Spectrum of some trianguled categories

In this paper, we compute the triangular spectrum (as de fined by P. Balmer) of two classes of tensor triangulated categories which are quite common in algebraic geometry. One of them is the derived category of G-equivariant sheaves on a smooth scheme X, for a fi nite group G. The other class is the derived category of split superschemes.

Violence against adolescents: an analysis based on the categories gender and generation

Exploratory and descriptive study based on quantitative and qualitative methods that analyze the phenomenon of violence against adolescents based on gender and generational categories. The data source was reports of violence from the Curitiba Protection Network from 2010 to 2012 and semi-structured interviews with 16 sheltered adolescents. Quantitative data were analyzed using SPSS software version 20.0 and the qualitative data were subjected to content analysis. The adolescents were victims of violence in the household and outside of the family environment, as victims or viewers of violence. The violence was experienced at home, mostly toward girls, with marked overtones of gender violence. More than indicating the magnitude of the issue, this study can give information to help qualify the assistance given to victimized people and address how to face this issue.

Multiple correspondence analysis of a subset of response categories

In the analysis of multivariate categorical data, typically the analysis of questionnaire data, it is often advantageous, for substantive and technical reasons, to analyse a subset of response categories. In multiple correspondence analysis, where each category is coded as a column of an indicator matrix or row and column of Burt matrix, it is not correct to simply analyse the corresponding submatrix of data, since the whole geometric structure is different for the submatrix . A simple modification of the correspondence analysis algorithm allows the overall geometric structure of the complete data set to be retained while calculating the solution for the selected subset of points. This strategy is useful for analysing patterns of response amongst any subset of categories and relating these patterns to demographic factors, especially for studying patterns of particular responses such as missing and neutral responses. The methodology is illustrated using data from the International Social Survey Program on Family and Changing Gender Roles in 1994.

2007 Greenhouse Gas Emissions from Selected Iowa Source Categories

The Department’s 2007 Greenhouse Gas Inventory is a refinement of previous statewide inventories. It is a bottom-up inventory of two sectors – fossil fuel combustion at federally-recognized major sources of air pollution and fossil fuel combustion and ethanol fermentation at dry mill ethanol plants. This is the first bottomup greenhouse gas inventory conducted for Iowa and the first bottom-up greenhouse gas inventory of ethanol plants in the nation that the Department is aware of. In a bottom-up inventory, facility-specific activity data is used to calculate emissions. In a top-down inventory, aggregate activity data is used to calculate emissions. For example, this bottom-up inventory calculates greenhouse gas emissions from the fossil fuel combustion at each individual facility instead of using the total amount of fossil fuel combusted state-wide, which would be a top-down inventory method. The advantage to a bottom-up inventory is that the calculations are more accurate than a top-down inventory. However, because the two methods differ, the results from a bottom-up inventory are not directly comparable to a top-down inventory.

Subset correspondence analysis: Visualizing relationships among a selected set of response categories from a questionnaire survey

It is shown how correspondence analysis may be applied to a subset of response categories from a questionnaire survey, for example the subset of undecided responses or the subset of responses for a particular category. The idea is to maintain the original relative frequencies of the categories and not re-express them relative to totals within the subset, as would normally be done in a regular correspondence analysis of the subset. Furthermore, the masses and chi-square metric assigned to the data subset are the same as those in the correspondence analysis of the whole data set. This variant of the method, called Subset Correspondence Analysis, is illustrated on data from the ISSP survey on Family and Changing Gender Roles.

André spectral sequences for Baues-Wirsching cohomology of categories

We construct spectral sequences in the framework of Baues-Wirsching cohomology and homology for functors between small categories and analyze particular cases including Grothendieck fibrations. We also give applications to more classical cohomology and homology theories including Hochschild-Mitchell cohomology and those studied before by Watts, Roos, Quillen and others

Factors associated with healthcare professionals' intent to stay in hospital: a comparison across five occupational categories.

