• 제목/요약/키워드: REM Model

검색결과 49건 처리시간 0.03초

Linalool Ameliorates Memory Loss and Behavioral Impairment Induced by REM-Sleep Deprivation through the Serotonergic Pathway

  • Lee, Bo Kyung;Jung, An Na;Jung, Yi-Sook
    • Biomolecules & Therapeutics
    • /
    • 제26권4호
    • /
    • pp.368-373
    • /
    • 2018
  • Rapid eye movement (REM) sleep has an essential role in the process of learning and memory in the hippocampus. It has been reported that linalool, a major component of Lavandula angustifolia, has antioxidant, anti-inflammatory, and neuroprotective effects, along with other effects. However, the effect of linalool on the cognitive impairment and behavioral alterations that are induced by REM-sleep deprivation has not yet been elucidated. Several studies have reported that REM-sleep deprivation-induced memory deficits provide a well-known model of behavioral alterations. In the present study, we examined whether linalool elicited an anti-stress effect, reversing the behavioral alterations observed following REM-sleep deprivation in mice. Furthermore, we investigated the underlying mechanism of the effect of linalool. Spatial memory and learning memory were assessed through Y maze and passive avoidance tests, respectively, and the forced swimming test was used to evaluate anti-stress activity. The mechanisms through which linalool improves memory loss and behavioral alterations in sleep-deprived mice appeared to be through an increase in the serotonin levels. Linalool significantly ameliorated the spatial and learning memory deficits, and stress activity observed in sleep-deprived animals. Moreover, linalool led to serotonin release, and cortisol level reduction. Our findings suggest that linalool has beneficial effects on the memory loss and behavioral alterations induced by REM-sleep deprivation through the regulation of serotonin levels.

용융 폴리우레탄의 완화 스펙트럼에 의한 자체확산분포 결정 (Determination of Self Diffusion Distributions of Molten Polyurethanes by Relaxation Spectra)

  • 김남정
    • 대한화학회지
    • /
    • 제50권3호
    • /
    • pp.196-202
    • /
    • 2006
  • 점탄성 용융 폴리우레탄의 자체확산분포가 완화스펙트럼과 자체확산분포 관계식으로부터 얻어졌다. ester, PCL PCL dyed 형의 용융 폴리우레탄의 완화스펙트럼은 실험적인 응력완화 곡선을 Ree-Eyring and Maxwell non-Newtonian model(REM 모델)이론식에 적용시켜서 얻는다. 용융폴리우레탄의 응력완화 실험은 온도조절 장치가 있는 physica 레오메타를 이용하여 여러 온도에서 수행되었다. 이론적인 완화스펙트럼은 REM model로부터 유도한 이론적인 완화스펙트럼식을 프로그램화한 컴퓨터 계산에서 구하였다. 폴리우레탄 시료의 자체확산과 비결정 영역의 홀거리가 응력완화 실험에 의해서 연구 조사되었다. 비결정 영역에서의 유동단위의 확산을 연구하기 위해서 확산계수와 홀부피가 유변학적인 파라메타와 결정크기로부터 계산되었다. 폴리우레탄 시료의 완화스펙트럼과 자체확산은 유동 단위의 분자량분포, 점도, 홀부피, 활성화에너지와 밀접한 관계가 있는 것을 알 수 있다.

비저항추정모델을 이용한 실험체 크기의 영향에 대한 연구 (A Study on the Effect of Specimen Size using Resistivity Estimation Model)

  • 임영철
    • 한국구조물진단유지관리공학회 논문집
    • /
    • 제23권6호
    • /
    • pp.113-119
    • /
    • 2019
  • 본 연구는 전기비저항 측정시 실험체 크기에 따른 영향에 대해 비저항추정모델을 이용한 해석적 검토를 목적으로 한다. 실험에서는 콘크리트 실험체를 제작하여 전극 간격별 겉보기 비저항 측정하였다. 측정된 겉보기 비저항은 실험체 크기가 작아지고 외측(가장자리)에 가까울수록 겉보기 비저항치의 왜곡현상이 심해진다는 것을 확인할 수 있었다. 측정치와 해석치의 비교·분석 결과, 실험체 크기의 영향성 검토에 REM이 활용될 수 있을 것으로 기대된다.

