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Aimed at the poor recognition effect of current educational robots on objects with complex shapes and colors and the single design of related experiments, this paper proposes a robot teaching instrument. The robot adopts a servo motor with an encoder, a drive, and a variety of sensors to realize a motor current loop, speed loop, position loop, and closed-loop control functions. Three experimental schemes were designed: a PID adjustment experiment, a robot obstacle avoidance and object-grasping program writing experiment, and a complex object recognition experiment based on cascade classifiers. The robot is conducive to improving students' self-initiative ability, deepening their understanding of PID closed-loop control, multi-sensor fusion, and deep learning knowledge. It can improve students' programming ability, enabling them to effectively combine theory and practice, as well as to comprehensively apply professional knowledge.
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http://dx.doi.org/10.3390/s23021038 | DOI Listing |
Neuropsychiatr Dis Treat
September 2025
Department of Radiology, No. 926 Hospital, Joint Logistics Support Force of PLA, Kaiyuan, Yunnan, 661699, People's Republic of China.
Parkinson's disease (PD) represents a progressive neurodegenerative disorder with escalating global burden, with mechanistic studies revealing α-synuclein propagation through gut-brain axis, mitochondrial defects, and neuroinflammatory cascades driven by genetic-environmental interplay. Recent advancements in diagnostic paradigms have successfully combined α-synuclein seed amplification assays with multimodal neuroimaging techniques, achieving an impressive diagnostic accuracy of 92% during the prodromal stages of disease. Phase II trials highlight disease-modifying potential of α-synuclein-targeting immunotherapies (40% reduction in motor decline) and LRRK2 kinase inhibitors showing blood-brain barrier penetration.
View Article and Find Full Text PDFG Ital Nefrol
August 2025
Infermiere Professionale SSD Nefrologia e Dialisi P.O. Soverato, ASP CZ.
Management of diabetes mellitus in hemodialysis is highly complex due to increased glycemic variability and hypoglycemic risk. The use of technologies applied to diabetes has been shown to improve glycemic control, however data in dialysis patients are limited. To describe the efficacy and safety of the minimed 780G AHCL system in a stable hemodialysis patient and during hospitalization in the Intensive Care Unit (ICU).
View Article and Find Full Text PDFChemistry
September 2025
Beijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
Sequence-controlled polyester-based alternating copolymers have attracted significant interest due to their biocompatibility, biodegradability, closed-loop recyclability, and hydrolytic degradability, offering broad potential in biomedical and sustainable materials. Among the available strategies, regioselective ring-opening polymerization (ROP) of asymmetric cyclic di(thio)esters and cyclic(ester-amide)s has emerged as a promising approach for constructing alternating copolymers with precise sequence- and stereo-control, structural diversity, and tunable properties. This review classifies asymmetric cyclic monomers into two categories: (1) monomers with two aliphatic ester bonds, where regioselectivity is mainly dictated by steric differences and typically requires tailored metal catalysts; and (2) monomers with chemically distinct reactive sites (e.
View Article and Find Full Text PDFInt J Occup Saf Ergon
September 2025
College of Safety Science and Engineering, Civil Aviation University of China, China.
This study investigates how sustained governance of hidden hazards influences safety performance in port systems, using data from 54 production and key non-production enterprises within the Tianjin Port Group. Employing correlation analysis, regression modeling and mediation-moderation analysis, the study finds that both systematic hazard governance and standardized safety management significantly improve safety outcomes. Basic management-level governance directly reduces the frequency of incidents, while site-level governance enhances safety performance indirectly by promoting standardization.
View Article and Find Full Text PDFIn this article, a novel online adaptive control scheme is developed for the optimal control issues of integrated electric-gas systems with partially unknown dynamics, by combining the decentralized event-triggered mechanism and adaptive dynamic programming techniques. Initially, the complex electric-gas coupling network is modeled in the state-space form. By virtue of neural networks (NNs), the NN-based identifier and the critic NN are designed to approximate the unknown drift dynamic and the optimal value function in an online fashion, respectively.
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