Integrated Analysis of Satellite and Geological Data to Characterize Ground Deformation in the Area of Bologna (Northern Italy) Using a Cluster Analysis-Based Approach by Alberto Manuel Garcia Navarro, Celine Eid, Vera Rocca, Christoforos Benetatos, Claudio De Luca, Giovanni Onorato, Riccardo Lanari

“…We apply a multidisciplinary approach integrating subsurface geology, ground water production, advanced differential interferometry synthetic aperture radar—DInSAR, gas storage data, and land use information to characterize and analyze the spatial and temporal variations in vertical ground deformations. …”
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Does rising land price promote the circulation industry development? An analysis of internet-based moderating effects by Yuanyuan Yin, Zhang Liu, Chen Gao

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Assessment of the impact of venture capital investment on labour productivity: an analysis of the EU countries by Aistė Padgureckienė, Diana Cibulskienė

“…Panel data of 25 European Union countries were used for the regression analysis. …”
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A policy analysis of low carbon development in the context of the water-energy-food nexus: Examining the low emission development strategy in Fiji by Deepitika Chand, Janez Susnik, Sara Masia, Graham Jewitt

“…Analysis of data obtained from key informant interviews and the policy coherence outcomes show important trade-offs and synergies between sectors, which are useful in informing national and sectoral level policy development. …”
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From data to nutrition: the impact of computing infrastructure and artificial intelligence by Pierpaolo Di Bitonto, Michele Magarelli, Pierfrancesco Novielli, Donato Romano, Domenico Diacono, Lorenzo de Trizio, Angelo Mariano, Claudia Zoani, Riccardo Ferrero, Alessandra Manzin, Maria De Angelis, Roberto Bellotti, Sabina Tangaro

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The Effects of Correlated Data and Correction Procedures for F-Test in Unbalanced Two Way Model by Ivan Kababchi

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Modelling and experimental analysis of hormonal crosstalk in Arabidopsis by Junli Liu, Saher Mehdi, Jennifer Topping, Petr Tarkowski, Keith Lindsey

“…This combined modelling and experimental analysis provides new insights into the integration of hormonal signals in plants.…”
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Assessing the impact of China's National Big Data Comprehensive Pilot Zone policy on agricultural carbon emissions by Yuqian Zhang, Yixuan Wang, Chenchen Su, Jiahong Guo, Chen Xu

“…This study not only offers valuable insights for agricultural carbon reduction in China but also provides robust case data and guidance for other developing countries worldwide in the formulation and execution of digital policies aimed at promoting agricultural carbon emission reduction.…”
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Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements by Anukriti Kaushal, Chia-Chen Lin, Rishabh Chauhan, Rajeev Kumar

“…Advances in artificial intelligence continue to propel the growth of text summarisation research, particularly with the evolution from traditional extractive approaches to cutting-edge abstractive models like BERT and GPT, as well as emerging innovations in multimodal and multilingual summarisation. To trace the development of this field, this study integrates bibliometric analysis and an in-depth survey, leveraging data from the Web of Science database to explore citation trends, uncover influential contributors, and highlight emerging research areas. …”
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The  Formation  of  the Production Losses  data  for  Quick  Management  Decision-Making by I. E. Mizikovsky

“…Application of methods of observation, system analysis, classification and grouping provided the possibility of modernization of existing methods and methods of data generation in the segment of information space management of economic entities of manufacturing industries. …”
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Method of load balancing for computer cluster of data processing center by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

“…The article presents a description of the load balancing method for a computing cluster of a data processing center (DPC), which is based on a probabilistic approach to proactive forecasting of packet traffic states, formed on the basis of the results of its statistical, nonlinear and spectral analysis. …”
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METHOD OF LOAD BALANCING FOR COMPUTER CLUSTER OF DATA PROCESSING CENTER by N. Yu. Bratchenko, V. P. Mochalov, I. S. Palkanov

“…The article presents a description of the load balancing method for a computing cluster of a data processing center (DPC), which is based on a probabilistic approach to proactive forecasting of packet traffic states, formed on the basis of the results of its statistical, nonlinear and spectral analysis. …”
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Analysis on the dynamics and structure of scientific and innovation-information development indicators of the Russian federal districts by S. V. Sidorenko, T. A. Pershina, M. A. Khatuntseva, A. R. Bikbaeva

“…The article presents an analysis of science, innovation and information systems development in Russia, as they are one of the most important factors of the economic security of the state. …”
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Efficiency evaluation and productivity analysis of complex electric power systems in China: A directional slacks-based network data envelopment analysis approach by Ruiyue Lin, Lingling Ding, Zongxin Li

“…It systematically decomposes the electric power system into various processes, including power generation, transmission, distribution, and power consumption, with parallel sub-processes for production and domestic power consumption. Employing data envelopment analysis (DEA), the paper develops a network directional slacks-based (DSB) model to evaluate the whole system and the internal processes. …”
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A collaborative approach to advancing research and training in Public Health Data Science—challenges, opportunities, and lessons learnt by Elisha Abade, Wondwossen Mulugeta, Idah Orowe, Getachew Hailemariam, Patrick Weke, Rahel Bekele, Isabelle Zaugg, Jeff Goldsmith, Tiffany Sanchez, Kiros Berhane

“…Through harmonized online surveys and stakeholder engagements via focus group discussions in Ethiopia and Kenya, a curriculum was developed for a masters degree program in Public Health Data Science (PHDS). …”
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Leveraging Large Language Models for Sentiment Analysis and Investment Strategy Development in Financial Markets by Yejoon Mun, Namhyoung Kim

“…This study investigates the application of large language models (LLMs) in sentiment analysis of financial news and their use in developing effective investment strategies. …”
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Development of 24-pulse Thyristor Converter with Optimal Power by LIANG Wenkun, LAI Yubin, FANG Changshi

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Development of a Joint Tumor Size–Overall Survival Modeling and Simulation Framework Supporting Oncology Development Decision‐Making by Herbert Struemper, Chetan Rathi, Morris Muliaditan, Sebastiaan C. Goulooze, Richard C. Franzese, Alejandro Mantero, Murad Melhem, Teun M. Post, Sandra A. G. Visser

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Enhancing Cybersecurity through Comprehensive Investigation of Data Flow-Based Attack Scenarios by Sara Abbaspour Asadollah, Shamoona Imtiaz, Alireza Dehlaghi-Ghadim, Mikael Sjödin, Marjan Sirjani

“…Our study proposes an enhanced approach to systematic threat modeling and data flow-based attack scenario analysis for integrating cybersecurity measures early in the development lifecycle. …”
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Interpretation of pharmacokinetic data in preclinical studies of new drugs. Single intravenous administration by S. V. Geodakyan

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