Selection of features for modeling the risk of fatal outcomes in patients after myocardial infarction or unstable angina by D. A. Shvets, S. V. Povetkin

“…To identify main predictors of fatal outcome based on the regional database of patients with myocardial infarction (MI) or unstable angina (UA).Material and methods. …”
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Research on sentiment index and real estate demand forecasting based on BERT-BiLSTM and ADL-MIDAS models by Mengkai Chen, Jun Wang, Feilong Zhao, Gaopeng Jiang

“…This model accurately extracts positive, neutral, and negative sentiment features to build a high-frequency sentiment index. …”
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Usefulness of Radiomics and Kidney Volume Based on Non-Enhanced Computed Tomography in Chronic Kidney Disease: Initial Report by Piotr Białek, Adam Dobek, Krzysztof Falenta, Ilona Kurnatowska, Ludomir Stefańczyk

“…The KV-based models achieved the best area under the curve (AUC) of 0.746, whereas the RDX-based models achieved the best AUC of 0.878. …”
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Implementation of Module Based on Predict-Observe-Explain (POE) Integrated with Ethnoscience: Analysis of Relationship with Students' Concept Understanding by Selina Damayanti, Boby Syefrinando, Fibrika Rahmat Basuki, Sereima Baleisomi Takiveikata, Saprolla Rollie C Deporos

“…The t-test results showed a significant increase in student learning outcomes, where the average pre-test score of 65.4 increased to 85.7 after learning (p < 0.05). …”
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PENGEMBANGAN HANDBOOK STRATEGI PEMBELAJARAN INOVATIF UNTUK MENINGKATKAN KOMPETENSI GURU HOMESCHOOLING DI KOTA BANDUNG [THE DEVELOPMENT OF AN INNOVATIVE LEARNING STRATEGY HANDBOOK T... by Edsel Jeremy, Yonathan Winardi

“…Tahap Design berfokus pada perancangan struktur dan konten handbook, yang mencakup materi "Mengenal Homeschooling" dan "Strategi Pembelajaran Inovatif" (pembelajaran personalisasi, project-based learning, inquiry-based learning, dan integrasi teknologi). …”
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Automated interpretation of PD-L1 CPS based on multi-AI models integration strategy in gastric cancer by Ting Han, Meng Zhuo, Ziyu Song, Peilin Chen, Shiting Chen, Wei Zhang, Yuanyuan Zhou, Hong Li, Dadong Zhang, Xiaolin Lin, Zebing Liu, Xiuying Xiao

“…To address this limitation, we developed a deep learning-based artificial intelligence (AI) system that automates PD-L1 CPS quantification for patients with gastric cancer (GC) using whole slide images (WSIs).MethodsWe developed a deep learning-based artificial intelligence (AI) system that automates PD-L1 CPS quantification for patients with gastric cancer (GC) using whole slide images (WSIs). …”
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What social media analyses can tell us about Ghanaian women's concerns during pregnancy by Martina Anto-Ocrah, Martina Anto-Ocrah, Tori Valachovic, Joseph W. Lanning, Ali Ghanem, Claire Couturier, Claire Couturier, Celestin Hakizimana, Celestin Niyomugabo, Nabeeha Jabir Affan, Hemika Vempalli, Ruth Sally Kodam

“…In this study, we analyzed how pregnant women in Ghana, West Africa, utilize Facebook to inform decision-making on their most salient pregnancy concerns.MethodsWe utilized machine learning techniques (Web Scraping and Latent Dirichlet Allocation) to mine and analyze posts from the Ghana-based MidWife Sally Pregnancy School Facebook group between August 16, 2020 and April 29, 2023. …”
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Student Reactions to Just-in-Time Formative and Summative Feedback in a Tablet-Based Family Medicine MCQ Exam by Johanna Klutmann, Constanze Dietzsch, Philip Vogt, Nadine Wolf, Melanie Caspar, Sara Volz-Willems, Johannes Jäger, Fabian Dupont

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News Sentiment and the Risk of a Stock Price Crash Risk: Based on Financial Dictionary Combined BERT-DCA by Shuyi Li, Junhao Kong

