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Purpose: The authors attempt to capture new forensic science students’ pre-conceptions of the field and their assessment of competencies. Methodology: The authors surveyed students at a Historically Black College and University and a Primarily White Institution on their viewership of crime and forensic TV shows and measured their competencies in a range of forensic science skills at the start and end of the semester, along with having students capture errors and evidence from an episode of CSI Las Vegas. Findings: Students who were viewers of crime series with and without prior forensics coursework over evaluated their level of preparedness at the start of the semester, often ranking themselves as moderately or well prepared in blood spatter analysis, fingerprinting, bodily fluid, and hair/fiber collection. Research limitations: The authors relied on a convenience sample of forensic science courses, and their comparison of student learning was disrupted by COVID-19. Originality: The authors examine student concerns with working at crime scenes and reflections on their abilities to succeed in the field. The authors discuss the need for incorporating media literacy, content warnings, and emotional socialization and professional development into forensic science curricula to better equip and prepare students for careers as crime scene investigators and forensic analysts.

The purpose of this paper is to provide a review of the current literature uncovering specific factors associated with self-harm and suicidality among young Asian-American women, as well as to present the Fractured Identity Model as a framework for understanding these factors. This paper offers concrete suggestions for the development of culturally competent interventions to target suicidality, substance abuse, and mental illness among young Asian-American women.

Empirical studies and theory-based papers featured in peer-reviewed journals between 1990 and 2014 were identified through scholarly databases, such as PubMed, MEDLINE, PsycINFO, JSTOR, and Google Scholar. Of an original 32 articles, 12 were chosen for in-depth empirical review due to relevance to the topics at hand, quality of research, and significance of findings.

The paper identified several factors associated with suicidality among young Asian-American women: family dynamics, or having lived in a household where parents practice “disempowering parenting styles,” substance use/abuse, and untreated mental illness(es), which are exacerbated by the stigma and shame attached to seeking out mental health services. The Fractured Identity Model by Hahm et al. (2014) is presented as a proposed causal pathway from disempowering parenting to suicidal and self-harm behaviors among this population, with substance abuse playing a significant mediating role.

The review focussed on Asian-American women, substance use among Asian-Americans, and mental health among Asian-Americans. Literature that focused on Asians living in Asia or elsewhere outside of the USA was excluded from this review; the review was limited to research conducted in the USA and written in the English language.

The complex interplay among Asian-American culture, family dynamics, gender roles/expectations, and mental health justifies the development of a suicide and substance abuse intervention that is tailored to the culture- and gender-specific needs of Asian Pacific Islander young women. It is imperative for professionals in the fields of public health, mental health, medicine, and substance abuse to proactively combat the “model minority” myth and to design and implement interventions targeting family dynamics, coping with immigration/acculturative stresses, mental illnesses, suicidal behaviors, and substance abuse among Asian-American populations across the developmental lifespan.

This paper provides specific suggestions for interventions to adequately respond to the mental health needs of young Asian-American women. These include addressing the cultural stigma and shame of seeking help, underlying family origin issues, and excessive alcohol and drug use as unsafe coping, as well as incorporating empowerment-based and mind-body components to foster an intervention targeting suicidality among Asian-American women in early adulthood.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.

This case was based on both primary and secondary data. In-depth semidirected interviews were conducted in 2021–2022 after receiving the institutional research board approval. The interviews took an approximate time ranging from 90 to 120 min. They were recorded and transcribed. A thematic analysis was undertaken to identify the most relevant themes for the case. The secondary sources used included various websites, scholarly and trade journals, as well as specific databases, such as Statista.

The case exposes students in multiple disciplines to the challenges created by the COVID-19 crisis at Yale School of Medicine (YSM). It describes its remarkable effects on organizational and community members as they struggled to reimagine more inclusive and supportive spaces. As one of the most severe crises humanity has ever witnessed, COVID-19 exacerbated the existing struggles of the underrepresented communities, creating a double pandemic. It has also amplified inequities among marginalized groups including black, indigenous and people of color; women; immigrants; lesbian, gay, bisexual, transgender, queer/questioning; people with different abilities; working parents; single parents; religious minorities; and people with low income. When COVID-19 hit in 2020, Yale University School of Medicine (YSM), like other pioneering schools in the field of health care, doubled their efforts to face both the public health crisis and the substantial social turmoil (racial tensions after the death of George Floyd, food insecurity, vaccine resistance, social inequalities, etc.). Professor Marietta Vazquez, MD, who was the first Latina to be named Associate Dean for Medical Students Diversity at YSM, launched with Dr Latimore (Chief Diversity Officer) and her other colleagues many strategic initiatives aiming at improving the diversity, equity and inclusion of organizational and community members.

The case is an invitation to graduate students and students in executive education programs to reflect on the grand challenges leaders faced at YSM as well as in other institutions across the nation and the globe. It is also a call to reimagine ways leaders can accelerate the pace of change in their organizational ecosystems.

This case was written for use in graduate-level courses, including executive education dealing with Diversity, Equity, Inclusion and Belonging, Leadership and Change, Health-Care Equity/Policy, Health Sciences, Human Resource Management, Organizational Behavior, Crisis Management, Sustainability, Business and Society, Social Issues in Management, Strategy, etc. Faculty members can easily adapt the case to fit the content of the course they teach, the students’ context as well as the specific learning outcomes to be achieved.

