• 한국컴퓨터정보학회논문지
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• 제26권12호
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• pp.61-67
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• 2021

본 논문에서는 문자 검출 및 인식 기술을 활용하여 비정형의 폐 기능 검사지 이미지로부터 연구를 위한 관련 정보들을 추출하여 정형화하는 방법을 제안한다. 또한 문자 인식 오차율을 줄이기 위한 후처리 방법 또한 개발하고자 한다. 제안하는 정형화 방법은 폐 기능 검사지 이미지에 대해 문자 검출 모델을 사용해 검사지 내에 존재하는 모든 문자를 검출하고, 검출된 문자 이미지를 문자 인식 모델에 통과시켜 문자열을 얻어낸다. 얻어낸 문자열에 대해 문자열 매칭을 이용한 유효성 검토를 진행하고 정형화를 마무리한다. 제안하는 정형화 시스템의 오차율은 약 1% 이내, 검사지 당 처리속도는 2초 이내로 전문인력의 수작업을 통한 정형화 방법보다 더 효율적이고 안정적인 방식이라는 것을 확인할 수 있다.

• 한국정보통신학회논문지
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• 제25권12호
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• pp.1729-1738
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• 2021

머신러닝은 인지심리, 뇌과학과 긴밀한 관계를 유지하며 함께 발전하고 있다. 본 논문은 OASIS-3 dataset을 머신러닝 기법을 이용하여 분석하고, 이를 통해 치매를 예측하는 모델을 제안한다. OASIS-3 데이터 중 각 영역의 부피를 수치화한 데이터들에 대해 PCA(Principal component analysis) 를 통한 차원 축소를 실행한 뒤, 중요한 요소(특징)들만 추출 후 이에 대해 그래디언트 부스팅, 스태킹을 포함한 다양한 머신러닝 모델들을 적용, 각각의 성능을 비교한다. 제안하는 기법은 기존 연구들과 달리 뇌 생체 데이터들은 물론 참가자의 성별 등의 기본 정보 데이터, 참여자의 의료 정보 데이터를 사용했기에 차별성이 크다. 또한, 다양한 성능평가를 통해 제안하는 기법이 다양한 수치 데이터 중 치매와 더 많은 관련성을 보이는 특징들을 찾아내어 치매를 더 잘 예측할 수 있는 모델임을 보였다.

• 임상간호연구
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• 제29권1호
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• pp.95-106
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• 2023

Purpose: This study is descriptive survey research on the analysis of nurses' perception of the 4th industrial revolution and the importance and performance of future core nursing competencies in a tertiary hospital located in Seoul. Methods: Data were collected from 149 nurses with more than a year of work experience and analyzed using descriptive statistics, t-test, one-way ANOVA, and Importance Performance Analysis(IPA) with the IBM SPSS/WIN 25.0 program. Results: The nurses' perception of the 4th industrial revolution was 3.23±0.71 out of 5 points. The importance of future core nursing competencies was 4.31±0.48, and the performance of it was 3.47±0.54. The analysis results of IPA showed that A (area of continuous maintenance) included critical thinking, problem-solving skills, teamwork and collaboration, evidence-based practice, communication, quality improvement and safety, professionalism, self-regulation and self-management, and personal literacy. The specific competencies were not included in B (area of priority improvement). Creativity, informatics, healthcare policy, leadership, research ability, and continuing education were included in C (area of progressive improvement). Knowledge and patient-centered care, ability to manage resources as well as professional, legal, and ethical responsibility were included in D (area of overinvestment). Conclusion: The nurses seemed not to be fully prepared for the 4th industrial revolution. However, they were well aware of the importance of the future core nursing competencies. Therefore, if nurses increase the performance of core competencies in order of priority according to the IPA results, they will be able to independently lead the changing nursing field.

• Genomics & Informatics
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• 제21권1호
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• pp.4.1-4.18
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• 2023

