Results 201 to 210 of about 542,123 (286)

From Expected Goals to Scoring at Least Once: An Event-Specific Summary of Aggregated Bernoulli Risk. [PDF]

Entropy (Basel)
Górecki T.
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

Maximum likelihood estimation of perceptual differences in sorting tasks. [PDF]

PLoS One
Liu Y, Li H, Xiang Y, Zhou M, Li Q, Yu H, Ejima Y, Takahashi S, Yang J, Bai B, Yi X, Wu J.   +11 more
europepmc   +1 more source

Rational Arithmetic Mathematica Functions to Evaluate the Two-Sided One Sample K-S Cumulative Sampling Distribution

One of the most widely used goodness-of-fit tests is the two-sided one sample Kolmogorov-Smirnov (K-S) test which has been implemented by many computer statistical software packages.
J. Randall Brown, Milton E. Harvey
core  

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

Analytically tractable model of synaptic crowding explains emergent small-world structure and network dynamics. [PDF]

Sci Rep
Fukushima M.
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

Spatial joint modelling of multivariate longitudinal outcomes and cure proportion using latent Gaussian model with application to dataset on HIV/AIDS patients. [PDF]

Sci Rep
Ekong AH, Olayiwola OM, Dawodu GA, Osinuga IA.   +3 more
europepmc   +1 more source

Linker‐Engineered Dimeric Acceptors Afford Efficient Organic Photocatalytic Hydrogen Evolution via Tailored Nanomorphology for Long‐Lived Charge Accumulation

Advanced Materials, EarlyView.
We developed a new series of monomeric (MY) and dimeric acceptors incorporating unfused (DY1) and fused (DY2) linkers, which establish a controlled self‐aggregation trend of MY > DY2 > DY1. The DY2‐based system yields a bulk‐heterojunction nanoparticle morphology that appears to balance phase separation and interfacial accessibility, consistent with ...
Jin‐Woo Lee, Cheng Sun, Yang Song, Guanru Dong, Keren Ai, Stanley Alfred Cazaly, Flurin Eisner, Bumjoon J. Kim, Zeinab Hamid, Iain McCulloch, Yun‐Hi Kim, James R. Durrant   +11 more
wiley   +1 more source