A Procedure for Identification of Principal Variables by Least Generalized Dependence

Principal components are often used for reducing dimensions in multivariate data, but they frequently fail to provide useful results and their interpretation is rather difficult. In this article, the use of entropy optimization principles for dimensional reduction in multivariate data is proposed. Under the assumptions of multivariate normality, a four-step procedure is developed for selecting principal variables and hence discarding redundant variables. For comparative performance of the information theoretic procedure, we use simulated data with known dimensionality. Principal variables of cluster bean (Guar) are identified by applying this procedure to a real data set generated in a plant breeding experiment.     

Nonparametric approach to rank global petroleum business opportunities

Crude oil continues to be one of the significant energy sources. Several countries do not have enough indigenous oil and gas resources. These countries resort to overseas business of Exploration and Production (E&P) of oil to secure a stable supply. Profitability, risk and growth guide overseas investment decisions. Selection of overseas investment opportunities are critical for a firm because of uncertainty in identifying and quantifying the attendant geological, commercial, social and political risks as well as return on investment. To secure overseas oil acreage, business entities intend to invest in overseas E&P destination having reasonable petroleum reserve, favorable contract terms (fiscal terms), well-developed infrastructure, sound legal system, minimum country risk (CR) (economic, social and political) and facilitate relative ease to do business in that country. The countries have varied mix of these parameters, and it leads to growing concern to screen and rank overseas investment opportunities. Methodologies to rank global opportunities should take into consideration the risk factors such as petroleum potential, infrastructure, geo-political scenario, contract terms, etc. We coin the term for the numerical rank as Globalization Index (GI), which is a function of the factors considered to affect the decision of a business entity in screening the global destinations for venturing in to E&P business of crude oil. This paper is an attempt to model these factors by invoking Alternating Conditional Expectation methodology to find GI.     

Beyond the Nation State: Social Policy in an Age of Globalization

The paper proceeds from the assumption that globalization has placed significant constraints on the autonomy of nation states in the making of social policy. It argues that the post-World War II welfare state represented a social system highly successful in combining economic efficiency and dynamism with equity and solidarity. This historic achievement at the nation-state level is being undermined by economic globalization. It is both necessary and feasible to recreate and institutionalize this mixed system globally. The paper argues that the concept of social rights, which has served as the basic underpinning of the welfare state, has many weaknesses—logical as well as empirical. While the principles of civil and political rights are being consolidated and extended worldwide the principle of social rights is in decay. The paper presents the case for replacing social rights by social standards as the major concept for buttressing systems of social protection. To be applicable globally a social standard must be conceptualized as a level of social development which corresponds to an appropriate level of economic development. Finally, the paper considers the problems and prospects of developing social standards transnationally. It reviews, briefly, the nature and extent of transnational social policy-making by inter-governmental organizations and concludes that despite difficulties of global action advances towards global social standards remain possible.     

A study of subjective visual disturbances in jewellery manufacturing

Subjective Visual Disturbances are silent adversaries that appear over a period of continued exposure and arise when the visual demands of the tasks exceed the visual abilities of the user. Jewellery manufacturing activity involves precision designs, setting the metal and stones, polishing and filing which requires higher visual demand. Therefore, it is expected that the jewellery manufacturing workers may experience subjective visual disturbances. This study was taken up with the following objectives 1) To study the presence of subjective visual disturbances among jewellery manufacturing workers and compare the same with VDT operators 2) To study the effect of work exposures on subjective visual disturbances and 3) to ascertain whether subjective visual disturbances have any permanent vision related problems. The study was carried out on jewellery manufacturing workers, VDT operators and on graduate students. The symptoms of subjective visual disturbances were identified using a questionnaire developed by Sheedy (2003). Viewing distances were measured and visual angles were calculated. The eye check--ups were also carried out. The subjective visual disturbances were higher in jewellery manufacturing workers. The findings suggest that work exposure has an impact on the causation of subjective visual disturbances. No pathological conditions of the eyes were observed.     

Critical Community Practice

How do we conceptualize community development? What are themajor practices and processes behind the development of communities?What is critical community practice (CCP)? What are its fundamentalvalues? What are the objectives of CCP? How is CCP differentfrom the other approaches of community development? How do weoperationalize CCP? Who are the major agents in promoting CCP?Is it true that the process of CCP induces the empowerment ofcommunities? Moreover, how does this process enhance the emancipationof individuals at grassroots level? Finally, what are the     

Peers and Fertility Preferences: An Empirical Investigation of the Role of Neighbours,Religion and Education

Individual fertility preference is influenced by observed social norms. The present paper investigates the effect of the observed fertility of peers on a woman’s fertility preference. We explore the role of two peer groups: neighbourhood peers and religious peers. Data from the National Family Health Surveys (1992–1993, 1998–1999 and 2005–2006) in India is employed for empirical estimations using a multinomial logit model. We find that both neighbourhood and religious peers have a significant impact on individual fertility preferences, but their relative importance changes with family size. An increase in peer fertility increases the probability of preferring more children. We further examine the roles of education and wealth as transmission channels between the fertility norms of peers to the fertility preferences of the women and find that education plays an important role in moderating peer influences. These findings can serve as vital inputs in formulating family planning and gender policies.     

Wellbeing in China

Partial order methodologies appear as advantageous tools to disclose evaluative trends and developments for time series as, e.g., the fragile states index (FSI). The present study focuses on the variations in the 12 individual indicators of the FSI over the years 2011–2015. The FSI includes in total 178 states and the present study analyzes both the full set of states and a subset comprising only the 28 European Union states. Clear trends are observed. Thus, on a global scale the primary importance of brain drain apparently is turned into group grievance whereas on the European scale the development discloses the increased problems associated with the increasing number of refugees and migrants as well as the declining economic situation in some states. Further the study discloses a series of so-called peculiar states, i.e., states where single indicators values are markedly higher or lower than expected when comparing to the “main stream” of indicator values for the states studied. In all cases the findings were substantiated and verified by available literature.     

A new approach: Interrelated two-way clustering of gene expression data

The paper presents a new approach to interrelated two-way clustering of gene expression data. Clustering of genes has been effected using entropy and a correlation measure, whereas the samples have been clustered using the fuzzy C-means. The efficiency of this approach has been tested on two well known data sets: the colon cancer data set and the leukemia data set. Using this approach, we were able to identify the important co-regulated genes and group the samples efficiently at the same time.     

Demography of Indian aging, 2001-2051

India is the second largest country in the world, with 72 million elderly persons above 60 years of age as of 2001, compared to China's 127 million. One of the objectives of this paper is to assess the emerging scenario of elderly for the first half of the 21st century. According to projections, the elderly in the age group 60 and above is expected to increase from 71 million in 2001 to 179 million in 2031, and further to 301 million in 2051; in the case of those 70 years and older, they are projected to increase from 27 million in 2001 to 132 million in 2051. Among the elderly persons 80 and above, they are likely to improve their numbers from 5.4 million in 2021 to 32.0 million in 2051. The increasing number and proportion of elderly will have a direct impact on the demand for health services and pension and social security payments. Mobilizing resources for geriatric care and providing sufficient maintenance for the elderly will emerge as a major responsibility for heath-care providers and pension economists.