• Title/Summary/Keyword: Sign Prediction

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Induced Circular Dichroism Spectra and Chromatography by Interaction of Some Racemic Cobalt (III) Complexes and d-Tartrate$^2$- in Aqueous Solution (d-주석산이온과 라세미코발트(III) 착물과의 상호작용에 따른 유발원편광이색성 Spectra와 크로마토그래피)

  • Chang Eon Oh;Dae Ho Kang;Gab Choul Shin
    • Journal of the Korean Chemical Society
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    • v.25 no.5
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    • pp.306-310
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    • 1981
  • Induced circular dichroism spectra of racemic cobalt(III) complexes for $[Co(en)_3]^{3+},\;[Co(tn_)3]^{3+},\;cis-[Co(NH_3)(en)_2]^{3+},\;[Co({\beta}-ala)(en)2_]^{2+},\;[Co(gly)(en)_2]^{2+}\;and\;[Co(acac)(en)_2]^{2+}$ were measured when they were dissolved in aqueous d-tartrate2- solution at room temperature. Only a single negative CD spectrum was observed for all the complexes above in visible region(400∼500nm). It was interpreted that these CD bands were attributed to the difference in interaction between ${\Lambda}$-and ${\Delta}$-enantiomers with d-tartrate$^{2-}$. Namely, when d-tartrate$^{2-}$ was added to ${\Lambda}$-enantiomer and ${\Delta}$-enantiomer, it caused ${\Lambda}$-enantiomer to change greatly and ${\Delta}$-enantiomer to change only slightly; combined the results proved induced circular dichroism. The enantiomer for which the eluent has a stronger affinity should be eluted faster in ion-exchange column chromatography. It is possible to predict the elution order of chromatography from the sign of the induced CD if stronger interaction of chiral anion with the complex leads to greater change in the natural CD spectrum of the complex. The elution order was in complete agreement with the prediction from the sign of the induced CD spectrum for all the measured complexes.

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Development of Traffic Accident frequency Prediction Model by Administrative zone - A Case of Seoul (소규모 지역단위 교통사고예측모형 개발 - 서울시 행정동을 대상으로)

  • Hong, Ji Yeon;Lee, Soo Beom;Kim, Jeong Hyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.6
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    • pp.1297-1308
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    • 2015
  • In Korea, the local traffic safety master plan has been established and implemented according to the Traffic Safety Act. Each local government is required to establish a customized traffic safety policy and share roles for improvement of traffic safety and this means that local governments lead and promote effective local traffic safety policies fit for local circumstances in substance. For implementing efficient traffic safety policies, which accord with many-sided characteristics of local governments, the prediction of community-based traffic accidents, which considers local characteristics and the analysis of accident influence factors must be preceded, but there is a shortage of research on this. Most of existing studies on the community-based traffic accident prediction used social and economic variables related to accident exposure environments in countries or cities due to the limit of collected data. For this reason, there was a limit in applying the developed models to the actual reduction of traffic accidents. Thus, this study developed a local traffic accident prediction model, based on smaller regional units, administrative districts, which were not omitted in existing studies and suggested a method to reflect traffic safety facility and policy variables that traffic safety policy makers can control, in addition to social and economic variables related to accident exposure environments, in the model and apply them to the development of local traffic safety policies. The model development result showed that in terms of accident exposure environments, road extension, gross floor area of buildings, the ratio of bus lane installation and the number of crossroads and crosswalks had a positive relation with accidents and the ratio of crosswalk sign installation, the number of speed bumps and the results of clampdown by police force had a negative relation with accidents.

Analysis on Electromyogram(EMG) Signals by Body Parts for G-induced Loss of Consciousness(G-LOC) Prediction (G-induced Loss of Consciousness(G-LOC) 예측을 위한 신체 부위별 Electromyogram(EMG) 신호 분석)

  • Kim, Sungho;Kim, Dongsoo;Cho, Taehwan;Lee, Yongkyun;Choi, Booyong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.20 no.1
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    • pp.119-128
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    • 2017
  • G-induced Loss of Consciousness(G-LOC) can be predicted by measuring Electromyogram(EMG) signals. Existing studies have mainly focused on specific body parts and lacked of consideration with quantitative EMG indices. The purpose of this study is to analyze the indices of EMG signals by human body parts for monitoring G-LOC condition. The data of seven EMG features such as Root Mean Square(RMS), Integrated Absolute Value(IAV), and Mean Absolute Value(MAV) for reflecting muscle contraction and Slope Sign Changes(SSC), Waveform Length (WL), Zero Crossing(ZC), and Median Frequency(MF) for representing muscle contraction and fatigue was retrieved from high G-training on a human centrifuge simulator. A total of 19 trainees out of 47 trainees of the Korean Air Force fell into G-LOC condition during the training in attaching EMG sensor to three body parts(neck, abdomen, calf). IAV, MAV, WL, and ZC under condition after G-LOC were decreased by 17 %, 17 %, 18 %, and 4 % comparing to those under condition before G-LOC respectively. Also, RMS, IAV, MAV, and WL in neck part under condition after G-LOC were higher than those under condition before G-LOC; while, those in abdomen and calf part lower. This study suggest that measurement of IAV and WL by attaching EMG sensor to calf part may be optimal for predicting G-LOC.

