Results 121 to 130 of about 32,454 (279)

Effcacy and safety of nerve growth factor for the treatment of neurological diseases: a meta-analysis of 64 randomized controlled trials involving 6,297 patients

Neural Regeneration Research, 2015
OBJECTIVE: China is the only country where nerve growth factor is approved for large-scale use as a clinical medicine. More than 10 years ago, in 2003, nerve growth factor injection was listed as a national drug.
Meng Zhao, Xiao-yan Li, Chun-ying Xu, Li-ping Zou   +3 more
doaj   +1 more source

Bridging Theory and Experiment: Machine Learning Potential‐Driven Insights into pH‐Dependent CO₂ Reduction on Sn‐Based Catalysts

Advanced Functional Materials, EarlyView.
Machine learning potential (MLP) enables large‐scale molecular dynamics (MD) simulations, uncovering dynamic surface reconstruction of SnO₂ and SnS₂ under CO₂ reduction reaction condition. The negative dipole moments upon *OCHO adsorption are the primary factors driving the leftward shift of the volcano plot.
Yuhang Wang, Zelin Wu, Yingfang Jiang, Di Zhang, Qiang Wang, Congwei Wang, Huihui Li, Xue Jia, Jun Fan, Hao Li   +9 more
wiley   +1 more source

Rapid Diagnostics of Reconfigurable Intelligent Surfaces Using Space‐Time‐Coding Modulation

Advanced Functional Materials, EarlyView.
A fast reconfigurable‐intelligent‐surface (RIS) diagnostics method is proposed based on spatio‐temporal modulation with orthogonal codes. Theoretical analysis demonstrates a clear distinction in code channel power between normal and faulty elements. Simulations validate its feasibility under high fault ratios and varying receiving angles.
Yi Ning Zheng, Lei Zhang, Xiao Qing Chen, Marco Rossi, Giuseppe Castaldi, Shuo Liu, Tie Jun Cui, Vincenzo Galdi   +7 more
wiley   +1 more source

Ternary Synergy in Layered Double Hydroxides for Efficient and Stable Nitrate Reduction

Advanced Functional Materials, EarlyView.
Ternary CuZnFe LDH enables efficient electrocatalytic nitrate‐to‐ammonia conversion via controlled in situ reconstruction: zinc leaching creates porous active sites, copper reduced to metallic copper, while iron oxide keeps stable. Synergistic Cu‐Fe redox coupling drives tandem catalysis (nitrate→nitrite→NH3), achieving 95% Faraday efficiency and ...
Jiaqian Kang, Yuxuan Xiao, Lun Li, Lulu Qiao, Chunfa Liu, Chengcheng Zhong, Pengzhan Sun, Di Liu, Weng Fai Ip, Hui Pan   +9 more
wiley   +1 more source

Real-time artificial intelligence-assisted detection and segmentation of nasopharyngeal carcinoma using multimodal endoscopic data: a multi-center, prospective studyResearch in context

EClinicalMedicine
Summary: Background: Nasopharyngeal carcinoma (NPC) is a common malignancy in southern China, and often underdiagnosed due to reliance on physician expertise.
Rui He, Pengyu Jie, Weijian Hou, Yudong Long, Guanqun Zhou, Shumei Wu, Wanquan Liu, Wenbin Lei, Weiping Wen, Yihui Wen   +9 more
doaj  

Edge‐Delocalized Electron Effect on Self‐Expediating Desolvation Kinetics for Low‐Temperature Li─S Batteries

Advanced Functional Materials, EarlyView.
The self‐transformed Schottky heterojunction on MXene is developed to facilitate the dissociation of Li (solvent)x+ to achieve fast Li+ desolvation to promote rapid sulfur conversion kinetics by decreasing the related barriers, contributing to high‐performance Li─S batteries under low‐temperatures.
Yongzheng Zhang, Xiang Li, Yanli Wang, Jianghao Zhu, Yinze Zuo, Xiaomin Cheng, Tao Rong, Jing Zhang, Yang Hu, Hongzhen Lin, Jian Wang, Liang Zhan, Licheng Ling   +12 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

From Exciton Dynamics to Cell Fate: A Carbon Dot Based NIR Photocatalytic Platform for Pyroptosis via Self‐Trapped Excitons

Advanced Functional Materials, EarlyView.
A facile and effective method to boost NIR light induced photocatalysis based on nontoxic NIR emissive carbon dots (nir‐CDs) via Self‐trapped excitons, showing that both O2− • and •OH can be generated from nir‐CDs under NIR laser irradiation. Abstract Near‐infrared (NIR) light‐triggered photocatalytic therapy remains a critical challenge in efficient ...
Qingcheng Wang, Quansheng Cheng, Bingzhe Wang, Tesen Zhang, Yupeng Liu, Ruifeng Zheng, Shi Chen, Guichuan Xing, Songnan Qu   +8 more
wiley   +1 more source

Development of an MRI based artificial intelligence model for the identification of underlying atrial fibrillation after ischemic stroke: a multicenter proof-of-concept analysisResearch in context

EClinicalMedicine
Summary: Background: Atrial fibrillation (AF) represents a major risk factor of ischemic stroke recurrence with serious management implications. However, it often remains undiagnosed due to lack of standard or prolonged cardiac rhythm monitoring. We aim
Zijie Zhang, Yang Ding, Kaibin Lin, Wenli Ban, Luyue Ding, Yudong Sun, Chuanliang Fu, Yihang Ren, Can Han, Xue Zhang, Xiaoer Wei, Shundong Hu, Yuwu Zhao, Li Cao, Jun Wang, Saman Nazarian, Ying Cao, Lan Zheng, Min Zhang, Jianliang Fu, Jingbo Li, Xiang Han, Dahong Qian, Dong Huang   +23 more
doaj  

Anti‐Swelling Textile Power Generator with 1D Nanoscale Channel Alignment in Nanofiber/Graphene Hybrid Yarns

Advanced Functional Materials, EarlyView.
A nanofiber/graphene hybrid yarn with 1D oriented nanoscale channel is constructed via bath electrospinning followed by a functionalization process, yielding exceptional anti‐swelling and weaving abilities. When configured into a waterproof fabric through series‐parallel connection of 62‐cm yarns, an output power of 31.96 µW is achieved, which could ...
Yuman Zhou, Xiaohan Shi, Meng An, Kai Weng, Zhihao Lei, Qing Zhang, John Haozhong Xin   +6 more
wiley   +1 more source