81 research outputs found
Supplemental materials for preprint: Influence of AI and Machine Learning in Insurance Sector
No full textA Security Framework for Routing Protocols
No full textWith the rise in internet traffic surveillance and monitoring activities, the routing infrastructure has become an obvious target of attack as compromised routers can be used to stage large scale attacks. Routing protocols are also subjected to various threats such as capture and replay of packets that disclose the network information, forged routing control messages that may compromise a connection by deception, disruption of an on-going connection causing DoS attacks and spreading of unauthentic routing information in the network. Presently, strong cryptographic suites and key management mechanisms (IPsec and IKE) are available to secure host-to-host data communication but none of them focus on securing routing protocols. Today's routing protocols use a shared secret to perform mutual authentication and authorization, and depend on manual keying methods. For message integrity, they either rely on some built-in or external security feature that uses the same shared secret.
The KARP working group of the IETF identified that the work is required to tighten the security of the routing protocols and demonstrated that automated key management solutions are needed for increasing security. Towards this goal we propose the RPsec framework. RPsec provides a common baseline for development of KMPs for the routing protocols, supports both automated and manual key management, and overcomes the weakness of existing manual key methods
Supplemental materials for preprint: Influence of AI and Machine Learning in Insurance Sector
No full textInfluence of AI and Machine Learning in Insurance Sector
No full textThe Aim of this research is to identify influence, usage, and the benefits of AI (Artificial Intelligence) and ML (Machine learning) using big data analytics in Insurance sector. Insurance sector is the most volatile industry since multiple natural influences like Brexit, pandemic, covid 19, Climate changes, Volcano interruptions. This research paper will be used to explore potential scope and use cases for AI, ML and Big data processing in Insurance sector for Automate claim processing, fraud prevention, predictive analytics, and trend analysis towards possible cause for business losses or benefits. Empirical quantitative research method is used to verify the model with the sample of UK insurance sector analysis. This research will conclude some practical insights for Insurance companies using AI, ML, Big data processing and Cloud computing for the better client satisfaction, predictive analysis, and trending
Enhanced Oil Recovery using Carbonated Polymeric Nanofluids : A New Age Approach to CO2 Utilization and Corrosion Mitigation
No full textThe author would like to thank the CIF facility and its staff, including Mr. Anuj Prajapati, Mr. Zahoor Alam, and Mr. Brijesh. Thanks are also extended to all the members associated with the work.Peer reviewe
Developing E. coli-E. coli co-cultures to overcome barriers of heterologous tryptamine biosynthesis
No full textTryptamine is an alkaloid compound with demonstrated bioactivities and is also a precursor molecule to many important hormones and neurotransmitters. The high efficiency biosynthesis of tryptamine from inexpensive and renewable carbon substrates is of great research and application significance. In the present study, a tryptamine biosynthesis pathway was established in a metabolically engineered E. coli-E. coli co-culture. The upstream and downstream strains of the co-culture were dedicated to tryptophan provision and conversion totryptamine, respectively. The constructed co-culture was cultivated using either glucose or glycerol as carbon source for de novo production of tryptamine.The manipulation of the co-culture strains’ inoculation ratio was adapted to balance the biosynthetic strengths of the pathway modules for bioproduction optimization. Moreover, a biosensor-assisted cell selection strategy was adapted to improve the pathway intermediate tryptophan provision by the upstream strain, which further enhanced the tryptamine biosynthesis. The resulting biosensor-assisted modular co-culture produced 194mg/L tryptamine with a yield of 0.02 g/g glucose using shake flask cultivation.The findings of this work demonstrate that the biosensor-assisted modular co-culture engineering offers a new perspective for conducting microbial biosynthesis.Peer reviewe
Design and Governance of Platforms to leverage an ecosystem of complementors
No full textThis paper analyzes how specific aspects of design and governance of platform explain complementors participation in the video game console industry. This study introduces a new dimension to measure platform openness and suggest that by opening the platform vertically to different markets, platform firms can smoothen complementors competition and incentivize them to participate in their network. This study makes a first attempt to measure platform boundary resources and highlight its positive influence on complementors participation. Finally, the analysis also explores conditions under which signing an exclusive contract is beneficial for complementors. Complementors tend to participate in exclusive contracts during the early stages of platform rather than mature stages due to intense competition among complementors in the latter stage. The results suggest that by following the correct design and governance strategies, platform firms can orchestrate a large network of complementors and proliferate a variety of complementary product offerings
Stability-indicating reversed-phase high-performance thin-layer chromatography/densitometry estimation of lafutidine in bulk and tablets
No full textLafutidine (LTD) is a histamine H2 receptor antagonist, with anti-ulcer and mucosal protective activity. A sensitive and selective stability-indicating reversed- phase high -performance thin-layer chromatography (RP-HPTLC)/Densitometry method is suggested for the determination of LTD in the presence of its acid, alkaline, oxidative and dry heat degradation products. Stress testing of LTD was done according to the International Conference on Harmonization (ICH) guidelines in order to validate the stability-indicating power of the analytical procedures. Stress testing demonstrated that LTD underwent acid, alkaline, oxidative and dry heat degradation; on the other hand, it showed stability towards neutral and photo degradation. Chromatography was performed on aluminum-backed silica gel 60 RP-18 F254 S plates with Methanol: Water: Triethylamine 8: 2: 0.5 (v/v) as mobile phase. Densitometric scanning was performed at 276 nm. The system gave compact bands for LTD (Rf 0.67 ± 0.02). Linear regression analysis data for the calibration plots discovered a good linear relationship with r2 > 0.99 in the working concentration range 500 to 3000 ng per band. The limits of detection and quantification were 23.51 ng and 71.26 ng, respectively. The developed method can routinely be used for analysis of LTD in bulk and pharmaceutical formulations
Economic burden of diabetes mellitus in western India: a hospital based study
No full textBackground: Descriptive cost of illness study can provide an overall picture of diabetes in monetary terms in developing country, which may serve as a vital source of information for health care organizations and planning bodies to plan and prioritize local health policies and schemes. The aim was to explore cost description of diabetes in a tertiary care hospital in Anand district of Gujarat, India.Methods: This was an observational study with one year follow up. Ethical approval was taken from IEC. Patients were recruited and were divided into three categories according to duration of diabetes; newly diagnosed cases as category I, diabetes since last 5 year as category II and since last 10 years as category III. All these patients were followed up with 4 visits. Cost was calculated into three components; direct medical, direct non-medical and indirect cost. Descriptive and regression analysis was done using SPSS version 17.0.Results: Total 90 patients were analyzed after 12 patients were lost to follow up, 30 in each category. Mean total cost was found to be 12391.84 INR. Contributions from direct medical cost, direct non-medical cost and indirect cost were 74%, 2% and 24% respectively. Maximum cost incurred was due to medicine cost (44.14%) followed by complication cost (43.34%).Conclusions: Heavy economic burden highlights the urgent need for the health care organizations to plan and prioritize policies and accordingly in prevention and management of diabetes and its complications
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