• Culinary science and hospitality research
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• v.13 no.2
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• pp.275-291
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• 2007

The growth of foodservice industry has caused keen competition in the family restaurant industry. For a differentiation strategy to be competitive, on the preferential basis, it is necessary for each family restaurant business to analyze its position in the market. Therefore, this study is to certify customers' perceived servicescape and image similarity and analyzes positioning of seven family restaurants. For this research, multidimensional scaling(MDS) is performed to determine how they are positioned relative to competitors. According to the result of the positioning map(ALSCAL and PROFIT map), it is found that Outback steakhouse, T.G.I. Friday's, Bennigans' have more strong competitiveness than VIPS, Marche and Sizzler in servicescape factors and restaurant selection attribute except menu diversity. But the preference order does not follow the order of competitiveness. This result from the positioning map means that each business needs various marketing strategies that cannot be copied easily.

• Culinary science and hospitality research
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• v.10 no.1
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• pp.153-166
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• 2004

This study analyzed the positioning of family restaurants by image factors, as a result, customers divided into 5 groups from 7 restaurants. All customers realized similar images from subject restaurants, which told that those restaurants are within an intense competition. Strong points of each restaurant are as follows by factors; Outback and TGIF was confidence, Sizzler and Outback was response, Outback and Skylark was type, Bennigan's and TGIF was reliability, Bennigan's and Outback was reactivity. Weak points each restaurant are as follows by factors; Bennigan's and TonyRoma's were confidence and response, TonyRoma's and Marche was type, Sizzler and TonyRoma's was confidence, Sizzler and TonyRoma's was reactivity. The analysis on each restaurants' images by factors told that response and reactivity were above the average, confidence and reliability were around the average, type was the lowest value. It told that customers didn't give a high rating toward restaurants' food flavor, freshness, cleanliness, therefore restaurants need pay more attention to positioning strategies, Instead, customers gave a high rating toward service, accessibility, menu-variety, and parking-convenience, therefore, continuous improvement is required.

• International Journal of Costume and Fashion
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• v.6 no.1
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• pp.30-47
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• 2006

La $d\'{e}marche$ et l'objet de cette recherche sont d'analyser, psychiquement, $th\'{e}oriquement$, les marques de $l'intersexualit\'{e}$ $pr\'{e}sentent$ en Orient et les $\'{e}l\'{e}ments$ intersexuels, binaires dans le $v\hat{e}tement$, et $\'{e}galement$ de comprendre $l'ambiguit\'{e}$ ou encore la fusion des $identit\'{e}s$ $sexu\'{e}es$, qui $pr\'{e}sente$ symboliquement a travers le $v\hat{e}tement$, dans la $soci\'{e}t\'{e}$ moderne. La base fondamentale dans la $th\'{e}orie$ de l'Orient est que l'univers se divise en Yin ($caract\`{e}re\;f\'{e}minin$) et Yang ($caract\`{e}re$ masculin) et que tout individu $poss\`{e}de$ $\'{e}galement$ ce couple, en quelque sorte un intersexuel qui s'ignore, avec des variations selon l'individu. En $d\'{e}finitive$, les compositions doubles des $\'{e}l\'{e}ments$ dans le $v\hat{e}tement$ oriental montraient $embl\'{e}matiquement$ nos $qualit\'{e}s$ doubles, masculins et $f\'{e}minins$, et les trois $\'{e}l\'{e}ments$ semblent primordiaux pour $l'\'{e}lucidation$ de la $pr\'{e}disposition$ du porteur : la couleur du tissu, sa forme et la texture du $v\hat{e}tement$. La mode d'auiourd'hui oscille entre masculin et $f\hat{e}minin$. Cette fusion de la mode semble le reflet d'une tendance intersexuelle et d'une fusion du genre. Ainsi, cette recherche est, $\grave{a}$ travers $l'\'{e}l\'{e}ment$ masculin ou $f\'{e}minin$ des $v\hat{e}tements$, pour tenter de discerner lesprit, l'intention et le $caract\`{e}re$ sexuel dominant du porteur.

• Smart Structures and Systems
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• v.25 no.5
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• pp.605-617
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• 2020

The existence of damages in structures causes changes in the physical properties by reducing the modal parameters. In this paper, we develop a two-stages approach based on normalized Modal Strain Energy Damage Indicator (nMSEDI) for quick applications to predict the location of damage. A two-dimensional IsoGeometric Analysis (2D-IGA), Machine Learning Algorithm (MLA) and optimization techniques are combined to create a new tool. In the first stage, we introduce a modified damage identification technique based on frequencies using nMSEDI to locate the potential of damaged elements. In the second stage, after eliminating the healthy elements, the damage index values from nMSEDI are considered as input in the damage quantification algorithm. The hybrid of Teaching-Learning-Based Optimization (TLBO) with Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) are used along with nMSEDI. The objective of TLBO is to estimate the parameters of PSO-ANN to find a good training based on actual damage and estimated damage. The IGA model is updated using experimental results based on stiffness and mass matrix using the difference between calculated and measured frequencies as objective function. The feasibility and efficiency of nMSEDI-PSO-ANN after finding the best parameters by TLBO are demonstrated through the comparison with nMSEDI-IGA for different scenarios. The result of the analyses indicates that the proposed approach can be used to determine correctly the severity of damage in beam structures.

