5,984 research outputs found
Decentralization and Access to Social Services in Colombia
A central claim in favor of decentralization is that it will improve access to public services, but few studies examine this question empirically. This paper explores the effects of decentralization on access to health and education in Colombia. We benefit from an original database that includes over 95% of Colombian municipalities. Our results show that decentralization improved enrollment rates in public schools and access of the poor to public health services. In both sectors, improving access was driven by the financial contributions of local governments. Our theoretical findings imply that local governments with better information about local preferences will concentrate their resources in the areas their voters care about most. The combination of empirical and theoretical results implies that decentralization provides local officials with the information and incentives they need to allocate resources in a manner responsive to voters´ needs, and improve the quality of expenditures so as to maximize their impact. The end result is greater usage of local services by citizens.decentralization, education, health, public investment, Colombia, localgovernment.
Nucleic acids enrichment of fungal pathogens to study host-pathogen interactions
Fungal infections, ranging from superficial to life-threatening infections, represent a major public health problem that affects 25% of the worldwide population. In this context, the study of host-pathogen interactions within the host is crucial to advance antifungal therapy. However, since fungal cells are usually outnumbered by host cells, the fungal transcriptome frequently remains uncovered. We compared three different methods to selectively lyse human cells from in vitro mixes, composed of Candida cells and peripheral blood mononuclear cells. In order to prevent transcriptional modification, the mixes were stored in RNAlater. We evaluated the enrichment of fungal cells through cell counting using microscopy and aimed to further enrich fungal nucleic acids by centrifugation and by reducing contaminant nucleic acids from the host. We verified the enrichment of fungal DNA and RNA through qPCR and RT-qPCR respectively and confirmed that the resulting RNA has high integrity scores, suitable for downstream applications. The enrichment method provided here, i.e., lysis with Buffer RLT followed by centrifugation, may contribute to increase the proportion of nucleic acids from fungi in clinical samples, thus promoting more comprehensive analysis of fungal transcriptional profiles. Although we focused on C. albicans, the enrichment may be applicable to other fungal pathogens
Impacts of fuel consumption taxes on mobility patterns and CO2 emissions using a system dynamic approach
Current transport behaviour leads to increasing congestion of the infrastructure, growing dependence on fossil fuels, increasing energy demand, and growing CO2 emissions. Policies based principally on increasing system speed and in particular car speeds will lead to greater urban sprawl with increases in average trip lengths. Time saved by speed increases are traded for more distance. This trend is not sustainable in the longer term. Transport policies based just on time savings for citizens may not be the basis for our city planning strategy. The same happens with transport cost. With underpriced transport, the market undervalues land use location, which again may lead city to sprawl and could induce greater trip lengths. In this study, the efficiency of a fuel consumption or CO2 tax policy is analysed as a policy to internalise externalities of transport in a fair travel cost. Based on system dynamics theory, an integrated land use and transport model is proposed in order to assess the effects and impacts of such policy in the short, medium and long term. Different scenarios related to clean vehicles are incorporated. This model is applied to three cities Madrid, Vienna and Leeds and compares their results
The Case of Ty Jackson: An Interactive Module on LGBT Health Employing Introspective Techniques and Video-Based Case Discussion
Introduction:
The Institute of Medicine's 2011 report on lesbian, gay, bisexual, and transgender (LGBT) health and the legalization of same-sex marriage are just two of the numerous milestones that have hastened medical schools' efforts to prepare trainees to address the needs of LGBT community members. Early awareness of sexual diversity through self- and peer introspection and video-based education can help trainees build a foundation towards providing affirming care to LGBT patients.
Methods:
The Kern model was used to develop, implement, and evaluate an interactive multimodal workshop to provide first-year medical students with a formative introduction to LGBT health. Learning objectives focused on comprehending the spectrum of human sexuality, health issues for LGBT patients, and better practices for promoting affirming care. The module consisted of a PowerPoint presentation, sexuality survey, videos of provider-patient encounters, and community-based resources.
Results:
The workshop was implemented among 178 first-year medical students in September 2018, with 93% completing the pre-/postworkshop evaluations. Comparison of evaluations showed an increase in confidence in addressing each of the three learning objectives. Over 85% rated the PowerPoint and videos as very good or excellent.
