Teachers' perspectives on the application of technology in mathematics education in primary schools: A dataset from VietnamMendeley Data by Quoc Anh Vuong, Dien Thi Bui, Hue Thi Thu Dang, Anh Vinh Le, Duc Lan Do

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Online monitoring data processing methods for railway slopes and its application: A case study of the Shuohuang Railway by Mu GU

“…The effectiveness of system monitoring closely correlates with the data processing model. Taking the online monitoring system for slope deformation on the Shuohuang Railway as an example, this study focuses on three crucial aspects of data processing: data preprocessing, noise suppression, and deformation trend prediction. …”
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Surveillance for TB drug resistance using routine rapid diagnostic testing data: Methodological development and application in Brazil. by Sarah E Baum, Daniele M Pelissari, Fernanda Dockhorn Costa, Luiza O Harada, Mauro Sanchez, Patricia Bartholomay, Ted Cohen, Marcia C Castro, Nicolas A Menzies

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SUSCEPTIBLE VACCINATED INFECTED RECOVERED SUSCEPTIBLE MODEL: EQUILIBRIA POINTS AND APPLICATION ON COVID-19 CASE DATA IN INDONESIA by Purnami Widyaningsih, Anas Ivanni, Nughthoh Arfawi Kurdhi

“…Literature and applications are the research methodologies employed. …”
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Recruitment Techniques for LIS Internship Applicants of Color: Case Study of a Paid Medical Data Internship Program by Justin de la Cruz, Genevieve Milliken, Nicole Contaxis, Miguel Juárez, Peace Ossom

“…Results: Although the target group was a very small pool of Library and Information Science (LIS) BIPOC students interested in medical and data librarianship, we received applications from all United States (U.S.) racial groups, except Native Hawaiian or Other Pacific Islander. …”
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Comparative Analysis on Application of 240 V Direct Current Power Supply System and Modular UPS in Data Center by Yan Hu, Jieliang Lou

“…Some specific concerns regarding the application in data center were raised, such as load adaptability testing, redundancy allocation principle, and so on.…”
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Prediction of teaching quality in the context of smart education: application of multimodal data fusion and complex network topology structure by Chunzhong Li, Chenglan Liu, Wenliang Ju, Yuanquan Zhong, Yonghui Li

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Source Reconstruction of Atmospheric Releases by Bayesian Inference and the Backward Atmospheric Dispersion Model: An Application to ETEX-I Data by Yungang Zhao, Yuanyuan Liu, Li Wang, Jianping Cheng, Shilian Wang, Qi Li

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Proper conditional analysis in the presence of missing data: Application to large scale meta-analysis of tobacco use phenotypes. by Yu Jiang, Sai Chen, Daniel McGuire, Daniel McGuire, Fang Chen, Mengzhen Liu, William G Iacono, John K Hewitt, John E Hokanson, Kenneth Krauter, Markku Laakso, Kevin W Li, Sharon M Lutz, Matthew McGue, Anita Pandit, Gregory J M Zajac, Michael Boehnke, Goncalo R Abecasis, Scott I Vrieze, Xiaowei Zhan, Bibo Jiang, Dajiang J Liu

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The Application of a Marine Weather Data Reconstruction Model Based on Deep Super-Resolution in Ship Route Optimization by Shangfu Li, Junfu Yuan, Zhizheng Wu

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A methodology to compile multi-hazard interrelationships in a data-scarce setting: an application to the Kathmandu Valley, Nepal by H. E. Thompson, J. C. Gill, R. Šakić Trogrlić, F. E. Taylor, B. D. Malamud

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A comparative analysis of technical data: At-home vs. in-clinic application of transcranial direct current stimulation in depression by Ulrike Vogelmann, Matthias Stadler, Aldo Soldini, Kai-Yen Chang, Miaoxi Chen, Lucia Bulubas, Esther Dechantsreiter, Christian Plewnia, Andreas Fallgatter, Berthold Langguth, Claus Normann, Lukas Frase, Peter Zwanzger, Thomas Kammer, Carlos Schönfeldt-Lecuona, Daniel Kamp, Malek Bajbouj, Alexander Hunold, Severin Schramm, Josef Priller, Ulrich Palm, Leigh Charvet, Daniel Keeser, Gerrit Burkhardt, Frank Padberg

“…This study investigates tDCS quality based on its technical parameters as well as safety of at-home and in-clinic tDCS applications comparing the data from two randomized controlled trials in patients with major depressive disorder. …”
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Partial-norm-constrained sparse recovery algorithm and its application on single carrier underwater-acoustic-data telemetry by Feiyun WU, Kunde YANG, Feng TONG

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Retracted: Application of Swarm Intelligence Optimization Algorithm in Logistics Delivery Path Optimization under the Background of Big Data by Journal of Function Spaces

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Application of a data-driven XGBoost model for the prediction of COVID-19 in the USA: a time-series study by Wei Wu, Zheng-gang Fang, Shu-qin Yang, Cai-xia Lv, Shu-yi An

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Crosstalk Reduction Strategies on UCPW Transmission Lines Supported by Real Application Data: Experimental Analysis of Point Capacity by Suleyman Coskun, Merih Yildiz, Temel Sonmezocak

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A comprehensive review of methodologies and application to use the real-world data and analytics platform TriNetX by Ralf J. Ludwig, Ralf J. Ludwig, Ralf J. Ludwig, Matthew Anson, Matthew Anson, Henner Zirpel, Diamant Thaci, Henning Olbrich, Katja Bieber, Khalaf Kridin, Khalaf Kridin, Khalaf Kridin, Astrid Dempfle, Philip Curman, Philip Curman, Philip Curman, Philip Curman, Sizheng S. Zhao, Uazman Alam, Uazman Alam, Uazman Alam

“…TriNetX’s federated network architecture allows real-time, privacy-compliant data access, significantly enhancing the ability to conduct retrospective studies and refine clinical trial designs. …”
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DBSCAN and DBCV application to open medical records heterogeneous data for identifying clinically significant clusters of patients with neuroblastoma by Davide Chicco, Luca Oneto, Davide Cangelosi

“…In this study, we retrieved three open datasets containing data from patients diagnosed with neuroblastoma: the Genoa dataset and the Shanghai dataset from the Neuroblastoma Electronic Health Records Open Data Repository, and a dataset from the TARGET-NBL renowned program. …”
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GRACE-FO Satellite Data Preprocessing Based on Residual Iterative Correction and Its Application to Gravity Field Inversion by Shuhong Zhao, Lidan Li

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Application of SMOTE-ENN Method in Data Balancing for Classification of Diabetes Health Indicators with C4.5 Algorithm by Bakti Putra Pamungkas, Muhammad Jauhar Vikri, Ita Aristia Sa'ida

“…Data imbalance in health datasets often leads to decreased performance of classification models, especially in detecting minority classes such as diabetics. …”
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