• 제목/요약/키워드: 연쇄

검색결과 1,288건 처리시간 0.024초

Industry Linkage Analysis and Link Structure Network Analysis of Water Transportation Industry (수상 운송업의 산업연관분석 및 연계구조 네트워크 분석)

  • Park, Sung-Min;Park, Chan-Kwon
    • Journal of Convergence for Information Technology
    • /
    • 제12권3호
    • /
    • pp.85-107
    • /
    • 2022
  • This study is to analyze the induced effect, network connectivity, and network visualization of the water transportation industry on the overall economy in relation to all industries. For this, various inducement coefficients of the water transportation industry are analyzed using industry linkage analysis and unit structure matrix, and network visualization analysis is performed using network connectivity and NetDraw using Ucinet 6 that utilizes unit structure matrix and inverse matrix function. As a result of the study, analysis results of input coefficient, production inducement coefficient, value-added inducement coefficient, and inter-industry chain effect were presented as various inducement coefficients in the water transportation industry. content was presented. Through this study, the current position and status of the water transportation industry and its relationship with all industries were confirmed, and the strategic relationship with which industries it should be presented was presented. In the future, it is necessary to further analyze the current status and trends of various induced effects, connectivity (centrality), and network visualization analysis using industry-related analysis published since the 2000s.

Discharge Characteristics of Indicator Microorganisms from Agricultural-Forestry Watersheds (농지-임야에서 발생하는 지표미생물 유출 특성)

  • Kim, Geonha
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • 제28권1B호
    • /
    • pp.153-160
    • /
    • 2008
  • To estimate microbial contaminant loading discharged from diffuse sources, rainfall runoff of six rainfall events were monitored at three study watersheds of forestry and agricultural land use. Monitored indicator microorganism constituents were total coliform (TC), fecal coliform (FC), Escherichia coli (EC), and fecal streptococcus (FS). Soil loss during elevated flow rate caused higher suspended solid concentrations. Indicator microorganism concentrations were closely related with flow rate. TC event mean concentration (EMC) from unpolluted forestry was $5.3{\times}10^3CFU/100ml$, FC EMC was $1.4{\times}10^3CFU/100ml$, EC EMC was $1.1{\times}10^3CFU/100ml$, and FS EMC was $2.9{\times}10^2CFU/100ml$. From a watershed with agricultural-forestry land use, TC EMC was $1.7{\times}10^5CFU/100ml$, FC EMC was $8.5{\times}10^4CFU/100ml$, EC EMC was $8.9{\times}10^4CFU/100ml$, and FS EMC was $3.4{\times}10^4CFU/100ml$. Mixed land use of agricultural-forestry with bigger area, TC EMC was $1.9{\times}10^5CFU/100ml$, FC EMC was $9.6{\times}10^4CFU/100ml$, EC EMC was $7.0{\times}10^4CFU/100ml$, and FS EMC was $5.1{\times}10^4CFU/100ml$.

Unique Cartilage Matrix-Associated Protein Alleviates Hyperglycemic Stress in MC3T3-E1 Osteoblasts (Unique cartilage matrix-associated proteins에 의한 MC3T3-E1 조골세포에서의 고혈당 스트레스 완화 효과)

  • Hyeon Yeong Ju;Na Rae Park;Jung-Eun Kim
    • Journal of Life Science
    • /
    • 제33권11호
    • /
    • pp.851-858
    • /
    • 2023
  • Unique cartilage matrix-associated protein (UCMA) is an extrahepatic vitamin K-dependent protein rich in γ-carboxylated (Gla) residues. UCMA has been recognized for its ability to promote osteoblast differentiation and enhance bone formation; however, its impact on osteoblasts under hyperglycemic stress remains unknown. In this paper, we investigated the effect of UCMA on MC3T3-E1 osteoblastic cells under hyperglycemic conditions. After exposure to high glucose, the MC3T3-E1 cells were treated with recombinant UCMA proteins. CellROX and MitoSOX staining showed that the production of reactive oxygen species (ROS), which initially increased under high-glucose conditions in MC3T3-E1 cells, decreased after UCMA treatment. Additionally, quantitative polymerase chain reaction revealed increased expression of antioxidant genes, nuclear factor erythroid 2-related factor 2 and superoxide dismutase 1, in the MC3T3-E1 cells exposed to both high glucose and UCMA. UCMA treatment downregulated the expression of heme oxygenase-1, which reduced its translocation from the cytosol to the nucleus. Moreover, the expression of dynamin-related protein 1, a mitochondrial fission marker, was upregulated, and AKT signaling was inhibited after UCMA treatment. Overall, UCMA appears to mitigate ROS production, increase antioxidant gene expression, impact mitochondrial dynamics, and modulate AKT signaling in osteoblasts exposed to high-glucose conditions. This study advances our understanding of the cellular mechanism of UCMA and suggests its potential use as a novel therapeutic agent for bone complications related to metabolic disorders.

