Improved Private Data Protection Scheme for Blockchain Smart Contracts by Sheng Hu

“…Data security and privacy protection are critical challenges that constrain the advancement of edge computing. …”
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CBID: A Scalable Method for Distributed Data Aggregation in WSNs by Aristides Mpitziopoulos, Damianos Gavalas, Charalampos Konstantopoulos, Grammati Pantziou

“…Mobile Agent (MA) technology has been recently proposed in Wireless Sensors Networks (WSNs) literature to answer the scalability problem of client/server model in data fusion applications. Herein we present CBID, a novel algorithm that calculates near-optimal routes for MAs that incrementally fuse the data as they visit the Sensor Nodes (SNs) while also enabling fast updates on the designed itineraries upon changes of network topology. …”
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Decentralized Ledger Journalism: An Uninvestigated Frontier of Data-Driven Reporting by Alexandra G. Shilina

“…Proposes are offered Decentralized Ledger Journalism (DLJ) as a distinct and timely subfield within data journalism, emerging at the intersection of technological innovation and investigative practice. …”
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Primary headache and myofascial pain: a data based study by Raul Elton Araújo Borges, Priscila Brenner Hilgenberg Sydney, Angelo Giuseppe Roncalli, Paulo César Rodrigues Conti, Patrícia dos Santos Calderon

“…The primary diagnostic categories of headache and myofascial pain were recorded. Data analyses were carried out by Pearson Chi-square and Logistic Regression, with a p-value of 0.05. …”
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Experts fail to reliably detect AI-generated histological data by Jan Hartung, Stefanie Reuter, Vera Anna Kulow, Michael Fähling, Cord Spreckelsen, Ralf Mrowka

“…Accordingly, these methods are expected to play an increasingly important role in the fraudulent fabrication of data. This includes images with complicated intrinsic structures such as histological tissue samples, which are harder to forge manually. …”
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Data-Driven Customer Segmentation and Marketing Strategies in Grocery Retail by Song Yiyang

“…After preprocessing steps like handling missing values, encoding categorical variables, and standardizing data, Principal Component Analysis (PCA) reduced the dimensionality of the data. …”
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Joint Screening for Ultra-High Dimensional Multi-Omics Data by Ulrich Kemmo Tsafack, Chien-Wei Lin , Kwang Woo Ahn

“…This leads to a tri-level hierarchical structured data: the cluster level, which is the group of correlated genes, the subgroup level, which is the group of omics of the same gene, and the individual level, which consists of omics. …”
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Construction of digital case resources for the cultivation of big data professionals by PENG Yan, WANG Jie

“…This paper outlines a structured approach to establish a systematic and serialized data resource case library, adopting a dynamic hierarchical design that comprehensively illustrates the entire big data processing workflow while enabling dynamic expansion. …”
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The Impact of Research Data Infrastructures: The Case of the AlphaFold Database by Angelo Kenneth Romasanta, Jonathan Wareham, Laia Pujol Priego

“…To better understand the benefits of these public resources, this study explores the AlphaFold (AFDB) database, a collaboration between DeepMind and the European Molecular Biology Laboratory (EMBL) that democratizes access to protein structure data. Employing a quantitative case study strategy using bibliometric analysis, this study compares publications indexed in the Web of Science Core Collection citing the original AF paper (Jumper et al., 2021) with those citing the AlphaFold database (Varadi et al., 2022), covering publications up to August 2024. …”
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Construction of digital case resources for the cultivation of big data professionals by PENG Yan, WANG Jie

“…This paper outlines a structured approach to establish a systematic and serialized data resource case library, adopting a dynamic hierarchical design that comprehensively illustrates the entire big data processing workflow while enabling dynamic expansion. …”
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Data Processing Method in Medium Range Coastal Radar Complex by Dang Quang Hieu, Nguyen Xuan Truong

