Photothermal and Moisture Actuator Made with Graphene Oxide and Sodium Alginate for Remotely Controllable and Programmable Intelligent Devices by Wen Wang (6570)

Visualization on SMAC-25m based on <i>LazyAct</i>. by Hongjie Zhang (136127)

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There was no significant difference in knockdown rate between the <i>Serratia oryzae</i> enrichment and control groups within 60mins. by Haiyang Wang (22389)

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Predicting the retained population of villages in the next 11 years based on agent-based simulation. by Shanshan Huang (2030734)

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Proximate analysis (g /100 g wet matter), titratable acidity, and pH of fresh-made and canned broad bean dip samples. by Seham M. Abu Jadayil (20490367)

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Flow chart of training and testing based on transfer learning. by Yan Sun (22436)

The sacrifice made by audiences: the complicit discomfort of viewing performance art by Angela Bartram (17153605)

Differential diagnosis of dental fluorosis made by undergraduate dental students by Lilian Rigo (4792221)

Polar plot visualizing statistical analysis results based on association analysis results. by Saeyeon Cheon (12560890)

Pathways analysis of ERCC1 based on CWP metabolome and proteome. by Hao Deng (409186)

Variable descriptions based on statistics. by Xiqiao Xia (17720527)

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Multiomic Droplet-Based Assay for Ultralow Input Samples by Mathilde Richerd (17499379)

“…While magnetic particle extraction is commonly used, it may not be applicable for ultralow input samples. Microfluidics has made possible the analysis of rare or low-materiality samples such as circulating tumor cells or single cells through miniaturization of numerous protocols. …”

Multiomic Droplet-Based Assay for Ultralow Input Samples by Mathilde Richerd (17499379)

“…While magnetic particle extraction is commonly used, it may not be applicable for ultralow input samples. Microfluidics has made possible the analysis of rare or low-materiality samples such as circulating tumor cells or single cells through miniaturization of numerous protocols. …”

Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion by Zepeng Li (628479)

“…Recently, deep learning methods for DTA prediction have made significant progress. However, there are still two challenges: (1) recent models always ignore the correlations in drug and target data in the drug/target representation process and (2) the interaction learning of drug–target pairs always is by simple concatenation, which is insufficient to explore their fusion. …”

Blueprint of attention-based GRU model structure. by Yankun Jiang (5690342)

The TabNet encoder is made up of three parts: A feature transformer, an attentive transformer, and feature masking. by Demóstenes Zegarra Rodríguez (17174585)

Pipeline for generating layperson summaries of medical trials using a tri-phasic large language model (LLM)-based framework with human oversight. by Severin Rodler (21455143)

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Methodologies adopted for ESV valuation. The classification of assessment methods is based on [8,10,26–29]. by Yunhua Lin (12997674)

Countries-based distributions of included studies. by Halefom Kahsay Haile (20670874)

Tests for significant covariation need to not use covariation in producing their alignments. by Elena Rivas (7973)

“…Covariation analysis of the alignments reports significant helices in light green and significant base pairs in dark green. …”