A Global Sign-Logo Recognition System

In the paper, we present a sign-logo recognition system for detecting meanings of signs and logos existing in a global real space. First, this system finds out the category of a sign-logo image input to the system by the similarity computations with images in the database focusing on the color and shape features of images. Second, the system searches for the information corresponding to the specific sign-logo image. This system makes it possible for a user to find out the meaning and the related information of sign-logos based on the user’s location. This paper also presents several experimental results for sign-logo recognition functions by using actual sign-logo images. Those results clarify the feasibility and the applicability of our system in real world spaces

A Semantically-Related Information-Extraction System of Living

This paper presents a semantically related information-extraction system of living things by the global analysis of spatial, temporal and color information of images. The progress of multimedia, mobile an GIS technology makes it possible to and share various information resources globally. Various kinds of information resources on natural environments of the real world are also existing in a cyber space, and it is becoming possible to support users to acquire the valuable knowledge that bridge user’s fragmentary information about the real world and adequate information on the cyber space. This system realizes the functions for identifying unknown living things contained in a picture image input by a user, through the global analysis of temporal, spatial and color information of this images within a user-selected domain, Given a picture image of a living thing with temporal and spatial information, this system evaluates possible candidates of living things. This system also analyzes color information by calculating correlations between the color distribution of an input image and corresponding sample image data. By these processes, users acquire detailed information such as the name, the habitant and the active period of the living things contained within the given images

Ramseyn teoria

Tiivistelmä. Tässä tutkielmassa käsitellään Ramseyn teorian perusteita. Ramseyn teoria luokitellaan kombinatoriikan osa-alueeseen, joka tutkii tietyt ominaisuudet toteuttavia joukkoja. Ramseyn teoriassa joukon alkiot jaetaan eri luokkiin ja etsitään ehtoa, jolla löytyy tietynlainen struktuuri. Karkeasti ottaen Ramseyn teorian tulokset kertovat, että tietynlainen struktuuri löytyy, kun joukko on tarpeeksi suuri. Tutkielmassa tarkastetaan ensin verkkoihin liittyvää Ramseyn teoriaa. Yksi merkittävimmistä tuloksista tältä alueelta on Ramseyn lause, joka kertoo, että tarpeeksi suuresta verkosta aina löytyy täydellinen osaverkko tai sen komplementti. Ramseyn lauseen ehdon täyttävää pienintä lukua kutsutaan Ramseyn luvuksi. Käydään läpi eräitä Ramseyn luvun ylärajoja antavia lauseita ja määritetään joitakin tarkkoja Ramseyn lukuja. Sen jälkeen käsitellään kokonaislukuihin liittyvää Ramseyn teoriaa. Tässä keskitytään pääosin van der Waerdenin lauseen sekä Hales-Jewett’n lauseen tarkasteluun

An Automatic Feature Extraction Method of Satellite Multispectral Images for Interpreting Deforestation Effects in Soil Degradation

Deforestation is still a major nature phenomenon in our society. For assessing deforestation effect, satellites remote sensing provides a fundamental data for observation. While new remote-sensing technologies are able to represent high-resolution forest mapping, the application is still limited only for detecting and mapping the deforestation area. In this paper, we proposed a new method for automatically extract features of Satellite Multispectral images for interpreting deforestation effect in the context of soil degradation. We proposed an idea to interpret reflected “substances (material)” of bare soil in deforested area in spectrum domain into human language. The objectives of this paper are to (1) recognize the deforestation activity automatically. (2) Identify deforestation causes and examines the deforestation effect based on deforestation causes. (3) Scrutinize deforestation effects on soil degradation. (4) Representing nature knowledge of deforestation effect in human language using semantic computing, to bring the clear, comprehensible knowledge even for people who are not familiar with forestry. As for the experimental study, Riau Tropical Forest has been selected as the study area, where the multispectral data was acquired by using Landsat 8 Satellite between 2013 and 2014; Where forest fire and logging activities are reported and detected

Neuroprotective DAMPs member prothymosin alpha has additional beneficial actions against cerebral ischemia-induced vascular damages

AbstractProthymosin alpha (ProTα) suppresses stress-induced necrosis of cultured cortical neurons. As neuroprotection alone could not explain the long-lasting protective actions against cerebral ischemia by ProTα, we further examined whether ProTα, in addition to neuroprotective effects, has other anti-ischemic activities. When recombinant mouse ProTα (rmProTα) at 0.3 mg/kg was intravenously (i.v.) given 2 h after the start of tMCAO, all mice survived for more than 14 days. In evaluation of CD31- and tomato lectin-labeling as well as IgG and Evans blue leakage, rmProTα treatment (0.1 mg/kg) largely blocked ischemia-induced vascular damages. Therefore, rmProTα has novel beneficial effects against ischemia-induced brain damage through vascular mechanisms

