Volume 13 | Issue 2 |

 Abstract

This study aims to compare the effect of unilateral and bilateral plyometric training in combination with resisted sprint on stride length and stride frequency of adolescent boy's sprinters. Forty-five moderately trained subjects, aged 13 to 15 years studying in different schools from Idukki and Kottaym districts, of Kerala state, India were selected as subjects. The selected subjects were divided into three groups, namely Unilateral Plyometric training in Combination with Resisted Sprinting (UPTCRS) Group I (n = 15), Bilateral Plyometric Training in Combination with Resisted Sprinting (BPTCRS) Group II (n = 15) and (CG) control Group III (n=15). Both the groups performed maximal effort of plyometric leg exercises and resisted sprinting for 3 days a week for 12 weeks. Group I performed all the exercises with full repetition of each limb subsequently change to other side of the limb, the left side followed by right limb. Group II performed all the exercises with both limb simultaneously. The data were analysed by using SPSS version 20, paired 't' test for each group, and ANCOVA were used to find out the effect between the groups. The paired mean differences were determined using Scheff's post hoc test whenever the adjusted post-test 'F' ratio values were found to be significant. Results of the study shows that unilateral and bilateral plyometric training in combination with resisted sprinting were significantly improved on stride length and stride frequency.

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 Keywords

EFFECTS OF UNILATERAL AND BILATERAL PLYOMETRIC TRAINING IN COMBINATION WITH RESISTED SPRINTNG ON STRIDE LENGTH AND STRIDE FREQUENCY OF ADOLESCENT SPRINTERS

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Increasing road accidents are a source of concern for everyone these days, and the road and safety department of the Indian government, as well as state governments, are working hard to control them using various means. Braking system must assure to the customer that this is the safest equipment provided to the vehicle for avoiding accidents. Brakes must fulfil and capable to meet all the required parameters of modern vehicles such as speed power and comfort. The friction pad and disk cause the wheels to slow down during braking. The present work is aimed to study the behaviour of the disc brake with various sizes of perforation on the disc brake rotor by means of various parameters. The parameters considered in the work are diameter of holes 8mm, 10mm, 12mm; circular patterns holes 32, 26, 20 on the disc brake and the distance between the holes 8mm, 9mm and 10mm. Materials consider during the analysis are AISI 1020, AISI 1040, AISI 1113, AISI 1213. From the findings it is observed that AISI 1020 material has performed better than other materials in terms of their strength and attained lower deformation in comparison with other materials

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Creative Commons Attribution 4.0 and The Open Definition

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AISI Steel, Diameter of Hole, Circular Pattern, Disc Brake Rotor

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Creative Commons Attribution 4.0 and The Open Definition

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PCR is a molecular biology technique that amplifies a single or few copies of DNA, generating thousands to millions of copies. It is widely used in medical and biological research labs for various applications. It consists of three major steps which includes denaturation, annealing, and extension. PCR is useful in investigating and diagnosing various diseases and detects human genes, as well as bacterial and viral genes. It requires only a tiny amount of original DNA, making it valuable in forensic science. PCR identifies genes implicated in cancer development and has also benefited many molecular cloning techniques. This review provides a solid foundation for understanding the basics of PCR, its history, applications, and impact on various fields.

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Creative Commons Attribution 4.0 and The Open Definition

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DNA cloning, protein, molecular biology, genetics

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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This paper examines the fundamental transformation of India's market structure from traditional monopolistic competition to platform-based economies, focusing on the period 2019-2024. The research analyzes how digital platforms have reshaped competitive dynamics in the Indian market through network effects, economies of scale, and data-driven strategies. Drawing on comprehensive market data and case studies of major platforms like Zomato, Flipkart, and Paytm, we investigate the drivers and implications of this transition. Our findings indicate that India's digital economy, projected to reach USD 1 trillion by 2028, is characterized by increasing platform dominance and "winner-takes-all" dynamics. The study reveals how regulatory frameworks, particularly through the Competition Commission of India's interventions, are evolving to address the unique challenges posed by platform economies. This research contributes to the growing literature on digital market dynamics in emerging economies and provides insights for policymakers navigating the complexities of platform-based competition.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Platform Economies, Digital Transformation, Monopolistic Competition, Economies of Scale, Data-Driven Strategies, Digital Market Dynamics, Emerging Economies, Competition Policy, Regulatory Frameworks

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In today's digital landscape, individuals are increasingly faced with the challenge of balancing security and convenience in their daily activities. This study, titled "The Trade- off Between Security and Convenience: Finding the Sweet Spot," explores how users navigate this critical tension when utilizing various technologies and services. By surveying a diverse range of participants, we aim to identify prevailing attitudes towards security measures, the desire for convenience, and the factors influencing user decisions. Our findings will illuminate the nuanced preferences of consumers, revealing how they prioritize security features against the backdrop of their need for ease of use. Ultimately, this research seeks to contribute to a deeper understanding of user behavior and inform the development of solutions that optimize both security and convenience in digital interactions.

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2FA, Security, Convenience, Meachine learning, Logistic Regression

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Creative Commons Attribution 4.0 and The Open Definition

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Anjo Didi Natak Ka Vartman Paridrishya Me Prasangita

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Anjo Didi Natak Ka Vartman Paridrishya Me Prasangita

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Creative Commons Attribution 4.0 and The Open Definition

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Designing for children, Design elements, Montessori schools.

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Creative Commons Attribution 4.0 and The Open Definition

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: The process of Ayurveda drug discovery has received a big boost from the use of high-end computers and machine learning algorithms. There are many new drugs introduced into the market each year, making it difficult for Ayurveda doctors to keep up with the latest advancements. In this proposed work we introduce an end-to-end system that is able to go through the literature of newly discovered drugs and store the features in a database. Then, it is able to accept the symptoms of a patient from a physician/Ayurveda doctor and recommend appropriate Ayurveda drugs, which may be prescribed to the patient, subject to the discretion of the physician/ Ayurveda doctor. We'll use a variety of supervised machine learning methods before deciding which one is best for the model. Datasets collected from www.kaggle.com and www.githib.com and supervised learning algorithms applied to process the datasets and drug recommendation is done. There are many research works on this topic where they have built models and shown results, around 80 to 85% accuracy generated using R language, Python language and data science tools. But all these works are just models, cannot be used as application useful in real time. In our project work we build an application with model that can recommend the suitable Ayurveda drug based on the parameters like symptoms, disease, drug rating etc. It focuses on various feature selection techniques and prediction models to enhance disease diagnosis, improve patient survival rates, and recommend the best lifestyle practices to follow. Proposed system is a real time medical system useful for hospitals and doctors and built using Microsoft tools such as Visual Studio tool and SQL Server tool.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Key words: PAN- Presence Across Nation, GOI-Government Of India, Doon-Dehradun, SCM-Smart City Mission, UPCL-Uttarakhand Power Corporation Limited, ABD-Area Based Development, ONGC-Oil and Natural Gas Corporation, DGP- Director General of Police, CCTV-Closed-Circuit Television, CEO-Chief Executive Officer, SCADA-Supervisory Control and Data Acquisition, GPS-Global Positioning System,

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Creative Commons Attribution 4.0 and The Open Definition