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The Impact of Language on Customer Intentions to Use Localized E-Commerce Websites in Arabic Countries: The Mediating Role of Perceived Risk and Trust

  • HERZALLAH, Fadi;AYYASH, Mohannad Moufeed;AHMAD, Kamsuriah
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.1
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    • pp.273-290
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    • 2022
  • Localization of e-commerce websites is a useful tool for providing the world with business organizations and money-making enterprises. However, studies on e-Commerce website localization within the language domain are still quite limited. Thus, the study aims to investigate the relationship between the Arabic language and a wide range of e-Commerce website intentions, clarifying the indirect effects of the Arabic language on intentions to use e-Commerce websites using perceived risk and trust as mediating variables, and determining whether trust and perceived risk work as mediating variables between the Arabic language and e-Commerce website intentions. Survey data collated from participants totaling up to 264 has been used to test the research framework. The selection of these participants is based on their experiences employing e-Commerce websites. Structural equation modeling (SEM) through partial least square (PLS) software was used for the data analysis. The results show that the Arabic language, trust, and perceived risk play effective roles for e-Commerce websites adoption. More importantly, trust and perceived risk positively mediate the relationship between the Arabic language and intentions to use e-Commerce websites. Implications of the study's findings and suggestions for further research are discussed.

Assessing Social and Work Environmental Factors Towards Women Upward Career Development: An Empirical Study from Pakistan

  • KHURSHID, Nabila;NASEER, Aleena;KHURSHID, Jamila;KHOKHAR, Arif Masih;IRFAN, Muhammad
    • The Journal of Asian Finance, Economics and Business
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    • v.9 no.1
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    • pp.53-61
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    • 2022
  • The goal of this research was to find the relationship between the work environment and societal issues that impede women's advancement to senior management positions. The study included 500 women professionals from diverse firms in Pakistan's business sector, of whom 100 were chosen as the sample size using a purposive sampling method. Experts confirmed the validity of the study tool, which was a questionnaire, and Cronbach's alpha coefficient was used to verify its reliability (0.704-0.982). The model's standardized regression coefficients suggested that social factors (0.298) were the most important factors determining women's empowerment in terms of career development and that they were further influenced by factors related to the work environment (0.411). It was concluded that organizational rules for female employees assist them to maintain a balance between work and family, resulting in a less stressful working environment. The role of the social factor as a mediator is also thought to be important in maintaining a healthier work environment in companies. It was also determined that much more work needs to be done on promotional regulations, as well as gender-blind legislation so that women's professional advancement is not limited to middle management.

Discovery of Raman-scattered He II Features at 6545 Å in Planetary Nebulae NGC 6886 & NGC 6881 from BOES Spectroscopy

  • Choi, Bo-Eun;Lee, Hee-Won
    • The Bulletin of The Korean Astronomical Society
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    • v.45 no.1
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    • pp.50.4-51
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    • 2020
  • We report our discovery of Raman-scattered He II λ6545 feature in young planetary nebulae NGC 6886 and NGC 6881 which indicates the existence of atomic hydrogen components. Considering sharply increasing cross-section of hydrogen atom near the resonance, Raman-scattered He II features are a useful diagnostic tool to investigate the distribution and kinematics of H I region in planetary nebulae. The high-resolution spectroscopic observation was carried out using BOES installed on the 1.8 m telescope of BOAO. We estimate the column density of H I region and its expansion velocity using our grid-based Monte-Carlo radiative transfer code. We assume that the H I region is uniformly distributed in spherical shell geometry with an opening angle and expands with constant speed. Our best-fit model is shown with the column density NHI = 3 × 1020 cm-2 and expansion speed vexp = 25 km s-1 with the opening angle ~ 25° for NGC 6886, and NHI = 4 × 1020 cm-2 and vexp = 30 km s-1 with the opening angle ~ 35° for NGC 6881. We present brief discussions on the late-stage of evolution of stars with mass > 3 M⊙.

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A Study of the DEVOPS Test Automation Module for Integrated Development Environment (통합 개발환경에서 데브옵스 기반 테스트 자동화 모듈 개발에 대한 연구)

  • Jung Kwang Lak;Kim Sun Joo
    • Convergence Security Journal
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    • v.22 no.1
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    • pp.3-9
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    • 2022
  • The role of the integrated development environment is very important in software development of a development project. After many developers develop different modules, software product is completed through compile, debugging, integration, testing, and distribution. However, bugs and various issues in the development process cause problems such as quality deterioration of software product and dissatisfaction with requirements. So the need for automated testing to avoid these problems and improve quality has increased. In this study, we propose test automation modules of four perspectives to improve quality throughout the test automation in an integrated development environment. Each automation module operates through the tool chain of an integrated build framework implemented on the devops.

