What UK graduate employers think they want and what university business schools think they provide

This is tha authors' PDF version of an article published in International Journal of Management Concepts and Philosophy© 2009. The definitive version is available at www.inderscience.comThis paper evaluates the increasing focus on the development of students' competencies and skills for management, in university business schools. The debate suggests that deeper understandings, concerning the role of managers are being sacrificed at the hands of an instrumentalist/technicist agenda focusing on competencies and skills. The paper adds to the discussion by scrutinising and applying theory from the literatures of occupational practice, knowledge and learning. Data is presented from sixty four job advertisements stipulating the competencies and skills required of applicants and which illustrate the premium put upon personal practice knowledge. By taking a critical management perspective students can begin to understand the social context and power-based nature of management practice in the workplace. While universities may try to further fulfil the 'narrow', industry-led, competency focus, early indications suggest that universities may possess a good deal of freedom in designing pedagogies supportive of a critical agenda

Transitional Justice and the Truth Commission in Nepal

The purpose of this project is to explore the role of transitional justice mechanisms in directing the peace process, constitution making, and power sharing in Nepal. For more than ten years Nepal experienced violent conflict between the national army and an insurgent political movement led by the Communist Party of Nepal-Maoist. The conflict claimed more than 13,000 lives and was characterized by widespread cases of disappearance. The families of those who were abducted or killed without a trace remain without answers, and the call for a Truth and Reconciliation Commission to document past injustices is strong. In March 2012, I travelled to Nepal with URI’s Center for Nonviolence and Peace Studies to participate in a cross-cultural nonviolence training with Nepali human rights advocates, social workers and graduate students. I conducted interviews with the participants and administered a survey to discern the underlying social causes of the violence that occurred from 1996-2006 and to identify the social institutions that allowed the violence to continue for so long. The survey aimed to evaluate the role of the international community and to answer the question of how to confront the violent events of the past without threatening national unity. Here I present a report on the results of this survey, critically evaluate the strengths and limitations of Nepal’s Truth and Reconciliation Commission proposed framework, and attempt to answer how a Truth and Reconciliation Commission will move Nepal towards a more democratic, peaceful, just and equitable nation

One-sample aggregate data meta-analysis of medians

An aggregate data meta-analysis is a statistical method that pools the summary statistics of several selected studies to estimate the outcome of interest. When considering a continuous outcome, typically each study must report the same measure of the outcome variable and its spread (e.g., the sample mean and its standard error). However, some studies may instead report the median along with various measures of spread. Recently, the task of incorporating medians in meta-analysis has been achieved by estimating the sample mean and its standard error from each study that reports a median in order to meta-analyze the means. In this paper, we propose two alternative approaches to meta-analyze data that instead rely on medians. We systematically compare these approaches via simulation study to each other and to methods that transform the study-specific medians and spread into sample means and their standard errors. We demonstrate that the proposed median-based approaches perform better than the transformation-based approaches, especially when applied to skewed data and data with high inter-study variance. In addition, when meta-analyzing data that consists of medians, we show that the median-based approaches perform considerably better than or comparably to the best-case scenario for a transformation approach: conducting a meta-analysis using the actual sample mean and standard error of the mean of each study. Finally, we illustrate these approaches in a meta-analysis of patient delay in tuberculosis diagnosis

Living with young onset dementia: Reflections on recent developments, current discourse, and implications for policy and practice

© The Author(s) 2020. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.Recent research on young onset dementia (formal diagnosis at age <65) evidences emerging work around pre-diagnosis, diagnosis and the need to improve post-diagnostic support for this group. An increased awareness of young onset dementia has led to the establishment of peer-support groups, support networks and the involvement of people affected by dementia in research. However, the need to join up services at the systems level persists. Third-sector organisations that offer post-diagnostic support at the communitylevel rely heavily on volunteers. Implications for policy and practice are that community-based commissioning of integrated services between health care, social care and the third sector would go a long way to providing the continuity and stability required in dementia support and care along the illness trajectory. This discussion document was written in collaboration with diagnostic services, the charity sector and conversations with people living with, and affected by, dementia.Peer reviewedFinal Published versio

Computational prediction of L_{3} EXAFS spectra of gold nanoparticles from classical molecular dynamics simulations

We present a computational approach for the simulation of extended x-ray absorption fine structure (EXAFS) spectra of nanoparticles directly from molecular dynamics simulations without fitting any of the structural parameters of the nanoparticle to experimental data. The calculation consists of two stages. First, a molecular dynamics simulation of the nanoparticle is performed and then the EXAFS spectrum is computed from “snapshots” of structures extracted from the simulation. A probability distribution function approach calculated directly from the molecular dynamics simulations is used to ensure a balanced sampling of photoabsorbing atoms and their surrounding scattering atoms while keeping the number of EXAFS calculations that need to be performed to a manageable level. The average spectrum from all configurations and photoabsorbing atoms is computed as an Au L3-edge EXAFS spectrum with the FEFF 8.4 package, which includes the self-consistent calculation of atomic potentials. We validate and apply this approach in simulations of EXAFS spectra of gold nanoparticles with sizes between 20 and 60 Å. We investigate the effect of size, structural anisotropy, and thermal motion on the gold nanoparticle EXAFS spectra and we find that our simulations closely reproduce the experimentally determined spectra

