• 제목/요약/키워드: Linear prediction analysis

검색결과 861건 처리시간 0.027초

Optimised neural network prediction of interface bond strength for GFRP tendon reinforced cemented soil

  • Zhang, Genbao;Chen, Changfu;Zhang, Yuhao;Zhao, Hongchao;Wang, Yufei;Wang, Xiangyu
    • Geomechanics and Engineering
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    • 제28권6호
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    • pp.599-611
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    • 2022
  • Tendon reinforced cemented soil is applied extensively in foundation stabilisation and improvement, especially in areas with soft clay. To solve the deterioration problem led by steel corrosion, the glass fiber-reinforced polymer (GFRP) tendon is introduced to substitute the traditional steel tendon. The interface bond strength between the cemented soil matrix and GFRP tendon demonstrates the outstanding mechanical property of this composite. However, the lack of research between the influence factors and bond strength hinders the application. To evaluate these factors, back propagation neural network (BPNN) is applied to predict the relationship between them and bond strength. Since adjusting BPNN parameters is time-consuming and laborious, the particle swarm optimisation (PSO) algorithm is proposed. This study evaluated the influence of water content, cement content, curing time, and slip distance on the bond performance of GFRP tendon-reinforced cemented soils (GTRCS). The results showed that the ultimate and residual bond strengths were both in positive proportion to cement content and negative to water content. The sample cured for 28 days with 30% water content and 50% cement content had the largest ultimate strength (3879.40 kPa). The PSO-BPNN model was tuned with 3 neurons in the input layer, 10 in the hidden layer, and 1 in the output layer. It showed outstanding performance on a large database comprising 405 testing results. Its higher correlation coefficient (0.908) and lower root-mean-square error (239.11 kPa) were obtained compared to multiple linear regression (MLR) and logistic regression (LR). In addition, a sensitivity analysis was applied to acquire the ranking of the input variables. The results illustrated that the cement content performed the strongest influence on bond strength, followed by the water content and slip displacement.

Genetic evaluation and accuracy analysis of commercial Hanwoo population using genomic data

  • Gwang Hyeon Lee;Yeon Hwa Lee;Hong Sik Kong
    • 한국동물생명공학회지
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    • 제38권1호
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    • pp.32-37
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    • 2023
  • This study has evaluated the genomic estimated breeding value (GEBV) of the commercial Hanwoo population using the genomic best linear unbiased prediction (GBLUP) method and genomic information. Furthermore, it analyzed the accuracy and realized accuracy of the GEBV. 1,740 heads of the Hanwoo population which were analyzed using a single nucleotide polymorphism (SNP) Chip has selected as the test population. For carcass weight (CWT), eye muscle area (EMA), back fat thickness (BFT), and marbling score (MS), the mean GEBVs estimated using the GBLUP method were 3.819, 0.740, -0.248, and 0.041, respectively and the accuracy of each trait was 0.743, 0.728, 0.737, and 0.765, respectively. The accuracy of the breeding value was affected by heritability. The accuracy was estimated to be low in EMA with low heritability and high in MS with high heritability. Realized accuracy values of 0.522, 0.404, 0.444, and 0.539 for CWT, EMA, BFT, and MS, respectively, showing the same pattern as the accuracy value. The results of this study suggest that the breeding value of each individual can be estimated with higher accuracy by estimating the GEBV using the genomic information of 18,499 reference populations. If this method is used and applied to individual selection in a commercial Hanwoo population, more precise and economical individual selection is possible. In addition, continuous verification of the GBLUP model and establishment of a reference population suitable for commercial Hanwoo populations in Korea will enable a more accurate evaluation of individuals.

Pattern of lip retraction according to the presence of lip incompetence in patients with Class II malocclusion

  • Mei Ling Fang;Sung-Hwan Choi;Yoon Jeong Choi;Kee-Joon Lee
    • 대한치과교정학회지
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    • 제53권4호
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    • pp.276-285
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    • 2023
  • Objective: The aim of this retrospective study was to compare changes in hard tissue and soft tissue after the four first premolars were extracted with anterior teeth retraction according to the presence or absence of lip incompetence. Methods: Patients who underwent the four first premolars were extracted with anterior teeth retraction were divided into competent (n = 20) and incompetent lip (n = 20) groups. Cephalometric measurements for hard tissue and soft tissue changes were performed pre-treatment and post-treatment. Results: In the competent group, the upper and lower lips retreated by 2.88 mm and 4.28 mm, respectively, and in the incompetent group by 4.13 mm and 5.57 mm, respectively; the differences between the two groups were significant (p < 0.05). A strong positive correlation between retraction of the upper lip and upper incisors was observed in both groups (p < 0.05), whereas a correlation between retraction of the lower lip and lower incisors was only found in the incompetent group. A simple linear regression analysis showed that the pattern of lip retraction following the retraction of the anterior teeth was more predictable in the incompetent group than in the competent group. Conclusions: These findings suggest that the initial evaluation of lip incompetence in patients with skeletal Class II is essential for the accurate prediction of the soft tissue changes following retraction of the anterior teeth in premolar extraction treatment. Therefore, sufficient explanation should be provided during patient consultations.

