• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.30 no.2
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• pp.50-56
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• 2019

Most patients with Tourette's disorder experience an uncomfortable sensory phenomenon called the premonitory urge immediately before experiencing tics. It has been suggested that premonitory urges are associated with comorbidities such as obsessive compulsive disorder, anxiety disorders, and attention-deficit/hyperactivity disorder, although these associations have been inconsistent. Most patients experience tics as a result of the premonitory urges, and after the tics occur, most patients report that the premonitory urges are temporarily relieved. As a consequence, several studies have assessed the premonitory urge and its potential therapeutic utility. Based on the concept that the premonitory urge induces tics, behavioral treatments such as Exposure and Response Prevention and Habit Reversal Therapy have been developed. However, it is still unclear whether habituation, the main mechanism of these therapies, is directly related to their effectiveness. Moreover, the observed effects of pharmacological treatments on premonitory urges have been inconsistent.

• Natural Product Sciences
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• v.24 no.4
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• pp.293-297
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• 2018

Sasa quelpaertensis Nakai leaves contain a mixture of polysaccharides, amino acids, and polyphenols, which mediate various biological activities. For efficient utilization of its leaf, we reported the preparation procedure for phytochemical-rich extract (PRE) using the leaf residue, which was by-product of hot water extraction. This study was undertaken to evaluate the effects of PRE and its major constituent, p-coumaric acid,on the growth of several human cancer cell lines (MKN-74, MKN-45, SNU-1, SNU-16, and HL-60). The ethyl acetate fraction of PRE and p-coumaric acid significantly inhibited the proliferation of MKN-74 and HL-60 cells, respectively, and induced cell apoptosis, down-regulated Bcl-2 and poly (ADP-ribose) polymerase levels, and up-regulated those of Bax and caspase-3. These results show the potential utility of S. quelpaertensis Nakai leaves in cancer prevention.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1009-1011
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• 2011

With the growth of Smart Grid technologies, security and privacy will become the most important issues and more attention should be paid. There are some existing solutions about anonymization of smart meters, however, they still have some potential threats. In this paper, we describe an enhanced method to protect the privacy of consumer data. When metering data are required by a utility or the electrical energy distribution center for operational reasons, data are delivered not with the real IDs but with temporary IDs. In addition, these temporary IDs are changed randomly to prevent the attackers from analyzing the energy usage patterns. We also describe secure data transmission method for securing data delivered. In this way, we can enhance the privacy of Smart Grid System with low overhead.

• Korean Journal of Exercise Nutrition
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• v.23 no.2
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• pp.13-15
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• 2019

[Purpose] Functional beverages are a protective or enhancing factor influencing not only public health but also athletic performance. The purpose of this study was to highlight the new conditioning beverage of the Lactobacillus pentosus strain b240 (B240) with electrolytes or proteins, which strengthens immune functions to improve the quality of life. [Methods] ISeveral related studies systematically reviews three main issues associated with conditioning beverages: (a) utilization and availability of the functional beverage; (b) significance of B240 in immune strengthening; and (c) availability and application of conditioning drinks in the daily life and sports field. [Results] Intake of B240 led to greater enhancements, including blood T-helper, NK cell, IgA and IgG level in conjunction with strengthen immune functions. These results speculated that the practical application of B240 contained beverages on physiological health and performance. [Conclusion] BODYMAINTÉ, this novel conditioning beverage is expected biological utility responsible for improved sports performance as a functional drink and has potential health-related implications.

