Social value and its impact through widening participation : a review of four programs working with primary, secondary & higher education students

In 2017 the Office of Widening Participation conducted a program-wide analysis of the Social Return On Investment (SROI) to evaluate the impact of four Widening Participation programs at Western Sydney University (WSU). The programs evaluated were Fast Forward, Strive Towards Educational Participation and Success (STEPS), First Foot Forward, and Pasifika Achievement To Higher Education (PATHE). The overlapping aim amongst the four programs is to increase higher education participation rates, particularly for students coming from low socio-economic backgrounds. The SROI framework provided a holistic analysis by intertwining qualitative and quantitative data. The analysis showed that each program—albeit with differences—produced a collection of positive outcomes, and made important progressions to increasing and widening participation for “non-traditional” students. This is verified by the SROI ratio which is represented as a return, for every dollar invested—the combined four programs equated to an average return of $5.78 for every$1 invested

Effects of drainage conditions on the triaxial compression behavior of unsaturated soil

A market paradigm shift towards a ‘knowledge-based economy’ means Australia is moving towards a major skills crisis whereby the workface will lack skills attainable from higher education. Moreover, those from low socio-economic backgrounds, and who are confronted with disadvantage, still face challenges in gaining entry to university. The Fast Forward Program (FFP) aims to increase attainment of higher education for X high school students in years 9–12, with a focus on dismantling the social barriers preventing attainment. To achieve this aim, the program hosts a range of student and parent in-school workshops and on-campus visits. To capture the social impact of the program for all participants, the social return on investment (SROI) methodology was implemented. The SROI ratio is represented as a return in dollar value for every dollar invested; due to the success of the program, the investment represented $5.73 for every$1 spent. The key findings indicated that students and parents gained a deeper familiarity and understanding of university which, in turn, created a deeper confidence and motivation for students to enter higher education. Additionally, participants reported being able to better use their time to cater for study, and were more comfortable about going onto a university campus

Individual-Based Measure of Socio-Economic Disadvantage: Making Identification "Agile"

This project aimed to develop an individual-based measure of socio-economic disadvantage that can assist Australian universities to identify socio-economic disadvantage at the level of the individual student. A mixed-methods design was used. Phase 1 comprised an online questionnaire distributed to staff working in the area of widening participation and student support at each of the 42 universities in Australia (n = 256) and an online questionnaire for undergraduate students at three universities (one a member of the Group of Eight and the other two members of the Innovative Research Universities group – one a multi-campus metropolitan university and one a rural university) (n = 4,114). In Phase 2, five focus groups were conducted with staff and six with students to further explore the issues raised in Phase 1. Phase 3 consisted of a desk audit of university websites to provide data on the information publicly available to students experiencing socio-economic disadvantage. In the final phase, Phase 4, a possible approach to measuring disadvantage was evaluated through its presentation to students at two universities which had been part of Phase 1 (n = 91). The following factors were found to be indicators of socio-economic disadvantage. Whether the student: provides financially for their family; is the first in family to attend university; is experiencing financial hardship; and/or is in receipt of Youth Allowance, Austudy or ABSTUDY during Years 11 and/or 12 (or another Centrelink income and asset-tested entitlement) for a period of at least three months during Years 11 and/or 12 or equivalent. These were found to be questions that students were willing to answer and which would lead to effective and efficient identification

On identity: Contemporary music research in the Asia-Pacific region. Introduction

Anthropology, as the study of human societies, has always been inclusive of music in some form or another, whether simply referencing a culture’s music through evocative book titles or delving in detail into musical forms and performances themselves. Music is acknowledged as a gateway to understanding a people’s experience*in particular song, which gives voice to human expression not always possible in everyday language. From another angle, music research has increasingly engaged with anthropology and this has occurred most notably in the development of the discipline of ethnomusicology, which grew from comparative musicology, and the publication of one of its key texts, Alan Merriam’s The Anthropology of Music(1964). This issue of The Asia Pacific Journal of Anthropology(TAPJA) contributes with a special focus on contemporary music research in the Asia Pacific region

