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Epidemiology of Facial Bone Fractures During the Coronavirus Disease 2019 Pandemic: A Single Korean Level I Trauma Center Study

  • Kim, Min Ji;Yang, Kyung Min;Lim, Hyoseob
    • Journal of Trauma and Injury
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    • v.34 no.4
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    • pp.233-241
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    • 2021
  • Purpose: The medical community has been heavily impacted by the coronavirus disease 2019 pandemic. The management of facial trauma patients has been affected by the patient capacity of emergency rooms. In this study, we share our experiences of facial trauma management during the social lockdown period and investigate the epidemiological changes in facial bone fractures. Methods: A total of 997 patients who presented to Ajou University Hospital Emergency Center and were evaluated by plastic or maxillofacial surgeons for facial trauma were included in this retrospective study. Our study design was a comparative study of two groups: the 2019 group (control) and the 2020 group (the experimental group that experienced social lockdown). Results: The total number of emergency room inpatients reflected the national pandemic trends with three peaks in patient numbers. According to these trends, facial bone fractures had two different low points in August 2020 and December 2020. A comparison of the 2019 and 2020 facial bone fractures did not show a statistically significant difference in the total number of patients. An analysis of the causes of trauma showed that domestic accidents increased in 2020 (30.92%; p<0.001). Among the anatomical sites of facial injury in surgical patients, the frontozygomatic complex fracture increased the most in 2020 (p=0.018). Facial injuries with two separate sites of injury or with three or more involved sites also showed a significant increase in 2020 (p<0.001). Conclusions: We demonstrated that the incidence of facial trauma patients correlated with the incidence of patients presenting to the emergency department and that facial trauma is inextricably related to multi-trauma cases. Domestic accidents and facial trauma with multiple anatomically involved sites are increasing trends that need more attention.

Picropodophyllotoxin Induces G1 Cell Cycle Arrest and Apoptosis in Human Colorectal Cancer Cells via ROS Generation and Activation of p38 MAPK Signaling Pathway

  • Lee, Seung-On;Kwak, Ah-Won;Lee, Mee-Hyun;Seo, Ji-Hye;Cho, Seung-Sik;Yoon, Goo;Chae, Jung-Il;Joo, Sang Hoon;Shim, Jung-Hyun
    • Journal of Microbiology and Biotechnology
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    • v.31 no.12
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    • pp.1615-1623
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    • 2021
  • Picropodophyllotoxin (PPT), an epimer of podophyllotoxin, is derived from the roots of Podophyllum hexandrum and exerts various biological effects, including anti-proliferation activity. However, the effect of PPT on colorectal cancer cells and the associated cellular mechanisms have not been studied. In the present study, we explored the anticancer activity of PPT and its underlying mechanisms in HCT116 cells. The 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay was used to monitor cell viability. Flow cytometry was used to evaluate cell cycle distribution, the induction of apoptosis, the level of reactive oxygen species (ROS), assess the mitochondrial membrane potential (Δψm), and multi-caspase activity. Western blot assays were performed to detect the expression of cell cycle regulatory proteins, apoptosis-related proteins, and p38 MAPK (mitogen-activated protein kinase). We found that PPT induced apoptosis, cell cycle arrest at the G1 phase, and ROS in the HCT116 cell line. In addition, PPT enhanced the phosphorylation of p38 MAPK, which regulates apoptosis and PPT-induced apoptosis. The phosphorylation of p38 MAPK was inhibited by an antioxidant agent (N-acetyl-L-cysteine, NAC) and a p38 inhibitor (SB203580). PPT induced depolarization of the mitochondrial inner membrane and caspase-dependent apoptosis, which was attenuated by exposure to Z-VAD-FMK. Overall, these data indicate that PPT induced G1 arrest and apoptosis via ROS generation and activation of the p38 MAPK signaling pathway.

Technology Transfer Process of Daegu Automotive Parts Industry (대구 자동차부품산업의 기술이전 프로세스)

  • Kim, Hyo-Mi
    • Journal of the Economic Geographical Society of Korea
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    • v.25 no.1
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    • pp.61-86
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    • 2022
  • This paper analyzes the technology transfer mechanism of companies clustered in a specific economic space from the perspective of absorptive capacity, taking the Daegu automotive parts industry as an example. According to the analysis results, The absorptive capacity of a company was found to be positively related to the supplier, channel, method, and institutional interaction of technology transfer. Low absorptive capacity limits technology transfer by reducing companies' technology search capabilities, while high absorptive capacity gives companies access to technology search and various technology transfer opportunities through formal and informal channels. These results suggest that, in the short term, it is necessary to supplement the search capabilities of companies through preemptive visiting services of local intermediaries for the vitalization of regional technology transfer, while in the long term, a policy approach focusing on enhancing the absorptive capacity of local companies is required. For effective implementation of these policies, a multi-layered governance approach corresponding to each level of companies' absorptive capacities is required in establishing an interface structure that promotes linkage between institutional actors.