OBJECTIVE: To identify factors associated with intent to stay in hospital among five different categories of healthcare professionals using an adapted version of the conceptual model of intent to stay (CMIS). DESIGN: A cross-sectional survey targeting Lausanne University Hospital employees performed in the fall of 2011. Multigroup structural equation modeling was used to test the adapted CMIS model among professional groups. Measures Satisfaction, self-fulfillment, workload, working conditions, burnout, overall job satisfaction, institutional identification and intent to stay. PARTICIPANTS: Surveys of 3364 respondents: 494 physicians, 1228 nurses, 509 laboratory technicians, 935 administrative staff and 198 psycho-social workers. RESULTS: For all professional categories, self-fulfillment increased intent to stay (all β > 0.14, P < 0.05). Burnout decreased intent to stay by weakening job satisfaction (β < -0.23 and β > 0.22, P < 0.05). Some factors were associated with specific professional categories: workload was associated with nurses' intent to stay (β = -0.15), and physicians' institutional identification mitigated the effect of burnout on intent to stay (β = -0.15 and β = 0.19). CONCLUSION: Respondents' intent to stay in a position depended both on global and profession-specific factors. The identification of these factors may help in mapping interventions and retention plans at both a hospital level and professional groups' level.

Operative Treatment of Ovarian Cancer and Borderline Tumors in Different Hospital Categories in Finland

Surgery is the cornerstone of ovarian cancer treatment and maximal cytoreduction is important. In the early 1980’s primary surgical treatment of ovarian cancer was performed in over 80 hospitals in Finland. The significance of the operative volume of the hospital, of the training of the surgeons and of centralization of surgical treatment has been widely discussed. The aim of the present study was to evaluate the outcome of surgical treatment of ovarian cancer in different hospital categories retrospectively and prospectively, and to analyze if any differences are reflected in survival. The retrospective study included 3851 ovarian cancer patients operated between 1983 and 1994 in Finland. The data was analyzed according to hospital category (university, central, and other) and by quartiles of the hospital operative volume. The results showed that patients operated in the highest operative volume hospitals had the best relative survival. When stratifying the analysis by the period of diagnosis (1983-1988 and 1989-1994), the university hospitals improved their performance the most. The prospective part of the thesis was initiated in 1999 and included 307 patients with invasive ovarian cancer and 65 patients with an ovarian borderline tumor. The baseline and 5-year surveys used a questionnaire that was filled in by the operating surgeons. For analysis of the 5-year followup data, the hospitals were divided into three categories (<10, 10-20, or >20 patients operated in 1999). The effect of the surgical volume was analyzed also as a continuous variable (1-47 operations per year). In university hospitals, pelvic lymphadenectomy was performed in 88 %, and para-aortic lymphadenectomy in 73 %, of the patients with stage I disease. The corresponding figures ranged from 11 % to 21 % in the other hospitals. For stage III ovarian cancer patients operated by gynecological oncologists, the estimated odds ratio for no macroscopic residual tumor was 3.0 times higher (95 % CI 1.2-7.5) than for those operated by general gynecologists. In the university and other hospitals 82% of the patients received platinum-based chemotherapy. Platinum + taxane combination was given to 63 % of the patients in the university and in 49 % in the other hospitals (p = 0.0763). Only a minority of the patients with tumors of borderline malignancy were staged according to recommendations, most often multiple peritoneal biopsies and omentectomy were neglected. FIGO stage, patient age, and residual tumor were independent prognostic factors of cancer-specific 5-year survival. A higher hospital operative volume was also a significant prognostic factor for better cancer-specific survival (p = 0.036) and disease-free survival (p = 0.048). In conclusion, ovarian cancer patients operated in high-volume university hospitals were more often optimally debulked and had a significantly better cancer-specific survival than patients operated in other hospitals. These results favor centralization of primary surgical treatment of ovarian cancer.

Use of GRADE for assessment of evidence about prognosis : rating confidence in estimates of event rates in broad categories of patients.

Main concepts : The Grades of Recommendation, Assessment, Development, and Evaluation (GRADE) approach defines quality of evidence as confidence in effect estimates; this conceptualization can readily be applied to bodies of evidence estimating the risk of future of events (that is, prognosis) in broadly defined populations In the field of prognosis, a body of observational evidence (including single arms of randomized controlled trials) begins as high quality evidence. The five domains GRADE considers in rating down confidence in estimates of treatment effect-that is, risk of bias, imprecision, inconsistency, indirectness, and publication bias-as well as the GRADE criteria for rating up quality, also apply to estimates of the risk of future of events from a body of prognostic studies Applying these concepts to systematic reviews of prognostic studies provides a ful approach to determine confidence in estimates of overall prognosis in broad populations.