washington; Fred R. Volkmar, Yale University; Amy Wetherby, Florida State University. Information about the event is available online: www.hunter.cuny.edu/autismroundtable.
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Introduction",level:"1"},{id:"sec_2",title:"2. Raising Public Awareness about Autism",level:"1"},{id:"sec_2_2",title:"2.1. Barriers to public awareness about autism",level:"2"},{id:"sec_3_2",title:"2.2. Novel approaches to raising public awareness about autism",level:"2"},{id:"sec_3_3",title:"2.2.1. The ‘Learn the signs. Act early.’ campaign",level:"3"},{id:"sec_6",title:"3. Implementing autism-specific screening",level:"1"},{id:"sec_6_2",title:"3.1. Limitations of developmental surveillance",level:"2"},{id:"sec_7_2",title:"3.2. Recommended and implemented screening practices ",level:"2"},{id:"sec_7_3",title:"3.2.1. Barriers to successful screening in the primary care setting",level:"3"},{id:"sec_8_3",title:"3.2.2. Novel approaches to support autism-specific screening practices ",level:"3"},{id:"sec_11",title:"4. Communicating concerns about autism to parents",level:"1"},{id:"sec_11_2",title:"4.1. Barriers to successful communication between healthcare provider and parents",level:"2"},{id:"sec_12_2",title:"4.2. Novel approaches to improve communication about autism with parents",level:"2"},{id:"sec_14",title:"5. Supporting parents between referral and onset of services",level:"1"},{id:"sec_14_2",title:"5.1. PCP behaviors that contribute to delays between referral and onset of services",level:"2"},{id:"sec_15_2",title:"5.2. Novel approaches to prevent delays between referral and onset of services",level:"2"},{id:"sec_15_3",title:"5.2.1. The patient navigation program ",level:"3"},{id:"sec_18",title:"6. Conclusion",level:"1"},{id:"sec_19",title:"Acknowledgements",level:"1"}],chapterReferences:[{id:"B1",body:'Ozonoff, S., Iosif, A.M., Young, G.S., Hepburn, S., Thompson, M., Colombi, C., et al. Onset Patterns in Autism: Correspondence between Home Video and Parent Report. 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"Breaking Bad News": Standardized Patient Intervention Improves Communication Skills for Hematology-Oncology Fellows and Advanced Practice Nurses. Journal Of Cancer Education: The Official Journal Of The American Association For Cancer Education 2009;24(2): 154-159.'},{id:"B88",body:"Roter, D.I., Hall, J.A., Kern, D.E., Barker, L., Cole, K.A., and Roca, R.P. Improving Physicians' Interviewing Skills and Reducing Patients' Emotional Distress: A Randomized Clinical Trial. Archives of Internal Medicine 1995;155(17): 1877-1884."},{id:"B89",body:'Delvaux, N., Razavi, D., Marchal, S., Bredart, A., Farvacques, C., and Slachmuylder, J.L. Effects of a 105 Hours Psychological Training Program on Attitudes, Communication Skills and Occupational Stress in Oncology: A Randomised Study. Br J Cancer 2004;90(1): 106-114.'},{id:"B90",body:'Waisman Center of the University of Wisconsin-Madison, Wisconsin Medical Home Webcast Series. 2011. 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Practices in Early Intervention for Children with Autism: A Comparison with the National Research Council Recommended Practices. Education and Training in Autism and Developmental Disabilities 2010;45(1): 150-159.'},{id:"B96",body:'Mandell, D.S., Wiggins, L.D., Carpenter, L.A., Daniels, J., DiGuiseppi, C., Durkin, M.S., et al. Racial/Ethnic Disparities in the Identification of Children with Autism Spectrum Disorders. American Journal of Public Health 2009;99(3): 493-498.'},{id:"B97",body:'Lindsay, S., King, G., Klassen, A.F., Esses, V., and Stachel, M. Working with Immigrant Families Raising a Child with a Disability: Challenges and Recommendations for Healthcare and Community Service Providers. Disability Rehabilitation 2012;34(23):2007-17.'},{id:"B98",body:'Welterlin, A. and LaRue, R.H. Serving the Needs of Immigrant Families of Children with Autism. Disability & Society 2007;22(7): 747-760.'},{id:"B99",body:'Williams, M.E., Atkins, M., and Soles, T. Assessment of Autism in Community Settings: Discrepancies in Classification. Journal of Autism and Developmental Disorders 2009;39(4): 660-669.'},{id:"B100",body:'Kim, C., Disare, K., Pfeiffer, M., Kerker, B.D., and McVeigh, K.H. Effects of Individual and Neighborhood Characteristics on the Timeliness of Provider Designation for Early Intervention Services in New York City. Journal of Developmental and Behavioral Pediatrics 2009;30(1): 38-49.'},{id:"B101",body:'Durkin, M.S., Maenner, M.J., Meaney, F.J., Levy, S.E., DiGuiseppi, C., Nicholas, J.S., et al. Socioeconomic Inequality in the Prevalence of Autism Spectrum Disorder: Evidence from a US Cross-Sectional Study. Plos One 2010;5(7).'},{id:"B102",body:'Kalkbrenner, A.E., Daniels, J.L., Emch, M., Morrissey, J., Poole, C., and Chen, J.-C. Geographic Access to Health Services and Diagnosis with an Autism Spectrum Disorder. Annals of Epidemiology 2011;21(4): 304-310.'},{id:"B103",body:'Gething, L. Sources of Double Disadvantage for People with Disabilities Living in Remote and Rural Areas of New South Wales, Australia. Disability & Society 1997;12(4): 513-531.'},{id:"B104",body:'Shannon, P. and Anderson, P.R. Developmental Screening in Community Health Care Centers and Pediatric Practices: An Evaluation of the Baby Steps Program. Intellectual and Developmental Disabilities 2008;46(4): 281-289.'},{id:"B105",body:'Freeman, H.P. Patient Navigation: A Community Centered Approach to Reducing Cancer Mortality. Journal of Cancer Education 2006;21: S11-14.'},{id:"B106",body:'Bradford, J.B., Coleman, S., and Cunningham, W. HIV System Navigation: An Emerging Model to Improve HIV Care Access. AIDS Patient Care STDS 2007;21 Suppl 1: S49-58.'},{id:"B107",body:'Natale-Pereira, A., Enard, K.R., Nevarez, L., and Jones, L.A. The Role of Patient Navigators in Eliminating Health Disparities. Cancer 2011;117(15): 3543-3552.'}],footnotes:[{id:"fn1",explanation:"Throughout this chapter, we use capital letters when referring to the publicly funded Early Intervention system"}],contributors:[{corresp:"yes",contributorFullName:"Michael Siller",address:"msiller@hunter.cuny.edu",affiliation:'
Psychology Department, Hunter College of The City University of New York, New York, USA
Graduate Center, The City University of New York, New York, USA
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1. Introduction
The high and volatile commodity prices are caused by unanticipated changes demand and supply [1]. These volatile prices put cost pressure on mining organization to optimize operations. The availability and utilization of mining equipment’s, is the major contributor for an organization to manage costs and supply disruptions.
Traditionally, maintenance activity for mining equipment, relies on a series of time based or equipment running hours based checks for scheduling maintenance activities. The fourth industrial revolution provide organizations with a balanced approach to reduce costs with safety. As new technologies get deployed, the operations and maintenance landscape is continually being digitized by mechanization, automation, industrial internet of things (IIoT) and IT-OT (information technology – operational technology) integration. These technologies provide visibility to real time operations data. Analysing the data with artificial intelligence (AI) adds the ability to predict and respond to operational disruptions, for example – predict the next failure date of the asset and provide perspective guidance for maintenance. Further, optimization adds the capability to synchronizing the scheduled, predicted maintenance activity with production schedule to minimize the maintenance costs and production losses.
Ant colony optimization (ACO) [2, 3] is a metaheuristic for solving hard combinatorial optimization problems. This was proposed by Dorigo et al., inspired from the behaviour of real ants, which use pheromones as a communication medium to find the shortest path to food from the colony. Analogous to the biological example, ACO is based on indirect communication within a colony of simple agents, called (artificial) ants, mediated by (artificial) pheromone trails. In ACO algorithms there are several generations of artificial ants which search for good solutions. In each generation, each ants find a solution by going step by step through many probabilistic decision till a solution is found. Ants that found good solutions put some amount of pheromone on the edges of path to mark their path. This will help attract the next generation of ants to find solutions near the good space. Generally pheromone values of ants are guided by the specific heuristic that is used for evaluating decisions.
In this chapter, we will focus on the framework for optimizing the preventive maintenance, predictive maintenance and production schedule. The first section will cover the maintenance strategies and framework. The second section will give a brief overview of the ACO. The third section will cover the maintenance solution framework for mining equipment’s. In the last section we will conclude our recommendations for mine equipment maintenance scheduling.
2. Maintenance strategies and framework
The systematic, optimally sequenced activities and framework, through which mining companies can sustainably manage their equipment, its performance, risks and operating expenses over their entire life cycle, for the purpose of achieving its organizational objectives and plan, can be defined as an enterprise asset management. Mining equipment maintenance requires series of checks by the equipment operator, for better diligence apart from unscheduled fixes. The frequency is dependent on the combination of equipment performance and the running hours in a specified time interval.
