Counting the average number and standard error or standard deviation by popular method of 3 groups also leads to correct results as using Microsoft Excel software. When using Summary Statistics in Descriptive Statistics, we have average value, standard error, standard deviation and other results, in which there was a sample variance. If 2 variances of 2 samples were the similar, t test has been used. Thus, using Microsoft Excel software, we’ll have specific p value. From that, we could infer the greater or smaller results
Statistics Computer

This article outlines the methods of building a safe environment for the hospital information system, and protecting data in three levels. Firstly it is recommended to build a highly efficient and redundant hot spare system for program applications and the database, secondly to make a copy of log file from the current database to the emergent server used for the whole hospital is suggested,finally another emergent server should be provided for the outpatient department. And thus, once there are some problems with the whole network, it would undertake the urgent services of the hospital as an outpatient network.
Computer Communication Networks ; Computer Security ; Computer Systems ; Hospital Information Systems

No abstract available.
Computer Simulation* ; Orthognathic Surgery*

No abstract available.
Computer Simulation* ; Orthognathic Surgery*

Even though a conventional metal ceramic restoration is widely in use, its laboratory procedure is still technique-sensitive, complex, and time-consuming. A ceramic-pressed-to-metal restoration (PTM) can be a reliable alternative. However, simplified laboratory procedure for a PTM is still necessary. The article is to propose a technique that reduces time and effort to fabricate a PTM with the aid of computer-aided design, computer-aided manufacturing and selective laser sintering technologies.
Ceramics ; Computer-Aided Design*

PURPOSE: In this study we propose a block-iterative method for reconstructing Compton scattered data. This study shows that the well-known expectation maximization (EM) approach along with its accelerated version based on the ordered subsets principle can be applied to the problem of image reconstruction for Compton camera. This study also compares several methods of constructing subsets for optimal performance of our algorithms. MATERIALS AND METHODS: Three reconstruction algorithms were implemented; simple backprojection (SBP), EM, and ordered subset EM (OSEM). For OSEM, the projection data were grouped into subsets in a predefined order. Three different schemes for choosing nonoverlapping subsets were considered; scatter angle-based subsets, detector position-based subsets, and both scatter angle- and detector position-based subsets. EM and OSEM with 16 subsets were performed with 64 and 4 iterations, respectively. The performance of each algorithm was evaluated in terms of computation time and normalized mean-squared error. RESULTS: Both EM and OSEM clearly outperformed SBP in all aspects of accuracy. The OSEM with 16 subsets and 4 iterations, which is equivalent to the standard EM with 64 iterations, was approximately 14 times faster in computation time than the standard EM. In OSEM, all of the three schemes for choosing subsets yielded similar results in computation time as well as normalized mean-squared error. CONCLUSION: Our results show that the OSEM algorithm, which have proven useful in emission tomography, can also be applied to the problem of image reconstruction for Compton camera. With properly chosen subset construction methods and moderate numbers of subsets, our OSEM algorithm significantly improves the computational efficiency while keeping the original quality of the standard EM reconstruction. The OSEM algorithm with scatter angle- and detector position-based subsets is most available.
Image Processing, Computer-Assisted

No abstract available.
Surgery, Computer-Assisted*

Since LINAC-based stereotactic radiosurgery uses multiple noncoplanar arcs, three-dimensional dose evaluation and many beam parameters, a lengthy computation time is required to optimize even the simplest case by a trial and error. The basic approach presented in this paper is to show promising methods using an experimental optimization and an analytic optimization. The purpose of this paper is not to describe the detailed methods, but introduce briefly, proceeding research done currently or in near future. A more detailed description will be shown in ongoing published papers. Experimental optimization is based on two approaches. One is shaping the target volumes through the use of multiple isocenters determined from dose experience and testing. The other method is conformal therapy using a beam's eye view technique and field shaping. The analytic approach is to adapt computer-aided design optimization in finding optimum irradiation parameters automatically.
Computer-Aided Design ; Radiosurgery*

The author herein reviews recent series of projects aimed at developing computer- and robot-assisted otological surgery. The author's team and its collaborating institutions have developed devices for image-guided surgery and robots for otological procedures. The accumulation of user-oriented research resulted in developing a unique robotic system of human-robot collaborative control, which is the system that restricts the surgeon's hand only if surrounding structures are in danger of injury. Thus, as many other fields in the surgery, otological procedures can also be assisted by computers and robots that provide objective and patient-specific anatomical information during surgery.
Hand ; Surgery, Computer-Assisted

No abstract available.
Surgery, Computer-Assisted*