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Selective B cell activation by polysaccharide isolated from the root of Acanthopanax koreanum

  • Han, Sang-Bae;Ahn, Hyo-Jung;Yoon, Yeo-Dae;Kim, Young-Ho;Lee, Jung-Joon;Moon, Jae-Sun;Lee, Chang-Woo;Lee, Ki-Hoon;Park, Song-Kyu;Kim, Hyung-Chin;Kim, Hwan-Mook
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.257.1-257.1
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    • 2002

  • Many polysaccharides isolated from plants have been shown to enhance various immune responses in vivo and in vitro. Here we demonstrate that polysaccharide isolated from the root of Acanthopanax koreanum (AK) has a unique mode of immunostimulation with regard to its cell-type specificity. AK was found to markedly increase polyclonal 1gM antibody production and the proliferation of B cells. (omitted)

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A study on age estimation of facial images using various CNNs (Convolutional Neural Networks) (다양한 CNN 모델을 이용한 얼굴 영상의 나이 인식 연구)

  • Sung Eun Choi
    • Journal of Platform Technology
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    • v.11 no.5
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    • pp.16-22
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    • 2023

  • There is a growing interest in facial age estimation because many applications require age estimation techniques from facial images. In order to estimate the exact age of a face, a technique for extracting aging features from a face image and classifying the age according to the extracted features is required. Recently, the performance of various CNN-based deep learning models has been greatly improved in the image recognition field, and various CNN-based deep learning models are being used to improve performance in the field of facial age estimation. In this paper, age estimation performance was compared by learning facial features based on various CNN-based models such as AlexNet, VGG-16, VGG-19, ResNet-18, ResNet-34, ResNet-50, ResNet-101, ResNet-152. As a result of experiment, it was confirmed that the performance of the facial age estimation models using ResNet-34 was the best.

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