• Journal of Korea Water Resources Association
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• v.53 no.12
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• pp.1211-1220
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• 2020

This research detects the features of the bright band (BB) through analysis of the vertical profile of range height indicator (RHI) and the slant range beam profile of plane position indicator (PPI) of the polarimetric radar measurements-horizontal reflectivity (ZH), differential reflectivity (ZDR), and cross-correlation coefficient (ρHV). As a result of the analysis, it is possible to clearly detect the bright band using the polarimetric radar measurements, and it is confirmed that the result is consistent by double searching for the BB using the RHI and PPI scan data at the same time. Based on these results, the accuracy of QPE (quantification of precipitation estimation) can be improved by applying the BB search method by the PPI slant range in this research to large rainfall radars that only scan PPI volumes in the field without RHI observations.

• Journal of the Korean Data and Information Science Society
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• v.13 no.2
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• pp.285-294
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• 2002

The control chart is widely used tool for monitoring of the process. This paper deals with an interpretation of the process capability index(PCI) and process performance index(PPI) when the control chart is used for monitoring of the process. The main difference between the PCI and PPI is how we did estimate the process deviation. The PCI uses the within process variation and the PPI uses the total process variation, which is conceptually defined as sum of between process variation and within process variation. Easy interpretations of the PCI and PPI for field engineers are described. And some new approaches to interpretation of the process capability and performance index may be useful in early stabilization of new process.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.2
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• pp.49-54
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• 2004

In process control, PPl controller including smith predictor was proposed for efficient control method because of the weak performance by the effect of long dead-time. But PPI controller can not guarantee of control performance at real plant because of sensitivity to model mismatch. Thus, In this paper, we presented new control parameter estimation strategy for compensating of model mismatch. The proposed startegy obtained useful result through various cases.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.7-9
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• 2006

단백질 상호작용 관계들은 고 성능 실험 기법을 이용한 생물학적 실험에 의해서 대규모로 추출되고, 동시에 이들을 구성하는 단백질 데이터 역시 공공 데이터베이스에 빈번하게 갱신되고 있다. 이 갱신으로 인하여 인터넷을 통해 공개되는 공공 데이터베이스와 PPI(Protein-Protein interaction) 네트워크에 포함된 단백질 데이터가 서로 일치하지 않게 된다. 본 논문에서는 PPI 네트워크에 존재하는 단백질을 래퍼(Wrapper)를 이용하여 빈번하게 갱신되는 공공 데이터베이스의 단백질로 식별하고, 이 식별을 통해 PPI 네트워크에 존재하는 데이터들을 항상 최신 데이터로 동기화함으로써 데이터의 실시간성을 제공하고 데이터에 대한 신뢰도를 보장할 수 있도록 하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06c
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• pp.94-96
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• 2006

단백질 상호작용(Protein-Protein interaction : PPI )은 생명체 내에서 생명현상을 유지하기 위한 단백질 간의 유기적인 반응이다. 생물학 실험 도구의 발달로 현재 대량의 PPI 데이터가 발생하고 있으며 이것을 활용하여 생명체를 시스템 관점에서 이해하기 위한 시도가 진행되고 있다. 하지만 현재 PPI 데이터는 중복의 문제, 생물학자들 간의 용어사용의 불일치성 문제로 인해 데이터의 질이 저하되어 분석결과에 부정적인 영향을 끼치고 있다. 본 논문에서는 현재 인간 PPI 데이터의 문제점을 분석하고 이것을 해결하기 위한 온톨로지 기반의 데이터 정제 방법론을 제시한다. 본 연구를 통해 HPRD내에 존재하고 있던 약 52%의 결함이 있는 데이터를 발견하고 인간 단백질 상호작용 데이터의 품질을 향상시켰다.

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.115-123
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• 2016

In this study, we collect various side effect pairs which are appeared frequently at many drugs, and select side effect pairs that have higher severity. For every selected side effect pair, we extract common genetic networks which are shared by side effects' genes and drugs' target genes based on PPI(Protein-Protein Interaction) network. For this work, firstly, we gather drug related data, side effect data and PPI data. Secondly, for extracting common genetic network, we find shortest paths between drug target genes and side effect genes based on PPI network, and integrate these shortest paths. Thirdly, we develop a classification model which uses this common genetic network as a classifier. We calculate similarity score between the common genetic network and genetic network of a drug for classifying the drug. Lastly, we validate our classification model by means of AUC(Area Under the Curve) value.

