Modeling of Surface Drainage during the Service Life of Asphalt Pavements Showing Long-Term Rutting: A Modular Hydromechanical Approach by Stefan Alber, Barbara Schuck, Wolfram Ressel, Ronny Behnke, Gustavo Canon Falla, Michael Kaliske, Sabine Leischner, Frohmut Wellner

“…In the third step, information regarding the current pavement geometry (deformed pavement surface) is used to carry out a surface drainage analysis to predict, e.g., the thickness of the water film or the water depth in the pavement ruts as a function of several influencing quantities. …”
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Experimental and Numerical Investigation on Infilled Vertical Well LASER-Assisted SAGD by Ding Chao, Wu Yongbin, Yang Guo, Luo Chihui

“…The performance of accelerating thermal communication and production improvement by LASER has been validated by 4 SAGD wellpairs in field practice, and its long-term prediction result shows significant potential in similar heterogeneous SAGD reservoirs.…”
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Integration of field data and application of machine learning methods to assess the condition of the near-wellbore zone of carbonate reservoirs by Andrey V. Soromotin, Dmitriy A. Martyushev

“…To develop a methodology for increasing the accuracy of the near-wellbore zone permeability prediction of carbonate reservoirs based on the use of machine learning methods. …”
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Research on Clue Mining in Criminal Cases of Smart Phone Trojan Horse under the Background of Information Security by Li Gang, Yong Wen

“…For the same unlabeled event pair, the relationship prediction results are consistent; then, the event pair is considered to have a higher classification confidence and is placed in the labeled set of the third classifier after labeling. …”
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Two-Phase Relative Permeability Curves of Bingham Heavy Oil Under Different Types of Wettability: A Theoretical Model by Qing Wang, Yu Li, Chao Peng, Jiao Peng, Jingyu Fu, Renjie Liu, Huiqing Liu, Jiaxin Li, Hao Peng

“…The saturations of the remaining oil and irreducible water also play a vital role in the prediction of permeability. The work can afford good application prospects for the flow behavior of Bingham heavy oil in pores with different types of wettability.…”
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Research on Cam–Kalm Automatic Tracking Technology of Low, Slow, and Small Target Based on Gm-APD LiDAR by Dongfang Guo, Yanchen Qu, Xin Zhou, Jianfeng Sun, Shengwen Yin, Jie Lu, Feng Liu

“…Combining the target motion state prediction of the Kalman filter and the adaptive target tracking of Camshift, a Cam–Kalm algorithm is proposed to achieve high-precision and stable tracking of moving targets. …”
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Pain Sensitization and Neuropathic Pain-like Symptoms Associated with Effectiveness of Exercise Therapy in Patients with Hip and Knee Osteoarthritis by Takafumi Hattori, Kazuhiro Shimo, Yuto Niwa, Yuichi Katsura, Yuji Tokiwa, Satoshi Ohga, Takako Matsubara

“…These findings could be useful for prognosis prediction and for planning exercise therapy and combining with other treatment.…”
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CPTU-Based Offshore Wind Monopile Rigid Bearing Mechanism Analysis by Jie Zhou, Renjie Gu, Panpan Shen, Chengjun Liu, Zeyao Li, Kefan Zhu, Zhenming Shi

“…However, the conventional offshore wind monopile bearing capacity prediction from the American Petroleum Institute (API) based on the small-diameter flexible pile field test is inaccurate with the rigid mechanism of large-diameter monopile causing economically loss. …”
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Mapping dynamic regulation of gene expression using single-cell transcriptomics and application to complex disease genetics by Hanna Abe, Phillip Lin, Dan Zhou, Douglas M. Ruderfer, Eric R. Gamazon

“…Using longitudinal, genetically determined expression, we implement a predictive causality framework, evaluating the prediction of future values of a target gene expression using prior values of a putative regulatory gene. …”
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Glacial lakes outburst susceptibility and risk in the Eastern Himalayas using analytical hierarchy process and backpropagation neural network models by Sandeep Kumar Mondal, Jyotindra Narayan, Chitesh Sharma, Rishikesh Bharti, Santosha Kumar Dwivedy, Pinaki Roy Chowdhury, Ramesh P. Singh

“…Three backpropagation multilayer perceptron neural network (BPMLPNN) models with Bayesian Regularization (BR-), Levenberg-Marquardt (LM-), and Gradient Descent with Momentum and Adaptive Learning Rate (GDX-) optimizers are designed to have better prediction accuracies compared to the AHP target scores. …”
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Circular RNA ITCH Is a Tumor Suppressor in Clear Cell Renal Cell Carcinoma Metastasis through miR-106b-5p/PDCD4 Axis by Ping Gao, Yong Huang, Yanmei Hou, Qian Li, Haimei Wang

