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Children experience trauma more often than many early childhood educators realize. As many as 26% of children experience multiple trauma events such as abuse, neglect, parental substance abuse, parental incarceration, and so forth. Trauma impacts brain development in many negative ways that may have serious consequences on the child’s ability to learn, grow socially and emotionally, and develop physically. These brain changes also change how the child will play in the early childhood classroom, and information is given to help recognize the signs of trauma in children. The early childhood educator can make trauma-sensitive modifications in the classroom to assist the traumatized child’s ability to play out the problem. School counselors can be a resource for assisting early childhood teachers when working with traumatized children. A brief description of the importance of play therapy as a developmentally appropriate method to help traumatized young children is provided.

A major training activity rarely mentioned in journals is reviewed. First Aid is literally a lifesaver, rather than metaphorically so as in much training. The change from a relatively amateur to a more professional approach is spelled out.

The purpose of this paper is to empirically verify the conventional cause‐and‐effect relationship of fan identification and purchase intention in the context of Asian fans when both the sponsoring firm and the sponsored team are Western. The paper also proposes and examines the mediating role of sponsor credibility and attitude towards sponsor in the relationship between fan identification and purchase intention.

A field study was conducted in Bangkok, Thailand, where 350 questionnaires were collected from football fans.

The findings reveal that, even when both the sponsoring firm and the sponsored sports team are western (i.e. foreign), Asian fans’ identification with the team increases their purchase intention for sponsoring firm's goods. The research also confirms that sponsor credibility and attitude towards sponsors partially mediate the fan identification‐purchase link.

The paper provides valuable insights into the under‐researched aspect of sports sponsorship, by examining the effect on Asian fans’ purchase intension when both the sponsoring firm and the sponsored sports team are western. Moreover, most of the prior literature on sports sponsorship focuses on the direct effect of fan identification on purchase intention. The current study extends the scope of knowledge on sports sponsorship by focusing on the under‐researched but crucial mediating effects of sponsor credibility and attitude towards sponsor.

The purpose of this paper is to identify and discuss key risk factors in the use of forensic science in the criminal justice system by adopting a holistic and systemic approach that examines the collection and use of forensic evidence from crime scene to court.

The research on which the paper is based was a mixed-method five-year study of the effectiveness of forensic science in the criminal justice system in Australia using qualitative and quantitative methods. The paper draws on the in-depth analysis of qualitative data from 11 case studies of investigations of serious crime to identify key risk factors in the use of forensic science from crime scene to court.

Six key risk factors in the forensic process from crime scene to court are identified: low level of forensic awareness among first responders; crime scene examiners (CSEs) as technicians rather than professionals; inefficient and/or ineffective laboratory processes; limited forensic literacy among key actors in the criminal justice system; poor communication between key actors in the criminal justice system; and, financial resources not directed at the front end of the forensic process. Overall the findings demonstrate that forensic science is not well embedded in the criminal justice system.

The paper suggests that the risks inherent in the current practice of forensic science in the criminal justice system can be reduced dramatically through: forensic awareness training among first responders; the professionalisation of CSEs; continued improvements in efficiency and effectiveness at the laboratory with a focus on timeliness and quality; greater forensic literacy among actors in the criminal justice system; appropriate avenues of communication between agencies, practitioners and policymakers in the criminal justice system; and increased allocation of resources to the front end of the forensic process.

By adopting a holistic, systemic approach to the analysis of forensic science in the criminal justice system, and identifying inherent risks in the system, this paper contributes to the emerging body of research on the social processes that impact on the effectiveness of forensic science.

Bionic flapping-wing aerial vehicles (FWAVs) mimic natural flyers to generate the lift and thrust, such as birds, bats and insects. As an important component of the FWAVs, the flapping wings are crucial for the flight performance. The aim of this paper is to study the effects of different wings on aerodynamic performance.

Inspired by the wings structure of birds, the authors design four cambered wings to analyze the effect of airfoils on the FWAVs aerodynamic performance. The authors design the motor-driven mechanism of flapping wings, and realize the control of flapping frequency. Combined with the wind tunnel equipment, the authors build the FWAVs force test platform to test the static and dynamic aerodynamic performance of different flapping wings under the state variables of flapping frequency, wind speed and inclined angle.

The results show that the aerodynamic performance of flapping wing with a camber of 20 mm is the best. Compared with flat wing, the average lift can be improved by 59.5%.

Different from the traditional flat wing design of FWAVs, different cambered flapping wings are given in this paper. The influence of airfoils on aerodynamic performance of FWAVs is analyzed and the optimal flapping wing is obtained.

The relevance of present consumption bias on personal finance has been confirmed in several studies and has important theoretical and practical implications. It has important, measurable implications when analyzing commitment or self-control, adherence to healthy habits (e.g. exercising or dieting), procrastination tendencies or savings. The purpose of this paper is to contribute to our understanding of these issues by postulating a model of income uncertainty within a hyperbolic discounting framework that measures the cost of financial intertemporal inconsistencies related to this bias. The emphasis is on the analysis of this cost. We also propose experimental designs and consistent estimation methods, as well as agent-based modelling extensions.

