Results 121 to 130 of about 246,250 (308)

Eastern grasslands: Conservation challenges and opportunities on private lands

Wildlife Society Bulletin, 2019
Grasslands were once common in the eastern United States and provided habitat for numerous grassland‐dependent wildlife. However, native grasslands in this region have largely been eliminated as a result of conversion to other land uses (e.g., urban ...
Patrick D. Keyser, David A. Buehler, Kyle Hedges, Jef Hodges, Christopher M. Lituma, Frank Loncarich, James A. Martin   +6 more
doaj   +1 more source

Avian haemosporidians of breeding birds in the Davis Mountains sky-islands of west Texas, USA. [PDF]

Parasitology, 2023
Martinez V, Keith KD, Grace JK, Voelker G.   +3 more
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Census of breeding birds in the Pyrenees in the early 1980s: A publicly available dataset for ecological research. [PDF]

Data Brief, 2023
Génard M, Lescourret F.
europepmc   +1 more source

Automated Bacterial Identification and Morphological Feature Analysis in Low‐Dose Cryo‐EM Using YOLOv11

Advanced Intelligent Discovery, EarlyView.
AI‐based tools enable rapid characterization of bacterial ultrastructure in low‐dose cryogenic transmission electron microscopy. The envelope thickness tool quantifies membrane thickness and anisotropy. The flagella module analyzes filament morphology and detects cell‐flagella contacts.
Sita Sirisha Madugula, Lynnicia N. Massenburg, Spenser R. Brown, Amber N. Bible, Chanda R. Harris, Lance X. Zhang, Kiara Parker, Scott T. Retterer, Jennifer L. Morrell‐Falvey, Rama K. Vasudevan, Alexis N. Williams   +10 more
wiley   +1 more source

GABB: A global dataset of alpine breeding birds and their ecological traits. [PDF]

Sci Data, 2022
de Zwaan DR, Scridel D, Altamirano TA, Gokhale P, Kumar RS, Sevillano-Ríos S, Barras AG, Arredondo-Amezcua L, Asefa A, Carrillo RA, Green K, Gutiérrez-Chávez CA, Lehikoinen A, Li S, Lin RS, Norment CJ, Oswald KN, Romanov AA, Salvador J, Weston KA, Martin K.   +20 more
europepmc   +1 more source

CAUIM: Amazonian Cassava‐Based Programmable Biocolloid

Advanced Intelligent Systems, EarlyView.
Bridging indigenous heritage and computation, this work introduces the usage of cauim, a traditional Amazonian cassava fermented beverage, as a programmable memristive‐like substrate and resistance switching. The material exhibits frequency‐dependent dynamics enabling reconfigurable Boolean logic operations.
Raphael Fortulan, Noushin Raeisi Kheirabadi, Clay Palmeira, Davin Browner, Alessandro Chiolerio, Andrew Adamatzky   +5 more
wiley   +1 more source

Diversity of Tick-Borne Pathogens in Tick Larvae Feeding on Breeding Birds in France. [PDF]

Pathogens, 2022
Rataud A, Galon C, Bournez L, Henry PY, Marsot M, Moutailler S.   +5 more
europepmc   +1 more source

Upsampling DINOv2 Features for Unsupervised Vision Tasks and Weakly Supervised Materials Segmentation

Advanced Intelligent Systems, EarlyView.
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty, Antonis Vamvakeros, Samuel J. Cooper   +2 more
wiley   +1 more source

Virome in the cloaca of wild and breeding birds revealed a diversity of significant viruses. [PDF]

Microbiome, 2022
Shan T, Yang S, Wang H, Wang H, Zhang J, Gong G, Xiao Y, Yang J, Wang X, Lu J, Zhao M, Yang Z, Lu X, Dai Z, He Y, Chen X, Zhou R, Yao Y, Kong N, Zeng J, Ullah K, Wang X, Shen Q, Deng X, Zhang J, Delwart E, Tong G, Zhang W.   +27 more
europepmc   +1 more source