Evolution of an obstetrics and gynecology interprofessional simulation-based education session for medical and nursing students.

Simulation and Objective Structured Clinical Examination assessment of learners can teach clinical skills proficiency in a safe environment without risk to patients. Interprofessional simulation-based education (IPSE) contributes to a transformation in students' understanding of teamwork and professional roles. Long term outcomes for stimulation and IPSE sessions, are less well studied.

A Professional Development Workshop to Facilitate Self-Forgiveness.

Background: Evidence suggests that forgiving one's self, others, and events improves relationships and self-esteem; reduces anxiety, depression, and stress; lowers blood pressure; improves cardiovascular health; and boosts immune function.

Objective: We determined the efficacy of a workshop to facilitate forgiveness in medical education professionals.

Methods: A 1-hour self-forgiveness workshop conducted by 4 facilitators was presented at a medical education conference in 2018.

QSARpy: A new flexible algorithm to generate QSAR models based on dissimilarities. The log Kow case study.

Several methods exist to develop QSAR models automatically. Some are based on indices of the presence of atoms, other on the most similar compounds, other on molecular descriptors. Here we introduce QSARpy v1.

Autonomic Nervous System Team-Based Learning Module.

Introduction: The team-based learning (TBL) instructional strategy promotes learning and retention, enhances student engagement, allows for a deeper understanding of foundational and applied concepts, and helps students' develop lifelong learning skills. The autonomic nervous system (ANS) TBL was created for first-year medical students in the Neuroscience 1 course at Oakland University William Beaumont School of Medicine.

Methods: The module covered the pathophysiology of ANS-related diseases and therapeutic agents that impact ANS function.

A new in silico classification model for ready biodegradability, based on molecular fragments.

Regulations such as the European REACH (Registration, Evaluation, Authorization and restriction of Chemicals) often require chemicals to be evaluated for ready biodegradability, to assess the potential risk for environmental and human health. Because not all chemicals can be tested, there is an increasing demand for tools for quick and inexpensive biodegradability screening, such as computer-based (in silico) theoretical models. We developed an in silico model starting from a dataset of 728 chemicals with ready biodegradability data (MITI-test Ministry of International Trade and Industry).

An open source multistep model to predict mutagenicity from statistical analysis and relevant structural alerts.

Background: Mutagenicity is the capability of a substance to cause genetic mutations. This property is of high public concern because it has a close relationship with carcinogenicity and potentially with reproductive toxicity. Experimentally, mutagenicity can be assessed by the Ames test on Salmonella with an estimated experimental reproducibility of 85%; this intrinsic limitation of the in vitro test, along with the need for faster and cheaper alternatives, opens the road to other types of assessment methods, such as in silico structure-activity prediction models.

[Social anxieties in a clinical sample].

Under the label of social phobia a complex of ailments was introduced into the syndromal diagnostic classification system of ICD-10 and DSM-IV, which is characterized by fear of embarrassing and humiliating experiences in relation to other persons. According to our experiences, however, social phobias and other problems in interpersonal relations are not yet paid the clinical attention that these problems deserve, when the severity of impairments subjects affected by social phobias suffer from is taken into account. There is a considerable lack of research of the psychodynamic aspects of social phobia as well.