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Silencing in data science practices
Published 2025-09-01“…Our practice-oriented analysis of the data science pipeline – data collection, cleaning, model training and implementation – reveals a vicious cycle of silencing that perpetuates and amplifies existing biases. …”
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Survey on the causal consistency of data
Published 2020-03-01“…Causal consistency is one of the important projects to ensure data consistency in distributed storage.The current research focuses on causal consistency including optimization of clock method,design of the protocol and the optimization of operation transaction sequence.In the actual cloud environment,in addition to clock skew and query amplification,there are also insecure factors such as Trojans and untrusted third parties,which will destroy the causal consistency metadata stored by users,and the consistency of user’s operating results,even affect the availability of the storage environment.From the perspective of performance improvement and security in distributed storage,the clock synchronization,data replications,analysis and design of server protocol,related research progress of the serialization of operational affairs were introduced combined with consensus mechanisms such as blockchain.At the same time,their principlest,advantages,limitations,and different utilities in terms of security constraints were discussed,and then the future development trends and follow-up research directions were point out at last,which would provide a reference and help for the research in this field.…”
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On the Classification of Regions of the Russian Federation by Level of Socio-Economic Development and Innovation Activity Index
Published 2024-05-01“…Based on them, cluster analysis identifies five clusters of regions according to the level of innovation activity and socio-economic development, which is based on the final weighted average index (Iiv) of development. …”
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DATA MARGINALIZATION IN SOUTH AFRICA
Published 2023-12-01“…The analysis of the aforementioned sources revealed several dangers that data marginalisation poses to social and economic development of South Africa. …”
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Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data
Published 2025-03-01“…Conventional feature selection techniques often evaluate features individually and fail to leverage biological knowledge during metagenomic data analysis. To address this gap, we propose the enzyme commission (EC)-nomenclature-based Grouping-Scoring-Modeling (G-S-M) method, which integrates biological domain knowledge into feature grouping and selection. …”
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Early postoperative atrial fibrillation is associated with late mortality after cardiac surgery: a systematic review and reconstructed individual patient data meta-analysis
Published 2025-06-01“…Results In total, 33 studies were included in the analysis for late mortality (131 031 patients) and 10 studies in the analysis for late stroke (42 042 patients). …”
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Should I provide my health data for research? Citizens assessing the value of data provision
Published 2025-09-01“…To understand the conditions under which citizens are prepared to do so, this article investigates the situated ways in which they reflect on and assess their (non)provision of digitally available health data for research. Our empirical work is situated within a large-scale EU-funded project that sought to develop a health data infrastructure for transborder healthcare and research. …”
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Analysis of the public catering market in the Penza region
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Role of community based rural development project on livelihood enhancement: the case of Nadowli-Kaleo District, Ghana
Published 2025-12-01“…Thematic analysis was employed to analyze the data. The findings showed that the provision of agricultural infrastructure empowered the beneficiaries, leading to tangible livelihood improvements. …”
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HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservation
Published 2025-02-01“…Abstract Background Data adjustment is an essential tool for increasing statistical power during analysis, for example in case of complex multi-experiment data from (single-cell) RNA, proteomics and other omics data. …”
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Survey data on fishermen perception of marine protected areas in West Coast of MalaysiaMendeley Data
Published 2025-06-01Get full text
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The Development of Risk Assessments and Supplier Resilience Models for Military Industrial Supply Chains Considering Rare Disruptions
Published 2024-06-01“…The failure modes and effects analysis technique is used to evaluate the risk priorities for the resilience categories to develop a risk assessment model. …”
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