• Korean Journal of Applied Biomechanics
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• v.33 no.2
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• pp.45-51
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• 2023

Objective: The aim of this study was to examine the effect of strength training targeting medial quadriceps/hamstrings and non-targeting strength training on dynamic balance. Method: A total of 51 healthy subjects were randomly assigned to control, targeting strength training, or non-targeting training groups. To measure the dynamic balance, the star excursion balance test (SEBT) was performed before and after training. The SEBT parameters were compared using repeated measures ANOVA, and post-hoc paired t test at a significance level of 0.05. Results: Greater anterior (p= .011), anteromedial (p= .001), medial (p< .001), lateral (p< .001), and anterolateral (p= .001) reach distances were found between pre- and post-training in the strength training targeting medial thigh muscles group. Only greater lateral reach distance was found after non-targeting strength training (p= .029). In addition, no differences were found for any SEBT scores in the control group. Conclusion: Strength training targeting medial quadriceps and hamstrings can improve the dynamic balance, thereby it positively affected in lower extremity injury risk, whereas non-targeting strength training rarely changes the dynamic balance.

• Proceedings of the KSAR Conference
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• 2004.06a
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• pp.193-193
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• 2004

Gene targeting is an in situ manipulation of endogenous gene with precise manner by the introduction of exogenous DNA. The process of gene targeting involves a homologous recombination reaction between the targeted genomic sequence and an exogenous targeting vector. In elucidating the function of many genes, gene targeting has become the most important method of choice. (omitted)

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.85-88
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• 1996

We develop an efficient technique of controlling chaos using M-step ahead prediction with the OGY method. It has smaller transient time than the OGY method, and prevents burst phenomena that occur in noisy environment. This technique is very simple and needs small memory compared with targeting algorithms. Numerical examples show that the proposed algorithm has good performance, especially in noisy environment.

• Development and Reproduction
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• v.14 no.4
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• pp.215-223
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• 2010

The construction of transgenic mouse using embryonic stem (ES) cells has been crucial in the functional studies of gene on mouse genome. Gene knockout mice have been powerful for elucidating the function of genes as well as a research model for human diseases. Gene targeting and gene trapping mathods have been the representative technologies for making the knockout mice by using ES cells. Since the gene targeting and the gene trapping methods were independently developed about 20 years ago, it's efficiency and productivity has been improved with a advance of molecular biology. Conventional gene targeting method has been changes to high throughput conditional gene targeting. The combination of the advantage of gene targeting and gene tapping elements allows to extend a spectrum of gene trapping and to improve the efficiency of gene targeting. These advance should be able to produce the mutant with various phenotype to target a certain gene, and in postgenome era they have served as crucial research tools in understanding the functional study of whole genome in mouse.

• Korean Management Science Review
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• v.25 no.2
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• pp.13-23
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• 2008

Top music 10 is a additional service product of the A mobile telephone company. Up to now, A company is just selling it by outbound TM to customers which visit any contents of Top Music 10. In this paper, we proposed a targeting method combining two score models by data mining. The proposed combining model is to find customers more likely to respond to outbound TM. The proposed targeting method is expected to improve both from 32.8% to 44.0% in the response rate and from 54.7% to 61.4% in the retention rate.

• Korean Journal of Radiology
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• v.24 no.9
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• pp.871-889
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• 2023

C-X-C motif chemokine receptor 4 (CXCR4) plays a key role in various physiological functions, such as immune processes and disease development, and can influence angiogenesis, proliferation, and distant metastasis in tumors. Recently, several radioligands, including peptides, small molecules, and nanoclusters, have been developed to target CXCR4 for diagnostic purposes, thereby providing new diagnostic strategies based on CXCR4. Herein, we focus on the recent research progress of CXCR4-targeting radioligands for tumor diagnosis. We discuss their application in the diagnosis of hematological tumors, such as lymphomas, multiple myelomas, chronic lymphocytic leukemias, and myeloproliferative tumors, as well as nonhematological tumors, including tumors of the esophagus, breast, and central nervous system. Additionally, we explored the theranostic applications of CXCR4-targeting radioligands in tumors. Targeting CXCR4 using nuclear medicine shows promise as a method for tumor diagnosis, and further research is warranted to enhance its clinical applicability.

