The purpose of this study was to test a large screen and rear-projected virtual reality (VR) interface in color choice for environmental design. The study piloted a single three-dimensional model of a bedroom including furniture in different color combinations. Using a mouse with an $8'{\times}6'$ rear-projector screen, participants could move 360 degree motion in each room. The study used 34 college students who viewed and interacted with virtual rooms projected on a large screen, then filled out a survey. This study aimed to understand the interaction between the users and the VR interface through measurable dimensions of the interaction: interest and user perceptions of presence and emotion. Specifically, the study focused on spatial presence, topic involvement, and enjoyment. Findings should inform design researchers how empirical evidence involving environmental effects can be obtained using a VR interface and how users experience the interaction with the interface.
The research purposes are (1) to identify male market segmentation based on fashion involvement, (2) to compare purchase intention of clothing items and store attribute evaluation at two different retail formats, department store and internet shopping mall, and (3) to compare the influence of store attributes on intention to purchase fashion products at two retail formats among segments. The data are collected from 275 male consumers through internet research institute. The major results of this study are as follows. First, the dimensions of fashion involvement are identified into external involvement and internal involvement. Male respondents present high mean scores on external involvement items, emphasizing social roles of clothing. Two involvement factors generate three market segments: high involvement group(32.4%), external involvement group(44%), and low involvement group(23.6%). Second, high involvement group shows higher mean scores on purchase intention of seven clothing items than low involvement group. Third, department store attributes are identified into four factors, product assortment, quality per price, service, and symbolic image, while internet shopping mall includes assortment & convenience, quality per price, and symbolic image. High involvement group again presents higher mean scores on each retail attribute factor than low involvement group. Finally, quality per price is the most significant variable to explain the purchase intention at department store among three market segment, whereas assortment & convenience and quality per price are important predictors to increase purchase intention at internet shopping mall. However, relative importance of each attribute variable is different among three involvement groups.
The purpose of this study was to analyze the dimensions of clothing benefits sought of male and female consumers in their twenties. It also aimed to investigate the demographic characteristics associated with customers types and the relationship among the related variables by the consumers types. The data were analyzed by factor analysis, one-way ANOVA, Duncan test, cluster analysis, and $X^2$-test. The results of this study are as follows: 1) The clothing benefits consisted of five factors, which were the pursuit of style, individuality, popular brand, vogue, and practicality. Based on these five factors, respondents were classified into four consumer types, which were style-and-trend-oriented, practicality-oriented, popular brand-oriented, and fashion indifference consumers. 2) In terms of the demographics, there were significant differences in age, gender, and total income among the consumer types of clothing benefits. 3) There was a significant difference in single brand loyalty in terms of the consumers types of clothing benefits. The popular brand-oriented group showed the highest mean in the single brand loyalty, while the practicality-oriented group did the lowest. 4) There were significant differences in the selection of the stores among consumers types of clothing benefits. Specifically, the style-and-trend-oriented group the most selected department stores, while practicality-oriented group chose fashion outlets or online shopping malls the most. Additionally, in terms of the information sources, the style-and-trend-oriented group the most frequently used magazine ads, while the popular-brand-oriented group preferred commercials on TV or radio, direct mail, or flyers from department stores. On the other hand, the fashion indifference group the most frequently used mass media.
Amphotericin B (AmB) is a drug of choice for the treatment of systemic fungal diseases, but its use is considerably limited due to a high incidence of toxicity, particularly nephrotoxicity. It has been demonstrated that the toxicity of AmB is caused by self-aggregated species of the drug and that unaggregated (monomeric) drug is nontoxic but still expresses antifungal activity. Poly (ethylene oxide) (PEO) is a water-soluble polymer, which may impact the aggregation state of AmB. We have studied the aggregation state of AmB as a function of PEO molecular weight and concentration. At 3,000 and 8,000 g/mole, there was minimal or no change of critical aggregation concentration (CAC) of AmB regardless of the concentration of polymer. By contrast at 20,000 g/mole, the CAC of AmB strikingly increased to 24.3 and $37.5\;{\mu}M$ at 5.0% and 10 % w/v of polymer, respectively. The critical overlap concentration (COC) of PEO 20,000 g/mole was 5.5%. It appears that an interaction between monomeric AmB and polymer coil increases above the COC, competing with self-aggregation of the drug. Accordingly, the degree of aggregation of AmB stayed low and the toxicity became less. There was no such effect at 3,000 and 8,000 g/mole of PEO, owing perhaps to small dimensions in comparison to AmB. Based upon these findings, less toxic AmB formulation may be developed by a pharmaceutical technique such as solid dispersion system containing both AmB and PEO 20,000 g/mole.