Maintenance costs can be upto 30% of direct costs [4] and more in terms of operations disruptions. To control maintenance costs, mining organization have centred their efforts on areas such as optimizing scheduled maintenance operations, deferring nonessential maintenance, reducing maintenance manpower, controlling inventories of spare parts even more adequately, and using contract maintenance support [5]. Below all the maintenance types, which are performed by the maintenance team at varied frequency depending on the nature of inputs from various sources are described
2.1 Regular maintenance—Type I
The first daily checks and safety practices are mandated by the OEM and occur the start of every shift or during operator changes. These proactive checks involve the inspection of all major system parameters such as engine temperature, tyre pressures, oil levels and control surfaces and are performed at the mine site itself. These checks can be part of the total productive maintenance (TPM) strategy and incorporates activities and actions performed by equipment operators with the intention of to ensure failure-free operations, fewer breakdowns and efficiency [6].
2.2 Preventive maintenance—Type II
Routine planned maintenance is about avoiding, reducing or eliminating the consequences of failures. The frequency of performance-based maintenance is done primarily on performance (running hours, KM run) of the equipment, time based (weekly, monthly, quarterly, yearly, and multiple of years) or as recommended by OEM and updated time to time.
The determination of inspection intervals is based on the reliability level to prevent potential catastrophic failures that augments extensive maintenance and increased downtime costs. The insights are considered to develop a preventive maintenance plan that is based on the deterioration of equipment key components and renewed life after repair [7]. The mechanical parts deterioration factors depend on multiple factors which are wear and tear, corrosion, operational fatigue and weather, and operator skills. This deterioration is a continuous process which is time and usage dependent [8].
2.3 Breakdown or corrective maintenance—Type III
The unscheduled breakdown has a major impact in both – production and expedited maintenance costs. Furthermore, the ability to fix it right first time is fundamental to ensure equipment is back to operation quickly. The core objective for repairing the equipment is in less time, with higher accuracy and support maintenance technicians to diagnose the failure properly is key for improved utilization. The breakdown and corrective maintenance require timely availability of spares and management of spares just in time is one of the main challenges of delay in maintaining of the equipment.
Condition based maintenance (CBM) provides the insights of the equipment component, either real time or at a specific frequency to analyse the condition for effective decision making for dynamic corrective maintenance schedule for restoration. CBM insights can be utilized either for preventive or corrective maintenance depending on the organizational maintenance strategy [9].
2.4 Overhaul and shutdown maintenance—Type IV
This type of maintenance is mostly capital in nature and performed at relatively large intervals. It may be done for several reasons due to severe break- down, accident or to overhaul the entire equipment to enhance the useful life of the equipment. This overhaul or shutdown maintenance is managed as a project with procurement of spare parts and maintenance activities are scheduled and synchronized as per the timeline agreed upon. Overhaul is complete check and review of the mining equipment and depends on the performance of the equipment or between the mid to end of useful life to enhance the useful life of the equipment. This type of maintenance is performed mostly on the large equipment for example, dragline and shovels. This maintenance can run up-to multiple months and are managed as a project with a sequence of activities and schedules, to minimize equipment downtime.
2.5 Predictive maintenance—Type V
This type of maintenance is performed based on accurate prediction when an equipment or any of its components are going to fail. If the prediction attribute is derived the maintenance can be executed just before such failure is predicted to occur.
There are systems like vehicle health monitoring system (VHMS) which provide, frequency-based sample data about the equipment performance for example, running hours, speed, rpm, load, engine temperature, payload so on and so forth. Similarly, weather related data is collected through weather application programming interface (API), which helps to understand the impact of ambient temperature, precipitation, humidity etc. on the equipment performance. The main idea behind the IIoT is to connect computers, devices, sensors, and industrial equipment and applications within an organization and to continually collect data, such as system errors and machine telemetry, from all of these with the aim of analysing and acting on this data in order to optimize operational efficiencies. Predictive maintenance is more effective than performing preventive maintenance at frequent intervals, which could also be costlier because unnecessary maintenance may be applied on equipment.
The above types of maintenance strategies help organization to develop a comprehensive maintenance framework to maximize value and realise benefits. Specifically for mining equipment, the maintenance planning can be done at
Workshop—typically for moving equipment like dump trucks, haulers, dozers, graders, and wheel loaders
Onsite at mine—typically for large slowly/non-movable, equipment like dragline, large shovels
2.6 Strategies and framework
Overall, maintenance affects, all aspects of business efficacy, safety, environmental impact, energy efficiency, product quality, customer service, plant availability and cost. Many times scheduled maintenance activity is seldom integrated with the production [10] which leads to unplanned production losses due to planning of scheduled and preventive maintenance activities.
Therefore, the selection of the right maintenance framework plays a significant role in preserving the functions of the equipment and supporting mining organization value drivers:
Improve revenue—increased asset availability and greater reliability in line with production schedule i.e. grow more revenue from the same asset base
Reduce operating costs and expenses—more timely and precise interventions, increase asset life, less downtime, high utilization
In order to achieve these benefits, efficient combination of preventive (Type II) and predictive maintenance (Type V) with production schedule is required to reduce the overall maintenance execution time and maximize production.
3. Understanding ant colony optimization
Ant colony optimization (ACO) was inspired by the observation of the behaviour of real ants. Real ants, which use pheromones as a communication medium to find the shortest path to food from the colony [11]. As in the case of real ants, the problem is to find the food, in the case of artificial ants, it is to find a good solution to a given optimization problem.
One ant (either a real or an artificial one) can find a solution to its problem, but only cooperation among many individual ants through stigmergy enables them to find good solutions [12]. In real ants stigmergic communication happens via the pheromone that ants deposit on the ground. Artificial ants live in a virtual world, hence they only modify numeric values (called for analogy artificial pheromones) associated with problem states they visit while building solutions to the optimization problem. Real ants simply walk, choosing a direction based on local pheromone concentrations and a stochastic decision policy. Artificial ants also create solutions step by step, moving through available problem states and making stochastic decisions at each step.
The ACO metaheuristics has an initialization step and then a loop over three basic components. In one iteration of the loop, there are steps to construct the solution by all ants, improve (optional) the solutions with local search also and then an update of the pheromones.
Algorithm for ant colony optimization metaheuristic
Set initial values and initialize pheromone trails
while
termination conditions not met do
Construct Ant Solutions
Apply Local Search {optional}
Update Pheromones
end while
In the next section ACO is explained using travelling salesman problem example.
3.1 Example: the traveling salesman problem
Travelling salesman problem (TSP) can be easily applied to the Ant colony optimization. In this problem, there are a set of locations (cities) where the travelling salesman has to visit. The key constraints are to visit each location and visit only once. The distance between cities (locations) are given and the objective is to find the shortest distance between them.
In the example below, there are four cities, c1, c2, c3 and c4. The lengths of the edges between vertices is proportional to the distance between cities i.e. c13 is the distance between city 1 and city 3.
The pheromone is associated with the edges of the graph. Each ant starts from a randomly selected city and then at each construction step it moves along the edges of the graph. An ant chooses probabilistically the edge to follow among the available ones (those that lead to yet unvisited vertices).
3.1.1 Sample equation for implementation
pcijsp=λαij·ηcijβ∑cij∈Nspλαij·ηcijβc,∀cij∈Nsp.E1
where pheromone value associated with the component cij isλij. Function that assigns at each construction step a heuristic value to each feasible solution component cij∈N(sp) is η(·) which is commonly called heuristic information. Positive parameters, whose values determine the relative importance of pheromone versus heuristic information are α and β.
The solution is constructed once the ant has visited all the vertices of the graph. When all the ants have constructed the solutions by visiting the vertices of the graph, pheromone levels on the edges are updated positively for good solutions and reduced for the bad solutions. The update function, typically does two things one is to increase the pheromone values for set of good solutions and second is to reduce the pheromone value by implementing an evaporation function. This helps to avoid rapid convergence of the algorithm and helps in the exploration of new areas.
3.1.2 Sample equation for pheromone update
λij←1−ρτij+ρ∑s∈Supd∣cij∈sFsE2
where set of solution that are used for update areSupd, the parameter that is called for evaporation rate is ρ∈(0,1], and F : S → R+0 a function such that f(s) < f(s′) => F(s) ≥ F(s′),∀s≠s′∈S. F(·) is commonly called the fitness function.
Ant colony optimization has been shown to perform quite well on the TSP [13].
3.2 Other applications of ACO: Scheduling problems
ACO has been used for many applications including scheduling problem, vehicle routing problem, assignment problem, set problem, device sizing problem in nanoelectronics physical design, antennas optimization and synthesis, image processing. In this chapter our focus is on the scheduling problems.
In scheduling problems, jobs have to be processed on one or many machines such that some objective function is optimized. For these problems the following is true (a) the processing time of jobs is known beforehand and (b) processes of jobs cannot be interrupted. Typically the construction graph for scheduling problems is represented by the set of jobs (for single-machine problems). Some of the key research papers published for scheduling problems are:
Single-machine total tardiness problem with sequence dependent setup times (SMTTPDST) [21]
Single machine total tardiness problem (SMTTP) [22]
Resource-constrained project scheduling problem (RCPSP) [23]
Single machine total weighted tardiness problem (SMTWTP) [24, 25, 26]
Out of the above scheduling applications, the SMTWTP has the best application for our maintenance schedule. In the subsequent sections, SMTWTP is described in greater detail for developing the optimal schedule for maintenance of mining equipment’s.
