• Journal of Dental Anesthesia and Pain Medicine
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• v.23 no.6
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• pp.293-302
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• 2023

This review paper delves into the comparative study of epinephrine and phenylephrine as vasoconstrictors in dental anesthesia, exploring their histories, pharmacological properties, and clinical applications. The study involved a comprehensive literature search, focusing on articles that directly compared the two agents in terms of efficacy, safety, and prevalence in dental anesthesia. Epinephrine, with its broad receptor profile, has been a predominant choice, slightly outperforming in the context of prolonging dental anesthesia and providing superior hemostasis, which is crucial for various dental procedures. However, the stimulation of beta-adrenergic receptors caused by epinephrine poses risks, especially to patients with cardiovascular conditions. Phenylephrine, a selective alpha-1 adrenergic agonist, emerges as a safer alternative for such patients, avoiding the cardiovascular risks associated with epinephrine. Moreover, its vasoconstrictive effect may not be as deleterious as that of epinephrine, due to its selective action. This review reveals that despite the potential benefits of phenylephrine, epinephrine continues to dominate in clinical settings, due to its historical familiarity, availability, and cost-effectiveness. The lack of commercially available pre-made phenylephrine dental carpules in most countries, except Brazil, and a knowledge gap within dental academia regarding phenylephrine, contribute to its limited use. This review concludes that while both agents are effective, the choice between them should be based on individual patient conditions, availability, and the practitioner's knowledge and familiarity with the agents. The underuse of other vasoconstrictors like levonordefrin and the unavailability of phenylephrine in pre-mixed dental cartridges in many countries highlights the need for further exploration and research in this field. Furthermore, we also delve into the role of levonordefrin and examine the rationale behind the exclusion of phenylephrine from commercially available pre-mixed local anesthetic carpules, suggesting a need for a responsive approach from pharmaceutical manufacturers to the distinct needs of the dental community.

• Korea Trade Review
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• v.45 no.2
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• pp.1-16
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• 2020

Korea is one of active countries in terms of FTA(Free Trade Agreement) around the globe. Local market is not big enough for Korean companies. This is why Korea is actively participating in FTA with various countries. Individual companies should conform to regulation, policy and system relevant to the agreement. Otherwise, it is not easy for companies to enjoy benefits of FTA. The Korean government is using various FTA programs to support domestic companies, in particular SMEs(Small and Medium-Sized Enterprises). FTA-PASS is a representative program. FTA-PASS is an official program of Korea Customs Service. Korean companies can use the program as free. However, some companies may have difficulties regarding the use of FTA-PASS. The program may cause of compatibility problem related their own ERP(Enterprise Resource Planning) systems. This study is designed to analyze determinants of FTA-PASS and ERP system compatibility. Furthermore this study aims to examine effects of the system compatibility on export performances. This study collected data from Koreas SMEs. In specific, the primary data was based on surveys distributed to 303 SMEs. Based on empirical findings, we could get important determinants to improve compatibility between FTA-PASS and ERP systems. For instance, the government support, product standardization, HS Code clearness and market stability could be considered important determinants. Also, according to empirical findings, a positive relationship between system compatibility an export performance was supported. Analyzing comprehensive determinants of system compatibility can be suggested as an important topic for future research.

• Korea Trade Review
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• v.48 no.4
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• pp.321-342
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• 2023

This study aims to derive policy implications by analyzing the experiences of Korean ICT startups that participated in the government's online export and trade consultation platform, designed to support ICT startups' overseas expansion during the COVID-19 pandemic. The research methodology involved the analysis of semi-structured, in-depth interviews with six startups who participated in an online export and trade consultation platform, using Giorgi's phenomenological methodology. The analysis resulted in the identification of ten subcategories, including two subcategories for each of the five categories. These categories and subcategories offer a comprehensive understanding of the experiences of ICT startups in navigating the online export and trade counseling platforms. The findings suggest that online export and trade consultation platforms for ICT startups offer efficiency benefits by reducing time and space constraints, but they also reveal limitations in terms of practical business continuity. This study holds academic and practical significance by providing insights into how ICT startups navigate online export and trade counseling platforms during the pandemic.