Behzadfar, Behnam;Maleki, Ahmad;Yaghin, Mohammad Ali Lotfollahi
Earthquakes and Structures
/
v.19
no.4
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pp.303-313
/
2020
Spacious experimental and numerical investigation has been conducted by researchers to increase the ductility and energy dissipation of concentrically braced frames. One of the most widely used strategies for increasing ductility and energy dissiption, is the use of energy-absorbing systems. In this regard, the cyclic behavior of a chevron bracing frame system equipped with multi-pipe dampers (CBF-MPD) was investigated through finite element method. The purpose of this study was to evaluate and improve the behavior of the CBF using MPDs. Three-dimensional models of the chevron brace frame were developed via nonlinear finite element method using ABAQUS software. Finite element models included the chevron brace frame and the chevron brace frame equipped with multi-pipe dampers. The chevron brace frame model was selected as the base model for comparing and evaluating the effects of multi-tube dampers. Finite element models were then analyzed under cyclic loading and nonlinear static methods. Validation of the results of the finite element method was performed against the test results. In parametric studies, the influence of the diameter parameter to the thickness (D/t) ratio of the pipe dampers was investigated. The results indicated that the shear capacity of the pipe damper has a significant influence on determining the bracing behavior. Also, the results show that the corresponding displacement with the maximum force in the CBF-MPD compared to the CBF, increased by an average of 2.72 equal. Also, the proper choice for the dimensions of the pipe dampers increased the ductility and energy absorption of the chevron brace frame.
Journal of the Korean Society of Clothing and Textiles
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v.22
no.3
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pp.353-364
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1998
Consumer knowledge has been discussed as an important concept to understand information processing such as information search and evaluation process. It has been defined as the amounts and contents of information in consumer's memory accumulated by experiences. According to literature review, experts who have much knowledge are likely to retrieve their information related to products for a purchase efficiency. Therefore, they are likely to simplify the information processing for a choice. The purpose of this study was to examine the relationship between clothing product knowledge and evaluative criteria for a purchase. The results were as follows; First, it was found out that evaluative criteria were composed of four dimensions such as the management, the esthetic, the fitness and the brand. Therefore, it is implied that evaluative criteria for purchasing clothing products were multidimensional. Second, the level of objective knowledge was low, and consumers perceived that they didn't have much knowledge related with clothing products. Also, the relationships between objective and subjective knowledge were positive but low. Third, the evaluative criteria were effected by the level of consumer's knowledge significantly. In subjective knowledge, the subjects in a high group considered all criteria more deeply than in a low group. But there was a significant difference only in the esthetic between two groups in objective knowledge. The results of this study imply that consumer knowledge may influence evaluation process. Knowledgeable consumer would consider product attributes deeply for evaluating clothing products, and especially, the esthetic would be an important factor as an attribute including the instrumental and expressive functions in a purchase phase. Therefore, consumer knowl- edge would be a basis of predicting expert's information processing and managing heavy buyer or loyal consumers in apparel industry.
