Not Just Another Committee: How to Create a College-Specific Framework to Support Interprofessional Education.

During the 2019-2020 academic year, the Southeast Missouri State University College of Education, Health, and Human Studies initiated a college-level Interprofessional Education (IPE) Committee to identify methods for collaboration, interprofessional research opportunities, and cross-disciplinary learning experiences. The IPE Committee determined that IPE was an installed component of the healthcare majors, without significant interactions between programs, and non-healthcare programs were omitted from formal IPE efforts. The exclusion of the non-healthcare academic majors from traditional healthcare initiatives limited faculty and student interactions, notably between the educator preparatory and healthcare programs.

Quantitative Structure-Activity Relationship Machine Learning Models and their Applications for Identifying Viral 3CLpro- and RdRp-Targeting Compounds as Potential Therapeutics for COVID-19 and Related Viral Infections.

In response to the ongoing COVID-19 pandemic, there is a worldwide effort being made to identify potential anti-SARS-CoV-2 therapeutics. Here, we contribute to these efforts by building machine-learning predictive models to identify novel drug candidates for the viral targets 3 chymotrypsin-like protease (3CLpro) and RNA-dependent RNA polymerase (RdRp). Chemist-curated training sets of substances were assembled from CAS data collections and integrated with curated bioassay data.

A strengths, weaknesses, opportunities, and threats analysis- A study of Association of Community/Public Health Nursing Educators members.

Objective: Aims of this study were to identify the Association of Community/Public Health Nursing Educators members' demographics, educational preparation, and research competencies; and, to complete a strengths, weaknesses, opportunities, and threats (SWOT) analysis.

Methods: A descriptive-correlational design was employed. Primary data collection was via electronic survey.

Potential Therapeutic Agents and Associated Bioassay Data for COVID-19 and Related Human Coronavirus Infections.

The COVID-19 pandemic, caused by the novel coronavirus SARS-CoV-2, has led to several million confirmed cases and hundreds of thousands of deaths worldwide. To support the ongoing research and development of COVID-19 therapeutics, this report provides an overview of protein targets and corresponding potential drug candidates with bioassay and structure-activity relationship data found in the scientific literature and patents for COVID-19 or related virus infections. Highlighted are several sets of small molecules and biologics that act on specific targets, including 3CLpro, PLpro, RdRp, S-protein-ACE2 interaction, helicase/NTPase, TMPRSS2, and furin, which are involved in the viral life cycle or in other aspects of the disease pathophysiology.

The Omaha System as a Structured Instrument for Bridging Nursing Informatics With Public Health Nursing Education: A Feasibility Study.

Advancements in healthcare systems include adoption of health information technology to ensure healthcare quality. Educators are challenged to determine strategies to integrate health information technology into nursing curricula for building a nursing workforce competent with electronic health records, standardized terminology, evidence-based practice, and evaluation. Nursing informatics, a growing specialty field, comprises health information technology relative to the profession of nursing.