• English & American cultural studies
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• v.17 no.1
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• pp.55-79
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• 2017

Ella Hepworth Dixon's The Story of a Modern Woman is a pioneering female writer?s important work which was not deeply studied yet very influential in new women literature and its cultural global impact. Although women had been often praised for their beauties specially by romantic poets but their self-realization and innate values were not widely recognized until new women writers advocated their desires and active roles in the society at the end of the $19^{th}$ century. The new women writers including Ella Dixon gained popularity with their professional skills as the journalists or the contributors to the journals which were suddenly popular and actively circulated among Victorian women. From the 1880s to 1920s, in contrast with the traditional images of wives as ?the angel in the house?, these women new women writers broke the yoke of subjugated womanhood and instead tried to freely express their independent spirits and demanded their roles in the society. Although they were criticized sometimes as "the daughter of a new guise" "a lady of restless sex" or "the wild women," new girls? perky images in new women fiction brought into the new cultural phenomenon which led to the ?flapper? girl in the 1920s. Ella Dixon?s protagonist Mary Erle, strikingly similar to author herself, was a representative new woman who displayed a wide range of new cultural perspectives from a feminist?s viewpoint, but her untimely desire in the capitalized society was not fully accomplished, just promising the potentiality of the female solidarity which might be achieved later by her feminist posterity.

• Journal of English Language & Literature
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• v.64 no.4
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• pp.565-584
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• 2018

The pedagogical dynamic dramatized in Shaw's Pygmalion, which sets man as a distinct pedagogical authority and woman his subject spawning similarly patterned plays many decades later, has been relatively overlooked in the play's criticism clouded by its predominantly mythical theme. Shaw stages Eliza's pedagogical subordination to Higgins followed by her Nora-esque exit with the declaration, "I'll go and be a teacher." The central premise of this article is that the pioneering modern playwright and feminist's pedagogical rewriting of A Doll's House sets out a historical dialogue between Eliza, a new woman who repositions herself as a teacher renouncing her earlier subordinate pedagogical position that is culturally ascribed to women while threatening to replace her paternal teacher, and her immediate precursors, that is, Victorian women teachers whose professional career was socially "anathematized." Through a historical probe into the social status of Victorian women teachers, the article attempts to align their abortive career with Eliza's new womanly re-appropriation of the profession of teaching. With Pygmalion as the starting point of its query, this article conducts a historical survey on the literary representation of pedagogical women from the mid to late Victorian era to the turn of the century. Reading a wide selection of novels and plays alongside of Pygmalion (1912), such as Jane Eyre (1847), A Doll's House (1879), An Enemy of the People (1882), The Odd Women (1893), and The Importance of Being Earnest (1895), it contextualizes Eliza's resolution to be a teacher within the history of female pedagogy. This historical contextualization of the career choice of one of the earliest new women characters in modern drama helps appraise the historical significance of such choice.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.261-270
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• 2020

In this study, we identify promising technologies for Piggyback transportation system by analyzing the relevant patent information. In order for this, we first develop the patent database by extracting relevant technology keywords from the pioneering research papers for the Piggyback flactcar system. We then employed textmining to identify the frequently referred words from the patent database, and using these words, we applied the LDA (Latent Dirichlet Allocation) algorithm in order to identify "topics" that are corresponding to "key" technologies for the Piggyback system. Finally, we employ the ARIMA model to forecast the trends of these "key" technologies for technology forecasting, and identify the promising technologies for the Piggyback system. with keyword search method the patent analysis. The results show that data-driven integrated management system, operation planning system and special cargo (especially fluid and gas) handling/storage technologies are identified to be the "key" promising technolgies for the future of the Piggyback system, and data reception/analysis techniques must be developed in order to improve the system performance. The proposed procedure and analysis method provides useful insights to develop the R&D strategy and the technology roadmap for the Piggyback system.

