• Title/Summary/Keyword: 8 ms Criterion

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A Theoretical Study on a Weight per Delay (지발당 장약량에 대한 이론적 연구)

  • Kim, Jong-In;Kang, Choo-Won;Kim, Jea-Wong
    • Explosives and Blasting
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    • v.24 no.2
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    • pp.33-39
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    • 2006
  • The blasting vibration prediction in Korea is mainly carried out by the scaled distance method. The delay interval of the scaled distance method is generally considered to be 8ms, where the effect of vibration between adjacent holes is not included. In this study, the origin and issues of 8ms criterion are reviewed from literatures and Langefors' 2.5T criterion is applied to evaluate the applicabilities of 8ms, 17ms and 25ms intervals in which a vibration does not affect an adjacent hole.

A Study on the Characteristics of Blasting Vibration by Superposition Modeling (중첩 모델링을 통한 발파진동의 특성에 관한 연구)

  • Kang, Choo-Won;Kim, Seung-Hyun;Park, Hyun-Sik
    • Tunnel and Underground Space
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    • v.16 no.4 s.63
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    • pp.326-333
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    • 2006
  • In this study, the vibration waveform of the single hole which is not interfered from the different blasting holes is separated, the each dominant frequency which is determinated through the Fast Fourier Transform(FFT) is measured. Also the separation waveform executed a superposition modeling which changes to delay time from 1ms to 80 ms in 1ms interval and controls the number of blasting holes from 2 holes to 15 holes in order to investigate the effect of PPV according to the duration time of the vibration and the number of blasting holes. As a result of analysis, the longer the duration time of the vibration, the longer the delay time which is not interfered from the different blasting holes and the effect regarding the number of blasting holes from inside identical delay time did not appear a lot.

Development of a UPLC-MS/MS method for the therapeutic monitoring of L-asparaginase

  • Jeong, Hyeon-Cheol;Kim, Therasa;Yang, Deok-Hwan;Shin, Kwang-Hee
    • Translational and Clinical Pharmacology
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    • v.26 no.3
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    • pp.134-140
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    • 2018
  • This study aimed to develop a UPLC-MS/MS method for determining plasma levels of L-aspartic acid and L-asparagine and the activity of L-asparaginase. L-aspartic acid, L-asparagine, and L-aspartic acid-2,3,3-$d_3$ were extracted from human plasma by protein precipitation with sulfosalicylic acid (30%, v/v). The plasma samples were analyzed using an Imtakt Intrada amino acid analysis column with 25 mM ammonium formate and 0.5% formic acid in acetonitrile as the mobile phase with step gradient method at a flow rate of 0.5 mL/min. The injection volume was $5{\mu}L$, and the total run time was 15 min. Inter- and intra-batch accuracies (%) ranged from 96.62-106.0% for L-aspartic acid and 89.85-104.8%, for L-asparagine, and the coefficient of variation (CV%) did not exceed 7%. The validation results for L-aspartic acid and L-asparagine satisfied the specified criterion, however, the results for L-asparaginase activity assay showed a borderline validity. This study could be a foundation for further development of therapeutic drug monitoring systems using UPLC-MS/MS.

Efficient Mean-Shift Tracking Using an Improved Weighted Histogram Scheme

  • Wang, Dejun;Chen, Kai;Sun, Weiping;Yu, Shengsheng;Wang, Hanbing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.6
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    • pp.1964-1981
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    • 2014
  • An improved Mean-Shift (MS) tracker called joint CB-LBWH, which uses a combined weighted-histogram scheme of CBWH (Corrected Background-Weighted Histogram) and LBWH (likelihood-based Background-Weighted Histogram), is presented. Joint CB-LBWH is based on the notion that target representation employs both feature saliency and confidence to form a compound weighted histogram criterion. As the more prominent and confident features mean more significant for tracking the target, the tuned histogram by joint CB-LBWH can reduce the interference of background in target localization effectively. Comparative experimental results show that the proposed joint CB-LBWH scheme can significantly improve the efficiency and robustness of MS tracker when heavy occlusions and complex scenes exist.

Metabolic Syndrome Prediction Using Machine Learning Models with Genetic and Clinical Information from a Nonobese Healthy Population

  • Choe, Eun Kyung;Rhee, Hwanseok;Lee, Seungjae;Shin, Eunsoon;Oh, Seung-Won;Lee, Jong-Eun;Choi, Seung Ho
    • Genomics & Informatics
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    • v.16 no.4
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    • pp.31.1-31.7
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    • 2018
  • The prevalence of metabolic syndrome (MS) in the nonobese population is not low. However, the identification and risk mitigation of MS are not easy in this population. We aimed to develop an MS prediction model using genetic and clinical factors of nonobese Koreans through machine learning methods. A prediction model for MS was designed for a nonobese population using clinical and genetic polymorphism information with five machine learning algorithms, including naïve Bayes classification (NB). The analysis was performed in two stages (training and test sets). Model A was designed with only clinical information (age, sex, body mass index, smoking status, alcohol consumption status, and exercise status), and for model B, genetic information (for 10 polymorphisms) was added to model A. Of the 7,502 nonobese participants, 647 (8.6%) had MS. In the test set analysis, for the maximum sensitivity criterion, NB showed the highest sensitivity: 0.38 for model A and 0.42 for model B. The specificity of NB was 0.79 for model A and 0.80 for model B. In a comparison of the performances of models A and B by NB, model B (area under the receiver operating characteristic curve [AUC] = 0.69, clinical and genetic information input) showed better performance than model A (AUC = 0.65, clinical information only input). We designed a prediction model for MS in a nonobese population using clinical and genetic information. With this model, we might convince nonobese MS individuals to undergo health checks and adopt behaviors associated with a preventive lifestyle.

