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.


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Nakata M.,Josai International University | Sakai H.,Kyushu Institute of Technology
Proceedings - 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems and 2016 17th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2016 | Year: 2016

Rough sets and rule induction are formulated by directly using indiscernibility relations in information tables. First, we describe them in information tables with complete information. Second, they are shown on the basis of possible world semantics from the viewpoint of certainty and possibility, as was done by Lipski in the field of databases, in order to examine the fundamentals of rough sets and rule induction under incomplete information. As a result, we have the four approximations: certain lower, certain upper, possible lower, and possible upper ones. The certain lower and upper approximations are the lower bounds of the actual ones and also the possible lower and upper ones the upper bounds. Using these four approximations, the lower and upper approximations are expressed by interval sets. Third, the approach based on indiscernibility relations is extended in the case where objects that are characterized by incomplete information approximate a set of objects with incomplete information. The extended approach derives the same rough sets and rule induction as ones obtained from possible world semantics. This justifies our extension. © 2016 IEEE.


Tewari R.K.,Chiba University | Watanabe D.,Chiba University | Watanabe D.,Josai International University | Watanabe M.,Chiba University
Planta | Year: 2012

Despite extensive research over the past years, regeneration from protoplasts has been observed in only a limited number of plant species. Protoplasts undergo complex metabolic modification during their isolation. The isolation of protoplasts induces reactive oxygen species (ROS) generation in Brassica napus leaf protoplasts. The present study was conducted to provide new insight into the mechanism of ROS generation in B. napus leaf protoplasts. In vivo localization of H 2O 2 and enzymes involved in H 2O 2 generation and detoxification, molecular antioxidant-ascorbate and its redox state and lipid peroxidation were investigated in the leaf and isolated protoplasts. Incubating leaf strips in the macerating enzyme (ME) for different duration (3, 6, and 12 h) induced accumulation of H 2O 2 and malondialdehyde (lipid peroxidation, an index of membrane damage) in protoplasts. The level of H 2O 2 was highest just after protoplast isolation and subsequently decreased during culture. Superoxide generating NADPH oxidase (NOX)-like activity was enhanced, whereas superoxide dismutase (SOD) and ascorbate peroxidase (APX) decreased in the protoplasts compared to leaves. Diaminobenzidine peroxidase (DAB-POD) activity was also lower in the protoplasts compared to leaves. Total ascorbate content, ascorbate to dehydroascorbate ratio (redox state), were enhanced in the protoplasts compared to leaves. Higher activity of NOX-like enzyme and weakening in the activity of antioxidant enzymes (SOD, APX, and DAB-POD) in protoplasts resulted in excessive accumulation of H 2O 2 in chloroplasts of protoplasts. Chloroplastic NADPH oxidase-like activity mediated perpetual H 2O 2 generation probably induced apoptotic-like cell death of B. napus leaf protoplasts as indicated by parallel DNA laddering and decreased mitochondrial membrane potential. © 2011 Springer-Verlag.


Nakata M.,Josai International University | Sakai H.,Kyushu Institute of Technology
Communications in Computer and Information Science | Year: 2014

Rough approximations, which consist of lower and upper approximations, are described under objects characterized by possibilistic information that is expressed by a normal possibility distribution. Concepts of not only possibility but also certainty are used to construct an indiscernibility relation. First, rough approximations are shown for a set of discernible objects by using the indiscernibility relation. Next, a set of objects characterized by possibilistic information is approximated. Consequently, rough approximations consist of objects with a degree expressed by an interval value where lower and upper degrees mean the lower and the upper bounds of the actual degree. This leads to the complementarity property linked with lower and upper approximations in the case of a set of discernible objects, as is valid under complete information. Furthermore, a criterion is introduced to judge whether or not an object is regarded as supporting rules. By using the criterion, we can select only objects that are regarded as inducing rules. © Springer International Publishing Switzerland 2014.


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.


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.


Nakata M.,Josai International University | Sakai H.,Kyushu Institute of Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2011

A method of possible equivalence classes has been developed under information tables with missing values. To deal with imprecision of rough approximations that comes from missing values, the concepts of certainty and possibility are used. When an information table contains missing values, two rough approximations, certain and possible ones, are obtained. The actual rough approximation lies between the certain and possible rough approximations. The method gives the same results as a method of possible worlds. This justifies the method of possible equivalence classes. Furthermore, the method is free from the restriction that missing values may occur to only some specified attributes. Hence, we can use the method of possible equivalence classes to obtain rough approximations between arbitrary sets of attributes having missing values. © 2011 Springer-Verlag.


Nakata M.,Josai International University | Sakai H.,Kyushu Institute of Technology
Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013 | Year: 2013

How rules are induced on the basis of rough sets has been examined in possibilistic information systems where attribute values are expressed by normal possibility distributions. We cannot obtain the unique membership degree of an object for rough approximations in the possibilistic information systems. Instead, we can derive certain and possible membership degrees to which an object certainly and possibly belongs to rough approximations. The certain and possible membership degrees are lower and upper bounds of the actual membership degree. Using the certain and possible membership degrees, we express rough approximations in possibilistic information systems. The rough approximations consist of objects with membership degrees described by not a single, but an interval value. This leads to that lower and upper approximations are linked with each other. Next, we show that it is not sufficient to use the rough approximations in order to obtain objects certainly supporting a rule. To solve the difficulty, we formulate rough approximations under considering characteristic values of equivalence classes. Furthermore, we introduce a criterion for valuable rules. Our approach is free from the restriction that possibilistic information appears in some specified attributes. Therefore, we can induce valuable rules that hold between arbitrary set of attributes in possibilistic information systems. © 2013 IEEE.


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

We have been proposing a framework rough Nondeterministic information analysis, which considers granular computing concepts in tables with incomplete and nondeterministic information, as well as rule generation. We have recently defined an expression named division chart with respect to an implication and a subset of objects. Each division chart takes the role of the minimum granule for rule generation, and it takes the role of contingency table in statistics. In this paper, we at first define a division chart in deterministic information systems (DISs) and clarify the relation between a division chart and a corresponding implication. We also consider a merging algorithm for two division charts and extend the relation in DISs to nondeterministic information systems. The relation gives us the foundations of rule generation in tables with nondeterministic information. © 2013 Wiley Periodicals, Inc.


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.


Shingaki T.,Josai International University | Nimura N.,Josai International University
Protein Expression and Purification | Year: 2011

Cell-free protein synthesis systems are powerful tools for protein expression, and allow large amounts of specific proteins to be obtained even if these proteins are detrimental to cell survival. In this report we describe the effect of cysteine on cell-free protein synthesis. The addition of cysteine caused a 2.7-fold increase in the level of synthesized glutathione S-transferase (GST). Moreover, the levels of sulfhydryl group reductants, including reduced glutathione and dithiothreitol (DTT), were increased 1.9- and 1.7-fold, respectively, whereas levels of the disulfide dimers, cystine and oxidized glutathione, were suppressed 87% and 66%, respectively. These trends were also observed for green fluorescent protein (GFP) expression. The addition of cysteine competitively reversed the inhibitory effect of cystine on protein expression. These results suggest that the sulfhydryl group in cysteine plays a crucial role in enhancing protein synthesis, and that the addition of excess cysteine could be a convenient and useful method for improving protein expression. © 2011 Elsevier Inc. All rights reserved.

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