Results 171 to 180 of about 53,870 (265)

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

Artificial intelligence and data analytics in human talent management. [PDF]

Front Artif Intell
Sarmiento Orna DA, Apolo-Silva MF, Solís-Naranjo AP, Borja-Salinas EI, Espinoza-Solis EJ, Peralta-Gamboa DA.   +5 more
europepmc   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Clarifying physiology-guided subphenotyping of hypotension in early sepsis. [PDF]

Ann Intensive Care
Sanchez-Escalante C, Teboul JL.
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

From P4 Medicine Hype to Digital Health Maturity. [PDF]

Mayo Clin Proc Digit Health
Cesario A, Tortora G.
europepmc   +1 more source

Ferroelectric Dynamic‐Field‐Driven Nucleation and Growth Model for Predictive Materials‐To‐Circuit Co‐Design

Advanced Materials, EarlyView.
This study presents a compact dynamic‐field‐driven nucleation and growth (DFNG) model that captures ferroelectric switching behavior under arbitrary voltage waveforms. It enables extraction of time‐dependent domain wall velocity and growth dimensionality, which can then be extended to device‐level modeling.
Yi Liang, Soohyeon Kim, Tony Chiang, Megan K. Lenox, Ian Mercer, John J. Plombon, Jon‐Paul Maria, Jon F. Ihlefeld, Wenhao Sun, Wei Lu, John T. Heron   +10 more
wiley   +1 more source

A brief history of dopamine prediction errors. [PDF]

Front Comput Neurosci
Dudhabhate BB, Costa KM.
europepmc   +1 more source

Soft, Degradable, and Magnetic Microcarriers for Encapsulation and Guided Transport of Drugs and 3D Spheroids

Advanced Materials, EarlyView.
This work presents soft, degradable hydrogel microcarriers that combine magnetic responsiveness with the ability to host multiple therapeutic and cellular components. Produced by droplet microfluidics, the carriers maintain structural integrity during manipulation, permit controlled breakdown under physiological conditions, and enable guided motion for
Xuan Peng, Lulu Song, Daryna Mruga, Veronika Bakhmat, Sergei Dzyadevych, Lin Guo, Shahrukh Shakeel, Rico Illing, Olha Bezsmertna, Xiaotao Wang, Nicholas R. Posselli, Sarthak Misra, Sandra Hauser, Jens Pietzsch, Klaus Kopka, Denys Makarov, Željko Janićijević, Xinne Zhao, Larysa Baraban   +18 more
wiley   +1 more source

Bridging the Continuous Glucose Monitoring decision gap: from glycaemic variability data to actionable stability in diabetes care. [PDF]

Front Endocrinol (Lausanne)
Wang Q, Pan F, Li B, Liu X, Zhang J.
europepmc   +1 more source