• Title/Summary/Keyword: statistical correction

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Usefulness of volumetric BMD measurement by using low dose CT image acquired on L-spine Bone SPECT/CT (L-spine Bone SPECT/CT에서 획득된 저선량 CT 영상을 이용한 용적 골밀도 결과의 유용성)

  • Hyunsoo Ko;Soonki Park;Eunhye Kim;Jongsook Choi;Wooyoung Jung;Dongyun Lee
    • The Korean Journal of Nuclear Medicine Technology
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    • v.27 no.2
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    • pp.99-109
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    • 2023
  • Purpose: CT scan makes up for the weak point of the nuclear medicine image having a low resolution and also were used for attenuation correction on image reconstruction. Recently, many studies try to make use of CT images additionally, one of them is to measure the bone mineral density(BMD) using Quantitative CT(QCT) software. BMD exams are performed to scan lumbar and femur with DXA(Dual-Energy X-Ray Absorptiometry) in order to diagnose bone disease such as osteopenia, osteoporosis. The purpose of this study is to identify the usefulness of QCT_BMD analyzed with low dose CT images on L-spine Bone SPECT/CT comparing with DXA_BMD. Materials and Methods: Fifty five women over 50 years old (mean 66.4 ± 9.1) who took the both examinations(L-spine Bone SPECT/CT with SIEMENS Intevo 16 and DXA scan with GE Lunar prodigy advance) within 90 days from April 2017 to July 2022, BMD, T-score and disease classification were analyzed. Three-dimensional BMD was analyzed with low dose CT images acquired on L-spine Bone SPECT/CT scan on Mindways QCT PROTM software and two-dimensional BMD was analyzed on DXA scan. Basically, Lumbar 1-4 were analyzed and the patients who has lesion or spine implants on L-spine were excluded for this study. Pearson's correlation analysis was performed in BMD and T-score, chi-square test was performed in disease classification between QCT and DXA. Results: On 55 patients, the minimum of QCT_BMD was 18.10, maximum was 166.50, average was 82.71 ± 31.5 mg/cm3. And the minimum of DXA-BMD was 0.540, maximum was 1.302, average was 0.902 ± 0.201 g/cm2, respectively. The result shows a strong statistical correlation between QCT_BMD and DXA_BMD(p<0.001, r=0.76). The minimum of QCT_T-score was -5.7, maximum was -0.1, average was -3.2 ± 1.3 and the minimum of DXA_T-score was -5.0, maximum was 1.7, average was -2.0 ± 1.3, respectively. The result shows a statistical correlation between QCT T-score and DXA T-score (p<0.001, r=0.66). On the disease classification, normal was 5, osteopenia was 25, osteoporosis was 25 in QCT and normal was 10, osteopenia was 25, osteoporosis was 20 in DXA. There was under-estimation of bone decrease relatively on DXA than QCT, but there was no significant differences statistically by chi-square test between QCT and DXA. Conclusion: Through this study, we could identify that the QCT measurement with low dose CT images QCT from L-Spine Bone SPECT/CT was reliable because of a strong statistical correlation between QCT_BMD and DXA_BMD. Bone SPECT/CT scan can provide three-dimensional information also BMD measurement with CT images. In the future, rather than various exams such as CT, BMD, Bone scan are performed, it will be possible to provide multipurpose information via only SPECT/CT scan. In addition, it will be very helpful clinically in the sense that we can provide a diagnosis of potential osteoporosis, especially in middle-aged patients.

Effect on Myopia Progression Wearing Eye-glasses for School Children (학령기 아동의 안경착용이 근시진행에 미치는 영향)

