Moving-habitat models aim to characterize conditions for population persistence under climate-change scenarios. Existing models do not incorporate individual-level movement behavior near habitat edges. These small-scale details have recently been shown to be crucially important for large-scale predictions of population spread and persistence in patchy landscapes. In this work, we extend previous moving-habitat models by including individual movement behavior. Our analysis shows that populations might be able to persist under faster climate change than previous models predicted. We also find that movement behavior at the trailing edge of the climatic niche is much more important for population persistence than at the leading edge.
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http://dx.doi.org/10.1007/s00285-018-1244-8 | DOI Listing |
Sci Rep
January 2025
Department of Orthopaedic and Trauma Surgery, Musculoskeletal University Center Munich (MUM), Campus Grosshadern, Ludwig Maximilians University Munich, Munich, Germany.
In modern knee arthroplasty, surgeons increasingly aim for individualised implant selection based on data-driven decisions to improve patient satisfaction rates. The identification of an implant design that optimally fits to a patient's native kinematic patterns and functional requirements could provide a basis towards subject-specific phenotyping. The goal of this study was to achieve a first step towards identifying easily accessible and intuitive features that allow for discrimination between implant designs based on kinematic data.
View Article and Find Full Text PDFNeurosci Biobehav Rev
January 2025
Laboratory of Molecular and Systems Neurobiology, Department of Physiology and Neurobiology, Eötvös Loránd University.
The role of prolactin in sleep regulation has been the subject of extensive research over the past 50 years, resulting in the identification of multiple, disparate functions for the hormone. Prolactin demonstrated a characteristic circadian release pattern with elevation during dark and diminution during light. High prolactin levels were linked to non-rapid eye movement sleep and electroencephalogram delta activity in humans.
View Article and Find Full Text PDFVision Res
January 2025
Centre for Brain and Behaviour, School of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK.
The traditional understanding of brain function has predominantly focused on chemical and electrical processes. However, new research in fruit fly (Drosophila) binocular vision reveals ultrafast photomechanical photoreceptor movements significantly enhance information processing, thereby impacting a fly's perception of its environment and behaviour. The coding advantages resulting from these mechanical processes suggest that similar physical motion-based coding strategies may affect neural communication ubiquitously.
View Article and Find Full Text PDFPhys Sportsmed
January 2025
Faculty of Sport and Physical Education, University of Novi Sad, Novi Sad, Serbia.
Purpose: This systematic review aims to synthesize the current research on doping in combat sports, examining the prevalence, detection methods, prevention strategies, and overall impact on combat sports.
Design/methodology/approach: Of the 21 identified articles, six met the inclusion criteria. A systematic approach was used, including content analysis based on specific criteria: articles in English, original research, and relevance to sport and doping.
Orthod Craniofac Res
January 2025
Department of Health Sciences, School of Dentistry, Magna Graecia University of Catanzaro, Catanzaro, Italy.
Objective: This retrospective study aimed to evaluate morphometric changes in mandibular condyles of patients with skeletal Class III malocclusion following two-jaw orthognathic surgery planned using virtual surgical planning (VSP) and analysed with automated three-dimensional (3D) image analysis based on deep-learning techniques.
Materials And Methods: Pre-operative (T1) and 12-18 months post-operative (T2) Cone-Beam Computed Tomography (CBCT) scans of 17 patients (mean age: 24.8 ± 3.
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