Background: The muscles associated with tension-type headache (TTH) are connected to the scalp fascia, which is firmly attached to the superciliary ridge of the frontal bone. However, there is a paucity of data on treatments for TTH that directly target the scalp fasciae. Objectives: We aimed to validate a new manual therapy to treat TTH by applying myofascial relaxation techniques to the scalp and to examine the changes in quality of life and headache characteristics after treatment. Design: pretest-posttest control group design study. Methods: Total 24 participants with TTH (10 males, 14 females) participated in the study. Manual therapy group (MT) received standard manual therapy and scalp myofascial release technique group (SMT) received scalp myofascial release technique twice per week for 4 weeks. Brief Pain Inventory (BPI) and Headache Impact Test (HIT) for quality of life, headache frequency, duration, and Visual Analog Scale (VAS) for intensity were assessed at the pre- and post-treatment. Results: There was a significant improvement within groups in headache frequency (MT P<.05, SMT P<.001), duration (MT P<.05, SMT P<.01), VAS (MT P<.01, SMT P<.001), HIT (MT P<.001, SMT P<.001), and BPI (MT P<.001, SMT P<.001) between the pre- and post-treatment. Group differences were significant for headache duration (P=.027), but the others were not. MT and SMT reduced the impact of headaches on daily life. Also Headache frequency, duration, intensity, and BPI were improved. Conclusion: MT and SMT reduced the impact of headaches on daily life. Also Headache frequency, duration, intensity, and BPI were improved. It has been suggested that both MT and SMT can be used as a non-invasive treatment to treat the TTH, and to improve the quality of life.

The buffer is a critical barrier component in an engineered barrier system, and its purpose is to prevent potential radionuclides from leaking out from a damaged canister by filling the void in the repository. No experimental parameters exist that can describe the buffer expansion phenomenon when Kyeongju bentonite, which is a buffer candidate material available in Korea, is exposed to groundwater. As conventional experiments to determine these parameters are time consuming and complicated, simple swelling pressure tests, numerical modeling, and machine learning are used in this study to obtain the parameters required to establish a numerical model that can simulate swelling. Swelling tests conducted using Kyeongju bentonite are emulated using the COMSOL Multiphysics numerical analysis tool. Relationships between the swelling phenomenon and mechanical parameters are determined via an artificial neural network. Subsequently, by inputting the swelling tests results into the network, the values for the mechanical parameters of Kyeongju bentonite are obtained. Sensitivity analysis is performed to identify the influential parameters. Results of the numerical analysis based on the identified mechanical parameters are consistent with the experimental values.

병렬영상기법인 SENSE 기법은 슬관절 자기공명영상의 검사 시간을 획기적으로 단축할 수 있다. 그러나 기법 적용 시 SENSE factor를 증가시키면 영상에 인공물의 발생이 증가하는 문제점이 있어 개선을 위해 본 연구에서는 최소의 시간이 소요되면서 인공물이 발생하지 않는 최적의 SENSE factor를 제시하고자 하였다. 연구 방법은 SENSE factor 1.0을 기준 으로 0.5 간격씩 5.0까지 변화시켜 팬텀 실험과 임상실험을 시행하였다. 3.0T 초전도 자기공명영상장치와 dS Knee 코일 을 사용하여 T1, T2 강조영상을 획득하였으며, 영상의 비교평가는 임상 경력 10년 이상의 방사선사 10명이 5점 척도로 평가한 후, 일원배치 분산분석과 사후분석을 통해 유의한 차이가 있는지 판단하였다. 연구 결과 팬텀 실험은 T1, T2 강조 영상 모두 SENSE factor를 1.5 이하로 하였을 때 기준 영상과 차이가 없었으며, 임상실험은 SENSE factor를 2.0 이하로 하였을 때 기준 영상과 차이가 없었다. 결론적으로 슬관절 자기공명영상 시 검사 시간을 단축하면서 인공물이 발생하지 않는 최적의 SENSE factor는 팬텀 실험의 경우 1.5, 임상실험의 경우 2.0이 적정하리라 사료된다.

