Cheng Qian

ORCID: 0000-0002-8449-1411
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Research Areas
  • Autism Spectrum Disorder Research
  • Building Energy and Comfort Optimization
  • Energy Load and Power Forecasting
  • Birth, Development, and Health
  • Infant Nutrition and Health
  • Infant Development and Preterm Care
  • Genetics and Neurodevelopmental Disorders
  • Family and Disability Support Research
  • Child Development and Digital Technology
  • Venous Thromboembolism Diagnosis and Management
  • Liver Disease Diagnosis and Treatment
  • Acute Ischemic Stroke Management
  • Child Nutrition and Water Access
  • Neonatal Respiratory Health Research
  • Adaptive Control of Nonlinear Systems
  • Bladder and Urothelial Cancer Treatments
  • Tuberculosis Research and Epidemiology
  • Neurosurgical Procedures and Complications
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Mycobacterium research and diagnosis
  • Diet, Metabolism, and Disease
  • Water-Energy-Food Nexus Studies
  • Geothermal Energy Systems and Applications
  • Inflammatory mediators and NSAID effects
  • Genetic Associations and Epidemiology

Chongqing Medical University
2013-2025

Hainan University
2025

Oulu University Hospital
2014-2025

Xuzhou Medical College
2024-2025

The Affiliated Yongchuan Hospital of Chongqing Medical University
2025

University of Oulu
2025

Henan University Huaihe Hospital and Huaihe Clinical Institute
2024

Yanshan University
2024

Institute of Electrical Engineering
2024

Nankai University
2024

10.1016/s0008-8846(99)00202-1 article EN Cement and Concrete Research 2000-01-01

ABSTRACT Aim To explore nursing students' perceptions and experiences of using large language models identify the facilitators barriers by applying Theory Planned Behaviour. Design A qualitative descriptive design. Method Between January June 2024, we conducted individual semi‐structured online interviews with 24 students from 13 medical universities across China. Participants were recruited purposive snowball sampling methods. Interviews in Mandarin. Data analysed through directed content...

10.1111/jan.16655 article EN other-oa Journal of Advanced Nursing 2025-01-04

Primary intracerebral hemorrhage (ICH) carries high morbidity and mortality rates. Several factors have been suggested as predicting the outcome. The value of C-reactive protein (CRP) levels in a poor outcome is unclear, findings contradictory. In their population-based cohort, authors tested whether, independent confounding factors, elevated CRP on admission (< 24 hours after ictus) are associated with an unfavorable outcome.The identified all patients who suffered primary ICH between 1993...

10.3171/2014.7.jns132678 article EN Journal of neurosurgery 2014-08-29

Leaf nitrogen content is a critical quantitative indicator for the growth of rubber trees, and accurately determining this holds significant value agricultural management precision fertilization. This study introduces novel feature extraction framework—SFS-CAE—that integrates Sequential Feature Selection (SFS) method with Convolutional Autoencoder (CAE) technology to enhance accuracy estimation. Initially, SFS algorithm was employed select spectral bands from hyperspectral data collected...

10.3390/su17052072 article EN Sustainability 2025-02-27

Accurate air conditioning load prediction is a key component of intelligent building management system for ensuring energy saving and safe operation system. In order to improve the accuracy, particle filter (PF) fusion estimation method based on long short-term memory (LSTM) back propagation neural network (BP) proposed. Firstly, spearman correlation analysis used select influencing factors with high as feature input. Aiming at problem that original signal easy be disturbed by noise data...

10.1016/j.egyr.2022.05.289 article EN cc-by-nc-nd Energy Reports 2022-06-17
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