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

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