Exploiting Data Distribution: A Multi-Ranking Approach by Beata Zielosko, Kamil Jabloński, Anton Dmytrenko

“…It means that data comes from different sources, may be dispersed in terms of location, and may be stored in different structures and formats. …”
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Evaluability Assessment: Clarifying Organizational Support and Data Availability by Joseph Hare, Timothy Guetterman

“…The researchers conducted semi-structured interviews and analyzed the data using thematic analysis. …”
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Maturity Model for Organizational Research Data Management Services by Yasuyuki Minamiyama, Ui Ikeuchi, Kosuke Tanabe, Kenji Yuki, Kazuhiro Hayashi, Takaaki Aoki

“…By analyzing existing RDM service maturity models, we extract six key dimensions —awareness, data policy, budget, services, user needs, and IT infrastructure—and develop a structured evaluation framework with a five-level rating system. …”
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New directions of the Eurasian partnerships: structural changes and the factors of influence by O. I. Oskina

“…Global trends and factors that determine the prospects for the development of regional integration entities are highlighted. Empirical data on the growth of the economic potential of the EAEU are presented. …”
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Innovative digital morphometry. Structural patterns of the mouth floor muscles

“…Age and individual features of the structure of the mouth floor muscles were revealed on the basis of the data obtained with the use of computed and magnetic resonance tomography. …”
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STRUCTURAL VARIABLITY OF LEUCOCYTE GENOME AND ARTERIAL CELLS IN HUMAN ATHEROSCLEROSIS by А. A. Sleptsov, M. S. Nazarenko, V. P. Puzyrev

“…The review is focused on current views on the structural variation of genome of somatic cells as components related to atherosclerosis. …”
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Regional and structural factors in Swedish regional growth during the 1990s by Li Wenjuan

“…Based on the Swedish Standard Industrial Classification and individual longitudinal data, by using the shift-share analysis method, Swedish regional employment growth during the 1990s has been decomposed into two components—growth due to an endogenous regional factor and growth due to an exogenous structural factor. …”
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Structural and Mechanical Properties of Fluorinated SWCNTs: a DFT Study by I.K. Petrushenko

“…At the PBE / SVP level, the data obtained compare well with experimental and theoretical studies. …”
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On Evaluation of Data Stream Clustering Algorithms: A Survey by Christian Nordahl, Veselka Boeva, Hakan Grahn, Marie Persson-Netz

“…The main challenge is extracting knowledge in real-time from a possibly unbounded data stream. Clustering, a process in which groupings within the data are identified, is a valuable technique to extract and identify underlying structures of the data. …”
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Biomedical Data Annotation: An OCT Imaging Case Study by Matthew Anderson, Salman Sadiq, Muzammil Nahaboo Solim, Hannah Barker, David H. Steel, Maged Habib, Boguslaw Obara

“…In ophthalmology, optical coherence tomography (OCT) is a widely used imaging modality, allowing visualisation of the structures of the eye with objective and quantitative cross-sectional three-dimensional (3D) volumetric scans. …”
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Using Airtable to download and parse Digital Humanities Data by William K. Dewey

“…After processing the data into CSV format, this article touches on how CDRH API fields are populated from plain values and more complicated structures including Markdown-style links. …”
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Listen to genes: dealing with microarray data in the frequency domain. by Jianfeng Feng, Dongyun Yi, Ritesh Krishna, Shuixia Guo, Vicky Buchanan-Wollaston

“…<h4>Background</h4>We present a novel and systematic approach to analyze temporal microarray data. The approach includes normalization, clustering and network analysis of genes.…”
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Characterising London parks and gardens using open data by Dace Kirsteina, Marie A.E. Mueller, Ross S. Purves

“…To do so, we used open data, including OpenStreetMap and Light Detection and Ranging (LiDAR) data, to measure six characteristics, identified from the literature as being important for well-being, in 1,638 parks in London: size, trail and pathway density, water cover, buildings and other anthropogenic features, horizontal vegetation coverage, and vertical vegetation structure. …”
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Shape Penalized Decision Forests for Imbalanced Data Classification by Rahul Goswami, Aindrila Garai, Payel Sadhukhan, Palash Ghosh, Tanujit Chakraborty

“…We evaluate the method on twenty benchmark tabular imbalanced datasets, spanning diverse sample sizes and imbalance ratios, and demonstrate its superiority over several state-of-the-art data-level and algorithmic-level methods. Furthermore, simulated datasets with visually interpretable structures showcase the model&#x2019;s generalization capacity. …”
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Methods of teaching educational data mining for pedagogical students by E. A. Terbusheva

“…The main aspects underlying the methodology: a form of flipped learning, a concentric (iterative) content structure, research teaching methods, a set of practical tasks for developing research competencies and Weka software for data mining as the main technical training tool for practical tasks implementation. …”
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Data backup methods for mission-critical information systems by S. V. Shaytura, P. N. Pitkevich

“…The issue of increasing data safety is relevant. One of the ways to improve the safety of data is backing them up. …”
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Linking Digital Footprint Data into Longitudinal Population Studies by Romana Burgess, Andy Boyd, Oliver Davis, Louise AC Millard, Mark Mumme, Sarah Robertson, Andy Skinner, Zhuoni Xiao, Anya Skatova

“…Methods We propose a structured, four-stage framework to facilitate successful linkage of digital footprint data into LPS: (1) understand participant expectations and acceptability; (2) collect and link the data; (3) evaluate properties of the data; and (4) ensure secure and ethical access for research. …”
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Statistical data analysis methods in Brillouin spectroscopy: Tutorial by Christopher G. Poulton, Hadi Mahmodi, Matthew D. Arnold, Luke McAlary, Lezanne Ooi, Irina Kabakova

“…In this tutorial, we discuss in detail the application of the two unsupervised machine learning methods, principal component analysis and vertex component analysis, which can be used to retrieve information from the Brillouin microscopy data of heterogeneous samples. The main advantage of both methods is their unsupervised nature, thus no preliminary knowledge of structure and composition is needed to isolate the components of interest. …”
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Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…Different levels of damage states were introduced at the midspans of these models, and Gaussian-based load time histories were applied at mid-span for dynamic time-history analysis to calculate acceleration data. Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. …”
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Adaptive Data Warehouse as the Technological basis of the banking Ecosystem by E. V. Vasilieva, K. S. Solyanov, T. D. Konevtseva

“…It makes it possible to set the warehouse contours for specific business tasks, combine elements, and expand the structure of the banking data warehouse in the context of its integration with various external software objects. …”
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