Privacy protection scheme of DBSCAN clustering based on homomorphic encryption by Chunfu JIA, Ruiqi LI, Yafei WANG

“…In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.…”
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Privacy protection scheme of DBSCAN clustering based on homomorphic encryption by Chunfu JIA, Ruiqi LI, Yafei WANG

“…In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.…”
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Formation of glacier runoff on the northern slope of Tavan Bogd mountain massif based on stable isotopes data by D. V. Bantsev, D. A. Ganyushkin, K. V. Chistyakov, A. A. Ekaykin, I. V. Tokarev, I. V. Volkov

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Reproducibility assessment of magnetic resonance spectroscopy of pregenual anterior cingulate cortex across sessions and vendors via the cloud computing platform CloudBrain-MRS by Runhan Chen, Meijin Lin, Jianshu Chen, Liangjie Lin, Jiazheng Wang, Xiaoqing Li, Jianhua Wang, Xu Huang, Ling Qian, Shaoxing Liu, Yuan Long, Di Guo, Xiaobo Qu, Haiwei Han

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Evaluasi Kepuasan Pengguna Menggunakan Model End User Computing Satisfaction (EUCS) Pada Valery (Virtual Resources Library) Perpustakaan Universitas Bandar Lampung by Dhea Nabella Putry, Mezan el Khaeri Kesuma, Irva Yunita, Eni Amaliah

“…This study uses the mean and grand mean formulas for data analysis. Finally, the evaluation findings are presented on an interval scale. …”
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Comparative evaluation of deep learning architectures, including UNet, TransUNet, and MIST, for left atrium segmentation in cardiac computed tomography of congenital heart diseases by Seoyeong Yun, Jooyoung Choi

“…Purpose This study compares 3 deep learning models (UNet, TransUNet, and MIST) for left atrium (LA) segmentation of cardiac computed tomography (CT) images from patients with congenital heart disease (CHD). …”
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A micro-computed tomographic study using a novel test model to assess the filling ability and volumetric changes of bioceramic root repair materials by Fernanda Ferrari Esteves Torres, Jader Camilo Pinto, Gabriella Oliveira Figueira, Juliane Maria Guerreiro-Tanomaru, Mario Tanomaru-Filho

“…The statistical significance of differences in the data was evaluated using analysis of variance and the Tukey test with a 5% significance level.ResultsBio-C Repair had a greater filling ability than MTA HP (p < 0.05). …”
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Correlation and Agreement Between the SCORE2 and PREVENT 10-Year Atherosclerotic Cardiovascular Disease Risk Scores: Insights from Coronary Computed Tomography Angiography by Mehmet Emre Ozpelit, Ayse Colak, Hatice Irem Uzumcu, Zeynep Kumral, Ebru Ozpelit

“…<b>Background</b>: We aimed to evaluate the correlation and agreement between the Systemic Coronary Risk Estimation 2 (SCORE2) and Predicting Risk of CVD EVENTs (PREVENT) 10-year ASCVD risk scores by incorporating computed tomographic (CT) data to assess differences between the scoring systems. …”
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Interactive Computer-Adaptive Chronic Kidney Disease (I-C-CKD) Education for Hospitalized African American Patients: Protocol for a Randomized Controlled Trial by Akilah King, Tayo Omoniyi, Lindsay Zasadzinski, Cynthia Gaspard, Denesha Gorman, Milda Saunders

“…This includes 50 patients in the control group and 46 patients in the intervention group. Data analysis has not occurred. ConclusionsAfrican American individuals often receive less patient education about self-care and treatment options for CKD. …”
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Non-standard pipeline without MRI has replicability in computation of Centiloid scale values for PiB and 18F-labeled amyloid PET tracers by Motonobu Fujishima, Hiroshi Matsuda

