Housing and quality of life for migrant communities in western Europe: a capabilities approach

Housing is an important determinant of quality of life and migrants are more likely to encounter poor quality housing than natives. This paper draws on the capabilities approach to welfare economics to examine how issues of housing and neighborhood conditions influence quality of life and opportunities for migrants in Western Europe. The analysis utilizes data from the second European Quality of Life Survey (EQLS) to explore variation in life and housing satisfaction between migrants and non-migrants (natives) in Western Europe and whether being a migrant and living in an ethnically diverse neighborhood contribute to lower satisfaction. The results show that migrants are more likely to experience lower levels of life and housing satisfaction and that living in a diverse neighborhood is negatively associated with life and housing satisfaction. While diverse, inner-city neighborhoods can increase opportunities for labor market access, social services and integration, the tendency towards clustered settlement by migrants can also compound housing inequality. Conversely, migrant homeowners are on average substantially more satisfied with the quality of public services and of their neighborhood and have lower material deprivation than both migrant and non-migrant renters. The findings draw attention to the need to address housing and neighborhood conditions in order to improve opportunities for integration and well-being

The Astronomy of the Kamilaroi People and their Neighbours

The Kamilaroi people and their neighbours, the Euahlayi, Ngemba, and Murrawarri, are an Aboriginal cultural grouping located in the northwest and north central of New South Wales. They have a rich history, but have been missed in much of the literature concerned with sky knowledge in culture. This study collected stories, some of which have not previously been reported in an academic format, from Aboriginal people practicing their culture, augmented with stories from the literature, and analysed the data to create a database of sky knowledge that will be added to the larger body of Aboriginal cultural knowledge in Australia. We found that there is a strong sky culture reflected in the stories, and we also explored the stories for evidence of an ethnoscientific approach to knowledge of the sky.Comment: 28 pages, 9 figure

EI Espacio y la Identidad en un Contexto Transnacional

La migracion transnacional ha puesto en dud a las perspectivas tradicionales sobre la migracion internacionalla cual fue caracterizada anteriormente como un cambio pennanente de residencia entre dos estados-naciones, Y la cual ultimaruente Ileva a la asimilacion en el destino del migrante. Sin embargo, en contraste a los migrantes internacionales que han sido estudiados anteriormente, los transmigrantes toman medidas, hac en decisiones, y experimentan preocupaciones conectadas con dos 0 mas sociedades simultaneamente (Mendoza, 2006). Para comprender mejor el proceso de la migracion transnacional en su contexto completo, es importante explorar y entender las causas y los efectos de la transformacion espacial en el proceso ademas de las actitudes que van rodeando esos efectos. Dos areas principales que deben ser cubiertos en esta exploracion del espacio incluyen el concepto de las fronteras y 10 de los espacios transnacionales por lugares locales - una idea formulada pOl\u27 Mendoza (2006)

The Changing Structure of the Homeless Population in Cork City: Implications for Theories of Homelessness and Service Provision

The last two decades have seen extensive reform of policy on homelessness in Ireland, but these changes have not been underpinned by any extensive research which would shed light on the causes of homelessness and help in the design of settlement services. This article, which describes the results of the first detailed survey of the homeless population of Cork city, is intended to address the dearth of empirical evidence on homelessness in Ireland. This information is presented in three parts. The opening section of this article outlines the methods which were used to collect data on the homeless population in Cork. The findings of this research are outlined in the middle part of the article and where possible compared to the results of other equivalent research which has been carried out in other parts of Ireland and abroad. This section presents evidence on: the numbers of homeless people; their personal characteristics; a socio-economic profile of respondents, their housing history and accommodation preferences. Finally, in the concluding section of the paper, the implications which this research has for the explanations of the causes of homelessness which are most prominent in the international literature and for current policy on the settlement of homeless people in Ireland are outlined

Caption This: Creating Efficiency in Audiovisual Accessibility Using Automatic Speech Recognition Toolkit

