A5101811312- Advanced Graph Neural Networks
- Advanced Memory and Neural Computing
- Image and Signal Denoising Methods
- Advanced Numerical Analysis Techniques
- Peer-to-Peer Network Technologies
- Graph Theory and Algorithms
- Numerical methods in engineering
- Peptidase Inhibition and Analysis
- Caching and Content Delivery
- Cloud Computing and Resource Management
- Neural Networks and Applications
- Misinformation and Its Impacts
- Advanced Database Systems and Queries
- Topic Modeling
- Advanced Image and Video Retrieval Techniques
- 3D IC and TSV technologies
- Advancements in Photolithography Techniques
- Video Coding and Compression Technologies
- Extracellular vesicles in disease
- Magnetic Field Sensors Techniques
- Privacy-Preserving Technologies in Data
- Technostress in Professional Settings
- Artificial Intelligence in Healthcare and Education
- Advanced Drug Delivery Systems
- Adenosine and Purinergic Signaling
First Affiliated Hospital of Xiamen University
2024
Harbin Institute of Technology
2024
Shandong Normal University
2016-2023
Nantong University
2022
University of Chinese Academy of Sciences
2022
Taizhou People's Hospital
2022
Hubei University Of Economics
2020
Hubei University
2020
Tsinghua University
2015
Institute of Microelectronics
2015
Abstract Efficient oxygen evolution reaction (OER) electrocatalysts play a pivotal role in water electrolysis, notably for industrial high current densities (>1000 mA cm −2 ). Crystalline/amorphous heterostructure interfaces have proven to be advantageous enhancing the OER activities of electrocatalytic materials. However, constructing and tailoring crystalline/amorphous still remain great challenge due destruction active substrates by intricate post‐treatment. Here, strategy tailor...
Radiotherapy combined with immune checkpoint blockade holds great promise for synergistic antitumor efficacy. Targeted radionuclide therapy delivers radiation directly to tumor sites. LNC1004 is a fibroblast activation protein (FAP)-targeting radiopharmaceutical, conjugated the albumin binder Evans Blue, which has demonstrated enhanced uptake and retention in previous preclinical clinical studies. Herein, we demonstrate that
Graphs are widely used to describe real-world objects and their interactions. Graph Neural Networks (GNNs) as a de facto model for analyzing graphstructured data, highly sensitive the quality of given graph structures. Therefore, noisy or incomplete graphs often lead unsatisfactory representations prevent us from fully understanding mechanism underlying system. In pursuit an optimal structure downstream tasks, recent studies have sparked effort around central theme Structure Learning (GSL),...
With the development of learning-based embedding models, vectors are widely used for analyzing and searching unstructured data. As vector collections exceed billion-scale, fully managed horizontally scalable databases necessary. In past three years, through interaction with our 1200+ industry users, we have sketched a vision features that next-generation should have, which include long-term evolvability, tunable consistency, good elasticity, high performance. We present Manu, cloud native...
Abstract Alzheimer's disease (AD) is one of the most prevalent forms dementia in older individuals. Convergent evidence suggests structural connectome abnormalities specific brain regions are linked to AD progression. The biological basis underpinnings these changes, however, have remained elusive. We utilized an individual regional mean connectivity strength (RMCS) derived from a radiomics similarity network capture altered morphological 1654 participants (605 normal controls, 766 mild...
High-dimensional vector similarity search (HVSS) is gaining prominence as a powerful tool for various data science and AI applications. As scales up, in-memory indexes pose significant challenge due to the substantial increase in main memory requirements. A potential solution involves leveraging disk-based implementation, which stores searches on high-performance devices like NVMe SSDs. However, implementing HVSS segments proves be intricate databases where single machine comprises multiple...
How to reduce the content placement cost of cloud delivery networks (CCDNs) is a hot topic in recent years. Traditional methods mainly by constructing trees, but they cannot adapt dynamic deployment proxy servers CCDNs. In addition, traditional method only provides paths according local decision-making without considering global dynamics congestion CCDNs, which also one main factors causing high placement. To solve these problems, we propose model based on Q-learning for called Q-content...
