A5100712939- Decision-Making and Behavioral Economics
- Behavioral Health and Interventions
- Probabilistic and Robust Engineering Design
- Economic and Environmental Valuation
- Fatigue and fracture mechanics
- Nutritional Studies and Diet
- Insurance, Mortality, Demography, Risk Management
- Diet and metabolism studies
- Obesity, Physical Activity, Diet
- Forecasting Techniques and Applications
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Statistical Methods and Inference
- Stock Market Forecasting Methods
- Advanced Statistical Process Monitoring
- Spacecraft and Cryogenic Technologies
- Stuttering Research and Treatment
- Machine Learning in Healthcare
- Risk and Portfolio Optimization
- Cardiovascular Disease and Adiposity
- Mental Health Research Topics
- Multiferroics and related materials
- Aluminum Alloy Microstructure Properties
- Consumer Behavior in Brand Consumption and Identification
- Face Recognition and Perception
- Soil, Finite Element Methods
Hunan Normal University
2023-2025
Hangzhou Center for Disease Control and Prevention
2012-2024
University of Toronto
2024
Zhejiang University
2010-2023
Hangzhou Normal University
2023
Stanford University
2022
Chinese Academy of Sciences
2013
Beijing Normal University
2012
Institute of Psychology, Chinese Academy of Sciences
2012
University College London
2012
In this paper, the life reliability analysis of AL-AL repair structure is studied. Firstly, fatigue predicted by finite element numerical modeling combined with Forman’s empirical formula, and influence law variation parameters on investigated. Secondly, uncertain factors affecting are considered, objective function linearly fitted, model established, obtained calculating probability predicting to be greater than allowable life. Finally, plate that affect analyzed The results show under same...
The aim of the current study was to differentiate between neural activity that represents anomalies are responsible for persistent developmental stuttering (PDS) from is a result compensating stuttering. This done by investigating alterations intrinsic functional architecture speech-language processes patients with PDS before and after short-term intervention.The resting-state connectivity (RSFC) cortical thickness were examined intervention. structural data used validate results. Fifteen...
Gamma-glutamyl dipeptides are bioactive peptides involved in inflammation, oxidative stress, and glucose regulation. Gamma-glutamyl-leucine (Gamma-Glu-Leu) has been extensively reported to be associated with the risk of cardio-metabolic diseases, such as obesity, metabolic syndrome, type 2 diabetes. However, causality remains uncovered. The aim this study was explore causal-effect relationships between Gamma-Glu-Leu risk.In study, 1,289 subjects were included from a cross-sectional survey on...
Occupational chromium exposure may induce DNA damage and lead to lung cancer other work-related diseases. repair gene polymorphisms, which alter the efficiency of repair, thus contribute genetic susceptibility damage. The aim this study was test hypothesis that variations 9 major genes could modulate hexavalent (Cr (VI))-induced damage.The median (P25-P75) Olive tail moment 0.93 (0.58-1.79) for individuals carrying GG genotype XRCC1 Arg399Gln (G/A), 0.73 (0.46-1.35) GA heterozygote 0.50...
Obesity is a heterogeneous disease in terms of body mass index (BMI) and metabolic status. The purpose this study was to investigate the risk type 2 diabetes mellitus (T2DM) subjects with metabolically abnormal but normal weight (MANW) China.A prospective cohort total 17,238 participants Zhejiang syndrome recruited. According standard Working Group on China, general obesity defined. Metabolic abnormality defined as two or more components (elevated triglycerides (TG), low high-density...
We review distributionally robust optimization (DRO), a principled approach for constructing statistical estimators that hedge against the impact of deviations in expected loss between training and deployment environments. Many well-known statistics machine learning (e.g. AdaBoost, LASSO, ridge regression, dropout training, etc.) are precise sense. hope by discussing DRO interpretation estimators, statisticians who may not be too familiar with find way to access literature through bridge...
China and the United States has worsened their foreign relationship after trade war begin in 2018. Then following policies treaties also strongly affect commercial activities of both sides. These exchange rate between Chinese YUAN US dollar. First, this research is going to explain why two important time series forecasting models, neural network model long short-term memory model, are used predict future rate. would divide data into training set testing set, then train models with forecast...
Abstract Covariation judgment underlies a diversity of psychological theories and influences various everyday decisions. Information about covariation can be learned from either summary description frequencies (i.e., contingency tables) or trial‐by‐trial experience sampling individual instances). Two studies were conducted to investigate the impact information learning mode vs. self‐truncated sampling) on related decision. In each trial under condition, participants presented with table...
Previous studies have indicated that the deposition of abdominal adipose tissue was associated with abnormalities cardiometabolic components. The aim this study to examine relationship visceral (VAT), subcutaneous (SAT) and metabolic status different effects between males females.The 1388 eligible subjects were recruited in a baseline survey syndrome China, from two communities Hangzhou Chengdu. Areas VAT SAT measured by magnetic resonance imaging (MRI). Serum total triglycerides (TG),...
Missing time-series data is a prevalent practical problem. Imputation methods in often are applied to the full panel with purpose of training model for downstream out-of-sample task. For example, finance, imputation missing returns may be prior portfolio optimization model. Unfortunately, this practice result look-ahead-bias future performance on There an inherent trade-off between using set and larger variance from only data. By connecting layers information revealed time, we propose...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI
Abstract The fatigue reliability of structural elements with penetration cracks under stress loading is analysed using the Kriging model. model established “FEM + M integral” intensity factor modelling method, and numerical determined by comparing theoretical simulated values factor. A kriging probability established, cracked structure obtained based on mean point method Monte Carlo method. influence law statistical characteristics random parameters crack containment specimens investigated....
We study minimax risk bounds for estimators of the spectral measure in multivariate linear factor models, where observations are combinations regularly varying latent factors. Non-asymptotic convergence rates derived Peak-over-Threshold estimator terms $p$-th order Wasserstein distance, and information-theoretic lower risks established. The rate is shown to be optimal under a class Pareto-type models analogous standard used setting one-dimensional known as Hall-Welsh class. When inefficient,...
Missing time-series data is a prevalent problem in finance. Imputation methods for time- series are usually applied to the full panel with purpose of training model downstream out-of-sample task. For example, imputation missing returns may be prior estimating portfolio optimization model. However, this practice can result look- ahead-bias future performance There an inherent trade-off between look-ahead-bias using set and larger variance from only data. By connecting layers information...
Missing time-series data is a prevalent problem in many prescriptive analytics models operations management, healthcare and finance. Imputation methods for are usually applied to the full panel with purpose of training model downstream out-of-sample task. For example, imputation missing asset returns may be before estimating an optimal portfolio allocation. However, this practice can result look-ahead-bias future performance task, there inherent trade-off between using entire set larger...