• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.67-77
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• 2023

This study represents an innovative research conducted in the smart farm environment, developing a deep learning-based disease and pest detection model and applying it to the Intelligent Internet of Things (IoT) platform to explore new possibilities in the implementation of digital agricultural environments. The core of the research was the integration of the latest ImageNet models such as Pseudo-Labeling, RegNet, EfficientNet, and preprocessing methods to detect various diseases and pests in complex agricultural environments with high accuracy. To this end, ensemble learning techniques were applied to maximize the accuracy and stability of the model, and the model was evaluated using various performance indicators such as mean Average Precision (mAP), precision, recall, accuracy, and box loss. Additionally, the SHAP framework was utilized to gain a deeper understanding of the model's prediction criteria, making the decision-making process more transparent. This analysis provided significant insights into how the model considers various variables to detect diseases and pests.

• Journal of Microbiology and Biotechnology
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• v.21 no.1
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• pp.100-108
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• 2011

A method for the rapid detection and quantification of Newcastle disease virus (NDV) produced in an animal cell culture-based production system was developed to enhance the speed of the NDV vaccine manufacturing process. A SYBR Green I-based real-time RT-PCR was designed with a conventional, inexpensive RT-PCR kit targeting the F gene of the NDV LaSota strain. The method developed in this study was validated for specificity, accuracy, precision, linearity, limit of detection (LOD), limit of quantification (LOQ), and robustness. The validation results satisfied the predetermined acceptance criteria. The validated method was used to quantify virus samples produced in an animal cell culture-based production system. The method was able to quantify the NDV samples from mid- or late-production phases, but not effective on samples from the early-production phase. For comparison with other quantifiable methods, immunoblotting, plaque assay, and tissue culture infectious dose 50 ($TCID_{50}$) assay were also performed with the NDV samples. The results demonstrated that the real-time RT-PCR method is suitable for the rapid quantification of virus particles produced in an animal cell-culture-based production system irrespective of viral infectivity.

• Clinical and Experimental Pediatrics
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• v.57 no.8
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• pp.357-362
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• 2014

Purpose: The incidence of Kawasaki disease (KD) is rare in young infants (less than 3 months of age), who present with only a few symptoms that fulfill the clinical diagnostic criteria. The diagnosis for KD can therefore be delayed, leading to a high risk of cardiac complications. We examined the clinical characteristics and measured the serum levels of N-terminal pro-brain natriuretic peptide (NT-proBNP) levels of these patients for assessing its value in the early detection of KD. Methods: We retrospectively reviewed the data of young infants diagnosed with KD from 2004 to 2012. The control group included 20 hospitalized febrile patients. Laboratory data, including NT-proBNP were obtained for each patient in both groups. Results: Incomplete KD was observed in 21/24 patients (87.5%). The mean fever duration on admission was $1.36{\pm}1.0$ days in the KD group. Common symptoms included erythema at the site of Bacille Calmette-Guerin inoculation (70.8%), skin rash (50.0%), changes of oropharyngeal mucosa (29.1%), and cervical lymphadenopathy (20.8%). The mean number of major diagnostic criteria fulfilled was $2.8{\pm}1.4$. Five KD patients (20.8%) had only one symptom matching these criteria. The incidence of coronary artery complications was 12.5%. The mean serum NT-proBNP level in the acute phase, in the KD and control groups, were $4,159{\pm}3,714pg/mL$ and $957{\pm}902pg/mL$, respectively, which decreased significantly in the convalescent phase. Conclusion: Incomplete KD was observed in 87.5% patients. Serum NT- proBNP might be a valuable biomarker for the early detection of KD in febrile infants aged <3 months.

• Korean Journal of Health Education and Promotion
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• v.7 no.1
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• pp.64-71
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• 1990

The purpose of this study is to identify the main factors influencing breast cancer self-examination, a preventive health behavior, thereby increasing self-examination compliance for early detection of the disease. The data on which this study was based were collected from a survey of 601 ladies, aged 20∼59 years and residing in Seoul, employing such mehtods as X²-test, ANOVA, t-test, F-test, Person's Correlation Coefficient and Stepwise Multiple Regression. The resulting conclusions are as follows; 1. Discrepancies in self-examination compliance rate are found in accordance with the differences of general characters of the surveyed persons. For instance, those who are well educated and better off are better compliers than those who are not (p<0.001), and those around whom breast cancer patients are better ones than who are not (p<0.01). 2. Self-examination compliers have higher health belief than non-compliers. Compliers have more knowledge in health and have higher susceptibility, barriers and health concern (p<0.001), and higher benefits (p<0.01), and higher seriousness (p<0.05) than non-compliers. 3. Whereas those who have loftier health belief show higher compliance rate (p<0.001), seriousness turned out to have no correlationship with self-examination compliance. 4. Stepwise Multiple Regression portray that following factors influence self-examination compliance in arder named. (1) barriers (2) susceptibility, (3) health concern, (4) age, (5) benefits, (6) education level. Even so, it turned out that these factors alone can explain only 20％ of self-examination compliance. Therefore study for the other factors ought to be continued. I submit following suggestions ending this study. 1. Since breast cancer self-examination is an essential health behavior needed for early detection of the disease, efficient and proper health education program eyed for regular and periodic self-examination is required to be developed, thus reducing the deaths and pains caused by the disease. 2. Proper policies of the government for the prevention of breast cancer is strongly urged to be formed in concrete manner. 3. Continuous study of the other factors affecting self-examination compliance must be carried on.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.14
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• pp.6141-6147
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• 2015

Background: Cancer is a leading cause of death worldwide. A large proportion of cancer deaths are preventable through early detection but there are a range of social, emotional, cultural and financial dimensions that hinder the effectiveness of cancer prevention and treatment efforts. Cancer stigma is one such barrier and is increasingly recognized as an important factor influencing health awareness and promotion, and hence, disease prevention and control. The impact and extent of stigma on the cancer early detection and care continuum is poorly understood in India. Objectives: To evaluate cancer awareness and stigma from multiple stakeholder perspectives in North India, including men and women from the general population, health care professionals and educators, and cancer survivors. Materials and Methods: A qualitative study was conducted with in-depth interviews (IDIs) and focus group discussions (FGDs) among 39 individuals over a period of 3 months in 2014. Three groups of participants were chosen purposively - 1) men and women who attended cancer screening camps held by the Indian Cancer Society, Delhi; 2) health care providers and 3) cancer survivors. Results: Most participants were unaware of what cancers are in general, their causes and ways of prevention. Attitudes of families towards cancer patients were observed to be positive and caring. Nevertheless, stigma and its impact emerged as a cross cutting theme across all groups. Cost of treatment, lack of awarenes and beliefs in alternate medicines were identified as some of the major barriers to seeking care. Conclusions: This study suggests a need for spreading awareness, knowledge about cancers and assessing associated impact among the people. Also Future research is recommended to help eradicate stigma from the society and reduce cancer-related stigma in the Indian context.

• Korean Journal of Biological Psychiatry
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• v.20 no.2
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• pp.31-39
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• 2013

The geriatric patients with chronic physical diseases are frequently associated with the continuous clusters of depression including nonpathological sadness, subsyndromal depression, minor depressive disorder, and major depressive disorder. Because of the complex and reciprocal relationships among depression, elderly, and chronic physical diseases, screening approaches with specific nosological methods should be needed in the realm of early detection of depression. Cognitive decline is frequently manifested in geriatric depression with medical or neurological diseases. Also, somatic symptoms of depression or emotional symptoms of physical diseases can play a role as a hampering factor in the early detection of depression. Furthermore, after-care has been regarded as an essential factor of depression screening in the geriatric patients with chronic physical diseases. We reviewed the most popular examples of integrated medicine for depression in primary care. Thus, we propose a general hospital-based model for early detection of depression which includes favorable response loop between screening and therapeutic intervention. Our model can be a basis for evidence-based detection and after-care for depression in the geriatric patients with chronic medical diseases.

