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

PURPOSE: The purpose of this study was to investigate the fit and screw joint stability between Ready-made abutment and CAD-CAM custom-made abutment. MATERIALS AND METHODS: Osstem implant system was used. Ready-made abutment (Transfer abutment, Osstem Implant Co. Ltd, Busan, Korea), CAD-CAM custom-made abutment (CustomFit abutment, Osstem Implant Co. Ltd, Busan, Korea) and domestically manufactured CAD-CAM custom-made abutment (Myplant, Raphabio Co., Seoul, Korea) were fabricated five each and screws were provided by each company. Fixture and abutments were tightening with 30Ncm according to the manufacturer's instruction and then preloding reverse torque values were measured 3 times repeatedly. Kruskal-Wallis test was used for statistical analysis of the preloading reverse torque values (alpha=.05). After specimens were embedded into epoxy resin, wet cutting and polishing was performed and FE-SEM imaging was performed, on the contact interface. RESULTS: The pre-loading reverse torque values were 26.0 +/- 0.30 Ncm (ready-made abutment; Transfer abutment) and 26.3 +/- 0.32 Ncm (CAD-CAM custom-made abutment; CustomFit abutment) and 24.7 +/- 0.67 Ncm (CAD-CAM custom-made abutment; Myplant). The domestically manufactured CAD-CAM custom-made abutment (Myplant abutment) presented lower pre-loading reverse torque value with statistically significant difference than that of the ready-made abutment (Transfer abutment) and CAD-CAM custom-made abutment (CustomFit abutment) manufactured from the same company (P=.027) and showed marginal gap in the fixture-abutment interface. CONCLUSION: Within the limitation of the present in-vitro study, in domestically manufactured CAD-CAM custom-made abutment (Myplant abutment) showed lower screw joint stability and fitness between fixture and abutment.
Computer-Aided Design* ; Torque

PURPOSE: The purposes of this study were to develop an intraoperative navigation system as the first step toward image-guided surgery and robotic surgery, and to evaluate its accuracy. MATERIALS AND METHODS: The navigation system was composed of an optical tracking system (Polaris, Northern Digital) and a personal computer. The registration error and target localization error of fiducial registration and surface registration were measured using a phantom. Each of the errors was measured 30 times, and the average values and the standard deviations were calculated. RESULTS: The registration error was 0.84 +/- 0.28 mm at fiducial registration and 0.81 +/- 0.21 mm at surface registration. The target localization error was 1.54 +/- 0.34 mm at fiducial registration and 1.46 +/- 0.32 mm at surface registration. CONCLUSION: We have developed an intraoperative navigation system using an optical tracker, and could assure ourselves that its accuracy is adequate for many orthopaedic surgeries. However, it still requires improvement in the accuracy and development of specific software and instruments for various operations.
Microcomputers ; Surgery, Computer-Assisted

OBJECTIVE: To study some thermal problems in invasive microwave coagulation (IMC) therapy. METHODS: Temperature fields predicts, limitation and remedy methods of the Pennes bioheat transfer equation during the temperature distribution analyses and how to kill a large anomalistic tumor for only once were discussed. RESULTS: The coagulation area between the simulations and actual measured results showed good correspondence. Blood flow influenced the rise in temperature significantly. CONCLUSIONS: Thermal distribution with computer simulation in invasive microwave coagulation therapy is an accurate and reliable method.
Computer Simulation ; Microwaves*

In this tutorial, we introduce a differential equation simulation model for use in pharmacometrics involving NONMEM, Berkeley Madonna, and R. We report components of the simulation code and similarities/differences between software, rather than how to use each software. Depending on the purpose of the simulation, an appropriate tool can be selected for effective communication.
Computer Simulation ; Software

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*

No abstract available.
Computer Simulation* ; Orthognathic Surgery*

No abstract available.
Computer Simulation* ; Orthognathic Surgery*