Results 21 to 30 of about 676,174 (219)

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

open access: yesMathematics, 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   +1 more
doaj   +1 more source

Behavior of the iterative ensemble-based variational method in nonlinear problems [PDF]

open access: yesNonlinear Processes in Geophysics, 2021
The behavior of the iterative ensemble-based data assimilation algorithm is discussed. The ensemble-based method for variational data assimilation problems, referred to as the 4D ensemble variational method (4DEnVar), is a useful tool for data ...
S. Nakano, S. Nakano
doaj   +1 more source

Variational Autoencoder-Based Hybrid Recommendation With Poisson Factorization for Modeling Implicit Feedback

open access: yesIEEE Access, 2022
Hybrid recommendation, which is based on collaborative filtering and supplemented with auxiliary content information, is being actively researched due to its ability to overcome the cold-start problem.
Iwao Tanuma, Tomoko Matsui
doaj   +1 more source

Tweet Analysis for Enhancement of COVID-19 Epidemic Simulation: A Case Study in Japan

open access: yesFrontiers in Public Health, 2022
The COVID-19 pandemic, which began in December 2019, progressed in a complicated manner and thus caused problems worldwide. Seeking clues to the reasons for the complicated progression is necessary but challenging in the fight against the pandemic.
Vu Tran, Tomoko Matsui, Tomoko Matsui
doaj   +1 more source

Rating Proportion-Aware Binomial Matrix Factorization for Collaborative Filtering

open access: yesIEEE Access, 2023
Addressing biases in observed data is a major challenge in statistical and machine learning applications. This challenge also exists in recommendation systems, and various methods based on causal inference are being investigated.
Iwao Tanuma, Tomoko Matsui
doaj   +1 more source

COVID-19 case prediction using emotion trends via Twitter emoji analysis: A case study in Japan

open access: yesFrontiers in Public Health, 2023
IntroductionThe worldwide COVID-19 pandemic, which began in December 2019 and has lasted for almost 3 years now, has undergone many changes and has changed public perceptions and attitudes.
Vu Tran, Tomoko Matsui, Tomoko Matsui
doaj   +1 more source

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

open access: yesBMC 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

Prediction of metal ion ligand binding residues by adding disorder value and propensity factors based on deep learning algorithm

open access: yesFrontiers in Genetics, 2022
Proteins need to interact with different ligands to perform their functions. Among the ligands, the metal ion is a major ligand. At present, the prediction of protein metal ion ligand binding residues is a challenge. In this study, we selected Zn2+, Cu2+,
Sixi Hao   +13 more
doaj   +1 more source

Recognition of Metal Ion Ligand-Binding Residues by Adding Correlation Features and Propensity Factors

open access: yesFrontiers in Genetics, 2022
The realization of many protein functions is inseparable from the interaction with ligands; in particular, the combination of protein and metal ion ligands performs an important biological function.
Shuang Xu   +13 more
doaj   +1 more source

A Modified Conjugate Residual Method and Nearest Kronecker Product Preconditioner for the Generalized Coupled Sylvester Tensor Equations

open access: yesMathematics, 2022
This paper is devoted to proposing a modified conjugate residual method for solving the generalized coupled Sylvester tensor equations. To further improve its convergence rate, we derive a preconditioned modified conjugate residual method based on the ...
Tao Li, Qing-Wen Wang, Xin-Fang Zhang
doaj   +1 more source

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