179 research outputs found

    CLUSTERING OF NETWORK DEVICES TO FORM A VIRTUAL NETWORK SERVICE CONTROL PLANE

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    Enterprise networks often consist of multiple sites that often operate in a hierarchical manner for routing traffic among the sites, as well as to/from external networks. With the deployment of enterprise or hybrid cloud services within enterprise networks, such as cloud productivity services, communication services, etc. many policies, security, and/or performance requirements have to be met that often depend on the knowledge of sources and destinations, including their user/group information, security information, credentials, etc. However, it is often difficult to aggregate such information to scale in an end-to-end manner, similar to routing prefixes, as it can be difficult to store such information within the hardware resources of a network. In order to address such issues, techniques are presented herein through which a clustering capability can be enabled for existing and/or newly deployed physical and/or virtual networking devices in order to form a virtual network service control plane that can facilitate scaling for the deployment of hybrid cloud services. As described in further detail herein, networking protocols can be utilized to provide intent and guidance regarding the replication capability of databases in distributed operating system infrastructure within a set of networking devices such that the cluster forms the virtual network service control plane

    A Monte Carlo Study of Rainfall Sampling Effect on a Distributed Catchment Model

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    A Monte Carlo study of a physically based distributed-parameter hydrologic model is described. The catchment model simulates overland flow and streamflow, and it is based on the kinematic wave concept. Soil Conservation Service curves are used to model rainfall excess within the basin. The model was applied to the Ralston Creek watershed, a small (7.5 km2) rural catchment in eastern Iowa. Sensitivity of the model response with respect to rainfall-input spatial and temporal sampling density was investigated. The input data were generated by a space-time stochastic model of rainfall. The generated rainfall fields were sampled by the varied-density synthetic rain gauge networks. The basin response, based on 5-min increment input data from a network of high density with about 1 gauge per 0.1 km2, was assumed to be the “ground truth,” and other results were compared against it. Included in the study was also a simple lumped parameter model based on the unit hydrograph concept. Results were interpreted in terms of hydrograph characteristics such as peak magnitude, time-to-peak, and total runoff volume. The results indicate higher sensitivity of basin response with respect to the temporal resolution than to the spatial resolution of the rainfall data. Also, the frequency analysis of the flood peaks shows severe underestimation by the lumped model. This may have implications for the design of hydraulic structures

    Mucin 13 expression correlates with tumor development in hepatocellular carcinoma

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    Background: Hepatocellular carcinoma (HCC) has a poor prognosis due to ineffective therapeutic modality and lack of early diagnostic marker. Accumulating studies have shown that elevated expression of mucin 13 as potential oncogene and predictive biomarker for various cancer. However, very little is known about its expression and function for development and progression of HCC Objective: To investigate mucin 13 expression in chemically induced hepatocellular carcinoma model. Methodology: Diethyl nitrosamine (DEN) and 2-Acetylaminofluorene (2-AAF) induced method was employed for the development of hepatocellular carcinoma in Male Wistar rats. Serum and tissues were collected at regular interval of time and routinely validated for liver cancer stages. Immunohistochemistry and in situ hybridization were performed on formalin-fixed, paraffin-embedded tissues. Molecular docking studies were performed to study the interaction of mucin 13 and DEN. Results: Our results demonstrate hepatocellular adenoma as observed by histopathological analysis. Biochemical analysis showed a progressive increase in the levels of serum ALT, AST and ALP, suggesting the development and progression of hepatocellular damage. Notably, mucin 13 expression gradually elevated during consecutive stages of hepatocellular carcinoma. Interestingly, an increase in nuclear localization of mucin 13 was observed in treated group as compared to control group. In situ hybridization analysis showed that a decrease in miR-132 and miR-145, which are inversely related with mucin 13 expression. Moreover, DEN efficiently binds mucin 13 with high affinity and thus stabilize it as demonstrated by molecular docking analysis. Conclusion: These results suggest that mucin 13 expression is closely associated with hepatocarcinogenesis and could serve as a predictive candidate biomarker for HCC

    Mucin 13 expression is an early indicator of hepatocellular carcinoma development

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    Background: Hepatocellular carcinoma (HCC) has a poor prognosis due to ineffective therapeutic modality and lack of an early marker for diagnosis. Studies show that increased mucin 13 (MUC13) expression as a possible oncogene and predictive biomarker for various cancers has been shown. But its expression and role in the development of HCC is very little known. Objective: The aim of this study is to investigate the MUC13 expression in chemically induced hepatocellular carcinoma model. Methodology: Male Wistar rats were subjected to a DEN and 2-Acetylaminofluorene (2-AAF) induced method for the development of hepatocellular carcinoma. Serum and tissues were collected at regular intervals and routinely validated for various stages of liver cancer. On formalin-fixed, paraffin-embedded tissues, immunohistochemistry and in situ hybridization were performed. The molecular interaction of mucin 13 and DEN were also performed using in silico analysis. Results: Histopathological analysis of liver tissues revealed the development of hepatocellular carcinoma with successive stages in chemically induced model HCC. Moreover, biochemical analysis showed a progressive increase in serum ALT, AST, and ALP levels, indicating the development and progression of hepatocellular damage. Notably, mucin 13 expression gradually increased during the progression of hepatocellular carcinoma. The treated group showed an increase in nuclear localization of mucin 13 as compared to the control group. In situ hybridization analysis revealed a reduction in miR-132 and miR145, both of which are inversely related to mucin 13 expression. Furthermore, molecular docking analysis showed that DEN efficiently binds mucin 13 with high affinity and thus stabilizes it. Conclusion: These findings suggest that mucin 13 expression is linked to hepatocarcinogenesis and could be used as a candidate biomarker for HCC

    Synthesis of novel tetraoxygenated homoisoflavanones

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    Nanotechnology Synergised Immunoengineering for Cancer

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    Novel strategies modulating the immune system yielded enhanced anticancer responses and improved cancer survival. Nevertheless, the success rate of immunotherapy in cancer treatment has been below expectation(s) due to unpredictable efficacy and off-target effects from systemic dosing of immunotherapeutic. As a result, there is an unmet clinical need for improving conventional immunotherapy. Nanotechnology offers several new strategies, multimodality, and multiplex biological targeting advantage to overcome many of these challenges. These efforts enable programming the pharmacodynamics, pharmacokinetics, delivery of immunomodulatory agents/co-delivery of compounds to prime at the tumor sites for improved therapeutic benefits. This review provides an overview of the design and clinical principles of biomaterials driven nanotechnology and their potential use in personalized nanomedicines, vaccines, localized tumor modulation, and delivery strategies for cancer immunotherapy. In this review, we also summarize the latest highlights and recent advances in combinatorial therapies avail in the treatment of cold and complicated tumors. It also presents key steps and parameters implemented for clinical success. Finally, we analyse, discuss, and provide clinical perspectives on the integrated opportunities of nanotechnology and immunology to achieve synergistic and durable responses in cancer treatment
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