A5088474365- Microplastics and Plastic Pollution
- Advanced Sensor and Energy Harvesting Materials
- Metallurgy and Material Forming
- Embedded Systems and FPGA Design
- Recycling and Waste Management Techniques
- Metal Forming Simulation Techniques
- Teaching and Learning Programming
- Energy Load and Power Forecasting
- Advanced Optical Sensing Technologies
- Multilevel Inverters and Converters
- Electrochemical sensors and biosensors
- Advanced DC-DC Converters
- Intergenerational Family Dynamics and Caregiving
- Experimental Learning in Engineering
- Advanced Algorithms and Applications
- Advanced Numerical Methods in Computational Mathematics
- biodegradable polymer synthesis and properties
- Sensor Technology and Measurement Systems
- Analytical Chemistry and Sensors
- Silicon Carbide Semiconductor Technologies
- Advanced Measurement and Detection Methods
- Numerical methods in engineering
- Multimedia Communication and Technology
- Parallel Computing and Optimization Techniques
- High Temperature Alloys and Creep
Jilin University
2022-2025
Columbia University
2022-2024
Shandong Electric Power Engineering Consulting Institute Corp
2017-2024
Lanzhou University
2020-2024
China Power Engineering Consulting Group (China)
2017-2024
Northwestern Polytechnical University
2021-2023
Beijing Urban Construction Design & Development Group (China)
2023
BioElectronics (United States)
2019-2022
University of California, Los Angeles
2019-2022
State Key Laboratory of Superhard Materials
2022
Wearable technologies for personalized monitoring require sensors that track biomarkers often present at low levels. Cortisol—a key stress biomarker—is in sweat nanomolar concentrations. Previous wearable sensing systems are limited to analytes the micromolar-millimolar ranges. To overcome this and other limitations, we developed a flexible field-effect transistor (FET) biosensor array exploits previously unreported cortisol aptamer coupled nanometer-thin-film In2O3 FETs. Cortisol levels...
Abstract Background China is becoming an aging society at the fastest pace in history, and there are a large number of empty nesters country. With economic social development, internal support systems among families gradually weakening. Supporting elderly thus emerging as significant issue, promoting digital health technologies effective way to help address it. Encouraging application Internet care use important means technologies. This paper examines current state by factors influencing it...
Abstract Active biofluid management is central to the realization of wearable bioanalytical platforms that are poised autonomously provide frequent, real-time, and accurate measures biomarkers in epidermally-retrievable biofluids (e.g., sweat). Accordingly, here, a programmable epidermal microfluidic valving system devised, which capable sampling, routing, compartmentalization for biomarker analysis. At its core, network individually-addressable microheater-controlled thermo-responsive...
We devised a strategy for high-fidelity, wearable biomarker data acquisition and sensor integration with consumer electronics.
Significance To achieve the mission of personalized medicine, centering on delivering right drug to patient at dose, therapeutic monitoring solutions are necessary. By devising a surface engineering strategy, we created voltammetric sensing interface, featuring an “undistorted potential window,” within which target electroactive drug’s response is dominant and interference eliminated, rendering reliable quantification in noninvasively retrievable biofluids (sweat saliva). Leveraging this...
Microplastics (MPs) pollution has become a serious environmental issue of growing global concern due to the increasing plastic production and usage. Under climate warming, cryosphere, defined as part Earth's layer characterized by low temperatures presence frozen water, been experiencing significant changes. The Arctic cryosphere (e.g., sea ice, snow cover, Greenland ice sheet, permafrost) can store release pollutants into environments, making an important temporal sink source MPs. Here, we...
Abstract Wearable electroenzymatic sensors enable monitoring of clinically informative biomolecules in epidermally retrievable biofluids. Conventional wearable enzymatic utilize Prussian Blue (a redox mediator) to achieve selectivity against electroactive interferents. However, the use presents fundamental challenges including: 1) susceptibility sensor response dynamic concentration variation ionic species and 2) poor operational stability due degradation its framework. As an alternative...
The large-scale deployment of wearable bioanalytical devices for general population longitudinal monitoring necessitates rapid and high throughput manufacturing-amenable fabrication schemes that render disposable, low-cost, mechanically flexible microfluidic modules capable performing a variety operations within compact footprint. spatial constraints previously reported (with confined to 2D), their lack biofluid manipulation capability, the complex low-throughput nature process inherently...
The popularity of online shopping highlights the need for targeted marketing. Instead broadcasting advertisement to an entire community, marketing aims at key users, namely, influential reviewers whose reviews may affect a large group his friends, acquaintances or other customers buy product. This paper proposes method identifying based on mining social networks. We represent networks as directed graph potential customers, which incorporates "web trust" and "review rating network" Epinions,...
Objective To investigate the effects of willingness to live in elder care institutions associated with individual factors, family environment and community elderly China. Design Cross-sectional survey. Setting Heilongjiang Province, Participants A total 1003 people were selected through multistage sampling Province. Primary secondary outcome measures multistage, stratified design was employed. Differences health status, respondents compared t-test χ 2 test. Logistic regression analysis...
Wearable drug monitoring targeting epidermally retrievable biofluids (e.g., sweat) can enable a variety of applications, including compliance/abuse and personalized therapeutic dosing. In that regard, voltammetry-based approaches are suitable because they uniquely leverage the electroactive nature target molecules for quantification, eliminating reliance on availability recognition elements. However, to adapt such envisioned application, three main challenges must be addressed: (1)...
Abstract The interactions between the carbon skeleton and metal atoms of a binary transition carbide (BTMC) are particular interest for industrial applications with openning physics chemitry questions, especially in magnetoelectric (ME) functional materials cemented carbides. Chromium BTMCs series intermetallic compounds typical chemical formulas sharepolycrystalline powder c somehromium special characteristics.and as precursors, In this paper,and synthesized s we usedingle-phase bluk Cr7C3...
Referring image segmentation aims to segment a referent via natural linguistic expression.Due the distinct data properties between text and image, it is challenging for network well align pixel-level features. Existing approaches use pretrained models facilitate learning, yet separately transfer language/vision knowledge from models, ignoring multi-modal corresponding information. Inspired by recent advance in Contrastive Language-Image Pretraining (CLIP), this paper, we propose an...
This paper presents a review of the recent digital low-dropout voltage regulators (DLDOs). We have reviewed them in five aspects: control laws, triggering methods, power-FET circuit design, digital-analog hybridization, and single vs. distributed architectures. then surveyed benchmarked more than 50 DLDOs published last decade. In addition, we offered new figure-of-merit (FoM) to address shortcomings previously proposed FoMs. The benchmark provides insights on which techniques contribute...