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12181
Teachers’ and Parents’ Assessments of Primary School Children’s Intellectual Investment as Predictors of Change in Need for Cognition
Published 2025-01-01“…The present study investigated whether parents’ and teachers’ evaluations of children’s intellectual investment would predict a change in children’s need for cognition (NFC) over one year. …”
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12182
A Quantitative Structure-Activity Relationship and Molecular Modeling Study on a Series of Heteroaryl- and Heterocyclyl-Substituted Imidazo[1,2-a]Pyridine Derivatives Acting as Aci...
Published 2013-01-01“…The ADME properties of these predicted compounds have also been reported that follow Lipinski’s rule of five.…”
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12183
Meta-models for transfer learning in source localization
Published 2024-01-01“…In contrast, this work looks to capture the interdependencies between acoustic emission (AE) experiments (as meta-models) and then use the resulting functions to predict the model hyperparameters for previously unobserved systems. …”
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12184
Asymmetric projection of introspection reveals a behavioural and neural mechanism for interindividual social coordination
Published 2025-01-01“…We might estimate how well someone else will perform by extrapolating from estimates of how well we ourselves would perform. This account predicts that our metacognitive model should make accurate predictions when projected onto people as good as, or worse than, us but not on those whose abilities exceed our own. …”
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12185
Optimal adjustment of deep neural network parameters in estimating lost vital sign data in body wireless sensor networks
Published 2023-09-01“…This model combines five vital signs as input to predict the amount lost. The results show that sgdm-LSTM is a good way to estimate the amount lost. …”
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12186
Developing a Suitable Model for Water Uptake for Biodegradable Polymers Using Small Training Sets
Published 2016-01-01“…Prediction of the dynamic properties of water uptake across polymer libraries can accelerate polymer selection for a specific application. …”
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12187
AlphaFold2 and ESMFold: A large-scale pairwise model comparison of human enzymes upon Pfam functional annotation
Published 2025-01-01“…AlphaFold2 predicts protein structures from structural and functional knowledge. …”
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12188
An Improved Micromechanical Framework for Saturated Concrete Repaired by the Electrochemical Deposition Method considering the Imperfect Bonding
Published 2016-01-01“…Meanwhile, new multilevel homogenization schemes are employed to predict the effective properties of repaired concrete considering the ITZ effects. …”
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12189
A guide for active learning in synergistic drug discovery
Published 2025-01-01“…While AI, particularly deep learning, has advanced synergy predictions, its effectiveness is limited by the low occurrence of synergistic drug pairs. …”
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12190
Early Warning System for Debt Group Migration: The Case of One Commercial Bank in Vietnam
Published 2024-09-01“…This study utilizes machine learning models, including Logistic Regression, Support Vector Machine, Decision Tree, and Random Forest, in the early warning system for debt group migration in a Vietnamese commercial bank. In predicting customers’ overdue debt migration (B Score), the RF model achieves the highest accuracy of 81.84%. …”
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12191
Constraints on the Higgs boson self-coupling from the combination of single and double Higgs boson production in proton-proton collisions at s=13TeV
Published 2025-02-01“…The combination of event categories enriched in single-H and HH events is used to measure κλ, defined as the value of λ3 normalized to its standard model prediction, while simultaneously constraining the Higgs boson couplings to fermions and vector bosons. …”
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12192
Indirect Inverse Substructuring Method for Multibody Product Transport System with Rigid and Flexible Coupling
Published 2015-01-01“…The method developed offers an approach to predict the unknown coupling dynamic stiffness from measured FRFs purely. …”
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12193
Interpretable machine learning model of effective mass in perovskite oxides with cross-scale features
Published 2025-01-01“…The interpretability of machine learning reveals associations between input features and predicted physical properties in models, which are essential for discovering new materials. …”
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12194
Startup Survival Forecasting: A Multivariate AI Approach Based on Empirical Knowledge
Published 2025-01-01“…Predicting the survival of startups is a complex challenge due to the multifaceted nature of entrepreneurial ecosystems and the dynamic interplay of internal and external factors. …”
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12195
Analysis and Simulation of SIRS Model for Dengue Fever Transmission in South Sulawesi, Indonesia
Published 2021-01-01“…Simulation of the SIRS model for dengue fever can predict the number of dengue cases in South Sulawesi that could be a recommendation for the government in an effort to prevent the number of dengue fever cases.…”
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12196
The TACOS Technique: A Stepwise Protocol for Alveolar Ridge Augmentation Using Customized Titanium Mesh
Published 2025-01-01“…Emphasis is placed on the technique’s feasibility, predictability, and the critical steps necessary for preventing complications. …”
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12197
An exploration of whether the extent and orientation of the discrepancy in perceived and actual mathematical efficacy affects mathematical anxiety
Published 2023-01-01“…In the first-grade 1 students, mathematics anxiety was predicted by underestimation but not overestimation of efficacy.…”
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12198
Antibody association in solution: cluster distributions and mechanisms
Published 2024-12-01“…Multi-body properties such as viscosity are well predicted experimentally by the 2-body Kirkwood-Buff quantity, G22, but not by the second virial coefficient, B22, and well-predicted theoretically from the Wertheim protein–protein sticking energy. …”
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12199
Hydrodynamic Performance of an Oscillating Water Column Device Installed in an Offshore Wind Turbine
Published 2025-01-01“…Furthermore, the operating performance of the optimized device under irregular wave conditions was predicted.…”
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12200
Curiosity shapes spatial exploration and cognitive map formation in humans
Published 2024-12-01“…Furthermore, both curiosity and spatial exploration predicted how precisely participants could recall spatial-relational details of the environment, as measured by a sketch map task. …”
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