Causal Discovery for Patient Classification Using Health-Related Quality of Life Questionnaires by Maria Ganopoulou, Konstantinos Fokianos, Christos Bakirtzis, Lefteris Angelis, Theodoros Moysiadis

“…<b>Conclusions:</b> The proposed algorithm has the potential to correctly classify patients, but further investigation is needed to evaluate its performance under different scenarios in a large-scale real-world setting. …”
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Parameter sensitivity analysis for diesel spray penetration prediction based on GA-BP neural network by Yifei Zhang, Gengxin Zhang, Dawei Wu, Qian Wang, Ebrahim Nadimi, Penghua Shi, Hongming Xu

“…This paper presents the development of a machine learning model using a Genetic Algorithm-Backpropagation (GA-BP) neural network to predict spray penetration. …”
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Evaluating natalizumab first-line and later-line use in multiple sclerosis: a US claims database analysis by Robin L. Avila, Nicole S. Croteau, Fei Tang, Jason C. Simeone, Khalil Jomaa, Boyang Bian, Mattia Gianinazzi

“…Relapses were identified using a validated claims-based algorithm, and time to first relapse was analyzed using Kaplan–Meier methods. …”
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Fast Analysis of Multi-Layered Anisotropic Electromagnetic Propagation Based on Z-Transform Finite-Difference Time-Domain Method with Scale-Compressed Technique by Yuxian Zhang, Yilin Kang, Xiaoli Feng, Lixia Yang, Zhixiang Huang

“…In this work, we develop a novel computational method, referred to as SCT-Z-FDTD, which integrates the Z-transform finite-difference time-domain algorithm with a scale-compressed technique incorporating wave vectors. …”
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Metabolic, Microvascular, and Structural Predictors of Long-Term Functional Changes Evaluated by Multifocal Electroretinogram in Type 1 Diabetes by Mariacristina Parravano, Serena Fragiotta, Eliana Costanzo, Fabiana Picconi, Paola Giorno, Daniele De Geronimo, Daniela Giannini, Monica Varano, Vincenzo Parisi, Lucia Ziccardi

“…To calculate cone metrics on AO at the parafovea, including cone density (CD), linear dispersion index (LDi), and heterogeneity packing index (Hpi%) in the parafovea, the images were post-processed using a MATLAB algorithm. The mfERG P1 implicit time (IT) and N1-P1 response amplitude density (RAD) from R1 (foveal area), R2 (parafoveal area), and the unified rings R1 + R2 were evaluated. …”
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Multi-scenario analysis of green water resource efficiency under carbon emission constraints in the Chengdu-Chongqing urban agglomeration, China: A system dynamics approach by Keyao Yu, Zhigang Li

“…This study examines the dynamic evolution of green water resource efficiency (GWRE) under carbon emission constraints in Chengdu-Chongqing urban agglomeration (CCUA) from 2005 to 2021 by Super SBM-DEA algorithm. …”
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Enhancing PM_2.5 Air Pollution Prediction Performance by Optimizing the Echo State Network (ESN) Deep Learning Model Using New Metaheuristic Algorithms by Iman Zandi, Ali Jafari, Aynaz Lotfata

“…The evaluation of different criteria revealed that the ESN-SSA model outperformed other hybrids and the original ESN, LSTM, and GRU models.…”
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Evaluation of eco-friendly soil slope stabilization techniques for forest roads by using an Artificial Neural Network (ANN) by Kıvanç Yüksel, Neşe Gülci, Abdullah Emin Akay, Sercan Gülci

“…In this study, the effectiveness of different stabilization techniques implemented on the forest road cut slopes was investigated in terms of controlling erosion and runoff. …”
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Optimization design of an acoustic cover layer for a cylindrical cavity based on porous materials by Bohan ZHANG, Jili RONG, Xiuyan CHENG

“…This experimental setup simulated the cylindrical section of a carrier rocket payload fairing, providing a controlled environment to evaluate the noise reduction and vibration-damping effects of the coating. …”
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Evaluating anti-VEGF responses in diabetic macular edema: A systematic review with AI-powered treatment insights by S Tamilselvi, M Suchetha, Dhanashree Ratra, Janani Surya, S Preethi, Rajiv Raman

“…The article measures the effectiveness of different machine learning and deep learning algorithms, including linear discriminant analysis (LDA), ResNet-50, CNN with attention, quadratic discriminant analysis (QDA), random forest (RF), and support vector machines (SVM), in analyzing eyes that could tolerate extended interval dosing. …”
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Evaluation of the innate immunostimulatory potential of originator and non-originator copies of insulin glargine in an in vitro human immune model. by Ernesto Luna, Pankaj Agrawal, Riyaz Mehta, Maria E Boone, Charlotte Vernhes, Colombe Denys, Robert Small, Bhaswati Mukherjee, Norbert Tennagels, Stefan Maerten, Donald R Drake

