Enhancing Orthopedic Surgery and Treatment Using Artificial Intelligence and Its Application in Health and Dietary Welfare by D. Rubidha Devi, S. K. UmaMaheswaran, Sandhya Tarar, Abu Sarwar Zamani, Durgaprasad Gangodkar, A. Prabhu Chakkaravarthy, IssahAbubakari Samori

“…The ML approach also supports in providing prediction methods of implementing the ortho surgical outcomes. …”
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A CNN-LSTM-Based Model to Forecast Stock Prices by Wenjie Lu, Jiazheng Li, Yifan Li, Aijun Sun, Jingyang Wang

“…And then, we adopt LSTM to predict the stock price with the extracted feature data. …”
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Long short‐term memory‐based forecasting of uncertain parameters in an islanded hybrid microgrid and its energy management using improved grey wolf optimization algorithm by Raji Krishna, Hemamalini S

“…The LSTM outperforms the artificial neural network (ANN) model in terms of mean square error (MSE) and prediction accuracy (R2) for both training and testing datasets. …”
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Experimental Investigation on the Load-Carrying Capacity of Steel-to-Laminated Bamboo Dowel Connection I: Single Fastener with Slotted-In Steel Plate under Tension by Zhaoyan Cui, Liuhui Tu, Ming Xu, Zhongfan Chen, Qingfeng Xu

“…It presents a better prediction for the load-carrying capacity of steel-to-laminated bamboo dowel connections with slotted-in steel plate.…”
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Urinary bacteriophage cooperation with bacterial pathogens during human urinary tract infections supports lysogenic phage therapy by Mahmood Almosuli, Anna Kirtava, Archil Chkhotua, Lia Tsveniashvili, Nina Chanishvili, Sumaiya Safia Irfan, Emily Ng, Hope McIntyre, Adam J. Hockenberry, Robyn P. Araujo, Weidong Zhou, Ngoc Vuong, Barbara Birkaya, Lance Liotta, Alessandra Luchini

“…Using human urine, model organisms, mass spectrometry, gene expression analysis, and the phage phenotype prediction model BACPHLIP, the results corroborated our hypotheses at the functional protein and gene levels. …”
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Height of Mining-Induced Fractured Zones in Overlying Strata and Permeability of Rock with Nonpenetrative Fractures by Yu Liu, Qimeng Liu, Wenping Li, Youbiao Hu

“…The results of the study are helpful to the prediction of the potential loss of phreatic water and the determination of the mining thickness.…”
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Simulation of the Lower Head Boiling Water Reactor Vessel in a Severe Accident by Alejandro Nuñez-Carrera, Raúl Camargo-Camargo, Gilberto Espinosa-Paredes, Adrián López-García

“…Then, it is important to have a detailed model in order to predict the behavior of the reactor vessel lower head in a severe accident. …”
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Data-Driven Approach to Evaluate the Level of Service (LOS) of Demand-Responsive Transport for the Disabled (DRTD) with an ANFIS Algorithm by Seohyeon Park, Sooyeon Park, Hosik Choi, Do-Gyeong Kim

“…This study developed a model for predicting the waiting time of Demand-Responsive Transport for Disabled (DRTD) with irregular spatiotemporal characteristics in real time. …”
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Sentiment analysis of movie reviews: A flask application using CNN with RoBERTa embeddings by Biplov Paneru, Bipul Thapa, Bishwash Paneru

“…Additionally, we develop a Flask-based application, demonstrating the practical applicability of our R-CNN model for real-time sentiment prediction.…”
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A Perspective Review on Numerical Simulations of Hemodynamics in Aortic Dissection by Wan Naimah Wan Ab Naim, Poo Balan Ganesan, Zhonghua Sun, Kok Han Chee, Shahrul Amry Hashim, Einly Lim

“…Due to the limitations of cardiac imaging modalities, numerical simulations have been widely used for the prediction of disease progression and therapeutic outcomes, by providing detailed insights into the hemodynamics. …”
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Heterosis: current advances in the search for molecular mechanisms by M. N. Shapturenko, L. V. Khotyleva

“…With the advent of molecular markers great efforts were made to identify genomic regions causing heterotic response and clarify prospects of using information about molecular divergence of parental forms as a criterion for the prediction of F1 performance. Despite some achievements, the effec-tiveness of both molecular divergence and prospective heterotic QTL for practical goals was limited, confirming that genetic heterogeneity is necessary, but not sufficient to produce perfect phenotype. …”
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Comprehensive Study of E-Bike Braking Dynamics: Modeling, Simulation, and Experimental Validation by Mutasim Salman, Shivam Chaturvedi, Wencong Su

“…This model will be used for detection and isolation of braking system components faults as well as prediction of their failure. The model includes bike and passive rider dynamics, wheel dynamics, the mechanical brake linkages and the tire-road friction interaction including tire slip. …”
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Modeling PM2.5 Urban Pollution Using Machine Learning and Selected Meteorological Parameters by Jan Kleine Deters, Rasa Zalakeviciute, Mario Gonzalez, Yves Rybarczyk

“…The study demonstrates that the use of statistical models based on machine learning is relevant to predict PM2.5 concentrations from meteorological data.…”
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Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach by M. Benalla, B. Achchab, H. Hrimech

“…A case study including various scenarios of experiments is introduced to estimate behavioral information based on synthetic data for prediction, prescription, and policy analysis. Our experiments show promising, thought-provoking results encouraging further research.…”
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Migration Simulation of Radioactive Soil Particles in the Atmospheric Environment Using CFD-DEM Coupled with Empirical Formulas by Liwei Chen, Chunhua Chen, Qingchun Fan, Zihui Yang, Zihao Zheng, Jianye Wang

“…Radioactive particle migration from the soil surface is an unignorable factor for the radioactive material distribution prediction after a nuclear accident, especially for the decision support of radioactive disposal. …”
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Spatial Dynamics and Risk Mapping of Forest Fires in Madhesh Province, Nepal: A Multi-Criteria Decision Approach by Gunjan Adhikari, Khagendra Prasad Joshi, Dristee Chad, Ashish Ghimire, Sandeep Mahara

“…The validity of the prediction map was confirmed with an AUC value of 0.798. …”
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Analytical evaluation of shear link capacity in EBF: Beam-truss action analogy by Abdullah Alghossoon, Suhib Almarashdeh, Muhannad Alasiri, Ahmad Tarawneh

“…This study introduces a simple analogical method to predict the ultimate shear-link strength of the eccentrically braced steel frame (EBF) system. …”
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Dynamic Modeling of Stress-Induced Defect Expansion in VCSELs by Yuqi Zhang, Xun Li, Jia Zhao

“…This model finds relevance in applications such as random failure prediction through device aging, burn-in condition setting in device screening, and device structural and/or material design improvement for mitigating defect expansion.…”
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Fusion ConvLSTM-Net: Using Spatiotemporal Features to Increase Residential Load Forecast Horizon by Abhishu Oza, Dhaval K. Patel, Bryan J. Ranger

“…Our extensive experiments demonstrate that the Fusion ConvLSTM-Net not only extends the forecast window to 24 hours but also reduces the prediction error rate by approximately 47% compared to the next best model, improves the accuracy of aggregate load forecasts, and prevents model degradation.…”
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Improved Extended Multiplicative Scatter Correction Algorithm Applied in Blood Glucose Noninvasive Measurement with FT-IR Spectroscopy by Qingbo Li, Qishuo Gao, Guangjun Zhang

“…Experimental results show that the prediction accuracy has been greatly improved with Im-EMSC method, which is helpful for human noninvasive glucose concentration detection technology.…”
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