- Diabetes, Cardiovascular Risks, and Lipoproteins
- Pain Management and Opioid Use
- Antenna Design and Optimization
- Pediatric Pain Management Techniques
- Antenna Design and Analysis
- Heart Rate Variability and Autonomic Control
- Multimodal Machine Learning Applications
- Cardiovascular and exercise physiology
- Nanoplatforms for cancer theranostics
- Advanced Image and Video Retrieval Techniques
- Non-Invasive Vital Sign Monitoring
- Topic Modeling
- Microwave Engineering and Waveguides
- Occupational Health and Performance
- Workplace Health and Well-being
- Obesity, Physical Activity, Diet
- Physical Activity and Health
- Anesthesia and Pain Management
- Advanced Neural Network Applications
- Visual Attention and Saliency Detection
- Health Promotion and Cardiovascular Prevention
- Advanced biosensing and bioanalysis techniques
- IL-33, ST2, and ILC Pathways
- Innovative Human-Technology Interaction
- Energy Harvesting in Wireless Networks
Shanghai Artificial Intelligence Laboratory
2023-2024
Beijing Academy of Artificial Intelligence
2024
National Defense Medical Center
2015-2023
Tri-Service General Hospital
2015-2023
Tri-Service General Hospital Songshan Branch
2023
Shanghai Open University
2023
Nanjing Medical University
2023
Restaurant Opportunities Centers United
2020
Anhui Agricultural University
2019
National Taiwan University
2019
Rapid and early diagnosis of respiratory viruses is key to preventing infections from spreading guiding treatments. Here, we developed a sensitive quantitative surface-enhanced Raman scattering-based lateral flow immunoassay (SERS-based LFIA) strip for simultaneous detection influenza A H1N1 virus human adenovirus (HAdV) by using Fe3O4@Ag nanoparticles as magnetic SERS nanotags. The new type tags, which were conjugated with dual-layer dye molecules target virus-capture antibodies, performs...
Photothermal therapy as novel strategy to convert near-infrared (NIR) light into heat for treatment cancers has attracted great attention and been widely studied. However, side effects low efficiency remain the main challenge of precise cancer photothermal therapy. Methods: In this study, we have successfully fabricated characterized dual-targeted gold nanoprisms, whereby bare nanoprisms (Au NPR) were conjugated a phenanthroline derivatives-functionalized tetraphenylethene (TPE) further...
Background: Singlet oxygen ( 1 O2) has received considerable research attention in photodynamic therapy (PDT) due to its cytotoxic solid features.However, the inherent hypoxic state of tumor microenvironment (TME) leads meager O2 quantum yield inorganic PDT reagents, and their application vivo remains elusive.Methods: We developed a novel strategy fabricate active photosynthetic bacteria/ photosensitizer/photothermal agent hybrids for oxygenation PTT under different laser irradiation...
Abstract Background Birth defects are responsible for approximately 7% of neonatal deaths worldwide by World Health Organization in 2004. Many methods have been utilized examining the congenital anomalies fetuses. This study aims to investigate efficiency simultaneous CNV-seq and whole-exome sequencing (WES) diagnosis fetal anomaly based on a large Chinese cohort. Methods In this cohort study, 1800 pregnant women with singleton fetus Hubei Province were recruited from 2018 2020 prenatal...
Transformers have revolutionized computer vision and natural language processing, but their high computational complexity limits application in high-resolution image processing long-context analysis. This paper introduces Vision-RWKV (VRWKV), a model adapted from the RWKV used NLP field with necessary modifications for tasks. Similar to Vision Transformer (ViT), our is designed efficiently handle sparse inputs demonstrate robust global capabilities, while also scaling up effectively,...
<sec> <title>BACKGROUND</title> The COVID-19 pandemic has significantly altered lifestyles, with an increasing reliance on digital fitness applications and devices for home workouts. Among these, the Nike Training Club (NTC) app Nintendo’s Ring Fit Adventure (RFA) emerged as popular solutions young individuals seeking to maintain physical activity. </sec> <title>OBJECTIVE</title> This study aims compare usability of NTC RFA among users explore influence gender their evaluations....
Metabolic syndrome (MetS) is a complex condition that captures several markers of dysregulation, including obesity, elevated blood glucose levels, dyslipidemia and hypertension. Using an approach to early prediction MetS risk in hospital employees takes into account the differing effects gender may be expected improve cardiovascular disease-related health outcomes. In this study, machine learning techniques were applied construct optimized model for use on employees. This population-based...
The COVID-19 outbreak has not only changed the lifestyles of people globally but also resulted in other challenges, such as requirement self-isolation and distance learning. Moreover, are unable to venture out exercise, leading reduced movement, therefore, demand for exercise at home increased.We intended investigate relationships between a Nintendo Ring Fit Adventure (RFA) intervention improvements running time, cardiac force index (CFI), sleep quality (Chinese version Pittsburgh Sleep...
We present an interactive visual framework named InternGPT, or iGPT for short. The integrates chatbots that have planning and reasoning capabilities, such as ChatGPT, with non-verbal instructions like pointing movements enable users to directly manipulate images videos on the screen. Pointing (including gestures, cursors, etc.) can provide more flexibility precision in performing vision-centric tasks require fine-grained control, editing, generation of content. name InternGPT stands...
