• 대한수의학회지
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• 제62권1호
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• pp.9.1-9.6
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• 2022

Canine mammary gland tumors are the most common neoplasms in intact female dogs. Approximately half of all mammary tumors are malignant, and there is a risk of metastasis, which is associated with a poor prognosis. This study was to evaluate the prognostic factors of canine mammary gland tumors and the risk factors associated with the development of malignant tumors. From 2014 to 2020, 60 dogs with mammary gland tumors that underwent surgical treatment were evaluated in this retrospective study. Tumor size, TNM stage, and histopathological results were prognostic factors for 2-year survival after surgery. Every 10 mm increase in tumor size, increased the risk of death within 2 years after surgery 1.213 times. Dogs with TNM stage IV or V had 8.667 fold risk of death within 2 years after surgery. The 2-year survival rate for dogs with benign tumors was 90.2% and for malignant tumors was 67.3%. Tumor size is the most important prognostic factor for canine mammary gland tumors. As tumor size increased by 10 mm, the risk for development of malignant tumors increased by 1.487 times. Tumors larger than 30 mm are highly likely to be malignant, and metastatic evaluation and wide resection should be considered.

• 환경영향평가
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• 제11권2호
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• pp.109-116
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• 2002

The diagnostic and prognostic methods for generating 3 dimensional wind field were comparatively analyzed and 4 dimensional data assimilation (FDDA) technique by incorporating Automatic Weather System (AWS) into the prognostic methods was discussed for the urban scale air quality model. The A WS covered the urban scale grid distance of 10.6 km and 4.3 km in South Korea and Kyong-in region, respectively. This is representing that AWS for FDDA could be fairly well accommodated in prognostic model with the meso${\gamma}$~ microa scale (~5 km), indicating that the 3 dimensional wind field by FDDA technique could be a useful interpretative tool in urban area for the atmospheric environmental impact assessment.

• Smart Structures and Systems
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• 제5권4호
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• pp.397-413
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• 2009

Composite bridges offer many advantages compared to current steel and aluminum bridges. This paper presents the results of a comprehensive on-going research program to develop innovative Diagnostic Prognostic System (DPS) and a structural evaluation of Composite Army Bridge (CAB) system. The DPS is founded on three technologies: optical fiber sensing, remote data transmission, and virtual testing. In developing this system, both laboratory and virtual test were used in different damage scenarios. Health monitoring with DPS entailed comparing live strain data to archived strained data in various bridge locations. For field repairs, a family of composite chords was subjected to simple ramp loads in search of ultimate strength. As such, composite bridge specimens showcased their strengths, heralded the viability of virtual testing, highlighted the efficacy of field repair, and confirmed the merits of health monitoring.

• Journal of Digestive Cancer Research
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• 제10권1호
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• pp.1-8
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• 2022

The incidence of gastric neuroendocrine tumors (NET) has been increased with the improvement of endoscopy accessibility. The World Health Organization classified NET of low (G1), intermediate (G2), high (G3) grade and neuroendocrine carcinoma with poor differentiation by mitotic count and Ki-67 labeling index. Gastric NET are divided into three subtypes based on the pathophysiology, and treatment is determined according to the subtype and prognostic factors of tumor. For diagnosis, endoscopy with biopsy, endoscopic ultrasonography, abdominal pelvis computed tomography, and serum gastrin level measure are required. In general, type 3, size > 2 cm, deep submucosal infiltration, high histological grade, lymphovascular invasion and metastasis are poor prognostic factors. Type 1 or 2 without these factors are treated by endoscopic resection, and other tumors needs surgery. Endoscopic resection of early type 3 or type 1 and 2 tumors with poor prognostic factors still remains a challenge.

• Asian Pacific Journal of Cancer Prevention
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• 제13권5호
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• pp.1935-1941
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• 2012

Introduction: Uterine sarcomas are a group of heterogenous and rare malignancies of the female genital tract and there is a lack of consensus on prognostic factors and optimal treatment. Objective and Methodology: To perform a retrospective evaluation of clinicopathological characteristics, prognostic factors and treatment outcomes of 93 patients with uterine sarcomas who were diagnosed and treated at 4 different centers from November 2000 to October 2010. Results: Of the 93 patients, 58.0% had leiomyosarcomas, 26.9% malignant mixed Mullerian tumors, 9.7% endometrial stromal sarcomas, and 5.4% other histological types. According to the last International Federation of Gynecology and Obstetrics (FIGO) staging, 43.0% were stage I, 20.4% were stage II, 22.6% were stage III and 14.0 % were stage IV. Median relapse free survival (RFS) was 20 months (95% confidence interval (CI), 12.4-27.6 months), RFS after 1, 2, 5 years were 66.6%, 44.1%, 16.5% respectively. Median overall survival (OS) was 56 months (95% CI, 22.5-89.5 months), and OS after 1, 2, 5 years was 84.7%, 78%, 49.4% respectively. Multivariate analysis showed that age ${\geq}60$ years and high grade tumor were significantly associated with poor OS and RFS; patients administered adjuvant treatment with sequential chemotherapy and radiotherapy had longer RFS time. Among patients with leiomyosarcoma, in addition to age and grade, adjuvant treatment with sequential chemotherapy and radiotherapy after surgery had significant effects on OS. Conclusion: Uterine sarcomas have poor progrosis even at early stages. Prognostic factors affecting OS were found to be age and grade.

