Culture Based Preference for the Information Feeding Mechanism in Online Social Networks

Online Social Networks (OSNs) have recently been playing an important role in communication. From the audience aspect, they enable audiences to get unlimited information via the information feeding mechanism (IFM), which is an important part of the OSNs. The audience relies on the quantity and quality of the information served by it. We found that existing IFMs can result in two problems: information overload and cultural ignorance. In this paper, we propose a new type of IFM that solves these problems. The advantage of our proposed IFM is that it can filter irrelevant information with consideration of audiences' culture by using the Naïve Bayes (NB) algorithm together with features and factors. It then dynamically serves interesting and important information based on the current situation and preference of the audience. This mechanism helps the audience to reduce the time spent in finding interesting information. It can be applied to other cultures, societies and businesses. In the near future, the audience will be provided with excellent, and less annoying, communication. Through our studies, we have found that our proposed IFM is most appropriate for Thai and some groups of Japanese audiences under the consideration of audiences' culture

Linking the Information Sharing Process to the Business Process in

リサーチレポート（北陸先端科学技術大学院大学情報科学研究科）本文は図書館に配架されています。 / This material is stored in the JAIST library

Constructing high availability network systems

Recently scale of LAN systems is rapidly increasing, and integrated network systems are required to improve usability and reduce maintenance cost. However there are many problems to construct the integrated networks such as network design, network connection for file servers and designing application servers. This paper addresses schemes for integrated network systems based on a real integrated network in our university. Network designing policy, routing schemes for central huge file servers and high availability schemes for application servers are discussed. Our proposal for network design is construction with two different generation network facilities to avoid hardware and software failure. For file servers which has many network interface to improve bandwidth, many routing algorithms are standardized to select network interface for packets from file servers, but there are no effective implementation for client which throw packets toward file servers. We propose network interface selecting method that looks up optimal interface in NIS maps and set as "automount" arguments. We implement these approaches on our network and evaluate its efficacy under real network system operation. In consequence, routing schemes for file servers can reduce roundabout routing.リサーチレポート（北陸先端科学技術大学院大学情報科学研究科

Constructing high availability application servers

Application servers such as a mail server in the integrated network are required high availability because the server failure stops all systems in the network. Adding redundant network interfaces and service program, our application server keeps their service when a server get into troubled. We implement these approaches on our network and evaluate its efficacy under real network system operation. In consequence, routing schemes for file servers can reduce roundabout routing, and high availability application servers have been continued minimum level services for users in the network.リサーチレポート（北陸先端科学技術大学院大学情報科学研究科

Improved Glycemic Control through Robot-Assisted Remote Interview for Outpatients with Type 2 Diabetes: A Pilot Study

Background and Objectives: Our research group developed a robot-assisted diabetes self-management monitoring system to support Certified Diabetes Care and Education Specialists (CDCESs) in tracking the health status of patients with type 2 diabetes (T2D). This study aimed to evaluate the impact of this system on glycemic control and to identify suitable candidates for its use. Materials and Methods: After obtaining written informed consent from all participants with T2D, the CDCESs conducted remote interviews with the patients using RoBoHoN. All participants completed a questionnaire immediately after the experiment. HbA1c was assessed at the time of the interview and two months later, and glycemic control status was categorized as either “Adequate” or “Inadequate” based on the target HbA1c levels outlined in the guidelines for adult and elderly patients with type 2 diabetes by the Japan Diabetes Society. Patients who changed their medication regimens within the two months following the interview were excluded from the study. Results: The clinical characteristics of the 28 eligible patients were as follows: 67.9 ± 14.8 years old, 23 men (69%), body mass index (24.7 ± 4.9 kg/m2), and HbA1c levels 7.16 ± 1.11% at interview and two months later. Glycemic control status (GCS) was Adequate (A) to Inadequate (I): 1 case; I to A: 7 cases; A to A good: 14 cases; I to I: 6 cases (p-value = 0.02862 by Chi-square test). Multiple regression analyses showed that Q1 (Did RoBoHoN speak clearly?) and Q7 (Was RoBoHoN’s response natural?) significantly contributed to GCS, indicating that the naturalness of the responses did not impair the robot-assisted interviews. The results suggest that to improve the system in the future, it is more beneficial to focus on the content of the conversation rather than pursuing superficial naturalness in the responses. Conclusions: This study demonstrated the efficacy of a robot-assisted diabetes management system that can contribute to improved glycemic control