Consumers' online reviews have become more powerful in the Internet market. Consumers share reviews, post comments and constantly evaluate products online. In previous studies, the analysis of online reviews mainly focused on purchasing products based on consumers' own use experience, but in innovative products, it was difficult to find an analysis of product acceptor's response to product user reviews. In particular, there is no online review study of VR covered in this study. This study not only quantitatively analyzed online reviews of consumers who purchased VR products on Amazon, an online distribution site, but also qualitatively analyzed them through crawling. This study used Amazon's VR product user review, where purchases were confirmed, to select algorithms that are more likely to be matched by predicting a helpful review and presenting a predictive model. In addition, the online review extracted deep text associated with Helpful and conducted topical modeling. As a result, topics related to 1) experience in use, 2) post-product evaluation, 3) product composition and peripherals, 4) immersion, and 5) comfort were highly acceptable to potential inmates. To enhance the acceptability of innovative products through online reviews, it is not just highlighting the product advantages of VR, but also suggests that the link between smartphones and applications can bring in more potential users. Also, interworking with other peripheral devices (speakers or screens) can be predicted as a way to increase the acceptability of VR products. From a marketing perspective, this study has found targeted topics that help consumers in pioneering the VR market, which will help potential customers create the services they want.

This study analyzed the presence and effect of sexual appeal of plus-size models using Victoria's Secret's Instagram content. A content analysis using roBERTa deep-learning model found that, plus-size models’ sexual appeals increased number of likes and comments, but explicit sexual appeals resulted in less positive sentiments than thin models’.

Drawing from the uses and gratification theory (UGT), the study intends to investigate audiences’ motivation to watch Livestream and its influence on subscription and donation. The roles of viewers’ parasocial relationships and identification with live streamers were also examined. The results also indicate the presence of a mediation effect.

Online communities are identified as people gathering online and communicating through the internet to share ideas, objectives, goals, without any geographical boundary. The growth of user-generated content created in online communities has transformed the way consumers search for and share information, particularly in the hospitality industry. Particularly, in the restaurant and food sectors due to the intangible nature of hospitality services, online reviews play an important role on consumer decisions. Furthermore, online reviews on restaurants are not only informational but also, they impact consumers’ choices regarding restaurants. Consequently, the nature of such user-generated content that is produced at a high speed and is diverse and rich should be treated and understood. This study proposes the first tailored BERTopic model together with sentiment analysis based on pre-trained BERT model that takes advantage of its novel sentence embedding for creating interpretable topics into the analysis of restaurant online reviews to determine how the customers elaborate their criteria in the context of certain experiences. An exploratory analysis is presented involving a large-scale review data set of 261,531 restaurant online reviews from 4 different countries retrieved from the eWOM community thefork.com. A broad list of the topics discussed by customers post-dining in restaurants is built. Insights into the behavior, experience, and satisfaction of the customers across the different restaurants are discovered. This approach and findings are encouraging hospitality managers in understanding customers’ perception, through which applicable marketing can be developed to attract and retain potential customers.

Augmented reality (AR) is a technology that overlays user surroundings with computer-generated images (Baek et al., 2016). It provides users with an enhanced view of their environment with digital content such as text, pictures, videos, three-dimensional (3D) objects, and even tactile and olfactory experiences (Du et al., 2022). This technology has significant potential for use in advertising, enabling realistic product visualisations and virtual product try-ons via social media (Baek et al., 2016).

The hospitality industry is widely using customer data to develop successful personalized marketing communication. However, in the event of information leakage, personalized advertising may escalate customers’ privacy distress. Building on Conservation of Resources theory, this study proposes three dimensions for privacy threats that impact the relationship between personalized hospitality advertising and consumer responses. Findings from six experiments across high and low involvement hospitality products demonstrate diverging effects of personalized advertising depending on the type of privacy threat communicated. Results further indicate that customers’ psychological comfort mediates the relationship between high-personalized advertising and the customer response to the advertising when privacy threat is high. Additionally, when the perceived severity and distance of the announced privacy threat are high and low respectively, rational appeals generate higher levels of psychological comfort, while the same happens for emotional appeals when the perceived scope of the threat is high. The study concludes with value-adding theoretical and managerial implications for the hospitality industry.

We propose a sales prediction model based on the number of new members, online advertising, and consumer reviews for a short period. Considering purchase behaviors of new and existing members, we predict reliable sales amounts, which can be monthly updated. Our study provides digital marketers with a feasible prediction approach.

