• Clinical and Experimental Emergency Medicine
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• v.3 no.3
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• pp.175-180
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• 2016

Objective Combination of ${\beta}_1-adrenergic$ receptor (AR) blockade and ${\beta}_2-AR$ activation might be a potential novel therapy for treating heart failure. However, use of ${\beta}-AR$ agonists and/or antagonists in the clinical setting is controversial because of the lack of information on cardiac inotropic or chronotropic regulation by AR signaling. Methods In this study, we performed hemodynamic evaluation by examining force frequency response (FFR), Frank-Starling relationship, and response to a non-selective ${\beta}-AR$ agonist (isoproterenol) in hearts isolated from 6-month-old transgenic (TG) mice overexpressing ${\beta}_1-$ and ${\beta}_2-ARs$ (${\beta}_1-$ and ${\beta}_2-AR$ TG mice, respectively). Results Cardiac physiologic consequences of ${\beta}_1-$ and ${\beta}_2-AR$ overexpression resulted in similar maximal response to isoproterenol and faster temporary decline of positive inotropic response in ${\beta}_2-AR$ TG mice. ${\beta}_1-AR$ TG mice showed a pronounced negative limb of FFR, whereas ${\beta}_2-AR$ TG mice showed high stimulation frequencies with low contractile depression during FFR. In contrast, Frank-Starling relationship was equally enhanced in both ${\beta}_1-$ and ${\beta}_2-AR$ TG mice. Conclusion Hemodynamic evaluation performed in the present showed a difference in ${\beta}_1-$ and ${\beta}_2-AR$ signaling, which may be due to the difference in the desensitization of ${\beta}_1-$ and ${\beta}_2-ARs$.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.32 no.2
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• pp.71-78
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• 2021

Objectives: This study was conducted to investigate the reliability and validity of the Korean version of the DSM-5 Level 2 Cross-Cutting Symptom Measure-inattention [Swanson, Nolan and Pelham, version IV (SNAP-IV)] and anger [Patient-Reported Outcome Measurement Information System (PROMIS) Anger] for parents and guardians of children aged 6-17 years. Methods: We included 104 children and adolescents diagnosed with attention-deficit/hyperactivity disorder (ADHD), ADHD with anxiety and depression, depressive disorder, anxiety disorder, and tic disorder with somatic symptoms (ADHD=41, depression=9, anxiety=14, ADHD+anxious depression=11, tic+somatic symptoms=29). Their ages ranged from 8 years to 15 years. The participants' mothers completed the SNAP-IV, PROMIS Anger scale, Korean version of the IOWA Conners Rating Scale (K-IOWA), and Korean ADHD Rating Scale (K-ARS) so that the reliability and validity of the SNAP-IV and PROMIS Anger scales, which are DSM-5 scales for assessing inattention and anger of children and adolescents, could be examined. Results: The reliability coefficient of SNAP-IV (Cronbach's α) was 0.94. The correlation coefficients between SNAP-IV, K-IOWA inattention, and K-ARS inattention scores ranged from 0.73 to 0.86. The mean SNAP-IV scores of the ADHD and the ADHD+anxious depression groups were significantly higher than those of the anxiety and the tic+somatic symptoms groups. The reliability coefficient of the PROMIS Anger was 0.91. The correlation coefficient between PROMIS Anger and K-IOWA oppositional/defiant scores was 0.75. The PROMIS Anger mean score of the ADHD+anxious depression group tended to be higher than that of the other groups. Conclusion: These results suggest that the Korean version of the DSM-5 Level 2 Cross-Cutting Symptom Measure-inattention and anger for parent and guardian of child age 6-17 might be a reliable and valid test and may be useful for screening children and adolescents with ADHD.

• Agricultural and Biosystems Engineering
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• v.7 no.1
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• pp.18-26
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• 2006

In-field site-specific nitrogen (N) management increases crop yield, reduces N application to minimize the risk of nitrate contamination of ground water, and thus reduces farming cost. Real-time N sensing and fertilization is required for efficient N management. An 'on-the-go' site-specific N management system was developed and evaluated for the supplemental N application to com (Zea mays L.). This real-time N sensing and fertilization system monitored and assessed N fertilization needs using a vision-based spectral sensor and controlled the appropriate variable N rate according to N deficiency level estimated from spectral signature of crop canopies. Sensor inputs included ambient illumination, camera parameters, and image histogram of three spectral regions (red, green, and near-infrared). The real-time sensor-based supplemental N treatment improved crop N status and increased yield over most plots. The largest yield increase was achieved in plots with low initial N treatment combined with supplemental variable-rate application. Yield data for plots where N was applied the latest in the season resulted in a reduced impact on supplemental N. For plots with no supplemental N application, yield increased gradually with initial N treatment, but any N application more than 101 kg/ha had minimal impact on yield.