이 연구의 목적은 커피점문점의 공간적 경쟁구도 및 입지우위를 미시적인 공간 해상도에서 탐색하 는 것이다. 분석지역은 인천광역시이며, 분석연도는 2018년이다. 분석방법으로는 공간 빅데이터 기반 의 i2SFCA(Inverted Two-Step Floating Catchment Area)와 Contour Tree 기법을 활용하였다. 분 석결과, 개별 커피전문점의 입지 효율성은 큰 편차를 드러냈으며, 연수3동, 선학동, 도원동 등의 순으 로 우수하였다. 또한, 공시지가가 높은 곳에 입지한 커피전문점 간의 출혈경쟁을 확인할 수 있었다. 마지막으로 역세권이 아닌 지역에서도 커피전문점의 입지 효율성이 높은 지역, 이른바 틈새 지역 (niche region)을 확인할 수 있었다. 커피전문점의 소비행태에 관한 빅데이터의 활용 제약은 본 연구 의 한계와 직결되므로, 소비행태 빅데이터 기반으로 커피전문점의 입지 문제 정교하게 다루는 후속연 구가 필요하다.

컴퓨터 성능의 발전으로 빅데이터의 효율적인 사용이 가능해지면서, 심층 학습(deep learning)은 다양한 의료 분야에 활용할 수 있는 핵심적인 인공지능(artificial intelligence, AI) 기법으로 각광받고 있다. 이에 본 종설은 뇌종양 진단과 치료에 사용되는 자기공명영상(magnetic resonance imaging, MRI)의 심층 학습 기법을 소개하고자 하였다. 먼저 국내 AI의 의료 분야 도입의 동향을 분석하고, 이를 바탕으로 MRI를 활용한 뇌종양의 진단과 치료에 적용할 수 있는 심층 학습 기법과 그 결과들을 기술하였다. 뇌종양 진단과 치료 시, 심층 학습을 이용한 최근 사례는 영상 분류, 영상 품질 개선, 영상 분할로 나타났으며, 질병의 진단과 치료에 적용할 수 있는 객관적이고 높은 성능 수치를 나타내면서 그 유용성을 확인 할 수 있었다. 종합하자면, 심층 학습은 질병의 진단과 치료에 적용할 수 있는 유용한 지표이며, AI 역량을 지닌 의료진의 지도하에 점진적인 도입이 이뤄진다면 질병의 진단과 치료에 큰 도움을 주는 훌륭한 소프트웨어로 활용될 것으로 여겨진다. 본 종설이 심층 학습을 이해할 때 많은 도움이 되길 바라며, 향후 관련 연구를 수행할 때 가이드라인으로 활용될 것을 기대 한다.

동아시아의 ‘본류’에서 글로벌 차원으로 ‘지류’가 확장된 한류(Korean Wave)는 시기별, 권역별, 그리고 내용에 따라 발전 단계를 구분할 수 있 다. 한류의 발전 단계를 모두 4기(신한류 포함)로 구분한 유형 분류 틀에 따르면 본 연구의 대상 지역인 중남미권을 위시로 하는 非아시아권은 모 두 2000년대 후반 이후인 한류 2기에 속한다. 특히, 2020년 이후를 신 한류(K-culture)로 지칭되며 이 4기의 특징은 한류의 1기의 대표 콘텐츠 인 K-drama를 필두로, K-pop, K-movie, K-food, K-game 등 ‘K(S)’ 마크를 장착한 다양한 콘텐츠를 가지고 있는 토탈 브랜드(Total Brand) 형태로 진화했다. 기존의 연구물을 바탕으로 본고는 기존의 한류관련 연 구에 방법론적 차별화를 통해 對 중남미 한류 현상의 고찰을 목적으로 한다. 특히 본고는 중남미지역의 한류는 기존의 한류 발전 단계에 부합 하는가? 에 대한 연구 질문을 던지며, R 프로그램을 활용하여 워드 클라 우드(Word Cloud) 기법을 이용한 K-콘텐츠 관련 빅데이터 분석을 한 다. 텍스트 마이닝을 통한 빈도분석에 따르면 중남미 한류 태동기인 2010년 K-pop이 주요 ‘동력’이었으며 10년이 지난 현재도 K-pop의 비 중이 여전히 높다는 결과가 도출되었다. 따라서, 중남미지역은 한류 태동 기의 양상에서 크게 성장 및 확대되었다고 보기에는 다소 미흡하다. 즉 중남미지역의 한류는 K-contents의 다양화이기 보다는 K-pop과 관련된 음악 장르의 확산과 고착화의 양상으로 볼 수 있다.

