• Title/Summary/Keyword: time variability

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In Vivo Artificial Parthenogenetic Treatments on Live Silkworm Moth, Bombyx mori Can Induce Higher Parthenogenesis (살아있는 누에 나방(Bombyx mori)에 대한 인공적 단위 발생 처리의 단위 발생란 유발 촉진 효과)

  • Bae, Hee Eun;Lee, Yoon Kyung;Park, So Hyun;Lee, Seul-bi;Lee, Sang Mong
    • Journal of Life Science
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    • v.29 no.2
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    • pp.272-278
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    • 2019
  • The silkworm performs sexual reproduction for the production of its healthy offsprings from generations to generations. Parthenogenesis in the silkworm, Bombyx mori acquires immense use in the development of outstanding homozygouse lines with higher viability, hybrid vigour, combining ability and less phenotypic variability, and it can serve as a powerful tool in controlling sex of the offsprings as well as a useful tool in selection of breeding schemes. However, naturally occuring parthenogenesis in silkworm could not be found so far. Fortunately, artificial induction of parthenogenesis is possible in silkworm. So, it is very important to find out novel methods for induction of parthenogenesis. We investigated to attempt to get a novel parthenogenetic method. Accordingly, parthenogenetic studies on between unfertilized in vivo ovarian eggs of live silkworm moth(novel) and unfertilized in vitro ovarian eggs(conventional) taken out from live silkworm moth were investigated by hot water ($46^{\circ}C$), hot air ($46^{\circ}C$) and low temperature ($0^{\circ}C$ and $-20^{\circ}C$) treatments. The best ratio of parthenogenetic eggs was obtained with in vivo ovarian eggs of live silkworm moth rather than with in vitro ovarian eggs taken out from live silkworm moth in all the treatments. The optimum exposure time absolutely depended upon the temperatures of treatments and the forms of in vivo or in vitro ovarian eggs. From these results, we expect that in vivo artificial parthenogenetic treatments on live silkworm moth will be useful for the higher induction of parthenogenesis in the silkworm, B. mori.

Hemodynamic, Autonomic, and Vascular Function Changes after Sleep Deprivation for 24, 28, and 32 Hours in Healthy Men

  • Slomko, Joanna;Zawadka-Kunikowska, Monika;Kozakiewicz, Mariusz;Klawe, Jacek J.;Tafil-Klawe, Malgorzata;Newton, Julia L.;Zalewski, Pawel
    • Yonsei Medical Journal
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    • v.59 no.9
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    • pp.1138-1142
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    • 2018
  • This study aimed to analyze the impact of sleep deprivation (SD) on cardiac, hemodynamic, and endothelial parameters and to determine whether these are sustained with increased periods of SD. The study included 60 healthy men (mean: age $31.2{\pm}6.3years$; body mass index $24.6{\pm}2.6kg/m^2$). Hemodynamic parameters, parameters of myocardial contractility, spectral analysis of heart rate (HR) and blood pressure (BP) variability, and the sensitivity of arterial baroreflex function were evaluated. Biochemical tests were performed to assess L-arginine (L-Arg) and asymmetric dimethylarginine (ADMA) levels in reflection of endothelial nitric oxide synthase ability. Measurements of cardiovascular system parameters were obtained at 9 a.m. (baseline) on the first day of the study and 9 a.m. (24-h SD), 1 p.m. (28-h SD), and 5 p.m. (32-h SD) on the second day. Blood samples for evaluating biochemical parameters were obtained at baseline and after 24-h SD. ANOVA Friedman's test revealed a significant effect for time in relation to HR (${\chi}^2=26.04$, df=5, p=0.000), systolic BP (${\chi}^2=35.98$, df=5, p=0.000), diastolic BP (${\chi}^2=18.01$, df=5, p=0.003), and mean BP (${\chi}^2=28.32$, df=5, p=0.000). L-Arg and ADMA levels changed from $78.2{\pm}12.9$ and $0.3{\pm}0.1$ at baseline to $68.8{\pm}10.2$ and $0.4{\pm}0.1$ after 24-hr SD, respectively (p=0.001, p=0.004). SD in healthy men is associated with increases in BP, which appear to occur after 24 hours of SD and are maintained over increasing periods of SD. The observed hemodynamic changes may have resulted due to disordered vascular endothelial function, as reflected in alterations in L-Arg and ADMA levels.

The Influence of perceptual load on target identification and negative repetition effect in post-cueing forced choice task (순간 노출되는 표적의 식별과 부적 반복효과에 지각부하가 미치는 영향)

  • Kim, Inik;Park, ChangHo
    • Korean Journal of Cognitive Science
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    • v.33 no.1
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    • pp.1-22
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    • 2022
  • Lavie's perceptual load theory (Lavie, 1995) proposes that the influence of distractors would be blocked as the load gets higher. Studies of perceptual load have usually adopted the flanker task, developed by Eriksen and Eriksen (1974), which measures reaction time on the target flanked by distractors. In the post-cueing forced task, participants should report the identity of the target cued later, and negative repetition effect (NRE) has often been observed. NRE means the effect that the accuracy of identification is worse when the target is flanked by the same nontargets than when flanked by different nontargets. This study has tried to check whether perceptual load has an effect on identification rate and NRE. Experiment 1 manipulated the similarity between targets and a distractor, and observed a tendency of NRE, but not the effect of perceptual load. Experiment 2 used 4, 2 (in two kinds of diagonal arrangement), or none distractors of the same identity to burden more perceptual load. NRE was significant and perceptual load showed significance but not a linear trend. Experiment 3 checked again whether NRE would be varied according to two levels of perceptual load strengthened by positional variability of load stimuli, but did not find the effect of perceptual load. It is concluded that perceptual load might have a limited effect on the early stage of perceptual processing due to divided attentional processing of the targets briefly exposed. Implications of this study were discussed.

Comparative study on growth of leafy vegetables grown in a hybrid BFT-aquaponics using Japanese eel, Anguilla japonica and hydroponics

  • Lee, Dong-Hoon;Kim, Jeong-Dae
    • Fisheries and Aquatic Sciences
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    • v.24 no.7
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    • pp.260-275
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    • 2021
  • Aquaponics is a cultivation system that combines aquaculture and agricultural hydroponics. This study investigated the productivity of leafy vegetables cultivated in the hybrid biofloc technology-aquaponics (HBFT-AP) using Japanese eel fed two kinds of diets (Mash, commercial powdered feed and extruded pellet [EP]) and hydroponics (HP).The mash was fed to the fish in a type of a dough mixed with water for 6 weeks (Exp1) and switched to the EP containing 2.7% monobasic potassium phosphate (MKP) for subsequent 6 weeks (Exp2). Leafy vegetables of 8 cultivar were employed in the experiment and water quality [dissolved oxygen (DO, mg/L), pH, water temperature (℃), electrical conductivity (EC; ㎲/cm), turbidity (NTU), TAN (NH3 + NH4+) (mg /L), NO2-N (mg/L), NO3-N (mg/L) and PO4-P (mg/L)] was measured 6 times a week. Leafy vegetable productivity (HBFT-AP vs HP) was compared in respective experiment, which was similar or somewhat higher in HBFT-AP. During the 12-week feeding trial, concentrations of nitrite (NO2-N) and phosphorus (PO4-P) were kept low in variability while total ammonia nitrogen (TAN) and NO3-N levels increased with time in HBFT-AP. At the end of two feeding trials, values of weight gain (WG, %), feed efficiency (FE, %), specific growth rate (SGR, %) and protein efficiency ratio (PER) were higher in Exp2 than in Exp1. As well, higher values in hematocrit (PCV, %), plasma K (mEq/L) and inorganic phosphorus (mg/dL) were found (p < 0.05) in Exp2 where fish were fed the EP (EP: 38.60%, 2.80 mEq/L and 7.04 g/dL; Mash: 33.20%, 1.95 mEq/L and 5.50 g/dL). Leafy vegetables in HBFT-AP using Japanese eel fed the EP with MKP 2.7% had a productivity similar (4 kinds of cultivar) or somewhat higher (4 kinds of cultivar) compared to those in HP. Also, Japanese eel fed the EP showed higher values of Pi (m/dL) and K (mEq/L) in plasma compared to those fed commercial powder diet.

Numerical Simulation of Ocean - Ice Shelf Interaction: Water Mass Circulation in the Terra Nova Bay, Antarctica (해양-빙붕 상호작용을 고려한 남극 테라노바 만에서 수괴 형성과 순환의 수치 시뮬레이션)