Investigating Regions Vulnerable to Recurring Landslide Damage Using Time Series-Based Susceptibility Analysis: Case Study for Jeolla Region, Republic of Korea

  • Ho Gul Kim
    • Journal of Forest and Environmental Science
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    • v.39 no.4
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    • pp.213-224
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    • 2023
  • As abnormal weather events due to climate change continue to rise, landslide damage is also increasing. Given the substantial time and financial resources required for post-landslide recovery, it becomes imperative to formulate a proactive response plan. In this regard, landslide susceptibility analysis has emerged as a valuable tool for establishing preemptive measures against landslides. Accordingly, this study conducted an annual landslide susceptibility analysis using the history of landslides that occurred over many years in the Jeolla region, and analyzed areas with a high potential for landslides in the Jeolla region. The analysis employed an ensemble model that amalgamated 10 data-based models, aiming to mitigate uncertainties associated with a single-model approach. Furthermore, based on the cumulative data regarding landslide susceptible areas, this research identified regions vulnerable to recurring landslide damage in Jeolla region and proposed specific strategies for utilizing this information at various levels, including local government initiatives, adaptation plan development, and development approval processes. In particular, this study outlined approaches for local government utilization, the determination of adaptation plan types, and considerations for development permits. It is anticipated that this research will serve as a valuable opportunity to underscore the significance of information concerning regions vulnerable to recurring landslide damage.

A Systems Engineering Approach to Multi-Physics Analysis of CEA Ejection Accident

  • Sebastian Grzegorz Dzien;Aya Diab
    • Journal of the Korean Society of Systems Engineering
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    • v.19 no.2
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    • pp.46-58
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    • 2023
  • Deterministic safety analysis is a crucial part of safety assessment, particularly when it comes to demonstrating the safety of nuclear power plant designs. The traditional approach to deterministic safety analysis models is to model the nuclear core using point kinetics. However, this simplified approach does not fully reflect the real core behavior with proper moderator and fuel reactivity feedbacks during the transient. The use of Multi-Physics approach allows more precise simulation reflecting the inherent three-dimensionality (3D) of the problem by representing the detailed 3D core, with instantaneous updates of feedback mechanisms due to changes of important reactivity parameters like fuel temperature coefficient (FTC) and moderator temperature coefficient (MTC). This paper addresses a CEA ejection accident at hot full power (HFP), in which the underlying strong and un-symmetric feedback between thermal-hydraulics and reactor kinetics exist. For this purpose, a multi-physics analysis tool has been selected with the nodal kinetics code, 3DKIN, implicitly coupled to the thermal-hydraulic code, RELAP5, for real-time communication and data exchange. This coupled approach enables high fidelity three-dimensional simulation and is therefore especially relevant to reactivity initiated accident (RIA) scenarios and power distribution anomalies with strong feedback mechanisms and/or un-symmetrical characteristics as in the CEA ejection accident. The Systems Engineering approach is employed to provide guidance in developing the work in a systematic and efficient fashion.

Changes in the Recognition Rate of Kodály Learning Devices using Machine Learning (머신러닝을 활용한 코다이 학습장치의 인식률 변화)

  • YunJeong LEE;Min-Soo KANG;Dong Kun CHUNG
    • Journal of Korea Artificial Intelligence Association
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    • v.2 no.1
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    • pp.25-30
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    • 2024
  • Kodály hand signs are symbols that intuitively represent pitch and note names based on the shape and height of the hand. They are an excellent tool that can be easily expressed using the human body, making them highly engaging for children who are new to music. Traditional hand signs help beginners easily understand pitch and significantly aid in music learning and performance. However, Kodály hand signs have distinctive features, such as the ability to indicate key changes or chords using both hands and to clearly represent accidentals. These features enable the effective use of Kodály hand signs. In this paper, we aim to investigate the changes in recognition rates according to the complexity of scales by creating a device for learning Kodály hand signs, teaching simple Do-Re-Mi scales, and then gradually increasing the complexity of the scales and teaching complex scales and children's songs (such as "May Had A Little Lamb"). The learning device utilizes accelerometer and bending sensors. The accelerometer detects the tilt of the hand, while the bending sensor detects the degree of bending in the fingers. The utilized accelerometer is a 6-axis accelerometer that can also measure angular velocity, ensuring accurate data collection. The learning and performance evaluation of the Kodály learning device were conducted using Python.