4. Maintenance solution framework
The optimized maintenance scheduling framework is recommended to be built using ant colony optimization model using structured content found in a typical maintenance ecosystem.
The first step is to predict the failure based on survival analysis, with certain confidence level before its occurrence. The next step is to combine the predictive maintenance and preventative maintenance schedule using optimization model. This optimization model determines which equipment should be assigned to which day in the maintenance workshop bay for minimizing waiting time, maximizing production and ultimately increase the availability.
In the solution framework, two types of maintenance activities are considered: first preventive maintenance which is based on the recommendation of OEM. The second maintenance is predictive maintenance which is based on probabilistic failure. The next section will cover the derivation of predictive maintenance schedule.
4.1 Predictive maintenance schedule
The predictive maintenance schedule is derived from Cox regression model which gives survival probability distribution function. The Cox regression model is shown in below
Ht=H0texp(β1Y1+β2Y2+⋯+βnYnE3
Where the expected hazard is H(t) at time t, the baseline hazard is H0(t) and it represents the hazard when all of the independent variables) Y1,Y2,...Yn when they are equal to zero. Based on the collected data the model estimates β1,β2,...βn.
The expected hazard function increases as the days progress. This function is converted to survival days and remaining useful life (RUL). RUL is defined as the duration left for the occurrence of breakdown based on the probability threshold of failure i.e. how many days when the cumulative probability falls below 60%. The RUL has been extensively used in calculating the reliability-based research in the mine system to derive the occurrence of the failure, so the appropriate action can be taken proactively
This survival data (predictive failure day) is used in combination with the preventive maintenance, production schedule and other constraints to optimizing the maintenance schedule.
4.2 Optimization of maintenance schedule
The optimization of maintenance schedule requires to determine the optimal maintenance day for each truck in a time horizon so that the maintenance time, production loss is minimised while meeting the preventative maintenance schedule requirements and minimizing the probability of failure (predictive maintenance – survival days). In the above sections we discussed on the application of ACO in the context of SMTWTP.
In order to formulate the problem using SMTWTP, it is assumed that there is one workshop and it has one bay for carrying out maintenance activities (single machine). One truck is represented as one job and a fleet has n trucks which need to be scheduled for maintenance. Based on historical analysis, the time for each job i.e. time for carrying out maintenance activities is available (processing time pj). The due date (dj) of processing is provided by the preventive maintenance schedule for each job (truck). The completion time of job j is defined as Cj. The earliness of job is defined as Ej, if the job is completed early and the tardiness of job is defined as Tj, if the job is completed late. The probability of failure (fj) at Cj is provided by the predictive maintenance schedule (RUL). The cost functions (w) for earliness and lateness take the probability of failure (fj) into consideration.
The objective is to find the truck fleet maintenance scheduling sequence that minimizes the function as below.
1∣dj∣∑w_jEj+w¯jTjE4
where
dj – due date of job (preventative maintenance scheduled day for truck)
w_j – unit cost of earliness i.e. cost of maintenance too early based
Ej = max{0,dj−Cj}; earliness of job
Tj = max{0,Cj−dj}; tardiness of job
w¯j – unit cost of tardiness i.e. cost of lost production if failure before maintenance (fj)
N = {1,...,n}; n trucks (jobs) have to be sequentially processed (1 job = 1 truck maintenance activities) at workshop (1 bay)
This function can be modelled to minimizes the total weighted earliness tardiness (z) as below
z=min∑j∈Nw_jEj+w¯jTjE5
Mainly there are three key requirements of the ACO algorithm.
A construction graph – The construction graph consist of C components for the n jobs that need to be assigned at the optimal positions. In the graph each points is connected by L arcs.
Problem constraints – The main constraint is that all the jobs have to be scheduled and scheduled only once.
Update pheromone trails – This refer to the attractiveness of scheduling or assigning the job j to position i.
Applying the ACO algorithm, in the initialization step, a colony A of m ants is generated, where each ant corresponds to a random feasible solution. The next is the iterative step where the acquired knowledge (pheromone level) is fetched and job assignment attractiveness is calculated. Next the ant generations are merged and only the best ants are retained for the optimal solution. Lastly pheromone evaporation and deposit are updated and the process continues till the maximum number of Generations are reached.
ACO pseudo code
Input parameters
N, is a set of n trucks (jobs that need to be processed in workshop)
C, the number of colonies
n, the number of ants in the colony (i.e. size)
Output solution
A (near) global optimum S* of cost za∗
Steps
Setup
Initialize the generation counter g=0
Create an initial colony A of size n
Set the best solution S* to the ant a ∈ A with the least weighted earliness tardiness
Initialize the pheromone level ρ(0) using a subset of the colony A, and set ρ(1) =ρ (0)
Loop Step
Set g=g+1
Build colony of ants while taking into account for knowledge acquiredρ (g) and attractivenessη (g), and apply a dynamic visibility function
Merge colonies of generations g and (g−1), and retain the best n ants
Update optimal solution S*
Update the pheromone level ρ(g+1) by accounting for the evaporation and deposit
Stopping Criterion
If g<C, then go-to Step 2.
At the end of step 2.3 to further enhance quality of the solution i.e. the retained n ants and speed up the convergence towards near optimal solution, a local search criteria can be applied. Hybrid approaches with local search criterial include beam search [20], scatter search, tabu search [27], threshold accepting [28], and neighbourhood search [29]. These search criteria help to efficiently guide the ants movements towards global optima. In the paper by M’Hallah and Alhajraf [30] ant colony systems for the single-machine total weighted earliness tardiness scheduling problem, they provide empirical evidence of using variable neighbourhood search (VNS) to improve the overall quality of the retained ants and converge towards a near global optimum.
By applying ACO to SMTWTP, the total cost for early or late maintenance is reduced by optimally assigning the truck to the workshop for maintenance activities based on the preventive maintenance schedule and predicted maintenance (RUL).
5. Conclusion
In this chapter, the importance of optimally planning maintenance activities for mining organization was discussed. A solution framework for optimizing the preventive maintenance, predictive maintenance and production schedule was proposed using ant colony optimization. Many mining organization can benefit by using this solution framework to reduce the overall maintenance costs and production losses.
As mining companies adopt and implement Industry 4.0, this maintenance solution framework has the potential to evolve beyond maintenance schedules to allocation of ore to customer demand, planning truck routing, and even to mine planning. ACO as part of the wider Swarm intelligence algorithms presents the capacity to achieve Industry 4.0 vision, where individual machines cooperate through self-organization, that is, without any form of central control to achieve the organization KPIs.
Conflict of interest
The views expressed in this chapter are my own and are not representative of my employer.
\n',keywords:"ant colony optimization, predictive maintenance, preventive maintenance, mining, schedule, optimizing mining equipment schedule",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/81105.pdf",chapterXML:"https://mts.intechopen.com/source/xml/81105.xml",downloadPdfUrl:"/chapter/pdf-download/81105",previewPdfUrl:"/chapter/pdf-preview/81105",totalDownloads:20,totalViews:0,totalCrossrefCites:0,dateSubmitted:"February 2nd 2022",dateReviewed:"February 7th 2022",datePrePublished:"April 4th 2022",datePublished:"May 11th 2022",dateFinished:"April 4th 2022",readingETA:"0",abstract:"The fourth industrial revelation has brought exponential technologies in the area of digitization, internet of things (IOT), artificial intelligence (AI), and optimization which has helped mining companies to increase the availability and utilization of equipment’s. As mining companies implement predictive maintenance technologies, to improve overall equipment availability, there is more value to be unearthed if predictive maintenance is optimized with the production schedules. Ant colony optimization (ACO) is a metaheuristic that is inspired from the behavior of real ants to solve combinatorial optimization problems. This chapter describes an innovative maintenance scheduling framework in the context of optimizing schedules for preventive maintenance and predictive maintenance, with multiple constraints for optimized dynamic schedule to reduce the maintenance time, and production losses.