We present characterization of atmospheric pressure Ar streamer jet, diagnostics of physico-chemical properties of Plasma Activated Water (PAW), and modeling of Reactive Oxygen and Nitrogen Species (RONS) deposited in PAW. Additional focus is on the toxicity of the created PAW to model plant Lemna minor. The streamer jet is characterized by analyzing electrical properties, gas-phase characteristics through plasma emission, and laser-induced fluorescence of OH(X) radicals. Measured OH densities are in the range of 10(20) m(-3) depending on the mean power deposited to plasma. Gas phase species are linked to measured RONS concentrations, while modeling results confirmed the production mechanisms of H2O2, NO2- and NO3- species. Experiments with Lemna minor show both favorable and negative effects of PAW depending on the PAW concentration.
A recurrent neural network (RNN) system based on a Hopfield neural network (HNN) was developed to extract essential spectral patterns from the time-of-flight secondary ion mass spectrometry (ToF-SIMS) spectra of peptide samples. Because ToF-SIMS produces various fragment ions from organic molecules, the interpretation of ToF-SIMS spectra is generally complicated. ToF-SIMS is useful for peptide analysis because it detects specific amino acid fragment ions from peptides that indicate peptide information. However, the ToF-SIMS spectra also contain fragment ions that do not preserve the main structures of the original molecules, which makes them difficult to interpret. Therefore, it is crucial to extract essential spectral patterns from the ToF-SIMS spectra of organic materials. Peptides were selected as the target organic materials for this study due to their systematic chemical structures. A modified HNN was trained on the ToF-SIMS spectra of each peptide, and the trained HNNs were then used to recall patterns for various peptide ToF-SIMS spectra. The results show that the modified HNN recall essential spectra containing specific ions, including the protonated molecular ions and amino acid fragment ions of target peptides. Furthermore, the HNN results revealed differences and similarities between peptides with similar and different amino acid sequences. Thus, this study demonstrates the effectiveness of the HNN in interpreting complex spectra and its potential for preprocessing data for further analysis.
We investigated the effects of a prolonged interim heat treatment (IHT) during the preparation of BaZrO3-doped (Y,Gd)Ba2Cu3Oy (YGdBCO) multi-coating films via a trifluoroacetate-based metal organic deposition (TFA-MOD) method. Excessively long IHT was found to lead to degradation of the critical current density (Jc) in the films because of the presence of outer growth grains with non-c-axis orientations. Analyses by x-ray diffraction and transmission electron microscopy showed that coarsened CuO particles were distributed in the film after the long IHT. These coarsened CuO particles induced local elemental inhomogeneity at the growing YGdBCO interface, and the growth of outer growth grains was observed throughout the film, in addition to grains epitaxially growth from the CeO2 buffer layer.
We present the design and implementation of a web page that allows access to private information, such as the availability of professors in their office, only when it is accessed from a specific location (e.g., entrance hall of a building on a university campus). The web page initially contains no private information; instead, it contains some buttons to request it. When one of the buttons is tapped by a user, a JavaScript function acquires a short-time password broadcast by a Bluetooth Low Energy beacon installed at the location and sends it to the web server. If the password is valid, the web server returns the private information, which is used to replace the button labels. Access to the private information is thus limited to those present at the specific location. The ability to check the availability of professors in advance will save students and visitors time and effort.
We consider the Courant-Hilbert (CH) construction of integrable deformations of a two-dimensional principal chiral model (2D PCM) in the context of the four-dimensional Chern-Simons (4D CS) theory. According to this construction, an integrable deformation of 2D PCM is characterized by a boundary function. As a result, the master formula obtained from the 4D CS theory should be corrected by the trace of the energy-momentum tensor so as to support the CH construction. We present some examples of deformation including the \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$T\overline{T }$$\end{document}-deformation, the root \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$T\overline{T }$$\end{document}-deformation, the two-parameter mixed deformation, and a logarithmic deformation. Finally, we discuss some generalizations and potential applications of this CH construction.
