A5004955614- Energy, Environment, Economic Growth
- Smart Grid and Power Systems
- Environmental Impact and Sustainability
- Smart Grid Security and Resilience
- Geomechanics and Mining Engineering
- Privacy-Preserving Technologies in Data
- Remote Sensing and Land Use
- Transportation Planning and Optimization
- IoT and Edge/Fog Computing
- Energy, Environment, and Transportation Policies
- Advanced Optical Network Technologies
- Access Control and Trust
- Green IT and Sustainability
- Recommender Systems and Techniques
- IoT Networks and Protocols
- Traffic control and management
- Stochastic processes and financial applications
- Plant and Fungal Species Descriptions
- Smart Grid Energy Management
- Power Line Communications and Noise
- Satellite Communication Systems
- Big Data Technologies and Applications
- Environmental Sustainability in Business
- Network Security and Intrusion Detection
- Anomaly Detection Techniques and Applications
South China Agricultural University
2025
First Affiliated Hospital of Xi'an Jiaotong University
2025
Beijing University of Technology
2024-2025
Northeast Agricultural University
2023-2024
Chang'an University
2024
Hainan Agricultural School
2024
Nanjing University of Posts and Telecommunications
2023-2024
Nanjing University of Finance and Economics
2024
Guangdong Ocean University
2023-2024
State Grid Corporation of China (China)
2022-2023
This paper investigates the impact of digital economy on urban environmental pollution by analyzing panel data from 283 prefecture-level cities in China 2011 to 2019 and using technology comprehensive pilot zone as a natural experiment. The results demonstrate that has significant effect reducing pollutant emissions empowering governance. findings are proven be robust based various tests, including parallel trend, PSM-DID, placebo tests. Our analysis further shows is particularly effective...
Abstract High-risk neuroblastoma, a leading cause of pediatric cancer mortality, exhibits substantial intratumoral heterogeneity, contributing to therapeutic resistance. To understand tumor microenvironment evolution during therapy, we longitudinally profiled 22 patients with high-risk neuroblastoma before and after induction chemotherapy using single-nucleus RNA ATAC sequencing whole-genome sequencing. This revealed profound shifts in immune cell subpopulations therapy identified...
Bruxism is a masticatory muscle activity characterized by high prevalence, widespread complications, and serious consequences but without specific guidelines for its diagnosis treatment. Although occlusal force-based biofeedback therapy proven to be safe, effective, with few side effects in improving bruxism, mechanism key technologies remain unclear. The purpose of this study was research real-time, quantitative, intelligent, precise detection device based on artificial intelligence (AI)...
Abstract Psychiatric patients have become the focus of public attention, and current research suggests a possible link between Toxoplasma gondii (T. gondii) infection mental illness. To understand situation T. in psychiatric study area, relationship diseases, influence on patients, this examined 3101 inpatients from 2015 to 2020. All people included were tested for anti- IgM antibody IgG antibody. Additionally, 4040 individuals general population as controls. The chi-square test logistic...
Scheduling decisions for concurrent emergency response (CER) across multiple disaster sites presents numerous difficulties. The main challenge is to minimize human casualties while taking into account the rationality of resource allocation different sites. This paper establishes a joint scheduling model vehicles on freeways in context CER. aims transportation time, dispatch cost, and casualty risk, by using site scheme as decision variable, addressing Specifically, risk function based rescue...
Currently, object detection based on deep learning has received extensive research and attention in the field of grid inspection, achieving high accuracy recognition precision. However, pre-trained models lack overall perception reasoning capabilities, resulting higher false positives missings due to a holistic understanding challenging samples. Recently, combination natural language image multi-modal large gained significant attention. In this paper, we propose Grid-Blip model, model...
The aim of the current study was twofold: (a) to construct an Interactive Three-Phase Structure for table tennis performance analysis and (b) apply proposed structure elite men's singles matches. makes improvements over former ones in following aspects: more comprehensive variables consisting bilateral actions covering whole rally competing process, a better phase division method fitting real match situation focused achieved by designed critical phase. 56 matches (5507 rallies) conducted...
The Baolun is the largest gold deposit on Hainan Island, South China, with proven reserves of over 80 t Au at an average grade 10.3 g/t. Two economic types mineralization coexist in long-lived fault system: 1) Au-bearing sulfide quartz veins (Va), dominated by pyrite, pyrrhotite, and arsenopyrite; 2) Au-Bi assemblage (Vb), bismuthinite, maldonite, native bismuth. district has a long history tectonic reactivation, involving crustal compression extension, magmatic activity, multiple episodes...
With the rapid development of Internet Things applications, power technologies and applications covering various production links grid "transmission, transmission, transformation, distribution use" are becoming more popular, terminal, network application security risks brought by them receiving attention. Combined with architecture risk Things, this paper first proposes overall protection technology system strategy for Things; then analyzes terminal identity authentication authority control,...
Environmental regulation (ER) is essential to preventing agricultural non-point source pollution (ANSP). Prior research has focused on the effect of ER (AP), but little known about impact following digitization AP, particularly ANSP. Based spatial heterogeneity, was examined using a geographic detector tool with provincial panel data from 2010 2020 in rural China. The results show that driver ANSP, primarily because constraint farmers’ behavior. Digitization positively affects prevention as...
As an important stage in the development of autonomous driving, mixed traffic conditions, consisting connected vehicles (CAVs) and human-driven (HDVs), have attracted more attention. In fact, randomness (HDV) is largest challenge for (CAV) to make reasonable decisions, especially lane change scenarios. this paper, we propose problem decisions CAV low visibility conditions first time. First, consider HDV environment construct a finite state machine (FSM) model. Then, study develops partially...
Power communication network plays a crucial role in the power system infrastructure. However, its rapid development has led to significant increase real-time alarm volume, posing great challenges management personnel. In event of fault, impact on normal work and daily life users can be substantial. Thus, fault prediction for is essential effective equipment maintenance, as well improving reliability. this paper, we propose multichannel model based an improved DenseNet Transformer. This...
In response to the challenge of low accuracy in node trust evaluation due high dynamics entry and exit drone cluster nodes, we propose a hierarchical blockchain-based measurement method for nodes. This overcomes difficulties related inheritance dynamic re-evaluation clusters, integrated calculation By utilizing multi-layer unmanned blockchain trusted historical data storage verification, achieve scalability measuring intermittent across time intervals, ultimately improving We design...
In this paper, we mainly focus on the problems of data processing and security in environment electricity big systems. Firstly, focused storage, as well applications, including classification, aggregation mining demands. We proposed several practicable schemes to applications. After that, studied problem privacy prevention processing. analyzed demands smart grid, also methods. Based previous researches, put forward outline research hotspots for protection.
Carbon productivity incorporates economic development and carbon emissions within a unified framework for measuring the value per unit emissions. In context of climate change, improving is great promoting low-carbon in country or region. From perspective embodied emissions, this study constructs an (ECP) index uses Logarithmic Mean Divisia Index decomposition method to evolution trends driving factors ECP China's provinces based on China Interregional Input-Output Tables 2002, 2007, 2012,...
To effectively combat climate change and put plans in place to enhance the health quality of forests, research on connections between long-term tree ring width is essential. Here, Pinus densiflora Siebold & Zucc. Robinia pseudoacacia L. Mount Tai area were studied. Specifically, their characteristics investigated according principles dendrochronology, based analysis multiyear data (1972–2022). The results showed that (1) variation generally decreased. Its basal increment sequence...