Strengthening of Damaged Masonry Walls Using Engineered Cementitious Composites: Experimental and Numerical Analysis by S. M. Renuka, I. P. Mervin Sanjith

“…The suggested models were shown to be capable of predicting the common behaviour of masonry units.…”
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Transcranial Alternating Current and Random Noise Stimulation: Possible Mechanisms by Andrea Antal, Christoph S. Herrmann

“…As a result, fine-grained models of the human skull and brain allow the prediction of the exact pattern of current flow during tDCS and tACS. …”
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Machine Learning-Based Probabilistic Seismic Demand Model of Continuous Girder Bridges by Wenshan Li, Yong Huang, Zikai Xie

“…The results indicated that random forest (RF) is the most suitable model to predict the longitudinal and transverse curvature at the bottom of the four piers from the coefficients of determination. …”
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Influence of Hole Arrangement on the Section of Cavity Formed by Cutting Blast by Xianglong Li, Qiang Li, Jianguo Wang, Zichen Wang, Hao Wang, Zihao Tao

“…The difference in contour area, contour width, and contour and contour height between the measured value and the simulation result is 5.3%, 3.3%, and 3.4%, respectively, indicating that the combination of theoretical calculation and numerical simulation is suitable for prediction of cavity section after blast in tunnel excavation.…”
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Urban Traffic Accident Frequency Modeling: An Improved Spatial Matrix Construction Method by Jing Gan, Qing Su, Linheng Li, Yanni Ju, Linchao Li

“…This study introduces an innovative spatial correlation matrix, termed the road matrix, which incorporates shared road lengths between grids to enhance accident prediction accuracy. The model examines the relationship between traffic accidents and various predictor variables, including land use, road networks, and public transportation facilities. …”
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Quantitative analysis and resolution of pharmaceuticals in the environment using multivariate curve resolution-alternating least squares (MCR-ALS) by Mostafa Ahmed, Shaaban Heba

“…Both models showed comparable and satisfactory results with the relative error of prediction of real water samples in the range of 1.70–9.75 % and 1.64–9.43 % for MCR-ALS and PLSR, resp. …”
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In-situ EBSD observation of structure evolution in tensile deformation of NiCrMoV high-strength steel at room temperature by Guangyuan Yang, Xianglong Meng, Zhiyong Gao

“…The research on the deformation mechanisms of the NiCrMoV high-strength steel can help gain work hardening parameters applicable to this material, providing theoretical guidance for predicting the forming of parts with complex shapes.…”
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Machine learning-powered, high-affinity modification strategies for aptamers by Gubu Amu, Xin Yang, Hang Luo, Sifan Yu, Huarui Zhang, Yuan Tian, Yuanyuan Yu, Shijian Ding, Yufei Pan, Zefeng Chen, Yixin He, Yuan Ma, Baoting Zhang, Ge Zhang

“…After four rounds of interactive training (a total of 422 modified aptamer-target affinity datasets with diverse modification types and sites), an antifcial intelligence model with high predictive accuracy with a correlation coefficient of 0.82 between the predicted and actual binding affinities was obtained. …”
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Design Synthesis and Biological Evaluation of Novel N-Nitro Acid Amide Derivatives as Lead Compounds of Herbicide by Xiaojuan Qi, Wenjie Tang, Shan Gao, Min Gao, Changshui Chen, Qingye Zhang

“…Meanwhile, the possible reasons for the lower activity of compounds were analyzed by molecular docking prediction.…”
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Assessing the Impact of Cumulus Convection and Turbulence Parameterizations on Typhoon Precipitation Forecast by Yueya Wang, Haobo Li, Xiaoming Shi, Jimmy C. H. Fung

“…This study investigates the influence of cumulus parameterizations and turbulence models, including the Reconstruction and Nonlinear Anisotropy (RNA) turbulence scheme, on precipitation prediction in multiple typhoon cases. Incorporating the cumulus and RNA schemes increases domain‐averaged precipitation, improves recall scores, and lowers relative error across various precipitation thresholds, which is substantial in three out of four studied typhoon cases. …”
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Laboratory Investigation of Fiber Bragg Grating Strain Sensors for Semirigid Base Asphalt Pavements by Jiancun Fu, Aiqin Shen, Huaizhi Zhang, Tuanwei Sun

