• 제목/요약/키워드: Challenge Model

검색결과 864건 처리시간 0.029초

Preventive Effects of a Probiotic Mixture in an Ovalbumin-Induced Food Allergy Model

  • Shin, Hee-Soon;Eom, Ji-Eun;Shin, Dong-Uk;Yeon, Sung-Hum;Lim, Seong-Il;Lee, So-Young
    • Journal of Microbiology and Biotechnology
    • /
    • 제28권1호
    • /
    • pp.65-76
    • /
    • 2018
  • Although there has been a steady increase in the prevalence of food allergies worldwide in recent decades, no effective therapeutic strategies have been developed. Modulation of the gut microbiota composition and/or function through probiotics has been highlighted as a promising target for protection against food allergies. In this study, we aimed to investigate the allergy-reducing effects of a probiotic mixture (P5: Lactococcus lactis KF140, Pediococcus pentosaceus KF159, Lactobacillus pentosus KF340, Lactobacillus paracasei 698, and Bacillus amyloliquefaciens 26N) in mice with ovalbumin (OVA)-induced food allergy. Administration of P5 significantly suppressed the oral OVA challenge-induced anaphylactic response and rectal temperature decline, and reduced diarrhea symptoms. Moreover, P5 also significantly inhibited the secretion of IgE, Th2 cytokines (interleukin (IL)-4, IL-5, IL-10, and IL-13), and Th17 cytokines (IL-17), which were increased in mice with OVA-induced food allergy, and induced generation of CD4+Foxp3+ regulatory T cells. These results revealed that P5 may have applications as a preventive agent against food allergy.

Electromechanical impedance-based long-term SHM for jacket-type tidal current power plant structure

  • Min, Jiyoung;Yi, Jin-Hak;Yun, Chung-Bang
    • Smart Structures and Systems
    • /
    • 제15권2호
    • /
    • pp.283-297
    • /
    • 2015
  • Jacket-type offshore structures are always exposed to severe environmental conditions such as salt, high speed of current, wave, and wind compared with other onshore structures. In spite of the importance of maintaining the structural integrity for an offshore structure, there are few cases to apply a structural health monitoring (SHM) system in practice. The impedance-based SHM is a kind of local SHM techniques and to date, numerous techniques and algorithms have been proposed for local SHM of real-scale structures. However, it still requires a significant challenge for practical applications to compensate unknown environmental effects and to extract only damage features from impedance signals. In this study, the impedance-based SHM was carried out on a 1/20-scaled model of an Uldolmok current power plant structure in Korea under changes in temperature and transverse loadings. Principal component analysis (PCA)-based approach was applied with a conventional damage index to eliminate environmental changes by removing principal components sensitive to them. Experimental results showed that the proposed approach is an effective tool for long-term SHM under significant environmental changes.

Learning Probabilistic Kernel from Latent Dirichlet Allocation

  • Lv, Qi;Pang, Lin;Li, Xiong
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제10권6호
    • /
    • pp.2527-2545
    • /
    • 2016
  • Measuring the similarity of given samples is a key problem of recognition, clustering, retrieval and related applications. A number of works, e.g. kernel method and metric learning, have been contributed to this problem. The challenge of similarity learning is to find a similarity robust to intra-class variance and simultaneously selective to inter-class characteristic. We observed that, the similarity measure can be improved if the data distribution and hidden semantic information are exploited in a more sophisticated way. In this paper, we propose a similarity learning approach for retrieval and recognition. The approach, termed as LDA-FEK, derives free energy kernel (FEK) from Latent Dirichlet Allocation (LDA). First, it trains LDA and constructs kernel using the parameters and variables of the trained model. Then, the unknown kernel parameters are learned by a discriminative learning approach. The main contributions of the proposed method are twofold: (1) the method is computationally efficient and scalable since the parameters in kernel are determined in a staged way; (2) the method exploits data distribution and semantic level hidden information by means of LDA. To evaluate the performance of LDA-FEK, we apply it for image retrieval over two data sets and for text categorization on four popular data sets. The results show the competitive performance of our method.

