1.Development of a blocking ELISA for detection of Japanese encephalitis virus antibodies in pig and horse sera
Dong-Kun YANG ; Eun-Ju KIM ; Sang Ho JANG ; Hye Jung LEE ; Bitna KIM ; Jin A LEE ; Ju-Yeon LEE ; Yun Sang CHO
Korean Journal of Veterinary Research 2024;64(3):e26-
Japanese encephalitis virus (JEV) is a mosquito-borne virus that can infect pigs, horses, and other mammals, including humans. Sero-epidemiological investigations of JEV have been performed using hemagglutination inhibition (HI), virus neutralization (VN) tests and enzyme-linked immunosorbent assay (ELISA). A need exists for a new ELISA that can detect JEV antibodies in the sera of several animal species. We aimed to develop a blocking ELISA (B-ELISA) for detecting JEV antibodies in pig and horse serum samples. JEV antibodies in 218 pig and 315 horse serum samples were measured using HI and VN tests. The purified KV1899-306 strain was used as an antigen for B-ELISA. The purified antibody (7A13) was conjugated with horseradish peroxidase and used as a detector antibody. The sera of pigs and horses to measure antibody against JEV were subjected to B-ELISA and analyzed. The B-ELISA had a diagnostic sensitivity of 94.6% to 100%, a specificity of 91.2 to 100%, and an accuracy of 94.9 to 98.6% compared with those of the HI and VN tests in pig and horse sera. The B-ELISA had a higher correlation with pig sera (r = 0.89 and 0.90 for VN and HI) than with horse sera (r = 0.75 and to 0.79). The new B-ELISA could be useful in the sero-surveillance of JEV in pig and horse sera and replace indirect ELISA.
2.Ventral Anterior Cingulate Atrophy as a Predisposing Factor for Transient Global Amnesia
Jeewon SUH ; Young Ho PARK ; Hang-Rai KIM ; Jae-Won JANG ; SangHak YI ; Min Ju KANG ; Yun Jung BAE ; Byung Se CHOI ; Jae Hyoung KIM ; SangYun KIM
Dementia and Neurocognitive Disorders 2024;23(2):89-94
Background:
and Purpose: This study aimed to evaluate the brain magnetic resonance imaging (MRI) of patients with acute transient global amnesia (TGA) using volumetric analysis to verify whether the brains of TGA patients have pre-existing structural abnormalities.
Methods:
We evaluated the brain MRI data from 87 TGA patients and 20 age- and sexmatched control subjects. We included brain MRIs obtained from TGA patients within 72 hours of symptom onset to verify the pre-existence of structural change. For voxel-based morphometric analyses, statistical parametric mapping was employed to analyze the structural differences between patients with TGA and control subjects.
Results:
TGA patients exhibited significant volume reductions in the bilateral ventral anterior cingulate cortices (corrected p<0.05).
Conclusions
TGA patients might have pre-existing structural changes in bilateral ventral anterior cingulate cortices prior to TGA attacks.
3.Development of a blocking ELISA for detection of Japanese encephalitis virus antibodies in pig and horse sera
Dong-Kun YANG ; Eun-Ju KIM ; Sang Ho JANG ; Hye Jung LEE ; Bitna KIM ; Jin A LEE ; Ju-Yeon LEE ; Yun Sang CHO
Korean Journal of Veterinary Research 2024;64(3):e26-
Japanese encephalitis virus (JEV) is a mosquito-borne virus that can infect pigs, horses, and other mammals, including humans. Sero-epidemiological investigations of JEV have been performed using hemagglutination inhibition (HI), virus neutralization (VN) tests and enzyme-linked immunosorbent assay (ELISA). A need exists for a new ELISA that can detect JEV antibodies in the sera of several animal species. We aimed to develop a blocking ELISA (B-ELISA) for detecting JEV antibodies in pig and horse serum samples. JEV antibodies in 218 pig and 315 horse serum samples were measured using HI and VN tests. The purified KV1899-306 strain was used as an antigen for B-ELISA. The purified antibody (7A13) was conjugated with horseradish peroxidase and used as a detector antibody. The sera of pigs and horses to measure antibody against JEV were subjected to B-ELISA and analyzed. The B-ELISA had a diagnostic sensitivity of 94.6% to 100%, a specificity of 91.2 to 100%, and an accuracy of 94.9 to 98.6% compared with those of the HI and VN tests in pig and horse sera. The B-ELISA had a higher correlation with pig sera (r = 0.89 and 0.90 for VN and HI) than with horse sera (r = 0.75 and to 0.79). The new B-ELISA could be useful in the sero-surveillance of JEV in pig and horse sera and replace indirect ELISA.