• The Journal of Korean Society for Radiation Therapy
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• v.21 no.1
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• pp.1-7
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• 2009

Purpose: The purpose is to evaluate the accuracy of correcting the targeting error through the Target Location System (TLS) for the location change error of the reference point which arises from the movement or motion of patient during the treatment using the CyberKnife. Materials and Methods: In this test, Gafchromic MD-55 film was inserted into the head and neck phantom to analyze the accuracy of the targeting, and then the 6 MV X-ray of CyberKnife (CyberKnife Robotic Radiosurgery System G4, Accuray, US) was irradiated. End to End (E2E) program was used to analyze the accuracy of targeting, which is provided by Accuray Corporation. To compute the error of the targeting, the test was carried out with the films that were irradiated 12 times by maintaining the distance within the rage of $0{\pm}0.2\;mm$ toward x, y, z from the reference point and maintaining the angle within the rage of $0{\pm}0.2^{\circ}$ toward roll, pitch, yaw, and then with the films which were irradiated 6 times by applying intentional movement. And the correlation in the average value of the reference film and the test film were analyzed through independent samples t-test. In addition, the consistency of dose distribution through gamma-index method (dose difference: 3%) was quantified, compared, and analyzed by varying the distance to agreement (DTA) to 1 mm, 1.5 mm, 2 mm, respectively. Results: E2E test result indicated that the average error of the reference film was 0.405 mm and the standard deviation was 0.069 mm. The average error of the test film was 0.413 mm with the standard deviation of 0.121 mm. The result of independent sampling t-test for both averages showed that the significant probability was P=0.836 (confidence level: 95%). Besides, by comparing the consistency of dose distribution of DTA through 1 mm, 1.5 mm, 2 mm, it was found that the average dose distribution of axial film was 95.04%, 97.56%, 98.13%, respectively in 3,314 locations of the reference film, consistent with the average dose distribution of sagittal film that was 95.47%, 97.68%, 98.47%, respectively. By comparing with the test film, it was found that the average dose distribution of axial film was 96.38%, 97.57%, 98.04%, respectively, at 3,323 locations, consistent with the average dose distribution of sagittal film which was 95.50%, 97.87%, 98.36%, respectively. Conclusion: Robotic CyberKnife traces and complements in real time the error in the location change of the reference point caused by the motion or movement of patient during the treatment and provides the accuracy with the consistency of over 95% dose distribution and the targeting error below 1 mm.

• Bulletin of the Korean Chemical Society
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• v.29 no.4
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• pp.887-890
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• 2008

• Archives of Pharmacal Research
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• v.26 no.12
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• pp.1096-1101
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• 2003

To enhance the liver targeting and reduce the side effects of 5-fluorouracil (5-Fu), it was acylated by stearyl chloride to obtain .$\b{N}_{\b{1}}$stearyl-5-Fu (5-FuS). The chemical structure of the prodrug was confirmed by Nuclear Magnetic Resonance and Infrared Spectrometry. 5-FuS was incorporated into solid lipid nanoparticles (SLN), which were prepared by the physical agglomeration method. The mean diameter of 5-FuS-SLN was 240.19 nm and the drug loading was 20.53%. The release characteristics in vitro of 5-FuS-SLN were fitted to the first-order pharmacokinetic model. Compared with 5-Fu injection, a study on the distribution of 5-FuS-SLN in mice showed that 5-FuS-SLN could double 5-Fu concentration in mice livers. The main pharmacokinetic parameters of 5-FuS-SLN in rabbits is shown as follows: $V_d$=0.04336L/kg, $T_{1/2} \beta$=1.2834h, CL=0.1632 L/h. In conclusion, 5-FuS-SLN has significant liver targeting properties. The employment of a prodrug to enhance drug liposoluble properties and the preparation method presented in this paper, seem to be an alternative strategy to the traditional colloidal delivery system.

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.327-337
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• 2023

Objectives: Considering the importance of social determinants of health (SDHs) in promoting the health of residents of informal settlements and their diversity, abundance, and breadth, this study aimed to identify, measure, and rank SDHs for health promotion interventions targeting informal settlement residents in a metropolitan area in Iran. Methods: Using a hybrid method, this study was conducted in 3 phases from 2019 to 2020. SDHs were identified by reviewing studies and using the Delphi method. To examine the SDHs among informal settlement residents, a cross-sectional analysis was conducted using researcher-made questionnaires. Multilayer perceptron analysis using an artificial neural network was used to rank the SDHs by priority. Results: Of the 96 determinants identified in the first phase of the study, 43 were examined, and 15 were identified as high-priority SDHs for use in health-promotion interventions for informal settlement residents in the study area. They included individual health literacy, nutrition, occupational factors, housing-related factors, and access to public resources. Conclusions: Since identifying and addressing SDHs could improve health justice and mitigate the poor health status of settlement residents, ranking these determinants by priority using artificial intelligence will enable policymakers to improve the health of settlement residents through interventions targeting the most important SDHs.