Establishing a national biosafety and biosecurity agency for the United States.

The rapid advancement of biological research and biotechnology requires a novel and robust regulatory agency to ensure uniform biosafety and biosecurity governance in the United States. The current fragmented regulatory landscape needs to be refocused to address the complexities of modern biological research, including risks associated with accidental, inadvertent, and deliberate biological incidents. An independent government agency, which we call the National Biosafety and Biosecurity Agency (NBBA), that is devoted to biosafety and biosecurity could effectively address these challenges. The NBBA would consolidate various regulatory functions, streamline processes, and enhance oversight. This oversight would encompass life sciences research in the United States, regardless of the source of funding or level of classification. The agency could also contribute to the bioeconomy by streamlining requirements to safeguard public health and the environment while fostering scientific and commercial progress. The proposed agency would govern high-risk biological pathogens, manage the Federal Select Agent Program, enforce policies related to dual use research of concern, pathogens with enhanced pandemic potential, and nucleic acid synthesis screening, administer regulations on the use and care of laboratory animals, as well as regulate other relevant biosafety and biosecurity activities. The goal would be to provide one-stop shopping for the biomedical research and biotechnology sectors subject to oversight by the Federal government. To ensure leadership in global biosafety and biosecurity, the agency's mission would include international collaboration, applied research, education, workforce development, and coordination with national security initiatives. Creating an agency like the NBBA will be politically challenging but presenting a comprehensive vision and engaging stakeholders early and frequently, and being transparent in the process, will be essential for garnering support. Creating a unified biosafety and biosecurity governance system in the United States will ensure the safe and secure advancement of biological research while sustaining innovation and maintaining international competitiveness.

Charity Scott: Teacher, Mentor, Collaborator, Interdisciplinarian.

Charity Scott brought health law to Georgia State College of Law in the fall of 1987. Through her faculty appointment, along with her boundless energy and intellectual curiosity, she set herself on an odyssey. She began by teaching a single general health law class. This beginning led to the development of a full curriculum in the field, complete with experiential learning opportunities and a certificate in health law program. In addition to creating learning and career opportunities in health law for law students, her development of the Center for Health, Law and Society created academic opportunities for leading health law faculty.

The Role of the Public Health Nurse in Collaborative Efforts to Manage COVID-19 in a Rural Hispanic Population: A Qualitative Inquiry.

INTRODUCTION: While local health departments (LHDs) recognize the need to provide culturally congruent care to rural Hispanic populations, the COVID-19 pandemic tested their capacity to leverage available knowledge, skills, and resources to integrate effective transcultural collaborations to improve health outcomes. METHODOLOGY: Twelve semi-structured interviews of community leaders were conducted and interpreted using qualitative thematic analysis. The role of the LHD's Public Health Nurse (PHN) in the pandemic response was examined using the Public Health Intervention Wheel (2019), specifically collaboration, coalition-building, and community organizing components. RESULTS: The PHN directed the community response to the pandemic. Four pivotal themes emerged from the data: identifying gaps, forming alliances, putting boots on the ground, and moving forward. DISCUSSION: The need to provide culturally congruent care to the Hispanic population required the development of transcultural knowledge through multi-faceted strategies. Sustaining relationships borne out of the pandemic is important to enhance community response to future disasters.

New IPEC Competencies, the State of the Science, and a Focus on Equity.

From the value of team-based patient care to the focus on the learner, the 2023 Interprofessional Education Collaborative Core Competencies include a more succinct approach to collaborative care. We review the changes and note their potential impacts on collaborative practice.

Assessing Interprofessional Collaboration at Clinical Learning Sites: Methodology on Developing the IP-CLEAR Tool.

Interprofessional Clinical Learning Environment Assessment and Reflection (IP-CLEAR) tool was developed by a team of faculty from the schools of nursing, pharmacy, and medicine at University of North Carolina at Chapel Hill (UNC-CH), with the support of the North Carolina Area Health Education Consortium (NC AHEC) and the UNC-CH Office of Interprofessional Education and Practice (IPEP). The IP-CLEAR tool is intended for use by clinical sites that have or want to have clinical learners engaged and integrated into an excellent interprofessional CLE. The development of the IP-CLEAR and projections for future work are described here.

