This study examined factors that influence purchase intention of ethically produced fashion products. Theory of Reasoned Action was used to understand consumer attitude formation and purchase intention of ethically produced fashion products. Two unique variables were studied (environmental awareness, environmental concern) with the consumer attitude toward the purchase intention of ethically produced products. The influence of subjective norms on purchase intention was also examined. The results showed the influence of environmental concern on both attitude and purchase intention along with the influence of attitude on purchase intention. The findings of this study contribute to the body of the existing knowledge in the area of ethical production by providing explanations and a broad understanding of the factors that influence purchase intention of ethically produced fashion products. The results will also provide insight to firms wanting to effectively convey pro-environmental efforts to consumers that will help branding, positioning, and potential sales increase.

The study compares the effect of chosen aroma compounds for restaurants on the emotional feedback of millennials, and also the explicit evaluation of this effect on food choices. The explicit and implicit effect of scents on perception is examined and innovative approaches of scent evaluation and their implementation shown.

The world is not in peace everywhere, unfortunately. There is a huge population living in fear, whose ordinary lives are affected by terror. Literature suggests living in terror leads to different relationships with the place (e.g. Billig, 2006) and to psychological distress, which further leads to changes in attitudes and beliefs (Echebarria-Echabe & Fernández-Guede, 2006), as well as behaviors (e.g. Schiff, 2006; Schiff, Benbenishty, McKay, DeVoe, Liu, & Hasin, 2006). This study looks at regions in Pakistan where people live in constant terror of terrorism, political unrest, and threats of death, and aim to understand how people cope with the extreme situations, how their attachment to the place evolves and changes, and how people’s perceptions and ideologies on consumption shift.

Across several disciplines in the social and behavioral sciences, recent work on reciprocity in social exchange raises questions about exploitativeness, sustainability and environmental concerns (Weiss, 1987; Ursell, 2000; Smit, 2011; Lewis et al., 2015; Grinstein and Riefler, 2015) with calls to research to explore the importance of consumers’ prosocial activities in relation to concepts such as ethnocentrism (Ratner and Miller, 2001; Olivola and Shafir, 2013; Small and Cryder, 2016). Clearly, while the focus of ethnocentrism is on the consumer’s own group, the focus of many calls for prosocial activities is on the “other”. Hence, a question of interest arises from this: how do these competing forces coexist? In other words, since ethnocentrism is a complex multidimensional construct, how do the different dimensions of ethnocentrism relate to prosocial consumer behaviors? Furthermore, since prosocial behaviors are considered necessary, another question of interest is; how can consumers be urged to engage in prosocial behaviors?

The goal of this study was to develop a haptic communication system that can convey the tactile sensation of fashion materials in a virtual environment. In addition, the effectiveness and how realistically the virtual fabric image of this system delivers the tactile sensation of actual fabric was verified. First, a literature review was conducted through which the tactile attributes of fashion materials were defined that would be implemented in the haptic communication system. Then, a questionnaire for evaluating the tactile attributes of fashion materials was developed. Next, a haptic communication system was designed to convey fashion image experiences in a virtual environment, from which a haptic rendering model was suggested. The effectiveness of the haptic communication system was evaluated by verifying user experiences with questions developed through a user evaluation experiment. The validity of the evaluation questions pertaining to the tactile attributes and the effects of the haptic communication system were verified. Factor analysis was conducted to verify the evaluation of the tactile sense attributes of the fashion material, which identified density, thickness, and elasticity of the material as key factors. As a result of comparisons between the tactile sense through haptic characteristics and through touching, it was observed that regarding density and thickness, tactile sense experience led to greater perceived reality, while this was not the case for elasticity.

The aim of this study is to explore diverse characteristics of females aged 25 to 49 years grouped according to Body Mass Index(BMI), and to investigate the effect of body satisfaction and self-esteem on involvement in dieting within each BMI group. In total, 549 females who participated in an online survey were divided into groups based on BMI(underweight, normal, and overweight). Results demonstrated three key factors, as follows. First, differences were identified among BMI groups according to demographic characteristics(age, household income, and marital status), although no difference according to education level was found. Second, differences according to BMI groups were found in body satisfaction and involvement in dieting, whereas were not found in self-esteem. Third, model testing for each BMI group showed, a positive correlation between body satisfaction and self-esteem in all three groups. However, there was a difference in causal relationships among variable across BMI groups. Body satisfaction negatively affected and self-esteem positively affected involvement in dieting for the underweight and normal groups, whereas there was no causal relationship between variables in the overweight group. Based on these results, basic information of groups segmented by the level of BMI was obtained, which could be used for both academic and practical implications.

