Application of Monte Carlo Simulation (MCS) and Fuzzy Finite Element (FFEM) for Investigating the Uncertainty of Seepage in Homogeneous Earth Dams by Milad Kheiry, Farhoud Kalateh

“…The purpose of this research is to investigate the impact of uncertainty in the prediction of seepage flow through earth dams using the Fuzzy Monte Carlo Simulation (FMCS) new hybrid algorithm, which is implemented with the help of the finite element method and monte carlo simulation. …”
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A Comparative CFD Study on Simulating Flameless Oxy-Fuel Combustion in a Pilot-Scale Furnace by Mersedeh Ghadamgahi, Patrik Ölund, Tomas Ekman, Nils Andersson, Pär Jönsson

“…The current study presents a method to model the flameless oxy-fuel system, with a comparative approach, as well as validation of the predictions. The validation has been done by comparing the predicted results with previously published experimental results from a 200 kW pilot furnace. …”
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Stress intensity factors for mixed-mode crack growth in imitation models under biaxial loading by R.R. Yarullin, V.N. Shlyannikov, I.S. Ishtyriakov, M.M. Yakovlev

“…The advantages of using the computational and experimental results of imitation model II for verification and development of modern crack growth rates and lifetime prediction models are stated.…”
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Evaluation of daily based satellite rainfall estimates for flood monitoring in Gumera Watershed, Amhara region, Ethiopia by Gebrie Tsegaye Mersha, Asnake Mekuriaw

“…Future research shall be focused on the flood prediction performance of satellite-derived rainfall data.…”
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Research on Wood Defects Feature Imbalance Optimization and Recognition by Xiao Wang

“…Var Loss tends to decrease the fluctuation of prediction confidences, making model more robust in practical use. …”
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Research on M-Paul Dynamic Constitutive Relation of Q235B Steel by Li Lin, Bo Huang, Xinke Xiao, Minyuan Huang, Zhiying Liu

“…Therefore, a temperature-softening parameter was added into the temperature term of the original Paul model, and the modified M-Paul constitutive model was developed. Then, numerical prediction results obtained from Q235B steel penetration experiments using J-C (Johnson–Cook) and M-Paul constitutive models were compared. …”
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Influence of High Water Pressure on Static and Dynamic Compressive Strength of Concrete by Jikai Zhou, Xiyao Zhao, Yu Nie, Yun Tian

“…Equations for strength prediction were also provided.…”
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A spatially explicit containment modelling approach for escaped wildfires in a Mediterranean climate using machine learning by Gbenga Lawrence Alawode, Pere Joan Gelabert, Marcos Rodrigues

“…The previous containment model in Catalonia failed to account for the crucial roles of weather conditions, lacked temporal prediction and could not forecast windows for containment opportunities, prompting this research. …”
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Towards the discovery of molecules with anti-COVID-19 activity: Relationships between screening and docking results by Dmytro Anokhin, Sergiy Kovalenko, Pavlo Trostianko, Alexander Kyrychenko, Anton Zakharov, Tetiana Zubatiuk, Volodymyr Ivanov, Oleg Kalugin

“…We use the logistic regression to construct the predictive model for the main protease Mpro inhibitors.…”
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Case Study on the Mutual Influence of Simultaneous Construction of Adjacent Deep Foundation Pit with Cover-Excavation Reverse Method by Yong-Gang Xiao, Xiao-Min Liu, Xiao-Pei He, Chen Zheng, Qiang–Qiang Bai, Yu Zhang

“…The findings and lessons learned from these two adjacent pits, both of which were constructed using the cap-and-reverse method, can help professionals optimize excavation design and construction, as well as performance prediction and control.…”
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Is the Linear Modeling Technique Good Enough for Optimal Form Design? A Comparison of Quantitative Analysis Models by Yang-Cheng Lin, Chung-Hsing Yeh, Chen-Cheng Wang, Chun-Chun Wei

“…The consumer-oriented design approach uses quantification theory type I, grey prediction (the linear modeling technique), and neural networks (the nonlinear modeling technique) to determine the optimal form combination of product design for matching a given product image. …”
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Exploring climate change resilience of major crops in Somalia: implications for ensuring food security by Abdikafi Hassan Abdi, Mohamed Okash Sugow, Dhaqane Roble Halane

