Translating Values:Evaluative Concepts in Translation

This collection explores the central importance of values and evaluative concepts in cross-cultural translational encounters. Written by a group of international scholars from a diverse range of linguistic and cultural backgrounds, the chapters in this book consider what it means to translate cultures by examining core values and their relationship to key evaluative concepts (such as authenticity, clarity, home, honour, or justice) and how they influence the complex multidimensional process of translation. This book will be of interest to academics studying cross-cultural and inter-linguistic interactions, to translators and interpreters, students of translation and of modern languages, and all those dealing with multilingual and multicultural settings.

Knowledge Transfer in Quadruple Helix Ecosystems: An Absorptive Capacity Perspective

Increased understanding of knowledge transfer (KT) from universities to the wider regional knowledge ecosystem offers opportunities for increased regional innovation and commercialisation. The aim of this article is to improve the understanding of the KT phenomena in an open innovation context where multiple diverse quadruple helix stakeholders are interacting. An absorptive capacity-based conceptual framework is proposed, using a priori constructs which portrays the multidimensional process of KT between universities and its constituent stakeholders in pursuit of open innovation and commercialisation. Given the lack of overarching theory in the field, an exploratory, inductive theory building methodology was adopted using semi-structured interviews, document analysis and longitudinal observation data over a three-year period. The findings identify five factors, namely human centric factors, organisational factors, knowledge characteristics, power relationships and network characteristics, which mediate both the ability of stakeholders to engage in KT and the effectiveness of knowledge acquisition, assimilation, transformation and exploitation. This research has implications for policy makers and practitioners by identifying the need to implement interventions to overcome the barriers to KT effectiveness between regional quadruple helix stakeholders within an open innovation ecosystem.

Self-consistent modelling of line-driven hot-star winds with Monte Carlo radiation hydrodynamics

Radiative pressure exerted by line interactions is a prominent driver of outflows in astrophysical systems, being at work in the outflows emerging from hot stars or from the accretion discs of cataclysmic variables, massive young stars and active galactic nuclei. In this work, a new radiation hydrodynamical approach to model line-driven hot-star winds is presented. By coupling a Monte Carlo radiative transfer scheme with a finite volume fluid dynamical method, line-driven mass outflows may be modelled self-consistently, benefiting from the advantages of Monte Carlo techniques in treating multiline effects, such as multiple scatterings, and in dealing with arbitrary multidimensional configurations. In this work, we introduce our approach in detail by highlighting the key numerical techniques and verifying their operation in a number of simplified applications, specifically in a series of self-consistent, one-dimensional, Sobolev-type, hot-star wind calculations. The utility and accuracy of our approach are demonstrated by comparing the obtained results with the predictions of various formulations of the so-called CAK theory and by confronting the calculations with modern sophisticated techniques of predicting the wind structure. Using these calculations, we also point out some useful diagnostic capabilities our approach provides. Finally, we discuss some of the current limitations of our method, some possible extensions and potential future applications.

Fast Rule Mining over Multi-dimensional Windows

Association rule mining is an indispensable tool for discovering
insights from large databases and data warehouses.
The data in a warehouse being multi-dimensional, it is often
useful to mine rules over subsets of data defined by selections
over the dimensions. Such interactive rule mining
over multi-dimensional query windows is difficult since rule
mining is computationally expensive. Current methods using
pre-computation of frequent itemsets require counting
of some itemsets by revisiting the transaction database at
query time, which is very expensive. We develop a method
(RMW) that identifies the minimal set of itemsets to compute
and store for each cell, so that rule mining over any
query window may be performed without going back to the
transaction database. We give formal proofs that the set of
itemsets chosen by RMW is sufficient to answer any query
and also prove that it is the optimal set to be computed
for 1 dimensional queries. We demonstrate through an extensive
empirical evaluation that RMW achieves extremely
fast query response time compared to existing methods, with
only moderate overhead in pre-computation and storage

Supporting Creative, Whole Peacebuilders: An Apprenticeship Program

This chapter has two major sections, one by Lederach and the apprentices, and one by Goldberg. The introduction above represents an amalgam of Lederach’s own writing and Goldberg’s, which summarizes some key information, but loses in written flow what it gains in information. As Goldberg reviewed Lederach’s initial chapter, she became deeply interested and asked Lederach for further materials. She conducted two interviews and collected background and supplementary materials and used them to explore some areas that were touched on by Lederach, but, if expanded, offered greater richness. In order to preserve the clarity of writing, the material will be presented in two sections. The first will include Lederach’s original chapter with the apprentice narratives. We start with an overview provided by John Paul that describes several practices incorporated into the process of the past three years. Each of the four apprentices will then reflect on how they experienced these practices and the impact, if any, they have had on their lives and professional careers. Each segment written by Lederach and the apprentices is written in the first person, starting with Lederach’s practices, below. Following will be Goldberg’s work deepening the information presented in Lederach’s section, and the conclusion.

Stress and coping in parents of newly born twins

Objective: Research indicates that parents of twins have poorer psychosocial outcomes than parents of singletons. Parents who have conceived using assisted reproductive technology (ART) have been found to be at higher risk of negative psychosocial outcomes compared to parents who have conceived spontaneously. The current study aimed to model the factors associated with parenting stress of newly-born twins, using the Transactional Model of Stress.

Methods: Data were collected using a cross-sectional survey design with participants identified from delivery records across Northern Ireland. Mothers and fathers (n = 104) of twins aged between 1 and 12 months old returned a questionnaire pack containing the Parenting Stress Index, Impact on the Family Scale-Financial Burden, Coping Orientation to Problems Experienced – Brief Version, Multidimensional Scale of Perceived Social Support, General Health Questionnaire and a demographic questionnaire.

Results: There were no differences on psychological outcomes between parents who had conceived via ART and those who conceived spontaneously. Regression analyses found that social interaction and support is an important variable in terms of the psychological outcomes experienced by parents of twins.

Conclusion: Parents of newly-born twins regardless of the mode of conception should be considered an at risk group for parental distress. Support groups such as the Twins and Multiple Births Association could be important in providing that crucial social interaction and support that seems to be important in the emotional well-being of parents of twins.