• Journal of Home Health Care Nursing
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• v.23 no.1
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• pp.53-61
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• 2016

Purpose: This study aimed to examine the effects of self expression and perceptional justice on the organizational socialization of nurses. Methods: Participants were 188 nurses in 3 regions at 4 different general hospitals with 400 beds each. Data were collected using self-report questionnaires from August 15 to September 15, 2012. Data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson correlations, and multiple regression using SPSS 18.0. Results: Organizational socialization was positively correlated with self-expression and perception of justice. The significant predictors of organizational socialization of nurses were Perception of justice, self-expression, marital status, department of work, and hospital size. These variables explained 41% of the variance in organizational socialization of nurses. Conclusion: These results suggest that organizational socialization of nurses could be enhanced by increasing self-expression and perception of justice.

• IMMUNE NETWORK
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• v.3 no.1
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• pp.23-28
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• 2003

Background: Intracellular antibody specific to hepatitis B virus X protein (HBx) might be useful for studying the role of HBx in hepatocellular carcinogenesis and HBV replication. Methods: With variable region genes for H7 monoclonal anti-HBx Ab, we constructed a vector for bacterial expression of single chain Ab (scFv) and a vector for eukaryotic cell expression of it. The expression of H7 scFv and its binding activity against HBx was examined by immunoblotting and immunofluorescence microscopy. Results: H7 scFv expressed in bacterial cells retained reactivity to HBx. We demonstrated its intracytoplasmic expression in CosM6 eukaryotic cells. Conclusion: This is the first study showing the expression of intracellular anti-HBx Ab in eukaryotic cells. H7 scFv may be a good tool to study the function of HBx in HBV infection.

• Korean Journal of Bronchoesophagology
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• v.7 no.1
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• pp.24-28
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• 2001

Background and Objectives： Heat shock protein(HSP) 27 is a member of the small HSP family that plays a part in the epithelial cell growth and differentiation, wound healing. apoptosis and cell protection against inflammatory cytotoxic mediators. The expression of HSP27 was investigated in normal laryngeal tissue and squamous cell carcinoma of the larynx. Materials and Methods : We studied expression of HSP27 by Western blot on 20 patients of laryngeal squamous cell carcinoma. Results： HSP27 expressed in all normal and cancer tissues. In 9 cases(45%), expression of HSP27 more prominent in cancer tissue. Statistically, there were no significant difference in the expression of HSP27 in normal and cancer tissue, clinical stage and tumor differentiation. Conclusion 45% of cancer tissues was more prominent than normal tissue. But further studies on expression of HSP27 in laryngeal cancer and relationship with clinical parameter should be done.

• IMMUNE NETWORK
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• v.11 no.4
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• pp.196-202
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• 2011

Background: B cell-activating factor belonging to the TNF family (BAFF) is primarily expressed by macrophages and dendritic cells, and stimulates B cell proliferation, differentiation, survival, and Ig production. In the present study, we explored the effect of activin A on BAFF expression by APCs. Methods: To investigate the effect of activin A on BAFF expression by mouse APCs, we measured the level of BAFF expression at the transcriptional and protein levels using RT-PCR and ELISA. Results: Activin A markedly enhanced BAFF expression in mouse macrophages and dendritic cells at both the transcriptional and protein levels. SB431542, an activin receptor-like kinase 4 (ALK4) inhibitor, completely abrogated activin A-induced BAFF transcription. Furthermore, overexpression of DN-Smad3 abolished activin-induced BAFF expression at the transcriptional and protein levels. Conclusion: These results demonstrate that activin A can enhance BAFF expression through ALK4-Smad3 pathway.

• Animal Bioscience
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• v.35 no.4
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• pp.624-630
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• 2022

Objective: The aim of this study was to investigate the expression level of filaggrin-2 (FLG2) in correlation with drip loss. Methods: The muscle samples were randomly taken from a local meat supplier. Samples were taken from Longissimus lumborum muscles to evaluate the drip loss (n = 100). Five muscles per group (low and high drip loss) were selected to evaluate FLG2 mRNA and protein expression levels. Results: mRNA of FLG2 gene was not significantly different in pigs with different levels of drip loss (p>0.05). Statistical analysis revealed that FLG2 protein expression levels were significantly different between the drip loss groups. Western blot revealed that the high drip loss group had higher FLG2 protein expression level than the low drip loss group (p<0.001). Moreover, immunohistochemistry revealed the high signal intensity was on the muscle cell membrane and cytoplasm. Conclusion: FLG2 protein might play roles in drip loss of pork and will provide the basis for information to improving meat quality traits in pigs.

