Qiankun Ma

ORCID: 0009-0006-5353-2467
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About
Contact & Profiles
Research Areas
  • Hydraulic and Pneumatic Systems
  • Iterative Learning Control Systems
  • Machine Learning and Data Classification
  • Advanced Sensor and Control Systems
  • AI in cancer detection
  • Machine Learning and Algorithms
  • Biochemical effects in animals
  • Geological formations and processes
  • Geological and Geophysical Studies
  • Mechanical Engineering and Vibrations Research
  • Medical Imaging and Analysis
  • Handwritten Text Recognition Techniques
  • Control Systems in Engineering
  • Luminescence and Fluorescent Materials
  • Acute Ischemic Stroke Management
  • Stress Responses and Cortisol
  • Domain Adaptation and Few-Shot Learning
  • Natural Language Processing Techniques
  • Brain Tumor Detection and Classification
  • Photopolymerization techniques and applications
  • Advanced Neural Network Applications
  • Advanced Polymer Synthesis and Characterization
  • Head and Neck Cancer Studies
  • Cerebrovascular and Carotid Artery Diseases
  • Industrial Technology and Control Systems

Peking University
2025

Henan Provincial People's Hospital
2015-2024

Henan University
2024

Zhengzhou University
2024

Peng Cheng Laboratory
2024

Capital University of Physical Education and Sports
2024

Sichuan University
2021-2023

Chengdu University
2021-2023

Beijing Research Institute of Uranium Geology
2023

Chinese Academy of Geological Sciences
2023

Near-infrared (NIR) light plays an increasingly important role in the field of photoinduced electron/energy transfer-reversible addition-fragmentation chain transfer (PET-RAFT) polymerization due to its unique properties. Yet, NIR photocatalyst with good stability for PET-RAFT remains promising. Here, a strategy semifluorinated monomers using fluorophenyl bacteriochlorin as strong absorption at region (710-780 nm) is reported. In which, F atoms are used modify reduced tetraphenylporphyrin...

10.1002/marc.202200122 article EN Macromolecular Rapid Communications 2022-04-08

Conventional semi-supervised learning (SSL) lies in the close-set assumption that labeled and unlabeled sets contain data with same seen classes, called in-distribution (ID) data. In contrast, safe SSL investigates a more challenging open-set problem where set may involve some out-of-distribution (OOD) unseen which could harm performance of SSL. When we are experimenting mainstream methods, have surprising finding all OOD show clear tendency to gather feature space. This inspires us solve...

10.1109/iccv51070.2023.01500 article EN 2021 IEEE/CVF International Conference on Computer Vision (ICCV) 2023-10-01

In the applications of hydraulic continuous rotation motors used in valve control electro-hydraulic servo system, long distance between valves and causes pipeline effect, which results a decreased natural frequency delayed dynamic response system. This paper presents mathematical model characteristic analysis as well effect. A second order differential term is added to traditional PID method decrease/eliminate load torque fluctuation motor, denoted by PIDD <sup...

10.1109/control.2016.7737533 article EN 2016-08-01

Melanin concentrating hormone (MCH) controls many brain functions, such as sleep/wake cycle and memory, modulates the inflammation response. Previous studies have shown that influenza A virus (IAV) infection-induced neuroinflammation leads to central nervous damage. This study investigated potential effects of MCH against induced by IAV infection its mechanism. (1 2 mg/ml) was administrated for 5 consecutive days before infection. Pentobarbital-induced sleep tests, an open-field test, a...

10.1186/s12974-024-03251-z article EN cc-by-nc-nd Journal of Neuroinflammation 2024-10-10

Cam-rotor vane motor (CRVM) is one of new continuous hydraulic servo motors with the characteristics no pulsation instantaneous flow rate and output torque, small volume rotating inertia. In order to acquire better performance minimize trace error, friction mechanism cam-rotor was analyzed. As a novel description, LuGre model its parameter had few limitations because this only description fixed position. Based on lots experience characteristic CRVM, changeable maximum dynamic static which...

10.1109/control.2016.7737536 article EN 2016-08-01

Vertebrobasilar dolichoectasia(VBD ) can increase the risk of stroke. Significant expansion, elongation and tortuosity vertebrobasilar arteries are main morphology manifestations VBD. However, there is no consensus on quantitative imaging assessment Many studies showed that some parameters, such as basilar artery length bending length, angulation, vertebral index be used for VBD. Key words: Vertebrobasilar Insufficiency; Vertebral Artery; Basilar Artery; Cerebral Angiography; Magnetic...

10.3760/cma.j.issn.1673-4165.2015.08.010 article EN Int J Cerebrovasc Dis 2015-08-28
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