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The purpose of this paper is to assess whether shift work, sleep loss and fatigue are related to short-term unplanned absences in policing.

N = 367 police officers from the Buffalo Police Department were studied. Day-by-day work and sick leave data were obtained from the payroll. Absenteeism was defined as taking a single sick day on a regularly scheduled workday. Biomathematical models of fatigue (BMMF) predicted officers' sleep–wake behaviors and on-duty fatigue and sleepiness. Prior sleep, fatigue and sleepiness were tested as predictors of absenteeism during the next shift.

A total of 513,666 shifts and 4,868 cases of absenteeism were studied. The odds of absenteeism increased as on-duty fatigue and sleepiness increased and prior sleep decreased. This was particularly evident for swing shift officers and night shift officers who were predicted by BMMF to obtain less sleep and have greater fatigue and sleepiness than day shift officers. The odds of absenteeism were higher for female officers than male officers; this finding was not due to a differential response to sleep loss, fatigue or sleepiness.

Absenteeism may represent a self-management strategy for fatigue or compensatory behavior to reduced sleep opportunity. Long and irregular work hours that reduce sleep opportunity may be administratively controllable culprits of absenteeism.

Police fatigue has consequences for police officers, departments and communities. BMMF provide a potential tool for predicting and mitigating police fatigue. BMMF were used to investigate the effects of sleep and fatigue on absenteeism.

Constantly expanding chemical and environmental information sources increase the need for descriptive statistical analysis. This paper gives a comparative evaluation of data sources, i.e. online databases, databases on CD‐ROM and Internet resources in the field of environmental chemicals. The evaluation is based on information in three metadatabases for environmental chemicals: DADB‐Metadatabase of Online Databases, DACD‐Metadatabase of CD‐ROMs, DAIN‐Metadatabase of Internet Resources. A data matrix of 50 environmental and chemical descriptors found in DADB, DACD and DAIN is analysed and a technique is applied to transform the data set into a data matrix of a more homogeneous structure. This method is based on algorithms for solving the so‐called travelling salesman problem. Two different ways of analysing the data set are applied and the results are compared. Also, media combination patterns are identified and discussed. For most descriptors the information depth is higher in commercial online databases and databases on CD‐ROM than in free Internet resources. Exceptions, e.g. some health‐related parameters which have a higher percentage in Internet resources, are identified and explained.

Scientific information is more and more buried in the proliferation of commercial sites on the Internet. This means that valuable chemistry sites and chemical databases are difficult to find. In this paper some databases selected by the authors are introduced. These sites can be divided into three groups: databases which used to be only available through commercial hosts; databases which are available commercially but parts of them on the free Internet; and databases of topical concern, e.g. chemical weapons. All the mentioned databases can be found in a structured format in the DAIN Metadatabase of Internet Resources for Environmental Chemicals, which is explained in this paper. An important further step to get out of the information labyrinth is the evaluation of the content of data‐sources for chemicals. Approaches have been made to analyze chemical databases applying discrete mathematical methods and multivariate statistics.

In this chapter, we present our ongoing efforts in developing and sustaining interdisciplinary STEM undergraduate programs at North Carolina A&T State University (NCA&T) – a state-supported HBCU and National Science Foundation (NSF) Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) Institutional Implementation Project grantee. Through three rounds of NSF HBCU-UP implementation grants, a concerted effort has been made in developing interdisciplinary STEM undergraduate research programs in geophysical and environmental science (in round 1), geospatial, computational, and information science (in round 2), and mathematical and computational biology (in round 3) on NCA&T campus. We first present a brief history and background information about the interdisciplinary STEM undergraduate research programs developed and sustained at NCA&T, giving rationales on how these programs had been conceived, and summarizing what have been achieved. Next we give a detailed description on the development of undergraduate research infrastructure including building research facilities through multiple and leveraged funding sources, and engaging a core of committed faculty mentors and research collaborators. We then present, as case studies, some sample interdisciplinary research projects in which STEM undergraduate students were engaged and project outcomes. Successes associated to our endeavor in developing undergraduate research programs as well as challenges and opportunities on implementing and sustaining these efforts are discussed. Finally, we discuss the impact of well-structured undergraduate research training on student success in terms of academic performance, graduation rate and continuing graduate study, and summarize many of the learnings we have gained from implementation and delivery of undergraduate research experiences at HBCUs.

Although incarceration may have life-long negative health effects, little is known about associations between child incarceration and subsequent adult health outcomes. The paper aims to discuss this issue.

The authors analyzed data from 14,689 adult participants in the National Longitudinal Study of Adolescent to Adult Health (Add Health) to compare adult health outcomes among those first incarcerated between 7 and 13 years of age (child incarceration); first incarcerated at>or=14 years of age; and never incarcerated.

Compared to the other two groups, those with a history of child incarceration were disproportionately black or Hispanic, male, and from lower socio-economic strata. Additionally, individuals incarcerated as children had worse adult health outcomes, including general health, functional limitations (climbing stairs), depressive symptoms, and suicidality, than those first incarcerated at older ages or never incarcerated.

Despite the limitations of the secondary database analysis, these findings suggest that incarcerated children are an especially medically vulnerable population.

Programs and policies that address these medically vulnerable children’s health needs through comprehensive health and social services in place of, during, and/or after incarceration are needed.

Meeting these unmet health and social service needs offers an important opportunity to achieve necessary health care and justice reform for children.

No prior studies have examined the longitudinal relationship between child incarceration and adult health outcomes.

Agonistic antagonistic system theory and praxis were born in the medical field, but may be defined now from an epistemological and biomathematical point of view. Describes new developments in agonistic antagonistic (AA) theory and presents new applications. These include new mathematical approaches that involve variable parameters and partial derivatives in models for the regulation of AA couples (MRAAC). Gives new biomedical applications and, in explanation, a mechanism called “pathological homeostasis” (PH) is introduced. Also provides details of therapeutical trials. Suggests systems science or cybernetical strategies which are likely to have a broad field of application, particularly among decision makers in general.

Agonistic antagonistic general system theory and praxis were born in the medical field, but may be defined now from an epistemological and biomathematical point of view, and are used in other fields. Reviews classical notions in General Systems Theory (GST), such as auto‐organization, hierarchy, the “middle way” etc. Discusses bilateral strategies, which are seemingly contradictory and the paradoxical unilateral strategy. Suggests that, if the efficient control of certain systems is at stake in such strategies, they ought to be scrutinized by the cybernetical community.

The applications of mathematics to the solving of factual problems should run in a certain prescribed form called a mathematical method. Whereas a mathematical method is an only scheme that is a set of mathematical means, rules, hints, procedures, etc. how to solve a factual problem on some body of data, it becomes a Cognitive Problem‐Solver after its implementation on an appropriate computer which is able to solve, if need be, by the help of man, a class of special cognitive problems corresponding to the method arising out of their background and initial knowledge. Computer and man can act here in a symbiotic manner as intelligent agents, realizing each alternately the sequence of conceptual operations prescribed by the given method. The incidental difference between the routine and creative actions of the single agents is discussed, as well as the advantages of natural and artificial intelligence in automatic problem‐solving and automatic cognition.