An Analysis of Diversity and Leadership Practices and Their Impact on Organizational Outcomes

The purpose of this research was to examine how variety and leadership styles affect business performance. According to the descriptive data, the sample included people of different sexes, nationalities, and ages. A favorable relationship between diversity and organizational outcomes was found in an examination of diversity in the workplace. Positive associations were also found between effective leadership practices like communication, strategy, and empowerment. This suggests that diverse teams may need to be led in a different way than homogenous ones, as there was a positive correlation between diversity and successful leadership practices. Findings from the research can help businesses improve their results and foster more welcoming workplaces for all employees

Double burden of malnutrition among urban Bengalee adolescent boys in Midnapore, West Bengal, India

Malnutrition is an important public health problem worldwide. Therefore a study was undertaken to assess the prevalence of adolescent thinness, overweight and obesity in Midnapore town, West Bengal, India. A total of 974 adolescent boys aged 10-18 years were selected following multistage cluster sampling method from three higher secondary schools. Data was collected using pretested questionnaire following standard technique. Presence of thinness was evaluated using the cut-off values of international survey as suggested by Cole et al (2007). While overweight and obesity was determine by using international cut-off values develop by Cole et al (2000) based on international surveys as recommended by IOTF. Overall the prevalence of thinness, overweight and obesity were 20.8%, 14.9% and 3.8%, respectively. This study developed age specific smooth BMI percentile values using LMS method. Moreover, the study also developed BMI cut-off values to define thinness, overweight and obesity. In conclusion, the present analyses indicated that the prevalence of adolescent undernutrition is still a major problem. In addition, there was also an emerging trend for overweight/obesity, thereby indicating a double burden of malnutrition as observed in other developing countries

Prediction Equations for Body-fat Percentage in Indian Infants and Young Children Using Skinfold Thickness and Mid-arm Circumference

The objective of the study was to develop prediction equations for fat-mass percentage in infants in India based on skinfold thickness, mid-arm circumference, and age. Skinfold thicknesses and mid-arm circumference of 46 apparently-healthy infants (27 girls and 19 boys), aged 6–24 months, from among the urban poor attending a well baby clinic of a hospital in Kolkata were measured. Their body-fat percentage was measured using the D2O dilution technique as the reference method. Equations for body-fat percentage were developed using a stepwise forward regression model using skinfold thicknesses, mid-arm circumference, and age as independent variables, and the body-fat percentage was derived by D2O dilution as the dependent variable. The new prediction equations are: body-fat percentage=-69.26+5.76×B-0.33×T2+5.40×M+0.01×A2 for girls and body-fat percentage=-8.75+3.73×B+2.57×S for boys, where B=biceps skinfold thickness, T=triceps skinfold thickness, and S=suprailiac skinfold thickness all in mm, M=mid-arm circumference in cm, and A=age in month. Using the D2O dilution technique, the means (SD) of the calculated body-fat percentage were 17.11 (7.25) for girls and 16.93 (6.62) for boys and, using the new prediction equations, these were 17.11 (6.25) for girls and 16.93 (6.02) for boys. The mean of the differences of paired values in body-fat percentage was zero. The mean (SD) of the differences of paired values for body-fat percentage derived by the D2O technique and the new equations, applied on an independent sample of 23 infants (11 girls and 12 boys) were -0.93 (6.56) for girls and 1.14 (2.43) for boys; the 95% confidence limits of the differences of paired values for body-fat percentage were -2.03 to +3.89 for girls and -0.26 to +2.54 for boys. Given that the trajectories of growth during infancy and childhood are a major risk factor for a group of diseases in adulthood, including coronary heart disease and diabetes, these predictive equations should be useful in field studies

Generative Adversarial Networks for ECG generation, translation, imputation and denoising

Artificial Intelligence is increasingly being used in medical applications. One challenge present in AI in medicine is not having high quality datasets available for training machine learning models. In this work, I explore two different methods of generating high quality medical data. In the first approach, I used a cycleGANs as novel method for ECG trans- lation, imputation and denoising. In the second method, I present a novel algorithm for generating high quality ECG data that uses a machine learning framework called Gener- ative Adversarial Networks and explanation AI systems. Through empirical evaluation, I show that both methods improve over state-of-the-art methods in their respective appli- cations. This thesis demonstrates that machine learning methods can be used to address the data scarcity problem in the medical setting