Numerical Simulation of Fluctuating Wind Effects on an Offshore Deck Structure by Jin Ma, Dai Zhou, Zhaolong Han, Kai Zhang, Jennifer Nguyen, Jiabao Lu, Yan Bao

“…This study conducts an investigation to analyze the wind-induced structural response of a typical offshore deck structure. An accurate and efficient mixture simulation method is developed to simulate the fluctuating wind speed, which is then introduced as the boundary condition into numerical wind tunnel tests. …”
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On the Quest for Oxygen Evolution Reaction Catalysts Based on Layered Double Hydroxides: An Electrochemical and Chemometric Combined Approach by Isacco Gualandi, Elisa Musella, Giulia Costa, Massimo Gazzano, Erika Scavetta, Sergio Zappoli, Domenica Tonelli

“…The deposited films are characterized using cyclic voltammetry and X‐ray diffraction to determine peak currents and potentials, and crystal size. …”
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Development and validation of a nomogram model for sleep disorders in patients with recurrent implantation failure based on physiological and lifestyle factors by You Zhang, Ningxin Qin, Jing Hu, Jie Bai, Mengjia Pan, Yan Xu, Xin Huang, Ke Wang, Ke Wang

“…Lasso regression was used to screen potential predictive variables and multifactor logistic regression analysis was conducted to determine the final predictors. A nomogram model was established, and the model was evaluated using methods such as plotting receiver operating characteristic (ROC) curves, calibration curves, Hosmer-Lemeshow goodness of fit test, and decision curve analysis.ResultsThrough Lasso regression and multifactor logistic regression, 7 predictors were identified, including FSH, E2, depression mood (moderate, severe), daily exercise time, sun exposure, caffeine intake, and shift work (>16h/w) for constructing the nomogram model. …”
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Multi-Model Segmentation Algorithm for Rotator Cuff Injury Based on MRI Images by Mengqi Li, Jingchao Fang, Haonan Hou, Li Yuan, Jin Guo, Zhenlong Liu

“…This paper proposes an AI-based diagnostic method using MRI images for rotator cuff injuries to assist in treatment by segmenting tear areas and assessing tear severity. …”
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Speciation Analysis and Related Models of Heavy Metals in Contaminated Soil by Zehao LIU, Chunyun JIA, Fengcui FAN, Shujuan DAI, Xiaojun LI

“…Conventional methods for the determination of heavy metal ions in soil generally include atomic fluorescence spectrometry, atomic absorption spectrometry, inductively coupled plasma emission spectrometry, etc.. …”
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Quasi periodic photonic crystal as gamma detector using Poly nanocomposite and porous silicon by Fatma A. Sayed, May Bin-Jumah, Arafa H. Aly, V. D. Zhaketov, Mohammed Sallah, Zaky A. Zaky

“…These calculations were performed using the transfer matrix method over a wavelength range of 500–800 nm. Each structure’s sensitivity and quality factor were evaluated in two radiation ranges—0–100 Gy and 100–200 Gy—to determine their potential as gamma dosimeters. …”
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Whole genome uniparental isodisomy detected using single nucleotide polymorphism (SNP) microarray in molar pregnancy: a case report by Onyinye O. Okonkwo, Veronica Ortega, Sheila Kane, Galina Aldrete, Paulina Ramirez, Philip T. Valente, Gopalrao V.N. Velagaleti

“…High-resolution SNP microarray testing is an efficient method used to determine the parental contribution of the genomic material in molar pregnancies and confirm the diagnosis. …”
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Experimental measurement of the size distribution of microbubbles prepared by reciprocating syringe technique by Zhengbin Pan, Yiting Xiao, Yijian He, Bo Kong, Yiyi Liang

“…The volume of gas and size of the bubbles determine the consequences of air entering the bloodstream. …”
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MATLAB Application for User-Friendly Design of Fully Convolutional Data Description Models for Defect Detection of Industrial Products and Its Concurrent Visualization by Fusaomi Nagata, Shingo Sakata, Keigo Watanabe, Maki K. Habib, Ahmad Shahrizan Abdul Ghani

“…In particular, a systematic threshold determination method is proposed to obtain the best performance for defect detection from FCDD models. …”
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Complete auricular avulsion and reconstruction techniques: a literature review by Manar A. Awad, Mahmoud A. Deshisha, Yasmin Z. Salam, Hadir M. Abou Mostafa, Mohamed G. Ibrahim, Ihab M. Nada

