172 research outputs found
IkamvaYouth
IkamvaYouth is a non-profit organization in South Africa that would benefit from a streamlined system that expedites registration and optimizes communication for volunteers and learners. IkamvaYouth currently has multiple mediums for registering users, which is hard to track and manage. Our solution is to make a product for volunteers and learners. The learners will be able to identify the nearest branch. The volunteers will be able to identify the nearest branch and register for a position at that branch. The primary considerations for an application in South Africa is that it is practical and usable. The solution provide is based on web technologies to deal with the devices in South Africa, particularly focusing on data usage. The final step of the project entails the deployment of the application by Global Social Benefit Fellowship students who will be implementing the application in South Africa with the organization
Reflection Spectrum of Two Level Atoms by an Evanescent Laser Wave
An exact solution and numerical calculation of the reflection of two level atoms by atomic mirror are presented. The curve of reflection coefficient against Rabi frequency calculated shows some new features, and the physical machanism underlying is analyzed
ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation
Vision-language pre-training (VLP) methods are blossoming recently, and its
crucial goal is to jointly learn visual and textual features via a
transformer-based architecture, demonstrating promising improvements on a
variety of vision-language tasks. Prior arts usually focus on how to align
visual and textual features, but strategies for improving the robustness of
model and speeding up model convergence are left insufficiently explored.
In this paper, we propose a novel method ViLTA, comprising of two components
to further facilitate the model to learn fine-grained representations among
image-text pairs. For Masked Language Modeling (MLM), we propose a
cross-distillation method to generate soft labels to enhance the robustness of
model, which alleviates the problem of treating synonyms of masked words as
negative samples in one-hot labels. For Image-Text Matching (ITM), we leverage
the current language encoder to synthesize hard negatives based on the context
of language input, encouraging the model to learn high-quality representations
by increasing the difficulty of the ITM task. By leveraging the above
techniques, our ViLTA can achieve better performance on various vision-language
tasks. Extensive experiments on benchmark datasets demonstrate that the
effectiveness of ViLTA and its promising potential for vision-language
pre-training.Comment: 15 pages, 5 figure
Switching between oscillations and homeostasis in competing negative and positive feedback motifs
We analyze a class of network motifs in which a short, two-node positive
feed- back motif is inserted in a three-node negative feedback loop. We
demonstrate that such networks can undergo a bifurcation to a state where a
stable fixed point and a stable limit cycle coexist. At the bifurcation point
the period of the oscillations diverges. Further, intrinsic noise can make the
system switch between oscillatory state and the stationary state spontaneously.
We find that this switching also occurs in previous models of circadian clocks
that use this combination of positive and negative feedback. Our results
suggest that real- life circadian systems may need specific regulation to
prevent or minimize such switching events.Comment: 8 figure
Characterization of the Spindle Morphology Nanomicelles Assembled from Sericin and Gelatin
Complex nanomicelles were prepared by sericin and type A gelatin with molecular weight of 5789 Da and 128664 Da separately. The assembling conditions were as follows: mass ratio (sericin/gelatin) was 1 : 1, protein concentration was 0.5%, temperature was 35°C, and assembling time was 18 hours. Scanning electron microscopy (SEM), atomic force microscopy (AFM), transmission electron microscopy (TEM), Fourier transform infrared (FT-IR) spectroscopy, differential scanning calorimetry (DSC), and dynamic light scattering (DLS) were conducted to observe and characterize the complex nanomicelles. Results showed that the complex sericin/gelatin micelles was a kind of nanospindle micelles. The micelles had high electrochemical stability, thermal stability, antidilution stability, and storage stability
Research on Construction Mode of Large-Scale Offshore Wind Power Centralized Transmission
[Introduction] Offshore wind power has become a research hotspot in the development of global wind power. China's offshore wind power is still in its infancy, the current operation mode is not conducive to the large-scale centralized transmission of offshore wind power and cannot adapt to the long-term development under the new situation. Moreover, the subsidy policies of European countries for offshore wind power conflict with China's development ideas, so they cannot be used for reference, and there are still some disadvantages in the European modes. Therefore, it is necessary to explore a new mode suitable for the development of offshore wind power in China's offshore deep-water areas. [Method] Firstly, the development status of offshore wind power in European countries was analyzed and the current transmission modes of offshore wind power were summarized. Secondly, four application scenarios of offshore wind power transmission technology were given. Finally, the feasibility of offshore wind power business model was analyzed. [Result] The results show that the connection to grid at an equal price is expected to be achieved in Guangdong during the 14th Five-Year Plan period after the separation of offshore wind power generation and transmission side links. The centralized development of offshore wind power in deep-water areas is more feasible for economy and environmental intensive utilization compared with the decentralized development. [Conclusion] The research conclusion can provide technical support for the scheme design and construction mode of the follow-up large-scale offshore wind power centralized transmission project and has a good demonstration application prospect
