Upgrading School Buildings in Mexico with Social Participation: The Better Schools Programme

This review of Mexico’s Better Schools Programme was conducted in 2012 by the OECD Centre for Effective Learning Environments (CELE). In 2008, the federal government created the Programme to repair and improve the physical infrastructure of schools for basic education throughout Mexico. A key characteristic of the programme is social participation and the engagement of the each school community. The review team’s recommendations offer lessons to all governments investing in educational infrastructure to improve the quality of education

The Joint Vienna Institute

"How does the intellectual role played by international training organisations fit into the contemporary architecture of global governance? The international diffusion of economic policy ideas represents one of the core dimensions of contemporary global governance, which has generated heated controversy in recent years with international institutions such as the International Monetary Fund (IMF) and the World Bank castigated for championing a ‘one-size-fits-all’ brand of neoliberal economic reform. Yet while substantial scholarly attention has focused on analysing the effects of the formal compliance mechanisms that the IMF and the World Bank rely on to implement neoliberal policy changes in borrowing countries, such as loan conditionality, less attention has been devoted to exploring the intermediate avenues through which neoliberal ideas travel from global governance institutions to national governance contexts. This article aims to address this gap in the study of contemporary global governance and neoliberal policy diffusion through critically examining the evolving role of the Joint Vienna Institute (JVI), an international training organisation set up after the end of the Cold War to transmit global ‘best practice’ economic policy ideas to national officials in post-communist economies.

TELLUS: A combined surface temperature, soil moisture and evaporation mapping approach

There are no author-identified significant results in this report

Modernising Secondary School Buildings in Portugal

The quality of school buildings is critically important in the drive for improving education. Good quality facilities provide teachers and students with supportive environments which are responsive to their changing needs and can make a real difference to learning and teaching. This report is a review of the Portuguese Secondary School Building Modernisation Programme (SMP), a major programme to rehabilitate the secondary schools in Portugal

An exactly solvable coarse-grained model for species diversity

We present novel analytical results about ecosystem species diversity that stem from a proposed coarse grained neutral model based on birth-death processes. The relevance of the problem lies in the urgency for understanding and synthesizing both theoretical results of ecological neutral theory and empirical evidence on species diversity preservation. Neutral model of biodiversity deals with ecosystems in the same trophic level where per-capita vital rates are assumed to be species-independent. Close-form analytical solutions for neutral theory are obtained within a coarse-grained model, where the only input is the species persistence time distribution. Our results pertain: the probability distribution function of the number of species in the ecosystem both in transient and stationary states; the n-points connected time correlation function; and the survival probability, definned as the distribution of time-spans to local extinction for a species randomly sampled from the community. Analytical predictions are also tested on empirical data from a estuarine fish ecosystem. We find that emerging properties of the ecosystem are very robust and do not depend on specific details of the model, with implications on biodiversity and conservation biology.Comment: 20 pages, 4 figures. To appear in Journal of Statistichal Mechanic

A Cone Jet-Finding Algorithm for Heavy-Ion Collisions at LHC Energies

Standard jet finding techniques used in elementary particle collisions have not been successful in the high track density of heavy-ion collisions. This paper describes a modified cone-type jet finding algorithm developed for the complex environment of heavy-ion collisions. The primary modification to the algorithm is the evaluation and subtraction of the large background energy, arising from uncorrelated soft hadrons, in each collision. A detailed analysis of the background energy and its event-by-event fluctuations has been performed on simulated data, and a method developed to estimate the background energy inside the jet cone from the measured energy outside the cone on an event-by-event basis. The algorithm has been tested using Monte-Carlo simulations of Pb+Pb collisions at $\sqrt{s}=5.5$ TeV for the ALICE detector at the LHC. The algorithm can reconstruct jets with a transverse energy of 50 GeV and above with an energy resolution of $\sim30$.Comment: 13 pages, 7 figure

Influence on Learning Efficiency from natural light in Educational Environment

This paper presents preliminary research outcomes from applying EEG Mind Wave Mapping methodology for investigating the impacts of learning environment on students' concentration and learning performance under different lighting conditions. During the learning process, whether students remain attentive generally influences their learning efficacy. Literature shows that classroom lighting may be important for pupils' academic performance. However, most of the time, lighting could not be adequately controlled due to the given building envelope design and the spatial layout. The present study explores the influence of different lighting conditions in a conditioned room on architectural students' mind wave when they were engaging in a learning task. Lighting scenarios included naturally lit, artificially lit and hybrid mode set in this room were experimented and the test scores of the learning tasks under these scenarios were compared against mind wave mapping results . The preliminary findings from this study showed that students’ performance in a natural daylit and hybrid lit room shows higher concentration than that in the artificially lit room, as a result, the use of natural light in the learning environment is more desirable and this can have significant benefit for reducing energy demands from artificial lighting in educational spaces

A cohort study of influences, health outcomes and costs of patients' health-seeking behaviour for minor ailments from primary and emergency care settings

To compare health-related and cost-related outcomes of consultations for symptoms suggestive of minor ailments in emergency departments (EDs), general practices and community pharmacies

Expression of RUNX1 correlates with poor patient prognosis in triple negative breast cancer

The RUNX1 transcription factor is widely recognised for its tumour suppressor effects in leukaemia. Recently a putative link to breast cancer has started to emerge, however the function of RUNX1 in breast cancer is still unknown. To investigate if RUNX1 expression was important to clinical outcome in primary breast tumours a tissue microarray (TMA) containing biopsies from 483 patients with primary operable invasive ductal breast cancer was stained by immunohistochemistry. RUNX1 was associated with progesterone receptor (PR)-positive tumours (P<0.05), more tumour CD4+(P<0.05) and CD8+(P<0.01) T-lymphocytic infiltrate, increased tumour CD138+plasma cell (P<0.01) and more CD68+macrophage infiltrate (P<0.001). RUNX1 expression did not influence outcome of oestrogen receptor (ER)-positive or HER2-positive disease, however on univariate analysis a high RUNX1 protein was significantly associated with poorer cancer-specific survival in patients with ER-negative (P<0.05) and with triple negative (TN) invasive breast cancer (P<0.05). Furthermore, multivariate Cox regression analysis of cancer-specific survival showed a trend towards significance in ER-negative patients (P<0.1) and was significant in triple negative patients (P<0.05). Of relevance, triple negative breast cancer currently lacks good biomarkers and patients with this subtype do not benefit from the option of targeted therapy unlike patients with ER-positive or HER2-positive disease. Using multivariate analysis RUNX1 was identified as an independent prognostic marker in the triple negative subgroup. Overall, our study identifies RUNX1 as a new prognostic indicator correlating with poor prognosis specifically in the triple negative subtype of human breast cancer