  • Taekyun, Kim;Emilia Kyung, Jin;Ji Sung, Na;Choon Ki, Lee;Won Sang, Lee;Jae-Hong, Moon
    • Ocean and Polar Research
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    • v.44 no.4
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    • pp.269-285
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    • 2022
  • The interaction between ocean and ice shelf is a critical physical process in relation to water mass transformations and ice shelf melting/freezing at the ocean-ice interface. However, it remains challenging to thoroughly understand the process due to a lack of observational data with respect to ice shelf cavities. This is the first study to simulate the variability and circulation of water mass both overlying the continental shelf and underneath an ice shelf and an ice tongue in the Terra Nova Bay (TNB), East Antarctica. To explore the properties of water mass and circulation patterns in the TNB and the corresponding effects on sub ice shelf basal melting, we explicitly incorporate the dynamic-thermodynamic processes acting on the ice shelf in the Regional Ocean Modeling System. The simulated water mass formation and circulation in the TNB region agree well with previous studies. The model results show that the TNB circulation is dominated by the geostrophic currents driven by lateral density gradients induced by the releasing of brine or freshwater at the polynya of the TNB. Meanwhile, the circulation dynamics in the cavity under the Nansen Ice shelf (NIS) are different from those in the TNB. The gravity-driven bottom current induced by High Salinity Shelf Water (HSSW) formed at the TNB polynya flows towards the grounding line, and the buoyance-driven flow associated with glacial meltwater generated by the HSSW emerges from the cavity along the ice base. Both current systems compose the thermohaline overturning circulation in the NIS cavity. This study estimates the NIS basal melting rate to be 0.98 m/a, which is comparable to the previously observed melt rate. However, the melting rate shows a significant variation in space and time.

Analysis of CO/CO2 Ratio Variability According to the Origin of Greenhouse Gas at Anmyeon-do (안면도 지역 온실기체 기원에 따른 CO/CO2 비율 변동성 분석 연구)

  • Kim, Jaemin;Lee, Haeyoung;Kim, Sumin;Chung, Chu-Yong;Kim, Yeon-Hee;Lee, Greem;Choi, Kyung Bae;Lee, Yun Gon
    • Atmosphere
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    • v.31 no.5
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    • pp.625-635
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    • 2021
  • South Korea established the 2050 Carbon Neutral Plan in response to the climate crisis, and to achieve this policy, it is very important to monitor domestic carbon emissions and atmospheric carbon concentration. Both CO2 and CO are emitted from fossil fuel combustion processes, but the relative ratios depend on the combustion efficiency and the strength of local emission regulations. In this study, the relationship between CO2 and CO was analyzed using ground observation data for the period of 2018~2020 at Anmyeon-do site and the CO/CO2 ratio according to regional origin during high CO2 cases was investigated based on the footprint simulated from Stochastic Time-Inverted Lagrangian Transport (STILT) model. CO2 and CO showed a positive correlation with correlation coefficient of 0.66 (p < 0.01), and averaged footprints during high CO2 cases confirmed that air particles mainly originated from eastern and north-eastern China, and inland of Korean Peninsula. In addition, it was revealed that among the cases of high CO2 concentration, when the CO/CO2 ratio is high, the industrial area of eastern China is greatly affected, and when the ratio is low, the contribution of the domestic region is relatively high. The ratio of CO2 and CO in this study is significant in that it can be used as a useful factor in determining the possibility of domestic and foreign origins of climate pollutants.

A study on the application of the agricultural reservoir water level recognition model using CCTV image data (농업용 저수지 CCTV 영상자료 기반 수위 인식 모델 적용성 검토)

  • Kwon, Soon Ho;Ha, Changyong;Lee, Seungyub
    • Journal of Korea Water Resources Association
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    • v.56 no.4
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    • pp.245-259
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    • 2023
  • The agricultural reservoir is a critical water supply system in South Korea, providing approximately 60% of the agricultural water demand. However, the reservoir faces several issues that jeopardize its efficient operation and management. To address this issues, we propose a novel deep-learning-based water level recognition model that uses CCTV image data to accurately estimate water levels in agricultural reservoirs. The model consists of three main parts: (1) dataset construction, (2) image segmentation using the U-Net algorithm, and (3) CCTV-based water level recognition using either CNN or ResNet. The model has been applied to two reservoirs G-reservoir and M-reservoir with observed CCTV image and water level time series data. The results show that the performance of the image segmentation model is superior, while the performance of the water level recognition model varies from 50 to 80% depending on water level classification criteria (i.e., classification guideline) and complexity of image data (i.e., variability of the image pixels). The performance of the model can be improved if more numbers of data can be collected.