The Brain Age Gap (BAG), which refers to the difference between chronological age and predicted neuroimaging age, is proposed as a potential biomarker for age-related brain degeneration. However, existing prediction models usually rely on single marker can not discover meaningful hidden information in radiographic images. This study focuses application of radiomics, an advanced imaging analysis technique, combined with automated machine learning predict BAG. Our methods achieve promising...
In the context of relatively sufficient research that annotated WNT1 inducible signaling pathway protein 1 (WISP1) as a promoting factor in tumor progression breast cancer, and identified effects ultrasound microbubble technology on enhancing transfection efficiency achieving better gene interference, this study managed to investigate microbubble-mediated siWISP1 proliferation metastasis cancer cells. To achieve our objectives, expression WISP1 tissues was retrieved from GEPIA website,...
A reciprocal recommender system for graduates' recruitment (RRSGR) is presented in this paper. RRSGR makes full use of the historical information university about graduates and former graduates. Both collaborative filtering content-based are incorporated RRSGR, which help to achieve a win-win situation between employers. Probabilistic neighborhood selection priority k-medoids clustering adopted improve diversity recommendation results. preliminary evaluation has been conducted based on real...
User-directed means the process of carrying out fault tolerance is dynamic and mode chosen by users based on application requirements. In this paper, we introduce a general scheme standard MPI to provide user directed support for level algorithmic tolerance. The user-directed plays role as connection between applications As case study, our has been incorporated HPL combined with non-blocking ABFT technique. We have tested functional availability in real circumstance. also evaluated that when...
In this study, we investigated the effects of Cu doping on performance CoFeSiB amorphous microwires as core a fluxgate magnetometer. The noise sensors primarily depends crystal structure constituent materials. with varying ratios were prepared using melt-extraction technology. microstructure microwire configurations was observed transmission electron microscopy, and growth nanocrystalline examined. Additionally, magnetic tested to establish relationship between Cu-doped wires sensor...
Spiking neural networks (SNNs) are becoming a promising alternative to conventional artificial (ANNs) due their rich dynamics and the implementation of energy-efficient neuromorphic chips. However, non-differential binary communication mechanism makes SNN hard converge an ANN-level accuracy. When encounters sequence learning, situation becomes worse difficulties in modeling long-range dependencies. To overcome these difficulties, researchers developed variants LIF neurons different surrogate...
With the development of learning-based embedding models, vectors are widely used for analyzing and searching unstructured data. As vector collections exceed billion-scale, fully managed horizontally scalable databases necessary. In past three years, through interaction with our 1200+ industry users, we have sketched a vision features that next-generation should have, which include long-term evolvability, tunable consistency, good elasticity, high performance. We present Manu, cloud native...
This paper investigates one kind of interpolation for scattered data by bi-cubic polynomial natural spline, in which the integral square partial derivative two orders to x and y interpolating function is minimal (with boundary conditions). Firstly, spline interpolations with four kinds conditions are studied. By methods Hilbert space, their solutions constructed as sum bi-linear polynomials piecewise polynomials. Some properties also In fact, on a rectangular domain generalization cubic an...
The prevalence and perniciousness of fake news has been a critical issue on the Internet, which stimulates development automatic detection in turn. In this paper, we focus evidence-based detection, where several evidences are utilized to probe veracity (i.e., claim). Most previous methods first employ sequential models embed semantic information then capture claim-evidence interaction based different attention mechanisms. Despite their effectiveness, they still suffer from two main...
Various types of defects are prone to be occurred inside the TSV during manufacturing and bonding steps, thereby severely impacting yield 3D-stacked ICs. Moreover, several latent may easily escape detection test. However, these TSVs degrade field operation eventually become faulty then destroy entire IC. To tackle above problems, in this paper, we present an effective self-repair scheme for By designing redundant a architecture, proposed can effectively repair detected by test improving TSVS...
Objective To evaluate the outcome of negative pressure closed drainage with chitosan membrane in treatment multiple drug-resistant bacterial infections. Methods From January 2015 to December 2017, 108 patients skin ulcer wound complicated by infection were admitted department burn and plastic surgery, Qingdao Jiaozhou Central Hospital. Among them, 36 had ulcers, 40 cases diabetic foot wounds, 32 traumatic wounds. Patients divided into group A or B for different treatments. In A,...