A5009158041- Land Use and Ecosystem Services
- COVID-19 epidemiological studies
- Remote Sensing and Land Use
- COVID-19 Pandemic Impacts
- Evaluation Methods in Various Fields
- Conservation, Biodiversity, and Resource Management
- Remote Sensing in Agriculture
- Data-Driven Disease Surveillance
- Advanced Statistical Methods and Models
- Environmental Changes in China
- COVID-19 impact on air quality
- Hedgehog Signaling Pathway Studies
- Spatial and Panel Data Analysis
- Soil and Land Suitability Analysis
- Urban Transport and Accessibility
- Innovative Educational Techniques
- Advanced Computational Techniques and Applications
- Peptidase Inhibition and Analysis
- Global Cancer Incidence and Screening
- School Choice and Performance
- Advanced Statistical Process Monitoring
- Health disparities and outcomes
- Environmental Quality and Pollution
- Environmental Education and Sustainability
- Emergency and Acute Care Studies
Wuhan University
2004-2025
Soochow University
2024
Second Affiliated Hospital of Soochow University
2024
Guangzhou Xinhua University
2022-2023
Shenyang Pharmaceutical University
2023
Anhui Xinhua University
2022-2023
Hong Kong Baptist University
2022
Texas State University
2021
National University of Singapore
2005-2016
University of Washington
2015
Preface. Acronyms. 1. Introduction. 2. Parametric Mixed-Effects Models. 3. Nonparametric Regression Smoothers. 4. Local Polynomial Methods. 5. Spline 6. Smoothing Splines 7. Penalized 8. Semiparametric 9. Time-Varying Coefficient 10. Discrete Longitudinal Data. References. Index.
Lung cancer is a leading cause of mortality in oncological classifications, yet the impact various risk factors on lung (LCM) non-smokers remains unclear. This study aims to weigh out diverse multiple LCM rates and identify trends worldwide. We initially employed Random Forest Tree (RFT) Gradient Boosting Regression (GBR) common primary influencing LCM. After eliminating four factors, comparative analysis between partial Pearson correlations was conducted filter significant across 204...
Abstract It has been suggested previously that the Atlantic Meridional Overturning Circulation (AMOC) anomaly associated with changes in North Deep Water formation propagates southward an advection speed north of 34°N. In this study, using Geophysical Fluid Dynamics Laboratory Coupled Model version 2.1 (GFDL CM2.1), we show slow propagation AMOC is crucial for evolution and enhanced decadal predictability fingerprint—the leading mode upper ocean heat content (UOHC) extratropical Atlantic. A...
As a typical ecologically fragile region, the Loess Plateau of China has much improved in ecological environment past two decades. In order to achieve more efficient implementation projects future, it is great importance study influencing factors and driving mechanism vegetation restoration based on practices. However, human activity natural may show different coupling effects contributing locations because their spatial heterogeneity. that case, traditional global regression Ordinary Least...
Introduction Karst regions are integral to the global carbon cycle. However, land use changes of karst driven by urbanization and desertification contribute instability storage, leading uncertainties in future. Understanding these instabilities is crucial for formulating sequestration management strategies. Methods This study employed Patch-generating Land Use Simulation (PLUS) Integrated Valuation Ecosystem Services Trade-offs (InVEST) estimate introduced Coefficient Variation (CV) assess...
Abstract Vegetation restoration potential mapping (VRPM) is of great importance for regional ecosystem planning after long‐term land degradation or short‐term disasters. However, there are some problems to be solved in the current models evaluating vegetation restoration. First, VRPM mostly established based on a knowledge‐driven index system. Although this kind model logically rigorous, it relies too much expert knowledge and relatively inefficient, especially large‐area assessments....
A spatial-temporal panel dataset was collected from 101 countries during 2006–2016. Using partial correlation (PC) and ordinary (OR) analyses, this research examines the relationship between ecological footprint (EF) subjective well-being (SWB) to measure environmental impacts on people’s happiness. Gross domestic product (GDP), urbanization rate (UR), literacy (LR), youth life expectancy (YLE), wage salaried workers (WSW), political stability (PS), voice accountability (VA) are regarded as...
As COVID-19 run rampant in high-density housing sites, it is important to use real-time data tracking the virus mobility. Emerging cluster detection analysis a precise way of blunting spread as quickly possible and save lives. To track compliable mobility on spatial-temporal scale, this research appropriately analyzed disparities between clusters, expectation maximization clustering (EM), hierarchical (HC) Texas county-level. Then, based outcome analysis, sensitive counties are Cottle,...
Particularly interesting new cysteine‐histidine rich protein (PINCH), as a newly discovered of LIM family members, may play role in signal transduction integrin and growth factor, involved the incidence development tumors. PINCH is overexpressed tumor‐associated stroma several types However, there no study esophageal cancer, therefore we investigated expression squamous cell carcinomas its clinicopathological significance patients. was immunohistochemically examined 20 normal samples 64...
Lung cancer remains the leading cause for mortality worldwide. While it is well-known that smoking an avoidable high-risk factor lung cancer, necessary to identify extent which other modified risk factors might further affect cell's genetic predisposition susceptibility, and spreading of carcinogens in various geographical zones. This study aims examine association between (LCM) major factors. We used Fuzzy Inference Modeling (FIM) Random Forest (RFM) approaches analyze LCM its possible...
A two-way multivariate analysis of variance (MANOVA) aims to compare the effects several levels two factors in a factorial experiment with layout.It is widely used experimental sciences, e.g., biology, psychology, physics, among others.When cell covariance matrices are same, it can be solved using well-known Wilks likelihood ratio, Lawley-Hotelling trace, Bartlett-Nanda-Pillai trace and Roy's largest root tests ([1]).However, when homogeneous assumption violated, these may become seriously...
<title>Abstract</title> As COVID-19 run rampant in high-density housing sites, it is important to use real-time data tracking the virus mobility. Emerging cluster detection analysis a precise way of blunting spread as quickly possible and save lives. To track compliable mobility on spatial-temporal scale, this research appropriately analyzed disparities between clusters, expectation Maximization clustering (EM) hierarchical (HC) Texas county-level. Then, based outcome analysis, sensitive...
Abstract Since COVID-19 is extremely menacing human’s health, it a significant to expose on its fator’s impacts for curbing the virus spreading. To tackle complexity of expansion in spatial-temporal scale, This research approriatedly analyzed heterogeneity at county-level Texas. First,factors are captured social, economic, and environmental multiple-facets Communality extracted through Principal Component Analysis (PCA). Second, this used CC as dependent variable common factors independent...
An important aspect of educational equity is the balance between students and teachers in general education system. To address need for a sustainable, balanced, reliable supply high-quality STEM public school districts, this research aims to illustrate spatial dynamics student-teacher impact teacher salary, poverty, transportation, environmental factors from 2015 2020, Data were collected create multivariate evaluation via Analytic Hierarchical Process (AHP), Compromise Programming (CP),...