• Clinical and Experimental Reproductive Medicine
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• 제49권2호
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• pp.93-100
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• 2022

Objective: The impact of imatinib, a tyrosine kinase inhibitor, on ovarian follicles and several proteins related to follicular function and apoptosis was investigated in mice. Methods: Saline, cyclophosphamide (Cp; 50 or 75 mg/kg), or imatinib (7.5 or 15 mg/kg) was injected once intraperitoneally into female B6D2F1 mice (18 mice in each group). In multiple ovarian sections, the number of various types of follicles and the proportion of good-quality (G1) follicles were counted. The levels of six proteins (anti-Müllerian hormone [AMH], BCL-xL, BAX, acid sphingomyelinase [A-SMase], caspase-3, and α-smooth muscle actin [α-SMA]) within the whole ovaries were quantified using Western blots. Results: Compared to the saline group, a significant reduction of the primordial follicle count was observed in the group treated with imatinib 7.5 and 15 mg/kg, as well as in the group treated with Cp 75 mg/kg. Administration of Cp significantly decreased the proportion of G1 primordial follicles, but administration of imatinib did not. No differences in the AMH, anti-apoptotic BCLX-L, pro-apoptotic BAX, and A-SMase levels in the ovarian tissues were observed among the five groups. However, caspase-3 and α-SMA levels were significantly higher in the imatinib and Cp groups than in the saline group. Conclusion: The administration of imatinib to mice significantly reduced the primordial follicle count and increased the protein levels of caspase-3 and α-SMA. Our findings suggest that imatinib potentially exerts ovarian toxicity via apoptotic processes, similarly to Cp.

• Steel and Composite Structures
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• 제44권2호
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• pp.155-169
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• 2022

In the present paper an analytical model was developed to study the non-linear vibrations of Functionally Graded Carbon Nanotube (FG-CNT) reinforced doubly-curved shallow shells using the Multiple Scales Method (MSM). The nonlinear partial differential equations of motion are based on the FGM shallow shell hypothesis, the non-linear geometric Von-Karman relationships, and the Galerkin method to reduce the partial differential equations associated with simply supported boundary conditions. The novelty of the present model is the simultaneous prediction of the natural frequencies and their mode shapes versus different curvatures (cylindrical, spherical, conical, and plate) and the different types of FG-CNTs. In addition to combining the vibration analysis with optimization algorithms based on the genetic algorithm, a design optimization methode was developed to maximize the natural frequencies. By considering the expression of the non-dimensional frequency as an objective optimization function, a genetic algorithm program was developed by valuing the mechanical properties, the geometric properties and the FG-CNT configuration of shallow double curvature shells. The results obtained show that the curvature, the volume fraction and the types of NTC distribution have considerable effects on the variation of the Dimensionless Fundamental Linear Frequency (DFLF). The frequency response of the shallow shells of the FG-CNTRC showed two types of nonlinear hardening and softening which are strongly influenced by the change in the fundamental vibration mode. In GA optimization, the mechanical properties and geometric properties in the transverse direction, the volume fraction, and types of distribution of CNTs have a considerable effect on the fundamental frequencies of shallow double-curvature shells. Where the difference between optimized and not optimized DFLF can reach 13.26%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권2호
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• pp.391-411
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• 2023

Aggregates play the skeleton and supporting role in the construction field, high-precision measurement and high-efficiency analysis of aggregates are frequently employed to evaluate the project quality. Aiming at the unbalanced operation time and segmentation accuracy for multi-class segmentation algorithms of aggregate images, a Chaotic Sparrow Search Algorithm (CSSA) is put forward to optimize it. In this algorithm, the chaotic map is combined with the sinusoidal dynamic weight and the elite mutation strategies; and it is firstly proposed to promote the SSA's optimization accuracy and stability without reducing the SSA's speed. The CSSA is utilized to optimize the popular multi-class segmentation algorithm-Multiple Entropy Thresholding (MET). By taking three METs as objective functions, i.e., Kapur Entropy, Minimum-cross Entropy and Renyi Entropy, the CSSA is implemented to quickly and automatically calculate the extreme value of the function and get the corresponding correct thresholds. The image adaptive multi-class segmentation model is called CSSA-MET. In order to comprehensively evaluate it, a new parameter I based on the segmentation accuracy and processing speed is constructed. The results reveal that the CSSA outperforms the other seven methods of optimization performance, as well as the quality evaluation of aggregate images segmented by the CSSA-MET, and the speed and accuracy are balanced. In particular, the highest I value can be obtained when the CSSA is applied to optimize the Renyi Entropy, which indicates that this combination is more suitable for segmenting the aggregate images.

