Results 11 to 20 of about 775,359 (318)
The impact of modeling decisions in statistical profiling [PDF]
, 2023 Statistical profiling of job seekers is an attractive option to guide the activities of public employment services. Many hope that algorithms will improve both efficiency and effectiveness of employment services’ activities that are so far often based on
Bach, Ruben L. +7 more
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Statistical Models in Clinical Studies [PDF]
, 2021 Although statistical models serve as the foundation of data analysis in clinical studies, their interpretation requires sufficient understanding of the underlying statistical framework.
Le-Rademacher, Jennifer +2 more
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Behavior of the iterative ensemble-based variational method in nonlinear problems [PDF]
Nonlinear 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
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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 +1 more
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2019 Social Accounting Matrix for Ghana [PDF]
, 2023 The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE ...
Institute for Statistical, Social, and Economic Research (ISSER) +2 more
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Tweet Analysis for Enhancement of COVID-19 Epidemic Simulation: A Case Study in Japan
Frontiers 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
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IEEE 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
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Rating Proportion-Aware Binomial Matrix Factorization for Collaborative Filtering
IEEE 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
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COVID-19 case prediction using emotion trends via Twitter emoji analysis: A case study in Japan
Frontiers 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
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Frontiers 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
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