• 제목/요약/키워드: random value

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분무형 생활화학제품의 분사형태 분류제안과 부유비율 평가 (Classification Proposals for Spray Type and Airborne Fraction Ratio of Consumer Chemical Products)

  • 황성호;김민정;김민철;박정연;조현빈;이명호;이기영;조경덕;윤충식
    • 한국환경보건학회지
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    • 제49권6호
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    • pp.305-311
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    • 2023
  • Background: The National Institute of Environmental Research (NIER)'s classification of and airborne fraction ratio for consumer chemical products (CCP) does not reflect the characteristics of various product classifications. Objectives: The purpose of this study was to reclassify the types of spray products according to the diverse spray characteristics of CCPs to evaluate the airborne fraction ratio of representative spray types and to compare them with previous CCPs types and airborne fraction ratios. Methods: One thousand seven hundred two products were selected through market research, and 932 newly reported products were selected. After that, 200 were selected to evaluate products with potential inhalation exposure. After classifying six product types that are expected to show differences in the airborne fraction ratio according to the type of product, a final 38 products were selected for use in the airborne fraction ratio through random sampling. Results: CCP has been reclassified from two to six types so that the characteristics of all products are well-reflected. The NIER simply had two airborne fraction ratios, but the results of experiments with six types of products showed a significant difference in values (p<0.01). Airborne fraction ratios of propellant general foam, pump general aerosol, and pump trigger foam in spray type, which were not previously present in NIER, were 7.1%, 24.4%, and 3.5%, respectively. Conclusions: For the diversified types of CCPs, the newly proposed classification was more appropriate than the existing NIER classification. The airborne fraction ratio was also different for each type, so a new value was suggested.

사장교 케이블의 실시간 손상평가를 위한 센서 배치의 최적화 (Optimization of Sensor Location for Real-Time Damage assessment of Cable in the cable-Stayed Bridge)

  • 방건혁;허광희;이재훈;이유재
    • 한국구조물진단유지관리공학회 논문집
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    • 제27권6호
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    • pp.172-181
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    • 2023
  • 본 연구에서는 케이블의 손상에 대한 사장교의 실시간 손상평가를 진행하였다. 사장교의 실시간 손상평가를 위한 센서는 가속도 센서를 사용하였으며, KEOT(Kinetic Energy Optimization Techniques)를 이용하여 센서의 위치와 수량에 대한 최적의 조건을 선정했다. KEOT는 구조물이 외력에 의해서 진동할 때, 최대변형에너지의 값을 계측하여 최적 계측 위치와 센서의 수량을 결정한다. 본 연구에서의 손상 조건은 케이블의 파단으로 제한하였으며 사장교를 4개의 구간으로 나누어 구간별 케이블 손상을 주었다. 사장교 케이블의 실시간 손상평가 방법은 FE 구조해석을 통하여 실제 모델과 유사한 가상의 모델을 만들었다. 생성된 가상 모델과 모형 구조물에 랜덤 가진파를 가한 이후 모형 구조물의 케이블 손상을 주었다. 가상 모델에서 출력되는 응답을 무손상 상태의 응답으로 정의하고 실제 모델에서 계측되는 응답을 손상 상태의 데이터로 정의하여 두 데이터를 비교하였다. 무손상 상태의 사장교의 데이터로부터 손상 상태의 사장교의 데이터를 IMD(Improved Mahalanobis Distance) 이론에 적용하여 손상의 정도를 평가하였다. IMD 이론으로 손상을 평가한 결과 구간별 손상을 실시간으로 적절하게 찾아내어 실시간 모니터링에 적용할 수 있는 유용한 손상평가 기술로 확인되었다.