4.Development of a blocking ELISA for detection of Japanese encephalitis virus antibodies in pig and horse sera
Dong-Kun YANG ; Eun-Ju KIM ; Sang Ho JANG ; Hye Jung LEE ; Bitna KIM ; Jin A LEE ; Ju-Yeon LEE ; Yun Sang CHO
Korean Journal of Veterinary Research 2024;64(3):e26-
Japanese encephalitis virus (JEV) is a mosquito-borne virus that can infect pigs, horses, and other mammals, including humans. Sero-epidemiological investigations of JEV have been performed using hemagglutination inhibition (HI), virus neutralization (VN) tests and enzyme-linked immunosorbent assay (ELISA). A need exists for a new ELISA that can detect JEV antibodies in the sera of several animal species. We aimed to develop a blocking ELISA (B-ELISA) for detecting JEV antibodies in pig and horse serum samples. JEV antibodies in 218 pig and 315 horse serum samples were measured using HI and VN tests. The purified KV1899-306 strain was used as an antigen for B-ELISA. The purified antibody (7A13) was conjugated with horseradish peroxidase and used as a detector antibody. The sera of pigs and horses to measure antibody against JEV were subjected to B-ELISA and analyzed. The B-ELISA had a diagnostic sensitivity of 94.6% to 100%, a specificity of 91.2 to 100%, and an accuracy of 94.9 to 98.6% compared with those of the HI and VN tests in pig and horse sera. The B-ELISA had a higher correlation with pig sera (r = 0.89 and 0.90 for VN and HI) than with horse sera (r = 0.75 and to 0.79). The new B-ELISA could be useful in the sero-surveillance of JEV in pig and horse sera and replace indirect ELISA.
5.Voice of Customer Analysis of Nursing Care in a Tertiary Hospital:Text Network Analysis and Topic Modeling
Hyunjung KO ; Nara HAN ; Seulki JEONG ; Jeong A JEONG ; Hye Ryoung YUN ; Eun Sil KIM ; Young Jun JANG ; Eun Ju CHOI ; Chun Hoe LIM ; Min Hee JUNG ; Jung Hee KIM ; Dong Hyu CHO ; Seok Hee JEONG
Journal of Korean Academy of Nursing Administration 2024;30(5):529-542
Purpose:
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods:
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results:
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement.The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
6.Voice of Customer Analysis of Nursing Care in a Tertiary Hospital:Text Network Analysis and Topic Modeling
Hyunjung KO ; Nara HAN ; Seulki JEONG ; Jeong A JEONG ; Hye Ryoung YUN ; Eun Sil KIM ; Young Jun JANG ; Eun Ju CHOI ; Chun Hoe LIM ; Min Hee JUNG ; Jung Hee KIM ; Dong Hyu CHO ; Seok Hee JEONG
Journal of Korean Academy of Nursing Administration 2024;30(5):529-542
Purpose:
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods:
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results:
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement.The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
7.Voice of Customer Analysis of Nursing Care in a Tertiary Hospital:Text Network Analysis and Topic Modeling
Hyunjung KO ; Nara HAN ; Seulki JEONG ; Jeong A JEONG ; Hye Ryoung YUN ; Eun Sil KIM ; Young Jun JANG ; Eun Ju CHOI ; Chun Hoe LIM ; Min Hee JUNG ; Jung Hee KIM ; Dong Hyu CHO ; Seok Hee JEONG
Journal of Korean Academy of Nursing Administration 2024;30(5):529-542
Purpose:
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods:
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results:
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement.The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
8.Development of a blocking ELISA for detection of Japanese encephalitis virus antibodies in pig and horse sera
Dong-Kun YANG ; Eun-Ju KIM ; Sang Ho JANG ; Hye Jung LEE ; Bitna KIM ; Jin A LEE ; Ju-Yeon LEE ; Yun Sang CHO
Korean Journal of Veterinary Research 2024;64(3):e26-
Japanese encephalitis virus (JEV) is a mosquito-borne virus that can infect pigs, horses, and other mammals, including humans. Sero-epidemiological investigations of JEV have been performed using hemagglutination inhibition (HI), virus neutralization (VN) tests and enzyme-linked immunosorbent assay (ELISA). A need exists for a new ELISA that can detect JEV antibodies in the sera of several animal species. We aimed to develop a blocking ELISA (B-ELISA) for detecting JEV antibodies in pig and horse serum samples. JEV antibodies in 218 pig and 315 horse serum samples were measured using HI and VN tests. The purified KV1899-306 strain was used as an antigen for B-ELISA. The purified antibody (7A13) was conjugated with horseradish peroxidase and used as a detector antibody. The sera of pigs and horses to measure antibody against JEV were subjected to B-ELISA and analyzed. The B-ELISA had a diagnostic sensitivity of 94.6% to 100%, a specificity of 91.2 to 100%, and an accuracy of 94.9 to 98.6% compared with those of the HI and VN tests in pig and horse sera. The B-ELISA had a higher correlation with pig sera (r = 0.89 and 0.90 for VN and HI) than with horse sera (r = 0.75 and to 0.79). The new B-ELISA could be useful in the sero-surveillance of JEV in pig and horse sera and replace indirect ELISA.