The effect of motion taping on the grasping power of the wrist is investigated and here Based on the data obtained from the This study was conducted to provide a theoretical background for the study. Motion taping was performed on the wrist for middle-aged people between 50s and 60s, and the change in wrist gripping power through an electronic dynamometer was tested. According to the wrist grip test results, it was investigated that the application of motion taping has a great effect on the gripping power of the wrist. It is hoped that motion taping will be a tool to reduce musculoskeletal industrial accidents, and it will be helpful to improve the quality of life of workers by reducing the labor intensity or softening the wrist through motion taping.

In preparation of porous carbon materials microwave oven brightening is one of the warming modes used ever. The various procedures that take place in microwave combustion process include carbonization, incitation, and recovery and thus carbon is defined. This paper compares ideal conditions of traditional warming methods, as well as their implementation potential, losses, and specifications. This porous carbon with heat treatment possesses various properties and they are well suited for energy applications which require constrained space such as hydrogen storage in solid-state and supercapacitors. The enhanced properties are chemical and thermal stability, ready availability, low framework density and ease of processability. The recent trend in class of porous carbons is Activated Carbons that are employed traditionally as adsorbents or catalyst supporters but currently, they found potent applications in fabricating for hydrogen storage materials and supercapacitors. These activated carbons are much enhanced form in class of porous carbon materials and they possess the capability to enable hydrogen economy, where the energy carrier is hydrogen. Therefore, the utility of activated carbons as a source for energy storage experiences a rapid growth at current trend and they possess significant advances. This investigation is based on detailed cost development data and electrical imperativeness applications.

The purpose of this study is to understand the concept of zero-waste design and to apply Sophia Vyzoviti’s folding techniques to develop a zero-waste fashion design method that contributes to sustainable fashion design. In this study, we explore the method and characteristics of zero-waste fashion design based on the concept of folding described in Sophia Vyzoviti’s book on folding techniques. Using the autonomy of Sophia Vyzoviti’s folding technique, four changeable folding fashion designs were developed and produced, demonstrating zero-waste fashion design. The results were as follows. First, the development of fashion designs using Sophia Vyzoviti’s folding techniques enabled the development and production of free and creative zero-waste fashion designs that were three-dimensional, continuous, fluid, and full of potential. Second, the production of zero-waste patterns was further developed into a transformable fashion design that can be used with geometric patterns. These folding techniques produced a fashion design method that could transform one piece of clothing, demonstration the potential for maintenance of creativity using a zero-waste design based on these folding techniques. Third, the double-faced fabric, Neoprene, was chosen as an appropriate material as it emphasizes the depth of folding with application of two colors and its cotton/polyester blend that is suitable for folding.

Polarimetric measurements of the lunar surface from lunar orbit soon will be available via Wide-Field Polarimetric Camera (PolCam) onboard the Korea Pathfinder Lunar Orbiter (KPLO), which is planned to be launched in mid 2022. To provide calibration data for the PolCam, we are conducting speckle polarimetric measurements of the nearside of the Moon from the Earth’s ground. It appears that speckle imaging of the Moon for scientific purposes has not been attempted before, and there is need for a procedure to create a “lucky image” from a number of observed speckle images. As a first step of obtaining calibration data for the PolCam from the ground, we search for the best sharpness measure for lunar surfaces. We then calculate the minimum number of speckle images and the number of images to be shift-and-added for higher resolution (sharpness) and signal-to-noise ratio.

