The Role of Artificial Intelligence in Medical Imaging: From Diagnosis to Ethical Frontiers by Nouf Abuhadi

“…Furthermore, AI aids in assessing the progression of diseases, evaluating therapy responses, and predicting patient outcomes. …”
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Effects of appearance modifications on oral presentation anxiety in video conferencing by Ziting Gong, Hideaki Kanai

“…By shedding light on the role of audience appearance in video conference anxiety, this study offers valuable insights and practical strategies for designing customized computer-mediated communication environments that enhance speaker comfort and confidence.…”
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Comparative assessment of cutting processes in the mechanical behavior of basalt fiber/poly(lactic acid) matrix composites by Varikkadinmel Binaz, Kaushik Deepak, Inderdeep Singh

“…The present investigation aims to determine the best cutting process to create samples from BFPLA, as well as to experimentally evaluate the effect of different cutting processes (scroll sawing, computer numerical control (CNC) milling, water jet cutting, and abrasive water jet cutting (AWJ)) on the tensile and flexural properties of samples. …”
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Applying a Hybrid Gray Wolf-Enhanced Whale Optimization Algorithm to the Capacitated Vehicle Routing Problem by Vu Hong Son Pham, Van Nam Nguyen, Nghiep Trinh Nguyen Dang

“…By integrating the enhanced whale optimization algorithm (EWOA) and gray wolf optimizer (GWO) with tournament selection, opposition-based learning, and mutation techniques, hGWOAM enhances routing efficiency under capacity constraints. Computational evaluations demonstrate its superior performance, achieving lower percentage deviations (%dev) compared to existing algorithms across multiple case studies and real-world applications. …”
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In silico validation of microalgal metabolites against Diabetes mellitus by Gurudeeban Selvaraj, Satyavani Kaliamurthi, Zeynep Elibol Çakmak, Turgay Çakmak

“…Present study aimed to evaluate the efficiency of microalgal metabolites as ligands for anti-diabetic target proteins viz., glucokinase, fructose-1, 6-bisphosphatase, glycogen synthase kinase, cytochrome P450, multi drug resistant protein, and peroxisome proliferator-activated receptor-γ(PPARγ) via computational approach. …”
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An End-to-end Quality Assurance Procedure for Ethos Online Adaptive Radiotherapy by S. A. Yoganathan, Amine Khemissi, Satheesh Paloor, Rabih Hammoud, Noora Al-Hammadi

“…Materials and Methods: Initial treatment plans were developed using deformed computed tomography (CT) images of standard phantoms. …”
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Dynamic identification method for flow patterns of liquid-solid two-phase flow in horizontal pipelines by ZHUJUNLIANG Junliang, ZHAOZHIFENG, WANGSHUGANG, JIANG Shuang

“…And it is not limited to specific scenarios, without the need to provide inherent logic of data, and can simultaneously obtain modes with a single frequency and growth rate and construct reduced order dynamic models, saving computational resources.…”
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A semi-empirical relation based on temperature difference and filling ratio in a closed loop pulsating heat pipe: A numerical study. by Vasanth Balamurugan, Shahid Mian P, Md Jahid Hasan, Natteri M Sudharsan

“…From the computed results, a regression analysis is performed to generate a semi-empirical equation. …”
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Prioritized access control enabling weighted, fine-grained protection in cyber-physical systems by Eun-Kyu Lee, Jae-Han Lim, Jibum Kim

“…Throughout real-world experiments, we evaluate the performance of computation cost and illustrate automated, prioritized smart building controls.…”
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Prevalence and correlates of metabolic syndrome in patients with initial-treatment and drug-naïve bipolar disorder: A large sample cross-sectional study. by Yilin Fang, Bingchuan Yan, Zhihua Liu, Lin Zhang

“…Additionally, we utilized a transformation approach for continuous variable analysis to compute a MetS score.We found a MetS prevalence of 17.84% among the study participants. …”
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Comparative Analysis of Voting and Stacking Ensemble Learning for Heart Disease Prediction: A Machine Learning Approach by Gregorius Airlangga

