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This study aims to investigate student mentors' perceptions of peer mentor relationships in a health professions education program.

The design uses embodied hermeneutic phenomenology. The data comprise 10 participant interviews and visual “body maps” produced in response to guided questions.

The findings about student mentors' perceptions of peer mentor relationships include a core theme of nurturing a trusting learning community and five related themes of attunement to mentees, commonality of experiences, friends with boundaries, reciprocity in learning and varied learning spaces.

The study contributes original insights by highlighting complexity, shifting boundaries, liminality, embodied social understanding and trusting intersubjective relations as key considerations in student peer mentor relationships.

Evaluating warfighter lethality is a critical aspect of military performance. Raw metrics such as marksmanship speed and accuracy can provide some insight, yet interpreting subtle differences can be challenging. For example, is a speed difference of 300 milliseconds more important than a 10% accuracy difference on the same drill? Marksmanship evaluations must have objective methods to differentiate between critical factors while maintaining a holistic view of human performance.

Monte Carlo simulations are one method to circumvent speed/accuracy trade-offs within marksmanship evaluations. They can accommodate both speed and accuracy implications simultaneously without needing to hold one constant for the sake of the other. Moreover, Monte Carlo simulations can incorporate variability as a key element of performance. This approach thus allows analysts to determine consistency of performance expectations when projecting future outcomes.

The review divides outcomes into both theoretical overview and practical implication sections. Each aspect of the Monte Carlo simulation can be addressed separately, reviewed and then incorporated as a potential component of small arms combat modeling. This application allows for new human performance practitioners to more quickly adopt the method for different applications.

Performance implications are often presented as inferential statistics. By using the Monte Carlo simulations, practitioners can present outcomes in terms of lethality. This method should help convey the impact of any marksmanship evaluation to senior leadership better than current inferential statistics, such as effect size measures.

Marksmanship data is a staple of military and law enforcement evaluations. This ubiquitous nature creates a critical need to use all relevant information and to convey outcomes in a meaningful way for the end users. The purpose of this study is to demonstrate how simple simulation techniques can improve interpretations of marksmanship data.

This study uses three simulations to demonstrate the advantages of small arms combat modeling, including (1) the benefits of incorporating a Markov Chain into Monte Carlo shooting simulations; (2) how small arms combat modeling is superior to point-based evaluations; and (3) why continuous-time chains better capture performance than discrete-time chains.

The proposed method reduces ambiguity in low-accuracy scenarios while also incorporating a more holistic view of performance as outcomes simultaneously incorporate speed and accuracy rather than holding one constant.

This process determines the probability of winning an engagement against a given opponent while circumventing arbitrary discussions of speed and accuracy trade-offs. Someone wins 70% of combat engagements against a given opponent rather than scoring 15 more points. Moreover, risk exposure is quantified by determining the likely casualties suffered to achieve victory. This combination makes the practical consequences of human performance differences tangible to the end users. Taken together, this approach advances the operations research analyses of squad-level combat engagements.

For more than a century, marksmanship evaluations have used point-based systems to classify shooters. However, these scoring methods were developed for competitive integrity rather than lethality as points do not adequately capture combat capabilities. The proposed method thus represents a major shift in the marksmanship scoring paradigm.

Implementing peer-to-peer learning models within an academic library environment presents several benefits and challenges. This study explores the effectiveness of integrating peer-assisted learning in research services and considers the impact on those providing support and those seeking assistance. A more comprehensive understanding of peer education approaches in research support services will benefit academic libraries interested in incorporating this model.

This article showcases case study data from the reference and instruction peer-led learning programs at California State University Fullerton's Pollak Library, incorporating library interns and student assistants trained to provide front line research support to fellow students from 2019 to 2022. Feedback was collected across the learning experience from student facilitators, patrons assisted and participating library supervisors.

Project data demonstrates that incorporating students in traditional academic library research services nurtures experiential learning and serves as an effective high-impact practice. Additionally, peer-led programs contribute to a helpful, welcoming atmosphere for library users and help connect libraries to the communities they serve.

Exploring survey data and student reflections, this combined study highlights advantages and implications of incorporating peer learning programs in research services in both formal and informal instruction environments. Results also reveal promising methods for recruitment, training and sustainable program development for libraries considering this approach.

Biotech companies stand as key actors in pharmaceutical innovation. The high risk and long timelines inherent with their R&D investments might hinder their access to funding, potentially stifling innovation. This study aims to explore into the appeal of biotech companies to capital market investors, whose financial backing could bolster the growth of the biotechnology sector.

This paper uses a dataset of 774 US publicly listed biotech firms to investigate their risk and return characteristics by comparing them to pharmaceutical firms and a sample of matched non-biotech R&D-intensive firms over the sample period 1980–2021. Tests show that the conclusions remain consistent across diverse methodological approaches.

The paper shows that biotech companies are riskier than the average firm in the market index but outperform on a risk-adjusted basis both the market and a matched group of R&D-intensive firms. This is particularly true for large capitalization biotech, which is also shown to provide a diversification benefit by reducing the downside risk in past crisis periods.

This paper provides insight relevant to the current debate about the overall performance of the biotech industry in terms of policy changes and their impact on small, early-stage biotech firms. While small and early-stage biotech firms are playing an increasing role in scientific innovation, this study confirms their greater vulnerability to financial risks and the importance of access to capital markets in enabling those companies to survive and evolve into larger biotech.