• 대한영상의학회지
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• 제81권4호
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• pp.920-932
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• 2020

목적 새로운 후처리 기술로 처리된 저선량 복부 디지털 방사선 영상의 진단능을 평가하기 위해 이 연구를 진행하게 되었다. 대상과 방법 팬텀과 파일럿 스터디에서 촬영된 복부 방사선 영상을 본 의료기관의 기존 및 새롭게 제시된 후처리 기술을 이용해 처리한 뒤 영상의 질을 비교하였다. 이후 시행된 45명의 환자 연구에 이용된 선량은 앞선 두 연구로부터 도출되었다. 한 환자당 두 장의 복부 방사선영상이 기존 및 도출된 선량으로 촬영되었고 제시된 후처리 기술로 처리되었다. 영상의 세부사항과 질을 두 명의 영상의학과 의사가 평가하였다. 결과 환자 연구에 이용된 선량은 기존 선량의 절반이었다. 제시된 후처리 기술을 이용해 처리된 절반의 선량으로 촬영된 영상들의 전체 영상 질은 기존 선량으로 촬영된 영상들에 비해 유의미하게 높았고(p < 0.05) 중등도의 평가자 간 일치도를 보였다(κ = 0.60, 0.47). 결론 새로운 후처리 기술을 적용함으로써, 절반의 선량으로 촬영된 복부 디지털 방사선 영상은 기존의 전체 선량을 이용한 영상과 비교했을 때 비견될 만한 영상의 질을 보였다.

• Korean Journal of Radiology
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• 제24권6호
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• pp.482-497
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• 2023

Sonazoid, a second-generation ultrasound contrast agent, was introduced for the diagnosis of hepatic nodules. To clarify the issues with Sonazoid contrast-enhanced ultrasonography for the diagnosis of hepatocellular carcinoma (HCC), the Korean Society of Radiology and Korean Society of Abdominal Radiology collaborated on the guidelines. The guidelines are de novo, evidence-based, and selected using an electronic voting system for consensus. These include imaging protocols, diagnostic criteria for HCC, diagnostic value for lesions that are inconclusive on other imaging results, differentiation from non-HCC malignancies, surveillance of HCC, and treatment response after locoregional and systemic treatment for HCC.

• Korean Journal of Radiology
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• 제24권4호
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• pp.294-304
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• 2023

Objective: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction methods. Materials and Methods: We collected contrast-enhanced dual-energy CT of the abdomen that was obtained using various reconstruction methods, including filtered back projection, iterative reconstruction, optimum contrast, and monoenergetic images with 40, 60, and 80 keV. A deep learning based image conversion algorithm was developed to standardize the CT images using 142 CT examinations (128 for training and 14 for tuning). A separate set of 43 CT examinations from 42 patients (mean age, 10.1 years) was used as the test data. A commercial software program (MEDIP PRO v2.0.0.0, MEDICALIP Co. Ltd.) based on 2D U-NET was used to create liver segmentation masks with liver volume. The original 80 keV images were used as the ground truth. We used the paired t-test to compare the segmentation performance in the Dice similarity coefficient (DSC) and difference ratio of the liver volume relative to the ground truth volume before and after image standardization. The concordance correlation coefficient (CCC) was used to assess the agreement between the segmented liver volume and ground-truth volume. Results: The original CT images showed variable and poor segmentation performances. The standardized images achieved significantly higher DSCs for liver segmentation than the original images (DSC [original, 5.40%-91.27%] vs. [standardized, 93.16%-96.74%], all P < 0.001). The difference ratio of liver volume also decreased significantly after image conversion (original, 9.84%-91.37% vs. standardized, 1.99%-4.41%). In all protocols, CCCs improved after image conversion (original, -0.006-0.964 vs. standardized, 0.990-0.998). Conclusion: Deep learning-based CT image standardization can improve the performance of automated hepatic segmentation using CT images reconstructed using various methods. Deep learning-based CT image conversion may have the potential to improve the generalizability of the segmentation network.