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/81105",risUrl:"/chapter/ris/81105",signatures:"Abhishek Kaul",book:{id:"10400",type:"book",title:"The Application of Ant Colony Optimization",subtitle:null,fullTitle:"The Application of Ant Colony Optimization",slug:"the-application-of-ant-colony-optimization",publishedDate:"May 11th 2022",bookSignature:"Ali Soofastaei",coverURL:"https://cdn.intechopen.com/books/images_new/10400.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83968-177-6",printIsbn:"978-1-83968-176-9",pdfIsbn:"978-1-83968-178-3",isAvailableForWebshopOrdering:!0,editors:[{id:"257455",title:"Dr.",name:"Ali",middleName:null,surname:"Soofastaei",slug:"ali-soofastaei",fullName:"Ali Soofastaei"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"331237",title:"Mr.",name:"Abhishek",middleName:null,surname:"Kaul",fullName:"Abhishek Kaul",slug:"abhishek-kaul",email:"abhishekkaul@gmail.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Indian Institute of Technology Kharagpur",institutionURL:null,country:{name:"India"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Maintenance strategies and framework",level:"1"},{id:"sec_2_2",title:"2.1 Regular maintenance—Type I",level:"2"},{id:"sec_3_2",title:"2.2 Preventive maintenance—Type II",level:"2"},{id:"sec_4_2",title:"2.3 Breakdown or corrective maintenance—Type III",level:"2"},{id:"sec_5_2",title:"2.4 Overhaul and shutdown maintenance—Type IV",level:"2"},{id:"sec_6_2",title:"2.5 Predictive maintenance—Type V",level:"2"},{id:"sec_7_2",title:"2.6 Strategies and framework",level:"2"},{id:"sec_9",title:"3. Understanding ant colony optimization",level:"1"},{id:"sec_9_2",title:"3.1 Example: the traveling salesman problem",level:"2"},{id:"sec_9_3",title:"3.1.1 Sample equation for implementation",level:"3"},{id:"sec_10_3",title:"3.1.2 Sample equation for pheromone update",level:"3"},{id:"sec_12_2",title:"3.2 Other applications of ACO: Scheduling problems",level:"2"},{id:"sec_14",title:"4. Maintenance solution framework",level:"1"},{id:"sec_14_2",title:"4.1 Predictive maintenance schedule",level:"2"},{id:"sec_15_2",title:"4.2 Optimization of maintenance schedule",level:"2"},{id:"sec_17",title:"5. Conclusion",level:"1"},{id:"sec_21",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Commodity Price Volatility. Available from: https://treasury.gov.au/sites/default/files/2019-03/01_Commodity_price_volatility.pdf [Accessed: 27 December 2021]'},{id:"B2",body:'Dorigo M, Di Caro G. The ant colony optimization meta-heuristic. In: Corne D, Dorigo M, Glover F, editors. New Ideas in Optimization. London, UK: McGraw Hill; 1999. pp. 11-32'},{id:"B3",body:'Dorigo M, Di Caro G, Gambardella LM. Ant algorithms for discrete optimization. Artificial Life. 1999;5(2):137-172'},{id:"B4",body:'Henderson K, Pahlenkemper G, Kraska O. Integrated asset management—An investment in sustainability. Procedia Engineering. 2014;83:448-454. DOI: 10.1016/j.proeng.2014.09.077'},{id:"B5",body:'Unger EJ. An Examination of the Relationship Between Usage and Operating and Support Costs for Air Force Aircraft. Santa Monica, CA: RAND Corp.; 2007'},{id:"B6",body:'Brodny J, Tutak M. Application of elements of TPM strategy for operation analysis of mining machine. In: IOP Conference Series: Earth and Environmental Science journal. Vol. 95. IOP Publishing; 2017. p. 42019. Available from: https://iopscience.iop.org/article/10.1088/1755-1315/95/4/042019'},{id:"B7",body:'Angeles E, Kumral M. Optimal inspection and preventive maintenance scheduling of mining equipment. Journal of Failure Analysis and Prevention. 2020:1-9. DOI: 10.1007/s11668-020-00949-z. Available from: https://www.researchgate.net/publication/343413414_Optimal_Inspection_and_Preventive_Maintenance_Scheduling_of_Mining_Equipment'},{id:"B8",body:'Changyou L, Haiyang L, Song G, Yimin Z, Zhenyuan L. Gradual reliability sensitivity analysis of mechanical part considering preventive maintenance. Advances in Mechanical Engineering. 2014;6:829850'},{id:"B9",body:'Marseguerra M, Zio E, Podofillini L. Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation. Reliability Engineering & System Safety. 2002;77(2):151-165'},{id:"B10",body:'Liao W, Pan E, Xi L. Preventive maintenance scheduling for repairable system with deterioration. Journal of Intelligent Manufacturing. 2010;21(6):875-884'},{id:"B11",body:'Deneubourg J-L, Aron S, Goss S, Pasteels J-M. The self- organizing exploratory pattern of the argentine ant. Journal of Insect Behavior. 1990;3:159'},{id:"B12",body:'Dorigo M, Socha K. An introduction to ant colony optimization. IRIDIA—Technical Report Series. 2006'},{id:"B13",body:'Stützle T, Dorigo M. ACO algorithms for the traveling salesman problem. In: Miettinen K, Mäkelä MM, Neittaanmäki P, Périaux J, editors. Evolutionary Algorithms in Engineering and Computer Science. New York: Wiley; 1999. p. 163'},{id:"B14",body:'Blum C. ACO applied to group shop scheduling: A case study on intensification and diversification [permanent dead link]. In: Proceedings of ANTS 2002. Vol. 2463 of Lecture Notes in Computer Science. 2002. pp. 14-27'},{id:"B15",body:'Gambardella LM, Dorigo M. An ant colony system hybridized with a new local search for the sequential ordering problem. INFORMS Journal on Computing. 2000;12(3):237-255'},{id:"B16",body:'Martens D, De Backer M, Haesen R, Vanthienen J, Snoeck M, Baesens B. Classification with Ant Colony Optimization. IEEE Transactions on Evolutionary Computation. 2007;11(5):651-665'},{id:"B17",body:'Donati AV, Darley V, Ramachandran B. An ant-bidding algorithm for multistage flowshop scheduling problem: Optimization and phase transitions. In: Advances in Metaheuristics for Hard Optimization. Springer; 2008. pp. 111-138. Available from: https://www.springerprofessional.de/en/an-ant-bidding-algorithm-for-multistage-flowshop-scheduling-prob/2812100'},{id:"B18",body:'Stützle T. An ant approach to the flow shop problem. Technical Report AIDA-97-07. 1997'},{id:"B19",body:'Pfahring B. Multi-agent search for open scheduling: Adapting the ant-Q formalism. Technical Report TR-96-09. 1996'},{id:"B20",body:'Blem C. Beam-ACO, hybridizing ant colony optimization with beam search. An application to open shop scheduling. Technical Report TR/IRIDIA/2003-17. 2003'},{id:"B21",body:'Gagné C, Price WL, Gravel M. Comparing an ACO algorithm with other heuristics for the single machine scheduling problem with sequence-dependent setup times. Journal of the Operational Research Society. 2002;53:895-906'},{id:"B22",body:'Bauer A, Bullnheimer B, Hartl RF, Strauss C. Minimizing total tardiness on a single machine using ant colony optimization. Central European Journal for Operations Research and Economics. 2000;8(2):125-141'},{id:"B23",body:'Merkle D, Middendorf M, Schmeck H. Ant colony optimization for resource-constrained project scheduling. In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2000). 2000. pp. 893-900. DOI: 10.5555/2933718.2933886'},{id:"B24",body:'den Besten M. Ants for the single machine total weighted tardiness problem [master’s thesis]. University of Amsterdam; 2000. Available from: https://www.academia.edu/9009128/An_Ant_Colony_Optimization_Application_to_the_Single_Machine_Total_Weighted_Tardiness_Problem'},{id:"B25",body:'den Bseten M, Stützle T, Dorigo M. Ant colony optimization for the total weighted tardiness problem. In: Proceedings of PPSN-VI, Sixth International Conference on Parallel Problem Solving from Nature. Vol. 1917 of Lecture Notes in Computer Science. 2000. pp. 611-620. DOI: 10.5555/645825.669098'},{id:"B26",body:'Merkle D, Middendorf M. An ant algorithm with a new pheromone evaluation rule for total tardiness problems. In: Real World Applications of Evolutionary Computing. Vol. 1803 of Lecture Notes in Computer Science. 2000. pp. 287-296'},{id:"B27",body:'Huang KL, Liao CJ. Ant colony optimization combined with taboo search for the job shop scheduling problem. Computers & Operations Research. 2008;35:1030-1046'},{id:"B28",body:'Marimuthu S, Ponnambalam SG, Jawahar N. Threshold accepting and ant-colony optimization algorithms for scheduling m-machine flow shops with lot streaming. Journal of Materials Processing Technology. 2009;209:1026-1041'},{id:"B29",body:'Behnamian J, Fatemi Ghomi SMT, Zandieh M. Development of a hybrid meta heuristic to minimise earliness and tardiness in a hybrid flow shop with sequence-dependent setup times. International Journal of Production Research. 2010;48(5):1415-1438'},{id:"B30",body:'M’Hallah R, Alhajraf A. Ant colony systems for the single-machine total weighted earliness tardiness scheduling problem. Journal of Scheduling. 2015;19. DOI: 10.1007/s10951-015-0429-x. Available from: https://www.researchgate.net/publication/275220942_Ant_colony_systems_for_the_single-machine_total_weighted_earliness_tardiness_scheduling_problem'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Abhishek Kaul",address:"abhishekkaul@gmail.com",affiliation:'
IBM Consulting, Singapore
