• 제목/요약/키워드: Multi-role

검색결과 1,372건 처리시간 0.03초

Global Histidine Phosphoproteomics in Human Prostate Cancer Cells

  • Gao, Yan;Kim, Doeun;Sung, Eunji;Tan, Minjia;Kwon, Tae Gyun;Lee, Jun Nyung;Lee, Sangkyu
    • Mass Spectrometry Letters
    • /
    • 제11권3호
    • /
    • pp.52-58
    • /
    • 2020
  • Histidine phosphorylation (pHis) is increasingly recognized as an important post translational modification (PTM) in regulating cellular functions in eukaryotes. In order to clarify the role of pHis in mammalian cell signaling system, a global phosphorylation study was performed in human prostate cancer cells, PC-3M, using a TiO2 affinity chromatography. A total number of 307 pHis sites were identified on the 268 proteins among total identified 9,924 phosphorylation sites on 3,316 proteins. In addition, 22 pHis proteins were classified in enzyme category. This report provides the first database for the study of pHis in prostate cancer cells.

다차원 평가결과 분석 시스템의 설계 및 구현 ((Design and Implementation of Multi-dimensional Evaluation Result Analyzing System))

  • 백장현;장세희;김도윤;김영식
    • 한국컴퓨터산업학회논문지
    • /
    • 제3권8호
    • /
    • pp.1007-1018
    • /
    • 2002
  • 평가결과에 대한 과학적이고 다차원적인 분석은 학습자, 교수자에게 중요한 정보를 제공해 주는 역할을 한다. 기존의 평가관련 연구들이 평가도구 개발에 치우친 경향이 있고, 평가결과에 대한 분석은 단편적이고 일차원적인 분석이 대부분이었다. 본 연구에서는 평가결과를 다차원적으로 분석함으로써, 질 높은 교수학습이 이루어질 수 있도록 학습자 및 교수자에게 다양한 정보를 제공해 주는 데 목적을 두고 개발되었다. 차원은 기간, 학생, 평가영역, 난이도, 점수의 5차원으로 분류하였다. 분석결과는 Dcube. 그래프, 스프레드시트 등의 다양한 형태로 제공된다.

  • PDF

다중 모달 생체신호를 이용한 딥러닝 기반 감정 분류 (Deep Learning based Emotion Classification using Multi Modal Bio-signals)

  • 이지은;유선국
    • 한국멀티미디어학회논문지
    • /
    • 제23권2호
    • /
    • pp.146-154
    • /
    • 2020
  • Negative emotion causes stress and lack of attention concentration. The classification of negative emotion is important to recognize risk factors. To classify emotion status, various methods such as questionnaires and interview are used and it could be changed by personal thinking. To solve the problem, we acquire multi modal bio-signals such as electrocardiogram (ECG), skin temperature (ST), galvanic skin response (GSR) and extract features. The neural network (NN), the deep neural network (DNN), and the deep belief network (DBN) is designed using the multi modal bio-signals to analyze emotion status. As a result, the DBN based on features extracted from ECG, ST and GSR shows the highest accuracy (93.8%). It is 5.7% higher than compared to the NN and 1.4% higher than compared to the DNN. It shows 12.2% higher accuracy than using only single bio-signal (GSR). The multi modal bio-signal acquisition and the deep learning classifier play an important role to classify emotion.

폴리머 현수애자의 복합가속열화 평가기술 (Multi-Stress Aging Test Technology for Suspension Polymer Insulator)

  • 박효열;강동필;김익수;신영준
    • 한국전기전자재료학회:학술대회논문집
    • /
    • 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.1
    • /
    • pp.481-484
    • /
    • 2003
  • Recently polymer insulators are being used for outdoor high voltage applications. Polymer insulators have significant advantages over porcelain and glass insulators. With the gradual improvement of their design and material, their reliability has also increased. It is however difficult to establish how they will perform after several years of service. Aging of the insulator weathershed may lead to damages such as excessive chalking and crazing, erosion and tracking which affect the insulator performance. In service insulator are subjected to aging stresses such as humidity, pollution and electrical field which act singly or in combination. There have been numerous accelerated laboratory tests developed with the intention of evaluating suitability of polymeric materials. Some of these are strictly material tests, where as, others evaluate full scale devices. Service experience plays a key role in the utility selection of polymer insulator, but is time consuming, and may not always be available. Hence there is a need for a meaningful and reliable accelerated aging test for polymer insulator. This paper describes multi-stress aging test for reliability of polymer insulator This paper presents the rule of multi-stress aging test and test chamber for polymer insulator in korea electrotechnology research institute.

