A5101138559- Network Security and Intrusion Detection
- Network Packet Processing and Optimization
- Computer Graphics and Visualization Techniques
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Analytical chemistry methods development
- Hepatocellular Carcinoma Treatment and Prognosis
- Medical Research and Treatments
- Cardiac Imaging and Diagnostics
- IPv6, Mobility, Handover, Networks, Security
- Advanced biosensing and bioanalysis techniques
- Cardiovascular Function and Risk Factors
- Bone and Joint Diseases
- Traditional Chinese Medicine Studies
- Advanced Vision and Imaging
- Advanced Malware Detection Techniques
- Multimodal Machine Learning Applications
- Artificial Intelligence in Games
- Chromatography in Natural Products
- Forensic Toxicology and Drug Analysis
- Chemotherapy-induced cardiotoxicity and mitigation
- Liver Disease Diagnosis and Treatment
- Atrial Fibrillation Management and Outcomes
- Human Motion and Animation
- Electrochemical Analysis and Applications
- Heat Transfer and Optimization
Wenzhou Central Hospital
2024-2025
Zhengzhou University
2024-2025
Peking University
2025
Fuzhou University
2024
Ningde Normal University
2024
Central South University
2024
The Third Affiliated Hospital of Zhejiang Chinese Medical University
2023
Huazhong University of Science and Technology
2018-2021
Ministry of Ecology and Environment
2018-2021
Fujian Institute of Microbiology
2012-2021
For Large Vision-Language Models (LVLMs), scaling the model can effectively improve performance. However, expanding parameters significantly increases training and inferring costs, as all are activated for each token in calculation. In this work, we propose a novel strategy MoE-tuning LVLMs, which constructing sparse with an outrageous number of parameter but constant computational cost, addresses performance degradation typically associated multi-modal learning sparsity. Furthermore,...
Anthracycline drugs mainly include doxorubicin, epirubicin, pirarubicin, and aclamycin, which are widely used to treat a variety of malignant tumors, such as breast cancer, gastrointestinal lymphoma, etc. With the accumulation anthracycline in body, they can induce serious heart damage, limiting their clinical application. The mechanism by cause cardiotoxicity is not yet clear. This review provides an overview different types cardiac damage induced anthracycline-class delves into molecular...
Isolation of substances by liquid-phase microextraction (LPME) or electromembrane extraction (EME) is becoming more and important in analytical chemistry. However, the understanding mass transfer LPME EME limited, especially for highly concentrated samples. In this work, from aqueous samples (0.5–200 mg L–1) was studied terms recovery, equilibrium time, flux, capacity. both LPME, high recoveries were achieved at low analyte concentration, decreased concentration. For EME, loss recovery...
Detection of heavy metals is great importance for food safety and environmental analysis. Among various metal ions, mercury ion one the most prevalent species. The methods detection were numerous, T–Hg–T based assay was promising due to its simplicity compatibility. However, traditional mainly relied on multiple produce enough conformational changes further detection, which greatly restrained limit detection. Hence, we established a branch-migration fluorescent probe found that single could...
Abstract Childhood obesity not only has a negative impact on child's health but is also significant risk factor for adult and related metabolic disorders, making it major global public concern. Recent studies have revealed the crucial role of gut microbiota in occurrence development obesity, addition to genetic lifestyle factors. In this study, we recruited 19 normal-weight children 47 with varying degrees obesity. A questionnaire survey was conducted inquire about family background, habits...
Introduction: Due to the cardiotoxicity of pirarubicin (THP), it is necessary investigate new compounds for treatment THP-induced cardiotoxicity. Isoquercitrin (IQC) a natural flavonoid with anti-oxidant and anti-apoptosis properties. Thus, present study aimed influence IQC on preventing in vivo vitro . Methods: The optimal concentration time required prevent cardiomyocyte damage were determined by an MTT assay. protective effect was further verified H9c2 HCM cells using...