A Research on Floral Pattern Analysis and Fashion Trend Application Appearing in Fashion Collections - Focusing on the 2012 S/S ~ 2017 S/S Seasons - (패션 컬렉션에 나타난 플로럴패턴 분석 및 패션트렌드 반영 연구 - 2012 S/S ~ 2017 S/S를 중심으로 -)

  • Rhee, Myung-Soog;Park, Soon-Im
    • Journal of the Korea Fashion and Costume Design Association
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    • v.19 no.2
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    • pp.129-144
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    • 2017
  • Throughout the rich human history, patterns have developed as a symbolic sign and representation of the inner psychology of human beings. Thanks to its intrinsic beauty and emotional richness, the flower has been utilized as a one of the major materials for patterns used in everyday life and art. As a product of nature, floral patterns have played a key role in fashion trends as a Surface Design with other elements of fashion design such as silhouette, fabric and color. Therefore, this research sought to identify the trends of floral patterns of women's garments that appeared at the four major global fashion collections (Paris, Milano, New York and London), and to analyze how importantly the fashion magazines' prediction were applied in the actual collections. Furthermore, the research aimed to suggest possible methods to utilize trend magazines for collections in the future. As a main research method, the authors investigated professional fashion literature and internet websites to extract a total of 4,681 items presented by sixteen designers who participated in the four major global fashion collections each time during the period of the 2012 S/S~2017 S/S seasons. First View Korea and Samsung Design Net were used as major sources for the pattern extraction and analysis. According to the analysis, floral patterns account for 31%(1,454 items) among the total number of patterns appearing in the four major global fashion collections(4,681 items). For the reflection ratio, Samsung Design Net recorded a 4% higher ratio(52%) than First View Korea(48%). Based on the data and analysis of this research, the authors expect that floral patterns in various forms will be continuously presented in fashion collections, and conclude that utilizing fashion magazines is highly useful due to their appropriate predictions.

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A Study on the Theme Park Users' Choice behavior -Application of Constraints-Induced Conjoint Choice Model- (주제공원 이용자들의 선택행동 연구 -Constraints-Induced Conjoint Choice Model의 적용-)

  • 홍성권;이용훈
    • Journal of the Korean Institute of Landscape Architecture
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    • v.28 no.2
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    • pp.18-27
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    • 2000
  • The importance of constraints has been one of major issues in recreation for prediction of choice behavior; however, traditional conjoint choice model did not consider the effects of these variables or fail to integrate them into choice model adequately. The purposes of this research are (a) to estimate the effects of constraints in theme park choice behavior by the constraints-induced conjoint choice model, and (b) to test additional explanatory power of the additional constraints in this suggested model against the more parsimonious traditional model. A leading polling agency was employed to select respondents. Both alternative generating and choice set generating fractional factorial design were conducted to meet the necessary and sufficient conditions for calibration of the constraints-induced conjoint choice model. Th alternative-specific model was calibrated. The log-likelihood ratio test revealed that suggested model was accepted in the favor of the traditional model, and the goodness-of-fit($\rho$$^2$) of suggested and traditional model was 0.48427 and 0.47950, respectively. There was no difference between traditional and suggested model in estimates of attribute levels of car and shuttle bus because alternatives were created to estimate the effects of constraints independently from mode related variables. Most parameters values of constraints had the expected sign and magnitude: the results reflected the characteristics of the theme parks, such as abundance of natural attractions and poor accessibility in Everland, location of major fun rides indoor in Lotte World, city park like characteristics of Dream Land, and traffic jams in Seoul. Instead of the multinomial logit model, the nested logit model is recommended for future researches because this model more reasonably reflects the real decision-making process in park choice. Development of new methodology too integrate this hierarchical decision-making into choice model is anticipated.

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The Developement of Liver cancer Vital Sign Information Prediction System using Aptamer Protein Biochip (압타머 단백질 바이오칩을 이용한 간암 진단 생체 정보 예측 시스템 개발)

  • Kim, Gwang-Jun;Lee, Hyoung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.6
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    • pp.965-971
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    • 2011
  • As the liver cancer in our country cancerous occurrence frequency to be the gastric cancer in the common cancer, If the case which will be discovered in early rising the treatment record was considered seriously about under the early detection. The system which it sees with the system for the early detection of the liver cancer reacts the blood of the control group other than the patient who is confirmed as the liver cancer and the liver cancer to the biochip and aptamer protein biochip profiles mechanical studying leads and it is a system which it classifies. 1149 each other it reacted blood samples of the control group other than the liver cancer patient who is composed of the total 85 samples and the liver cancer which is composed of 310 samples to the biochip which is composed with different oligo from the present paper and it was a data which it makes acquire worker the neural network it led and it analyzes the classification efficiency of the result 95.38 ~ 97.95% which it was visible.

