123 research outputs found
Et nos mutamur: the future of teacher education
An inaugural lecture by Professor Bone on the future of teacher education, given in the University College of Rhodesia on 9th October, 196
Educational Development in Rhodesia
A RJE article on the history of educational development in Rhodesia from the formative years.The first mission station established in what is now Rhodesia was the L.M.S. venture at Inyati in 1859. It was not until nearly 30 years later that a second missionary group entered the country (the Roman Catholics at Empandeni). Throughout the period of Matabele independence and dominanceâuntil the European occupation in 1890âthe efforts of the missionaries to evangelize and educate were almost total failures.
It was only with the European occupation that first in Mashonaland and then, from 1893, in Matabeleland there was a strong inflow of missionary societies and a rapid extension of activity in the fields of evangelization and education.
The first measure of Government participation was taken in 1899 with the promulgation of an Education Ordinance, establishing a system of grants-in-aid and the skeleton of an Education Department to administer it.
Over the years the system was developed and the administration strengthened. The Education Department, however, was âcharged principally with the oversight of European schoolsâ1 2 3 4 and only from the beginning of 1928 was a separate Native Education Department set up. Under the Native Development Act of 1929 the department was renamed the Department of Native Development and its functions appropriately widened to include agricultural and community development. Tensions between it and the Native Affairs Department built up and in 1933 the Native Development Department was broken up and its various components brought under the Native Affairs Department and so under the Chief Native Commissioner.
Only in 1956 was education again separated off and an âuntrammelledâ* department of Native Education established.
Throughout this entire period (1890-1956), although government increasingly exercised control of African education and increasingly aided it, its provision was almost entirely in the hands of the missions.
Two specialist Government training schools (Domboshawa and Tjolotjo) were opened in 1920 and 1921. Tjolotjo had a difficult and troubled history and in the early 1940s was transferred to a new site near Bulawayo and given a new nameâMzingwane
Modelling thirty-day mortality in the acute respiratory distress syndrome (ARDS) in an adult ICU
Publisher's copy made available with the permission of the publisher © Australian Society of AnaesthetistsVariables predicting thirty-day outcome from Acute Respiratory Distress Syndrome (ARDS) were analysed using Cox regression structured for time-varying covariates. Over a three-year period, 1996-1998, consecutive patients with ARDS (bilateral chest X-ray opacities, PaOâ/FiOâ ratio of <200 and an acute precipitating event) were identified using a prospective computerized data base in a university teaching hospital ICU. The cohort, 106 mechanically ventilated patients, was of mean (SD) age 63.5 (15.5) years and 37% were female. Primary lung injury occurred in 45% and 24% were postoperative. ICU-admission day APACHE II score was 25 (8); ARDS onset time from ICU admission was 1 day (median: range 0-16) and 30 day mortality was 41% (95% CI: 33%-51%). At ARDS onset, PaOâ/FiOâ ratio was 92 (31), 81% had four-quadrant chest X-ray opacification and lung injury score was 2.75 (0.45). Average mechanical ventilator tidal volume was 10.3 ml/ predicted kg weight. Cox model mortality predictors (hazard ratio, 95% CI) were: APACHE II score, 1.15 (1.09-1.21); ARDS lag time (days), 0.72 (0.58-0.89); direct versus indirect injury, 2.89 (1.45-5.76); PaOâ/FiOâ ratio, 0.98 (0.97-0.99); operative versus non-operative category, 0.24 (0.09-0.63). Time-varying effects were evident for PaOâ/FiOâ ratio, operative versus non-operative category and ventilator tidal volume assessed as a categorical predictor with a cut-point of 8 ml/kg predicted weight (mean tidal volumes, 7.1 (1.9) vs 10.7 (1.6) ml/kg predicted weight). Thirty-day survival was improved for patients ventilated with lower tidal volumes. Survival predictors in ARDS were multifactorial and related to patient-injury-time interaction and level of mechanical ventilator tidal volume.J. L. Moran, P. J. Solomon, V. Fox, M. Salagaras, P. J. Williams, K. Quinlan, A. D. Berstenhttp://www.aaic.net.au/Article.asp?D=200332
An Observational Overview of Solar Flares
We present an overview of solar flares and associated phenomena, drawing upon
a wide range of observational data primarily from the RHESSI era. Following an
introductory discussion and overview of the status of observational
capabilities, the article is split into topical sections which deal with
different areas of flare phenomena (footpoints and ribbons, coronal sources,
relationship to coronal mass ejections) and their interconnections. We also
discuss flare soft X-ray spectroscopy and the energetics of the process. The
emphasis is to describe the observations from multiple points of view, while
bearing in mind the models that link them to each other and to theory. The
present theoretical and observational understanding of solar flares is far from
complete, so we conclude with a brief discussion of models, and a list of
missing but important observations.Comment: This is an article for a monograph on the physics of solar flares,
inspired by RHESSI observations. The individual articles are to appear in
Space Science Reviews (2011
Temporal Trends of Dissolved Trace Metals in Jamaica Bay, NY: Importance of Wastewater Input and Submarine Groundwater Discharge in an Urban Estuary
Checklist da classe appendicularia (Chordata: Tunicata) do Estado de SĂŁo Paulo, Brasil
Whole-genome sequencing reveals host factors underlying critical COVID-19
Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genesâincluding reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)âin critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease
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