Results 181 to 190 of about 14,609 (251)

ESO: An evolutionary algorithm for efficient model reduction via automated frequency band selection in passive acoustic monitoring

Methods in Ecology and Evolution, EarlyView.
Abstract Passive acoustic monitoring (PAM) is an important tool for wildlife monitoring. Deep learning, particularly convolutional neural networks (CNNs), has become the standard approach for developing bioacoustic classifiers. However, real‐time classification remains challenging due to the high computational complexity of these models and the need ...
Lorène Jeantet, Ufuk Çakır, Joel Lontsi, Albert Agisha, Emmanuel Dufourq   +4 more
wiley   +1 more source

Early psychosocial deprivation alters the refinement of neural dynamics across adolescence. [PDF]

Proc Natl Acad Sci U S A
Andujar M, Liuzzi L, Pine DS, Nelson CA, Zeanah CH, Fox NA, Averbeck BB.   +6 more
europepmc   +1 more source

Genomic Assessment of Reintroduced African Wild Dogs Informs Conservation Translocations

Animal Conservation, EarlyView.
Few reintroduction and translocation programs incorporate genomic assessments into management planning, despite ongoing debate over how founder individuals should be selected. Here, we assess the genomic composition of reintroduced African wild dog (Lycaon pictus) populations in private reserves in South Africa, comparing them with a free‐roaming ...
Michou Weimar, Cole du Plessis, Rosemary Groom, Bettine Jansen van Vuuren, Laura Tensen   +4 more
wiley   +1 more source

Enhancing the Generalizability of Deep Learning-Based Models for Lung Field Segmentation in Chest Radiographs Using Edge-Assisted Multiscale Feature Fusion. [PDF]

Int J Biomed Imaging
Andrabi T, Bhat SY.
europepmc   +1 more source

Environmental drivers influencing the ambrosia beetle community: The primary role of geographic and climatic drivers in chestnut‐growing areas

Agricultural and Forest Entomology, EarlyView.
Ethanol‐baited traps were placed in cultivated chestnut orchards (a) and mixed environments with assorted tree composition (b), over a 2‐year monitoring period in two valleys (NW Italy). A total of 118,286 ambrosia beetles was collected, representing six species.
Eleonora Vittoria Fontana, Chiara Ferracini   +1 more
wiley   +1 more source

Electroacupuncture prevents CUMS induced depressive-like behaviors by inhibiting microglia-mediated synaptic pruning induced by gut dysbiosis. [PDF]

Chin Med
Zhang L, Quan J, Nie L, He S, Lin Y, Liu X, Zhang Y, Zhuang L, Jia C, Li M, Wang Q, Duan L.   +11 more
europepmc   +1 more source

The immunological landscape of the area postrema in neuromyelitis optica spectrum disorders

Brain Pathology, EarlyView.
Aquaporin‐4 antibody‐positive neuromyelitis spectrum disorder is characterized by large tissue destructive lesions in medulla, spinal cord, and optic nerves, with only partial recovery from clinical symptoms, and by lesions with very little tissue destruction and mostly complete recovery from clinical symptoms, as seen in the area postrema ...
Qian Yu, Yoshiki Takai, Naoya Yamazaki, Sarah Brandl, Katharina M. Mair, Thibault Bouderlique, Maria Eleni Kastriti, Igor Adameyko, Romana Höftberger, Markus Reindl, Jan Bauer, Monika Bradl   +11 more
wiley   +1 more source

CLIP-TLNet: Canopy light interception prediction with Transformer-LSTM network through 3D complexity-temporal dynamics modeling. [PDF]

Plant Phenomics
Yang M, Gao Y, Xi B, Wang X, Huang Q, Meng W.   +5 more
europepmc   +1 more source

Decoding functional specialization in G protein‐coupled receptors (GPCRs) through evolution‐guided residue profiling

British Journal of Pharmacology, EarlyView.
Background and Purpose G protein‐coupled receptors (GPCRs) are integral membrane proteins that mediate physiological processes by enabling cells to detect and respond to diverse stimuli. Although many subfamily‐specific functional hotspots have been described, the family‐wide determinants of common and subfamily‐specific functions remain incomplete ...
Berkay Selçuk, Gunnar Schulte, Igor B. Zhulin, Ogün Adebali   +3 more
wiley   +1 more source

A pruned and parameter-efficient Xception framework for skin cancer classification. [PDF]

PLoS One
Kılıç Ş, Doğan Y.
europepmc   +1 more source