• The Journal of Korean society of community based occupational therapy
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• v.4 no.2
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• pp.11-22
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• 2014

Objective : The purpose of this study is to investigate the effect of mental practice with task activities through upper limbs movement speed and accuracy in ideomotor apraxia patient. Methods : As a single subject research design with multiple baseline across individuals, the patients were two ideomotor apraxia patients, employed in this study. The employed program included receiving mental practice and task activities, measuring change of the total performance times, time to put down the last cups and amount of water in cups for 4 weeks, including baseline and intervention periods. The subject were measured by Ideomotor apraxia test and MFT were analyzed. The analyses were performed using visually and two-standard deviation band method. Results : All subjects were a reduction in symptoms of apraxia, but noticeable change in upper limbs function was not there. Total time of performance from 376.67 to 355.24 seconds, 391.33 seconds to 434.60 seconds, reduced. Put down the cup of performance time from 15.67 to 13.30 seconds, 20.80 seconds to 10.73 seconds, reduced. The amount of water transferred from 52.38ml to 49.70ml, 50.89ml to 50.09ml, all results were closer to 50ml. Conclusion : As a result of this study, mental practice with task activities can be an effective method to ideomotor apraxia patients. This study would serve a fundamental data on ideomotor apraxia patients to the further studies.

• Journal of Life Science
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• v.14 no.3
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• pp.441-444
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• 2004

This study was performed to establish a simple and rapid method for measuring thrombin activity based on weight of fibrin clot formed. The new method was based on the weight measurement of fibrin clot after enzymatic reaction of thrombin with fibrinogen. The fibrin formation depended upon the activities of thrombin used, temperature, incubation time, and centrifugation time. The fibrin formation was increased proportionally up to 1.0 unit/ml of thrombin activity, 4.0mg/ml of fibrinogen concentration, and 5 min of incubation time at 37$^{\circ}C$. The fibrin clot formed was stable by centrifugation at 3,000$\times$g for 5min. This simple assay based on weight of fibrin after centrifugation would be useful for identifying natural food anticoagulants by inhibiting thrombin.

• The Korean Journal of Zoology
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• v.20 no.2
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• pp.93-99
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• 1977

Dose response forDNA repair synthesis induced by various concentrations of MMC (0.05 $\\sim$ 0.5 $\\mu$g/ml) in HeLa $S_3$ cells was not dose-dependent and the amounts of it were relatively lower, representing $7\\sim9%$ of total DNA synthesizing cells in $0.1\\sim0.5 \\mug/ml$ concentrations. Time dependence study showed that MMC-induced DNA repair synthesis occurred as long as for 24 hours with similar incidences in all time courses. Pretreatment with BUdR was found to have a sensitization effect on MMC-induced DNA repair synthesis, but that with IUdR was not. Combined treatment with BUdR of IUdR and MMC suppressed remarkably the semiconservative DNA synthesis especially at later time course. These results seem to suggest that damages induced in DNA by MMC might be repaired by both fast and slow excision processes.

• Nuclear Medicine and Molecular Imaging
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• v.43 no.5
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• pp.459-467
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• 2009

Purpose: The maximum likelihood-expectation maximization (ML-EM) is the statistical reconstruction algorithm derived from probabilistic model of the emission and detection processes. Although the ML-EM has many advantages in accuracy and utility, the use of the ML-EM is limited due to the computational burden of iterating processing on a CPU (central processing unit). In this study, we developed a parallel computing technique on GPU (graphic processing unit) for ML-EM algorithm. Materials and Methods: Using Geforce 9800 GTX+ graphic card and CUDA (compute unified device architecture) the projection and backprojection in ML-EM algorithm were parallelized by NVIDIA's technology. The time delay on computations for projection, errors between measured and estimated data and backprojection in an iteration were measured. Total time included the latency in data transmission between RAM and GPU memory. Results: The total computation time of the CPU- and GPU-based ML-EM with 32 iterations were 3.83 and 0.26 see, respectively. In this case, the computing speed was improved about 15 times on GPU. When the number of iterations increased into 1024, the CPU- and GPU-based computing took totally 18 min and 8 see, respectively. The improvement was about 135 times and was caused by delay on CPU-based computing after certain iterations. On the other hand, the GPU-based computation provided very small variation on time delay per iteration due to use of shared memory. Conclusion: The GPU-based parallel computation for ML-EM improved significantly the computing speed and stability. The developed GPU-based ML-EM algorithm could be easily modified for some other imaging geometries.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.2
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• pp.17-30
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• 2019

Due to difficulties in tracking design information of existing document-based configuration management, the research on the development of plant SysML model was started to apply the model-based system engineering methodology to comprehensively manage various design information. However, until now, in order to create the SysML model, the engineers are checking the design information and inputting it to the SysML model. This process requires a lot of time and manpower, it is required to minimize it. Therefore, this study has recognized the problem, a plug-in that extracts the plant design information in the design document and automatically converts the SysML plant model from it. Specifically, the development was performed in the following order. First, the extraction file was selected as the most commonly used Excel file as the plant design document. Next, the design information in the document was analyzed, and extracted information including tag number, name, and the capacity were selected. Finally, the plant SysML model conversion module was implemented. The developed plug-in is confirmed that the task load of the engineers by the SysML model conversion can be minimized and the model can be generated more quickly and accurately.

