• Journal of Korean Public Health Nursing
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• v.36 no.1
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• pp.75-89
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• 2022

Purpose: Domestic violence is an important issue encountered in nurses' home visitation programs. This study analyzed the types of domestic violence and associated interventions provided by nurses in a prenatal and early childhood home visitation program in Korea. Methods: For 24 families who experienced domestic violence in the Seoul Healthy First Step Project, registration information and home visit nursing records were analyzed through directed qualitative content analysis. Results: Physical violence was found in all 24 cases, followed by emotional violence, coercive control, financial abuse, and sexual violence. Twenty-two interventions derived from existing nurse-family partnership (NFP) program strategies were identified in the nursing practices of the Seoul Healthy First Step Project. Conclusion: In a prenatal and early childhood nurses' home visitation program in Korea, various approaches and interventions were provided to nurses to address domestic violence. However, differences in the level of interventions provided by nurses were found, implying a need to educate and support nurses to address domestic violence in-home visitation programs.

• Journal of Broadcast Engineering
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• v.26 no.6
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• pp.778-789
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• 2021

Recently, various lightweight methods for using Convolutional Neural Network(CNN) models in mobile devices have emerged. Weight quantization, which lowers bit precision of weights, is a lightweight method that enables a model to be used through integer calculation in a mobile environment where GPU acceleration is unable. Weight quantization has already been used in various models as a lightweight method to reduce computational complexity and model size with a small loss of accuracy. Considering the size of memory and computing speed as well as the storage size of the device and the limited network environment, this paper proposes a method of compressing integer weights after quantization using a video codec as a method. To verify the performance of the proposed method, experiments were conducted on VGG16, Resnet50, and Resnet18 models trained with ImageNet and Places365 datasets. As a result, loss of accuracy less than 2% and high compression efficiency were achieved in various models. In addition, as a result of comparison with similar compression methods, it was verified that the compression efficiency was more than doubled.

• KSBB Journal
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• v.23 no.1
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• pp.37-43
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• 2008

The use of antihemophilic factor IX complex has been associated with a variety of thrombotic complications, the major cause of which was the contamination of thrombogenic proteins such as vitamin K-dependent clotting factors II, VII, and X. In order to produce a commercial factor IX (GreenNine VF) free from thrombogenic potential, industrial-scale production process for high-purity factor IX from human plasma has been developed. The purification process contains cryo-precipitation, DEAE-sephadex A-50 anion-exchange chromatography, DEAE-toyopearl 650M anion-exchange column chromatography, heparin-sepharose 6FF affinity column chromatography, and CM-sepharose FF cation-exchange column chromatography. Also the process includes two viral inactivation and removal procedures, solvent/detergent treatment and nanofiltration using Viresolve NFP filter. The purification yield was 35.4%. The specific activity in the purified concentrate was 190.8 IU/mg which exceeded that in the factor IX complex (FacNine) by a factor of 48. The activities of factor II, VII, and X were not detected in GreenNine VF. SDS-PAGE analysis showed that GreenNine VF had the highest purity in comparison with commercially available high purity factor IX concentrates, Mononine, Octanyne, Berinin HS, and Immunine STIM plus 600. One batch size of the production was 2,400 vials of 250 IU product or 1,200 vials of 500 IU product from 1,600 L cryo-poor plasma.