• 제목/요약/키워드: Software Organization

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Safety Culture: A Retrospective Analysis of Occupational Health and Safety Mining Reports

  • Tetzlaff, Emily J.;Goggins, Katie A.;Pegoraro, Ann L.;Dorman, Sandra C.;Pakalnis, Vic;Eger, Tammy R.
    • Safety and Health at Work
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    • 제12권2호
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    • pp.201-208
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    • 2021
  • Background: In the mining industry, various methods of accident analysis have utilized official accident investigations to try and establish broader causation mechanisms. An emerging area of interest is identifying the extent to which cultural influences, such as safety culture, are acting as drivers in the reoccurrence of accidents. Thus, the overall objective of this study was to analyze occupational health and safety (OHS) reports in mining to investigate if/how safety culture has historically been framed in the mining industry, as it relates to accident causation. Methods: Using a computer-assisted qualitative data analysis software, 34 definitions of safety culture were analyzed to highlight key terms. Based on word count and contextual relevance, 26 key terms were captured. Ten OHS reports were then analyzed via an inductive thematic analysis, using the key terms. This analysis provided a concept map representing the 50-year data set and facilitated the use of text framing to highlight safety culture in the selected OHS mining reports. Results: Overall, 954 references and six themes, safety culture, attitude, competence, belief, patterns, and norms, were identified in the data set. Of the 26 key terms originally identified, 24 of them were captured within the text. The results made evident two distinct frames in which to interpret the data: the role of the individual and the role of the organization, in safety culture. Conclusion: Unless efforts are made to understand and alter cultural drivers and share these findings within and across industries, the same accidents are likely to continue to occur.

Growth in Infants with Cow's Milk Protein Allergy Fed an Amino Acid-Based Formula

  • Vandenplas, Yvan;Dupont, Christophe;Eigenmann, Philippe;Heine, Ralf G.;Host, Arne;Jarvi, Anette;Kuitunen, Mikael;Mukherjee, Rajat;Ribes-Koninckx, Carmen;Szajewska, Hania;Berg, Andrea von;Zhao, Zheng-Yan
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • 제24권4호
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    • pp.392-402
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    • 2021
  • Purpose: The present study assessed the role of an amino acid-based formula (AAF) in the growth of infants with cow's milk protein allergy (CMPA). Methods: Non-breastfed, term infants aged 0-6 months with symptoms suggestive of CMPA were recruited from 10 pediatric centers in China. After enrollment, infants were started on AAF for two weeks, followed by an open food challenge (OFC) with cow's milk-based formula (CMF). Infants with confirmed CMPA remained on AAF until 9 months of age, in conjunction with a cow's milk protein-free complementary diet. Body weight, length, and head circumference were measured at enrollment and 9 months of age. Measurements were converted to weight-for-age, length-for-age, and head circumference-for-age Z scores (WAZ, LAZ, HCAZ), based on the World Health Organization growth reference. Results: Of 254 infants (median age 16.1 weeks, 50.9% male), 218 (85.8%) were diagnosed with non-IgE-mediated CMPA, 33 (13.0%) tolerated CMF, and 3 (1.2%) did not complete the OFC. The mean WAZ decreased from 0.119 to -0.029 between birth and enrollment (p=0.067), with significant catch-up growth to 0.178 at 9 months of age (p=0.012) while being fed the AAF. There were no significant changes in LAZ (0.400 vs. 0.552; p=0.214) or HCAZ (-0.356 vs. -0.284; p=0.705) from the time of enrollment to age 9 months, suggesting normal linear and head growth velocity. Conclusion: The amino acid-based study formula, in conjunction with a cow's milk proteinfree complementary diet, supported normal growth till 9 months of age in a cohort of Chinese infants with challenge-confirmed non-IgE-mediated CMPA.