The various sintered samples comprising of 72 wt%(Al2O3) : 28 wt%(SiO2) based ceramics were fabricated using a colloidal processing route. The phase analysis of the ceramics was performed using an X-ray diffractometer (XRD) at room temperature confirming the presence of Al2O5Si and Al5.33Si0.67O9.33. The surface morphology of the fracture surface of the different sintered samples having different sizes of grain distribution. The resistive and capacitive properties of the three different sintered samples at frequency sweep (1 kHz to 1 MHz). The contribution of grain and the non-Debye relaxation process is seen for various sintered samples in the Nyquist plot. The ferroelectric loop of the various sintered sample shows a slim shape giving rise to low remnant polarization. The excitation performance of the sample at a constant electric signal has been examined utilizing a designed electrical circuit. The above result suggests that the prepared lead-free ceramic can act as a base for designing of dielectric capacitors or resonators.

There is a growing global interest in food choices that could affect health. Consumer food choices are dictated by numerous factors such as attitudes, beliefs, desires and preferences stemming from psychological and physiological attributes. The present study aimed to understand consumers’ internal perceptions about cream soup, cream sauce, and tomato sauce using ZMET (Zaltman’s Metaphor Elicitation Technique). The 9 step ZMET interview process was conducted for a sample of 36 consumers (12 consumers for each sauce). A content analysis of the survey results was carried out. From this, 56 concepts of cream soup were derived, and 15 constructs that met with the agreement of more than one-third of the total sample consumers were extracted. These 15 constructs included ‘Soft’, ‘Recollection’, ‘Familiar’, ‘Warm’, ‘Comfortable’, etc. Similarly, for cream sauce, 67 concepts and 20 constructs ‘Silky’, ‘Warm’, ‘Restaurant’, ‘Family’, ‘Memory’, etc. were deduced. A total of 66 concepts and 20 constructs for tomato sauce ‘Sourness’, ‘Sauce Bottle’, ‘Pleasant’, ‘Ingredient’, ‘Cooking’, etc. were derived. The analysis of consumers’ consensus maps through this study provides a deep and useful understanding of consumers and their latent needs. Also, the results of this study indicate that exploring consumers’ internal perceptions is critical to understanding their healthy food choices. This can be used as basic data for formulating marketing strategies.

본 연구는 시설 내 소형 수박 재배 시 관수개시점에 따른 토양수분 함량별 생육, 수량 및 생리적 반응 특성의 차이를 구명하고 소형 수박 생산에 유리한 관수조건을 구명하고자 수행하였다. 토양수분 센서를 이용하여 정식 후 14일부터 수확 7 ~ 10일 전까지 관수개시점별 5처리(-10, -20, -30, -40, 50 kPa)를 두어 관수하였다. 토양수분 함량이 가장 낮은 개시점-50 kPa 처리에서 전반적인 지상부 생육특성은 저조하였으나, 근장 및 뿌리 건물율은 증가하였다. 광합성률, 기공전도도 및 증산율 비교 시, 관수개시점-50 kPa 처리에서 가장 낮았고, -20 kPa ~ -40 kPa 처리 시 광합 성률은 높게 조사되었다. 착과율 및 총 상품수량은 -30 kPa 및 -40 kPa 처리에서 각각 84.7 ~ 85.5%, 5,144 ~ 5,305 kg/10a으로 유의하게 증가하였다. 식물체의 외부환경 관련 스트레스 지표 물질로 알려진 프롤린, ABA, 총 페놀 및 시트룰린의 함량은 토양수분 함량이 낮아질수록 증가하였으며, 특히 관수개시점-50 kPa 처리에서 가장 높게 조사 되었다. 따라서 이와 같은 결과를 종합해 볼 때, 시설 내 안정적인 소형 수박 생산을 위하여 관수개시점을 -30 kPa ~ -40 kPa 수준으로 조정하여 토양수분 함량을 조절하는 것이 수박 생육 향상 및 상품수량 증대에 가장 유리한 것으로 판단되었다.

