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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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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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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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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Numerical Modeling of Unsteady Cavitating Flows around a Stationary Hydrofoil by Antoine Ducoin, Biao Huang, Yin Lu Young

“…The objective of this paper is to evaluate the predictive capability of three popular transport equation-based cavitation models for the simulations of partial sheet cavitation and unsteady sheet/cloud cavitating flows around a stationary NACA66 hydrofoil. …”
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DeepFusion: Fusing User-Generated Content and Item Raw Content towards Personalized Product Recommendation by Mingxin Gan, Hang Zhang

“…In addition, we further explore the relative importance of various item metadata information on improving the rating prediction performance towards personalized product recommendation, which is extremely valuable for feature extraction in practice.…”
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A Novel Continuous Fracture Network Model: Formation Mechanism, Numerical Simulation, and Field Application by Zixi Guo, Jinzhou Zhao, Xinhao Sun, Chengwang Wang, Dali Guo, Haoran Hu, Hongna Wang, Qinggang Zeng

“…Compared with the traditional Meyer software, the average error of prediction was reduced by 7.86%.…”
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Using Improved XGBoost Algorithm to Obtain Modified Atmospheric Refractive Index by Yanbo Mai, Zheng Sheng, Hanqing Shi, Qixiang Liao

“…Finally, the mean absolute percentage error (MAPE) and root mean-squared error (RMSE) are used as evaluation criteria to compare the prediction results of improved XGBoost algorithm with backpropagation (BP) neural network and traditional XGBoost algorithm. …”
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Analysis Method for Ground Settlement Induced by Ultra-Deep Excavation in Hangzhou Soft Clay Considering Time-Space Effect by XIONG Yifan, YING Hongwei, ZHANG Jinhong, CHENG Kang, LI Binghe

“…Finally, a rapid approach was proposed for predicting ground settlements while accounting for the temporal and spatial influences. …”
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In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability by Azhar Ali Khaked, Nobuyuki Oishi, Daniel Roggen, Paula Lago

“…Deep learning (DL)-based Human Activity Recognition (HAR) using wearable inertial measurement unit (IMU) sensors can revolutionize continuous health monitoring and early disease prediction. However, most DL HAR models are untested in their robustness to real-world variability, as they are trained on limited lab-controlled data. …”
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Effects of Pooling Samples on the Performance of Classification Algorithms: A Comparative Study by Kanthida Kusonmano, Michael Netzer, Christian Baumgartner, Matthias Dehmer, Klaus R. Liedl, Armin Graber

“…Guidelines are derived to identify an optimal pooling scheme for obtaining adequate predictive power and, hence, to motivate a study design that meets best experimental objectives and budgetary conditions, including time constraints.…”
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Genome Stability Pathways in Head and Neck Cancers by Glenn Jenkins, Kenneth J. O'Byrne, Benedict Panizza, Derek J. Richard

“…Targeted inhibition of signalling receptors has proven to be a clinically-validated therapy, and protein expression of other DNA repair and signalling molecules associated with cancer behaviour could potentially provide a more refined clinical model for prognosis and treatment prediction. Development and expansion of current genomic stability models is furthering our understanding of HNSCC pathophysiology and uncovering new, promising treatment strategies.…”
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Numerical Simulation of Helicopter Rotor Performance Degradation in Natural Rain Encounter by Guozhi Li, Yihua Cao

“…In this article, in order to quickly understand the influence of rainfall aiming at the engineering application, an approach to predict helicopter rotor performance degradation in heavy rain encounters is presented. …”
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A Rare Case of Meconium Periorchitis Diagnosed in Utero by Daigo Ochiai, Sayu Omori, Toshiyuki Ikeda, Kazumi Yakubo, Tatsuro Fukuiya

“…To date, clinical significance of meconium periorchitis for the prenatal diagnosis of meconium peritonitis and prediction for postnatal surgery remains to be determined. …”
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