Results 61 to 70 of about 27,117 (260)

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

open access: yesAdvanced Science, EarlyView.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao   +9 more
wiley   +1 more source

NFYB Integrates Hormonal Signals into Tissue Allometry by Promoting Protein Biosynthesis

open access: yesAdvanced Science, EarlyView.
In the American cockroach, NFYB acts as a spatiotemporin that translates distinct hormonal cues into tissue‐specific allometry. Juvenile hormone activates NFYB in the early fat body, while 20‐hydroxyecdysone induces it in late wing pads. NFYB then promotes protein biosynthesis via core translational machinery, driving differential growth across the ...
Fangfang Liu   +11 more
wiley   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

open access: yesAdvanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou   +8 more
wiley   +1 more source

Effects of Task Complexity on L2 Reading and L2 Learning

open access: yesEnglish Teaching, 2016
Task-based language teaching (TBLT) has propelled much research into how task type, condition, or demand affects L2 learners’ linguistic performance...
openaire   +1 more source

Placental Site Trophoblastic Tumor Acquires Immune Functions by Incorporating Host Maternal Genes

open access: yesAdvanced Science, EarlyView.
PSTT cells, through cell fusion with B cells, incorporate abundant non‐inherited maternal genes that are detectable by DNIMA. These hybrid cells acquire immunotherapy‐resistant genetic changes and increase the expression of B cell‐derived immune‐related molecules such as Ig, HLA, LILRB, SIGLEC10, and so on, creating an immunotolerant environment around
Kyosuke Kagami   +15 more
wiley   +1 more source

Investigating the Relationship Between Oral Reading Miscues and Comprehension in L2 Chinese

open access: yesLanguages
Reading comprehension in Chinese as a second language (L2 Chinese) presents unique challenges due to the language’s logographic writing system. Analysis of oral reading miscues reveals specific patterns in L2 learners’ reading processes and comprehension
Sicheng Wang
doaj   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

open access: yesAdvanced Science, EarlyView.
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio   +6 more
wiley   +1 more source

Relations among L1 Reading, L2 Knowledge, and L2 Reading: Revisiting the Threshold Hypothesis

open access: yesEnglish Language Teaching, 2013
This study attempted to test the threshold hypothesis in second/foreign language (L2) reading by investigating the relations among first language (L1) reading, L2 knowledge, and L2 reading comprehension in a sample of 2666 (1333 males and 1333 females) Korean EFL high school students. Three different methods of data analysis were utilized after closely
openaire   +2 more sources

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

open access: yesAdvanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning

open access: yesAdvanced Science, EarlyView.
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy