• 제목/요약/키워드: S-curve

검색결과 4,463건 처리시간 0.032초

연속흐름주입-수소화물생성-유도결합플라스마 질량분석장치를 이용한 바닷물표준시료중의 극미량 비소분석방법의 확립 (Determination of trace arsenic in seawater by flow injection-hydride generation inductively coupled plasma mass spectrometry)

  • 서정기
    • 분석과학
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    • 제21권4호
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    • pp.316-325
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    • 2008
  • 연속흐름주입-수소화물생성-유도결합플라스마질량분석장치를 사용하여 바닷물시료중의 비소를 분석하였다. 두 종류의 바닷물표준시료인 CASS-4, NASS-5를 사용하여 측정값과 인증값을 비교함으로써 본 분석법의 정확성을 확인하였다. 분석결과 CASS-4의 경우 $1.17{\pm}0.07{\mu}g/L$ (인증값 $1.11{\pm}0.16{\mu}g/L$), NASS-5의 경우 $1.24{\pm}0.08{\mu}g/L$ (인증값 $1.27{\pm}0.12{\mu}g/L$)의 값을 얻었다. 이는 각각 독립적으로 5회 측정된 결과의 확장불확도로 표시된 결과이며 CASS-4의 경우 6.2%, NASS-5의 경우 6.8%이었으며 모두 인증값의 불확도 범위안에 있었다. 검량선의 기울기와 바탕값의 표준편차로부터 구한 $As^+$ (m/z=74.9216)의 검출한계는 0.01 ug/kg이었다. 검량선의 직선성은 매우 양호하였다. ($R^2=1$). DRC gas로 산소기체를 사용하여 $AsO^+$ (m/z=90.9165)로 검출하는 방법을 사용하여 결과를 비교하였으며 분석감도는 약 25배 정도 감소하였으나, 검량선의 직선성이 매우 잘 나타났으며, 분석결과도 $As^+$(m/z=74.9216)로 검출할 때와 동일한 결과를 얻을 수 있었다.

모노리틱 칼럼을 이용한 혈장 중 펜시를로버의 HPLC 신속분석법 개발 및 이를 이용한 생물학적동등성시험 (Development of a rapid HPLC method for the determination of penciclovir in human plasma using a monolithic column and its application to a bioequivalence study)

  • 김진희;박아연;정은하;이철우;이태호;염정록
    • 분석과학
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    • 제20권4호
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    • pp.323-330
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    • 2007
  • 본 연구에서는 건강한 성인 혈장 중의 펜시클로버를 모노리틱(monolithic) 칼럼을 이용한 고성능 액체크로마토그래피(HPLC)-형광검출법으로 신속하게 분석하는 방법을 개발하였다. 충전형 ODS 칼럼보다 빠른 유속에서 고분리능을 구현할 수 있는 모노리틱 칼럼을 사용하였고, 이동상에 이온쌍 시약(ionpairing reagent)인 sodium dodecyl sulfate와 잔존 실라놀기(residual silanol group)를 차폐하는 triethylamine을 첨가하여, 용매 조성과 유량에 대한 기울기 용리(gradient elution)를 실시하였다. 그 결과, 펜시클로버와 내부표준물질로 사용한 간시클로버의 머무름시간을 4분 이내로 단축시킬 수 있었다. 확립된 방법으로 분석법 검증을 실시한 결과, $0.1{\sim}5{\mu}g/mL$의 농도 범위 내에서 검량선의 상관계수가 0.9994로 양호한 직선성을 나타내었다. 또한 하루에 5번 반복 실험하여 구한 일내 정밀성과 정확성은 1.36~8.55%, 92.8~100.0%이었고, 5일간 반복 실험하여 구한 일간 정밀성은 0.93~5.62%이었으며, 정량한계는 $0.1{\mu}g/mL$이었다. 건강한 성인 24명을 대상으로한 팜시클로버 제제의 생물학적동등성시험에 본 분석법을 적용하였으며, 생물학적동등성시험 판단기준에 따라 시험약이 대조약에 대하여 동등한 것으로 판명되었다.

