Volleyball is a competitive sport and the main goal is to win or defeat other teams. The purpose of the study was to investigate the relation between selected anthropometric variables and reaction time of volleyball players. Fourteen district-level volleyball players from Bolpur, Birbhum, and West Bengal were selected as subjects. The age of the subjects was 19 to 25 years. Anthropometric segments (i.e., height, weight, arm length, leg length, BMI, and reaction time) were the variables of the study. Pearson product–moment correlation coefficient was used to find out the relationship. The level of significance was set at 0.05. There is a positive relationship between reaction time and weight, arm length, leg length, and BMI, but there is a negative relationship between height and reaction time of volleyball players.

Background: In modern India the Indian Super League (ISL) is top professional and popular league in the game of Football. The ISL was started in 2013 with 8 teams. The study was framed to review the performance of three ISL session that is 2017-18, 2018-19, 2019-20. To the best of our knowledge, there is no research that has examined the team performance of any session of ISL. Objectives: The main objective of this study is to analyze the three session of Indian Super League (ISL) in respect of Goal, Ball passions &Passing accuracy, Discipline, Attendance and Miscellaneous. Methods & Materials: All information of Last 3 session of Indian Super League (ISL) before pandemic that is 2017-2018, 2018-2019, 2019-2020 were collected for this study and the data was taken from ISL official Web sites and other different search engines and sources. Result and Conclusion: The present study contributes to the current research on performance analysis in Indian Super League by establishing more comprehensive and detailed technical profiles of three sessions on Indian Super League. This could be an important step to provide information on every sessions of Indian Super League. This study is the first step in exploring technical aspects of every session of Indian Super League.

Big data security is a significant concern today due to rapidly growing data volume, velocity, and varieties of data in nature. Data security is a major concern because during transmission through insecure channels. From its recognition, the Montgomery multi-digit multiplication algorithms are still well-accepted approaches in the numerical calculation, chaos arithmetic, and highperformance implementation of public key cryptosystems such as RSA, Diffie-Hellman, and the Elliptic curve cryptosystems. We have presented the comparative study of multi-digit integer multiplication algorithms, and their performance is evaluated in terms of CPU execution time. Montgomery modular multiplication is a good practice, among others.

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