Cluster analysis of social determinants of health and HIV/AIDS knowledge among Peruvian youths using Kohonen’s self-organized maps: a data-exploration study based on a Demographic... by Alejandro Aybar-Flores, Alvaro Talavera, Elizabeth Espinoza-Portilla

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Optimising neonatal service provision for preterm babies born between 27 and 31 weeks gestation in England (OPTI-PREM), using national data, qualitative research and economic analy... by Neena Modi, Elizabeth S Draper, Miaoqing Yang, Sarah E Seaton, Oliver Rivero-Arias, Thillagavathie Pillay, Brad Manktelow, Natalie Armstrong, Alexis Paton, Abdul Qader Tahir Ismail, Elaine M Boyle

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Non-utilization of selected newborn postnatal care and associated factors among postpartum women in East Africa: a multilevel mixed-effect analysis using the most recent DHS data 2... by Berhan Tekeba, Tadesse Tarik Tamir, Alebachew Ferede Zegeye

“…The DHS is the global data collection initiative that provides detailed and high-quality data on population demographics, health, and nutrition in low- and middle-income countries. …”
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“Data-based management”: prospects for implementation into the system of vocational education by V. I. Blinov, I. S. Sergeev, E. Yu. Esenina, N. S. Garkusha, N. F. Rodichev

“…Addressing these challenges largely relies on forecasting techniques that integrate data on labour market development prospects with information on the capabilities of personnel training systems. …”
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Algorithmic Support of Adaptive Automatic Control Systems with Data Compression by V. V. Alekseev, E. M. Antonyuk, I. E. Varshavskiy

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Geospatial Data Enrichment through Address Geocoding: Challenges and Solutions by E. Hristov, D. Petrova-Antonova, F. De Paoli, I. Krasteva, M. Ciavotta, R. Avogadro

“…Enriching geospatial data, particularly through address geocoding, is fundamental to many geospatial analytical solutions, facilitating resource allocation, accessibility assessment, and urban development planning. …”
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Simple empirical models of classifying patients from microarray data by Alan Oxley

“…Two models for classifying patients from gene expression microarray data were developed.  One model involves an existing algorithm whilst the other involves a new algorithm.  …”
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Research Questions and a Proposal for the Future Governance of Translation Data by Joss Moorkens, Dave Lewis

“…We use the institutional analysis and development (IAD) framework to assist with analysis of the dynamic situations emerging through the use of MT, and consider why changes, such a shared ownership model, would ultimately benefit all stakeholders. …”
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Cladistics with geometric morphometric data: The variability of the calvarium in the genus Homo by Margaux Simon-Maciejewski, Giorgio Manzi, Valéry Zeitoun, Aurélien Mounier

“…Over the last 30 years, several protocols to adapt 3D geometric morphometric data to cladistics have been developed. Strongly criticised, these protocols are only occasionally used in palaeoanthropology, despite the obvious heuristic potential of such an approach. …”
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A survey of streaming data anomaly detection in network security by Pengju Zhou

“…However, network anomaly detection faces significant challenges when dealing with massive traffic, logs, and other forms of streaming data. This article provides a comprehensive review and a multi-faceted analysis of recent algorithms for anomaly detection in network security. …”
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Bayesian reconstruction of disease outbreaks by combining epidemiologic and genomic data. by Thibaut Jombart, Anne Cori, Xavier Didelot, Simon Cauchemez, Christophe Fraser, Neil Ferguson

“…Recent years have seen progress in the development of statistically rigorous frameworks to infer outbreak transmission trees ("who infected whom") from epidemiological and genetic data. …”
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TOPSIS-RTCID for range target-based criteria and interval data by A. Jahan, M. Yazdani, K.L. Edwards

“…The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is receiving considerable attention as an essential decision analysis technique and becoming a leading method. This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria. …”
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To share or not to share? Image data sharing in the social sciences and humanities by Elina Late, Mette Skov, Sanna Kumpulainen

“…The study analyses qualitative semi-structured interviews with 14 scholars who incorporate digital images as a core component of their research data. Analysis. Content analysis is conducted to gather information about scholars’ image data sharing and motivating and impeding factors related to it. …”
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Spectral Pattern Classification in Lidar Data for Rock Identification in Outcrops by Leonardo Campos Inocencio, Mauricio Roberto Veronez, Francisco Manoel Wohnrath Tognoli, Marcelo Kehl de Souza, Reginaldo Macedônio da Silva, Luiz Gonzaga Jr, César Leonardo Blum Silveira

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Curriculum, Pedagogy, and Teaching/Learning Strategies in Data Science Education by Cecilia Avila-Garzon, Jorge Bacca-Acosta

“…Advances in artificial intelligence and related topics, such as linked data, the semantic web, ontologies, and machine learning, are shaping the development of data science curricula. …”
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EVALUATION AND MAPPING OF RANGELANDS DEGRADATION USING REMOTELY SENSED DATA by Majid Ajorlo

“…The results of ground-based data analysis reveal that there is a significant relation between increasing distance from critical points and plant diversity and also percentage of litter. …”
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Integrating Data Analytics into Traditional Media: Opportunities and Strategic Advantages by Веньхао Чжен, Вікторія Опанасенко

“… As traditional media transforms and adapts to the digitalisation epoch, data analysis technology becomes a critical tool for enhancing competitiveness and ensuring relevance in a rapidly changing conditions. …”
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Components of the Open Data Initiative in the National Library and Archives of Iran by Mahboubeh Ghorbani

“…Considering the importance of data in the development of the services of the National Library and Archives of Iran, it is intended to identify and categorize the components of the open data initiative in the organization. …”
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Deciphering Design of Aggregation‐Induced Emission Materials by Data Interpretation by Junyi Gong, Ziwei Deng, Huilin Xie, Zijie Qiu, Zheng Zhao, Ben Zhong Tang

“…Abstract This work presents a novel methodology for elucidating the characteristics of aggregation‐induced emission (AIE) systems through the application of data science techniques. A new set of chemical fingerprints specifically tailored to the photophysics of AIE systems is developed. …”
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AI and Data Analytics in the Dairy Farms: A Scoping Review by Osvaldo Palma, Lluis M. Plà-Aragonés, Alejandro Mac Cawley, Víctor M. Albornoz

“…Some technologies that can contribute to solving part of this problem are those related to data analytics tools, big data, and sensor development. …”
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