Discussion:
This workshop was effective in helping first-year medical students appreciate the spectrum of sexual diversity, health issues facing LGBT individuals, and better practices to promote affirming care. The real-time sexuality survey helped trainees appreciate sexual diversity through self-reflection and near-peer sharing. The videos and accompanying discussion provided real-life encounters, along with common pitfalls in and pearls for communicating with LGBT patients
What makes the difference? Analysing the regional component of the influence of university's structural configuration on its performance
There is an increasing interest in the analysis of how universities should maximise their specific regional contribution alongside their traditional teaching and research goals. However, due to the institutional heterogeneity it is necessary to understand the process by which universities create regional benefits, specifically on the creation of third mission outputs, and the extent to which internal institutional configuration affects the production of these benefits. To cover this gap, this study focus on the UK Higher Education sector and investigates the role played by four elements of the universities’ structural configuration, namely steering core, administrative machinery, internal coupling and academic heartland, affect institutional performance in two different university models: the entrepreneurial university and the regional innovation system university mode
PROFET: modeling system performance and energy without simulating the CPU
The approaching end of DRAM scaling and expansion of emerging memory technologies is motivating a lot of research in future memory systems. Novel memory systems are typically explored by hardware simulators that are slow and often have a simplified or obsolete abstraction of the CPU. This study presents PROFET, an analytical model that predicts how an application's performance and energy consumption changes when it is executed on different memory systems. The model is based on instrumentation of an application execution on actual hardware, so it already takes into account CPU microarchitectural details such as the data prefetcher and out-of-order engine. PROFET is evaluated on two real platforms: Sandy Bridge-EP E5-2670 and Knights Landing Xeon Phi platforms with various memory configurations. The evaluation results show that PROFET's predictions are accurate, typically with only 2% difference from the values measured on actual hardware. We release the PROFET source code and all input data required for memory system and application profiling. The released package can be seamlessly installed and used on high-end Intel platforms.Peer ReviewedPostprint (author's final draft
Revisiting the Impact of Atmospheric Dispersion and Differential Refraction on Widefield Multiobject Spectroscopic Observations. From VLT/VIMOS to Next Generation Instruments
(Abridged) Atmospheric dispersion and field differential refraction impose
severe constraints on widefield MOS observations. Flux reduction and spectral
distortions must be minimised by a careful planning of the observations --
which is especially true for instruments that use slits instead of fibres. This
is the case of VIMOS at the VLT, where MOS observations have been restricted,
since the start of operations, to a narrow two-hour range from the meridian to
minimise slit losses. We revisit in detail the impact of atmospheric effects on
the quality of VIMOS-MOS spectra. We model slit losses across the entire VIMOS
FOV as a function of target declination. We explore two different slit
orientations at the meridian: along the parallactic angle (North-South), and
perpendicular to it (East-West). We show that, for fields culminating at zenith
distances larger than 20 deg, slit losses are minimised with slits oriented
along the parallactic angle at the meridian. The two-hour angle rule holds for
these observations using N-S orientations. Conversely, for fields with zenith
angles smaller than 20 deg at culmination, losses are minimised with slits
oriented perpendicular to the parallactic angle at the meridian. MOS
observations can be effectively extended to plus/minus three hours from the
meridian in these cases. In general, night-long observations of a single field
will benefit from using the E-W orientation. All-sky or service mode
observations, however, require a more elaborate planning that depends on the
target declination, and the hour angle of the observations. We establish
general rules for the alignment of slits in MOS observations that will increase
target observability, enhance the efficiency of operations, and speed up the
completion of programmes -- a particularly relevant aspect for the forthcoming
spectroscopic public surveys with VIMOS.Comment: Accepted to A&A. 11 pages, 15 figures. This paper presents the new
recommendations for optimal slit alignment in VLT/VIMOS observation
Numerical approximation of statistical solutions of scalar conservation laws
We propose efficient numerical algorithms for approximating statistical
solutions of scalar conservation laws. The proposed algorithms combine finite
volume spatio-temporal approximations with Monte Carlo and multi-level Monte
Carlo discretizations of the probability space. Both sets of methods are proved
to converge to the entropy statistical solution. We also prove that there is a
considerable gain in efficiency resulting from the multi-level Monte Carlo
method over the standard Monte Carlo method. Numerical experiments illustrating
the ability of both methods to accurately compute multi-point statistical
quantities of interest are also presented
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