Results 151 to 160 of about 4,387 (252)

Clarifying space use concepts in ecology: Range vs. occurrence distributions

open access: yesEcology, Volume 107, Issue 3, March 2026.
Abstract Quantifying animal movements is necessary for answering a wide array of research questions in ecology and conservation biology. Consequently, ecologists have made considerable efforts to identify the best way to estimate an animal's home range, and many methods of estimating home ranges have arisen over the past half a century.
Jesse M. Alston   +43 more
wiley   +1 more source

Genome-wide identification of the peanut PITP gene family and functional verification of AhSFH8 in resistance to Aspergillus flavus infection. [PDF]

open access: yesBMC Plant Biol
Cui M   +13 more
europepmc   +1 more source

Comparison of Deterministic and Probabilistic Machine Learning Algorithms for Precise Dimensional Control and Uncertainty Quantification in Additive Manufacturing

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
Implementation of deterministic and probabilistic regression algorithms on an additive manufacturing dataset for prediction of dimensional accuracy—difference from target (DFT), which is the dimensional deviation of a manufactured part from a reference computer‐aided design geometry.
Dipayan Sanpui   +4 more
wiley   +1 more source

Ramifications of generalized Feller theory. [PDF]

open access: yesJ Evol Equ
Cuchiero C, Möllmann T, Teichmann J.
europepmc   +1 more source

Quasi Opposition–Based Learning With Artificial Rabbit Optimization for Feature Selection of Breast Cancer

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
Workflow of proposed QOBL‐ARO with GS‐SVM method for BC using mammogram images. ABSTRACT Mammogram images are the most appropriate modality for breast cancer (BC) diagnosis which supports early diagnosis in women. However, the handcrafted features are insufficient for effective BC classification, which negatively impacts the model's accuracy and leads ...
Bassamma Patil   +2 more
wiley   +1 more source

Bayesian Inference for Spatially‐Temporally Misaligned Data Using Predictive Stacking

open access: yesEnvironmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Air pollution remains a major environmental risk factor that is often associated with adverse health outcomes. However, quantifying and evaluating its effects on human health is challenging due to the complex nature of exposure data. Recent technological advances have led to the collection of various indicators of air pollution at increasingly
Soumyakanti Pan, Sudipto Banerjee
wiley   +1 more source

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data

open access: yesEnvironmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT Spatial misalignment arises when datasets are aggregated or collected at different spatial scales, leading to information loss. We develop a Bayesian disaggregation framework that links misaligned data to a continuous‐domain model through an iteratively linearised integration scheme implemented with the Integrated Nested Laplace Approximation (
Man Ho Suen, Mark Naylor, Finn Lindgren
wiley   +1 more source

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