ESTIMATION OF NITROGEN-TO-IRON ABUNDANCE RATIOS FROM LOW-RESOLUTION SPECTRA

  • Kim, Changmin;Lee, Young Sun;Beers, Timothy C.;Masseron, Thomas
    • Journal of The Korean Astronomical Society
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    • v.55 no.2
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    • pp.23-36
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    • 2022
  • We present a method to determine nitrogen abundance ratios with respect to iron ([N/Fe]) from molecular CN-band features observed in low-resolution (R ~ 2000) stellar spectra obtained by the Sloan Digital Sky Survey (SDSS) and the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST). Various tests are carried out to check the systematic and random errors of our technique, and the impact of signal-to-noise (S/N) ratios of stellar spectra on the determined [N/Fe]. We find that the uncertainty of our derived [N/Fe] is less than 0.3 dex for S/N ratios larger than 10 in the ranges Teff = [4000, 6000] K, log g = [0.0, 3.5], [Fe/H] = [-3.0, 0.0], [C/Fe] = [-1.0, +4.5], and [N/Fe] = [-1.0, +4.5], the parameter space that we are interested in to identify N-enhanced stars in the Galactic halo. A star-by-star comparison with a sample of stars with [N/Fe] estimates available from the Apache Point Observatory Galactic Evolution Experiment (APOGEE) also suggests a similar level of uncertainty in our measured [N/Fe], after removing its systematic error. Based on these results, we conclude that our method is able to reproduce [N/Fe] from low-resolution spectroscopic data, with an uncertainty sufficiently small to discover N-rich stars that presumably originated from disrupted Galactic globular clusters.

An Intelligent Game Theoretic Model With Machine Learning For Online Cybersecurity Risk Management

  • Alharbi, Talal
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.390-399
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    • 2022
  • Cyber security and resilience are phrases that describe safeguards of ICTs (information and communication technologies) from cyber-attacks or mitigations of cyber event impacts. The sole purpose of Risk models are detections, analyses, and handling by considering all relevant perceptions of risks. The current research effort has resulted in the development of a new paradigm for safeguarding services offered online which can be utilized by both service providers and users. customers. However, rather of relying on detailed studies, this approach emphasizes task selection and execution that leads to successful risk treatment outcomes. Modelling intelligent CSGs (Cyber Security Games) using MLTs (machine learning techniques) was the focus of this research. By limiting mission risk, CSGs maximize ability of systems to operate unhindered in cyber environments. The suggested framework's main components are the Threat and Risk models. These models are tailored to meet the special characteristics of online services as well as the cyberspace environment. A risk management procedure is included in the framework. Risk scores are computed by combining probabilities of successful attacks with findings of impact models that predict cyber catastrophe consequences. To assess successful attacks, models emulating defense against threats can be used in topologies. CSGs consider widespread interconnectivity of cyber systems which forces defending all multi-step attack paths. In contrast, attackers just need one of the paths to succeed. CSGs are game-theoretic methods for identifying defense measures and reducing risks for systems and probe for maximum cyber risks using game formulations (MiniMax). To detect the impacts, the attacker player creates an attack tree for each state of the game using a modified Extreme Gradient Boosting Decision Tree (that sees numerous compromises ahead). Based on the findings, the proposed model has a high level of security for the web sources used in the experiment.

The Relationship between Social Participation, Cognitive Function, and Depression of Middle and old People Living Alone And Group Comparison according to Cognitive Function Level (독거 중고령자의 사회참여, 인지기능, 우울의 관계 및 인지기능 수준에 따른 집단비교)

  • Shin, Sang Ye;Lee, Eunsuk
    • The Journal of the Korea Contents Association
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    • v.22 no.3
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    • pp.529-537
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    • 2022
  • The purpose of this study was to analyze the relationship between social participation activities, cognitive function, and depression of middle and old single-person households in consideration of social problems such as aging population and increasing single-person households. For the analysis, path analysis and multi-group analysis were conducted. As a result of the analysis, it was found that social participation activities of middle and old single-person households reduced depression through increased cognitive function, and the positive effects of social participation activities were stronger in groups of dementia. Based on these results, we discussed ways to promote social participation activities, implications for developing programs that can help cognitive function or mental health, and suggested the need for programs or treatment methods to promote social participation rather than isolated treatment in nursing facilities.