  • PDF

작동하는 복합환경조절장치 및 녹색기반시설로서 조경 - 국립해양생물자원관 옥외공간 설계 - (Constructing Landscape as an Operational Multi-Environmental Control Utility and Green Infrastructure - Landscape Design for National Marine Biology Resource Institute -)

  • 성종상
    • 한국환경복원기술학회지
    • /
    • 제15권2호
    • /
    • pp.41-56
    • /
    • 2012
  • Landscape space can and should play as a multi-functional agent : healing contaminated soil, reducing natural hazards, supporting living things, making comfortable environment for human, and appealing to human aesthetics, etc. This article aims to show the possibility and role of landscape space as such agent. In landscape design for National Marine Biology Resource Institute, distributed rain water treatment system and rain gardens are introduced to replace a mono-functioning large detention pond which was suggested by disaster impact assesment. Phytoremediation and vegetation filtering system with muti-cell wetlands are also adapted to heal the contaminated soil. This kind of landscape as a 'living machine' which can play as an operational control utility of multi-environment and thus can be combined effectively into green infrastructure is important for post-industrial city, especially in an era of climate change.

다음절 단어재인에 있어서 음운적 활성화 (Phonological Activation in Multi-syllabic Word Recognition)

  • 이창환;남기춘
    • 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
    • /
    • 한국정보과학회언어공학연구회 2004년도 제16회 한글.언어.인지 한술대회
    • /
    • pp.225-228
    • /
    • 2004
  • 영어단어 중에는 글자 열에 소리가 나지 않는 묵음자를 가진 단어들이 있다(예 : $\underline{k}nowledge$). 이러한 단어들은 같은 위치의 글자 열에 소리가 나는 글자를 가진 단어들(예 :available)과 수행을 비교하여 다음절 단어 재인에 있어서 음운 정보의 역할을 검증할 수 있는 기회를 제공한다. 파일럿 연구의 성격을 가진 본 연구의 결과, 어휘판단 과제에서 묵음자가 삭제된 단어 (예 : _nowledge)의 수행이 소리음이 삭제된 단어 (예 :_vailable)의 수행보다 빨랐다. 어휘접근을 반영하는 어휘판단과제에서의 이러한 결과는 다음절 단어재인에 있어서 음운 재부호화가 일어날 수 있는 개연성을 보여주는 것이다.

  • PDF

Cancer Treatment Using Multiphoton Photodynamic Therapy

  • Zakir Hossain, S.M.;Golam Azam, S.M.;Enayetul Babar, S.M.
    • Molecular & Cellular Toxicology
    • /
    • 제2권1호
    • /
    • pp.1-6
    • /
    • 2006
  • Photodynamic therapy (PDT), a newly established treatment for solid tumors, involves the systemic administration of a tumor localizing photosensitizer that is only activated when exposed to light of appropriate wavelength. Photoactivation of photosensitizer in the presence of oxygen results in the formation of highly cytotoxic molecular species, which precipitates necrosis. PDT has now become a promising means for the treatment of cancer due to its specificity, relatively minimal side effects, and inexpensive. However, the application of PDT has been restricted to the treatment of superficial lesions or the use of interstitial light delivery. A single photon generally activates the photochemical reaction in traditional PDT. However the use of multi photon excitation, where two or more photons simultaneously excite a photosensitizer, allows for the use of wavelengths twice as long. Such wavelengths exhibit better transmittance through tissue and thereby deeper penetration is achieved. This paper will review theoretical principles of multi photon excitation, challenges associated with multi photon PDT and update the current and future role of multi photon PDT in cancer.

