Coupling Genetic and Demographic Data to Reveal Dispersal Processes in Emperor Penguins by Jimmy Garnier, Gemma Clucas, Jane Younger, Bilgecan Sen, Christophe Barbraud, Michelle LaRue, Alexander D. Fraser, Sara Labrousse, Stéphanie Jenouvrier

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Bone mineral content among Inuit – a systematic review of data by Jonas Bjørn Skjøth, Therese Mygind Hagens, Inuuteq Fleischer, Mogens Laursen, Stig Andersen

“…New scientific studies should update data, include spine and hip, describe bone structure, and consider fracture risk beyond BMC.…”
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Trusted access control mechanism for data with blockchain-assisted attribute encryption by Chang Liu, Dong Wang, Da Li, Shaoyong Guo, Wenjing Li, Xuesong Qiu

“…The B-CP-ABE scheme utilizes Bloom filter to hide the mapping relationship of sensitive attributes in the access structure, realizes flexible revocation and recovery of users and attributes by re-encryption algorithm, and solves the key escrow problem by joint authorization of data owners and attribute authority. …”
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No-Reference Error Detection in Color Difference Datasets: Application to Munsell Data by Valerii Timofeev, Galim Usaev, Mikhail Seliugin, Dmitry Bocharov, Anastasia Sarycheva, Ivan Konovalenko, Olga Basova, Mikhail Tchobanou, Valentina Bozhkova, Dmitry Nikolaev

“…The corrections and methods introduced here support the ongoing refinement of psychophysical color difference datasets, with all results and data made available in a machine-readable format.…”
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New Inventory of the Russian glaciers based on satellite data (2016–2019) by T. Y. Khromova, G. A. Nosenko, A. F. Glazovsky, A. Y. Muraviev, S. A. Nikitin, I. I. Lavrentiev

“…Delineation of glacier outlines was manually made to reduce uncertainties, especially for small glaciers. The database structure is compatible with the global and national glacier archives and includes the main glacial parameters. …”
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Simulated Ocean Circulation from INDESO data in the Region of the Gulf of Tomini by Satria Yukiadi Santoso, Agus Saleh Atmadipoera, I Wayan Nurjaya, Dwiyoga Nugroho, Ariane Koch-Larrouy

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COMPETENCY MODEL FOR PEOPLE ANALYTICS: BRIDGING DATA SCIENCE AND HRM PRACTICES by MD. TARIQUE JAWAID, SAIDALAVI K, RAMONA BIRAU, VIRGIL POPESCU, BHARAT KUMAR MEHER

“…We analyzed the 100 Job advertisements collected from Indian job portals and 20 in-depth semi-structured interviews with data scientists working in people analytics. …”
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Learning a prior on regulatory potential from eQTL data. by Su-In Lee, Aimée M Dudley, David Drubin, Pamela A Silver, Nevan J Krogan, Dana Pe'er, Daphne Koller

“…Genome-wide RNA expression data provide a detailed view of an organism's biological state; hence, a dataset measuring expression variation between genetically diverse individuals (eQTL data) may provide important insights into the genetics of complex traits. …”
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A Cognition Knowledge Representation Model Based on Multidimensional Heterogeneous Data by Dong Zhong, Yi-An Zhu, Lanqing Wang, Junhua Duan, Jiaxuan He

“…Aiming at the problem that the data sources of the knowledge base for constructing the cognitive knowledge graph are wide and heterogeneous, and there are entity semantic differences and knowledge system differences among different data sources, a multimodal entity semantic fusion model based on vector features and a system fusion framework based on HowNet are designed, and the environment description information such as object semantics, attributes, relations, spatial location, and context acquired by industrial robots and their own state information are unified and standardized. …”
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When Two are Better Than One: Synthesizing Heavily Unbalanced Data by Francisco Ferreira, Nuno Lourenco, Bruno Cabral, Joao Paulo Fernandes

“…Fraud Detection systems are examples of such systems where Machine Learning algorithms leverage information to classify financial transactions as legitimate or illicit. The data used to create these solutions is usually highly structured and contains categorical and continuous features characterised by complex distributions. …”
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Dynamic Ensemble Selection for EEG Signal Classification in Distributed Data Environments by Małgorzata Przybyła-Kasperek, Jakub Sacewicz

