SFPFMformer: Short-Term Power Load Forecasting for Proxy Electricity Purchase Based on Feature Optimization and Multiscale Decomposition by Chengfei Qi, Yanli Feng, Junling Wan, Xinying Mao, Peisen Yuan

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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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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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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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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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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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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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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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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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Building a community of practice: shifting an M.Ed. program to a PDS school-based cohort model by Elizabeth Hale, Hope E. Wilson, Lauren Gibbs, Jessie Didier, Carolyne Ali-Khan

“…Findings – The findings indicate the design of this school-based M.Ed. program provided both social and academic benefits including strengthening teachers’ working relationships and their understanding of students outside their own classroom and a transfer from individual learning to organizational benefit. …”
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SmartPod: An Automated Framework for High-Precision Soybean Pod Counting in Field Phenotyping by Fei Liu, Shudong Wang, Shanchen Pang, Zhongzhi Han, Longgang Zhao

“…Accurate soybean pod counting remains a significant challenge in field-based phenotyping due to complex factors such as occlusion, dense distributions, and background interference. …”
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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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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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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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MonoDFNet: Monocular 3D Object Detection with Depth Fusion and Adaptive Optimization by Yuhan Gao, Peng Wang, Xiaoyan Li, Mengyu Sun, Ruohai Di, Liangliang Li, Wei Hong

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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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Acoustic Diagnosis of Rolling Bearings Fault of CR400 EMU Traction Motor Based on XWT and GoogleNet by Gang Yang, Yuqian Wei, HengKui Li

“…An intelligent fault diagnosis method based on Cross Wavelet Transform (XWT) and GoogleNet model is proposed in this paper. …”
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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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Regression-Based Docking System for Autonomous Mobile Robots Using a Monocular Camera and ArUco Markers by Jun Seok Oh, Min Young Kim

“…To address these challenges, we propose a regression-based method that learns geometric features from variations in marker size and shape to estimate distance and orientation accurately. …”
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An Explainable Multi-Model Stacked Classifier Approach for Predicting Hepatitis C Drug Candidates by Teuku Rizky Noviandy, Aga Maulana, Ghifari Maulana Idroes, Rivansyah Suhendra, Razief Perucha Fauzie Afidh, Rinaldi Idroes

“…Traditional high-throughput screening (HTS) methods are costly, time-consuming, and prone to false positives, underscoring the necessity for more efficient alternatives. …”
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