The Worship and Faith of the people of Kurinji Land

The Tamil people had some very different customs because of their place of residence and for other reasons. What occupies an indispensable place in them is faith and the worship associated with it. Rather than saying that all this arose at the time of man's birth, it is the experiences of life that give rise to man's faith and worship. When beliefs have persisted for ages, they form a tradition. When all these traditions come together, it forms the ground in the name of culture. During the Sangam age, religious development was only significant. Religion was a way of life, but it did not grow into an institution and dominate society. The wisemen thought of this world, the hereafter, existing life, rebirth, heaven, hell, impermanence, salvation, and the fruits of action. On that day, Gods like Shiva, Thirumal, Murugan, Balaraman, Kotravai, and Thirumagal were introduced. People understood that they were gods, worshipped them with love, and lived. Thus, this article summarizes the worship of the people of Kurinji and their beliefs

Determination of Glycaemic Index (GI) through Detecting Insulin Secretion in Pancreas Using GMR Sensor

Diabetes is a metabolic disease that affects the ability of the body to process blood glucose, otherwise known as blood sugar. Diabetes occurs when the body produces minimal or no insulin. The diabetes patients check their glycaemic index after each meal and intake medicine to control glycaemic index. Traditionally, glycaemic index estimates the glucometer by acquiring blood sample. In this paper, we propose a noninvasive method to estimate glycaemic index from the pancreas. The magnetic signal from the pancreas acquires with Giant Magneto Resistance (GMR) sensor for glycaemic index estimation. The GMR acquired pancreatic magnetic signal process with Multi Synchro Squeezing Transform (MSST) for feature extraction. The MSST analysis shows significant changes in instantaneous frequency of the pancreas biomagnetic signal before and after meal consumption. The signal statistical parameters help to predict glycaemic index via regression modelling. The proposed method estimates glycaemic index with 88% accuracy.</jats:p