The study was aimed to investigate the operational meal costs by kindergarten size in Seoul and to analyze recognition for optimal meal prices. A survey (31.6% recovery rate) was conducted on all kindergartens (779 kindergartens) in Seoul on April 2021 using descriptive analysis, t-test, and dispersion method. A price sensitivity measurement (psm) method was used to determine optimal meal prices. Result showed an average food cost for kindergartens of 2,647 won, an average labor cost of 605 won, an average operating cost of 146 won, and the total meal cost of 3,506 won. Total meal cost decreased with increasing kindergarten size (p<0.001). On the other hand, kindergartens with more students decreased the ratio of food cost to total meal cost, and operating cost and labor costs (p<0.001) increased. The optimal price of kindergarten operators' meal cost (OPP) was KRW 3,673. Furthermore, the analysis showed the sensitivity of operators' meal costs to kindergarten size was insignificant.

In this study, we propose a flow velocity evaluation scheme based on pressure measurement in pressurized pipeline systems. Conservation of mass and momentum equations can be decomposed into mean and perturbation of pressure head and flowrate, which provide the pressure head and flowrate relationship between upstream and donwstream point in pressurized pipeline system. The inverse impedance formulations were derived to address measured pressure at downstream to evaluation of flow velocity or pressure at any point of system. The convolution of response function to pressure head in downstream valve provides the flow velocity response in any point of the simple pipeline system. Simulation comparison between traditional method of characteristics and the proposed method provide good agreements between two distinct approaches.

본 연구에서는 액체감쇠역전회복(FLAIR) 시퀀스를 대체하였던 방법 중에 비교적 간단하면서 높은 재현성을 나타내었던 고신호 강도제거 원리를 MAGiC에 적용하여 MAGiC-FLAIR와 기존의 고속스핀에코-FLAIR 영상과 비교하여 고신호 강 도제거영상의 유용성과 임상적으로 유의미한 기준을 제시하고자 하였다. 연구방법은 MAGiC 적용 후 MAGiC-FLAIR와 MAGiC-고신호 강도제거 영상을 재구성하여, 기존의 고속스핀에코-FLAIR 영상과 각각 정성적, 정량적 평가를 비교하였 다. 정성평가결과 MAGiC-고신호 강도제거는 MAGiC-FLAIR 보다는 월등히 우수하며, 고속스핀에코-FLAIR와 유사한 결과를 보였고, 정량평가결과 MAGiC-고신호강도제거는 MAGiC-FLAIR보다 백질과 회백질 대조도는 더 우수할 뿐만 아 니라, 뇌척수액의 신호 억제도 우수한 결과를 나타냈다. Synthetic 영상을 통하여 획득한 다양한 대조도 영상 중 FLAIR의 부정확도를 고신호 강도제거기법을 적용한다면 진단적 가치를 개선하여 제공할 수 있을 것이다.

