• Journal of The Korea Institute of Healthcare Architecture
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• v.6 no.10
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• pp.23-30
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• 2000

The purpose of this study is to provide the basic data that helps the supplying medical resources through understanding the present conditions of medical resources and the territory of diagnosis in Uijongbu city. To achieve this goal, the statistical data related to the medical resources of Uijongbu city were analyzed; the number of population, medical facility, beds for inpatients, medical personnels and so on. Through the analysis of statistical data, it was revealed that the present conditions of medical resources are so insufficient in Uijongbu city. The results of the study were as follows; Firstly, it should be added to the beds for inpatients. Secondly, it should be characterized by specialization of hospitals. Thirdly, it should be added to the herb medicine hospital.

• Journal of The Korea Institute of Healthcare Architecture
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• v.4 no.6
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• pp.49-55
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• 1998

Ansan city is the first planned city by the government. It became a city in 1980, its population has already surpassed 300,000, and nowadays the population reaches 550,000. It is expected that the population will be increased more and more, because of the "Go-jan Developing". Even though the increasing of its population, An-san is being blamed because of the unbalanced development. The purpose of this study is to give the basic data that helps the supplying medical facilities through understanding the present conditions of medical facilities and the territory of diagnosis in An-san.

• Advances in nano research
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• v.17 no.3
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• pp.213-219
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• 2024

Nanotechnology is one of the critical factors involved in enhancing the sensitivity of serum biomarker detection. To explore the relationship between serum APN, Cystatin C and MMP-9 levels in patients with hypertension during pregnancy and the severity and prognosis of the disease. A total of 75 cases of hypertensive disorder complicating pregnancy (HDCP) patients who were admitted to the hospital from February 5, 2023 to May 9, 2024, were selected as the study group, and 70 healthy pregnant women who were in the same gestational week were selected as the control group. The serum APN, MMP-9 and Cys C levels of pregnant women and HDCP patients with different disease severity were compared between the two groups, and the receiver characteristic curve (ROC) was used to analyze its diagnostic value. The serum APN, MMP-9 and Cys C levels of HDCP patients with different prognosis were compared, and the factors affecting the prognosis of patients were analyzed by Logistic regression. Nanoparticles could aslo enable the sensitive detection and quantification of APN, Cystatin C, and MMP-9 in serum samples, thus increasing the accuracy of the study. The serum MMP-9 and Cys C levels of pregnant women in the study group were significantly increased, and the APN level was significantly decreased (P<0.05). Serum MMP-9 and Cys C levels in patients with pregnancy-induced hypertension, mild preeclampsia, and severe preeclampsia gradually increased (r=0.768, 0.766; P<0.001), and APN levels gradually decreased (r=-0.748, P< 0.001). In the diagnosis of patients with HDCP, the sensitivity, specificity and AUC of APN single diagnosis were 70.00%, 82.67% and 9.848 respectively. The sensitivity, specificity and AUC of MMP-9 single diagnosis were 82.86%, 74.67% and 298.300 respectively. The sensitivity, specificity and AUC of Cys C single diagnosis were 80.00%, 74.67% and 1.301 respectively. There were significant differences in age, BMI, parity, dysthymia, disease severity, APN, MMP-9 and Cys between patients with poor prognosis of HDCP and patients with good prognosis of HDCP (P<0.001). The patient's age, BMI, disease severity, APN, MMP-9 and Cys Cwere all related to HDCP. They were related risk factors of HDCP (P<0.05).

• Land and Housing Review
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• v.9 no.2
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• pp.1-7
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• 2018

The purpose of this study is to suggest diagnosis indicators and checklist for urban regeneration projects by Korea Land & Housing Corporation(LH). There are already deprivation indices in the Urban Regeneration Act but not any additional guidelines in the practical aspect. In order to use the diagnosis indicators, the central government should supply more specific checklist to the actors in the regeneration field. The key actor of many stakeholders is LH as an operator and implementer in the regeneration projects. So far, LH has developed housing and cities and there haven't been any obvious changes to realize public benefit in the deteriorated area. From now on, It has to plan, implement, and manage a lot of regeneration projects entirely. Therefore, It is necessary to develope and apply the diagnosis indicators and checklist based on projects. This paper came up with the 6 factors related with LH business field : housing, urban infrastructure, public service, private service, environment, and smart city. For these, 32 diagnosis indicators and 72 checklists were selected that can include both physical and qualitative indicators. These can be used not only for the selection of regeneration projects but also for the process monitoring such as planning and implementation.

• Journal of Environmental Science International
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• v.32 no.8
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• pp.595-611
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• 2023

The purpose of this study is to improve the daily prediction results of PM2.5 from the air quality diagnosis and evaluation system operated by the Busan Institute of Health and Environment in real time. The air quality diagnosis and evaluation system is based on the photochemical numerical model, CMAQ (Community multiscale air quality modeling system), and includes a 3-day forecast at the end of the model's calculation. The photochemical numerical model basically has limitations because of the uncertainty of input data and simplification of physical and chemical processes. To overcome these limitations, this study applied DNN (Deep Neural Network), a deep learning technique, to the results of the numerical model. As a result of applying DNN, the r of the model was significantly improved. The r value for GFS (Global forecast system) and UM (Unified model) increased from 0.77 to 0.87 and 0.70 to 0.83, respectively. The RMSE (Root mean square error), which indicates the model's error rate, was also significantly improved (GFS: 5.01 to 6.52 ug/m³ , UM: 5.76 to 7.44 ug/m³ ). The prediction results for each concentration grade performed in the field also improved significantly (GFS: 74.4 to 80.1%, UM: 70.0 to 77.9%). In particular, it was confirmed that the improvement effect at the high concentration grade was excellent.

• Journal of Environmental Health Sciences
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• v.50 no.4
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• pp.291-301
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• 2024

Background: Based on rapid industrial development, environmental pollution has emerged as a social problem and exposure to environmental diseases is increasing. The number of patients suffering environmental diseases in Daejeon Metropolitan City is also steadily increasing, and the prevalence of atopic dermatitis there is the highest in the country. Objectives: In order to minimize exposure to harmful factors for the prevention and management of environmental diseases, an environmental disease management system suitable for the environmental characteristics of each region is needed. Basic preliminary research should be conducted to identify environmental hazards in Daejeon Metropolitan City and establish a management system. Methods: Among the households (about 50 people) participating in the 2022 Indoor Environment Remote Measurement (IoT) program, households (children aged 5 or older and adults) with insufficient results for indoor air quality measurement and symptoms related to environmental diseases were selected. The subjects were tested for living conditions, blood tests, biomarker analysis (immunoglobulin E, Eosinophil count, histamine) and multiple allergy antigen tests (MAST, 93 types). Results: Participants were 53.7% female and 46.3% male, and the average age showed an even age distribution. IgE and eosinophil count were positively correlated, and significant results were found for atopic dermatitis and IgE (p<0.05). Typical risk factors observed in the survey was the amount of indoor ventilation, chemical exposure, heredity, house dust mites, fungi, and food. Conclusions: The purpose of this study was to help establish a regional management system for environmental diseases, research and diagnosis of environmental diseases. This study is meaningful in that it is a study with customized consulting suitable for the environment of Daejeon Metropolitan City. If the limitations are addressed and continuous research is conducted, it will be helpful for the management, diagnosis, and research of environmental diseases.

• Journal of the Korean Institute of Gas
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• v.28 no.2
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• pp.38-46
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• 2024

The city gas pipeline network is characterized by being widely distributed and hierarchically connected in a complex manner over a wide area. In order to monitor the status of the widely distributed network pressures with high precision, Multi-block PCA(MBPCA) is recommended. However, while MBPCA has excellent performance in identifying faulty sensors as the number of sensors increases, the fault detection performance deteriorates, and also there is a problem that the model needs to be updated entirely even if minor changes occur. In this study, we developed fault detectability index and fault identificability index to determine the effectiveness of MBPCA application block by block. Based on these indices, we distinguished MBPCA and PCA blocks and developed a fault detection and diagnostic system for the city gas pipeline network of Haean Energy Co., Ltd., and were able to solve the problems that arise when there are many sensors.

• Proceedings of the KOSOMBE Conference
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• v.1993 no.11
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• pp.145-150
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• 1993

It is an important component of the diagnosis to research the morphological changes of EMG in pathological conditions. In order to provide an EMG signal resulting from a predetermined neuromuscular pathophysiology, we have initially developed a mathmatical model of electromyographic interference pattern(IP). It can be used to study the variation of the IP resulting from morphological and electrophysiological changes occurring in disease states, because the model computes the IP from the underlying fiber and muscle structure. We performed quantative analysis or the model output, focusing on IPs resulting from simulations of dystrophic fiber loss and the MU denervation and reinnervation typical of neuropathies. To discribe the characteristics of IPs associated with these pathologies, a set of frequency domain discriptors, activity, mobility, and complexity were used, as well as several measures of the spectral density function. These discriptors demonstrate distinct patterns of variation corresponding to morphological changes observed in disease states, and closely with results obtained from the classical method, turn/amp technique.

• Structural Engineering and Mechanics
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• v.16 no.5
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• pp.581-595
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• 2003

Since the conventional direct approaches are hard to be applied for damage diagnosis of complex large-scale structures, a two-step approach for diagnosing the joint damage of framed structures is presented in this paper by using artificial neural networks. The first step is to judge the damaged areas of a structure, which is divided into several sub-areas, using probabilistic neural networks with natural Frequencies Shift Ratio inputs. The next step is to diagnose the exact damage locations and extents by using the Radial Basis Function (RBF) neural network with the second Element End Strain Mode of the damaged sub-area input. The results of numerical simulation show that the proposed approach could diagnose the joint damage of framed structures induced by earthquake action effectively and has reliable anti-jamming abilities.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.2
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• pp.635-639
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• 2015

Background: In the absence of routine screening program for cervical cancer in Iran and high rate of diagnosed cancer in its advanced stage, recognition of sociodemographic factors related to delayed diagnosis of cancer in Iran could be helpful in reducing the burden of disease in our community. The aim of this study was to determine the stage of cervical cancer at diagnosis and factors related to delayed diagnosis of cervical cancer in Isfahan, Iran. Materials and Methods: In this cross sectional study women diagnosed with cervical cancer for the first time by histo-pathological examination were enrolled. According to the clinical and paraclinical findings and staging of the cancer, they were classified into early and delayed diagnosis of cervical cancer. Sociodemographic factors were compared in the two groups. Results: In this study of 55 women mean age was $48.3{\pm}12.0.$ According to our classification 6/55 (10.9%) and 49/55 (89.1%) of them had early and delayed diagnosis of cervical cancer. Delayed diagnosis of the cancer was significantly higher in patients with lower degree of education, lower socioeconomic status, having smoker and addict husband and those who did not have a history of Pap smear test (p<0.05). Conclusions: The results of this study indicated risk factors related to delayed diagnosis of cervical cancer. The affected women should be targeted for implementation of specialized educational programmes for improving knowledge and screening test.