  • Lee, Seok-Ju;Park, Seong-Jong;Chun, Young-Yun
    • Journal of Korean Ophthalmic Optics Society
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    • v.16 no.2
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    • pp.195-200
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    • 2011
  • Purpose: We analyzed the influence of myopic's eye-glasses wearing on myopia progress after cycloplegic refraction. Methods: The 33 people (66 eyes) were school children from 8 years to 12 years having no experience eye-glasses wearing, they were taken cycloplegic refraction at the 100th, the 200th and 300th days in order to evaluate myopia progression. We investigated the eye-glasses wearing group (experimental group, 32 eyes) and the non-eye-glasses wearing group (control group, 34 eyes). The eye-glasses power of the experimental group were -0.50 D, -0.75 D, -1.00 D, -1.25 D and -1.50 D. We compared experimental group with control group for myopia progress according to period, age, and refraction error and investigated the myopia progress according to the eye-glasses power of experimental group. Results: At the 300th day from the first cycloplegic refaction, spherical equivalent for the experimental group increased as -1.03${\pm}$0.43 D (t=13.36, p<0.001) and for the control group increase as -0.61${\pm}$0.35 D (t=10.05, p<0.001) and two groups were statistical difference. Myopia power for experimental group increased 60.75%, for control group increased 56.66% at the 300 days. According to eye-glasses power increased 41.19${\pm}$15.25% at -1.50 D, 36.74${\pm}$19.29% at -1.25 D, 56.57${\pm}$20.21% at -1.00 D, 87.26${\pm}$49.38% at -0.75 D and 106.69${\pm}$59.60% at -0.50 D. Conclusions: The myopia power for the eye-glasses wearing group was 0.46 D faster than the non-eye-glasses wearing group at the 300th day from the first cycloplegic refraction. We will consider the effect of non-eye-glasses wearing to protect the progressing myopia and prescribe the under correction for school children having no experience eye-glasses wearing.

Effect of internal gap on retentivity in implant fixed prosthesis with lingual slot (설측 슬롯을 부여한 임플란트 고정성 보철물에서 내면 간격이 유지력에 미치는 영향)

  • Kim, Tae-Kyun;Lee, Kyu-Bok
    • The Journal of Korean Academy of Prosthodontics
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    • v.56 no.3
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    • pp.206-211
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    • 2018
  • Purpose: Recently, a method of forming a slot in the prosthesis lingual has been introduced to solve the occlusal and aesthetic disadvantages of screw-retained prosthesis in the manufacture of implant-fixed prosthesis and to ensure retrievability in cement retained prostheses. The purpose of this study is to investigate the effect of the internal gap on the removal of the prosthesis in the preparation of cement-retained implant prostheses with lingual slots. Materials and methods: Titanium abutment and internal gap of the zirconia prosthesis to be attached to the upper part were set to 30, 35, and $50{\mu}m$, respectively. Three for each type total 15 were produced for each type. The zirconia prosthesis formed a retrievable cement-type slot with a space of 1 mm at the location where the titanium abutment meets the shelf area. Autocatalytic resin cement was used for bonding of abutment and zirconia prosthesis, and the maximum removal stress value was measured in units of Ncm by using the customized equipment of the cemented specimen. The Kruskal-Wallis test was used to compare the three groups by statistical analysis (${\alpha}=.05$), modified by post hoc test the Mann-Whitney U-test and the Bonferroni correction method were used to compare the two methods (${\alpha}=.017$). Results: There was no statistically significant difference in removal stress between the $30{\mu}m$ group and the $35{\mu}m$ group in the internal gap (P = .032), and there was a significant difference between the $30{\mu}m$ group and the $50{\mu}m$ group, between the $35{\mu}m$ group and the $50{\mu}m$ group (P < .017). Conclusion: Thus, the internal gap of computer-aided design affected the retention between the zirconia prosthesis and the titanium abutment.

EEG based Cognitive Load Measurement for e-learning Application (이러닝 적용을 위한 뇌파기반 인지부하 측정)