• Journal of Korean Clinical Nursing Research
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• v.16 no.1
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• pp.107-117
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• 2010

Purpose: The purpose of this study was to identify types and characteristics of anger expression in clinical nurses. Methods: Q methodology was used to analyze each individual participant's subjectivity on anger expression. A total of forty clinical nurses arranged 32 pre-selected Q statement cards on a 9 point scale, shaping the cards' pile into a normal distribution. Then the data from the arranged cards were analyzed using the QUANL PC Program. Results: Three types of anger expression were identified; 'reasonably overcoming', 'emotionally expressing', and 'internally mitigating' including both positive and negative aspects. Conclusion: Adequate strategies to resolve anger in clinical nurses needs to be developed according to anger expression types.

• Journal of Electrical Engineering and Technology
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• v.12 no.4
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• pp.1657-1662
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• 2017

Facial expression recognition systems using video devices have emerged as an important component of natural human-machine interfaces which contribute to various practical applications such as security systems, behavioral science and clinical practices. In this work, we present a new method to analyze, represent and recognize human facial expressions using a sequence of facial images. Under our proposed facial expression recognition framework, the overall procedure includes: accurate face detection to remove background and noise effects from the raw image sequences and align each image using vertex mask generation. Furthermore, these features are reduced by principal component analysis. Finally, these augmented features are trained and tested using Hidden Markov Model (HMM). The experimental evaluation demonstrated the proposed approach over two public datasets such as Cohn-Kanade and AT&T datasets of facial expression videos that achieved expression recognition results as 96.75% and 96.92%. Besides, the recognition results show the superiority of the proposed approach over the state of the art methods.

• Archives of Plastic Surgery
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• v.40 no.5
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• pp.517-521
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• 2013

Background Diabetes is characterized by chronic hyperglycemia, which can increase reactive oxygen species (ROS) production by the mitochondrial electron transport chain. The formation of ROS induces oxidative stress and activates oxidative damage-inducing genes in cells. No research has been published on oxidative damage-related extracellular superoxide dismutase (EC-SOD) protein levels in human diabetic skin. We investigated the expression of EC-SOD in diabetic skin compared with normal skin tissue in vivo. Methods The expression of EC-SOD protein was evaluated by western blotting in 6 diabetic skin tissue samples and 6 normal skin samples. Immunohistochemical staining was also carried out to confirm the EC-SOD expression level in the 6 diabetic skin tissue samples. Results The western blotting showed significantly lower EC-SOD protein expression in the diabetic skin tissue than in the normal tissue. Immunohistochemical examination of EC-SOD protein expression supported the western blotting analysis. Conclusions Diabetic skin tissues express a relatively small amount of EC-SOD protein and may not be protected against oxidative stress. We believe that EC-SOD is related to the altered metabolic state in diabetic skin, which elevates ROS production.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1153-1164
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• 2002

The purpose of this study is to find out the creative visual expression in fashion illustration through the previous general theories on creativity. The creative visual expression, in fashion illustration works, can be summarized eight categories as follows. There are 'maximization & minimization'to emphasize the illustrators'emotions and contemporary trends, proposed specially in body expression, 'inversion' seen as the forms of contra-perspective, upside-down, rearrangement of parts, diverted process, etc, 'Unusual uses'to add the effect of caricature, parody, and humor to the fashion illustration works, 'extraordinary connection'seen as the shapes of various combination between animals, plants, stuff, and man, 'concealment & elimination'used frequently in creative visual expression includes a deformed human body, an abstracted human body, an extreme value contrast, simple colors, and dress in silhouette, 'association'seen in various methods; comparing the similar shapes, describing a certain situation or details for analogizing the whole, ‘illusion’ expressed in surreal, mysterious, and fairy depictions and 'substitution'to imitate the composition and colors of masterpieces, copy the parts.

• Journal of Information Processing Systems
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• v.17 no.2
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• pp.399-410
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• 2021

Aiming at the problem that complex external variables in natural scenes have a greater impact on facial expression recognition results, a facial expression recognition method based on two-stream convolutional neural network is proposed. The model introduces exponentially enhanced shared input weights before each level of convolution input, and uses soft attention mechanism modules on the space-time features of the combination of static and dynamic streams. This enables the network to autonomously find areas that are more relevant to the expression category and pay more attention to these areas. Through these means, the information of irrelevant interference areas is suppressed. In order to solve the problem of poor local robustness caused by lighting and expression changes, this paper also performs lighting preprocessing with the lighting preprocessing chain algorithm to eliminate most of the lighting effects. Experimental results on AFEW6.0 and Multi-PIE datasets show that the recognition rates of this method are 95.05% and 61.40%, respectively, which are better than other comparison methods.