본 연구는 고속스핀에코 기법을 이용한 MRI 검사에서 영상 변수가 전자파 흡수율(SAR)과 온도 증가에 미치는 영향을 평가해 보고자 하였다. 이를 위해 인체 등가 조직 팬텀을 제작하였고 같은 조건에서 재위상화 RF의 FA와 ETL을 증가시키 며 MRI 검사를 시행하였다. SAR는 장비에서 계산된 두부 SAR값을 사용하였고 팬텀의 온도 변화는 양성자 공명 주파수를 이용해 계산하였다. 실험 결과, FA를 60°에서 180°까지 증가시켰을 때 SAR는 약 8배까지 상승하였고 팬텀의 온도 상승의 폭은 약 2.8배(0.21°-0.599°) 증가하였다. 그리고 다중 회귀 분석 결과, FA는 SAR와 온도 상승의 관계에서 표준화 계수 가 각각 0.935, 0.741로 나타나 높은 상관관계를 보였다. ETL은 15에서 30까지 증가시켰을 때 SAR는 약 2배 증가하였 다. 하지만 팬텀의 온도 상승 폭은 오히려 39.2%(0.53°-0.303°) 감소하였다. 다중 회귀 분석 결과에서도 ETL은 SAR의 관계에서 표준화 계수가 0.741로 양의 상관관계를 보였지만 온도 상승의 경우 표준화 계수가 –0.482로 나타나 음의 상관 관계가 있었다. 이는 ETL이 15에서 30까지 증가함에 따라 검사 시간이 약 43% 짧아져 전자파의 노출 시간이 감소한 것이 원인이 될 수 있다. 결국, FSE 기법을 이용한 MRI 검사에서는 재위상화 FA는 최소화하고 기준 SAR 범위 내에서 ETL을 최대로 적용하면 전자파로 인한 온도 상승을 최소화할 수 있어 환자 안전을 증진 시킬 수 있을 것으로 기대한다.

본 논문은 딥러닝 알고리즘을 이용하여 딸기 영상 데이터의 병충해 존재 여부를 자동으로 검출할 수 있는 서비스 모델을 제안한다. 또한 병징에 특화된 분할 이미지 데이터 세트를 제 안하여 딥러닝 모델의 병충해 검출 성능을 향상한다. 딥러닝모델은 CNN 기반 YOLO를 선정하여 기존의 R-CNN 기반 모델의 느린 학습속도와 추론속도를 개선하였다. 병충해 검 출 모델을 학습하기 위해 일반적인 데이터 세트와 제안하는 분할 이미지 데이터 세트를 구축하였다. 딥러닝 모델이 일반 적인 학습 데이터 세트를 학습했을 때 병충해 검출률은 81.35%이며 병충해 검출 신뢰도는 73.35%이다. 반면 딥러닝 모델이 분할 이미지 학습 데이터 세트를 학습했을 때 병충해 검출률은 91.93%이며 병충해 검출 신뢰도는 83.41%이다. 따 라서 분할 이미지 데이터를 학습한 딥러닝 모델의 성능이 우 수하다는 것을 증명할 수 있었다.

Large-area graphene of the order of centimeters was deposited on copper substrates by low-pressure chemical vapor deposition (LPCVD) using hexane as the carbon source. The effect of temperature and the carrier gas flowrates on the quality and uniformity of the as-deposited graphene was investigated using the Raman analysis. The film deposited at 870 °C with a total carrier gas flowrate of 50 sccm is predominantly single-layer with very low defects according to the Raman spectra. The 2D/G peak intensity ratios obtained from the Raman spectra of samples from three different locations of graphene deposited on a whole copper catalyst was used to calculate the large-area uniformity. Based on the results, a very high uniformity of 89.6% was calculated for the graphene deposited at 870 °C. The uniformity was observed to decrease with increasing temperature. Similar to the thickness uniformity, the electrical conductivity values obtained as a result of I–V measurements and water contact angle measurements were found to be close to each other for the graphene deposited under the same deposition conditions.