“…Transwell assay and wound healing were applied to investigate migration and invasion of ccRCC cells. Target gene prediction and screening and luciferase reporter gene assays were utilized to assess downstream target genes of circ-ITCH. …”
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Expanding the miRNA Transcriptome of Human Kidney and Renal Cell Carcinoma by Adam P. Sage, Brenda C. Minatel, Erin A. Marshall, Victor D. Martinez, Greg L. Stewart, Katey S. S. Enfield, Wan L. Lam

“…Indeed, we find some of these miRNAs to be significantly associated with patient survival. Finally, target prediction and subsequent pathway analysis reveals that miRNAs previously unannotated in kidney tissues may target genes involved in ccRCC tumourigenesis and disease biology. …”
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Real-Time Heterogeneous Collaborative Perception in Edge-Enabled Vehicular Environments by Samuel Thornton, Nithin Santhanam, Rajeev Chhajer, Sujit Dey

“…To address these challenges, we propose a Heterogeneous Adaptive Collaborative Perception (HAdCoP) framework which utilizes a Context-aware Latency Prediction Network (CaLPeN) to intelligently select which vehicles should transmit their sensor data, the specific individual and collaborative perception tasks, and the amount of computational offloading that should be utilized given information about the current state of the environment. …”
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Wireless sensor networks and structural health monitoring: Experiences with slab track infrastructures by Eduardo Cañete, Jaime Chen, Manuel Díaz, Luis Llopis, Bartolomé Rubio

“…On arrival at the station, the data are stored in a database, which is queried by an application to extract relevant information by means of analysis algorithms to detect and predict failures. The first real scenario tests the limits of the system under stress situations. …”
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Modes at Guangzhou Urban Rail Transit Stations by CAI Hanzhe, LIN Junyan, WANG Zhi, YE Xiafei

“…［Objective］ In order to accurately calculate the required scale of the connection facilities at Guangzhou urban rail transit stations, it is necessary to study and predict the sharing rate of passenger flow under each transportation connection mode at the stations. …”
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Serum chemokine IL-8 acts as a biomarker for identifying COVID-19-associated persistent severe acute kidney injury by Zhi He, Jing-jing Liu, Shao-lei Ma

“…IL-8 was more effective as a biomarker while predicting PS-AKI with an area under the curve of 0.769 (0.675-0.863). …”
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COMPRESSÃO INTRADISCAL EM L5/S1 NO EXERCÍCIO DE AGACHAMENTO by Rodrigo Gonçalves Coimbra, Líliam Fernandes de Oliveira

“…Foram medidos, nas fotos, os ângulos de flexão de tronco, joelho e tornozelo, utilizados como dados no aplicativo 2D STATIC STRENGTH PREDICTION PROGRAM Version 4.2 (Michigam University, USA), além de outras medidas antropométricas para estimativa da C.I. …”
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Modeling Soil Behavior with Machine Learning: Static and Cyclic Properties of High Plasticity Clays Treated with Lime and Fly Ash by Gebrail Bekdaş, Yaren Aydın, Sinan Melih Nigdeli, İnci Süt Ünver, Wook-Won Kim, Zong Woo Geem

“…The results showed that these ML techniques can predict the static and cyclic properties of extremely high plasticity clays with high performance (R² > 0.99). …”
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A Cross-Sectional Study to Assess Diabetes as a Risk Factor for Root Caries Amongst the Elderly Population in Udupi District, Karnataka State, India by Kush Kalra, Ramprasad Vasthare, Shivashankar K. N., Nishu Singla, Deepak Kumar Singhal, Ritesh Singla

“…An appropriate nomogram was designed for risk prediction. Results. Overall, the root caries prevalence was 37.3%, and the mean root caries index was 14.28%. …”
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A Novel Framework for Selecting Informative Meteorological Stations Using Monte Carlo Feature Selection (MCFS) Algorithm by Rizwan Niaz, Ibrahim M. Almanjahie, Zulfiqar Ali, Muhammad Faisal, Ijaz Hussain

“…The meteorological data play a significant role in drought monitoring; in this regard, accurate and suitable provision of meteorological stations is becoming crucial to improve and strengthen the skill of drought prediction. In this perspective, the choice of meteorological stations in a specific region has substantial importance for accurate estimation and continuous monitoring of drought hazards at the regional level. …”
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