치과 임플란트 국민건강보험 급여화 이후 노인의 치과 임플란트 이용에 대한 예측 모형: 사회경제적 요인 중심으로 (Prediction model for dental implants utilization in the elderly after the national health insurance coverage of dental implants: focusing on socioeconomic factors)

  • 이상희;김규석;문혜영;강정윤
    • 한국치위생학회지
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    • 제24권1호
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    • pp.9-16
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    • 2024
  • Objectives: The demand for dental care is expected to increase as the population ages. This study aimed to predict the utilization of dental implant care following the expansion of national health insurance benefits for dental implants. Methods: Multiple linear regression analysis was performed on HIRA big data open portal data and DNN-based artificial intelligence models to forecast the utilization of dental care in relation to the national health insurance coverage for dental implants. Results: National health insurance coverage of dental implants was found to be associated with the number of patients using dental implant services and demonstrated a statistical significance. The dental implant services utilization increased with the increased dental implant health insurance benefits for the elderly population, increased mean by region, increased number of dental institutions by region, and increased health insurance coverage rate for dental implants. However, the dental implant services utilization decreased with the increased number of older people living alone and increased size of dental institutions. Conclusions: With the expansion of the national health insurance coverage for dental implants, it is predicted that the utilization of dental implant medical services will increase in the future.

A comparison of five sets of overlapping and non-overlapping sliding windows for semen production traits in the Thai multibreed dairy population

  • Mattaneeya Sarakul;Mauricio A. Elzo;Skorn Koonawootrittriron;Thanathip Suwanasopee;Danai Jattawa;Thawee Laodim
    • Animal Bioscience
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    • 제37권3호
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    • pp.428-436
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    • 2024
  • Objective: This study compared five distinct sets of biological pathways and associated genes related to semen volume (VOL), number of sperm (NS), and sperm motility (MOT) in the Thai multibreed dairy population. Methods: The phenotypic data included 13,533 VOL records, 12,773 NS records, and 12,660 MOT records from 131 bulls. The genotypic data consisted of 76,519 imputed and actual single nucleotide polymorphisms (SNPs) from 72 animals. The SNP additive genetic variances for VOL, NS, and MOT were estimated for SNP windows of one SNP (SW1), ten SNP (SW10), 30 SNP (SW30), 50 SNP (SW50), and 100 SNP (SW100) using a single-step genomic best linear unbiased prediction approach. The fixed effects in the model were contemporary group, ejaculate order, bull age, ambient temperature, and heterosis. The random effects accounted for animal additive genetic effects, permanent environment effects, and residual. The SNPs explaining at least 0.001% of the additive genetic variance in SW1, 0.01% in SW10, 0.03% in SW30, 0.05% in SW50, and 0.1% in SW100 were selected for gene identification through the NCBI database. The pathway analysis utilized genes associated with the identified SNP windows. Results: Comparison of overlapping and non-overlapping SNP windows revealed notable differences among the identified pathways and genes associated with the studied traits. Overlapping windows consistently yielded a larger number of shared biological pathways and genes than non-overlapping windows. In particular, overlapping SW30 and SW50 identified the largest number of shared pathways and genes in the Thai multibreed dairy population. Conclusion: This study yielded valuable insights into the genetic architecture of VOL, NS, and MOT. It also highlighted the importance of assessing overlapping and non-overlapping SNP windows of various sizes for their effectiveness to identify shared pathways and genes influencing multiple traits.

Preoperative neutrophil-to-lymphocyte ratio is prognostic for early recurrence after curative intrahepatic cholangiocarcinoma resection