“…., in 2018 calculates Centiloid scale values that are highly consistent with those computed using the standard pipeline. The purpose of this study was to demonstrate that the non-standard pipeline can compute Centiloid scale values in high agreement with the standard pipeline when using different datasets of amyloid PET tracers in our local computer environment.PET images of 11C-Pittsburgh compound B (11C-PiB), 18F-florbetapir, 18F-flutemetamol, 18F-florbetaben, and 18F-NAV4694 from the calibration dataset were processed using both the standard and non-standard pipelines, and the computed cortical standardized uptake value ratio (SUVr) value was converted to the Centiloid scale value using the method described by Klunk et al., in 2015. …”
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Does computed tomography angiography for the Adamkiewicz artery add value over standard scanning in thoracic endovascular aortic repair planning?Central MessagePerspective by Tatsuya Nishii, MD, PhD, Hiroki Horinouchi, MD, PhD, Akiyuki Kotoku, MD, PhD, Yojiro Koda, MD, PhD, Rina Sakai, RT, Yuna Okura, RT, Tomoro Morikawa, MD, Yasutoshi Ohta, MD, PhD, Hitoshi Matsuda, MD, PhD, Tetsuya Fukuda, MD, PhD

“…We evaluated changes in TEVAR planning and SCI risk scores on the basis of the additional AKA-CTA data and conducted a multivariate logistic analysis to identify predictors of these changes. …”
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Development of policy research-evidence organizer and public health-policy evaluation tool (prophet): a computing paradigm for promoting evidence-informed policymaking in Nigeria by Kingsley Otubo Igboji, Chigozie Jesse Uneke, Fergus U. Onu, Onyedikachi Chukwu

“…Aggregated scores of policy features across all domains are utilized to compute policy overall grade-point in percentage weight.…”
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Physics-based Simulation of the 2013 April 11 Solar Energetic Particle Event by Weihao Liu, Igor V. Sokolov, Lulu Zhao, Tamas I. Gombosi, Nishtha Sachdeva, Xiaohang Chen, Gábor Tóth, David Lario, Ward B. Manchester IV, Kathryn Whitman, Christina M. S. Cohen, Alessandro Bruno, M. Leila Mays, Hazel M. Bain

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The demographic situation in Penza region under the reforms of the administrative-territorial division in the 1920–1930s by Ya.V. Tereshchenko

“…The implementation of the tasks of the study was achieved by processing and systematic analysis of materials from the gen-eral censuses of 1897, 1926, and 1939, a collection of legalizations and orders of the RSFSR, comparison of statistical data and cartographic sources. …”

Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…In this study, advanced compositional models were developed using a broad range of machine learning (ML) techniques to predict Rs efficiently and reliably. …”
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COMSUC: A web server for the identification of consensus molecular subtypes of cancer based on multiple methods and multi-omics data. by Song He, Xinyu Song, Xiaoxi Yang, Jijun Yu, Yuqi Wen, Lianlian Wu, Bowei Yan, Jiannan Feng, Xiaochen Bo

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CURRENT STATE OF POPULATION OF GAME MAMMALS HABITING SHELKOVSKOY DISTRICT OF CHECHNYA AND WAYS FOR OPTIMIZATION by A. M. Batkhiyev, H. S. Yandakrhanov

“…The goal of the research is that: to identify the taxonomic composition of game species and make full list of species to assess the current state of populations and resources to carry out eco-faunistic analysis of the distribution of game mammals habiting Shelkovskiy district of Chechnya. …”
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INTEGRATING MULTI-SCALE DATA FOR THE ASSESSMENT OF WATER AVAILABILITY AND QUALITY IN THE KHARAA - ORKHON - SELENGA RIVER SYSTEM by Daniel Karthe, Nikolay S. Kasimov, Sergey R. Chalov, Galina L. Shinkareva, Marcus Malsy, Lucas Menzel, Philipp Theuring, Melanie Hartwig, Christian Schweitzer, Jürgen Hofmann, Jörg Priess, Mikhail Lychagin

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Algorithms for Multispectral and Hyperspectral Image Analysis by Heesung Kwon, Xiaofei Hu, James Theiler, Alina Zare, Prudhvi Gurram

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Optimized Time Series Feature Selection for Manufacturing AI: Reducing Complexity and Improving Classification Accuracy by Jaeseok Jang, Chanyoung Jung, Hail Jung

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