“…Based on these results, the study proposes the adoption of climate-resilient crop varieties, investment in irrigation infrastructure, enhanced weather prediction and early warning systems, as well as the promotion of sustainable land management.…”
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RCSD1-ABL1 Translocation Associated with IKZF1 Gene Deletion in B-Cell Acute Lymphoblastic Leukemia by Shawana Kamran, Gordana Raca, Kamran Nazir

“…Our findings highlight the association of the deletion of IKZF1 gene with the t(1;9)(q24;q34) and illustrate the importance of comprehensive cytogenetic and molecular evaluation for accurate prediction of prognosis in patients with B-cell ALL.…”
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Lunar Calendar Usage to Improve Forecasting Accuracy Rainfall via Machine Learning Methods by Gumgum Darmawan, Gatot Riwi Setyanto, Defi Yusti Faidah, Budhi Handoko

“…The lunar calendar model demonstrated higher accuracy in its prediction, exhibiting smaller errors (MAPE and MBE values), whereas the Gregorian calendar model yielded somewhat larger errors and tended to underestimate the values. …”
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Estimating Alarm Thresholds for Process Monitoring Data under Different Assumptions about the Data Generating Mechanism by Tom Burr, Michael S. Hamada, John Howell, Misha Skurikhin, Larry Ticknor, Brian Weaver

“…One of the possible new PM roles involves PM residuals, where a residual is defined as residual = data − prediction. This paper reviews alarm threshold estimation, introduces model selection options, and considers a range of assumptions regarding the data-generating mechanism for PM residuals. …”
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Static and Dynamic Model Calibration for Upper Thermosphere Determination by Haibing Ruan, Jiuhou Lei, Jianyong Lu

“…The results from the dynamic calibration model indicated considerably improved thermospheric representation, especially for small‐scale or short‐term variations, toward a better thermospheric prediction.…”
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Experimental and Numerical Studies on Wave Breaking Characteristics over a Fringing Reef under Monochromatic Wave Conditions by Jong-In Lee, Sungwon Shin, Young-Taek Kim

“…However, as the wave nonlinearity and steepness increase, the one-layer model showed problems in prediction and stability due to the error on the vertical profile of fluid velocity. …”
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Blending-Based Ensemble Learning Low-Voltage Station Area Theft Detection by Dunchu Chen, Wenwu Li, Jie Fang

“…Then, based on the historical data, the model makes a short-term prediction of the power consumption of the station area the next day, and focuses on the verification of the suspected energy-stealing station area where the Root Mean Square Percentage Error (RSPE) exceeds the threshold, so as to lock in the potential energy stealing users. …”
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Investigation of the Relation between South and Southwest Iran\'s Heavy Rainfall with Atmospheric Rivers (ARs). by Nesa sepandar, kamal omidvar

“…For this purpose, daily rainfall of 17 synoptic stations in the period 1986 to 2015 in south and southwestern Iran that have a common time span and fully cover the study area is used.Also from the data set of the National Center for Environmental Prediction / National Center for Atmospheric Research (NCEP / NCAR) European Mid-Term Forecast Center (ECMWF) and ERA-interim data with spatial resolution of 0.75 It was used at 0.75 latitude and longitude with 6 hour resolution. …”
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Electronic Health Record Use Patterns Among Well-Being Survey Responders and Nonresponders: Longitudinal Observational Study by Daniel Tawfik, Tait D Shanafelt, Mohsen Bayati, Jochen Profit

“…We quantified EHR use using vendor-derived and investigator-derived measures, quantified burnout symptoms using emotional exhaustion and interpersonal disengagement subscales of the Stanford Professional Fulfillment Index, and used an ensemble of response propensity-weighted penalized linear regressions to develop a burnout symptom prediction model. ResultsAmong 697 surveys from 477 physicians with a response rate of 80.5% (697/866), always responders were similar to nonresponders in gender (204/340, 60% vs 38/66, 58% women; PPPPP ConclusionsEHR use measures showed limited utility for predicting burnout symptoms but allowed discrimination between responders and nonresponders. …”
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