• Clinical and Experimental Reproductive Medicine
• /
• 제47권1호
• /
• pp.1-11
• /
• 2020

Endometriosis is a common inflammatory disease in women of reproductive age and is one of the major causes of infertility. Endometriosis causes a sustained reduction of ovarian reserve through both physical mechanisms and inflammatory reactions, which result in the production of reactive oxygen species and tissue fibrosis. The severity of endometriosis is related to ovarian reserve. With regard to infertility treatment, medical therapy as a neoadjuvant or adjuvant to surgical therapy has no definite beneficial effect. Surgical treatment of endometriosis can lead to ovarian injury during the resection of endometriotic tissue, which leads to the deterioration of ovarian reserve. To overcome this disadvantage, a multistep technique has been proposed to minimize the reduction of ovarian reserve. When considering surgical treatment of endometriosis in patients experiencing infertility, it should be kept in mind that ovarian reserve can be reduced both due to endometriosis itself and by the process of removing endometriosis. In cases of mild- to moderate-stage endometriosis, intrauterine insemination with ovarian stimulation after surgical treatment may increase the likelihood of pregnancy. In cases of severe endometriosis, the characteristics of the patient should be considered in a multidisciplinary manner to determine the prioritization of treatment modalities, including surgical treatment and assisted reproduction methods such as in vitro fertilization. The risk of cancer, complications after pregnancy, and infection during oocyte retrieval should also be considered when making treatment decisions.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2016년도 학술발표회
• /
• pp.197-197
• /
• 2016

Forecasting future drought events in a region plays a major role in water management and risk assessment of drought occurrences. The creeping characteristics of drought make it possible to mitigate drought's effects with accurate forecasting models. Drought forecasts are inevitably plagued by uncertainties, making it necessary to derive forecasts in a probabilistic framework. In this study, a new probabilistic scheme is proposed to forecast droughts, in which a discrete-time finite state-space hidden Markov model (HMM) is used aggregated with the Representative Concentration Pathway 8.5 (RCP) precipitation projection (HMM-RCP). The 3-month standardized precipitation index (SPI) is employed to assess the drought severity over the selected five stations in South Kore. A reversible jump Markov chain Monte Carlo algorithm is used for inference on the model parameters which includes several hidden states and the state specific parameters. We perform an RCP precipitation projection transformed SPI (RCP-SPI) weight-corrected post-processing for the HMM-based drought forecasting to derive a probabilistic forecast that considers uncertainties. Results showed that the HMM-RCP forecast mean values, as measured by forecasting skill scores, are much more accurate than those from conventional models and a climatology reference model at various lead times over the study sites. In addition, the probabilistic forecast verification technique, which includes the ranked probability skill score and the relative operating characteristic, is performed on the proposed model to check the performance. It is found that the HMM-RCP provides a probabilistic forecast with satisfactory evaluation for different drought severity categories, even with a long lead time. The overall results indicate that the proposed HMM-RCP shows a powerful skill for probabilistic drought forecasting.

• International Journal of Clinical Preventive Dentistry
• /
• 제14권4호
• /
• pp.264-270
• /
• 2018

Objective: This study performed a quantitative analysis using the real-time polymerase chain reaction technique to examine the oral microbial prevalence in adults and intended to examine the correlations between risk factors of periodontal disease and oral bacteria and correlation between oral test scores and oral microorganisms. Methods: We examined papillary marginal attached (PMA) index, modified patient hygiene performance (M-PHP) index, probing depth (PD), modified gingival index, and oral bacteria counts and surveyed 117, 20 years or older adult males and females who visited dental clinics in the Daejeon region to analyze the prevalence and oral health. Results: The prevalence was 100% for Fusobacterium nucleatum, meaning it was observed in all examined subject, 85.5% for Parvimonas micra, 76.1% for Prevotella intermedia, and 72.6% for Tannerella forsythia. The averages of P. gingivalis and T. forsythia increased as the examined subjects were older, and there was a statistically significant difference between T. forsythia and E. nodatum in relation to medical history, between P. intermedia and P. micra in relation to gender, and between P. intermedia and E. corrodens in relation to smoking (p<0.05). For a correlation between the oral test scores and oral microorganisms, P. gingivalis and F. nucleatum was highly correlated with PD (correlation coefficient of 0.51 and 0.41) (p<0.01) while P. gingivalis, P. micra, C. rectus, and E. nodatum were significantly correlated with M-PHP index, gingival index, PD, and PMA index (p<0.01, p<0.05). Conclusion: For oral health management of adults, the age, systemic disease, and smoking are closely related to oral bacteria, and P. gingivalis, T. forsythia, F. nucleatum, P. intermedia, P. micra, C. rectus, E. corrodens, and E. nodatum are considered to be the oral microorganisms that indicate periodontal health.

