Sharing and exchanging: understanding common grounds in northeast India

ABSTRACT

Northeast India, a ‘zipper region’ that gives impetus to Southeast Asian and Himalasian studies, is marked by complexities and ambiguities. The paper examines the multiple identity construction in contemporary Assam, the central state of this region and seeks to recover the other experiences that make ethnic life-world possible while challenging the ethnocentric discourses—in academia, politics, public and social movements. Acknowledging the presence of common or possibly universal processes behind the production of such discourses, it aims to interrogate the factors that cut across socio-cultural, political-economical or ecological dimensions. It further examines the multiple discourses and narratives that makes that social possible in the region. In doing so, it locates the strategic positioning of such discourses and how they deal with Indian nation-state and beyond. This paper in essence is interested in the question of possibility of various discourses—as a question of post-history.     

Sociocultural Contexts of Time to First Sex Among Hispanic Adolescents

This investigation examines the sociocultural influences on risk of first sex among a representative sample of Hispanic (primarily of Mexican origin) teens living in Los Angeles County. Teen acculturation (measured as language of interview) moderates the effects of gender on risk of sex, with less acculturated teens exhibiting the greatest gender difference. Teens living with both biological parents have significantly lower risk of sex and the effect of family acculturation (measured as generational status) operates through teens' language of interview. Neither measure of parent‐youth relationship (socioemotional support, parental control) is significant. Hispanic teens living in low‐density Hispanic neighborhoods have significantly higher risk of sex than do teens living in neighborhoods with higher levels of ambient hazards. The results highlight the importance of characterizing sociocultural influences at multiple levels of aggregation.     

Nonparametric bayes estimation of the survival function from a record of failures and follow-ups

In some observational studies, we have random censoring model. However, the data available may be partially observable censored data consisting of the observed failure times and only those nonfailure times which are subject to follow-up. Suzuki (1985) discussed the problem of nonparametric estimation of the survival function from such partially observable censored data. In this article, we derive a nonparametric Bayes estimator of the survival function for such data of failures and follow-ups under a Dirichlet process prior and squared error loss. The limiting properties such as the mean square consistency, weak convergence and strong consistency of the Bayes estimator are studied. Finally, the procedures developed are illustrated by means of an example.     

Knowledge sharing for innovation performance improvement in micro/SMEs: an insight from the creative sector

Abstract

As economies become more reliant on innovative, knowledge-intensive firms, understanding the interaction between knowledge and improving innovation performance is increasingly important. Although most UK businesses are micro, small or medium-sized enterprises (micro/SMEs), knowledge management research has tended to focus on large companies Knowledge sharing can be critical for innovation performance, especially for smaller players with limited resources. Our study presents an insight from micro/SMEs operating in the highly knowledge-intensive and innovative games/entertainment software development sector. Using a mixed method approach, we investigate knowledge sharing and its contribution to firm innovation performance improvements. Our findings suggest that micro/SMEs are at the forefront of the creative sector precisely because of their smaller size. Our study reveals evidence of knowledge donation but limited evidence of knowledge collection in the knowledge sharing process. We develop a model highlighting the importance of industry context, individual knowledge and organizational size in knowledge sharing for innovation performance.     

Cell-to-switch level planning in mobile wireless networks for efficient management of radio resources

A major step in effectively managing radio resources in a cellular network is to design an appropriate scheme for assigning cells to a location area (LA), serviced by a switch, and allocate resources for individual switches. However, this assignment is already proven in the literature to be an NP-hard problem [Merchant A, Sengupta B. Assignment of cells to switches in PCS networks. IEEE/ACM Transactions on Networking 3(5) (1995) 521–6] that requires efficient heuristic search techniques for obtaining real-time solutions. This work presents a state-space search technique, which is a variant of best first search heuristic technique. The algorithm called the block depth first search (BDFS), allocates cells to switches during switch level resource planning. Under various simulated performance criteria, we compare the performance of the proposed technique with other similar procedures in the literature. Our results indicate that the BDFS outperforms the meta-heuristic procedures in terms of both efficiency and quality of solutions. Hence, we conclude that our proposed technique can be effectively used for switch level planning leading to an efficient management of scarce radio resource in cellular networks.     

