• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• 제15권1호
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• pp.16-27
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• 2004

애착이 무엇이고 어떤 역사적 배경을 가지고 있으며 인생초기에 어떻게 발달하는가와 함께 그것이 후속적 발달에 주는 영향을 선행연구에 기초하여 개관하였다. 이와 함께 애착이 갖는 임상적 시사점과 임상적 적용을 위해 우선적으로 해결되어야할 문제점을 논의하였다. 애착은 인생초기에 형성되고 그것의 질적 특성은 내적 작동모델의 형태로 일생동안 지속되기 때문에 개인의 정상발달은 물론 병리적 발달에 영향을 미치지 않을 수 없다. 그러므로 이 논문은 애착의 중요성은 물론 병리적 애착의 예방과 치료를 위해 어떤 노력을 해야할 것인가에 관한 통찰을 제공할 것이다.

• Biomolecules & Therapeutics
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• 제23권1호
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• pp.12-18
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• 2015

Skin is an emerging target tissue in pharmaceutical and cosmetic science. Safety assessment for dermal toxicity is a critical step for development of topically applicable pharmaceutical agents and ingredients in cosmetics. Urgent needs exist to set up toxicity testing methods for dermal safety, and identification of novel biomarkers for pathological cutaneous alteration is highly required. Here we will discuss if vascular endothelial growth factor (VEGF) has a potential as a biomarker for dermal impairment. Experimental and clinical evidences for induction of keratinocytic VEGF under pathological conditions will be reviewed.

• 환경생물
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• 제31권4호
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• pp.486-492
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• 2013

최근 국내의 양식 메기에 표피 박리와 근육 괴사를 특징으로 하는 새로운 질병이 발생하였다. 그 폐사율은 낮으나 질병으로 인한 상품가치의 저하로 경제적 손실이 크다. 병어로부터 원인균을 분리하고 자연감염어와 인위감염어의 병리학적 변화를 관찰하였다. 원인균은 Aeromonas veronii로 동정되었으며, 원인균을 건강어에 인위감염시켜 폐사 및 증상의 발현을 매일 관찰하였다. 인위감염된 어류의 증상은 자연감염어와 유사하였으며 원인균을 감염시킨 후 7일 이내에 모두 폐사하였다. 병어의 조직표본을 제작하여 관찰한 결과, 자연감염어의 간, 비장, 신장의 울혈 및 간세포 변성과 비장 협조직의 초자적변성이 관찰되었으며, 특히 심장에서 염증성 변성과 세균응집체가 관찰되었다. 소화관에서의 울혈과 점막고 유층의 섬유화 현상도 특징적이었다. 자연감염어에 비해 약한 경향이지만 인위감염어의 조직학적 변화도 관찰되었으며, 소화관에서의 조직학적 변성은 관찰되지 않았다.

• Journal of Breast Disease
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• 제6권2호
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• pp.35-38
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• 2018

Purpose: The eighth American Joint Committee on Cancer staging system for breast cancer was recently published to more accurately predict the prognosis by adding biomarkers such as estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2. However, this system is very complicated and difficult to use by clinicians. The authors developed a program to aid in setting up the staging system and confirmed its usefulness by applying it to theoretical combinations and actual clinical data. Methods: The program was developed using the Microsoft Excel Macro. It was used for the anatomic, clinical and pathological prognostic staging of 588 theoretical combinations. The stages were also calculated the stages using 840 patients with breast cancer without carcinoma in situ or distant metastasis who did not undergo preoperative chemotherapy. Results: The anatomic, clinical and pathological prognostic stages were identical in 240 out of 588 theoretical combinations. In the actual patients' data, stages IB and IIIB were more frequent in clinical and pathological prognostic stages than in the anatomic stage. The anatomic stage was similar to the clinical prognostic stage in 58.2% and to the pathological prognostic stage in 61.9% of patients. Oncotype DX changed the pathological prognostic stage in 2.1% of patients. Conclusion: We developed a program for the new American Joint Committee on Cancer staging system that will be useful for clinical prognostic prediction and large survival data analysis.

