Time‐of‐Arrival of Coronal Mass Ejections: A Two‐Phase Kinematics Approach Based on Heliospheric Imaging Observations by Evangelos Paouris, Angelos Vourlidas

“…This work is a proof‐of‐concept and an analysis of a larger event sample is required to fully validate this technique.…”
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Validation of the Italian version of the Eating-Related Eco-Concern Questionnaire: insights into its relationship with orthorexia nervosa by Lucia Tecuta, Giulia Casu, Elena Tomba

“…This study aimed to validate an Italian version of the Eating-Related Eco-Concern Questionnaire (EREC), a brief unidimensional measure of eating behaviors related to eco-concern.MethodsSix hundred and sixty-three adults (85% females, mean age 37 ± 12 years) completed the EREC, Climate Change Worry Scale (CCWS), Eating Disorder Examination-Questionnaire (EDE-Q), Eating Habits Questionnaire for orthorexia nervosa symptoms (EHQ-21), and questions on dietary habits and motivations, and past experiences of extreme climate events.ResultsConfirmatory factor analysis results indicated that the original one-factor model showed acceptable fit to the data after including the error covariation between two pairs of items. …”
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Backtesting framework for concentrated liquidity market makers on Uniswap V3 decentralized exchange by Andrey Urusov, Rostislav Berezovskiy, Yury Yanovich

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Navigating the Global Cashew Market: Determinants and Elasticities of Ghana's Exports by Benjamin Addo, Akwasi Mensah-Bonsu

“…This study examined the determinants and the price and income elasticities of cashew nut exports from Ghana. Utilizing secondary data from relevant databases over a thirty-year period (1992-2021), the study employed the Autoregressive Distributed Lag (ARDL) model for analysis. …”
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Stacking Ensemble Learning and SHAP-Based Insights for Urban Air Quality Forecasting: Evidence from Shenyang and Global Implications by Zhaoxin Xu, Huajian Zhang, Andong Zhai, Chunyu Kong, Jinping Zhang

“…The ensemble achieved an R² of 94.17% and a mean absolute percentage error of 7.79%, outperforming individual models. …”
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Development and validation of machine learning models for predicting post-cesarean pain and individualized pain management strategies: a multicenter study by Shenjuan Lv, Ning Sun, Chunhui Hao, Junqing Li, Yun Li

“…Method The study analyzed the efficacy of eight ML models, including XGBoost, Random Forest, and Neural Networks, using data from two distinct hospital cohorts. Performance metrics such as Root Mean Squared Error (RMSE) and Coefficient of Determination (R²) were evaluated through internal and external validations. …”
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Quantum-enhanced digital twin IoT for efficient healthcare task offloading by Ahmed K. Jameil, Hamed Al-Raweshidy

“…Empirical evaluations show that quantum preprocessing improved Task Offloading Success Rate (TOSR) by 32% and reduced the Error Rate (ER) by 80%, significantly outperforming traditional DT-based healthcare models. …”
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A Unified Framework for Fault and Performance Prediction Using Spatio-Temporal Geometric Features Based on STSFE by Dong-Hyun Kang, A-Youn Yang, Jong-Min Lee, Jong-Gu Lee

“…The core methodology, Spatio-Temporal Slope Feature Extraction (STSFE), transforms irregular time-series data into slope-, area-, and volume-based representations, capturing both temporal dynamics and spatial correlations. …”
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Boosting employee information security compliance: the contingent roles of task–technology and person–organization fits by Inho Hwang, Ribin Seo, Sungho Hu

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The effect of human resource management practices on job security: a case study of Awal Gulf Company in Bahrain by Ali Ateeq, Askar Garad, Nasser A. Saif Almuraqab, Wadeea Abdulmohsen, Hosam Alden Riyadh

“…Methodology A sample of 760 workers was selected through convenience sampling, guided by Cochran's formula to ensure an acceptable margin of error for a population of 256. Data were collected using self-administered questionnaires and analyzed with SPSS version 28 for descriptive statistics. …”
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Energy Demand Forecasting Scenarios for Buildings Using Six AI Models by Khaled M. Salem, Francisco J. Rey-Martínez, A. O. Elgharib, Javier M. Rey-Hernández