• International Journal of Costume and Fashion
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• v.5 no.2
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• pp.28-45
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• 2005

La $d{\acute{e}}marche$ et l'objet de cette recherche sont d'analyser, psychiquement, biologiquement, les marques de $l'intersexualit{\acute{e}}$ $pr{\acute{e}}sentent$ en Occident et les elements intersexuels, binaires dans le $v{\hat{e}}tement$, et ${\acute{e}}galement$ de comprendre $l'ambigu{\ddot{i}}t{\acute{e}}$ ou encore la fusion des $identit{\acute{e}}s$ $sexu{\acute{e}}es$. qui $pr{\acute{e}}sente$ symboliquement ${\grave{a}}$ travers le $v{\hat{e}}tement$, dans la $soci{\acute{e}}t{\acute{e}}$ moderne. $Malgr{\acute{e}}$ tous les points communs et $diff{\acute{e}}rents$, la base fondamentale dans les $th{\acute{e}}ories$ de I'Occident est que tout individu est psychiquement, biologiquement en quelque sorte un intersexuel qui s'ignore, avec des variations selon l'individu. En $d{\acute{e}}finitive$, les compositions doubles des ${\acute{e}}l{\acute{e}}ments$ dans le $v{\hat{e}}tement$ occidental montraient $embl{\acute{e}}matiquement$ nos $qualit{\acute{e}}s$ doubles, masculins et $f{\acute{e}}minins$, et les trois ${\acute{e}}l{\acute{e}}ments$ semblent primordiaux pour $l'{\acute{e}}lucidation$ de la $pr{\acute{e}}disposition$ du porteur : la couleur du tissu, sa texture et la forme du $v{\hat{e}}tement$. La mode d'aujourd'hui bascule entre masculin et $f{\acute{e}}minin$. Cette fusion de la mode semble le reflet d'une tendance intersexuelle et d'une fusion du genre.

• Archives of Plastic Surgery
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• v.40 no.1
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• pp.44-50
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• 2013

Background The aim of this investigation was to systematically review the current literature to provide the best data for indications, outcomes, survival, and complication rates of pedicled propeller perforator flaps for upper body defects. Methods A comprehensive literature review for articles published from January 1991 to December 2011 was performed using the PubMed, Medline, and Cochrane Databases. Articles without available full-text, single case reports or papers with excessive missing data were excluded. Papers reporting pedicle-perforator (propeller) flaps used for lower extremity reconstruction were excluded from meta-analysis. Results From the initial 1,736 studies our search yielded, 343 studies qualified for the second stage of selection. Of 117 full-text reports screened, 41 studies, met the definitive inclusion and exclusion criteria. Of the selected 41 articles, 26 were case series, original papers or retrospective reviews and were included, whereas 15 were case report papers and therefore were excluded. Two hundred ninety-five propeller flaps were reported to have been used in a total of 283 patients. Indications include repair of trauma-induced injuries, post-trauma revision surgery, cancer resection, chronic infection, pressure sores, and chronic ulcers with a major complication rate (3.3%) comparable to that of free flaps. No specific exclusion criteria for the procedure were presented in the studies reviewed. Conclusions Pedicled propeller flaps are a versatile and safe reconstructive option that are easy and quick to raise and that provide unlimited clinical solutions because of the theoretical possibility of harvesting them based on any perforator chosen among those classified in the body.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.31-42
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• 2024

Different industries mostly rely on quality certification for promoting their products or brands. Although getting quality certification, specifically by human experts is a tough job to do. But the field of machine learning play a vital role in every aspect of life, if we talk about quality certification, machine learning is having a lot of applications concerning, assigning and assessing quality certifications to different products on a macro level. Like other brands, wine is also having different brands. In order to ensure the quality of wine, machine learning plays an important role. In this research, we use two datasets that are publicly available on the "UC Irvine machine learning repository", for predicting the wine quality. Datasets that we have opted for our experimental research study were comprised of white wine and red wine datasets, there are 1599 records for red wine and 4898 records for white wine datasets. The research study was twofold. First, we have used a technique called backward elimination in order to find out the dependency of the dependent variable on the independent variable and predict the dependent variable, the technique is useful for predicting which independent variable has maximum probability for improving the wine quality. Second, we used a robust machine learning algorithm known as "XGBoost" for efficient prediction of wine quality. We evaluate our model on the basis of error measures, root mean square error, mean absolute error, R2 error and mean square error. We have compared the results generated by "XGBoost" with the other state-of-the-art machine learning techniques, experimental results have showed, "XGBoost" outperform as compared to other state of the art machine learning techniques.