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성인의 발화 수준에 따른 유아의 영상 내용 이해와 우연적 단어학습의 차이
박상아,최나야 인지발달중재학회 2024 인지발달중재학회지 Vol.15 No.1
Objective: This study aimed to investigate whether there was a difference in comprehension of the content and acquisition of incidental word learning while watching a video according to different adult’s utterance levels. Methods: A total of 100 participants of 4-year-old were randomly assigned to one of three groups: the high-involvement utterance group, low-involvement utterance group, and no utterance group. The experimenter provided the children pre-scripted utterances in each group. After watching each video, tasks were provided to measure extent of the children’s comprehension of video content and the number of novel words that appeared in the video. Results: There was a significant difference in comprehension of video content and the average number of incidental word learning in each group depending on the adult speech. Specifically, between the high involvement utterance group and the low involvement utterance group, the high involvement utterance group and no utterance group. In other words, high utterance group statistically showed better performance in the tasks compared to other two groups. Conclusions: Adults’ conscious utterances plays a positive role in supporting children’s language and cognitive development by offering clues to enhance their comprehension and directing their attention to novel vocabulary.
Neutrophil Extravasation Cascade: What Can We Learn from Two-photon Intravital Imaging?
박상아,현영민 대한면역학회 2016 Immune Network Vol.16 No.6
Immune cells (leukocytes or white blood cells) move actively and sensitively based on body conditions. Despite their important role as protectors inside the body, it is difficult to directly observe the spatiotemporal momentum of leukocytes. With advances in imaging technology, the introduction of two-photon microscopy has enabled researchers to look deeper inside tissues in a three-dimensional manner. In observations of immune cell movement along the blood vessel, vascular permeability and innate immune cell movements remain unclear. Here, we describe the neutrophil extravasation cascade, which were observed using a two-photon intravital imaging technique. We also provide evidence for novel mechanisms such as neutrophil body extension and microparticle formation as well as their biological roles during migration.
3축 가속도 센서 스트림에 대한 유한차분 및 합성곱 신경망 기반의 뇌전증 발작 감지 기법
박상아,오소연,이민수 한국정보과학회 2021 데이타베이스 연구 Vol.37 No.1
Epilepsy is a chronic brain disease causing repetitive seizures. Epileptic seizures occur irregularly and are emergency situations that can lead to brain damage or even death if happen continuously. Therefore, real-time detection of epileptic seizures is important for rapid treatment. However, due to some technical limitations like sensitivity of sensors, it is difficult to accurately measure EEG even in hospitals. Also, it is even more difficult to commercialize wearable devices. Therefore, human activity recognition on 3-axis accelerometer streams is a realistic alternative for real-time detection of epileptic seizures. In this paper, we propose a epileptic seizure detection method based on finite difference and CNN for 3-axis accelerometer streams measured from smart devices. The proposed method considers the medical characteristics of epileptic seizures to calculate the finite difference of each axis, and carries out multivariate analysis based on CNN to integratively consider the relationship between rate of changes of each. Our experiments show that our method can detect the epileptic seizures with a probability of more than 99% from 17 types of daily activities including repetitive activities in short cycles being thought to be similar to epileptic seizures such as brushing teeth and sawing besides typical movements like walking or running. 뇌전증은 발작을 동반하는 만성 뇌질환이다. 뇌전증 발작 감지에는 일반적으로 뇌파를 활용한다. 뇌전증 발작은 불규칙한 시점에 발생하며, 지속적일 경우 뇌손상 또는 사망에 이를 수 있는 응급 상황이다. 따라서 신속한 대처를 위한 일상생활 중 뇌전증 발작의 실시간 감지가 중요하다. 그러나 센서 민감도와 같은 기술적 한계로 인하여, 현재까지는 전문 장비를 갖춘 병원에서조차 정확한 뇌파의 측정이 어렵다. 또한, 실시간으로 뇌파를 측정할 수 있는 웨어러블 기기로의 상용화는 더욱 어려운 상황이다. 따라서 3축 가속도 센서 스트림 기반 동작 인식은 일상생활 중 실시간 뇌전증 발작 감지를 위한 현실적인 대안이다. 본 논문에서는 스마트폰, 스마트워치 등에 내장된 3축 가속도 센서 데이터에 대한 유한차분 및 합성곱 신경망 기반의 뇌전증 발작 감지 기법을 제안한다. 제안하는 기법은 뇌전증 발작의 의학적 특성에 근거하여, 유한차분을 통해 각 축 값의 변화율을 구하고, 합성곱 신경망 기반의 다변량 분석을 수행하여 각 축 값 변화율 간의 관계를 통합적으로 고려한다. 제안하는 기법은 걷기, 뛰기와 같은 대표 동작 외에도 양치질, 톱질 등 뇌전증 발작과 유사한 짧은 주기의 반복 동작을 포함한 17가지 일상 상황들로부터 99% 이상의 확률로 뇌전증 발작을 감지할 수 있음을 실험을 통해 확인하였다.
