Results 251 to 260 of about 720,089 (313)

The epidemiology of psoriatic arthritis in the UK: a health intelligence analysis of UK Primary Care Electronic Health Records 1991-2020. [PDF]

Rheumatology (Oxford)
Druce KL, Yimer BB, Humphreys J, Njuki LN, Bourke D, Li M, Ellis B, Zhang Y, Bravo R, Hyrich KL, Verstappen SMM, Dixon WG, McBeth J.   +12 more
europepmc   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis. [PDF]

Int J Public Health
Yin Y, Workman TE, Blosnich JR, Brandt CA, Skanderson M, Shao Y, Goulet JL, Zeng-Treitler Q.   +7 more
europepmc   +1 more source

Indium‐Mediated Glue‐Like Interlayer Enables Stable High‐Capacity Flexible Sodium Metal Batteries

Advanced Materials, EarlyView.
A three‐dimensional Na‐In‐S/Cu composite interlayer is constructed on a flexible current collector via an In‐mediated in situ reaction. Featuring abundant Na nucleation sites and a low diffusion barrier, this interlayer enables rapid and uniform Na deposition.
Xinyan Li, Shujing Wen, Junhua Zhou, Yanpeng Guo, Jiehua Cai, Xingyang Wang, Yongqiang Yang, Ang Ye, Can Guo, Zhaokun Wang, Qiyao Huang, M. Danny Gu, John Wang, Zijian Zheng   +13 more
wiley   +1 more source

In-Silico Investigation and Intelligence Analysis of Particulate Matter and Pro-Oxidant-Antioxidant Balance. [PDF]

Iran J Public Health
Roh HT, Jeong T.
europepmc   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

A Comprehensive Assessment of Soft-tissue Sagging after Zygoma Reduction Surgery through Artificial Intelligence Analysis. [PDF]

Plast Reconstr Surg Glob Open
Park YY, Kim KK, Park B.
europepmc   +1 more source

Designable van der Waals Crystal for Artificial Neuronal Cell Mimicking

Advanced Materials, EarlyView.
Designable van der Waals crystal has been demonstrated for device‐scale neuronal cell mimicking. The structural similarity between ion‐channel in biological membranes and layered vdW lattices is realized with nano‐crystallization via Ar + H2S plasma sulfurization.
Jinhyoung Lee, Gunhyoung Kim, Dongho Lee, Seowoo Son, Hyunho Seok, Sihoon Son, Hyunbin Choi, Geonwook Kim, Geumji Back, Hyunkyu Kim, Chaerin Park, Junmin Ahn, Seongyun Je, Chaeyoung Im, Junil Cho, Magdalena Grzeszczyk, Seongho Kim, Eunseo Go, Hyunwoo Shim, Donghwan Choi, Muyoung Kim, Hyoeng‐U. Kim, Won‐Jun Jang, Taesung Kim   +23 more
wiley   +1 more source

An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review. [PDF]

J Clin Med
Di Costanzo A, Spaccarotella CAM, Esposito G, Indolfi C.   +3 more
europepmc   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source