ANTIOXIDANT AND FREE RADICAL SCAVENGING CAPACITY OF RED SEAWEED HYPNEA VALENTIAE FROM RAMESHWARAM COAST TAMIL NADU, INDIA

Objectives: In this study, In-vitro antioxidant and free radical scavenging activity of Hypnea valentiae was evaluated in a series of in vitro assays. Antioxidants are vital substances which possess the ability to protect the body from damage caused by free radical induced oxidative stress.Methods: The evaluation of antioxidant properties was determined by 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2'-azinobis 3ethylbenzthiazoline-6-sulphonic acid (ABTS), ferric reducing antioxidant power (FRAP), nitric oxide scavenging assay (NO), reducing power, superoxide, hydroxyl radical scavenging and hydrogen peroxide radical assay, the metal chelating activity as well as phosphomolypdenum assay.Results: Among the tested red algae, the maximum antioxidant activity was recorded in the methanol extract of Hypnea valentiae. Whereas methanol crude extract of red algae and diatom showed good antioxidant potential.Conclusions: The findings of the present study suggest that all seaweed extracts could be a potential source of natural antioxidant that could have great importance as therapeutic agents.Â

Prevalence of Overweight and Obesity among Private and Government School Children

This paper presents a detailed study on overweight and obesity. The main aim of the paper is to find out the prevalence of overweight and obesity among private and government school children. Obesity is a chronic disease, prevalent in both developed and developing countries. Childhood obesity is associated with several risk factors for later heart disease and other chronic diseases including dyslipidemia, hyperinsulinemia and hypertension. The ideal definition based on percentage body fat is impracticable for epidemiological use.  The contributing factors have been charted out and comparison of the prevalence of overweight and obesity among government and private school children has been done. Keywords: overweight, obesity, private, government, school children

In vitro anticancer activity of Sargassum sp. polysaccharides against MCF-7 cell lines

1267-1273Seaweed polysaccharides are compounds with promising chemopreventive and chemotherapeutic activities. In this study, polysaccharides isolated from Sargassum seaweeds were tested for their efficiency in cancer therapy. Polysaccharides were isolated, purified, and characterized using nuclear magnetic resonance (NMR); and Fourier transform infrared (FT-IR) spectroscopic and matrix-assisted laser desorption ionization mass spectrometric (MALDI-MS). It was found that the polysaccharides from Sargassum sp. branches are sulfated galactose–fucose disaccharides and sulfated galactose monosaccharides attached to the main chain through (1–4) linkages. Further, the polysaccharides were tested for cytotoxicity and anticancer activity against human breast adenocarcinoma cell line (MCF-7) using the Annexin-V/propidium iodide (PI) staining method

Security challenges of small cell as a service in virtualized mobile edge computing environments

Research on next-generation 5G wireless networks is currently attracting a lot of attention in both academia and industry. While 5G development and standardization activities are still at their early stage, it is widely acknowledged that 5G systems are going to extensively rely on dense small cell deployments, which would exploit infrastructure and network functions virtualization (NFV), and push the network intelligence towards network edges by embracing the concept of mobile edge computing (MEC). As security will be a fundamental enabling factor of small cell as a service (SCaaS) in 5G networks, we present the most prominent threats and vulnerabilities against a broad range of targets. As far as the related work is concerned, to the best of our knowledge, this paper is the first to investigate security challenges at the intersection of SCaaS, NFV, and MEC. It is also the first paper that proposes a set of criteria to facilitate a clear and effective taxonomy of security challenges of main elements of 5G networks. Our analysis can serve as a staring point towards the development of appropriate 5G security solutions. These will have crucial effect on legal and regulatory frameworks as well as on decisions of businesses, governments, and end-users

An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets

© 2019, Springer Nature Switzerland AG. This paper illustrates the utilise of various kind of machine learning approaches based on support vector machines for classifying Sickle Cell Disease data set. It has demonstrated that support vector machines generate an essential enhancement when applied for the pre-processing of clinical time-series data set. In this aspect, the objective of this study is to present discoveries for a number of classes of approaches for therapeutically associated problems in the purpose of acquiring high accuracy and performance. The primary case in this study includes classifying the dosage necessary for each patient individually. We applied a number of support vector machines to examine sickle cell data set based on the performance evaluation metrics. The result collected from a number of models have indicated that, support vector Classifier demonstrated inferior outcomes in comparison to Radial Basis Support Vector Classifier. For our Sickle cell data sets, it was found that the Parzen Kernel Support Vector Classifier produced the highest levels of performance and accuracy during training procedure accuracy 0.89733, AUC 0.94267. Where the testing set process, accuracy 0.81778, the area under the curve with 0.86556

Cavity and Cryomodule Developments for EIC

The EIC is a major new project under construction at BNL in partnership with JLab. It relies upon a number of new SRF cavities at 197 MHz, 394 MHz, 591 MHz and 1773 MHz to pre-bunch, accelerate, cool and crab the stored beams. R&D is focusing on the 591 MHz elliptical cavity and 197 MHz crab cavity first as these are the most challenging. Preliminary designs of these cavities are presented along with an R&D status report. To avoid developing multiple different cryostats a modular approach is adopted using a high degree of commonality of parts and systems. This approach may be easily adapted to other frequencies and applications

Sustainable procurement strategies for competitive advantage: An empirical study

Procurement plays a key role in sustainability as policies and practices need to extend beyond organisations' boundaries to incorporate their whole supply chains. There is, however, a paucity of empirical research on sustainable forms of procurement initiatives currently being implemented in the UK construction sector to improve competitiveness - which is the core driver of this paper. In order to achieve this aim, a mixed research methodological approach was adopted to collect and analyse data. The findings are based primarily on quantitative data obtained from 53 completed postal questionnaires and semi-structured interviews with 17 professionals from 12 UK construction organisations. As revealed by this study, sustainable procurement is becoming increasingly important in the UK construction sector. The paper concludes that the process of integrating sustainable procurement initiatives into existing business models is often a complex issue. Therefore, there is an urgent need to explore the drivers and impediments associated with the successful integration of sustainable procurement initiatives into existing construction business models. It is also suggested that there is a need for cross-sector collaboration to capture and share best and worst practices relating to sustainable procurement strategies

Introductory programming: a systematic literature review

As computing becomes a mainstream discipline embedded in the school curriculum and acts as an enabler for an increasing range of academic disciplines in higher education, the literature on introductory programming is growing. Although there have been several reviews that focus on specific aspects of introductory programming, there has been no broad overview of the literature exploring recent trends across the breadth of introductory programming. This paper is the report of an ITiCSE working group that conducted a systematic review in order to gain an overview of the introductory programming literature. Partitioning the literature into papers addressing the student, teaching, the curriculum, and assessment, we explore trends, highlight advances in knowledge over the past 15 years, and indicate possible directions for future research