Parameter estimation and assessment of bias in genetic evaluation of carcass traits in Hanwoo cattle using real and simulated data

  • Mohammed Bedhane;Julius van der Werf;Sara de las Heras-Saldana;Leland Ackerson IV;Dajeong Lim;Byoungho Park;Mi Na Park;Seunghee Roh;Samuel Clark
    • Journal of Animal Science and Technology
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    • 제65권6호
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    • pp.1180-1193
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    • 2023
  • Most carcass and meat quality traits are moderate to highly heritable, indicating that they can be improved through selection. Genetic evaluation for these types of traits is performed using performance data obtained from commercial and progeny testing evaluation. The performance data from commercial farms are available in large volume, however, some drawbacks have been observed. The drawback of the commercial data is mainly due to sorting of animals based on live weight prior to slaughter, and this could lead to bias in the genetic evaluation of later measured traits such as carcass traits. The current study has two components to address the drawback of the commercial data. The first component of the study aimed to estimate genetic parameters for carcass and meat quality traits in Korean Hanwoo cattle using a large sample size of industry-based carcass performance records (n = 469,002). The second component of the study aimed to describe the impact of sorting animals into different contemporary groups based on an early measured trait and then examine the effect on the genetic evaluation of subsequently measured traits. To demonstrate our objectives, we used real performance data to estimate genetic parameters and simulated data was used to assess the bias in genetic evaluation. The results of our first study showed that commercial data obtained from slaughterhouses is a potential source of carcass performance data and useful for genetic evaluation of carcass traits to improve beef cattle performance. However, we observed some harvesting effect which leads to bias in genetic evaluation of carcass traits. This is mainly due to the selection of animal based on their body weight before arrival to slaughterhouse. Overall, the non-random allocation of animals into a contemporary group leads to a biased estimated breeding value in genetic evaluation, the severity of which increases when the evaluation traits are highly correlated.

Strategies for Managing Dementia Patients through Improving Oral Health and Occlusal Rehabilitation: A Review and Meta-analysis

  • Yeon-Hee Lee;Sung-Woo Lee;Hak Young Rhee;Min Kyu Sim;Su-Jin Jeong;Chang Won Won
    • Journal of Korean Dental Science
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    • 제16권2호
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    • pp.128-148
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    • 2023
  • Dementia is an umbrella term that describes the loss of thinking, memory, attention, logical reasoning, and other mental abilities to the extent that it interferes with the activities of daily living. More than 50 million individuals worldwide live with dementia, which is expected to increase to 131 million by 2050. Recent research has shown that poor oral health increases the risk of dementia, while oral health declines with cognitive decline. In this narrative review, the literature was based on the "hypothesis" that dementia and oral health have a close relationship, and appropriate oral health and occlusal rehabilitation treatment can improve the quality of life of patients with dementia and prevent progression. We conducted a literature search in PubMed and Google Scholar databases, using the search terms "dementia," "major neurocognitive disorder," "dentition," "occlusion," "tooth loss," "dental prosthesis," "dental implant," and "occlusal rehabilitation" in the title field over the past 30 years. A total of 131 studies that scientifically addressed dementia, oral health, and/or oral rehabilitation were included. In a meta-analysis, the random effect model demonstrated significant tooth loss increasing the dementia risk 3.64-fold (pooled odds ratio=3.64, 95% confidence interval [2.50~5.32], P-value=0.0348). Tooth loss can be an important indicator of cognitive function decline. As the number of missing teeth increases, the risk of dementia increases. Loss of teeth can lead to a decrease in the ascending information to the brain and reduced masticatory ability, cerebral blood flow, and psychological atrophy. Oral microbiome dysbiosis and migration of key bacterial species to the brain can also cause dementia. Additionally, inflammation in the oral cavity affects the inflammatory response of the brain and the complete body. Conversely, proper oral hygiene management, the placement of dental implants or prostheses to replace lost teeth, and the restoration of masticatory function can inhibit symptom progression in patients with dementia. Therefore, improving oral health can prevent dementia progression and improve the quality of life of patients.