Applying the Multiple Cue Probability Learning to Consumer Learning

  • Ahn, Sowon;Kim, Juyoung;Ha, Young-Won
    • Asia Marketing Journal
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    • 제15권3호
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    • pp.159-172
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    • 2013
  • In the present study, we apply the multiple cue probability learning (MCPL) paradigm to examine consumer learning from feedback in repeated trials. This paradigm is useful in investigating consumer learning, especially learning the relationships between the overall quality and attributes. With this paradigm, we can analyze what people learn from repeated trials by using the lens model, i.e., whether it is knowledge or consistency. In addition to introducing this paradigm, we aim to demonstrate that knowledge people gain from repeated trials with feedback is robust enough to weaken one of the most often examined contextual effects, the asymmetric dominance effect. The experiment consists of learning session and a choice task and stimuli are sport rafting boats with motor engines. During the learning session, the participants are shown an option with three attributes and are asked to evaluate its overall quality and type in a number between 0 and 100. Then an expert's evaluation, a number between 0 and 100, is provided as feedback. This trial is repeated fifteen times with different sets of attributes, which comprises one learning session. Depending on the conditions, the participants do one (low) or three (high) learning sessions or do not go through any learning session (no learning). After learning session, the participants then are provided with either a core or an extended choice set to make a choice to examine if learning from feedback would weaken the asymmetric dominance effect. The experiment uses a between-subjects experimental design (2 × 3; core set vs. extended set; no vs. low vs. high learning). The results show that the participants evaluate the overall qualities more accurately with learning. They learn the true trade-off rule between attributes (increase in knowledge) and become more consistent in their evaluations. Regarding the choice task, there is a significant decrease in the percentage of choosing the target option in the extended sets with learning, which clearly demonstrates that learning decreases the magnitude of the asymmetric dominance effect. However, these results are significant only when no learning condition is compared either to low or high learning condition. There is no significant result between low and high learning conditions, which may be due to fatigue or reflect the characteristics of learning curve. The present study introduces the MCPL paradigm in examining consumer learning and demonstrates that learning from feedback increases both knowledge and consistency and weakens the asymmetric dominance effect. The latter result may suggest that the previous demonstrations of the asymmetric dominance effect are somewhat exaggerated. In a single choice setting, people do not have enough information or experience about the stimuli, which may lead them to depend mostly on the contextual structure among options. In the future, more realistic stimuli and real experts' judgments can be used to increase the external validity of study results. In addition, consumers often learn through repeated choices in real consumer settings. Therefore, what consumers learn from feedback in repeated choices would be an interesting topic to investigate.

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스마트미터와 데이터 집중 장치간 인증 및 암호화 통신을 위한 Cortex M3 기반 경량 보안 프로토콜 (Cortex M3 Based Lightweight Security Protocol for Authentication and Encrypt Communication between Smart Meters and Data Concentrate Unit)

  • 신동명;고상준
    • 한국소프트웨어감정평가학회 논문지
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    • 제15권2호
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    • pp.111-119
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    • 2019
  • 존 스마트그리드 기기 인증 체계는 DCU와 검침 FEP 및 MDMS에 집중되어 있으며 스마트미터에 대한 인증체계는 확립되지 않은 상황이다. 현재 몇몇 암호칩이 개발되었지만, 낮은 강도의 단순 암호화 수준에 머물러 있어 PKI 인증체계를 완성하기에는 어려움이 있다. 스마트그리드는 기존 전력망과 달리 개방형 양방향 통신을 기반으로 함에 따라 정보보안 취약성이 높아지면서 사고 위험 증가하고 있다. 하지만 스마트미터에는 PKI가 적용되기 어려워, 조작한 패킷을 보내 운영시스템에 거짓 정보 전송으로 시스템 정지 등의 사고가 발생할 가능성 존재한다. 하드웨어 제약사항이 많은 스마트미터에 기존 PKI 인증서를 발급할 경우 인증 및 인증서 갱신이 어렵기 때문에 스마트미터의 열악한 성능(Non-IP 네트워크, 프로세서, 메모리 및 저장소 공간 등)에서도 작동 가능한 초경량 암호 인증 프로토콜을 설계 구현하였다. 실험 결과 Cortex-M3 환경에서도 경량 암호 인증 프로토콜을 빠른 시간 내에 수행 할 수 있었으며, 앞으로 스마트그리드 산업에서의 더 안전한 보안성을 갖춘 인증 시스템을 마련하는데 도움을 줄 수 있을 것으로 기대한다.

