• Title/Summary/Keyword: data-based model

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Comparative analysis on darcy-forchheimer flow of 3-D MHD hybrid nanofluid (MoS2-Fe3O4/H2O) incorporating melting heat and mass transfer over a rotating disk with dufour and soret effects

  • A.M. Abd-Alla;Esraa N. Thabet;S.M.M.El-Kabeir;H. A. Hosham;Shimaa E. Waheed
    • Advances in nano research
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    • v.16 no.4
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    • pp.325-340
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    • 2024
  • There are several novel uses for dispersing many nanoparticles into a conventional fluid, including dynamic sealing, damping, heat dissipation, microfluidics, and more. Therefore, melting heat and mass transfer characteristics of a 3-D MHD Hybrid Nanofluid flow over a rotating disc with presenting dufour and soret effects are assessed numerically in this study. In this instance, we investigated both ferric sulfate and molybdenum disulfide as nanoparticles suspended within base fluid water. The governing partial differential equations are transformed into linked higher-order non-linear ordinary differential equations by the local similarity transformation. The collection of these deduced equations is then resolved using a Chebyshev spectral collocation-based algorithm built into the Mathematica software. To demonstrate how different instances of hybrid/ nanofluid are impacted by changes in temperature, velocity, and the distribution of nanoparticle concentration, examples of graphical and numerical data are given. For many values of the material parameters, the computational findings are shown. Simulations conducted for different physical parameters in the model show that adding hybrid nanoparticle to the fluid mixture increases heat transfer in comparison to simple nanofluids. It has been identified that hybrid nanoparticles, as opposed to single-type nanoparticles, need to be taken into consideration to create an effective thermal system. Furthermore, porosity lowers the velocities of simple and hybrid nanofluids in both cases. Additionally, results show that the drag force from skin friction causes the nanoparticle fluid to travel more slowly than the hybrid nanoparticle fluid. The findings also demonstrate that suction factors like magnetic and porosity parameters, as well as nanoparticles, raise the skin friction coefficient. Furthermore, It indicates that the outcomes from different flow scenarios correlate and are in strong agreement with the findings from the published literature. Bar chart depictions are altered by changes in flow rates. Moreover, the results confirm doctors' views to prescribe hybrid nanoparticle and particle nanoparticle contents for achalasia patients and also those who suffer from esophageal stricture and tumors. The results of this study can also be applied to the energy generated by the melting disc surface, which has a variety of industrial uses. These include, but are not limited to, the preparation of semiconductor materials, the solidification of magma, the melting of permafrost, and the refreezing of frozen land.

Deep Learning Algorithm for Simultaneous Noise Reduction and Edge Sharpening in Low-Dose CT Images: A Pilot Study Using Lumbar Spine CT

  • Hyunjung Yeoh;Sung Hwan Hong;Chulkyun Ahn;Ja-Young Choi;Hee-Dong Chae;Hye Jin Yoo;Jong Hyo Kim
    • Korean Journal of Radiology
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    • v.22 no.11
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    • pp.1850-1857
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    • 2021
  • Objective: The purpose of this study was to assess whether a deep learning (DL) algorithm could enable simultaneous noise reduction and edge sharpening in low-dose lumbar spine CT. Materials and Methods: This retrospective study included 52 patients (26 male and 26 female; median age, 60.5 years) who had undergone CT-guided lumbar bone biopsy between October 2015 and April 2020. Initial 100-mAs survey images and 50-mAs intraprocedural images were reconstructed by filtered back projection. Denoising was performed using a vendor-agnostic DL model (ClariCT.AITM, ClariPI) for the 50-mAS images, and the 50-mAs, denoised 50-mAs, and 100-mAs CT images were compared. Noise, signal-to-noise ratio (SNR), and edge rise distance (ERD) for image sharpness were measured. The data were summarized as the mean ± standard deviation for these parameters. Two musculoskeletal radiologists assessed the visibility of the normal anatomical structures. Results: Noise was lower in the denoised 50-mAs images (36.38 ± 7.03 Hounsfield unit [HU]) than the 50-mAs (93.33 ± 25.36 HU) and 100-mAs (63.33 ± 16.09 HU) images (p < 0.001). The SNRs for the images in descending order were as follows: denoised 50-mAs (1.46 ± 0.54), 100-mAs (0.99 ± 0.34), and 50-mAs (0.58 ± 0.18) images (p < 0.001). The denoised 50-mAs images had better edge sharpness than the 100-mAs images at the vertebral body (ERD; 0.94 ± 0.2 mm vs. 1.05 ± 0.24 mm, p = 0.036) and the psoas (ERD; 0.42 ± 0.09 mm vs. 0.50 ± 0.12 mm, p = 0.002). The denoised 50-mAs images significantly improved the visualization of the normal anatomical structures (p < 0.001). Conclusion: DL-based reconstruction may enable simultaneous noise reduction and improvement in image quality with the preservation of edge sharpness on low-dose lumbar spine CT. Investigations on further radiation dose reduction and the clinical applicability of this technique are warranted.