Flavonols, Flavones, Flavanoues and Human Health: Epidemiological Evidence

  • Graf Brigitte A.;Milbury Paul E.;Blumberg Jeffrey B.
    • 한국식품영양과학회:학술대회논문집
    • /
    • 한국식품영양과학회 2004년도 Annual Meeting and International Symposium
    • /
    • pp.24-36
    • /
    • 2004
  • Polyphenolic flavonoids are among a wide variety of phytochemicals present in the human diet. Basic research, animal model, and human studies suggest flavonoid intake may reduce the risk of several age-related chronic diseases. The vast number of flavonoids and mixtures of their subclasses, including flavonols, flavones and flavanones, and the variety of agricultural practices that affect their concentration in foods have presented a challenge to the development of adequate food composition databases for these com-pounds. Nonetheless, dietary assessments have been applied to cohort and case-control epidemiological studies and several reveal an inverse association with risk of some forms of cancer, cardiovascular disease, and other chronic conditions. Those observational studies that have examined these relationships with regard to flavonols, flavones, and flavanones are reviewed. The requirement for caution in interpreting these studies is discussed with regard to the limited information available on the bioavailability and biotransformation of these flavonoids. As the totality of the available evidence on these flavonoids suggests a role in the prevention of cancer and cardiovascular disease, further research is warranted, particularly in controlled clinical trials.

  • PDF

항정신병 약물과 혈당조절이상 (Antipsychotics and Abnormality in Glucose Regulation)

  • 황재승;김현;권영준;정희연
    • 생물정신의학
    • /
    • 제10권2호
    • /
    • pp.107-115
    • /
    • 2003
  • Objective:The purpose of this study was to know about the mechanism of pathogenesis of type 2 diabetes mellitus by using of blood glucose, glucoregulatory factor, insulin resistance in schizophrenic patients receiving antipsychotics. Method:Modified oral glucose tolerance tests were performed in 20 schizophrenic patients receiving haloperidol, risperidone and olanzapine. Insulin, glucagon, C-peptide and cortisol were measured in 0, 15, 45, 75 minutes after glucose loading, and insulin resistance was calculated by HOMA(homeostasis model assessment) method. Result:Olanzapine-treated patients had significant glucose elevation 45 minutes after glucose challenge. Also modest increases in HOMA IR values were detected in patients treated with olanzapine. Conclusion:Olanzapine treatment of non-diabetic patients with schizophrenia can be associated with type 2 diabetes mellitus through the elevation of glucose and insulin resistance. Elevated insulin resistance may be a causative mechanism of type 2 diabetes mellitus in patients receiving olanzapine.

  • PDF

TMA로 유도된 접촉성 과민 반응 마우스 질환모델에서 해양성 광천수 도포시의 치료효과 (Effect of Brine Mineral Water on TMA-Induced Contact Hypersensitivity Reaction in the Mouse Model)

  • 김재진;김완재;심재만;최선강;권순성;김정득;이광호
    • 한국식품영양학회지
    • /
    • 제23권4호
    • /
    • pp.440-445
    • /
    • 2010
  • Effect of brine mineral water(BMW) on contact hypersensitivity reaction(CHR) was estimated using trimellitic anhydride (TMA) induced CHR in the mouse. BMW exhibited potent inhibitory activity on TMA induced CHR. BMW treatment suppressed the ear swelling, and attenuated hyper-activated lymph nodes stimulated by TMA challenge, thereby reduced their weight. The immunological index was analyzed after BMW administration in CHR. The level of serum IgE was significantly down regulated after BMW treatment. Furthermore, BMW showed inhibitory property of cytokine production. BMW treatment suppressed not only Th2 type cytokine, IL-4 but also pro-inflammatory cytokines such as TNF-${\alpha}$ and IL-6. From the histological analysis, the inflammatory context appeared by atopic dermatitis lesion after challenging with TMA are diminished by BMW treatment. Our results suggest that BMW may attenuate the development of CHR, and can be available for functional ingredient.