홍수조절 생태계 계정 도입을 위한 전국 단위 시범 평가 (Pilot Evaluation for the Introduction of Ecosystem Accounting for Flood Control)

  • 이태호;문희진;천금성;김정인
    • 환경영향평가
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    • 제32권6호
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    • pp.488-502
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    • 2023
  • 생태계서비스 계정은 생태계 공급 기능과 수요, 그리고 그 사이에서 발생하는 실제 서비스 흐름을 측정해야 한다. 흐름을 측정하기 위해서는 공급과 수요 관계를 정의해야 하며, 복잡한 연결 관계를 객관화 할 수 있는 방법론이 필요하다. 국내에서는 생태계서비스에 대한 연구가 다양하게 진행되어 왔으나, 생태계서비스 계정화에 관한 연구는 부족하다. 본 연구의 목적은 환경경제통합계정(SEEA)의 실험적 생태계계정(EEA)에서 연구된 EU 방법론을 적용하여 홍수조절 생태계서비스를 평가하고 이를 토대로 생태계 계정 도입 방안을 모색하는데 있다. 연구수행을 위해 생태계의 유출량 보유 잠재력, 홍수조절에 대한 사회·경제적 수요, 그리고 그 사이의 관계로부터 형성되는 실제 서비스 혜택 흐름을 공간 기반으로 모델링하고 정량화하였다. 홍수조절 생태계서비스 실제 흐름을 산정한 결과, 국내 전체 서비스량은 165,595ha로 산출되었으며 많은 부분이 농경지에 집중되고 있음을 확인할 수 있었다. 향후 국내 홍수조절 서비스 계정 정밀화 도입을 위해서는 토지피복도와 같은 핵심 공간자료가 지속해서 구축 관리되어야 하며, 국가, 지역, 유역 등 다양한 공간 범위에서 적용 가능한 입력자료 및 방법론에 대한 연구가 필요할 것으로 보인다.

머신러닝 기반 대학생 중도 탈락 예측 모델의 성능 비교 (Performance Comparison of Machine Learning based Prediction Models for University Students Dropout)

  • 정석봉;김두연
    • 한국시뮬레이션학회논문지
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    • 제32권4호
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    • pp.19-26
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    • 2023
  • 전국 대학생의 중도 탈락 비율의 증가는 학생 개인 뿐만 아니라 대학과 사회에 심각한 부정적 영향을 끼친다. 본 연구에서는 중도 탈락이 예상되는 학생을 사전에 식별하기 위하여, 각 대학의 학사관리 시스템에서 손쉽게 얻을 수 있는 학적 데이터를 기반으로 머신러닝 분야의 결정트리, 랜덤 포레스트, 로지스틱 회귀 및 딥러닝 기반의 중도 탈락 예측 모델을 구축하고, 그 성능을 비교·분석하였다. 분석 결과 로지스틱 회귀 기반 예측 모델의 재현율이 가장 높았으나 f-1 및 auc 값이 낮은 한계를 보였고, 랜덤 포레스트 기반의 예측 모델의 경우 재현율을 제외한 다른 모든 지표에서 가장 우수한 성능을 보였다. 또한 예측 기간에 따른 예측 모델의 성능을 확인하기 위하여 예측 기간을 단기(1개 학기 이내), 중기(2개 학기 이내) 및 장기(3개 학기 이내)로 나누어 분석해 본 결과, 장기 예측 시 가장 높은 예측력을 보였다. 본 연구를 통해 각 대학은 중도 탈락이 예상되는 학생들을 조기에 식별하고, 이들에 대한 집중 관리를 통해 중도 탈락 비율을 줄이며 나아가 대학 재정 안정화에 기여할 수 있을 것으로 기대된다.

Psychoeducational Profile-Revised, Korean Wechsler Preschool and Primary Scale of Intelligence, Fourth Edition, and the Vineland Adaptive Behavior Scale, Second Edition: Comparison of Utility for Developmental Disabilities in Preschool Children

