Analysis of the Atmosphere Aerosol and Ozone Condition Over Tbilisi Using Satellite Data and Ground Truth Measurements

Ground-based measurements of the parameters of atmosphere in Tbilisi during the same period, which are provided by the Mikheil Nodia Institute of geophysics, were used as calibration data. Satellite data monthly averaging, preprocessing, analysis and visualization was performed using Giovanni web-based application. Maps of trends and periodic components of the atmosphere aerosol optical thickness and ozone concentration over the study area were calculated.

Cellular DBMS : customizable and autonomous data management using a RISC-style architecture

Magdeburg, Univ., Fak. für Informatik, Diss., 2011

Data mining with graphical models

Data Mining, Learning from data, graphical models, possibility theory

Optimal scheduling with uncertainty in the numerical data on the basis of a stability analysis

Scheduling, job shop, uncertainty, mixed (disjunctive) graph, stability analysis

Efficient similarity-based operations for data integration

Similarity-based operations, similarity join, similarity grouping, data integration

Data-driven system identification via evolutionary retrieval of Takagi-Sugeno fuzzy models

Systemidentification, evolutionary automatic, data-driven model, fuzzy Takagi-Sugeno grammar, genotype interpretability, toxicity-prediction

Spatial data mining in precision agriculture

Magdeburg, Univ., Fak. für Informatik, Diss., 2012

Variations and application conditions of the data type "Image" : the foundation of computational visualistics

Visualistics, computer science, picture syntax, picture semantics, picture pragmatics, interactive pictures

Visual data analysis in air traffic management

Visual data mining, multi-dimensional scaling, POLARMAP, Sammon's mapping, clustering, outlier detection

Education to a Healthy Lifestyle Improves Symptoms and Cardiovascular Risk Factors – AsuRiesgo Study

Background: Cardiovascular diseases are the current leading causes of death and disability globally. Objective: To assess the effects of a basic educational program for cardiovascular prevention in an unselected outpatient population. Methods: All participants received an educational program to change to a healthy lifestyle. Assessments were conducted at study enrollment and during follow-up. Symptoms, habits, ATP III parameters for metabolic syndrome, and American Heart Association’s 2020 parameters of cardiovascular health were assessed. Results: A total of 15,073 participants aged ≥ 18 years entered the study. Data analysis was conducted in 3,009 patients who completed a second assessment. An improvement in weight (from 76.6 ± 15.3 to 76.4 ± 15.3 kg, p = 0.002), dyspnea on exertion NYHA grade II (from 23.4% to 21.0%) and grade III (from 15.8% to 14.0%) and a decrease in the proportion of current active smokers (from 3.6% to 2.9%, p = 0.002) could be documented. The proportion of patients with levels of triglycerides > 150 mg/dL (from 46.3% to 42.4%, p < 0.001) and LDL cholesterol > 100 mg/dL (from 69.3% to 65.5%, p < 0.001) improved. A ≥ 20% improvement of AHA 2020 metrics at the level graded as poor was found for smoking (-21.1%), diet (-29.8%), and cholesterol level (-23.6%). A large dropout as a surrogate indicator for low patient adherence was documented throughout the first 5 visits, 80% between the first and second assessments, 55.6% between the second and third assessments, 43.6% between the third and fourth assessments, and 38% between the fourth and fifth assessments. Conclusion: A simple, basic educational program may improve symptoms and modifiable cardiovascular risk factors, but shows low patient adherence.

Evolution of Cardiovascular Diseases Mortality in the Counties of the State of Rio de Janeiro from 1979 to 2010

Background: Cardiovascular Diseases (CVD) are the leading cause of death in Brazil. Objective: To estimate total CVD, cerebrovascular disease (CBVD), and ischemic heart disease (IHD) mortality rates in adults in the counties of the state of Rio de Janeiro (SRJ), from 1979 to 2010. Methods: The counties of the SRJ were analysed according to their denominations stablished by the geopolitical structure of 1950, Each new county that have since been created, splitting from their original county, was grouped according to their former origin. Population Data were obtained from the Brazilian Institute of Geography and Statistics (IBGE), and data on deaths were obtained from DataSus/MS. Mean CVD, CBVD, and IHD mortality rates were estimated, compensated for deaths from ill-defined causes, and adjusted for age and sex using the direct method for three periods: 1979–1989, 1990–1999, and 2000–2010, Such results were spatially represented in maps. Tables were also constructed showing the mortality rates for each disease and year period. Results: There was a significant reduction in mortality rates across the three disease groups over the the three defined periods in all the county clusters analysed, Despite an initial mortality rate variation among the counties, it was observed a homogenization of such rates at the final period (2000–2010). The drop in CBVD mortality was greater than that in IHD mortality. Conclusion: Mortality due to CVD has steadily decreased in the SRJ in the last three decades. This reduction cannot be explained by greater access to high technology procedures or better control of cardiovascular risk factors as these facts have not occurred or happened in low proportion of cases with the exception of smoking which has decreased significantly. Therefore, it is necessary to seek explanations for this decrease, which may be related to improvements in the socioeconomic conditions of the population.

Online-Data-Mining auf Datenströmen : Methoden zur Clusteranalyse und Klassifikation

Online Data Mining, Data Streams, Classification, Clustering

stochastic method for automated matching of horizons across a fault in 3D seismic data

Seismic analysis, horizon matching, fault tracking, marked point process,stochastic annealing

Data mining in diagnostic charts and treatment outcome prediction for vision restoration therapy

Data Mining, Vision Restoration, Treatment outcome prediction, Self-Organising-Map