• Journal of fish pathology
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• v.24 no.3
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• pp.269-278
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• 2011

Gene expression of two glyceraldehyde-3-phosphate dehydrogenase (GAPDH) paralogs was examined during Edwardsiella tarda challenge and heavy metal exposures in mud loach (Misgurnus mizolepis; Cypriniformes) kidney and spleen. Transcription of the two mud loach GAPDH paralogs (mlGAPDH-1 and mlGAPDH-2) was significantly modulated by these stimulatory challenges in an isoform-dependent manner. Based on the real-time RT-PCR analysis, the mlGAPDH-2 transcripts were more preferentially induced by E. tarda challenge, whereas the mlGAPDH-1 transcripts were proven to show more inducibility in response to heavy metal exposure using Cd, Cu, Mn and Zn at $5{\mu}M$. Their isoform-specific response patterns were closely in accordance with the TF binding profiles in promoter and intron-1 of the two mlGAPDH isoforms, in which the mlGAPDH-2 has more binding sites for immune-related transcription factors than mlGAPDH-1 while the mlGAPDH-1 possesses exclusively metal responsive elements in its intron. Collectively, the mlGAPDHs are potentially involved in cellular pathways independent of glycolysis and the two GAPDH paralogs might undergo functional diversification or subfunctionalization at least at the transcription level.

• Journal of Veterinary Clinics
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• v.22 no.3
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• pp.253-258
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• 2005

The aim of this study was to estimate the time of ovulation and mating derived by plasma progesterone and estradiol-$17{\beta}$ concentrations. The 11 pregnant Shih-tzu bitches were investigated the plasma progesterone and estradiol-$17{\beta}$ concentrations from proestrus to parturition. Gestation length in the 11 pregnant bitches was $61.9{\pm}1.1\;(mean{\pm}SD)$ days when Day 0 was timed from the day that plasma progesterone concentration was first increased above 4.0 ng/ml. The litter size was $3.8{\pm}0.3$ pups. Plasma progesterone concentrations were increased at the first day of vulvar bleeding and showed at Day 0 with $5.2{\pm}0.3$ ng/ml. It was gradually increased to reach a peak at Day 15 with $42.6{\pm}3.7ng/ml$, thereafter it was gradually decreased to below Day 62. Plasma estradiol-$17{\beta}$ concentrations were increased above 1.0 pg/ml at the first day of vulvar bleeding and showed a peak at Day -2 with $33.5{\pm}8.0$ pg/ml, thereafter it was gradually decreased. When Day 0 was timed from the day that plasma progesterone concentration was first increased above 4.0 ng/ml, plasma estradiol-$17{\beta}$ concentration reached a peak at Day -2. In conclusion, these results indicated that ovulation was estimated to occur the day when plasma progesterone concentration was first increased above 4.0 ng/ml after the first day of bleeding. It was estimated that mating time was the day when plasma progesterone concentration was between $3.0{\~}8.0$ ng/ml.

• Asian-Australasian Journal of Animal Sciences
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• v.16 no.5
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• pp.738-742
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• 2003

The monitoring was carried out for one year on 20 farms of Mediterranean buffalo situated in central Italy. The milk yield, the somatic cell count, the coagulating properties and some components were determined. The average value of somatic cells was $21.28n{\times}10^3/ml$. Milk production decreased when somatic cell numbers increased. The rennet clotting time increased significantly when somatic cells were higher than $300.00n{\times}10^3/ml$, the curd firming time was significantly higher when somatic cells were more than $1,000.00n{\times}10^3/ml$ and the curd firmness increased up to $200.00n{\times}10^3$/ml, then gradually decreased. Protein and casein decreased when somatic cells increased and the same trend was shown by casein/protein ratio. Both for these components and the coagulating properties the threshold limit of somatic cells to obtain better results was $200.00n{\times}10^3/ml$. The somatic cell number did not show a trend which was strictly influenced by the lactation stage, contrary to what happened in the other species.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.7
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• pp.1106-1112
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• 2002

Lively circulation of digital contents through internet digital contents copyright information for contents at the same time protectingness express and had many interests managing. XrML(eXtensible rights Markup Language) that is application of XML(eXtensible Markup Language) to permit efficient present and storage of copyright information for digital contents, share hereupon established by each venders laying stress on W3C. Need system that could express copyright information for digital contents in structural language by creation of this XrML document and user who use structural information of XrML to make out XrML document effectively can edit efficiently. So that user can edit XrML document that can describe about copyright or working conditions for digital contents in treatise that see hereupon efficiently, XrML text editing system for digital contents copyright administration design and embody.

• Journal of Sensor Science and Technology
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• v.32 no.6
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• pp.378-385
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• 2023

Human biosignals provide essential information for diagnosing diseases such as dementia and Parkinson's disease. Owing to the shortcomings of current clinical assessments, noninvasive solutions are required. Machine learning (ML) on wearable sensor data is a promising method for the real-time monitoring and early detection of abnormalities. ML facilitates disease identification, severity measurement, and remote rehabilitation by providing continuous feedback. In the context of wearable sensor technology, ML involves training on observed data for tasks such as classification and regression with applications in clinical metrics. Although supervised ML presents challenges in clinical settings, unsupervised learning, which focuses on tasks such as cluster identification and anomaly detection, has emerged as a useful alternative. This review examines and discusses a variety of ML algorithms such as Support Vector Machines (SVM), Random Forests (RF), Decision Trees (DT), Neural Networks (NN), and Deep Learning for the analysis of complex clinical data.