A5100702380- Land Use and Ecosystem Services
- Healthcare Systems and Reforms
- Urban Green Space and Health
- Food Quality and Safety Studies
- Text and Document Classification Technologies
- Global Maternal and Child Health
- Polysaccharides Composition and Applications
- Adversarial Robustness in Machine Learning
- Chronic Disease Management Strategies
- Thermal Analysis in Power Transmission
- Global Health Care Issues
- Urban Planning and Valuation
- Vibration and Dynamic Analysis
- Complex Systems and Time Series Analysis
- Power Line Inspection Robots
- Machine Learning and Data Classification
- Photonic and Optical Devices
- Theoretical and Computational Physics
- Metallic Glasses and Amorphous Alloys
- Topic Modeling
- Food Industry and Aquatic Biology
- Human Pose and Action Recognition
- Sentiment Analysis and Opinion Mining
- Innovation Policy and R&D
- Dental Trauma and Treatments
Xi'an University of Science and Technology
2025
University of Chinese Academy of Sciences
2024
Beijing University of Civil Engineering and Architecture
2022-2024
Peking University
2018-2024
Liaoning Academy of Agricultural Sciences
2024
Nanjing University of Science and Technology
2023
Northeast Electric Power University
2016-2023
Jinhua Polytechnic
2023
Beihang University
2023
Rutgers, The State University of New Jersey
2023
The contribution of biodiversity to the global economy, human survival, and welfare has been significantly increasing. However, nature reserves have long subject a sequence ecological environmental issues caused by activities. Therefore, quantitatively assessing spatiotemporal evolution characteristics habitat quality due land use changes exploring mechanisms potential influencing factors can provide scientific basis for stable sustainable development natural ecosystems. This study aims...
Urban renewal, as an important means of promoting sustainable urbanization in the stock era, is essentially a process redistributing land appreciation benefits caused by spatial development rights. However, current literature mostly analyzes traditional two-dimensional renewal model from perspective market mechanisms, which leads to inability urban mechanisms adapt development. Therefore, taking Shenzhen example, our study aims understand mechanism three-dimensional Using geographically...
Abstract Background Verticillium wilt, caused by the fungus dahliae , is a soil-borne vascular fungal disease, which has great losses to cotton yield and quality worldwide. The strain KRS010 was isolated from seed of wilt-resistant Gossypium hirsutum cultivar “Zhongzhimian No. 2.” Results broad-spectrum antifungal activity various pathogenic fungi as Botrytis cinerea Fusarium spp., Colletotrichum Magnaporthe oryzae inhibition rate V. mycelial growth 73.97% 84.39% respectively through...
Urban park green spaces exhibit significant cool island effects, which can effectively mitigate the urban heat environment. Clarifying characteristics and differences in effects of parks across different spatial gradients within cities is instrumental identifying potential issues optimizing structure resource allocation a scientifically rational manner. This study focuses on central area Beijing, utilizing remote sensing image interpretation land surface temperature (LST) inversion to...
Large area tiled displays are gaining popularity for use in collaborative immersive virtual environments and scientific visualization. While recent work has addressed the issues of geometric registration, rendering architectures, human interfaces, there been relatively little on photometric calibration general, non-uniformity particular. For example, as a result differences characteristics projectors, color intensity large display varies from place to place. Further, imagery typically...
Cognitive competency is an essential complement to the existing ship pilot screening system that should be focused on. Situation awareness (SA), as cognitive foundation of unsafe behaviors, susceptible influencing piloting performance. To address this issue, paper develops identification model based on random forest- convolutional neural network (RF-CNN) method for detecting at-risk (i.e., low SA level) using wearable EEG signal acquisition technology. In poor visibility scene, pilots'...
Abstract Hydrogen energy is pivotal in the transition due to its high efficiency and zero-emission characteristics. However, potential for explosions constrains broader application. Gaining insights into dynamics of overpressure hydrogen vital safe design explosion-proof facilities determination equipment spacing. This study investigates open spaces 1 m³ 27 volumes, analyzing flame propagation distribution. It also evaluates accuracy three theoretical models predicting peak overpressure. The...
Despite being pretrained on multilingual corpora, large language models (LLMs) exhibit suboptimal performance low-resource languages. Recent approaches have leveraged encoders alongside LLMs by introducing trainable parameters connecting the two models. However, these methods typically focus encoder's output, overlooking valuable information from other layers. We propose \aname (\mname), a framework that integrates representations all encoder layers, coupled with \attaname mechanism to...
Robot dance is an important topic in robotics. Conventional robot systems mainly rely on beats or rhythms of music; however, these conventional suffer from limited styles and less action novelty. In this paper, we instead develop a humanoid system driven by musical structures emotions. the proposed system, phrase are considered as basic structural units music dance, respectively. A phrasing algorithm based theories created to divide piece into sequence phrases. When emotion each has been...
Hierarchical text classification (HTC) is a challenging subtask of multi-label as the labels form complex hierarchical structure. Existing dual-encoder methods in HTC achieve weak performance gains with huge memory overheads and their structure encoders heavily rely on domain knowledge. Under such observation, we tend to investigate feasibility memory-friendly model strong generalization capability that could boost without prior statistics or label semantics. In this paper, propose...
Application services in cloud computing model have complex scheduling, composition, configuration and deployment conditions, even the multi-condition requirements, it can also be based on change of time to schedule virtual services. Therefore, demand optimizing scheduling strategy ensure data security recovery ability is increasingly prominent. This paper proposes a trusted distributed audit method for task which used storage information cluster. mainly uses solution that combines block...
Background: Neuronal apoptosis is a major contributor to Alzheimer's disease (AD). Periodontitis significant risk factor for AD. The periodontal pathogens Porphyromonas gingivalis and Treponema denticola have been shown initiate the hallmark pathologies behavioral symptoms of Studies found that T. infection induced Tau hyperphosphorylation amyloid β accumulation in hippocampi mice. Aβ closely associated with neuronal apoptosis. However, roles remain unclear its AD pathology need further...
Recent advancements on Large Language Models (LLMs) enable AI Agents to automatically generate and execute multi-step plans solve complex tasks. However, since LLM's content generation process is hardly controllable, current LLM-based agents frequently invalid or non-executable plans, which jeopardizes the performance of generated corrupts users' trust in agents. In response, this paper proposes a novel ``Formal-LLM'' framework for by integrating expressiveness natural language precision...
Computational micro-spectrometers comprised of detector arrays and encoding structure arrays, such as on-chip Fabry-Perot (FP) cavity filters, have great potential in many in-situ applications owing to their compact size snapshot imaging ability. Given manufacturing deviation environmental influence are inevitable, easy effective calibration for spectrometer is necessary, especially applications. Currently strategies based on iterative algorithms or neural networks require accurate...
China has made intensive efforts to eliminate extreme poverty by 2020. This paper aims evaluate the changes in health service needs, utilization, and medical expenses for poor people during alleviation period.The study used data from national services surveys 2013 2018. The were identified certified local government. Health expenses, reimbursement rates analyzed compared between 2018, non-poor groups.People living usually elderly, illiterate, unemployed. had a significantly higher two-week...
In order to study the melting and falling off of iced conductor under DC ice process by considering a lgj-400 / 50 transmission as research object, Ansys LS-DYNA model is used for simulating response materials short periods high-intensity loads nonlinear structural dynamics establish finite element split system in actual process. analysis, solid45 layer layer. During calculation process, life death method transform its stiffness matrix near zero icing accurately situation during melting....