Scaling Attack Method for Misalignment Error of Camera-LiDAR Calibration Model (카메라-라이다 융합 모델의 오류 유발을 위한 스케일링 공격 방법)

  • Yi-ji Im;Dae-seon Choi
    • Journal of the Korea Institute of Information Security & Cryptology
    • /
    • 제33권6호
    • /
    • pp.1099-1110
    • /
    • 2023
  • The recognition system of autonomous driving and robot navigation performs vision work such as object recognition, tracking, and lane detection after multi-sensor fusion to improve performance. Currently, research on a deep learning model based on the fusion of a camera and a lidar sensor is being actively conducted. However, deep learning models are vulnerable to adversarial attacks through modulation of input data. Attacks on the existing multi-sensor-based autonomous driving recognition system are focused on inducing obstacle detection by lowering the confidence score of the object recognition model.However, there is a limitation that an attack is possible only in the target model. In the case of attacks on the sensor fusion stage, errors in vision work after fusion can be cascaded, and this risk needs to be considered. In addition, an attack on LIDAR's point cloud data, which is difficult to judge visually, makes it difficult to determine whether it is an attack. In this study, image scaling-based camera-lidar We propose an attack method that reduces the accuracy of LCCNet, a fusion model (camera-LiDAR calibration model). The proposed method is to perform a scaling attack on the point of the input lidar. As a result of conducting an attack performance experiment by size with a scaling algorithm, an average of more than 77% of fusion errors were caused.

Development of Promoters Inducing Gene Expression in Poultry Muscle Cells (가금 근육세포에서 유전자 발현을 유도하는 프로모터 개발)

  • Hyo Seo Kang;Tae Hee Nam;Woo Ju Lee;Joon Sang Lee;Sangsu Shin
    • Korean Journal of Poultry Science
    • /
    • 제50권4호
    • /
    • pp.261-266
    • /
    • 2023
  • The skeletal muscles of livestock play a crucial role as protein sources for humans, and the consumption of poultry meat is steadily increasing worldwide. Numerous genes, including myogenic regulatory factors, are involved in myogenesis, and precise regulation of them is essential. In this study, genes specifically expressed in muscles were selected, and their promoters were cloned and analyzed. The analysis of gene expression in various tissues of animals revealed that many genes exhibited specific expression patterns in skeletal muscles, with TNNT3, TNNC2, and MYF6 genes showing similar patterns in poultry. The promoter regions of three genes were amplified by polymerase chain reaction to sizes of 1.2 kb, 1.03 kb, and 1.43 kb, respectively. These fragments were then inserted at the front of the enhanced green fluorescent protein gene in vectors. It was confirmed that the sequences of three promoters closely matched the chicken genome sequences. Upon introducing vectors with each promoter into QM7 quail muscle cells, all three promoters successfully induced the expression of the green fluorescent protein. The brightness of the green fluorescence in each promoter was approximately seven times dimmer compared to the control, CMV-IE promoter. It is predicted that more than 230 transcription factors can bind to each promoter, especially various transcription factors expressed in muscles, including myogenic regulatory factors such as MYF5, MYOD, and MYOG. These promoters can be valuable for studying gene expression in poultry muscle cells, and further research is needed to precisely investigate the regulatory region of gene expression in promoters.