Anthocyanin Composition and Characteristics of 'Gaeryangmeoru', 'Kyoho', and 'Hongisul' Grape Varieties ('개량머루', '거봉' 및 '홍이슬' 품종의 anthocyanin 조성과 특징)

  • Kwon, YongHee;Park, Hee-Seung
    • Horticultural Science & Technology
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    • v.33 no.4
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    • pp.470-478
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    • 2015
  • This study was investigated the anthocyanin composition of 'Gaeryangmeoru', 'Kyoho', and 'Hongisul' grapes cultivated in Korea using ultra-performance liquid chromatography (UPLC) coupled to a mass spectrometer (MS) equipped with an ESI (electrospray ionization) source. 'Gaeryangmeoru' is a dark-blue grape used for winemaking that can reach its coloring in unfavorable weather. The 'Kyoho' and 'Hongisul' varieties are hybrid grapes that feature black and pink skin, respectively. The anthocyanins extracted from the peels of grapes were analyzed using UPLC-ESI-MS/MS. Twenty-five anthocyanins were identified in the 'Gaeryangmeoru' and 'Kyoho' varieties, and 21 were identified in the 'Hongisul' variety. Eight, 14 and five predominant anthocyanins were identified in 'Gaeryangmeoru', 'Kyoho' and 'Hongisul' grape respectively. In all three varieties, mono-glucosides were 2.3-5.9 times more abundant than di-glucoside. Malvidin was the predominant anthocyanidin in 'Gaeryangmeoru' (44.1%) and 'Kyoho' (56.5%), but cyanidin (96.8%) was in 'Hongisul'. The acylated anthocyanins in 'Gaeryangmeoru' (2.0%) were rare, whereas acylated anthocyanins with p-coumaric acid were predominant in 'Kyoho' (40.9%) and 'Hongisul' (70.7%). In particular, cyanidin feruloyl glucoside was found only in the 'Hongisul' cultivar and considered to be useful as a criterion for identification of the variety. As a result, the grape varieties were demonstrated to have variety-specific anthocyanin characteristics, enabling classification based on anthocyanin composition in terms of anthocyanidins, glucosylation and acylation. The taxonomical application of anthocyanin composition confirmed the possibility that 'Gaeryangmeoru' originated from Vitis amurensis or its hybrids, and the 'Hongisul' grape was distinguished from other grapes by cyanidin feruloyl glucoside.

Stiffness and Elasticity of the Masticatory and Facial Expression Muscles in Patients with the Masticatory Muscle Pain (저작근통 환자에서 저작근 및 안면표정근의 경도와 탄성도 평가)

  • Kim, Yeon-Shin;Kim, Ki-Suk;Kim, Mee-Eun
    • Journal of Oral Medicine and Pain
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    • v.34 no.3
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    • pp.317-324
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    • 2009
  • This study aimed to assess stiffness and elasticity of the masticatory muscle in the patients with the masticatory muscle pain using a tactile sensor and to investigate whether the masticatory muscle pain affects the facial expression muscles. From those who visited Department of Oral Medicine in Dankook University Dental Hospital, 27 patients presenting with unilateral muscle pain and tenderness in the masseter muscle (Ms) were selected (mean age: $36.4{\pm}13.8$ years). Exclusion criterion was those who also had temporomandibular joint (TMJ) disorders or any neurological pain. Muscle stiffness and elasticity for the muscles of mastication and facial expression was investigated with the tactile sensor (Venustron, Axiom Co., JAPAN) and the muscles measured were the Ms, anterior temporal muscle (Ta), frontalis (Fr), inferior orbicularis oculi (Ooci), zygomaticus major (Zm), superior and inferior orbicularis oris (Oors, Oori) and mentalis (Mn). t-tests was used to compare side difference in muscle stiffness and elasticity. Side differences were also compared between diagnostic groups (local muscle soreness (LMS) vs myofascial pain syndrome (MPS) and between acute (< 6M) and chronic ($\geq$ 6M) groups. This study showed that Ms and Zm at affected side exhibited significantly increased stiffness and decreased elasticity as compared to the unaffected side.(p<0.05) There was no significant difference between local muscle soreness and myofascial pain syndrome groups and between acute and chronic groups. The results of this study suggests that masticatory muscle pain in Ms can affect muscle stiffness and elasticity not only for Ms but also for Zm, the facial expression muscle.

