Qianjin Wang

ORCID: 0000-0002-4076-9493
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About
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Research Areas
  • Stability and Control of Uncertain Systems
  • Functional Brain Connectivity Studies
  • Machine Learning and ELM
  • Face and Expression Recognition
  • High-Energy Particle Collisions Research
  • Quantum Chromodynamics and Particle Interactions
  • Particle physics theoretical and experimental studies
  • Healthcare professionals’ stress and burnout
  • Neural and Behavioral Psychology Studies
  • Control and Stability of Dynamical Systems
  • Neural Networks Stability and Synchronization
  • COVID-19 and Mental Health
  • Mental Health Research Topics
  • Neurotransmitter Receptor Influence on Behavior
  • Chinese history and philosophy
  • Neural Networks and Applications
  • Matrix Theory and Algorithms
  • Schizophrenia research and treatment
  • Neuroscience and Music Perception
  • Neural dynamics and brain function
  • Stability and Controllability of Differential Equations
  • Japanese History and Culture
  • Advanced Algorithms and Applications
  • Orthopaedic implants and arthroplasty
  • Remote Sensing and Land Use

Central South University
2021-2024

Second Xiangya Hospital of Central South University
2021-2024

Yancheng Institute of Technology
2020-2024

Shandong Provincial Hospital
2024

Shandong First Medical University
2024

Shanghai Ocean University
2024

Shandong University
2024

Northeastern University
2023

Qingdao University of Technology
2023

Zhongyuan University of Technology
2023

Incremental random weight networks (IRWNs) face the issues of weak generalization and complicated network structure. There is an important reason: learning parameters IRWNs are determined in a fashion without guidance, which may increase many redundant hidden nodes, thereby leading to inferior performance. To resolve this issue, novel IRWN with compact constraint that guides assignment (CCIRWN) developed brief. Using iteration method Greville, simultaneously assures quality generated nodes...

10.1109/tnnls.2023.3289798 article EN IEEE Transactions on Neural Networks and Learning Systems 2023-07-10

Burnout, depression, and anxiety are highly prevalent among medical students, which often leads to their attrition. We aim assess the inter-relationships of burnout, symptoms with dropout intention Chinese undergraduates using network analysis.A total 3,648 were recruited through snowball sampling. Learning burnout scale, 9-item Patient Health Questionnaire (PHQ-9), General Anxiety Disorder Scale (GAD-7) was used symptoms, respectively. EBICglasso model estimate network. compared based on...

10.1177/00207640231166629 article EN International Journal of Social Psychiatry 2023-04-24

A high attrition rate in medical students has exacerbated the physician shortage China. However, few studies have explored risk factors of dropout intention postgraduates. This study compared prevalence and mental distress between non-medical postgraduates China investigated for intention. also impact postgraduates' perception Chinese healthcare environment on their status intention.This cross-sectional was conducted using online questionnaires from October 2020 to April 2021. Convenience...

10.1080/10872981.2022.2058866 article EN cc-by Medical Education Online 2022-03-31

Abstract Objective To assess the quality of doctor-patient relationship (DPR) in China and possible influencing factors during COVID-19 period from patient’s perspective. Methods An online survey was carried out nationwide March 12, 2020 to 30, via a convenience sampling strategy. Patients who met inclusion criteria were invited complete questionnaire regarding DPR, including sociodemographic information, Patient-Doctor Relationship Questionnaire (PDRQ-9), for DPR pandemic. Results A total...

10.1186/s12875-021-01600-y article EN cc-by BMC Family Practice 2021-12-01

Coronary artery segmentation is an essential procedure in the computer-aided diagnosis of coronary disease. It aims to identify and segment regions interest circulation for further processing diagnosis. Currently, automatic arteries often unreliable because their small size poor distribution contrast medium, as well problems that lead over-segmentation or omission. To improve performance convolutional-neural-network (CNN) based segmentation, we propose a novel method, DR-LCT-UNet, with two...

10.3389/fphys.2023.1138257 article EN cc-by Frontiers in Physiology 2023-08-22

Anxiety frequently occurs with major depressive disorder (MDD) but to a different extent in the various subtypes. Psychotic depression (PMD) is severe subtype of MDD that under-identified and under-studied. We investigated prevalence related risk factors anxiety PMD patients. A total 1718 first episode drug naïve patients were recruited. Measures included Hamilton Depression Scale (HAMD), Clinical Global Impression-Severity scale (CGI-S), (HAMA), positive symptom Positive Negative Syndrome...

10.1016/j.jad.2022.08.018 article EN cc-by-nc-nd Journal of Affective Disorders 2022-08-11

Abnormal thyroid function in major depressive disorder (MDD) has been studied extensively, but the results still remain inconsistent. In China, few large-scale studies have investigated differences levels of hormones between patients with MDD and healthy controls (HCs). this retrospective, cross-sectional study, 535 998 HCs were included. We compared (FT3, FT4, TSH) two groups, as well distribution within outside normal ranges. The showed that all three significantly lower than HCs, which...

