Results 201 to 210 of about 2,544,926 (320)

Liquid Metal Sensors for Soft Robots

Advanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang, Nan Li, Yujia Song, Chen Hua, Tangzhen Guan, Yibing Ma, Cai Cheng, Jing Liu   +7 more
wiley   +1 more source

Rewiring Neuroimmunity: Nanoplatform Innovations for CNS Disease Therapy

Advanced Therapeutics, EarlyView.
This review explores emerging nanoplatform strategies designed to modulate neuroimmune responses for treating central nervous system (CNS) disorders. It examines structural and microenvironmental barriers, advances in multifunctional and targeted nanotechnologies, and highlights clinical progress and translational challenges, offering insights into the
Muhammad Usman Akbar, Weiwei Guo, Xin Shen, Yimeng Fang, Yilin Liu, Peng‐Yuan Wang, Roey Elnathan, Yaping Chen   +7 more
wiley   +1 more source

Surface Elasticity Based Nonlocal Vibration Analysis of Bidirectional Functionally Graded Tapered Nanobeam

Advanced Theory and Simulations, EarlyView.
This work proposes a surface elasticity‐based nonlocal model for analyzing the vibrations of bi‐directionally graded tapered nanobeam. The results demonstrate that, in absence of surface effect, the increasing value of tapered parameter leads to stiffness‐hardening of the nanobeam. However, the consideration of surface effect changes this trend and the
Chinika Dangi, Susmita Naskar
wiley   +1 more source

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

Advanced Theory and Simulations, EarlyView.
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic, Natasha Dropka, Xia Tang, Janina Zittel   +3 more
wiley   +1 more source

A UMLS-based spell checker for natural language processing in vaccine safety [PDF]

, 2007
Herman Tolentino, Michael D. Matters, Wikke Walop, Barbara Law, Wesley Tong, Fang Liu, Paul Fontelo, Katrin Kohl, Daniel C. Payne   +8 more
openalex   +1 more source

Identifying people with potentially undiagnosed dementia with Lewy bodies using natural language processing. [PDF]

NPJ Aging
Heybe M, Gibson L, Price AC, Cardinal RN, O'Brien JT, Stewart R, Mueller C.   +6 more
europepmc   +1 more source

CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self‐Supervised Learning

Advanced Science, EarlyView.
CRCFound is a self‐supervised learning‐based CT image foundation model for colorectal cancer (CRC). Pretrained on 5137 unlabeled CRC CT images, it learns universal feature representations, enabling efficient adaptation to various clinical tasks. The model demonstrates outstanding performance and generalization across multiple diagnostic and prognosis ...
Jing Yang, Du Cai, Junwei Liu, Zhenfeng Zhuang, Yibin Zhao, Feng‐ao Wang, Chenghang Li, Chuling Hu, Baowen Gai, Yiping Chen, Yixue Li, Liansheng Wang, Feng Gao, Xiaojian Wu   +13 more
wiley   +1 more source

Extraction of Social Determinants of Health From Electronic Health Records Using Natural Language Processing. [PDF]

JCO Clin Cancer Inform
Chen Z, Lasserre P, Lin A, Rajapakshe R.
europepmc   +1 more source

NOX2 Contributes to High‐Frequency Outer Hair Cell Vulnerability in the Cochlea

Advanced Science, EarlyView.
This study first identifies NOX2 as a differentially expressed gene related to oxidative damage in the apical and basal turns through single‐cell RNA sequencing. NOX2 gene knockout mitigates OHCs damage caused by neomycin and noise and enhances Nrf2 expression and nuclear translocation.
Meihao Qi, Zejun Gao, Yang Qiu, Renfeng Wang, Keyong Tian, Bo Yue, Xinyu Zhang, Peng Zhang, Ziqi Wu, Qingwen Zhu, Zhenzhen Liu, Zhuoyao Ma, Xueying Zhou, Yu Han, Jun Chen, Jianhua Qiu, DingJun Zha   +16 more
wiley   +1 more source

Natural Language Processing Improves Reliable Identification of COVID-19 Compared to Diagnostic Codes Alone. [PDF]

Am J Epidemiol
Hendrix N, Parikh RV, Taskier M, Walter G, Phillips RL, Rehkopf DH.   +5 more
europepmc   +1 more source