College of Education, University of Florida, P.O. Box 100208, Communicore Building CG-72B, Gainesville, FL 32610-0208, United states.
Published: August 2018
AI Article Synopsis
Article Abstract
Introduction: Pharmacy educators have identified that pharmacy faculty need a better understanding of educational research to facilitate improvement of teaching, curricula, and related outcomes. However, the specific faculty development needs have not been assessed. The purpose of this study was to investigate self-reported confidence among clinical doctor of pharmacy faculty in skills essential for conducting educational research.
Methods: Faculty members with primary responsibilities in teaching at the University of Florida College of Pharmacy were invited to the take the Adapted Self-Efficacy in Research Measure (ASERM). Descriptive analysis and independent samples t-tests were used to compare the self-efficacy items by faculty rank, gender, and years of experience.
Results: Twenty-two of the 37 faculty members answered the 30-item survey that identified their self-efficacy in items and categories of skills, including writing skills, statistical skills, research design, research management and dissemination in education research. Senior faculty had significantly higher confidence than junior faculty on seven items. Participants who worked more than ten years had statistically higher confidence in preparing and submitting grant proposals to obtain funding for educational research. Skills where both junior and senior faculty had low confidence were related to using non-traditional methods such as qualitative methods and identifying funding resources for educational research.
Discussion And Conclusions: Findings from the ASERM provided insights among pharmacy educators regarding self-efficacy related to skills needed for educational research, options for faculty development opportunities and actions for improving educational research knowledge and skills among them.
Background: The utilization of PD1 and CTLA4 inhibitors has revolutionized the treatment of malignant melanoma (MM). However, resistance to targeted and immune-checkpoint-based therapies still poses a significant problem.
Objective: Here, we mine large-scale MM proteogenomic data to identify druggable targets and forecast treatment efficacy and resistance.
Micellar liquid chromatography (MLC) has proven beneficial efficiency and ecological impact for routine quality control activities. In the proposed study, cyrene was investigated for the first time, together with other green additives, as a novel safe organic solvent in reversed-phase MLC. Quality-by-design (QbD) approach screened their effect on the separation performance.
Background And Objectives: The pharmacokinetics (PK) of piperacillin/tazobactam (PIP/TAZ) is highly variable across different patient populations and there are controversies regarding non-linear elimination as well as the fraction unbound of PIP (f). This has led to a plethora of subgroup-specific models, increasing the risk of misusing published models when optimising dosing regimens. In this study, we aimed to develop a single model to simultaneously describe the PK of PIP/TAZ in diverse patient populations and evaluate the current dosing recommendations by predicting the PK/pharmacodynamics (PD) target attainment throughout life.
This study utilized deep learning to optimize antihypertensive peptides from whey protein hydrolysate. Using the Large Language Models (LLMs), we identified an optimal multienzyme combination (MC5) with an ACE inhibition rate of 89.08% at a concentration of 1 mg/mL, significantly higher than single-enzyme hydrolysis.
Over the past few years there has been an alarming burst of cancer burden worldwide. Cancer stem cells (CSCs) act as hidden devils within tumors, rendering cancer therapy a strenuous goal. Recently, the ubiquitin proteasome system (UPS) was proved to be an essential contributor to the CSC phenotype.