  • Kim, Jun;Song, Ki-Sang
    • Korean Journal of Cognitive Science
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    • v.20 no.2
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    • pp.125-154
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    • 2009
  • This paper describes the possibility of human physiological data, especially brain-wave activity, to detect cognitive overload, a phenomenon that may occur while learner uses an e-learning system. If it is found that cognitive overload to be detectable, providing appropriate feedback to learners may be possible. To illustrate the possibility, while engaging in cognitive activities, cognitive load levels were measured by EEG (electroencephalogram) to seek detection of cognitive overload. The task given to learner was a computerized listening and recall test designed to measure working memory capacity, and the test had four progressively increasing degrees of difficulty. Eight male, right-handed, university students were asked to answer 4 sets of tests and each test took from 61 seconds to 198 seconds. A correction ratio was then calculated and EEG results analyzed. The correction ratio of listening and recall tests were 84.5%, 90.6%, 62.5% and 56.3% respectively, and the degree of difficulty had statistical significance. The data highlighted learner cognitive overload on test level of 3 and 4, the higher level tests. Second, the SEF-95% value was greater on test3 and 4 than on tests 1 and 2 indicating that tests 3 and 4 imposed greater cognitive load on participants. Third, the relative power of EEG gamma wave rapidly increased on the 3rd and $4^{th}$ test, and signals from channel F3, F4, C4, F7, and F8 showed statistically significance. These five channels are surrounding the brain's Broca area, and from a brain mapping analysis it was found that F8, right-half of the brain area, was activated relative to the degree of difficulty. Lastly, cross relation analysis showed greater increasing in synchronization at test3 and $4^{th}$ at test1 and 2. From these findings, it is possible to measure brain cognitive load level and cognitive over load via brain activity, which may provide atimely feedback scheme for e-learning systems.

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Assessment of Climate Change Impact on Storage Behavior of Chungju and the Regulation Dams Using SWAT Model (SWAT을 이용한 기후변화가 충주댐 및 조정지댐 저수량에 미치는 영향 평가)

  • Jeong, Hyeon Gyo;Kim, Seong-Joon;Ha, Rim
    • Journal of Korea Water Resources Association
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    • v.46 no.12
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    • pp.1235-1247
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    • 2013
  • This study is to evaluate the climate change impact on future storage behavior of Chungju dam($2,750{\times}10^6m^3$) and the regulation dam($30{\times}10^6m^3$) using SWAT(Soil Water Assessment Tool) model. Using 9 years data (2002~2010), the SWAT was calibrated and validated for streamflow at three locations with 0.73 average Nash-Sutcliffe model Efficiency (NSE) and for two reservoir water levels with 0.86 NSE respectively. For future evaluation, the HadCM3 of GCMs (General Circulation Models) data by scenarios of SRES (Special Report on Emission Scenarios) A2 and B1 of the IPCC (Intergovernmental Panel on Climate Change) were adopted. The monthly temperature and precipitation data (2007~2099) were spatially corrected using 30 years (1977~2006, baseline period) of ground measured data through bias-correction, and temporally downscaled by Change Factor (CF) statistical method. For two periods; 2040s (2031~2050), 2080s (2071~2099), the future annual temperature were predicted to change $+0.9^{\circ}C$ in 2040s and $+4.0^{\circ}C$ in 2080s, and annual precipitation increased 9.6% in 2040s and 20.7% in 2080s respectively. The future watershed evapotranspiration increased up to 15.3% and the soil moisture decreased maximum 2.8% compared to baseline (2002~2010) condition. Under the future dam release condition of 9 years average (2002~2010) for each dam, the yearly dam inflow increased maximum 21.1% for most period except autumn. By the decrease of dam inflow in future autumn, the future dam storage could not recover to the full water level at the end of the year by the present dam release pattern. For the future flood and drought years, the temporal variation of dam storage became more unstable as it needs careful downward and upward management of dam storage respectively. Thus it is necessary to adjust the dam release pattern for climate change adaptation.

Bias Correction for GCM Long-term Prediction using Nonstationary Quantile Mapping (비정상성 분위사상법을 이용한 GCM 장기예측 편차보정)