10.3389/fpsyt.2021.750749 article EN cc-by Frontiers in Psychiatry 2021-10-14

Abstract The outbreak of the novel coronavirus disease 2019 (COVID-19) has posed a great impact on people’s mental health, especially for undergraduate students. This study aimed to compare health conditions and academic burnout between medical non-medical undergraduates in China when COVID-19 pandemic is mitigating. A cross-sectional online survey was conducted among 4,972 October 2020 April 2021, basically under control. included basic demographics information standardized scales evaluate...

10.1007/s11356-022-19932-2 article EN cc-by Environmental Science and Pollution Research 2022-03-31

<abstract> <p>With the rapid development of meteorology, there requires a great need to better forecast dew point temperatures contributing mild building surface and rational chemical control, while researches on time series forecasting barely catch attention meteorology. This paper would employ seasonal-trend decomposition-based simplified dendritic neuron model (STLDNM*) predict temperature. We utilize decomposition based LOESS (STL) extract three subseries from original...

10.3934/era.2023145 article EN cc-by Electronic Research Archive 2023-01-01

This paper investigates the problems of controller design and stability analysis for singularly perturbed switched systems subject to actuator saturation. A set well-defined sufficient conditions existence state feedback controllers is proposed, under which closed-loop system locally asymptotically stable arbitrary switching law as long singular perturbation parameter sufficiently small. With obtained controller, estimation problem bound basin attraction reduced solving a convex optimization...

10.1002/rnc.3514 article EN International Journal of Robust and Nonlinear Control 2016-01-15

Summary This paper addresses the disturbance rejection problem for singularly perturbed switched systems subject to actuator saturation. We focus our attention on synthesis of feedback control laws achieve systems. By using average dwell‐time approach together with piecewise Lyapunov function technique, sufficient conditions existence a controller are derived in terms LMIs, which independent singular perturbation parameter ε. Some convex optimization problems formulated get larger estimate...

10.1002/rnc.4017 article EN International Journal of Robust and Nonlinear Control 2017-12-21

Mine main fan switchover system (MMFSS) consists of two fans, which are equipped with a horizontal air door and vertical door, respectively. The purpose operating MMFSS is to ensure small fluctuation the underground airflow quantity guarantee safe operations both fans simultaneously by controlling four doors during from working standby fan. has time‐varying dynamics under different conditions, strong coupling, high non‐linearities uncertainty in character, applying conventional control...

10.1049/iet-cta.2017.0701 article EN IET Control Theory and Applications 2017-12-13

Background Workplace violence in healthcare settings is a significant public concern that profoundly impacts workers. However, there dearth of knowledge regarding the prevalence workplace and its correlation with suicidal ideation among undergraduate medical students China during their clinical training. The objective this study was to evaluate inflicted by patients or family members/visitors assess association students.

10.1080/07853890.2023.2295027 article EN cc-by-nc Annals of Medicine 2023-12-12

We report on the feedback-optimized extraordinary optical transmission of continuous-variable entangled states through a hexagonal metal-hole array. The entanglements from nondegenerate parametric amplifier are first demonstrated to survive after photon-plasmon-photon conversion process. By controlling reflected light array, significant enhancement quantum correlations has then been experimentally achieved, compared case without such coherent feedback control. This result presents useful...

10.1103/physrevb.91.121406 article EN Physical Review B 2015-03-12

Existing stochastic configuration network (SCN)-based modeling methods are underperformed in handling multitarget regression problems. An important reason is that they ignore the intertarget correlations, which have an effect on improving accuracy. To enhance performance of these SCN-based models, this article, a novel SCN (MTSCN) approach presented. The <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> <sub...

10.1109/tai.2022.3162570 article EN IEEE Transactions on Artificial Intelligence 2022-03-30

Accurate detection and classification of traffic signs play a vital role in ensuring driver safety supporting advancements autonomous driving technology. This paper introduces novel approach for sign recognition by integrating the Faster RCNN YOLOX-Tiny models using stacking ensemble technique. The innovative methodology creatively merges strengths both models, surpassing limitations individual algorithms achieving superior performance challenging real-world scenarios. proposed model was...

10.3390/su16198597 article EN Sustainability 2024-10-03

Abstract This paper addresses the measurement problem of stability bound for saturated singularly perturbed switched nonlinear systems (SPSNSs) through Takagi–Sugeno (T‐S) fuzzy model method. The common Lyapunov function method is applied to construct a state‐feedback stabilization controller that incorporates ε (the singular perturbation parameter) such asymptotic can be achieved closed‐loop system under arbitrary switching. Additionally, basin attraction determined by solving convex...

10.1002/asjc.2474 article EN Asian Journal of Control 2020-10-29

Abstract Methamphetamine use disorder (MUD) has been associated with broad neurocognitive impairments. While the cognitive impairments of MUD have demonstrated, neuropathological underpinnings remain inadequately understood. To date, published human diffusion tensor imaging (DTI) studies involving correlation between parameters and function in are limited. Hence, present study aimed to examine association performance white matter microstructure patients MUD. Forty‐five 43 healthy controls...

10.1002/hbm.26020 article EN cc-by-nc-nd Human Brain Mapping 2022-07-15
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