A MULTI-OBJECTIVE OPTIMIZATION FOR CAPITAL STRUCTURE IN PRIVATELY-FINANCED INFRASTRUCTURE PROJECTS

  • S.M. Yun;S.H. Han;H. Kim
    • 국제학술발표논문집
    • /
    • The 2th International Conference on Construction Engineering and Project Management
    • /
    • pp.509-519
    • /
    • 2007
  • Private financing is playing an increasing role in public infrastructure construction projects worldwide. However, private investors/operators are exposed to the financial risk of low profitability due to the inaccurate estimation of facility demand, operation income, maintenance costs, etc. From the operator's perspective, a sound and thorough financial feasibility study is required to establish the appropriate capital structure of a project. Operators tend to reduce the equity amount to minimize the level of risk exposure, while creditors persist to raise it, in an attempt to secure a sufficient level of financial involvement from the operators. Therefore, it is important for creditors and operators to reach an agreement for a balanced capital structure that synthetically considers both profitability and repayment capacity. This paper presents an optimal capital structure model for successful private infrastructure investment. This model finds the optimized point where the profitability is balanced with the repayment capacity, with the use of the concept of utility function and multi-objective GA (Generic Algorithm)-based optimization. A case study is presented to show the validity of the model and its verification. The research conclusions provide a proper capital structure for privately-financed infrastructure projects through a proposed multi-objective model.

  • PDF

FakedBits- Detecting Fake Information on Social Platforms using Multi-Modal Features

  • Dilip Kumar, Sharma;Bhuvanesh, Singh;Saurabh, Agarwal;Hyunsung, Kim;Raj, Sharma
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제17권1호
    • /
    • pp.51-73
    • /
    • 2023
  • Social media play a significant role in communicating information across the globe, connecting with loved ones, getting the news, communicating ideas, etc. However, a group of people uses social media to spread fake information, which has a bad impact on society. Therefore, minimizing fake news and its detection are the two primary challenges that need to be addressed. This paper presents a multi-modal deep learning technique to address the above challenges. The proposed modal can use and process visual and textual features. Therefore, it has the ability to detect fake information from visual and textual data. We used EfficientNetB0 and a sentence transformer, respectively, for detecting counterfeit images and for textural learning. Feature embedding is performed at individual channels, whilst fusion is done at the last classification layer. The late fusion is applied intentionally to mitigate the noisy data that are generated by multi-modalities. Extensive experiments are conducted, and performance is evaluated against state-of-the-art methods. Three real-world benchmark datasets, such as MediaEval (Twitter), Weibo, and Fakeddit, are used for experimentation. Result reveals that the proposed modal outperformed the state-of-the-art methods and achieved an accuracy of 86.48%, 82.50%, and 88.80%, respectively, for MediaEval (Twitter), Weibo, and Fakeddit datasets.

BST Thin Film Multi-Layer Capacitors

  • Choi, Woo Sung;Kang, Min-Gyu;Ju, Byeong-Kwon;Yoon, Seok-Jin;Kang, Chong-Yun
    • 한국진공학회:학술대회논문집
    • /
    • 한국진공학회 2013년도 제44회 동계 정기학술대회 초록집
    • /
    • pp.319-319
    • /
    • 2013
  • Even though the fabrication methods of metal oxide based thin film capacitor have been well established such as RF sputtering, Sol-gel, metal organic chemical vapor deposition (MOCVD), ion beam assisted deposition (IBAD) and pulsed laser deposition (PLD), an applicable capacitor of printed circuit board (PCB) has not realized yet by these methods. Barium Strontium Titanate (BST) and other high-k ceramic oxides are important materials used in integrated passive devices, multi-chip modules (MCM), high-density interconnect, and chip-scale packaging. Thin film multi-layer technology is strongly demanded for having high capacitance (120 nF/$mm^2$). In this study, we suggest novel multi-layer thin film capacitor design and fabrication technology utilized by plasma assisted deposition and photolithography processes. Ba0.6Sr0.4TiO3 (BST) was used for the dielectric material since it has high dielectric constant and low dielectric loss. 5-layered BST and Pt thin films with multi-layer sandwich structures were formed on Pt/Ti/$SiO_2$/Si substrate by RF-magnetron sputtering and DC-sputtering. Pt electrodes and BST layers were patterned to reveal internal electrodes by photolithography. SiO2 passivation layer was deposited by plasma-enhanced chemical vapor deposition (PE-CVD). The passivation layer plays an important role to prevent short connection between the electrodes. It was patterned to create holes for the connection between internal electrodes and external electrodes by reactive-ion etching (RIE). External contact pads were formed by Pt electrodes. The microstructure and dielectric characteristics of the capacitors were investigated by scanning electron microscopy (SEM) and impedance analyzer, respectively. In conclusion, the 0402 sized thin film multi-layer capacitors have been demonstrated, which have capacitance of 10 nF. They are expected to be used for decoupling purpose and have been fabricated with high yield.

  • PDF