109 research outputs found
Voltage Sag Mitigation and Load Reactive Power Compensation by UPQC
This paper presents Unified Power Quality Conditioner(UPQC) that consist of series inverter and shunt inverter in back to back configuration which simultaneously compensate the power quality(PQ) problems of both voltage sag and load reactive power compensation . In this paper ,Neural network is tool which is considered for solving power quality problems. The simulation results from MATLAB/SIMULINK are discussed to validate the proposed method
Improved Task Graph-based Parallel Data Processing for Dynamic Resource Allocation in Cloud
AbstractIn recent years large-set parallel data processing has gained quantum as one of the predominant applications of Infrastructure-as-a-Service (IaaS) clouds. Data processing frameworks like Google's MapReduce and its open source implementation Hadoop, Microsoft's Dryad and so on are currently in use for parallel data processing in cloud-based companies. But the problem with them is that they are designed for homogeneous environments like clusters and disregard the dynamic and heterogeneous nature of a cloud. As a result, allocation and de-allocation of compute nodes at runtime is ineffective thereby increasing processing time and cost. In this paper we present our approach towards parallel data processing exploiting dynamic resource allocation in IaaS clouds. Our architecture ensures parallel data processing using Directed Acyclic task graph. To reduce the latency and to improve throughput, load balancing is introduced in the architecture. Incoming jobs are divided into tasks that are assigned to different types of virtual machines that are dynamically instantiated and terminated during job execution
Symmetryâ Directed Selfâ Assembly of a Tetrahedral Protein Cage Mediated by de Novoâ Designed Coiled Coils
The organization of proteins into new hierarchical forms is an important challenge in synthetic biology. However, engineering new interactions between protein subunits is technically challenging and typically requires extensive redesign of proteinâ protein interfaces. We have developed a conceptually simple approach, based on symmetry principles, that uses short coiledâ coil domains to assemble proteins into higherâ order structures. Here, we demonstrate the assembly of a trimeric enzyme into a wellâ defined tetrahedral cage. This was achieved by genetically fusing a trimeric coiledâ coil domain to its C terminus through a flexible polyglycine linker sequence. The linker length and coiledâ coil strength were the only parameters that needed to be optimized to obtain a high yield of correctly assembled protein cages.Geometry lesson: A modular approach for assembling proteins into largeâ scale geometric structures was developed in which coiledâ coil domains acted as â twist tiesâ to facilitate assembly. The geometry of the cage was specified primarily by the rotational symmetries of the coiled coil and building block protein and was largely independent of protein structural details.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/138862/1/cbic201700406_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138862/2/cbic201700406.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/138862/3/cbic201700406-sup-0001-misc_information.pd
Attitude and awareness of Indian parents from Kerala state towards children’s vaccination at the COVID-19 pandemic background
Background. Vaccination coverage of children in India is not sufficient since the COVID-19 pandemic (less than 90 %). This may lead to low adherence of parents to children’s vaccination.The aim. To study parental attitudes and awareness towards children vaccination programs in India at the COVID-19 pandemic background.Methods. Two hundred and fourteen participants from Kerala state (India) took part in the descriptive cross-sectional study via survey method. The survey was prepared with Google form according the principles of anonymity.Results. Indian parents demonstrated good adherence towards children’s vaccination, 98.6 % (95% confidence interval (CI): 95.9–99.5) of them vaccinated their child, and if vaccination appointment had to be rescheduled 84.6 % (95% CI: 79.1–88.8) of them vaccinated children after. Most of Indians (68.7 %; 95% CI: 62.1–74.5) preferred to vaccinate children in state clinics, however, 28.5 % (95% CI: 22.8–34.8) chose private clinics. Information about diseases that vaccines can prevent, vaccine safety, and side effects 47.2 % (95% CI: 40.6–53.8) of parents got from public pediatricians, 50.9 % (95% CI: 44.2–57.5) – from private pediatricians, and 10.3 % (95% CI: 6.8–15.0) – from complementary and alternative medicine practitioners. Over 80 % of Indians were informed about vaccination through mass media (83.6%; 95% CI: 78.1–87.9). Indian parents showed low awareness about vaccination, because 63.1 % (95% CI: 56.4–69.2) of parents wanted to know more about vaccination. Moreover, before vaccination 21.5 % (95% CI: 16.5–27.4) of them were not informed by a doctor about health benefits and possible risks for their children.Conclusion. In the COVID-19 pandemic Indian parents showed good attitude towards vaccination and low awareness in vaccination questions