• Korean Journal of Radiology
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• 제23권1호
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• pp.101-111
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• 2022

Objective: Familial intracranial aneurysms (FIAs) are found in approximately 6%-20% of patients with intracranial aneurysms (IAs), suggesting that genetic predisposition likely plays a role in its pathogenesis. The aim of this study was to identify possible IA-associated variants using whole exome sequencing (WES) in selected Korean families with FIA. Materials and Methods: Among the 26 families in our institutional database with two or more IA-affected first-degree relatives, three families that were genetically enriched (multiple, early onset, or common site involvement within the families) for IA were selected for WES. Filtering strategies, including a family-based approach and knowledge-based prioritization, were applied to derive possible IA-associated variants from the families. A chromosomal microarray was performed to detect relatively large chromosomal abnormalities. Results: Thirteen individuals from the three families were sequenced, of whom seven had IAs. We noted three rare, potentially deleterious variants (PLOD3 c.1315G>A, NTM c.968C>T, and CHST14 c.58C>T), which are the most promising candidates among the 11 potential IA-associated variants considering gene-phenotype relationships, gene function, co-segregation, and variant pathogenicity. Microarray analysis did not reveal any significant copy number variants in the families. Conclusion: Using WES, we found that rare, potentially deleterious variants in PLOD3, NTM, and CHST14 genes are likely responsible for the subsets of FIAs in a cohort of Korean families.

• 한국수자원학회논문집
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• 제53권5호
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• pp.383-393
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• 2020

본 연구에서는 소양강댐 유역에서의 실측 단일사상 강우-유출 자료를 활용하여 Clark 단위도 방법의 매개변수를 최적화 하였으며, 그 결과를 제시하였다. 일반적으로 국내에서는 유역특성인자 최적화 분석시 미육군공병단의 HEC-1, HEC-HMS 등의 모형을 사용하고 있다. 그러나 해당 모형의 경우 유출수문곡선의 형상, 크기 등의 재현에만 초점이 맞춰져 있으며, 산정된 매개변수들의 평균을 사용하고 있어 실제 강우-유출 관계를 묘사하는데 어려움이 존재하고 있다. 이러한 점에서 본 연구에서는 기존 Clark 합성단위도법과 계층적 Bayesian 기법을 결합하여 수집된 강우-유출 자료를 동시에 활용하여 매개변수를 산정할 수 있는 모형을 개발하였다. 본 연구에서 개발된 모형을 적용한 결과 개별 단일사상 기반의 최적화 기법에 비해 다중 강우-유출 자료를 Pooling하여 매개변수를 산정하는 계층적 Bayesian 모형에서 BIC 결과 및 다수의 통계적 지표를 통해 모형의 우수성을 확인할 수 있었다. 더불어 홍수량에 따른 유역특성인자 매개변수 반응에 대한 관계규명을 기반으로 향후 댐 설계 또는 PMF 산정시 본 연구의 결과가 활용이 가능할 것으로 판단된다.

• 대한한의진단학회지
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• 제15권2호
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• pp.175-190
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• 2011

Objectives: Even though there has been no consensus on the concept of viscera organ between the oriental and western medicine, we tried to investigate the correlation between clinical biomarkers of five Jang and chronological age and develop the models for predicting five Jang biological ages by statistical analysis. Methods: We obtained data from about 120,000 subjects who visited health promotion centers for health promotion and disease prevention from January 2004 to June 2009. Participants were included if they were over 20 years old, and excluded if reported to have cardiovascular disease or other serious medical illness such as cancer, malignant hypertension, uncontrolled diabetes, cardiopulmonary insufficiency, liver disease, pancreatic disease or renal disease. Among the clinical biomarkers obtained, we selected the biomarkers which were associated with the function of 5 Jang in previous studies, or showed statistically significant correlation with age. Multiple regression models were used for building prediction models of biological age after adjusting for potential confounders for men and women, respectively. Pearson correlation coefficient was calculated to examine the linear relationship between age and various biomarkers, and multiple regression analysis was used for building the prediction models of five Jang biological ages for men and women, respectively. All statistical data analysis was performed by using SPSS Version 12.0 software and statistical significance was obtained if p<0.05. Results: For males, the best models were developed using 12, 2, 8, 3, and 4 biomarkers for predicting biological ages of heart, lung, liver, pancreas, and kidney, respectively (R2 = 0.57, 0.43, 0.11, 0.24, and 0.93, respectively). Similar to males, for the females, 10, 2, 8, 3, and 4 biomarkers were selected as the models respectively (R2 = 0.76, 0.44, 0.14, 0.38, and 0.89, respectively). Conclusions: As we have developed for the first time the models for predicting five Jang biological ages with common clinical biomarkers, it is expected that these models may be used as clinical supplementary tools in the evaluation of aging status and functional decline of five Jang according to age in health promotion centers and private clinics. At the same time, it is considered that the use as objective tools to evaluate aging status and functional decline of each Jang.

