Yanbing Liu

ORCID: 0000-0002-3794-0077
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About
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Research Areas
  • Spine and Intervertebral Disc Pathology
  • Musculoskeletal pain and rehabilitation
  • Cancer Diagnosis and Treatment
  • Spinal Fractures and Fixation Techniques
  • Breast Cancer Treatment Studies
  • Liver Disease Diagnosis and Treatment
  • Cervical and Thoracic Myelopathy
  • HER2/EGFR in Cancer Research
  • Medical Imaging Techniques and Applications
  • Radiation Dose and Imaging
  • Liver physiology and pathology
  • Scoliosis diagnosis and treatment
  • Cancer-related molecular mechanisms research
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Berberine and alkaloids research
  • Pregnancy-related medical research
  • Alzheimer's disease research and treatments
  • Autophagy in Disease and Therapy
  • Radiomics and Machine Learning in Medical Imaging
  • Plant-based Medicinal Research
  • EEG and Brain-Computer Interfaces
  • Radioactivity and Radon Measurements
  • Cancer Treatment and Pharmacology
  • RNA modifications and cancer
  • Cancer Genomics and Diagnostics

Shaanxi Provincial People's Hospital
2025

Shanxi Medical University
2025

Chongqing Medical University
2023-2025

Donghua University
2025

Xi'an Jiaotong University
2024

Shandong Academy of Sciences
2023-2024

Qilu University of Technology
2023-2024

First Hospital of Shijiazhuang
2020-2024

Qingdao University
2023-2024

Shandong First Medical University
2008-2023

Objectives. This study proposes an effective design method for truck drivers' occupational clothing during public health emergencies, reducing development time and costs, optimizing resource allocation enhancing safety mobility experience. Methods. User journey mapping questionnaires were employed to obtain requirements emergencies. The Kano model was utilized classify user needs assign importance weights, while a system constructed based on the quality function deployment (QFD) method. A...

10.1080/10803548.2025.2462441 article EN International Journal of Occupational Safety and Ergonomics 2025-03-03

Scar repair involves not only the application of medical techniques but also consideration patient’s psychological state. Through appropriate nursing measures, wound healing can be effectively promoted, complications reduced, and hypertrophic scarring prevented. Psychological intervention, by alleviating negative emotions such as anxiety depression, improves patient compliance with treatment enhances self-management abilities, thereby promoting recovery. Research indicates that combination...

10.26689/ijgpn.v3i1.9717 article EN International journal of general practice nursing. 2025-03-10

This study aimed to evaluate the associations between neutrophil percentage-to-albumin ratio (NPAR) and both all-cause cardiovascular mortality in diabetic kidney disease (DKD) patients. The data for this were sourced from National Health Nutrition Examination Survey (NHANES) 1999–2018. Weighted logistic regression, Cox proportional hazards model, Fine-Gray competing risk model used assess association NPAR DKD A total of 2,699 participants enrolled study. regression analysis revealed that...

10.1186/s13098-025-01674-z article EN cc-by-nc-nd Diabetology & Metabolic Syndrome 2025-03-28

Transformer network is widely emphasized and studied relying on its excellent performance. The self-attention mechanism finds a good solution for feature coding among multiple channels of electroencephalography (EEG) signals. However, using the to construct models EEG data suffers from problem large amount required complexity algorithm.

10.3389/fnins.2024.1366294 article EN cc-by Frontiers in Neuroscience 2024-04-18

Stroke patients are prone to fatigue during the EEG acquisition procedure, and experiments have high requirements on cognition physical limitations of subjects. Therefore, how learn effective feature representation is very important. Deep learning networks been widely used in motor imagery (MI) based brain-computer interface (BCI). This paper proposes a contrast predictive coding (CPC) framework modified s-transform (MST) generate MST-CPC representations. MST acquire temporal-frequency...

10.1142/s0129065723500661 article EN International Journal of Neural Systems 2023-09-30

Pain is an experience of unpleasant sensations and emotions associated with actual or potential tissue damage. In the global context, billions people are affected by pain disorders. There particular challenges in measurement assessment pain, commonly used measuring tools include traditional subjective scoring methods biomarker-based measures. The main for analysis electroencephalography (EEG), electrocardiography functional magnetic resonance. EEG-based quantitative measurements immense...

10.1142/s0129065723500673 article EN International Journal of Neural Systems 2023-10-20

Background: Kidney stones and thyroid disease are two common diseases in the general population, with multiple risk factors. The associations between kidney unclear. Aim: This study aims to assess association ‘once had a disease’ odds of stones. Methods: Adult participants from National Health Nutrition Examination Survey (NHANES) 2007-2018 reliable stone data were included. Adjusting for age, gender, race, education level, marital status, diabetes, hypertension, gout, angina pectoris,...

10.2174/0118715303268738231129093935 article EN Endocrine Metabolic & Immune Disorders - Drug Targets 2024-01-11

Increasing evidence has indicated that metabotropic glutamate receptor‑7 (mGluR7) is an important target for reducing anxiety and stress‑associated behaviours. Notably, mood disorders exhibit high levels of comorbidity with gastrointestinal dysfunction; however, the role mGluR7 outside central nervous system currently unknown. Activating likely increases colonic secretory function. Therefore, present study aimed to evaluate possible effects on visceral hypersensitivity irritable bowel...

10.3892/ijmm.2018.4022 article EN cc-by-nc-nd International Journal of Molecular Medicine 2018-12-11

Background: Triple-negative breast cancer (TNBC) is associated with a dismal prognosis. Immune checkpoint inhibitors have shown promising antitumor activity in neoadjuvant settings. This single-arm, phase II trial aimed to evaluate the efficacy and safety of camrelizumab plus chemotherapy as therapy (NAT) early TNBC. Methods: Patients received eight cycles nonplatinum-based chemotherapy. The primary endpoint was total pathological complete response (pCR). Secondary endpoints included (bpCR),...

10.1097/js9.0000000000001011 article EN cc-by-nc-nd International Journal of Surgery 2023-12-19

Oblique lumbar interbody fusion (OLIF) still has a steep learning curve that many spinal surgeons who want to develop are hesitant. The purpose of this study is provide reference for beginners through the comparative analysis application two kinds retraction devices in early stage curve. We prospectively included first 60 patients with degenerative diseases treated OLIF by surgeon our department. According different during operation, were divided into hook retractor group and tubular group....

10.1186/s13018-024-05022-1 article EN cc-by-nc-nd Journal of Orthopaedic Surgery and Research 2024-08-27

To investigate the radioactivity levels of seawater, sediments, and biota in Daya Bay sea area, China, order to establish baseline values, provide basic data for assessment potential radiological risks that might result from application nuclear technology or human activities. Samples were collected area analyzed. Their then compared with information other regions China around world reported related literature. For seawater samples, activity concentrations natural radionuclide 40K 9.9–10.4...

10.1016/j.radmp.2023.07.004 article EN cc-by-nc-nd Radiation Medicine and Protection 2023-08-06

Aggregate sales forecasting means predicting the total over product units, locations or time buckets. It could help companies make production plans and marketing decisions more precisely. Various techniques have been used in forecasting, while they all treat objects separately. However, there is spatial correlation between of neighboring stores areas, for which existing methods lack consideration. In this paper, we propose a novel model aggregate based on deep learn- ing technique ConvLSTM,...

10.1145/3456529.3456540 article EN 2021-02-02
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