“…This study presents a novel approach to EEG signal classification in distributed environments using dynamic ensemble selection. In scenarios where data dispersion arises due to privacy constraints or decentralized data collection, traditional global modelling is impractical. …”
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Prediction of mild cognitive impairment using blood multi-omics data by Daniel Frank Zhang, Daniel Frank Zhang, Cigdem Sevim Bayrak, Qi Zeng, Qi Zeng, Qi Zeng, Minghui Wang, Bin Zhang, Bin Zhang, Bin Zhang, Bin Zhang

“…In this study, we developed an XGBoost-based machine learning model with AUC (the Area Under the receiver operating characteristic Curve) of 0.9398 utilizing gene expression and copy number variation (CNV) data from patient blood samples. We demonstrated, for the first time, that data at a genome structure level such as CNVs could be as informative as gene expression data to classify MCI patients from normal controls. …”
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Enabling Biodiversity-Informed Architecture Through Ontology-Driven Data Integration by Albin Ahmeti, Defne Sunguroglu Hensel, Cédric Pruski, Jakub Tyc, Michael Hensel

“…The proposed ontology, developed in collaboration with domain experts and adhering to Semantic Web and Linked Data best practices, serves as a mediator between life sciences data (e.g., species distribution and habitats) and geometric information (e.g., maps and voxel models of building structures). …”
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Deep Time Series Intelligent Framework for Power Data Asset Evaluation by Lihong Ge, Xin Li, Li Wang, Jian Wei, Bo Huang

“…Power data asset evaluation occupies the core position in the digitization of the power industry. …”
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An open data collection of 3D tool and equipment models for neonatology by Serena Bardelli, Gianpaolo Coro, Rosa T. Scaramuzzo, Massimiliano Ciantelli, Armando Cuttano

“…The present technical note describes a data collection of 3D models representing crucial tools and equipment used in maternal and newborn care training. …”
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Catch Data Can Unravel Elasmobranch Aggregation Dynamics and Group Behaviours by A. G. McInturf, M. Cantor, I. A. Bouyoucos, T. K. Chapple, S. F. Debaere, K. Eustache, J. Mourier, S. Planes, J. A. Sulikowski, K. W. Zillig, N. A. Fangue, J. L. Rummer

“…Here, we aim to address these challenges by introducing a methodological framework for analysing catch data to infer aggregation behaviour. Within this framework, we outline key metrics to explore, such as the number and density of individuals captured, phenotypic traits, drivers of co‐occurrence, individual identification, and kin structure. …”
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A new statistical model for advanced modeling of cancer disease data

“…Classical probability models often struggle to capture the variability and complex patterns inherent in biomedical data, particularly lifetime data. To address these limitations, the generalized odd beta prime Generalized (GOBP-G) class of distributions is introduced, along with an extension called the generalized odd beta prime-Weibull (GOBPW) distribution. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE IN ECONOMIC TRANSFORMATION: FROM AUTOMATION TO THE DATA ECONOMY by Viktoriia Mykytas

“…This transition reduces the demand for low-skilled labor while increasing the demand for highly specialized professionals in AI development, data analysis, AI ethics, and cybersecurity. However, it also raises profound concerns related to job displacement, unequal access to retraining, data privacy, and algorithmic transparency. …”
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Examining Sentiment Analysis for Low-Resource Languages with Data Augmentation Techniques by Gaurish Thakkar, Nives Mikelić Preradović, Marko Tadić

“…Theoretically, our results indicate that future research should concentrate on the development of augmentation strategies that introduce novel syntactic structures rather than solely relying on lexical variations, as current models may not effectively leverage synonymic or lemmatised data. …”
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Security Design for Data Distribution Service Based on Secure Onboard Communication by Fengjun Zhou, Gang Wang, Qun Wang, Yuxing Wang, Jun Wang

“…The core innovations are as follows: 1) Dynamic Security Policy Adaptation across Protocol Layers: By extending the Real-Time Publish-Subscribe protocol of DDS, SecOC security fields (Freshness Value + Message Authentication Code) are embedded into the message structure, and a dynamic mapping mechanism is established between the topic-level Quality of Service policies and the Protocol Data Unit-level security parameters is established. …”
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