• 제목/요약/키워드: early identification

검색결과 667건 처리시간 0.03초

Osteoporosis: New Biomedical Engineering Aspects

  • Singh, Kanika;Lee, Sung-Hak;Kim, Kyung-Chun
    • Journal of Mechanical Science and Technology
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    • 제20권12호
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    • pp.2265-2283
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    • 2006
  • There is tremendous interest of research which surrounds the concept of 'osteoporosis,' as shown by the intense and growing research activity in the field. The urgency to advance knowledge in this area is motivated by the need to understand not only the causes, diagnosis and treatment but also need for early identification or detection of this silent disease. Despite the various researches work is going on, important issues remain unresolved. In this paper, Osteoporosis has also been discussed with respect to biological, engineering, biochemical and physical aspects. The diagnostic and therapeutic techniques have been described for osteoporosis, for better health care. The novelty of the review paper lies in clarifying several myths, explaining the disease in details with biomedical engineering aspects and focuses on the several detection techniques, providing a new direction for early diagnosis of this deadly disease and gives new directions for the POCT device for Osteoporosis.

Using a Genetic-Fuzzy Algorithm as a Computer Aided Breast Cancer Diagnostic Tool

  • Alharbi, Abir;Tchier, F;Rashidi, MM
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권7호
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    • pp.3651-3658
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    • 2016
  • Computer-aided diagnosis of breast cancer is an important medical approach. In this research paper, we focus on combining two major methodologies, namely fuzzy base systems and the evolutionary genetic algorithms and on applying them to the Saudi Arabian breast cancer diagnosis database, to aid physicians in obtaining an early-computerized diagnosis and hence prevent the development of cancer through identification and removal or treatment of premalignant abnormalities; early detection can also improve survival and decrease mortality by detecting cancer at an early stage when treatment is more effective. Our hybrid algorithm, the genetic-fuzzy algorithm, has produced optimized systems that attain high classification performance, with simple and readily interpreted rules and with a good degree of confidence.

Early Diagnosis for Mucopolysaccharidosis I - A 6-month-old Female Infant Presenting with Gibbus, Hirsutism and Mongolian Spots in a Well Baby Clinic

  • Lin, Hsiang-Yu;Chuang, Chih-Kuang;Chang, Jui-Hsing;Lin, Shuan-Pei
    • Journal of mucopolysaccharidosis and rare diseases
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    • 제2권1호
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    • pp.23-26
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    • 2016
  • Mucopolysaccharidosis (MPS) I is a rare, progressive and multisystemic disease with insidious initial signs and symptoms, and making an early diagnosis can be a challenge for the first-line general medical practitioner. We report a 6-month-old girl who was brought to our well baby clinic for regular immunization with the manifestations of lumbar gibbus, hirsutism, large Mongolian spots over back and buttock, and mild bilateral legs spasticity noticed by the general pediatrician, and then newly diagnosed with MPS I after referral to the geneticist in time. Her surgical history included inguinal hernia repair at 1 month old, $CO_2$ laser supraglottoplasty for laryngomalacia and tracheostomy due to chronic respiratory failure with ventilator dependence at 2 months old. Understanding and identification of the early signs and symptoms of this disease have the potential to early diagnosis and timely appropriate treatment, which could contribute to a better clinical outcome.

Genome-wide identification of long noncoding RNA genes and their potential association with mammary gland development in water buffalo

  • Jin, Yuhan;Ouyang, Yina;Fan, Xinyang;Huang, Jing;Guo, Wenbo;Miao, Yongwang
    • Animal Bioscience
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    • 제35권11호
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    • pp.1656-1665
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    • 2022
  • Objective: Water buffalo, an important domestic animal in tropical and subtropical regions, play an important role in agricultural economy. It is an important source for milk, meat, horns, skin, and draft power, especially its rich milk that is the great source of cream, butter, yogurt, and many cheeses. In recent years, long noncoding RNAs (lncRNAs) have been reported to play pivotal roles in many biological processes. Previous studies for the mammary gland development of water buffalo mainly focus on protein coding genes. However, lncRNAs of water buffalo remain poorly understood, and the regulation relationship between mammary gland development/milk production traits and lncRNA expression is also unclear. Methods: Here, we sequenced 22 samples of the milk somatic cells from three lactation stages and integrated the current annotation and identified 7,962 lncRNA genes. Results: By comparing the lncRNA genes of the water buffalo in the early, peak, and late different lactation stages, we found that lncRNA gene lnc-bbug14207 displayed significantly different expression between early and late lactation stages. And lnc-bbug14207 may regulate neighboring milk fat globule-EGF factor 8 (MFG-E8) and hyaluronan and proteoglycan link protein 3 (HAPLN3) protein coding genes, which are vital for mammary gland development. Conclusion: This study provides the first genome-wide identification of water buffalo lncRNAs and unveils the potential lncRNAs that impact mammary gland development.

Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever

  • Ryu, Harry Wooseuk;Tai, Joo Ho
    • Journal of Veterinary Science
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    • 제23권1호
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    • pp.17.1-17.10
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    • 2022
  • Background: Inspection of livestock farms using surveillance cameras is emerging as a means of early detection of transboundary animal disease such as African swine fever (ASF). Object tracking, a developing technology derived from object detection aims to the consistent identification of individual objects in farms. Objectives: This study was conducted as a preliminary investigation for practical application to livestock farms. With the use of a high-performance artificial intelligence (AI)-based 3D depth camera, the aim is to establish a pathway for utilizing AI models to perform advanced object tracking. Methods: Multiple crossovers by two humans will be simulated to investigate the potential of object tracking. Inspection of consistent identification will be the evidence of object tracking after crossing over. Two AI models, a fast model and an accurate model, were tested and compared with regard to their object tracking performance in 3D. Finally, the recording of pig pen was also processed with aforementioned AI model to test the possibility of 3D object detection. Results: Both AI successfully processed and provided a 3D bounding box, identification number, and distance away from camera for each individual human. The accurate detection model had better evidence than the fast detection model on 3D object tracking and showed the potential application onto pigs as a livestock. Conclusions: Preparing a custom dataset to train AI models in an appropriate farm is required for proper 3D object detection to operate object tracking for pigs at an ideal level. This will allow the farm to smoothly transit traditional methods to ASF-preventing precision livestock farming.

멀티모달 방식을 통한 가스 종류 인식 딥러닝 모델 개발 (Development of Gas Type Identification Deep-learning Model through Multimodal Method)

  • 안서희;김경영;김동주
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제12권12호
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    • pp.525-534
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    • 2023
  • 가스 누출 감지 시스템은 가스의 폭발성과 독성으로 인한 인명 피해를 최소화할 핵심적인 장치이다. 누출 감지 시스템은 대부분 단일 센서를 활용한 방식으로, 가스 센서나 열화상 카메라를 통한 검출 방식으로 진행되고 있다. 이러한 단일 센서 활용의 가스 누출감지 시스템 성능을 고도화하기 위하여, 본 연구에서는 가스 센서와 열화상 이미지 데이터에 멀티모달형 딥러닝을 적용한 연구를 소개한다. 멀티모달 공인 데이터셋인 MultimodalGasData를 통해 기존 논문과의 성능을 비교하였고, 가스 센서와 열화상 카메라의 단일모달 모델을 기반하여 네 가지 멀티모달 모델을 설계 및 학습하였다. 이를 통해 가스 센서와 열화상 카메라는 각각 1D CNN, GasNet 모델이 96.3%와 96.4%의 가장 높은 성능을 보였다. 앞선 두 단일모달 모델을 기반한 Early Fusion 형식의 멀티모달 모델 성능은 99.3%로 가장 높았으며, 또한 기존 논문의 멀티모달 모델 대비 3.3% 높았다. 본 연구의 높은 신뢰성을 갖춘 가스 누출 감지 시스템을 통해 가스 누출로 인한 추가적인 피해가 최소화되길 기대한다.

공공체육단체의 윤리경영과 조직신뢰, 조직동일시 및 조직시민행동의 관계: 경인·강원지역 단체를 중심으로 (The Relationship between Ethics Management and Organizational Trust, Organizational Identification and OCB of Public Sports Organizations)

  • 송홍락;유원용
    • 한국융합학회논문지
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    • 제8권12호
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    • pp.397-405
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    • 2017
  • 본 연구는 공공체육단체 구성원이 지각하는 윤리경영과 조직신뢰, 조직동일시 및 조직시민행동간의 인과관계를 실증적으로 규명하는데 목적이 있다. 이를 위해 경인 강원지역의 국민체육진흥공단, 시 도 체육회 및 산하 경기연맹에 근무하는 직원을 대상으로 설문조사를 통해 연구를 수행하여 다음과 같은 결과를 얻었다. 첫째, 윤리경영은 조직신뢰에 긍정적인 영향을 미치는 것으로 나타났다. 둘째, 윤리경영은 조직동일시에 긍정적인 영향을 미치는 것으로 나타났다. 셋째, 조직신뢰는 조직동일시에 긍정적인 영향을 미치는 것으로 나타났다. 넷째, 조직신뢰는 조직시민행동에 긍정적인 영향을 미치는 것으로 나타났다. 다섯째, 조직동일시는 조직시민행동에 긍정적인 영향을 미치는 것으로 나타났다. 이러한 연구를 통해 공공체육단체의 윤리적 경영활동은 조직을 신뢰하고, 동일시하여 조직의 발전을 위해 직무 외의 자발적으로 수행하는 구성원의 다양한 친사회적 행동에 긍정적인 영향을 미치고 있음을 확인할 수 있다.

