Results 91 to 100 of about 54,755 (245)

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Nanomaterial‐Based Muscle Cell/Neural Tissue Biohybrid Robots: From Actuation to Biomedical Applications

Advanced Robotics Research, EarlyView.
Muscle cell‐based biohybrid robot using nanomaterials for function enhancement and neural function for biomedical applications. Biohybrid robotics, an emerging field combining biological tissues with artificial systems, has made significant progress in developing various biohybrid constructs, including muscle‐cell‐driven biorobots and microbots.
Minkyu Shin, Sangeun Lee, Su Ryon Shin, Jin‐Ha Choi, Jeong‐Woo Choi   +4 more
wiley   +1 more source

Tailoring Vascular‐Immune Homeostasis via Manganese‐DNA Complex‐Armed Immunogenic Extracellular Vesicles for Pancreatic Cancer Immunotherapy

Advanced Science, EarlyView.
This study demonstrates that Mn2⁺–tumor DNA complexes encapsulated in dendritic cell (DC)– derived immunogenic extracellular vesicles (EVDC@Mn‐DNA) act as a DC‐specific cGAS– STING activator. EVDC@Mn‐DNA treatment enhances intratumoral DC activation, improves tumor vascular function, promotes CD8⁺ T cell activity, and suppresses pancreatic tumor growth,
Xue Jiang, Lihuan Shang, Xiaochun Chen, Xiangzhan Kong, Xiaojuan Wang, Linjia Jiang, Huiying Zhao, Yafeng Zhu, Cheng Huang, Shiyi Deng, Rui Zhang, Minghui Wang, Haoming Lin, Ping‐Pui Wong   +13 more
wiley   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Irgm1 Improves Postinfarction Cardiac Repair by Promoting Neutrophil Clearance and Efferocytosis

Advanced Science, EarlyView.
The Irgm1‐PDIA3 axis enhances post‐infarction cardiac repair by accelerating neutrophil clearance and facilitating efferocytosis. Irgm1 holds potential as a prognostic biomarker in MI, and LOC14 may represent a therapeutic option to improve cardiac repair, especially in cases of Irgm1 deficiency.
Zeng Wang, Lai Wei, Mingyang Wang, Shanjie Wang, Lili Xiu, Jiaxiang Sun, Rongzhe Lu, Yige Liu, Jiaxin Wang, Fengyi Liu, Weike Liu, Bo Yu, Yong Sun, Xueqin Gao, Shaohong Fang   +14 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

Advanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta, Janhavi Nistane, Abhishek Sose, Harikrishna Sahu, Rampi Ramprasad   +4 more
wiley   +1 more source

Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain

Advanced Science, EarlyView.
A new approach uses simple neural networks to create digital twins of brain activity, capturing how different patterns unfold over time. The method generates and recovers key dynamics even from noisy data. When applied to fMRI, it predicts brain signals and reveals distinctive activity patterns across regions and individuals, opening possibilities for ...
Gabriele Di Antonio, Tommaso Gili, Andrea Gabrielli, Maurizio Mattia   +3 more
wiley   +1 more source

An Analysis of written feedback from teachers on the writing of students composition [PDF]

, 2020
zainularief1982@gmail.com  ABSTRACT The aim of this analysis was to investigate the form of remedial guidance a teacher requires for the writing of students.
Arifin, Zainul
core  

Iranian EFL Learners’ Reaction to Teacher’s Written Corrective Feedback

International Journal of Applied Linguistics and English Literature, 2017
Providing different types of corrective feedback on learners’ writing is a common practice in writing classes. Applied linguists have also invested huge attempt in investigating the impact that coorective feedback might have on developing different language skills among EFL/ESL writers. Despite the breadth of empirical research on the issue, literature
openaire   +2 more sources

Written corrective feedback in English compositions: Teachers’ practices and students’ expectations [PDF]

English Language Teaching Educational Journal, 2020
Written corrective feedback (WCF) has been the subject of many studies in the field of second language (L2) writing. This study sought to investigate: (1) teacher’s practices in marking students’ English language compositions, (2) students’ expectations of teacher’s WCF, and (3) compare whether students’ expectations correspond to teachers’ practices ...
openaire   +2 more sources