A5083806306- Metabolomics and Mass Spectrometry Studies
- Adipose Tissue and Metabolism
- Advanced Clustering Algorithms Research
- Computational Drug Discovery Methods
- Occupational Health and Performance
- Metaheuristic Optimization Algorithms Research
- Time Series Analysis and Forecasting
- Advanced Chemical Sensor Technologies
- Data Management and Algorithms
- Cybersecurity and Information Systems
- Traditional Chinese Medicine Studies
- Fuzzy Logic and Control Systems
- Higher Education Learning Practices
- Data Visualization and Analytics
- Mental Health Research Topics
- Human Resource Development and Performance Evaluation
- Diet and metabolism studies
- Advanced Scientific Research Methods
- Engineering Diagnostics and Reliability
- Competency Development and Evaluation
University of Žilina
2018-2020
The prevalence of some chronic diseases, such as cancer or neurodegenerative disorders, differs between sexes. Animal models provide an important tool to adopt potential therapies from preclinical studies humans. Laboratory rats are the most popular animals in toxicology, neurobehavioral, research. Our study aimed reveal basic differences blood metabolome (amino acids, biogenic amines, and acylcarnitines) adult male (n = 10) female Wistar rats. Partial least square-discrimination analysis...
Analysis of any system requires its mathematical model. One the possible models reliability engineering is structure function. The function shows a correlation between performance levels and components. determines level according to states In this paper, new method construction proposed. fuzzy random forest used transform data real behavior This allows handling incompletely specified uncertain data.
Application of metabolomics for the study some diseases could include identification prognosis a diagnostic markers disease. Depression is disease that disrupts metabolism. Our aimed to use approaches investigation stress-induced depression. For processing our data, which we have obtained by measuring concentrations metabolites (Amino Acids, Biogenic Amines, Acylcarnitines, Lysophosphatidylcholines, Phosphatidylcholines, Sphingomyelins, and Hexoses) in blood plasma depressive rats,...
Data mining techniques are applied to a broad spectrum of solutions solve problems through analysis, data acquisition, and prediction. Decision trees most commonly used for classification With the application fuzzy clustering it is possible construct decision tree that more suitable prediction on selected data. In this article, we focus analyzing metabolomics This allows us detect depression has significant influence human reliability. The analysis these shows predict occurrence depression....
The aim of the paper is to improve fuzzy particle swarm optimization. Our modification consists modifying hybrid optimization by replacing random initialization centers in c-means section with FCM++ algorithm. We experimentally compared our other nature-inspired meta-heuristic algorithms for clustering.
There is an increasing attention to the role that sex/gender plays in health, behavior and outcomes. Even though we know males females are not same, experiments have sometimes been carried out without considering sex scientific research. It essential for scientists clinicians consider differences as one of underlying physiological determinants health disease provide building blocks evidence-based, individualized medicine. Our work aimed reveal sex-associated lipid metabolite levels adult...
Depression is one of the most common mental disorders worldwide. Individual clinical interviews are typically "gold standard" when diagnosing depressive disorders. However, these approaches based on subjective evaluation and have many limitations. In our study, impact metabolomics approach assessment depression evaluated. The data mining techniques classification by fuzzy decision trees were used. We selected three profiles metabolites from groups acylcarnitines, phosphatidylcholines...
FRlskill is a knowledge base management system designated for competence in companies, universities and various other institutions it allows to search employees by any key competencies or time availability. It part of project which focused on HR line managers whose aim create possibilities surveying, evaluating planning organization so that risks are reduced efficiency during acquisition realization enhanced. In this paper, the results have been achieved since 2016 presented, especially...
Since the volume of currently available data is growing from day to day, it necessary design and implement tools for a fast comprehensive gain knowledge datasets created with this data. We can use visualization as one these methods - human easy understand. The presented paper aims web application, which be used interactive gained fuzzification algorithms fuzzy clustering. In user interact system change form input data, parameters, method.