Analysis of Infrared Characteristics According to Common Depth Using RP Images Converted into Numerical Data (수치 데이터로 변환된 RP 이미지를 활용하여 공동 깊이에 따른 적외선 특성 분석)

  • Jang, Byeong-Su;Kim, YoungSeok;Kim, Sewon;Choi, Hyun-Jun;Yoon, Hyung-Koo
    • Journal of the Korean Geotechnical Society
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    • v.40 no.3
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    • pp.77-84
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    • 2024
  • Aging and damaged underground utilities cause cavity and ground subsidence under roads, which can cause economic losses and risk user safety. This study used infrared cameras to assess the thermal characteristics of such cavities and evaluate their reliability using a CNN algorithm. PVC pipes were embedded at various depths in a test site measuring 400 cm × 50 cm × 40 cm. Concrete blocks were used to simulate road surfaces, and measurements were taken from 4 PM to noon the following day. The initial temperatures measured by the infrared camera were 43.7℃, 43.8℃, and 41.9℃, reflecting atmospheric temperature changes during the measurement period. The RP algorithm generates images in four resolutions, i.e., 10,000 × 10,000, 2,000 × 2,000, 1,000 × 1,000, and 100 × 100 pixels. The accuracy of the CNN model using RP images as input was 99%, 97%, 98%, and 96%, respectively. These results represent a considerable improvement over the 73% accuracy obtained using time-series images, with an improvement greater than 20% when using the RP algorithm-based inputs.

Internalization of Constructivistic Science Teaching of Science Teachers Participating in a Collaborative Program Between Teachers and Researchers (교사-연구자간 협력적 연수 프로그램에 참여한 과학 교사의 구성주의적 수업에 대한 내면화 과정)

  • Lee, Eun-Jin;Kim, Chan-Jong;Lee, Sun-Kyung;Jang, Shin-Ho;Kwon, Hong-Jin;Yu, Eun-Jeong
    • Journal of The Korean Association For Science Education
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    • v.27 no.9
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    • pp.854-869
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    • 2007
  • In this study, we investigated secondary science teachers' internalization of constructivistic science teaching who participated in a collaborative program between teachers and researchers designed by researchers according to constructivist views. The program consisted of lecture, workshop, and small group activities. New trends in science education and framework for science teaching were introduced during lectures, and understanding about the framework were deepened by analyzing school science classes recorded during workshops. In small group activities, participating teachers and researchers cooperated to design science lesson plans using science teaching frameworks. Five secondary science teachers participated in collaborative workshops. Collaborative programs were video-taped. Semi-structured interviews were conducted before and after workshops. All data recorded were transcribed and analyzed. In the process of internalization, participating teachers attended on different parts. Various and discernable factors such as there own background, beliefs, values, and school context produced tensions with or facilitated internalization of constructivistic science teaching. Teaching experiences and student understanding affected teachers' lesson planning activities. Teachers also showed different understandings on inquiry, application, and model from the framework, and they interpret those concepts in the framework based on their prior understanding. They perceived that too much content should be dealt within relatively limited time. Therefore, they tended to separate science class into two parts when developing science lessons: explaining science content by lecture and science laboratory as a constructivistic activity. The results of the study provide meaningful implications to the constructivist teacher education and professional development.

