Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications by Sulaiman Mohammed Alnasser

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Through thick and thin: data commons, community and the struggle for collective data governance by Tommaso Fia, Gijs van Maanen

“…Yet, far less attention has been paid to the meaning, features and implications that the language of community can have for data commons. …”
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Data Quirks and Impressions by Harrison Smith, David Beer

“…He is the author of seven books and dozens of articles that encompass the culture and politics of new media, data, and technology. His most recent works have focused specifically on the implications of data analytics industries and the social power of metrics to govern everyday life. …”
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Determination of Effective Criteria for Mobile Application Selection and Sample Application by Buse Uslu, Şeyda Gür, Tamer Eren, Evrencan Özcan

“…TURKSTAT data show that the number of users and subscribers is increasing with each passing year and that the need for mobile applications will increase in importance. …”
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Optimizing Customer Data Security in Water Meter Data Management Based on RESTful API and Data Encryption Using AES-256 Algorithm by Syahrul Adrianto, Bambang Agus Herlambang, Ramadhan Renaldy

“…This research aims to develop a web application-based information system to manage customer water meter data at a regional water company in Semarang. …”
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Multi-replica provable data possession scheme supporting data dynamic updating by Long CHEN, Yu-zhu LUO

“…Considering the application demand of multiple replicas data security and data dynamic update,a multi-replica provable data possession scheme was proposed to supporting data dynamic updating.The original data file can be dynamically updated using dynamic verification structure.The other multiple-replica data files are just append with a log-record for each dynamic update operation.The multi-replica files support public auditability and batch verification.If the original data or any replica is corrupted or missing,it can be recovered to the latest status with another copy.The performances of the communication and storage as well as the security are analyzed.The results show that the scheme is efficient and secure.…”
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Data Deidentification for Data Sharing in Education and Psychological Research: Importance, Barriers, and Techniques by Jeffrey. A. Shero, Alexis E. Swanz, Allyson L. Hanson, Sara A. Hart, Jessica A. R. Logan

“…In this article we discuss the importance of data sharing in education and psychological research, emphasizing the historical context of data sharing, the current open-science movement, and the so-called replication crisis. …”
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Applicability of Anisotropic Failure Criteria and Associated Application with Layered Rocks by Wenxue Deng, Tianhong Yang, Honglei Liu, Feiyue Liu, HongLiang Xu

“…This paper examines the applicability of four failure criteria applied to layered rocks, namely, Pariseau’s model, linear empirical equation, nonlinear empirical equation (LEE and NLEE), and Jaeger’s plane-of-weakness model (JPW). …”
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Landslide susceptibility assessment in scarce-data regions using remote sensing data by Edier Vicente Aristizábal-Giraldo, Diana Ruiz-Vásquez

“…This study presents the application of remote sensing data and a logistic regression model to assess landslide susceptibility in a basin on a remote terrain in the northern Colombian Andes, where a rainstorm on May 18th, 2015, triggered more than 40 landslides and an associated debris flow afterwards. …”
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Exploring the effects of journal article features: Implications for automated prediction of scholarly impact by Abramo Giovanni, D’Angelo Ciriaco Andrea, Grilli Leonardo

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Research on Strengthen the Development and Utilization of Geospatial Data to Release the Value of Data Elements by H. Li, H. Li, H. Li, H. Li, W. Huang, Y. Xu, W. Zhao, X. Zheng, J. Yang

“…On the other hand, it is necessary to deepen the application and innovation of geospatial data to enhance the security of geospatial data. …”
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Development of a data utility framework to support effective health data curation by Neil Sebire, Monica Jones, Caroline Cake, Ben Gordon, Jake Barrett, Clara Fennessy, Adam Milward, Courtney Irwin

“…It is likely to require further refinement following wider application and additional categories may be required.Conclusion The process has resulted in a user-centred designed framework for objectively evaluating the likely utility of specific healthcare datasets, and therefore, should be of value both for potential users of health data, and for data custodians to identify the areas to provide the optimal value for data curation investment.…”
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Research on data management technology of shearer based on protocol matching and data compression by Zhongbin WANG, Dong WEI, Lei SI, Chaoquan LIANG, Chao TAN, Yihui ZHAO

“…The application effect of shearer remote monitoring system is seriously affected by the suitability of the communication protocol and the capacities for the transmission and storage of the monitoring data. …”
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Application of Enhanced Weighted Least Squares with Dark Background Image Fusion for Inhomogeneity Noise Removal in Brain Tumor Hyperspectral Images by Jiayue Yan, Chenglong Tao, Yuan Wang, Jian Du, Meijie Qi, Zhoufeng Zhang, Bingliang Hu

“…The inhomogeneity of spectral pixel response is an unavoidable phenomenon in hyperspectral imaging, which is mainly manifested by the existence of inhomogeneity banding noise in the acquired hyperspectral data. It must be carried out to get rid of this type of striped noise since it is frequently uneven and densely distributed, which negatively impacts data processing and application. …”
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A New Logistic Distribution and Its Properties, Applications and PORT-VaR Analysis for Extreme Financial Claims by Piotr Sulewski, Morad Alizadeh, Jondeep Das, Gholamhossein G. Hamedani, Partha Jyoti Hazarika, Javier E. Contreras-Reyes, Haitham M. Yousof

“…These risk indicators are applied to analyze actuarial financial claims data, providing a robust framework for assessing financial stability and decision-making in the face of uncertainty.…”
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Using routine surveillance data to estimate the epidemic potential of emerging zoonoses: application to the emergence of US swine origin influenza A H3N2v virus. by Simon Cauchemez, Scott Epperson, Matthew Biggerstaff, David Swerdlow, Lyn Finelli, Neil M Ferguson

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Correction: Rosero-Montalvo et al. A New Data-Preprocessing-Related Taxonomy of Sensors for IoT Applications. <i>Information</i> 2022, <i>13</i>, 241 by Paul D. Rosero-Montalvo, Vivian F. López-Batista, Diego H. Peluffo-Ordóñez

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Application of deep learning reconstruction combined with time-resolved post-processing method to improve image quality in CTA derived from low-dose cerebral CT perfusion data by Jiajing Tong, Tong Su, Yu Chen, Xiaobo Zhang, Ming Yao, Yanling Wang, Haozhe Liu, Min Xu, Jian Wang, Zhengyu Jin

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Development of a Clinically Applicable Deep Learning System Based on Sparse Training Data to Accurately Detect Acute Intracranial Hemorrhage from Non-enhanced Head Computed Tomography by Huan-Chih WANG, Shao-Chung WANG, Furen XIAO, Ue-Cheung HO, Chiao-Hua LEE, Jiun-Lin YAN, Ya-Fang CHEN, Li-Wei KO

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Quantitative ¹H and ¹³C NMR and Chemometric Assessment of ¹³C NMR Data: Application to Anabolic Steroid Formulations by Stéphane Balayssac, Gaëtan Assemat, Saïda Danoun, Myriam Malet-Martino, Véronique Gilard

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