• Title/Summary/Keyword: Consequences

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Utilizing Mean Teacher Semi-Supervised Learning for Robust Pothole Image Classification

  • Inki Kim;Beomjun Kim;Jeonghwan Gwak
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.5
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    • pp.17-28
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    • 2023
  • Potholes that occur on paved roads can have fatal consequences for vehicles traveling at high speeds and may even lead to fatalities. While manual detection of potholes using human labor is commonly used to prevent pothole-related accidents, it is economically and temporally inefficient due to the exposure of workers on the road and the difficulty in predicting potholes in certain categories. Therefore, completely preventing potholes is nearly impossible, and even preventing their formation is limited due to the influence of ground conditions closely related to road environments. Additionally, labeling work guided by experts is required for dataset construction. Thus, in this paper, we utilized the Mean Teacher technique, one of the semi-supervised learning-based knowledge distillation methods, to achieve robust performance in pothole image classification even with limited labeled data. We demonstrated this using performance metrics and GradCAM, showing that when using semi-supervised learning, 15 pre-trained CNN models achieved an average accuracy of 90.41%, with a minimum of 2% and a maximum of 9% performance difference compared to supervised learning.

Prediction of radioactivity releases for a Long-Term Station Blackout event in the VVER-1200 nuclear reactor of Bangladesh

  • Shafiqul Islam Faisal ;Md Shafiqul Islam;Md Abdul Malek Soner
    • Nuclear Engineering and Technology
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    • v.55 no.2
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    • pp.696-706
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    • 2023
  • Consequences of an anticipated Beyond Design Basis Accident (BDBA) Long-Term Station Blackout (LTSBO) event with complete loss of grid power in the VVER-1200 reactor of Rooppur Nuclear Power Plant (NPP) of Unit-1 are assessed using the RASCAL 4.3 code. This study estimated the released radionuclides, received public radiological dose, and ground surface concentration considering 3 accident scenarios of International Nuclear and Radiological Event Scale (INES) level 7 and two meteorological conditions. Atmospheric transport, dispersion, and deposition processes of released radionuclides are simulated using a straight-line trajectory Gaussian plume model for short distances and a Gaussian puff model for long distances. Total Effective Dose Equivalent (TEDE) to the public within 40 km and radionuclides contribution for three-dose pathways of inhalation, cloudshine, and groundshine owing to airborne releases are evaluated considering with and without passive safety Emergency Core Cooling System (ECCS) in dry (winter) and wet (monsoon) seasons. Source term and their release rates are varied with the functional duration of passive safety ECCS. In three accident scenarios, the TEDE of 10 mSv and above are confined to 8 km and 2 km for the wet and dry seasons, respectively in the downwind direction. The groundshine dose is the most dominating in the wet season while the inhalation dose is in the dry season. Total received doses and surface concentration in the wet season near the plant are higher than those in the dry season due to the deposition effect of rain on the radioactive substances.

Concept analysis of transition to motherhood: a methodological study

  • Hwang, Woon Young;Choi, Sun Yeob;An, Hae Jeong
    • Women's Health Nursing
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    • v.28 no.1
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    • pp.8-17
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    • 2022
  • Purpose: Although the term "transition to motherhood" is commonly used in research, the concept is not clear. This study, hence, was conducted to clarify the concept of "transition to motherhood." Methods: The concept analysis framework developed by Walker and Avant is used to analyze the concept of transition to motherhood. Results: Transition to motherhood is defined as the physical, psychological, social, and relational (mother-baby relationship/interpersonal relationship) changes that happen to a woman after pregnancy and delivery of a baby. The attributes of the transition to motherhood include: 1) adapting to physical changes after pregnancy and childbirth; 2) experiencing various psychological changes; 3) changing of her social perception from being a woman to someone's mother; and 4) forming and developing a relationship with the newborn, adjusting priorities, and redefining the relationship between family and others. Meeting the newborn is regarded as an antecedent of the transition to motherhood. Redefining identity and physical image, ensuring mother's well-being, maternal attachment, and confidence in the maternal role are regarded as consequences of the transition to motherhood. The concept was clarified by the presentation of model, borderline, and contrary cases. Conclusion: The significance of this study lies in the clarification of the concept of transition to motherhood and defining its attributes. It is recommended that tools be developed to measure transition to motherhood based on the results of this study. Furthermore, nurses and midwives can use study findings to better understand the concept of transition to motherhood in providing care and support to mothers who experience it.

Comparative Study on the Perspectives of Educational Experts and the Public on the Educational Policy -Using the Semantic Network Analysis and Overlay Mapping- (교육정책에서의 교육전문가와 대중의 관점 비교 -의미연결망과 중첩맵 분석을 활용하여-)

  • Lee, Jin Suk
    • Journal of Digital Convergence
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    • v.20 no.3
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    • pp.105-115
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    • 2022
  • This study compares the perspectives of experts and the public on the 2015 revised curriculum. To do this, research papers and newspaper articles were collected from October 2013 to May 2020. During this period, 1152 research papers and 692 newspaper articles were collected, and semantic network analysis was performed. As a result of the study, the educational expert group showed great interest in the core concept of the development of the revised curriculum focused on the abstract concept, while the public focused on the practical problems and consequences of the revision rather than the development of the revised curriculum itself. These results not only show the gap between the perspectives of the educational expert group and the public but also raise the need for effective communication to bridge the gap.