• Journal of Acupuncture Research
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• v.41 no.1
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• pp.63-68
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• 2024

Background: Facial nerve palsy presents a significant healthcare challenge, impacting daily life and social interactions. This systematic review investigates the potential utility of ultrasonography as a diagnostic tool for facial nerve palsy. Methods: Electronic searches will be conducted across various databases, including MEDLINE, EMBASE, CENTRAL (Cochrane Central register of Controlled Trials), CNKI (China National Knowledge Infrastructure), KMBASE (Korean Medical Database), ScienceON, and OASIS (Oriental Medicine Advanced Searching Integrated System), up to February 2024. The primary outcome will focus on ultrasonography-related parameters, such as facial nerve diameter and muscle thickness. Secondary outcomes will encompass clinical measurements, including facial nerve grading scales and electrodiagnostic studies. the risk of bias in individual study will be assessed using the Cochrane Risk of Bias assessment tool, while the grading of recommendations, assessment, development, and evaluations methodology will be utilized to evaluate the overall quality of evidence. Conclusion: This study aims to review existing evidence and evaluate the diagnostic and prognostic value of ultrasonography for peripheral facial nerve palsy.

• Korean Journal of Radiology
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• v.21 no.4
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• pp.387-401
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• 2020

Radiomics and deep learning have recently gained attention in the imaging assessment of various liver diseases. Recent research has demonstrated the potential utility of radiomics and deep learning in staging liver fibroses, detecting portal hypertension, characterizing focal hepatic lesions, prognosticating malignant hepatic tumors, and segmenting the liver and liver tumors. In this review, we outline the basic technical aspects of radiomics and deep learning and summarize recent investigations of the application of these techniques in liver disease.

• Journal of the Korean institute of surface engineering
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• v.57 no.1
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• pp.31-37
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• 2024

The surge in demand for lithium is primarily fueled by the expanding electric vehicle market, the necessity for renewable energy storage, and governmental initiatives aimed at achieving carbon neutrality. This study proposes a straightforward method for lithium extraction utilizing cellulose nanofiber (CNF) via a vacuum filtration process. This approach yields a porous CNF film, showcasing its potential utility as a lithium extractor and indicator. Given its abundance and eco-friendly characteristics, cellulose nanofiber (CNF) emerges as a material offering both economic and environmental advantages over traditional lithium extraction techniques. Hence, this research not only contributes to lithium recovery but also presents a sustainable solution to meet the growing demand for lithium in energy storage technologies.

• Anatomy and Cell Biology
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• v.56 no.2
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• pp.166-178
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• 2023

Undeniably, endothelial cells (EC) contribute to the maintenance of the homeostasis of the organism through modulating cellular physiology, including signaling pathways, through the release of highly active molecules as well as the response to a myriad of extrinsic and intrinsic signaling factors. Review the data from the current literature on the EC role in norm and disease. Endothelium maintains a precise balance between the released molecules, where EC dysfunction arises when the endothelium actions shift toward vasoconstriction, the proinflammatory, prothrombic properties after the alteration of nitric oxide (NO) production and oxidative stress. The functions of the EC are regulated by the negative/positive feedback from the organism, through EC surface receptors, and the crosstalk between NO, adrenergic receptors, and oxidative stress. More than a hundred substances can interact with EC. The EC dysfunction is a hallmark in the emergence and progression of vascular-related pathologies. The paper concisely reviews recent advances in EC (patho) physiology. Grasping EC physiology is crucial to gauge their potential clinical utility and optimize the current therapies as well as to establish novel nanotherapeutic molecular targets include; endothelial receptors, cell adhesion molecules, integrins, signaling pathways, enzymes; peptidases.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.234-241
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• 2024

In higher education, integration of technologies - particularly generative artificial intelligence (AI) such as ChatGPT - has become increasingly widespread, serving numerous purposes to its stakeholders. While users acknowledge the utility of technology, concerns have emerged regarding its misuses. The present study is designed to investigate authentic perspectives and opinions of college freshman students to critically address the relevant concerns, and suggest meaningful solutions. To this end, seven college freshman student participants were recruited in a four-days-long online questionnaire. Their responses indicated that the college student participants appear to find ChatGPT positive in terms of its practicality and usefulness. However, they also showed concerns about a few potential issues (i.e., possible plagiarism and copyright problems). With recommendations the student participants suggested to reduce the aforementioned problems, the article discusses implications of the findings, providing valuable insights into the balance between implementation of AI technologies and dealing with the associated challenges in higher education in general.

• Clinical Endoscopy
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• v.57 no.1
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• pp.24-35
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• 2024

The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.