  • Moon, Soojin;Kim, Jungjoong;Kang, Boosik
    • Journal of Korea Water Resources Association
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    • v.46 no.8
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    • pp.833-842
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    • 2013
  • The quantile mapping is utilized to reproduce reliable GCM(Global Climate Model) data by correct systematic biases included in the original data set. This scheme, in general, projects the Cumulative Distribution Function (CDF) of the underlying data set into the target CDF assuming that parameters of target distribution function is stationary. Therefore, the application of stationary quantile mapping for nonstationary long-term time series data of future precipitation scenario computed by GCM can show biased projection. In this research the Nonstationary Quantile Mapping (NSQM) scheme was suggested for bias correction of nonstationary long-term time series data. The proposed scheme uses the statistical parameters with nonstationary long-term trends. The Gamma distribution was assumed for the object and target probability distribution. As the climate change scenario, the 20C3M(baseline scenario) and SRES A2 scenario (projection scenario) of CGCM3.1/T63 model from CCCma (Canadian Centre for Climate modeling and analysis) were utilized. The precipitation data were collected from 10 rain gauge stations in the Han-river basin. In order to consider seasonal characteristics, the study was performed separately for the flood (June~October) and nonflood (November~May) seasons. The periods for baseline and projection scenario were set as 1973~2000 and 2011~2100, respectively. This study evaluated the performance of NSQM by experimenting various ways of setting parameters of target distribution. The projection scenarios were shown for 3 different periods of FF scenario (Foreseeable Future Scenario, 2011~2040 yr), MF scenario (Mid-term Future Scenario, 2041~2070 yr), LF scenario (Long-term Future Scenario, 2071~2100 yr). The trend test for the annual precipitation projection using NSQM shows 330.1 mm (25.2%), 564.5 mm (43.1%), and 634.3 mm (48.5%) increase for FF, MF, and LF scenarios, respectively. The application of stationary scheme shows overestimated projection for FF scenario and underestimated projection for LF scenario. This problem could be improved by applying nonstationary quantile mapping.

Improved Sentence Boundary Detection Method for Web Documents (웹 문서를 위한 개선된 문장경계인식 방법)

  • Lee, Chung-Hee;Jang, Myung-Gil;Seo, Young-Hoon
    • Journal of KIISE:Software and Applications
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    • v.37 no.6
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    • pp.455-463
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    • 2010
  • In this paper, we present an approach to sentence boundary detection for web documents that builds on statistical-based methods and uses rule-based correction. The proposed system uses the classification model learned offline using a training set of human-labeled web documents. The web documents have many word-spacing errors and frequently no punctuation mark that indicates the end of sentence boundary. As sentence boundary candidates, the proposed method considers every Ending Eomis as well as punctuation marks. We optimize engine performance by selecting the best feature, the best training data, and the best classification algorithm. For evaluation, we made two test sets; Set1 consisting of articles and blog documents and Set2 of web community documents. We use F-measure to compare results on a large variety of tasks, Detecting only periods as sentence boundary, our basis engine showed 96.5% in Set1 and 56.7% in Set2. We improved our basis engine by adapting features and the boundary search algorithm. For the final evaluation, we compared our adaptation engine with our basis engine in Set2. As a result, the adaptation engine obtained improvements over the basis engine by 39.6%. We proved the effectiveness of the proposed method in sentence boundary detection.

Clinical Effect of Bong Chuna Manual Therapy and Acupunture Treatment for Improving Cervical Curvature of Turtle Neck Syndrome and Measurement Method of Radiography (거북목증후군의 경추만곡 호전에 대한 봉추나요법과 침술의 효과와 방사선학적 평가방법 연구)

  • Oh, Won-Kyo;Lee, Eugune;Shin, Byung-Cheul
    • Journal of Korean Medicine Rehabilitation
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    • v.19 no.1
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    • pp.113-124
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    • 2009
  • Objectives : The aim of this study was to observe the effect of Bong Chuna manual therapy(BCMT) and acupuncture on the Turtle Neck Syndrome(TNS) by the changes of radiological findings and symptoms. Methods : Total twenty-eight patients diagnosed as TNS were evaluated. Twenty patients in experimental group were treated by the combination of BCMT and acupuncture, eight patients in control group were treated by acupuncture only. We measured VAS(Visual analogue scale) as pain intensity and Neck Pain and Disability Scale(NDI) at pre- and post-treatment. Also the four line Cobb's method and Jochumsen method were assessed for evaluating the radiographical changes, additionally we used 'two line method'. Results : VAS score showed statistically significant reduction in pain intensity in both experimental group and control group after 8 weeks treatment, $-44.05{\pm}14.91$ vs $-23.75{\pm}14.08$ respectively. Also NDI score presented $-11.40{\pm}8.63$ reduction in experimental group, and it was significant statistically, however not in control group, $-8.63{\pm}9.84$ reduction after 8weeks treatment. In radiological findings, the four line Cobb's method, Jochumsen method and two line method were reduced after 8weeks treatment, $-9.30{\pm}10.33$, $-0.65{\pm}1.72$ and $-14.35{\pm}5.68$ in experimental group respectively, $-0.75{\pm}1.91$, $-0.25{\pm}0.71$ and $0.38{\pm}2.20$ in control group respectively. However they were statistical significance only in the four line Cobb's method and two line method in both group. Conclusions : Combination treatment of CMT and acupuncture showed better effect on pain reduction, VAS score and the correction of neck anteversion than acupuncture only in TNS. Two line method seems valuable for evaluating the improvement of radiographical changes in TNS.

