Impact of Globalisation and Economic Reforms on Employment in India

In this paper, the basics of globalization, the economic reforms initiated in India and the trends in employment and the impact of globalisation are discussed. It is argued that the unorganised workers would expand further due to globalisation. Under the present deprived conditions of unorganised sector, this would lead to imbalance in the labour market leading to more supply of labours, low wages and low level of income. This situation would affect the social and economic conditions of the unorganised working population. The unorganised workers will be in the highly disadvantageous position as there would be a shift in the technology from labour to capital intensive and use of unskilled to skilled workers.Globalisation; Economic Reforms; Employment; labour; India; Unorganised workers; Organised workers; Unemployment; unskilled workers; enterprises;

Trends in Health Status and Infrastructural Support in Tamil Nadu

This paper aimed at examining the health status in Tamil Nadu and to highlight the major issues on it. The health scenario of Tamil Nadu was examined, based on certain selected health indicators and the extent of health infrastructure available in the state and its utilisation were also discussed The study observed that there is a reduction in the vital statistics such as birth rate, death rate and infant mortality rate and an increase in the life expectancy at birth in Tamil Nadu during the last three decades. These trends indicated the developments in the health status of the people and the steady progress in the health indicators. The study argued that though the demographic indicators and vital statistics indicate very high of Tamil Nadu in terms of health performance, there are several areas in which improvements are possible. To conclude, Tamil Nadu seems to have performed better compared to All India average in demographic and several health indicators. However, Tamil Nadu is capable of much higher levels of achievements with its knowledge base, administrative and institutional strength and its growth potentials.Health Status; Health Infrastructure; Health Issues; Health Scenario; Birth Rate; Death Rate; Infant Mortality; Life Expectancy; Infant Mortality; Mortality Rate;Tamil Nadu

A descriptive and comparative study of the school adjustment counsellor program in the commonwealth of Massachusetts and in the communities of Waltham, Malden, Brookline, and Northborough

Thesis (M.S.)--Boston Universit

Dominance of grain size impacts on seasonal snow albedo at deforested sites in New Hampshire

Snow cover serves as a major control on the surface energy budget in temperate regions due to its high reflectivity compared to underlying surfaces. Winter in the northeastern United States has changed over the last several decades, resulting in shallower snowpacks, fewer days of snow cover, and increasing precipitation falling as rain in the winter. As these climatic changes occur, it is imperative that we understand current controls on the evolution of seasonal snow albedo in the region. Over three winter seasons between 2013 and 2015, snow characterization measurements were made at three open sites across New Hampshire. These near-daily measurements include spectral albedo, snow optical grain size determined through contact spectroscopy, snow depth, snow density, black carbon content, local meteorological parameters, and analysis of storm trajectories using the Hybrid Single-Particle Lagrangian Integrated Trajectory model. Using analysis of variance, we determine that land-based winter storms result in marginally higher albedo than coastal storms or storms from the Atlantic Ocean. Through multiple regression analysis, we determine that snow grain size is significantly more important in albedo reduction than black carbon content or snow density. And finally, we present a parameterization of albedo based on days since snowfall and temperature that accounts for 52% of variance in albedo over all three sites and years. Our improved understanding of current controls on snow albedo in the region will allow for better assessment of potential response of seasonal snow albedo and snow cover to changing climate