• Korean Journal of Radiology
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• 제20권8호
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• pp.1275-1284
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• 2019

Objective: To develop algorithms using convolutional neural networks (CNNs) for automatic segmentation of acute ischemic lesions on diffusion-weighted imaging (DWI) and compare them with conventional algorithms, including a thresholding-based segmentation. Materials and Methods: Between September 2005 and August 2015, 429 patients presenting with acute cerebral ischemia (training:validation:test set = 246:89:94) were retrospectively enrolled in this study, which was performed under Institutional Review Board approval. Ground truth segmentations for acute ischemic lesions on DWI were manually drawn under the consensus of two expert radiologists. CNN algorithms were developed using two-dimensional U-Net with squeeze-and-excitation blocks (U-Net) and a DenseNet with squeeze-and-excitation blocks (DenseNet) with squeeze-and-excitation operations for automatic segmentation of acute ischemic lesions on DWI. The CNN algorithms were compared with conventional algorithms based on DWI and the apparent diffusion coefficient (ADC) signal intensity. The performances of the algorithms were assessed using the Dice index with 5-fold cross-validation. The Dice indices were analyzed according to infarct volumes (< 10 mL, ≥ 10 mL), number of infarcts (≤ 5, 6-10, ≥ 11), and b-value of 1000 (b1000) signal intensities (< 50, 50-100, > 100), time intervals to DWI, and DWI protocols. Results: The CNN algorithms were significantly superior to conventional algorithms (p < 0.001). Dice indices for the CNN algorithms were 0.85 for U-Net and DenseNet and 0.86 for an ensemble of U-Net and DenseNet, while the indices were 0.58 for ADC-b1000 and b1000-ADC and 0.52 for the commercial ADC algorithm. The Dice indices for small and large lesions, respectively, were 0.81 and 0.88 with U-Net, 0.80 and 0.88 with DenseNet, and 0.82 and 0.89 with the ensemble of U-Net and DenseNet. The CNN algorithms showed significant differences in Dice indices according to infarct volumes (p < 0.001). Conclusion: The CNN algorithm for automatic segmentation of acute ischemic lesions on DWI achieved Dice indices greater than or equal to 0.85 and showed superior performance to conventional algorithms.

• 한국산업보건학회지
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• 제34권1호
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• pp.18-25
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• 2024

Objectives: The primary aim of this study is to create an Occupational Safety and Health (OSH) guide for high-risk maintenance tasks, specifically one designed for maintenance work (MW) in the electronics industry. Methods: The methodology involved a literature review, field investigations, and discussions. An initial draft of the OSH guide was created and then refined through consultations with experts possessing extensive experience in MW for electronic processes. Results: Specific MW tasks within electronics processing facilities identified as high-risk by the research were selected. A comprehensive OSH guide for these tasks was developed consisting of approximately 11 to 12 components and encompassing about 20-25 pages. Implementing safety and health measures before, during, and after MW is crucial for the protection of maintenance personnel. The guide is enriched with real-case scenarios of industrial accidents and occupational diseases to enhance maintenance workers' comprehension of the OSH principles. For a clearer understanding of and adherence to the safety protocols, the guide incorporates visual aids, including cartoons and photographs. Conclusions: This OSH guide is designed to ensure the protection of workers involved in maintenance activities in the electronics industry. It aligns with global standards set by the International Organization for Standardization (ISO) and Semiconductor Equipment and Material International (SEMI) to ensure a high level of safety and compliance.

• Journal of Plant Biotechnology
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• 제50권
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• pp.176-182
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• 2023

