A5100622703- Generative Adversarial Networks and Image Synthesis
- Semantic Web and Ontologies
- Syntax, Semantics, Linguistic Variation
- Language and cultural evolution
- Image Processing Techniques and Applications
- Digital Media Forensic Detection
- Advanced Vision and Imaging
- Energy, Environment, Economic Growth
- Metallurgy and Material Forming
- Advanced Optical Sensing Technologies
- Dental Radiography and Imaging
- Global Educational Reforms and Inequalities
- Advanced Image and Video Retrieval Techniques
- 3D Printing in Biomedical Research
- Thermodynamic properties of mixtures
- NMR spectroscopy and applications
- Optical Systems and Laser Technology
- Advanced SAR Imaging Techniques
- Mechanical stress and fatigue analysis
- Mental Health and Patient Involvement
- Biomedical Text Mining and Ontologies
- Service-Oriented Architecture and Web Services
- Network Traffic and Congestion Control
- Family Support in Illness
- Regulation of Appetite and Obesity
Western University
2025
Guangdong Ocean University
2025
Heilbronn University
2024
Technical University of Munich
2024
Duke University
2023
Boston University
2023
South China Normal University
2023
China University of Mining and Technology
2022
Zhejiang University of Technology
2022
China Datang Corporation (China)
2022
Abstract While mesenchymal stem cells (MSCs) have gained enormous attention due to their unique properties of self-renewal, colony formation, and differentiation potential, the MSC secretome has become attractive its roles in immunomodulation, anti-inflammatory activity, angiogenesis, anti-apoptosis. However, precise stimulation efficient production for therapeutic applications are challenging problems solve. Here, we report on Acoustofluidic Interfaces Mechanobiological Secretome MSCs:...
With the spread of distributed renewable energy, residents are shifting from being mere consumers to energy producers and consumers. This role shift poses challenges electricity trading mechanism that connects sources grid. In this paper, a new efficient secure blockchain-based community is proposed, called CE-SDT. Our system proved be stable scalable. It can also help loads power peaks reduce customer costs by 60%. As result, our proposed mechanism, as compared centralized applied...
Our phenomenal experience of the world is shaped by lived moments present, which not only sediment into fabric our current reality but also actively contribute to shaping it. We continually engage in generative and rich making life through this ongoing, dynamic interaction with world. From perspective, body-mind differences resulting from brain injury could be seen as a profound transformation one's The lessons I have drawn my caregiving sister who has critical injuries highlight need move...
The shift in the intertropical convergence zone (ITCZ) and poleward expansion of Hadley circulation termini have attracted many investigations, since they affect hydrological cycle hence societies ecosystems tropical subtropical areas. Using observed precipitation three atmospheric reanalysis data sets, different methods been employed to quantify changes ITCZ position, width, terminus center intensity both hemispheres over global seven longitudinal sections. It is found that position from...
Journal Article Language Origin from an Emergentist Perspective Get access Jinyun Ke, Ke University of Michigan, USA Search for other works by this author on: Oxford Academic Google Scholar John H. Holland Applied Linguistics, Volume 27, Issue 4, December 2006, Pages 691–716, https://doi.org/10.1093/applin/aml033 Published: 01 2006 history Accepted: June
Background Leptin, through binding to its special receptor (Ob‐Rb), has potent effects on immunity and inflammation. This study measured the levels of leptin in synovial fluid patients with temporomandibular joint osteoarthritis ( TMJ ‐ OA ) healthy controls, determined expression Ob‐Rb explored signalling pathways involved leptin‐induced proinflammatory cytokine interleukin IL )‐6 production fibroblasts SF s). Methods Synovial samples were obtained from 16 seven controls. Leptin using...
Introduction This paper examined the impact of public long-term care insurance (LTCI) pilots in China on multidimensional poverty status middle-aged and older adults. Methods Using panel data from Health Retirement Longitudinal Survey, we utilized LTCI conducted different cities 2012 to 2018 assessed using a difference-in-differences strategy. Results We found that implementation reduces adults their likelihood future poverty. coverage was also associated with reduction need fall into income...
As the usage of knowledge graphs (KGs) becomes more pervasive in practical applications, there is a burgeoning need for high-quality data. The SHApes Constraint Language (SHACL) allows expressing certain types quality constraints that define sub-structures and correct values KGs modelled with RDF. Nevertheless, performing SHACL validation without entailment often yields onesided outcomes, as it falls short validating crucial implicit data encoded KG ontology. Current solutions incorporate...
A universal cubic equation of state (UC EOS) is proposed based on a modification the virial Percus-Yevick (PY) integral EOS for hard-sphere fluid. The UC extended to multi-component mixtures Lebowitz solution PY mixtures. And expressions radial distribution functions at contact (RDFC) are improved with form as simple original one. numerical results compressibility factor and RDFC in good agreement simulation results. average errors relative MC data 3.40%, 1.84% 0.92% CP3P, BMCSL equations...
In existing generative adversarial networks (standard GAN and its variants), the discriminator is trained for recognizing real data as positive while generated negative. This kind of positive-negative classification criterion ignores fact that a non-objective evaluator, which means image quality evaluated by may fluctuate during whole training progress. Considering this fact, we propose novel framework called Discriminator-Quality Evaluation (DQE-GAN) using outputs to evaluate quality. By...
This paper provides a real-time plane segmentation method which can be used in navigation systems for the visually impaired to avoid indoor obstacles. The proposed is based on surface normal estimation range images. Efficiency and overall accuracy are considered as two main challenges algorithms use depth information. Our exploits integral images enhance efficiency of estimation. A dynamic determination smoothing region our improve accuracy. Compared methods Point Cloud Library (PCL),...
Cortical bone can be clearly displayed by CT-like MRI using ultrashort TE sequence. This study aimed to investigate the value of PETRA (ct-PETRA) sequence in pediatric musculoskeletal diseases. Our results showed that ct-PETRA had no significant difference measuring C-E index and acetabulum children's hip joint compared with X-ray, visualization lesions X-ray CT. Moreover, has more advantages than displaying trabecular fracture fine bone. used as conventional complementary for some assessments
This paper proposes a multi-sensor fusion system, named ONavi, that fuses WiFi and IMU to provide an accurate positioning service on smartphones in indoor environments. In this hybrid CNN-Transformer-based neural network is proposed for our Pedestrian Dead Reckoning(PDR), which outperforms existing state-of-the-art methods. Additionally, data-driven module, instead of pure RSSI based feature, "Fusion BSSID-RSSI" feature proposed, significantly improves accuracy. Eventually, we use loosely...
Scale Invariant Feature Transform (SIFT) has drawn attention in the field of computer vision, recently. SIFT been adopted many visual localization and mapping applications, for its robustness to scale, rotation illumination changes. However, high computational cost limits use practical scenarios. In this paper, we present a real-time FPGA-based hardware accelerator SIFT. The design is composed two main parts: key-point detection component feature generation component. applies an...
An unprecedented pandemic of Covid-19 hit the world and impacted stock price game industry in China overseas. How largely is impacted, prediction future trends being studied this paper. To have a better understanding data to make sure predictions are accurate, article employs VAR ARMA-GARCH models. It found that relationship between beginning stage highly positively related overseas markets, but then turns be negative. In long run, impact on turned negligible, became stable. also investors...
Due to the random nested features of LFB (logical functional block) resources, system performance may be seriously affected when resources deeply. In order satisfy requirement improving ForCES (forwarding and control element separation) router performances, we present an extensible programmable model management. Firstly, analyze key technologies, including storage designing addressing with tree structure named tree. Secondly, two methods different algorithm are used for keyword search in our...