• Journal of Korean Physical Therapy Science
• /
• v.16 no.3
• /
• pp.67-74
• /
• 2009

Background: Various functional factors should be incorporated during assessment and intervention for patient rehabilitation. Stable respiratory function is one of required factors for functional restoration. To maximize respiratory physical therapy intervention outcome, it is required to understand clinical features of respiratory diseases and physical therapy approaches. Methods: Previous studies were systematically reviewed through computerized search. Methodological qualities of selected studies were evaluated and the levels of recommendations were determined. Results: Assessment for respiratory pattern and thoracic mobility is of importance to improve cardiopulmonary fitness during physical reconditioning. Application of optimal therapeutic protocol can increase thoracic mobility and respiratory function. Interdisciplinary communication is critical during rehabilitation for respiratory patients. Health care provider should have professional knowledge and experience for cardiopulmonary fitness and obligation to endeavor for patients' respiratory rehabilitation. It is necessary to standardize therapeutic intervention, and rehabilitative respiratory exercise should be applied to confirm the effects of intervention. Conclusion: Respiratory diseases that may reduce patients' quality of life and cardiopulmonary fitness should be resolved through physical therapy approaches. Through conducting research, effect of evidence-based and patients' function-oriented intervention can be determined.

• Bioinformatics and Biosystems
• /
• v.1 no.2
• /
• pp.95-98
• /
• 2006

Recent proteomic studies of protein domains require high-throughput and systematic approaches. Since most experiments using protein domains, the modules of protein-protein interactions, require gene cloning, the first experimental step should be retrieving DNA sequences of domain encoding regions from databases. For a large scale proteomic research, however, it is a laborious task to extract a large number of domain sequences manually from several inter-linked databases. We present a new methodology to retrieve DNA sequences of domain encoding regions through automatic database cross-referencing. To extract protein domain encoding regions, it traverses several inter-connected database with validation process. And we applied this method to retrieve all the EGF domain encoding DNA sequences of homo sapiens. This new algorithm was implemented using Python library PAMIE, which enables to cross-reference across distinct databases automatically.

• Women's Health Nursing
• /
• v.13 no.4
• /
• pp.237-244
• /
• 2007

• Proceedings of the Korea Society of Design Studies Conference
• /
• 2001.10a
• /
• pp.23.2-23
• /
• 2001

• Journal of Digital Convergence
• /
• v.13 no.12
• /
• pp.325-336
• /
• 2015

The purpose of this study is to confirm the components of users' shared value expectation(SVE) on lifelong education through convergent approaches. After reviewing primary data and collecting secondary data with quantitative and qualitative research methodologies, the components of users' SVE on lifelong education were categorized into 10 perspectives, 27 measured variables, and 81 questions. After conducting a confirmatory factor analysis, the latent measurement model was confirmed as reasonable. Internal reliability, construct convergent discriminant validity were also confirmed as reasonable. In a viewpoint that builds interdisciplinary theory, this research may help grasp users' SVE on lifelong education with interdisciplinary approaches. In a strategic viewpoint, this study may contribute to both understanding categorized users' value expectation and planning/executing suitable programs that can meet the expectations. In a managerial viewpoint, this result may help measure the effectiveness of SVE on lifelong education quantitatively.

• Genomics & Informatics
• /
• v.14 no.4
• /
• pp.138-148
• /
• 2016

The success of genome-wide association studies (GWASs) has enabled us to improve risk assessment and provide novel genetic variants for diagnosis, prevention, and treatment. However, most variants discovered by GWASs have been reported to have very small effect sizes on complex human diseases, which has been a big hurdle in building risk prediction models. Recently, many statistical approaches based on penalized regression have been developed to solve the "large p and small n" problem. In this report, we evaluated the performance of several statistical methods for predicting a binary trait: stepwise logistic regression (SLR), least absolute shrinkage and selection operator (LASSO), and Elastic-Net (EN). We first built a prediction model by combining variable selection and prediction methods for type 2 diabetes using Affymetrix Genome-Wide Human SNP Array 5.0 from the Korean Association Resource project. We assessed the risk prediction performance using area under the receiver operating characteristic curve (AUC) for the internal and external validation datasets. In the internal validation, SLR-LASSO and SLR-EN tended to yield more accurate predictions than other combinations. During the external validation, the SLR-SLR and SLR-EN combinations achieved the highest AUC of 0.726. We propose these combinations as a potentially powerful risk prediction model for type 2 diabetes.

• Journal of Microbiology
• /
• v.42 no.1
• /
• pp.9-13
• /
• 2004

Culture-independent approaches, based on 16S rDNA sequences, are extensively used in modern microbial ecology. Sequencing of the clone library generated from environmental DNA has advantages over fingerprint-based methods, such as denaturing gradient gel electrophoresis, as it provides precise identification and quantification of the phylotypes present in samples. However, to date, no method exists for comparing multiple bacterial community structures using clone library sequences. In this study, an automated method to achieve this has been developed, by applying pair wise alignment, hierarchical clustering and principle component analysis. The method has been demonstrated to be successful in comparing samples from various environments. The program, named CommCluster, was written in JAVA, and is now freely available, at http://chunlab.snu.ac.kr/commcluster/.

• Journal of Environmental Science International
• /
• v.25 no.9
• /
• pp.1341-1348
• /
• 2016

The natural environment plays an important role not only in ecological sustainability, but also in human health. Growing attention has been focused on the health benefits of natural environments with increasing scientific evidence in this field. Urban green space has positive effects on individual and community health; thus, it is considered as social infrastructure. The natural environment promotes mental health by relieving psychological stress and depression. Physical health can be improved by experiencing nature, which reduces physiological stress and boosts the immune system. Several international initiatives have been undertaken to improve our understanding in this field and to utilize these benefits for health promotion. Interdisciplinary approaches are needed to promote human health through the natural environment in the fields of science, education, planning and policy.

• Nuclear Engineering and Technology
• /
• v.54 no.4
• /
• pp.1153-1160
• /
• 2022

The application of video processing techniques are useful for the safety of nuclear power plants by tracking the people online on video to estimate the dose received by staff during work in nuclear plants. Nuclear reactors remotely visually controlled to evaluate the plant's condition using video processing techniques. Internal reactor components should be frequently inspected but in current scenario however involves human technicians, who review inspection videos and identify the costly, time-consuming and subjective cracks on metallic surfaces of underwater components. In case, if any frame of the inspection video degraded/corrupted/missed due to noise or any other factor, then it may cause serious safety issue. The problem of missing/degraded/corrupted video frame estimation is a challenging problem till date. In this paper a systematic literature review on video processing techniques is carried out, to perform their suitability analysis for NPP applications. The limitation of existing approaches are also identified along with a roadmap to overcome these limitations.

• Biomolecules & Therapeutics
• /
• v.32 no.2
• /
• pp.171-182
• /
• 2024

All cells are equipped with intricate signaling networks to meet the energy demands and respond to the nutrient availability in the body. AMP-activated protein kinase (AMPK) is among the most potent regulators of cellular energy balance. Under ATP -deprived conditions, AMPK phosphorylates substrates and affects various biological processes, such as lipid/glucose metabolism and protein synthesis. These actions further affect the cell growth, death, and functions, altering the cellular outcomes in energy-restricted environments. AMPK plays vital roles in maintaining good health. AMPK dysfunction is observed in various chronic diseases, making it a promising target for preventing and alleviating such diseases. Herein, we highlight the different AMPK functions, especially in allergy, aging, and cancer, to facilitate the development of new therapeutic approaches in the future.