Short-term Construction Investment Forecasting Model in Korea (건설투자(建設投資)의 단기예측모형(短期豫測模型) 비교(比較))

  • Kim, Kwan-young;Lee, Chang-soo
    • KDI Journal of Economic Policy
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    • v.14 no.1
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    • pp.121-145
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    • 1992
  • This paper examines characteristics of time series data related to the construction investment(stationarity and time series components such as secular trend, cyclical fluctuation, seasonal variation, and random change) and surveys predictibility, fitness, and explicability of independent variables of various models to build a short-term construction investment forecasting model suitable for current economic circumstances. Unit root test, autocorrelation coefficient and spectral density function analysis show that related time series data do not have unit roots, fluctuate cyclically, and are largely explicated by lagged variables. Moreover it is very important for the short-term construction investment forecasting to grasp time lag relation between construction investment series and leading indicators such as building construction permits and value of construction orders received. In chapter 3, we explicate 7 forecasting models; Univariate time series model (ARIMA and multiplicative linear trend model), multivariate time series model using leading indicators (1st order autoregressive model, vector autoregressive model and error correction model) and multivariate time series model using National Accounts data (simple reduced form model disconnected from simultaneous macroeconomic model and VAR model). These models are examined by 4 statistical tools that are average absolute error, root mean square error, adjusted coefficient of determination, and Durbin-Watson statistic. This analysis proves two facts. First, multivariate models are more suitable than univariate models in the point that forecasting error of multivariate models tend to decrease in contrast to the case of latter. Second, VAR model is superior than any other multivariate models; average absolute prediction error and root mean square error of VAR model are quitely low and adjusted coefficient of determination is higher. This conclusion is reasonable when we consider current construction investment has sustained overheating growth more than secular trend.

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A Study Model Analysis of Complete Unilateral Cleft Lip & Palate Patients (편측성 완전 구순 구개열 환자의 구개열 형태 및 치궁의 분석)

  • Leem Dae-Ho;Kim Seung-Young;Shin Hyo-Keun
    • Korean Journal of Cleft Lip And Palate
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    • v.2 no.1_2
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    • pp.5-14
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    • 1999
  • The aim of treatment of cleft lip and palate is to correct the cleft and associated problems surgically and thus hide the anomaly so that patients can lead normal lives. This correction involves surgically producing a face that does not attract attention, a vocal apparatus that permits intelligible speech, and a dentition that allows optimal function and esthetics. In neonatal periods, gross distortion of tissues surrounding the cleft requires considerable effort and time due to post operative functional defect and scarring and induces milk feeding problem, malocclusion of deciduous or permanent dentition, congenital missing teeth, skeletal dysplasia. The occurrence of a cleft deformity is a source of considerable shock to the parents of an afflicted baby, and the most appropriate approach is very important things. Thus we tried to analysis of dental arch, shape and size of deformity in cleft patients. The results were obtained as follows. 1. When the cast measurements of UCLP subjects at first visit it was found that the mean length was 9.29mm at the alveolar cleft width, also that was 11.7mm at the anterior width and 14mm at the posterior cleft width. 2. Comparison of UCLP group at first visit and just lip surgery, it was found that the older group showed a insignificant reduction in the width of the cleft in the alveolar, canine, and tuberosity regions. 3. The maxillary casts of the UCLP group at 6 months differ Significantly from those of the at 3 months in both length and width. but there was no statistical difference except anterior ridge length of nonclefted site. 4. Comparison at 6 months and 18 months, there was a greater change in length of the alveolar cleft width, intercanine width, and anterior cleft width. Maxillary arch became wider at both the canine region and intertuberosity region. also posterior anteroposterior length was increased but anterior AP length was decreased from 8.1mm to 7.7mm. There was meaningful increase at intertuberosity length; however, a significant reduction in width t-t'

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