Volatile organic compounds (VOCs) are a paramount factor in air pollution of the environment. VOCs are vastly present in the wastewater discharged by the pharmaceutical industries. As it is evaporative in nature, it enters the environment spontaneously and causes air pollution, global warming, acid rain and climate change. VOCs must be treated before discharging or any other aerobic methods using an efficient catalyst. As the catalytic oxidation in the liquid phase is facile compared to the gas phase, this study investigated on catalytic liquid-phase oxidation of VOCs in model and real pharmaceutical wastewater. The model compounds of toluene-, ethylbenzene- and chlorobenzene-contaminated waters were treated separately along with the VOCs present in real pharmaceutical wastewater using a tungsten-based carbon catalyst. The tungsten was impregnated on the low-cost activated carbon matrix as it has good selectivity and catalytic property toward VOCs for facile catalytic operations. The metal catalysts were characterised by Fourier transform infrared spectroscopy, X-ray diffraction studies, and scanning electron microscopy with elemental and mapping analysis. The treatability was monitored by total organic carbon, ultra-violet spectroscopy and high-pressure liquid chromatography analysis. The tungsten-impregnated activated carbon matrix (WACM) has a catalytic efficiency toward toluene by 85.45 ± 1.78%, ethylbenzene by 93.9 ± 1.16%, chlorobenzene by 85.9 ± 2.26% and pharmaceutical VOCs by 85.05 ± 1.73% in 20 treatment cycles. The results showed that WACM worked efficiently in VOCs treatment, preventing the environment from air pollution. Furthermore, liquid-phase oxidation could easily be implementable on an industrial scale.

In the design of HLW repositories, it is important to confirm the performance and safety of buffer materials at high temperatures. Most existing models for predicting hydraulic conductivity of bentonite buffer materials have been derived using the results of tests conducted below 100°C. However, they cannot be applied to temperatures above 100°C. This study suggests a prediction model for the hydraulic conductivity of bentonite buffer materials, valid at temperatures between 100°C and 125°C, based on different test results and values reported in literature. Among several factors, dry density and temperature were the most relevant to hydraulic conductivity and were used as important independent variables for the prediction model. The effect of temperature, which positively correlates with hydraulic conductivity, was greater than that of dry density, which negatively correlates with hydraulic conductivity. Finally, to enhance the prediction accuracy, a new parameter reflecting the effect of dry density and temperature was proposed and included in the final prediction model. Compared to the existing model, the predicted result of the final suggested model was closer to the measured values.

With about 80% of the global economy expected to shift to the global market by 2030, exports of reverse direct purchase products, in which foreign consumers purchase products from online shopping malls in Korea, are growing 55% annually. As of 2021, sales of reverse direct purchases in South Korea increased 50.6% from the previous year, surpassing 40 million. In order for domestic SMEs(Small and medium sized enterprises) to enter overseas markets, it is important to come up with export strategies based on various market analysis information, but for domestic small and medium-sized sellers, entry barriers are high, such as lack of information on overseas markets and difficulty in selecting local preferred products and determining competitive sales prices. This study develops an AI-based product recommendation and sales price estimation model to collect and analyze global shopping malls and product trends to provide marketing information that presents promising and appropriate product sales prices to small and medium-sized sellers who have difficulty collecting global market information. The product recommendation model is based on the LTR (Learning To Rank) methodology. As a result of comparing performance with nDCG, the Pair-wise-based XGBoost-LambdaMART Model was measured to be excellent. The sales price estimation model uses a regression algorithm. According to the R-Squared value, the Light Gradient Boosting Machine performs best in this model.

This study is to identify the maintenance service quality of eco-friendly cars, which are rapidly increasing recently. Research is conducted by synthesizing research from the perspectives of internal employees and external customers by using the service profit chain model. Specifically, it is to study the overall structural relationship between internal customer satisfaction, physical quality, interaction quality, outcome quality, external customer satisfaction and long-term orientation. For the study, 202 questionnaires were collected from internal employees and 204 questionnaires from external customers. The results of testing the research hypotheses targeting the internal employee group are as follows. As a result of testing hypothesis 1, internal customer satisfaction has a significant positive (+) effect on physical quality and interaction quality. As a result of testing hypothesis 2, the service quality of eco-friendly car maintenance has a significant positive (+) effect on each other. As a result of testing hypothesis 3, physical quality and outcome quality have a significant positive (+) effect on external customer satisfaction. The results of testing the research hypotheses targeting an external customer group are as follows. As a result of testing hypothesis 2, in the relationship between eco-friendly car maintenance service quality, physical quality has a significant positive (+) effect on interaction quality, and interaction quality has a significant positive (+) effect on outcome quality. As a result of testing hypothesis 3, interaction quality and outcome quality have a significant positive (+) effect on external customer satisfaction. As a result of testing Hypothesis 4, external customer satisfaction has a significant positive (+) effect only on intention to reuse. Finally, as a result of examining the difference in perception between the internal employee group and the external customer group in eco-friendly car maintenance service quality and external customer satisfaction, it was verified that there was a significant difference only in outcome quality and external customer satisfaction.