Search for suitable incomplete block designs for complete diallel cross systems

The suitability of incomplete block designs for each complete diallel cross system I, II, III and IV, under the general genetic model is examined, and a set of necessary conditions obtained. In this connection, modifications in available designs are suggested and illustrated. A table of suitable designs with higher efficiency for complete diallel cross systems is presented.     

Infant Electroencephalogram Coherence and Toddler Inhibition are Associated with Social Responsiveness at Age 4

Previous work has suggested that individual differences in infant functional neuroconnectivity are a potential biomarker for later cognitive and social outcomes, but the mechanisms are unclear. This study investigated a longitudinal model of infant frontotemporal electroencephalogram (EEG) coherence predicting toddler inhibition, which then predicted childhood social responsiveness. A structural equation model showed good fit, with increased right hemisphere frontotemporal EEG coherence predicting less inhibition at age 2, which in turn predicted less social responsiveness at age 4. These findings support the hypothesis that infant frontotemporal connectivity is indirectly associated with later social behavior, with toddler inhibition as a potential mechanism.     

Socioeconomic success and mental health profiles of young adults who drop out of college

Based on the developmental theories of life course and emerging adulthood, the current study examines a central question about the diversity of trajectories among young adults who drop out of college. The National Longitudinal Study of Adolescent to Adult Health (Add Health) provides prospective data on a nationally representative sample of US young adults. Our subsamples include young adults who dropped out of college (N?=?1,530) and those who obtained a bachelor’s degree (N?=?1,977). We examined five dimensions of well-being: socio-economic success indicators, happiness/satisfaction, mastery, stress, and depression. Using latent class analysis, five classes of young adults who dropped out emerged that reflected variability in the patterns of well-being. Differences in socio-economic and mental health dimensions are elaborated in the study. The findings from this study provide valuable basis for challenging stereotypes about the college student dropout population.     

The Elite Illusion: Achievement Effects at Boston and New York Exam Schools

Parents gauge school quality in part by the level of student achievement and a school's racial and socioeconomic mix. The importance of school characteristics in the housing market can be seen in the jump in house prices at school district boundaries where peer characteristics change. The question of whether schools with more attractive peers are really better in a value‐added sense remains open, however. This paper uses a fuzzy regression‐discontinuity design to evaluate the causal effects of peer characteristics. Our design exploits admissions cutoffs at Boston and New York City's heavily over‐subscribed exam schools. Successful applicants near admissions cutoffs for the least selective of these schools move from schools with scores near the bottom of the state SAT score distribution to schools with scores near the median. Successful applicants near admissions cutoffs for the most selective of these schools move from above‐average schools to schools with students whose scores fall in the extreme upper tail. Exam school students can also expect to study with fewer nonwhite classmates than unsuccessful applicants. Our estimates suggest that the marked changes in peer characteristics at exam school admissions cutoffs have little causal effect on test scores or college quality.     

Timor-Leste’s demographic destiny and its implications for the health sector by 2020

Timor-Leste, the newest nation in Asia stands out demographically. The nation-building process of Timor-Leste faces significant demographic challenges due to the population growth which is the fastest in Asia and almost the fastest in the world. This unprecedented growth is primarily an outcome of the extremely high total fertility rate of Timor-Leste which is amongst the highest in the world. Amidst the worrying socio-economic condition in this new nation, it is of great concern that if the current fertility rate and its implied population growth continue as predicted, the population of Timor-Leste will double in 17 years. This paper offers an insight into the future of Timor-Leste’s demography with a particular focus on the impact of rapid pace of population growth on the health sector. The analysis is largely based on 2004 census data, as well as drawing on the broader literature and qualitative research already carried out by the lead author into the reasons behind high fertility in Timor-Leste. On this basis, the authors extrapolate key impacts of this projected population growth, and implications for the health sector.