"It Takes a Village"- A Conversation with the Interprofessional Diabetes Clinic at the ECU Health Family Medicine Center.

Interprofessional collaboration and shared understanding positively impact both patients and providers. Current recommendations from the CDC and experts agree that collaboration between diverse professions is necessary to improve patient outcomes and empower patients to selfmanage their chronic conditions.

Learning from COVID-19: strengthening Australia's research capacity through preparedness and collaboration.

Summary: The coronavirus disease 2019 (COVID-19) pandemic has highlighted that preparedness for and responsiveness to pandemics requires public health platforms and processes which are nimble and evidence-based and a research ecosystem which is rapidly responsive to the evolving needs of society and decision-makers. The national BEAT COVID-19 research consortium was funded in 2020 by the Snow Medical Research Foundation (Snow Medical). Its Expert Advisory Committee met with the consortium post-pandemic to summarise the research undertaken and to consider lessons learned through the research response to COVID-19 in Australia. The panel observed that philanthropy offered an important 'kick-starter' funding mechanism for urgent research, which facilitated leveraging of additional funds. It further agreed that research requirements for strengthening Australia's pandemic preparedness and response include: (1) development of a national health and medical research strategy for pandemic research; (2) long-term investment in pre-established research partnerships and networks; (3) systemic procedural improvements, e.g. in ethics, governance and resource allocation; (4) responsive funding mechanisms including philanthropy; and (5) integration of research outputs into health practice and decision-making, as illustrated in Figure 1.

Collaboration, crowdsourcing, and misinformation.

One of humanity's greatest strengths lies in our ability to collaborate to achieve more than we can alone. Just as collaboration can be an important strength, humankind's inability to detect deception is one of our greatest weaknesses. Recently, our struggles with deception detection have been the subject of scholarly and public attention with the rise and spread of misinformation online, which threatens public health and civic society. Fortunately, prior work indicates that going beyond the individual can ameliorate weaknesses in deception detection by promoting active discussion or by harnessing the "wisdom of crowds." Can group collaboration similarly enhance our ability to recognize online misinformation? We conducted a lab experiment where participants assessed the veracity of credible news and misinformation on social media either as an actively collaborating group or while working alone. Our results suggest that collaborative groups were more accurate than individuals at detecting false posts, but not more accurate than a majority-based simulated group, suggesting that "wisdom of crowds" is the more efficient method for identifying misinformation. Our findings reorient research and policy from focusing on the individual to approaches that rely on crowdsourcing or potentially on collaboration in addressing the problem of misinformation.

Pharmacist and veterinarian collaboration in Klang Valley, Malaysia: A veterinarians' perception.

Background: The collaboration between pharmacists and veterinarians plays a crucial role in ensuring optimal animal healthcare. Understanding the willingness of veterinarians to collaborate with pharmacists and analyzing the prescribing trends by veterinarians are essential factors in improving the quality of veterinary care. By analyzing these aspects, valuable insights can be gained to enhance interprofessional collaboration and optimize medication management in veterinary practice. Objectives: To examine the willingness of veterinarians towards interprofessional collaboration with community pharmacist. Methods: A cross-sectional study was conducted among 40 veterinary clinics in Klang Valley, Malaysia. Data was collected via online using Google Forms from registered veterinarians working in private veterinary clinics in Klang Valley, Malaysia. Descriptive statistics and statistical analysis were performed using SPSS version 27. Results: The overall willingness of veterinarians to collaborate with community pharmacists was measured with a median score of 51 out of 75. The results indicated that 55 % of veterinarians demonstrated high willingness to collaborate. Specifically, 52.5 % of veterinarians had a positive attitude towards collaboration, 55 % recognized the roles of pharmacists positively, and 57.5 % identified barriers to collaboration. These findings highlight a generally positive inclination towards interprofessional collaboration among veterinarians. Conclusion: More veterinarians demonstrated a positive willingness to collaborate with pharmacists for optimal patient care. However, several constraints were identified, including a lack of face-to-face communication, concerns about pharmacists' knowledge or skills in veterinary medicine, and financial interests. Addressing these issues could further enhance collaboration between veterinarians and pharmacist.