Towards the development of a simulator for investigating the impact of people management practices on retail performance

               \ud           \ud 

Evaluation of clustering algorithms for protein-protein interaction networks

BACKGROUND: Protein interactions are crucial components of all cellular processes. Recently, high-throughput methods have been developed to obtain a global description of the interactome (the whole network of protein interactions for a given organism). In 2002, the yeast interactome was estimated to contain up to 80,000 potential interactions. This estimate is based on the integration of data sets obtained by various methods (mass spectrometry, two-hybrid methods, genetic studies). High-throughput methods are known, however, to yield a non-negligible rate of false positives, and to miss a fraction of existing interactions. The interactome can be represented as a graph where nodes correspond with proteins and edges with pairwise interactions. In recent years clustering methods have been developed and applied in order to extract relevant modules from such graphs. These algorithms require the specification of parameters that may drastically affect the results. In this paper we present a comparative assessment of four algorithms: Markov Clustering (MCL), Restricted Neighborhood Search Clustering (RNSC), Super Paramagnetic Clustering (SPC), and Molecular Complex Detection (MCODE). RESULTS: A test graph was built on the basis of 220 complexes annotated in the MIPS database. To evaluate the robustness to false positives and false negatives, we derived 41 altered graphs by randomly removing edges from or adding edges to the test graph in various proportions. Each clustering algorithm was applied to these graphs with various parameter settings, and the clusters were compared with the annotated complexes. We analyzed the sensitivity of the algorithms to the parameters and determined their optimal parameter values. We also evaluated their robustness to alterations of the test graph. We then applied the four algorithms to six graphs obtained from high-throughput experiments and compared the resulting clusters with the annotated complexes. CONCLUSION: This analysis shows that MCL is remarkably robust to graph alterations. In the tests of robustness, RNSC is more sensitive to edge deletion but less sensitive to the use of suboptimal parameter values. The other two algorithms are clearly weaker under most conditions. The analysis of high-throughput data supports the superiority of MCL for the extraction of complexes from interaction networks

On the relevance of preprocessing in predictive maintenance for dynamic systems

The complexity involved in the process of real-time data-driven monitoring dynamic systems for predicted maintenance is usually huge. With more or less in-depth any data-driven approach is sensitive to data preprocessing, understood as any data treatment prior to the application of the monitoring model, being sometimes crucial for the final development of the employed monitoring technique. The aim of this work is to quantify the sensitiveness of data-driven predictive maintenance models in dynamic systems in an exhaustive way. We consider a couple of predictive maintenance scenarios, each of them defined by some public available data. For each scenario, we consider its properties and apply several techniques for each of the successive preprocessing steps, e.g. data cleaning, missing values treatment, outlier detection, feature selection, or imbalance compensation. The pretreatment configurations, i.e. sequential combinations of techniques from different preprocessing steps, are considered together with different monitoring approaches, in order to determine the relevance of data preprocessing for predictive maintenance in dynamical systems

Development and validation of a simplified algorithm for neonatal gestational age assessment - protocol for the Alliance for Maternal Newborn Health Improvement (AMANHI) prospective cohort study.

