Influenza A virus (IAV) is the most harmful to human beings among the various subtypes of influenza virus, which can lead to immune response, cause serious inflammation and damage to the lung, and has strong pathogenicity and transmission. Salmeterol is a candidate compound with anti-IAV activity screened by virtual network proximity predication. In this paper, we further evaluated the pharmacodynamics of salmeterol against IAV in vivo and in vitro. The results showed that salmeterol could inhibit the activity of three IAV strains (H1N1, H3N2 and H1N1 strain resistant to oseltamivir and amantadine) in the MDCK cells and protect primary HAE cells from cytopathic effect caused by IAV. In vivo, salmeterol could improve the survival state of infected mice, which showed good anti-IAV effect. Further mechanism studies shown that salmeterol could improve the pathological characteristics of the lungs, reduce the loads of virus and the expression of M2 and IFITM3 proteins in the lungs of mice. In addition, salmeterol could inhibit the formation of NLRP3 inflammasome, thus reducing the production of the TNF-α, IL-6 and MCP-1 and alleviating inflammatory symptoms. Finally, salmeterol could improve the spleen morphology, increase spleen index and significantly increase the ratio of lymphocyte CD4+/CD8+ to improve immune function of infected mice. In our study, it is confirmed that salmeterol has certain anti-IAV activity through pharmacodynamic study in vivo and in vitro, which lays an important research foundation for the new indication of salmeterol and discovery of new drug against IAV.
Increasing the size of embedding layers has shown to be effective in improving the performance of recommendation models, yet gradually causing their sizes to exceed terabytes in industrial recommender systems, and hence the increase of computing and storage costs. To save resources while maintaining model performances, we propose SHARK, the model compression practice we have summarized in the recommender system of industrial scenarios. SHARK consists of two main components. First, we use the novel first-order component of Taylor expansion as importance scores to prune the number of embedding tables (feature fields). Second, we introduce a new row-wise quantization method to apply different quantization strategies to each embedding. We conduct extensive experiments on both public and industrial datasets, demonstrating that each component of our proposed SHARK framework outperforms previous approaches. We conduct A/B tests in multiple models on Kuaishou, such as short video, e-commerce, and advertising recommendation models. The results of the online A/B test showed SHARK can effectively reduce the memory footprint of the embedded layer. For the short-video scenarios, the compressed model without any performance drop significantly saves 70% storage and thousands of machines, improves 30% queries per second (QPS), and has been deployed to serve hundreds of millions of users and process tens of billions of requests every day.
Most of the sound absorption methods in noise control used fibrous materials, which are prone to generate dust particles and other problems. Micro-perforated sound absorption structure can have good sound absorption performance without filling any sound absorption materials. It can effectively solve the problem of dust particles caused by fibrous soundabsorbing materials. Based on the micro-perforation theory, the sound absorption structure of double-layer composite metal plate is studied according to the acoustic and electrical analogy method, and the sound absorption performance of different size structures is calculated and simulated in MATLAB. The two structures with ideal simulation results are processed for sample preparation, and the performance test verification is completed in the reverberation room.
The remote sensing technology can accurate inverse the aerosol optical depth so as to demonstrate the haze distribution. Taking the moderate resolution imaging spectroradiometer (MODIS) remote sensor data as the data source, the aerosol optical depth of Shanghai area on December 6, 2013 is inversed from the use of second simulation of satellite signal in the solar spectrum (6S) and NASA V5.2 algorithm, and then the formation has already been analyzed from the three aspects of human activities, weather situation and foreign pollutants. The results show that the inversion aerosol optical depth from MODIS remote sensing image gradually decreased mainly from northwest to southeast, and the foreign pollutants plays the leading role in this haze pollution incidents in a certain weather condition. It can provide the references for haze pollution monitoring and early warning using remote sensor data.
This paper presents method and performance of the Helmholtz photoacoustic resonant cell and its remodified one which both were designed and tested respectively based on the measurement of the CO 2 contribution of the photoacoustic signal in experiments. The average optical power at the laser operating point was 800mW for the10.653um laser (CO 2 detection). On-line and real time measurement CO 2 /N 2 mixtures (CO 2 300ppm) were then performed. The Helmholtz photoacoustic resonant cell and its remodified one test of the carbodioxide conducted at their respective resonant frequency demonstrated signals about 43mV and 67mV, signal-to-noise (S/N) values about 47dB and 51dB respectively. According to test results, the remodified one also has a better quality factor. All this demonstrate the remodified Helmholtz cell can preferably improve excitation of acoustical signal.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)
'/%3e%3cuse xlink:href='%23a' transform='rotate(60)'/%3e%3ccircle r='17' fill='%23000095'/%3e%3ccircle r='15' fill='%23fff'/%3e%3c/svg%3e)
'%3e%3cpath fill='%23012169' d='M0 0v30h60V0z'/%3e%3cpath stroke='%23fff' stroke-width='6' d='m0 0 60 30m0-30L0 30'/%3e%3cpath stroke='%23C8102E' stroke-width='4' d='m0 0 60 30m0-30L0 30' clip-path='url(%23b)'/%3e%3cpath stroke='%23fff' stroke-width='10' d='M30 0v30M0 15h60'/%3e%3cpath stroke='%23C8102E' stroke-width='6' d='M30 0v30M0 15h60'/%3e%3c/g%3e%3c/svg%3e)