A5101810528- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Navier-Stokes equation solutions
- Stability and Controllability of Differential Equations
- Advanced Mathematical Modeling in Engineering
- Metal-Organic Frameworks: Synthesis and Applications
- Advanced Mathematical Physics Problems
- Polyoxometalates: Synthesis and Applications
- Crystallography and molecular interactions
- Mathematical Biology Tumor Growth
- Machine Learning and Algorithms
- Advanced Nanomaterials in Catalysis
- Rheology and Fluid Dynamics Studies
- Functional Equations Stability Results
- Lattice Boltzmann Simulation Studies
- Catalysis and Hydrodesulfurization Studies
- Lignin and Wood Chemistry
- Machine Learning and Data Classification
- Privacy, Security, and Data Protection
- Metabolomics and Mass Spectrometry Studies
- Topic Modeling
- Fluid Dynamics and Turbulent Flows
- Advanced Text Analysis Techniques
- Bioinformatics and Genomic Networks
- Fixed Point Theorems Analysis
Yangtze University
2019-2025
Wenzhou University
2015-2023
Shenyang University of Technology
2023
Shenzhen Stock Exchange
2021-2022
Shanghai University of International Business and Economics
2021
University of Louisville
2012-2020
Hong Kong Polytechnic University
2020
University of Louisville Hospital
2011-2019
Nanjing Foreign Language School
2018
East China University of Science and Technology
2017-2018
Alcohol consumption induces liver steatosis; therefore, this study investigated the possible role of adipose tissue dysfunction in pathogenesis alcoholic steatosis. Mice were pair-fed an alcohol or control liquid diet for 8 weeks to evaluate effects on lipid metabolism at tissue-liver axis. Chronic exposure reduced mass and adipocyte size. Fatty acid release from explants was significantly increased alcohol-fed mice association with activation triglyceride lipase hormone-sensitive lipase....
Traditionally, machine learning algorithms relied on reliable labels from experts to build predictions. More recently however, have been receiving data the general population in form of labeling, annotations, etc. The result is that are subject bias born ingesting unchecked information, such as biased samples and labels. Furthermore, people increasingly engaged interactive processes wherein neither human nor receive unbiased data. Algorithms can also make predictions, leading what now known...
A method of employing high-resolution mass spectrometry in combination with vivo metabolite deuterium labeling was developed this study to investigate the effects alcohol exposure on lipid homeostasis at white adipose tissue (WAT)-liver axis a mouse model alcoholic fatty liver. In order differentiate liver lipids synthesized from acids that were transported back and other sources acids, two-stage feeding experiment performed incorporate into metabolites. Hepatic extracted liver, epididymal...
Recommender Systems (RSs) are widely used to help online users discover products, books, news, music, movies, courses, restaurants, etc. Because a traditional recommendation strategy always shows the most relevant items (thus with highest predicted rating), RS’s expected make popular become even more and non-popular less which in turn further divides haves (popular) from have-nots (unpopular). Therefore, major problem RSs is that they may introduce biases affecting exposure of items, thus...
Data analysis in metabolomics is currently a major challenge, particularly when large sample sets are analyzed. Herein, we present novel computational platform entitled MetSign for high-resolution mass spectrometry-based metabolomics. By converting the instrument raw data into mzXML format as its input data, provides suite of bioinformatics tools to perform deconvolution, metabolite putative assignment, peak list alignment, normalization, statistical significance tests, unsupervised pattern...
Two novel helical compounds based on polyoxovanadates, [Co(H2O)2V2O6] (1) and [Co(bimb)V2O6] (2) (bimb =1,3-bis(1-imidazoly)benzene), have been synthesized under identical hydrothermal conditions, providing two structurally different motifs due to introduction of a V-shaped bimb ligand in 2. Compound 1 possesses pair entanglement double helixes 3D inorganic framework, whereas compound 2 shows single entangled helix inorganic–organic network owing the influences steric hindrance ligands as...
In this paper, a stochastic strongly damped wave equation with polynomial drift and diffusion terms is studied. First we prove there exists unique solution for by using truncation method. Then, establish the tightness of family probability distributions solutions obtain existence invariant measures introducing an appropriate Lyapunov function utilizing decomposition approach. Finally, regularity measure investigated, that is, supported regular space.
A compound representing the first example of high dimensional and connected hybrid based on reduced Wells-Dawson arsenotungstates has been synthesized, its electrocatalytic photocatalytic properties have investigated.
The purpose of this work is to investigate the pullback asymptotic behaviors solutions for non-autonomous micropolar fluid flows in twodimensional bounded domains.On base known results concerning global well-posedness solutions, we apply technique enstrophy equality, combining with estimates on prove existence and regularity attractors generated evolution process universe fixed sets another a tempered condition different phase spaces.Then use analyze behavior H 2 -boundedness attractors.
Assembly and photocatalytic properties of an unprecedented helical compound based on polyoxometalates, with the coexistence both interconnected interweaved double helices, are reported.
An unprecedented hybrid octamolybdate-based compound with both chiral and helical structure, consisting of a pair enantiomorphous “pinwheel” subunits, has been synthesized its photocatalytic properties have investigated.
<abstract><p>Self-adaptive algorithms are presented for solving the split common fixed point problem of quasi-pseudocontractive operators in Hilbert spaces. Weak and strong convergence theorems given under some mild assumptions.</p></abstract>
Personalized recommender systems are becoming increasingly relevant and important in the study of polarization bias, given their widespread use filtering information spaces. Polarization is a social phenomenon, with serious consequences, real-life, particularly on media. Thus it to understand how machine learning algorithms, especially systems, behave polarized environments. In this paper, we within context users' interactions space items affects systems. We first formalize concept based...
High-throughput experimental technologies continue to alter the study of current system biology. Investigators are understandably eager harness power these new technologies. Protein-protein interactions on platforms, however, present numerous production and bioinformatics challenges. Some issues like feature extraction, representation, prediction algorithm results analysis have become increasingly problematic in protein-protein interaction sites. The development powerful, efficient methods...
In this paper, we describe our solution to the RecSys2014 challenge and results on test set. We briefly some of challenges, then methodology which starts with feature extraction construction using provided tweet data, in combination IMDB as an external source. Feature also involved computing similarity values a latent factor space deal sparsity lack semantics text-based other nominal features. machine learning models consist several stages, including classifier, followed by Learning Rank...