Research on Embodied Carbon Emission in Sino-Korea Trade based on MRIO Model

  • Song, Jie;Kim, Yeong-Gil
    • Journal of Korea Trade
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    • v.25 no.2
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    • pp.58-74
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    • 2021
  • Purpose - This paper research on the embodied carbon emission in Sino-Korea trade. It calculates and analyzes the carbon emission coefficient and specific carbon emissions in Sino-Korea trade from 2005 to 2014. Design/methodology - This paper conducted an empirical analysis for embodied carbon emission in Sino-Korea trade during the years 2005-2014, using a multi-region input-output model. First, direct and complete CO2 emission coefficient of the two countries were calculated and compared. On this basis, combined with the world input-output table, the annual import and export volume and sector volume of embodied carbon emission are determined. Then through the comparative analysis of the empirical results, the reasons for the carbon imbalance in Sino-Korea trade are clarified, and the corresponding suggestions are put forward according to the environmental protection policies being implemented by the two countries. Findings - The results show that South Korea is in the state of net trade export and net embodied carbon import. The carbon emission coefficient of most sectors in South Korea is lower than that of China. However, the reduction of carbon emission coefficient in China is significantly faster than that in South Korea in this decade. The change of Korea's complete CO2 emission coefficient shows that policy factors have a great impact on environmental protection. The proportion of intra industry trade between China and South Korea is relatively large and concentrated in mechanical and electrical products, chemical products, etc. These sectors generally have large carbon emissions, which need to be noticed by both countries. Originality/value - To the best knowledge of the authors, this study is the first attempt to research the embodied carbon emission of ten consecutive years in Sino-Korea Trade. In addition, In this paper, some mathematical methods are used to overcome the error problem caused by different statistical caliber in different databases. Finally, the accurate measurement of carbon level in bilateral trade will provide some reference for trade development and environmental protection.

Analysis and Advice on Cache Algorithms of SSD FTL (SSD FTL 캐시 알고리즘 분석 및 제언)

  • Hyung Bong, Lee;Tae Yun, Chung
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.1
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    • pp.1-8
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    • 2023
  • It is impossible to overwrite on an already allocated page in SSDs, so whenever a write operation occurs a page replacement with a clean page is required. To resolve this problem, SSDs have an internal flash translation layer called FTL that maps logical pages managed by a file system of operating system to currently allocated physical pages. SSD pages discarded due to write operations must be recycled through initialization, but since the number of initialization times is limited the FTL provides a caching function to reduce the number of writes in addition to the page mapping function, which is a core function. In this study, we focus on the FTL cache methodologies reducing the number of page writes and analyze the related algorithms, and propose a write-only cache strategy. As a result of experimenting with the write-only cache using a simulator, it showed an improvement of up to 29%.

Development of Easy-to-Use Crane-Tip Controller for Forestry Crane

  • Ki-Duck, Kim;Beom-Soo, Shin
    • Journal of Forest and Environmental Science
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    • v.38 no.4
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    • pp.239-248
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    • 2022
  • Forestry crane work in a forest harvester or forwarder is regarded as one of most hard work requiring a very high level of operation skill. The operator must handle two or more multi-axes joysticks simultaneously to control the multiple manipulators for maneuvering the crane-tip to its intended location. This study has been carried out to develop a crane-tip controller which can intuitively maneuver the crane-tip, resulting in improving the productivity by decreasing the technical difficulty of control as well as reducing the workload. The crane-tip controller consists of a single 2-axis joystick and a control algorithm run on microcontroller. Lab-scale forestry crane was constructed using electric cylinders. The crane-tip control algorithm has the crane-tip follow the waypoints generated on the given path considering the dead band region using LBO (Lateral Boundary Offset). A speed control gain to change the speed of relevant cylinders relatively is applied as well. By the P (Proportional) control within the control interval of 20 msec, the average error of crane-tip control on the predefined straight path turned out to be 14.5 mm in all directions. When the joystick is used the waypoints are generated in real time by the direction signal from the joystick. In this case, the average error of path control was 12.4 mm for straight up, straight forward and straight down movements successively at a certain constant speed setting. In the slant movement of crane-tip by controlling two axes of joystick simultaneously, the movement of crane-tip was controlled in the average error of 15.9 mm when the crane-tip is moved up and down while moving toward forward direction. It concluded that the crane-tip control was possible using the control algorithm developed in this study.

Efficient Forest Fire Detection using Rule-Based Multi-color Space and Correlation Coefficient for Application in Unmanned Aerial Vehicles

  • Anh, Nguyen Duc;Van Thanh, Pham;Lap, Doan Tu;Khai, Nguyen Tuan;Van An, Tran;Tan, Tran Duc;An, Nguyen Huu;Dinh, Dang Nhu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.381-404
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    • 2022
  • Forest fires inflict great losses of human lives and serious damages to ecological systems. Hence, numerous fire detection methods have been proposed, one of which is fire detection based on sensors. However, these methods reveal several limitations when applied in large spaces like forests such as high cost, high level of false alarm, limited battery capacity, and other problems. In this research, we propose a novel forest fire detection method based on image processing and correlation coefficient. Firstly, two fire detection conditions are applied in RGB color space to distinguish between fire pixels and the background. Secondly, the image is converted from RGB to YCbCr color space with two fire detection conditions being applied in this color space. Finally, the correlation coefficient is used to distinguish between fires and objects with fire-like colors. Our proposed algorithm is tested and evaluated on eleven fire and non-fire videos collected from the internet and achieves up to 95.87% and 97.89% of F-score and accuracy respectively in performance evaluation.