In this study, a numerical simulation of airflow while pronouncing a phrase /usuimisosiru/ with velopharyngeal closure based on cinematic volumetric data was performed. The results indicated that the air stream path was affected by the velopharyngeal closure. Principle morphological factors were selected to achieve articulation of the consonant, which was the constriction ratio of the velopharyngeal region and the narrowing of the oral cavity by the elevation of the tongue. The simplified velopharyngeal model was constructed based on the factors measured by using real morphological data. The results of the simulation using a simplified model indicated that a 20% and 30% constriction ratio of each region supplied the largest airflow magnitude from the nasal cavity and oral cavity.

This paper presents a new method for evaluating tooth brushing performance using audio collected from a smartphone. To do this, we use hidden Markov models (HMMs) to recognize audio data that include various types of tooth brushing actions, such as brushing the outer surface of the front teeth and brushing the inner surface of the back teeth. We then use the output of the HMMs to build regression models to estimate tooth brushing performance scores, such as stroke quality of brushing for the back inner teeth and duration of brushing for the front teeth. The scores used to train these regression models are obtained from a dentist who specializes in dental care instruction, with the resulting regression models estimating performance scores that closely correspond to the scores assigned by the dentist.

Parkinson's disease is a brain disease whose medical treatment and remedy have not been established yet, although a cause of this disease is considered to be the insufficient formation and action of dopamine, which plays a role of great importance in brain activity. For this reason, there is an increasing demand on the clinical database pertaining to Parkinson's disease which multiple hospitals and research institutions can share to accumulate knowledge and know-how on the disease. In this paper, we present a clinical database for Parkinson's disease research and diagnosis which we have preliminary built, especially focusing on the access control and data filtering mechanisms built in hope that medical Grid services are seamlessly integrated to the database in future.

We proposed a distributed service oriented system with web-based interface for medical information to.. promote the practical prediction of clinical prognosis. The proposed system provided hospitals secure access for medical information and processing simulations to examine effects of surgical treatments. Through a web interface, users could operate the system in order to execute the simulations, access data from/to distributed storage, and display the medical information. These functions were combined by Web Services technique, and ontology mapping based on ICD10 was applied to combine various types of medical information. A client-side volume display using GPU was developed to visualize the result volumetric data interactively, and the system adjusted data precision dynamically to maintain the rendering speed. Being based on standardized mechanism, our framework can be applied to similar complex problems with different types of and quantities of information, such as microscopy or geography.

We demonstrate an oral scientific simulation and its visualization based on E-science. This oral scientific application will become an essential key component for medical and dental clinic in the near future because Bio-Medical simulations will provide a clinical index considering a prognostic of a disease. In this case, it was shown that the physical theory of sound production of speech sound, sibilant. However, it is difficult to acquire the computational and storage resources in the hospitals. Our E-science infrastructure enables scientists and clinicians to achieve the advanced information produced by simulations. As the result of this phase implementation for Bio-Medical simulation on E-science infrastructure, we could extract the scientific findings about the oral science. Moreover, this infrastructure can be used more generally because of the divided architecture between applications and E-science infrastructure.

The hybrid applications are needed in dental research because the result of their operation could be predicted by both modeling of an oral truct and more than two kind of physical simulations. However, it takes long time to perform the hybrid applications, cost a lot of money and needs some experience to deal with them. This paper proposes a new execution procedure of two applications which can reduce the implementation time by considering parallel efficiency of those applications. It can determine which attitude should be taken, sequential or separate execution of two different applications related with each other. Following the execution procedure, the dental hybrid application was performed. As a result of that, desirable pairs of the number of CPUs allocated to each simulation could be found. This means that the adequate procedure should be considered before execution of the hybrid applications, in order to play a compute power producer for dental clinics and hospitals.

The Cybermedia Center, Osaka University (CMC) is a research institution that offers resource with knowledge and technology of all advanced research in the area of large-scale computation, information and communication, multimedia content and education. Currently, CMC involves in Japanese national grid projects such as JGN II (Japan Gigabit Network) and BioGrid. Not limited to Japan, CMC also takes an active part in international activities such as PRAGMA. In these projects and international collaboration, CMC has developed the Grid system that allows scientists to perform their analysis by remotely controlling the world-largest ultra-high voltage electron microscope located in Osaka University. On the other, CMC has been taking a leading role at BioGrid sharing experience and knowledge on the system development for biology. In this paper, we will describe BioGrid project overview and introduce progress of Telescience group which collaborates with Telescience project lead by National Center for Microscopy and Imaging Research (NCMIR).