We present the All-Seeing (AS) project: a large-scale data and model for recognizing understanding everything in open world. Using scalable engine that incorporates human feedback efficient models loop, we create new dataset (AS-1B) with over 1 billion regions annotated semantic tags, question-answering pairs, detailed captions. It covers wide range of 3.5 million common rare concepts real world, has 132.2 tokens describe their attributes. Leveraging this dataset, develop (ASM), unified...
To explore the mediational effect of activities daily living (ADL) and kinesiophobia on cardiac function health status patients with chronic heart failure (CHF).From October 2021 to January 2022, a total 244 CHF treated in Department Cardiology general hospitals were recruited by convenience sampling method. They investigated Tampa Scale for Kinesiophobia Heart (TSK-SV Heart), Barthel index assessing ADL, EuroQol five-dimensional questionnaire (EQ-5D) status.The both negatively correlated...
Abstract Background Several cross-sectional studies have reported risk factors for metabolic syndrome (MetS). However, these did not focus on sex differences in middle-aged and senior populations or employ a longitudinal design. These study design are important, as there lifestyle habits associated with MetS, individuals increased MetS susceptibility. Therefore, the purpose of this was to examine whether influenced over ten-year follow-up period among hospital employees. Methods This...
While CLIP models are useful for zero-shot vision-and-language (VL) tasks or computer vision tasks, little attention has been paid to the application of language tasks. Intuitively, model have a rich representation pre-trained with natural supervision, in which we argue that it is Hence, this work bridge gap by investigating text classification. Specifically, introduce CLIPText, novel paradigm classification, reformulates classification into text-image matching problem can be applied to. In...
Conventional photodynamic therapy (PDT) is limited by its penetration depth due to the photosensitizer and light source. In this study, we developed X-ray induced that applied as source activate Ce-doped CaCO3 (CaCO3:Ce) generate an intracellular reactive oxygen species (ROS) for killing cancer cells. The A549 cell line was used in vitro vivo model evaluate efficacy of X-ray-induced CaCO3:Ce. viability significantly decreased cytotoxicity obviously increased with CaCO3:Ce exposure under...
Clinically significant pain (CSP) is one of the most common complaints among cancer patients during repeated hospitalizations, and prevalence ranges from 24% to 86%. This study aimed characterize trends in CSP examine differences across hospitalizations. A hospital-based, retrospective cohort was conducted at an academic hospital. Patient-reported intensity assessed recorded a nursing information system. We examined worst (WPI) last evaluated (LPI) ≥ 4 or 7 points inpatients 1st 18th...
Background Authors of several studies have reported differences in the prevalence metabolic syndrome (MetS) between men and women. However, information is lacking on gender difference among military personnel. Objective The aim this study was to examine MetS its component abnormalities Taiwanese Air Force personnel by age groups. Methods A population-based conducted including 14 872 Data were retrieved from military's Health Management Information System. Analyses performed using Student t...
Objective. Developing a new measurement index is the first step in evaluating pain relief outcomes. Although percentage difference intensity (%PID) most popular indicator, this indicator does not take into account goal of relief. Therefore, aims study were to develop (PRI) for outcome evaluation and examine using demographic characteristics cancer inpatients with clinically significant pain. Design. Retrospective cohort study. Setting. A national hospital. Subjects. All inpatients. Methods....
Background The integration of wearable devices into fitness routines, particularly in military settings, necessitates a rigorous assessment their accuracy. This study evaluates the precision heart rate measurements by locally manufactured wristbands, increasingly used academies, to inform future device selection for training activities. Objective research aims assess reliability monitoring chest straps versus wristbands. Methods Data on and acceleration were collected using Q-Band Q-69 smart...
Background: Parotid abscess is an uncommon condition, but it can cause potentially lethal systemic infections. The aim of this study was to analyze cases with parotid during 15-year period and further determine the optimal diagnostic therapeutic modalities at a tertiary medical center in Taiwan. Patients Methods: Nineteen patients diagnosed were retrospectively analyzed from November 2002 October 2017. Patients' clinical symptoms, etiology, methods, bacteriology, antibiotic surgical...
A broadband and wide-beamwidth dual circularly polarized (CP) antenna is presented in this paper. The consists of two bent dipoles placed a crossed shape. are individually fed with signals quadrature phases from 3-dB hybrid coupler chip. metal cavity serving as reflector used to produce unidirectional radiation pattern. Measurements show that the has an impedance bandwidth 66.2% (0.98-1.95 GHz) for |S <sub xmlns:mml="http://www.w3.org/1998/Math/MathML"...
To examine the reliability and validity of a modified Chinese version uraemic pruritus scale for measurement different degrees itching, as well to identify predictors severity among long-term dialysis patients.Long-term patients (n = 110) were recruited cross-sectional study from medical centre in Taiwan. A was used evaluate sleep disturbance severity, frequency distribution itching. Reliability evaluated using item-total correlations, Cronbach's α, intra-class correlation. Validity by...
Existing open-source multimodal large language models (MLLMs) generally follow a training process involving pre-training and supervised fine-tuning. However, these suffer from distribution shifts, which limit their reasoning, particularly in the Chain-of-Thought (CoT) performance. To address this, we introduce preference optimization (PO) to enhance reasoning capabilities of MLLMs. Specifically, (1) on data side, design an automated construction pipeline create MMPR, high-quality,...
Vision transformers have gained popularity recently, leading to the development of new vision backbones with improved features and consistent performance gains. However, these advancements are not solely attributable novel feature transformation designs; certain benefits also arise from advanced network-level block-level architectures. This paper aims identify real gains popular convolution attention operators through a detailed study. We find that key difference among modules, such as or...