Search Results (120)
A Modular Ontology of Data Mining
The domain of data mining (DM) deals with analyzing different types of data. The data typically used in data mining is in the format of a single table, with primitive datatypes as attributes. However, structured (complex) data, such as graphs, sequences, networks, text, image, multimedia and relational data, are receiving …
Synthesis and functionalisation of one-dimensional titanate-based nanostructures
One-dimensional hydrothermally synthesized nanostructures such as nanotubes and nanobelts composed of layered titanates from A2TinO2n+1 family have attracted great interest due to their high specific surface area, ion-exchange ability and semiconducting properties, which make them promising candidates for potential applications in the field of catalysis, gas sensors, dye-sensitized solar cells, …
Determination of steroid estrogens in environmental samples using chemical analysis (GC-MSD) and an in vitro estrogenicity assay (ER-Calux®)
The presence of steroid estrogens in the environment has been studied intensively for two decades because of their possible deleterious effects on living organisms at very low (ng/L) concentrations. To determine concentrations of steroid estrogens and the estrogenic potential of environmental samples, sophisticated and sensitive analytical techniques as well as …
Effect of N-glycosylation on plasma glutamate carboxypeptidase function
Plasma glutamate carboxypeptidase (PGCP) is a metalloproteinase. It is able to hydrolyze dipeptides into free amino acids. The enzyme is involved in the release of hormone thyroxin (T4) from Thyroglobulin (Tg), as suggested by thyroid gland studies. Prediction from the primary structure of human PGCP suggests the presence of five …
Controlled synthesis of TiO2 nanoparticles and their application in photovoltaics
Titanium dioxide (TiO2) in nanoparticle form has recently gained a lot of attention, in both the scientific and industrial communities. This is due to the fact that it exhibits various interesting chemical and physical characteristics, for example, a high photocatalytic activity and the absorption of incident UV light. Many applications …
Development of silicon carbide based implants with improved biocompatibility and mechanical properties
With emerging need for orthopaedic implants and prolonged exposure of organism to implants also problems connected to elution of metal ions that in some cases cause adverse reactions in the human body, emerge. The main aim of our work was therefore to investigate the potential of silicon carbide (SiC) to …
Functionalization of magnetic nanoparticles for biomedical applications
The application of magnetic nanoparticles in biomedicine dictates the preparation of properly arranged nanoparticles. The preparation of a stable colloidal suspension of nanoparticles in complex biological media is a prerequisite for all types of applications. Depending on the type of application, the proper coating, functionalization and (bio)conjugation of the nanoparticles …
Extension of the range of primary vacuum calibration methods with the use of nonevaporable getters
Measurement of ultrahigh vacuum (UHV) and extremely high vacuum (XHV) is important in many advanced research and technology fields such as: equipment for surface analysis, particle accelerators, simulation of interstellar space, processing of advanced semiconductors, electron tubes, FE displays, etc. For traceable calibrations of UHV and XHV gauges we need …
Magnetically oriented films of barium ferrite
This work had three aims. In the first part the influences of the sizes of the particles of barium ferrite (BaM) and their magnetic properties on the stability of the suspension were investigated. In second part the deposits were prepared by electrophoretic deposition (EFN) and the influence of particle size, …
Searching for Credible Relations in Machine Learning
Can a model constructed by machine learning or data mining programs be trusted? For example, it is known that a decision tree model can contain less-credible parts caused by pathologies in induction algorithms, noise and missing values in data, or simply because of the complexity of a domain. Such models …