A5100337682- Probabilistic and Robust Engineering Design
- Human-Automation Interaction and Safety
- Decision-Making and Behavioral Economics
- Forecasting Techniques and Applications
- RNA and protein synthesis mechanisms
- Ethics and Social Impacts of AI
- Economic and Environmental Valuation
- Nuclear Engineering Thermal-Hydraulics
- Viral Infectious Diseases and Gene Expression in Insects
- Markov Chains and Monte Carlo Methods
- Advanced Bandit Algorithms Research
- Neural and Behavioral Psychology Studies
- Sustainable Supply Chain Management
- CCD and CMOS Imaging Sensors
- RNA Interference and Gene Delivery
- Data Visualization and Analytics
- Experimental Behavioral Economics Studies
- Structural Health Monitoring Techniques
- Game Theory and Applications
- Risk and Safety Analysis
- Agricultural risk and resilience
- Flood Risk Assessment and Management
- Product Development and Customization
- Legal and Policy Issues
- Water Systems and Optimization
Tsinghua University
2018-2024
University of Illinois Urbana-Champaign
2019-2024
China Southern Power Grid (China)
2024
National Institutes of Health
2020
Yale University
2020
Harvard University
2020
Rockefeller University
2020
Banner Thunderbird Medical Center
2017
John Wiley & Sons (United States)
2017
UNSW Sydney
2014
Abstract The purpose of this paper is to delineate the research challenges human—machine collaboration in risky decision-making. Technological advances machine intelligence have enabled a growing number applications collaborative Therefore, it desirable achieve superior performance by fully leveraging human and capabilities. In decision-making, decision-maker vulnerable cognitive biases when judging possible outcomes event, whereas cannot handle new dynamic contexts with incomplete...
The cell-free protein synthesis (CFPS) system is a typical production platform in the field of synthetic biology. However, there are limitations controlling CFPS system. Compared with traditional method adding chemicals, temperature an ideal control switch to achieve precise spatiotemporal few side effects. Hence, design temperature-controlled (tcCFPS) based on E. coli was carried out repressor cI this study. corresponding tcCFPS achieved 143-fold dynamic expression level at 37 °C than that...
Abstract Faced with the development of mRNA technology in field medicine and vaccine, circular (circmRNA) becomes a strong alternative to for its secondary structure higher stability. At present, synthesis circmRNAs has been realized by ligating linear precursors is limited poor efficiency. To solve this challenge, study started ribozyme catalysis enzymatic reaction explore different circmRNA biosynthesis strategies. In terms method, screening group I intron self‐splicing system sequences,...
We investigate decisions in the face of emergency situations where potential consequences include loss life, for example, choice methods to rescue a group people who are trapped fire. In particular, we conduct two sets experiments depict public risk preferences fatalities mission. The first set asks binary questions on collection hypothetical scenarios such as fires, air crashes, and marine accidents. Our results show that inclined choose risky options situations, indicating risk-seeking...
Government plays a vital role in improving community resilience against natural disasters. Due to the limited relief capacity of government, it is desirable develop risk-sharing mechanism involving both private sector providers (e.g., insurers, for-profit disaster agencies, and firms that provide resources for risk mitigation recovery) public. In this article, we take catastrophe insurance as an example examine ways providing incentives multilateral sharing, especially when involves socially...
No-regret learning has a long history of being closely connected to game theory. Recent works have devised uncoupled no-regret dynamics that, when adopted by all the players in normal-form games, converge various equilibrium solutions at near-optimal rate $\widetilde{O}(T^{-1})$, significant improvement over $O(1/\sqrt{T})$ classic learners. However, analogous convergence results are scarce Markov more generic setting that lays foundation for multi-agent reinforcement learning. In this work,...
Uncertainty has always been a threat to system performance in both manufacturing and service industries. Although cost-budgeting may limit available resources, more flexible structure can still improve the system’s ability deal with uncertainty. In this study, we develop new measure help find without extensive simulation. We create PageRank-analogous score whereby calculate Flexibility Gap (FG) index predict better of two alternative structures topological information only. theoretically...
Fault image recognition method of industrial equipment based
Many Engineering Problems could be mathematically described by Final Value Problem, which is the inverse problem of Initial Problem. Accordingly, paper studies final value in field ODE problems and analyses differences relations between initial problems. The more general new concept endpoints-value describe both proposed. Further, we extend into inner-interval arbitrary point out that are special forms problem. Particularly, existence uniqueness solutions first order ordinary differential...
The task of this article is to harness the wisdom a crowd without calibration. We assume each expert form predictions by linearly combining various information cues inspired lens model, and use Gaussian process account for sampling judgmental errors in quantile judgments. Without knowing experts’ observed cues, we develop three-step estimation algorithm factor judgments into “variable profiles” (latent underlying variable interest) “expert (each expert’s weights over these cues). can inquire...
The present study aims to investigate the quality of quantile judgments on a quantity interest that follows lognormal distribution, which is skewed and bounded from below with long right tail. We conduct controlled experiments in subjects predict losses future typhoon based past typhoons. Our find underconfidence 50% prediction intervals, primarily driven by overestimation 75th percentiles. further perform exploratory analyses disentangle sampling errors judgmental biases overall...