12 research outputs found
TECHNIQUES FOR DETERMINING THE LOCATION OF NETWORKING EQUIPMENT OPERATED IN MOBILE COMMUNICATION NETWORKS
Proposed herein is a novel technique to determine the location of networking equipment (e.g., routers, switches, etc.) used in mobile communication networks, such as cellular Fourth Generation (4G) and/or Fifth Generation (5G) communication networks. Once the location of a particular piece of networking equipment is known, this location can then be exported or collected by a central controller, which can utilize the location for various purposes, such as performing further validation of the location of the equipment to confirm that the equipment is being used at a location for which its use is allowed by the equipment manufacturer
TECHNIQUES TO INDICATE LATENCY OF PACKETS IN NETWORK NODES
Applications operating via network communications have long evolved from the use of basic data, as audio and video applications continue to evolve in terms of latency requirements and, as such, the number of differentiated flows (per application) continues to evolve as well. With applications evolving that are utilize low latency packet paths from network, it can be challenging to determine the latency of packets in a network that are associated with latency sensitive applications. This proposal provides techniques through which a new header can be embedded into packets in which the new header can be used to indicate the total-residence-time of a packet in various nodes in a network. The header can be embedded in each packet that is communicated from an origin to an end-node of a network and can indicate how much time the packet has spent in network. The header can be updated on every node by the value of the time the packet spent in each node in the network (i.e., residence time of the packet in a network node)
TECHNIQUES TO INDICATE LATENCY OF PACKETS IN NETWORK NODES
Applications operating via network communications have long evolved from the use of basic data, as audio and video applications continue to evolve in terms of latency requirements and, as such, the number of differentiated flows (per application) continues to evolve as well. With applications evolving that are utilize low latency packet paths from network, it can be challenging to determine the latency of packets in a network that are associated with latency sensitive applications. This proposal provides techniques through which a new header can be embedded into packets in which the new header can be used to indicate the total-residence-time of a packet in various nodes in a network. The header can be embedded in each packet that is communicated from an origin to an end-node of a network and can indicate how much time the packet has spent in network. The header can be updated on every node by the value of the time the packet spent in each node in the network (i.e., residence time of the packet in a network node)
SECURITY AND OTHER VULNERABILITY PREDICTION USING NOVEL DEEP REPRESENTATION OF SOURCE CODE WITH ACTIVE FEEDBACK LOOP
Since the cost of fixing vulnerabilities can be thirty times greater after an application has been deployed, it is recognized that properly-written code can yield potentially large savings. Accordingly, approaches presented herein apply machine learning and Artificial Intelligence (AI) techniques to improve developer experience by enabling developers to avoid introducing potential bugs and/or vulnerabilities while coding. Billions of lines of source code, which have already been written, are utilized as examples of how to write functional and secure code that is easy to read and to debug. By leveraging this wealth of available data, which is complemented with state-of-art machine learning models, enterprise-level software solutions can be developed that have a high standard of coding and are potentially bug-free
TECHNIQUES TO PROVIDE AUDIT SECURITY STEERING POLICY ENFORCEMENT
Dynamic and selective steering of traffic through a security device can create a certain level of interdependence between the security operations (SecOps) and network operations (NetOps) that traditionally operate as independent teams. For example, any deviation in the strict enforcement of the true traffic steering intent advised/authored by a SecOps team and configured by a NetOps teams on network devices can result in compliance issues and possibly security breaches. This submission proposes novel techniques that allow a SecOps team to independently audit and validate steering enforcement actions configured and managed by a NetOps team in order to ensure compliance with the original traffic steering intent/policies as provided by the SecOps team
Neuroprotective Effect of Withania Somnifera Root Extract In Type 2 Diabetes Mellitus Induced Cognitive Impairment And Neurodegeneration In Rats
The present study was conducted to assess the effects of Withania somnifera root extract (WS) on cognitive deficit and neurodegeneration induced by type 2 diabetes mellitus in rats. Type 2 diabetes mellitus (T2DM) was induced in rats by feeding them high fat diet (HFD) for 8 weeks followed by intraperitoneal administration of low dose Streptozotocin (STZ; 35 mg/kg). After four weeks of STZ administration the levels of metabolic parameters (fasting blood glucose, serum triglycerides and serum total cholesterol) were measured to confirm the development of diabetes. WS and Pioglitazone (PZ) were administered daily for 8 weeks to the diabetic rats. At the end of the treatment, behavioural analysis was done to observe the effects of diabetes on memory by Morris water maze (MWM) test. Thereafter, animals were sacrificed; blood and brain samples were collected for biochemical analysis. Metabolic parameters (fasting blood glucose, serum triglycerides and total cholesterol) were found to be significantly elevated in diabetic rats as compared to normal control animals; treatment with WS and PZ for 8 weeks significantly lowered these levels. In MWM test, mean escape latency time (ELT) on day 4 was found to be increased and time spent in the target quadrant (TSTQ) on day 5 was reduced significantly in DC rats as compared to NC. However, TSTQ increased significantly and mean ELT was found to be decreased in the rats treated with WS at the dose of 100 and 300 mg/kg for 8 weeks as compared to DC rats. The level of Aβ1-42, a main component of amyloid plaques, was found to be increased significantly in hippocampus and prefrontal cortex of DC rats as compared to NC and treatment with WS lowered the levels of Aβ1-42. Further, the level of brain-derived neurotrophic factor (BDNF) was found to be reduced significantly in diabetic rats whereas WS treated groups showed a significant increase in BDNF. The data suggests that treatment with standardized root extract of Withania somnifera normalized the elevated metabolic parameters in diabetic animals when compared with untreated diabetic animals and the results were comparable with pioglitazone. Also it was found that T2DM adversely affects memory and cause neurodegeneration. WS treatment showed neuroprotective effects and improved memory retention in diabetic animals. Thus root extract of Withania Somnifera may have neuroprotective effects for the management of T2DM induced cognitive deficit.
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Curcumin: an adjuvant therapeutic remedy for liver cancer
The molecular signalling pathways for hepatocellular carcinoma and hepatoblastoma have been extensively studied. The treatment of these highly vascular tumors mainly revolves around chemotherapy and surgery. Yet there is a high associated morbidity and mortality due to advanced stages, adverse effects owing to chemotherapy and recurrence. The role of Curcumin as an adjuvant remedy is explored in this article. Curcumin stimulates apoptosis of cancer cells, acts as anti-proliferative agent, has anti-angiogenic action, prevents tumor invasiveness and metastasis and prevents recurrence. It also has been proven to decrease the adverse effects of chemotherapeutic agents and has a synergistic anticancer action. It acts at the molecular level and affects the various metabolic pathways involved in tumorigenesis. It also promotes healing and has anti-inflammatory, anti-oxidant and anti-infective action. This natural phytocompounds has immense anti-cancer potential and holds future promise as an adjuvant remedy to treat liver cancer
