Comprehensive Analysis of Masking Techniques in Molecular Graph Representation Learning by Bonyou Koo, Sunyoung Kwon

“…Molecule representation learning is a primary area of focus in drug discovery and molecular property prediction. In previous studies, molecules have been modeled as graphs, enabling graph neural networks (GNNs) to capture essential structural information. …”
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Can Occupational Stress be Reduced by Gamification? A Study of Newcomers by Žigimantas Pečiūra

“…Finally, gameful experiences related to guidance, social connectedness, accomplishments, and playfulness predicted lower stress scores. …”
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DESIGN AND EXPERIMENTAL STUDY ON KEY COMPONENTS OF WOOD PILE CRUSHER by SHUI JiaKun, LIAO Kai, YANG DaoYu, LI LiJun, GAO ZiCheng, SONG LiNa

“…Firstly, The mechanical model of tool hobbing is established to analyze the relationship between pile and tool; Secondly, BBD method was used to set the three-factor three-level experiment scheme with feed, rotation and ABAQUS software is used to perform hobbing force simulation calculation, numerical fitting is carried out between the calculation results and the inluencing factors, and the interaction relation of each factor is analyzed to obtain the hobbing force prediction function model; Thirdly, according to the function and the simulation experiment, the optimum parameters are the minimum hobbing force when the feed speed is 60 mm/s, the rotation speed is 1 000 r/min and the hobbing depth is 15 mm. …”
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Design and Parameter Identification of Wireless Torque Test System for Hybrid Vehicles by Li Jie, Zhou Yijian, Geng Chong, Pang Jinlu

“…The reliability of the test data is further verified, which provides an effective data basis for the accurate prediction of torque model.…”
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DAG-Based Swarm Learning Approach in Healthcare: A Survey by David Gana, Faisal Jamil

“…This paper highlights the transformative impact of these technologies on medical diagnostics, disease prediction, and precision medicine.…”
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Volume equations for Scots pine trees in Kastamonu region by Dilara Nur Zaifoğlu, Fadime Sağlam

“…Four statistical criteria were employed to identify the best predictive models. The coefficients of determination for the best predictive single- and double-entry models were found to be 0.972 and 0.975, respectively. …”
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Deep Learning-Based Remote Sensing Image Analysis for Wildfire Risk Evaluation and Monitoring by Shiying Yu, Minerva Singh

“…Although deep learning models outperform traditional methods in predicting wildfires, their accuracy drops to about 90% when using remotely sensed data. …”
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CoTF-reg reveals cooperative transcription factors in oligodendrocyte gene regulation using single-cell multi-omics by Jerome J. Choi, John Svaren, Daifeng Wang

“…Next, we train a deep learning model to predict each TG expression using the co-binding TFs’ expressions. …”
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Mechanical Properties of Fiber Reinforced Lightweight Concrete Containing Surfactant by Yoo-Jae Kim, Jiong Hu, Soon-Jae Lee, Byung-Hee You

“…Based on the properties, a stress-strain prediction model was proposed. It was demonstrated that the proposed model accurately predicts the stress-strain behavior of FALC.…”
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Numerical study of TRIP transformation in 35NCD16 steel-effects of plate orientation and some criteria by Mounir Gaci, Fedaoui Kamel, Lazhar Baroura, Amar Talhi

“…The impact of increasing mechanical traction load, accompanied by a martensitic transformation on the scale of a single grain with boundary has been studied. The prediction transformation of induced plasticity (TRIP) was evaluated by taking into account the following parameters: twenty shear directions of the martensitic plates, two values of the shear deformation of the martensitic plates, energetic and thermodynamics criteria for getting in order the transformation of the martensitic plates, elastoplastic behavior of the two areas in the first case (martensitic plate and grain boundary) and elastic behavior for the grain boundary in the second case. …”
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Platelet Distribution Width: A Severity Marker Of Pre Eclampsia, Experience At Tertiary Care Hospital by Mariam Zahir, Shagufta Saeed Sial, Humera Noreen

