Results 191 to 200 of about 157,640 (328)

Immunization Coverage and Its Determinants Among Children Aged 12-23 Months in East Africa: A Bayesian Hierarchical Modeling Approach Based on DHS 2019-2022. [PDF]

Biomed Res Int
Endalamew SG, Gebeye E, Assefa SK, Geremew BM.   +3 more
europepmc   +1 more source

What next? A Bayesian hierarchical modeling re-examination of treatments for adolescents with selective serotonin reuptake inhibitor-resistant depression. [PDF]

Depress Anxiety, 2020
Suresh V, Mills JA, Croarkin PE, Strawn JR.   +3 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Bayesian Hierarchical Model in Evaluating Risk Reduction within Senegalese District Hospitals Systems,

, 2009
Mamadou Diop
openalex   +1 more source

Bayesian hierarchical modeling of mucosal immune responses and growth efficiency in young animals: Demonstrating the superiority of data-dependent empirical priors. [PDF]

PLoS One
Chatterjee D, Ghosh P.
europepmc   +1 more source

Bayesian hierarchical modeling of joint spatiotemporal risk patterns for Human Immunodeficiency Virus (HIV) and Tuberculosis (TB) in Kenya. [PDF]

PLoS One, 2020
Otiende VA, Achia TN, Mwambi HG.
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Bayesian hierarchical modeling and inference for mechanistic systems in industrial hygiene. [PDF]

Ann Work Expo Health
Pan S, Das D, Ramachandran G, Banerjee S.   +3 more
europepmc   +1 more source

Restricted Tweedie stochastic block models

Canadian Journal of Statistics, EarlyView.
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley   +1 more source

Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach. [PDF]

JMIR Public Health Surveill
Haraguchi M, Klaassen F, Cohen T, Salomon JA, Menzies NA.   +4 more
europepmc   +1 more source