• Journal of Information Science Theory and Practice
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• v.12 no.2
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• pp.1-21
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• 2024

This study aims to develop a comprehensive technological framework anchored in a theoretical model to assess user satisfaction with university library websites (ULWs) in Myanmar. Adopting a quantitative approach, data were obtained via convenience sampling and subsequent inferential analysis. The target population for this study investigated users of various ULWs in Myanmar who were utilizing six university libraries. Of the collected responses, 273 valid surveys were analyzed using SPSS (version 25) and AMOS. Tools such as structural equation modeling and confirmatory factor analysis played pivotal roles in data interpretation and hypothesis validation. The proposed model highlights the significance of information quality, system quality, and librarian services in influencing both perceived usefulness (PU) and perceived ease of use (PEOU), culminating in user satisfaction. Notably, information quality and librarian services primarily impact PU, while system quality is more influential on PEOU. Interestingly, while PU has a direct bearing on user satisfaction, PEOU does not. Moreover, demographic elements such as age, gender, and education level introduce considerable differences in the utilization of ULW services. Drawing from the study's findings, recommendations are made for ULW managers in Myanmar to bolster services, aligning with user preferences. The resulting framework offers tangible benefits to Myanmar's educational sector, including academia, government entities, librarians, and policy framers. This pioneering research delves into the realm of ULWs in Myanmar's higher education sector. Practically, the research underscores the necessity for stakeholders, encompassing Myanmar's library experts and governing bodies, to elevate the standard of ULWs. Theoretically, a salient takeaway is the direct linkage between heightened usefulness and increased user satisfaction.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.15-24
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• 2024

One of the most significant issues in combinatorial optimization is the classical NP-complete conundrum known as the 0/1 Knapsack Problem. This study delves deeply into the investigation of practical solutions, emphasizing two classic algorithmic paradigms, brute force, and dynamic programming, along with the metaheuristic and nature-inspired family algorithm known as the Genetic Algorithm (GA). The research begins with a thorough analysis of the dynamic programming technique, utilizing its ability to handle overlapping subproblems and an ideal substructure. We evaluate the benefits of dynamic programming in the context of the 0/1 Knapsack Problem by carefully dissecting its nuances in contrast to GA. Simultaneously, the study examines the brute force algorithm, a simple yet comprehensive method compared to Branch & Bound. This strategy entails investigating every potential combination, offering a starting point for comparison with more advanced techniques. The paper explores the computational complexity of the brute force approach, highlighting its limitations and usefulness in resolving the 0/1 Knapsack Problem in contrast to the set above of algorithms.

• Journal of the Korea Institute of Building Construction
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• v.24 no.1
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• pp.87-95
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• 2024

This research explores the utilization of Unmanned Aircraft Systems(UAS), or drones, within the construction industry, aiming to assess their current use and forecast their potential impacts. The study endeavors to present a comprehensive overview of approaches to overcome existing barriers to drone implementation. Through the analysis of survey responses and focus group discussions with 21 industry experts, the study reveals a significant recognition among participants of the need for drone adoption and the potential for technological advancement, despite the current limited deployment on construction sites. Participants predict that drones will substantially enhance construction safety and efficiency. The study identifies three primary obstacles to drone integration: 1) the expense associated with setting up a UAS monitoring framework; 2) challenges related to data exchange and management; 3) the necessity for professional training in drone operation. This research contributes valuable insights into the present usage of drones at construction sites, elucidating the anticipated advantages, current impediments, and prospective solutions for drone utilization.

• Korean Journal of Radiology
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• v.24 no.11
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• pp.1061-1080
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• 2023

Artificial intelligence (AI) in radiology is a rapidly developing field with several prospective clinical studies demonstrating its benefits in clinical practice. In 2022, the Korean Society of Radiology held a forum to discuss the challenges and drawbacks in AI development and implementation. Various barriers hinder the successful application and widespread adoption of AI in radiology, such as limited annotated data, data privacy and security, data heterogeneity, imbalanced data, model interpretability, overfitting, and integration with clinical workflows. In this review, some of the various possible solutions to these challenges are presented and discussed; these include training with longitudinal and multimodal datasets, dense training with multitask learning and multimodal learning, self-supervised contrastive learning, various image modifications and syntheses using generative models, explainable AI, causal learning, federated learning with large data models, and digital twins.

