Towards Cost-effective On-demand continuous Media Service: A Peer-to- Peer Approach

To overcome the limited bandwidth of streaming servers, Content Distribution Networks (CDNs) are deployed on the edge of the Internet. A large number of such servers have to be installed to make the whole system scalable, making CDN a very expensive way to distribute media. The primary concern of this research is to find an inexpensive way to alleviate the traffic load for media streaming on the servers in a continuous media service infrastructure. Our approach to solve the above problem is motivated by the emerging concept of peer-to-peer computing. Specifically, we let clients that obtained a media object act as streaming servers for following requests to that media object. Unlike the server/client scheme, peers are heterogeneous in the storage capacity and out-bound bandwidth they can contribute. Secondly, peers are heterogeneous in the duration of their commitment to the community. In our research, we identified the following problems in the context of peer-to-peer streaming: 1) How does the come-and-go behaviors of peers affect the system performance? 2). How do we manage the limited resources contributed by each peer? 3). The design of a peer-to-peer streaming protocol that handles peer failure. Solutions to these problems are described and analyzed. 1

Exploring the development of localization of county image construction in Anhui Province under the perspective of media fusion

The research is financed by Social Science Project of Anhui Provincial Education Department - Key Project- SK2021A0015. Abstract With the unprecedented attention paid to the construction of county-level integrated media centres, the importance of building and disseminating the image of counties has been overlooked. This paper focuses on the practice of county-level integrated media centres in Anhui Province, and explores the development of localised county image construction in the context of media fusion, so as to help county-level integrated media centres effectively integrate into the ecological cycle of county development and further improve the communication and marketing of county images. Keywords: county image building, county integrated media centre, media image DOI: 10.7176/NMMC/104-09 Publication date: June 30th 2023

Alterations of coronary perfusion pressure and cardiac contraction during lipopolysaccharide challenge

In the present study, we used the Langendorff technique to evaluate the involvement of endothelin-1 (ET-I) and nitric oxide (NO) in coronary vasoconstriction and myocardial depression in hearts isolated from lipopolysaccharide (LPS)-treated rats. Coronary perfusion pressure (CPP) increased markedly in hearts from LPS -treated rats. Pretreatment with BQ-123, an ET-1 type A receptor antagonist, significantly reduced the increase in CPP induced by LPS. LPS induced a marked decrease in left ventricular developed pressure, the product of left ventricular developed pressure and heart rate, as well as the maximal rate of rise/fall of left ventricular pressure. Pretreatment with BQ-123 partially reversed the LPS-induced cardiac depression. Administration of BQ-123 and AMG, an inhibitor of iNOS, prior to LPS challenge significantly blocked the negative inotropic effect. These results suggest that ET-1 augments the NO-mediated cardiac contractile depression induced by LPS and the accompanying increase in coronary resistance.published_or_final_versio

Experiments and transient simulation on spring-loaded pressure relief valve under high temperature and high pressure steam conditions

Reliable performances of high temperature and high pressure operating steam pressure relief valves (HTHP PRVs) are extremely important for the safety of nuclear power plants. It is still a challenge to accurately describe the dynamic performance of HTHP PRVs. In this study, the accuracy of computational fluid dynamics (CFD) based modelling of the transient processes is examined. For one of the HTHP PRVs named DWPRV, the effects of different parameters on the dynamic performance were investigated by combining CFD simulation and experiments. In the simulation, the domain decomposition method (DDM) and the Grid Pre-deformation Method (GPM) were adopted to handle the moving disk geometry and the large mesh deformation. The effect of damping was also studied. It is confirmed that the use of CFD simulation can improve the design and settings of a HTHP PRV in a highly energetic service that is difficult to test due to safety reasons. For the DWPRV, it was found that the maximum flow rate occurs when the curtain area is 1.18 times the throat area. The degree of superheat ranging from 0 C to 100 C has a negligible effect on the performance of DWPRV regardless of the changes in the material mechanical properties with operating temperatures. The reseating pressure increases linearly with the rise in the distance between the upper adjusting ring and the sealing face. The lower adjusting ring exhibits a weak effect on the reseating pressure. For the ratios of rated lift to throat diameter equalling to 0.3 and 0.35, the DWPRV exhibits the higher blowdown for the ratio of 0.3

3-(4-Chloro­phen­yl)-1-(4-nitro­phen­yl)benzo[f]quinoline

In the title compound, C25H15ClN2O2, the pyridine ring is inclined at angles of 6.89 (7), 4.24 (9) and 66.98 (4)° with respect to the naphthalene, chloro­phenyl and nitro­phenyl rings, respectively. The two substituent aromatic rings make a dihedral angle of 71.1 (1)° with one another. C—H⋯π and π–π stacking are present in the crystal structure; the π–π stacking [centroid–centroid distance between the pyridyl rings of adjacent mol­ecules= 3.7838 (11) Å] links the mol­ecules into dimers, while the C—H⋯Cg type π–ring inter­actons link the mol­ecules into a chain structure along c

Vasorelaxant effect of total flavones from Dendranthema morifolium on rat thoracic aorta

To investigate the vasorelaxant effect of total flavones from Dendranthema morifolium (Ramat.) Tzvel. cv. Hangju (FDM), tension was recorded from rat thoracic aortic rings. FDM completely relaxed, in a dose-dependent manner, the contractions induced by either phenylephrine (PE) or a high concentration of KCl (60 mM) in rings with intact endothelium. Mechanical removal of the endothelium did not significantly modify the vasorelaxant effect of FDM. In endothelium-denuded aortic rings depolarized by 60 mM KCl, FDM inhibited Ca/sup 2+/-induced contraction. FDM also reduced the transient contraction elicited by PE in Ca/sup 2+/-free medium, but had no effect on active phorbol ester-induced contraction. Pretreatment of endothelium-denuded aorta with propranolol, a beta-adrenoceptor antagonist, significantly attenuated the relaxant effect of FDM. These results indicate that FDM induces an endothelium-independent relaxation in rat aortic rings. The mechanisms may include the activation of beta-adrenergic receptors, reduction in Ca/sup 2+/ influx through the voltage-dependent and receptor-operated channels, and inhibition of intracellular Ca release in vascular smooth muscle cells.published_or_final_versio

Physics-informed machine learning for solving partial differential equations in porous media

Physical phenomenon in nature is generally simulated by partial differential equations. Among different sorts of partial differential equations, the problem of two-phase flow in porous media has been paid intense attention. As a promising direction, physics-informed neural networks shed new light on the solution of partial differential equations. However, current physics-informed neural networks’ ability to learn partial differential equations relies on adding artificial diffusion or using prior knowledge to increase the number of training points along the shock trajectory, or adaptive activation functions. To address these issues, this study proposes a physics-informed neural network with long short-term memory and attention mechanism, an ingenious method to solve the Buckley-Leverett partial differential equations representing two-phase flow in porous media. The designed network structure overcomes the dependency on artificial diffusion terms and enhances the importance of shallow features. The experimental results show that the proposed method is in good agreement with analytical solutions. Accurate approximations are shown even when encountering shock points in saturated fields of porous media. Furthermore, experiments show our innovative method outperforms existing traditional physics-informed machine learning approaches.Cited as: Shan, L., Liu, C., Liu, Y., Tu, Y., Dong, L., Hei, X. Physics-informed machine learning for solving partial differential equations in porous media. Advances in Geo-Energy Research, 2023, 8(1): 37-44. https://doi.org/10.46690/ager.2023.04.0