28 research outputs found
Epidemiology of intra-abdominal infection and sepsis in critically ill patients: “AbSeS”, a multinational observational cohort study and ESICM Trials Group Project
Purpose: To describe the epidemiology of intra-abdominal infection in an international cohort of ICU patients according to a new system that classifies cases according to setting of infection acquisition (community-acquired, early onset hospital-acquired, and late-onset hospital-acquired), anatomical disruption (absent or present with localized or diffuse peritonitis), and severity of disease expression (infection, sepsis, and septic shock). Methods: We performed a multicenter (n = 309), observational, epidemiological study including adult ICU patients diagnosed with intra-abdominal infection. Risk factors for mortality were assessed by logistic regression analysis. Results: The cohort included 2621 patients. Setting of infection acquisition was community-acquired in 31.6%, early onset hospital-acquired in 25%, and late-onset hospital-acquired in 43.4% of patients. Overall prevalence of antimicrobial resistance was 26.3% and difficult-to-treat resistant Gram-negative bacteria 4.3%, with great variation according to geographic region. No difference in prevalence of antimicrobial resistance was observed according to setting of infection acquisition. Overall mortality was 29.1%. Independent risk factors for mortality included late-onset hospital-acquired infection, diffuse peritonitis, sepsis, septic shock, older age, malnutrition, liver failure, congestive heart failure, antimicrobial resistance (either methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, extended-spectrum beta-lactamase-producing Gram-negative bacteria, or carbapenem-resistant Gram-negative bacteria) and source control failure evidenced by either the need for surgical revision or persistent inflammation. Conclusion: This multinational, heterogeneous cohort of ICU patients with intra-abdominal infection revealed that setting of infection acquisition, anatomical disruption, and severity of disease expression are disease-specific phenotypic characteristics associated with outcome, irrespective of the type of infection. Antimicrobial resistance is equally common in community-acquired as in hospital-acquired infection
Intuitionistic Fuzzy Time Series Functions Approach for Time Series Forecasting
Fuzzy inference systems have been commonly used for time series forecasting in the literature. Adaptive network fuzzy inference system, fuzzy time series approaches and fuzzy regression functions approaches are popular among fuzzy inference systems. In recent years, intuitionistic fuzzy sets have been preferred in the fuzzy modeling and new fuzzy inference systems have been proposed based on intuitionistic fuzzy sets. In this paper, a new intuitionistic fuzzy regression functions approach is proposed based on intuitionistic fuzzy sets for forecasting purpose. This new inference system is called an intuitionistic fuzzy time series functions approach. The contribution of the paper is proposing a new intuitionistic fuzzy inference system. To evaluate the performance of intuitionistic fuzzy time series functions, twenty-three real-world time series data sets are analyzed. The results obtained from the intuitionistic fuzzy time series functions approach are compared with some other methods according to a root mean square error and mean absolute percentage error criteria. The proposed method has superior forecasting performance among all methods
Stress–Strength Parameter Estimation Based on Type-II Progressive Censored Samples for a Weibull-Half-Logistic Distribution
Bayesian and non-Bayesian reliability estimation of multicomponent stress–strength model for unit Weibull distribution
Estimation of Reliability in a Multicomponent Stress–Strength Model for a General Class of Inverted Exponentiated Distributions Under Progressive Censoring
Reliability estimation of s-out-of-k system for non-identical stress–strength components
Economic analysis of agricultural enterprises in Turkey according to their level of success Análise econĂ´mica de empresas agrĂcolas na Turquia de acordo com seu nĂvel de sucesso
In this study, agricultural enterprises in Turhal, Tokat were grouped based on their degree of success, their structural characteristics have been identified and their outcomes of activities discussed. The objective of the study was to determine the aspects that render successful agricultural enterprises different from other agricultural enterprises. The point to be achieved through the study is to assist agricultural enterprises with a more effective utilization of existing means in order to help them to develop. Data has been collected from 71 agricultural enterprises, which have been determined by Neyman's Method that is a stratified sampling method, via questionnaires. The Criterion of Agricultural Income Per Enterprise Land Decar has been applied for the classification of the enterprises according to their level of success. When the agricultural income was sufficiently examined in the enterprises, moderate successful and unsuccessful enterprises cannot obtain agricultural income to meet family labor force cost. Their agricultural level is quite below the sum of the family labour wage equivalent and the real interest of the equivalent capital. Therefore, the agricultural income of the examined enterprises is considered insufficient. The rate of the net product to the active capital is 3.45% in successful enterprises, 0.57% in those with moderate success, and for the unsuccessful ones, it has a negative value of -2.22%. This ratio for successful enterprises is close to 5%. Accordingly, the successful enterprises work more efficiently in comparison to the other enterprise groups.<br>Neste estudo, empresas agrĂcolas de Turhal, Tokat foram agrupadas com base em seu grau de sucesso, suas caracterĂsticas foram identificadas e seus resultados de atividades discutidos. O objetivo do estudo Ă© determinar os aspectos que diferenciam empresas agrĂcolas de sucesso das demais. O ponto a ser alcançado pelo estudo Ă© assistir as empresas agrĂcolas com um uso mais efetivo. O ponto a ser alcançado pelo estudo Ă© assistir as empresas agrĂcolas com um uso mais efetivo dos meios existentes, para ajudar a desenvolvĂŞ-las. Foram utilizados dados de 71 empresas selecionadas pelo mĂ©todo estratificado de Neyman, atravĂ©s de questionários. O "Criterion of Agricultural Income Per Interprise Land Decar" foi aplicado para a classificação em relação ao nĂvel de sucesso. Quando a renda agrĂcola foi suficientemente examinada, as empresas de sucesso moderado e as sem sucesso nĂŁo podem obter renda agrĂcola suficiente para atender ao custo do trabalho familiar. Seu nĂvel agrĂcola está muito abaixo da soma dos salários familiares e do juro real do capital equivalente. Por isso, a renda agrĂcola das empresas examinadas Ă© considerada insuficiente. A relação entre o produto lĂquido e o capital ativo Ă© 3,45% nas empresas de sucesso, 0,57% nas de moderado sucesso e -2,22% nas sem sucesso. Nesta relação, o limite do juro normal Ă© de 5% para empresas de sucesso. Assim, empresas de sucesso trabalham mais eficientemente em comparação a outros grupos empresarias