REM 모델에 의한 Poly(methyl acrylate)-Poly(acrylonitrile) 공중합체 완화스펙트럼의 pH 영향 (pH Effect on Relaxation Spectra of Poly(methyl acrylate)-Poly(acrylonitrile) Copolymers by REM Model)

  • 김남정
    • 폴리머
    • /
    • 제37권2호
    • /
    • pp.135-140
    • /
    • 2013
  • Poly(methyl acrylate)-poly(acrylonitrile) 공중합체의 응력완화 실험은 용매기를 부착한 인장 시험기를 사용하여 여러 온도의 공기 중, 증류수, pH 3, 7, 11 용액에서 실행하였다. Ree-Eyring and Maxwell 모델로부터 얻은 완화스펙트럼 식에 실험적인 응력완화 곡선을 대입하여 poly(methyl acrylate)-poly(acrylonitrile) 공중합체의 완화스펙트럼을 얻었다. 완화스펙트럼의 계산은 Laplace 변환법을 사용한 컴퓨터 프로그램을 이용하였다. 이들 시료의 완화스펙트럼은 유동단위의 분자량과 자체확산 분포와 밀접한 관계가 있음을 알 수 있었다.

A Study on Earnings Management in Companies Achieving Sustainability: Accruals-based and Real Earnings Management

  • JI, Sang-Hyun;OH, Han-Mo;YOON, Ki-Chang;AN, Sang-Bong
    • 유통과학연구
    • /
    • 제17권9호
    • /
    • pp.103-115
    • /
    • 2019
  • Purpose - We attempted to verify the level of ethics of firms achieving sustainable management from the aspect of reliability of accounting information. Specifically, we evaluated the effects of sustainable management on accruals-based earning management (AEM) and real earning management (REM). Research design, data, and methodology - We employed the issuance of sustainability reports in addition to the indices of social responsibility and environmental-management evaluation of the Korea Corporate Governance Service in order to measure sustainability management. AEM was measured using discretionary accruals and calculated using the operant Jones model. Specifically, REM was measured using the methodology suggested by prior studies. The sample of our study consisted of 1,418 years of public listed firms in the Korea Stock Exchange from 2015 to 2017. Results - First, the level of AEM in firms achieving sustainable management was lower than the other. Second, the level of REM in these firms was lower than the other. Nonetheless, another analysis showed that the level of governance control affects the level of earning management and that the levels of AEM and REM were generally lower in firms achieving sustainable management than the others. Conclusions - We expected that firms achieving external ethics tend to have a higher level of internal ethics than others.

Factors Affecting Real Earning Management: Evidence from Indonesia Stock Exchange

  • SIAHAYA, Septina Louisa;SANDANAFU, Sally Paulina;APONNO, Chrestiana;SADUBBUN, Vury Lilian Angela
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권8호
    • /
    • pp.85-91
    • /
    • 2021
  • This research aims to analyze the impact of Financial Risk (FR), Information Asymmetric (IA), and Earning Power (EP) on Real Earning Management (REM) of listed trading companies in IDX Indonesia. This study aims to analyze the influence of FR, IA, EP, on REM through Operating Cash Flow, Production expense, and Discretionary Expense. The study employs an unbalanced panel of data set from 2014 to 2018 on the activity of all trading companies (15 in total) as selected samples of 48 feasible samples from 144 existing data. The sample used a non probability sampling method with a purposive sampling technique. This research was classified as causative and tested by multiple linear regression model with cross-sectional analysis. The result indicated a significant impact of FR on REM through PROD and DISX but not through COF. How ever, IA, and EP showed significant impact on REM by means of COF but not go by PROD and DISX..The findings in this study contribute to the users of financial reports particularly the stakeholders in defining the determinants of real earning management practices among firms when it comes to decision making.