Coronavirus disease 2019 (COVID-19) is an inflammatory and infectious disease caused by severe acute respiratory syndrome coronavirus 2 virus with a complex pathophysiology. While COVID-19 vaccines and boosters are available, treatment of the disease is primarily supportive and symptomatic. Several research have suggested the potential of herbal medicines as an adjunctive treatment for the disease. A popular herbal medicine approved in the Philippines for the treatment of acute respiratory disease is Vitex negundo L. In fact, the Department of Science and Technology of the Philippines has funded a clinical trial to establish its potential as an adjunctive treatment for COVID-19. Here, we utilized network pharmacology and molecular docking in determining pivotal targets of Vitex negundo compounds against COVID-19. The results showed that significant targets of Vitex negundo compounds in COVID-19 are CSB, SERPINE1, and PLG which code for cathepsin B, plasminogen activator inhibitor-1, and plasminogen, respectively. Molecular docking revealed that α-terpinyl acetate and geranyl acetate have good binding affinity in cathepsin B; 6,7,4-trimethoxyflavanone, 5,6,7,8,3',4',5'-heptamethoxyflavone, artemetin, demethylnobiletin, gardenin A, geranyl acetate in plasminogen; and 7,8,4-trimethoxyflavanone in plasminogen activator inhibitor-1. While the results are promising, these are bound to the limitations of computational methods and further experimentation are needed to completely establish the molecular mechanisms of Vitex negundo against COVID-19.

• Genomics & Informatics
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• 제21권3호
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• pp.34.1-34.10
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• 2023

Nosocomial infections, commonly referred to as healthcare-associated infections, are illnesses that patients get while hospitalized and are typically either not yet manifest or may develop. One of the most prevalent nosocomial diseases in hospitalized patients is pneumonia, among the leading causes of mortality and morbidity. Viral, bacterial, and fungal pathogens cause pneumonia. More severe introductions commonly included Staphylococcus aureus, which is at the top of bacterial infections, per World Health Organization reports. The staphylococci, S. aureus, strain RMI-014804, mesophile, on-sporulating, and non-motile bacterium, was isolated from the sputum of a pulmonary patient in Pakistan. Many characteristics of S. aureus strain RMI-014804 have been revealed in this paper, with complete genome sequence and annotation. Our findings indicate that the genome is a single circular 2.82 Mbp long genome with 1,962 protein-coding genes, 15 rRNA, 49 tRNA, 62 pseudogenes, and a GC content of 28.76%. As a result of this genome sequencing analysis, researchers will fully understand the genetic and molecular basis of the virulence of the S. aureus bacteria, which could help prevent the spread of nosocomial infections like pneumonia. Genome analysis of this strain was necessary to identify the specific genes and molecular mechanisms that contribute to its pathogenicity, antibiotic resistance, and genetic diversity, allowing for a more in-depth investigation of its pathogenesis to develop new treatments and preventive measures against infections caused by this bacterium.

• Journal of Ginseng Research
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• 제48권1호
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• pp.1-11
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• 2024

Fresh ginseng is prone to spoilage due to its high moisture content. For long-term storage, most fresh ginsengs are dried to white ginseng (WG) or steamed for hours at high temperature/pressure and dried to form Korean Red ginseng (KRG). They are further processed for ginseng products when subjected to hot water extraction/concentration under pressure. These WG or KRG preparation processes affect ginsenoside compositions and also other ginseng components, probably during treatments like steaming and drying, to form diverse bioactive phospholipids. It is known that ginseng contains high amounts of gintonin lysophosphatidic acids (LPAs). LPAs are simple lipid-derived growth factors in animals and humans and act as exogenous ligands of six GTP-binding-protein coupled LPA receptor subtypes. LPAs play diverse roles ranging from brain development to hair growth in animals and humans. LPA-mediated signaling pathways involve various GTP-binding proteins to regulate downstream pathways like [Ca²⁺]_i transient induction. Recent studies have shown that gintonin exhibits anti-Alzheimer's disease and antiarthritis effects in vitro and in vivo mediated by gintonin LPAs, the active ingredients of gintonin, a ginseng-derived neurotrophin. However, little is known about how gintonin LPAs are formed in high amounts in ginseng compared to other herbs. This review introduces atypical or non-enzymatic pathways under the conversion of ginseng phospholipids into gintonin LPAs during steaming and extraction/concentration processes, which exert beneficial effects against degenerative diseases, including Alzheimer's disease and arthritis in animals and humans via LPA receptors.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권6호
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• pp.1478-1499
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• 2024

Coronavirus disease (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. COVID-19 become an active epidemic disease due to its spread around the globe. The main causes of the spread are through interaction and transmission of the droplets through coughing and sneezing. The spread can be minimized by isolating the susceptible patients. However, it necessitates remote monitoring to check the breathing issues of the patient remotely to minimize the interactions for spread minimization. Thus, in this article, we offer a wearable-IoTs-centered framework for remote monitoring and recognition of the breathing pattern and abnormal breath detection for timely providing the proper oxygen level required. We propose wearable sensors accelerometer and gyroscope-based breathing time-series data acquisition, temporal features extraction, and machine learning algorithms for pattern detection and abnormality identification. The sensors provide the data through Bluetooth and receive it at the server for further processing and recognition. We collect the six breathing patterns from the twenty subjects and each pattern is recorded for about five minutes. We match prediction accuracies of all machine learning models under study (i.e. Random forest, Gradient boosting tree, Decision tree, and K-nearest neighbor. Our results show that normal breathing and Bradypnea are the most correctly recognized breathing patterns. However, in some cases, algorithm recognizes kussmaul well also. Collectively, the classification outcomes of Random Forest and Gradient Boost Trees are better than the other two algorithms.

