Results 141 to 150 of about 229,810 (202)

Chronic, Battery‐Free, Fully Implantable Multimodal Spinal Cord Stimulator for Pain Modulation in Small Animal Models

Advanced Science, EarlyView.
This work introduces wireless‐powered fully implantable spinal cord stimulation (SCS) in freely moving animal models, supporting diverse ethological paradigms. kHz stimulation with real‐time digital programming offers versatile, dynamically optimized therapy. Scalable fabrication ensures high N studies and seamless translation.
Allie J. Widman, Taron Bashar, Alex Burton, David Marshall Clausen, Prashant Gupta, Drew K. Wolf, Jakayla Folarin‐Hines, Maria Payne, John A Rogers, Kathleen W. Meacham, Robert W. Gereau, Philipp Gutruf   +11 more
wiley   +1 more source

Assessing the sustainability of combined heat and power systems with renewable energy and storage systems: Economic insights under uncertainty of parameters. [PDF]

PLoS One
Mohamed EA, Mostafa MH, Ali ZM, Abdel Aleem SHE.   +3 more
europepmc   +1 more source

Autonomous Self‐Evolving Research on Biomedical Data: The DREAM Paradigm

Advanced Science, EarlyView.
DREAM is a fully autonomous, self‐evolving biomedical research system capable of independently formulating scientific questions, performing analyses, and making new discoveries without human intervention. Validated in biomedical studies, DREAM significantly outperforms human scientists in research efficiency, accelerating scientific discovery and ...
Luojia Deng, Yijie Wu, Yongyong Ren, Hui Lu   +3 more
wiley   +1 more source

Semantic composition of robotic solver algorithms on graph structures. [PDF]

Front Robot AI
Schneider S, Hochgeschwender N, Bruyninckx H.   +2 more
europepmc   +1 more source

AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices

Advanced Science, EarlyView.
Triboelectric nanogenerators (TENGs) enable sustainable energy harvesting and self‐powered sensing but face challenges in material optimization, fabrication, and stability. Integrating artificial intelligence (AI) enhances TENG performance through machine learning, improving energy output, adaptability, and predictive maintenance.
Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios   +4 more
wiley   +1 more source

Authors' reply: Re: Koga et al. Retrieval-augmented generation versus document-grounded generation: a key distinction in large language models. [PDF]

J Pathol Clin Res
Hewitt KJ, Wiest IC, Kather JN.
europepmc   +1 more source

Unveiling Salt Tolerance Mechanisms in Plants: Integrating the KANMB Machine Learning Model With Metabolomic and Transcriptomic Analysis

Advanced Science, EarlyView.
Salt stress endangers coastal cereal crops, requiring resilient crop solutions. This study employs machine learning (KANMB) to analyze multi‐omics data from halophyte Spartina alterniflora, revealing 226 salt‐stress biomarkers and linking them to tolerance pathways. The MYB gene SaMYB35 regulates flavonoid biosynthesis under salinity.
Shoukun Chen, Hao Zhang, Shuqiang Gao, Kunhui He, Tingxi Yu, Shang Gao, Jiankang Wang, Huihui Li   +7 more
wiley   +1 more source

AIAIAI: AI insights on amassing influence in AI-related publications - an AI-assisted retrospective analysis into AI-related publication. [PDF]

BMJ Health Care Inform
Lahat R, Berick N, Hajouj M, Teitelbaum T, Shochat I.   +4 more
europepmc   +1 more source

Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites

Advanced Science, EarlyView.
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang, Jingjing Qian, Pei Wang, Xuan Liu, Fuhao Zhang, Haiting Chai, Quan Zou   +6 more
wiley   +1 more source

Evaluating the effectiveness of prompt engineering for knowledge graph question answering. [PDF]

Front Artif Intell
Kosten C, Nooralahzadeh F, Stockinger K.
europepmc   +1 more source