Failure to rescue events, or events involving preventable deaths from complications, are a significant contributor to inpatient mortality. While many interventions have been designed and implemented over several decades, this patient safety issue remains at the forefront of concern for most hospitals. In the first part of this study, the development and implementation of one type of highly studied and widely adopted rescue intervention, algorithm-based patient assessment tools, is examined. The analysis summarizes how a lack of systems-oriented approaches in the design and implementation of these tools has resulted in suboptimal understanding of patient risk of mortality and complications and the early recognition of patient deterioration. The gaps identified impact several critical aspects of excellent patient care, including information-sharing across care settings, support for the development of shared mental models within care teams, and access to timely and accurate patient information.

This chapter describes the use of several system-oriented design and implementation activities to establish design objectives, model clinical processes and workflows, and create an extensible information system model to maximize the benefits of patient state and risk assessment tools in the inpatient setting. A prototype based on the product of the design activities is discussed along with system-level considerations for implementation. This study also demonstrates the effectiveness and impact of applying systems design principles and practices to real-world clinical applications.

This study aims to better understand how students’ academic strains and multilevel strengths relate to their math achievement, with a particular emphasis on underrepresented students of color and girls given the need to broaden science, technology, engineering and math (STEM) participation for these groups.

National Education Longitudinal Study of 1988 data was used for a historical examination of the various student academic strains and multilevel strengths that relate to math achievement in high school. T-tests and chi-square tests were conducted to examine differences in strains and strengths across policy-relevant student subgroups. Ordinary least squares (OLS) regression was used to examine how students’ strains and strengths related to their math achievement and the relative importance of each of these factors.

The findings suggest that both the academic strains and multilevel strengths that students’ experience in middle school are related to their high school math achievement and the prevalence of these factors varies across different policy-relevant student subgroups. Furthermore, the relative importance of these factors on achievement differs.

Studies which focus on either students’ academic challenges or their adaptive strengths fall short of a more nuanced discussion about how both factors relate to math outcomes. This study addresses this limitation and emphasizes that stakeholders who are interested in STEM diversity should consider holistic strategies for alleviating gender and racial/ethnic discrepancies in secondary math achievement.

The purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019.

The authors demonstrate the way of applying text-mining and the Word2Vec model to identify hot topics (HT) and emerging trends (ET) in clinical psychology and psychotherapy. The analysis of 11.3 million scientific publications in the Microsoft Academic Graph database revealed the most rapidly growing clinical psychology and psychotherapy terms – those with the largest increase in the number of publications reflecting real or potential trends.

The proposed approach allows one to identify HT and ET for the six thematic clusters related to mental disorders, symptoms, pharmacology, psychotherapy, treatment techniques and important psychological skills.

The developed methodology allows one to see the broad picture of the most dynamic research areas in the field of clinical psychology and psychotherapy in 2010–2019. For clinicians, who are often overwhelmed by practical work, this map of the current research can help identify the areas worthy of further attention to improve the effectiveness of their clinical work. This methodology might be applied for the identification of trends in any other subject area by taking into account its specificity.

The paper demonstrates the value of the advanced text-mining approach for understanding trends in a subject area. To the best of the authors’ knowledge, for the first time, text-mining and the Word2Vec model have been applied to identifying trends in the field of clinical psychology and psychotherapy.

Spatial olfactory design in the library appears to be a practical approach to enhance the coordination between architectural spaces and user behaviors, shape immersive activity experiences and shape immersive activity experiences. Therefore, this study aims to explore the association between the olfactory elements of library space and users’ olfactory perception, providing a foundation for the practical design of olfactory space in libraries.

Using the olfactory perception semantic differential experiment method, this study collected feedback on the emotional experience of olfactory stimuli from 56 participants in an academic library. From the perspective of environmental psychology, the dimensions of pleasure, control and arousal of users’ olfactory perception in the academic library environment were semantically and emotionally described. In addition, the impact of fatigue state on users’ olfactory perception was analyzed through statistical methods to explore the impact path of individual physical differences on olfactory perception.

It was found that users’ olfactory perception in the academic library environment is likely semantically described from the dimensions of pleasure, arousal and control. These dimensions mutually influence users’ satisfaction with olfactory elements. Moreover, there is a close correlation between pleasure and satisfaction. In addition, fatigue states may impact users’ olfactory perception. Furthermore, users in a high-fatigue state may be more sensitive to the arousal of olfactory perception.

This article is an empirical exploration of users’ perception of the environmental odors in libraries. The experimental results of this paper may have practical implications for the construction of olfactory space in academic libraries.

The purpose of this paper is to discuss recent developments in neuroscientific methods and demonstrate its potential for the service field. This work is a call to action for more service researchers to adopt promising and increasingly accessible neuro-tools that allow the service field to benefit from neuroscience theories and insights.

The paper synthesizes key literature from a variety of domains (e.g. neuroscience, consumer neuroscience and organizational neuroscience) to provide an in-depth background to start applying neuro-tools. Specifically, this paper outlines the most important neuro-tools today and discusses their theoretical and empirical value.

To date, the use of neuro-tools in the service field is limited. This is surprising given the great potential they hold to advance service research. To stimulate the use of neuro-tools in the service area, the authors provide a roadmap to enable neuroscientific service studies and conclude with a discussion on promising areas (e.g. service experience and servicescape) ripe for neuroscientific input.

The paper offers service researchers a starting point to understand the potential benefits of adopting the neuroscientific method and shows their complementarity with traditional service research methods like surveys, experiments and qualitative research. In addition, this paper may also help reviewers and editors to better assess the quality of neuro-studies in service.