A5100769127- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
- Distributed systems and fault tolerance
- Aluminum Alloys Composites Properties
- Aluminum Alloy Microstructure Properties
- Microstructure and mechanical properties
- Caching and Content Delivery
- Optical measurement and interference techniques
- Advanced Image and Video Retrieval Techniques
- 3D Shape Modeling and Analysis
- Peer-to-Peer Network Technologies
- Diverse Aspects of Tourism Research
- Optical Systems and Laser Technology
- Hereditary Neurological Disorders
- Topic Modeling
- Higher Education and Teaching Methods
- Advanced Neural Network Applications
- Natural Language Processing Techniques
- Tourism, Volunteerism, and Development
- Digital Marketing and Social Media
- Advanced Vision and Imaging
- Congenital Ear and Nasal Anomalies
- Advanced Mathematical Theories
- AI in Service Interactions
- Power Systems Fault Detection
Fuzhou University
2024
Beijing Jiaotong University
2024
Shanghai International Studies University
2024
Yunnan University
2024
China National Petroleum Corporation (China)
2024
Shanghai Ninth People's Hospital
2018-2023
Shanghai Jiao Tong University
2015-2023
Industrial and Commercial Bank of China
2023
Zhejiang University
2022
Shanghai Institute of Hematology
2022
Abstract An improved understanding of both community attitudes toward tourism and host–guest interaction is vital for the sustainable development tourism. However, there are significant research deficiencies gaps in these two related areas. This conceptual paper looks into glaring through a review literature attempts to provide solutions suggested by an ongoing project being conducted Melbourne, Victoria, Australia. In particular, while this addresses impacts personality ethnicity on points...
AbstractFew studies have investigated contemporary professional migrant women from mainland China to developed economies like Australia understand their motives of migration and the strategy they may adopt advance careers. This paper fills part this important research gap by investigating career rebuilding experience Chinese immigrants in Australia. It examines migration, aspirations, strategies rebuild types are rebuilding. explores how compounded effect gender, race, immigration family...
Medical artificial intelligence (AI) has been moving from the research phase to clinical implementation. However, most AI-based models are mainly built using high-quality images preprocessed in laboratory, which is not representative of real-world settings. This dataset bias proves a major driver AI system dysfunction. Inspired by design flow cytometry, DeepFundus, deep-learning-based fundus image classifier, developed provide automated and multidimensional sorting address this data quality...
This research investigates how AI powered language learning apps impact acquisition, among learners in China. The main focus is on comparing the effectiveness of these to methods. study uses an approach measuring growth over time experimental and control groups that use different It hypothesized driven apps, which personalize experience provide feedback can improve retention recall abilities. Additionally explores influence gamification by analyzing its effects learner motivation engagement....
Research interest in Chinese businesses Africa has surged recent years. While state-owned firms have attracted considerable attention regarding the motives of their investment, relatively few studies examined strategy and human resource management (HRM) implications. Similarly, causes underlying expansion mining internationally effects are yet to be adequately addressed international literature. This study fills these research gaps through investigation four firms, adopted facilitate this...
The patients with relapsed and refractory diffuse large B-cell lymphoma (DLBCL) have poor prognosis, a novel effective therapeutic strategy for these is urgently needed. Although ubiquitin-specific protease 1 (USP1) plays key role in cancer, the carcinogenic effect of USP1 remains elusive. Here we found that highly expressed DLBCL patients, high expression predicts prognosis. Knocking down or specific inhibitor USP1, pimozide, induced cell growth inhibition, cycle arrest autophagy cells....
Multimode fiber (MMF) based endoscopy could reach high resolution and is fine enough for vivo imaging. However, the received images are speckles due to mode crosstalk sensitivity environment of MMF, which makes image reconstruction main challenge. We propose use pre-trained autoencoder from original images, shows performance fast convergence speed. The network architecture includes two parts, i.e., encoder decoder. In first step, we pre-train initialize parameters second can learn mapping...