• Journal of Digestive Cancer Research
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• v.10 no.1
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• pp.9-15
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• 2022

Proton pump inhibitors (PPIs), a potent gastric acid inhibitor, are widely used in gastric acid-related diseases such as gastroesophageal reflux disease and peptic ulcer, and are known as the most frequently used drugs worldwide. However, as the frequency of use increases, the number of cases of long-term PPI therapy without clear indications is increasing. Recently, there have been concerns about the risk of gastric cancer in patients with long-term PPI users. Potential mechanisms for the association between PPI and gastric cancer include enterochromaffin-like cell proliferation due to hypergastrinemia caused by gastric acid suppression, progression of atrophic gastritis, and corpus-predominant type through interaction with Helicobacter pylori (H. pylori) infection. Several epidemiologic studies showed controversial results on the issue, and it is difficult to prove a causal relationship between PPI and gastric cancer. Nevertheless, long-term PPI should be administered cautiously based on individual risk-benefit profile, specifically among those with history of H. pylori infection, in high-risk region of gastric cancer.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.29 no.2
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• pp.79-82
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• 2018

Background and Objectives : Laryngeal contact granuloma is benign inflammatory disease induced by excessive mechanical contact of larynx such as endotracheal intubation, voice abuse, laryngeal microsurgery as well as laryngopharygeal reflux. Because it is caused by various risk factors, multiple treatment modalities are required. The purpose of study is to evaluate treatment effect of topical steroid through nasal cavity in contact granuloma. Materials and Method : Fifty-two patients were enrolled in this study with exception of intubation granuloma. Patients were classified with four groups (Proton pump inhibitor (PPI), Nasal steroid spray (SPR), PPI+SPR, Observation) according to treatment modality. Results : Patients who treated with PPI (Odds ratio 2.45, p=0.03) and combination of PPI and SPR (Odds ratio 2.88, p<0.01) had significantly better response than patients who not treated with medical therapy. Conclusion : Combination therapy of nasal steroid spray and PPI is effective for contact granuloma of larynx and considered as a treatment of choice rather than PPI only treatment.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.137-147
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• 2015

This study proposes an algorithm for predicting breast cancer prognosis based on genetic network. We identify prognosis-specific network using gene expression data and PPI(protein-protein interaction) data. To acquire the network, we calculate Pearson's correlation coefficient(PCC) between genes in all PPI pairs using gene expression data. We develop a prediction model for breast cancer patients with estrogen-receptor-negative using the network as a classifier. We compare classification performance of our algorithm with existing algorithms on independent data and shows our algorithm is improved. In addition, we make an functionality analysis on the genes in the prognosis-specific network using GO(Gene Ontology) enrichment validation.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.45 no.3
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• pp.135-140
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• 2019

Objectives: This study sought to investigate the association between the systemic intake of proton pump inhibitors (PPI) and the early failure of dental implants. Materials and Methods: A retrospective cohort study involving 1,918 dental implants in 592 patients (69 implants in 24 PPI users and 1,849 implants in 568 nonusers, respectively) was conducted. The effect of PPI intake on the osseointegration of dental implants was evaluated using patientand implant-level models. Results: Among 24 PPI users, two patients experienced implant failure, one of whom had three and the other of whom had one failed implant, respectively. Thus, the rate of failure for this population was 8.3%. Separately, 11 nonusers each experienced one implant failure, and the failure rate for these patients was 1.9%. Fisher's exact test revealed statistically significant differences between PPI users and nonusers at the implant level (P=0.002) but failed to show any significance at the patient level (P=0.094). The odds of implant failure were 4.60 times greater among PPI users versus nonusers. Dental implants that were placed in patients using PPIs were found to be 4.30 times more likely to fail prior to loading. Conclusion: The findings of this study suggest that PPI intake may be associated with an increased risk of early dental implant failure.