• PNF and Movement
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• v.15 no.2
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• pp.115-124
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• 2017

Purpose: Researchers found that blocks of evidence-based practice (EBP) implementation lacked opportunities for EBP education. The study found that physical therapists had negative views of research as well as their roles in EBP, lacked confidence in EBP, and had limited access to web-based materials. The purpose of this study was to highlight the importance of information research technology for efficient EBP in a clinical environment. Methods: The web-based information research technologies that should be used for sustainable EBP include: the clinical practice guideline (CPG) and PubMed's My NCBI service. Journal mailing services and other academic information sources should also be used to gather information from RSS feeds. An EBP library or archive must be created. A site that provides EBP-specific information is also needed. Results: We should usually do EBP. Practitioners must learn and use information technologies that will help them improve their EBP skills. Conclusion: Facilitating EBP implementation and building an EBP system require related education as well as a practical work environment and equipment. However, the highest priority is individual efforts and trial. Information technology will complement the lack of time. It is important to use information research technology to overcome real obstacles. Lasting EBP must use a number of web-based information research technologies to overcome the practical challenges encountered in EBP implementation.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.46 no.5
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• pp.513-519
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• 2013

The fishing industry in Europe has faced environmental, economic, and social challenges. Since the early 2000s, a key tool in addressing these challenges has been information and communication technology (ICT), which has helped to modernize fishery systems in European Union (EU) countries. The ICT used in EU fisheries can be categorized broadly as 1) macro-technologies such as satellite and other remote sensing technologies in combination with geographical information systems, 2) micro-technologies adapted for fishing vessels such as echo sounders, ship navigation devices, and mobile communication devices to connect fishermen and consumers, and 3) onshore micro-technologies related to internet technology and mobile devices. The European Monitoring Center on Change has used ICT to effectively manage fisheries bio-resources. This use of ICT has contributed to the development of sustainable and competent fisheries in the 2000s, even though the knowledge-sharing practices involved are contrary to the long tradition of autonomy within the fishery industry.

• Nuclear Engineering and Technology
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• v.53 no.5
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• pp.1658-1663
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• 2021

Research on climate change and global warming on the power generation systems are rapidly increasing because of the Importance of the sustainable energy supply, thus the electricity supply since its growing share, in the end, uses energy supply. However, some researchers conducted this field, but many research gaps are not mentioned and filled in this field's literature since the lack of general statements and the quantitative models and formulation of the issue. In this research, an exergy-based model is implemented to model a set of six power generation technologies (combined cycle, gas turbine, nuclear plant, solar PV, and wind turbine) and use this model to simulate each technology's responses to climate change impacts. Finally, using these responses to define and calculate a formulation for the relationship between the system's energy performance in different environmental situations and a dimensionless index to quantize each power technology's reliability against the climate change impacts called the Pahlev reliability index (P-index) of the power technology. The results have shown that solar and nuclear technologies are the most, and wind turbines are the least reliable power generation technologies.

• KIEAE Journal
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• v.11 no.2
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• pp.113-122
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• 2011

About 30% of the total annual energy consumption on the earth is used in the architectural activities, including construction, maintenance management, and demonstration of a building. Also, 40% of the natural resource consumption, 50% of $CO_2$ emissions, and 20%~50% of industrial waste emissions are produced from a building. Unfortunately, the percentage of its energy consumption is staidly increasing year by year, about 8% every year, and it recently causes a sustainable architectural concept to come to the fore globally. Indeed, the importance of the sustainable architecture is increasingly becoming a worldwide trend. BIM(Building Information Modeling) is considered a new paradigm and a powerful method in building design, construction and maintenance. BIM has characteristics similar to a building's systems. All of the components in a model have a parametric relationship to each other. Understanding and capitalizing on these interrelationships typically takes numerous iterations that span multiple projects. Optimizing the integrated strategies and technologies for a high-performance, sustainable design requires a continual look at understanding how they work together to deliver the best potential. Throughout all of these concepts, we are going to be using a variety of tools that revolve around a BIM model. Some of the tools will require a heavier use of BIM than others, but all of them will utilize the model geometry you've created as part of your design. This study presents importance and validity of energy performance analyzation in the pre-design phase for the sustainable architecture with the support of Building Information Modeling (BIM) technology.

• Advanced Industrial SCIence
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• v.3 no.2
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• pp.17-22
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• 2024

Recently, as the ICT field has been used in various environments, it has become possible to analyze pests by crops, use robots when harvesting crops, and predict by big data by utilizing ICT technologies in a sustainable agricultural environment. However, in a sustainable agricultural environment, efforts to solve resource depletion, agricultural population decline, poverty increase, and environmental destruction are constantly being demanded. This paper proposes an artificial intelligence-based big data processing analysis method to reduce the production cost and increase the efficiency of crops based on a sustainable agricultural environment. The proposed technique strengthens the security and reliability of data by processing big data of crops combined with AI, and enables better decision-making and business value extraction. It can lead to innovative changes in various industries and fields and promote the development of data-oriented business models. During the experiment, the proposed technique gave an accurate answer to only a small amount of data, and at a farm site where it is difficult to tag the correct answer one by one, the performance similar to that of learning with a large amount of correct answer data (with an error rate within 0.05) was found.