• 대한후두음성언어의학회지
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• 제33권3호
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• pp.142-155
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• 2022

Diagnosis using voice is non-invasive and can be implemented through various voice recording devices; therefore, it can be used as a screening or diagnostic assistant tool for laryngeal voice disease to help clinicians. The development of artificial intelligence algorithms, such as machine learning, led by the latest deep learning technology, began with a binary classification that distinguishes normal and pathological voices; consequently, it has contributed in improving the accuracy of multi-classification to classify various types of pathological voices. However, no conclusions that can be applied in the clinical field have yet been achieved. Most studies on pathological speech classification using speech have used the continuous short vowel /ah/, which is relatively easier than using continuous or running speech. However, continuous speech has the potential to derive more accurate results as additional information can be obtained from the change in the voice signal over time. In this review, explanations of terms related to artificial intelligence research, and the latest trends in machine learning and deep learning algorithms are reviewed; furthermore, the latest research results and limitations are introduced to provide future directions for researchers.

• 한국운동역학회지
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• 제28권1호
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• pp.55-60
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• 2018

Objective: This study aimed to analyze the effects of computer game exposure on pathological musculoskeletal symptoms in adolescents. Method: This study included 10 male junior high school students who used computers less than 3 times a week for 1 hr per day. The subjects were asked to play computer games for 4 hr. Magnetic resonance imaging of the hand and wrist, from the distal radius and ulnar head to the distal phalanges, and radiography of the cervical vertebrae were performed before and after playing computer games. For each dependent variable, a paired t-test was performed to identify significant changes before and after a 4-hr active computer game (p<.05). Results: The horizontal diameters of the flexor tendons in the index and middle fingers were significantly reduced after playing computer games. The horizontal diameters of the flexor tendons of other fingers did not show any significant differences, but there was a tendency toward a decrease after playing computer games. There was no significant change in the cervical lordosis angle before and after playing computer games. However, the cervical lordosis angle was relatively decreased. Conclusion: The results of this study showed that computer game exposure had direct and indirect effects on morphological changes of flexor tendons. In addition, playing computer games for long periods of time can have a negative effect on normal functioning of the musculoskeletal system, with the possible development of abnormalities. However, computer game exposure in adolescents cannot be decisively identified as a factor causing pathological symptoms, based on the results of this study alone. Thus, longterm longitudinal studies on the overall musculoskeletal system are necessary.

• IMMUNE NETWORK
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• 제9권1호
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• pp.8-11
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• 2009

There is mounting evidence that autophagy is involved in diverse physiological and pathological processes that have immense relevance in human development, diseases and aging. Immunity and inflammation are not exceptions. Here, the role of autophagy in the control of immune processes particularly that related to cell death and inflammation is discussed.

• Clinical and Experimental Pediatrics
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• 제48권9호
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• pp.920-923
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• 2005

Epilepsy is a neurological disorder from many molecular and biochemical responses. In the underlying mechanism, free radicals play an important role in seizure initiation and seizure-induced brain damage. Excessive production of oxygen free radicals and other radical species have been implicated in the development of seizures under pathological conditions and linked to seizure-induced neurodegeneration.

• The Journal of Korean Physical Therapy
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• 제16권1호
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• pp.49-59
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• 2004

Chronic and acute musculoskeletal disorders associated with aging are a challenges to the physical therapy. An understanding of the pathophysiology of normal and pathological aging is imperative for making effective clinical decisions. The foundation for understanding the aging musculoskeletal system is understanding the sequence of normal musculoskeletal development, which begins prenatally

• BMB Reports
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• 제48권5호
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• pp.256-265
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• 2015

Cardiovascular and neurodegenerative diseases are major health threats in many developed countries. Recently, target tissues derived from human embryonic stem (hES) cells and induced pluripotent stem cells (iPSCs), such as cardiomyocytes (CMs) or neurons, have been actively mobilized for drug screening. Knowledge of drug toxicity and efficacy obtained using stem cell-derived tissues could parallel that obtained from human trials. Furthermore, iPSC disease models could be advantageous in the development of personalized medicine in various parts of disease sectors. To obtain the maximum benefit from iPSCs in disease modeling, researchers are now focusing on aging, maturation, and metabolism to recapitulate the pathological features seen in patients. Compared to pediatric disease modeling, adult-onset disease modeling with iPSCs requires proper maturation for full manifestation of pathological features. Herein, the success of iPSC technology, focusing on patient-specific drug treatment, maturation-based disease modeling, and alternative approaches to compensate for the current limitations of patient iPSC modeling, will be further discussed. [BMB Reports 2015; 48(5): 256-265]