- Tryptophan and brain disorders
- Cancer Immunotherapy and Biomarkers
- Diet and metabolism studies
- Digital Transformation in Industry
- Microbial Metabolism and Applications
- Ferroptosis and cancer prognosis
- Treatment of Major Depression
- Big Data and Business Intelligence
- Banking stability, regulation, efficiency
- Insurance and Financial Risk Management
- Stress Responses and Cortisol
- Housing Market and Economics
- Credit Risk and Financial Regulations
- Bullying, Victimization, and Aggression
- Bipolar Disorder and Treatment
- Neurological Disease Mechanisms and Treatments
- Neurotransmitter Receptor Influence on Behavior
- Impact of AI and Big Data on Business and Society
- Protease and Inhibitor Mechanisms
- Financial Distress and Bankruptcy Prediction
- Financial Markets and Investment Strategies
- Industrial Vision Systems and Defect Detection
- Metabolomics and Mass Spectrometry Studies
- Bioinformatics and Genomic Networks
- Child and Adolescent Psychosocial and Emotional Development
Guangdong Pharmaceutical University
2021-2022
Sichuan University
2014-2021
West China Hospital of Sichuan University
2015
University of Languages and International Studies
2014
Sartorius (United States)
2014
The authors propose an innovative Internet of Things (IoT) based E-commerce business model Cloud Laundry for mass scale laundry services. utilises big data analytics, intelligent logistics management, and machine learning techniques. Using GPS real-time update data, it calculates the best transportation path re-route logistic terminals quickly simultaneously. intelligently dynamically provides solutions on current state spaces through user's specifications thus offers local hotel customers...
Matrix metalloproteinase-9 (MMP-9) can degrade the extracellular matrix and participate in tumor progression. The relationship between MMP-9 immune cells has been reported various malignant tumors. However, there is a lack of comprehensive pan-cancer studies on cancer prognosis infiltration.We used data from TCGA GTEx databases to comprehensively analyze differential expression normal cancerous tissues. Survival analysis was performed understand prognostic role different We then analyzed...
In this study, Big Data Analytics has been applied to implement smart manufacturing services performed by local commercial laundry Small and Medium Sized Enterprises (SMEs), which, be specific, is called Smart Laundry Services (SLSs). This service first uses traffic big data inputs from the City Traffic monitoring Server abstract patterns develop dynamic optimal scheduling routes for logistic terminals after taking pick-up orders hotel supply managers. On other hand, floor, which isfor fully...
Hypertension and depression, as 2 major public health issues, are closely related. For patients having hypertension, in particular, depression is a risk factor for mortality jeopardizes their wellbeing. The aim of the study to apply support vector machine (SVM) learning blood tests vital signs classify hypertension complicated by alone identification novel markers. Data on both (n = 147) were obtained from electronic medical records admissions containing signs. Using SVM, we distinguished...
Background: Major depressive disorder (MDD) is a common disease which complicated by metabolic disorder. Although MDD has been studied relatively intensively, its metabolism yet to be elucidated. Methods: To profile the global pathophysiological processes of patients, we used metabolomics identify differential metabolites and applied new database Metabolite set enrichment analysis (MSEA) discover dysfunctions pathways this disease. Hydrophilic were profiling plasma from 55 patients 100 sex-,...
This research presents the technique architectures concepts and business model analyses for an innovative intelligent production of facial masks, which consists three modules: in-shop service, logistics, smart manufacturing. The service module uses artificial intelligence to provide customers with quality experience. In logistics module, cyber-physical system (CPS) is used conduct cloud processing traffic big data, aiming efficient transport mask products minimise time costs. entire process...
Non-tariff measures (NTMs) such as technical barriers to trade (TBT) and sanitary phytosanitary (SPMs) have become new barriers, which is contrary these measures' original intention correct market failure adverse selection of free markets protect the people, animals, plants environment in importing countries. For different African agri-food exporters, compliance with NTMs has varied impacts. relatively comprehensive are helpful upgrading their food production, increasing agricultural input...
Parkinson's disease (PD) is a common neurodegenerative in middle-aged and elderly people. Liuwei Dihuang (LWDH) pills have good effect on PD, but its mechanism remains unclear. Network pharmacology the result of integrating basic theories research methods medicine, biology, computer science, bioinformatics, other disciplines, which can systematically comprehensively reflect drug intervention networks.The main components targets herbs LWDH were obtained through Traditional Chinese Medicine...
The traditional loans pricing methods are usually based on risk measures of individual loan’s characteristics without considering the correlation between defaults different and contribution to entire loan portfolio. In this study, using account-level data 2010-2016 abstracted from 2 databases kindly provided by a Chinese commercial bank, authors choose Archimedean Copula fit default relationship loans, combined with loss distribution function constructed measure economic capital portfolio,...
Abstract Major depressive disorder (MDD) is a common disease with both affective and cognitive disorders. Alterations in metabolic systems of MDD patients have been reported, but the underlying mechanisms still remains unclear. We sought to identify abnormal metabolites by metabolomics explore association between differential neurocognitive dysfunction. Plasma samples from 53 83 sex-, gender-, BMI-matched healthy controls (HCs) were collected. Liquid chromatography-tandem mass spectrometry...
Abstract The protein PDLIM2 regulates the stability of various transcription factors and is required for polarized cell migration. However, clinical relevance immune infiltration in cancer are not well-understood. We utilized Cancer Genome Atlas Genotype-Tissue Expression database to characterize alterations pan-cancer. TIMER was used explore expression levels. assessed correlation between immune-associated gene expression, score, tumor mutation burden, DNA microsatellite instability....
Introduction Violent behavior is influenced by various environmental factors and the serotonergic circuitry alike. Nevertheless, studies on relations among genes, personality, social environment, juvenile violent are limited, there no such study in China. Methods In current study, we aimed to investigate contribution of serotonin transporter (5-HTT) polymorphisms development violence explore We recruited 213 male adolescents with crime history 145 without history. The association between...
Abstract Background: Parkinson's Disease (PD) is a common neurodegenerative disease in middle-aged and elderly people. Liuwei Dihuang Pill (LWDH Pills) has good effect on but the mechanism of action not clear. Network pharmacology result integrating basic theories research methods medicine, biology, computer science, bioinformatics other disciplines, which can systematically comprehensively reflect drug intervention network. Methods: Obtained main components targets herbs LWDH Pills through...
This study evaluates housing price control policies in China between 2006 and 2016. A panel regression is employed to diagnose the explicit effects of these on supply demand, followed by a nonstationary Markov model t-copula assess policy sensitivity real-estate sector banking sector. paper presents two important discoveries. First, total social welfare, represented fundamentals, extremely sensitive even tiny shocks from adjustments. Second, current effectively restrain but not demand. As...
Abstract The real estate market has been booming in China for the past 10 years. Highly leveraged on banks' credit, it aroused regulators' attention because of potential catastrophic consequence, and may produce whole financial system if housing price boom bursts massive defaults mortgages occur. In this article, reverse stress testing engineering employed to study factors impacting significantly mortgages' their implicit transition mechanism under different simulated scenarios. This work,...
Abstract As the financial market in China persistently develops, risk of commercial banks' trading account and its management have become a heated topic for both institutions regulatory authority. Based on fixed‐income securities trading's daily practices banks, this paper develops framework RMB accounts.