Intralesional and perilesional radiomics strategy based on different machine learning for the prediction of international society of urological pathology grade group in prostate ca... by Zhiping Li, Liqin Yang, Ximing Wang, Huijing Xu, Wen Chen, Shuchao Kang, Yasheng Huang, Chang Shu, Feng Cui, Yongsheng Zhang

“…Abstract Objective To develop and evaluate a intralesional and perilesional radiomics strategy based on different machine learning model to differentiate International Society of Urological Pathology (ISUP) grade > 2 group and ISUP ≤ 2 prostate cancers (PCa). …”
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A Phenomenological Study on the Lived Experiences of Physics Students in Laboratory Classes by Cara Luz Buar

“…An example of experience-based learning would be doing experiments in the classroom. …”
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Exploration of potential biomarkers and immune cell infiltration characteristics for peripheral atherosclerosis in sjögren’s syndrome based on comprehensive bioinformatics analysis... by Chunjiang Liu, Yuan Wang, Lina Zhou, Feifei Cai, Xiaoqi Tang, Liying Wang, Xiang Zhang

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Serious Games in Entrepreneurship Classroom: Pedagogical Implications and Outcomes by Hui Yan Yeong, Ann Rosnida Md Deni

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Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South Korea by Taeyong Sim, Eun Young Cho, Ji-hyun Kim, Kyung Hyun Lee, Kwang Joon Kim, Sangchul Hahn, Eun Yeong Ha, Eunkyeong Yun, In-Cheol Kim, Sun Hyo Park, Chi-Heum Cho, Gyeong Im Yu, Byung Eun Ahn, Yeeun Jeong, Joo-Yun Won, Hochan Cho, Ki-Byung Lee

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Complete Blood Count and Monocyte Distribution Width–Based Machine Learning Algorithms for Sepsis Detection: Multicentric Development and External Validation Study by Andrea Campagner, Luisa Agnello, Anna Carobene, Andrea Padoan, Fabio Del Ben, Massimo Locatelli, Mario Plebani, Agostino Ognibene, Maria Lorubbio, Elena De Vecchi, Andrea Cortegiani, Elisa Piva, Donatella Poz, Francesco Curcio, Federico Cabitza, Marcello Ciaccio

“…However, despite encouraging results, MDW has poor sensitivity and positive predictive value when compared to other biomarkers. …”
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An interpretable machine learning model based on computed tomography radiomics for predicting programmed death ligand 1 expression status in gastric cancer by Lihuan Dai, Jinxue Yin, Xin Xin, Chun Yao, Yongfang Tang, Xiaohong Xia, Yuanlin Chen, Shuying Lai, Guoliang Lu, Jie Huang, Purong Zhang, Jiansheng Li, Xiangguang Chen, Xi Zhong

“…Here, we developed and validated an interpretable machine learning (ML) model based on contrast-enhanced computed tomography (CECT) radiomics for preoperatively predicting PD-L1 expression status in patients with gastric cancer (GC). …”
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Efficacy and prognostic factors of anti-VEGF treatment for neovascular age-related macular degeneration: An OCTA imaging-based deep learning analysis by Shengnan Liu, Yuanyuan Liu, Xiaohan Wu, Haochen Wang, Ziqi Jin, Peiru Wang, Jinyu Feng, Song Chen, Wei Zhou

“…There were statistical differences in the association between the base line Vdisp of DVC (b = 0.07, t = 2.50, P = 0.014), base line intraretinal fluid (IRF) (b = 0.17, t = 2.02, P = 0.045) and base line BCVA, shown with multiple linear regression analysis. …”
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Development of the concept-process model and metacognition via FAR analogy-based learning approach in the topic of metabolism among second-year undergraduates by Handee Witawas, Thammaprateep Jurarat, Suwanjinda Duongdearn

“…This study aims to compare students’ ability to construct concept-process models before and after participating in analogy-based learning using the Focus-Action-Reflection (FAR) method on the topic of metabolism. …”
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Game-based motor coordination (GBMC): an innovative approach to early childhood development by Rembulan Catra Banyu Biru, Vevi Sunarti, Arischo Mardiansyah

“…Conclusions: The GBMC model effectively enhances motor coordination and is positively received by teachers involved in this study as an innovative method for supporting meaningful and structured physical education for low-grade students in Indonesia (ages 7–9). …”
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Application of dynamic enhanced scanning with GD-EOB-DTPA MRI based on deep learning algorithm for lesion diagnosis in liver cancer patients by Bo Liu, Jinhua Yang, Yifei Wu, Xi Chen, Xueru Wu

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A deep learning model for prediction of lysine crotonylation sites by fusing multi-features based on multi-head self-attention mechanism by Yunyun Liang, Minwei Li

“…In this paper, we propose an effective model named DeepMM-Kcr, which is based on multiple features and an innovative deep learning framework. …”
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Estimation of Forces and Powers in Ergometer and Scull Rowing Based on Long Short-Term Memory Neural Networks by Lorenzo Pitto, Frédéric R. Simon, Geoffrey N. Ertel, Gérome C. Gauchard, Guillaume Mornieux

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Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application by Andrei Velichko, Mehmet Tahir Huyut, Maksim Belyaev, Yuriy Izotov, Dmitry Korzun

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Machine learning for predicting all-cause mortality of metabolic dysfunction-associated fatty liver disease: a longitudinal study based on NHANES by Xueni Wang, Huihui Chen, Luqiao Wang, Wenguang Sun

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Sea Surface Height Inversion Model Based on Multimodal Deep Learning for the Fusion of Heterogeneous FY-3E GNSS-R Data by Yun Zhang, Ganyao Qin, Shuhu Yang, Yanling Han, Zhonghua Hong

“…Traditional physical altimetry methods based on delay–Doppler mapping (DDM) are subject to errors that are difficult to correct computationally. …”
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The anxiety behind the screen: exploring the relationship between knowledge-based videos engagement and learning anxiety among postgraduate entrance exam candidates, mediated by se... by Kunjin Xu, Liangye Bao, Dan Zhang

“…The findings will offer empirical guidance for using knowledge-based videos to alleviate learning anxiety.MethodsFrom September 4 to 30, 2024, a convenience sampling method was used to survey 466 candidates preparing for the 2025 national PEE in China. …”
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Beyond meta-studies: Learnings from a large multi-site primary dataset on non-tangible benefits of nature-based solutions by Martina Viti, Jacob Ladenburg, Roland Löwe, Hjalte J.D. Sørup, Ursula S. McKnight, Karsten Arnbjerg-Nielsen

“…Nature-Based Solutions (NBS) are growing in popularity as approaches for, among others, the reduction of hydro-meteorological risks. …”
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Prediction of Spectral Response for Explosion Separation Based on DeepONet by Xiaoqi Chen, Zhanlong Qu, Yuxi Wang, Zihao Chen, Ganchao Chen, Xiao Kang, Ying Li

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Designing and Training of Interactive Multimedia Software based on Meyer's learning Theory and its effect on reading comprehension skill to Non-Persian Speakers by Mahboobeh Nemati, Zari Saeedi, Reza Morad Sahraie

“…The research hypothesis posited that there would be a significant difference in learning outcomes between learners who were taught using multimedia software and those who were taught using PDF files or lectures. …”
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