• Molecular & Cellular Toxicology
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• 제3권1호
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• pp.60-67
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• 2007

Gentamicin is a broad-spectrum aminoglycoside antibiotic used in the treatment of bacterial infection. Although side effects of gentamicin such as nephrotoxicity and ototoxicity have been investigated, the information on the hepatic effects of gentamicin is still limited. In the present study, gene expression profiles were analyzed in the liver of gentamicin treated mice using Affymetrix GeneChip$^{(R)}$ Mouse Expression 430A 2.0 Array. Totally, 400 genes were identified as being either up- or down-regulated over 1.5-fold changes (P<0.01) in the liver of gentamicin treated mice. Among these deregulated genes, 16 up-regulated genes mainly involved in transport (Kif5b, Pex14, Rab14, Clcn3, and Necap1) and 20 down-regulated genes involved in lipid and other metabolisms (Hdlbp, Gm2a, Uroc1, and Dak) were selected using k-means clustering algorithm. The functional classification of differentially expressed genes represented that several stress-related genes were regulated in the liver by gentamicin treatment. This data may contribute in understanding the molecular mechanism in the liver of gentamicin treated mice.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권8호
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• pp.3519-3533
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• 2020

Tuberculosis is a chronic and delayed infection which is easily experienced by young people. According to the statistics of the World Health Organization (WHO), there are nearly ten million fell ill with tuberculosis and a total of 1.5 million people died from tuberculosis in 2018 (including 251000 people with HIV). Tuberculosis is the largest single infectious pathogen that leads to death. In order to help doctors with tuberculosis diagnosis, we compare the tuberculosis classification abilities of six popular convolutional neural network (CNN) models in the same data set to find the best model. Before training, we optimize three parts of CNN to achieve better results. We employ sigmoid function to replace the step function as the activation function. What's more, we use binary cross entropy function as the cost function to replace traditional quadratic cost function. Finally, we choose stochastic gradient descent (SGD) as gradient descent algorithm. From the results of our experiments, we find that Densenet121 is most suitable for tuberculosis diagnosis and achieve a highest accuracy of 0.835. The optimization and expansion depend on the increase of data set and the improvements of Densenet121.

• 한국임상약학회지
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• 제29권3호
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• pp.209-214
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• 2019

Doxycycline is frequently prescribed to treat urogenital infections or acne vulgaris. A 39-year-old man was prescribed doxycycline as a treatment for his skin infection. He took each tablet on an empty stomach in the morning, and just before going to bed with insufficient water. After taking the prescribed medication for approximately 3 weeks, he was diagnosed with esophageal ulcer. He had not experienced these symptoms before, and the drug label says that doxycycline rarely causes esophageal ulcer. After discontinuing the medication, the symptoms disappeared. Using the World Health Organization-Uppsala Monitoring Center criteria, the causality for doxycycline-induced esophageal ulcer was evaluated as "possible." Additionally, using the Naranjo scale and Korean causality assessment algorithm (Ver. 2), the causality was evaluated as "probable." Previous reports have stated that most patients who took doxycycline with insufficient water just before going to bed or in the supine position developed esophageal ulcer. Therefore, all patients taking doxycycline must be provided with detailed instructions about the appropriate administration methods.

• 한국축산식품학회지
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• 제41권5호
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• pp.883-893
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• 2021

Clostridium difficile present in feces of food animals may contaminate their meats and act as a potential source of C. difficile infection (CDI) to humans. C. difficile resistance to antibiotics, its production of toxins and spores play major roles in the pathogenesis of CDI. This is the first study to evaluate C. difficile prevalence in retail raw animal meats, its antibiotics susceptibilities and toxigenic activities in Al-Jouf, Saudi Arabia. Totally, 240 meat samples were tested. C. difficile was identified by standard microbiological and biochemical methods. Vitek-2 compact system confirmed C. difficile isolates were 15/240 (6.3%). Toxins A/B were not detected by Xpect C. difficile toxin A/B tests. Although all isolates were susceptible to vancomycin and metronidazole, variable degrees of reduced susceptibilities to moxifloxacin, clindamycin or tetracycline antibiotics were detected by Epsilon tests. C. difficile strains with reduced susceptibility to antibiotics should be investigated. Variability between the worldwide reported C. difficile contamination levels could be due to absence of a gold standard procedure for its isolation. Establishment of a unified testing algorithm for C. difficile detection in food products is definitely essential to evaluate the inter-regional variation in its prevalence on national and international levels. Proper use of antimicrobials during animal husbandry is crucial to control the selective drug pressure on C. difficile strains associated with food animals. Investigating the protective or pathogenic potential of non-toxigenic C. difficile strains and the possibility of gene transfer from certain toxigenic/ antibiotics-resistant to non-toxigenic/antibiotics-sensitive strains, respectively, should be worthy of attention.