'}],corrections:null},book:{id:"10400",type:"book",title:"The Application of Ant Colony Optimization",subtitle:null,fullTitle:"The Application of Ant Colony Optimization",slug:"the-application-of-ant-colony-optimization",publishedDate:"May 11th 2022",bookSignature:"Ali Soofastaei",coverURL:"https://cdn.intechopen.com/books/images_new/10400.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83968-177-6",printIsbn:"978-1-83968-176-9",pdfIsbn:"978-1-83968-178-3",isAvailableForWebshopOrdering:!0,editors:[{id:"257455",title:"Dr.",name:"Ali",middleName:null,surname:"Soofastaei",slug:"ali-soofastaei",fullName:"Ali Soofastaei"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}}},profile:{item:{id:"81419",title:"Prof.",name:"Sang-Jae",middleName:null,surname:"Kim",email:"kimsangj@jejunu.ac.kr",fullName:"Sang-Jae Kim",slug:"sang-jae-kim",position:null,biography:"Sang Jae Kim, PhD, is a professor in the Department of Mechatronics Engineering and the Department of Advanced Convergence Technology and Science at Jeju National University (JNU), South Korea. He received his PhD in Electrical Communication Engineering from Tohoku University, Japan. He was a visiting research scholar in the Department of Materials Science at the University of Cambridge, UK, and Georgia Institute of Technology, USA, as well as a senior researcher at the National Institute of Materials Science. He has published more than 150 research articles in well-reputed international journals. His research disciplines include nanomaterials for energy and electronics applications, Josephson devices, microelectromechanical systems, supercapacitors, nanogenerators, and nano-biosensors.",institutionString:"Jeju National University",profilePictureURL:"https://mts.intechopen.com/storage/users/81419/images/system/81419.png",totalCites:0,totalChapterViews:"0",outsideEditionCount:0,totalAuthoredChapters:"6",totalEditedBooks:"1",personalWebsiteURL:null,twitterURL:null,linkedinURL:null,institution:{name:"Jeju National University",institutionURL:null,country:{name:"Korea, South"}}},booksEdited:[{id:"8539",type:"book",slug:"nanogenerators",title:"Nanogenerators",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/8539.jpg",abstract:"This book provides an introduction to nanogenerators, which are the newest technological advancement in the field of energy conversion. Chapters discuss the physics behind energy conversion using detailed research results and experimental techniques for fabricating triboelectric and piezoelectric devices, as well as nanogenerators in the field of biomedicine and the construction of stretchable electrodes for wearable devices.",editors:[{id:"81419",title:"Prof.",name:"Sang-Jae",surname:"Kim",slug:"sang-jae-kim",fullName:"Sang-Jae Kim"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,productType:{id:"1",title:"Edited Volume"}}],chaptersAuthored:[{id:"27079",title:"Focused Ion Beam Based Three-Dimensional Nano-Machining",slug:"focused-ion-beam-based-three-dimensional-nano-machining",abstract:null,signatures:"Gunasekaran Venugopal, Shrikant Saini and Sang-Jae Kim",authors:[{id:"81419",title:"Prof.",name:"Sang-Jae",surname:"Kim",fullName:"Sang-Jae Kim",slug:"sang-jae-kim",email:"kimsangj@jejunu.ac.kr"},{id:"91674",title:"Dr.",name:"Gunasekaran",surname:"Venugopal",fullName:"Gunasekaran Venugopal",slug:"gunasekaran-venugopal",email:"pvsguna@gmail.com"},{id:"91676",title:"Mr.",name:"Shrikant",surname:"Saini",fullName:"Shrikant Saini",slug:"shrikant-saini",email:"ssaini@jejunu.ac.kr"}],book:{id:"854",title:"Micromachining Techniques for Fabrication of Micro and Nano Structures",slug:"micromachining-techniques-for-fabrication-of-micro-and-nano-structures",productType:{id:"1",title:"Edited Volume"}}},{id:"44825",title:"Nanolithography",slug:"nanolithography",abstract:null,signatures:"Gunasekaran Venugopal and Sang-Jae Kim",authors:[{id:"81419",title:"Prof.",name:"Sang-Jae",surname:"Kim",fullName:"Sang-Jae Kim",slug:"sang-jae-kim",email:"kimsangj@jejunu.ac.kr"},{id:"91674",title:"Dr.",name:"Gunasekaran",surname:"Venugopal",fullName:"Gunasekaran Venugopal",slug:"gunasekaran-venugopal",email:"pvsguna@gmail.com"}],book:{id:"3332",title:"Advances in Micro/Nano Electromechanical Systems and Fabrication Technologies",slug:"advances-in-micro-nano-electromechanical-systems-and-fabrication-technologies",productType:{id:"1",title:"Edited Volume"}}},{id:"59557",title:"Hybrid Structures for Piezoelectric Nanogenerators: Fabrication Methods, Energy Generation, and Self-Powered Applications",slug:"hybrid-structures-for-piezoelectric-nanogenerators-fabrication-methods-energy-generation-and-self-po",abstract:"Smart energy harvesting through the surrounding environment generates sufficient energy to drive the low-power consumption systems. It is the forthcoming revolution in smart (or self-powered) technology and results in abolishing the usage of complex batteries, external circuit components, and natural sources. To date, extensive fabrication methods, the growth of ZnO nanostructures on plastic substrates, and flexible piezoelectric polymer film-based devices were tested to improve the performance of piezoelectric nanogenerator (PNG) as a prominent energy-harnessing approach for the development of sustainable independent power sources. Still, PNG technology suffers from brittleness, leakage current issues, high electrical output generation, and long-term durability, which can be possible to control by the composite technology, that is, polymer/nanoparticles. The objective of this book chapter determines the rapid growth of multifunctional, flexible composite structures through various methods (e.g., ionotropic gelation method, groove technique, ultrasonication followed by solution-casting methods) for high output energy generation and self-powered sensor/system studies.",signatures:"Nagamalleswara Rao Alluri, Arunkumar Chanderashkear and Sang-\nJae Kim",authors:[{id:"81419",title:"Prof.",name:"Sang-Jae",surname:"Kim",fullName:"Sang-Jae Kim",slug:"sang-jae-kim",email:"kimsangj@jejunu.ac.kr"},{id:"226214",title:"Dr.",name:"Nagamalleswara Rao",surname:"Alluri",fullName:"Nagamalleswara Rao Alluri",slug:"nagamalleswara-rao-alluri",email:"alluri@jejunu.ac.kr"},{id:"226215",title:"Prof.",name:"Arunkumar",surname:"Chandrasekhar",fullName:"Arunkumar Chandrasekhar",slug:"arunkumar-chandrasekhar",email:"arunkumar.c@vit.ac.in"}],book:{id:"6509",title:"Energy Harvesting",slug:"energy-harvesting",productType:{id:"1",title:"Edited Volume"}}},{id:"60047",title:"Fabrication and Characterization of Supercapacitors toward Self-Powered System",slug:"fabrication-and-characterization-of-supercapacitors-toward-self-powered-system",abstract:"Ever increasing energy demand urges to impelled extensive research in the development of new eco-friendly energy harvesting and storage technologies. Energy harvesting technology exploiting renewable energy sources is an auspicious method for sustainable, autonomous, and everlasting operation of a variety of electronic devices. A new concept of an integrated self-powered system by combining an energy harvesting device with an energy storage device has been established to harvest renewable energy and simultaneously store it for sustainable operation of electronic devices. In this chapter, describes the fabrication of a self-powered system by integrating the supercapacitor with energy harvesting devices such as nanogenerator and solar cells to power portable electronic devices. Initially synthesis and electrochemical characterization of various electroactive materials for supercapacitors and further, fabrication of supercapacitor device were discussed. In conclusion, this chapter demonstrates self-powered system by the integration of energy harvesting, energy storage module with portable electronic devices. The various result validates the feasibility of using supercapacitors as efficient energy storage components in self-powered devices. The proposed self-powered technology based on energy conversion of renewable energy to electrical energy which stored in energy storage device and it will be used to operate several electronic devices as a self-powered device.",signatures:"Ananthakumar Ramadoss, Balasubramaniam Saravanakumar and\nSang-Jae Kim",authors:[{id:"81419",title:"Prof.",name:"Sang-Jae",surname:"Kim",fullName:"Sang-Jae Kim",slug:"sang-jae-kim",email:"kimsangj@jejunu.ac.kr"},{id:"210144",title:"Dr.",name:"Ananthakumar",surname:"Ramadoss",fullName:"Ananthakumar Ramadoss",slug:"ananthakumar-ramadoss",email:"ananth.cipet@gmail.com"},{id:"210145",title:"Dr.",name:"Balasubramaniam",surname:"Saravanakumar",fullName:"Balasubramaniam Saravanakumar",slug:"balasubramaniam-saravanakumar",email:"kumar@jejunu.ac.kr"}],book:{id:"6224",title:"Advancements in Energy Storage Technologies",slug:"advancements-in-energy-storage-technologies",productType:{id:"1",title:"Edited Volume"}}},{id:"70813",title:"Triboelectric Nanogenerators: Design, Fabrication, Energy Harvesting, and Portable-Wearable Applications",slug:"triboelectric-nanogenerators-design-fabrication-energy-harvesting-and-portable-wearable-applications",abstract:"Scavenging energy from our day-to-day activity into useful electrical energy be the best solution to solve the energy crisis. This concept entirely reduces the usage of batteries, which have a complex issue in recycling and disposal. For electrical harvesting energy from vibration energy, there are few energy harvesters available, but the fabrication, implementation, and maintenances are quite complicated. Triboelectric nanogenerators (TENG) having the advantage of accessible design, less fabrication cost, and high energy efficiency can replace the battery in low-power electronic devices. TENGs can operate in various working modes such as contact-separation mode, sliding mode, single-electrode mode, and free-standing mode. The design of TENGs with the respective operating modes employed in generating electric power as well as can be utilized as a portable and wearable power source. The fabrication of triboelectric layers with micro-roughness could enhance the triboelectric charge generation. The objective of this chapter is to deal with the design of triboelectric layers, creating micro structured roughness using the soft-lithographic technique, fabrication of TENGs using different working modes, energy harvesting performance analysis, powering up commercial devices (LEDs, displays, and capacitors), and portable-wearable applications.",signatures:"Venkateswaran Vivekananthan, Arunkumar Chandrasekhar, Nagamalleswara Rao Alluri, Yuvasree Purusothaman, Gaurav Khandelwal and Sang-Jae Kim",authors:[{id:"81419",title:"Prof.",name:"Sang-Jae",surname:"Kim",fullName:"Sang-Jae