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Evaluation of Neural, Systemic and Extracerebral Activations During Active Walking Tasks in Older Adults Using fNIRS by Meltem Izzetoglu, Roee Holtzer

“…Such involved designs further allowed the implementation of advanced signal processing algorithms to separate and evaluate neural, systemic and extracerebral signal contributions on the overall measurements. …”
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Bio-Inspired Multiobjective Optimization for Designing Content Distribution Networks by Gerardo Goñi, Sergio Nesmachnow, Diego Rossit, Pedro Moreno-Bernal, Andrei Tchernykh

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Characteristics of pore-fracture structure and three-dimensional spatial distribution differences in deep and shallow coal reservoirs: A case study of Junggar Basin by WANG Pengxiang, ZHANG Zhou, YU Wanying, ZOU Qiang, YANG Zhengtao

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Evaluating Usability and Accessibility of Visual Programming Tools for Novice Programmers—The Case of App Inventor, Scratch, and StarLogo by Kamil Żyła, Kinga Chwaleba, Dominik Choma

“…The current state of the labor market requires modern engineers to acquire programming skills at different levels of advancement and to apply them in multidisciplinary environments. …”
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Urban monitoring, evaluation and application of COVID-19 listed vaccine effectiveness: a health code blockchain study by Tao Wang, Hongyan Li, Chaoqun Li, Zheheng Li

“…This study uses this system and statistical simulation to analyse three urban application scenarios, namely evaluating the vaccination rate (VR) and determining the optimal vaccination strategy, evaluating herd immunity and monitoring the VE on variant.Main outcome measures The primary outcomes first establish an urban COVID-19 listed VE monitoring, evaluation and application system by using the health code blockchain, combined with the dynamic monitoring model of VE, the evaluation index system of VE and the monitoring and evaluation system of personal privacy information use, and then three measures are analysed in urban simulation: one is to take the index reflecting urban population mobility as the weight to calculate the comprehensive VR, the second is to calculate the comprehensive basic reproduction number (R) in the presence of asymptomatic persons, the third is to compare the difference between the observed effectiveness and the true effectiveness of listed vaccines under virus variation.Results Combining this system and simulation, this study finds: (1) The comprehensive VR, which is weighted to reflect urban population mobility, is more accurate than the simple VR which does not take into account urban population mobility. …”
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CohortDiagnostics: Phenotype evaluation across a network of observational data sources using population-level characterization. by Gowtham A Rao, Azza Shoaibi, Rupa Makadia, Jill Hardin, Joel Swerdel, James Weaver, Erica A Voss, Mitchell M Conover, Stephen Fortin, Anthony G Sena, Chris Knoll, Nigel Hughes, James P Gilbert, Clair Blacketer, Alan Andryc, Frank DeFalco, Anthony Molinaro, Jenna Reps, Martijn J Schuemie, Patrick B Ryan

“…<h4>Objective</h4>This paper introduces a novel framework for evaluating phenotype algorithms (PAs) using the open-source tool, Cohort Diagnostics.…”
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Automated grading of oleaster fruit using deep learning by Aram Azadpour, Kaveh Mollazade, Mohsen Ramezani, Hadi Samimi-Akhijahani

“…Therefore, given its simpler architecture and lower processing time requirements, the YOLOv8n model was used to evaluate the grading system in real-time mode. The overall classification accuracy of this model was 92%, with a sensitivity range of 87.10–94.89% for distinguishing different classes of oleaster at a grading velocity of 21.51 cm/s. …”
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Gamified mHealth System for Evaluating Upper Limb Motor Performance in Children: Cross-Sectional Feasibility Study by Md Raihan Mia, Sheikh Iqbal Ahamed, Samuel Nemanich

“…Different statistical methods (ie, Pearson correlation, mean, standard deviation, P value, 95% confidence interval) were used to compare speed-accuracy tradeoffs and evaluate the relationship between age and motor performance. …”
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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…As the complexities surrounding these relationships have become better understood, it has allowed us to develop increasingly more complex systems for identifying and detecting facial expressions of different emotions. This paper presents an improved performance of the Facial Expression Recognition (FER) systems via augmentation in Artificial Neural Networks and Genetic Algorithms, two renowned artificial intelligence techniques possessing disparate strengths. …”
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