A5100401826- Cancer Mechanisms and Therapy
- Mechanisms of cancer metastasis
- Health, Environment, Cognitive Aging
- Cancer-related molecular mechanisms research
- Forest ecology and management
- Delphi Technique in Research
- Cardiovascular Health and Risk Factors
- Remote Sensing and LiDAR Applications
- Kruppel-like factors research
- Metastasis and carcinoma case studies
- Cancer-related gene regulation
- CO2 Sequestration and Geologic Interactions
- Circular RNAs in diseases
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Forest Ecology and Biodiversity Studies
- Enhanced Oil Recovery Techniques
- Air Traffic Management and Optimization
- Hydraulic Fracturing and Reservoir Analysis
- Video Coding and Compression Technologies
- Explainable Artificial Intelligence (XAI)
- MicroRNA in disease regulation
- Hydrocarbon exploration and reservoir analysis
- Image and Video Stabilization
- Cytokine Signaling Pathways and Interactions
University of Chinese Academy of Sciences
2024
Dalian Institute of Chemical Physics
2024
Chinese Academy of Sciences
2020-2024
Southwest Jiaotong University
2024
Xinyang Normal University
2009-2023
Xiangtan University
2023
Xinyang College of Agriculture and Forestry
2023
Sinopec (China)
2022-2023
Shanghai Academy of Spaceflight Technology
2023
Hengshui University
2023
Although adverse environmental exposures are considered a major cause of chronic diseases, current studies provide limited information on real-world chemical and related risks. For this study, we collected serum samples from 5696 healthy people patients, including those with 12 in China completed biomonitoring 267 chemicals via gas liquid chromatography-tandem mass spectrometry. Seventy-four highly frequently detected were used for exposure characterization risk analysis. The results show...
Accurate estimates of forest site productivity are an essential part management. Only a few approaches exist for estimating natural uneven-aged forests. This study compared two approaches: dominant height (DH)–dominant diameter (DD) modelling and DH–stand age (A) in terms their prediction accuracy productivity. We developed the models based on both algebraic difference approach (ADA) ADA with mixed-effects modelling. Data originated from four sets continuous measurements Mongolian Oak...
Accurate measurement of stem diameter is essential to forest inventory. As a millimeter-level measuring tool, terrestrial laser scanning (TLS) has not yet reached accuracy in measurements. The objective this study develop an accurate method for deriving the from TLS data. methodology by tape was adopted. cross-section at given height along determined. Stem points retrieval were extracted according cross-section. Convex hull calculated projection plane. Then, closed smooth curve interpolated...
Terrestrial laser scanning (TLS) can be used as a millimeter-level measurement tool for forest inventories. However, the stem diameter retrieval accuracy in sample plot is not yet convincing. The errors each step of algorithms must evaluated. In this study, six numerical calculation methods step, i.e., cylinder fitting (CYF), circle (CF), convex hull line (CLF), proposed caliper simulation method (CSM), closure B-spline curve (SP) and Bézier with global convexity (SPC), were applied to...
Counterfactual Explanations (CE) is the de facto method for providing insight and interpretability in black-box decision-making models by identifying alternative input instances that lead to different outcomes. This paper extends concept of CEs a distributional context, broadening scope from individual data points entire output distributions, named Distributional Explanation (DCE). In DCE, our focus shifts analyzing properties factual counterfactual, drawing parallels classical approach...
To investigate the release strategies of sterile mosquitoes for wild population control, we propose mathematical models interaction between two-mosquito populations incorporating impulsive releases ones. The long-term control model is first studied, and existence stability mosquito-extinction periodic solution are exploited. Thresholds amount period which can guarantee elimination mosquitos obtained. Then limited-time model, three different optimal in investigated. By applying a time...
The traditional stem model is inconsistent with the real geometry of stem. Terrestrial laser scanning (TLS) provides a possibility constructing realistic model. In this study, we present 3D model, which includes axis curve and cross-sectional profile curve, geometrical consistency parameter retrieval methods using TLS data. interpolated based on geometric central points, are calculated from slices formed by cross-sections. From shape characteristic clearly depicted in space. Stem parameters,...
Google Earth (GE) provides accurate and reliable global high-resolution images can obtain the coordinates of any point on Earth's surface.A digital elevation model (DEM) is a dataset that quantitatively reflects surface.Although GE DEMs be used to position Earth, their open-access data affected by various factors, thereby inducing undesirable precision variability.Therefore, it essential estimate accuracy open-source DEMs.In this study, 325 high-precision GPS survey points in 16 regions...
Stem volume is a very important parameter in forestry inventory and carbon storage. The stem estimated by most existing methods deviates from its true value because the irregularity of usually overlooked. In this study, we propose segment estimation based on tetrahedron model using TLS data. First, initial surface model, including lower, upper, outer triangular models, was gradually reconstructed. Next, subdivided edge subdivision. Then, closed without self-intersection obtained. Afterward,...
The electrical connection serves as a vital and abundant link in power, electronic equipment, systems, with the contact acting its core component. In practical working conditions, fretting wear occurs during usage of contacts, leading to surface destruction decline their performance. Determining degree on contacts is crucial for assessing failure engineering applications. This study focuses conducting tests copper material under different cycles while utilizing machine vision algorithms...
Time Series Representation Learning (TSRL) focuses on generating informative representations for various (TS) modeling tasks. Traditional Self-Supervised (SSL) methods in TSRL fall into four main categories: reconstructive, adversarial, contrastive, and predictive, each with a common challenge of sensitivity to noise intricate data nuances. Recently, diffusion-based have shown advanced generative capabilities. However, they primarily target specific application scenarios like imputation...
This paper studies how to integrate the smart charging of large-scale electric vehicles (EVs) into generation and storage expansion planning (GSEP), while analyzing impact on GSEP a real power system in south China. For this purpose, random simulation-based method is first developed provide tractable formulations adjustable load reserve provision from EVs. avoids unrealistic assumption that EVs drive charge every day, which often exists prior relevant approaches. Based simulation, proposes...
Counterfactual explanations (CE) identify data points that closely resemble the observed but produce different machine learning (ML) model outputs, offering critical insights into decisions. Despite diverse scenarios, goals and tasks to which they are tailored, existing CE methods often lack actionable efficiency because of unnecessary feature changes included within presented users stakeholders. We address this problem by proposing a method minimizes required while maintaining validity CE,...
A tree skeleton reflects the geometric and structural characteristics of a tree. Terrestrial laser scanning (TLS) provides an effective means to construct skeletons that can capture surface topological features trees. However, it is difficult located at centre with detailed hierarchy branches because natural intricate topology defects point cloud scanned by TLS. In this study, we presented tree-skeletonization method based on density-based spatial clustering applications noise (DBSCAN) using...
research-article A Douglas-Peucker Algorithm Combining Node Importance and Radial Distance Constraints Share on Authors: Xiaofei Wang Chengdu Normal University, China ChinaSearch about this author , Jie Zhang Lei You Authors Info & Claims AIAM2021: 2021 3rd International Conference Artificial Intelligence Advanced ManufactureOctober Pages 265–269https://doi.org/10.1145/3495018.3495063Online:14 March 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12...
The improvement of resolution digital video requires a continuous increase computation invested into Frame Rate Up-Conversion (FRUC). In this paper, we combine the advantages Edge-Preserved Filtering (EPF) and Bidirectional Motion Estimation (BME) in an attempt to reduce computational complexity. inaccuracy BME results from existing similar structures texture regions, which can be avoided by using EPF remove details frames. filters out high-frequency components, so each frame subsampled...