996 resultados para Community centers.


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Audit report on Indian Hills Community College in Ottumwa, Iowa for the year ended June 30, 2012

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BackgroundIn adult population with community acquired pneumonia high levels of pro-adrenomedullin (pro-ADM) have been shown to be predictors of worse prognosis. The role of this biomarker in pediatric patients had not been analyzed to date. The objective of this study is to know the levels of pro-ADM in children with community acquired pneumonia (CAP) and analyze the relation between these levels and the patients¿ prognosis.FindingsProspective observational study including patients attended in the emergency service (January to October 2009) admitted to hospital with CAP and no complications at admission. The values for pro-ADM were analyzed in relation to: need for oxygen therapy, duration of oxygen therapy, fever and antibiotic therapy, complications, admission to the intensive care unit, and length of hospital stay. Fifty patients were included. Ten presented complications (7 pleural effusion). The median level of pro-ADM was 1.0065¿nmol/L (range 0.3715 to 7.2840¿nmol/L). The patients presenting complications had higher levels of pro-ADM (2.3190 vs. 1.1758¿nmol/L, p¿=¿0.013). Specifically, the presence of pleural effusion was associated with higher levels of pro-ADM (2.9440 vs. 1.1373¿nmol/L, p¿<¿0.001).ConclusionsIn our sample of patients admitted to hospital with CAP, pro-ADM levels are related to the development of complications during hospitalization.

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Audit report on Clarke Community School District in Osceola, Iowa for the year ended June 30, 2012

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Audit report on Starmont Community School District near Arlington, Iowa for the year ended June 30, 2011

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Aim Conservation strategies are in need of predictions that capture spatial community composition and structure. Currently, the methods used to generate these predictions generally focus on deterministic processes and omit important stochastic processes and other unexplained variation in model outputs. Here we test a novel approach of community models that accounts for this variation and determine how well it reproduces observed properties of alpine butterfly communities. Location The western Swiss Alps. Methods We propose a new approach to process probabilistic predictions derived from stacked species distribution models (S-SDMs) in order to predict and assess the uncertainty in the predictions of community properties. We test the utility of our novel approach against a traditional threshold-based approach. We used mountain butterfly communities spanning a large elevation gradient as a case study and evaluated the ability of our approach to model species richness and phylogenetic diversity of communities. Results S-SDMs reproduced the observed decrease in phylogenetic diversity and species richness with elevation, syndromes of environmental filtering. The prediction accuracy of community properties vary along environmental gradient: variability in predictions of species richness was higher at low elevation, while it was lower for phylogenetic diversity. Our approach allowed mapping the variability in species richness and phylogenetic diversity projections. Main conclusion Using our probabilistic approach to process species distribution models outputs to reconstruct communities furnishes an improved picture of the range of possible assemblage realisations under similar environmental conditions given stochastic processes and help inform manager of the uncertainty in the modelling results

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The Iowa community colleges transmit the Fall 2000 enrollments to the Department of Education after the 14th day of the fall term start date. All data in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college transmittal sheet. The Fall 2000 unduplicated credit headcount enrollment of 65,473 demonstrates an increase of 3 percent over Fall 1999 enrollment of 63,809.

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Fall enrollment grew 1.2 percent to a record high of 88,104 unduplicated students in fiscal year 2009 (Table 1). College enrollment has grown for 11 consecutive years since enrollment slipped in fiscal year 1997. In the 44‐year history of the modern community college system, enrollment has only fallen four times (Figure 1). Enrollment growth was slightly slower than prior years. In 2006, enrollment grew over three percent, while enrollment grew 2.5 percent last year. Nevertheless, enrollment growth is outpacing the projected nationwide growth in community colleges (Hussar and Bailey, 2008: Table 16). For the second consecutive year, part‐time enrollment exceeded full‐time enrollment. Slightly over half, 50.9 percent, of students are enrolled in less than 12 credit hours. Last year, part‐time enrollment exceeded full‐time enrollment for the first time. The shift represents growing enrollment by working students and joint enrollment— high school students who enroll in community colleges.. Nationally, part‐time enrollment at public two‐year colleges has exceeded full‐time enrollment for more than 15 years. In 2006, part‐time students exceeded full‐time students by 60 percent (Hussar and Bailey, 2008: Table 16). Iowa’s enrollment growth has traditionally been consistent. Enrollment decreased four times—1976, 1983, 1984, and 1997—during the entire 44‐year history. Fulltime enrollment decreased nine times over the same period while part time enrollment only fell twice. The remainder of this report will break down credit enrollment by credit hours, student demographics, the programs in which students are enrolled, how the programs break down demographically, and joint enrollment.

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Iowa Community Colleges transmit fall enrollment data to the Department of Education after the 14th day of the fall term start date. All data included in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college.

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Iowa Community Colleges transmit fall enrollment data to the Department of Education after the 14th day of the fall term start date. All data included in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college.

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Iowa Community Colleges transmit fall enrollment data to the Department of Education after the 14th day of the fall term start date. All data included in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college.

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Iowa Community Colleges transmit fall enrollment data to the Department of Education after the 14th day of the fall term start date. All data included in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college.

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Iowa Community Colleges transmit fall enrollment data to the Department of Education after the 14th day of the fall term start date. All data included in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college.

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Iowa Community Colleges transmit fall enrollment data to the Department of Education after the 14th day of the fall term start date. All data included in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college.

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Iowa Community Colleges transmit fall enrollment data to the Department of Education after the 14th day of the fall term start date. All data included in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college.

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Iowa Community Colleges transmit fall enrollment data to the Department of Education after the 14th day of the fall term start date. All data included in this report, except where noted, are taken from the Management Information System (MIS) electronic data files and are confirmed by the community college.