Journal of the Korean Society of Clothing and Textiles
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v.33
no.1
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pp.92-103
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2009
The study is interested in the consumer's mixed choice of the internet and the offline stores. Therefore the purpose of study is to investigate if the clothing shopping orientation of consumers varies when they shop internet and offline, instead of classifying consumers into internet shoppers and offline shoppers. For the purpose, quantitative survey was carried out using 201 questionnaires from men and women in their twenties. The data were analyzed using factor analysis, Pearson's correlation analysis, Spearman's rank order correlation coefficient, t-test, and frequency analysis. The results are as following. First, the clothing shopping orientation structures of offline and internet stores were different each other. As the result of factor analysis, positive, brand oriented, economic, convenient conformity, convenient impulsive factors were extracted from offline store and rational, enjoying, goal oriented, conformity, brand oriented, convenient impulsive purchase factors were extracted from internet store respectively. Second, as the results of investigating the relationship between the clothing shopping orientation structures of offline and internet stores, positive(off)-enjoying(on), brand oriented(off)-brand oriented(on), convenient conformity(off)-conformity(on) had strong correlation s and the rest were peculiar to the each store type. Specifically, the goal oriented factor peculiar to the internet store was noticeable. Third, as the results of investigating the differences between clothing shopping orientation of offline and internet stores, the ranks of strong orientation dimension were different between two channels. As well, the mean differences were significant in goal oriented, conformity, brand oriented, and convenient impulsive purchase dimensions. This study has the significance that it investigated the variance of clothing shopping orientation according to the mixed selection trend of internet/offline.
Recently, CG (Conjugate Gradient) scheme for the optimization of the Rayleigh quotient has been proven a very attractive and promising technique for interior eigenvalues for the following eigenvalue problem, Ax=λx (1) The given matrix A is assummed to be large and sparse, and symmetric. Also, the method is very amenable to parallel computations. A proper choice of the preconditioner significantly improves the convergence of the CG scheme. We compare the parallel preconditioners for the computation of the interior eigenvalues of a symmetric matrix by CG-type method. The considered preconditioners are Point-SSOR, ILU (0) in the multi-coloring order, and Multi-Color Block SSOR (Symmetric Succesive OverRelaxation). We conducted our experiments on the CRAYT3E with 128 nodes. The MPI (Message Passing Interface) library was adopted for the interprocessor communications. The test matrices are up to $512{\times}512$ in dimensions and were created from the discretizations of the elliptic PDE. All things considered the MC-BSSOR seems to be most robust preconditioner.
This study identified the utilization characteristics of individual fashion taste expression on Instagram, and examined the impact of the use of the media on the formation and change of fashion taste. The research method conducted 1:1 indepth interviews with 19 people in their 20s and 30s using 501 images for analysis. The results of this study are as follows. Posting, searching, and reading behavior on Instagram were identified in three dimensions (self-expression, information gathering, and relationship orientation). In the image of self-expression, clothes were displayed at the time so that they could be checked and applied in other ways. Accumulated posts inspired people to look back on past styles and use them to reflect on the present. A media environment that was constantly exposed to information in real time allowed people to try various styles by imitating other users' posts and share in a process of creatively exploring styles to help organize fashion tastes developmentally. Participants had selective relationships with people of similar tastes who experienced the pleasure of enjoying through the exchange of tastes in fashion. These taste mates directly influenced the formation or change of tastes, serving as a criteria for styles or presenting new styles. In this study, fashion taste was formed by individual efforts of pursuit (not a collective social class choice) and was a continuous process of constantly changing that also exploring discriminatory styles.
Means-Ends Network model was used to identify factors of means objective(means supplied by vendor) and fundamental objectives(purchasing motivations) for purchasing decision-making structure and dimensions of customer values on purchasers of internet shopping mall in Korea and China. In Means-Ends Network 6 factors(shopping travel, shipping assurance, vendor trust, online payment, product choice, and recommender systems) were found as a means objectives and 3 factors(shopping convenience, internet environment, customer support) as a fundamental objectives of shopping. However the results of hypotheses test for Means-Ends Network show some important differences between two countries. Something important to notice here is that Chinese customers shopping in China recognize shipping assurance factor and vendor trust factor as important factors satisfying all fundamental objectives unlike as in the case of our country. As these two factors are attribution factors responsible to the sellers, it is identified that customers do not trust the sellers and sellers have not met the expectations of customers. Therefore, these results show that the seller efforts assuring the reliability of the seller themselves, such as conducting its own compensation scheme are more important rather than the establishment of the guarantee institution to guarantee reliability and delivery assurance of sellers and implementation of legal and institutional apparatus such as the settlement of e-commerce licence system. Though this study presents such an important marketing implications, it can be pointed out that the limits are this research was done on the general Internet shopping malls without considering the Internet shopping mall types of diversity, the survey was designed around the student samples for convenience of the investigation because it was an international survey and the collected data has been limited to the western coast cities, such as China's Beijing, Shanghai, and Dalian.
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