Results 171 to 180 of about 10,032,701 (265)

Mul-PheG2P: decoupled learning and prediction-space fusion enables robust and interpretable multi-phenotype genomic prediction. [PDF]

New Phytol
Wang J, Zhang Y, Li B, Piao X, Zhao X, Zhang D, Wang A, Zhang B, Wang K.   +8 more
europepmc   +1 more source

Efficient and Accurate Spatio‐Temporal Population Monitoring of Mobile Animals Using Drones and Computer Vision

Remote Sensing in Ecology and Conservation, EarlyView.
Drones and computer vision offer an efficient way to estimate animal populations over localized areas, but surveys often require stitching many overlapping images together. If animals move during the survey, traditional orthomosaic‐based counting methods become unreliable, with some animals appearing in multiple locations while others appear not at all,
Benjamin Koger, Albert B. Kao, Curry J. Cunningham, Thomas P. Quinn, Caroline Kittle, Andrew M. Berdahl   +5 more
wiley   +1 more source

Balancing gain and diversity: Optimal contribution selection for sustainable genetic improvement in sugarcane. [PDF]

Plant Genome
Vo Van-Zivkovic N, Hayes BJ, Aitken K, Dinglasan E, Morgan T, Yadav S.   +5 more
europepmc   +1 more source

One Size Does Not Fit All—Ignoring Spatial Variation in Occupancy and Detectability Underestimates the Required Number of Camera Trap Sites

Remote Sensing in Ecology and Conservation, EarlyView.
Camera trap occupancy studies often rely on simple rules of thumb that assume constant occupancy and detection across sites. Using simulations, we show that accurate occupancy estimates require 10–40 sites with no spatial variation, 20–120 with simple variation and 40–600 with complex spatial structures.
Pradeep Raj Joshi, Andreas Zedrosser, Rahel Sollmann, Nuria Selva, Simone Santoro   +4 more
wiley   +1 more source

Morphology Predicts Grade, Transcriptomics Predicts Nodal Status: Task-Dependent Modality Contributions in Multimodal Prostate Cancer Classification. [PDF]

J Imaging
Moon CE, Song HJ, Kim YS.
europepmc   +1 more source

Localizable Climate Change Education in Schools: Examining Impacts on Students' Environmental Science Agency

Science Education, EarlyView.
ABSTRACT As our daily lives become increasingly affected by climate change, school‐based science education plays a critical role in preparing students to understand and respond to this global crisis. This cohort controlled quasi‐experimental study conducted in the United States examined whether a localized climate change storyline unit compared to ...
Lindsey Mohan, Emily M. Harris, Jeffrey Snowden, Candice Guy‐Gaytán, Audrey Mohan, Dennis Lee   +5 more
wiley   +1 more source

Interpretable AI reveals hidden structure in nuclear masses. [PDF]

Commun AI Comput
Richardson KA, Trifinopoulos S, Williams M.   +2 more
europepmc   +1 more source

Advancing SDG7–SDG13 Through Technology Innovation: The Environmental Impacts of Technological Advancements in Green, Fossil, and Energy Efficiency in Türkiye

Sustainable Development, EarlyView.
ABSTRACT Identifying the principal drivers of carbon emissions is vital for designing effective mitigation strategies and supporting long‐term environmental sustainability. Although previous studies have explored multiple determinants of emissions, limited attention has been paid to the most influential energy–technology channels within trade‐dependent
Gang Kou, Mustafa Naimoğlu, Serhat Yüksel, Hasan Dinçer   +3 more
wiley   +1 more source

Combining genomic prediction and multi-trait indices through stochastic simulations: do index type and deployment order affect genetic gain? [PDF]

Theor Appl Genet
Fritsche-Neto R, Queiroz LGC, Viana J, Gupta K, Grover K, DoVale JC.   +5 more
europepmc   +1 more source

Dynamic Impact of Income Inequality on Environmental Quality in Malaysia: Insights for Climate Action Using a Stochastic Impacts by Regression on Population, Affluence, and Technology Framework

Sustainable Development, EarlyView.
ABSTRACT This study explores the dynamic influence of income inequality on environmental quality in Malaysia and offers evidence‐based recommendations for climate action and policy. Using annual data from 1990 to 2022, the analysis utilizes the Stochastic Impacts by Regression on Population, Affluence, and Technology (STIRPAT) framework combined with ...
Masahina Sarabdeen, Ahmad Mohammadi, Rafia Afroz, Hawazen Zam Almugren   +3 more
wiley   +1 more source