Exploring the entrepreneurial landscape of university-industry collaboration on public university spin-off creation: A systematic literature review.

Research into the factors influencing university-industry collaboration on public university spin-offs creation has focused on management, entrepreneurship, technology and innovation. This research began with a careful systematic literature review of 4427 scientific papers published in the last ten years (2014-2023) and accessible in the prestigious Web of Science core collection. A quantitative methodology was used, complemented by the use of the visual analysis tool Posit PBC™, formerly known as R Cloud Studio. This comprehensive approach facilitated the seamless ingestion of raw data into Biblioshyni, which is a web-based platform specialised in bibliometric analysis. This review has revealed compelling trends, particularly in terms of increasing diversity, the emergence of United Kingdom as a major player, and the central role of university-industry collaboration. Our systematic review identified influential authors in the field, including the prolific contributions of scholars such as D. Radicid, S. Ropers, Y. Li and R. Owen. We also identified important research institutions, such as Utrecht University in Netherlands, Lund University in Sweden and The University of Manchester in the UK. In addition, we have shown that countries such as the United Kingdom, China and USA have made a significant contribution to the volume of publications. The results highlighted a marked increase in the phenomenon of univeristy spin-offs over the past decade, as evidenced by the exponential growth in both publication output and citation rates. This empirical revelation was underpinned by a rigorous exploration of the Web of Science database, using a carefully crafted set of keywords. Thirty-seven pivotal studies were selected for in-depth review through a sophisticated selection process that adhered to the rigorous standards of the PRISMA methodology. The aim of this review is to improve understanding and encourage deeper exploration of spin-off-based public universities through collaboration between academia and industry.

Causal evidence for social group sizes from Wikipedia editing data.

Human communities have self-organizing properties in which specific Dunbar Numbers may be invoked to explain group attachments. By analysing Wikipedia editing histories across a wide range of subject pages, we show that there is an emergent coherence in the size of transient groups formed to edit the content of subject texts, with two peaks averaging at around N = 8 for the size corresponding to maximal contention, and at around N = 4 as a regular team. These values are consistent with the observed sizes of conversational groups, as well as the hierarchical structuring of Dunbar graphs. We use a model of bipartite trust to derive a scaling law that fits the data and may apply to all group size distributions when these are based on attraction to a seeded group process. In addition to providing further evidence that even spontaneous communities of strangers are self-organizing, the results have important implications for the governance of the Wikipedia commons and for the security of all online social platforms and associations.

The Barriers to Cardiothoracic Surgery Training in Nigeria: Key Insights From Trainees.

Aim Cardiothoracic surgery has the potential to improve care in resource-deprived countries like Nigeria. This study analyzes the barriers to training in cardiothoracic surgery and gaps in the existing curriculum from a cardiothoracic surgery trainee perspective. Methods An online nationwide mixed-method cross-sectional survey was conducted. The participants were from a pool of senior residents in cardiothoracic surgery. A five-point Likert scale was utilized to rate and evaluate their training experiences. The motivations for choosing cardiothoracic surgery, gaps in the training curriculum, perceived barriers, and facilitators in their training programs were also assessed. The survey included closed and open-ended questions to capture quantitative data and qualitative insights. The quantitative data were analyzed using SPSS 21 (Armonk, NY: IBM Corp), while the qualitative data were analyzed using MAXQDA 24 (Berlin, Germany: VERBI Software). Results Sixteen senior cardiothoracic surgery residents completed the survey. Thematic grouping identified several key barriers, such as low case volume, lack of infrastructure and equipment, and reduced trainee autonomy during cases. The significant deficiencies in the existing curriculum are the absence of clear minimum competencies, lack of local and international collaboration, and robust cardiac training. In low-resource settings like Nigeria, government participation and improved funding, increased collaboration between local and international programs, and establishment of regional centers may offer solutions and successful implementation of cardiothoracic surgery training and improve access to surgical care. Conclusion Cardiothoracic trainees are highly interested in their training despite several barriers. Increased funding, collaboration, and infrastructure development will help improve the training experience.

Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots.

Human activity recognition (HAR) and brain-machine interface (BMI) are two emerging technologies that can enhance human-robot collaboration (HRC) in domains such as industry or healthcare. HAR uses sensors or cameras to capture and analyze the movements and actions of humans, while BMI uses human brain signals to decode action intentions. Both technologies face challenges impacting accuracy, reliability, and usability. In this article, we review the state-of-the-art techniques and methods for HAR and BMI and highlight their strengths and limitations. We then propose a hybrid framework that fuses HAR and BMI data, which can integrate the complementary information from the brain and body motion signals and improve the performance of human state decoding. We also discuss our hybrid method's potential benefits and implications for HRC.

The approach of Norm Balance in predicting pharmacists' intention to collaborate with physicians to improve medication therapy.

Objective: Norm Balance is an approach under the Theory of Planned Behavior (TPB) where subjective norm is weighted by the relative importance of others and self-identity is weighted by the relative importance of self. The relative importance was measured previously by a trade-off measure. In this study, we developed separate measures for the relative importance. The study objectives were to: 1) assess the construct validity of the separate measures; 2) examine the approach of Norm Balance in predicting pharmacists' intention to collaborate with physicians to improve medication therapy; and 3) establish a modified TPB. Methods: We selected a random sample of 750 Iowa pharmacists and conducted two surveys. The first survey was to examine intention prediction, and the second survey was to examine behavior prediction by measuring behavior among respondents to the first survey. The relative importance was measured by both the trade-off measure and the separate measures. Exploratory factor analyses were performed for the relative importance of others (separate measures) and subjective norm, and for the relative importance of self (separate measures) and self-identity. Regressions for intention prediction were conducted for TPB with self-identity and the approach of Norm Balance. The same regressions were also conducted for three subgroups according to the median of the relative importance of others (trade-off measure). Moreover, another regression was conducted for behavior prediction. Results: 239 practicing pharmacists responded to the first survey, and 188 responded to the second survey. The separate measures had cross factor loadings, whereas the trade-off measure had low correlations with other constructs. Both regressions for intention prediction explained 75% of the variance, with self-efficacy and attitude being strong predictors. Self-identity was not a predictor in the TPB with self-identify, but self-identity weighted by the relative importance of self was a significant predictor in the approach of Norm Balance. Regression coefficients of subjective norm and self-identify varied across subgroups. The regression for behavior prediction explained 30% of the variance, with intention and self-efficacy being two predictors. Conclusion: The trade-off measure was better than separate measures. The approach of Norm Balance appears to be a better model than the TPB with self-identity to examine pharmacist-physician collaboration.

Deepening our understanding: Collaboration through online peer-to-peer participatory action research with children.

Child-led research is growing globally, yet there are still limitations for children's leadership in all phases of research. This article, co-written with adult and child researchers, examines child-led research undertaken online with 9 children from Ontario and Quebec over a one-year period. The article explores the process of participating in and collaborating on an online peer-to-peer participatory action research project from the brainstorming stage to recruitment, design, data collection, analysis, and dissemination of knowledge. While much literature exists on older children and youth leading research, this research provides a unique contribution to the literature on the possibilities of creating space for children ages 11 to 14 to lead research. This article finds that the child researchers most valued: (1) Play and fun; (2) Engaging in new experiences; and (3) Learning. The article concludes that child-led research is feasible, and it can create better research and provide a transformative opportunity for child and adult researchers.

Developing a foundation information and academic skills programme for potential Student Nursing Associates.