텍스트마이닝 분석을 활용한 SNS 데이터 기반의 정보교육의 동향 분석 연구 (A Trend Analysis of Computer Education based on SNS Data through Data Mining Analysis)

  • 김갑수;전석주;구덕회;신승기
    • 정보교육학회논문지
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    • 제25권2호
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    • pp.289-300
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    • 2021
  • 본 연구에서는 SNS 데이터를 수집하고 토픽모델링기법으로 분석하여 SW교육과 AI교육에 대한 키워드와 토픽을 도출하여 시사점을 살펴보고자 하였다. SNS 데이터 분석을 통해 SW교육에 대해서 인재양성 및 전국민 SW교육에 대한 내용과 학교현장에서의 수업설계 및 교수학습방법에 대한 내용이 관심이 높음을 살펴볼 수 있었다. 초등학교에서부터 별도의 교과를 통해 SW교육이 실시되어야 하며, 이는 AI교육에 대한 분석결과에서 정보교과를 토대로 위계를 고려한 교과편성 및 운영이 필요하다는 의견과 일치되었다. AI교육은 새롭게 도입되는 영역으로 현장학교의 지원이 필요하다는 의견이 있었으며, AI인재양성을 위해 대학교육에서도 추진되어야 함을 살펴볼 수 있었다. SNS 데이터 분석을 통해 살펴볼 수 있는 SW교육과 AI교육에 대한 동향은 결국 정보교육의 내실있는 운영과 교육과정 편성으로 귀결된다고 할 수 있으며 이는 국가수준교육과정 편성에 대한 시사점을 내포한다고 할 수 있다.

Health assessment of RC building subjected to ambient excitation : Strategy and application

  • Mehboob, Saqib;Khan, Qaiser Uz Zaman;Ahmad, Sohaib;Anwar, Syed M.
    • Earthquakes and Structures
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    • 제22권2호
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    • pp.185-201
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    • 2022
  • Structural Health Monitoring (SHM) is used to provide reliable information about the structure's integrity in near realtime following extreme incidents such as earthquakes, considering the inevitable aging and degradation that occurs in operating environments. This paper experimentally investigates an integrated wireless sensor network (Wi-SN) based monitoring technique for damage detection in concrete structures. An effective SHM technique can be used to detect potential structural damage based on post-earthquake data. Two novel methods are proposed for damage detection in reinforced concrete (RC) building structures including: (i) Jerk Energy Method (JEM), which is based on time-domain analysis, and (ii) Modal Contributing Parameter (MCP), which is based on frequency-domain analysis. Wireless accelerometer sensors are installed at each story level to monitor the dynamic responses from the building structure. Prior knowledge of the initial state (immediately after construction) of the structure is not required in these methods. Proposed methods only use responses recorded during ambient vibration state (i.e., operational state) to estimate the damage index. Herein, the experimental studies serve as an illustration of the procedures. In particular, (i) a 3-story shear-type steel frame model is analyzed for several damage scenarios and (ii) 2-story RC scaled down (at 1/6th) building models, simulated and verified under experimental tests on a shaking table. As a result, in addition to the usual benefits like system adaptability, and cost-effectiveness, the proposed sensing system does not require a cluster of sensors. The spatial information in the real-time recorded data is used in global damage identification stage of SHM. Whereas in next stage of SHM, the damage is detected at the story level. Experimental results also show the efficiency and superior performance of the proposed measuring techniques.

농업용 트랙터 듀얼 클러치 변속기의 동력전달 효율 분석에 관한 연구 (Transmission Efficiency of Dual-clutch Transmission in Agricultural Tractors)

  • 문석표;문상곤;김재승;손종현;김용주;김수철
    • 드라이브 ㆍ 컨트롤
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    • 제19권1호
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    • pp.43-50
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    • 2022
  • The aim of this study was to conduct basic research on the development of a dual-clutch transmission(DCT) and automatic transmission for agricultural tractors. The DCT layout and the DCT simulation model were developed using commercial software. Power transmission efficiency of the DCT and component power loss were analyzed to verify the developed simulation model. Power loss analysis of the components was conducted according to previous studies and ISO(International Organization for Standardization) standards. The power transmission efficiency of the DCT simulation model was 68.4-91.5% according to the gear range. The power loss in the gear, bearing, and clutch DCT system components was 0.75-1.49 kW, 0.77-2.99 kW, and 5.24-10.52 kW, respectively. The developed simulation model not include the rear axle, differential gear, final reduction gear. Therefore actual power transmission efficiency of DCT will be decreased. In a future study, an actual DCT can be developed through the simulation model in this study, and optimization design of DCT can be possible by comparing simulation results and actual vehicle test.