• Korean Journal of Environmental Agriculture
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• v.29 no.1
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• pp.77-85
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• 2010

Reactive oxygen species (ROS) are very harmful to living organisms due to the potential oxidation of membrane lipids, DNA, proteins, and carbohydrates. transformed E.coli strain QC 871, superoxide dismutase (SOD) double-mutant, with three sequence variant MnSOD1, MnSOD2, and MnSOD3 manganese superoxide dismutase (MnSOD) gene isolated from wheat. Although all QC 871 transformants grown at $37^{\circ}C$ expressed mRNA of MnSOD variants, only MnSOD2 transformant had functional SOD activity. MnSOD3 expressed active protein when grown at $22^{\circ}C$, however, MnSOD1 did not express functional protein at any growing and induction conditions. The sequence comparison of the wheat MnSOD variants revealed that the only amino acid difference between the sequence MnSOD2 and sequences MnSOD1 and 3 is phenylalanine/serine at position 58 amino acid. We made MnSOD2S58F gene, which was made by altering the phenylalaine to serine at position 58 in MnSOD2. The expressed MnSOD2S58F protein had functional SOD activity, even at higher levels than the original MnSOD2 at all observed temperatures. These data suggest that amino acid variation can result in highly active forms of MnSOD and the MnSOD2S58F gene can be an ideal target used for transforming crops to increase tolerance to environmental stresses.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.7
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• pp.704-713
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• 2011

For many years, many pilots lost their lives and aircrafts due to GLOC(Gravity-induced Loss Of Consciousness). Due to the emergence of high-gravity maneuvering aircraft such as the F-16, F-15 and T-50, the automatic GLOC detection and recovery systems are necessary to increase the aircraft safeties even when the pilot loses his consciousness due to high-G maneuvering. This paper addresses the design of GLOC detection, warning and recovery algorithm based on a model of supersonic jet trainer. The system is solely controlled by the pilot's control input (i.e., control stick force) and aircraft status such as attitude, airspeed, altitude and so forth. And, moreover, it does not depend upon any pilot physiological condition. The test evaluation results show that the developed system supports the recovery of an aircraft from the unusual aircraft attitude and improves the aircraft safeties even when the pilot loses his consciousness due to high-G maneuvering.

• Journal of Biosystems Engineering
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• v.40 no.4
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• pp.417-427
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• 2015

Purpose: This study investigated different band selection methods to classify spectrally similar data - obtained from aerial images of healthy citrus canopies and citrus greening disease (Huanglongbing or HLB) infected canopies - using small differences without unmixing endmember components and therefore without the need for an endmember library. However, large number of hyperspectral bands has high redundancy which had to be reduced through band selection. The objective, therefore, was to first select the best set of bands and then detect citrus Huanglongbing infected canopies using these bands in aerial hyperspectral images. Methods: The forward feature selection algorithm (FFSA) was chosen for band selection. The selected bands were used for identifying HLB infected pixels using various classifiers such as K nearest neighbor (KNN), support vector machine (SVM), naïve Bayesian classifier (NBC), and generalized local discriminant bases (LDB). All bands were also utilized to compare results. Results: It was determined that a few well-chosen bands yielded much better results than when all bands were chosen, and brought the classification results on par with standard hyperspectral classification techniques such as spectral angle mapper (SAM) and mixture tuned matched filtering (MTMF). Median detection accuracies ranged from 66-80%, which showed great potential toward rapid detection of the disease. Conclusions: Among the methods investigated, a support vector machine classifier combined with the forward feature selection algorithm yielded the best results.

• Transactions of the Korean Society of Automotive Engineers
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• v.22 no.6
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• pp.59-67
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• 2014

A numerical model and a controller of Active Front wheel Steer (AFS) system are designed in this study. The AFS model consists of four sub models, and the AFS controller uses sliding mode control and PID control methods. To test this model and controller an Integrated Dynamics Control with Steering (IDCS) system is also designed. The IDCS system integrates an AFS system and an ARS (Active Rear wheel Steering) system. The AFS controller and IDCS controller are compared under several driving and road conditions. An 8 degree of freedom vehicle model is also employed to test the controllers. The results show that the model of AFS system shows good kinematic steering assistance function. Steering ratio varies depends on vehicle velocity between 12 and 24. Kinematic stabilization function also shows good performance because yaw rate of AFS vehicle tracks the reference yaw rate. IDCS shows improved responses compared to AFS because body side slip angle is also reduced. This result also proves that AFS system shows satisfactory result when it is integrated with another chassis system. On a split-m road, two controllers forced the vehicle to proceed straight ahead.