The effects of the Reynoutria japonica on skin-barrier and moisturizing in HaCaT cells (인간유래각질형성세포에서 호장근 추출물이 피부장벽 보호능과 보습능에 미치는 영향)

  • Eun Jeong Kang;Jia Bak;Yun-Sik Choi
    • Journal of the Korean Applied Science and Technology
    • /
    • 제40권5호
    • /
    • pp.965-976
    • /
    • 2023
  • Reynoutria japonica is a perennate plant belonging to Polygonaceae and grows wild in East Asia containing Korea. Roots of Reynoutria japonica (R. japonica), part of roots of Reynoutria japonica, has been used for anti-inflammation and antispasmodics and contains emodin as active compound. Epidermis of skin is crucial roles to defense our body against stimulants, harmful substance and prevent water loss. In this study, we examined the effect of R. japonica and emodin, its active compound, on skin-barrier and moisturizing on HaCaT cells. First, antioxidant effect of R. japonica was prominent by scavenging ABTS+ radicals. Next, we conducted real time PCR and expression of filaggrin mRNA which is crucial role in differentiation of keratinocyte increased by R. japonica and emodin dose-dependently. In addition, R. japonica and emodin significantly elevated the expression of HAS-2 mRNA which play a role in hyaluronic acid synthesis on HaCaT cells. Taken together, R. japonica containing emodin, as active compound has potential as a cosmetic material for enhancing the function of skin-barrier and moisturizing in epidermis.

Study on Effects of Startup Characteristics on Entrepreneurship Performance: Focusing on the Intermediary Effects of the Accelerator Role (스타트업의 특성이 창업성과에 미치는 영향에 관한 연구: 액셀러레이터 역할의 매개효과 중심으로)

  • Yongtae Kim;Chulmoo Heo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
    • /
    • 제18권2호
    • /
    • pp.141-156
    • /
    • 2023
  • The advancement of Information and Communication Technology (ICT), along with the expansion of government and private investment in startup discovery and funding, has led to the emergence of startups seeking to generate outstanding results based on innovative ideas. As successful startups serve as role models, the number of aspiring entrepreneurs preparing to launch their own startups continues to increase. However, unlike entrepreneurs who challenge themselves with serial entrepreneurship after experiencing success, early-stage startups face various challenges such as team building, technology development, and fundraising. Accelerators play a dual role of mentor and investor by providing education, mentoring, consulting, network connection, and initial investment activities to help startups overcome various challenges they face and facilitate their growth. This study investigated whether there is a correlation between the characteristics of startups and their entrepreneurial performance, and analyzed whether accelerators mediate the relationship between startup characteristics and entrepreneurial performance. A total of 11 hypotheses were proposed, and a survey was conducted on 302 startup founders and employees located across the country, including the metropolitan area, for empirical research. SPSS 23.0 and Amos 23.0 were used for statistical analysis. Through this study, it was found that factors such as innovation, organizational culture, financial characteristics, and learning orientation among the characteristics of startups, rather than having a direct impact on entrepreneurial performance, are linked to entrepreneurial performance through the role of accelerators. By analyzing the impact factors of startup characteristics on entrepreneurial performance, this study presents research on the role of accelerators and provides institutional improvements. It is expected to contribute to the expansion of investment and differentiated acceleration programs, enabling startups to seize the market and grow stably in the market.

  • PDF

Technique to Reduce Container Restart for Improving Execution Time of Container Workflow in Kubernetes Environments (쿠버네티스 환경에서 컨테이너 워크플로의 실행 시간 개선을 위한 컨테이너 재시작 감소 기법)

  • Taeshin Kang;Heonchang Yu
    • The Transactions of the Korea Information Processing Society
    • /
    • 제13권3호
    • /
    • pp.91-101
    • /
    • 2024
  • The utilization of container virtualization technology ensures the consistency and portability of data-intensive and memory volatile workflows. Kubernetes serves as the de facto standard for orchestrating these container applications. Cloud users often overprovision container applications to avoid container restarts caused by resource shortages. However, overprovisioning results in decreased CPU and memory resource utilization. To address this issue, oversubscription of container resources is commonly employed, although excessive oversubscription of memory resources can lead to a cascade of container restarts due to node memory scarcity. Container restarts can reset operations and impose substantial overhead on containers with high memory volatility that include numerous stateful applications. This paper proposes a technique to mitigate container restarts in a memory oversubscription environment based on Kubernetes. The proposed technique involves identifying containers that are likely to request memory allocation on nodes experiencing high memory usage and temporarily pausing these containers. By significantly reducing the CPU usage of containers, an effect similar to a paused state is achieved. The suspension of the identified containers is released once it is determined that the corresponding node's memory usage has been reduced. The average number of container restarts was reduced by an average of 40% and a maximum of 58% when executing a high memory volatile workflow in a Kubernetes environment with the proposed method compared to its absence. Furthermore, the total execution time of a container workflow is decreased by an average of 7% and a maximum of 13% due to the reduced frequency of container restarts.

