Understanding what variables affect ungulate neonate survival is imperative to successful conservation and management of the species. Predation is commonly cited as a cause-specific source of mortality, and ecological covariates often influence neonate survival. However, variation in survival estimates related to capture methodology has been documented with opportunistically captured neonates generally displaying greater survival than those captured via aid of vaginal implant transmitters (VITs), likely because of increased left truncation observed in the opportunistically captured datasets. Our goal was to assess whether 3- and 6-month survival estimates varied by capture method while simultaneously assessing whether capture method affected model selection and interpretation of ecological covariates for white-tailed deer neonates captured from three study sites from 2014 to 2015 in North Dakota and South Dakota, USA. We found survival varied by capture method for 3-month neonate survival with opportunistically captured neonates displaying up to 26% greater survival than their counterparts captured via VITs; however, this relationship was not present for 6-month survival. We also found model selection and subsequent interpretation of ecological covariates varied when analyzing datasets comprised of neonates captured via VITs, neonates captured opportunistically, and all neonates combined regardless of capture method. When interpreting results from our VIT-only analysis for 3-month survival, we found survival varied by three time intervals and was lowest in the first two weeks of life. Capture method did not affect 6-month survival, which was most influenced by total precipitation occurring during 3 - 8 weeks of a neonate's life and percent canopy cover found at a neonate's capture site. Our results support previous research that capture method must be accounted for when deriving survival estimates for ungulate neonates as it can impact derived estimates and subsequent interpretation of results.
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http://dx.doi.org/10.1002/ece3.7494 | DOI Listing |
Neuroimage
January 2025
College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China; Key Laboratory of Brain-Machine Intelligence Technology, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, China. Electronic address:
Dynamic brain networks (DBNs) can capture the intricate connections and temporal evolution among brain regions, becoming increasingly crucial in the diagnosis of neurological disorders. However, most existing researches tend to focus on isolated brain network sequence segmented by sliding windows, and they are difficult to effectively uncover the higher-order spatio-temporal topological pattern in DBNs. Meantime, it remains a challenge to utilize the structure connectivity prior in the DBNs analysis.
View Article and Find Full Text PDFLancet Diabetes Endocrinol
January 2025
British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, UK. Electronic address:
Background: Data on the effect of mineralocorticoid receptor antagonist therapy on HbA levels and new-onset diabetes are conflicting. We aimed to examine the effect of oral finerenone, compared with placebo, on incident diabetes in the Finerenone Trial to Investigate Efficacy and Safety Superior to Placebo in Patients with Heart Failure (FINEARTS-HF) trial.
Methods: In this randomised, double-blind, placebo-controlled trial, 6001 participants with heart failure with New York Heart Association functional class II-IV, left ventricular ejection fraction 40% or higher, evidence of structural heart disease, and elevated N-terminal pro-B-type natriuretic peptide levels were randomly assigned to finerenone or placebo, administered orally.
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 Geriatr Oncol
January 2025
Department of Surgery, Division of Surgical Oncology, Roger Williams Medical Center, Providence, RI, United States of America; Department of Surgery, Boston University Medical Center, Boston, MA, United States of America. Electronic address:
Introduction: Studies outlining the unique burden of geriatric medical conditions and syndromes among older adults undergoing major oncological surgery are lacking, along with understanding of the goals of care for this population.
Materials And Methods: We conducted a single-institutional review of the initial 50 patients who enrolled in the American College of Surgeons' Geriatric Surgery Verification Program (GSV) program implemented for those ≥65 years undergoing major oncological surgery during the year 2023. Patient variables were categorized into four domains - somatic, functional, psychological, and social.
Investigating muscle architecture in static and dynamic conditions is essential to understand muscle function and muscle adaptations. Muscle architecture analysis, primarily through extended field-of-view ultrasound imaging, offers high reliability at rest but faces limitations during dynamic conditions. Traditional methods often involve "best fitting" straight lines to track muscle fascicles, leading to possible errors, especially with longer fascicles or those with nonlinear paths.
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