Results 141 to 150 of about 276,034 (269)

Single‐Field Evolution Rule Governs the Dynamics of Representational Drift in Mouse Hippocampal Dorsal CA1 Region

open access: yesAdvanced Science, Volume 13, Issue 8, 9 February 2026.
Long‐term hippocampal place‐code dynamics are investigated using calcium imaging across weeks of maze navigation. Analyses reveal a novelty‐irrelevant Single‐Field Evolution Rule (SFER), where active fields promote persistence and inactive fields decline.
Cong Chen   +10 more
wiley   +1 more source

Deformation Prediction of 4D‐Printed Active Composite Structures Based on Data Mining

open access: yesAdvanced Science, Volume 13, Issue 7, 3 February 2026.
A curvature‐driven sequence point generation (CSPG) algorithm based on data mining is proposed to predict the deformation of double‐layer voxelized composite structures of arbitrary lengths. In addition, the CSPG algorithm is applied to predict the deformation of 2D and 3D structures assembled from beam elements, and its effectiveness is validated ...
Mengtao Wang   +6 more
wiley   +1 more source

Dynamic Memory‐Augmented Whale Optimization Algorithm (DMA‐WOA) as Feature Descriptor for Polycystic Ovary Syndrome Detection

open access: yesApplied AI Letters, Volume 7, Issue 1, February 2026.
Proposed approach for this study. ABSTRACT This study introduces a dynamically memory‐adjusted whale optimization algorithm (DMA‐WOA) for feature selection in polycystic ovary syndrome (PCOS) diagnosis. To overcome the standard WOA's limitations in balancing exploration and exploitation, DMA‐WOA incorporated adaptive memory control to improve ...
Daniel Kwame Amissah   +4 more
wiley   +1 more source

Серый журавль grus grus в северном Подмосковье

open access: yesРусский орнитологический журнал, 2016
Второе издание. Первая публикация: Гринченко О.С. 2015. Серый журавль в Северном Подмосковье // 14-я Международ. орнитол. конф. Северной Евразии. 1. Тезисы. Алматы: 152-153.
openaire   +1 more source

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

open access: yesApplied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani   +3 more
wiley   +1 more source

Grulla común – Grus grus (Linnaeus, 1758)

open access: yes, 2015
Aves - Orden Gruiformes - Familia Gruidae en la Enciclopedia Virtual de Vertebrados Españoles, http://www.vertebradosibericos.org/. Versiones anteriores: 30-09-2003; 6-03-2007; 7-03-2008; 8-04-2009; 10-06-2014 A comprehensive review of the natural history of the Common Crane Grus grus in Spain.
openaire   +1 more source

River Connectivity in Dammed Areas Studied Through Environmental DNA Metabarcoding at Community and Species Levels

open access: yesAquatic Conservation: Marine and Freshwater Ecosystems, Volume 36, Issue 2, February 2026.
ABSTRACT The field of environmental DNA (eDNA) is rapidly expanding with established applications in biodiversity monitoring, rare species detection and ecological assessment. However, its potential to evaluate species connectivity in fragmented aquatic systems remains underexplored.
Sara Fernández   +2 more
wiley   +1 more source

Age‐Specific Survival Estimation of a Eurasian Crane Population Highlights a Long‐Term Decline in Juvenile Survival

open access: yesEcology and Evolution, Volume 16, Issue 2, February 2026.
The Eurasian crane (Grus grus), a symbol of conservation success in Europe, has made an impressive recovery. However, our results show that over the study period, juvenile survival declined by almost 30% overall, while sub‐adults experienced a smaller decrease, and adults showed no change.
Morgane Gicquel   +22 more
wiley   +1 more source

Impact of Feature Engineering on Machine Learning Models for Heart Disease Prediction Across Multiple Data Sources

open access: yesEngineering Reports, Volume 8, Issue 2, February 2026.
Feature engineering increases machine learning models' effectiveness for predicting cardiac disease across a wide range of datasets. This study focuses on critical engineering characteristics and their influence on model accuracy, emphasizing the significance of data preprocessing in generating dependable, cross‐source predictive healthcare solutions ...
Debashish Chandra Shil   +5 more
wiley   +1 more source

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