“…Conclusion: PDW is a useful marker for the prediction of the severity of preeclampsia before the disease progresses to severe preeclampsia and HELLP. …”
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Saturation Height Modelling for Tight Sandstone Reservoirs with Gas Diffusion Dynamics Taken into Account by Zhou Lyu, Zhilun Yang, Yuhong Hao, Shunzhi Yang, Liqiong Wang, Sen Chang, Xiaomin Xue, Jing Li

“…Interpreting and predicting the saturation of tight sandstone gas reservoirs are the key task to improve the reservoir development. …”
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Genetic Risk Factors for Metabolic Dysfunction-Associated Steatotic Liver Disease by Yiying Pei, George Boon-Bee Goh

“…This review discusses the current body of knowledge regarding these genetic drivers and how they can lead to development of MASLD, the complex interplay with metabolic factors such as obesity, and how this information has translated clinically into the development of risk prediction models and possible treatment targets.…”
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Exploring the value of digital twins for information management in highway asset maintenance by Mengtian Yin, Varun Kumar Reja, Ran Wei, Ioannis Brilakis, Brian Sheil, Federico Perrotta, Alix Marie d'Avigneau, Linjun Lu

“…This paper describes results from a survey exploring DTs' potential in highway maintenance, starting with interviews with 20 experts to understand current processes, followed by a questionnaire survey to identify phases, features, applications, and use cases perceived as important by practitioners for road DTs. 183 responses reveal that DTs are widely deemed useful for asset deterioration prediction, strategy-making for routine maintenance planning, and scenario design for road investigation and repair in project-level maintenance.…”
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Epidermal Growth Factor Receptor Gene in Non-Small-Cell Lung Cancer: The Importance of Promoter Polymorphism Investigation by Vladimir Jurišić, Jasmina Obradovic, Sonja Pavlović, Nataša Djordjevic

“…The accumulation of knowledge regarding SNPs lately suggests their significant and important role in the onset of carcinogenesis, the prediction of the onset of metastases, the response to therapy with TKI inhibitors, and the onset of toxic effects of the applied therapy. …”
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Modelling of Heat Transfer Phenomena for Vertical and Horizontal Configurations of In-Pool Condensers and Comparison with Experimental Findings by Davide Papini, Antonio Cammi

“…Several thermal-hydraulic features were explored, being the analysis mainly devoted to the description of the best-estimate correlations and models for heat transfer coefficient prediction. In spite of a more critical behaviour concerning thermal expansion issues, vertical tube condensers offer remarkably better thermal-hydraulic performances. …”
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Novel 2D strain-rate-dependent lamina-based and RVE/phase-based progressive fatigue damage criteria for randomly loaded multi-layer fiber-reinforced composites by M. Shariyat

“…Two implicit progressive fatigue damage models that rely on new equivalent-damage and equivalent-stress criteria are presented for the prediction of various failure modes of the composites. …”
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Assessment of Turbulence Models for Flow Simulation around a Wind Turbine Airfoil by Fernando Villalpando, Marcelo Reggio, Adrian Ilinca

“…With the aim of selecting the most suitable turbulence model to simulate flow around ice-accreted airfoils, this work concentrates on assessing the prediction capabilities of various turbulence models on clean airfoils at the large angles of attack that cause highly separated flows to occur. …”
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A Framework for the Objective Assessment of Registration Accuracy by Francesca Pizzorni Ferrarese, Flavio Simonetti, Roberto Israel Foroni, Gloria Menegaz

“…The basic idea consists in predicting the accuracy of a given pipeline based on the identification and characterization of the sources of inaccuracy. …”
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Research on the Safety Thickness of Tunnel Outburst Prevention in Water-Rich Fault Fracture Zone Based on Janssen’s Theory by Zuliang Zhong, Yapeng Li, Xiaohan Zhou

“…The results show that: (1) the calculation formula of outburst prevention thickness proposed in this paper is more perfect and shows good prediction effect for deep- and shallow-buried tunnels; (2) the greater the angle α between tunnel axis and fault zone and the dip θ of fault fracture zone, the smaller the critical safety thickness of outburst prevention and the safer it is for tunnel construction; (3) when the fault fracture zone inclines inward relative to the tunnel face, the gravity of the rock mass in the fault zone will lead to an increase in the safety thickness of outburst prevention, and reinforcement measures should be taken during actual construction.…”
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