Will Central Bank Digital Currencies (CBDC) and blockchain cryptocurrencies coexist in the post quantum era? by Abraham Itzhak Weinberg, Pythagoras Petratos, Alessio Faccia

“…Furthermore, it features discussions of the influence of anticipated advances in quantum computing on algorithms and their applications. The paper renders the judicious conclusion that long-term coexistence is viable provided challenges are constructively addressed through ongoing collaborative efforts to validate solutions and guide evolving policies.…”
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Big data and AI for gender equality in health: bias is a big challenge by Anagha Joshi, Anagha Joshi, Anagha Joshi

“…Advanced machine learning tools blindly integrated without properly understanding and correcting for socio-cultural sex and gender biased practices and policies is therefore unlikely to result in sex and gender equality in health.…”
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GLOBAL TRENDS ON RESEARCH TOWARDS THE VALUATION PROCESS OF AN AGRICULTURE LAND by Silvia CHIOREAN, Iulia COROIAN, Tudor SĂLĂGEAN, Mircea Emil NAP, Jutka DEAK, Ioan LUPUȚ

“…Concurrently, it seeks to accentuate the interconnectedness across various domains of study, encompassing strategic management, agronomy, ecology, agricultural practices, and agricultural policies. Advanced technologies such as satellite imagery, remote sensing, and Geographic Information System (GIS) tools are being integrated for more accurate and efficient land valuation. …”
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The intersection of AI and learning analytics: Enhancing institutional performance by Thabisa Maqoqa

“…Integrating Artificial Intelligence (AI) and Learning Analytics (LA) in educational settings signifies a significant shift in leveraging data to enhance institutional effectiveness. …”
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AEM-D3QN: A Graph-Based Deep Reinforcement Learning Framework for Dynamic Earth Observation Satellite Mission Planning by Shuo Li, Gang Wang, Jinyong Chen

“…Extensive experiments conducted under both periodic and emergency planning scenarios demonstrate that AEM-D3QN outperforms state-of-the-art algorithms in scheduling efficiency, response time, and task completion rate. …”
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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

“…The study utilized data related to socioeconomic features from MICS 2017–2018 and climatic data from Integrated Contextual Analysis. A multi-model approach was employed to address the research questions, which included Ordinary Least Squares Regression (OLS), various Spatial Models, Machine Learning Algorithms and Explainable Artificial Intelligence methods. …”
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EFFECTS OF COVID-19 PANDEMIC ON DENTISTRY SERVICES AND ETHIC by Gülsüm Ak, Sabire Değer İşler, Kadriye Peker, Özen Doğan Onur, Mustafa Mert Açıkgöz

“…Countries have created various guidelines and algorithms for the implementation of dental services in line with their own health policies. …”
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Predicting mortality risk in Alzheimer’s disease using machine learning based on lifestyle and physical activity by Ruihong Tang, Liang Tan, Xia Chen, Zhengwu Shan, Zhao Zhang, Panpan Cheng

“…Model performance was evaluated using the integrated area under the curve (iAUC), integrated Brier score/prediction error (iBS/PE), and concordance index (C-index). …”
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Socio-Economical Analysis of a Green Reverse Logistics Network under Uncertainty: A Case Study of Hospital Constructions by Alireza Alibakhshi, Amirreza Saffarian, Erfan Hassannayebi

“…It suggests potential future directions, such as the application of metaheuristic algorithms and improved stochastic planning methods.…”
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Evaluating ecological impacts through geospatial analysis of land use land cover dynamics in Jarmet wetland ecosystems in Western Ethiopia by Amanuel Kumsa Bojer, Ayad M. Fadhil Al-Quraishi, Saralees Nadarajah

“…These LULCCs, driven primarily by human activities, threaten the ecological integrity of the Jarmet wetland. The study offers recommendations for sustainable conservation and management, emphasizing the need for comprehensive environmental policies to prevent further ecological degradation.…”
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Assessing Climate Change Impacts on Cropland and Greenhouse Gas Emissions Using Remote Sensing and Machine Learning by Nehir Uyar, Azize Uyar

“…The study highlights the effectiveness of machine learning in quantifying emission dynamics and underscores the necessity of sustainable land management strategies to mitigate greenhouse gas emissions. By integrating remote sensing and data-driven methodologies, this research contributes to climate change mitigation policies and precision agriculture strategies aimed at balancing food security and environmental sustainability.…”
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Modeling the impact of climate change on suitable areas for the underutilized crop Cyperus esculentus (tiger nut) and implications for production expansion and conservation in Togo... by Koffi Kibalou Palanga, Anissou Bawa, Jacques Idohou Kadjogbé Ayena, Dowo Michée Adjacou, Thierry Dèhouégnon Houehanou, Gérard Nounagnon Gouwakinnou, Armand Kuyema Natta

“…These results highlight the need to rethink tiger nut management policies in Togo, focusing actions on introducing the crop in newly suitable areas, supporting affected producers, and integrating the identified priority areas into national climate change adaptation strategies.…”
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Proactive Data Placement in Heterogeneous Storage Systems via Predictive Multi-Objective Reinforcement Learning by Suchuan Xing, Yihan Wang

“…Existing tiered storage systems predominantly employ reactive policies that respond to observed access patterns, leading to suboptimal performance under dynamic workloads and failing to address multi-objective optimization requirements. …”
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Radiometric landscape: a new conceptual framework and operational approach for landscape characterisation and mapping by Louise Lemettais, Samuel Alleaume, Sandra Luque, Anne-Élisabeth Laques, Yonas Alim, Laurent Demagistri, Agnès Bégué

“…The production of such radiometric landscape maps opens the way for integrated territorial development, including the planning and protection of the living environment and human well-being, and the implementation of sectoral policies.…”
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Assessing the Level of Understanding (Knowledge) and Awareness of Diagnostic Imaging Students in Ghana on Artificial Intelligence and Its Applications in Medical Imaging by James William Ampofo, Christian Ven Emery, Ishmael Nii Ofori

“…Decision-makers should implement educational policies that integrate AI education into the current medical imaging curriculum to prepare students for the future. …”
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Potential distribution of endemic lizards from Brazilian restingas: The present announcing the end by Hugo Andrade, Luisa Maria Diele‐Viegas Costa Silva, Carlos Frederico Duarte Rocha, Antônio Jorge Suzart Argôlo, Eduardo José dos Reis Dias

“…We propose creating planning policies using space and time criteria and developing long‐term studies, besides promoting educational programs aiming at environmental conservation. …”
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Thermal comfort and energy related occupancy behavior in Dutch residential dwellings by Anastasios Ioannou

“…Such pattern recognition algorithms can be more effective in the era of mobile internet, which allows the capturing of huge amounts of data. …”
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