“…The findings suggest that ensemble methods provide an effective, interpretable, and computationally efficient alternative to deep learning for heart disease prediction. …”
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Optimization of Bayesian Neural Networks using hybrid PSO and fuzzy logic approach for time series forecasting by Farideh Sobhanifard

“…Then, this approach is evaluated and compared with time series techniques for modeling and forecasting selected data in terms of the performance of the standard and the correlation coefficient. …”
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A smarter approach to liquefaction risk: harnessing dynamic cone penetration test data and machine learning for safer infrastructure by Shubhendu Vikram Singh, Sufyan Ghani

“…DCPT offers a cost-effective, rapid, and adaptable method for evaluating soil resistance, making it suitable for liquefaction assessment across diverse soil conditions. …”
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High performance adaptive step size fractional numerical scheme for solving fractional differential equations by Mudassir Shams, Ahmad Alalyani

“…In both cases, our methods outperform existing approaches, as evidenced by less local and global errors, reduced CPU time, and fewer function and derivative evaluations. Our newly developed fractional order technique outperforms modern high-performance algorithms in solving fractional differential equations, demonstrating superior computational efficiency and stability. …”
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From river flow regime diversity to proxies for hydrologic homogeneity a Canada-wide case study by Sarah Ariano, Geneviève Ali

“…To date, few studies have evaluated whether non-hydrological zonal classifications can serve as proxies for flow dynamics across large, heterogenous regions. …”
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Doppler Resistive Index as a Predictors of Sperm Retrieval in Azoospermic Iraqi Patients by Saad Al -Deen Ghali Al -Essawi, Ahmed Mohsin Jasim Al-Haidery, Hayder Kadhum Hussein Al-Fatlawi

“… Objective: To evaluate the Doppler ultrasound in prediction the success of sperm retrieval in Iraqi azoospermic patient using the resistive index (RI). …”
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Optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm by Fu-you FAN, Guo-wu YANG, Qian-qi LE, Feng-mao LV, Chao ZHAO

“…According to the construction needs of the smart city wireless video sensor network,an optimized network coverage algorithm based on quantum genetic algorithm is proposed.The algorithm fits in with complicated monitoring scene which has some different obstacles and different degree of importance.The monitoring region is depicted by two-dimensional discrete grid model,and the discrete grid model is represented by a code description matrix.The directional wireless video sensor is described by a seven-tuples.The mathematical programming model of the coverage problem is obtained by strict mathematical derivation.The optimized coverage algorithm is comprised by IntialDeployment and OptimizedDeployment algorithms,which takes the maximum coverage rate network deployment scheme as the solving goal.The quantum genetic algorithm with reasonable chromosome coding and optimized quantum rotation gate parameter is used to search the solution space,which has a good convergence rate and a fast computation speed.Two limit values of ideal coverage rate and ideal weighted coverage rate are introduced to evaluate the algorithm by the way of relative comparison.The result of simulation experiments and data analyses show that the solutions worked out by the algorithm can well approximate the ideal limit value.When the number of sensor nodes is given,the algorithm can obtain the maximum effective coverage rate.…”
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Constrictive Pericarditis in a Hemodialysis Patient Who Presented with Rapidly Progressive Pericardial Calcification: A Diagnostic Challenge – A Case Report by Oho Tsunematsu, Shin-ichi Takeda, Mitsutaka Yamaguchi, Miwa Kaneko, Kazuho Oe, Yoshiaki Murakami, Daisuke Nagata

“…Despite such severe manifestations, the distinctive clinical features of CP were lacking. By carefully evaluating the time course of computed tomography images, progressive calcification in the pericardium emerged as a significant clue. …”
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Advancements in thermochemical predictions: a multi-output thermodynamics-informed neural network approach by Raheel Hammad, Sownyak Mondal

“…In recent literature, there is a growing emphasis on evaluating machine learning models under challenging conditions, such as small datasets and out-of-distribution predictions. …”
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Correlating crystallographic texture with anisotropic properties and sheet metal forming of aluminium alloys by Olaf Engler

“…Rather, the materials parameters needed to calibrate the yield function are derived in a pragmatic and computationally efficient approach with VPSC simulations from texture. …”
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