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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Locomotion Joint Angle and Moment Estimation With Soft Wearable Sensors for Personalized Exosuit Control by Luying Feng, Lianghong Gui, Wenzhu Xu, Xiang Wang, Canjun Yang, Yaochu Jin, Wei Yang

“…Recent advancements in flexible sensing and machine learning have positioned soft sensors as promising alternatives to traditional methods for human posture detection. …”
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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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A comprehensive diagnostic framework for hepatitis C using structured data and predictive analytics by Behnaz Motamedi, Balázs Villányi

“…This study posits that a structured preprocessing and feature selection methodology might substantially improve the classification accuracy and generalizability of machine learning (ML) models in predicting stages of hepatitis C virus (HCV) using clinical and demographic data. …”
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Digital-Tier Strategy Improves Newborn Screening for Glutaric Aciduria Type 1 by Elaine Zaunseder, Julian Teinert, Nikolas Boy, Sven F. Garbade, Saskia Haupt, Patrik Feyh, Georg F. Hoffmann, Stefan Kölker, Ulrike Mütze, Vincent Heuveline

“…Because of the broad biochemical spectrum of individuals with GA1 and the lack of reliable second-tier strategies, NBS for GA1 is still confronted with a high rate of false positives. In this study, we aim to increase the specificity of NBS for GA1 and, hence, to reduce the rate of false positives through machine learning methods. …”
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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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MFDAFF-Net: Multiscale Frequency-Aware and Dual Attention-Guided Feature Fusion Network for UAV Imagery Object Detection by Shu Tian, Bingxi Zhang, Lin Cao, Lihong Kang, Jing Tian, Xiangwei Xing, Bo Shen, Chunzhuo Fan, Kangning Du, Chong Fu, Ye Zhang

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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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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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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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Cross-Modal Collaboration and Robust Feature Classifier for Open-Vocabulary 3D Object Detection by Hengsong Liu, Tongle Duan

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AAD-YOLO: An Improved YOLOv8 Model for Complex Remote Sensing Scenarios by Yue Hong, Yi Shu, Shuo Guo

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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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Development and validation of a multimodal automatic interictal epileptiform discharge detection model: a prospective multi-center study by Nan Lin, Lian Li, Weifang Gao, Peng Hu, Gonglin Yuan, Heyang Sun, Fang Qi, Lin Wang, Shengsong Wang, Zi Liang, Haibo He, Yisu Dong, Zaifen Gao, Xiaoqiu Shao, Liying Cui, Qiang Lu

“…The automated IED detection model was constructed using deep learning based on video and electroencephalogram (EEG) features. …”
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Influencing Mechanism of the Social Role of Government Digital Human on Public Adoption Behavior by WEI Tianyu, LIU Zhongyi, ZHANG Ning

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ChatGPT in higher education - A Student's perspective by Ahmed Shuhaiber, Mohammad Amin Kuhail, Sinan Salman

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Islamic-based anti-corruption education to build integrity zones among ma'had al-jami'ah students at uin Maulana Malik Ibrahim Malang by Gufron Gufron, Dewi Chamidah, M. Anwar Firdausy, Inayatur Rosyidah

“…Positioning the integrative-inclusive anti-corruption education model based on Qami' al-Thughyan's book material more applicatively as a learning approach.…”
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Evaluating axillary lymph node metastasis risks in breast cancer patients via Semi-ALNP: a multicenter studyResearch in context by Limeng Qu, Jinfeng Zhu, Xilong Mei, Zixi Yi, Na Luo, Songlin Yuan, Xuan Liu, Mingwen Liu, Haiqing Xie, Xiongqiang Hu, Liangrui Pan, Qingchun Liang, Yanhui Li, Qiongyan Zou, Qin Zhou, Danhua Zhang, Meirong Zhou, Lei Pei, Ke Qian, Qian Long, Qitong Chen, Xi Chen, Jennifer K. Plichta, Qingyao Shang, Meishuo Ouyang, Jiachi Xu, Wenjun Yi

“…Currently, traditional pathological staging methods still rely on invasive biopsies or surgeries. …”
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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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A comprehensive review on application of drone, virtual reality and augmented reality with their application in dragline excavation monitoring in surface mines by Piyush Singh, Vmsr Murthy, Dheeraj Kumar, Simit Raval

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