Slope Behavior Analysis Using the Measurement of Underground Displacement and Volumetric Water Content (지중 변위와 체적 함수비 계측을 통한 사면 거동 분석)

  • Kim, Yongseong;Kim, Manil;Bibek, Tamang;Jin, Jihuan
    • Journal of the Korean GEO-environmental Society
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    • v.19 no.9
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    • pp.29-36
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    • 2018
  • Several studies have been conducted on monitoring system and automatic measuring instruments to prevent slope failure in advance in Korea and overseas. However, these studies have quite complex structure. Since most of the measurement systems are installed on the slope surface, the researches are carried on the measurement system that detects sign of slope collapse in advance and alerts are still unsatisfactory. In this study, slope collapse experiments were carried out to understand the slope failure mechanism according to rainfall conditions. The water content and displacement behavior at the early stage of the slope failure were analyzed through the measurement of the ground displacement and water content. The results of this study can be used by local government as a basic data for the design of slope failure alarm system to evacuate residents in case of slope failure or landslide due to heavy rainfall.

Exploring Fashion Trends Using Network Analysis (사회연결망 분석을 활용한 패션 트렌드 고찰)

  • Park, Jisoo;Lee, Yuri
    • Journal of the Korean Society of Clothing and Textiles
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    • v.38 no.5
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    • pp.611-626
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    • 2014
  • Reading and foreseeing fashion trends is crucial and difficult in the fashion industry due to accelerated and diversified changes in fashion trends. We use network analysis to investigate fashion trends from 2004 to 2013 in order to find the inter-relevance among fashion trends. We extracted words from fashion trend info for women's wear provided by Samsung Design Net, created a 2-mode network of seasons and trend languages, and visualized this network using NodeXl program. Fashion trends repeated a unique pattern during the period. In the first half (2004-2008), retro modern, feminine modern, and ecological modern were dominant trends in consecutive order. The years 2009-2013 witnessed distinctive fashion trends in S/S seasons and in F/W seasons. 11F/W, 12F/W and 13F/W seasons were characterized by artistic creative style. From 2010, natural style dominated S/S seasons. 10S/S and 12S/S seasons were distinguished as a calm natural style that reflected a peaceful and simple life. In 11S/S and 13S/S seasons, soft natural style emerged as a sign of increased importance of inner spirit and natural energy. A seasonal reappearance of trends was observed every two years in S/S seasons that enabled the prediction that 14S/S will see another version of natural style. A macroscopic trend for the last 10 years was represented by the keywords 'modern' and 'natural'. 'Modern' involved the past styles such as 60's, Baroque and the origin of human life. 'Natural' was connected with design elements such as material, silhouette and color. Managerial implications and future study directions are discussed based on the results.

Pulse Wave Velocity Measured by Radial Artery Clip-type Pulsimeter Equipped with a Hall Device and Electrocardiogram (홀소자가 구비된 요골동맥 집게형맥진기와 심전도로 측정된 맥파전달속도)

  • Lee, Kyu-Hwan;Lee, Sang-Suk
    • Journal of the Korean Magnetics Society
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    • v.23 no.4
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    • pp.130-134
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    • 2013
  • The clip-type pulsimeter equipped with a magnetic sensing Hall device and the most popular body sign of the electrocardiogram (ECG) were investigated in order to analyze the pulse wave velocity (PWV). The PWV simultaneously calculated by means of time difference between the maximum peak of ECG pulse wave and the starting point of radial artery pulse wave, and distance difference between the heart position and the radial wrist position. The PWV analyzed from the clinical data was a wider scope of 5~7 m/s with an average value of 6 m/s. By the prediction of blood vessel's elasticity from the analysis of PWV, it may be useful for developing an oriental-western diagnostic medical signal device for a U-health-care system in the future.

The Effect of Foreign Direct Investment on Public Health: Empirical Evidence from Bangladesh

  • SIDDIQUE, Fahimul Kader;HASAN, K.B.M. Rajibul;CHOWDHURY, Shanjida;RAHMAN, Mahfujur;RAISA, Tahsin Sharmila;ZAYED, Nurul Mohammad
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.83-91
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    • 2021
  • Health is an outset of psychological, social, financial, and physical state. Several macroeconomic factors are entangled with health and mortality. Infant mortality and life expectancy are two keyguard on demographic research context on last few decades. On the other hand, foreign inflows play an unprecedent role for raising economic circulation and providing more opportunities to build a better society. The study aims to investigate the relationship between foreign direct investment (FDI), economic growth, and Bangladesh's health. This study employs time-series data from 1980 to 2018. Results show, with Auto-regressive Distribute Lag (ARDL) model, that there is significant cointegration among variables. Foreign investment and economic output relate significantly and positively to health. On the contrary, education is quasi-linked with a different sign-on different model. For model validation, pitfalls of time-series multicollinearity, heteroscedasiticy, and autocorrelation are not present. Also, CUSUM and CUSUMSQ tests are validating the model as stable and fit for future prediction. Medical assessment and education need more attention from the government as well as the private sector. FDI can play a catalyst role for improving the health sector, raising opportunity in educating and creating a better lifestyle. In order to optimize foreign investment, the government should implement necessary reforms and policies.