Within the field of behavior analysis, turnover can impact an organization adversely due to the loss of expertise and the required replacement expenses. Turnover in behavior analysis remains poorly understood, and few investigations have studied why employees separate and how to mitigate unwanted turnover. The purpose of this discussion article is to provide an account of turnover, as well as to make recommendations to behavior-analytic service providers regarding how to perform analyses and intervene to decrease employee turnover.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314883 | PMC |
http://dx.doi.org/10.1007/s40617-019-00399-6 | DOI Listing |
Objective: To update and establish content validity for the Checklist of NICU Caregiver Behaviors.
Design: Structured literature review and Delphi analysis.
Setting/local Problem: Neonates born prematurely or who are sick in the NICU are frequently exposed to harmful stimuli that can affect brain development and result in adverse neurodevelopmental outcomes.
Int J Biol Macromol
January 2025
Department of Radiotherapy, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, Heilongjiang 150081, China. Electronic address:
In the past few years, three protein molecules-USP53, NPY2R, and DCTN1-AS1-have garnered significant attention in scientific research due to their potential implications in tumor development. Mass spectrometry and proteomics techniques were used to analyze the three-dimensional structure of these protein molecules and predict their active sites and functional domains. The effects of USP53, NPY2R and DCTN1-AS1 on biological behavior of tumor cells were studied by constructing gene knockout and overexpression cell models.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
J Surg Educ
January 2025
Department of Surgery, Faculty of Medicine and Health Sciences, McGill University, 3605 Rue de la Montagne, Montréal, QC, Canada, H3G 2M1; Institute of Health Sciences Education, Faculty of Medicine and Health Sciences, McGill University, 1110 Pine Avenue West, Montréal, QC, Canada, H3A 1A3; Steinberg Centre for Simulation and Interactive Learning, Faculty of Medicine and Health Sciences, McGill University, 3575 Park Ave, Montréal, QC, Canada H2 × 3P9; Research Institute of the McGill University Health Centre, Montreal General Hospital, 1650 Cedar Ave, R1.112, Montreal, QC, H3G 1A4. Electronic address:
Objective: This study examined the response strategies of Surgery residents as bystanders to harassment in a simulated clinical environment, their alignment with the bystander intervention model, and the motivations behind their actions.
Design: Participants watched an educational video on harassment and ways to address it prior to undergoing a simulated clinical scenario where they witnessed a senior resident harassing a medical student. The study used audio-video recordings of the simulations to capture and analyze residents' verbal and nonverbal responses to harassment.
J Hazard Mater
December 2024
College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China; Key Laboratory of Plant Nutrition and the Agro-environment in Northwest China, Ministry of Agriculture, Yangling 712100, China. Electronic address:
The interactions between microplastic-derived dissolved organic matter (MPs-DOM) and heavy metals (Cu, Pb, and Cd) regulate the complex environmental transport behavior of pollutants in terrestrial and aquatic environments. In this study, fluorescence excited emission matrix spectroscopy combined with parallel factor analysis (EEM-PARAFAC) and electrospray ionization coupled Fourier transform ion cyclotron resonance mass spectrometry (ESI FT-ICR MS) were employed to investigate the complexation mechanism of MPs-DOM with heavy metals, as well as the effects of different environmental occurrences of MPs-DOM on the transport behaviors of heavy metals in saturated porous medium. The findings demonstrated that MPs-DOM, particularly humic-like substances containing aromatic structures and various oxygen functional groups, could form stable complexes with heavy metals.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!