• Journal of Yeungnam Medical Science
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• v.37 no.4
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• pp.332-336
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• 2020

Homozygous mutations in NUDT15 R139C are known as the major factor associated with thiopurine-induced early leukopenia, particularly in Asian patients. Therefore, NUDT15 genotyping is currently recommended before thiopurine treatment to identify patients who are NUDT15 poor metabolizers and consider the use of an alternative immunomodulatory therapy. We report a case of a 12-year-old Korean girl with Crohn's disease (CD), in whom thiopurine-induced leukopenia was prevented by initiation of azathioprine (AZA) therapy at a low dose (0.5 mg/kg/day) and early detection of significant hair loss and white blood cell (WBC) count decrease at 17 days from the start of AZA treatment. The WBC count dropped from 8,970/μL to 3,370/μL in 2 weeks, and AZA treatment was stopped because of concerns of potential leukopenia in the near future. Her WBC count recovered to 5,120/μL after 3 weeks. Gene analysis later revealed that she had a homozygous mutation in NUDT15 R139C, resulting in a poor metabolizing activity of NUDT15. In situations when NUDT15 genotyping is unavailable, initiation of AZA therapy at 0.5 mg/kg/day with close observation of hair loss and WBC counts within 2 weeks may be an alternative way to prevent thiopurine-induced early leukopenia in Asian children with CD.

• Smart Media Journal
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• v.11 no.4
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• pp.62-68
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• 2022

To prevent the spread of disease in aquaculture, it is a need for a system to predict fish diseases while monitoring the water quality environment and the status of growing fish in real time. The existing research in predicting fish disease were image processing techniques. Recently, there have been more studies on disease prediction methods through deep learning techniques. This paper introduces the research results on how to predict diseases of Paralichthys Olivaceus with deep learning technology in aquaculture. The method enhances the performance of disease detection rates by including data augmentation and pre-processing in camera images collected from aquaculture. In this method, it is expected that early detection of disease fish will prevent fishery disasters such as mass closure of fish in aquaculture and reduce the damage of the spread of diseases to local aquaculture to prevent the decline in sales.

• The Plant Pathology Journal
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• v.38 no.3
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• pp.229-238
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• 2022

Fusarium wilt caused by Fusarium oxysporum f. sp. niveum (Fon) is the most serious soil-borne disease in the world and has become the main limiting factor of watermelon production. Reliable and quick detection and quantification of Fon are essential in the early stages of infection for control of watermelon Fusarium wilt. Traditional detection and identification tests are laborious and cannot efficiently quantify Fon isolates. In this work, a real-time polymerase chain reaction (PCR) assay has been described to accurately identify and quantify Fon in watermelon plants and soil. The FONRT-18 specific primer set which was designed based on identified specific sequence amplified a specific 172 bp band from Fon and no amplification from the other formae speciales of Fusarium oxysporum tested. The detection limits with primers were 1.26 pg/µl genomic DNA of Fon, 0.2 pg/ng total plant DNA in inoculated plant, and 50 conidia/g soil. The PCR assay could also evaluate the relationships between the disease index and Fon DNA quantity in watermelon plants and soil. The assay was further used to estimate the Fon content in soil after disinfection with CaCN₂. The real-time PCR method is rapid, accurate and reliable for monitoring and quantification analysis of Fon in watermelon plants and soil. It can be applied to the study of disease diagnosis, plant-pathogen interactions, and effective management.

• The Journal of the Korean dental association
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• v.52 no.7
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• pp.396-401
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• 2014

Peri-implantitis is an inflammatory disease of the peri-implant tissue by bacterial infection or other factors, which results in peri-implant bone loss. Many nonsurgical treatments were tried on initial to moderate peri-implantitis lesion to reduce the inflammation. Some of these treatments made effective results, however, they were not definitively predictable. To prevent peri-implantitis and further peri-implant bone loss, early intervention is the most important. Early detection of peri-implant infection through the regular maintenance care can make it possible to do early nonsurgical intervention. Nonsurgical intervention is effective on peri-implant mucositis and can also be effective on initial peri-implantitis lesion. If the peri-implantitis is not resolves by nonsurgical treatment, surgical approach should be considered.