Predictive Modeling the Turbidity Response in Al-Saray Water Distribution Network in Najaf Governorate/Middle of Iraq, Using PODDS Model by Abed Zahraa H., Jasem Hayder M., Mohammed Hayder S.

“…Reducing water turbidity is one of the main issues the water industry is currently experiencing. The ability to predict the spatial probability and intensity of discoloration events in distribution systems can lead to the adoption and improvement of proactive operation and maintenance strategies to reduce turbidity. …”
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hERGAT: predicting hERG blockers using graph attention mechanism through atom- and molecule-level interaction analyses by Dohyeon Lee, Sunyong Yoo

“…Many in silico models have been developed to predict hERG blockers, which can efficiently save time and resources. …”
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Influence and prediction mechanisms for discomfort and memory disturbance due to structure borne sound from a metro masked with fountain sound by Wang Qiaochu, Hongwei Wang, Cai Yangsheng, Zhang Yang, Yang Chenxi

“…Moreover, the subjective loudness emerged as the most effective predictor of the discomfort. While predicting the memory disturbance predominantly depended on the sound levels, and among the prediction models based on the sound levels, the predictive effectiveness of the energy summation model was comparable to that of the independent effects model. …”
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Predicting the Most Deleterious Missense Nonsynonymous Single-Nucleotide Polymorphisms of Hennekam Syndrome-Causing CCBE1 Gene, In Silico Analysis by Khyber Shinwari, Liu Guojun, Svetlana S. Deryabina, Mikhail A. Bolkov, Irina A. Tuzankina, Valery A. Chereshnev

“…The importance of rs374941368 and rs200149541 in the prediction of post-translation changes was highlighted because it impacts a possible phosphorylation site. …”
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The Significance of a Cerebrovascular Accident Outcome Prediction Model for Patients, Family Members, and Health Care Professionals: Qualitative Evaluation Study by Corinne G Allaart, Sanne van Houwelingen, Pieter HE Hilkens, Aart van Halteren, Douwe H Biesma, Lea Dijksman, Paul B van der Nat

“…Good reliability and relevance of the prediction model will be essential for its wide adoption.…”
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Prediction and Classification of Financial Criteria of Management Control System in Manufactories Using Deep Interaction Neural Network (DINN) and Machine Learning by Amir Yousefpour, Hamid Mazidabadi Farahani

“…In this study, we presented a novel method named deep interaction neural network to predict the performance of the manufacturing companies based on their leading competitors using features cost leadership and differentiation strategies. …”
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Cochlear Implantation: Predicting Round Window Niche Visibility Using One Measurement in High-Resolution Temporal Bone Computed Tomography by Laila Telmesani, Mona Al-Ramah, Yassin Abdelsamad, Lena Telmesani

“…BACKGROUND: To evaluate the accuracy of a single measurement in temporal bone computed tomography in predicting the round window niche (RWN) visibility during cochlear implantation. …”
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Optimizing Cutting Conditions and Prediction of Surface Roughness in Face Milling of AZ61 Using Regression Analysis and Artificial Neural Network by Nabeel H. Alharthi, Sedat Bingol, Adel T. Abbas, Adham E. Ragab, Ehab A. El-Danaf, Hamad F. Alharbi

“…In this paper artificial neural network (ANN) and regression analysis were used for the prediction of surface roughness. Five models of neural network were developed and the model that showed best fit with experimental results was with 6 neurons in the hidden layer. …”
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NOx, Soot, and Fuel Consumption Predictions under Transient Operating Cycle for Common Rail High Power Density Diesel Engines by N. H. Walke, M. R. Nandgaonkar, N. V. Marathe

“…It can be concluded that 0D models can be used for prediction of transient emissions on modern engines. …”
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A Novel Finite-Control-Set Model Predictive Torque Control for Five-Phase PMSM With Improved Harmonic Current Suppression by Weiguo Tao, Huawei Zhou, Chen Ye, Cheng Chen

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Prediction of Emotional Divorce based on Family Communication Patterns with the Mediating Role of Marital Burnout in Married Female Teachers of Darab City by Zakiye Faraji, Zahra Ghavaminia, Jalal Kalantari