Symptoms of the subject in a movie based on Lacan's work on psychosis - Focusing On Lars von Trier's film (라캉의 정신병 연구에 근거한 영화 속 주체의 증상 - 라스 폰 트리에의 <살인마 잭의 집>을 중심으로)

  • HAN JINGZHI
    • Trans-
    • /
    • 제16권
    • /
    • pp.69-105
    • /
    • 2024
  • The House that Jack Built (2018), a film about how the protagonist Jack is reborn as a "mad artist" with psychotic symptoms during a 12-year killing spree, provides an interesting opportunity to analyze the film in terms of psychoanalysis and religion. Jack, an engineer who suffers from OCD, finds pleasure in the accidental murder of a character and considers killing people as an art form, overcoming his OCD in the process. The question we are interested in is whether the symptoms of OCD are truly overcome by the act of repeated killing. The idea is that Jack's OCD is not overcome by killing, but rather that the symptoms disappear as he moves from neurosis to a stabilized psychotic state. According to the theory of the famous French psychoanalyst Lacan, the hallucinations or delusions that human subjects experience when they lose their realistic stability are a phenomenon that occurs when they are confronted with The Real, which penetrates through the cracks of the symbolic system. Phenomena such as Jack's illusory reality and delusions in the movie are pathological symptoms of the absence of a paternal figure in his life, causing the Name-of-the-Father to fail to take hold. This paper deciphers the psychotic structure of Jack, the protagonist of Lars von Trier's House of Jack, through Lacanian psychoanalysis.

Molecular Monitoring of Plankton Diversity in the Seonakdong River and Along the Coast of Namhae (분자 모니터링을 이용한 서낙동강과 남해 연안 플랑크톤 군집 분석)

  • Kim, Bo-Kyung;Lee, Sang-Rae;Lee, Jin-Ae;Chung, Ik-Kyo
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
    • /
    • 제15권1호
    • /
    • pp.25-35
    • /
    • 2010
  • The biodiversity of eukaryotic plankton has commonly been used to evaluate the status of aquatic ecosystems. Therefore, an accurate and rapid method for species identification is needed to reveal the biodiversity of environmental water samples. To date, molecular methods have provided a great deal of information that has enabled identification of the hidden biodiversity in environmental samples. In this study, we utilized environmental polymerase chain reaction (PCR) and constructed the 18S nuclear ribosomal RNA clone library from environmental water samples in order to develop more efficient methods for species identification. For the molecular analysis, water samples were collected from the Seonakdong River (Gimhae Bridge) and the coast of Namhae,(Namhaedo). Colony PCR and restriction fragment length polymorphism of PCR (PCR-RFLP) were then adopted to isolate unique clones from the 18S rDNA clone library. Restriction fragment length polymorphism pattern analysis of the Gimhae Bridge sample revealed 44 unique clones from a total of 60 randomly selected clones, while analysis of the Namhae sample revealed 27 unique clones from 150 clones selected at random. A BLAST search and subsequent phylogenetic analysis conducted using the sequences of these clones revealed hidden biodiversity containing a wide range of taxonomic groups (Heterokontophyta (7), Ciliophora (23), Dinophyta (1), Chytridiomycota (1), Rotifera (1) and Arthropoda (11) in the Gimhae Bridge samples Ciliophora (4), Dinophyta (3), Cryptophyta (1), Arthropoda (19) in the Namhae samples). Therefore, the molecular monitoring method developed here can provide additional information regarding the biodiversity and community structure of eukaryotic plankton in environmental samples and helps construct a useful database of biodiversity for aquatic ecosystems.