Changes in the Representativeness of Strava Bicycling Data during COVID-19 by Jaimy Fischer, Trisalyn Nelson, Meghan Winters

“…COVID-19 prompted a large global increase in Strava app use that could have implications for the representativeness of Strava bicycling data. …”
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One thousand years of fires: Integrating proxy and model data by Natalie Marie Kehrwald, Julie Aleman, Michael Coughlan, Colin Courtney-Mustaphi, Esther Githumbi, Brian Magi, Jennifer Marlon, Mitchell J. Power

“…</p> <p class="normal">The expected increase in fire activity in the upcoming decades has led to a surge in research trying to understand their causes, the factors that may have influenced similar times of fire activity in the past, and the implications of such fire activity in the future. Multiple types of complementary data provide information on the impacts of current fires and the extent of past fires. …”
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Tooling for Reproducible Research: Considerations for the Past and Future of Data Analysis by Roger Peng

“…We consider these contributions in the context of the history of reproducible research and consider what the implications are for the future of data analysis. …”
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Irish residential heating demand profile datasetMendeley Data by John Curtis, Niall Farrell

“…This data article describes the operation of gas and oil fuelled residential heating systems in Ireland. …”
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AI, big data, and quest for truth: the role of theoretical insight by Tuba Bircan

“…This paper aims at exploring the dynamic interplay between advanced technological developments in AI and Big Data and the sustained relevance of theoretical frameworks in scientific inquiry. …”
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Research Data: A Public Good or a Private Asset? by Tadeu Fernando Nogueira, Trude Eikebrokk, Laila Økdal Aksetøy

“…Of particular interest are Research Performing Organizations in the institute sector that operate under both market and non-market logics, which have implications for how they govern their research data. …”
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Research on access control for secure cross-domain data circulation by LI Heng, LI Fenghua, SHI Xinyi, GUO Yunchuan, GUO Shoukun

“…Initially, the challenges associated with cross-domain data access control were systematically examined, followed by an in-depth investigation into the fundamental concepts of cross-domain data circulation and the essential implications of cross-domain access control. …”
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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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Exploring the Intersection of Machine Learning and Big Data: A Survey by Elias Dritsas, Maria Trigka

“…Additionally, this survey addresses the ethical and societal implications of ML in big data, emphasizing the need for responsible and equitable approaches to harnessing these technologies. …”
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Xenobiotic resistance in mosquito eggs: current understanding and data gaps by Uday Turaga, Steven T. Peper, Carlos J. Garcia, Steven M. Presley

“…Additionally, we address the implications of these data gaps relative to the overall objectives of vector control and public health.…”
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Third time's the charm? the EU - us data privacy framework by Bianca-Raluca Tulac

“…Through the lens of this study, we aim to outline an overall perspective on the cooperation between the European Union and the United States of America, regarding the transfer of personal data. Starting from the exposition of the efforts made over time, in order to ensure a safety of the transatlantic flow of data, we will focus on the current provisions in force, known as Privacy Shield 2.0, determining, at the same time, the possible practical implications of them. …”
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Attributions of intent and moral responsibility to AI agentsMendeley Data by Reem Ayad, Jason E. Plaks

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Survey data of perception and evaluation of umami taste in AustriaZenodo by Emilia Iannilli, Emilise Lucerne Pötz

“…The data presented in this work was collected in Austria. …”
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Improved Ellipsoidal Intersection Method for 2D Data Fusion by Muhammed Mert Ulupinar, Gokhan Soysal

“…The results indicate that more accurate modeling of common information significantly improves fusion accuracy. Furthermore, the implications of these findings for state estimation and multisensor data fusion are discussed, emphasizing the importance of correlation modeling in improving fusion performance. …”
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Isolation Forests for Symbolic Data as a Tool for Outlier Mining by Marcin Pełka, Andrzej Dudek

“…Implications and recommendations: As the isolation forest for symbolic data turned out to be an efficient tool for outlier detection for artificial data, further studies should focus on real data sets that contain outliers (i.e. credit card fraud dataset) and this approach should be compared with other outlier mining tools (i.e. …”
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Synthetic data in medicine: Legal and ethical considerations for patient profiling by Maja Nisevic, Dusko Milojevic, Daniela Spajic

“…By mimicking the statistical properties of real data without exposing identifiable information, synthetic data promises to resolve tensions between innovation and data protection. …”
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Financial textual sentiment connectedness: Evidence from alternative data by Yudhvir Seetharam, Kingstone Nyakurukwa

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Recognition of Human Activities Based on Ambient Audio and Vibration Data by Marcel Koch, Thomas Pfitzinger, Fabian Schlenke, Fabian Kohlmorgen, Roland Groll, Hendrik Wohrle

“…The data obtained by the AMSNs is classified using two distinct neural networks. …”
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Detection of OSA Through the Application of Deep Learning on Polysomnography Data by Hasan Ulutas, Recep Sinan Arslan, Muhammet Emin Sahin, Halil Ibrahim Cosar, Cagri Arisoy, Ahmet Sertol Koksal, Mehmet Bakir, Bulent Ciftci

“…By employing meticulous data collection, preprocessing, and analysis, the study demonstrates the potential of DNNs to capture intricate and high-dimensional features within complex sleep data, allowing precise and reliable diagnosis. …”
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Review of Image Processing Methods in Solar Photospheric Data Analyzes by Mohsen Javaherian, Zahra Eskandari

“…This section also encompasses discussions concerning recent advancements in image processing techniques for solar data analysis and their potential implications for future solar research. …”
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