중풍 환자의 NIHSS에 따른 중풍 변증 분형 분포의 특성 연구 (A Study on the Relationship between NIHSS and Distribution of Pattern Identification in Stroke Patients)

  • 김미경;양나래;최동준;한창호
    • 대한중풍순환신경학회지
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    • 제10권1호
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    • pp.47-53
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    • 2009
  • Objectives : This study was aim to investigate the relationship between NIHSS and distribution of pattern identification in stroke patients. Methods : 1471 participants from the patients hospitalized for stroke within 4 weeks from April 2007 to August 2009 were included. They were grouped according to the NIHSS score; group 1 for the participants whose NIHSS were less than six, group 2 for seven to fifteen, and group 3 for over than sixteen. And the patients were re-divided into two groups according to their post-onset interval. The difference of distribution of five pattern identification for each group were investigated. And five pattern identification were re-analyzed according to the deficiency-excess pattern identification. K-W test was used for statistical synthesis, and the result was regarded as significant one, if its p-value was below 0.05. Results : Dampness-phelegm pattern was the most frequent out of five patterns in total participants as well as all the subgroups. In group 3 with more serious neurological deficit, larger proportion of patients in early acute stage was diagnosed as excess pattern including Fire-Heat pattern. On the other side the proportion of Deficiency of Qi and Yin was larger in late convalescent stage of group 3 than in other groups. But nothing was statistically significant. Conclusions : Further study including patients with more variant classification with follow-up evaluation is needed to reflect the real characteristics of stroke population.

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문경 조령 주흘관(제 1관문) 목부재의 수종 및 연륜연대 분석 (Species Identification and Tree-Ring Dating of the Wooden Elements Used in Juheulgwan of Joryeong (Gate No.1), Mungyeong, Korea)

  • LEE, Kwang Hee;PARK, Chang Hyun;KIM, Soo Chul
    • Journal of the Korean Wood Science and Technology
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    • 제49권6호
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    • pp.550-565
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    • 2021
  • 본 연구에서는 문경 조령 주흘관(제 1관문) 목부재에 대해 수종과 연륜연대분석을 진행하여 재질과 건축역사를 조사하고자 하였다. 주흘관 목부재(84점)의 수종은 소나무류 76점, 잣나무류 5점, 전나무속 3점으로 확인되었다. 연륜연대분석은 코어링법을 이용하여 시료를 채취하였으며, TSAP프로그램으로 크로스데이팅을 하였다. 연륜연대분석 결과, 소나무류 목부재 59점에 대한 최외각 연도는 1708년 여름-1709년 늦가을, 1792년 여름-1794년 초봄, 1838년 늦가을-1840년 초봄, 1867년과 1872년 초봄-늦가을로 총 4개의 벌채시기가 확인되었다. 이러한 벌채시기들은 조선왕족실록, 주흘관중수기, 주흘관 성벽 각기의 수리기록과 일치한 것을 확인하였다. 일부 부재들은 수리기록과 벌채시기간의 약 10년 정도 차이가 나타나 당시 벌채한 목재를 저장하여 사용한 것으로 판단된다.

초기단계 기술의 가치평가 방법론 적용 프레임워크 (Framework for Technology Valuation of Early Stage Technologies)

  • 박현우;이종택
    • 기술혁신학회지
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    • 제15권2호
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    • pp.242-261
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    • 2012
  • 본 고에서는 연구기관에서 개발된 기술의 기술이전 가격결정을 위해 초기단계 기술의 가치평가를 포함하여 연구개발이 진행됨에 따른 단계별 가치평가 방법을 적용하기 위한 개념적 틀을 구상해보고자 한다. 전통적인 기술가치평가는 암묵적으로 기술이 제품에 적용되는 경쟁기술인 상태를 가정하는 경우가 많다. 그러나 초기단계 기술 또는 경쟁환경에 노출되기 이전 단계의 기술에 대한 가치는 단일의 평가방법만으로 평가하는 데 한계가 존재한다. 따라서 이와 같은 초기단계 기술에 대한 가치평가를 수행하기 위한 방법론 적용의 프레임워크를 제시하고자 하였다.

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