Implementation of Dynamical Nucleation Theory Effective Fragment Potentials Method for Modeling Aerosol Chemistry
In this work, the dynamical nucleation theory (DNT) model using the ab initio based effective fragment potential (EFP) is implemented for evaluating the evaporation rate constant and molecular properties of molecular clusters. Predicting the nucleation rates of aerosol particles in different chemical environments is a key step toward understanding the dynamics of complex aerosol chemistry. Therefore, molecular scale models of nanoclusters are required to understand the macroscopic nucleation process. On the basis of variational transition state theory, DNT provides an efficient approach to predict nucleation kinetics. While most DNT Monte Carlo simulations use analytic potentials to model critical sized clusters, or use ab initio potentials to model very small clusters, the DNTEFP Monte Carlo method presented here can treat up to critical sized clusters using the effective fragment potential (EFP), a rigorous nonempirical intermolecular model potential based on ab initio electronic structure theory calculations, improvable in a systematic manner. The DNTEFP method is applied to study the evaporation rates, energetics, and structure factors of multicomponent clusters containing water and isoprene. The most probable topology of the transition state characterizing the evaporation of one water molecule from a water hexamer at 243 K is predicted to be a conformer that contains six hydrogen bonds, with a topology that corresponds to two water molecules stacked on top of a quadrangular (H2O)4 cluster. For the water hexamer in the presence of isoprene, an increase in the cluster size and a 3-fold increase in the evaporation rate are predicted relative to the reaction in which one water molecule evaporates from a water hexamer cluster
Matrix-Bound PAI-1 Supports Cell Blebbing via RhoA/ROCK1 Signaling
The microenvironment of a tumor can influence both the morphology and the behavior of cancer cells which, in turn, can rapidly adapt to environmental changes. Increasing evidence points to the involvement of amoeboid cell migration and thus of cell blebbing in the metastatic process; however, the cues that promote amoeboid cell behavior in physiological and pathological conditions have not yet been clearly identified. Plasminogen Activator Inhibitor type-1 (PAI-1) is found in high amount in the microenvironment of aggressive tumors and is considered as an independent marker of bad prognosis. Here we show by immunoblotting, activity assay and immunofluorescence that, in SW620 human colorectal cancer cells, matrix-associated PAI-1 plays a role in the cell behavior needed for amoeboid migration by maintaining cell blebbing, localizing PDK1 and ROCK1 at the cell membrane and maintaining the RhoA/ROCK1/MLC-P pathway activation. The results obtained by modeling PAI-1 deposition around tumors indicate that matrix-bound PAI-1 is heterogeneously distributed at the tumor periphery and that, at certain spots, the elevated concentrations of matrix-bound PAI-1 needed for cancer cells to undergo the mesenchymal-amoeboid transition can be observed. Matrix-bound PAI-1, as a matricellular protein, could thus represent one of the physiopathological requirements to support metastatic formation
Closing the loops on Southern Ocean dynamics: From the circumpolar current to ice shelves and from bottom mixing to surface waves
A holistic review is given of the Southern Ocean dynamic system, in the context of the crucial role it plays in the global climate and the profound changes it is experiencing. The review focuses on connections between different components of the Southern Ocean dynamic system, drawing together contemporary perspectives from different research communities, with the objective of closing loops in our understanding of the complex network of feedbacks in the overall system. The review is targeted at researchers in Southern Ocean physical science with the ambition of broadening their knowledge beyond their specific field, and aims at facilitating better-informed interdisciplinary collaborations. For the purposes of this review, the Southern Ocean dynamic system is divided into four main components: large-scale circulation; cryosphere; turbulence; and gravity waves. Overviews are given of the key dynamical phenomena for each component, before describing the linkages between the components. The reviews are complemented by an overview of observed Southern Ocean trends and future climate projections. Priority research areas are identified to close remaining loops in our understanding of the Southern Ocean system
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