Kim",slug:"sang-jae-kim",email:"kimsangj@jejunu.ac.kr"},{id:"226214",title:"Dr.",name:"Nagamalleswara Rao",surname:"Alluri",fullName:"Nagamalleswara Rao Alluri",slug:"nagamalleswara-rao-alluri",email:"alluri@jejunu.ac.kr"},{id:"226215",title:"Prof.",name:"Arunkumar",surname:"Chandrasekhar",fullName:"Arunkumar Chandrasekhar",slug:"arunkumar-chandrasekhar",email:"arunkumar.c@vit.ac.in"},{id:"313713",title:"Mr.",name:"Venkateswaran",surname:"Vivekananthan",fullName:"Venkateswaran Vivekananthan",slug:"venkateswaran-vivekananthan",email:"vivek@jejunu.ac.kr"},{id:"313714",title:"Dr.",name:"Yuvasree",surname:"Purusothaman",fullName:"Yuvasree Purusothaman",slug:"yuvasree-purusothaman",email:"yuvasreep@jejunu.ac.kr"},{id:"313715",title:"Mr.",name:"Gaurav",surname:"Khandelwal",fullName:"Gaurav Khandelwal",slug:"gaurav-khandelwal",email:"gaurav@jejunu.ac.kr"}],book:{id:"8539",title:"Nanogenerators",slug:"nanogenerators",productType:{id:"1",title:"Edited Volume"}}},{id:"80152",title:"Energy Storage Properties of Topochemically Synthesized Blue TiO2 Nanostructures in Aqueous and Organic Electrolyte",slug:"energy-storage-properties-of-topochemically-synthesized-blue-tio-sub-2-sub-nanostructures-in-aqueous",abstract:"This book chapter discusses the topochemical synthesis of blue titanium oxide (b-TiO2) and their application as electrode material for supercapacitor devices in aqueous and organic electrolytes. The formation mechanism of b-TiO2 via topochemical synthesis and their characterization using X-ray diffraction, UV–visible, photoluminescence, electron spin resonance spectroscopy, laser Raman spectrum, X-ray photoelectron spectroscopy, and morphological studies (FESEM and HR-TEM) are discussed in detail. The supercapacitive properties of b-TiO2 electrode were studied using both aqueous (Na2SO4) and organic (TEABF4) electrolytes. The b-TiO2 based symmetric-type supercapacitor (SC) device using TEABF4 works over a wide voltage window (3 V) and delivered a high specific capacitance (3.58 mF cm−2), possess high energy density (3.22 μWh cm−2) and power density (8.06 mW cm−2) with excellent cyclic stability over 10,000 cycles. Collectively, this chapter highlighted the use of b-TiO2 sheets as an advanced electrode for 3.0 V supercapacitors.",signatures:"Parthiban Pazhamalai, Karthikeyan Krishnamoorthy and Sang-Jae Kim",authors:[{id:"81419",title:"Prof.",name:"Sang-Jae",surname:"Kim",fullName:"Sang-Jae Kim",slug:"sang-jae-kim",email:"kimsangj@jejunu.ac.kr"},{id:"278690",title:null,name:"Karthikeyan",surname:"Krishnamoorthy",fullName:"Karthikeyan Krishnamoorthy",slug:"karthikeyan-krishnamoorthy",email:"karthi.nanotech@gmail.com"},{id:"278691",title:"Dr.",name:"Parthiban",surname:"Pazhamalai",fullName:"Parthiban Pazhamalai",slug:"parthiban-pazhamalai",email:"parthiban.selvam09@gmail.com"}],book:{id:"10779",title:"21st Century Nanostructured Materials",slug:"21st-century-nanostructured-materials-physics-chemistry-classification-and-emerging-applications-in-industry-biomedicine-and-agriculture",productType:{id:"1",title:"Edited Volume"}}}],collaborators:[{id:"6315",title:"Dr.",name:"Hoi Wai",surname:"Choi",slug:"hoi-wai-choi",fullName:"Hoi Wai Choi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Hong Kong",institutionURL:null,country:{name:"China"}}},{id:"83994",title:"Prof.",name:"Tai",surname:"Chen",slug:"tai-chen",fullName:"Tai Chen",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Washington",institutionURL:null,country:{name:"United States of America"}}},{id:"84794",title:"Prof.",name:"Hongmin",surname:"Lee",slug:"hongmin-lee",fullName:"Hongmin Lee",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/84794/images/517_n.jpg",biography:"received the B. S. degree in elctronic engineering from Yonsei university, Korea, in 1972 and M. S.and Ph. D. degrees in elctronic engineering from Yonsei university, Korea, in 1974 and 1990, respectively. Since 1991, he is a professor in Kyonggi university, korea and his research areas are antenna, microwave circuit design. Currently his research is mainly focused on the meta-material antenna and absorber structures. 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The OAI-PMH (Open Archives Initiative Protocol for Metadata Harvesting) is used to govern the collection of metadata descriptions and enables other archives to access our database. The Protocol has been developed by the Open Archives Initiative, based on ensuring interoperability standards in order to ease and promote broader and more efficient dissemination of information within the scientific community.
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Habitats",slug:"unmanned-aerial-systems-uass-for-environmental-monitoring-a-review-with-applications-in-coastal-habi",totalDownloads:2404,totalCrossrefCites:14,totalDimensionsCites:21,abstract:"Nowadays the proliferation of small unmanned aerial systems or vehicles (UAS/Vs), formerly known as drones, coupled with an increasing interest in tools for environmental monitoring, have led to an exponential use of these unmanned aerial platforms for many applications in the most diverse fields of science. In particular, ecologists require data collected at appropriate spatial and temporal resolutions to describe ecological processes. For these reasons, we are witnessing the proliferation of UAV-based remote sensing techniques because they provide new perspectives on ecological phenomena that would otherwise be difficult to study. Therefore, we propose a brief review regarding the emerging applications of low-cost aerial platforms in the field of environmental sciences such as assessment of vegetation dynamics and forests biodiversity, wildlife research and management, map changes in freshwater marshes, river habitat mapping, and conservation and monitoring programs. In addition, we describe two applications of habitat mapping from UAS-based imagery, along the Central Mediterranean coasts, as study cases: (1) The upper limit of a Posidonia oceanica meadow was mapped to detect impacted areas, (2) high-resolution orthomosaic was used for supporting underwater visual census data in order to visualize juvenile fish densities and microhabitat use in four shallow coastal nurseries.",book:{id:"5847",slug:"aerial-robots-aerodynamics-control-and-applications",title:"Aerial Robots",fullTitle:"Aerial Robots - Aerodynamics, Control and Applications"},signatures:"Daniele Ventura, Andrea Bonifazi, Maria Flavia Gravina and Gian\nDomenico Ardizzone",authors:[{id:"198366",title:"Ph.D.",name:"Daniele",middleName:null,surname:"Ventura",slug:"daniele-ventura",fullName:"Daniele Ventura"},{id:"205321",title:"Mr.",name:"Andrea",middleName:null,surname:"Bonifazi",slug:"andrea-bonifazi",fullName:"Andrea Bonifazi"},{id:"205335",title:"Dr.",name:"Maria Flavia",middleName:null,surname:"Gravina",slug:"maria-flavia-gravina",fullName:"Maria Flavia Gravina"},{id:"205336",title:"Prof.",name:"Giandomenico",middleName:null,surname:"Ardizzone",slug:"giandomenico-ardizzone",fullName:"Giandomenico Ardizzone"}]},{id:"54685",doi:"10.5772/67915",title:"Underwater Optical Wireless Communication Systems: A Concise Review",slug:"underwater-optical-wireless-communication-systems-a-concise-review",totalDownloads:2303,totalCrossrefCites:16,totalDimensionsCites:16,abstract:"Underwater optical wireless communications (UOWC) have gained a considerable interest during the last years as an alternative means for broadband inexpensive submarine communications. UOWC present numerous similarities compared to free space optical (FSO) communications or laser satellite links mainly due to the fact that they employ optical wavelengths to transfer secure information between dedicated point‐to‐point links. By using suitable wavelengths, high data rates can be attained. Some recent works showed that broadband links can be achieved over moderate ranges. Transmissions of several Mbps have been realized in laboratory experiments by employing a simulated aquatic medium with scattering characteristics similar to oceanic waters. It was also demonstrated that UOWC networks are feasible to operate at high data rates for medium distances up to a hundred meters. However, it is not currently available as an industrial product and mainly test‐bed measurements in water test tanks have been reported so far. Therefore, extensive research is expected in the near future, which is necessary in order to further reveal the “hidden” abilities of optical spectrum to transfer broadband signals at higher distances. The present work summarizes the recent advances in channel modeling and system analysis and design in the area of UOWC.",book:{id:"5801",slug:"turbulence-modelling-approaches-current-state-development-prospects-applications",title:"Turbulence Modelling Approaches",fullTitle:"Turbulence Modelling Approaches - Current State, Development Prospects, Applications"},signatures:"Lydia K. Gkoura, George D. Roumelas, Hector E. Nistazakis, Harilaos\nG. Sandalidis, Alexander Vavoulas, Andreas D. Tsigopoulos and\nGeorge S. Tombras",authors:[{id:"19522",title:"Prof.",name:"George S.",middleName:null,surname:"Tombras",slug:"george-s.-tombras",fullName:"George S. Tombras"},{id:"23386",title:"Prof.",name:"Hector",middleName:"E.",surname:"Nistazakis",slug:"hector-nistazakis",fullName:"Hector Nistazakis"},{id:"171669",title:"Ms.",name:"Lydia",middleName:null,surname:"Gkoura",slug:"lydia-gkoura",fullName:"Lydia Gkoura"},{id:"171670",title:"Prof.",name:"Andreas",middleName:null,surname:"Tsigopoulos",slug:"andreas-tsigopoulos",fullName:"Andreas Tsigopoulos"},{id:"171672",title:"Dr.",name:"Alexander",middleName:null,surname:"Vavoulas",slug:"alexander-vavoulas",fullName:"Alexander Vavoulas"},{id:"199221",title:"MSc.",name:"George D.",middleName:null,surname:"Roumelas",slug:"george-d.