• 한국수소및신에너지학회논문집
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• 제29권4호
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• pp.339-356
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• 2018

Although fuel cell systems have advantages in terms of electric efficiency and environmental impact compared with conventional power systems, fuel cell systems have not been deployed widely due to their low reliability and high price. In order to guarantee the lifetime of 10 years, which is the commercialization goal of Polymer electrolyte fuel cells (PEFCs), it is necessary to improve durability and reliability through optimized operation and maintenance technologies. Due to the complexity of components and their degradation phenomena, it's not easy to develop and apply the diagnose and prognostic methodologies for PEFCs. The purpose of the paper is to show the current state on PEFC prognostic technology for condition based maintenance. For the prognostic of PEFCs, the model driven method, the data-driven, and the hybrid method can be applied. The methods reviewed in this paper can contribute to the development of technologies to reduce the life cycle cost of fuel cells and increase the reliability through prognostics-based health management system.

• 대한기계학회논문집A
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• 제37권8호
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• pp.1021-1027
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• 2013

원심펌프의 캐비테이션 침식에 대한 예측진단 기법을 본 연구에서 제시했다. 펌프의 침식 상태를 추정하기 위해 캐비테이션 소음을 측정하여 손상률을 계산하고 누적 손상은 특정 운전 상태에 따라 추정한 손상과 Miner의 법칙을 이용하여 계산했다. 펌프 임펠러의 잔존 유효 수명은 미래의 운전 조건을 가정한 누적 손상 예측치에 따라 계산하고 예측 불확도는 몬테카를로 모의를 통해 얻었다. 예측 및 시험 결과를 비교해 본 결과 개발된 방법이 캐비테이션 침식 상태와 잔존 유효 수명을 예측하는 데 적용될 수 있음을 확인할 수 있다.

• Asian Pacific Journal of Cancer Prevention
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• 제16권7호
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• pp.2601-2611
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• 2015

Prostate cancer, with a lifetime prevalence of one in six men, is the second cause of malignancy-related death and the most prevalent cancer in men in many countries. Nowadays, prostate cancer diagnosis is often based on the use of biomarkers, especially prostate-specific antigen (PSA) which can result in enhanced detection at earlier stage and decreasing in the number of metastatic patients. However, because of the low specificity of PSA, unnecessary biopsies and mistaken diagnoses frequently occur. Prostate cancer has various features so prognosis following diagnosis is greatly variable. There is a requirement for new prognostic biomarkers, particularly to differentiate between inactive and aggressive forms of disease, to improve clinical management of prostate cancer. Research continues into finding additional markers that may allow this goal to be attained. We here selected a group of candidate biomarkers including PSA, PSA velocity, percentage free PSA, $TGF{\beta}1$, AMACR, chromogranin A, IL-6, IGFBPs, PSCA, biomarkers related to cell cycle regulation, apoptosis, PTEN, androgen receptor, cellular adhesion and angiogenesis, and also prognostic biomarkers with Genomic tests for discussion. This provides an outline of biomarkers that are presently of prognostic interest in prostate cancer investigation.

• Asian Pacific Journal of Cancer Prevention
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• 제17권6호
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• pp.2867-2870
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• 2016

Background: Endometrial cancer is the most common gynecological malignancy among females worldwide, approximately 320,000 women being diagnosed with the disease each year and 76,000 dying. To date, there is limited knowledge of endometrial cancer in Malaysia. Objectives: To identify the epidemiological profile and prognostic factors of survival. Materials and Methods: A list of endometrial cancer patients in 2000-2011 was obtained from the hospital Record Department. Only cases confirmed by histopathology examination were included. We excluded those with incomplete medical records or referral cases. Simple and multiple Cox regression approaches were used for data analysis. Results: Only 108 cases were included with a mean (SD) age of 62.7 (12.3) years, with 87.0% Malay ethnicity. Grade of cancer was: 29.1% grade 1, 43.7% grade 2 and 27.2% grade 3. The majority of patients had non-endometrioid type (60.2%), with myometrial invasion (82.2%) and lymphovascular invasion (57.3%). The significant prognostic factors were age (HR 1.05; 95% CI: 1.02, 1.08, p=0.002) and having lymphovascular invasion (HR 2.15; 95% CI: 1.08, 4.29; p=0.030). Conclusions: Endometrial cancer patients should be diagnosed earlier to reduce the risk of mortality. The public should be given education on the signs and symptoms of the disease.

• 대한기계학회논문집A
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• 제37권11호
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• pp.1315-1321
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• 2013

볼 베어링의 손상 상태를 예측하기 위한 방법을 본 논문에서 제시하였다. 손상 진전율을 추정하기 위해 확률적 베어링 피로 결함 진전 모델을 적용하고 잡음이 포함된 가속도 신호의 RMS 데이터를 이용하여 손상 상태와 고장 시간을 계산하였다. 확률적 결함 진전 모델의 파라미터는 볼 베어링에 대한 일련의 Run-to-Failure 시험을 수행하여 결정하였다. 가속도 RMS값으로부터 손상 진전율과 손상 상태를 추정하기 위해 규칙화된 파티클 필터 추정 방법을 적용하였다. 미래 시점에서의 손상 상태는 최근 측정된 데이터와 직전에 추정된 상태값을 이용하여 예측하였다. 예측된 손상 상태와 시험 데이터와 비교하여 개발된 방법의 적절성을 확인하였다.