사과 '후지'의 잎 절편체로부터 신초 기관형성을 통한 효율적인 식물체 재생 시스템을 확립하기 위하여 암처리 기간, 전처리 방법, 배양 용기당 치상 절편체 수, 배양 용기의 종류와 배지 위의 절편체 치상방향 등을 달리하여 실험을 실시하였다. 배양 초기 암조건에서의 배양은 신초 형성에 필수적이며, 4주 동안 배양한 후 명조건으로 옮겨 배양하는 것이 신초 재생에 가장 효과적이었다. 배양 전 전처리로는 sorbitol 40 g/L가 포함된 액체 재생배지에 2시간 동안 침지하였을 때 신초 형성율이 87.5%까지 증가하였으며, 신초 형성 시기가 빨라지는 것으로 나타났다. 배양 용기당 치상 절편체 수는 9개를 치상하는 것이 신초 재생에 효과적이었으며, 배양 용기는 100 ml 삼각플라스크를 사용하는 것이 petri dish를 사용하는 것에 비해 신초 형성율이 약 3배 정도 증가하였다. 잎절편체의 배지 위 치상방향은 배축면이 배지에 닿게 치상했을 때, 신초 형성율과 재생된 신초수가 다소 높게 나왔다. 암조건에서 4주간 배양한 후 명조건으로 옮겨총8주간 배양하여 재생된 신초는 1/4 MS에 0.2 mg/L의 IBA가 첨가된 배지에서 발근을 유도한 후 활착시켜 온실에서 재배하였을 때 정상적인 표현형을 보여주었다.

• 산업과 과학
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• 제3권1호
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• pp.23-29
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• 2024

본 연구에서는 자율 주행을 위한 지능형 교통 시스템(ITS)을 최적화하는 데 있어 엣지 컴퓨팅의 혁신적인 잠재력을 연구하였다. 방대한 양의 데이터를 로컬에서 실시간으로 처리하는 엣지 컴퓨팅의 능력은 신속한 의사 결정 및 향상된 안전 조치를 포함하여 자율주행차의 중요한 요구 사항을 해결하는 데 필수 요소이다. 엣지 컴퓨팅과 기존 ITS 인프라의 통합을 탐구하고, 현지화된 데이터 처리가 대기 시간을 크게 줄여 자율주행차의 반응성을 향상시키는 방법을 강조한다. 실시간 교통 관리, 충돌 방지 시스템 및 동적 경로 최적화를 지원하는 강력한 프레임워크를 집합적으로 형성하는 엣지서버, 센서 및 V2X(Vehicle-to-Everything) 통신 기술의 배포를 검토한다. 또한 본 연구는 보안, 데이터 통합, 시스템 확장성 등 ITS에서 엣지 컴퓨팅을 구현하는 데 있어 가장 중요한 과제를 다루며 잠재적인 솔루션과 향후 연구 방향에 대한 통찰력을 제공한다. 이 논문은 완전 자율 주행이라는 비전을 실현하는 데 있어 엣지 컴퓨팅의 중추적인 역할을 강조하고, 보다 안전하고 효율적이며 지속 가능한 교통 시스템을 달성하는 데 기여하는 논문이다.

• Journal of Animal Science and Technology
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• 제66권1호
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• pp.79-92
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• 2024

Global warming is a key challenge subjecting animals to heat stress conditions resulting in multiple physiological alterations in tropical climate. Dietary approach seems to be the more friendly approach to curb the adverse effects of heat stress in rabbits. Some herbs have been categorized to have high potential for promotion of immune responses for amelioration of heat stress. Thus, this research aims to evaluate the potential of Mistletoe (Viscum album), Moringa (Moringa oleifera) and Phyllanthus (Phyllanthus amarus) leaf meal as herbal supplements for the alleviation of heat stress in female rabbits by measuring improvement in sex and stress hormonal responses in serum biochemistry. 80 Rabbit does were exposed to 4 dietary groups supplemented with each of Mistletoe, Moringa, Phyllanthus and a control in an 84-day trial at the summit of thermal stress in South west Nigeria. Growth indices were monitored throughout the study, blood samples were compiled at the end of the trial to assess serum biochemistry, stress and sex hormonal responses of the Does using standard protocols. The results revealed that final weight and weight gain of Does fed on Phyllanthus were significantly (p < 0.05) higher (11.46% and 14.25%, respectively) than Does on control. The herbal supplements enhance glucose, protein, albumin and globulin, reduced cholesterol, and creatinine of Does under heat stress conditions. Among the herbal treatment groups, mistletoe, moringa and phyllanthus had 12.42%, 18.39% and 16.90%, respectively, lower corticosterone than control groups which had 39.76ng/ml. Triiodothyronine of Does fed control were significantly (p < 0.05) lower than Does on Moringa oleifera and Phyllanthus amarus supplements. Estradiol and Follicle stimulating hormone of rabbit Does fed on moringa supplement were significantly (p < 0.05) higher than other treatments. In conclusion, the herbal supplements tend to mitigate the detrimental outcome of thermal stress on Does by suppressing stress hormones. Moringa oleifera and Phyllanthus amarus enhanced sex hormones while Phyllanthus amarus confered growth promoting effects on the Does.