“…The SCs remained stable when the moduli of the embedded materials were high enough; otherwise, the SCs varied. Two SC prediction models that used the modulus of the embedded material as the only independent variable were developed to deal with the problem of instability. …”
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Atherogenic Index and High-Density Lipoprotein Cholesterol as Cardiovascular Risk Determinants in Rheumatoid Arthritis: The Impact of Therapy with Biologicals by Calin D. Popa, Elke Arts, Jaap Fransen, Piet L. C. M. van Riel

“…Atherogenic index has been suggested to be less susceptible to disease activity variation during large periods of time, making him more attractive to be used in CV risk prediction in this group of patients as compared to individual lipids concentrations. …”
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Stress-sensitive neurosignalling in depression: an integrated network biology approach to candidate gene selection for genetic association analysis by J. Anke M. van Eekelen, Justine A. Ellis, Craig A. Olsson, Craig E. Pennell, Jeff Craig, Richard Saffery, Eugen Mattes

“…We conclude that knowledge of the neurobiology of the stress response system is likely to play a central role in future efforts to improve genetic prediction of depression and related disorders.…”
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Exploring a Design of Landslide Monitoring System by Rahat Khan, Suhail Yousaf, Abdul Haseeb, Muhammad Irfan Uddin

“…Through extensive simulations, the performance of various landslide prediction and detection models has been evaluated. …”
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Characteristics of Low Reynolds Number Shear-Free Turbulence at an Impermeable Base by W. H. M. Wan Mohtar, A. ElShafie

“…At low Rel<117, however, the turbulence profile deviated from the prediction where no amplification of horizontal velocity components was observed and the vertical velocity components were seen to be constant towards the tank base. …”
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Fast HEVC Intramode Decision Based on Hybrid Cost Ranking by Hao Liu, Yuexin Jie

“…The proposed scheme utilizes the coded results of the modified rough mode decision and the neighboring prediction units so as to obtain a potential candidate subset and then conditionally selects the optimal mode through early likelihood decision and hybrid cost ranking. …”
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Gender Classification With Hand-Wrist Radiographs Using the Deep Learning Method by İbrahim Yücel Özbek, Mustafa Taha Güller, Zeynep Turanli Tosun, Nida Kumbasar, Özkan Miloğlu

“…In the gender classification problem, AlexNet, VGG16 and VGG19 transfer learning methods were both used as separate classifiers, and the features taken from these methods were combined and given to the support vector machine (SVM) classifier.Results: The results revealed that image analysis and deep learning techniques provided 91.1% accuracy in gender determination.Conclusion: Hand-wrist radiographs exhibited sexual dimorphism and could be used in gender prediction.Keywords: Deep learning; İmage analysis; Hand-wrist radiographs; Gender determination…”
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A Hybrid Process Monitoring and Fault Diagnosis Approach for Chemical Plants by Lijie Guo, Jianxin Kang

“…Meanwhile, the fault features of the monitoring variables are extracted, so then process monitoring can be performed with the squared prediction error (SPE) statistics of KPCA. Then, multiple WNN models are designed through the use of low-dimensional sample data preprocessed by KPCA as the training and test samples to detect the fault mode online. …”
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Transient Analysis and Safety Assessment of Turbofan Engine Structures during Bird Ingestion by Gang Luo, Chi Ma, Wei Chen, Lulu Liu, Zhenhua Zhao

“…We draw a conclusion that the relevant analysis/simulation data could be submitted to engine certification administration as key documents, the structural safety analysis and assessment method of turbofan engine due to bird ingestion could be applied as analysis and prediction work in the engine bird ingestion certification.…”
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A fatigue-reliability approach using ultrasonic non-destructive inspection by Chouikh, Iheb, Bouraoui, Chokri

“…This paper provides a method for fatigue life prediction based on ultrasonic non-destructive inspection applied on Al 2024 T3 material.A new crack quantification model based on ultrasonic waves features is developed. …”
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