To analyse the relationship between various anthropometric indices and various health risks, population based cross-sectional study has been conducted on 600 adult men (mean age 34.23 years) residing in different areas of Punjab. Mean values for Height (cm), Body Mass (Kg), Circumferences (cm): waist and hip, Systolic and Diastolic Blood Pressure (mmHg), BMI and WHR for subjects were 167.62 ± 6.02 cm, 62.38 ± 8.89 kg, 22.18±2.89 kg/m2, 84.91 9.98 cm, 92.73 ± 8.35 cm, 0.92 ± 0.14, 124.12± 9.48mmHg and 83.99 ± 8.69 mm Hg, respectively. After classifying the data using criteria for WHR, BMI and Blood pressure given by WHO, it has been found that approximately 30% of the adult men are under the risk of developing various adverse health hazards like obesity, diabetes, hypertension, metabolic syndrome etc. Anthropometric indices BMI, WHR and Blood pressure classification criteria are helpful in predicting various serious adverse health related disorders.
This paper examines how the World Wide Web evolved through its numerous stages, including Web 1.0, Web 2.0, Web 3.0, Web 4.0, and the hypothetical Web 5.0. Each stage represents a shift in how users interact with the internet and how technologies shape online experiences. Web 3.0 aspires for intelligence and decentralisation, while Web 2.0 introduces user-generated content and social interaction. Web 4.0 remains a concept, expected to integrate AI, IoT, and more personalized experiences. Web 5.0 speculates about highly intelligent and interconnected machines. The paper also examines the potential applications of these web generations in agriculture, highlighting the prominence of Web 2.0 in information sharing, precision agriculture in Web 3.0, and potential developments in Web 4.0 and 5.0 for the agricultural sector.
The purpose of the present study was to investigate the relationships between the kinematic analysis and performance of pitchers. Total six pitchers were selected as a sample: Indian international male pitchers who had represented at international level were selected as a sample on the basis of performance in preceding competition. The age of all the subjects was ranged above 22 to 26 years. The kinematic variables were knee angle, ankle angle at the time of pitching and performance of pitchers. The Kinematic Analysis of pitchers mean, standard deviation and Karl Pearson’s product moment coefficient correlation were employed with the help of statistical package of SPSS. The level of significance was set at 0.05. The outcome of the study shows that significant relationship with performance (.772, .971) of pitchers in all variables.
This study examines various aspects of agricultural credit in Punjab using primary and secondary data.Under state-directed lending policies, the institutional agricultural credit has witnessed massive expansion since 2004-05.However, the credit disbursement far outpaced the actual demand for agricultural credit.It caused a significant amount of credit diversion towards house construction, immigration of family members, purchase of vehicles, expenditure on social ceremonies, etc. Changing consumption habits and rising incomes enhance the demand for processed products and increase the potential for credit expansion for agro-processing.The crop diversification efforts will also require a substantial allocation of institutional agricultural credit.Skill development, agri start-ups, FPOs, agro-machinery service centers, etc., are other important sources for expanding institutional agricultural credit in Punjab.
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