지리적 가중회귀모형을 이용한 지역별 걷기실천율의 지역적 변이 및 영향요인 탐색 (Exploring Spatial Variations and Factors associated with Walking Practice in Korea: An Empirical Study based on Geographically Weighted Regression)

  • 김은주;이영서;윤주영
    • 대한간호학회지
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    • 제53권4호
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    • pp.426-438
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    • 2023
  • Purpose: Walking practice is a representative indicator of the level of physical activity of local residents. Although the world health organization addressed reduction in prevalence of insufficient physical activity as a global target, the rate of walking practice in Korea has not improved and there are large regional disparities. Therefore, this study aimed to explore the spatial variations of walking practice and its associated factors in Korea. Methods: A secondary analysis was conducted using Community Health Outcome and Health Determinants Database 1.3 from Korea Centers for Disease Control and Prevention. A total of 229 districts was included in the analysis. We compared the ordinary least squares (OLS) and the geographically weighted regression (GWR) to explore the associated factors of walking practice. MGWR 2.2.1 software was used to explore the spatial distribution of walking practice and modeling the GWR. Results: Walking practice had spatial variations across the country. The results showed that the GWR model had better accommodation of spatial autocorrelation than the OLS model. The GWR results indicated that different predictors of walking practice across regions of Korea. Conclusion: The findings of this study may provide insight to nursing researchers, health professionals, and policy makers in planning health programs to promote walking practices in their respective communities.

Development of Ground Monitoring and Control System for Korea Augmentation Satellite System

  • Daehee Won;Chulhee Choi;Eunsung Lee;Hantae Cho;Dongik Jang;Eunok Jang;Heetaek Lim;Ho Sung Lee;Jungja Kim;Joohap Choi
    • Journal of Positioning, Navigation, and Timing
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    • 제12권2호
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    • pp.185-200
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    • 2023
  • The Korea Augmentation Satellite System (KASS) is the first satellite navigation enhancement system in Korea developed in compliance with international standards. Technologies accumulated during the development process should be spread to industries such as academia and serve as the basis for developing the domestic satellite navigation field. This paper introduces the development process from design to implementation, testing, and verification of KASS control systems (KCS). First, development standards, milestones, requirements, and interface standards are presented as KCS development methods, and major functional design, physical design, and hardware/software implementation are described based on the allocated requirements. Subsequently, the verification environment, procedures, and results of the development product are covered and the developed operational and maintenance procedures are described. In addition, based on the experience gained through the development, suggestions were made for beneficial technology development and organization when promoting satellite navigation projects in the future. Since this work has important historical value for the development of domestic satellite navigation, it is expected that the development results will be shared with academia and industry in the future and be used as basic data for similar development.

Hex Code-based Geological Cross-sections Describing Landscape Dynamics in the Jeju Geomunoreum Lava Tube System

  • Yi, Yun-Jae;Kim, Soo-In;Ahn, Ung-San;Lee, Keun Chul;Lee, Mi-Kyung;Lee, Jung-Sook;Kim, Dae-Shin;Kim, Jong-Shik
    • 한국환경농학회지
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    • 제41권1호
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    • pp.65-70
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    • 2022
  • BACKGROUND: The Geomunoreum Lava Tube System (GLTS) is both vast and culturally valuable. The Jeju Volcanic Island and Lava Tubes, which are partly composed of the GLTS, have been declared as a United Nations Educational, Scientific, and Cultural Organization (UNESCO) World Heritage Site. Exploration of the caves is strictly regulated to conserve these vulnerable environments. Photographs provide limited information and do not describe the entire environment comprehensively. Therefore, we created several illustrations of the lava tubes to display their environmental features. METHODS AND RESULTS: We explored six lava caves (upstream and downstream) in the GLTS and photographed their geological features and yellow walls, the colors of which are influenced by microbial mats. We compared the hex codes of the wall colors using the Clip Studio v1.10.5 software and created illustrations that accurately represent the scale and features of the caves. CONCLUSION(S): Upstream and downstream caves of the GLTS differ in scale and volcanic features. We illustrated various characteristics of the caves including lava cave features, vegetation, and microbial mats. We also described the internal and external cave environments.