“…Model performance is rigorously evaluated using metrics like Squared Mean Root Percentage Error (RMSPE) and Coefficient of Determination (R²), ensuring robust analysis. …”
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Short-Term Prediction of the Solar Photovoltaic Power Output Using Nonlinear Autoregressive Exogenous Inputs and Artificial Neural Network Techniques Under Different Weather Condit... by Abdulrahman Th. Mohammad, Wisam A. M. Al-Shohani

“…This goal was achieved based on an experimental dataset for the power output of a PV module obtained during the sunny days in summer and cloudy days in winter, and using the data in the algorithm models of NARX and ANN. In addition, the analysis results of the NARX model were compared with those of the static ANN model to measure the accuracy and superiority of the nonlinear model. …”
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Distress, multimorbidity, and complex multimorbidity among Chinese and Korean American older adults. by Hannah Oh, Brittany N Morey, Yuxi Shi, Sunmin Lee

“…We performed logistic regression for CMM and Poisson regression with robust error variance for MM to estimate associations with distress, adjusting for potential confounders.…”
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Developing a comprehensive malnutrition prediction model for the elderly in nursing homes by Yan Wu, Wei Tan, Wenlong Yi, Yujuan Chen

“…Methods We analyzed clinical data from 1,023 elderly individuals (aged ≥ 65 years) across 26: nursing homes in Wuhan, China (March–October 2023). …”
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A student academic performance prediction model based on the interval belief rule base by Wenkai Zhou, Yunsong Li, Jiaxing Li, Tianhao Zhang, Xiping Duan, Ning Ma, Yuhe Wang

“…Abstract Student performance prediction (SPP) constitutes one of the pivotal tasks in educational data analysis. Outcomes from the prediction enables educators to implement targeted interventions for students. …”
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Examining the relationship of inflation, gross domestic product, oil price, foreign direct investment, and trade openness on unemployment in Saudi Arabia by Lansheng Cao, Sayed Fayaz Ahmad, Yajun Wang, Syed Jamal Shah, Muhammad Ibrahim, Fuad Mohammed Alhamdi, Mahmoud Izzat Allaham, Ansar Abbas

“…The study used EViews and excel for the data analysis; and employed Autoregressive Distributed Lag (ARDL) model for the extraction of results. …”
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Neuro-fuzzy techniques for modeling process parameters in pulsed electrochemical machining of steel by Irvin Uriel Nopalera Angeles, Everardo Efrén Granda Gutiérrez, Roberto Alejo Eleuterio, René Arnulfo García Hernández, Ángel Hernández Castañeda, María Guadalupe Pineda Arizmendi

“…For this purpose, experimental data from electrochemical machining divided into subsets were used to train and test the model. …”
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FlexiNet: An Adaptive Feature Synthesis Network for Real-Time Ego Vehicle Speed Estimation by Abdalrahaman Ibrahim, Kyandoghere Kyamakya, Wolfgang Pointner

“…To address these challenges, we propose FlexiNet, a novel adaptive feature synthesis network that leverages monocular camera data to perform real-time speed estimation. FlexiNet integrates five key components, the Contextual Motion Analysis Block, Adaptive Feature Transformer, Spatial Feature Extraction Module, Motion Feature Extraction Module, and Dynamic Integration Gate, to effectively extract and fuse spatial and temporal features, thereby overcoming limitations of previous approaches by mitigating noise and capturing subtle motion dynamics. …”
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Determination of Propranolol Hydrochloride in Pharmaceutical Preparations Using Near Infrared Spectrometry with Fiber Optic Probe and Multivariate Calibration Methods by Jucelino Medeiros Marques Junior, Aline Lima Hermes Muller, Edson Luiz Foletto, Adilson Ben da Costa, Cezar Augusto Bizzi, Edson Irineu Muller

“…The treatments based on the mean centered data and multiplicative scatter correction (MSC) were selected for models construction. …”
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Similarity Model of a Rotary Lobe Expander Working with Various Fluids by Witold Rybiński, Artur Maurin, Zbigniew Krzemianowski, Sebastian Bykuć

“…The basic thermodynamic analysis of various fluids is also presented for this case. …”
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