Portfolio assessment in AI-enhanced learning environments: a pathway to emotion regulation, mindfulness, and language learning attitudes by Mohamad Ahmad Saleem Khasawneh, Alaa Aladini, Sabah Abdulkader Assi, Bemnet Ajanil

“…The EG engaged in a portfolio assessment approach where AI was employed by the course instructor to review the portfolios and provide continuous, individualized feedback. …”
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Real-Time HIL Simulation of Nonlinear Generalized Model Predictive-Based High-Order SMC for Permanent Magnet Synchronous Machine Drive by Hafidh Djouadi, Kamel Ouari, Youcef Belkhier, Hocine Lehouche

“…Recent attention has turned to employing predictive control techniques for nonlinear multivariable systems, offering an intriguing avenue for research. …”
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Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection by Chenxu Wang, Mengqin Wang, Xiaoguang Wang, Luyue Zhang, Yi Long

“…We then develop a multi-relational graph convolutional network to aggregate information within each relationship and employ an attention mechanism to fuse information across multiple relationships. …”
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Cryptocurrency investment: Evidence of financial literacy, experience, and risk tolerance by Chalimatuz Sa’diyah, Bambang Widagdo, Fika Fitriasari

“…The data collection techniques employed in this study involve non-probability sampling methods through the distribution of questionnaires. …”
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Exploring sentiment analysis in handwritten and E-text documents using advanced machine learning techniques: a novel approach by Rayees Ahamad, Kamta Nath Mishra

“…It may further be increased by employing a hybrid approach of intelligent algorithms. …”
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Uncertainty quantification of CT regularized reconstruction within the Bayesian framework by Negin Khoeiniha, Patricio Guerrero, Wim Dewulf

“…Given our interest in the uncertainty Quantification (UQ) of CT reconstruction, we employ statistical methods within the Bayesian framework for solving this inverse problem. …”
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Prediction of Ultimate Load of Rectangular CFST Columns Using Interpretable Machine Learning Method by Tien-Thinh Le, Hieu Chi Phan

“…A 11-fold cross-validation technique was employed to evaluate the performance of the model. …”
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Death risk prediction model for patients with non-traumatic intracerebral hemorrhage by Yidan Chen, Xuhui Liu, Mingmin Yan, Yue Wan

“…This study used LASSO regression and multivariable logistic regression analysis to screen for features. We then employed XGBoost to construct a machine-learning model. …”
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An imbalanced deep learning framework for pre-fault flexible multi-zone dynamic security assessment via transfer learning based graph convolutional network by Sasan Azad, Mohammad Taghi Ameli

“…In this paper, for high MMD, the fine-tuning approach of the entire model is employed, and for low MMD, the fine-tuning approach of the last two dense layers is employed. …”
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What are the perceived influences on asthma self-management at the workplace? A qualitative study by Adrian Loerbroks, Katherina Heinrichs, Patricia Vu-Eickmann, Stefan Hummel, Jalal Gholami

“…The implementation of asthma SMB seems to depend on contextual factors. For employed adults, working conditions may be important in this respect. …”
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The growth–environment nexus amid geopolitical risks: cointegration and machine learning algorithm approaches by Md. Idris Ali, Md. Atikur Rahaman, Mohammed Julfikar Ali, Md. Ferdausur Rahman

“…To validate robustness, the Kernel Regularized Least Squares (KRLS) machine learning approach is employed, confirming the consistency of results. Additionally, the Toda-Yamamoto causality test identifies directional causal relationships among the variables. …”
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Exploring fetal growth patterns in the second trimester: insights from ultrasound measurements among the Minangkabau Ethnic Group in Indonesia by Yusrawati, Joserizal Serudji, Bobby Indra Utama, Puspita Sari

“…Methods Conducted from December 2020 to December 2021, the research employed a cross-sectional design at the Fetomaternal clinic of Hospital M. …”
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Diversity of Rhizophydiales (Chytridiomycota) in Thailand: unveiling the hidden gems of the Kingdom by Vedprakash G. Hurdeal, Joyce E. Longcore, E. B. Gareth Jones, Kevin D. Hyde, Eleni Gentekaki

“…To confirm the novelty of the species, we employed robust phylogenetic analyses using maximum likelihood and bayesian methods. …”
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Use of climate smart agriculture technologies in West Africa peri-urban Sahel in Niger by Tinawaen Tambol, Emmanuel K. Derbile, Moussa Soulé

“…The achievements of Sustainable Development Goals 1, 2, 8, 12 and 13 in developing countries rely on utilising Climate-Smart Agriculture Technologies (CSAT) to address climate change, youth unemployment and food insecurity. The study employed a mixed-method research design, employing field and household surveys of 142 peri-urban smallholder farmers, key informants and desktop-based research in collecting data. …”
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Deep-Sea Ecosystems as an Unexpected Source of Antibiotic Resistance Genes by Wei Zhang, Yingdong Li, Yunmeng Chu, Hao Liu, Hongmei Jing, Qianfeng Xia

“…Our metagenomics study employed short-read-based (SRB) and assembled-contig-based (ACB) methods to identify ARGs in deep-sea waters and sediments and assess their potential pathogenicity. …”
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Change Detection and Incremental Updates for Multi-Source Road Networks Considering Topological Consistency by Xiaodong Wang, Dongbao Zhao, Xingze Li, Nan Jia, Li Guo

“…For geometric change detection, we employ buffer analysis to compare various sources of vector road networks, differentiating between newly added, deleted, and unchanged road features. …”
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Optimal Dimensional Synthesis of Ackermann Steering Mechanisms for Three-Axle, Six-Wheeled Vehicles by Yaw-Hong Kang, Da-Chen Pang, Yi-Ching Zeng

“…This study employs four metaheuristic optimization methods to optimize the dimensional synthesis of Ackermann steering mechanisms for three-axle, six-wheeled vehicles with front-axle steering mode and reverse-phase steering mode. …”
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Multisectoral actions in primary health care: A realist synthesis of scoping review. by Resham B Khatri, Daniel Erku, Aklilu Endalamaw, Eskinder Wolka, Frehiwot Nigatu, Anteneh Zewdie, Yibeltal Assefa

“…We explained findings using a multilevel lens: MSAs at the strategic level (macro-level), coordination and partnerships at the operational level (meso-level) and MSAs employing to modify behaviours and provide services at the local level (micro-level).…”
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Cardiorespiratory fitness (CRF) and its relationship with maximum oxygen consumption (VO2max) among 16-year-old junior players at Zakho football club by Athraa Abdulelah Abdulsatar

“…The descriptive correlational method was employed to examine the relationship between cardiorespiratory fitness CRF and VO2 max in 16-year-old junior football players. …”
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Access to employee assistance programs and employee wellbeing: a cross-sectional study of employees in Southeast Asia by Amani Fadzlina Abdul Aziz, Tiffanie Ong

“…The COVID-19 pandemic has spearheaded the importance of employee mental health, highlighting the role that employers can play in preserving employee wellbeing. …”
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