The authors develop a finite-horizon model with hyperbolic preferences. Individuals have a present bias distinct from their discount rate so their choices face intertemporal inconsistencies. The authors further extend the analysis with uncertainty about future incomes. Specifically, individuals live for three periods, and the authors find the optimal consumption levels in the perfect-information benchmark by backward induction. They then proceed to add biases and uncertainty to characterize their implications and measure the costs of the intertemporal inconsistencies they cause.

The authors measure how an agent's utility is greater when they “tie their hands” than when they are free to re-evaluate and change their consumption schedule. This “cost of being vulnerable to falling into temptation” only depends (increasingly) on the measure of the present bias and (decreasingly) on the discount factor. They analyze the varying effects on utility and consumption of changes in impatience and optimism. They conclude by discussing theoretical and practical implications; they also propose agent-based simulations, as well as empirical and experimental designs, to further test the relevance and applications of the results.

This model has important, measurable implications when analyzing commitment or self-control, adherence to healthy habits (e.g. exercising or dieting), procrastination tendencies or savings.

The results enhance the estimation of the costs of present biases such that employers can better identify the incentives required to acquire and retain human capital. The authors provide evidence that workers are vulnerable to contract renegotiations and about the need for a regulator that restores ex-ante efficiency. Similarly, in the private sector, firms could recognize the postulated consumer profiles and focus their resources on anxious, too-optimistic or potentially addictive consumers; this, again, provides some justification about the need for a regulator.

In traditional exponential discounting, the marginal rate of substitution of consumption between two points depends only on their distance; thus, it allows none of the intertemporal inconsistencies we often observe in real life. Therefore, hyperbolic discounting better fits the data. The authors model choice under uncertainty and focus on the costs caused when present biases (ex-post) push behaviour away from ex-ante optimality. They conclude by proposing experimental designs to further enhance the estimation and implications of these costs. The postulated refinements have the potential to improve previous analyses on commitment devices and commitment-related regulation.

This issue is a selected bibliography covering the subject of leadership.

DULLNESS can be the aftermath of conferences, but Scarborough may be an exception. Some of the heat engendered at the Annual Business Meeting has indeed already evaporated, but its implications remain. They are these: that, while the examination system of the L.A. is to remain as it is for another two years, some revision is imperative; and the relations of the L.A. with the Association of Assistant Librarians must be so arranged that the latter can continue a distinctive existence. As for the examinations, resentment was felt not so much at the age‐limits, although these were the gravamen of the criticism against them, but against the undue severity of the Intermediate Examination, which, we are told, has delayed and impaired the careers of many quite capable young people. The severity, great as it seems in the two subjects, is increased by the requirement that both must be passed together. Only students exceptionally possessed of the examination faculty can do this, and we have the spectacle of several who have passed in each subject two or more times and yet have never been able to pass them together. The sanity of the requirement that they be passed together lies in the fact that it prevents cramming. Will anyone tell us the remedy?

Background: Artificial intelligence (AI) is a booming sector that has profoundly influenced every walk of life, and the education sector is no exception. In education, AI has helped to develop novel teaching and learning solutions that are currently being tested in various contexts. Businesses and governments across the globe have been pouring money into a wide array of implementations, and dozens of EdTech start-ups are being funded to capitalise on this technological force. The penetration of AI in classroom teaching is also a profound matter of discussion. These have garnered massive amounts of student big data and have a significant impact on the life of both students and educators alike.

Purpose: The prime focus of this chapter is to extensively review and analyse the vast literature available on the utilities of AI in health care, learning, and development. The specific objective of thematic exploration of the literature is to explicate the principal facets and recent advances in the development and employment of AI in the latter. This chapter also aims to explore how the EdTech and healthcare–education sectors would witness a paradigm shift with the advent and incorporation of AI.

Design/Methodology/Approach: To provide context and evidence, relevant publications were identified on ScienceDirect, PubMed, and Google Scholar using keywords like AI, education, learning, health care, and development. In addition, the latest articles were also thoroughly reviewed to underscore recent advances in the same field.

Results: The implementation of AI in the learning, development, and healthcare sector is rising steeply, with a projected expansion of about 50% by 2022. These algorithms and user interfaces economically facilitate efficient delivery of the latter.

Conclusions: The EdTech and healthcare sector has great potential for a spectrum of AI-based interventions, providing access to learning opportunities and personalised experiences. These interventions are often economic in the long run compared to conventional modalities. However, several ethical and regulatory concerns should be addressed before the complete adoption of AI in these sectors.

Originality/Value: The value in exploring this topic is to present a view on the potential of employing AI in health care, medical education, and learning and development. It also intends to open a discussion of its potential benefits and a remedy to its shortcomings.