  • Woo Jin Choi;Fiorella Murillo Perez;Annabel Gravely;Tommy Ivanics;Marco P. A. W. Claasen;Liza Abraham;Phillipe Abreu;Robin Visser;Steven Gallinger;Bettina E. Hansen;Gonzalo Sapisochin
    • 한국간담췌외과학회지
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    • 제27권2호
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    • pp.158-165
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    • 2023
  • Backgrounds/Aims: Within two years of surgery, 70% of resected intrahepatic cholangiocarcinoma (iCCA) recur. Better biomarkers are needed to identify those at risk of "early recurrence" (ER). In this study, we defined ER and investigated whether preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic-inflammatory index were prognostic of both overall relapse and ER after curative hepatectomy for iCCA. Methods: A retrospective cohort of patients who underwent curative-intent hepatectomy for iCCA between 2005 and 2017 were created. The cut-off timepoint for the ER of iCCA was estimated using a piecewise linear regression model. Univariable analyses of recurrence were conducted for the overall, early, and late recurrence periods. For the early and late recurrence periods, multivariable Cox regression with time-varying regression coefficient analysis was used. Results: A total of 113 patients were included in this study. ER was defined as recurrence within 12 months of a curative resection. Among the included patients, 38.1% experienced ER. In the univariable model, a higher preoperative NLR (> 4.3) was significantly associated with an increased risk of recurrence overall and in the first 12 months after curative surgery. In the multivariable model, a higher NLR was associated with a higher recurrence rate overall and in the ER period (≤ 12 months), but not in the late recurrence period. Conclusions: Preoperative NLR was prognostic of both overall recurrence and ER after curative iCCA resection. NLR is easily obtained before and after surgery and should be integrated into ER prediction tools to guide preoperative treatments and intensify postoperative follow-up.

도시경관 진단을 위한 평가모델 및 지표개발 연구 - 서울시를 중심으로 - (A Study on the Evaluative Models and Indicators for Diagnosis of Urban Visual Landscape - Focusing on Seoul City -)

  • 김승주;임승빈
    • 한국조경학회지
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    • 제37권1호
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    • pp.78-86
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    • 2009
  • 본 연구는 경관계획 수립에 앞서 해당 도시의 주요 경관자원을 객관적인 기준으로 평가하고, 평가결과를 토대로 도시경관의 수준을 진단하여 향후 수립되는 경관계획의 방향설정에 기여하고자 도시경관 진단을 위한 평가모델 및 평가지표를 도출하고자 하였다. 이를 위해 도시 전체의 경관을 다루고 있는 경관계획 관리 연구사례의 경관구성요소를 비교 분석하여 거시적 경관 구성요소 중 수치화가 가능한 요소를 대상으로 물적지표를 추출하고, 해당 지역에 거주하는 시민을 대상으로 경관미 값을 평가하여 경관미 평균값을 종속변수로, 물적지표를 독립변수로 회귀분석을 통해 통계적으로 유의성이 검증된 회귀모델과 지표를 도출하고자 하였다. 본 연구의 결과는 다음과 같다. 첫째, 도시경관에 영향을 줄 수 있다고 판단되며, 수치화가 가능한 데이터들로서 범용화가 가능한 통계량으로 서울시 통계DB를 참고하여 공원전체면적률, 공원시가지면적률, 1인당 공원면적, 녹지전체면적률, 녹지시가지면적률, 녹지율, 하천전체면적률, 하천시가지면적률, 개발제한구역전체면적률, 개발제한구역시가지면적률, 상업지역전체면적률, 상업지역시가지면적률, 공업지역전체면적률, 공업지역시가지면적률, 공장용지전체면적률, 공장용지시가지면적률, 20층 이상 아파트단지 개소, 광로 연장비율 등 총 18개의 물적지표를 선정하였다. 둘째, 통계분석을 통해 통계적 유의성이 검증된 회귀모델의 공통적인 독립변수로 도출된 녹지전체면적률, 공원전체면적률, 20층 이상 아파트 단지 개소를 도시경관 진단을 위한 최종 평가지표로 선정하였다. 셋째, 녹지전체면적률, 공원전체면적률, 20층 이상 아파트 단지 개소의 표준화계수를 토대로 경관미 값에 녹지전체면적률이 가장 영향을 많이 미치는 것으로 나타났으며, 20층 이상 아파트단지 개소는 경관미 값과 부의 상관관계를 갖는 것으로 나타났다. 이와 같은 결과는 경관계획 관리의 방향을 제시해 주는 기초적인 자료가 될 것으로 판단되며, 향후 물적지표의 추가개발과 대상지 추가조사로 더욱 종합적인 경관미 예측모델과 평가지표 개발이 예상된다.