-roumelas",fullName:"George D. Roumelas"},{id:"199222",title:"Prof.",name:"H.G.",middleName:null,surname:"Sandalidis",slug:"h.g.-sandalidis",fullName:"H.G. Sandalidis"}]},{id:"66116",doi:"10.5772/intechopen.84982",title:"High Entropy Alloys for Aerospace Applications",slug:"high-entropy-alloys-for-aerospace-applications",totalDownloads:1593,totalCrossrefCites:8,totalDimensionsCites:13,abstract:"In the aerospace industry, materials used as modern engine components must be able to withstand extreme operating temperatures, creep, fatigue crack growth and translational movements of parts at high speed. Therefore, the parts produced must be lightweight and have good elevated-temperature strength, fatigue, resistant to chemical degradation, wear and oxidation resistance. High entropy alloys (HEAs) characterize the cutting edge of high-performance materials. These alloys are materials with complex compositions of multiple elements and striking characteristics in contrast to conventional alloys; their high configuration entropy mixing is more stable at elevated temperatures. This attribute allows suitable alloying elements to increase the properties of the materials based on four core effects , which gives tremendous possibilities as potential structural materials in jet engine applications. Researchers fabricate most of these materials using formative manufacturing technologies; arc melting. However, the challenges of heating the elements together have the tendency to form hypoeutectic that separates itself from the rest of the elements and defects reported are introduced during the casting process. Nevertheless, Laser Engineering Net Shaping (LENS™) and Selective Laser Melting (SLM); a powder-based laser additive manufacturing process offers versatility, accuracy in geometry and fabrication of three-dimensional dense structures layer by layer avoiding production errors.",book:{id:"8558",slug:"aerodynamics",title:"Aerodynamics",fullTitle:"Aerodynamics"},signatures:"Modupeola Dada, Patricia Popoola, Samson Adeosun and Ntombi Mathe",authors:[{id:"169258",title:"Dr.",name:"Patricia",middleName:null,surname:"Popoola",slug:"patricia-popoola",fullName:"Patricia Popoola"},{id:"285697",title:"M.Sc.",name:"Modupeola",middleName:null,surname:"Dada",slug:"modupeola-dada",fullName:"Modupeola Dada"},{id:"292368",title:"Dr.",name:"Samson",middleName:null,surname:"Adeosun",slug:"samson-adeosun",fullName:"Samson Adeosun"},{id:"292369",title:"Dr.",name:"Ntombi",middleName:null,surname:"Mathe",slug:"ntombi-mathe",fullName:"Ntombi Mathe"}]},{id:"55155",doi:"10.5772/67918",title:"Numerical Analysis of Laminar‐Turbulent Bifurcation Scenarios in Kelvin‐Helmholtz and Rayleigh‐Taylor Instabilities for Compressible Flow",slug:"numerical-analysis-of-laminar-turbulent-bifurcation-scenarios-in-kelvin-helmholtz-and-rayleigh-taylo",totalDownloads:1698,totalCrossrefCites:5,totalDimensionsCites:8,abstract:"In the chapter, we are focused on laminar-turbulent transition in compressible flows triggered by Kelvin-Helmholtz (KH) and Rayleigh-Taylor (RT) instabilities. Compressible flow equations in conservation form are considered. We bring forth the characteristic feature of supersonic flow from the dynamical system point of view. Namely, we show analytically and confirm numerically that the phase space is separated into independent subspaces by the systems of stationary shock waves. Floquet theory analysis is applied to the linearized problem using matrix-free implicitly restarted Arnoldi method. All numerical methods are designed for CPU and multiGPU architecture using MPI across GPUs. Some benchmark data and features of development are presented. We show that KH for symmetric 2D perturbations undergoes cycle bifurcation scenarios with many chaotic cycle threads, each thread being a Feigenbaum-Sharkovskiy-Magnitskii (FShM) cascade. With the break of the symmetry, a 3D instability develops rapidly, and the bifurcations includes Landau-Hopf scenario with computationally stable 4D torus. For each torus, there exist threads of cycles that can develop chaotic regimes, so the flow is more complicated and difficult to study. Thus, we present laminar-turbulent development of compressible RT and KH instabilities as the bifurcations scenarios.",book:{id:"5801",slug:"turbulence-modelling-approaches-current-state-development-prospects-applications",title:"Turbulence Modelling Approaches",fullTitle:"Turbulence Modelling Approaches - Current State, Development Prospects, Applications"},signatures:"Nikolay Mihaylovitch Evstigneev and Nikolai Alexandrovitch\nMagnitskii",authors:[{id:"96107",title:"Prof.",name:"Nikolai A.",middleName:"Alexandrovich",surname:"Magnitskii",slug:"nikolai-a.-magnitskii",fullName:"Nikolai A. Magnitskii"},{id:"151627",title:"Dr.",name:"N. M.",middleName:null,surname:"Evstigneev",slug:"n.-m.-evstigneev",fullName:"N. M. Evstigneev"}]},{id:"55909",doi:"10.5772/intechopen.69396",title:"Computational Aeroelasticity of Flying Robots with Flexible Wings",slug:"computational-aeroelasticity-of-flying-robots-with-flexible-wings",totalDownloads:1944,totalCrossrefCites:2,totalDimensionsCites:6,abstract:"A computational co‐simulation framework for flying robots with flexible wings is presented. The authors combine a nonlinear aerodynamic model based on an extended version of the unsteady vortex‐lattice method with a nonlinear structural model based on a segregated formulation of Lagrange’s equations obtained with the Floating Frame of Reference formalism. The structural model construction allows for hybrid combinations of different models typically used with multibody systems such as models based on rigid‐body dynamics, assumed‐modes techniques, and finite‐element methods. The aerodynamic model includes a simulation of leading‐edge separation for large angles of attack. The governing differential‐algebraic equations are solved simultaneously and interactively to obtain the structural response and the flow in the time domain. The integration is based on the fourth‐order predictor‐corrector method of Hamming with a procedure to stabilize the iteration. The findings are found to capture known nonlinear behavior of flapping-wing systems. The developed framework should be relevant for conducting aeroelastic studies on a wide variety of air vehicle systems.",book:{id:"5847",slug:"aerial-robots-aerodynamics-control-and-applications",title:"Aerial Robots",fullTitle:"Aerial Robots - Aerodynamics, Control and Applications"},signatures:"Sergio Preidikman, Bruno Antonio Roccia, Marcos Leonardo\nVerstraete, Marcelo Federico Valdez, Dean T. Mook and Balakumar\nBalachandran",authors:[{id:"201035",title:"Dr.",name:"Sergio",middleName:null,surname:"Preidikman",slug:"sergio-preidikman",fullName:"Sergio Preidikman"},{id:"201037",title:"Dr.",name:"Bruno A.",middleName:null,surname:"Roccia",slug:"bruno-a.-roccia",fullName:"Bruno A. Roccia"},{id:"201038",title:"Dr.",name:"Marcos L.",middleName:null,surname:"Verstraete",slug:"marcos-l.-verstraete",fullName:"Marcos L. Verstraete"},{id:"201039",title:"Dr.",name:"Marcelo F.",middleName:null,surname:"Valdéz",slug:"marcelo-f.-valdez",fullName:"Marcelo F. Valdéz"},{id:"201040",title:"Dr.",name:"Balakumar",middleName:null,surname:"Balachandran",slug:"balakumar-balachandran",fullName:"Balakumar Balachandran"},{id:"201041",title:"Dr.",name:"Dean T.",middleName:null,surname:"Mook",slug:"dean-t.-mook",fullName:"Dean T. Mook"}]}],mostDownloadedChaptersLast30Days:[{id:"69603",title:"Introduction to Satellite Attitude Control",slug:"introduction-to-satellite-attitude-control",totalDownloads:1332,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter will introduce the space environment satellites must operate in, the motion they make in orbit, and their orientation while in orbit. The forces acting on the spacecraft will be considered, along with the implications of conservation of energy. The fundamentals of orbital mechanics will be presented, so common orbits can be visualized and discussed in terms of the six classical orbital elements. Perturbations impacting the orbit are covered for a better understanding of how orbits change over time. The inertial frame of reference will be defined and then transformed into body coordinates of the satellite using the direction cosine matrix and quaternions to describe the attitude of the spacecraft. A variety of modern attitude control techniques will be developed in the following chapters.",book:{id:"7761",slug:"advances-in-spacecraft-attitude-control",title:"Advances in Spacecraft Attitude Control",fullTitle:"Advances in Spacecraft Attitude Control"},signatures:"Henry Travis",authors:[{id:"290765",title:"Mr.",name:"Henry",middleName:null,surname:"Travis",slug:"henry-travis",fullName:"Henry Travis"}]},{id:"56312",title:"Design and Development of Aerial Robotic Systems for Sampling Operations in Industrial Environment",slug:"design-and-development-of-aerial-robotic-systems-for-sampling-operations-in-industrial-environment",totalDownloads:1453,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"This chapter describes the development of an autonomous fluid sampling system for outdoor facilities, and the localization solution to be used. The automated sampling system will be based on collaborative robotics, with a team of a UAV and a UGV platform travelling through a plant to collect water samples. The architecture of the system is described, as well as the hardware present in the UAV and the different software frameworks used. A visual simultaneous localization and mapping (SLAM) technique is proposed to deal with the localization problem, based on authors’ previous works, including