Possibilities to improve accuracy of contact measurements by using corundum tips and video recording of contact area by E. V. Leun, A. E. Shakhanov, A. V. Nickel

“…The article deals with the basics of a new approach to contact measurements of the size of products with the possibility of compensation of contact elastic deformations due to the measurement of the size of the contact zone and determine its center. The combined use of corundum measuring tips and a built-in measuring microscope allows this to be achieved by video recording of the contact area. …”
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SECURITY ASSESSMENT OF MOODLE-BASED DISTANCE LEARNING SYSTEM COMPONENTS USING STATIC ANALYSIS TOOLS by Vladislav K. Kuchmin, Grigory O. Krylov

“…The article presents a methodological approach to assessing the security of software components within the Moodle-based distance learning system using automated static source code analysis methods. …”
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Managing Cracked Teeth with Root Extension: A Prospective Preliminary Study Using Biodentine™ Material by Kênia Maria Soares de Toubes, Isabella Sousa Corrêa, Regina Célia Lopes Valadares, Stephanie Quadros Tonelli, Fábio Fernandes Borém Bruzinga, Frank Ferreira Silveira

“…The treatment protocol included pulp diagnosis, crack identification using a dental operating microscope (DOM), endodontic treatment, placing a Biodentine™ as an intraorifice barrier, and immediate full-coverage restoration. …”
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Spatial inference of Culex pipiens abundance and biting activity distribution in the Netherlands using citizen science by Ayat Abourashed, Catuxa Cerecedo-Iglesias, Martha Dellar, John R. B. Palmer, Frederic Bartumeus

“…Methods Our study utilized data from the Mosquito Alert mobile app to model the spatial distribution and abundance of Cx. pipiens and mosquito bites during the summer of 2021 in the Netherlands. Using generalized linear mixed models, climatic and non-climatic factors were analyzed to create two distribution models of adult Cx. pipiens and mosquito bites as outcomes. …”
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Connectivity Mapping for Candidate Therapeutics Identification Using Next Generation Sequencing RNA-Seq Data. by Darragh G McArt, Philip D Dunne, Jaine K Blayney, Manuel Salto-Tellez, Sandra Van Schaeybroeck, Peter W Hamilton, Shu-Dong Zhang

“…The advent of next generation sequencing technologies (NGS) has expanded the area of genomic research, offering high coverage and increased sensitivity over older microarray platforms. …”
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Adsorptive removal of fluoride from water using hydroxyapatite synthesized from marine shell waste by Shantanu Singh, Gokulakrishnan Murugesan, Ramesh Vinayagam, Thivaharan Varadavenkatesan, Raja Selvaraj

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Morocco investment case for hepatitis C: using analysis to drive the translation of political commitment to action by Robert Hecht, Miloud Kaddar, Stephen Resch, Jean Luc El Kaim, Chase Perfect, Mustapha Sodqi, Hakima Himmich, Lindsey Hiebert

“…Our experience shows how the investment case method we followed can be used to drive decisions on HCV elimination in favor of more efficient and equitable use of resources.…”
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Landslide Risk Assessment along Roads by Using Radar-driven Land Deformation and Rainfall Data by Y. Ishii, J. Susaki, A. Kurihara, T. Oba, K. Yamaguchi, Y. Miyazaki, K. Kishida

“…There are problems that the operation of the traffic regulation tends to be redundant in terms of temporal duration and spatial coverage. In this paper, to consider the effect of topography and land deformation and resolve the problems of redundant traffic regulation, we attempted to predict the land deformation using spatio-temporal statistical models whose objective variable was deformation estimated PSInSAR and explanatory variables were accumulated rainfall and maximum gradient angle. …”
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Applying Multi-Task Deep Learning Methods in Electricity Load Forecasting Using Meteorological Factors by Kai-Bin Huang, Tian-Shyug Lee, Jonathan Lee, Jy-Ping Wu, Leemen Lee, Hsiu-Mei Lee

“…This study diverges from previous research by employing multi-task deep learning techniques to develop a predictive model for electricity load in commercial buildings, incorporating auxiliary tasks such as temperature and cloud coverage. Using real data from a commercial building in Taiwan, this study explores the effects of varying batch sizes (100, 125, 150, and 200) on the model’s performance. …”
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Mapping urban green structures using object-based analysis of satellite imagery: A review by Shivesh Kishore Karan, Bjørn Tobias Borchsenius, Misganu Debella-Gilo, Jonathan Rizzi

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Improving Monitoring of Indoor RF-EMF Exposure Using IoT-Embedded Sensors and Kriging Techniques by Randa Jabeur, Alaa Alaerjan

“…Using the spherical model, we constructed a high-resolution coverage map for the entire corridor, showcasing the effectiveness of our approach.…”
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Secure and Lightweight Cipher for Resource-constrained IoT Healthcare Applications using Snake Key Generation by Saja Kareem Ismael, Mohamed Ibrahim Shujaa, Ahmed Bahaaulddin A. Alwahhab

“…This study explores the use of advanced cryptographic techniques to secure IoT healthcare systems, particularly through block chain (BC) technology. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…Abstract This study uses advanced deep learning techniques to present an efficient and data-driven method for predicting the Hydrocarbon Reservoir Quality Index (HRQI) in deepwater carbonate systems. …”
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Archaeological Reconnaissance in Tarbagatai (East Kazakhstan) Using Satellite Imagery Data: methodology and results of research by Andrey A. Pushkarev

“…The search was conducted systematically using a specially designed grid, ensuring comprehensive coverage of the area. …”
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Land Cover Change Detection in Iraq Using SVM Classification: A Remote Sensing Approach by ‪Rasha Abbas Ali, Mahdi Nasif Jasim

“…Land Cover and Land Use studies play an important role in regional socioeconomic development and natural resource management. …”
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Modeling Spatial Distribution of Snow Water Equivalent Using Transfer Learning Across Mountainous Basins by Lama El Halabi, Utkarsh Mital, Dipankar Dwivedi

“…High operational costs of lidar observations limit the frequency and coverage of SWE estimates at high spatial resolutions, leading to significant data gaps. …”
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Using Machine Learning and Nationwide Population-Based Data to Unravel Predictors of Treated Depression in Farmers by Pascal Petit, Vincent Bonneterre, Nicolas Vuillerme

“…However, most studies examining depression risk in farmers are limited by small sample sizes, narrow geographic coverage, and a focus predominantly on male farmers and general agricultural contexts. …”
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Determination of the actual accuracy of GNSS positioning using a total station for monitoring landslide processes by V.V. Korobiichuk, D.V. Mitchenko

“…The aim of the study is to determine the actual accuracy of GNSS positioning using a total station in existing landslide zones. …”
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Detection of Marine Oil Spill from PlanetScope Images Using CNN and Transformer Models by Jonggu Kang, Chansu Yang, Jonghyuk Yi, Yangwon Lee

“…While oil spill detection has traditionally relied on synthetic aperture radar (SAR) images, the combined use of optical satellite sensors alongside SAR can significantly enhance monitoring capabilities, providing improved spatial and temporal coverage. …”
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Reducing the Mutual Coupling of Cylindrical Circular Microstrip Antennas (CCMAs) Array Using EBG Structure by Nabeel Abbas Areebi

“…Conformal antennas have some advantages such as a wider-angle coverage compared to flat antennas and low radar cross-sectional (RCS) and they are suitable for using in Radome. …”
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