Long Island University

About: Long Island University is a education organization based out in Brookville, New York, United States. It is known for research contribution in the topics: Population & Context (language use). The organization has 2647 authors who have published 4924 publications receiving 108757 citations.

‘I connected’: reflection and biography in teacher learning toward inclusion

Abstract: In this paper I examine the ways that prospective teachers studying in a university‐based, graduate‐level teacher education programme engage in reflection toward making meaning of disability. I focus on the background experiences, identities, and knowledge that teachers draw from to make meaning of social and cultural models of disability, and which relate to their developing ideas about inclusive teaching practices. Providing prospective teachers a forum to reflect and find connections between their experiences — more often as persons who do not identify as disabled — and persons with disabilities suggests one way that teacher educators can build curriculum that counters a perception of students labelled with disabilities as ‘others’, and subsequently supports teachers to propose directions for inclusive teaching.

Teachers and Field Instructors as Student Role Models: A Neglected Dimension in Social Work Education

Abstract: The social work literature often mentions the value and importance of faculty and field instructors serving as role models for students. Unlike allied disciplines, the influence of role models in social work education remains relatively unexplored. This article includes a search of two electronic databases on role models and social work education, identifies the various conceptual references the social work literature makes to the topic, and then discusses its inclusion as a variable in empirical studies. It argues that more qualitative investigation is needed into role modeling as an inextricable component of social work students' socialization to the profession.

Application of physiologically based pharmacokinetic modeling to predict drug disposition in pregnant populations.

Abstract: Pregnancy is associated with numerous physiological changes that influence absorption, distribution, metabolism and excretion. Moreover, the magnitude of these effects changes as pregnancy matures. For most medications, there is limited information available about changes in drug disposition that can occur in pregnant patients, yet most women are prescribed one or more medications during pregnancy. In this investigation, PBPK modeling was used to assess the impact of pregnancy on the pharmacokinetic profiles of three medications (metformin, tacrolimus, oseltamivir) using the Simcyp® simulator. The Simcyp pregnancy-PBPK model accounts for the known physiological changes that occur during pregnancy. For each medication, plasma concentration-time profiles were simulated using Simcyp® virtual populations of healthy volunteers and pregnant patients. The predicted systemic exposure metrics (Cmax , AUC) were compared with published clinical data, and the fold error (FE, ratio of predicted and observed data) was calculated. The PBPK model was able to capture the observed changes in Cmax and AUC across each trimester of pregnancy compared with post-partum for metformin (FE range 0.86-1.19), tacrolimus (FE range 1.03-1.64) and oseltamivir (FE range 0.54-1.02). Simcyp model outputs were used to correlate these findings with pregnancy-induced alterations in renal blood flow (metformin, oseltamivir), hepatic CYP3A4 activity (tacrolimus) and reduced plasma protein levels and hemodilution (tacrolimus). The results illustrate how PBPK modeling can help to establish appropriate dosing guidelines for pregnant patients and to predict potential changes in systemic exposure during pregnancy for compounds undergoing clinical development.