Formation, transformation, and removal of aerosol over a tropical mangrove forest

A comprehensive size-segregated characterization of the chemical properties (watersoluble inorganic fraction) of the sea-salt aerosol originated from the surf zone at the land-ocean boundary of Sundarban Mangrove forest, NE coast of Bay of Bengal, and an analysis of the relevant meteorological parameters revealed how the combined effect of anthropogenic gases and aerosol advected to the virgin mangrove forest and micrometeorological conditions could change the marine character of the aerosol before the onset of SW monsoon. The average aerosol mass concentration was 99.94 +/- 41.9 mu g m(-3) with production rate of 0.19 mu g m(-2)s(-1) ( during January) to 4.29 mu g m(-2)s(-1) ( during April) and dry deposition rate of 0.019 mu g m(-2) s(-1) ( during January) to 13.21 mu g m(-2) s(-1) ( during June). 72.35% of the total aerosol mass was leachable by water, and relatively large concentrations of phosphorus were observed. More chloride depletion from the coarse (2.0 2.0 mu m. Distributions of Na+, K+, Ca2+, Mg2+, NH4+, Cl-, NO2-, NO3-, SO42-, and PO43- in different size modes were considered to collate their source apportionment. The proximity of Calcutta and Haldia metropolis to the mangrove forest could influence the forest air quality and depositional processes

The impact of socially-accountable, community-engaged medical education on graduates in the Central Philippines: implications for the global rural medical workforce

Introduction: Developing and retaining a high quality medical workforce, especially within low-resource countries has been a world-wide challenge exacerbated by a lack of medical schools, the maldistribution of doctors towards urban practice, health system inequities, and training doctors in tertiary centers rather than in rural communities. Aim: To describe the impact of socially-accountable health professional education on graduates; specifically: their motivation towards community-based service, preparation for addressing local priority health issues, career choices, and practice location. Methods: Cross-sectional survey of graduates from two medical schools in the Philippines: the University of Manila-School of Health Sciences (SHS-Palo) and a medical school with a more conventional curriculum. Results: SHS-Palo graduates had significantly (p < 0.05) more positive attitudes to community service. SHS-Palo graduates were also more likely to work in rural and remote areas (p < 0.001) either at district or provincial hospitals (p = 0.032) or in rural government health services (p < 0.001) as Municipal or Public Health Officers (p < 0.001). Graduates also stayed longer in both their first medical position (p = 0.028) and their current position (p < 0.001). Conclusions: SHS-Palo medical graduates fulfilled a key aim of their socially-accountable institution to develop a health professional workforce willing and able, and have a commitment to work in underserved rural communties

Perceptions of newly admitted undergraduate medical students on experiential training on community placements and working in rural areas of Uganda

<p>Abstract</p> <p>Background</p> <p>Uganda has an acute problem of inadequate human resources partly due to health professionals' unwillingness to work in a rural environment. One strategy to address this problem is to arrange health professional training in rural environments through community placements. Makerere University College of Health Sciences changed training of medical students from the traditional curriculum to a problem-based learning (PBL) curriculum in 2003. This curriculum is based on the SPICES model (student-centered, problem-based, integrated, community-based and services oriented). During their first academic year, students undergo orientation on key areas of community-based education, after which they are sent in interdisciplinary teams for community placements. The objective was to assess first year students' perceptions on experiential training through community placements and factors that might influence their willingness to work in rural health facilities after completion of their training.</p> <p>Methods</p> <p>The survey was conducted among 107 newly admitted first year students on the medical, nursing, pharmacy and medical radiography program students, using in-depth interview and open-ended self-administered questionnaires on their first day at the college, from October 28-30, 2008. Data was collected on socio-demographic characteristics, motivation for choosing a medical career, prior exposure to rural health facilities, willingness to have part of their training in rural areas and factors that would influence the decision to work in rural areas.</p> <p>Results</p> <p>Over 75% completed their high school from urban areas. The majority had minimal exposure to rural health facilities, yet this is where most of them will eventually have to work. Over 75% of the newly admitted students were willing to have their training from a rural area. Perceived factors that might influence retention in rural areas include the local context of work environment, support from family and friends, availability of continuing professional training for career development and support of co-workers and the community.</p> <p>Conclusion</p> <p>Many first year students at Makerere University have limited exposure to health facilities in rural areas and have concerns about eventually working there.</p

Nanofluids Containing γ-Fe2O3 Nanoparticles and Their Heat Transfer Enhancements

Homogeneous and stable magnetic nanofluids containing γ-Fe2O3 nanoparticles were prepared using a two-step method, and their thermal transport properties were investigated. Thermal conductivities of the nanofluids were measured to be higher than that of base fluid, and the enhanced values increase with the volume fraction of the nanoparticles. Viscosity measurements showed that the nanofluids demonstrated Newtonian behavior and the viscosity of the nanofluids depended strongly on the tested temperatures and the nanoparticles loadings. Convective heat transfer coefficients tested in a laminar flow showed that the coefficients increased with the augment of Reynolds number and the volume fraction

