Predicting student next-term performance in degree programs using AI-based approach: a case study from Ghana by John-Bosco Diekuu, M. S. Mekala, Ulric Sena Abonie, John Isaacs, Eyad Elyan

“…Eight semesters of data representing 3,093 undergraduate Health Sciences students was collected from a public university in Ghana, analyzed, pre-processed and transformed into a time-series format. Then a dynamic experimental framework utilizing four different machine learning methods to predict student performance was created. …”
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Topology Unveiled: A New Horizon for Economic and Financial Modeling by Yicheng Wei, Junzo Watada, Zijin Wang

“…The most famous practical applications include the use of topological data analysis (TDA) and topological machine learning (TML) for different applied problems.…”
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Advancements in Viral Genomics: Gated Recurrent Unit Modeling of SARS-CoV-2, SARS, MERS, and Ebola viruses by Abhishak Raj Devaraj, Victor Jose Marianthiran

“…Methods: This study aimed to comprehensively analyze and compare the genomic sequences of four distinct viruses: SARS-CoV-2, SARS, MERS, and Ebola. …”
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Predictive Capability Evaluation of Micrograph-Driven Deep Learning for Ti6Al4V Alloy Tensile Strength Under Varied Preprocessing Strategies by Yuqi Xiong, Wei Duan

“…The classification model was insensitive to normalization methods, while min–max normalization with center-cropping showed optimal standardization for regression (R² = 0.111 ± 0.017). …”
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Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction. by Noshaba Qasmi, Rimsha Bibi, Sajid Rashid

“…Cone snails are venomous marine gastropods comprising more than 950 species widely distributed across different habitats. Their conical shells are remarkably similar to those of other invertebrates in terms of color, pattern, and size. …”
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Research on Supply Chain Efficiency in COVID-19: The Role of Information and Communications by R. S. Rogulin, R. S. Pavlyuk, N. R. Talitskikh

“…Currently, supply chain (SC) management is also in a digital transformation, especially during the period of disruptions in global and local supply chains caused by the COVID-19 pandemic. …”
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HFA-Net: hierarchical feature aggregation network for micro-expression recognition by Meng Zhang, Wenzhong Yang, Liejun Wang, Zhonghua Wu, Danny Chen

“…The global branch introduces the retentive meet transformers (RMT) block to establish dependencies between holistic facial features and structural information. …”
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Bioactive Potential of Milk Thistle (<i>Sylibum marianum</i>) Seeds and Applicability of Its Edible Oil in Food Processing by Anis Chikhoune, Aicha Ghazi, Fahima Adjadj

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Satisfaction with telemedicine use during COVID-19 pandemic in the UK: a systematic review by WA. Alashek, SA. Ali

“…This review evaluated the satisfaction of healthcare users and providers and their willingness to use this modality in future.Methods: The study was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. …”
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Association between advanced lung cancer inflammation index and mortality in critically ill septic patients: analysis of the MIMIC-IV database by ChongZhe Pei, Yuxin Dong, Ningning Song

“…These findings were consistent across different subgroups, confirming the stability of the results. …”
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Intelligent Recognition and Automated Production of Chili Peppers: A Review Addressing Varietal Diversity and Technological Requirements by Sheng Tai, Zhong Tang, Bin Li, Shiguo Wang, Xiaohu Guo

“…Intelligent technologies offer key opportunities for sector transformation. This review begins by outlining the diversity of major chili pepper cultivars, differences in key quality indicators, and the resulting specific harvesting needs. …”
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A Systematic Review on Technologies and Industry 4.0 in the Forest Supply Chain: A Framework Identifying Challenges and Opportunities by Zhaoyuan He, Paul Turner

“…<i>Methods:</i> The systematic literature review methodology identified 45 peer-reviewed studies for inclusion that are analyzed, interpreted and discussed in this paper. …”
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Central banks Digital Currencies Issuance: Development Directions and Key Risks by V. V. Kuznetsova, O. I. larina

“…The authors use general and special research methods, including comparative analysis and systematization. …”
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Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications by Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi

“…It addresses the challenges posed by the high dimensionality and noise of microarray data, aiming to integrate the strengths and limitations of various methods while exploring their applicability across different scenarios. …”
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Adverse drug reaction signal detection via the long short-term memory model by Mengqi Cao, Yanna Chi, Jinyang Yu, Yu Yang, Ruogu Meng, Jinzhu Jia, Jinzhu Jia

“…This study aims to introduce deep learning models into the adverse drug reaction (ADR) signal detection and compare different methods.MethodsThe data are based on adverse events collected by Center for ADR Monitoring of Guangdong. …”
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SambaMixer: State of Health Prediction of Li-Ion Batteries Using Mamba State Space Models by Jose Ignacio Olalde-Verano, Sascha Kirch, Clara Perez-Molina, Sergio Martin

“…We introduce a novel anchor-based resampling method as an augmentation technique. Additionally, we improve performance and learn recuperation effects by conditioning the prediction on the sample time and cycle time difference using positional encodings. …”
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Challenges in AI-driven multi-omics data analysis for Oncology: Addressing dimensionality, sparsity, transparency and ethical considerations by Maryem Ouhmouk, Shakuntala Baichoo, Mounia Abik

“…On the other hand, generative methods such as variational autoencoders (VAEs), generative adversarial networks (GANs), and generative pretrained transformers (GPTs) focus on creating adaptable representations that can be shared across multiple modalities. …”
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Gene Expression Profiling of Pancreatic Ductal Adenocarcinoma Arising From Intraductal Papillary Mucinous Neoplasms of the Pancreas by William A. Ziaziaris, Christopher S. H. Lim, Loretta Sioson, Anthony J. Gill, Jaswinder S. Samra, Sumit Sahni, Anubhav Mittal

“…The current study aimed to identify differentially expressed genes (DEGs) in invasive PDAC‐associated IPMN vs. noninvasive IPMN to understand the potential molecular changes involved in malignant transformation of IPMN into PDAC. Materials and Methods Archived tissue and data from 12 patients with histologically proven invasive PDAC arising from IPMN specimens were assessed. …”
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Open Education System in Management Training in the Digital Economy by L. P. Gancharik

“…The proposed methodology in the open education system for the formation of level models of managerial competencies of managerial personnel in the digital economy.Materials and methods. Digital transformation is a nationwide task. …”
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Comparisons of Adherence to Antiretroviral Therapy in a High-Risk Population in China: A Systematic Review and Meta-Analysis. by Zhou Huan, Wang Fuzhi, Liu Lu, Zhang Min, Chen Xingzhi, Jin Shiyang

“…Data were pooled with proportions transformed prior to pooling using the Freeman-Tukey double arcsine transformation and then back transformed to the original scale. …”
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