A5086075867- Advanced Chemical Sensor Technologies
- Electrochemical sensors and biosensors
- Analytical Chemistry and Sensors
- Conducting polymers and applications
- Analog and Mixed-Signal Circuit Design
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
- Gas Sensing Nanomaterials and Sensors
- Advancements in PLL and VCO Technologies
- Electrochemical Analysis and Applications
- Statistical Methods and Inference
- Supercapacitor Materials and Fabrication
- Face and Expression Recognition
- Analytical chemistry methods development
- Electricity Theft Detection Techniques
- Crystallization and Solubility Studies
- Blind Source Separation Techniques
- MXene and MAX Phase Materials
- Mental Health Treatment and Access
- Advanced Electrical Measurement Techniques
- Advanced Adaptive Filtering Techniques
- Digital Filter Design and Implementation
- X-ray Diffraction in Crystallography
- Technology and Security Systems
- Organic Light-Emitting Diodes Research
Chongqing University
2023-2024
Fudan University
2023
Hebei University of Engineering
2023
Northwest University
2023
University of Electronic Science and Technology of China
2019-2022
Chengdu Medical College
2022
Tianjin Anding Hospital
2022
Tianjin Medical University
2022
Tianjin University
2022
Handan College
2022
Background Although evidence-based and effective treatments are available for people with major depressive disorder (MDD), a substantial number do not seek or receive help. Therefore, this study aimed to (1) investigate the total help-seeking rate first-time choices; (2) explore perceived helpfulness of 23 potential sources; (3) evaluate factors related behaviors among patients MDD. Materials Methods Data came from Tianjin Mental Health Survey (TJMHS), which included representative sample...
This paper studies the high-dimensional quantile regression problem under transfer learning framework, where possibly related source datasets are available to make improvements on estimation or prediction based solely target data.In oracle case with known transferable sources, a smoothed two-step algorithm convolution smoothing is proposed and ℓ1/ℓ2 error bounds of corresponding estimator also established.To avoid including non-informative we propose select sources adaptively establish its...
In this paper, a novel source signal recovery method for fast time-varying channels described by complex exponential-basis expansion model (CE-BEM) in the impulsive noise environment is proposed. This consists of two phases. The first phase equalization channels, phase, algorithm FSE-FLOS-CMA convergence performance newly proposed much better than that existing fractionally spaced equalizer-constant modulus (FSE-CMA) environment. second frequency estimation estimated obtained calculating...
A maximum correntropy criterion-blind clustering multi-modulus algorithm (MCC-BCMMA) is proposed to equalize multi-level quadrature amplitude modulation (QAM) channels in impulsive noise environment. The novel cost function based on the criterion (MCC), theoretical analysis shows that this useful when impulsive. Moreover, decomposed into in-phase term and orthogonal eliminate phase ambiguity, treats high-order QAM signal classical QAM4 reduce error, calculates weight coefficients by a simple...
Abstract Complaint prediction is a hot topic in current research. Due to complaint random, the accuracy of not high. To solve this problem, paper proposes method based on feature weighted Naive Bayes. According rough set theory, we first calculate importance each conditional attribute, combine attribute as weight with naive Bayes classifier form classifier. We use multiple classifiers make predictions, latter performs iterative learning basis previous classifier, and finally all are given...
Abstract Background Common mental disorders are general term for with high disability rates and significant social burden. The purpose of this study was to determine the degree long-term associated common interpret relationship between disability. Methods Participants in 2013 China Mental Health Survey were followed up by telephone April June 2018. This evaluated over a five-year period using World Organization’s Disability Assessment Schedule 2.0. Poisson regression used analyze Results A...
This work reports the synthesis and characterization of two blue emitters. Their 3D rigid structures are appealing feature.
The popularity of transfer learning stems from the fact that it can borrow information useful auxiliary datasets. Existing statistical methods usually adopt a global similarity measure between source data and target data, which may lead to inefficiency when only local is shared. In this paper, we propose novel Bayesian method named "CONCERT" allow robust for high-dimensional analysis. A conditional spike-and-slab prior introduced in joint distribution parameters transfer. By incorporating...
Mediation analysis plays a crucial role in causal inference as it can investigate the pathways through which treatment influences outcome. Most existing mediation assumes that effects are static and homogeneous within populations. However, usually change over time exhibit significant heterogeneity many real-world applications. Additionally, presence of unobserved confounding variables imposes challenge to inferring both effect effect. To address these issues, we propose an individualized...
Information from related source studies can often enhance the findings of a target study. However, distribution shift between and severely impact efficiency knowledge transfer. In high-dimensional regression setting, existing transfer approaches mainly focus on parameter shift. this paper, we quantile with under three types shift: shift, covariate residual We propose novel transferable set new framework to address above discrepancies. Non-asymptotic estimation error bounds detection...
Time-interleaved analog-to-digital converters (TIADCs) play an important role in high-speed data conversion. However, the timing mismatch TIADCs structure will affect performance of acquisition systems, such as spurious free dynamic range (SFDR). In this study, we propose a new all-digital calibration technique to suppress mismatches' effect by using adaptive stochastic gradient descent based on cross-correlation method and combined with fractional delay (FD) filter. This post-processing...