IoT: Green Data Center Strategies

With the rapid development of science and technology, the world is becoming ��smart��. Living in such a smart world, people will be automatically and collaboratively served by the smart devices (e.g., watches, mobile phones, computers), smart transportation (e.g., cars, buses, trains), smart environments (e.g., homes, offices, factories), etc. The volume of data that will travel around the world will increase enormously in the near future. Data center IP traffic will grow at a CAGR of 27% between 2015 and 2020 to 15.3 zettabytes(1021bytes) per annum according to Cisco�s 2015 Global Cloud Index, and there will also be as many as 25 billion devices connected to the IoT generating as much as 50 zettabytes of data. Thus, an autonomous vehicle can be seen as a data centre in its own right, although connected to a control data centre for some elements of its operation and programming. The energy use and environmental impact of data centers has recently become a significant issue for both operators and policy makers. More than 50 per cent of the power being expended is directed to powering the necessary cooling systems that keep processors from overheating. This presents, potentially, a big opportunity for the �greening� of data centers. This paper aims at studying the need of green data centers to synchronize the upcoming IoT trends and its effect on the environment, along with better energy efficient strategies. Green data centers thus aims at reducing the carbon footprints required or generated by the computer technology.[14] For any data centre today being energy efficient is a must. PUE can provide a basis for measuring energy efficiency and is very important for creating a sustainable green data center. By reducing carbon footprints and increasing the utilization of individual servers, the goals of PUE and ROI optimization can be achieved

Prevalence of Metabolic Syndrome in Urban India

Background. Metabolic syndrome (MS) is characterised by a constellation of individual risk factors of cardiovascular disease. Materials and Methods. The current study was a population-based survey of cohort of subjects in the metropolitan city of Mumbai. A total of 548 subjects, who attended the CARDIAC evaluation camp, were recruited in the study. Participants with complete fasting lipid profiles, blood glucose, and known cardiac risk markers were evaluated. Results. On applying modified NCEP ATP III, we found out that nearly 95% of the subjects had at least one abnormal parameter. We found the prevalence of MS in our study population to be 19.52%. The prevalence of MS in males was almost double than females (P = .008). The overall prevalence of BMI (>23 kg/m2) was 79.01%. Increased hypertriglyceridemia and decreased levels of HDL-C were found to be more in males (P < .0001). Conclusion. The low percentage of subjects with normal and controlled parameters suggests that there is a need for awareness programs and lifestyle interventions for the prevention and control of MS

Abstracts of Scientifica 2022

This book contains the abstracts of the papers presented at Scientifica 2022, Organized by the Sancheti Institute College of Physiotherapy, Pune, Maharashtra, India, held on 12–13 March 2022. This conference helps bring researchers together across the globe on one platform to help benefit the young researchers. There were six invited talks from different fields of Physiotherapy and seven panel discussions including over thirty speakers across the globe which made the conference interesting due to the diversity of topics covered during the conference. Conference Title:  Scientifica 2022Conference Date: 12–13 March 2022Conference Location: Sancheti Institute College of PhysiotherapyConference Organizer: Sancheti Institute College of Physiotherapy, Pune, Maharashtra, Indi