ViPAR: a software platform for the Virtual Pooling and Analysis of Research Data

Background: Research studies exploring the determinants of disease require sufficient statistical power to detect meaningful effects. Sample size is often increased through centralized pooling of disparately located datasets, though ethical, privacy and data ownership issues can often hamper this process. Methods that facilitate the sharing of research data that are sympathetic with these issues and which allow flexible and detailed statistical analyses are therefore in critical need. We have created a software platform for the Virtual Pooling and Analysis of Research data (ViPAR), which employs free and open source methods to provide researchers with a web-based platform to analyse datasets housed in disparate locations. Methods: Database federation permits controlled access to remotely located datasets from a central location. The Secure Shell protocol allows data to be securely exchanged between devices over an insecure network. ViPAR combines these free technologies into a solution that facilitates 'virtual pooling' where data can be temporarily pooled into computer memory and made available for analysis without the need for permanent central storage. Results: Within the ViPAR infrastructure, remote sites manage their own harmonized research dataset in a database hosted at their site, while a central server hosts the data federation component and a secure analysis portal. When an analysis is initiated, requested data are retrieved from each remote site and virtually pooled at the central site. The data are then analysed by statistical software and, on completion, results of the analysis are returned to the user and the virtually pooled data are removed from memory. Conclusions: ViPAR is a secure, flexible and powerful analysis platform built on open source technology that is currently in use by large international consortia, and is made publicly available at [http://bioinformatics.childhealthresearch.org.au/software/vipar/]

The Varicella-Zoster Virus ORF47 Kinase Interferes with Host Innate Immune Response by Inhibiting the Activation of IRF3

The innate immune response constitutes the first line of host defence that limits viral spread and plays an important role in the activation of adaptive immune response. Viral components are recognized by specific host pathogen recognition receptors triggering the activation of IRF3. IRF3, along with NF-κB, is a key regulator of IFN-β expression. Until now, the role of IRF3 in the activation of the innate immune response during Varicella-Zoster Virus (VZV) infection has been poorly studied. In this work, we demonstrated for the first time that VZV rapidly induces an atypical phosphorylation of IRF3 that is inhibitory since it prevents subsequent IRF3 homodimerization and induction of target genes. Using a mutant virus unable to express the viral kinase ORF47p, we demonstrated that (i) IRF3 slower-migrating form disappears; (ii) IRF3 is phosphorylated on serine 396 again and recovers the ability to form homodimers; (iii) amounts of IRF3 target genes such as IFN-β and ISG15 mRNA are greater than in cells infected with the wild-type virus; and (iv) IRF3 physically interacts with ORF47p. These data led us to hypothesize that the viral kinase ORF47p is involved in the atypical phosphorylation of IRF3 during VZV infection, which prevents its homodimerization and subsequent induction of target genes such as IFN-β and ISG15

Utilisation of an operative difficulty grading scale for laparoscopic cholecystectomy

Background A reliable system for grading operative difficulty of laparoscopic cholecystectomy would standardise description of findings and reporting of outcomes. The aim of this study was to validate a difficulty grading system (Nassar scale), testing its applicability and consistency in two large prospective datasets. Methods Patient and disease-related variables and 30-day outcomes were identified in two prospective cholecystectomy databases: the multi-centre prospective cohort of 8820 patients from the recent CholeS Study and the single-surgeon series containing 4089 patients. Operative data and patient outcomes were correlated with Nassar operative difficultly scale, using Kendall’s tau for dichotomous variables, or Jonckheere–Terpstra tests for continuous variables. A ROC curve analysis was performed, to quantify the predictive accuracy of the scale for each outcome, with continuous outcomes dichotomised, prior to analysis. Results A higher operative difficulty grade was consistently associated with worse outcomes for the patients in both the reference and CholeS cohorts. The median length of stay increased from 0 to 4 days, and the 30-day complication rate from 7.6 to 24.4% as the difficulty grade increased from 1 to 4/5 (both p < 0.001). In the CholeS cohort, a higher difficulty grade was found to be most strongly associated with conversion to open and 30-day mortality (AUROC = 0.903, 0.822, respectively). On multivariable analysis, the Nassar operative difficultly scale was found to be a significant independent predictor of operative duration, conversion to open surgery, 30-day complications and 30-day reintervention (all p < 0.001). Conclusion We have shown that an operative difficulty scale can standardise the description of operative findings by multiple grades of surgeons to facilitate audit, training assessment and research. It provides a tool for reporting operative findings, disease severity and technical difficulty and can be utilised in future research to reliably compare outcomes according to case mix and intra-operative difficulty

A social engineering model for poverty alleviation

Poverty, the quintessential denominator of a developing nation, has been traditionally defined against an arbitrary poverty line; individuals (or countries) below this line are deemed poor and those above it, not so! This has two pitfalls. First, absolute reliance on a single poverty line, based on basic food consumption, and not on total consumption distribution, is only a partial poverty index at best. Second, a single expense descriptor is an exogenous quantity that does not evolve from income-expenditure statistics. Using extensive income-expenditure statistics from India, here we show how a self-consistent endogenous poverty line can be derived from an agent-based stochastic model of market exchange, combining all expenditure modes (basic food, other food and non-food), whose parameters are probabilistically estimated using advanced Machine Learning tools. Our mathematical study establishes a consumption based poverty measure that combines labor, commodity, and asset market outcomes, delivering an excellent tool for economic policy formulation