가시오가피 다당체에 의한 항종양면역의 유도 (Induction of Enhancement of Anti-Tumor Immunity by Polysaccharides Fractionated from Acanthopanx Senticosus)

  • 윤택준;성지연;유광원;이호;이광호
    • 생약학회지
    • /
    • 제38권2호통권149호
    • /
    • pp.117-122
    • /
    • 2007
  • The specific activation of the immune system to control cancer growth in vivo has been a long-standing goal in cancer immunology. Whole tumor Iysates have been used either alone or combined with adjuvants to induce specific immune response in vivo. Here, we examined whether freezing/thawing (F/T) colon26-M3.1 tumor cell admixed with EN-3, glycoprotein purified from Acanthopanx Senticosus, could stimulate in vivo immunity by using a murine experimental tumor metastasis model produced by colon26-M3.1 carcinoma cells. Vaccination of mice with F/T treated colon26-M3.1 carcinoma cells in combination with EN-3 as an adjuvant resulted in a significant inhibition in tumor metastasis of mice against live colon26-M3.1 carcinoma challenge. In addition, the splenocytes from vaccinated mice exhibited a higher proliferating activity and secreted interferon-${\gamma}$. These results suggest that EN-3 can be applied to immunoadjuvant to enhance the antitumor immunity in vivo.

무선센서네트워크 환경하에서 RFID 헬스 시스템을 위한 보안 모델 (Privacy and Security Model for RFID Healthcare System in Wireless Communication Network)

  • 김정태
    • 한국정보통신학회논문지
    • /
    • 제16권6호
    • /
    • pp.1223-1228
    • /
    • 2012
  • 무선 통신 환경 하에서 병원 등에서 모바일 에이전트의 사용은 환자, 병원의 의사 등의 관계자들에게 훨씬 더 좋은 서비스를 제공한다. 더군다나 이러한 의료 진단의 과정을 더욱더 효율적이며 안전하게 하기 위하여 모바일 환경하에서의 융복합 기술이 도입됨에 따라 의료의 기록 오류의 감소 및 편의성을 가져왔다. 다가오는 미래에는 더욱더 의료 환경하에서의 융복합 기술의 도입으로 활용도가 더욱더 높아질 것이다. 따라서 본 논문에서는 이러한 유비쿼터스 환경 하에서의 헬스캐어를 위한 보안 메카니즘을 제안하고 이러한 무선 환경 하에서 발생할 수 있는 보안적인 문제점을 분석하였다.

Review on Self-embedding Fragile Watermarking for Image Authentication and Self-recovery

  • Wang, Chengyou;Zhang, Heng;Zhou, Xiao
    • Journal of Information Processing Systems
    • /
    • 제14권2호
    • /
    • pp.510-522
    • /
    • 2018
  • As the major source of information, digital images play an indispensable role in our lives. However, with the development of image processing techniques, people can optionally retouch or even forge an image by using image processing software. Therefore, the authenticity and integrity of digital images are facing severe challenge. To resolve this issue, the fragile watermarking schemes for image authentication have been proposed. According to different purposes, the fragile watermarking can be divided into two categories: fragile watermarking for tamper localization and fragile watermarking with recovery ability. The fragile watermarking for image tamper localization can only identify and locate the tampered regions, but it cannot further restore the modified regions. In some cases, image recovery for tampered regions is very essential. Generally, the fragile watermarking for image authentication and recovery includes three procedures: watermark generation and embedding, tamper localization, and image self-recovery. In this article, we make a review on self-embedding fragile watermarking methods. The basic model and the evaluation indexes of this watermarking scheme are presented in this paper. Some related works proposed in recent years and their advantages and disadvantages are described in detail to help the future research in this field. Based on the analysis, we give the future research prospects and suggestions in the end.

Dynamic knowledge mapping guided by data mining: Application on Healthcare

  • Brahami, Menaouer;Atmani, Baghdad;Matta, Nada
    • Journal of Information Processing Systems
    • /
    • 제9권1호
    • /
    • pp.1-30
    • /
    • 2013
  • The capitalization of know-how, knowledge management, and the control of the constantly growing information mass has become the new strategic challenge for organizations that aim to capture the entire wealth of knowledge (tacit and explicit). Thus, knowledge mapping is a means of (cognitive) navigation to access the resources of the strategic heritage knowledge of an organization. In this paper, we present a new mapping approach based on the Boolean modeling of critical domain knowledge and on the use of different data sources via the data mining technique in order to improve the process of acquiring knowledge explicitly. To evaluate our approach, we have initiated a process of mapping that is guided by machine learning that is artificially operated in the following two stages: data mining and automatic mapping. Data mining is be initially run from an induction of Boolean case studies (explicit). The mapping rules are then used to automatically improve the Boolean model of the mapping of critical knowledge.