Current Update of Cartilage Regeneration Using Stem Cells in Osteoarthritis (골관절염에서 줄기세포를 이용한 연골 재생의 최신 지견)

  • Seon, Jong-Keun;Choi, Ik-Sun;Ko, Jee-Wook
    • Journal of the Korean Orthopaedic Association
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    • v.54 no.6
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    • pp.478-489
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    • 2019
  • Osteoarthritis is a disease characterized by the progression of articular cartilage erosion, that increases pain during joint motion and reduces the ability to withstand mechanical stress, which in turn limits joint mobility and function. Damage to articular cartilage due to trauma or degenerative injury is considered a major cause of arthritis. Numerous studies and attempts have been made to regenerate articular cartilage. In the case of partial degenerative cartilage changes, microfracture and autologous chondrocyte implantation have been proposed as surgical treatment methods, but they have disadvantages such as insufficient mutual binding to the host cells, inaccurate cell delivery, and deterioration of healthy cartilage. Stem cell-based therapies have been developed to compensate for this. This review summarizes the drawbacks and consequences of various cartilage regeneration methods and describes the various attempts to treat cartilage damage. In addition, this review will discuss cartilage regeneration, particularly mesenchymal stem cell engineering-based therapies, and explore how to treat future cartilage regeneration using mesenchymal stem cells.

Evaluating the impacts of extreme agricultural droughts under climate change in Hung-up watershed, South Korea

  • Sadiqi, Sayed Shajahan;Hong, Eun-Mi;Nam, Wan-Ho
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.143-143
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    • 2021
  • Climate change indicators, mainly frequent drought which has happened since the drought of 1994, 1995, and 2012 causing the devastating effect to the agricultural sector, and could be more disruptive given the context of climate change indicators by increasing the temperature and more variable and extreme precipitation. Changes in frequency, duration, and severity of droughts will have enormous impacts on agriculture production and water management. Since both the possibility of drought manifestation and substantial yield losses, we are propositioning an integrated method for evaluating past and future agriculture drought hazards that depend on models' simulations in the Hung-up watershed. to discuss the question of how climate change might influence the impact of extreme agriculture drought by assessing the potential changes in temporal trends of agriculture drought. we will calculate the temporal trends of future drought through drought indices Standardized Precipitation Evapotranspiration Index, Standardized Precipitation Index, and Palmer drought severity index by using observed data of (1991-2020) from Wonju meteorological station and projected climate change scenarios (2021-2100) of the Representative Concentration Pathways models (RCPs). expected results confirmed the frequency of extreme agricultural drought in the future projected to increase under all studied RCPs. at present 100 years drought is anticipated to happen since the result showing under RCP2.6 will occur every 24 years, RCP4.5 every 17 years, and RCPs8.5 every 7 years, and it would be double in the largest warming scenarios. On another side, the result shows unsupportable water management, could cause devastating consequences in both food production and water supply in extreme events. Because significant increases in the drought magnitude and severity like to be initiate at different time scales for each drought indicator. Based on the expected result that the evaluating the impacts of extreme agricultural droughts and recession could be used for the development of proactive drought risk management, policies for future water balance, prioritize sustainable strengthening and mitigation strategies.

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The Prevalence of Retirement Planning Among Women in Malaysia - A Conceptual Article

  • DAUKIN, Mellisa;MOHD ISA, Mohd Yaziz;MOHAMED, Zulkifflee
    • Journal of Wellbeing Management and Applied Psychology
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    • v.5 no.4
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    • pp.1-9
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    • 2022
  • Purpose: Many people recognize the fact that women are basically poor at financial and retirement planning. A small number of scholars have explored the factors and situations that influence the level of awareness of pre-retirement women and men with regards to planning for their retirement years. In most developing countries, including Malaysia, there are more men in the younger segment of the population and more women in the older segment, since women tend to live longer than men due to having jobs of relatively lower risk, their behaviors, and activities. Research design, data and methodology: Given that it is hard to predict whether they will be healthy in old age, women may require additional resources to obtain the care and assistance that they need. The transition from career life into retirement is a long process for people to go through. Some may be able to prepare for the next stage of life, and some may not be able to prepare due to personal reasons. Planning for future retirement is important because it will affect the quality of a woman's life after a certain age. Results: Without proper planning, women may face financial instability, depression, and poor psychological well-being. However, many women are unaware of their financial status or do not know their family's financial status, such as tracking the main income, budget, and expenses, financial commitments and have no proper record of assets owned, loans owed, or updated loan balances. Conclusions: The findings of this research have led to the conclusion that pre-retiree women are likely to regard their retirement savings as sufficient without realizing that they should have at least several types of savings instead of just one, and the grave consequences of not having any savings at all for their retirement years.