Performance of Prediction Models for Diagnosing Severe Aortic Stenosis Based on Aortic Valve Calcium on Cardiac Computed Tomography: Incorporation of Radiomics and Machine Learning

  • Nam gyu Kang;Young Joo Suh;Kyunghwa Han;Young Jin Kim;Byoung Wook Choi
    • Korean Journal of Radiology
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    • 제22권3호
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    • pp.334-343
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    • 2021
  • Objective: We aimed to develop a prediction model for diagnosing severe aortic stenosis (AS) using computed tomography (CT) radiomics features of aortic valve calcium (AVC) and machine learning (ML) algorithms. Materials and Methods: We retrospectively enrolled 408 patients who underwent cardiac CT between March 2010 and August 2017 and had echocardiographic examinations (240 patients with severe AS on echocardiography [the severe AS group] and 168 patients without severe AS [the non-severe AS group]). Data were divided into a training set (312 patients) and a validation set (96 patients). Using non-contrast-enhanced cardiac CT scans, AVC was segmented, and 128 radiomics features for AVC were extracted. After feature selection was performed with three ML algorithms (least absolute shrinkage and selection operator [LASSO], random forests [RFs], and eXtreme Gradient Boosting [XGBoost]), model classifiers for diagnosing severe AS on echocardiography were developed in combination with three different model classifier methods (logistic regression, RF, and XGBoost). The performance (c-index) of each radiomics prediction model was compared with predictions based on AVC volume and score. Results: The radiomics scores derived from LASSO were significantly different between the severe AS and non-severe AS groups in the validation set (median, 1.563 vs. 0.197, respectively, p < 0.001). A radiomics prediction model based on feature selection by LASSO + model classifier by XGBoost showed the highest c-index of 0.921 (95% confidence interval [CI], 0.869-0.973) in the validation set. Compared to prediction models based on AVC volume and score (c-indexes of 0.894 [95% CI, 0.815-0.948] and 0.899 [95% CI, 0.820-0.951], respectively), eight and three of the nine radiomics prediction models showed higher discrimination abilities for severe AS. However, the differences were not statistically significant (p > 0.05 for all). Conclusion: Models based on the radiomics features of AVC and ML algorithms may perform well for diagnosing severe AS, but the added value compared to AVC volume and score should be investigated further.

Automated Detection and Segmentation of Bone Metastases on Spine MRI Using U-Net: A Multicenter Study

  • Dong Hyun Kim;Jiwoon Seo;Ji Hyun Lee;Eun-Tae Jeon;DongYoung Jeong;Hee Dong Chae;Eugene Lee;Ji Hee Kang;Yoon-Hee Choi;Hyo Jin Kim;Jee Won Chai
    • Korean Journal of Radiology
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    • 제25권4호
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    • pp.363-373
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    • 2024
  • Objective: To develop and evaluate a deep learning model for automated segmentation and detection of bone metastasis on spinal MRI. Materials and Methods: We included whole spine MRI scans of adult patients with bone metastasis: 662 MRI series from 302 patients (63.5 ± 11.5 years; male:female, 151:151) from three study centers obtained between January 2015 and August 2021 for training and internal testing (random split into 536 and 126 series, respectively) and 49 MRI series from 20 patients (65.9 ± 11.5 years; male:female, 11:9) from another center obtained between January 2018 and August 2020 for external testing. Three sagittal MRI sequences, including non-contrast T1-weighted image (T1), contrast-enhanced T1-weighted Dixon fat-only image (FO), and contrast-enhanced fat-suppressed T1-weighted image (CE), were used. Seven models trained using the 2D and 3D U-Nets were developed with different combinations (T1, FO, CE, T1 + FO, T1 + CE, FO + CE, and T1 + FO + CE). The segmentation performance was evaluated using Dice coefficient, pixel-wise recall, and pixel-wise precision. The detection performance was analyzed using per-lesion sensitivity and a free-response receiver operating characteristic curve. The performance of the model was compared with that of five radiologists using the external test set. Results: The 2D U-Net T1 + CE model exhibited superior segmentation performance in the external test compared to the other models, with a Dice coefficient of 0.699 and pixel-wise recall of 0.653. The T1 + CE model achieved per-lesion sensitivities of 0.828 (497/600) and 0.857 (150/175) for metastases in the internal and external tests, respectively. The radiologists demonstrated a mean per-lesion sensitivity of 0.746 and a mean per-lesion positive predictive value of 0.701 in the external test. Conclusion: The deep learning models proposed for automated segmentation and detection of bone metastases on spinal MRI demonstrated high diagnostic performance.

