Are cutout handles used when available in real occupational settings? Description of grips and upper extremities movements during industrial box handling

In order to achieve better postures and decrease musculoskeletal risks adequate design of hand/box couplings for manual materials handling (MMH) are still needed. No studies evaluating upper limb movement thorough direct measurements during box handling in workplace were identified in the literature. In this study we describe the types of grip and movements adopted by ten workers when handling redesigned boxes with cutout handles between different heights on industrial pallets. The new handles were used by 90% of the workers through different types of grip. Electrogoniometric measurements showed relatively safe forearm and wrist movements, although elbow inadequate range of movement was recorded. Despite the good acceptance of the cutout by workers, the new design requires extra internal space in the boxes reducing applications for this alternative of box.     

‘A brutal blow against the democratic normality’: unlearning the epistemology of the political

ABSTRACT

The objective of this paper is to rethink our understanding of ‘the political’ through an examination of two novels by José Saramago, Blindness and Seeing. Both novels tackle directly a central, if not the central, signature metaphor of Western political thought, namely that of ‘seeing the light’. This metaphor takes many forms and recurs throughout the tradition of Western political philosophy as a source, legitimiser, and validator of knowing, and perhaps even a guarantor of knowledge. In particular, this metaphor has served to make knowable whatever it is that is signified by ‘the political’. By extension, it also means that whatever might be outside of this epistemological frame is rendered unknowable, if not unthinkable. Both of Saramago’s novels provide a fruitful means to recalibrate how we might know ‘the political’. The novels call into question the epistemic signatures that frame our commonly accepted understandings of ‘the political’ and in so doing provoke us further to question how we might move towards unlearning the epistemology of the political.     

Fast parallel $$\alpha $$-stable distribution function evaluation and parameter estimation using OpenCL in GPGPUs

\(\alpha \)-Stable distributions are a family of probability distributions found to be suitable to model many complex processes and phenomena in several research fields, such as medicine, physics, finance and networking, among others. However, the lack of closed expressions makes their evaluation analytically intractable, and alternative approaches are computationally expensive. Existing numerical programs are not fast enough for certain applications and do not make use of the parallel power of general purpose graphic processing units. In this paper, we develop novel parallel algorithms for the probability density function and cumulative distribution function—including a parallel Gauss–Kronrod quadrature—, quantile function, random number generator and maximum likelihood estimation of \(\alpha \)-stable distributions using OpenCL, achieving significant speedups and precision in all cases. Thanks to the use of OpenCL, we also evaluate the results of our library with different GPU architectures.     

A copula-based Markov chain model for the analysis of binary longitudinal data

A fully parametric first-order autoregressive (AR(1)) model is proposed to analyse binary longitudinal data. By using a discretized version of a copula, the modelling approach allows one to construct separate models for the marginal response and for the dependence between adjacent responses. In particular, the transition model that is focused on discretizes the Gaussian copula in such a way that the marginal is a Bernoulli distribution. A probit link is used to take into account concomitant information in the behaviour of the underlying marginal distribution. Fixed and time-varying covariates can be included in the model. The method is simple and is a natural extension of the AR(1) model for Gaussian series. Since the approach put forward is likelihood-based, it allows interpretations and inferences to be made that are not possible with semi-parametric approaches such as those based on generalized estimating equations. Data from a study designed to reduce the exposure of children to the sun are used to illustrate the methods.     

Critical Discourse,Applied Inquiry and Public Health Action with Urban Middle School Students: Lessons Learned Engaging Youth in Critical Service-Learning

The Nuestro Futuro Saludable partnership designed a critical service-learning intervention focused on health equity and action. The 10-week afterschool intervention was implemented in a Boston middle school. Youths who took part in the intervention were knowledgeable about the social determinants of health in their communities, as well as to the barriers to health. Our findings indicate that engaging young people in a meaningful way will be critical if health improvement efforts are to be realized. We found that a critical service-learning framework that incorporates elements of applied inquiry and critical pedagogy was effective as a health intervention and provided opportunities for action.     