군집분석을 활용한 지역별 건강격차 연구: 주관적 건강수준을 중심으로 (Regional Health Disparities of Self-Rated Health Using Cluster Analysis in South Korea)

  • 허민희;백세종;김영진;노진원
    • 보건행정학회지
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    • 제33권2호
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    • pp.118-128
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    • 2023
  • Background: Personal socio-economic abilities are crucial as it affects health inequalities. These multidimensional inequalities across the regions have been structured and fixed. This study aimed to analyze health vulnerabilities by regional cluster and identify regional health disparities of self-rated health, using nationally representative cross-sectional data. Methods: This study used personal and regional data. Data from the Community Health Survey 2021 were analyzed. K-means cluster analysis was applied to 250 si-gun-gu using administrative regional data. The clusters were based on three areas: physical environment, health-related behaviors and biological factors, and the psychosocial environment through the conceptual framework for action on the social determinants of health. And binary logistic regression analyses were conducted to examine the differences in self-rated health status by the regional clusters, controlling human biology, environment, lifestyle, and healthcare organization factors. Results: The most vulnerable group was group 3, the moderate vulnerable group was group 1, and the least vulnerable group was group 2. The group 2 was more likely to have high self-rated health status than the moderate vulnerable group (odds ratio [OR], 1.023; p<0.001). And the group 3 showed low self-rated health status than the moderate vulnerable group (OR, 0.775; p<0.001). However, the moderate vulnerable group had significantly higher self-rated health status than the most vulnerable group (group 2: OR, 1.023; p<0.001; group 3: OR, 0.775; p<0.001). Conclusion: These results demonstrate that community members' health status is influenced by regional determinants of health and individual levels. And these contribute to understanding the importance of specific and differentiated interventions like locally tailored support programs considering both individual and regional health determinants.

Identification of novel potential drugs and miRNAs biomarkers in lung cancer based on gene co-expression network analysis

  • Sara Hajipour;Sayed Mostafa Hosseini;Shiva Irani;Mahmood Tavallaie
    • Genomics & Informatics
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    • 제21권3호
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    • pp.38.1-38.8
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    • 2023
  • Non-small cell lung cancer (NSCLC) is an important cause of cancer-associated deaths worldwide. Therefore, the exact molecular mechanisms of NSCLC are unidentified. The present investigation aims to identify the miRNAs with predictive value in NSCLC. The two datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs (DEmiRNA) and mRNAs (DEmRNA) were selected from the normalized data. Next, miRNA-mRNA interactions were determined. Then, co-expression network analysis was completed using the WGCNA package in R software. The co-expression network between DEmiRNAs and DEmRNAs was calculated to prioritize the miRNAs. Next, the enrichment analysis was performed for DEmiRNA and DEmRNA. Finally, the drug-gene interaction network was constructed by importing the gene list to dgidb database. A total of 3,033 differentially expressed genes and 58 DEmiRNA were recognized from two datasets. The co-expression network analysis was utilized to build a gene co- expression network. Next, four modules were selected based on the Zsummary score. In the next step, a bipartite miRNA-gene network was constructed and hub miRNAs (let-7a-2-3p, let-7d-5p, let-7b-5p, let-7a-5p, and let-7b-3p) were selected. Finally, a drug-gene network was constructed while SUNITINIB, MEDROXYPROGESTERONE ACETATE, DOFETILIDE, HALOPERIDOL, and CALCITRIOL drugs were recognized as a beneficial drug in NSCLC. The hub miRNAs and repurposed drugs may act a vital role in NSCLC progression and treatment, respectively; however, these results must validate in further clinical and experimental assessments.