  • Sumi Ryu;Taeyeop Lee;Yunshin Lim;Haejin Kim;Go-eun Yu;Seonok Kim;Hyo-Won Kim
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제34권4호
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    • pp.258-267
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    • 2023
  • Objectives: This study aimed to compare the utility of the Psychoeducational Profile-Revised (PEP-R), Korean Wechsler Preschool and Primary Scale of Intelligence, Fourth Edition (K-WPPSI-IV), and Vineland Adaptive Behavior Scale, Second Edition (VABS-II) for evaluating developmental disabilities (DD) in preschool children. Additionally, we examined the correlations between the PEP-R, K-WPPSI-IV, and VABS-II. Methods: A total of 164 children aged 37-84 months were assessed. Children's development was evaluated using the PEP-R, K-WPPSI-IV, VABS-II, Preschool Receptive-Expressive Language Scale, and Korean Childhood Autism Rating Scale, Second Edition. Results: Of the 164 children, 103 had typical development (TD) and 61 had DD. The mean of the PEP-R Developmental Quotient (DQ), K-WPPSI-IV Full-Scale Intelligence Quotient (FSIQ), and VABS-II Adaptive Behavior Composite (ABC) scores were significantly higher in the TD group than in the DD group (p<0.001). The estimated area under the curve of the PEP-R DQ, K-WPPSI-IV FSIQ, and VABS-II ABC scores was 0.953 (95% confidence interval [CI]=0.915-0.992), 0.955 (95% CI=0.914-0.996), and 0.961 (95% CI=0.932-0.991), respectively, which did not indicate a statistically significant difference. The PEP-R DQ scores were positively correlated with the K-WPPSI-IV FSIQ (r=0.90, p<0.001) and VABS-II ABC scores (r=0.84, p<0.001). A strong correlation was observed between the K-WPPSI-IV FSIQ and VABS-II ABC scores (r=0.89, p<0.001). Conclusion: This study found that the PEP-R, K-WPPSI-IV, and VABS-II effectively distinguished DD from TD in preschool children, and no significant differences in utility were observed between them.

Mechanical behavior of 316L austenitic stainless steel bolts after fire

  • Zhengyi Kong;Bo Yang;Cuiqiang Shi;Xinjie Huang;George Vasdravellis;Quang-Viet Vu;Seung-Eock Kim
    • Steel and Composite Structures
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    • 제50권3호
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    • pp.281-298
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    • 2024
  • Stainless steel bolts (SSB) are increasingly utilized in bolted steel connections due to their good mechanical performance and excellent corrosion resistance. Fire accidents, which commonly occur in engineering scenarios, pose a significant threat to the safety of steel frames. The post-fire behavior of SSB has a significant influence on the structural integrity of steel frames, and neglecting the effect of temperature can lead to serious accidents in engineering. Therefore, it is important to evaluate the performance of SSB at elevated temperatures and their residual strength after a fire incident. To investigate the mechanical behavior of SSB after fire, 114 bolts with grades A4-70 and A4-80, manufactured from 316L austenitic stainless steel, were subjected to elevated temperatures ranging from 20℃ to 1200℃. Two different cooling methods commonly employed in engineering, namely cooling at ambient temperatures (air cooling) and cooling in water (water cooling), were used to cool the bolts. Tensile tests were performed to examine the influence of elevated temperatures and cooling methods on the mechanical behavior of SSB. The results indicate that the temperature does not significantly affect the Young's modulus and the ultimate strength of SSB. Up to 500℃, the yield strength increases with temperature, but this trend reverses when the temperature exceeds 500℃. In contrast, the ultimate strain shows the opposite trend. The strain hardening exponent is not significantly influenced by the temperature until it reaches 500℃. The cooling methods employed have an insignificant impact on the performance of SSB. When compared to high-strength bolts, 316L austenitic SSB demonstrate superior fire resistance. Design models for the post-fire mechanical behavior of 316L austenitic SSB, encompassing parameters such as the elasticity modulus, yield strength, ultimate strength, ultimate strain, and strain hardening exponent, are proposed, and a more precise stress-strain model is recommended to predict the mechanical behavior of 316L austenitic SSB after a fire incident.

Relationship between 18F-FDG PET/CT Semi-Quantitative Parameters and International Association for the Study of Lung Cancer, American Thoracic Society/European Respiratory Society Classification in Lung Adenocarcinomas

