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- Reviewer Acknowledgements, Vol. 17, No. 1, May 2023
PubDate: Fri, 28 Apr 2023 07:35:34 +000
- Architecture Learns from Nature. The Influence of Biomimicry and Biophilic
Design in Building
Abstract: Architecture is currently seeking to create new and innovative building forms that are more sustainable and less harmful to the environment. In this pursuit, architects are turning to nature for inspiration, utilizing biomimicry and biophilic design principles to create buildings that are more in harmony with the natural world.The use of biomimicry and biophilic design has produced encouraging results, as architects are incorporating natural forms and elements into their building projects. This approach has the potential to bring significant advancements in innovation and research, particularly in fields such as green nanotechnology and sustainability.Moreover, the intentional incorporation of nature in building design can have a positive impact on workers' health, leading to reduced stress levels and greater individual satisfaction with their work or living environment. Thus, biomimicry and biophilic design can play a key role in achieving a more sustainable and healthier built environment.
PubDate: Thu, 27 Apr 2023 13:10:00 +000
- The Application of Information Assay Algorithm in Quality Control, Case
Study Research: The Body Making Hall of Peugeot 207
Abstract: This research inspected the requested of information assay algorithm in quality rein, situation research investigation: Peugeot 207 body entrance. Nowadays, human capability for manufacture and group of dataset have been developing swiftly. Most of facture frolic significant figure in this procedure; namely, prevalent utilization of computer capabilities in various body of knowledge, in expansion tools for set information, study and consistent knowledge systems, integrated banking systems, and electronic commerce. The explosive expansion in stored datum has given rise to new technologies and automated tools to transform the vast amount of datum into facts and knowledge, hence information assay is a solution for the obstacle. Information assay is prophesied to utilize of information assay tools in order to realize the templates and reliable interaction which has undisclosed so far. The willing research is requested to announce information assay in a manufacture company of Iran Automotive firm; that the original purpose is to demonstrate the reliable evaluation and some of dependability and precision controllers in the body construction company. In the recent researches, scholar efforts to provide this precision by cent and utilizing CLEMENTINE schedule, and attempts to show that when the researcher warrants a body, to what extent it can be possible to need to be re-diagnosed by the editors' instant response system. In the current research, the primary data of the quality information systems that have been accessed are used to perform calculations by the CLEMENTINE program. The findings of the study showed that the prediction is reliable in 85% of the opportunities. By using data analysis in the process of quality control and predicting the accuracy of people's performance in the bodybuilding salon and preventing the discovery of problems and defects in the reactivity department.
PubDate: Tue, 04 Apr 2023 09:23:27 +000
- An Intelligent Technique to Predict the Autism Spectrum Disorder Using Big
Data Platform
Abstract: Autism or autism spectrum disorder (ASD) is considered a psychiatric disorder. It is a condition that puts constraints on the use of linguistic, cognitive, communicative, and social skills and abilities. Recently, many data mining techniques have been developed to help autism patients by discovering the main features of the condition and the correlation between them. In this paper, we employ the association classification (AC) technique as a data mining approach to predict whether or not an individual has an autism. The Intelligent Classification Based on Association rules (ICBA) algorithm is proposed for finding the correlations between the features to decide whether an individual has autism in its early stage, especially in childhood. The ICBA algorithm incorporates the chi-square method to select the best feature to make the decision, in addition to proposing new techniques in all phases and increasing number of folds to 2size of data/10. The proposed algorithm is compared against four well-known AC algorithms in terms of accuracy to evaluate their behavior in the prediction task using big data platform. The results show a better performance for the ICBA algorithm in most experiments. Moreover, all of the considered algorithms had an increased level of accuracy when the chi-square method was used.
PubDate: Tue, 04 Apr 2023 02:37:09 +000
- The Line: A Zero Gravity Theory for Urban Design
Abstract: Investigating The Line, Saudi Arabia's newest megacity, through the lenses of the Cartesian and Relativity paradigms appears paradoxical, but it is critical to our understanding of future cities. Most cities worldwide have been experimenting with various concepts to connect people to nature but have yet to succeed. The Line pioneered a zero-gravity approach to balancing people's relationships with nature and people with themselves. This paper examines the essential urban design concepts and theories during the last century's quantum leaps in their development. The goal is to provide a framework for future cities by uncovering concepts for future cities regarding layout, density, urban space, and urban ecology through a comparative analysis with The Line.
PubDate: Thu, 09 Feb 2023 05:22:27 +000
- Understanding the Paradox in the Results of National Cultural Distance
Impact on International Joint Venture Performance: A Narrative Review of
Prior Literature
Abstract: The literature on international joint ventures (IJVs) continues to grow owing to their crucial importance in global market competition. National cultural distance (NCD) between partner firms is conventionally considered one of the main contributors to unsatisfactory IJV performance, leading to its dissolution. Nevertheless, there is no consensus on the extent of the impact of NCD on IJV performance, nor on whether this impact is predominantly positive or negative. Therefore, we conducted a narrative review to shed light on prior research (including the earliest works) to explore and clarify the causes of these apparent inconsistencies in the research’s results. Theoretically, the current research offers guidance for future study on the topic. Researchers should introduce moderator and mediator variables in pursuit of a more nuanced understanding such as mutual trust between partners. Practically, this paper will help IJV managers mitigate the negative effects of NCD and improve overall venture performance by selecting culturally intelligent managers, providing cross-cultural training for IJV staff, and implementing cooperative conflict resolution. Like any study, this paper has some limitations that should be examined by future researchers.
PubDate: Thu, 09 Feb 2023 05:13:19 +000
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