Initiation,Trance And Possession in an Afro-Brazilian Religion-The Narratives of a mineiro maranhense

This article presents the process of initiation to the Tambor de Mina, the mainreli-gious tradition in Maranh?o, a state in the north of Brazil .The Tambor de Mina designates an ec-static and inziatic ...     

Territorial Impact Assessment for European regions: A methodological proposal and an application to EU transport policy

The need to engage European research and institutions in the new field of Territorial Impact Assessment, from both a methodological and a procedural perspective, was stated some years ago by the European Spatial Development Perspective (ESDP). The necessity of multidimensional evaluation of the likely impact of policies and programmes on the territory – understood as the dimension on which all the other relevant dimensions (economic, social, environmental and cultural) converge and with which they integrate – emerged as a natural consequence of the importance of spatial aspects in the future development of the Union and of widespread preoccupations about certain emerging spatial trends.A proposal for a TIA methodology combining logical consistency vis-à-vis the Union's present institutional and policy guidelines with operational viability is being developed and applied to Trans-European Networks policy of the EU. Territorial impact is linked to an innovative definition of the objective of “territorial cohesion” of the Treaties in terms of territorial efficiency, quality and identity.Utilising sectoral impact studies developed inside the ESPON programme and developing territorial indicators for impact, vulnerability and desirability (territorial utility functions), a multicriteria model (TEQUILA) is implemented on priority projects as defined by the Commission, and results mapped and described for the 1360 NUTS-3 regions of the Union.     

A generalized scheffé method of multiple comparisons

Standard resulrs on the extrema of quotients of quadratic forms are extended to the non-negative definite case. The maximum and the set over which it is achieved are characterized explicitly both in terms of generalized inverse matrices and generalized eigenvalues. These results become the basis of Scheffe type multiple comparisons in the usual way. To demonstrate their application to statistics with singular covariance matrices, the method is detailed for Mantel-Haenszel, Breslow, and Cox statistics. An example is presented illustrating a situation where the proposed Scheffe type comparisons may be better than the pairwise method.     

When Do Papers Matter? An Institutional Analysis of Undocumented Life in the United States

This article assesses how two key institutions differentially shape immigrants’ relationship to their rights in American society. We draw on over 200 in‐depth interviews to argue that there is a stark difference between how schools encourage undocumented youth to view themselves as equal members of US society and how undocumented workers are marginalized in the workplace. We find that even as schools track and stratify students, they also foster a culture of meritocracy between documented and undocumented youth. Schools ultimately render immigration status irrelevant as undocumented youth learn to navigate the primary institution of this stage of their lives. Conversely, immigration status is central to the experience of undocumented workers, who develop a particular set of survival skills that help them live and work successfully in the United States without being detected while also erecting a barrier between themselves and any additional rights they may be afforded.     

Ecohydrological model for the quantification of ecosystem services provided by urban street trees

Urban green spaces have been recognized as an important source of ecosystem services, whose quantification requires the determination of quantities related to energy, water, carbon and soil nutrient content. In this paper we propose a stochastic ecohydrological model that couples two existing models for water and nutrients in urban soil at the single street-tree scale. The model input are rainfall and irrigation, for water, and deposition and fertilization, for nitrogen, while the output are evapotranspiration, runoff and deep percolation, for water, and plant uptake and leaching, for nitrogen. The various terms are related to the amount of paved and impervious surfaces that surround the tree trunk and regulate the water and nutrient fluxes in and out the soil. Particular attention is paid to the effects of seasonal variations on plant water and nutrients through a temporal variation of the hydrologic variables (i.e., temperature and rainfall intensity and frequencies). The average model outputs are preliminarily compared with the scant existing literature data, supporting the model application to cities with different climatic conditions. The model results are used to estimate the potential for ecosystem services like tree cooling effects, soil carbon sequestration or storm-water management. Because of the minimal structure of the proposed model, it requires a very low amount of data, while accounting for the stochastic input of rainfall. In the context of climate change and increasing urbanization, the model may offer useful indications to urban planners to enhance ecosystem services while minimizing irrigation, fertilization and their related costs.     

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.     

Determinants of sexual arousal and accuracy of its self-estimation in sexually functional males

Men with and without sexual dysfunction present with varying patterns of agreement between subjective estimates of sexual arousal and more objective psychophysiological measures of the same construct. This relative accuracy seems to be associated with sexual function, with men who have sexual dysfunction presenting less accurate estimations (mostly reporting below measured arousal levels). The purpose of this study is to clarify the processes underlying sexual arousal and the accuracy of its self-estimation. We looked at potential predictors of sexual arousal (subjective and physiological) and accuracy in estimating objective sexual arousal in a sample of 60 sexually functional males. Predictors included pre-existing sexual attitudes (erotophobia), both trait and state positive and negative affect, self-focused attention, and interoceptive awareness. Results indicate that this sexually functional sample generally reported below their own erection level. Interestingly, trait negative affect was associated with somewhat lower levels of subjective arousal and higher levels of physiological arousal. On the other hand, state positive affect facilitated both subjective and objective arousal and increased somewhat the accuracy of estimates of erectile responding. Pre-existing sexual attitudes as well as variations in self-focused attention and interoceptive awareness evidenced little effect on sexual arousal or the accuracy of its estimation.     

A general algorithm to fit constrained DEDICOM models

The DEDICOM model is a model to analyze square tables describing asymmetric relationships among n entities. Its importance in the asymmetric multidimensional scaling literature is due to the fact that several authors showed a large class of models to be simply a constrained version of DEDICOM. A typical example is the Generalized GIPSCAL proposed by Kiers & Takane. In this paper we present a new algorithm capable to fit, in the least squares sense, any DEDICOM constrained model.