Results 101 to 110 of about 611,461 (294)

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Exploring the Median Effective Dose of Ciprofol for Anesthesia Induction in Elderly Patients: Impact of Frailty on ED50

Drug Design, Development and Therapy
Jingjing Yuan,1,2,* Zenghui Liang,1,* Muhoza Bertrand Geoffrey,1 Yanle Xie,1,2 Shuhan Chen,1,2 Jing Liu,1,2 Yuzhong Xia,1 Huixin Li,1 Yanling Zhao,1 Yuanyuan Mao,1,2 Na Xing,1,2 Jianjun Yang,1,2 Zhongyu Wang,1 Fei Xing1,2 1Department of ...
Yuan J, Liang Z, Geoffrey MB, Xie Y, Chen S, Liu J, Xia Y, Li H, Zhao Y, Mao Y, Xing N, Yang J, Wang Z, Xing F   +13 more
doaj  

Changes in frailty conditions and phenotype components in elderly after hospitalization

Revista Latino-Americana de Enfermagem
Objective: describing the changes in frailty conditions over the period of a year after hospital discharge, verifying predictive variables for changes in frailty conditions and frailty phenotype components according to worsening, improving and stable ...
Gianna Fiori Marchiori, Darlene Mara dos Santos Tavares   +1 more
doaj   +1 more source

Modulation of miR‐23b Wnt/β‐catenin Axis Strengthens Endothelial Barrier Properties

Advanced Science, EarlyView.
Early blood‐brain barrier (BBB) disruption contributes to stroke and CNS disease pathology. miR‐23b was identified as a regulator of BBB integrity in brain endothelial cells. Inhibition of miR‐23b enhanced barrier‐associated properties, promoted repair‐related signaling, and reduced BBB leakage in experimental stroke models, supporting further ...
Victor Anthony Martinez, Rose E. Presby, Sara Nakanishi, Pallavi Gaur, Ugur Akcan, Johannes Daugaard Krog, Iben Daugaard Krog, Lipi Das, David S. Johnson, Danny Jamoul, Douglas Jury, Brian Lawson, Jacob Körbelin, Lewis M. Brown, Vilas Menon, Dritan Agalliu, Irene Munk Pedersen   +16 more
wiley   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Nutritional interventions among community-dwelling frail elderly : a systematic review

, 2013
Background: The worldwide ageing demographic trend has resulted in a growing number of frail elderly who are in the last stages of autonomous living. Oral nutritional interventions for the frail elderly address the body’s natural weight loss, sometimes ...
王慕恩, Wang, Miranda
core   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

Advanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung, Yuna Yoo, Dharneedar Ravichandran, Dahyun Daniel Lim, Grace X. Gu   +4 more
wiley   +1 more source

DDSurfer: A Weakly‐Supervised Dual‐Stream Deep Learning Framework for Cortical Surface Reconstruction From Diffusion MRI

Advanced Science, EarlyView.
DDSurfer reconstructs cortical surfaces directly from diffusion MRI without requiring T1‐weighted scans. By fusing complementary microstructural features and learning diffeomorphic deformations, it efficiently generates accurate white matter and pial surfaces, improving geometric fidelity and morphometric reliability across datasets for robust surface ...
Chengjin Li, Wei Zhang, Xi Zhu, Yuqian Chen, Nir A. Sochen, Jarrett Rushmore, Carl‐Fredrik Westin, Yogesh Rathi, Lauren J. O'Donnell, Ofer Pasternak, Fan Zhang   +10 more
wiley   +1 more source

DIFFERENCES IN THE EFFECTS OF MULTICOMPONENT VIVIFRAIL TRAINING AND SENAM LANSIA ON PHYSICAL PERFORMANCE AND FALL RISK IN PRE-FRAIL ELDERLY

Folia Medica Indonesiana
Pre-frailty is a condition where individuals experience early signs of frailty. Frailty is a geriatric syndrome associated with falls and reduced physical performance, which will impact the health and well-being of the elderly population. To mitigate the
Nadia Ovianti, Annisa Susilowati, Endang Ambarwati, Robby Tjandra Kartadinata, Tanti Ajoe Kesoema, Erna Setiawati   +5 more
doaj   +1 more source