Results 111 to 120 of about 73,786 (298)

Comparative Study of Manual and Generated Data Transfer Object Implementation Performance

Journal of Applied Informatics and Computing
The Data Transfer Object (DTO) is a fundamental component in Flutter application development, particularly in managing data serialization and deserialization.
Chandro Pardede, Wilson Sihombing, Winfrey Nainggolan   +2 more
doaj   +1 more source

Early Spatial and Contextual Coding Deficits in Hippocampal CA1 Precede Performance Decline in an Alzheimer's Disease Model

Advanced Science, EarlyView.
Two‐photon calcium imaging in behaving 5xFAD mice reveals early CA1 coding deficits before behavioral decline. Task‐related place cell activity and splitter cell trajectory coding are impaired, with reduced retrospective dominance and greater prospective weighting.
Yimei Li, Mary Ann Go, Hualong Zhang, Robertas Aleksynas, Juliana Kim, Mingyang Gao, Seigfred Prado, Magdalena Sastre, Simon R. Schultz   +8 more
wiley   +1 more source

Beyond error-driven adaptation: proactive validation as a goal-directed mechanism of language processing and learning

Frontiers in Language Sciences
Recent advances in psycholinguistics increasingly frame language processing as a predictive process: listeners and readers continuously anticipate upcoming linguistic input.
Julia Edeleva
doaj   +1 more source

refloraR: An R package for efficiently retrieving and analyzing plant specimen data from the Herbário Virtual Reflora. [PDF]

Appl Plant Sci
Abstract Premise Advances in the digitization of herbarium collections are enabling open access to specimen data for research and conservation. In Brazil, the Herbário Virtual Reflora (HVR) hosts over 4.8 million high‐resolution images of botanical specimens and their associated data from 86 national and international herbaria.
Calderón Del Cid C, Versiane AFA, Leitman P, Filardi FR, Forzza RC, Cardoso D.   +5 more
europepmc   +2 more sources

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source

Context-Sensitive Parsing Through Stateful Parsing

, 2016
Context-sensitive parsing remains a problematic area within parsing research. To enable context-sensitive yet context-transparent parsing, we propose principled stateful parsing as a new transactional discipline that makes state changes transparent to ...
Parsing@SLE workshop collocated with SLE 2016, Laurent, Nicolas, Mens, Kim   +2 more
core   +1 more source

Tumor Exposomics: A New Paradigm for Individualized Continuous Exposure Monitoring

Advanced Science, EarlyView.
Tumor exposomics integrates continuous monitoring of environmental exposures, endogenous biological responses, and behavioral factors within a unified temporal framework. By combining multimodal sensing technologies with AI‐enabled causal modeling, this emerging paradigm reconstructs exposure‐damage trajectories and supports individualized dynamic risk
Kaicheng Shen, Weiyi Wang, Yang Wang, Yiqiang Wu, Xiaohong Liu, Wei Zhang, Juanjuan Ou   +6 more
wiley   +1 more source

Mechanically Reprogrammed Coaxial Fibers for Multiphysics Transduction and Human‐Machine Interfaces

Advanced Science, EarlyView.
A continuously wet‐spun coaxial fiber is developed to combine stretchable conductivity, resistive sensing, and self‐powered triboelectric sensing in a single architecture. A mechanically reprogrammed dual‐network sheath stabilizes large deformation and improves signal reliability. These fibers can be woven into textile interfaces for multichannel touch
Xinyi Cao, Chao Ye, Shengjie Ling, Ming Li, Zhao Sha, Chun‐Hui Wang, Shuhua Peng   +6 more
wiley   +1 more source