The Fine Structure of K-Series X-Ray Emission Spectra of the Elements Mn (25)-Zn (30) and Ge (32)

The fine structure of the x-ray emission spectra K_α and K_β, obtained by bent crystal spectrographs, of the elements Mn (25)?Zn (30) and Ge (32) were microphoto-metrically investigated, and the wave-lengths of many weak lines have been determined. The measurement of the intensity distributions of these spectra was also carried out by the photogram-microphotometer method, and it has been confirmed that the accuracy of the results is comparable to that obtained by the double crystal spectrometer. Next, resolutions of the lines K_, K_, and K_ into their component lines were tried. In consequence, it has been shown that the structures of these lines may be considered to have some correlation with one another. The use of the net planes which give rise to reflections of large dispersion and an auxiliary lens which reduces the photographic grain effect on the microphotometric curve facilitated the perfotmance of this experiment

Visual Place Recognition From Eye Reflection

The cornea in the human eye reflects incoming environmental light, which means we can obtain information about the surrounding environment from the corneal reflection in facial images. In recent years, as the quality of consumer cameras increases, this has caused privacy concerns in terms of identifying the people around the subject or where the photo is taken. This paper investigates the security risk of eye corneal reflection images: specifically, visual place recognition from eye reflection images. First, we constructed two datasets containing pairs of scene and corneal reflection images. The first dataset is taken in a virtual environment. We showed pre-captured scene images in a 180-degree surrounding display system and took corneal reflections from subjects. The second dataset is taken in an outdoor environment. We developed several visual place recognition algorithms, including CNN-based image descriptors featuring a naive Siamese network and AFD-Net combined with entire image feature representations including VLAD and NetVLAD, and compared the results. We found that AFD-Net+VLAD performed the best and was able to accurately determine the scene in 73.08% of the top-five candidate scenes. These results demonstrate the potential to estimate the location at which a facial picture was taken, which simultaneously leads to a) positive applications such as the localization of a robot while conversing with persons and b) negative scenarios including the security risk of uploading facial images to the public

Parametric analysis of flux creep-flow model by using genetic algorithm

The pinning parameters for numerical calculation based on the flux creep-flow model are determined by using genetic algorithm (GA), which has been applied to many practical determination for parameters. Several estimation functions which describe the distance between the experimental and calculated results by GA were proposed, and the difference between the results were calculated. It is found that the pinning parameters of the flux creep-flow model are successfully deduced by GA. The difference between the calculated and experimental results and the calculation time are found to be largely depended on the estimation functions.Proceedings of the 24th International Symposium on Superconductivity (ISS 2011), October 24-26, 2011, Tokyo, Japa

Highly Invasive Intracranial Malignant Schwannoma in a Rat

A highly invasive intracranial malignant schwannoma containing several masses was detected in a 28-week-old male Crl:CD(SD) rat. Macroscopically, 3 masses were noted in the cranial cavity; one was present at the bottom of the cranial cavity and involved the trigeminal nerve, and the other two were in the parietal bone. Histologically, each mass consisted of fusiform cells with interlacing fascicular, wavy and nuclear pseudopalisading arrangements and round cells with cystic lesions. The tumor cells invaded not only the brain but also the parietal bone. In the brain, the tumor cells infiltrated diffusely into the leptomeningeal and perivascular spaces and parenchyma, in which the tumor cell morphology and invasive pattern closely resembled those of malignant astrocytoma and malignant reticulosis. Immunohistochemically, the tumor cells in the masses showed positive reactions for both S-100 protein and GFAP, while those in the cerebral invasion sites were negative for GFAP and less positive for S-100 protein. Electron microscopically, a single basal lamina layer and short intricate cell processes were confirmed in the tumor cells. From these results, the present tumor was diagnosed as a malignant schwannoma arising in the cranial cavity, probably originating from the trigeminal nerve. The present tumor is considered to be a relatively unique malignant schwannoma based on its growth and invasion patterns

Validating the Effects of Inclusive Childcare with the Interaction Rating Scale

Abstract This study aimed to validate the effects of inclusion in center-based childcare, focusing on the inclusion of children with disabilities. One hundred thirty-eight 3 to 12-year-olds participated in this study. Participants were required to complete a 5-minute interaction session and were evaluated using the Interaction Rating Scale between Children (IRSC) as an evidence-based practical index of social skills. Significantly higher IRSC self-control scores were observed in interactions between typically developing children and children with disabilities than in normal children pairs. Additionally, behaviors reflecting the IRSC items, "explains his/her opinion logically" and "explains his/her opinion based on the level of competence/ability of the partner" were more frequently observed in interactions involving peers with disabilities than in those involving only typically developing peers. These results suggest that inclusive childcare may be effective in enhancing child social competence, especially self-control and flexibility/adaptability, depending on interaction partners' needs for care