Sparse Recovery for Orthogonal Polynomial Transforms

In this paper we consider the following sparse recovery problem. We have query access to a vector ? ? ?^N such that x? = ? ? is k-sparse (or nearly k-sparse) for some orthogonal transform ?. The goal is to output an approximation (in an ?? sense) to x? in sublinear time. This problem has been well-studied in the special case that ? is the Discrete Fourier Transform (DFT), and a long line of work has resulted in sparse Fast Fourier Transforms that run in time O(k ? polylog N). However, for transforms ? other than the DFT (or closely related transforms like the Discrete Cosine Transform), the question is much less settled. In this paper we give sublinear-time algorithms - running in time poly(k log(N)) - for solving the sparse recovery problem for orthogonal transforms ? that arise from orthogonal polynomials. More precisely, our algorithm works for any ? that is an orthogonal polynomial transform derived from Jacobi polynomials. The Jacobi polynomials are a large class of classical orthogonal polynomials (and include Chebyshev and Legendre polynomials as special cases), and show up extensively in applications like numerical analysis and signal processing. One caveat of our work is that we require an assumption on the sparsity structure of the sparse vector, although we note that vectors with random support have this property with high probability. Our approach is to give a very general reduction from the k-sparse sparse recovery problem to the 1-sparse sparse recovery problem that holds for any flat orthogonal polynomial transform; then we solve this one-sparse recovery problem for transforms derived from Jacobi polynomials. Frequently, sparse FFT algorithms are described as implementing such a reduction; however, the technical details of such works are quite specific to the Fourier transform and moreover the actual implementations of these algorithms do not use the 1-sparse algorithm as a black box. In this work we give a reduction that works for a broad class of orthogonal polynomial families, and which uses any 1-sparse recovery algorithm as a black box

Impact of cyclooxygenase inhibitors in the Women's Health Initiative hormone trials: secondary analysis of a randomized trial.

OBJECTIVES: We evaluated the hypothesis that cyclooxygenase (COX) inhibitor use might have counteracted a beneficial effect of postmenopausal hormone therapy, and account for the absence of cardioprotection in the Women's Health Initiative hormone trials. Estrogen increases COX expression, and inhibitors of COX such as nonsteroidal anti-inflammatory agents appear to increase coronary risk, raising the possibility of a clinically important interaction in the trials. DESIGN: The hormone trials were randomized, double-blind, and placebo-controlled. Use of nonsteroidal anti-inflammatory drugs was assessed at baseline and at years 1, 3, and 6. SETTING: The Women's Health Initiative hormone trials were conducted at 40 clinical sites in the United States. PARTICIPANTS: The trials enrolled 27,347 postmenopausal women, aged 50-79 y. INTERVENTIONS: We randomized 16,608 women with intact uterus to conjugated estrogens 0.625 mg with medroxyprogesterone acetate 2.5 mg daily or to placebo, and 10,739 women with prior hysterectomy to conjugated estrogens 0.625 mg daily or placebo. OUTCOME MEASURES: Myocardial infarction, coronary death, and coronary revascularization were ascertained during 5.6 y of follow-up in the estrogen plus progestin trial and 6.8 y of follow-up in the estrogen alone trial. RESULTS: Hazard ratios with 95% confidence intervals were calculated from Cox proportional hazard models stratified by COX inhibitor use. The hazard ratio for myocardial infarction/coronary death with estrogen plus progestin was 1.13 (95% confidence interval 0.68-1.89) among non-users of COX inhibitors, and 1.35 (95% confidence interval 0.86-2.10) among continuous users. The hazard ratio with estrogen alone was 0.92 (95% confidence interval 0.57-1.48) among non-users of COX inhibitors, and 1.08 (95% confidence interval 0.69-1.70) among continuous users. In a second analytic approach, hazard ratios were calculated from Cox models that included hormone trial assignment as well as a time-dependent covariate for medication use, and an interaction term. No significant interaction was identified. CONCLUSIONS: Use of COX inhibitors did not significantly affect the Women's Health Initiative hormone trial results

Faculty Exchanges as a Way to Increase Globalization in the IS Curriculum

Companies are becoming more and more global, in large part because of the impact of Information Systems (IS). IS faculty exchanges can be a way for IS faculty to broaden their experiences and education in this flat world. This article presents the views of four scholars on faculty exchanges and experiences. These views are based on their faculty exchange experiences and were presented during a panel session at the America’s Conference on Information Systems (AMCIS) 2010 in Lima, Peru. The panelists described their individual exchanges, how they impacted their areas of research and teaching, and their lives

Bostonia. Volume 17

Founded in 1900, Bostonia magazine is Boston University's main alumni publication, which covers alumni and student life, as well as university activities, events, and programs