• International Journal of Aeronautical and Space Sciences
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• v.13 no.4
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• pp.468-473
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• 2012

Cost is an important aspect in designing a target drone, however the poor performance of low cost IMU, GPS, and microcontrollers prevents the use of complex algorithms, such as ARS, or INS/GPS to estimate attitude angles. We propose an autopilot which uses rate gyro and GPS only for a target drone to follow a prescribed path for anti-aircraft training. The autopilot consists of an altitude hold, roll hold, and path following controller. The altitude hold controller uses vertical speed output from a GPS to improve phugoid damping. The roll hold controller feeds back yaw rate after filtering the dutch roll oscillation to estimate the roll angle. The path following controller operates as an outer loop of the altitude and roll hold controllers. A 6-DOF simulation showed that the proposed autopilot guides the target drone to follow a prescribed path well from the view point of anti-aircraft gun training.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.933-936
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• 2006

비점오염원은 특정한 시설이나 장소를 나타내기 보다는 농지에 살포된 비료 및 농약, 대기오염물질 강하물, 축사에서의 유출물, 도로상에 쌓인 교통오염물질, 하수관거에서 유출되는 하수 등으로 강우시 빗물과 함께 유출되는 오염물질로 정의되며, 비점오염물질을 발생시키는 곳은 비점오염원으로 규정하고 있다. 비점오염원은 경제활동수준이 증가하고 토지이용이 고도화될수록 수질에 미치는 영향이 커지게 되며, 점오염원의 부하가 줄어들수록 비점오염원에 의한 부하비율은 증가하게 된다. 따라서 비점오염에 대한 체계적인 관리 없이 하천이나 호소 수질을 개선하는 데는 그 한계가 있다. 또한 체계적인 관리 이전에 적절한 비점오염원의 해석이 무엇보다도 중요하므로 본 연구에서는 적절한 비점오염원 모형 검토를 선행하였다. 가용 자료의 존재 여부 및 해석 시 사용하는 방정식 등을 고려하여 선정한 모형은 USDA-ARS(US Department of Agriculture-the Agricultural Research Service)에서 개발된 SWAT 모형으로 본 연구에 이용되었다. SWAT 모형에 이용되는 자료는 크게 유역자료, 강우자료, 기상자료, 검정에 이용되는 유량 및 오염물질 농도로 분류될 수 있다. 본 모형에 이용되는 광범위한 자료를 수집하여 해석을 수행하였다. 비점오염원 해석의 검보정을 위해 점오염원의 영향이 크지 않은 소유역 유출지점을 선정하여 해석하여 비교적 합리적인 결과를 도출하였다. 차후 연구에서 보다 합리적인 해석을 위해 데이터베이스의 재검토가 절실한 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1327-1331
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• 2009

SWAT(Soil and Water Assessment Tool)은 대규모의 복잡한 유역에서 장기간에 걸친 다양한 종류의 토양과 토지이용 및 토지관리 상태에 따른 물과 유사 및 농업화학물질의 거동이 토지관리방법에 미치는 영향을 예측하기 위해 미국 농무성 농업연구소(USDA Agricultural Research Service, ARS)의 Jeff Arnold에 의해 1990년대 초에 개발된 유역모델이며, 최근에는 SWAT2005 모형이 개발되었다. SWAT 모형은 SWAT2000 모형을 구동하기 위한 ArcView 3.2a 기반의 인터페이스 시스템이 널리 이용되어 왔으나, 최근에는 SWAT2005 모형과 ArcGIS를 연계 운영하기 위한 ArcSWAT(Winchell et al, 2008)이 개발된 바 있다. 국내에서는 GIS와 데이터베이스를 기반으로 SWAT2000 모형의 구동 및 입출력 자료의 관리 등을 효과적으로 수행할 수 있는 SWAT2000 모형과 HyGIS(Hydro Geographic Information System)를 연계시스템인 HyGIS-SWAT(김경탁과 최윤석, 2006)이 개발된 바 있다. 본 연구에서는 최근 들어 SWAT2005 모형의 활용성이 높아짐에 따라 HyGIS와 SWAT2005 모형의 연계시스템을 개발하고자 하며, 이를 통해서 SWAT2005 모형 구동의 효율성과 편의성을 증대시킬 뿐만 아니라, 개선된 SWAT2005 모형으로 기존의 HyGIS-SWAT을 개선하고자 한다.