Non-Contrast Cine Cardiac Magnetic Resonance Derived-Radiomics for the Prediction of Left Ventricular Adverse Remodeling in Patients With ST-Segment Elevation Myocardial Infarction

  • Xin A;Mingliang Liu;Tong Chen;Feng Chen;Geng Qian;Ying Zhang;Yundai Chen
    • Korean Journal of Radiology
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    • 제24권9호
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    • pp.827-837
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    • 2023
  • Objective: To investigate the predictive value of radiomics features based on cardiac magnetic resonance (CMR) cine images for left ventricular adverse remodeling (LVAR) after acute ST-segment elevation myocardial infarction (STEMI). Materials and Methods: We conducted a retrospective, single-center, cohort study involving 244 patients (random-split into 170 and 74 for training and testing, respectively) having an acute STEMI (88.5% males, 57.0 ± 10.3 years of age) who underwent CMR examination at one week and six months after percutaneous coronary intervention. LVAR was defined as a 20% increase in left ventricular end-diastolic volume 6 months after acute STEMI. Radiomics features were extracted from the oneweek CMR cine images using the least absolute shrinkage and selection operator regression (LASSO) analysis. The predictive performance of the selected features was evaluated using receiver operating characteristic curve analysis and the area under the curve (AUC). Results: Nine radiomics features with non-zero coefficients were included in the LASSO regression of the radiomics score (RAD score). Infarct size (odds ratio [OR]: 1.04 (1.00-1.07); P = 0.031) and RAD score (OR: 3.43 (2.34-5.28); P < 0.001) were independent predictors of LVAR. The RAD score predicted LVAR, with an AUC (95% confidence interval [CI]) of 0.82 (0.75-0.89) in the training set and 0.75 (0.62-0.89) in the testing set. Combining the RAD score with infarct size yielded favorable performance in predicting LVAR, with an AUC of 0.84 (0.72-0.95). Moreover, the addition of the RAD score to the left ventricular ejection fraction (LVEF) significantly increased the AUC from 0.68 (0.52-0.84) to 0.82 (0.70-0.93) (P = 0.018), which was also comparable to the prediction provided by the combined microvascular obstruction, infarct size, and LVEF with an AUC of 0.79 (0.65-0.94) (P = 0.727). Conclusion: Radiomics analysis using non-contrast cine CMR can predict LVAR after STEMI independently and incrementally to LVEF and may provide an alternative to traditional CMR parameters.

PET/CT 검사에서 영상의 질을 유지하기 위한 적정한 $^{18}F$-FDG 투여량의 평가 (Evaluation of Reasonable $^{18}F$-FDG Injected Dose for Maintaining the Image Quality in 3D WB PET/CT)