• International Journal of High-Rise Buildings
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• v.11 no.1
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• pp.1-14
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• 2022

Debates on what is the first skyscraper have been ongoing from time to time since the construction of the Home Insurance Building in Chicago in 1885, which is generally recognized as the first built skyscraper. This paper attempts to verify this assertion through a detailed investigation after identifying the criteria that characterize a skyscraper. By considering and examining several competing buildings for the title of "first skyscraper" in terms of their levels of satisfying these criteria, the paper reconfirms that the Home Insurance Building in Chicago indeed qualifies as the first skyscraper and is the harbinger of future skyscrapers. By introducing technological and associated architectural innovations in this pioneering building, its designer William Le Baron Jenney paved the way for the construction of future skyscrapers. In traditional construction, heavy masonry walls especially at lower levels did not allow large window openings in exterior walls that would permit ample daylight. For the Home Insurance Building, originally built with 10 stories, Jenney created a metal-framed skeletal structure that carried the building's loads, making the building lighter and allowed for large windows permitting ample natural light to the building's interior. The exterior iron columns were encased in relatively small masonry piers mainly for fireproofing, weather-protection and façade aesthetics. Relying on the structural framing on the building's perimeter, the exterior masonry thus turned into a rudimentary "curtain wall" system, heralding the use of curtain wall construction in future skyscrapers. This building's innovative structural system led to what is known as the "Chicago Skeleton," and eventually produced remarkable skyscrapers all over the world.

• Journal of Korean Academy of Nursing
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• v.51 no.6
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• pp.689-702
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• 2021

Purpose: This study aimed to develop a situation-specific theory to explain nurses' experiences of the COVID-19 crisis. Methods: The participants were 16 hospital nurses who experienced the COVID-19 crisis. Data were collected through in-depth individual interviews from September 2, 2020 to January 20, 2021. Transcribed interview contents were analyzed using Corbin and Strauss's grounded theory method. Results: A total of 38 concepts and 13 categories were identified through an open coding process. The core category found was becoming a pioneering nurse who turns crises into opportunities. The causal conditions were the chaos of being exposed defenselessly to an unexpected pandemic, fear caused by a nursing care field reminiscent of a battlefield, and moral distress from failing to protect patients' human dignity. The contextual conditions were feeling like the scapegoat of the hospital organization, increasing uncertainty due to the unpredictable state of COVID-19, and relative deprivation due to inappropriate treatment. The central phenomenon was suffering alone while experiencing the dedication of the COVID-19 hero image. The action/interactional strategy were efforts to find a breakthrough and getting the nurse's mind right, and the intervening conditions were gratitude for those who care for broken hearts and getting used to myself with repetitive work. The Consequences were becoming an independent nurse and frustration with the unchanging reality. Conclusion: This study provides the foundation for the nurse's situation-specific theory of the COVID-19 crisis by defining the crisis perceived by nurses who cared for COVID-19 patients and suggesting types of coping with the crisis.

• Journal of the Korean earth science society
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• v.43 no.5
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• pp.569-578
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• 2022

Oceanic Anoxic Event 2 (OAE2) represents a period of mid-Cretaceous when black shale was deposited worldwide. This short period of perturbations in the global biogeochemical cycles spans the Cenomanian-Turonian boundary, marking the peak of the Cretaceous greenhouse, which is characterized by elevated atmospheric pCO₂, sealevel highstand, and expansion of oxygen minimum zone. Since the pioneering work in the 1970s, numerous studies have investigated the cause and consequences of the event based on geochemical and isotope proxies, and it is now widely accepted that the enhanced primary production and volcanism during the Cenomanian-Turonian boundary interval were the key environmental factors that triggered OAE2. This study briefly reviews previous OAE2 studies of the carbon, sulfur, and trace metal cycles for mechanistic understanding of the biogeochemical processes during the event.

• Journal of Korea Trade
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• v.24 no.5
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• pp.87-105
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• 2020

Purpose - The purpose of the study is to propose a theoretical framework of cross-border e-commerce ecosystems based on blockchain technology. The ecosystem includes five systems, namely, crossborder supply chain intelligent system, cross-border logistics system, cross-border payment system, cross-border product quality traceability system and cross-border customs supervision system. Design/methodology - This study firstly derived the main improvement factors for the new ecosystem based on blockchain through prior research and expert interviews on cross-border e-commerce. Then explored the use of virtue of decentralization, anti-counterfeiting traceability, consensus mechanism, smart contract and other means of the core technology of blockchain to overcome the bottleneck of cross-border e-commerce development among Korea, China, and Japan. Finally, proposed valuable implications in both theoretical and practical perspectives. Findings - As a result, we combined with the problems existing in cross-border e-commerce among Korea, China and Japan, this paper proposes a solution based on blockchain. On this basis, it constructs a cross-border e-commerce ecosystem among these three countries, including five systems. In addition, we discuss the main problems existing in the current blockchain, such as low transaction concurrency, security loopholes, and inconsistent standards, the corresponding countermeasures are proposed from the technical level, security level and industry standards. Originality/value - This study is the first to apply the blockchain technology to solve the cross-border e-commerce problems in Korea, China and Japan, which is of pioneering significance in both literature and practice. Block chain technology is in the ascendency. This study provides technical solutions for promoting the development of cross-border e-commerce import and export trade between Korea, China and Japan.

