Ultrafast Proteomics.

Current stage of proteomic research in the field of biology, medicine, development of new drugs, population screening, or personalized approaches to therapy dictates the need to analyze large sets of samples within the reasonable experimental time. Until recently, mass spectrometry measurements in proteomics were characterized as unique in identifying and quantifying cellular protein composition, but low throughput, requiring many hours to analyze a single sample. This was in conflict with the dynamics of changes in biological systems at the whole cellular proteome level upon the influence of external and internal factors.

Fuzziness-based active learning framework to enhance hyperspectral image classification performance for discriminative and generative classifiers.

Hyperspectral image classification with a limited number of training samples without loss of accuracy is desirable, as collecting such data is often expensive and time-consuming. However, classifiers trained with limited samples usually end up with a large generalization error. To overcome the said problem, we propose a fuzziness-based active learning framework (FALF), in which we implement the idea of selecting optimal training samples to enhance generalization performance for two different kinds of classifiers, discriminative and generative (e.

[INVESTIGATION OF IRON, ZINC, STABLE STRONTIUM AND LITHIUM CONTENT IN BIOLOGICAL FLUIDS AND TISSUES DURING EXPERIMENTAL SPACE FLIGHT SIMULATION].

In an experiment with space flight simulation, atomic emission spectral analysis with inductively coupled argon plasma was employed to measure iron, zinc, stable strontium and lithium in blood serum and its ultrafiltered fraction, and excretion with daily urine and hair. Monitoring of serum iron and its ultraviolet fraction showed good balance of these parameters in all periods of the experiment. Blood serum was found to contain exclusively iron bound with protein carriers.

[Investigation of the copper content in blood serum and its ultrafiltrate in the conditions of experimental space flight simulation].

In experiment MARS-500 on remote space flight simulation, atomic emission spectral analysis with inductively coupled argon plasma was used to measure serum copper and its ultrafiltration fraction. It was shown that, in contrast to baseline data, the Cu serum level varied within the normal physiological boundaries throughout the entire simulation experiment. These variations were sync in all the serum samples.

[Magnesium level in human organism during 105-day isolation].

Total and ionized magnesium in blood serum and in daily urine were determined before (baseline values) and on days 30, 60 and 105 of the experiment with 105-d isolation and confinement (Mars-105)/ Magnesium in hair was investigated before (baseline values) and on day-105 of the experiment. The investigations were performed using atomic emission spectrometry with inductively coupled argon plasma. Changes in magnesium were most significant over the initial 30 days in the experiment.

Probing the kinetics of photosystem I and photosystem II fluorescence in pea chloroplasts on a picosecond pulse fluorometer.

Picosecond fluorescence kinetics of pea chloroplasts have been investigated at room temperature using a pulse fluorometer with a resolution time of 10-11 s. Fluorescence has been excited by both a ruby and neodymium-glass mode-locked laser and has been reocrded within the 650 to 800 nm spectral region. We have found three-component kinetics of fluorescence from pea chloroplasts with lifetimes of 80, 300 and 4500 ps, respectively.