  • 문아름;이혁;곽인석;최성욱;석재동
    • 핵의학기술
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    • 제15권2호
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    • pp.36-40
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    • 2011
  • PET/CT 검사에서 환자에게 주입되는 $^{18}F$-FDG 투여량은 장비업체에서 제시하는 권고치와 각 병원에서 적용하는 기준치가 서로 다르다. 기준치의 차이로 인한 부적절한 $^{18}F$-FDG 투여량은 환자의 피폭선량을 증가시키고 영상의 질을 감소시킬 수 있다. 본 실험에서는 PET/CT 검사에서 영상의 질을 유지하면서 환자의 피폭선량을 감소시킬 수 있는 적정한 $^{18}F$-FDG 투여량에 대한 평가를 하고자 한다. 모형 실험은 NEMA NU2-1994를 이용하여 열소와 배후 방사능비를 4:1로 유지한 상태에서 열소의 방사능 농도를 1, 3, 5, 7, 9 MBq/kg으로 증가시키며 $^{18}F$-FDG를 주입하였다. CT를 이용한 투과촬영 후 2분 30초/bed의 방출영상을 3차원 (3D) 모드로 획득하였다. 열소와 배후방사능 부위에 각각 관심영역을 설정하고 최대 표준섭취계수(Standard Uptake Value maximum, $SUV_{max}$)를 얻은 후 해당 위치에서의 신호대 잡음비(Signal to Noise Ratio, SNR)를 비교 분석하였다. 임상실험은 2009년 11월부터 2010년 8월까지 내원한 환자를 대상으로 PET/CT 검사를 시행한 환자영상에서 간병변이 없는 97명의 환자를 선별하여 간(liver)과 대퇴부(thigh) 영역에 관심영역을 설정하고 $SUV_{max}$를 측정하여 투여량에 따른 영상의 차이를 비교 분석하였다. 모형 실험에서 단위 질량 당 주입된 방사능 농도는 1, 3, 5, 7, 9 MBq/kg으로 $SUV_{max}$는 23.1, 24.1, 24.3, 22.8, 23.6, SNR은 0.48, 0.54, 0.56, 0.55, 0.55로 나타났다. 5 MBq/kg 이하의 방사능 농도에서는 투여량의 증가에 따라 $SUV_{max}$와 SNR이 증가하지만 7 MBq/kg 이상에서는 감소하였다. 임상 실험의 경우는 단위 질량 당 주입된 방사능 농도가 4.72, 5.34, 6.16, 7.41, 8.68 MBq/kg으로 증가할수록 $SUV_{max}$는 2.68, 2.67, 2.26, 1.88, 1.95, SNR이 0.52, 0.53, 0.46, 0.46, 0.44로 5 MBq/kg의 투여량을 초과할 경우 모형 실험에서와 같은 감소양상을 보였다. 환자의 체중을 고려한 $^{18}F$-FDG 투여량의 증가는 일정 범위 내에서 영상의 질을 향상시키지만 그 범위를 초과할 경우 우발동시계수 및 산란계수의 증가로 인하여 오히려 영상의 질이 저하된다. 실험 결과로부터 3D PET/CT 검사 시 단위질량 당 주입된 방사능 농도 5 MBq/kg이 최적의 주입선량이라는 것을 알 수 있다.

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한국성우(韓國成牛)의 혈액학치(血液學値) 및 혈액화학치(血液化學値)에 관한 연구(硏究) 제1보(第一報) 한국성우(韓國成牛)의 혈액학치(血液學値)에 관한 연구(硏究) (Studies on the Hematology and Blood Chemistry of Korean Cattle Part I. Studies on the Hematology of Korean Cattle)