• 한국정보과학회논문지:시스템및이론
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• 제36권3호
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• pp.135-139
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• 2009

여러 문자열들을 비교하여 유사성 또는 거리(오차)를 계산하는 문제는 패턴매칭, 웹검색 바이오인포매틱스, 컴퓨터 보안 등 다양한 응용 분야와의 연관성으로 인해 활발히 연구되어 왔다. 주어진 문자열 집합 내의 여러 문자열들의 거리를 비교하기 위해 주어진 집합 내의 모든 문자열들을 대표하는 한 문자열(대표문자열)을 찾는 방법이 있다. 대표문자열 방법은 주어진 문자열 집합과 가장 유사한 한 문자열을 찾는 방법으로 주로 이용되는 목적함수는 거리반경과 거리합이 있다. 거리반경은 집합 내의 문자열들과 특정 문자열과의 거리들의 최대값으로 정의되며, 모든 문자열들 중에서 최소의 거리반경을 만드는 문자열을 주어진 문자열 집합에 대한 거리반경기반 대표문자열이라 한다. 거리합은 집합 내의 문자열들과 특정 문자열과의 거리들의 합으로 정의되며, 모든 문자열들 중에서 최소의 거리합을 만드는 문자열을 주어진 문자열집합에 대한 거리합기반 대표문자열이라 한다. 본 논문에서는 메트릭 거리함수에 대해 거리반경기반 대표문자열 문제가 NP-완전임을 증명한다.

• Journal of Korean Neurosurgical Society
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• 제54권4호
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• pp.329-335
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• 2013

Objective : Brain metastases in primary breast cancer patients are considerable sources of morbidity and mortality. Gamma knife radiosurgery (GKRS) has gained popularity as an up-front therapy in treating such metastases over traditional radiation therapy due to better neurocognitive function preservation. The aim of this study was to clarify the prognostic factors for local tumor control and survival in radiosurgery for brain metastases from primary breast cancer. Methods : From March 2001 to May 2011, 124 women with metastatic brain lesions originating from a primary breast cancer underwent GKRS at a tertiary medical center in Seoul, Korea. All patients had radiosurgery as a primary treatment or salvage therapy. We retrospectively reviewed their clinical outcomes and radiological responses. The end point of this study was the date of patient's death or the last follow-up examination. Results : In total, 106 patients (268 lesions) were available for follow-up imaging. The median follow-up time was 7.5 months. The mean treated tumor volume at the time of GKRS was 6273 $mm^3$ (range, 4.5-27745 mm3) and the median dose delivered to the tumor margin was 22 Gy (range, 20-25 Gy). Local recurrence was assessed in 86 patients (216 lesions) and found to have occurred in 36 patients (83 lesions, 38.6%) with a median time of 6 months (range, 4-16 months). A treated tumor volume >5000 $mm^3$ was significantly correlated with poor local tumor control through a multivariate analysis (hazard risk=7.091, p=0.01). Overall survival was 79.9%, 48.3%, and 15.3% at 6, 12, and 24 months, respectively. The median overall survival was 11 months after GKRS (range, 6 days-113 months). Multivariate analysis showed that the pre-GKRS Karnofsky performance status, leptomeningeal seeding prior to initial GKRS, and multiple metastatic lesions were significant prognostic factors for reduced overall survival (hazard risk=1.94, p=0.001, hazard risk=7.13, p<0.001, and hazard risk=1.46, p=0.046, respectively). Conclusion : GKRS has shown to be an effective and safe treatment modality for treating brain metastases of primary breast cancer. Most metastatic brain lesions initially respond to GKRS, though, many patients have further CNS progression in subsequent periods. Patients with poor Karnofsky performance status and multiple metastatic lesions are at risk of CNS progression and poor survival, and a more frequent and strict surveillance protocol is suggested in such high-risk groups.