• Journal of Fashion Business
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• v.28 no.2
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• pp.92-108
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• 2024

This study examines the measures and implementation strategies needed to develop sustainable design from an international perspective, using examples of sustainability practices and product planning from Helen Kaminski, a representative fashion brand of positive luxury. The research method includes a literature study on positive luxury, a case study on positive luxury brands, and an empirical study where the researcher participated in the development of Helen Kaminski's design. The study identifies the following measures needed to develop designs for sustainable products: First, the development of designs that increase circularity; Second, the use of certified materials and strict adherence to material usage; Third, the simplification of production methods or development of new technologies for this purpose; Fourth, ensuring that design development incorporate the traditions and unique handicraft techniques of the local community. The implementation strategies required for a sustainable product planning process are as follows. First, changes in the product planning stage and expansion of participating members are needed. Second, securing and conducting prior inspections of the supply chain for ethical sourcing is required. Third, prioritizing the use of eco-friendly materials and material development. Fourth, establishing a stage for selecting and evaluating objects that will become representative designs with sustainability. As a result, this study can serve as basic data to strengthen corporate competitiveness and establish itself as a fashion brand for sustainability through actionable strategies applicable to the domestic fashion industry in the future.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.5
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• pp.185-196
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• 2011

In order to draw some strategic implications for the sustainable growth of emerging technologies this paper attempts to dynamics underlying the 'hype cycle' ever occurring in course of coevolution of technology and society. Particularly, a series of basic questions in the context of sustainability are explored to answer by simulating the hype system structure: What makes hype cycle occur? how to enhance the tapering level at the final stage of coevolution? what are the key policy leverages and when is the right time for the policy intervention? This study perhaps give some insights not necessarily to the academics but also to the practitioners and policy makers.

• Environmental Engineering Research
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• v.22 no.1
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• pp.116-124
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• 2017

The study makes an attempt to investigate the causal nexus between carbon dioxide emissions, GDP per capita, industrialization and population with an evidence from Rwanda by employing a time series data spanning from 1965 to 2011 using the autoregressive distributed lag model. Evidence from the study shows that carbon dioxide emissions, GDP per capita, industrialization and population are co-integrated and have a long-run equilibrium relationship. Evidence from the Granger-causality shows a unidirectional causality running from industrialization to GDP per capita, population to carbon dioxide emissions, population to GDP per capita and population to industrialization. Evidence from the long-run elasticities has policy implications for Rwanda; a 1% increase in GDP per capita will decrease carbon dioxide emissions by 1.45%, while a 1% increase in industrialization will increase carbon dioxide emissions by 1.64% in the long-run. Increasing economic growth in Rwanda will therefore reduce environmental pollution in the long-run which appears to support the validity of the environmental Kuznets curve hypothesis. However, industrialization leads to more emissions of carbon dioxide, which reduces environment, health and air quality. It is noteworthy that the Rwandan Government promotes sustainable industrialization, which improves the use of clean and environmentally sound raw materials, industrial process and technologies.

• Journal of Biomedical Engineering Research
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• v.39 no.5
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• pp.208-212
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• 2018

Microbial fuel cell (MFC) technology has been attractive since it can not only treat organic waste in an eco-friendly way by digesting it but also generate electricity by the unique metabolic process of microbes. However, it hasn't been employed in practical use until now because it is hard to integrate a small electricity up to an adequate amount of electric power and difficult to keep its bio-electric activity consistent. In this study, we combined an energy harvester with MFC (MFC-EH) to make the power-integration convenient and developed an energy self-sustainable wireless sensor system driven by a stable electric power produced by MFC-EH. Additionally, we build the low power application measuring data to be cast by the web in real-time so that it can be quickly and easily accessed through the internet. The proposed system could contribute to improvement of waste treatment and up-cycling technologies in near future.

• Asian Journal of Business Environment
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• v.11 no.1
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• pp.39-50
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• 2021

Purpose: This study seeks to establish the environmental damage theory applicable to Kenya. The analysis is based on annual data drawn from World Bank on carbon dioxide emissions (CO2e) and gross domestic product per capita (GDPPC) for Kenya spanning 1963 to 2017. Research Methodology: The study adopts explanatory research design and autoregressive distributed lag model for analysis. Results: The results revealed a coefficient of -0.017 for GDPPC and 0.004 for GDPPC squared indicating that economic growth has negative effect on CO2e in the initial stages of growth but positive effect in the high growth regime with the marginal effect being higher in the initial growth regime. The findings suggest a U-shaped relationship consistent with Brundtland Curve Hypothesis (BCH). Conclusions: The findings emphasize the need for sustainable development path that enables present generations to meet own needs without compromising the capacity of future generations to meet their own. Sustainable development may include, investment in renewable energies like wind, solar and adoption of energy efficient technologies in production and manufacturing. The study concludes that BCH is applicable to Kenya and that developing affordable and effective mechanisms to boost sustainable development implementation is necessary to decrease the anthropogenic impact in the environment without any attendant reduction in the economic growth.