Publications by authors named "Vladyka A"

Co-flow microfluidics, in addition to its applications in droplet generation, has gained popularity for use with miscible solvent systems (continuous microfluidics). By leveraging the short diffusional distances in miniature devices, processes like nanomaterial synthesis can be precisely tailored for high-throughput production. In this context, the manipulation of flow regimes-from laminar to vortex formation, as well as the generation of turbulent and turbulent jet flows-plays a significant role in optimizing these processes.

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Article Synopsis
  • Machine learning enhances the analysis of X-ray spectroscopy for liquids by utilizing unique structural descriptor families to interpret the local atomistic environment.
  • A benchmark study was conducted on 24,200 simulated sulfur Kβ X-ray emission spectra of aqueous sulfuric acid at varying concentrations to evaluate six descriptor families.
  • The findings indicate that local many-body tensor representation, smooth overlap of atomic positions, and atom-centered symmetry functions significantly improve prediction accuracy, with system concentration being the primary factor influencing the spectra.
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Heavy elements and some nitroimidazoles both exhibit radiosensitizing properties through different mechanisms. In an effort to see how the overall radiosensitivity might be affected when the two radiosensitizers are combined in the same molecule, we studied the gas-phase photodissociation of two brominated nitroimidazoles and a bromine-free reference sample. Synchrotron radiation was employed to initiate the photodynamics and energy-resolved multiparticle coincidence spectroscopy was used to study the ensuing dissociation.

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We report a statistical analysis of Ge K-edge X-ray emission spectra simulated for amorphous GeO at elevated pressures. We find that employing machine learning approaches we can reliably predict the statistical moments of the K'' and K peaks in the spectrum from the Coulomb matrix descriptor with a training set of ∼ 10 samples. Spectral-significance-guided dimensionality reduction techniques allow us to construct an approximate inverse mapping from spectral moments to pseudo-Coulomb matrices.

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In this study, we evaluate different apoproaches to unsupervised classification of cyclic voltammetric data, including Principal Component Analysis (PCA), t-distributed Stochastic Neighbour Embedding (t-SNE), Uniform Manifold Approximation and Projection (UMAP) as well as neural networks. To this end, we exploit a form of transfer learning, based on feature extraction in an image recognition network, VGG-16, in combination with PCA, t-SNE or UMAP. Overall, we find that t-SNE performs best when applied directly to numerical data (noise-free case) or to features (in the presence of noise), followed by UMAP and then PCA.

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We explore the sensitivity of several core-level spectroscopic methods to the underlying atomistic structure by using the water molecule as our test system. We first define a metric that measures the magnitude of spectral change as a function of the structure, which allows for identifying structural regions with high spectral sensitivity. We then apply machine-learning-emulator-based decomposition of the structural parameter space for maximal explained spectral variance, first on overall spectral profile and then on chosen integrated regions of interest therein.

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New gold and lipoic based nanocarriers for the delivery of platinum(ii) and platinum(iv) drugs are developed, which allow enhanced loading of the drug on the surface of the nanocarriers and release in a pH-dependent fashion, with superior release at lower pHs which are associated with many tumours. The conjugate nanoparticles and their conjugates enter cells rapidly (within 3 hours). They tend to cluster in vesicles and are also observed by light and electron microscopies in the cytoplasm, endoplasmic reticulum and nucleus.

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We demonstrate the bottom-up in-situ formation of organometallic oligomer chains at the single-molecule level. The chains are formed using the mechanically controllable break junction technique operated in a liquid environment, and consist of alternating isocyano-terminated benzene monomers coordinated to gold atoms. We show that the chaining process is critically determined by the surface density of molecules.

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Article Synopsis
  • The paper discusses the electronic and optoelectronic properties of ordered nanoparticle arrays connected by molecular linkers, highlighting how these structures can enhance performance in various applications.
  • It emphasizes the importance of molecular linkers in affecting the arrangement and interactions between nanoparticles, which can impact their overall functionality.
  • The correction addresses potential errors or clarifications needed regarding the original findings, ensuring that the scientific community has accurate information for future research.
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Article Synopsis
  • Arrays of metal nanoparticles in an organic matrix have unique electronic and optoelectronic properties, making them a hot topic of research.
  • By using these nanoparticle arrays as templates for single molecules, researchers can control electronic behavior by varying factors like material, size, and spacing between the nanoparticles.
  • The study of hexagonal nanoparticle arrays not only opens up possibilities for practical applications like switching devices and sensors but also provides a platform for exploring collective plasmon resonance effects.
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The paper is concerned with the study of chief markers of endogenous intoxication such as bodily content of medium-weight molecules (MWM) in patients with grave forms of gestoses, as well as with quest for ways of initiating a correcting therapy. Results of complex studies permitted coming to the conclusion that endogenous intoxication in different forms of gestoses runs its course through stages. This validates not only MWM levels but peculiarities of their distribution in erythrocytes, blood plasma and urine of patients as well.

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In mass admission of wounded patients quick rational medical sorting is of primary importance. Anesthesiology and intensive care service performs organization and specific medical work. Gun-shot peritonitis is characterized by initial multiorgan insufficiency and instability of central hemodynamic index.

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The authors have modified R. Flores' method of protein measurements in solutions with bromophenol blue and suggest their modification for measurements of the blood serum total proteins. Experimental and clinical data have confirmed the significant effect of elevated blood levels of glucose and dextrans on the values of blood serum total proteins measured by the common biuret and refractometric methods.

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A special device is developed to purify the conserved blood from microaggregations and toxic agents. It also decreases the CO2 level and the citrate content. The device combines the properties of a microfilter and a sorption column.

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