Pulsed laser welding of Zr-1%Nb alloy

  • Elkin, Maxim A.;Kiselev, Alexey S.;Slobodyan, Mikhail S.
    • Nuclear Engineering and Technology
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    • v.51 no.3
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    • pp.776-783
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    • 2019
  • Laser welding is usually a more effective method than electron-beam one since a vacuum chamber is not required. It is important for joining Zr-1%Nb (E110) alloy in a manufacturing process of nuclear fuel rods. In the present work, effect of energy parameters of pulsed laser welding on properties of butt joints of sheets with a thickness of 0.5 mm is investigated. The most efficient combination has been found (8-11 J pulse energy, 10-14 ms pulse duration, 780-810 W peak pulse power, 3 Hz pulse frequency, 1.12 mm/s welding speed). The results show that ultimate strength under static loading can not be used as a quality criterion for zirconium alloys welds. Increased shielding gas flow rate does not allow to protect weld metal totally and contributes to defect formation without using special nozzles. Several types of imperfections of the welds have been found, but the major problem is branching microcracks on the surface of the welds. It is difficult to identify the cause of their appearance without additional research on improving the welding zone protection (gas composition and flow rate as well as nozzle configuration) and studying the hydrogen content in the welds.

Pattern Recognition of the Herbal Drug, Magnoliae Flos According to their Essential Oil Components

  • Jeong, Eun-Sook;Choi, Kyu-Yeol;Kim, Sun-Chun;Son, In-Seop;Cho, Hwang-Eui;Ahn, Su-Youn;Woo, Mi-Hee;Hong, Jin-Tae;Moon, Dong-Cheul
    • Bulletin of the Korean Chemical Society
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    • v.30 no.5
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    • pp.1121-1126
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    • 2009
  • This paper describes a pattern recognition method of Magnoliae flos based on a gas chromatographic/mass spectrometric (GC/MS) analysis of the essential oil components. The botanical drug is mainly comprised of the four magnolia species (M. denudata, M. biondii, M. kobus, and M. liliflora) in Korea, although some other species are also being dealt with the drug. The GC/MS separation of the volatile components, which was extracted by the simultaneous distillation and extraction (SDE), was performed on a carbowax column (supelcowax 10; 30 m{\time}0.25 mm{\time}0.25{\mu}m$) using temperature programming. Variance in the retention times for all peaks of interests was within RSD 2% for repeated analyses (n = 9). Of the 74 essential oil components identified from the magnolia species, approximately 10 major components, which is $\alpha$-pinene, $\beta$-pinene, sabinene, myrcene, d-limonene, eucarlyptol (1,8-cineol), $\gamma$-terpinene, p-cymene, linalool, $\alpha$-terpineol, were commonly present in the four species. For statistical analysis, the original dataset was reduced to the 13 variables by Fisher criterion and factor analysis (FA). The essential oil patterns were processed by means of the multivariate statistical analysis including hierarchical cluster analysis (HCA), principal component analysis (PCA) and discriminant analysis (DA). All samples were divided into four groups with three principal components by PCA and according to the plant origins by HCA. Thirty-three samples (23 training sets and 10 test samples to be assessed) were correctly classified into the four groups predicted by PCA. This method would provide a practical strategy for assessing the authenticity or quality of the well-known herbal drug, Magnoliae flos.

Reference Intervals from Hospital-Based Data for Hematologic and Serum Chemistry Values in Dogs (병원자료에 근거한 혈액 및 혈액화학 검사항목의 참고구간 설정)

  • Kwon, Young-Wook;Pak, Son-Il
    • Journal of Veterinary Clinics
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    • v.27 no.1
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    • pp.66-70
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    • 2010
  • Reference interval is critical for interpreting laboratory results, monitoring response to therapy and predicting the prognosis of the patients in clinical settings. The aim of the present study was to update established reference intervals for routine hematologic and serum chemistry values for a population of clinically healthy dogs (range, 1-8 years) seen in an animal hospital. Blood was obtained by venipuncture while animals were physically restrained, and samples were analyzed for 9 chemistries on MS9-5H (Melot Schloesing Lab, France) and 6 hematology on Vet Test 8008 (IDEXX, USA). Data from 105 dogs (52 males and 53 females) for hematology and 113 dogs (37 males and 76 females) for chemistry were used to determine reference intervals using the parametric, nonparametric and bootstrap methods. Prior to analysis, all parameters were tested for normal distribution using Anderson-Darling criterion. Of the 9 biochemical analytes, alkaline phosphatase, alanine aminotransferase, aspartate aminotransferase, creatinine, total protein, and glucose concentrations did not fit normal distribution for both original and transformed data. All but eosinophil count satisfied normal distribution for either original or transformed data. Parametric method can be used for original cholesterol concentrations, RBC, WBC, and neutrophil counts. This technique can also be used for power-transformed values of blood urea nitrogen concentrations and for logarithm of lymphocyte and monocyte counts. Non-parametric or bootstrap method was the preferred choice for the remaining 7 biochemical parameters and eosinophil count as they did not follow normal distributions. All three statistical techniques performed in similar reference intervals. When establishing reference intervals for clinical laboratory data, it is essential to assess the distribution of the original data to increase the accuracy of the interval, and non-parametric or bootstrap methods are of alternative for the data that do not fit normal distribution.