A crowdsourcing approach to collecting photo-based insect and plant observation records

Scientific field observation by members of the public is known as citizen science and has become popular all across the world. Citizen science is advantageous for collecting large amounts of scientific data and can be seen as a crowdsourcing approach to data collection. Information and communications technology is enhancing the availability of citizen science. Mobile devices, such as mobile phones, that have a digital camera with a global positioning system (GPS) are necessities for contemporary life and can be utilised as powerful observation tools in citizen science. A web-based system has been developed as a data collection tool for citizen science. Participants submit an e-mail with a photo taken by their mobile phones. The photos contain location information, which can be easily and automatically embedded if the mobile phone is equipped with GPS. Collaboration has been undertaken with regional event managers, such as museum curators and held citizen science events in each region and for various target taxonomic groups. All photos were stored in the data server and the organisms were taxonomically identified by citizen scientists, regional managers and the authors. In total, 154 species and 843 data records were collected in this project conducted from 2011 to 2016

酸化型HMGB-1は間葉系幹細胞/間葉系細胞を介して大腸癌の転移性を促進する

High mobility group box-1 (HMGB1) is known to be a chemotactic factor for mesenchymal stem/stromal cells (MSCs), but the effect of post-translational modification on its function is not clear. In this study, we hypothesized that differences in the oxidation state of HMGB1 would lead to differences in the function of MSCs in cancer. In human colorectal cancer, MSCs infiltrating into the stroma were correlated with liver metastasis and serum HMGB1. In animal models, oxidized HMGB1 mobilized three-fold fewer MSCs to subcutaneous tumors compared with reduced HMGB1. Reduced HMGB1 inhibited the proliferation of mouse bone marrow MSCs (BM-MSCs) and induced differentiation into osteoblasts and vascular pericytes, whereas oxidized HMGB1 promoted proliferation and increased stemness, and no differentiation was observed. When BM-MSCs pretreated with oxidized HMGB1 were co-cultured with syngeneic cancer cells, cell proliferation and stemness of cancer cells were increased, and tumorigenesis and drug resistance were promoted. In contrast, co-culture with reduced HMGB1-pretreated BM-MSCs did not enhance stemness. In an animal orthotopic transplantation colorectal cancer model, oxidized HMGB1, but not reduced HMGB1, promoted liver metastasis with intratumoral MSC chemotaxis. Therefore, oxidized HMGB1 reprograms MSCs and promotes cancer malignancy. The oxidized HMGB1–MSC axis may be an important target for cancer therapy.博士（医学）・甲第874号・令和5年3月15

胃癌におけるクローディン4標的化によるシスプラチン化学療法感受性の向上

Claudins are major tight-junction proteins that mediate cellular polarity and differentiation. The present study investigated whether the 4D3 antibody to the human CLDN4 extracellular domain (that we previously established) is capable of modulating chemotherapeutic sensitivity in gastric cancer (GC). The results of the present study showed that CLDN4 was overexpressed in 137 of the 192 analyzed GC cases, and that CLDN4 expression was retained in tumors of a lower histological grade (more differentiated), and/or those that were caudal-type homeobox protein 2 (CDX2)-positive, but was reduced in more highly undifferentiated, and CDX2-negative GC cases. The study also compared the synergic effects of combining 4D3 with CDDP treatment and knocking down CLDN4 expression in MKN74 and TMK-1 human GC cells. Co-treatment with 4D3 increased anti-tumor effects of CDDP, whereas CLDN4 knockdown did not. In the TMK-1 cells, non-tight junction CLDN4 associated with integrin β1, increasing stem cell-associated proteins via FAK-c-SRC signals. The anti-tumoral effect of CDDP and 4D3 was examined in a nude mouse subcutaneous tumor model. In the two GC cell lines, concurrent treatment with 4D3 and CDDP synergistically inhibited cell proliferation and increased tumor necrosis and apoptosis to a greater degree than CDDP treatment alone. These findings suggest that 4D3 might increase chemotherapeutic sensitivity by evoking structural disintegration of tight-junction CLDN4 expressed in gastric cancer.博士（医学）・甲第713号・令和元年6月26日Copyright: Nishiguchi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0 https://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Organizing Active Learning Models in Science Classes (2)

The purpose of this study is to organize active learning models in science classes. Through classroom practice from elementary school to upper secondary school, we observed the followings: 1) the "reciprocal of internalization and externalization," which means collaborative and cooperative learning, is the key to active learning in science lessons; 2) by creating a "subject skeleton," teachers can gain clarity regarding the promotion of deep learning and organize active learning models in science classes