Racial/Ethnic Minority Vocational Research Trends: An 11‐Year Update

This study extends Flores et al.'s ( 2006 ) 36‐year analysis of racial/ethnic minority (REM) career research to identify recent trends in choice of topics and leading individual and institutional contributors. The authors identified 166 articles on REM career research published from 2005 to 2015 in the Journal of Vocational Behavior, The Career Development Quarterly, the Journal of Career Assessment, and the Journal of Career Development. Of these studies, 92% were empirical, with more than three quarters of these using quantitative rather than qualitative methodology. Most frequently, the empirical studies (n = 153) were based on samples of high school (30.7%) or undergraduate (34.6%) students. The authors discuss the implications of their findings and suggest ways to expand REM career research in the future.     

Don't End Up in the Fields: Identity Construction among Mexican Adolescent Immigrants,their Parents,and Sociocontextual Processes

This grounded theory study of 16 Mexican immigrant adolescents and 20 of their parents examines how they construct relational identities within their families, at school, with friends, and in the larger society. Results focus on a core identity bind faced by the adolescents: immigration messages from parents that say, “don't be like me” and the societal message, “you're not like us.” Response to this bind was guided by two contrasting sets of identity narratives: Empowering narratives invited an intentional approach to school and life choices. Restricting narratives maintained an ambivalent approach to school and life choices. Resolution of the identity bind was a collective, ongoing process that has implications for Mexican immigrant families and the professionals who work with them.     

Measuring disparities in access to water based on the normative content of the human right

Measuring access to water in the Sustainable Development Goals era involves taking into account the human rights framework. Therefore, its content should be considered to conceptualize the level of service through adequate indicators and to follow-up inequities reduction at global, national and local level. This research develops and tests a methodology to measure intra-community disparities based on human right to water normative criteria through a stratified sampling, splitting households served by community based organizations and those self-provided. This approach implies considering much reduced populations, thus special care needs to be taken with sample sizes and uncertainty of estimators. The proposed methodology is practical to locate and accurately characterize minority sectors within rural communities and allows moving beyond central-tendency estimators. It implies higher costs for field data collection than traditional approaches, but this can be assumed given the relevance of the approach from a human rights perspective, which calls for adequate tools for equity-oriented policy making at local level. The research point out how results might be used to shape decision-making processes.     

Culture and Masculinity: When Therapist and Patient are Latino Men

Treating clients from diverse cultural backgrounds, and supervising clinicians who are treating clients of the same ethnicity and gender, are now common experiences in our mental health system. As the growth of minorities in the US greatly outpaces the training of minority clinicians, more attention to these situations is needed. Operating from the premise that interpersonal sensitivity is a fundamental aspect of cross-cultural and cross-ethnic sensitivity, we describe the treatment of a Latino male by a Latino male clinician, in this case both of Puerto Rican descent. We outline the contours of the therapy with a man whose life history included numerous incidents of humiliation and thwarted efforts at efficacy, mastery, agency, and competence, resulting in an adult character structure based on shame and self-doubt. We also discuss the challenges to the clinician posed by working with a man whose traditional upbringing mirrored his own, with all the positives and negatives that must be considered in the countertransference. We describe clinical and cultural reasons for various interventions, and their resulting outcome. The framework of a dynamic interpersonal therapy and the challenges of transference, countertransference, therapist disclosure, and working-through are covered.     

Study of partial least squares and ridge regression methods

This article considers both Partial Least Squares (PLS) and Ridge Regression (RR) methods to combat multicollinearity problem. A simulation study has been conducted to compare their performances with respect to Ordinary Least Squares (OLS). With varying degrees of multicollinearity, it is found that both, PLS and RR, estimators produce significant reductions in the Mean Square Error (MSE) and Prediction Mean Square Error (PMSE) over OLS. However, from the simulation study it is evident that the RR performs better when the error variance is large and the PLS estimator achieves its best results when the model includes more variables. However, the advantage of the ridge regression method over PLS is that it can provide the 95% confidence interval for the regression coefficients while PLS cannot.