Integrative analysis of microRNA-mediated mitochondrial dysfunction in hippocampal neural progenitor cell death in relation with Alzheimer's disease

  • A Reum Han;Tae Kwon Moon;Im Kyeung Kang;Dae Bong Yu;Yechan Kim;Cheolhwan Byon;Sujeong Park;Hae Lin Kim;Kyoung Jin Lee;Heuiran Lee;Ha-Na Woo;Seong Who Kim
    • BMB Reports
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    • v.57 no.6
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    • pp.281-286
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    • 2024
  • Adult hippocampal neurogenesis plays a pivotal role in maintaining cognitive brain function. However, this process diminishes with age, particularly in patients with neurodegenerative disorders. While small, non-coding microRNAs (miRNAs) are crucial for hippocampal neural stem (HCN) cell maintenance, their involvement in neurodegenerative disorders remains unclear. This study aimed to elucidate the mechanisms through which miRNAs regulate HCN cell death and their potential involvement in neurodegenerative disorders. We performed a comprehensive microarray-based analysis to investigate changes in miRNA expression in insulin-deprived HCN cells as an in vitro model for cognitive impairment. miR-150-3p, miR-323-5p, and miR-370-3p, which increased significantly over time following insulin withdrawal, induced pronounced mitochondrial fission and dysfunction, ultimately leading to HCN cell death. These miRNAs collectively targeted the mitochondrial fusion protein OPA1, with miR-150-3p also targeting MFN2. Data-driven analyses of the hippocampi and brains of human subjects revealed significant reductions in OPA1 and MFN2 in patients with Alzheimer's disease (AD). Our results indicate that miR-150-3p, miR-323-5p, and miR-370-3p contribute to deficits in hippocampal neurogenesis by modulating mitochondrial dynamics. Our findings provide novel insight into the intricate connections between miRNA and mitochondrial dynamics, shedding light on their potential involvement in conditions characterized by deficits in hippocampal neurogenesis, such as AD.

The Effects of the leader's transactional and transformational leadership on life satisfaction for the 119 Rescue workers

  • BYUNG-JUN CHO;IL-SOON CHOI;TAE-HYUN LEE
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.7
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    • pp.159-167
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    • 2024
  • This study analyzed the survey data of 162 rescuers working in G Special Self-Governing Province to find out the effect of the transactional and transformational leadership of 119 rescuer leaders on life satisfaction. As a result of analysis through multiple regression analysis, it was found that the life satisfaction of 119 rescuers was greatly influenced by the leadership style of their leaders. It has been confirmed that transformational and transactional leadership are not independent of each other, and that the appropriate balance of these two leadership approaches has a positive effect on the life satisfaction and organizational life of the rescuers. Therefore, the 119 rescuers' team leaders should create an environment in which transformational and transactional leadership can be balanced. Specifically, transformational leadership should be exercised through individualized consideration, intellectual stimulation, and inspirational motivation, while at the same time improving transactional leadership by establishing a reward system based on performance. Through this, it is expected that the quality of rescue service at the site will be improved by increasing the life satisfaction of 119 rescuers and laying the foundation for them to demonstrate their potential capabilities. The findings of this study provide practical implications for improving the quality of life and organizational performance of 119 rescuers.

The mediating effect of socially imposed perfectionism in the relationship between parental attachment and career indecision in college students (대학생의 부모에 대한 심리적 애착과 진로미결정의 관계에서 사회부과적 완벽주의의 매개효과)

  • Kyung-In Min;Sung-Sim Cho
    • Industry Promotion Research
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    • v.9 no.1
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    • pp.89-101
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    • 2024
  • The purpose of this study is to examine the relationship between parental/parental attachment and career indecision among college students, and to examine the goodness of fit and influence of variables in a model that assumes that socially imposed perfectionism has an influence on the relationship between parental/parental attachment and career indecision. It's about verification. For this purpose, an online survey was conducted by randomly sampling 250 college students attending 4-year institutions across the country, and data analysis was conducted using a three-stage regression method using SPSS Win 25.0. The analysis results are as follows. First, psychological attachment to parents appears to have a negative effect on career indecision, confirming that the more a stable attachment relationship with parents is formed, the less difficulties in career decision-making. Second, the mediating effect of socially imposed perfectionism was confirmed in the relationship between psychological attachment to parents and career indecision. This shows that the more stable the psychological attachment to the father and mother is formed, the lower the level of socially imposed perfectionism and career indecision. Based on these research results, implications for career counseling practice and follow-up research were discussed.