Estimating the sample mean and standard deviation from commonly reported quantiles in meta-analysis

Researchers increasingly use meta-analysis to synthesize the results of several studies in order to estimate a common effect. When the outcome variable is continuous, standard meta-analytic approaches assume that the primary studies report the sample mean and standard deviation of the outcome. However, when the outcome is skewed, authors sometimes summarize the data by reporting the sample median and one or both of (i) the minimum and maximum values and (ii) the first and third quartiles, but do not report the mean or standard deviation. To include these studies in meta-analysis, several methods have been developed to estimate the sample mean and standard deviation from the reported summary data. A major limitation of these widely used methods is that they assume that the outcome distribution is normal, which is unlikely to be tenable for studies reporting medians. We propose two novel approaches to estimate the sample mean and standard deviation when data are suspected to be non-normal. Our simulation results and empirical assessments show that the proposed methods often perform better than the existing methods when applied to non-normal data

Coherence and Collaboration in Teacher Education Reform

Traditional teacher education programs, frequently criticized for ineffectiveness, are changing at several Canadian universities. A range of literature on reform in teacher education suggests that coherence among program elements and collaborative environments are key features of successful reforms. Using a framework of critical analysis, we examined shortcomings of traditional programs and considered some characteristics of alternative approaches, including authorizing prospective teachers’ voices and experiences, school-university collaboration, and scaffolded induction into the profession. Without direct attention to coherence in program design and delivery and collaboration among stakeholders, reform efforts seem unlikely to succeed. L’étude analyse les lacunes des programmes traditionnels de formation à l’enseignement et se penche sur certaines caractéristiques des nouvelles approches, dont la prise en compte des opinions et expériences des enseignants en formation, la collaboration entre l’université et l’école et l’encadrement des nouveaux enseignants durant leur période de probation. La cohérence entre la conception et la prestation des programmes et la collaboration entre les intéressés sont essentiels pour le succès des efforts de réforme.

Fitting EXAFS data using molecular dynamics outputs and a histogram approach

The estimation of metal nanoparticle diameter by analysis of extended x-ray absorption fine structure (EXAFS) data from coordination numbers is nontrivial, particularly for particles &lt;5 nm in diameter, for which the undercoordination of surface atoms becomes an increasingly significant contribution to the average coordination number. These undercoordinated atoms have increased degrees of freedom over those within the core of the particle, which results in an increase in the degree of structural disorder with decreasing particle size. This increase in disorder, however, is not accounted for by the standard means of EXAFS analysis, where each coordination shell is fitted with a single bond length and disorder term. In addition, the surface atoms of nanoparticles have been observed to undergo a greater contraction than those in the core, further increasing the range of bond distances. Failure to account for this structural change results in an increased disorder being measured, and therefore, a lower apparent coordination number and corresponding particle size are found. Here, we employ molecular dynamics (MD) simulations for a range of nanoparticle sizes to determine each of the nearest neighbor bond lengths, which were then binned into a histogram to construct a radial distribution function (RDF). Each bin from the histogram was considered to be a single scattering path and subsequently used in fitting the EXAFS data obtained for a series of carbon-supported platinum nanoparticles. These MD-based fits are compared with those obtained using a standard fitting model using Artemis and the standard model with the inclusion of higher cumulants, which has previously been used to account for the non-Gaussian distribution of neighboring atoms around the absorber. The results from all three fitting methods were converted to particle sizes and compared with those obtained from transmission electron microscopy (TEM) and x-ray diffraction (XRD) measurements. We find that the use of molecular dynamics simulations resulted in an improved fit over both the standard and cumulant models, in terms of both quality of fit and correlation with the known average particle size

Life Satisfaction and Gender Congruence in Transgender Individuals: A Role for Occupational Therapy.

Societal restrictions impact transgender individuals' ability to engage in occupations that match their internal gender identity preventing gender affirmation. The aim was to explore transgender individuals' perceived levels of gender congruence and life satisfaction. A cross-sectional survey with a nonprobability sample of transgender adults was used to provide a preliminary exploration of transgender individuals' gender congruence and life satisfaction using the Gender Congruence and Life Satisfaction and World Health Organization Quality of Life-BREF. When comparing the means of the physical, psychological, social, and environmental domains to the population norm, the respondents demonstrated statistically lower scores in all four domains of the WHOQOL-BREF. In both the WHOQOL-BREF and GCLS, the mean score in psychological health and life satisfaction were the lowest. Transgender individuals prioritize self-care activities, such as hairstyling, and body image to affirm internal gender identity. Occupational therapy can assist with supporting gender transition in several occupational contexts