This article outlines the development of 'Prepare to Progress', a preapplication programme for potential Student Nursing Associate (SNA) applicants at Gloucestershire Hospitals NHS Foundation Trust. Created collaboratively by the Trust's Library and Knowledge Services and Professional Education teams, the programme aims to provide realistic course expectations, teach study skills and boost confidence in using library services. Evaluation results indicate increased understanding of the SNA course, improved application decision-making, and enhanced academic confidence among participants. The programme demonstrates the valuable role of library services in preparing healthcare support workers for further education and addressing library anxiety. The study suggests benefits for both participants and library services.

Understanding the importance of therapeutic alliance during physiotherapy treatment for musculoskeletal pain in children: a scoping review.

Introduction: Musculoskeletal pain affecting children is common. Rehabilitation and treatment effectiveness can be influenced by multiple individual and contextual factors. The need for more rigorous evaluation of physiotherapy treatment for children's pain, identification of the role of specific techniques, and exploration of the influence of the therapeutic alliance is needed. This scoping review of research aimed to examine: (1) What are the perceptions of children, parents, and physiotherapists about the importance of therapeutic alliance during musculoskeletal pain treatment? (2) What are the key characteristics of therapeutic alliance during a child's musculoskeletal pain treatment from the perspectives of children, parents, and physiotherapists? and (3) What are the perceived impacts of therapeutic alliance (positive and negative) during a child's physiotherapy treatment for musculoskeletal pain? Methods: The scoping review, based on Arksey and O'Malley's framework and reporting was guided by PRISMA-ScR. The search strategy was based on three concept blocks: (1) Study population: Children (<18 years); (2) Medical condition: Any musculoskeletal pain (acute, chronic primary, chronic secondary); (3) Intervention: Qualitative exploration of experience of physiotherapy treatment delivered by a physiotherapist from the perspective of a child, parent, or physiotherapist. The search (no date limit) was conducted in February 2024 across Medline, AMED and CINAHL. Results: Following duplicate removal and assessment of eligibility of the initial 236 articles, nine articles were included; of these, only one specifically aimed to explore therapeutic alliance and it was the only paper to directly mention therapeutic alliance. All nine articles presented the child's experience. One overarching theme "Finding resilience within me through therapeutic alliance" and three main themes: "A trusted guide through the ups and the downs of rehabilitation"; "Having a route map"; and "Take me seriously but make it fun" were identified. Discussion: Therapeutic alliance was considered important by children, parents and physiotherapist and it influenced child and parent perceptions of physiotherapy and overall treatment outcomes. Physiotherapists can foster the children's resilience when experiencing musculoskeletal pain by providing disciplinary expertise, connecting and collaborating with the child by becoming their trusted guide, and co-creating a route map for rehabilitation by helping them to learn about their body, pain and recovery timeline.

Implementation of an Automated System Using Machine Learning Models to Accelerate the Process of In Silico Identification of Small Molecules As Drug Candidates.

Drugs are commonly utilized to diagnose, cure, or prevent the occurrence of diseases, as well as to restore, alter, or change organic functions. Drug discovery is a time-consuming, costly, difficult, and inefficient process that yields very few medicinal breakthroughs. Drug research and design involves the capturing of structural information for biological targets and small molecules as well as various in silico methods, such as molecular docking and molecular dynamic simulation. This article proposes the idea of expediting computational drug development through a collaboration of scientists and universities, similar to the Human Genome Project using machine learning (ML) strategies. We envision an automated system where readily available or novel small molecules (chemical or plant-derived), as well as their biological targets, are uploaded to an online database, which is constantly updated. For this system to function, machine learning strategies have to be implemented, and high-quality datasets and high quality assurance of the ML models will be required. ML can be applied to all computational drug discovery fields, including hit discovery, target validation, lead optimization, drug repurposing, and data mining of small compounds and biomolecule structures. Researchers from various disciplines, such as bioengineers, bioinformaticians, geneticists, chemists, computer and software engineers, and pharmacists, are expected to collaborate to establish a solid workflow and certain parameters as well as constraints for a successful outcome. This automated system may help speed up the drug discovery process while also lowering the number of unsuccessful drug candidates. Additionally, this system will decrease the workload, especially in computational studies, and expedite the process of drug design. As a result, a drug may be manufactured in a relatively short time.