COVID-19 progression towards ARDS: a genome wide study reveals host factors underlying critical COVID-19

  • Shama Mujawar;Gayatri Patil;Srushti Suthar;Tanuja Shendkar;Vaishnavi Gangadhar
    • Genomics & Informatics
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    • v.21 no.2
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    • pp.16.1-16.14
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    • 2023
  • Coronavirus disease 2019 (COVID-19) is a viral infection produced by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus epidemic, which was declared a global pandemic in March 2020. The World Health Organization has recorded around 43.3 billion cases and 59.4 million casualties to date, posing a severe threat to global health. Severe COVID-19 indicates viral pneumonia caused by the SARS-CoV-2 infections, which can induce fatal consequences, including acute respiratory distress syndrome (ARDS). The purpose of this research is to better understand the COVID-19 and ARDS pathways, as well as to find targeted single nucleotide polymorphism. To accomplish this, we retrieved over 100 patients' samples from the Sequence Read Archive, National Center for Biotechnology Information. These sequences were processed through the Galaxy server next generation sequencing pipeline for variant analysis and then visualized in the Integrative Genomics Viewer, and performed statistical analysis using t-tests and Bonferroni correction, where six major genes were identified as DNAH7, CLUAP1, PPA2, PAPSS1, TLR4, and IFITM3. Furthermore, a complete understanding of the genomes of COVID-19-related ARDS will aid in the early identification and treatment of target proteins. Finally, the discovery of novel therapeutics based on discovered proteins can assist to slow the progression of ARDS and lower fatality rates.

DGA-based Botnet Detection Technology using N-gram (N-gram을 활용한 DGA 기반의 봇넷 탐지 방안)

  • Jung Il Ok;Shin Deok Ha;Kim Su Chul;Lee Rock Seok
    • Convergence Security Journal
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    • v.22 no.5
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    • pp.145-154
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    • 2022
  • Recently, the widespread proliferation and high sophistication of botnets are having serious consequences not only for enterprises and users, but also for cyber warfare between countries. Therefore, research to detect botnets is steadily progressing. However, the DGA-based botnet has a high detection rate with the existing signature and statistics-based technology, but also has a high limit in the false positive rate. Therefore, in this paper, we propose a detection model using text-based n-gram to detect DGA-based botnets. Through the proposed model, the detection rate, which is the limit of the existing detection technology, can be increased and the false positive rate can also be minimized. Through experiments on large-scale domain datasets and normal domains used in various DGA botnets, it was confirmed that the performance was superior to that of the existing model. It was confirmed that the false positive rate of the proposed model is less than 2 to 4%, and the overall detection accuracy and F1 score are both 97.5%. As such, it is expected that the detection and response capabilities of DGA-based botnets will be improved through the model proposed in this paper.

A Study on the Effect and Determinants of Virtual Presence in Live Commerce: Focusing on the Characteristics of Live Shopping Media and Influencers (라이브커머스에서 가상실재감의 효과와 결정요인 연구: 라이브쇼핑 매체 및 인플루언서 특성을 중심으로)

  • Choi, Su Jeong;Kim, Tae Kyung
    • The Journal of Information Systems
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    • v.32 no.1
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    • pp.23-51
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    • 2023
  • Purpose: Live commerce is a new type of electronic commerce in combination with live streaming services. It is expected to increase virtual presence in the context of online shopping by overcoming a lack of social interactions between sellers and buyers which have been raised as a limitation in electronic commerce. Drawing on the studies of communication media, this study examines how live commerce contributes to the increase of virtual presence which consists of telepresence and social presence. Telepresence refers to a buyer's perception that he or she is present at the physical shopping mall during live shopping streaming whereas social presence refers to a buyer's perception of social interaction with a seller which is human warm, social, sensitive, and personal. In this study, we verify key determinants of virtual presence and its consequences. More specifically, this study proposes virtual presence contributes to the increase of buyers' trust in products and further purchase intentions. Furthermore, we verify influential factors of virtual presence from the technical and influencer perspectives of live commerce. Design/methodology/approach: To test the proposed hypotheses, the partial least squares (PLS) analysis is conducted with a total of 250 data collected on users with experience in the TaoBao live streaming shopping platform. Findings: The results show that first, telepresence and social presence are increased by visibility, media richness and attractiveness in the context of live shopping streaming. Second, buyers' trust in product trust and purchase intentions are positively influenced by telepresence and social presence. Finally, buyers' trust in product has a direct, positve effect on their purchase intentions. Overall, the findings offer new insights into the studies of electronic commerce by introducting the concepts of virtual presence and media richness from the literature of communication media in the field of live commerce.