several innovations: a new method to initialize the scale using unreliable global positioning system (GPS) measurements, integration of attitude and heading reference system (AHRS) measurements into the recursive state estimation, and a new technique to track features during the delayed feature initialization process. These procedures greatly enhance the robustness and usability of the SLAM technique as they remove the requirement of assisted scale initialization, and they reduce the computational effort to initialize features. To conclude, results from experiments performed with simulated data and real data captured with a prototype UAV are presented and discussed.",book:{id:"5847",slug:"aerial-robots-aerodynamics-control-and-applications",title:"Aerial Robots",fullTitle:"Aerial Robots - Aerodynamics, Control and Applications"},signatures:"Rodrigo Munguia, Edmundo Guerra, Sarquis Urzua, Yolanda Bolea\nand Antoni Grau",authors:[{id:"13038",title:"Prof.",name:"Antoni",middleName:null,surname:"Grau",slug:"antoni-grau",fullName:"Antoni Grau"},{id:"18024",title:"Dr.",name:"Yolanda",middleName:null,surname:"Bolea",slug:"yolanda-bolea",fullName:"Yolanda Bolea"},{id:"163432",title:"Dr.",name:"Rodrigo",middleName:null,surname:"Munguia",slug:"rodrigo-munguia",fullName:"Rodrigo Munguia"},{id:"165970",title:"Ph.D. Student",name:"Edmundo",middleName:null,surname:"Guerra",slug:"edmundo-guerra",fullName:"Edmundo Guerra"},{id:"201103",title:"Mr.",name:"Sarquis",middleName:null,surname:"Urzua",slug:"sarquis-urzua",fullName:"Sarquis Urzua"}]},{id:"55140",title:"Interface Instability and Turbulent Mixing",slug:"interface-instability-and-turbulent-mixing",totalDownloads:1677,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"Richtmyer‐Meshkov instability and turbulent mixing are fundamental problems of multi‐materials interface dynamics, which mainly focuses on the growth of perturbation on the interface and mixing of different materials. It is very important in many applications such as inertial confinement fusion, high‐speed combustion, supernova, etc. In this chapter, we will gain advances in understanding this problem by numerical investigations, including the numerical method and program we used, the verification and validation of numerical method and program, the growth laws and mechanics of turbulent mixing, the effects of initial conditions, the dynamic behavior, and some new phenomenon for Richtmyer‐Meshkov instability and turbulent mixing.",book:{id:"5801",slug:"turbulence-modelling-approaches-current-state-development-prospects-applications",title:"Turbulence Modelling Approaches",fullTitle:"Turbulence Modelling Approaches - Current State, Development Prospects, Applications"},signatures:"Jingsong Bai and Tao Wang",authors:[{id:"199258",title:"Mr.",name:"Tao",middleName:null,surname:"Wang",slug:"tao-wang",fullName:"Tao Wang"},{id:"199259",title:"Prof.",name:"Jingsong",middleName:null,surname:"Bai",slug:"jingsong-bai",fullName:"Jingsong Bai"}]},{id:"66116",title:"High Entropy Alloys for Aerospace Applications",slug:"high-entropy-alloys-for-aerospace-applications",totalDownloads:1598,totalCrossrefCites:8,totalDimensionsCites:13,abstract:"In the aerospace industry, materials used as modern engine components must be able to withstand extreme operating temperatures, creep, fatigue crack growth and translational movements of parts at high speed. Therefore, the parts produced must be lightweight and have good elevated-temperature strength, fatigue, resistant to chemical degradation, wear and oxidation resistance. High entropy alloys (HEAs) characterize the cutting edge of high-performance materials. These alloys are materials with complex compositions of multiple elements and striking characteristics in contrast to conventional alloys; their high configuration entropy mixing is more stable at elevated temperatures. This attribute allows suitable alloying elements to increase the properties of the materials based on four core effects , which gives tremendous possibilities as potential structural materials in jet engine applications. Researchers fabricate most of these materials using formative manufacturing technologies; arc melting. However, the challenges of heating the elements together have the tendency to form hypoeutectic that separates itself from the rest of the elements and defects reported are introduced during the casting process. Nevertheless, Laser Engineering Net Shaping (LENS™) and Selective Laser Melting (SLM); a powder-based laser additive manufacturing process offers versatility, accuracy in geometry and fabrication of three-dimensional dense structures layer by layer avoiding production errors.",book:{id:"8558",slug:"aerodynamics",title:"Aerodynamics",fullTitle:"Aerodynamics"},signatures:"Modupeola Dada, Patricia Popoola, Samson Adeosun and Ntombi Mathe",authors:[{id:"169258",title:"Dr.",name:"Patricia",middleName:null,surname:"Popoola",slug:"patricia-popoola",fullName:"Patricia Popoola"},{id:"285697",title:"M.Sc.",name:"Modupeola",middleName:null,surname:"Dada",slug:"modupeola-dada",fullName:"Modupeola Dada"},{id:"292368",title:"Dr.",name:"Samson",middleName:null,surname:"Adeosun",slug:"samson-adeosun",fullName:"Samson Adeosun"},{id:"292369",title:"Dr.",name:"Ntombi",middleName:null,surname:"Mathe",slug:"ntombi-mathe",fullName:"Ntombi Mathe"}]},{id:"55173",title:"Statistical Modeling for the Energy-Containing Structure of Turbulent Flows",slug:"statistical-modeling-for-the-energy-containing-structure-of-turbulent-flows",totalDownloads:1359,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The development of statistical theory for the energy-containing structure of turbulent flows, taking the phenomenon of internal intermittency into account, is proposed, and new differential equations for conditional means of turbulent and nonturbulent fluid flow are established. Based on this fact, a new principle of constructing mathematical models is formulated as the method of autonomous statistical modeling of turbulent flows, ASMTurb method. Testing of the method is attained on the example of constructing a mathematical model for the conditional means of turbulent fluid flow in a turbulent mixing layer of co-current streams. Test results showed excellent agreements between the predictions of the ASMTurb model and known experimental data.",book:{id:"5801",slug:"turbulence-modelling-approaches-current-state-development-prospects-applications",title:"Turbulence Modelling Approaches",fullTitle:"Turbulence Modelling Approaches - Current State, Development Prospects, Applications"},signatures:"Yuriy Nuzhnov",authors:[{id:"198896",title:"Dr.",name:"Yuriy",middleName:null,surname:"Nuzhnov",slug:"yuriy-nuzhnov",fullName:"Yuriy Nuzhnov"}]}],onlineFirstChaptersFilter:{topicId:"682",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:87,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:98,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:287,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:139,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:10,numberOfPublishedChapters:103,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:12,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:10,numberOfOpenTopics:4,numberOfUpcomingTopics:1,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. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"24",title:"Sustainable Development",doi:"10.5772/intechopen.100361",issn:null,scope:"
\r\n\tTransforming our World: the 2030 Agenda for Sustainable Development endorsed by United Nations and 193 Member States, came into effect on Jan 1, 2016, to guide decision making and actions to the year 2030 and beyond. Central to this Agenda are 17 Goals, 169 associated targets and over 230 indicators that are reviewed annually. The vision envisaged in the implementation of the SDGs is centered on the five Ps: People, Planet, Prosperity, Peace and Partnership. This call for renewed focused efforts ensure we have a safe and healthy planet for current and future generations.
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\r\n\tThis Series focuses on covering research and applied research involving the five Ps through the following topics:
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\r\n\t1. Sustainable Economy and Fair Society that relates to SDG 1 on No Poverty, SDG 2 on Zero Hunger, SDG 8 on Decent Work and Economic Growth, SDG 10 on Reduced Inequalities, SDG 12 on Responsible Consumption and Production, and SDG 17 Partnership for the Goals
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\r\n\t2. Health and Wellbeing focusing on SDG 3 on Good Health and Wellbeing and SDG 6 on Clean Water and Sanitation
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\r\n\t3. Inclusivity and Social Equality involving SDG 4 on Quality Education, SDG 5 on Gender Equality, and SDG 16 on Peace, Justice and Strong Institutions
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\r\n\t4. Climate Change and Environmental Sustainability comprising SDG 13 on Climate Action, SDG 14 on Life Below Water, and SDG 15 on Life on Land
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\r\n\t5. Urban Planning and Environmental Management embracing SDG 7 on Affordable Clean Energy, SDG 9 on Industry, Innovation and Infrastructure, and SDG 11 on Sustainable Cities and Communities.
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\r\n
\r\n\tThe series also seeks to support the use of cross cutting SDGs, as many of the goals listed above, targets and indicators are all interconnected to impact our lives and the decisions we make on a daily basis, making them impossible to tie to a single topic.
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