Avaliação do conforto térmico no aprendizado: estudo de caso sobre influência na atenção e memória Evaluation of thermal comfort in learning: study case about the influence in atte... by Eduardo Concepción Batiz, Jean Goedert, Junir Junior Morsch, Pedro Kasmirski Junior, Rafael Venske

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STUDY ON THE IMPLEMENTATION OF COMMUNITY-BASED INSTRUCTION IN GRADE 2 NATURAL AND SOCIAL SCIENCES IN BINH CHANH DISTRICT, HO CHI MINH CITY by Nguyen Minh Giang*, Nguyen Ho Kim Ngan

“…The analysis results indicate that most teachers have a correct understanding of and a positive attitude toward this method. They also highly appreciate its feasibility and effectiveness when applied to the Natural and Social Sciences. …”
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Investigating the impact of social media images on users' sentiments towards sociopolitical events based on deep artificial intelligence. by Nafiseh Jabbari Tofighi, Reda Alhajj

“…Using advanced machine learning and deep learning methods for sentiment analysis, textual data were classified to determine the expressed sentiments. …”
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Mindfulness based intervention with an attentional comparison group in at risk young adolescents: a pilot randomized controlled trial by Kristen E. Rawlett, Erika Friedmann, Sue A. Thomas

“…Although preliminary, mindfulness based interventions may contribute to positive affect among at-risk youth in a boarding school. …”
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Evaluation of PhenoMATRIX® PLUS for the culture-based rectal screening of CPOs, ESBL-E, Acinetobacter, and VRE carriage by Abdessalam Cherkaoui, Gesuele Renzi, Mireille Tittel-Elmer, Jacques Schrenzel, Jacques Schrenzel

“…Screening for MDROs can encompass various phenotypic and genotypic approaches. Recently, culture-based MDROs screening has substantially benefitted from laboratory automation and artificial intelligence.ObjectivesTo evaluate the performance of PhenoMATRIX® PLUS for an institution-wide culture-based rectal screening for CPOs, ESBL-E, Acinetobacter, and VRE carriage.MethodsThe number of non-duplicated rectal Eswabs specimens used to generate culture plate images for the PhenoMATRIX® PLUS machine learning phase amounted to 2′900 for chromID™ ESBL agar, 2′403 for chromID™ OXA-48 agar, 2′031 for CHROMagar™ Acinetobacter agar, and 9′333 for chromID™ VRE agar. …”
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Effects of a school-based physical activity intervention on children with intellectual disability: a cluster randomized trial by Michael Noetel, Taren Sanders, Danielle Tracey, David R. Lubans, Viviene A. Temple, Andrew Bennie, James Conigrave, Mark Babic, Bridget Booker, Rebecca Pagano, James Boyer, Chris Lonsdale

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Increasing uptake of self-management education programmes for type 2 diabetes in primary care: the Embedding research programme including an RCT by Melanie J Davies, Shona Agarwal, Danielle H Bodicoat, Alan Brennan, Simon Dixon, Helen Eborall, Agnieszka Glab, Laura J Gray, Michelle Hadjiconstantinou, Lisa Huddlestone, Nicky Hudson, Anju Keetharuth, Kamlesh Khunti, Caroline Kristunas, Graham Martin, Alison Northern, Mike Patterson, Daniel Pollard, Rebecca Pritchard, Sally Schreder, Jane Speight, Bernie Stribling, Jackie Sturt, Jess Turner, Christina Weis

“…The multifaceted Embedding Package was then designed by a specialist education team based on this list. Workstream 2: feasibility study A single-arm, mixed-methods feasibility study in six practices across two Clinical Commissioning Groups (CCGs; East Midlands) piloted two patient recruitment approaches, data collection methods and intervention delivery in three participant groups: patients, practice staff, staff in SSME providers. …”
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Formation of Skills of Self-Organization in Study of Foreign Language Phonetics by O. G. Shevchenko

“…The novelty of the study is the innovative methods of teaching pronunciation, allowing to master foreign language pronunciation by oneself on the authentic material in contrast to the traditional, classical approach, where phonetics was based only on simulation models and learning conversations. …”
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Associations between exposure to heavy metal and sarcopenia prevalence: a cross-sectional study using NHANES data by Yingying Zhang, Qianbing Li, Xiangfei Wang