Deep Learning based Estimation of Depth to Bearing Layer from In-situ Data (딥러닝 기반 국내 지반의 지지층 깊이 예측)

  • Jang, Young-Eun;Jung, Jaeho;Han, Jin-Tae;Yu, Yonggyun
    • Journal of the Korean Geotechnical Society
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    • v.38 no.3
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    • pp.35-42
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    • 2022
  • The N-value from the Standard Penetration Test (SPT), which is one of the representative in-situ test, is an important index that provides basic geological information and the depth of the bearing layer for the design of geotechnical structures. In the aspect of time and cost-effectiveness, there is a need to carry out a representative sampling test. However, the various variability and uncertainty are existing in the soil layer, so it is difficult to grasp the characteristics of the entire field from the limited test results. Thus the spatial interpolation techniques such as Kriging and IDW (inverse distance weighted) have been used for predicting unknown point from existing data. Recently, in order to increase the accuracy of interpolation results, studies that combine the geotechnics and deep learning method have been conducted. In this study, based on the SPT results of about 22,000 holes of ground survey, a comparative study was conducted to predict the depth of the bearing layer using deep learning methods and IDW. The average error among the prediction results of the bearing layer of each analysis model was 3.01 m for IDW, 3.22 m and 2.46 m for fully connected network and PointNet, respectively. The standard deviation was 3.99 for IDW, 3.95 and 3.54 for fully connected network and PointNet. As a result, the point net deep learing algorithm showed improved results compared to IDW and other deep learning method.

A Study on the Formative Process of Genre and Storytelling in Observation Entertainment Programs - Focusing on the Role of Observer (관찰 예능의 장르화 과정과 스토리텔링 연구 -관찰자의 역할을 중심으로)

  • Lee, Hyun-Joong
    • Journal of Popular Narrative
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    • v.25 no.2
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    • pp.217-245
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    • 2019
  • Recently, the interest among Korean broadcasters in the 'observation entertainment' genre has intensified. This study aims to analyze the genre and storytelling of observation entertainment programming from a narratological perspective. The origin of the Korean observation entertainment program began with the 'reality-variety show'. There was a 'real-life' debate in these reality-variety shows, and as an alternative, the observation entertainment program appeared. Documentary filming, omnibus composition, and spatialization of 'everyday' life have led to the recognition of observation entertainment as a single genre. In particular, 'observers' have become a key factor in the observation entertainment program. The subject of the program is determined by who the observer is. The variability of the program format is the same. The observer looks at the observation target on behalf of the viewer. At the same time, he or she serves as a narrator of the program. The observer functions as the most influential factor in the storytelling of the observation entertainment program. In the observation entertainment program, 'observation' is only a form. It is the observer who creates a narrative within this same format to make the difference between each program. Also, voyeurism has been considered a problem in reality shows such as observation entertainment programs. However, the form communicated by observers is not a direct peek, so much of the problem of voyeurism is mitigated. Such observation entertainment programs analyzed through observers are meaningful in that they make people understand the cultural meaning of "reality" in TV and the storytelling of contemporary Korean TV entertainment.

GOCI-IIVisible Radiometric Calibration Using Solar Radiance Observations and Sensor Stability Analysis (GOCI-II 태양광 보정시스템을 활용한 가시 채널 복사 보정 개선 및 센서 안정성 분석)

  • Minsang Kim;Myung-Sook Park;Jae-Hyun Ahn;Gm-Sil Kang
    • Korean Journal of Remote Sensing
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    • v.39 no.6_2
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    • pp.1541-1551
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    • 2023
  • Radiometric calibration is a fundamental step in ocean color remote sensing since the step to derive solar radiance spectrum in visible to near-infrared wavelengths from the sensor-observed electromagnetic signals. Generally, satellite sensor suffers from degradation over the mission period, which results in biases/uncertainties in radiometric calibration and the final ocean products such as water-leaving radiance, chlorophyll-a concentration, and colored dissolved organic matter. Therefore, the importance of radiometric calibration for the continuity of ocean color satellites has been emphasized internationally. This study introduces an approach to improve the radiometric calibration algorithm for the visible bands of the Geostationary Ocean Color Imager-II (GOCI-II) satellite with a focus on stability. Solar Diffuser (SD) measurements were employed as an on-orbit radiometric calibration reference, to obtain the continuous monitoring of absolute gain values. Time series analysis of GOCI-II absolute gains revealed seasonal variations depending on the azimuth angle, as well as long-term trends by possible sensor degradation effects. To resolve the complexities in gain variability, an azimuth angle correction model was developed to eliminate seasonal periodicity, and a sensor degradation correction model was applied to estimate nonlinear trends in the absolute gain parameters. The results demonstrate the effects of the azimuth angle correction and sensor degradation correction model on the spectrum of Top of Atmosphere (TOA) radiance, confirming the capability for improving the long-term stability of GOCI-II data.