Network-based analyses of multiomics data in biomedicine by Rachit Kumar, Joseph D. Romano, Marylyn D. Ritchie

“…This review will present various existing approaches in using network representations and analysis of data in multiomics in the framework of deep learning and machine learning approaches, subdivided into supervised and unsupervised approaches, to identify benefits and drawbacks of various approaches as well as the possible next steps for the field.…”
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Shiny Apps in Distance Education: Do Psychology Students Benefit From Interactive Statistics Applications? by Eric Berkmann, Björn Fisseler, Lena Schützler, Oliver Christ

“…This article discusses the implications of using Shiny apps in distance education and potential directions for future research. …”
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Data on the diet and nutrition of urban and rural bumblebees by Joan Casanelles-Abella, Simonetta Selva, Alexander Keller, Fabian A. Ruedenauer, Bertrand Fournier, Sara D. Leonhardt, Marco Moretti

“…Additionally, by analyzing pollen from both body and leg-baskets, the dataset also offers a comprehensive overview of plant-bumblebee interactions. The data help understand plant-bumblebee interactions, pollination services, nutritional supply to larvae, and the impact of land-use changes on these processes. …”
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Spatiotemporal Patterns of Agriculture Expansion Intensity and Land-Use/Cover Changes in the Mixed Urban-Rural Upper Kafue River Basin of Zambia (1989–2019) by Rudo V. Denga, Matamyo Simwanda, Royd Vinya, Manjula Ranagalage, Yuji Murayama

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Data traceability mechanism based on consortium chain by Shoucai ZHAO, Lifeng CAO, Xuehui DU

“…With the unprecedented growth in the speed of data generation and circulation in the era of big data, the emergence of blockchain technology provides a new solution for data authenticity verification.However, with the increasing demand for data flow between different blockchains, new security issues arise.Cross-chain data transmission can lead to data leakage, and detecting data leakage caused by illegal access becomes challenging.To address these problems, a data traceability mechanism based on a consortium chain was proposed.A cross-blockchain data traceability model was designed, incorporating private data pipelines to ensure the security of cross-chain data transmission.User behaviors were recorded through authorization and access logs, ensuring the traceability of illegal unauthorized access.To improve the efficiency of data traceability and query, an on-chain and off-chain synchronous storage mechanism was adopted.The state of data flow before each transaction was encrypted and stored in the database, and its index was stored in the blockchain transaction.This enables a one-to-one correspondence between on-chain and off-chain data.Additionally, Merkle trees were introduced into the block body to store block summaries, enhancing the efficiency of block legitimacy verification.Based on the data storage form and cross-chain data interaction mechanism, a data traceability algorithm was designed.The traceability results were displayed in the form of an ordered tree.An experimental environment for consortium chain traceability was built using fabric, targeting the cross-domain data traceability scenario in the e-commerce industry.The GO language was used to simulate and test the data traceability performance with a large number of blocks and transactions.The results demonstrate that with the increasing number of blocks and transactions, the proposed data traceability mechanism maintains satisfactory performance.…”
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Aerobiological data as an indicator for invasive plants monitoring by Guillermo Guada, Fernando Veiga-López, María Fernández-González, J. José Uzal-Dapena, José Ángel Cid-Fernández, F. Javier Rodríguez-Rajo

“…The relationship between airborne pollen of the invasive species Acacia dealbata Link, climate factors, and its ground expansion is studied using aerobiological data and aerial photography to test if pollen data can be used as a tool to detect changes in the surface area of invasive species.Airborne pollen monitoring was performed over a 31 years period (1994–2024). …”
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Poverty Dynamics and the Fundamental Root Causes in Iran by Zahra Azari, Parviz Mohamadzadeh, Davoud Behboudi

“…This analysis is the process of identifying themes in qualitative data. In this method, a suitable conceptual model is obtained using qualitative data obtained from interviews. …”
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STUDI PENGEMBANGAN EKONOMI LOKAL TERKAIT INTERAKSI DESA-KOTA by ASEP HARIYANTO, HISTA YUGANDHINI

“…Data were analyzed using analysis of Diamond Porter, SWOT analysis, and analysis of the gravity of the rural-urban interactions. …”
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Reconstructing mammalian sleep dynamics with data assimilation. by Madineh Sedigh-Sarvestani, Steven J Schiff, Bruce J Gluckman