• 한국국방기술학회 논문지
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• 제5권3호
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• pp.8-17
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• 2023

현재의 무기체계는 다양한 표준과 프로토콜이 적용된 복합무기체계가 운용되어서 전장에서 연합 및 합동작전시 원활한 정보교환 실패의 위험이 있다. 무기체계간 신속한 상황판단으로 핵심표적에 대한 정밀타격을 수행하기 위한 무기체계들의 상호운용성은 전쟁수행의 핵심요소이다. 한국군은 전력화 이후 다수의 소프트웨어 및 하드웨어의 형상변경과 성능개선 소요가 발생하고 있으나, 상호운용성에 미치는 영향에 대한 검증제도가 없으며, 관련 시험 도구 및 시설도 전무한 실정이다. 또한 연합 및 합동훈련시 무기 / 전력지원체계의 세부 운용방식과 소프트웨어를 임의로 변경한 후 이에 따른 사용자 간 오류가 빈번히 발생하고 있다. 그래서 주기적인 무기체계간 상호운용성 검증이 필요하다. 이러한 문제를 해결하기 위하여 사람이 평가기간을 잡아서 1번 평가를 진행하는것이 아니라, AI가 24시간 무기 / 전력지원 체계간 상호운용성을 지속적으로 평가하여 전쟁수행능력을 고도화해야 한다, 이러한 문제점을 해결하기 위하여 자연어 처리기법(①Word2Vec 모델 ②FastText 모델 ③Swivel 모델)을 적용(공개된 알고리즘과 소스코드 사용)하여 국방상호운용성 능력향상을 위한 사전연구를 수행하였다. 이 실험의 결과를 바탕으로 사람에 의존하지 않고, 자동화된 국방상호운용성 평가도구를 구현하기 위한 방법론(자연어 처리 모델을 통한 상호운용성 소요평가 / 수준측정의 자동화된 평가)을 향후 제시하고자 한다.

• Hip & pelvis
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• 제34권1호
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• pp.25-34
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• 2022

Purpose: Mortality rates following hip fracture surgery have been well-studied. This study was conducted to examine mortality rates in asymptomatic patients presenting for treatment of acute hip fractures with concurrent positive COVID-19(+) tests compared to those with negative COVID-19(-) tests. Materials and Methods: A total of 149 consecutive patients undergoing hip fracture surgery during the COVID-19 pandemic at two academic medical centers were reviewed retrospectively. Patients were divided into two groups for comparative analysis: one group included asymptomatic patients with COVID-19+ tests versus COVID-19- tests. The primary outcome was mortality at 30-days and 90-days. Results: COVID-19+ patients had a higher mortality rate than COVID-19- patients at 30-days (26.7% vs 6.0%, P=0.005) and 90-days (41.7% vs 17.2%, P=0.046) and trended towards an increased length of hospital stay (10.1±6.2 vs 6.8±3.8 days, P=0.06). COVID-19+ patients had more pre-existing respiratory disease (46.7% vs 11.2%, P=0.0002). Results of a Cox regression analysis showed an increased risk of mortality at 30-days and 90-days from COVID-19+ status alone without an increased risk of death in patients with pre-existing chronic respiratory disease. Conclusion: Factors including time to surgery, age, preexisting comorbidities, and postoperative ambulatory status have been proven to affect mortality and complications in hip fracture patients; however, a positive COVID-19 test result adds another variable to this process. Implementation of protocols that will promote prompt orthogeriatric assessments, expedite patient transfer, limit operating room traffic, and optimize anesthesia time can preserve the standard of care in this unique patient population.