  • 정창국
    • 대한수의학회지
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    • 제5권1호
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    • pp.61-96
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    • 1965
  • Observations were made on the blood picture of total 196 heads of healthy Korean cattles, including 98 males and 98 females in the purpose of determination of hematological values and its sex difference, and seasonal variations during one year period from December 1963 to November 1964. The blood sampling were scheduled by random in four different seasons and the sample size of both sex included in each season were designated to be same size. The ranges, averages or mean values of the erythrocytes, hemoglobin, hematocrit, mean corpuscular hemoglobin concentration, total white blood cell count and differential count were determined in this studies and their respective standard deviation, standard error of means, sex defferences and seasonal variations were as follows; 1. The erythrocyte count of male showed a range of $5.0{\times}10^6/c.mm$ to $8.75{\times}10^6/c.mm$ with a mean of $6.5{\pm}0.096{\times}10^6/c.mm$. Female showed a range of $5.0{\times}10^6/c.mm$ to $8.30{\times}10^6/c.mm$, with a mean of 6. $131{\pm}0.078{\times}10^6/c.mm$. There was a highly significant sex difference and seasomal variation was not found to be significant. 2. The hemoglobin value of male showed a range of 9.0g/100cc. to 14.5g/100cc. with a mean of $11.074{\pm}0.143g/100cc$. Female showed a range of 9.0g/100cc to 13.0g/100cc. with a mean of $10.745{\pm}0.034g/100cc$. There was a highly significant sex difference and seasonal variation was not found to be significant. 3. The hematocrit value of male showed a range of 28% to 45% and with a mean of $34.867{\pm}0.468%$. Female showed a range of 28% to 42% with a mean of $32.888{\pm}0.322%$. There was a highly significant sex difference and seasonal variation was not found to be significant. 4. The mean corpuscular hemoglobin of male showed a range of 14.4rr. to 19.6rr. with a mean of $17.1{\pm}0.112rr$. Female showed a range of 14.7rr. to 19.5rr. with a mean of $17.6{\pm}0.113rr$. 5. The mean corpusular volume of male showed a range of $42.5{\mu}^3$ to $62.2{\mu}^3$ with a mean of $53.9{\pm}0.419{\mu}^3$, Female showed a range of $44.2{\mu}^3$ to $60.0{\mu}^3$ with a mean of $53.8{\pm}0.375{\mu}^3$. 6. The mean corpuscular hemoglobin concentration of male showed a range of 28.1 % to 34.9% with a mean of $31.4{\pm}0.161%$. Female showed a range of 28.0% to 34.9% with a mean of $30.9{\pm}0.169%$. 7. The total leucocyte count of male showed a range of 4,000/c.mm to 13,100/c.mm. with a mean of $9,338{\pm}218.23/c.mm$. Female showed a range of 4,000/c.mm. to 14,000/c.mm. with a mean of $9,338{\pm}235.90/c.mm$. Six difference was not found to be significant and there was a highly significant seasonal variation. 8. The differential count of male, the means of neutrophil, stab, segmented cell, Iymphocyte, monocyte, eosinophil and basophil were $31.173{\pm}0.570%$, 0.3%. $30.867{\pm}0.564%$, $55.112{\pm}0.603%$, $3.745{\pm}0.082%$, $9.867{\pm}0.422%$ and 0.14% rspectively. Female showed means of $31.010{\pm}0.572%$, 0.2%, $30.806{\pm}0.569%$, $53.929{\pm}0.634%$, $4.082{\pm}0.109%$, $10.908{\pm}0.503%$ and 0.12% respectively. There were significant sex differences in monocyte and highly significant sex difference in eosinophil, and seasonal variation were found to be highly significant in neutrophil, monocyte and eosinophil. 9. Hematological comparison made between cattles infested with so called "small type piroplasma" and non-infested group. The result of investigation showed no significant difference upon the red blood cell, hemoglobin and hematocrit values between lighty infested group and non-infested group. 10. Age distribution of test group in this study ranged from 2 years to 6 years in both sex and their average age were $4.45{\pm}0.114$(male) and $4.50{\pm}0.116$(female). There found to be no significant sex difference and seasonal variations in the age of test group.

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CBMP (Couch Based Computer-Controlled Motion Phantom)와 초음파센서에 기반한 실시간 체표면 추적 시스템 개발: 타당성 연구 (Real-time Body Surface Motion Tracking using the Couch Based Computer-controlled Motion Phantom (CBMP) and Ultrasonic Sensor: A Feasibility Study)

  • 이석;양대식;박영제;신동호;허현도;이상훈;조삼주;임상욱;장지선;조광환;신헌주;김철용
    • 한국의학물리학회지:의학물리
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    • 제18권1호
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    • pp.27-34
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    • 2007
  • 호흡운동 조절 방사선치료 시 환자체표면 움직임을 추적하여 실시간 보정하고자 한다. 본 연구에서 사용한 시스템은 치료테이블에 기반을 둔 동 팬텀(CBMP, couch based computer-controlled motion phantom), 초음파 센서 및 제어, 구동, 분석 프로그램 등으로 구성하였다 동물실험 결과 호흡주기는 2.9초이었고, 호흡진폭은 6mm이었다. 실시간 체표면 추적시스템의 유용성 평가에 중요한 항목인 호흡운동 획득-보정간의 지연시간은 $2.34{\times}10^{-4}sec$ 초이어서 호흡운동 조절 방사선치료 시 사용할 수 있는 새로운 실시간 체표면 추적 기술의 임상적용에의 가능성을 확인할 수 있었다.

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