Pedagogical Qualities of Artificial Intelligence-Assisted Teaching: An Exploratory Analysis of a Personal Tutor in a Voluntary Business Higher-Education Course by Nikša Alfirević, Marko Hell, Darko Rendulić

“…There is minimal research concerning the role of custom-trained artificial intelligence (AI) tools in higher education, with a lack of research concerning the pedagogical qualities of an AI-based personal tutor. To fill this literature gap, we examined how a custom GPT personal tutor shapes key teaching and learning qualities. …”
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XRGuard: A Model-Agnostic Approach to Ransomware Detection Using Dynamic Analysis and Explainable AI by M. Adnan Alvi, Zunera Jalil

“…Ransomware remains a persistent and evolving cybersecurity threat, demanding advanced and adaptable detection strategies. Traditional methods often fall short as signature-based systems are easily circumvented by emerging ransomware variants, while techniques like obfuscation and polymorphism add complexity to the detection process. …”
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Periods of high uncertainty: How fertility intentions in Russia changed during 2022–2023 by Elena Vakulenko, Dmitriy Gorskiy, Valeria Kondrateva, Ilya Trofimenko

“…OBJECTIVE: Our objective is to identify factors that influence decision-making in a low fertility context during a crisis, including both objective characteristics and subjective assessment of the current situation. METHODS: This paper is based on unique survey results, conducted in May 2023 (N = 7,967). …”
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Retrospective cohort study of Helicobacter pylori infection and risk stratification using 6-year UBT data by Yan Chen, Miaojuan Wang, Jianfeng Wang, Jianfeng Wang

“…This study aims to develop a machine learning (ML)-based risk prediction model using 6-year longitudinal Urea Breath Test (UBT) data to identify metabolic alterations associated with chronic H. pylori infection.MethodsA retrospective cohort study was conducted using health examination data from 3,409 individuals between 2016 and 2021. …”
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Comparing the Application Effects of Immersive and Non-Immersive Virtual Reality in Nursing Education: The Influence of Presence and Flow by Choon-Hoon Hii, Cheng-Chia Yang

“…<b>Background:</b> This study extends the theoretical framework based on the Cognitive–Affective Model of Immersive Learning (CAMIL) by incorporating flow state and cognitive absorption to investigate the effectiveness of virtual reality (VR) in nursing education. …”
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Examining the relationship between teacher’s theoretical beliefs and classroom practices in teaching Arabic by Aidillah Suja, Muassomah Muassomah, Sutaman Sutaman, M. Abdul Hamid, Abdul Wahab Rosyidi

“…However, it must align with teachers’ beliefs to influence classroom practices and impact learning outcomes, as teachers’ beliefs and classroom practices dynamically influence one another. …”
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A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection by Mohammad Mohebbi, Amirhossein Manzourolajdad, Ethan Bennett, Phillip Williams

“…However, it is challenging due to the high cost and time demands of experimental methods and the high false-positive rates of computational approaches. (2) Methods: We introduce a Multi-Input Neural Network (MINN) algorithm that integrates diverse biologically relevant features, including the microRNA duplex structure, substructures, minimum free energy, and base-pairing probabilities. …”
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Association of RDoC dimensions with post mortem brain transcriptional profiles in Alzheimer's disease by Weiqian Jiang, Jonathan Vogelgsang, Shu Dan, Peter Durning, Thomas H. McCoy, Sabina Berretta, Torsten Klengel

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SEM-Net: A Social–Emotional Music Classification Model for Emotion Regulation and Music Literacy in Individuals with Special Needs by Yu-Chi Chou, Shan-Ken Chien, Pen-Chiang Chao, Yuan-Jin Lin, Chih-Yun Chen, Kuang-Kai Yeh, Yen-Chia Peng, Chen-Hao Tsao, Shih-Lun Chen, Kuo-Chen Li

“…This study aims to establish an innovative AI-based social–emotional music classification model named SEM-Net, specifically designed to integrate three core positive social–emotional elements—positive outlook, empathy, and problem-solving—into classical music, facilitating accurate emotional classification of musical excerpts related to emotional states. …”
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Artificial intelligence in triage of COVID-19 patients by Yuri Oliveira, Iêda Rios, Paula Araújo, Alinne Macambira, Marcos Guimarães, Lúcia Sales, Marcos Rosa Júnior, André Nicola, Mauro Nakayama, Hermeto Paschoalick, Francisco Nascimento, Carlos Castillo-Salgado, Vania Moraes Ferreira, Hervaldo Carvalho