전산화단층촬영 영상에서 지방간의 감별진단을 위한 컴퓨터보조진단의 응용 (Application of Computer-Aided Diagnosis for the Differential Diagnosis of Fatty Liver in Computed Tomography Image)

  • 박형후;이진수
    • 한국방사선학회논문지
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    • 제10권6호
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    • pp.443-450
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    • 2016
  • 본 연구는 복부 전산화단층촬영 영상을 이용하여 지방간환자의 영상을 질감특징분석과 ROC curve 분석을 하였으며, 컴퓨터보조진단시스템의 구현을 위한 실험적인 선형 연구로서 전산화단층촬영 영상에서 지방간의 객관적이고 신뢰성 있는 진단 정보를 의사에게 제공하고자 하였다. 실험은 정상 및 지방간 복부 전산화단층촬영 영상을 실험영상으로 하여 설정된 구역에 대한 wavelet 변환을 거쳐 질감의 특징값을 나타내는 6가지 파라미터로 통계적 분석 결과를 나타내었다. 그 결과 엔트로피, 평균밝기, 왜곡도는 90% 이상의 비교적 높은 인식률을 보였고, 대조도, 평탄도, 균일도는 약 70% 정도로 비교적 낮은 인식률을 나타내었다. ROC curve를 이용한 분석에서 6가지의 파라미터 모두 0.900(p=0.0001)이상을 나타내어 질환인식에 의미가 있는 결과를 나타내었다. 또한 6가지 파라미터에서 질환 예측을 위한 cut-off 값을 결정하였다. 이러한 결과는 향후 복부 전산화단층촬영 영상에서 질환 자동검출 및 최종진단의 예비 진단 자료로서 적용 가능할 것이다.

차세대 염기서열 분석법을 이용한 우리나라 중부지방과 남부지방의 김치 미생물 군집의 분포 및 다양성 분석 (Analysis of the Distribution and Diversity of the Microbial Community in Kimchi Samples from Central and Southern Regions in Korea Using Next-generation Sequencing)

  • 노윤정;하광수;김진원;이수영;정도연;양희종
    • 생명과학회지
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    • 제33권1호
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    • pp.25-33
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    • 2023
  • 한국 전통 음식으로 알려진 김치의 발효는 다양한 미생물에 의해 일어나며, 주로 Leuconostoc 속, Weissella 속, Lactobacillus 속 유산균들이 관여한다. 또한 김치의 미생물 군집은 김치의 종류, 발효 조건, 재료 및 성분 등에 따라 분포와 차이가 다르게 나타난다. 본 연구는 중부지방(강원도, 경기도)과 남부지방 (전라도, 경상도) 김치에 대한 미생물 군집을 분석하기 위해 16S rRNA 유전자를 증폭하여 차세대 염기서열 분석법을 실시하였다. 모든 시료가 99% 이상의 Good's coverage of library를 보여 비교분석을 하는데 충분한 신뢰성을 얻었으며, α-diversity 분석에서 종 풍부도와 다양성은 시료 간 유의미한 차이가 나타나지 않았다. 중부지방과 남부지방 김치에 공통적으로 분포하고 있는 주요 세균 문은 Frimicutes 이었으며, 속 수준에서 Weissella kandleri 가 각 46.5%(중부지방), 30.8%(남부지방)로 가장 우점하였다. 마지막으로 중부지방과 남부지방의 미생물 군집을 대표하는 바이오마커를 확인하기 위해 LEfSe 분석을 실시한 결과, 중부지방에서 Leuconostocaceae (71.4%) 과, 남부지방에서 Lactobacillaceae (61.0%) 과가 통계적으로 유의미한 빈도 차이를 보였다. 따라서, 본 연구는 중부지방과 남부지방에서 나타나는 김치 미생물 군집의 분포와 차이를 규명하였으며, 이를 바탕으로 지역별 유사점과 차이점에 대한 미생물 군집의 분포를 연구하기 위한 과학적 기초자료를 제공할 것으로 예상된다.

현장 열응답 시험을 통한 지중 열물성 추정 (Prediction of Ground Thermal Properties from Thermal Response Test)

  • 윤석;이승래;김영상;김건영;김경수
    • 한국지반공학회논문집
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    • 제32권7호
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    • pp.5-14
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    • 2016
  • 최근 들어 경제적이고 친환경적인 에너지 활용을 위하여 지열에너지의 필요성이 점차 증대되고 있다. 특히 지열히트펌프 시스템(geothermal heat pump system)으로 불리는 지열 냉난방 시스템의 적용성이 계속 확대되고 있다. 이러한 지열히트펌프 시스템에서 지반의 열전도도와 열확산계수와 같은 지중 열물성은 설계 과정에서 매우 중요한 변수이기에 현장 열응답 시험(thermal response test)을 통해 지반의 열전도도를 산출해야 한다. 본 논문에서는 U와 2U 타입의 지중 열교환기를 매립지 지반에 설치한 후 48시간 동안 현장 열응답 시험을 수행하였으며 지반의 열전도도 뿐만 아니라 지반의 열확산계수를 비선형 회귀분석을 통해 산정할 수 있는 방안을 제시하였다. 또한 지중 열교환기가 설치된 지반의 시료를 채취하여 실내 열물성 실험을 수행하였으며 이를 현장 열응답 시험을 통해 도출된 지반의 열전도도 및 열확산계수 값과 비교하였다.