“…It also aimed to help the surgeon choose the best total reconstruction method considering the available materials and to assess the advantages and disadvantages of each technique. …”
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Linking Electrocardiogram and Echocardiogram: Comparing Classical Machine Learning and Deep Learning Neural Networks for the Detection of Regional Wall Motion Abnormalities by Shantanu M. Joshi, Hana R. Shaik, Shivam Rai Sharma, Philip Strong, Uma Srivatsa, Imo Ebong, Hyoyoung Jeong, Chen-Nee Chuah, Lihong Mo

“…Future studies are needed to determine the optimal CNN architecture that balances the target classifier performance and computational efficiency for ease of deployment with larger datasets.…”
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Research on the effect of selective adsorption of CO2 by C@Fe3O4 for H2 purification by Longlong Lei, Hang Yuan, Hongguang Zhu, Jie Ma, Fanghui Pan, Fulu Lu

“…Although various technological pathways have been proposed in this research field, issues such as low separation efficiency, high energy consumption, and high costs are prevalent to varying degrees across these different methods. …”
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Designing a sustainable-resilient humanitarian supply chain for post-disaster relief process, an earthquake case study in Haiti by Hossein Shakibaei, Seyyed Amirmohammad Moosavi, Amir Aghsami, Masoud Rabbani

“…Originality/value – Ultimately, the model provides the optimal quantities of each product to be shipped and determines the appropriate mode of transportation. Additionally, the application of the epsilon constraint method results in a set of Pareto optimal solutions. …”
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Machine Learning-Based Mooring Failure Detection for FPSOs: A Two-Step ANN Approach by Omar Jebari, Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, Moohyun Kim

“…These findings demonstrate the potential of machine learning for near-real-time mooring integrity monitoring, offering a practical and efficient alternative to traditional inspection methods.…”
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Machine Learning Techniques for Uncertainty Estimation in Dynamic Aperture Prediction by Carlo Emilio Montanari, Robert B. Appleby, Davide Di Croce, Massimo Giovannozzi, Tatiana Pieloni, Stefano Redaelli, Frederik F. Van der Veken

“…We evaluated these approaches to determine the most effective method for reliable uncertainty estimation in dynamic aperture predictions using machine learning techniques.…”
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Predicting the uplift capacity of circular anchors in frictional-cohesive soils using Kolmogorov-Arnold networks by Tran Vu-Hoang, Tan Nguyen, Jim Shiau, Hung-Thinh Pham-Tran, Trung Nguyen-Thoi

“…Additionally, a closed-form solution for stability factors is derived through KAN, providing an efficient method for predicting bearing capacity. The optimized models exhibit high coefficient of determination (R²) values and low root mean square errors (RMSE) for training and testing datasets. …”
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Hybrid Vehicle Battery Health State Estimation Based on Intelligent Regenerative Braking Control by Chellappan Kavitha, Gupta Gautam, Ravi Sudeep, Chidambaram Kannan, Bragadeshwaran Ashok

“…In this study, a fuzzy logic estimation method is deployed to determine the tire road friction coefficient (TRFC) and various control strategies are adopted to establish regenerative cut-off points. …”
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BACTERIAL PATTERNS AND URINE CULTURE SENSITIVITY DESCRIPTION OF UROLOGY PATIENTS IN THE PAEDIATRIC POPULATION AT TERTIARY HOSPITAL by Veryne Ayu Permata, Johan Renaldo, Naritha Vermasari

“…Material & Methods: Medical record data and the microbiology laboratory database were studied retrospectively using a descriptive method. …”
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Advancing Electrochemical Energy Storage: A Review of Electrospinning Factors and Their Impact by Muhammad Kashif, Sadia Rasul, Mohamedazeem M. Mohideen, Yong Liu

“…The imperative for sustainable energy has driven the demand for efficient energy storage systems that can harness renewable resources and store surplus energy for off-peak usage. …”
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Evaluation and Optimization of Prediction Models for Crop Yield in Plant Factory by Yaoqi Peng, Yudong Zheng, Zengwei Zheng, Yong He

“…This study focuses on enhancing crop yield prediction in plant factory environments through precise crop canopy image capture and background interference removal. This method achieves highly accurate recognition of the crop canopy projection area (CCPA), with a coefficient of determination (R²) of 0.98. …”
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