Avantor® ACE® UltraCore HPLC and UHPLC Columns (Avantor® ACE® UltraCore HPLC/UHPLC 칼럼 가이드)

  • Peter Bridge;Ian Phillips;Gemma Lo;Cassandra Rusher
    • FOCUS: LIFE SCIENCE
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    • no.1
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    • pp.4.1-4.15
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    • 2024
  • The Avantor® ACE® UltraCore series encompasses High Performance Liquid Chromatography (HPLC) and Ultra High Performance Liquid Chromatography (UHPLC) columns designed to deliver high throughput and high-efficiency ultra-fast separations. Utilizing ultra-inert solid-core silica particles with monodisperse particle distribution, these columns combine the high efficiency of UHPLC with the operability of HPLC instrumentation, yielding lower backpressure and high-resolution separations suitable for a broad spectrum of analytes. The Avantor® ACE® UltraCore range includes three primary product types: • UltraCore BIO: Designed for large biomolecules (≥5 kDa), these columns offer exceptional performance in separating biologically derived compounds. • UltraCore: Ideal for standard small organic molecules, providing rapid separations for both synthetic and natural mixtures. • UltraCore Super: Equipped with encapsulated bonding technology for small organic molecules in extreme pH conditions, optimal for high pH buffer requirements. The Avantor® ACE® UltraCore columns present a versatile and high-efficiency solution for chromatographic separation needs, accommodating a wide range of molecular sizes and providing enhanced resolution and reduced analysis time. Their adaptability to both HPLC and UHPLC systems, combined with the advantages of solid-core technology, makes them an invaluable tool in analytical and preparative chromatography.

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Research Ethics within an Internet-based Research Setting: Current Literature Investigation

  • Eungoo KANG;Hee-Joong HWANG
    • Journal of Research and Publication Ethics
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    • v.5 no.2
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    • pp.17-23
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    • 2024
  • Purpose: The internet, as a tool, avenue, and field, has wide-researching and specific ethical concerns. Internet-based research ethics is a field that spreads across numerous fields, scoping from natural and biomedical sciences to social sciences, and arts and humanities. Thus, this study which investigates research ethics within an Internet-based Research Setting will be quite valuable. Research design, data and methodology: The current authors widely took a look at prior and present literature dataset to explore research ethics within an Internet-based setting. Using numerous search engine, such as 'Goole Scholar', 'Scopus', and 'Web of Science', the current authors could obtain total 42 prior studies that are relevant with our research topic. Results: Based on the screening process in the literature datasets, this study could categorize four areas of the research ethics within Internet-based research setting as follows: (1) Human Subjects Ethics, (2) Big Data Ethical Issues, (3) Research Ethics and Cloud, and (4) Computing Interviews and Surveys Ethics. Conclusions: This study concludes that although internet-based research has many benefits, the accompanying ethical issues are many. The lack of uniformity in the concept and terminology of online research methods typically brings forth confusion and makes it hard for new researchers to develop mutual guidelines.

Automated measurement and analysis of sidewall roughness using three-dimensional atomic force microscopy

  • Su‑Been Yoo;Seong‑Hun Yun;Ah‑Jin Jo;Sang‑Joon Cho;Haneol Cho;Jun‑Ho Lee;Byoung‑Woon Ahn
    • Applied Microscopy
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    • v.52
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    • pp.1.1-1.8
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    • 2022
  • As semiconductor device architecture develops, from planar field-effect transistors (FET) to FinFET and gate-all-around (GAA), there is an increased need to measure 3D structure sidewalls precisely. Here, we present a 3-Dimensional Atomic Force Microscope (3D-AFM), a powerful 3D metrology tool to measure the sidewall roughness (SWR) of vertical and undercut structures. First, we measured three different dies repeatedly to calculate reproducibility in die level. Reproducible results were derived with a relative standard deviation under 2%. Second, we measured 13 different dies, including the center and edge of the wafer, to analyze SWR distribution in wafer level and reliable results were measured. All analysis was performed using a novel algorithm, including auto fattening, sidewall detection, and SWR calculation. In addition, SWR automatic analysis software was implemented to reduce analysis time and to provide standard analysis. The results suggest that our 3D-AFM, based on the tilted Z scanner, will enable an advanced methodology for automated 3D measurement and analysis.