• Journal of Ginseng Research
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• v.48 no.4
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• pp.373-383
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• 2024

Background: Network pharmacology has emerged as a powerful tool to understand the therapeutic effects and mechanisms of natural products. However, there is a lack of comprehensive evaluations of network-based approaches for natural products on identifying therapeutic effects and key mechanisms. Purpose: We systematically explore the capabilities of network-based approaches on natural products, using Panax ginseng as a case study. P. ginseng is a widely used herb with a variety of therapeutic benefits, but its active ingredients and mechanisms of action on chronic diseases are not yet fully understood. Methods: Our study compiled and constructed a network focusing on P. ginseng by collecting and integrating data on ingredients, protein targets, and known indications. We then evaluated the performance of different network-based methods for summarizing known and unknown disease associations. The predicted results were validated in the hepatic stellate cell model. Results: We find that our multiscale interaction-based approach achieved an AUROC of 0.697 and an AUPR of 0.026, which outperforms other network-based approaches. As a case study, we further tested the ability of multiscale interactome-based approaches to identify active ingredients and their plausible mechanisms for breast cancer and liver cirrhosis. We also validated the beneficial effects of unreported and top-predicted ingredients, in cases of liver cirrhosis and gastrointestinal neoplasms. Conclusion: our study provides a promising framework to systematically explore the therapeutic effects and key mechanisms of natural products, and highlights the potential of network-based approaches in natural product research.

• Korean Journal of Clinical Pharmacy
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• v.34 no.1
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• pp.39-61
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• 2024

Background: The Food and Drug Administration (FDA), the European Medicines Agency (EMA), and the Ministry of Food and Drug Safety (MFDS) have been implementing the expedited programs that promote the innovative approval of new medications to be used for serious diseases. The authors comprehensively investigated, analyzed, and compared the regulations and guidelines associated with the expedited programs. Methods: The expedited programs for innovative drug development and approval were searched from the homepages of FDA, EMA and MFDS. The detailed information on the regulations and guidelines associated with the programs was comprehensively extracted from various electronic repositories of each regulatory authority. The information on each program was analyzed, categorized, and compared from the points of benefits, applicability with scientific rationale, application procedure, and maintenance. Results: FDA's programs include Fast Track Designation, Breakthrough Therapy Designation, Priority Review Designation, and Accelerated Approval. EMA's regulation implements PRIority MEdicines (PRIME), Accelerated Assessment, Marketing Authorization under Exceptional Circumstances (MAEC), and Conditional Marketing Authorization (CMA). MFDS has a single Expedited Program. These programs are broadly categorized into those that 1) facilitate early and proactive communication with regulatory authorities, 2) shorten the review time after submitting a marketing application, and 3) temporarily approve a marketing authorization under certain conditions. Conclusion: Each expedited program requires a different level and amount of safety and efficacy evidence to be submitted to each regulatory authority. This article will likely provide the comprehensive information on which program provides scientific and regulatory advantages to be taken for innovative medication development.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.26 no.6
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• pp.97-115
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• 2023

Ecosystem services (ES) are the benefits that people obtain from ecosystems. Traditional ES assessment methods have focused on the supply of ES, using biophysical data. However, these methods often fail to capture the full value of ES, which is also determined by social and cultural factors. This study proposes a new approach to ES assessment that incorporates socio-cultural perspectives. The study was conducted in Seoul, South Korea. A survey was conducted of 1,805 residents of Seoul to assess their satisfaction with ecosystem services. Exploratory factor analysis was used to identify bundles of ES that were perceived as important by residents. A revised importance-satisfaction analysis was used to calculate the urgency level of each bundle. The results of the study showed that the 21 ES that were considered in the survey could be grouped into three bundles: urban green area-based, biodiversity-based, and resilience-based. The urgency level analysis showed that some bundles were more important than others, and that some bundles were more urgent than others. The findings of this study have several implications. First, they suggest that a socio-cultural approach to ES assessment can provide a more comprehensive and accurate assessment of ES. Second, they show that this approach can be used to identify areas where ES management is most needed. Third, they suggest that this approach could be used to inform ES management and policy decisions.