• 전기전자학회논문지
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• 제26권4호
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• pp.681-685
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• 2022

COVID-19 사태를 비롯하여 인류는 지속적인 바이러스 감염에 노출되고 있고 감염자를 신속하게 격리하고 접촉자를 추적하여 감염 확산을 방지를 위한 노력이 진행되고 있다. 연락을 통해 확진자 접촉을 확인하는 수동적인 역학조사는 정확성과 신속성 측면에서 한계가 있어 다양한 디지털 기술을 활용한 자동적인 추적 방법이 제안되고 있다. 본 논문에서는 저전력 블루투스 BLE(Bluetooth Low Energy) 기술을 활용하여 접촉을 확인하고 RSSI (Received Signal Strength Indicator) 값에 대한 분석과 보정을 통해 밀접 접촉을 식별하는 알고리즘을 제시하고, 중앙집중형 서버 구조의 바이러스 확산을 방지할 수 있는 시스템을 제안하고자 한다.

• Archives of Plastic Surgery
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• 제46권6호
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• pp.550-557
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• 2019

Background In recent years, breast implants have been frequently placed in the subcutaneous pocket, in the so-called prepectoral approach. We report our technique of prepectoral implant-based breast reconstruction (IBR), as well as its surgical and aesthetic outcomes, in comparison with subpectoral IBR. We also discuss relevant considerations and pitfalls in prepectoral IBR and suggest an algorithm for the selection of patients for IBR based on our experiences. Methods We performed 79 immediate breast reconstructions with a breast implant and an acellular dermal matrix (ADM) sling, of which 47 were subpectoral IBRs and 32 were prepectoral IBRs. Two-stage IBR was performed in 36 cases (20 subpectoral, 16 prepectoral), and direct-to-implant IBR in 43 cases (27 prepectoral, 16 subpectoral). The ADM sling supplemented the inferolateral side of the breast prosthesis in the subpectoral group and covered the entire anterior surface of the breast prosthesis in the prepectoral group. Results The postoperative pain score was much lower in the prepectoral group than in the subpectoral group (1.78 vs. 7.17). The incidence of seroma was higher in the prepectoral group (31.3% vs. 6.4%). Other postoperative complications, such as surgical site infection, flap necrosis, implant failure, and wound dehiscence, occurred at similar rates in both groups. Animation deformities developed in 8.5% of patients in the subpectoral group and rippling deformities were more common in the prepectoral group (21.9% vs. 12.8%). Conclusions The indications for prepectoral IBR include moderately-sized breasts with a thick well-vascularized mastectomy flap and concomitant bilateral breast reconstruction with prophylactic mastectomy.

• 비파괴검사학회지
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• 제35권1호
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• pp.1-11
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• 2015

본 연구에서는 온라인 감염 씨감자 비파괴선별 시스템을 구축하고 감염 씨감자 선별을 위한 통계적 모델을 개발하여 적용함으로써 선별시스템의 성능을 평가하였다. 선별모델 개발을 위해 토양병 및 잠복 감염의 대표적인 병원성 세균인 pectobacteruim atrosepticum을 인위적으로 씨감자에 감염시켜 씨감자 내부에 병징이 발현되도록 하여 실험하였다. 구축된 선별시스템을 통해 감염 및 정상 씨감자의 투과스펙트럼을 획득한 후 최소자승판별법(partial least square-discriminant analysis)을 이용하여 감염 씨감자 검출모델을 개발하였다. 개발된 모델의 검정결정계수는($R^2$) 0.943이었고 분류의 정확도는 99%(n=80) 이상으로 우수한 선별성능을 보였다. 개발된 온라인 감염 씨감자 선별시스템은 씨감자 선별뿐만 아니라 다양한 농산물의 감염을 검출하는 기반기술로 응용이 가능할 것으로 판단된다.

