A5043193778- Spinal Fractures and Fixation Techniques
- Medical Imaging and Analysis
- Spine and Intervertebral Disc Pathology
- Domain Adaptation and Few-Shot Learning
- Machine Learning and Algorithms
- Multimodal Machine Learning Applications
- Topic Modeling
- Pelvic and Acetabular Injuries
- Infectious Diseases and Tuberculosis
- Shoulder and Clavicle Injuries
- Text and Document Classification Technologies
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Musculoskeletal pain and rehabilitation
- Myofascial pain diagnosis and treatment
- Semantic Web and Ontologies
- Therapeutic Uses of Natural Elements
- Shoulder Injury and Treatment
- Recommender Systems and Techniques
- Trauma Management and Diagnosis
- Bioactive Natural Diterpenoids Research
- Face and Expression Recognition
- Inflammasome and immune disorders
- Complementary and Alternative Medicine Studies
- Quality Function Deployment in Product Design
- Collagen: Extraction and Characterization
Shandong Institute of Automation
2024-2025
Chinese Academy of Sciences
2023-2024
Beihang University
2018-2024
Institute of Automation
2023-2024
Chongqing Medical University
2011-2021
The Affiliated Yongchuan Hospital of Chongqing Medical University
2012
Xian Yang Central Hospital
2008
Abstract Background Notwithstanding the clinical hallmarks of COVID-19 patients were reported, several critical issues still remain mysterious, i.e., prognostic factors for including extrinsic as viral load SARS-CoV-2 and intrinsic individual’s health conditions; myocarditis incidence rate hallmarks. Methods Demographic, epidemiologic, radiologic laboratory data collected by medical record reviews adult hospitalized diagnosed COVID-19. Cycle threshold (Ct) value real-time PCR (RT-PCR)...
Abstract Introduction Postoperative delirium is a common clinical manifestation in geriatric patients, resulting prolonged hospitalization and increased economic burden, addition to higher morbidity mortality rates. Therefore, identifying non‐obvious risk factors that contribute the development of postoperative patients crucial. Methods From J anuary 2011 une 2013, 200 over 65 years age scheduled for orthopedic surgery were randomly selected statistically analyzed with respect effects...
Circulating vitamin D has previously been found to be lower in patients with Parkinson's disease (PD), while the effects of sunlight exposure have not yet fully investigated. Therefore, we evaluated associations between serum D, intake, exposure, and newly-diagnosed PD a Chinese population. This case-control study measured 25-hydroxyvitamin (25(OH)D) levels 201 199 controls without neurodegenerative diseases. Data on intake were obtained using self-report questionnaire. Multivariable...
Vision and text have been fully explored in contemporary video-text foundational models, while other modalities such as audio subtitles videos not received sufficient attention. In this paper, we resort to establish connections between multi-modality video tracks, including Vision, Audio, Subtitle, Text by exploring an automatically generated large-scale omni-modality caption dataset called VAST-27M. Specifically, first collect 27 million open-domain clips separately train a vision captioner...
Background: Chronic non-specific low back pain (NLBP) affects people of all ages and pose a serious threat to human health. Fu's subcutaneous needling (FSN) has been reported be effective in treating such disorders, but the control group is lacking. The aim this randomized parallel study compare long-term efficiency FSN therapy with massage for treatment NLBP. Methods: A total 60 chronic NLBP patients recruited from Yongchuan Hospital Chongqing Medical University were randomly assigned or...
Abstract Chronic obstructive pulmonary disease (COPD) is an irreversible with the leading causes of morbidity, mortality, and several physical limitations. Isodon Suzhouensis a unique Chinese medicinal plant used for both medicine food. It possesses strong anti‐inflammatory effects that may treat COPD. Considering fact extract (WZZE) its active ingredient glaucocalyxin A (GLA) on COPD have never been reported before, this study aimed to investigate WZZE GLA against underlying mechanistic...
Given a question and set of candidate answers, answer selection is the task identifying best answer, which can be viewed as kind learning-to-rank tasks. Learning to rank arises in many information retrieval applications, where deep learning models achieve inspiring results. Training model often requires large scale annotated data that are expensive time-consuming obtain. Active presents promising approach this problem by selecting more informative training reduce amount labelling efforts...
To investigate the clinical efficacy of continuous veno-venous hemodia-filtration (CVVHDF) combined with hemoperfusion (HP) HA380 in treatment heat stroke patients multiple organ dysfunction syndrome (MODS).
Despite most state-of-the-art models having achieved amazing performance in Visual Question Answering (VQA) , they usually utilize biases to answer the question. Recently, some studies synthesize counterfactual training samples help model mitigate biases. However, these synthetic need extra annotations and often contain noises. Moreover, methods simply add data train with cross-entropy loss, which cannot make best use of In this article, VQA more effectively, we propose a Hierarchical...
In this paper, the algorithm based on graph learning and embedding framework, Speaker-Penalty Graph Learning (SPGL), is proposed in research of speech emotion recognition to s ...
?To investigate the influence of ISOBAR TTL dynamic internal fixation system on degeneration adjacent intervertebral disc by MRI measurement lumbar nucleus pulposus volume in treating degenerative disease after operation.?Between March 2010 and October 2011, 34 patients with herniation (23 cases paracentral type 11 lateral type) underwent operation for single segment, clinical data were analyzed retrospectively. There 20 males 14 females, aged 39-62 years (mean, 47.5 years). The duration was...
Knowledge-based Visual Question Answering (VQA) requires models to incorporate external knowledge respond questions about visual content. Previous methods mostly follow the "retrieve and generate" paradigm. Initially, they utilize a pre-trained retriever fetch relevant documents, subsequently employing them generate answers. While these have demonstrated commendable performance in task, possess limitations: (1) employ an independent acquire solely based on similarity between query...
Knowledge-based visual question answering (KB-VQA) is a challenging task, which requires the model to leverage external knowledge for comprehending and questions grounded in content. Recent studies retrieve passages from bases then use them answer questions. However, these retrieved often contain irrelevant or noisy information, limits performance of model. To address challenge, we propose two synergistic models: Knowledge Condensation Reasoning We condense perspectives. First, multimodal...
Given a set of labels, multi-label text classification (MLTC) aims to assign multiple relevant labels for text. Recently, deep learning models get inspiring results in MLTC. Training high-quality MLTC model typically demands large-scale labeled data. And comparing with annotations single-label data samples, samples are more time-consuming and expensive. Active can enable achieve optimal prediction performance using fewer samples. Although active has been considered models, there few studies...