A Framework for Identifying and Analyzing IT Project Risk Factors (IT프로젝트 위험 요인 식별 및 분석 프레임워크 연구)

  • Jangho Choi;Chanhee Kwak;Heeseok Lee
    • Information Systems Review
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    • v.19 no.4
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    • pp.87-110
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    • 2017
  • Analyzing and finding the risk factors in information technology (IT) projects have been discussed because risk management is an important issue in IT project management. This study obtained the risk factor checklists with priorities, analyzed the causal relationship of risk factors, and determined their influences on IT project management. However, only few studies systematically classified IT project risk factors in terms of risk exposure. These studies considered both the probability of occurrence and the degree of risk simultaneously. The present study determined 53 IT project risk factors on the basis of literature and expert group discussions. Additionally, this study presented clustering analysis based on the data of 140 project managers. The IT project risk factor classification framework was divided into four areas (HIHF, HILF, LIHF, and LILF). The present results can be used to help IT project managers establish effective risk management strategies and reduce IT project failures. This study also provides academic implication because it considers both the probability of occurrence and the degree of influence of risk factors.

Current Status and Perspective of Smart Vegetable Seedling Production Technology in the Republic of Korea (국내 스마트 채소 육묘 기술 개발 현황 및 전망)

  • Dong Hyeon Kang;So Young Lee;Hey Kyung Kim;Sewoong An
    • Journal of Practical Agriculture & Fisheries Research
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    • v.26 no.1
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    • pp.22-29
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    • 2024
  • In this study, we summarized the definition of smart vegetable seedling production technology, analysis of smart seedling production system, a hardware and software configuration model for smart seedling production system, research and development trends in smart seedling production system, and proposed future research and development plans for smart seedling production technology. Smart vegetable seedling production is a data-based seedling production, management, and distribution system that utilizes 4th Industrial Revolution technology to improve seedling productivity and quality. The production of vegetable seedlings using smart seedling production technology can be efficiently managed by collecting, analyzing, and managing information on seedlings, environment, and tasks at each stage of production by linking with the smart seedling integrated management system. However, there is still a lack of standardization of seedling standards and quality for each vegetable crop to establish smart seeding production technology, as well as development of smart seedling production element technology, which requires national wide R&D support.

Three-dimensional thermal-hydraulics/neutronics coupling analysis on the full-scale module of helium-cooled tritium-breeding blanket

  • Qiang Lian;Simiao Tang;Longxiang Zhu;Luteng Zhang;Wan Sun;Shanshan Bu;Liangming Pan;Wenxi Tian;Suizheng Qiu;G.H. Su;Xinghua Wu;Xiaoyu Wang
    • Nuclear Engineering and Technology
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    • v.55 no.11
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    • pp.4274-4281
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    • 2023
  • Blanket is of vital importance for engineering application of the fusion reactor. Nuclear heat deposition in materials is the main heat source in blanket structure. In this paper, the three-dimensional method for thermal-hydraulics/neutronics coupling analysis is developed and applied for the full-scale module of the helium-cooled ceramic breeder tritium breeding blanket (HCCB TBB) designed for China Fusion Engineering Test Reactor (CFETR). The explicit coupling scheme is used to support data transfer for coupling analysis based on cell-to-cell mapping method. The coupling algorithm is realized by the user-defined function compiled in Fluent. The three-dimensional model is established, and then the coupling analysis is performed using the paralleled Coupling Analysis of Thermal-hydraulics and Neutronics Interface Code (CATNIC). The results reveal the relatively small influence of the coupling analysis compared to the traditional method using the radial fitting function of internal heat source. However, the coupling analysis method is quite important considering the nonuniform distribution of the neutron wall loading (NWL) along the poloidal direction. Finally, the structure optimization of the blanket is carried out using the coupling method to satisfy the thermal requirement of all materials. The nonlinear effect between thermal-hydraulics and neutronics is found during the blanket structure optimization, and the tritium production performance is slightly reduced after optimization. Such an adverse effect should be thoroughly evaluated in the future work.