이 연구는 번식방법과 재배시스템별 딸기 ‘설향’ 품종의 생산성을 조사하기 위하여 수행되었다. 삽목법과 유인법으로 번식된 이식묘를 토경과 수경재배 시스템에서 진주의 딸기 재배농가에서 2018년 9월12일부터 한 작기 동안 재배하였다. 과실 수확은 2018년 12월 20일에 시작하여 작기가 끝날 때까지 4-5일 간격으로 계속하였다. 전 수확기간 동안 생육, 과실 생산성 및 품질을 측정하였다. 번식방법이 크라운 직경, 엽장 및 엽폭에 유의미한 영향을 미쳤다. 재배시스템은 크라운 직경, 엽장, 엽폭, 엽록소 함량 및 엽수에 상당한 영향을 주었다. 전 수확기간 동안 포기 당 총 과실 수량과 과실 당 평균 과중은 토경재배 시스템에서 유의미하게 낮았다. 시장성이 없는 총 과일 비율은 수경재배 보다 토경재배 시스템에서 현저하게 더 높았다. 시장성이 없는 과일 토경에서는 주로 작은 과일인데 인데 반해 수경재배에서는 주로 기형 과일이었다. 전반적인 고품질 과실은 2월에 수확되었고, 수경재배 시스템에서 토경에 비해 과실의 품질이 더 높았다. 삽목번식이 유인번식 보다 더 좋았고, ‘설향’의 과실 생산성을 높이기 위해서는 수경재배가 토경재배 보다 더 우수하다는 결론을 얻었다.

PURPOSES : Despite the availability of larger traffic data and more advanced data collection methods, the problem of missing data is yet to be solved. Imputing missing data to ensure data quality and reliability of statistics has always been challenging. Missing data are imputed via several existing methods, such as autoregressive integrated moving average, exponential smoothing, and interpolation. However, these methods are complicated and results in significant errors. METHODS : A deep-learning method was applied in this study to impute traffic volume data of the South Korean national highway. Traffic data were trained using the long short-term memory method, which is a suitable deep-learning method for time series analysis. RESULTS : Three cases were proposed to estimate the traffic volume. In the first case, which represented the general conditions, the mean absolute percentage error (MAPE) was 12.7%. The second estimation case, which was based on the opposite traffic flow, exhibited a MAPE of 17%~18%. The third case, which was estimated using adjacent-section data, had a MAPE of 18.2%. CONCLUSIONS : Deep learning may be a suitable alternative data imputation method based on the limited site and data. However, its application depends on the specific situation. Furthermore, deep-learning models can be improved using an ensemble method, batch-size, or through model-structure optimization.

In this paper, graphene-coated Al powders prepared by in situ reduction method were directly used for cold spraying, obtaining a graphene-reinforced Al matrix composite coating with more compact structure and better performance. Cross-sectional analysis revealed that compared with the pure Al powders, the graphene-coated Al powders were more severely deformed, and the resulting coating was denser and its porosity was reduced by over 80%. The hardness of the graphene-coated Al coating was increased by 40%, and its brine immersion time was prolonged by nearly three times. However, the graphene increases the pitting sensitivity of the Al coating; so, the enhanced corrosion resistance of the graphene-coated Al coating is mainly attributed to the improvement of its structure densification.

Although flame synthesis promises economic benefit and rapid synthesis of carbon nanotube (CNT), the lack of control and understanding of the effects of flame parameters (e.g., temperature and precursor composition) impose some challenges in modelling and identifying CNT growth region for obtaining better throughput. The present study presents an investigation on the types of carbon precursor that affect CNT growth region on nickel catalyst particles in an ethylene inverse diffusion flame. An established CNT growth rate model that describes physical growth of CNT is utilised to predict CNT length and growth region using empirical inputs of flame temperature and species composition from the literature. Two variations of the model are employed to determine the dominant precursor for CNT growth which are the constant adsorption activation energy (CAAE) model and the varying adsorption activation energy (VAAE) model. The carbon precursors investigated include ethylene, acetylene, and carbon monoxide as base precursors and all possible combinations of the base precursors. In the CAAE model, the activation energy for adsorption of carbon precursor species on catalyst surface E a,1 is held constant whereas in the VAAE model, E a,1 is varied based on the investigated precursor. The sensitivity of the growth rate model is demonstrated by comparing the shifting of predicted growth regions between the CAAE model and the VAAE model where the CAAE model serves as a control case. Midpoint-based and threshold-based techniques are employed within each model to quantify the predicted CNT growth region. Growth region prediction based on the midpoint-VAAE approach demonstrates the importance of acetylene and carbon monoxide to some extent towards CNT growth. Ultimately, the threshold-VAAE model shows that the dominant precursor for CNT growth is the mixture of acetylene and carbon monoxide. A simplified reaction mechanism is proposed to describe the surface chemistry for precursor reactions with nickel catalyst where decomposition of the ethylene fuel source into acetylene and carbon monoxide is accounted for by chemisorption.