Identifying significant integration and institutional factors that predict online doctoral persistence

Based on a synthesis of traditional attrition models and the empirical literature, an online doctoral persistence model was developed using archival data from 148 candidates. A predictive, correlation design and logistic regression were used to examine if a linear combination of institutional (financial support; program, curriculum, and instruction; and support services) and integration variables (academic, social, economic, and familial integration) could be used to distinguish between doctoral students who persist from those who withdraw during the dissertation process. The entire model, including all institutional and integration variables, were found to significantly predict whether or not online doctoral students will persist in the candidacy stage of the program. Moreover, support services; quality of the program, curriculum, and instruction; academic integration; social integration with faculty; and familial integration each individually contributed to explaining the likelihood of online doctoral persistence. Social integration, financial support, and economic integration were not individual significant contributing factors explaining persistence

Study design and baseline characteristics of the national observational study of diagnostic and interventional cardiac catheterization by the French Society of Cardiology.

The national observational study of diagnostic and interventional cardiac catheterization (ONACI) is a prospective multicenter registry of the French Society of Cardiology including all interventional cardiology procedures performed from 2004. We aimed to evaluate "real-world" management of patients with coronary artery disease in France from this registry. The present study was focused on data collected from 2004 to 2008. Patient demographics and co-morbidities, invasive parameters, treatment options, and procedural techniques were prospectively collected. Patients were recruited from 99 hospitals (55% of patients were hospitalized in private clinics and 45% in public institutions). During a 5-year period, a total of 298,105 patients underwent coronary angiography and 176,166 patients underwent percutaneous coronary intervention. Diagnosis was acute coronary syndrome in 22%, stable angina or silent ischemia in 23%, and atypical chest pain in 9% of cases. Normal coronary arteries or nonsignificant coronary narrowing were found in 26% of patients. Radial access was increasingly used over the years regardless of the indication. The average number of percutaneous coronary interventions per procedure was 1.5 ± 0.7 (range, 1.3 ± 0.7 to 1.5 ± 0.7) and that of stents per procedure was 1.5 ± 0.8 (range, 1.5 ± 0.8 to 1.6 ± 0.8). Drug-eluting stents were used in 45% (range, 34% to 62%), increasing from 2004 to 2006, and then decreasing after the 2006 controversy. In conclusion, ONACI is one of the largest catheterization registries during this period, providing a detailed and comprehensive global description of the spectrum and management of patients with suspected coronary artery disease undergoing cardiac catheterization

Factors that Influence Chemotherapy Treatment Rate in Patients With Upper Limb Osteosarcoma

Background/Aim: Chemotherapy is the mainstay treatment of osteosarcoma. The purpose of this study was to elucidate the factors that affect the rate of chemotherapy treatment of osteosarcoma patients. Materials and Methods: We queried the National Cancer Database for bone cancer patients. We included patients diagnosed with osteosarcoma of the upper extremities regardless of age and sex. With bivariate and multivariate models, we analyzed the demographic, facility, and tumor-specific characteristics, comparing the group that received chemotherapy with those that did not. Results: Female patients (OR=0.567; 95% CI=0.337-0.955), non-White patients (OR=0.485; 95% CI=0.25-0.939), and patients with government insurance (OR=0.506; 95% CI=0.285-0.9) had lower odds of receiving chemotherapy treatment than male, white, and privately insured patients. Patients with stages II (OR=4.817; 95% CI=2.594-8.946) and IV disease (OR=0.457; 95% CI=1.931-10.286) had higher odds of receiving chemotherapy than those with stage I disease. Conclusion: Age, sex, race and insurance affected the rate of chemotherapy treatment in patients with upper limb osteosarcoma

Growth form analysis of epiphytic diatom communities of Terra Nova Bay (Ross Sea, Antarctica)

Diatoms have been long collected from the Southern Ocean but almost no data exist for epiphytic communities, despite their high ecological significance as an important food source in Antarctic coastal food chains. Here, we present a first growth form analysis of diatoms associated with rhodophyte hosts from Terra Nova Bay, Ross Sea, Antarctica. We performed this study to gather baseline information on the species composition of epiphytic diatom communities, determine the influence of some environmental variables on the diatom distribution patterns, and assess the caveats that must be taken into account in terms of sampling design. Macroalgal material was collected during the Italian Antarctic expeditions between 1990 and 2004. Epiphytic diatoms were studied by means of scanning electron microscopy. In terms of growth forms, there were no significant differences between the diatom communities on the different macroalgal host species. Motile (mainly small-celled Naviculaperminuta and other Navicula spp.) and adnate (Cocconeis spp.) diatoms dominated the community throughout the study period. Many of the macroalgal blades examined were also covered by epiphytic animals (calcareous bryozoans, hydroids) over most of their surface, with a significant effect on the associated diatom community structure. Our findings suggest that the bio-physicochemical characteristics of each sampling site affected the epiphytic diatom communities more than the substrate type provided by the macroalgal host or the sampling depth. © 2012 Springer-Verlag

COVID-19 through Adverse Outcome Pathways: Building networks to better understand the disease - 3rd CIAO AOP Design Workshop

On April 28-29, 2021, 50 scientists from different fields of expertise met for the 3rd online CIAO workshop. The CIAO project “Modelling the Pathogenesis of COVID-19 using the Adverse Outcome Pathway (AOP) framework” aims at building a holistic assembly of the available scientific knowledge on COVID-19 using the AOP framework. An individual AOP depicts the disease progression from the initial contact with the SARS-CoV-2 virus through biological key events (KE) toward an adverse outcome such as respiratory distress, anosmia or multiorgan failure. Assembling the individual AOPs into a network highlights shared KEs as central biological nodes involved in multiple outcomes observed in COVID-19 patients. During the workshop, the KEs and AOPs established so far by the CIAO members were presented and posi­tioned on a timeline of the disease course. Modulating factors influencing the progression and severity of the disease were also addressed as well as factors beyond purely biological phenomena. CIAO relies on an interdisciplinary crowd­sourcing effort, therefore, approaches to expand the CIAO network by widening the crowd and reaching stakeholders were also discussed. To conclude the workshop, it was decided that the AOPs/KEs will be further consolidated, inte­grating virus variants and long COVID when relevant, while an outreach campaign will be launched to broaden the CIAO scientific crowd