The ABC Bicuspid Sizing Protocol for SAPIEN 3 Balloon-Expandable Valves by Tej Sheth, MD, Umar Ismail, MD, Jorge Chavarria, MD, Warkaa Al Shamkani, MD, Ahmed Makhdoum, MD, MSc, Kandace Forsyth, MSc, Iqbal Jaffer, MD, PhD, James Velianou, MD, Madhu Natarajan, MD, MSc

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The association between cystatin C and hypertension risk in diabetes patients: A multi-cohort cross-sectional study by Ye Kuang, Jia Wang, Yang Wang, Chuanmei Peng, Pei He, Yong Ji, Jinrong Tian, Yong Yuan, Lei Feng

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Providing pharmaceutical consultation to visitors of pharmacy organizations in routine pharmaceutical practice by M. S. Soboleva

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Passenger Flow Prediction of Integrated Passenger Terminal Based on K-Means–GRNN by Yifan Tan, Haixu Liu, Yun Pu, Xuemei Wu, Yubo Jiao

“…Finally, the passenger flow of Chengdu East Railway Station has been taken as an example, which is divided into 16 models, and each type of passenger flow is predicted, respectively. …”
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Airspace restrictions due to conflicts increased global aviation’s carbon dioxide emissions in 2023 by Grégoire Dannet, Nicolas Bellouin, Olivier Boucher

“…Our analysis reveals an initial reduction of flights to and from East Asia that would have crossed the Russian territory. …”
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Technology acceptance model for online education: identifying interdisciplinary topics and their evolution based on BERTopic model by Songyu Jiang, Hao Li, Du Gan

“…Collaborative network analysis highlights regional clustering, particularly among East Asian and Western institutions, with limited cross-cluster exchange. …”
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A Case Study on Monolith to Microservices Decomposition with Variational Autoencoder-Based Graph Neural Network by Rokin Maharjan, Korn Sooksatra, Tomas Cerny, Yudeep Rajbhandari, Sakshi Shrestha

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Nonlinear forced vibration analysis of FG-CNTRC plates based on the 3D elasticity by Y. Gholami, R. Ansari, H. Rouhi

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User Evaluation of a Machine Learning-Based Student Performance Prediction Platform by Hoti Arbër H., Zenuni Xhemal, Hamiti Mentor, Ajdari Jaumin

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Improving Sleep Disorder Diagnosis Through Optimized Machine Learning Approaches by Md. Atiqur Rahman, Israt Jahan, Maheen Islam, Taskeed Jabid, Md Sawkat Ali, Mohammad Rifat Ahmmad Rashid, Mohammad Manzurul Islam, Md. Hasanul Ferdaus, Md Mostofa Kamal Rasel, Mahmuda Rawnak Jahan, Shayla Sharmin, Tanzina Afroz Rimi, Atia Sanjida Talukder, Md. Mafiul Hasan Matin, M. Ameer Ali

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Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…The micro-scale backup machine vector algorithm and the high volume resolution soil moisture dispersion map were estimated between 0.18 and 0.46 b. …”
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Swedish regional population-based organised prostate cancer testing: why, what and how? by Ola Bratt, Salma Tunå Butt, Charlotte Carlsson, Lisa Jelf-Eneqvist, Olof Gunnarsson, Alma Ihre, Thomas Jiborn, Anna Lantz, Heide Larsson, Helena Strömqvist, Johan Styrke, Nils-Erik Svedberg, Rebecka Arnsrud Godtman

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South China Sea SST Fronts, 2015–2022 by Igor M. Belkin, Yi-Tao Zang

“…The SST data from 2015 to 2022 were processed with the Belkin–O’Reilly algorithm to generate maps of SST gradient magnitude GM. …”
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A derecho climatology (2004–2021) in the United States based on machine learning identification of bow echoes by J. Li, A. Geiss, Z. Feng, L. R. Leung, Y. Qian, W. Cui, W. Cui

“…The approach is grounded in a physically based definition of derechos and integrates three algorithms: (1) the Python Flexible Object Tracker (PyFLEXTRKR) algorithm to track mesoscale convective systems (MCSs), (2) a semantic segmentation convolutional neural network to identify bow echoes, and (3) a comprehensive classification algorithm to detect derechos within MCS life cycles and distinguish derecho-producing from non-derecho-producing MCSs. …”
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High-Resolution, Low-Latency Multi-Satellite Precipitation Merging by Correcting with Weather Radar Network Data by Seungwoo Baek, Soorok Ryu, Choeng-Lyong Lee, Francisco J. Tapiador, Gyuwon Lee

“…The algorithm involves four steps: pre-data preparation, LEO morphing, adjustment, and final merging. …”
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Deformation-Related Data Mining and Movement Patterns of the Huangtupo Landslide in the Three Gorges Reservoir Area of China by Zhexian Liao, Jinge Wang, Gang Chen, Yizhe Li

“…These datasets were classified using the K-means clustering algorithm, while the FP-Growth algorithm was employed to uncover correlations between landslide deformation and hydrological factors. …”
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Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

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Study on cooperative reactive voltage sensitivity control strategy of AVC substations in clustered offshore wind farm by XU Xian, ZHU Dandan, XU Xiaochun, WANG Dong, DAI Xin, WANG Yurong, YIN Xintong

“…In recent years, more and more East coastal areas in China have formed large-scale renewable power generation clusters, compared with the form of long-distance radial-wiring integration to the power grid, offshore wind farms usually connect with each other near their landing point and then access to the main grid alongside. …”
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Analysis of traffic patterns between Karkh and Rusafa by Mahdi Lateef Ishraq, Hussein Abed Alaa, Moutaz Asmael Noor

“…Recently, users of the road network in Baghdad have faced difficulty in mobility between Karkh and Rusafa due to the congestion of bridges connecting the east of the city to the west across the Tigris River during peak hours. …”
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Predicting financial failure under traditional models and financial safety indicators (Proposed model) - analytical research for a sample of Banks listed on Iraqi stock exchange by Dr. Hayder Adnan Ghanawi

“…Giving weights based on the outputs of the genetic algorithm for the period from 2017-2022 for the Middle East Bank as a successful bank and for the Dar es Salaam Bank for the period 2012-2014 as a failed bank, and after testing the proposed model and comparing its results with the models of Altman, Sheerod, Kida, the research reached agreement on the results for the proposed model with typical Altman, sheerod. …”
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