“…Objective: This study aimed to predict emotional divorce among married female teachers in Darab City by analyzing family communication patterns and examining the mediation effect of marital burnout.Methods: Descriptive and correlational analyses were used. …”
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Thickness of Subcutaneous Fat Is a Predictive Factor of Incisional Surgical Site Infection in Crohn’s Disease Surgery: A Retrospective Study by Xingchen Cai, Weisong Shen, Zhen Guo, Yi Li, Lei Cao, Jianfeng Gong, Weiming Zhu

“…Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of factors. Results. The patient cohort comprised 246 patients (167 male (67.9%); mean age 35.7 ± 12.4 years; mean disease duration 69.6 ± 60.8 months). …”
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A DOE (Response Surface Methodology) Approach to Predict the Strength Properties of Concrete Incorporated with Jute and Bamboo Fibres and Silica Fumes by Jayaprakash Sridhar, Dhanapal Jegatheeswaran, Ravindran Gobinath

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Application of Machine Learning to Predict Trajectory of the Center of Pressure (COP) Path of Postural Sway Using a Triaxial Inertial Sensor by Kittichai Wantanajittikul, Chakrit Wiboonsuntharangkoon, Busaba Chuatrakoon, Siriphan Kongsawasdi

“…Then, ML was applied to predict the COP path by using sensor-sway metrics as the input. …”
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Enhancing safety in surface mine blasting operations with IoT based ground vibration monitoring and prediction system integrated with machine learning by Mangalpady Aruna, Harsha Vardhan, Abhishek Kumar Tripathi, Satyajeet Parida, N. V. Raja Sekhar Reddy, Krishna Moorthy Sivalingam, Li Yingqiu, P. V. Elumalai

“…Abstract Monitoring and predicting ground vibration levels during blasting operations is essential to safeguard mining sites and surrounding communities. …”
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18F-FDG PET/CT assessment of metabolic tumor burden predicts survival in patients with metastatic posterior uveal melanoma by Tine Gadegaard Hindso, Torben Martinussen, Camilla Wium Bjerrum, Sune Høgild Keller, Annika Loft, Mette Bagger Sjøl, Kristoffer Nissen, Carsten Faber, Marco Donia, Inge Marie Svane, Eva Ellebaek, Steffen Heegaard, Jens Folke Kiilgaard, Karine Madsen

“…In conclusion, MTV and TLG were found to be better predictors of survival in metastatic PUM than the AJCC staging system, but when LDLM was used as a continuous variable it showed an equally good prediction of 1-year survival.…”
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A Review on the Potency of Melaleuca leucadendron Leaves Solid Waste in Wood Preservation and Its In Silico Prediction upon Biological Activities by Christine Patramurti, Radjali Amin, Christofori M. R. R. Nastiti, Maywan Hariono

“…In this review, we elaborate on the cajuput leaves starting from the plant description and leaf morphology, chemical composition, biological activities, wood decomposing organism, and an in silico prediction upon its molecular mechanism. Based on the in silico prediction, compounds such as guaiol, lupene, and 1, 8-cineole have the potential to be antifungal and insecticide that associates with the cajuput potency as a wood preservative agent.…”
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Understanding Electric Bikers’ Red-Light Running Behavior: Predictive Utility of Theory of Planned Behavior vs Prototype Willingness Model by Tianpei Tang, Hua Wang, Xizhao Zhou, Hao Gong

“…In this paper, we aim to understand e-bikers’ RLR behavior based on structural equation modeling. Specifically, the predictive utility of the theory of planned behavior (TPB), prototype willingness model (PWM), and their combined form, TPB-PWM model, is used to analyze e-bikers’ RLR behavior, and a comparison analysis is made. …”
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Predicting the clinical subcutaneous absorption rate constant of monoclonal antibodies using only the primary sequence: a machine learning approach by Ronghua Bei, Justin Thomas, Shiven Kapur, Mahlet Woldeyes, Adam Rauk, Jason Robarge, Jiangyan Feng, Kaoutar Abbou Oucherif

“…In this study, we built a model to predict the absorption rate constant (ka), which denotes how fast a mAb is absorbed from the site of administration. …”
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Habitat radiomics based on CT images to predict survival and immune status in hepatocellular carcinoma, a multi-cohort validation study by Kun Chen, Chunxiao Sui, Ziyang Wang, Zifan Liu, Lisha Qi, Xiaofeng Li

“…The study aimed to establish and validate the predictive power of multiple habitat radiomic models in predicting prognosis of hepatocellular carcinoma (HCC). …”
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