“…Considering that only data from hospital admission was used, and that this data came from low-cost clinical examination and laboratory testing, the low false positive rate and acceptable accuracy observed shows that it is feasible to implement prediction systems based on artificial intelligence as an effective triage method.…”
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A Low‐Latitude Three‐Dimensional Ionospheric Electron Density Model Based on Radio Occultation Data Using Artificial Neural Networks With Prior Knowledge by Ding Yang, Hanxian Fang

“…Our work demonstrates a new possibility of applying deep learning methods with prior knowledge to a broader field of geosciences, particularly for problems of prediction.…”
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The Criticality of Connecting People to Financial Results ‒ an ROI Calculation Model for Romanian FSOs by Daniela Niculescu

“…There is a substantial concern on using ROI on Learning and Development programmes, but whilst this is still declared, Romanian FSOs do not yet have a consistent method to measure it. …”
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Human face localization and detection in highly occluded unconstrained environments by Abdulaziz Alashbi, Abdul Hakim H.M. Mohamed, Ayman A. El-Saleh, Ibraheem Shayea, Mohd Shahrizal Sunar, Zieb Rabie Alqahtani, Faisal Saeed, Bilal Saoud

“…These results surpass those achieved by alternative methods such as YOLO-v3 and Mobilenet-SSD. This study shows the capacity to make substantial progress in detecting occluded faces, hence offering the ability to make a positive influence on the domains of identification, surveillance and expression recognition.…”
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Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors by Raoof Nopour

“…The data were analyzed using univariate and adjusted correlation-based methods and chosen machine learning and deep learning algorithms. …”
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ChatGPT in higher education - A Student's perspective by Ahmed Shuhaiber, Mohammad Amin Kuhail, Sinan Salman

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Ultrasound radiomics models improve preoperative diagnosis and reduce unnecessary biopsies in indeterminate thyroid nodules by Lu Chen, Yan Wang, Yan Wang, Haoyu Jing, Haoyu Jing, Rui Bao, Bin Sun, Mingbo Zhang, Yukun Luo

“…These models outperformed the ITS 100 system, Thynet deep learning-based tools (p &lt; 0.05), and junior radiologists.ConclusionUltrasound radiomics models are promising, convenient, and accurate adjunct tools for predicting malignancy, improving junior radiologists’ diagnostic performance, reducing unnecessary biopsies, and enhancing diagnostic precision in clinical practice.…”
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Behaviors and influencing factors of Chinese oncology nurses towards frailty care: A cross-sectional study based on knowledge-attitude-practice theory in 2024. by Xiaoxue Chen, Fang Xiao, Yuhua Miao, Huiying Qin, Lirong Yang, Fang Shen, Xiuhong Yuan

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Effectiveness Evaluation of "Refining Instruction and Support for Staff in Medical Education" Program on Improving the Knowledge Perspectives of Medical Education Development Offic... by Parvin Rezaei Gazki, Somayeh Noori Hekmat, Mahla Salajegheh

“…Given the vital role of education development office experts in improving the education in medical universities, this study aimed to evaluate the effectiveness of the training program "Refining Instruction and Support for staff in Medical Education" on improving the knowledge and perspectives of medical education development office experts. Method: A quasi-experimental study was designed to implement and evaluate a medium-term program which was developed based on literature review, study of upstream documents, and needs assessment through focus groups with medical education experts. …”
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The relationship between mixed exposure to blood metal and serum neurofilament light chain levels in the general U.S. population: an unsupervised clustering approach by Jiyu Nie, Jiyu Nie, Lin Wen, Zhentian Lai, Zhentian Lai, Chuhang Lin, Chuhang Lin, Haiyin Li, Haiyin Li, Jing Zhang, Jing Zhang, Shen Xie, Shen Xie, Xiaosong Ben, Chunxia Jing, Chunxia Jing

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Siamese network with squeeze-attention for incomplete multi-view multi-label classification by Mengqing Wang, Jiarui Chen, Lian Zhao, Yinghao Ye, Xiaohuan Lu

“…The VRC mechanism uses contrastive learning with positive and negative sample pairs to refine the shared semantic space, ensuring higher feature consistency and better alignment across views. …”
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