Defining Governance in Latin America

Public Organization Review - This exploratory research aims to propose a conceptual definition of governance and to speculate on the state of governance in Latin America. Political instability,...     

Measuring operational excellence: an operational excellence profitability (OEP) approach

The pursuit of operational excellence in the manufacturing industry is at rise but its measurement still lacks of appropriate indicators to determine its financial benefits. The ambiguity is due to the impact arisen from manufacturing fluctuations such as price and cost, production mix and direct and indirect parameters variations. Manufacturing fluctuations distort the cost benefit of operational excellence. This paper, therefore, proposes the OEP (Operational Excellence Profitability) indicators to isolate the impact of manufacturing fluctuation and distinctly identify the payback of operational excellence strategies and initiatives through cost benefits of achieving higher efficiency and yield. The paper presents the conceptual and mathematical development of the proposed OEP indicators and the formulas used for their calculation. Hypothetical and industrial-based investigations and applications of the OEP indicators are conducted for their validation. The results obtained from the hypothetical exercise and industrial case suggest that OEP indicators can provide an effective cost-benefit analysis of operational excellence. This would contribute in providing manufacturing organizations with more complete information regarding the performance of their processes, which will allow their directors and managers to take better decisions related to the management and improvement of their processes.     

The constantly changing face of chromatin

Many recent findings have altered our vision of chromatin and its role in the regulation of cellular functions. Our perspective concerning chromatin has changed to a much more complex, but also more dynamic, view of chromatin as an entity that is intimately involved in the regulation of a variety of cellular functions. In this review, we describe the various types of proteins that alter the structure and, therefore, the function of chromatin and discuss the possible role of chromatin in cell aging. The elucidation of the mechanisms that link chromatin to aging will be one of the most exciting and striking advancements in the coming years     

The U.S. Health System and Immigration: An Institutional Interpretation1

We examine the institutions that comprise the U.S. health system and their relationship to a surging immigrant population. The clash between the system and this human flow originates in the large number of immigrants who are unauthorized, poor, and uninsured and, hence, unable to access a system largely based on ability to pay. Basic concepts from sociological theory are brought to bear on the analysis of this clash and its consequences. Data from a recently completed study of health institutions in three areas of the United States are used as an empirical basis to illustrate various aspects of this complex relation. Implications of our results for theory and future health policy are discussed.     

Emerging Genetic and Epigenetic Mechanisms Underlying Pubertal Maturation in Adolescence

The adolescent transition begins with the onset of puberty which, upstream in the brain, is initiated by the gonadotropin‐releasing hormone (GnRH) pulse generator that activates the release of peripheral sex hormones. Substantial research in human and animal models has revealed a myriad of cellular networks and heritable genes that control the GnRH pulse generator allowing the individual to begin the process of reproductive competence and sexual maturation. Here, we review the latest knowledge in neuroendocrine pubertal research with emphasis on genetic and epigenetic mechanisms underlying the pubertal transition.     

Three years later: the adaptation process of 1980 (Mariel) Cuban and Haitian refugees in South Florida

In recent years, southern Florida has experienced rapid new inflows of immigrants from Central America and the Caribbean. Since the arrival in 1980 of Mariel (Cuban) and Haitian immigrants to this area, a great deal of speculation has emerged as to the adaptation of these two groups to south Florida and the impact which their presence has wielded on the social and economic arenas of that region. In this paper, we present selected background characteristics of representative samples of both groups and discuss our empirical findings with regard to the labor market experiences, social networks, and educational experiences of the immigrants included in our sample. While the two groups minimally differ from earlier cohorts of their compatriots entering south Florida, their experiences since arriving in Florida have been quite different. Both the Cuban and Haitian immigrants arriving in 1980 demonstrate higher levels of unemployment than their counterparts who arrived earlier; however, the existence of the Cuban economic enclave in Miami did facilitate the entry of a greater number of Cubans than Haitians into the formal labor market. Initial evidence indicates that significant numbers of individuals from both groups participate in the informal labor market, often receiving less than the minimum wage.This study was conducted with the support of the Sociology Program, National Science Foundation (Grant #SES-8215567).     

Portrait of the Scholar: Notes on Irwin Deutscher's What We Say/What We Do

Book Reviews are in this Articles.
What We Say/What We Do: Sentiments and Acts. By Irwin Deutscher.     

Family Structure and Children’s Education Outcome: Evidence from Uruguay

As the developed world has experienced a shift away from the traditional two-biological parent family, scholars have sought to understand how children are faring in non-traditional homes. Debate has arisen over assertions that children from non-traditional families do less well in school. Concerns about selection issues as well as a paucity of cross-cultural evidence, have led some scholars to question the influence of family structure on educational attainment. Using data from the 2006 Uruguayan household survey, we evaluated the relationship of family structure with children’s education using two different methods to deal with selection problems, an instrumental variables approach and propensity score matching. Both approaches yield evidence that growing up in non-traditional family structures seems to be negative related with the schooling of Uruguayan boys, with more muted results for girls. Interestingly, Uruguay is a developing country with two peculiarities, that is, a culture that experienced fairly rapid modernization in terms of institutions—including family transition—especially compared with other South American nations, and meanwhile an intriguingly high level of school drop-out, unusually high for Uruguay’s overall level of development.     

Healthcare 4.0: trends,challenges and research directions

Abstract

This paper aims at examining the trends, challenges and theoretical gaps in the implementation of Healthcare 4.0 (H4.0) based on a scoping review of the literature. For that, we searched journal articles in four widely known databases and screened the retrieved articles to obtain a publications’ portfolio. Our findings indicate that, despite the recency of the subject, research in H4.0 has been conducted in an interdisciplinary way with a diversified set of applications and functionalities. In terms of its implementation, H4.0 has been more commonly found in hospitals’ information flows, especially the ones related to healthcare treatments. The identified implementation trends, however, neglect a more holistic approach for H4.0, which originated three main research directions for this topic. Although identified as a trending topic in the area of healthcare operations management, literature on H4.0 may be viewed as randomly conceived, lacking academic alignment and practical orientation based on a grounded theory, which we aim at providing with the present study.     

Accuracy of edge detection methods with local information in speckled imagery

We compare the accuracy of five approaches for contour detection in speckled imagery. Some of these methods take advantage of the statistical properties of speckled data, and all of them employ active contours using B-spline curves. Images obtained with coherent illumination are affected by a noise called speckle, which is inherent to the imaging process. These data have been statistically modeled by a multiplicative model using the G0 distribution, under which regions with different degrees of roughness can be characterized by the value of a parameter. We use this information to find boundaries between regions with different textures. We propose and compare five strategies for boundary detection: three based on the data (maximum discontinuity on raw data, fractal dimension and maximum likelihood) and two based on estimates of the roughness parameter (maximum discontinuity and anisotropic smoothed roughness estimates). In order to compare these strategies, a Monte Carlo experience was performed to assess the accuracy of fitting a curve to a region. The probability of finding the correct edge with less than a specified error is estimated and used to compare the techniques. The two best procedures are then compared in terms of their computational cost and, finally, we show that the maximum likelihood approach on the raw data using the G0 law is the best technique.