For spent nuclear fuel transferred to dry storage facilities, it is difficult to apply safeguards approaches and long-term integrity verification due to the structural characteristics of the facility. There is a need to check the integrity of the nuclear fuel assembly before transferring it to a dry storage facility and are need to provide information on whether there are any defects. At the Korea Institute of Nuclear Nonproliferation and Control, as a non-destructive testing technology for ensuring Continuity of Knowledge (CoK) of the dry storage facilities, a methodology for reconstructing images by neutron tomographic technique from spent nuclear fuel using a He-4 gas scintillation detector was presented. It is thought that the He-4 gas scintillation detector-based technology can be used to verify the defect of the nuclear fuel assembly. This methodology must be accompanied by accurate neutron measurements. The place where the technique was conducted is surrounded by a concrete wall. Concrete contains water molecules, which can affect neutron measurements. In this study, reconstruction images based on neutron measurements and MCNP simulations are compared to verify the effects of the concrete. Neutron measurements were performed by measuring Cf-252 neutron sources in a 1/10 lab-scale TN- 32 cask with six He-4 gas scintillation detectors as an array. Neutron sources are fixed at each point in the cask, and the He-4 detector array is rotated from 0° to 360° at 10° intervals to reconstruct the image using the filtered back-projection (FBP) method. Also, in MCNP reconstructed images, there are two versions depending on whether concrete wall. The source image and ring shape were found in the measurement-based thermal neutron reconstruction image, which was similar to the simulation image that considering the concrete effects. On the other hand, in the simulation reconstruction image without the concrete, only the shape of the source was found. Thus, the effect of concrete should be considered when performing the neutron tomographic techniques using He-4 gas scintillation detectors.

In this study, a drop analysis of metallic disposal containers for radioactive wastes is performed according to accident scenarios at the disposal site. The weight of the disposal container is about 8 tons, and the ingot-type wastes are loaded in the disposal container. To simulate the floor of the disposal site as the impact target, the reinforced concrete pad is modeled. High impact energy of the disposal container due to their heavy weight and high drop height causes excessive deformation and failure of the concrete target having relatively weak strength. Dynamic growth of cracks due to such failures causes penetration and delamination of concrete. Since the impact force delivered to the container strongly depends on the failure of the concrete pad, it is important to properly simulate the failure of the concrete in the drop analysis. A material erosion method can be used to simulate the concrete failure. In the case of applying erosion based on the finite element method (FEM), the element is deleted when the element exceeds a certain criterion, which causes material and energy loss problem. To solve this problem, mesh-free methods such as smoothed particle hydrodynamics (SPH) can be commonly used, but the mesh-free method has the disadvantage of incurring high numerical cost. Therefore, an adaptive method combining SPH and FEM-based SOLID elements is used for concrete target modeling to simulate excessive deformation and failure of the concrete target. In the adaptive coupling method of SPH and SOLID, the concrete target is first modeled as a solid element. When the damage of concrete exceeds the failure criterion, the solid element is eroded and the SPH element replacing the solid element is activated. Since the activated SPH element continues to participate in the impact, the problem of loss of materials and energy can be effectively solved. In this way, analysis results consistent with actual physical phenomena can be obtained.

Waste that contains or is contaminated with radionuclides arises from a number of activities involving the use of radioactive material. Such activities include the operation and decommissioning of nuclear facilities; the use of radionuclides in medicine, industry, agriculture, research and education. Radioactive waste must be safely disposed in a radioactive waste repository for the protection of public health and the environment. In order to safely dispose of radioactive waste in a repository, it is important to derive an optimal predisposal management scenario because radioactive waste must be processed (i.e. processing (pretreatment, treatment and conditioning), storage and transport) for satisfying waste acceptance criteria (WAC). Optimal scenario of predisposal management of radioactive waste is derived for considering the balancing of exposures of workers and/or those of members of the public, the short term and long term risk implications of different waste management strategies, the technological options available and the costs. However, existing studies for deriving the optimal scenario of predisposal management of radioactive waste have evaluated only the radiation dose of workers and public within given scenarios using fixed value, or have derived optimal single process (i.e. decontamination) of predisposal management using Multi-Attribute Decision Making (MADM) methodology. In this study, optimal predisposal management scenario is derived by evaluating exposures of workers using system dynamics (SD) technique. Radiation dose assessment SD model was modeled using VENSIM® code developed by VENTANA systems Inc.. SD Model has the advantage of being able to respond flexibly when decision makers want to change input data and it has the advantage of being able to track dynamically changing phenomena and visually confirm interdependence. After that, based on the SD model derived from this study, evaluations of exposures of public, cost, and technicality will be added to be utilized when establishing an optimal scenario of predisposal management of radioactive waste considering multi attribute.