Abstract With the rapid increase in number of three-dimensional (3D) models each year, to quickly and easily find part desired has become a big challenge enterprises. Meanwhile, many methods algorithms have been proposed for retrieval. However, most existing are designed mechanical parts, can not be well worked sheet metal An approach feature-based retrieval parts is presented. Firstly, features frequently used design chosen as “key words” Based on those features, relative position model...
Action recognition is one significant yet challenging task in computer vision. Recent methods mainly model an end-to-end one-stage non-deep or deep learning networks to distinguish different action categories. In this paper we introduce novel hierarchical classification framework: Unlike existing models, the proposed work improves accuracy by: 1) developing a coarse-to-fine framework by dividing processing into two stages: coarse- grained and fine-grained classification, 2) representing...
To report 12 patients with neurotrophic keratopathy due to the trigeminal nerve injury after intracranial tumor surgeries underwent minimally invasive corneal neurotization and evaluate outcomes of reinnervation.Twelve (12 eyes) caused by received neurotization. All preoperative central sensation was under 5 mm, performed over 6 months surgery. Follow-up conducted 1 week month surgery then every 3 months. Twelve healthy age-matched participants were enrolled as controls. The indicators...
Objective This study aimed to develop an adverse drug reactions (ADR) antecedent prediction system using machine learning algorithms provide the reference for security usage of Chinese herbal injections containing Panax notoginseng saponin in clinical practice. Design A nested case–control study. Setting National Center ADR Monitoring and Electronic Medical Record (EMR) system. Participants All patients were from five medical institutions Sichuan Province January 2010 December 2018. Main...
Abstract To meet the rigorous demands of large‐scale data sharing in global collaborations, we present a replication scheme for NFSv4 that supports mutable without sacrificing strong consistency guarantees. Experimental evaluation indicates substantial performance advantage over single‐server system. With introduction hierarchical control protocol, overhead is negligible even when applications mostly write and servers are widely distributed. Evaluation with NAS Grid Benchmarks demonstrates...
Goldenhar syndrome has variable presentations and can affect multiple regions of the body. Diagnoses are based on clinical manifestations. The association with blepharophimosis limb deformities not previously been reported. Here, we describe a patient who was diagnosed in blepharophimosis, ocular hypertelorism, hearing loss deformities. A 10-year-old male first referred to our ophthalmology clinic 2009–2-11 for hypertelorism microphthalmia when he had chin-up position. In ophthalmic...
The aim of the present study was to examine clinical value continuously monitoring serum CC16 levels in diagnosing pulmonary contusion, estimating its severity degree and predicting disease progression. Thirty-one acute trauma patients with lung contusion diagnosed by chest computed tomography (CT) were included, CT re-examined on day 1, 3 7 after injury. Calculating all volume Siemens syngo calculation program, complications such as pleural effusion or atelectasis observed recorded. ELISA...
SnapFind is an image retrieval system that enables efficient interactive search of large data sets by exploiting active disk technology. In contrast to earlier approaches, where typically pre-indexed for according a fixed scheme, provides users with the flexibility non-indexed in brute force manner. The query translated into customized searchlet executed parallel processors near storage devices. This majority irrelevant images be discarded they are stored. Partial results displayed during...
We develop a consistent mutable replication extension for NFSv4 tuned to meet the rigorous demands of large-scale data sharing in global collaborations. The system uses hierarchical control protocol that dynamically elects primary server at various granularities. Experimental evaluation indicates substantial performance advantage over single system. With introduction control, overhead is negligible even when applications mostly write and servers are widely distributed.
With the rapid development of communication technology and diversification growth network application demands, requirements for anti-destruction capability information networks have also increased. Therefore, an efficient accurate metric survivability satellite has become a hotspot current research. Firstly, in this paper, we propose transfer matrix-based spatial invulnerability evaluation algorithm. The algorithm draws idea node deletion method to determine initial importance nodes then...
Replication is a key technique for improving fault tolerance but can introduce considerable performance overhead under some circumstances. To explore the tradeoff between and failure resilience, we develop calculus that takes into consideration I/O characteristics of applications behavior distributed storage nodes. With developed evaluation model, then prescribe file system replication strategy maximizes utilization computational resources long-running compute-intensive grid applications.