Interest Measures for Fuzzy Association Rules Based on Expectations of Independence

Lift, leverage, and conviction are three of the best commonly known interest measures for crisp association rules. All of them are based on a comparison of observed support and the support that is expected if the antecedent and consequent part of the rule were stochastically independent. The aim of this paper is to provide a correct definition of lift, leverage, and conviction measures for fuzzy association rules and to study some of their interesting mathematical properties

Interest Measures for Fuzzy Association Rules Based on Expectations of Independence

Lift, leverage, and conviction are three of the best commonly known interest measures for crisp association rules. All of them are based on a comparison of observed support and the support that is expected if the antecedent and consequent part of the rule were stochastically independent. The aim of this paper is to provide a correct definition of lift, leverage, and conviction measures for fuzzy association rules and to study some of their interesting mathematical properties

Family House Energy Supply

Diplomová práce se zabývá zásobováním energií staršího rodinného domu v rekonstrukci se současnými legislativními podmínkami a dotačními možnostmi. Nejdříve jsou stanoveny energetické potřeby rodinného domu, jako tepelné ztráty, potřeba teplé vody a elektřiny. Následně jsou analyzovány legislativní podmínky a dotační možnosti pro daný RD. V druhé části jsou po přehledu různých technologických systémů navržena vhodná řešení pro daný RD a optimalizována.This diploma thesis deals with family house energy supply in old house under reconstruction in Czech Republic legislation. Energy needs are specified at first like heat loss, need of heat water, electricity needs. Legislation and subsidy in the Czech Republic are analyzed after that. In the second part, after summary of technological systems, proposed possible solutions and optimized

Mining Linguistic Associations for Emergent Flood Prediction Adjustment

Floods belong to the most hazardous natural disasters and their disaster management heavily relies on precise forecasts. These forecasts are provided by physical models based on differential equations. However, these models do depend on unreliable inputs such as measurements or parameter estimations which causes undesirable inaccuracies. Thus, an appropriate data-mining analysis of the physical model and its precision based on features that determine distinct situations seems to be helpful in adjusting the physical model. An application of fuzzy GUHA method in flood peak prediction is presented. Measured water flow rate data from a system for flood predictions were used in order to mine fuzzy association rules expressed in natural language. The provided data was firstly extended by a generation of artificial variables (features). The resulting variables were later on translated into fuzzy GUHA tables with help of Evaluative Linguistic Expressions in order to mine associations. The found associations were interpreted as fuzzy IF-THEN rules and used jointly with the Perception-based Logical Deduction inference method to predict expected time shift of flow rate peaks forecasted by the given physical model. Results obtained from this adjusted model were statistically evaluated and the improvement in the forecasting accuracy was confirmed

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

FIELD OF STUDY AS A FACTOR INFLUENCING THE MODEL OF VALUE-ADDED ASSESSMENT

This contribution deals with the possibilities of schools’ results evaluation and unbiased assessment of the so called education value-added. Value-added models in education express school contribution to the progress of a pupil in relation to predetermined educational goals. The article is a comparison of two methods of the value-added assessment: method of relative shift and relative gain of knowledge method. The focus is laid on the school’s field of study as a factor which could, to a considerable extent, affect the measurement results. Both methods are used for relatively wide range of data drawn from results of secondary school pupils value-added assessments and are compared in respect to the schools’ classification according to their field of study. The results show that the field of study is a significant factor influencing the value-added assessment outcomes and have to be taken into account

Caring for organ donors on anesthesiology and resuscitation department

Transplantology is essential branch of medicine, which is subject to legislative norms and international conventions, but it must be understood primarily as an ethical problem, which solves a major life decision and save human life. It is not just about a medical site. Actual operations precede the long preparation, many examinations and also nursing care. Although this is a very broad field of medicine, there is not a large number of publications dealing with general questions. This work was created to unify information on transplantation medicine and especially information regarding organ donation and care of them. The theoretical part deals with the whole range of activities that precede the actual transplantation. It contains history, legislation, transplantology basic terms, allocation of organ donors, the determination of brain death, the care of organ donors, coordinating transplantations, national health registers. The practical part deals with mapping techniques in diagnosis and treatment and examines an approach to donors at the Anaesthesiology-Resuscitation Departments of selected hospitals. This part of the work also compares the procedures under the care of individual departments. As a part of this research I have done semistructured interviews with individual workers from Anaesthesiology-Resuscitation Departments; the results were evaluated and processed. In conclusion, I must say that we have a good care for organ donors in our country. Despite some theoretical deficiencies, it is clear that workers respect of established procedures and follow the latest instructions provided directly to individual transplant centers. This statement is supported by figures that confirm the upward trend and quality work of Czech health workers and doctors. The Czech Republic is nowadays one of the leading countries in the world comparable to transplant centers

Tvorba uživatelského rozhraní databázových aplikací v PHP

Import 20/04/2006Prezenční výpůjčkaVŠB - Technická univerzita Ostrava. Fakulta elektrotechniky a informatiky. Katedra (456) informatik