• Child Health Nursing Research
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• 제7권1호
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• pp.35-50
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• 2001

The ability of neonates to perceive and react to pain, has been acknowledged recently. Recent researches have been shown that even short term pain can have lasting negative effects. We know that most of the anatomical pathway and neurotrans-mitter function necessary for pain perception are fully or nearly fully developed in the neonatal period. Many people are still reluctant to believe that pain felt by neonates may be as severe as that felt by older children or adults yet. The objective of the study is to assess and compare the analgesic effects of orally administered sucrose and pacifiers. And to determine the synergistic analgesic effects of sucrose and pacifiers. The tools for this study is Lawrence's NIPS (neonatal infant pain scale) with behavioural pain responses and index for pain physiological reponses as heart rate, respiratory rate and degree of SaO₂. The participants are 96 healthy infants of neonatal age 1-7days and randomised to receive heel prick before 2minutes to blood sampling and physiological test in Nursery of K Medical University Hospital on May-July, 2000. The experimental group assigned to one of three treatment groups : no treatment; a pacifier; placebo(2ml 25％ sucrose). Collected data were analyzed with the SAS program using X²-test, ANOVA and Duncan's multiple range test as post hoc. The results were as follows. 1) Pain behaviour responses: The pain score of placebo group(2ml 25％ sucrose) is lower than no treatment group and pacifier group significantly(P=.000). Placebo group is different from no treatment and pacifier group with Duncan's multiple range test. 2) Pain physiologic responses (1) heart rate: The heart rate of placebo group(2ml 25％ sucrose) is different from that of no treatment group and pacifier group significantly(P=.000). The heart rate change of placebo group is less than the other groups. (2) respiratory rate: The respiratory rate of placebo group(2ml 25％ sucrose) is different from that of no treatment group and pacifier group insignificantly (P=.2340). But, the respiratory rate of placebo group is lower than the other groups. (3) SaO₂: The SaO₂ score of placebo group(2ml 25％ sucrose) is different from that of no treatment group and pacifier group insignificantly (P=.3265). But, the change of SaO₂ score of placebo group is less than the other groups. In conclusion, the sucrose placebo showed pain relief effect in behavior responses and less physiological responses. Accordingly, the sucrose placebo should be applied nursing intervention for simple pain management as heel prick.

• 전자공학회논문지
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• 제51권10호
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• pp.96-106
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• 2014

기존 학계의 FPGA 툴 연구는 단순한 가상 아키텍처 모델 가정에 의존해 왔다. 이러한 제약을 극복하기 위한 첫걸음으로 분석적 배치 및 배치 적법화의 기본 알고리즘들을 상용 FPGA의 아키텍처에 적용하는 실제 상황에서 발생되는 이슈들을 도출하여 대안을 제시한 후 그 효과를 평가하였다. 먼저, 코어 사용률이 낮은 FPGA에서 배치된 셀들의 무게 중심이 칩 중심에서 벗어나는 현상이 발생할 수 있는데 이 변위를 최소화하는 함수를 분석적 배치의 목적 함수에 추가하였다. 또한 배치 밀도 평가의 정확도를 높이기 위해 셀 종류별로 별도의 밀도 행렬을 사용하는 다층 분석, 그리고 자원이 매우 한정된 블록의 조기 고정 방안을 제안하였다. 그밖에, 슬라이스 내에서 두 개의 플립플롭이 제어 핀들을 공유하기 때문에 발생하는 호환성 문제를 개선하기 위한 플립플롭 사전 패킹도 제안하였다. 제안된 기법은 상용 FPGA 아키텍처를 정확하게 모델링하고 수정 개선할 수 있는 K-FPGA 패브릭 평가 툴킷을 근간으로 구현되었으며 12개의 실용 예제에 적용하여 기존 방식에 비해 평균적으로 배선길이 22%, 슬라이스 사용량 5%를 감축하는 효과를 확인하였다. 본 연구는 신규 FPGA 아키텍처 개발을 위한 최적화 CAD 툴 개발 연구의 기초가 될 것으로 기대한다.