• Journal of Korea Port Economic Association
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• v.39 no.1
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• pp.17-34
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• 2023

The maritime industry is undergoing significant changes due to digitalization and decarbonization, collectively known as "2D." This study investigates how these transformations are impacting the industry's business models. Since the changes are still ongoing, a cognitive approach was used to derive business models, rather than relying on actual case studies. The study presents experimental maritime business models that correspond to the four types of business model frameworks (or archetypes), along with recent trends for each model. The research results show that new business models are emerging in various areas, including the commercial and technical fields of the maritime industry. This thought-provoking study is significant as a pioneering investigation that will stimulate subsequent case-based research in academia and provide strategic guidance to market participants or policy makers in the maritime industry.

• Nuclear Engineering and Technology
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• v.55 no.8
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• pp.3046-3053
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• 2023

Radon is a naturally occurring carcinogenic agent, poses a serious health hazard when inhaled or ingested in significant amounts. The water of the Padma river will be used as a tertiary coolant for the soon-to-be-commissioned 'Rooppur Nuclear Power Plant'. Hence, it is important to assess the radiological status of the river prior to the commission of this power plant. Therefore, for the first time, 25 samples of water were collected from various locations of the Padma River and analyzed for radon concentration using the RAD H₂O (DURRIDGE) radon monitoring device. The radon concentrations were found in the range from 0.077 ± 0.036 to 0.494 ± 0.211 Bq/L with a mean of 0.250 ± 0.093 Bq/L. All the concentrations were found to be below the recommended limits of WHO (100 Bq/L) and USEPA (11.1 Bq/L). The mean annual effective dose due to the radon exposure via inhalation and ingestion pathways were 0.638 µSv/y and 0.629 µSv/y, respectively, which were all well below the annual effective dose recommended by WHO (0.1 mSv/y). Since Bangladesh lacks a national safety limit of radon in water, this pioneering study provides baseline data on radon levels for the environment around Rooppur Nuclear Power Plant.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.17-25
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• 2023

The alarming global prevalence of Type 2 Diabetes Mellitus (T2DM) has catalyzed an urgent need for robust, early diagnostic methodologies. This study unveils a pioneering approach to predicting T2DM, employing the Extreme Gradient Boosting (XGBoost) algorithm, renowned for its predictive accuracy and computational efficiency. The investigation harnesses a meticulously curated dataset of 4303 samples, extracted from a comprehensive Chinese research study, scrupulously aligned with the World Health Organization's indicators and standards. The dataset encapsulates a multifaceted spectrum of clinical, demographic, and lifestyle attributes. Through an intricate process of hyperparameter optimization, the XGBoost model exhibited an unparalleled best score, elucidating a distinctive combination of parameters such as a learning rate of 0.1, max depth of 3, 150 estimators, and specific colsample strategies. The model's validation accuracy of 0.957, coupled with a sensitivity of 0.9898 and specificity of 0.8897, underlines its robustness in classifying T2DM. A detailed analysis of the confusion matrix further substantiated the model's diagnostic prowess, with an F1-score of 0.9308, illustrating its balanced performance in true positive and negative classifications. The precision and recall metrics provided nuanced insights into the model's ability to minimize false predictions, thereby enhancing its clinical applicability. The research findings not only underline the remarkable efficacy of XGBoost in T2DM prediction but also contribute to the burgeoning field of machine learning applications in personalized healthcare. By elucidating a novel paradigm that accentuates the synergistic integration of multifaceted clinical parameters, this study fosters a promising avenue for precise early detection, risk stratification, and patient-centric intervention in diabetes care. The research serves as a beacon, inspiring further exploration and innovation in leveraging advanced analytical techniques for transformative impacts on predictive diagnostics and chronic disease management.