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Deep reinforcement learning and robust SLAM based robotic control algorithm for self-driving path optimization.
Front Neurorobot
January 2025
School of Information and Communication Engineering, Hainan University, Haikou, China.
A reward shaping deep deterministic policy gradient (RS-DDPG) and simultaneous localization and mapping (SLAM) path tracking algorithm is proposed to address the issues of low accuracy and poor robustness of target path tracking for robotic control during maneuver. RS-DDPG algorithm is based on deep reinforcement learning (DRL) and designs a reward function to optimize the parameters of DDPG to achieve the required tracking accuracy and stability. A visual SLAM algorithm based on semantic segmentation and geometric information is proposed to address the issues of poor robustness and susceptibility to interference from dynamic objects in dynamic scenes for SLAM based on visual sensors.
View Article and Find Full Text PDFThe health effect of relaxing entry regulation for private hospitals and its nonlinear characteristics: evidence from China.
Front Public Health
January 2025
China Institute of Regulation Research, Zhejiang University of Finance and Economics, Hangzhou, China.
Introduction: Relaxing entry regulation for private hospitals and fostering competition in the healthcare market are crucial prerequisites for addressing the diverse healthcare demands of the population and promoting the development of a Healthy China. This study aims to comprehensively evaluate the health effect of relaxing entry regulation for private hospitals and to examine its nonlinear characteristics.
Methods: Using panel data from 31 provinces in mainland China, this study employs a fixed effects panel data model to investigate the health effect of relaxing entry regulation for private hospitals.
Molecular modeling to elucidate the dynamic interaction process and aggregation mechanism between natural organic matters and nanoplastics.
Eco Environ Health
March 2025
College of Natural Resources and Environment, Northwest A & F University, Xianyang 712100, China.
The interactions of nanoplastics (NPs) with natural organic matters (NOMs) dominate the environmental fate of both substances and the organic carbon cycle. Their binding and aggregation mechanisms at the molecular level remain elusive due to the high structural complexity of NOMs and aged NPs. Molecular modeling was used to understand the detailed dynamic interaction mechanism between NOMs and NPs.
View Article and Find Full Text PDFDynamics of urban green spaces in a megacity under the green economy framework and their influencing factors: a case study of Chongqing urban area.
Front Public Health
January 2025
College of Business Administration, Chongqing Vocational and Technical University of Mechatronics, Chongqing, China.
Introduction: In the context of escalating public health crises in megacities, promoting green and healthy urban spatial development is crucial. It not only contributes to economic growth and environmental sustainability but also significantly impacts the public health of urban residents.
Methods: This study utilized land use data from 2000 to 2021 in Chongqing, China, to investigate the characteristics and patterns of change in urban green space distribution.
Tracing microbial community across endophyte-to-saprotroph continuum of (L.) Presl leaves considering priority effect of endophyte on litter decomposition.
Front Microbiol
January 2025
College of Tourism and Management Engineering, Jishou University, Zhangjiajie, China.
Endophytes typically coexist with plants in symbiosis and transition into the saprobic system as plant tissues senesce, participating in the decomposition process of litter. However, the dynamic changes of endophytic communities during this process and their role in litter decomposition remain unclear. This study tracked the microbial composition across the transition from live leaves to litter in (L.
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