Exploratory Factor Analysis of the contents and styles of irrational thoughts assessed by "The Attitudes and Beliefs Inventory"

The factor structure of a back translated Spanish version (Lega, Caballo and Ellis, 2002) of the Attitudes and Beliefs Inventory (ABI) (Burgess, 1990) is analyzed in a sample of 250 university students.The Spanish version of the ABI is a 48-items self-report inventory using a 5-point Likert scale that assesses rational and irrational attitudes and beliefs. 24-items cover two dimensions of irrationality: a) areas of content (3 subscales), and b) styles of thinking (4 subscales).An Exploratory Factor Analysis (Parallel Analysis with Unweighted Least Squares method and Promin rotation) was performed with the FACTOR 9.20 software (Lorenzo-Seva and Ferrando, 2013).The results reproduced the main four styles of irrational thinking in relation with the three specific contents of irrational beliefs. However, two factors showed a complex configuration with important cross-loadings of different items in content and style. More analyses are needed to review the specific content and style of such items.

Iowa Department of Public Health School Dental Screening Requirement - State Compliance 2012 - 2013 School Year, August 20, 2013

School dental screening of all high schools in Iowa that have participated. A state summary.

Iowa Department of Public Health School Dental Screening Requirement - State Compliance 2011 - 2012 School Year, November 20, 2012

School dental screening of all high schools in Iowa that have participated. A state summary.

Iowa Department of Public Health School Dental Screening Requirement - State Compliance 2013-2014 School Year, August 15, 2014

School dental screening of all high schools in Iowa that have participated. A state summary.

Iowa Department of Public Health Oral Health Bureau School Dental Screening Audit Report - State Summary 2008-2009 School Year, December 1, 2009

School dental screening of all high schools in Iowa that have participated. A state summary.

Iowa Department of Public Health Oral Health Bureau School Dental Screening Audit Report - State Summary 2009-2010 School Year, December 1, 2010

School dental screening of all high schools in Iowa that have participated. A state summary.

Iowa Department of Public Health School Dental Screening Requirement - State Compliance 2010 - 2011 School Year, September 14, 2011

School dental screening of all high schools in Iowa that have participated. A state summary.

Iowa Department of Public Health School Dental Screening Requirement - State Compliance 2014-2015 School Year, August 11, 2015

School dental screening of all high schools in Iowa that have participated. A state summary.

Iowa Department of Public Health School Dental Screening Requirement - State Compliance 2013-2014 School Year, August 15, 2014

School dental screening of all high schools in Iowa that have participated. A state summary.

Iowa Department of Public Health School Dental Screening Requirement - State Compliance 2014-2015 School Year, September 11, 2015

School dental screening of all high schools in Iowa that have participated. A state summary.

Ampliación y adecuacion del American School of Barcelona

Award-winning

A spatially explicit life cycle inventory of the global textile chain

Life cycle analyses (LCA) approaches require adaptation to reflect the increasing delocalization of production to emerging countries. This work addresses this challenge by establishing a country-level, spatially explicit life cycle inventory (LCI). This study comprises three separate dimensions. The first dimension is spatial: processes and emissions are allocated to the country in which they take place and modeled to take into account local factors. Emerging economies China and India are the location of production, the consumption occurs in Germany, an Organisation for Economic Cooperation and Development country. The second dimension is the product level: we consider two distinct textile garments, a cotton T-shirt and a polyester jacket, in order to highlight potential differences in the production and use phases. The third dimension is the inventory composition: we track CO2, SO2, NO (x), and particulates, four major atmospheric pollutants, as well as energy use. This third dimension enriches the analysis of the spatial differentiation (first dimension) and distinct products (second dimension). We describe the textile production and use processes and define a functional unit for a garment. We then model important processes using a hierarchy of preferential data sources. We place special emphasis on the modeling of the principal local energy processes: electricity and transport in emerging countries. The spatially explicit inventory is disaggregated by country of location of the emissions and analyzed according to the dimensions of the study: location, product, and pollutant. The inventory shows striking differences between the two products considered as well as between the different pollutants considered. For the T-shirt, over 70% of the energy use and CO2 emissions occur in the consuming country, whereas for the jacket, more than 70% occur in the producing country. This reversal of proportions is due to differences in the use phase of the garments. For SO2, in contrast, over two thirds of the emissions occur in the country of production for both T-shirt and jacket. The difference in emission patterns between CO2 and SO2 is due to local electricity processes, justifying our emphasis on local energy infrastructure. The complexity of considering differences in location, product, and pollutant is rewarded by a much richer understanding of a global production-consumption chain. The inclusion of two different products in the LCI highlights the importance of the definition of a product's functional unit in the analysis and implications of results. Several use-phase scenarios demonstrate the importance of consumer behavior over equipment efficiency. The spatial emission patterns of the different pollutants allow us to understand the role of various energy infrastructure elements. The emission patterns furthermore inform the debate on the Environmental Kuznets Curve, which applies only to pollutants which can be easily filtered and does not take into account the effects of production displacement. We also discuss the appropriateness and limitations of applying the LCA methodology in a global context, especially in developing countries. Our spatial LCI method yields important insights in the quantity and pattern of emissions due to different product life cycle stages, dependent on the local technology, emphasizing the importance of consumer behavior. From a life cycle perspective, consumer education promoting air-drying and cool washing is more important than efficient appliances. Spatial LCI with country-specific data is a promising method, necessary for the challenges of globalized production-consumption chains. We recommend inventory reporting of final energy forms, such as electricity, and modular LCA databases, which would allow the easy modification of underlying energy infrastructure.

Stratified estimation of forest inventory variables using spatially summarized stratifications

Abstract

Improving breast cancer education: the case of an evolving multidisciplinary module for undergraduate medical students (lausanne medical school, 1993-2008).

Breast cancer is a public health issue in numerous countries. Multidisciplinary collaboration is required for patient care, research, and also education of future physicians. This paper uses Kern's framework for curriculum design to demonstrate how a breast diseases module for undergraduate medical students created in 1993 evolved over 15 years. The main outcomes of program refinements were better integrated course content, the development of electronic course documents, and implementation of computer-aided small group learning. A main future challenge is to further develop efficient instructional strategies in line with well-defined learning needs for undergraduate students.

Inventory of sparse forest populations using adaptive cluster sampling

Abstract