방풍통성산의 비만에 대한 약리학적 고찰 - 일본의 연구를 중심으로 -
박상아,방극수,장영남,이정호,이종현,진종식,Park, Sang-Ah,Bang, Keuk-Soo,Chang, Young-Nam,Lee, Jeong-Ho,Lee, Jong-Hyun,Jin, Jong-Sik 대한한의학방제학회 2014 大韓韓醫學方劑學會誌 Vol.22 No.2
Objectives : Excessive nutrition intake and lack of physical activity induce obesity through accumulation of fat in human body. The obesity have been categorized as a disease and known to cause several chronic diseases and cancers. In Japan, Bangpungtongsung-san has been applied as one of the therapies of the obesity and it's pharmacological uses have been studied for a long time. The purpose of this study is reviewing researches of Bangpungtongsung-san related to the obesity. Methods : By searching with the keyword of "Bangpungtongsung-san" or related words such as "Bofutsushosan" and 'TJ-62" from PubMed and off-line libraries, many reports were gathered and reviewed from the perspective of the obesity. Results and Conclusions : It has become evident by reviewing the reports that Bangpungtongsung-san is useful as a therapy of the obesity though some case reports showed side effects. Also, the mechanisms of Bangpungtongsung-san on obesity were reviewed and suggested.
스마트폰 카메라 기반 아동 교육용 산수 블록 인식 애플리케이션 개발
박상아,오지원,홍인식,남윤영 한국인터넷정보학회 2019 인터넷정보학회논문지 Vol.20 No.4
Currently, information society is rapidly changing and demands innovation and creativity in various fields. Therefore, the importance of mathematics, which can be the basis of creativity and logic, is emphasized. The purpose of this paper is to develop a math education application that can further expand the logical thinking of mathematics and allow voluntary learning to occur through the use of readily available teaching aid for children to form motivation and interest in learning. This paper provides math education applications using a smartphone and blocks for children. The main function of the application is to shoot with the camera and show the calculated values. When a child uses a block to make a formula and shoots a block using a camera, you can directly see the calculated value of your formula. The preprocessing process, text extraction, and character recognition of the photographed images have been implemented using OpenCV libraries and Tesseract-OCR libraries. 현재 정보사회는 빠르게 격변하며 다양한 분야에서 혁신과 창의성을 요구하고 있으며 논리적 사고의 근간이 될 수 있는 수학의중요성이 강조되고 있다. 본 논문의 목적은 아동들에게 수학 학습에 대한 동기와 흥미를 유발하기 위해 아동들이 손쉽게 사용할 수있는 교구를 이용하여 수학영역의 논리적인 사고가 더욱 확장되고 자발적 학습이 일어날 수 있는 수학교육 애플리케이션을 개발하는 것이다. 본 논문에서는 스마트 기기와 블록을 이용하여 수학 교육 애플리케이션을 설계하고 구현하였다. 애플리케이션의 주 기능은 카메라를 이용한 촬영과 수식 계산 값 확인이다. 아동이 산수 교육용 블록을 이용해 수식을 만든 뒤 카메라를 이용하여 블록을촬영하면 자신이 만든 수식의 계산 값을 직접 확인할 수 있다. 촬영한 이미지의 전 처리 과정과 텍스트 추출, 문자인식은 OpenCV 라이브러리와 Tesseract-OCR 라이브러리로 구현하였다