An investigation on the effects of increasing maximum wind speed of tropical cyclones on the return periods of water levels in the sea area of the Yangtze River Delta
This paper investigates the impact of increasing maximum wind speed of tropical cyclones on the return periods of water levels in the sea area of the Yangtze River Delta. To conduct this study, a series of numerical experiments are performed using historical tropical cyclones that impacted the Yangtze River Delta from 1949 to 2019. The aim is to analyze the effects of global climate change on extreme water levels and the corresponding return periods. To obtain the historical water levels in the sea areas of the Yangtze River Delta, a storm surge model is driven by the selected tropical cyclones. The simulated astronomical tidal levels during the same period are also used. The extreme water levels of different return periods are then calculated. The maximum wind speeds of the selected tropical cyclones are increased by 11% according to the expected amount of increase under global climate change. The extreme water levels of different return periods under this scenario are calculated with the same procedure. The results of the study show that the impact of increasing maximum wind speed of tropical cyclones on the increases of extreme water levels and the decrease of return periods is more significant in the inner area of the estuaries than in the outer areas. Moreover, the responses of the extreme water levels and the corresponding return periods in the Yangtze River Estuary and the Hangzhou Bay show different characteristics. The results of this study provide significant reference value for the management of future coastal disaster prevention and mitigation in the Yangtze River Delta. Furthermore, the methodology used in this study can be applied in other estuaries to investigate the potential impacts of changes in climate and hydrology factors on extreme water levels and the corresponding return periods
Qingchang Wenzhong Decoction Attenuates DSS-Induced Colitis in Rats by Reducing Inflammation and Improving Intestinal Barrier Function via Upregulating the MSP/RON Signalling Pathway
Ulcerative colitis (UC) is a chronic, nonspecific, inflammatory disease for which an effective treatment is lacking. Our previous study found that Qingchang Wenzhong Decoction (QCWZD) can significantly improve the clinical symptoms of UC and ameliorate dextran sulphate sodium- (DSS-) induced ulcerative colitis in rats by downregulating the IP10/CXCR3 axis–mediated inflammatory response. The purpose of the present study was to further explore the mechanism of QCWZD for UC in rats models, which were established by 7-day administration of 4.5% dextran sulphate sodium solution. QCWZD was administered daily for 7 days; then we determined the serum macrophage-stimulating protein concentration (MSP) and recepteur d’origine nantais (RON) expression and its downstream proteins (protein kinase B [Akt], phosphorylated [p] Akt, occludin, zona occluden- [ZO-] 1, and claudin-2) in colon tissue using Western blotting and quantitative polymerase chain reaction. In DSS-induced UC, QCWZD significantly alleviated colitis-associated inflammation, upregulated serum MSP expression and RON expression in the colon, reduced the pAkt levels, promoted colonic occluding and ZO-1 expression, and depressed claudin-2 expression. In conclusion, the MSP/RON signalling pathway plays an important role in the pathogenesis of UC by involving the inflammatory response and improving intestinal barrier function. QCWZD appears to attenuate DSS-induced UC in rats by upregulating the MSP/RON signalling pathway
A bibliometric and knowledge-map analysis of the glymphatic system from 2012 to 2022
ObjectiveTo explore the development context, research hotspots and frontiers in the glymphatic system (GS) field from 2012 to 2022 by bibliometric analysis.MethodsThe Web of Science Core Collection (WoSCC) database was searched for articles published between 2012 and 2022. Microsoft Excel was used to manage the data. VOSviewer, CiteSpace, GraphPad Prism, the Web of Science, and an online analysis platform for bibliometrics (http://bibliometric.com/) were used to analyze the countries, institutions, journals, and collaboration networks among authors and the types of articles, developmental directions, references, and top keywords of published articles.ResultsA total of 412 articles were retrieved, including 39 countries/regions, 223 research institutes and 171 academic journals. The subject classifications related to the GS were Neuroscience, Clinical Neuroscience and Radiology/Nuclear Medicine/Medical Imaging. The United States has maintained its dominant and most influential position in GS research. Among research institutions and journals, the Univ Rochester and Journal of Cerebral Blood Flow and Metabolism had the highest number of academic articles, respectively. Nedergaard M had the most published article, and Iliff JJ had the most co-citations. The top two keywords with the highest frequency were “glymphatic system” and “cerebrospinal fluid.”ConclusionThis research provides valuable information for the study of the GS. The bibliometric analysis of this area will encourage potential collaborations among researchers, defining its frontiers and directions for development
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