<title>Abstract</title> IPv6 target generation techniques are crucial for Internet-wide rapid scanning of network assets. Current algorithms mostly limited to low-dimensional patterns (pattern dimensions ≤ 4) within the address space tree (6ASTree). Due uneven distribution seed addresses and irreversibility clustering in existing algorithms, number single-tree like 6Scan 6Tree, or dual-tree HMap6, is limited. Additionally, large-scale loss high-dimensional pattern spaces pose challenges...
Recent advances in text-to-video generation (T2V) have achieved remarkable success synthesizing high-quality general videos from textual descriptions. A largely overlooked problem T2V is that existing models not adequately encoded physical knowledge of the real world, thus generated tend to limited motion and poor variations. In this paper, we propose MagicTime, a metamorphic time-lapse video model, which learns real-world physics implements generation. First, design simple yet effective...
Recent 3D large reconstruction models typically employ a two-stage process, including first generate multi-view images by diffusion model, and then utilize feed-forward model to reconstruct content. However, often produce low-quality inconsistent images, adversely affecting the quality of final reconstruction. To address this issue, we propose unified generation framework called Cycle3D, which cyclically utilizes 2D diffusion-based module during multi-step process. Concretely, is applied for...
The video-language (VL) pretraining has achieved remarkable improvement in multiple downstream tasks. However, the current VL framework is hard to extend modalities (N modalities, N>=3) beyond vision and language. We thus propose LanguageBind, taking language as bind across different because modality well-explored contains rich semantics. Specifically, we freeze encoder acquired by pretraining, then train encoders for other with contrastive learning. As a result, all are mapped shared...
Rutting is a prevalent issue in the Gussasphalt (GA) mixture layer of steel bridge deck pavements. This study aims to investigate correlation between rheology GA mastic and high-temperature performance mixture. To achieve this objective, underwent temperature frequency sweep tests, along with multiple stress creep recovery tests employing dynamic shear rheometer. Additionally, indentation uniaxial penetration Lueer fluidity were conducted on The Grey Relational Analysis method was employed...
The purpose of our study is to analyze the clinical, ultrasonic, microbiologic, and histopathologic characteristics, management, outcomes in a series primary canaliculitis with concretions patients who underwent canaliculotomy curettage.Thirty-six were reviewed for age, sex, location laterality, duration symptoms, clinical ultrasonic signs, result microbiologic culture examination, treatment, outcomes. Main microbiological characteristics canalicular concretions; profiles; treatment...
<b>Background</b> Bezafibrate is widely used in clinics for its comparable angiogenic effect. Our research to investigate the effect of bezafibrate on random skin flap survival. <b>Materials and Methods</b> The “McFarlane flap” rat models were established 30 male Sprague-Dawley rats which divided into two groups. treatment group was given (400 mg/kg/day; gavage administration), control received vehicle. surviving area measured after 7 days, tissue samples taken histological analysis edema...
With the rapid development of 5G, artificial intelligence(AI), big data and cloud computing, high performance density centers have become fundamental infrastructure to address continuous demand for cost-efficiency energy-efficiency application. In order cope with request, power consumption CPU GPU chips has significantly increased year by year, resulting in huge thermal design challenges traditional air-cooling solution. For example, Thermal Design Power (TDP) 3 <sup...
Novel technologies such as cloud computing, Big Data, Machine Learning (ML) and Artificial Intelligence (AI) have been widely applied worldwide to cater for various industrial application, eventually demanding more powerful data centers. Data center's thermal cooling strategy has evolving in the past years most traditional centers still adopts air solution IT equipment's' dissipates waste heat environment directly. However, almost reached bottleneck cool high power of CPU GPU also consumes...
While recent progress in multimodal large language models tackles various modality tasks, they posses limited integration capabilities for complex multi-modality consequently constraining the development of field. In this work, we take initiative to explore and propose LLMBind, a unified framework task integration, which binds Large Language Models corresponding pre-trained with task-specific tokens. Consequently, LLMBind can interpret inputs produce outputs versatile combinations image,...