The Role of Automated Decision-Making in Modern Administrative Law: Challenges and Data Protection Implications by Grega Rudolf, Polonca Kovač

“…This paper explores the incorporation of ADM systems into administrative procedures, focusing on their impact on personal data protection and the fundamental principles underpinning administrative law. …”
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The data scientist as a mainstay of the tumor board: global implications and opportunities for the global south by Myles Joshua Toledo Tan, Myles Joshua Toledo Tan, Myles Joshua Toledo Tan, Myles Joshua Toledo Tan, Myles Joshua Toledo Tan, Myles Joshua Toledo Tan, Myles Joshua Toledo Tan, Daniel Andrew Lichlyter, Nicholle Mae Amor Tan Maravilla, Weston John Schrock, Weston John Schrock, Frederic Ivan Leong Ting, Frederic Ivan Leong Ting, Frederic Ivan Leong Ting, Joanna Marie Choa-Go, Joanna Marie Choa-Go, Joanna Marie Choa-Go, Kishi Kobe Francisco, Mickael Cavanaugh Byers, Hezerul Abdul Karim, Nouar AlDahoul

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New digital anatomical data of Keichousaurus hui (Reptilia: Sauropterygia) and its phylogenetic implication by Jiayu Xu, Yu Guo, Yucong Ma, Wei Wang, Long Cheng, Fenglu Han

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Patterns and prognostic implications of distant metastasis in breast Cancer based on SEER population data by Maoquan zhang, Hanqing Deng, Rihua Hu, Fuwei Chen, Shiwen Dong, Shiyi Zhang, Wenyan Guo, Wen Yang, Wenxin Chen

“…Abstract Distant metastasis remains the leading cause of mortality in breast cancer, yet comprehensive population-based evaluations of metastatic site combinations and their survival implications are limited. This study aimed to explore the clinicopathological determinants and prognostic outcomes of site-specific and multi-organ metastases in breast cancer using SEER data. …”
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Improving Aquaculture Worker Safety: A Data-Driven FTA Approach with Policy Implications by Su-Hyung Kim, Seung-Hyun Lee, Kyung-Jin Ryu, Yoo-Won Lee

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Implications of Data Extraction and Processing of Electronic Health Records for Epidemiological Research: Observational Study by Melissa H J van Essen, Robin Twickler, Yvette M Weesie, Ilgin G Arslan, Feikje Groenhof, Lilian L Peters, Isabelle Bos, Robert A Verheij

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Genetic Background and Clinical Characters of Pediatric Chronic Pancreatitis: Data and Implications from the East by Muyun Liu, Tian Xia, Di Zhang, Lianghao Hu, Zhuan Liao, Chang Sun, Zhaoshen Li

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Fibromyalgia Detection and Diagnosis: A Systematic Review of Data-Driven Approaches and Clinical Implications by Anirudh Atmakuru, Subrata Chakraborty, Massimo Salvi, Oliver Faust, Prabal Datta Barua, Makiko Kobayashi, Ru San Tan, Filippo Molinari, Abdul Hafeez-Baig, U. Rajendra Acharya

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Beyond the gender data gap: co-creating equitable digital patient twins by Nora Weinberger, Daniela Hery, Dana Mahr, Stephan O. Adler, Jean Stadlbauer, Theresa D. Ahrens

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Structuring a textile knitting dataset for machine learning and data mining applicationsMendeley Data by Toufique Ahmed, Abu Saleh Muhammad Junayed

“…These techniques included data cleaning, normalization, and feature engineering, all of which were crucial in ensuring the quality and usability of the dataset. …”
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Super-Resolution for Renewable Energy Resource Data with Wind from Reanalysis Data and Application to Ukraine by Brandon N. Benton, Grant Buster, Pavlo Pinchuk, Andrew Glaws, Ryan N. King, Galen Maclaurin, Ilya Chernyakhovskiy

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Correction: Impacts of data consistency levels in cloud-based NoSQL for data-intensive applications by Saulo Ferreira, Júlio Mendonça, Bruno Nogueira, Willy Tiengo, Ermeson Andrade

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Big data and data science in global governance: anticipating future needs and applications in the UN and beyond by Lanxin Li, Jiarou Wang, Xi Wang, Peng Peng, Jiaying Shen, Haining Zhu, Ziyang Zhang

“…This paper explores the transformative potential of big data and data science in global governance, with particular emphasis on their application in international organizations addressing sustainable development challenges. …”
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A data flow process for confidential data and its application in a health research project. by Samantha S R Crossfield, Kieran Zucker, Paul Baxter, Penny Wright, Jon Fistein, Alex F Markham, Mark Birkin, Adam W Glaser, Geoff Hall

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Evaluation of Multiple Imputation in Missing Data Analysis: An Application on Repeated Measurement Data in Animal Science by Gazel Ser, Cafer Tayyar Bati

“…The purpose of this study was to evaluate the performance of multiple imputation method in case that missing observation structure is at random and completely at random from the approach of general linear mixed model. The application data of study was consisted of a total 77 heads of Norduz ram lambs at 7 months of age. …”
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Big Data Applications in Social Media Research: The Experience of Unsuccessful Data Analysis of Ukrainian Facebook by A. Tokarev

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Automated data processing and feature engineering for deep learning and big data applications: A survey by Alhassan Mumuni, Fuseini Mumuni

“…Recently, special techniques for automating these tasks have emerged. The automation of data processing tasks is driven by the need to utilize large volumes of complex, heterogeneous data for machine learning and big data applications. …”
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Comprehensive data of 10 fruit leaf classes captured for agricultural AI applicationsMendeley Data by Minhajul Abedin, Sujon Islam, Naznin Sultana

“…The complete dataset is public and can be accessed on Mendeley Data repository and is hierarchically structured with separate directories for all the fruit species.…”
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Bayesian Analysis of Doubly Inflated Poisson Regression for Correlated Count Data: Application to DMFT Data by Bahare Gholami Chaboki, Alireza Akbarzadeh Baghban, Taban Baghfalaki, Mohammad Hossein Khoshnevisan, Maryam Heydarpour Meymeh

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E-commerce operation empowers green agriculture: implication for the reduction of farmers' fertilizer usage by Hailan Qiu, Yi Huang, Weikun Zhang, Bing He, Ruolan Yuan, Zhipeng Wang

“…IntroductionHow e-commerce businesses improve farmers' fertilizer application (FFA) and reduced fertilizer application is of great practical significance.MethodsUsing the data from the China Rural Revitalization Survey (CRRS) in 2020, the OLS and mediating effect models were exploited to explore the impact and mechanism of e-commerce operation (EO) on FFA by examining this heterogeneous effect. …”
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