“…It provides solutions for such missions as command and control of maritime forces, border monitoring and control, prevention of illegal activities such as piracy, smuggling, illegal immigration, illegal fishing, supporting search and rescue (SAR) operations, and creates a common situation awareness picture of the Naval Theatre. The system structure diagram is designed to solve computational overload problem when processing large volume of data received from radar stations. …”
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Domain Terminology Collection for Semantic Interpretation of Sensor Network Data by Myunggwon Hwang, Jinhyung Kim, Jangwon Gim, Sa-kwang Song, Hanmin Jung, Do-Heon Jeong

“…In this paper, we suggest a method of domain terminology collection based on Wikipedia category information in order to prepare seed data for such knowledge bases. However, Wikipedia has two weaknesses, namely, loops and unreasonable generalizations in the category structure. …”
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Data Management System and Software for Comprehensive Assessment of the State of the Biosphere by P. K. Shalkevich, D. S. Lavnikovich, Yu. S. Gorodnaya, A. V. Chementsova

“…As part of solving the problem of a comprehensive assessment of the state of the biosphere, the urgent question is to develop a geographic information system that will not only store large amounts of data of various types, but also provide the ability to use methods for processing and analyzing this data, numerical modeling me thods and intelligent decision-making methods. …”
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Hierarchical Event Descriptor library schema for EEG data annotation by Dora Hermes, Tal Pal Attia, Sándor Beniczky, Jorge Bosch-Bayard, Arnaud Delorme, Brian Nils Lundstrom, Christine Rogers, Stefan Rampp, Seyed Yahya Shirazi, Dung Truong, Pedro Valdes-Sosa, Greg Worrell, Scott Makeig, Kay Robbins

“…We demonstrate that the HED-SCORE library schema can be used to annotate events in EEG data stored in the Brain Imaging Data Structure (BIDS). …”
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A cultural heritage data curation framework for knowledge discovery by Ruijie He, Xiaoguang Wang

“… Introduction. Cultural heritage data resources (CHDR) serve as an important foundation for the revitalization of cultural heritage. …”
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Compositional data analysis enables statistical rigor in comparative glycomics by Alexander R. Bennett, Jon Lundstrøm, Sayantani Chatterjee, Morten Thaysen-Andersen, Daniel Bojar

“…Applying traditional statistical analyses to these data often results in misleading conclusions, such as spurious “decreases” of glycans when other structures increase in abundance, or high false-positive rates for differential abundance. …”
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Seismic data denoising based on attention dual dilated CNN by Haixia Hu, Youhua Wei, Hui Chen, Xingan Fu, Ji Zhang, Quan Wang, Shiwei Cai

“…Traditional noise suppression methods often result in the loss of critical signals, affecting subsurface structure characterization. This study introduces an innovative Attention Dual-Dilated Convolutional Neural Network (ADDC-Net) to address random noise in seismic data. …”
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The data myth: interrogating the evidence base for evidence-based peacebuilding by Roger Mac Ginty, Pamina Firchow

“…Our discussion is concerned with issues of power, inclusion, and exclusion, and particularly how knowledge hierarchies attend to the collection and use of data in relation to conflict-affected contexts. We therefore question the axiomatic nature of these data myth claims and argue that the structure and dynamics of peacebuilding actors perpetuate the myth. …”
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To share or not to share? Image data sharing in the social sciences and humanities by Elina Late, Mette Skov, Sanna Kumpulainen

“…The study analyses qualitative semi-structured interviews with 14 scholars who incorporate digital images as a core component of their research data. …”
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Estimating Tail Risk in Ultra-High-Frequency Cryptocurrency Data by Kostas Giannopoulos, Ramzi Nekhili, Christos Christodoulou-Volos

“…Ordinary bootstrapping requires the feed innovations to be free of any dependencies. To deal with complex data structures and dependencies found in ultra-high-frequency data, this study employs block bootstrap to resample contiguous segments, thereby preserving the sequential dependencies and sectoral clustering within the market. …”
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