• International Journal of Internet, Broadcasting and Communication
• /
• 제14권1호
• /
• pp.85-94
• /
• 2022

Recently, consumers who prefer contactless consumption are increasing due to pandemic trends such as Corona 19. This is the driving force for developing the last mile-based logistics ecosystem centered on the online e-commerce market. Lastmile led to the continued development of the logistics industry, but increased the amount of cargo in urban area, and caused social problems such as overcrowding of logistics. The courier service in the logistics base area utilizes the process of visiting the delivery site directly because the courier must precede the loading work of the cargo in the truck for the delivery of the ordered product. Currently, it's carried out as automated logistics equipment such as conveyor belt in unloading or classification stage, but the automation system isn't applied, so the work efficiency is decreasing and the intensity of the courier worker's labor is increased. In particular, small-scale courier workers belonging to the sub-terminal unload at night at underdeveloped facilities outside the city center. Therefore, the productivity of the work is lowered and the risk of safety accidents is exposed, so robot-based loading technology is needed. In this paper, we have derived the top-level concept and requirements of robot-based loading system to increase the flexibility of logistics processing and to ensure the safety of courier drivers. We defined algorithms and motion concepts to increase the cargo loading efficiency of logistics sub-terminals through the requirements of end effector technology, which is important among concepts. Finally, the control technique was proposed to determine and position the load for design input development of the automatic conveyor system.

• Journal of Trauma and Injury
• /
• 제35권2호
• /
• pp.123-127
• /
• 2022

Iatrogenic vascular injury (IVI) can occur with any technique or type of surgery performed around a blood vessel. Patients with severe trauma are at risk of IVI. In this study, we describe our experiences of IVI in the trauma field. We reviewed five patients who were diagnosed with an IVI and received either surgical or endovascular treatment. Of the five patients, one had an arterial injury, three had venous injuries, and one had an arteriovenous fistula, a form of combined arterial and venous injuries. Of the five patients, four had undergone orthopedic surgery. The IVIs of three patients were immediately identified in the operating room and simultaneous vascular repair was performed. The remaining one patient underwent additional surgery for occlusion related to entrapment of the superficial femoral artery by a surgical wire used during orthopedic surgery. Complications presumably related to the IVI were identified in two patients. IVI in trauma patients can be successfully managed, but significant morbidity can occur. If an IVI is suspected, immediate evaluation and management are required.

• 한국ITS학회 논문지
• /
• 제21권6호
• /
• pp.299-310
• /
• 2022

자율주행시스템은 자율주행 센서, 판단 및 제어 알고리즘 등을 기반으로 스스로 자율주행할 수 있는 기능을 갖추고 있다. 자율주행의 안전성은 도로 네트워크의 운영 상태와 관련성이 높고 도로 인프라와의 협력이 필요하다. 자율주행의 안전한 운행을 위해서는 지속적으로 도로와 교통 조건이 적합한지를 모니터링 할 필요가 있다. 본 연구는 자율주행시스템의 ODD (Operational Design Domain) 특성에 따라 선정된 모니터링 항목을 관리할 수 있는 체계를 구축하기 위한 노드와 링크 체계를 제시하였다. 확장성을 고려하여 기존의 ITS 표준 노드링크 체계를 기반으로 하였으며, 모니터링 대상을 노드와 링크로 표출하는 방안을 제시하였다. 위험도를 5단계로 구분하고 관리하는 방안과 최적경로 탐색 및 통제 시 노드와 링크의 정보를 활용하는 방안을 제시하였다. 세종시를 대상으로 제시된 노드와 링크체계를 기반으로 한 시스템구축 사례를 소개하였다.

• 한국컴퓨터정보학회논문지
• /
• 제28권8호
• /
• pp.137-144
• /
• 2023

사회문제를 해결하는 방법들 중 하나로 활용성이 제시되고 있는 빅데이터 분석기법을 이용하여 작업관련성 근골격계질환에 관한 연구동향을 분석하고자 키워드 네트워크 분석 기법과 CONCOR 분석기법을 적용하여 본 연구를 진행하였다. 본 연구에서 도출한 연구결과는 첫째, 작업관련성 근골격계질환 논문 수는 근골격계 유해요인조사가 실시된 2003년 이후 20년간 연평균 33편 이상 게재되었으며 2007~2009년 게재 비율이 증가하였다. 둘째, 텍스트 마이닝을 이용하여 출현된 상위 키워드의 빈도는 작업(4,940), 근골격계질환(2,197), 증상(1,836), 관련(1,769), 근골격계(1,421) 등의 순으로 나타났다. 셋째, CONCOR 분석결과 '근골격계질환 치료', '안전보건관리', '근로환경조사', '작업환경측정' 4개의 군집으로 나뉘었다. 본 연구가 근골격계질환 연구의 발전방안을 위한 세부적인 연구로서 다양한 방향으로 모색하는데 활용되기를 기대한다.

