A5087581435- Spatial and Panel Data Analysis
- Economic and Environmental Valuation
- Energy Load and Power Forecasting
- Efficiency Analysis Using DEA
- Graph theory and applications
- Limits and Structures in Graph Theory
- Wind Energy Research and Development
- Bone and Dental Protein Studies
- Insurance, Mortality, Demography, Risk Management
- Complexity and Algorithms in Graphs
- Pregnancy and preeclampsia studies
- Advanced Numerical Methods in Computational Mathematics
- Animal Nutrition and Physiology
- Soil Geostatistics and Mapping
- Endometriosis Research and Treatment
- Metal-Organic Frameworks: Synthesis and Applications
- Matrix Theory and Algorithms
- Drug-Induced Hepatotoxicity and Protection
- Peroxisome Proliferator-Activated Receptors
- Remote Sensing and LiDAR Applications
- Eicosanoids and Hypertension Pharmacology
- Metabolomics and Mass Spectrometry Studies
- Economics of Agriculture and Food Markets
- Nitric Oxide and Endothelin Effects
- Bone Metabolism and Diseases
East China Normal University
2022
King Abdullah University of Science and Technology
2018-2020
Dalian Medical University
2018
Abstract Saudi Arabia has a long tradition of relying on fossil fuels for satisfying its energy demand. With the rising needs due to population growth and societal development, nation is seeking other sources energy, which include largely underused wind resources. In this paper, we analyze power potential in based MENA CORDEX (Middle East North Africa Coordinated Regional Climate Downscaling Experiment) model output. We investigate climate settings runs best capture spatiotemporal patterns...
In recent years, interest has grown in modeling spatio-temporal data generated from monitoring networks, satellite imaging, and climate models. Under Gaussianity, the covariance function is core to modeling, inference, prediction. this article, we review various space-time structures which simplified assumptions, such as separability full symmetry, are made facilitate computation, associated tests intended validate these structures. We also developments on constructing models, can be...
How does aquaporin-3 (AQP3) affect endometrial receptivity?AQP3, which is regulated by the combination and estrogen (E2) progesterone (P4), induces epithelial-mesenchymal transition (EMT) of epithelial cells.Embryo implantation an extremely complex process, receptivity essential for successful embryo implantation. Estrogen regulate receptivity. AQP3, (E2), increases cell migration invasion ability regulating expression EMT-related factors influencing reorganization actin cytoskeleton.This...
Background/Aims: Periapical periodontitis is caused by bacterial infection and results in both one destruction tooth loss. Osteopontin (OPN) a secreted phosphorylated glycoprotein that participates bone metabolism. Methods: Thirty-three patients with chronic periapical 10 who had undergone the orthodontic removal of healthy tissue (control) at periodontal ligament were investigated, an animal model mouse was established for vivo analysis. The relationship between OPN during analyzed....
In spatial statistics, a common objective is to predict values of process at unobserved locations by exploiting dependence.Kriging provides the best linear unbiased predictor using covariance functions and often associated with Gaussian processes.However, when considering non-linear prediction for non-Gaussian categorical data, Kriging no longer optimal, variance overly optimistic.Although deep neural networks (DNNs) are widely used general classification prediction, they have not been...
In spatial statistics, a common objective is to predict values of process at unobserved locations by exploiting dependence. Kriging provides the best linear unbiased predictor using covariance functions and often associated with Gaussian processes. However, when considering non-linear prediction for non-Gaussian categorical data, no longer optimal, variance overly optimistic. Although deep neural networks (DNNs) are widely used general classification prediction, they have not been studied...
Summary The assumption of normality has underlain much the development statistics, including spatial and many tests have been proposed. In this work, we focus on multivariate setting first review recent advances in for i.i.d. data, with emphasis skewness kurtosis approaches. We show through simulation studies that some these cannot be used directly testing data. further briefly few existing univariate under dependence (time or space), then propose a new test data by accounting dependence....
Extending the work of Liu--Mubayi--Reiher~\cite{LMR23unif} on hypergraph Tur\'{a}n problems, we introduce notion vertex-extendability for general extremal problems hypergraphs and develop an axiomatized framework proving strong stability satisfying certain properties. This simplifies typically complex tedious process obtaining exact results into a much simpler task verifying their vertex-extendability. We present several applications this method in generalized including Erd\H{o}s Pentagon...
The Erd\H{o}s-Simonovits stability theorem is one of the most widely used theorems in extremal graph theory. We obtain an type multi-partite graphs. Different from theorem, our graphs says that if number edges $H$-free $G$ close to for $H$, then has a well-defined structure but may be far away $H$. As application, we solve conjecture posed by Han and Zhao concerning maximum which does not contain vertex-disjoint copies clique
The assumption of normality has underlain much the development statistics, including spatial and many tests have been proposed. In this work, we focus on multivariate setting first review recent advances in for i.i.d. data, with emphasis skewness kurtosis approaches. We show through simulation studies that some these cannot be used directly testing data. further briefly few existing univariate under dependence (time or space), then propose a new test data by accounting dependence. utilizes...