Results 21 to 30 of about 5,533,553 (249)

Variational Bayesian Inference in High-Dimensional Linear Mixed Models

Mathematics, 2022
In high-dimensional regression models, the Bayesian lasso with the Gaussian spike and slab priors is widely adopted to select variables and estimate unknown parameters. However, it involves large matrix computations in a standard Gibbs sampler.
Jieyi Yi, Niansheng Tang
doaj   +1 more source

A nonparametric Bayesian continual reassessment method in single-agent dose-finding studies

BMC Medical Research Methodology, 2018
Background The main purpose of dose-finding studies in Phase I trial is to estimate maximum tolerated dose (MTD), which is the maximum test dose that can be assigned with an acceptable level of toxicity.
Niansheng Tang, Songjian Wang, Gen Ye
doaj   +1 more source

Genome-wide association study reveals BET1L associated with survival time in the 137,693 Japanese individuals

Communications Biology, 2023
A genome-wide association study in the BioBank Japan cohort reveals new locus, BET1L, which is associated with survival time in a Japanese population.
Masato Akiyama, Saori Sakaue, Atsushi Takahashi, Kazuyoshi Ishigaki, Makoto Hirata, Koichi Matsuda, Yukihide Momozawa, Yukinori Okada, Toshiharu Ninomiya, The Biobank Japan project, Chikashi Terao, Yoshinori Murakami, Michiaki Kubo, Yoichiro Kamatani   +13 more
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Statistical design and analysis [PDF]

Proceedings of the 18th conference on Winter simulation - WSC '86, 1986
After a general simulation model is built, coded, verified, and validated, it is used to learn about the system(s) under study, requiring careful prior design of the runs and appropriate analysis of their output. This paper surveys methods for effective and efficient design and analysis of simulation experiments.
openaire   +1 more source

Mathematical Modelling of Physiological Effects Caused by a Glycine Receptors Post-Synaptic Density Spatial Polymorphism

Mathematics, 2023
Synaptic transmission is the main process providing cross-connecting activity among neurons in the central nervous system (CNS). In the present study, the 3D mathematical model of a neuronal bouton with a cluster localization of glycine receptors (GlyRs)
Yaroslav R. Nartsissov, Leonid A. Ivontsin   +1 more
doaj   +1 more source

Explainable features responsible for the high or low spread of SARS-CoV-2: Africa in view

Scientific African, 2022
The low spread of the global pandemic in Africa has raised concerns. Consequently, many commentators have misconstrued concerns suspecting weather, and immunity to be prime reasons.
Olalekan J. Akintande, Olusanya E. Olubusoye, OlaOluwa S. Yaya, Adeyinka O. Abiodun   +3 more
doaj   +1 more source

Evaluation of some Bread Wheat Genotypes under Saline Soil Conditions Using Tolerance Indices and Multivariate Analysis [PDF]

Journal of Plant Production, 2017
The present investigation was conducted in a field experiments at Sakha Agricultural Research Station Farm to evaluate 24 bread wheat genotypes during the two growing seasons 2014/2015 and 2015/2016 under normal and salinity stress conditions.
W. Fares, Eman Hussein, M. Darwish
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The evaluation and optimization of the agricultural sustainable development based on a data-driven approach: A case from Northern Anhui

Heliyon
The sustainable advancement of agriculture stands as the fundamental cornerstone of sustainable human progress. This study introduces a data-centric methodological framework founded upon the holistic delineation of measurement, feature assessment, and ...
Fengwei Gao, Zhuangzhuang Li, Pei Zhang, Yimin Wu   +3 more
doaj   +1 more source

ECONOMIC EVALUATION FOR IMPACT OF ENVIRONMENTAL FACTORS ON EGYPTIAN COTTON PRODUCTION [PDF]

Arab Universities Journal of Agricultural Sciences, 2005
Cotton in Egypt has an important economic situation. Thus the study aimed to evaluate the expected economic effects and productivity of environmental factors on Egyptian cotton production.
M.A. Gad, Abo-Zaied Atiyat M.E., Gabr Enas, M.M., Hussien Heba M.F.   +3 more
doaj   +1 more source

Adaptive Differential Privacy Cox-MLP Model Based on Federated Learning

Mathematics
In the data-driven healthcare sector, balancing privacy protection and model performance is critical. This paper enhances accuracy and reliability in survival analysis by integrating differential privacy, deep learning, and the Cox proportional hazards ...
Jie Niu, Runqi He, Qiyao Zhou, Wenjing Li, Ruxian Jiang, Huimin Li, Dan Chen   +6 more
doaj   +1 more source