“…It enables the user to take advantage of all available information including experimental measurements and short-term model forecasts of a system. Although data assimilation has been used to study other biological systems, the study of the sleep-wake regulatory network has yet to benefit from this toolset. …”
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Regarding the prospects of using Lactobacillus-based probiotics, D-mannose and cranberry extracts in therapy of urinary tract infections by O. A. Gromova, I. Yu. Torshin

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Novel approach to studying marine fauna: using long-life remote underwater video cameras to assess occurrence and behaviour of threatened and data-deficient elasmobranch species in... by Jule Buschmann, Jule Buschmann, Kim G. Roques, Jaime S. Davies, Jaime S. Davies, Awantha Dissanayake, Jennifer A. Keeping, Jennifer A. Keeping

“…Between 2021 and 2024, 524 hours of LL-RUV data were collected, revealing the presence of 14 threatened and data-deficient elasmobranch species. …”
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Machine learning using genotype and gene-expression data identifies alterations of genes involved in infection susceptibility, antigen presentation and cytokine signalling as key c... by Nicholas Pudjihartono, Daniel Ho, Justin Martin O’Sullivan

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Natural emissions of VOC and NO_<i>x</i> over Africa constrained by TROPOMI HCHO and NO₂ data using the MAGRITTEv1.1 model by B. Opacka, T. Stavrakou, J.-F. Müller, I. De Smedt, J. van Geffen, E. A. Marais, R. P. Horner, D. B. Millet, K. C. Wells, A. B. Guenther

“…Our study strongly supports the application of a bias correction to the TROPOMI HCHO data and the use of a two-species constraint (vs. single-species inversion), based on comparisons with isoprene columns retrieved from the Cross-track Infrared Sensor (CrIS).…”
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Persistent sex disparities in access to dolutegravir‐based antiretroviral therapy in Latin America and the Caribbean: results from a retrospective observational study using data fr... by Fernanda F. Fonseca, Paridhi Ranadive, Bryan E. Shepherd, Flavia G. F. Ferreira, Maria F. Rodríguez, Daisy M. Machado, Vanessa Rouzier, Diana Varela, Fernanda Maruri, Peter Ribeiro, Beatriz Grinsztejn, Sandra Wagner Cardoso, Valdiléa G. Veloso, Jessica L. Castilho, Emilia M. Jalil, CCASAnet

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Help-Seeking Behaviors in Research Data Management by Jeremy Kenyon, Ramirose Attebury, Jylisa Doney, Marco Seiferle-Valencia, Jessica Martinez, Bruce Godfrey

“…Eighteen faculty in the natural and physical sciences at the University of Idaho were individually interviewed using an in-depth qualitative interview format and all transcripts were coded and analyzed using an open transcript data visualization tool created at the University of Idaho Library. …”
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Unsupervised detection of semantic correlations in big data by Santiago Acevedo, Alex Rodriguez, Alessandro Laio

“…The proposed algorithm is largely insensitive to the so-called curse of dimensionality, and can therefore be used in big data analysis. We test this approach identifying phase transitions in model magnetic systems and we then apply it to the detection of semantic correlations of images and text inside deep neural networks.…”
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Comparison of normalization methods for Hi-C data by Hongqiang Lyu, Erhu Liu, Zhifang Wu

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Visualising Spatial Dispersion in Cultural Heritage Data by Laya Targa, Esperanza Villuendas, Cristina Portalés, Jorge Sebastián

“…This study addresses these issues through a case study on the Museo de América’s “Place of Provenance” data, proposing a methodology for data cleaning and evaluating geocoding accuracy using Nominatim, ArcGIS, and GeoNames APIs. …”
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Blockchain Technology for Secure Patient Data Sharing by Robert-Stefan CIZMAŞ

“…The frontend, developed using React for web interfaces and later ported to CustomTkinter for desktop applications, provides intuitive tools for patients and healthcare providers to interact with the blockchain. …”
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Updating data on cognitive impairment in stroke patients by Denisa Floriana Vasilica Pîrșcoveanu, Carmen Valeria Albu, Elena Anca Târtea, Iulia Cristina Mărginean, George Alexandru Iacob, Elena Pinoșanu, Anca Maria Țucă, Cristina Maria Mărginean, Raluca Elena Sandu, Mircea Pîrșcoveanu

“…Vascular cognitive impairments are the expression of complex interactions between vascular etiology, risk factors (brain diseases, white matter lesions, etc.) and cellular changes at the brain level. …”
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