• 대한암한의학회지
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• 제25권1호
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• pp.11-24
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• 2020

Objective : Radiodermatitis is a common sequelae in 95% of patients receiving radiation therapy, which is important to be well managed as it can affect the patient's quality of life as well as the cancer treatment schedule. The aim of this study is to review and summarize the interventions available for the treatment of acute radiodermatitis, including traditional Korean medicine, and to propose treatment algorithms for clinicians. Methods : To collect studies about managements for radiodermatitis, domestic and foreign database were used such as Korean journal of traditional knowledge portal (KTKP), Korean studies information service system (KISS), national discovery or science leaders (NDSL), and oriental medicine advance searching integrated system (OASIS), Pubmed, Google scholar and Scopus. Results : Thirty-two studies were selected. There were nine studies on usual care and dressing, eleven studies on chemical agents, two studies on biological preparations, and ten studies on herbal medicines. Conclusion : Hygienic options and dressings have proved to be useful in the management of radiodermatitis. Chemical agents such as corticosteroid, statin, and topical antibiotic agent have proved to alleviate symptoms and severity, regenerate damaged skin, and prevent secondary infection. In biological preparations, EGF (epidermal growth factor) and GM-CSF (granulocyte-macrophage colony-stimulating factor) could be used to protect skin and prevent radiodermatitis. For herbal medicines, Calendula, catechin, β-sitosterol, and Jaungo (紫雲膏) may be effective for symptoms including pain, itching, and burning sensation induced by radiation therapy. Because of some research with conflicting results, further studies are needed to propose an algorithm for more optimal treatments.

• 한국전자통신학회논문지
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• 제5권1호
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• pp.102-108
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• 2010

컴퓨터 그래픽스 기술을 접목한 디지털 영상 콘텐츠 산업이 점차 증가하면서, 사용자들은 현실세계와 흡사할 정도의 고품질 애니메이션을 요구하고 있으며, 사이버수족관 및 어류백과사전 등을 통해서 어류의 형태나 유영방식을 관찰하고자 한다. 본 연구에서는 해저 환경을 표현함에 있어서 가장 핵심이 되는 어류의 자연스럽고도 역동적인 움직임을 표현하기 위해 어류 성장 과정 시스템을 설계하고 개발하였다. 본 시스템에서는 기존 어류 유영 방식을 새롭게 보완한 알고리즘을 사용한 시뮬레이션과 기존 모핑 연구에서 제시되지 않은 새로운 모핑 기법을 제안한다. 또한 어류의 성장 과정 중 환경 요인에 따라 발생하는 질병 감염 상태를 현실적으로 표현한다. 기존 어류 연구와 다르게 포괄적인 어류 연구를 진행하여 어류에 관련된 전반적인 특징을 현실적으로 시뮬레이션 하여 살펴보게 된다.

• 한국멀티미디어학회논문지
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• 제15권8호
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• pp.1017-1030
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• 2012

현재까지 대부분의 비디오 콘텐츠에 대한 워터마킹 기법들은 최초의 콘텐츠에 저작권자 정보를 은닉한 후, 압축율 및 각종 신호처리를 공격으로 간주하여 상대적인 강인성과 비가시성을 우수하게 설계하는 것으로서 연구되어왔다. 제안 기법은 워터마크와 제어신호를 전염성을 가진 정보로 간주하고 비디오 인코더에 은닉된 정보를 이용하여 디코더로부터 능동적으로 워터마크를 전염시키는 방법을 제안한다. 제안 기법을 위해 워터마크와 함께 화질제어 및 삽입강도 가변파라미터를 같이 은닉하는 커널 기반 워터마킹을 수행하며, 이것은 인증되지 않은 워터마크에 대해 저화질의 비디오 콘텐츠를 제공할 수 있는 장점을 가진다. 또한 비디오 디코더에서는 워터마크 복호화를 단계에서 저작권자나 사용자가 개입되지 않고 능동적으로 콘텐츠 기반의 워터마킹을 수행하여 변이된 워터마크를 전염시키는 기법으로 트랜스코딩, 재압축 등과 같은 처리에도 워터마크와 화질의 손상 없이 재배포가 가능하도록 한다. 실험결과 워터마크로 인한 압축율 저하나 워터마크의 손상 없이 비디오 콘텐츠와 코덱에 의해 완벽하게 전염됨을 확인하였다.