A CLINICAL STUDY OF ROOKSHANA POORVAKA VIRECHANA KARMA IN PRE-DIABETES W.S.R. TO STHOULYA

We are in the era where human is running in short of time in order to achieve his goals and to fulfil his worldly luxurious desires and due to the sedentary life-style, a significant increase in the prevalence of obesity is found in almost all the age groups in the past few decades. Obesity is the major risk factors for numerous chronic diseases like diabetes mellitus.Pre-diabetes is the precursor stage to diabetes mellitus in which not all of the symptoms required to label a person as diabetic are present, but blood sugar levels are at borderline or little higher than normal range but not high enough to diagnose as diabetes.The management of Prameha Poorvarupa is explained as Ubhayatashodhana specially in Madhyamvayas. In metropolitan cities like Bangalore person’s life style and food habits causes vitiations of Pitta Dosha. And Virechana is the ultimate kind of Shodhana In Pittaja Vikaras. Hence Vriechana is chosen As Shodhana procedure and to conduct Shodhana. Before conducting Shodhana Rookshana is to be done As Poorvakarma In Mamsala, Meduraa, Bhurishlema And Vishamagni Person.Hence, the study conducted here is in 10 Madhyam Vayas and Pre-diabetes patients, who were subjected to Triphaladi Udvartana which is discussed as Apatarpana yoga in Santarpaniya Adhyaya followed by Virechana. Statistically highly significant results were found in - Ati Trishna, Nidradhikyata, Sweda Adhikya, Angagouravata and Alasya and the objective parameters- body weight, BMI, circumference of hip, abdomen and thigh, skin fold thickness of biceps and triceps (p= <0.001).

An Innovative Multiple Attribute Based Distributed Clustering with Sleep/Wake Scheduling Mechanism for WSN

Wireless sensor network is a dynamic field of networking and communication because of its increasing demand in critical Industrial and Robotics applications. Clustering is the technique mainly used in the WSN to deal with large load density for efficient energy conservation. Formation of number of duplicate clusters in the clustering algorithm decreases the throughput and network lifetime of WSN. To deal with this problem, advance distributive energy-efficient adaptive clustering protocol with sleep/wake scheduling algorithm (DEACP-S/W) for the selection of optimal cluster head is presented in this paper. The presented sleep/wake cluster head scheduling along with distributive adaptive clustering protocol helps in reducing the transmission delay by properly balancing of load among nodes. The performance of algorithm is evaluated on the basis of network lifetime, throughput, average residual energy, packet delivered to the base station (BS) and CH of nodes. The results are compared with standard LEACH and DEACP protocols and it is observed that the proposed protocol performs better than existing algorithms. Throughput is improved by 8.1% over LEACH and by 2.7% over DEACP. Average residual energy is increased by 6.4% over LEACH and by 4% over DEACP. Also, the network is operable for nearly 33% more rounds compared to these reference algorithms which ultimately results in increasing lifetime of the Wireless Sensor Network

Uncovering Local Trends in Genetic Effects of Multiple Phenotypes via Functional Linear Models

Recent technological advances equipped researchers with capabilities that go beyond traditional genotyping of loci known to be polymorphic in a general population. Genetic sequences of study participants can now be assessed directly. This capability removed technology-driven bias toward scoring predominantly common polymorphisms and let researchers reveal a wealth of rare and sample-specific variants. Although the relative contributions of rare and common polymorphisms to trait variation are being debated, researchers are faced with the need for new statistical tools for simultaneous evaluation of all variants within a region. Several research groups demonstrated flexibility and good statistical power of the functional linear model approach. In this work we extend previous developments to allow inclusion of multiple traits and adjustment for additional covariates. Our functional approach is unique in that it provides a nuanced depiction of effects and interactions for the variables in the model by representing them as curves varying over a genetic region. We demonstrate flexibility and competitive power of our approach by contrasting its performance with commonly used statistical tools and illustrate its potential for discovery and characterization of genetic architecture of complex traits using sequencing data from the Dallas Heart Study

IMPACT OF E – COMMERCE IN SMALL AND MEDIUM SCALE INDUSTRIES IN PUNE

Internet is the place where millions of people start their business to make money. It is the platform which has immense benefits that has helped many people in establishing a successful business over the internet. The most common business which has captured the attention of many business owners these days is e-commerce. E-commerce!!! This is the word that has changed the life of many people who started their own store in the online world. Despite of investing a huge amount on starting a textile industry, manufacturing business or any other, it’s better to pay few hundred & start building an online store website and get a sale at the end of the day. The use of Internet and e-business activities have generated considerable interest in Pune. It’s not hide form anyone now a day’s e-commerce business is one of the best way to access money online and every single year trend of e-commerce is increasing in a rapid way so it is good if you are planning to start an e-commerce business and want the best e-commerce platform. Electronic commerce would be considered as a new idea for small and medium-sized businesses, consumers and governments. Today, electronic commerce is an evolving revolution in electronic trading of the people and involves many benefits of investment and research in the field of electronic commerce to different sectors especially small and medium enterprises. Small and Medium Enterprises (SMEs) may use electronic commerce technologies in a variety of ways, including: to communicate with customers and suppliers, collect market research data, promote goods and services, provide detailed information about products and services, offer after sales support and assistance and support online ordering of goods and services