• Asia pacific journal of information systems
• /
• 제30권3호
• /
• pp.614-635
• /
• 2020

This study aims at understanding gender difference in trust and the related factors affecting the intention to purchase voice speakers VS. VS are one of the innovations that are emerging at a fast pace in the market. Although it seems to be widely embraced by both genders, people do not intend to use them in some cases due to a lack of trust and the rumors circling these types of technologies. Nevertheless, there are particular barriers to the acceptance of VS technology between females and males due to unfamiliarity with the effective components of such technologies. Therefore, assuming that increasing the knowledge-based familiarity with an effective technique is essential for accepting it. So far, only little is known about VS and its concepts to increase the familiarity and, as a consequence, the acceptance of effective technology. Technology adoption in gender has been studied for many years, and there are many general models in the literature describing it. However, having more customized models for emerging technologies upon their features seems necessary. This study is based on Theory of Reasoned Action and trust-based acceptance which provides a background for understanding the relationships between beliefs, attitude, intentions, and subject norms and how it's affecting gender trust in VS. The statistical analysis results indicate that perceived system quality and perceived interaction quality have stronger influences on trust for males, while privacy concern and emotional trust have stronger influences on trust for females with the intention of purchase for both genders. Our study can be beneficial for future research in the areas of Perceived risk and Perceived utility and behavioral intention to use and human-technology interaction and psychology.

• 농업과학연구
• /
• 제49권4호
• /
• pp.801-812
• /
• 2022

Omics-driven synthetic biology is a multidisciplinary research field that creates new artificial life by employing genetic components, biological devices, and engineering technique based on genetic knowledge and technological expertise. It is also utilized to make valuable biomaterials with limited production via current organisms faster, more efficient, and in huge quantities. As the bioeconomic age begins, and the global synthetic biology market becomes more competitive, investment in research and development (R&D) and associated sectors has grown considerably. By overcoming the constraints of present biotechnologies through the merging of big data and artificial intelligence technologies, huge ripple effects are envisaged in the pharmaceutical, chemical, and energy industries. In agriculture, synthetic biology is being used to solve current agricultural problems and develop sustainable agricultural systems by increasing crop productivity, implementing low-carbon agriculture, and developing plant-based, high-value-added bio-materials such as vaccines for diagnosing and preventing livestock diseases. As international regulatory debates on synthetic biology are now underway, discussions should also take place in our country for the growth of bioindustries and the dissemination of research findings. Furthermore, the system must be improved to facilitate practical application and to enhance the risk evaluation technology and management system.

• 한국농림기상학회지
• /
• 제24권2호
• /
• pp.63-77
• /
• 2022

농업기상재해 조기경보시스템에서 모의되는 농장 규모 풍속 예측자료의 추정오차를 개선하기 위해, 농촌진흥청 농업기상관측망의 2020년 1~12월 풍속 관측자료와 해당 지점에 대한 조기경보시스템 모의 풍속을 이용하여, 87지점 일 8시간대(00, 03, 06 … 21시) 각각 풍속 추정오차를 종속변수로, 추정풍속을 독립변수로 하는 일차 회귀식(Y=aX+b)을 도출하였다. 상관계수가 0.5를 초과하였을 때는 회귀식을 풍속 보정식으로 활용하고, 상관계수가 0.5 이하일 때는 회귀식 대신 해당 지점 및 시간대의 ME를 보정값으로 대체하였다. 풍속 모형을 전국적으로 적용할 수 있도록 87지점×8개 시간의 회귀계수 a와 b, 상관계수 R과 ME 값으로 거리역산가중법으로 공간내삽하여 250m 격자해상도의 분포도를 제작하였다. 모형의 검증을 위하여 회귀계수 a와 b, 상관계수 R과 ME 공간내삽 분포도로 부터 농산촌 지역 13개 기상관측지점의 격자값을 추출하고, 13곳의 2019년 1~12월의 조기경보시스템 모의 풍속(00, 03, 06 … 21시)를 보정한 다음, 기존 추정 풍속과 함께 추정오차를 비교하였다. 검증 지점 풍속의 평균 ME는 0.68m/s에서 보정 후 0.45m/s로 감소하였으며, 평균 RMSE는 1.30m/s에서 1.05m/s로 감소하였다. 조기경보시스템의 풍속은 전 시간대에서 모두 과대 추정되고 있는데, 보정 기법을 적용한 후에는 15시 경을 제외하고 모두 과대추정 경향이 감소하여 ME가 약 33%, RMSE는 19.2% 더 개선되었다. 농업기상재해 조기경보시스템에서 농작물의 풍해 위험 판단은 일 8회의 풍속 평균값으로부터 도출된 일 최대순간풍속을 기반으로 하는데, 풍속의 과대모의 현상을 개선하여 강풍 위험 경보의 오보를 감소시킬 것으로 기대된다.