Results 61 to 70 of about 584,257 (325)

Advanced Air Electrodes for Reversible Protonic Ceramic Electrochemical Cells: A Comprehensive Review

Advanced Materials, EarlyView.
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen, Yeshu Tan, Zheng Li, Tong Liu, Yinghao Song, Shuo Zhai, Na Yu, Zongping Shao, Meng Ni   +8 more
wiley   +1 more source

Some Applications of Bayes' Rule in Probability Theory to Electrocatalytic Reaction Engineering

International Journal of Electrochemistry, 2011
Bayesian methods stem from the principle of linking prior probability and conditional probability (likelihood) to posterior probability via Bayes' rule.
Thomas Z. Fahidy
doaj   +1 more source

A Bayesian Density Model Based Radio Signal Fingerprinting Positioning Method for Enhanced Usability

Sensors, 2018
Indoor navigation and location-based services increasingly show promising marketing prospects. Indoor positioning based on Wi-Fi radio signal has been studied for more than a decade because Wi-Fi, a signal of opportunity without extra cost, is ...
Zheng Li, Jingbin Liu, Fan Yang, Xiaoguang Niu, Leilei Li, Zemin Wang, Ruizhi Chen   +6 more
doaj   +1 more source

An alternative inference tool to total probability formula and its applications

, 2003
Total probability and Bayes formula are two basic tools for using prior information in the Bayesian statistics. In this paper we introduce an alternative tool for using prior information.
Mohammad-Djafari, Ali, Mohammadpour, Adel   +1 more
core   +1 more source

Neural representation of probabilities for Bayesian inference [PDF]

Journal of Computational Neuroscience, 2015
Bayesian models are often successful in describing perception and behavior, but the neural representation of probabilities remains in question. There are several distinct proposals for the neural representation of probabilities, but they have not been directly compared in an example system.
Jose L. Pena, Brian J. Fischer, Yunyan Wang, Fanny Cazettes, Dylan Rich   +4 more
openaire   +3 more sources

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

Sampling constrained probability distributions using Spherical Augmentation

, 2015
Statistical models with constrained probability distributions are abundant in machine learning. Some examples include regression models with norm constraints (e.g., Lasso), probit, many copula models, and latent Dirichlet allocation (LDA).
A Beskos, A Beskos, A Gelfand, A Pakman, AE Brockwell, B Leimkuhler, B Shahbaba, C Andrieu, C Hans, C Sherlock, CJ Geyer, D Randal, DM Blei, GH Golub, GO Roberts, GO Roberts, GO Roberts, I Murray, IE Frank, M Girolami, M Spivak, M West, MD Hoffman, N Chopin, NS Pillai, O Cappé, P Mykland, P Neal, P Neal, R Douc, R Tibshirani, RM Neal, RM Neal, RV Craiu, S Amari, S Byrne, S Duane, S Lan, SL Cotter, T Park, WR Gilks, Y Ahmadian   +41 more
core   +1 more source

Star masses and bayesian probability [PDF]

Nature, 1994
The use of Bayes' theorem to pin down the mass limits of the few neutron stars found in binary systems is both a splendid illustration of the explicit use of a priori knowledge and a means to a useful result.
openaire   +2 more sources

Integrating Dense Genotyping with High‐Throughput Phenotyping Empowers the Genetic Dissection of Berry Quality and Resilience Traits in Grapevine

Advanced Science, EarlyView.
Researchers develop advanced tools to study grapevine traits like berry quality and stress resilience. A 200K SNP array and high‐throughput phenotyping enable the identification of loci linked to berry shape, sugar content, acidity, and cold tolerance. Functional validation of genes such as NAC08 reveals roles in cold tolerance.
Yuyu Zhang, Yongjian Wang, Michael Henke, Pablo Carbonell‐Bejerano, Zemin Wang, Pierre‐François Bert, Yi Wang, Huayang Li, Junhua Kong, Peige Fan, Zhanwu Dai, Zhenchang Liang   +11 more
wiley   +1 more source

Single‐Cell RNA Sequencing Delineates Renal Anti‐Fibrotic Mechanisms Mediated by TRPC6 Inhibition

Advanced Science, EarlyView.
Single‐cell transcriptomics reveals how TRPC6 inhibition alters renal cell composition and gene expression in CKD. The study uncovers a novel endothelial subpopulation (ECRIN), highlights key inflammatory and fibrotic pathways, and identifies a Prnp‐driven network linked to fibrosis resolution, offering mechanistic insight into TRPC6 as a potential ...
Yao Xu, Zhihuang Zheng, Marleen Silke Oswald, Guozhe Cheng, Jun Liu, Qidi Zhai, Ute Kruegel, Michael Schaefer, Holger Gerhardt, Nicole Endlich, Maik Gollasch, Stefan Simm, Dmitry Tsvetkov   +12 more
wiley   +1 more source