Variations on the Supersymmetric Q6 Model of Flavor

We observe that a recently proposed supersymmetric model with Q6 flavor symmetry admits a new CP violating ground state. A new sum rule for the quark mixing parameters emerges, which is found to be consistent with data. Simple extensions of the model to the neutrino sector suggest an inverted hierarchical mass spectrum with nearly maximal CP violation (|delta_{MNS}| simeq pi/2). Besides reducing the number of parameters in the fermion sector, these models also provide solutions to the SUSY flavor problem and the SUSY CP problem. We construct a renormalizable scalar potential that leads to the spontaneous breaking of CP symmetry and the family symmetry.Comment: 22 pages, 7 figure

体育授業における「リフレクション」の実態と変容に関する研究

広島大学(Hiroshima University)博士(教育学)Doctor of Philosophy in Educationdoctora

OCTAD-S: Digital Fast Fourier Transform Spectrometers by FPGA

We have developed a digital fast Fourier transform (FFT) spectrometer made of an analog-to-digital converter (ADC) and a field-programmable gate array (FPGA). The base instrument has independent ADC and FPGA modules, which allow us to implement different spectrometers in a relatively easy manner. Two types of spectrometers have been instrumented, one with 4.096 GS/s sampling speed and 2048 frequency channels and the other with 2.048 GS/s sampling speed and 32768 frequency channels. The signal processing in these spectrometers has no dead time and the accumulated spectra are recorded in external media every 8 ms. A direct sampling spectroscopy up to 8 GHz is achieved by a microwave track-and-hold circuit, which can reduce the analog receiver in front of the spectrometer. Highly stable spectroscopy with a wide dynamic range was demonstrated in a series of laboratory experiments and test observations of solar radio bursts.Comment: 20 pages, 7 figures, accepted for publication in Earth, Planets and Spac

Quantum tangent kernel

Quantum kernel method is one of the key approaches to quantum machine learning, which has the advantages that it does not require optimization and has theoretical simplicity. By virtue of these properties, several experimental demonstrations and discussions of the potential advantages have been developed so far. However, as is the case in classical machine learning, not all quantum machine learning models could be regarded as kernel methods. In this work, we explore a quantum machine learning model with a deep parameterized quantum circuit and aim to go beyond the conventional quantum kernel method. In this case, the representation power and performance are expected to be enhanced, while the training process might be a bottleneck because of the barren plateaus issue. However, we find that parameters of a deep enough quantum circuit do not move much from its initial values during training, allowing first-order expansion with respect to the parameters. This behavior is similar to the neural tangent kernel in the classical literatures, and such a deep variational quantum machine learning can be described by another emergent kernel, quantum tangent kernel. Numerical simulations show that the proposed quantum tangent kernel outperforms the conventional quantum kernel method for an ansatz-generated dataset. This work provides a new direction beyond the conventional quantum kernel method and explores potential power of quantum machine learning with deep parameterized quantum circuits.Comment: 7 pages, 4 figure

Effects of a synthetic protease inhibitor (gabexate mesilate) and a neutrophil elastase inhibitor (sivelestat sodium) on acid-induced lung injury in rats

The present study was designed to examine the combined effects of a synthetic protease inhibitor, gabexate mesilate, with a specific neutrophil elastase inhibitor, sivelestat sodium, on acid-induced lung injury. Adult male Sprague-Dawley rats weighing 300-350 g were anaesthetised intraperitoneally with pentobarbitone sodium and the right jugular vein was cannulated. Following tracheostomy, rats were ventilated mechanically and underwent intratracheal instillation of hydrochloric acid (HCl, 0.1 N 1.5 ml/kg) or normal saline. Gabexate mesilate (10 mg/kg, i.p.) and/or sivelestat sodium (10 mg/kg/h, i.v.) were administered 30 min before HCl instillation. Bronchoalveolar lavage fluid samples were obtained 5 h after HCl instillation. in bronchoalveolar lavage fluid, the HCl-induced increases in total nucleated cell counts, neutrophil counts, optical density at 412 nm as an index of pulmonary haemorrhage, concentrations of albumin and cytokine-induced neutrophil chemoattractant (CINC) were significantly attenuated by either gabexate mesilate or sivelestat sodium treatment. Gabexate mesilate or sivelestat sodium treatment also significantly attenuated the wet to dry weight ratio induced by HCl. However, combined treatment with both gabexate mesilate and sivelestat sodium did not show additive effects on HO-induced lung injury, compared with single treatments. These findings suggested that gabexate mesilate and sivelestat sodium each exhibited protective effects on acid-induced lung injury, but that synergistic effects of both agents are limited in this acid-induced lung injury model.ArticleEUROPEAN JOURNAL OF PHARMACOLOGY. 641(2-3):220-225 (2010)journal articl

Content analysis of motion descriptions : Focusing on the relationship between motion information and acquisition of motor skills on the gymnastics in physical education lessons

This research clarifies the relationship between the motion information provided by elementary school students and their acquisition of motor skills in physical education lessons. Elementary school second graders were asked to describe in writing the skills they observed in a video on the gymnastics that they were show before and after the physical education lessons. We then compared the contents of the written observations of two groups of graders: one that developed motor skills and one that failed to develop motor skills after the lessons. An analysis of their written descriptions revealed the following: (1) A combination of pair practice and evaluation criteria, adopted by the teacher to help students recognize the development of their motor skills, made them focus attention after the lessons on the motions they had difficulty observing before the lessons. (2) The group that developed motor skills after the lessons gave more descriptions of core skill aspects, while the group that failed to develop motor skills after the lessons did not show any difference in their descriptions of skill aspects before and after the lessons