Estimating Indoor Radio Environment Maps with Mobile Robots and Machine Learning

  • Taewoong Hwang;Mario R. Camana Acosta;Carla E. Garcia Moreta;Insoo Koo
    • International journal of advanced smart convergence
    • /
    • 제12권1호
    • /
    • pp.92-100
    • /
    • 2023
  • Wireless communication technology is becoming increasingly prevalent in smart factories, but the rise in the number of wireless devices can lead to interference in the ISM band and obstacles like metal blocks within the factory can weaken communication signals, creating radio shadow areas that impede information exchange. Consequently, accurately determining the radio communication coverage range is crucial. To address this issue, a Radio Environment Map (REM) can be used to provide information about the radio environment in a specific area. In this paper, a technique for estimating an indoor REM usinga mobile robot and machine learning methods is introduced. The mobile robot first collects and processes data, including the Received Signal Strength Indicator (RSSI) and location estimation. This data is then used to implement the REM through machine learning regression algorithms such as Extra Tree Regressor, Random Forest Regressor, and Decision Tree Regressor. Furthermore, the numerical and visual performance of REM for each model can be assessed in terms of R2 and Root Mean Square Error (RMSE).

연속 항공영상을 이용한 절대위치 추정 알고리듬 (Absolute Position Estimation Algorithm Using Sequential Aerial Images)

  • 심동규;박래홍
    • 전자공학회논문지S
    • /
    • 제36S권3호
    • /
    • pp.68-75
    • /
    • 1999
  • 본 논문은 항공영상으로부터 REM( recovered elevation map)를 추출하여 DEM (digital elevation model)과 정합함으로써 비행체의 위치를 추정하는 기법을 제안하였다. 제안한 알고리듬은 연속항공영상을 이용함으로써 보다 넓은 지역에 대한 REM (recovered elevation map)복원이 가능하여 정합확률이 높아진다. 또한 강건한 거리 척도를 사용함으로써 몇 개의 점에서의 매우 큰 오차에 영향을 받지 않은 알고리듬을 제안하였다. 본 논문에선 몇 개의 항공영상을 가지고 컴퓨터 시뮬레이션을 통하여 제안한 알고리듬의 효용성을 보였다.

  • PDF

토양특성 기반 토양수분 함량 예측을 위한 PTF 적용성 검정 (Verification on PTF (Pedo-Transfer Function) estimating soil water retention based on soil properties)

  • 허승오;손연규;현병근;신국식;오택근;김정규
    • 농업과학연구
    • /
    • 제41권4호
    • /
    • pp.391-398
    • /
    • 2014
  • Identifying soil water content as a major factor for evaluating irrigation and water resource is a primary module to develop a prediction model. A variety of PTFs (Pedo-Transfer Functions) are applied in the models to estimate soil water content, the analysis techniques, however, which compare the estimated from models and the measured by instruments, are not reached at the level to demonstrate the effectiveness of the PTFs in Korea. Many soil physicians such as Eom, Peterson, Rawls, Saxton, Bruand, Baties, Tomasella & Hodnett (T&H), and Minasny, have developed analytic models using PTFs. Soil data for the analysis used soil water contents on 347 soil series (10 kPa), 358 soil series (33 kPa), 356 soil series (1,500 kPa) established by NAAS (National Academy of Agricultural Science). A coefficient of determination on soil water content at 10, 33 and 1,500 kPa was the highest as 0.5932 in EM (Eom model), 0.6744 in REM (Rawls model) and 0.6108 in REM, respectively. In conclusion, it is strongly suggested that the use of EM or REM is suitable for estimating soil water content in Korea although SM (Saxton model) has been widely used.

FMEA에서 계층적 시간 지연 모형에 근거한 위험평가 (Risk Evaluation Based on the Hierarchical Time Delay Model in FMEA)

  • 장현애;이민구;홍성훈;권혁무
    • 품질경영학회지
    • /
    • 제44권2호
    • /
    • pp.373-388
    • /
    • 2016
  • Purpose: This paper suggests a hierarchical time delay model to evaluate failure risks in FMEA(failure modes and effects analysis). In place of the conventional RPN(risk priority number), a more reasonable and objective risk metric is proposed under hierarchical failure cause structure considering time delay between a failure mode and its causes. Methods: The structure of failure modes and their corresponding causes are analyzed together with the time gaps between occurrences of causes and failures. Assuming the severity of a failure depends on the length of the delayed time for corrective action, a severity model is developed. Using the expected severity, a risk priority metric is defined. Results: For linear and quadratic types of severity, nice forms of expected severity are derived and a meaningful metric for risk evaluation is defined. Conclusion: The suggested REM(risk evaluation metric) provides a more reasonable and objective risk measure than the conventional RPN for FMEA.