“…This study combines a financial knowledge dictionary and pretraining method based on BERT (Bidirectional Encoder Representation from Transformers) to construct a deep learning model for identifying stock news sentiments. …”
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Evaluating the Integration of Technology by Teachers in E-Education in Elementary Schools Based on the International Standards for Technology in Education (ISTE) by Maryam Pourjamshidi

“…Based on the findings, it can be concluded that primary school teachers employ strategies related to technology integration dimensions and indicators in an integrated manner within the e-education context, aligning with global standards for technology integration in the teaching-learning process. …”
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MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection by Jun Liu, Haolin Li, Hao Liu, Jiuzhen Liang

“…Therefore, this paper proposes a textile defect detection method called MED-AGNet. Firstly, based on the diffusion model, a mask-embedding data augmentation method, MEDiffusion, is proposed. …”
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Factors influencing implementing inclusive education in Chris Hani East district, South Africa by Thanduxolo Nomtshongwana, Manyakaza Aviwe, Buka Andria Mqondiso

“…Mentorship programmes and regular workshops can enhance teacher support. A positive school culture, peer support, and social-emotional learning programmes can help reduce bullying and isolation. …”
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Resource-Exploration-Oriented Lunar Rocks Monocular Detection and 3D Pose Estimation by Jiayu Suo, Hongfeng Long, Yuebo Ma, Yuhao Zhang, Zhen Liang, Chuan Yan, Rujin Zhao

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UX-MAPPER: An automated approach to analyze app store reviews with a focus on UX by Walter T. Nakamura, Edson C. C. de Oliveira, Elaine H. T. de Oliveira, Tayana Conte

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The effect of teaching props on the mathematical problem-solving skills: A meta-analysis study by Sri Adi Widodo, Yuyun Novita Sari, Shakespear Maliketi Chiphambo, Nelly Fitriani, Fitria Sulistyowati, Wasilatul Murtafiah, Deri Fadly Pratama

“…This research indicates a significant and positive influence between teaching props and students' problem-solving skills, especially in mathematical learning. …”
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Predicting communities with high tuberculosis case-finding efficiency to optimise resource allocation in Pakistan: comparing the performance of a negative binomial spatial lag mode... by Hasan Tahir, Frank Cobelens, Christina Mergenthaler, Mirjam I Bakker, Tanveer Ahmed, Jake D Mathewson, Daniella Brals, Abdullah Latif, Stephanie Lako, Andreas Werle van der Merwe, Matthys Potgieter, Vincent Meurrens, Zia Samad, Ente Rood

“…The aim of this study was to cross-validate TB positivity rate predictions in ACF settings of an existing Bayesian machine learning (BML) with a simpler frequentist model.Methods We conducted a retrospective analysis of cross-sectional data to identify predictors for detection of bacteriologically confirmed TB cases during ACF events in Pakistan. …”
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MSTT: A Multi-Spatio-Temporal Graph Attention Model for Pedestrian Trajectory Prediction by Qingrui Zhang, Xuxiu Zhang, Zilang Ye, Jing Mi

“…Additionally, an attention-based MSTT model has been developed, which utilizes an end-to-end approach for learning the structure of the MSTG. …”
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Accurate bladder cancer diagnosis using ensemble deep leaning by Rana A. El-Atier, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

“…In fact, the used voting method depends on using majority voting based on two different scenarios according to the results of CNN, GAN, and XDL. …”
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Applying the practical, robust, implementation and sustainability model (PRISM) to a community-based youth participatory action research program by Nicholas Szoko, Tyia K. Wilson, Ebonie Slade, Ti’yanna Risher, Marquise Wheeler, Elizabeth Miller, Alison J. Culyba

“…Our goal was to use the Practical, Robust, Implementation & Sustainability Model (PRISM) to evaluate a multisite community-based YPAR program. Methods We identified three community sites to implement Youth Leadership in Action (YLIA+), an eight session YPAR intervention. …”
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The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach by Jianqing Qiu, Ting Zhu, Ke Qin, Wei Zhang

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