  • Lihong Bu;NingTu;Ke Wang;Ying Zhou;Xinli Xie;Xingmin Han;Huiqin Lin;Hongyan Feng
    • Korean Journal of Radiology
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    • 제23권1호
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    • pp.112-123
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    • 2022
  • Objective: To investigate the relationship between 18F-FDG PET/CT semi-quantitative parameters and the International Association for the Study of Lung Cancer, American Thoracic Society/European Respiratory Society (IASLC/ATS/ERS) histopathologic classification, including histological subtypes, proliferation activity, and somatic mutations. Materials and Methods: This retrospective study included 419 patients (150 males, 269 females; median age, 59.0 years; age range, 23.0-84.0 years) who had undergone surgical removal of stage IA-IIIA lung adenocarcinoma and had preoperative PET/CT data of lung tumors. The maximum standardized uptake values (SUVmax), background-subtracted volume (BSV), and background-subtracted lesion activity (BSL) derived from PET/CT were measured. The IASLC/ATS/ERS subtypes, Ki67 score, and epidermal growth factor/anaplastic lymphoma kinase (EGFR/ALK) mutation status were evaluated. The PET/CT semi-quantitative parameters were compared between the tumor subtypes using the Mann-Whitney U test or the Kruskal-Wallis test. The optimum cutoff values of the PET/CT semi-quantitative parameters for distinguishing the IASLC/ATS/ERS subtypes were calculated using receiver operating characteristic curve analysis. The correlation between the PET/CT semi-quantitative parameters and pathological parameters was analyzed using Spearman's correlation. Statistical significance was set at p < 0.05. Results: SUVmax, BSV, and BSL values were significantly higher in invasive adenocarcinoma (IA) than in minimally IA (MIA), and the values were higher in MIA than in adenocarcinoma in situ (AIS) (all p < 0.05). Remarkably, an SUVmax of 0.90 and a BSL of 3.62 were shown to be the optimal cutoff values for differentiating MIA from AIS, manifesting as pure ground-glass nodules with 100% sensitivity and specificity. Metabolic-volumetric parameters (BSV and BSL) were better potential independent factors than metabolic parameters (SUVmax) in differentiating growth patterns. SUVmax and BSL, rather than BSV, were strongly or moderately correlated with Ki67 in most subtypes, except for the micropapillary and solid predominant groups. PET/CT parameters were not correlated with EGFR/ALK mutation status. Conclusion: As noninvasive surrogates, preoperative PET/CT semi-quantitative parameters could imply IASLC/ATS/ERS subtypes and Ki67 index and thus may contribute to improved management of precise surgery and postoperative adjuvant therapy.

Development and Validation of 18F-FDG PET/CT-Based Multivariable Clinical Prediction Models for the Identification of Malignancy-Associated Hemophagocytic Lymphohistiocytosis

  • Xu Yang;Xia Lu;Jun Liu;Ying Kan;Wei Wang;Shuxin Zhang;Lei Liu;Jixia Li;Jigang Yang
    • Korean Journal of Radiology
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    • 제23권4호
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    • pp.466-478
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    • 2022
  • Objective: 18F-fluorodeoxyglucose (FDG) PET/CT is often used for detecting malignancy in patients with newly diagnosed hemophagocytic lymphohistiocytosis (HLH), with acceptable sensitivity but relatively low specificity. The aim of this study was to improve the diagnostic ability of 18F-FDG PET/CT in identifying malignancy in patients with HLH by combining 18F-FDG PET/CT and clinical parameters. Materials and Methods: Ninety-seven patients (age ≥ 14 years) with secondary HLH were retrospectively reviewed and divided into the derivation (n = 71) and validation (n = 26) cohorts according to admission time. In the derivation cohort, 22 patients had malignancy-associated HLH (M-HLH) and 49 patients had non-malignancy-associated HLH (NM-HLH). Data on pretreatment 18F-FDG PET/CT and laboratory results were collected. The variables were analyzed using the Mann-Whitney U test or Pearson's chi-square test, and a nomogram for predicting M-HLH was constructed using multivariable binary logistic regression. The predictors were also ranked using decision-tree analysis. The nomogram and decision tree were validated in the validation cohort (10 patients with M-HLH and 16 patients with NM-HLH). Results: The ratio of the maximal standardized uptake value (SUVmax) of the lymph nodes to that of the mediastinum, the ratio of the SUVmax of bone lesions or bone marrow to that of the mediastinum, and age were selected for constructing the model. The nomogram showed good performance in predicting M-HLH in the validation cohort, with an area under the receiver operating characteristic curve of 0.875 (95% confidence interval, 0.686-0.971). At an appropriate cutoff value, the sensitivity and specificity for identifying M-HLH were 90% (9/10) and 68.8% (11/16), respectively. The decision tree integrating the same variables showed 70% (7/10) sensitivity and 93.8% (15/16) specificity for identifying M-HLH. In comparison, visual analysis of 18F-FDG PET/CT images demonstrated 100% (10/10) sensitivity and 12.5% (2/16) specificity. Conclusion: 18F-FDG PET/CT may be a practical technique for identifying M-HLH. The model constructed using 18F-FDG PET/CT features and age was able to detect malignancy with better accuracy than visual analysis of 18F-FDG PET/CT images.