• Archives of Plastic Surgery
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• 제50권6호
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• pp.541-549
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• 2023

Background Despite its many advantages, prepectoral breast reconstruction also carries the risk of implant rippling. The recent introduction of partial superior implant coverage using a pectoralis muscle slip in prepectoral direct-to-implant (DTI) breast reconstruction has shown the potential to minimize upper pole rippling. The purpose of this study was to identify factors associated with rippling and the effectiveness of our surgical technique. Methods In total, 156 patients (186 breasts) who underwent prepectoral DTI breast reconstruction between August 2019 and March 2021 were identified retrospectively. Patient data were analyzed from medical records. Univariable and multivariable logistic analyses were performed to contextualize the risks associated with rippling deformity relative to demographic characteristics and other clinical factors. Retrospective propensity-matched analysis was performed to identify the relationship between rippling deformity and the reconstruction method. Results Patients with body mass index (BMI; odds ratio [OR], 0.736; p < 0.001), those with a postoperative chemotherapy history (OR, 0.324; p = 0.027) and those who received breast reconstruction via the superior coverage technique (OR, 0.2; p = 0.004), were less likely to develop rippling deformity. The median follow-up period was 64.9 weeks, and there were no significant differences between patients in types of mastectomy, implant, or acellular dermal matrix. Patients who underwent superior coverage technique-based reconstruction showed significantly reduced rippling (OR, 0.083; p = 0.017) Conclusion Patients with higher BMI and prior postoperative chemotherapy were less likely to develop rippling deformity. The superior coverage technique can be effective in minimizing upper pole rippling.

• 보건의료생명과학 논문지
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• 제10권2호
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• pp.341-350
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• 2022

본 연구는 COVID-19시기 간호학 전공자의 건강신념, 불확실성에 대한 인내력 부족이 예방적 건강행위에 미치는 영향을 파악하기 위해 실시되었다. 자료수집기간은 2021년 4월 5일부터 2021년 4월 23일까지 이었으며, 연구 대상자 수는 간호대학에 재학중인 150명이었다. 연구 결과 예방적 건강행위는 건강신념과 불확실성에 대한 인내력 부족과 통계적으로 유의한 정의 상관관계가 있었으며, 예방적 건강행위에 영향을 미치는 요인은 건강신념과 건강상태이었다. 이들 변수의 설명력은 20%이었다. 이러한 연구결과를 토대로 COVID-19 시기 간호학 전공자의 예방적 건강행위 실천 향상을 위해 올바른 건강신념을 확립시켜 주는 것이 무엇보다 중요하겠다.

• 보건의료생명과학 논문지
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• 제10권1호
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• pp.163-167
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• 2022

수분은 신체의 60% 이상을 차지하는 주요 구성 물질로 하루에 섭취해야 할 일정한 수분량을 설정하여 모든 연령층에 권장하고 있다. 수분은 호르몬 분비에도 관여하며 체내에 수분이 부족하면 주요 장기가 제 기능을 못 하며 스트레스 호르몬을 분비한다. 즉 충분한 수분 섭취는 탈수 증상을 완화해 스트레스, 우울, 불안감을 완화하는 데 도움이 된다. 그래서 본 연구는 대학생의 수분 섭취가 타액 코르티솔 호르몬 변화에 미치는 영향에 대해 파악하고자 대학생 32명을 대상으로 4주 동안 진행하였다. 취업과 진로 결정을 해야 하는 대학생 32명 중 평균 스트레스 호르몬의 수치는 성인 정상치에 속하며 심한 스트레스를 받는 학생은 없지만, 일부 학생들은 어느 정도 스트레스를 받는 것으로 나타났다. 실험 결과, 사후 타액 코르티솔 호르몬 농도가 사전 타액 코르티솔 호르몬 농도보다 낮아 4주간 충분한 수분 섭취를 통해 스트레스 완화된 것으로 추정한다.