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Yunzhou Chen, Shumin Wang, Ziying Gu and Fan Yang
Spatial population distribution data is the discretization of demographic data into spatial grids, which has vital reference significance for disaster emergency response, disaster assessment, emergency rescue resource allocation, and post-disaster recons...
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Munum Hassan, Kinza Saif, Muhammad Saad Ijaz, Zouina Sarfraz, Azza Sarfraz, Karla Robles-Velasco and Ivan Cherrez-Ojeda
The Central African Region is an agricultural and fishing-based economy, with 40% of the population living in rural communities. The negative impacts of climate change have caused economic/health-related adverse impacts and food insecurity. This original...
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Cihan Ates, Dogan Bicat, Radoslav Yankov, Joel Arweiler, Rainer Koch and Hans-Jörg Bauer
In this study, we propose a population-based, data-driven intelligent controller that leverages neural-network-based digital twins for hypothesis testing. Initially, a diverse set of control laws is generated using genetic programming with the digital tw...
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Ka-Shing Cheung and Daniel Wong
Moving homes has long been considered stressful, but how stressful is it? This study is an original attempt to utilise a micro-level individual dataset in the New Zealand Government?s Integrated Data Infrastructure (IDI) to reconstruct the Social Readjus...
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Christoph Tholen, Tarek A. El-Mihoub, Lars Nolle and Oliver Zielinski
In this study, a set of different search strategies for locating submarine groundwater discharge (SGD) are investigated. This set includes pre-defined path planning (PPP), adapted random walk (RW), particle swarm optimisation (PSO), inertia Levy-flight (...
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Yung-En Tsai, Yi-Hao Chen, Chien-An Sun, Chi-Hsiang Chung, Wu-Chien Chien and Ke-Hung Chien
Background: This study aimed to investigate the associated risk between using fibrate and open-angle glaucoma (OAG) in hyperlipidemic patients from the National Health Insurance Research Database (NHIRD). Methods: We collected data over a 16-year period ...
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Margarita María Manosalvas,Juan Camilo Rave
We analyze institutions and social constructions as constituent parts of the policymaking process. We use Ingram and Schneider?s policy design framework, which suggests that, in degenerative contexts, policymakers distribute burdens and benefits to the p...
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Aleksei Vakhnin and Evgenii Sopov
Unconstrained continuous large-scale global optimization (LSGO) is still a challenging task for a wide range of modern metaheuristic approaches. A cooperative coevolution approach is a good tool for increasing the performance of an evolutionary algorithm...
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Zhenglong Li and Vincent Tam
Meta-heuristic algorithms have successfully solved many real-world problems in recent years. Inspired by different natural phenomena, the algorithms with special search mechanisms can be good at tackling certain problems. However, they may fail to solve ...
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Mirela Tiglis, Ileana Peride, Iulia Alexandra Florea, Andrei Niculae, Lucian Cristian Petcu, Tiberiu Paul Neagu, Ionel Alexandru Checherita and Ioana Marina Grintescu
Objectives. Population-based studies regarding renal replacement therapy (RRT) used in critical care populations are useful to understand the trend and impact of medical care interventions. We describe the use of RRT and associated outcomes (mortality an...
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