9.Voice of Customer Analysis of Nursing Care in a Tertiary Hospital:Text Network Analysis and Topic Modeling
Hyunjung KO ; Nara HAN ; Seulki JEONG ; Jeong A JEONG ; Hye Ryoung YUN ; Eun Sil KIM ; Young Jun JANG ; Eun Ju CHOI ; Chun Hoe LIM ; Min Hee JUNG ; Jung Hee KIM ; Dong Hyu CHO ; Seok Hee JEONG
Journal of Korean Academy of Nursing Administration 2024;30(5):529-542
Purpose:
This study aimed to explore customer perspectives of nursing services in tertiary hospitals.
Methods:
The data comprised mobile Voice Of Customer (VOC) data related to “nursing” or “nurses” generated from June 25, 2019, to December 31, 2022, in a tertiary hospital. A total of 44,727 VOC data points were collected, of which 4,040 were selected for the final analysis. Text network analysis and topic modeling were conducted using NetMiner 4.5.1.
Results:
Topic modeling identified five topics for positive aspects and four topics for areas requiring improvement.The positive aspects were: 1) sincere nursing care; 2) rapid response from professional medical staff; 3) teamwork for delivering customer-centric services; 4) provision and coordination of system-based healthcare services; and 5) customer-focused responsiveness. The areas requiring improvement were: 1) demand for skilled nursing care tailored to customer expectations; 2) demand for enhanced communication and reduced mechanical responses; 3) demand for appropriate handling of diverse situations; and 4) demand for overall improvements to the healthcare system, including reservation systems.
Conclusion
These results may be used to enhance customer and patient experiences in tertiary hospitals and are necessary for utilization from a hospital management perspective.
10.Development of a blocking ELISA for detection of Japanese encephalitis virus antibodies in pig and horse sera
Dong-Kun YANG ; Eun-Ju KIM ; Sang Ho JANG ; Hye Jung LEE ; Bitna KIM ; Jin A LEE ; Ju-Yeon LEE ; Yun Sang CHO
Korean Journal of Veterinary Research 2024;64(3):e26-
Japanese encephalitis virus (JEV) is a mosquito-borne virus that can infect pigs, horses, and other mammals, including humans. Sero-epidemiological investigations of JEV have been performed using hemagglutination inhibition (HI), virus neutralization (VN) tests and enzyme-linked immunosorbent assay (ELISA). A need exists for a new ELISA that can detect JEV antibodies in the sera of several animal species. We aimed to develop a blocking ELISA (B-ELISA) for detecting JEV antibodies in pig and horse serum samples. JEV antibodies in 218 pig and 315 horse serum samples were measured using HI and VN tests. The purified KV1899-306 strain was used as an antigen for B-ELISA. The purified antibody (7A13) was conjugated with horseradish peroxidase and used as a detector antibody. The sera of pigs and horses to measure antibody against JEV were subjected to B-ELISA and analyzed. The B-ELISA had a diagnostic sensitivity of 94.6% to 100%, a specificity of 91.2 to 100%, and an accuracy of 94.9 to 98.6% compared with those of the HI and VN tests in pig and horse sera. The B-ELISA had a higher correlation with pig sera (r = 0.89 and 0.90 for VN and HI) than with horse sera (r = 0.75 and to 0.79). The new B-ELISA could be useful in the sero-surveillance of JEV in pig and horse sera and replace indirect ELISA.

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