OBJECTIVE: The objective of the Alliance for Maternal and Newborn Health Improvement (AMANHI) gestational age study is to develop and validate a programmatically feasible and simple approach to accurately assess gestational age of babies after they are born. The study will provide accurate, population-based rates of preterm birth in different settings and quantify the risks of neonatal mortality and morbidity by gestational age and birth weight in five South Asian and sub-Saharan African sites. METHODS: This study used on-going population-based cohort studies to recruit pregnant women early in pregnancy (<20 weeks) for a dating ultrasound scan. Implementation is harmonised across sites in Ghana, Tanzania, Zambia, Bangladesh and Pakistan with uniform protocols and standard operating procedures. Women whose pregnancies are confirmed to be between 8 to 19 completed weeks of gestation are enrolled into the study. These women are followed up to collect socio-demographic and morbidity data during the pregnancy. When they deliver, trained research assistants visit women within 72 hours to assess the baby for gestational maturity. They assess for neuromuscular and physical characteristics selected from the Ballard and Dubowitz maturation assessment scales. They also measure newborn anthropometry and assess feeding maturity of the babies. Computer machine learning techniques will be used to identify the most parsimonious group of signs that correctly predict gestational age compared to the early ultrasound date (the gold standard). This gestational age will be used to categorize babies into term, late preterm and early preterm groups. Further, the ultrasound-based gestational age will be used to calculate population-based rates of preterm birth. IMPORTANCE OF THE STUDY: The AMANHI gestational age study will make substantial contribution to improve identification of preterm babies by frontline health workers in low- and middle- income countries using simple evaluations. The study will provide accurate preterm birth estimates. This new information will be crucial to planning and delivery of interventions for improving preterm birth outcomes, particularly in South Asia and sub-Saharan Africa

The Changing Landscape for Stroke\ua0Prevention in AF: Findings From the GLORIA-AF Registry Phase 2

Background GLORIA-AF (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation) is a prospective, global registry program describing antithrombotic treatment patterns in patients with newly diagnosed nonvalvular atrial fibrillation at risk of stroke. Phase 2 began when dabigatran, the first non\u2013vitamin K antagonist oral anticoagulant (NOAC), became available. Objectives This study sought to describe phase 2 baseline data and compare these with the pre-NOAC era collected during phase&nbsp;1. Methods During phase 2, 15,641 consenting patients were enrolled (November 2011 to December 2014); 15,092 were eligible. This pre-specified cross-sectional analysis describes eligible patients\u2019 baseline characteristics. Atrial fibrillation&nbsp;disease characteristics, medical outcomes, and concomitant diseases and medications were collected. Data were analyzed using descriptive statistics. Results Of the total patients, 45.5% were female; median age was 71 (interquartile range: 64, 78) years. Patients were from Europe (47.1%), North America (22.5%), Asia (20.3%), Latin America (6.0%), and the Middle East/Africa (4.0%). Most had high stroke risk (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age&nbsp; 6575 years, Diabetes mellitus, previous Stroke, Vascular disease, Age 65 to 74 years, Sex category] score&nbsp; 652; 86.1%); 13.9% had moderate risk (CHA2DS2-VASc&nbsp;= 1). Overall, 79.9% received oral anticoagulants, of whom 47.6% received NOAC and 32.3% vitamin K antagonists (VKA); 12.1% received antiplatelet agents; 7.8% received no antithrombotic treatment. For comparison, the proportion of phase 1 patients (of N&nbsp;= 1,063 all eligible) prescribed VKA was 32.8%, acetylsalicylic acid 41.7%, and no therapy 20.2%. In Europe in phase 2, treatment with NOAC was more common than VKA (52.3% and 37.8%, respectively); 6.0% of patients received antiplatelet treatment; and 3.8% received no antithrombotic treatment. In North America, 52.1%, 26.2%, and 14.0% of patients received NOAC, VKA, and antiplatelet drugs, respectively; 7.5% received no antithrombotic treatment. NOAC use was less common in Asia (27.7%), where 27.5% of patients received VKA, 25.0% antiplatelet drugs, and 19.8% no antithrombotic treatment. Conclusions The baseline data from GLORIA-AF phase 2 demonstrate that in newly diagnosed nonvalvular atrial fibrillation patients, NOAC have been highly adopted into practice, becoming more frequently prescribed than VKA in&nbsp;Europe and North America. Worldwide, however, a large proportion of patients remain undertreated, particularly in&nbsp;Asia&nbsp;and North America. (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation [GLORIA-AF]; NCT01468701