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Togane, Japan

Josai International University , JIU, is a private university established in 1992, with two campuses, one in Tōgane, Chiba Prefecture, Japan, and one in Kioicho, Chiyoda-ku, and a smaller learning center in Awa Kamogawa.Undergraduate programs include International Humanities, Japanese Language, Management and Information Science, Media Studies, Nursing, Pharmaceutical science, Social and Environmental Studies, Social Work Studies, and Tourism. Graduate programs offer degrees in Humanities , Management and Information science , Social Work , Business Design , and Pharmaceutical Science . Wikipedia.


Sakai H.,Kyushu Institute of Technology | Wu M.,Kyushu Institute of Technology | Nakata M.,Josai International University
Fundamenta Informaticae | Year: 2014

This paper discusses issues related to incomplete information databases and considers a logical framework for rule generation. In our approach, a rule is an implication satisfying specified constraints. The term incomplete information databases covers many types of inexact data, such as non-deterministic information, data with missing values, incomplete information or interval valued data. In the paper, we start by defining certain and possible rules based on non-deterministic information. We use their mathematical properties to solve computational problems related to rule generation. Then, we reconsider the NIS-Apriori algorithm which generates a given implication if and only if it is either a certain rule or a possible rule satisfying the constraints. In this sense, NIS-Apriori is logically sound and complete. In this paper, we pay a special attention to soundness and completeness of the considered algorithmic framework, which is not necessarily obvious when switching from exact to inexact data sets. Moreover, we analyze different types of non-deterministic information corresponding to different types of the underlying attributes, i.e., value sets for qualitative attributes and intervals for quantitative attributes, and we discuss various approaches to construction of descriptors related to particular attributes within the rules' premises. An improved implementation of NIS-Apriori and some demonstrations of an experimental application of our approach to data sets taken from the UCI machine learning repository are also presented. Last but not least, we show simplified proofs of some of our theoretical results. Source


Primary afferent nerve fibers are highly associated with visceral hypersensitivity state of inflammatory bowel disease. Hypersensitivity of afferent fibers occurs during inflammation, and therefore to gain insight into the alteration of receptors and channels, we examined receptors such as 5-HT receptors and transient receptor potential vanilloid type 1 (TRPV1), which are expressed in primary afferent neurons. The current study was designed to investigate the timedependent dynamic changes of 5-HT3receptors, 5-HT4receptors, TRPV1 channels, and 5-HT regulatory factors in DSS-induced colitis model mice. Colitis was induced by 3% dextran sulfate sodium (DSS) solution given as drinking water in C57BL/6J mice. Immunohistochemical analysis and visceromotor responses to colorectal distension were measured during induction of DSS colitis (day 0, 4 and 7). Progress of the inflammation led to down regulation of serotonin transporter immunoreactivities with concomitant increases in 5-HT and tryptophan hydroxylase-1 positive cell numbers. TRPV1-expressing nerve fibers gradually increased during DSS treatment. Abundant non-neuronal TRPV1-immunopositive cell like structure was observed on day 7 of DSS treatment, but not on day 4. The number of 5-HT3receptor-expressing nerve fibers increased in mucosa on day 7. On the other hand, 5-HT4receptor-expressing nerve fibers decreased on day 7. TRPV1 antagonist and 5-HT3receptor antagonist attenuated the visceral hyperalgesia to control level in the DSS-induced colitis model. We made the novel observations of increased neuronal/non-neuronal TRPV1 channel and 5-HT3receptor expression, and decreased 5-HT4receptor expression in mucosa.Moreover, we show that a correlation existed between the mucosal changes and visceral hypersensitivity in experimental colitis. © 2014 The Pharmaceutical Society of Japan. Source


Sanaka M.,Josai International University | Nakada K.,Jikei University School of Medicine
Journal of Smooth Muscle Research | Year: 2010

A stable isotope ([ 13C]) breath test is a promising method for assessing gastric emptying, but it has not been pervasive yet in Japan. We think that there are some barriers to its popularization, including the uncertainty concerning its theoretical backgrounds, the ambiguity of analyzing and interpreting the data, and the lack of standard protocols for breath sampling. The aim of the present review is to break through these barriers. We hope this article could make the [ 13C]-gastric breath test more maneuverable for and more accessible to researchers and clinicians. Source


Wu M.,Kyushu Institute of Technology | Nakata M.,Josai International University | Sakai H.,Kyushu Institute of Technology
Procedia Computer Science | Year: 2013

In Perception-Based Computing (PBC), we face several problems, and the management of incomplete information and inexact data is an important issue to address. We have proposed a framework Rough Non-deterministic Information Analysis (RNIA) for handling tables with non-deterministic information as a kind of incomplete information. Under this framework, we coped with several rough sets-based concepts, and extended the Apriori algorithm to tables with non-deterministic information. We named this algorithm NIS-Apriori. This paper reports the overview of RNIA, NIS-Apriori and our new software getRNIA. This getRNIA gives us to generate rules through the web browser easily. © 2013 The Authors. Source


Nakata M.,Josai International University | Sakai H.,Kyushu Institute of Technology
International Journal of General Systems | Year: 2013

A method using possible equivalence classes has been developed on information tables with missing values. The method essentially differs from the other methods in having the two features. One is to directly deal with missing values by using not actual but possible equivalence classes. The other is to consider both aspects of discernibility and indiscernibility of a missing value from another value. When information tables contain incomplete information, rough approximations are not unique. We have lower and upper bounds of the actual rough approximations. The lower and upper bounds correspond to certain and possible rough approximations, respectively. Therefore, rough approximations are twofold under incomplete information. The certain and possible rough approximations are linked with each other. The method creates the same rough approximations as the method of possible worlds. This justifies the method of possible equivalence classes. The method is free from the difficulty of computational complexity for the growth of the number of missing values. Furthermore, the method is free from the restriction that missing values may occur for only some specified attributes. Therefore, we can efficiently obtain certain and possible rough approximations between arbitrary sets of attributes having missing values. © 2013 Taylor and Francis Group, LLC. Source

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