For many centuries, the issues of power, politics, and state have been widely discussed in scientific literature. Developing theories, philosophers proceeded from the side of hierarchical affiliation of power, which is confirmed in theological and biological concepts. Relevance of the presented article is conditioned by the fact that for the first time the French philosopher M. Foucault has offered innovative ideas of power concept from the social point of view. M. Foucault's works are of significant importance for modern researchers in various branches of science since he created a universal tool for the study of social relations. The objective of this study entails conducting a thorough examination of the development of his theory, as well as exploring diverse perspectives presented by scholars on this matter. The result of the research was a full-fledged analysis of the "power" category from the position of a comprehensive phenomenon, which penetrates the whole structure of the state, and not only selected organs or institutions. The main conclusion of the paper is that "power" is a complex social phenomenon that cannot be equated with categories such as "law", "discipline", "subordination", or "punishment".
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http://dx.doi.org/10.1007/s12124-023-09804-w | DOI Listing |
Sensors (Basel)
December 2024
Automation Department, North China Electric Power University, Baoding 071003, China.
Aiming at the severe occlusion problem and the tiny-scale object problem in the multi-fitting detection task, the Scene Knowledge Integrating Network (SKIN), including the scene filter module (SFM) and scene structure information module (SSIM) is proposed. Firstly, the particularity of the scene in the multi-fitting detection task is analyzed. Hence, the aggregation of the fittings is defined as the scene according to the professional knowledge of the power field and the habit of the operators in identifying the fittings.
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December 2024
Xuejiawan Power Supply Company, Ordos 010300, China.
Recently, massive intelligent applications have emerged for the smart grid (SG), such as inspection and sensing. To support these applications, there have been high requirements on wireless communication for the SG, especially in remote areas. To tackle these challenges, a UAV-assisted heterogeneous wireless network is proposed in this paper for the SG, where multiple UAVs and a macro base station collaboratively provide a wide range of communication services.
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December 2024
Department of Mobile Systems Engineering, Dankook University, Yongin 16890, Republic of Korea.
As proximity-aware services among devices such as sensors, IoT devices, and user equipment are expected to facilitate a wide range of new applications in the beyond 5G and 6G era, managing heterogeneous environments with diverse node capabilities becomes essential. This paper analytically models and characterizes the performance of heterogeneous random access-based wireless mutual broadcast (RA-WMB) with distinct transmit (Tx) power levels, leveraging a marked Poisson point process to account for nodes' various Tx power. In particular, this study enables the performance of RA-WMB with heterogeneous Tx power to be represented in terms of the performance of RA-WMB with a common Tx power by deriving an equivalent Tx power based on the probability distribution of heterogeneous Tx power and the path loss exponent.
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December 2024
Department of Molecular Biology and Genetics, Universitetsbyen 81, Aarhus University, 8000 Aarhus, Denmark.
Malaria poses a serious global health problem, with half the world population being at risk. Regular screening is crucial for breaking the transmission cycle and combatting the disease spreading. However, current diagnostic tools relying on blood samples face challenges in many malaria-epidemic areas.
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December 2024
Applied Biomechanics and Sport Technology Research Group, Autonomous University of Madrid, 28049 Madrid, Spain.
The countermovement jump (CMJ) is a widely used test to assess lower body neuromuscular performance. This study aims to analyze the validity and reliability of an iOS application using artificial intelligence to measure CMJ height, force, velocity, and power in unloaded and loaded conditions. Twelve physically active participants performed 12 CMJs with external loads ranging from 0% to 70% of their body mass while being simultaneously monitored with a pair of force platforms and the My Jump Lab application.
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