Development of a Bayesian Network-based Safety Performance Quantification Model on building construction projects in Korea by Taegeun Song, Kiseok Lee, Yoonseok Shin, Wi Sung Yoo

Subjects: “…safety performance quantification model (spqm)…”
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Modeling and simulations of hydrodynamic shocks in a plasma flowing across randomized ICF scale laser beams by Hüller, S., Ludwig, J. D. T., Rose, H. A., Bruulsema, C., Farmer, W., Michel, P., Milder, A. L., Swadling, G. F., Rozmus, W.

“…This scenario has been predicted theoretically and is confirmed here by our hydrodynamic simulations in two dimensions with speckled beams and in one dimension with a reduced model. The conditions of shock generation are given in terms of the ponderomotive pressure, speckle size and the flow velocity. …”
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A Comparison of Two Land Use Simulation Models under the RCP4.5 Scenario in China by Feng Wu, Jinyan Zhan, Qian Xu, Yihui Xiong, Zhongxiao Sun

“…However, there have been very few global LUCC simulation models, especially the models that can be used to analyze the interaction among the socioeconomic development, climate change, and LUCC. …”
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Data cache optimization model based on cyclic genetic ant colony algorithm in edge computing environment by Danyue Wang, Xingshuo An, Xianwei Zhou, Xing Lü

“…Since the edge node has limited cache space, efficient data caching model is needed to improve the performance of edge computing. …”
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The Effect of an Educational Program Based on Behavioral Intention Model on Childbearing in Women During the Covid 19 Pandemic by Somayeh Seifi, Shahnaz Kohan, Zahra Boroumandfar

“…Conclusions: It seems that the implementation of the use of theoretical models can be effective in the informed decision of families, especially women, for childbearing.…”
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Model Experimental Study of Carbon Fiber Heating Wire for Deicing and Snow Melting on a Bridge Deck by Yan Tan, Yuntao Zhu, Henglin Xiao

“…In order to use the carbon fiber heating wire more efficiently and safely, the influence of the built-in carbon fiber heating wires (CFHWs) on the temperature changes of the bridge deck is studied in this paper. The model experiments of the temperature rise and ice melting are carried out in a room with low temperature cold storage environment, and the temperature variation of the specimens under different ambient temperatures, namely, −2, −4, and −8°C, was measured. …”
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Providing the Entrepreneurship Development Model Women with a sustainable rural development appriach in Gulistan e Jauhar by Nafiseh VarkianiPor, Seyed Mohammadreza Hosseini, Roohalla Samiee, Majid shrafi

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Quality and reliability of IFC/BIM models for public educational facilities construction projects via clash detection by Michał Juszczyk, Mantas Vaišnoras, Robertas Kontrimovičius, Tomáš Hanák, Hanna Łukaszewska, Leonas Ustinovichius

Subjects: “…IFC/BIM monodiscipline models…”
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A Model of Tuberculosis Screening for Pregnant Women in Resource-Limited Settings Using Xpert MTB/RIF by Eleanor R. Turnbull, Nzali G. Kancheya, Jennifer B. Harris, Stephanie M. Topp, German Henostroza, Stewart E. Reid

“…Recently the WHO endorsed Xpert MTB/RIF, a highly sensitive, real-time PCR assay for Mycobacterium tuberculosis that simultaneously detects rifampicin resistance directly from sputum and provides results within 100 minutes. We propose a model for same-day TB screening and diagnosis of all pregnant women at antenatal care using Xpert MTB/RIF. …”
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Evaluation of Machine Learning Models for Stress Symptom Classification of Cucumber Seedlings Grown in a Controlled Environment by Kyu-Ho Lee, Samsuzzaman, Md Nasim Reza, Sumaiya Islam, Shahriar Ahmed, Yeon Jin Cho, Dong Hee Noh, Sun-Ok Chung

“…Advanced machine learning (ML) models combined with image-based analysis offer promising solutions for precise, non-invasive stress monitoring. …”
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A volume-preserving model for predicting the geometry of traces produced by drop-on-demand 3D printing by R. Zamora, F. Faura, J. López, J. Hernández

“…A model is proposed to predict the geometry of traces generated by molten metal droplet deposition on a flat solid surface. …”
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The Protective Effect of Docosahexaenoic Acid on Mitochondria in SH-SY5Y Model of Rotenone-Induced Toxicity by Britta Eggers, Jennifer Stepien, Anne-Katrin Reker, Svenja Esser, Kathy Pfeiffer, Magdalena Pawlas, Katalin Barkovits, Katrin Marcus

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A Comparative Study of VMD-Based Hybrid Forecasting Model for Nonstationary Daily Streamflow Time Series by Hui Hu, Jianfeng Zhang, Tao Li

“…This study proposes a new data-driven model that combined the variational mode decomposition (VMD) and the prediction models for daily streamflow forecasting. …”
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KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning by Huimin Luo, Huimin Luo, Hui Yang, Hui Yang, Ge Zhang, Ge Zhang, Jianlin Wang, Jianlin Wang, Junwei Luo, Chaokun Yan, Chaokun Yan, Chaokun Yan

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Building Spectral Element Dynamic Matrices Using Finite Element Models of Waveguide Slices and Elastodynamic Equations by P.B. Silva, A.L. Goldstein, J.R.F. Arruda

“…In this work, a method to build spectral finite elements from a finite element model of a slice of a structural waveguide (a structure with one dimension much larger than the other two) is proposed. …”
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PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION by Eghbal Motaei, Seyed Mehdi Tabatabai, Tarek Ganat, Ahmad Khanifar, Sulaiman Dzaiy, Timur Chis

“…The physics-driven features, derived from experience or analytical modeling, introduce physical relevance and improve model quality. …”
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A Comparative Study of Marketing Channel Multiagent Stackelberg Model Based on Perfect Rationality and Fairness Preference by Kaihong Wang, Xu Yang, Yiwan Sun, Chuan Ding

“…As a basis for comparison, the first, multiagent Stackelberg model has been structured based on perfect rationality. …”
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Retrieval‐augmented generation versus document‐grounded generation: a key distinction in large language models by Shunsuke Koga, Daisuke Ono, Amrom Obstfeld

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Human interpretable structure-property relationships in chemistry using explainable machine learning and large language models by Geemi P. Wellawatte, Philippe Schwaller

“…Abstract Explainable Artificial Intelligence (XAI) is an emerging field in AI that aims to address the opaque nature of machine learning models. Furthermore, it has been shown that XAI can be used to extract input-output relationships, making them a useful tool in chemistry to understand structure-property relationships. …”
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Analyzing the Influence of Mobile Phone Use of Drivers on Traffic Flow Based on an Improved Cellular Automaton Model by Yao Xiao, Jing Shi

“…An improved cellular automaton model was proposed to simulate traffic flow with distracted drivers based on the Nagel-Schreckenberg model. …”
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