In the last several years, there has been a growing awareness of the need for digital accessibility in cultural heritage institutions. While initiatives to make content accessible and equitable for all patrons are vital for the continued growth and effectiveness of these institutions, they are not changes that can be made overnight. Remediating content requires time, knowledge, and effective tools. For many solo or siloed cultural heritage institutions, it can be difficult to commit the resources necessary for remediation. Nevertheless, these institutions will need to dedicate significant amounts of time to increasing accessibility in their digital collections, including audiovisual (A/V) content. For A/V collections, the process of making material accessible to all users is time consuming and labor-intensive. It requires listening to the recording in real time, replaying the recording at different speeds to decipher difficult passages, and writing down every word, pause, and non-verbal communication with a time-stamp to indicate where in the recording the text occurred. Existing models of auto-generating caption files, such as uploading to YouTube, are known to be mediocre and do not remove the need for proofreading. This toolkit is intended to create an easily replicable, low-cost, efficient solution for transcribing and captioning library and archival video content, making A/V remediation feasible for institutions that lack the resources to undertake an in-depth transcription project

LmaPA2G4, a Homolog of Human Ebp1, Is an Essential Gene and Inhibits Cell Proliferation in L. major

We have identified LmaPA2G4, a homolog of the human proliferation-associated 2G4 protein (also termed Ebp1), in aphosphoproteomic screening. Multiple sequence alignment and cluster analysis revealed that LmaPA2G4 is a non-peptidasemember of the M24 family of metallopeptidases. This pseudoenzyme is structurally related to methionine aminopeptidases. Anull mutant system based on negative selection allowed us to demonstrate that LmaPA2G4 is an essential gene inLeishmaniamajor. Over-expression of LmaPA2G4 did not alter cell morphology or the ability to differentiate into metacyclic and amastigotestages. Interestingly, the over-expression affected cell proliferation and virulence in mouse footpad analysis. LmaPA2G4 binds asynthetic double-stranded RNA polyriboinosinic polyribocytidylic acid [poly(I:C)] as shown in an electrophoretic mobility shiftassay (EMSA). Quantitative proteomics revealed that the over-expression of LmaPA2G4 led to accumulation of factors involved intranslation initiation and elongation. Significantly, we found a strong reduction ofde novoprotein biosynthesis in transgenicparasites using a non-radioactive metabolic labeling assay. In conclusion, LmaPA2G4 is an essential gene and is potentiallyimplicated in fundamental biological mechanisms, such as translation, making it an attractive target for therapeutic intervention.Fil: Norris Mullins, Brianna. University Of Notre Dame-Indiana; Estados UnidosFil: VanderKolk, Kaitlin. University Of Notre Dame-Indiana; Estados UnidosFil: Vacchina, Paola. University Of Notre Dame-Indiana; Estados Unidos. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Joyce, Michelle V.. University Of Notre Dame-Indiana; Estados UnidosFil: Morales, Miguel A.. University Of Notre Dame-Indiana; Estados Unido

MARATHON STRIDE RATE DYNAMICS: A CASE STUDY

The purpose of this study was to investigate stride rate (SR) dynamics of a recreational runner participating in his debut marathon. Tibial accelerometry data obtained during a half marathon (R1) and marathon (R2) were utilised. SR data were extracted utilising novel computational methods and descriptive statistics were utilised for analysis of R2, and comparison of the first half of the marathon (R2half) to R1. Results indicate that the participant employed comparable SR strategy in R1 and R2half. For R2 a combined decreasing trend in SR and increased variance in SR from 30 km (R2 =0.0238) was observed. Results indicate that the participant had the ability to maintain SR strategy for the first half of the marathon, however as fatigue onset occurred this ability decreased. Running strategies on SR during fatigue may be of future use to recreational runners

COMPARISON OF ACCELEROMETRY STRIDE TIME CALCULATION METHODS

The purpose of this study was to investigate how a newly proposed method of stride time calculation, utilising data filtered at 2 Hz, compared to previous methods. Tibial accelerometry data for 6 participants completing half marathon running training were collected. One run was selected for each participant at random, from which five consecutive running strides were ascertained. Four calculation methods were employed to derive each stride time and results were compared. No significant difference was found between methods (p=1.00). The absolute difference in stride time, when comparing the proposed method to previous methods, ranged from 0.000 seconds to 0.039 seconds. Filtered data could offer a simplified technique for stride time output during running gait analysis, particularly when applied during automated data processing for large data sets