Digital resource engagement, health challenges, and mathematical achievement in school children: An in-depth analysis of PISA data 2022 by Dirgha Raj Joshi, Jeevan Khanal

“…Structural equation modeling demonstrates that health problems and direct use of digital resources have a negative impact on achievement. …”
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Model-Based AUV Path Planning Using Curriculum Learning and Deep Reinforcement Learning on a Simplified Electronic Navigation Chart by Łukasz Marchel, Rafał Kot, Piotr Szymak, Paweł Piskur

“…Deep Reinforcement Learning (DRL)-based algorithms have demonstrated substantial effectiveness in tackling complex control problems for autonomous underwater vehicles (AUVs). …”
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Multi-Objective Optimization of Injection Parameters and Energy Consumption Based on ANN-Differential Evolution by Devic Oktora, Yu-Hung Ting, Sukoyo

“…Artificial neural networks (ANNs) specifically have demonstrated exceptional performance in problems involving nonlinear modeling. …”
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Model guided trait-specific co-expression network estimation as a new perspective for identifying molecular interactions and pathways. by Juho A J Kontio, Tanja Pyhäjärvi, Mikko J Sillanpää

“…A wide variety of 1) parametric regression models and 2) co-expression networks have been developed for finding gene-by-gene interactions underlying complex traits from expression data. …”
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Assessment and correction of the risk of cardiac complications during non-cardiac surgery by A. N. Sumin

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Functional characterization of elderly people in the rural community of “Lagunillas”. January-March 2004. by Marly Delgado Navarro, Luz María Díaz Hernádez, Fidelina Bravo Vargas

“…<strong>Fundament:</strong> Aging in human beings is the result of a very complex interaction of biological, psychological and social factors. …”
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Policy evaluation on the distribution of disaster stimulant funds in Palu city by Nuraisyah Nuraisyah, Erdiyansyah Erdiyansyah, Aldi Aldi

“…The results of this study showed that the distribution of disaster stimulant funds in Palu City was not effective as the fund was only enjoyed by certain groups and had not solved community problems. This means that there are many complaints from the affected community as they have not been registered as a beneficiary of stimulant funds.This research contributes to the development of public policies related to the policy of distributing stimulant funds for victims of natural disasters consisting of earthquakes, tsunamis, and liquefaction, so policy formulation needs to be designed comprehensively so that it becomes a recommendation for the future because policies related to earthquake, tsunami, and liquefaction disasters have not previously occurred anywhere in the world so that the findings of this study become recommendations for the government in handling increasingly complex natural disasters.…”
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Dimensional Synthesis of Parallel Robots Using Bilevel Optimization for Design Optimization and Resolution of Functional Redundancy by Moritz Schappler

“…However, some applications still have not yet been sufficiently or satisfactorily automated in which parallel robots could be advantageous. …”
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Exergetic calculation of the efficiency of heat pump installations for a private building by О. Стенін, В. Пасько, М. Солдатова, І. Дроздович

“… Despite the fact that important results have been obtained in a number of works that facilitate the calculation and design of heat supply systems based on ground heat pump installations taking into account the thermophysical processes occurring in the soil, at the same time there are problems that remain unsolved and require additional studies. …”
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Embedded intelligence and the data-driven future of application-specific Internet of Things for smart environments by Li-Minn Ang, Kah Phooi Seng, Monica Wachowicz

“…In this article, we give an introduction and review recent developments of embedded intelligence for the Internet of Things; the various embedded intelligence computational frameworks such as edge, fog, and cloud for the application-specific Internet of Things; and highlight the techniques, challenges, and opportunities for effective deployment of application-specific Internet of Things technology to address complex problems for various smart environments and applications.…”
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Civic Participation in Local Government by Alexander Aleksandrovich Alexandrov, Irina Sergeevna Tarbeeva

“…Authors have obtained empirical data on practice of civil participation in local government and have revealed problems which interfere with civil participation in local government. …”
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Development of personalized profiles of students with autism spectrum disorder for interactive interventions with robots to enhance language and social skills by Javier Herrero-Martín, David Fonseca, Selene Caro-Via, Xavi Canaleta

“…Motivation levels and engagement have also increased, and social interactions with their peers have improved.…”
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Cybersecurity of the municipal infrastructure by S. V. Kaliakin, Yu. M. Onishchenko, V. V. Nosov

“…The impact of the latest information technologies (such as the Internet of Things, artificial intelligence, blockchain) on the development of municipal infrastructure, the use of these technologies to protect critical infrastructure from cyberattacks, their advantages and disadvantages compared to classical security technologies have been considered. Particular attention has been paid to the problems of safe automation of modern city management processes such as automation of traffic control systems, environmental monitoring systems, financial systems, power grids, water and gas supply systems, communication systems, and control systems for wastewater treatment plants. …”
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Holographic Interferometer for the Study of Phase Media, Which Has Four Output Channels of Different Sensitivity by Yusupzhan Kh. Ismanov, Nasipbek K. Dzhamankyzov

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Fuzzy Set and Soft Set Theories as Tools for Vocal Risk Diagnosis by José Sanabria, Marinela Álvarez, Osmin Ferrer

“…Mathematical tools such as fuzzy set theory and soft set theory have been successfully applied for data analysis in many real-life problems where there is presence of vagueness and uncertainty in the data. …”
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Pathology of the Organs of Vision in Metallurgists by A. L. Onischenko, A. V. Kolbasko, M. A. Melnichenko, S. N. Filimonov

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Development of scientific concepts on abuse of law in national jurisprudence by K. M. Hurtova

“…The article defines the abuse of law as one of the most important problems of modern legal science, as well as a complex and controversial legal category, the relevance of which is directly related to the level of development of democracy, stability in the state and society, traditions of law-abiding and strict observance of human and citizen rights, research which have both theoretical and applied interest for the development of domestic legal science. …”
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Resource-Constrained Specific Emitter Identification Based on Efficient Design and Network Compression by Mengtao Wang, Shengliang Fang, Youchen Fan, Shunhu Hou

“…Specific emitter identification (SEI) methods based on deep learning (DL) have effectively addressed complex, multi-dimensional signal recognition tasks by leveraging deep neural networks. …”
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Advances in the Application of Intelligent Algorithms to the Optimization and Control of Hydrodynamic Noise: Improve Energy Efficiency and System Optimization by Maosen Xu, Bokai Fan, Renyong Lin, Rong Lin, Xian Wu, Shuihua Zheng, Yunqing Gu, Jiegang Mou

“…Traditional physical experiments, theoretical modeling, and numerical simulation methods occupy a key position in hydrodynamic noise research, but each have their own limitations: physical experiments are limited by experimental conditions, which make it difficult to comprehensively reproduce the characteristics of the complex flow field; theoretical modeling appears to be simplified and idealized to cope with the multiscale noise mechanism; and numerical simulation methods, although accurate, are deficient in the sense that they are computationally expensive and difficult to adapt to complex boundary conditions. …”
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Digital twin technology training and research in health higher education: a review by Jyri Rajamäki

“…Since humans are in many ways more complex than CPSs, security engineers have a lot to learn from VHTs in maintaining the resilience of CPSs. …”
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