“…SHAP analysis revealed that TL, SN, and CS negatively influenced the prediction of sarcopenia, while CD positively contributed to it. Additionally, le8 BMI was the covariate that had the most significant positive impact on the prediction of sarcopenia in our model.ConclusionFor the first time, we have developed a machine learning (ML) model to predict sarcopenia based on indicators of heavy metal exposure. …”
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Behavioral Motivation and Influencing Factors of Graduate Students Using AIGC Tool: An Empirical Analysis Based on Questionnaire Survey by Yijia WAN, Liping GU

“…[Method/Process] Based on the UTAUT2 model, considering related theories such as perceived value and the characteristics of AIGC tool and graduate student group, this study constructed the influencing factor model of graduate students' AIGC tool use behavior, and provided empirical evidence through questionnaire survey and structural equation model analysis. …”
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Interpretable XGBoost model identifies idiopathic central precocious puberty in girls using four clinical and imaging features by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

“…Results Four essential characteristic parameters, namely uterine volume, bone age/chronological age (BA/CA), basal follicle-stimulating hormone (FSH), and basal luteinizing hormone (LH), were selected using the LASSO method. Based on these characteristic parameters, the LR and five machine learning models achieved AUC values ranging from 0.72 to 0.96 in the training set and AUC values ranging from 0.65 to 0.90 in the validation set for diagnosing ICPP. …”
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CHARACTER EDUCATION ASSISTANCE FOR AUTISM AT THE NON-PROFIT FOUNDATION by Risma Fahrul Amin, Syaiful Ma'ruf

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A novel deep high-level concept-mining jointing hashing model for unsupervised cross-modal retrieval by Chun-Ru Dong, Jun-Yan Zhang, Feng Zhang, Qiang Hua, Dachuan Xu

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Intelligent recognition algorithm and application of coal mine overhead passenger device based on multiscale feature fusion by Beijing XIE, Heng LI, Hang DONG, Zheng LUAN, Ben ZHANG, Xiaoxu LI

“…The proposed algorithm can meet the requirements of practical inspection scenarios and provide a feasible method for accurate recognition of cmopd with different passenger-carrying statuses. …”
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Preoperative assessment of tertiary lymphoid structures in stage I lung adenocarcinoma using CT radiomics: a multicenter retrospective cohort study by Xiaojiang Zhao, Yuhang Wang, Mengli Xue, Yun Ding, Han Zhang, Kai Wang, Jie Ren, Xin Li, Meilin Xu, Jun Lv, Zixiao Wang, Daqiang Sun

“…Tumor segmentation was achieved using an automatic virtual adversarial training segmentation algorithm based on a three-dimensional U-shape convolutional neural network (3D U-Net). …”
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Evaluating GRU Algorithm and Double Moving Average for Predicting USDT Prices: A Case Study 2017-2024 by Rahmat Rizky, Munirul ula, Zara Yunizar

“…GRU, a deep learning-based recurrent neural network, processes sequential data using a gating mechanism, making it effective for capturing short-term price dynamics. …”
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Exploring the Reliability and Accessibility of Youtube for Cerebral Palsy Rehabilitation Information by Erkan Özduran, Volkan Hancı

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Analisis Pengalaman Pengguna Learning Management System (LMS) "ELING" Menggunakan Metode Ux Curve (Studi Kasus Mahasiswa Program Studi Sistem Informasi Fakultas Ilmiu Komputer Uni... by Muhammad Haris Setiawan, Hanifah Muslimah Az-Zahra, Retno Indah Rokhmawati

“…Abstract Since 2021, the lectures at the Faculty of Computer Science Universitas Brawijaya (Filkom UB) has been supported by a Moodle-based Learning Management System (LMS) named Eling (eling.ub.ac.id). …”
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How is Kamishibai are able to Construct Students' Environment Literacy? by Irvan Permana, Annisa Nurramadhani, Najla Nurul Amalia

“…The purpose of this study is to analyze how students' environmental literacy in STEM-based learning with Kamishibai learning media. The method that is used is Qualitative study. …”
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Utilizing Soft Computing Techniques to Estimate the Axial Permanent Deformation of Asphalt Concrete by Amjad H. Albayati, Yazeed S. Jweihan, Mazen J. Al-Kheetan

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