본 연구는 한국노동패널 자료를 사용하여 선천적 직업적성이 직업만족도에 미치는 영향을 실증분석하였다. 분석을 위해서는 선천적 직업적성을 파악하는 것이 관건인데, 서양의 적성검사 기법은 한계가 있어서 동양사회에서 오랫동 안 실생활에 활용하고 있는 사주분석 기법을 적용하여 선천적 직업적성을 도 출하였다. 실증분석 결과, 첫째, 선천적 직업적성과 실제로 종사하고 있는 직업 유형이 일치한 사람의 직업만족도는 그렇지 않은 사람의 직업만족도보다 높았 다. 둘째, 선천적 직업적성과 종사하고 있는 직업유형과 일치한 사람은 그렇지 않은 사람보다 더 오랫동안 근무하며, 근속기간이 길수록 직업만족도는 높았 다. 셋째, 선천적 직업적성이 직장형이면 임금근로자가 될 가능성이 높았고, 선 천적 직업적성이 사업형이면 비임금근로자가 될 가능성이 높았다. 넷째, 경쟁심리가 강한 사람의 직업만족도는 경쟁 심리가 강하지 않은 사람의 직업만족 도보다 낮았다. 이러한 실증분석 결과는 선천적 직업적성이 직업만족도에 지 대한 영향을 미치고 있음을 입증한다. 직무만족은 삶의 만족과 긍정적인 관계 에 있다. 직무만족이 높을수록 삶의 만족 또한 높아지기 때문에 개인의 삶의 만족을 높이기 위해서는 자신의 선천적 직업적성을 정확히 이해하고, 선천적 직업적성에 맞는 직업유형을 선택하는 것이 무엇보다 중요하다.

본 연구는 민간기업과는 다른 특성을 보이는 공공기관 HRD의 평가지표 도출이 필요하다는 문제의식에 서 출발하였으며, 공공기관 HRD 체계의 타당한 평가 준거 개발을 목적으로 한다. 이를 위해 CIPP 모형을 활용하여 공공부문 HRD체계와 과정 준거를 개발했던 연구사례를 분석하고, 국내 공공기관 인적자원개발 실무자 6인 대상의 심층 인터뷰를 실시하여 15개 평가영역, 41개 평가항목, 56개 평가지표로 구성된 평가 준거 초안을 도출하였다. 평가준거 초안에 대한 타당성을 확보하고자 학계, 실무, 컨설팅 전문가 12인을 대상으로 2차의 델파이 조사를 거쳐 평가 준거를 확정하였다. 최종적인 평가 준거는 요구분석, 기관장 리더 십, HRD 인력 전문성, 경영성과 등 15개 영역, 37개 항목, 45개 지표로 도출되었다. 본 연구는 공공기관의 양면적 성격을 반영한 공공기관 HRD 체계의 평가 준거를 제시했다는 데 의의가 있다. 본 연구는 다양한 공공기관의 사업 특성을 감안한 평가 준거 보완이 필요하다는 점을 제언하였다.

Ischemic stroke causes brain damage and neuronal cell death by depriving oxygen and nutrients and releasing excessive levels of glutamate and intracellular calcium. Epigallocatechin gallate (EGCG) is a polyphenolic compound present in green tea. It has antioxidant, anti-inflammatory, and neuroprotective effects. Hippocalcin is a calcium binding protein that regulates calcium concentration, neuronal differentiation, neuronal excitability, and neuronal cell death. In this study, we investigated whether EGCG regulates the expression of hippocalcin in neurons and astrocytes after focal cerebral ischemia. Cerebral ischemia was induced by meddle cerebral artery occlusion (MCAO). EGCG (50 mg/kg) or PBS was injected into the abdominal cavity just before MCAO surgery. Neurobehavioral tests were performed to evaluate the effect of EGCG on neurological behavioral deficits 24 h after MCAO surgery. Immunofluorescence staining was performed to evaluate the positive response to hippocalcin in the cerebral cortex after MCAO surgery. We also detected the positive reactions of neuronal nuclear protein (NeuN) and glial fibrillary acidic protein (GFAP) as markers of neuron and astrocyte, respectively. MCAO caused severe neurological impairment and EGCG treatment attenuated these impairments. MCAO damage reduced the number of NeuN-positive cells and increased the number of GFAP-positive cells. This result indicates a decrease in neurons and an increase in astrocytes. However, EGCG alleviated these changes caused by MCAO damage. MCAO reduced the number of hippocalcin-positive cells in neurons and astrocytes, and EGCG treatment attenuated these reductions. Hippocalcin exerts neuroprotective effect through regulating intracellular calcium concentration. In conclusion, EGCG regulates the expression of hippocalcin in neurons and astrocytes and has neuroprotective effects in focal cerebral ischemia.

본 연구는 제15차(2019) 청소년건강행태조사의 원시자료를 활용하여 생물-심리-사회 모델을 바탕으로 우리나라 청소년의 편의식품 섭취 경험의 영향요인을 파악하고자 하였다. 연구 결과 생물학적 요 인으로 성별, 학년, 아토피 피부염이 주요 요인으로 분석되었으며, 심리학적 요인으로는 스트레스 인지 수 준, 우울감 경험, 자살 생각 여부, 주관적 수면충족, 주관적 건강상태, 신체활동, 현재 흡연과 음주 경험이 영향요인으로 확인되었다. 또한 사회학적 요인으로는 영양 및 식이 교육, 아침식사 여부, 학업 성적, 주관 적 경제상태, 동거가족 여부가 청소년의 편의식품 섭취 경험에 영향을 미치는 것으로 나타났다. 이러한 결 과를 바탕으로 청소년의 건강한 식습관 관리를 위해서는 실효성 있는 영양 및 식이교육 프로그램 제공과 정서적 지지가 필요하며, 가족 구성원을 교육 대상에 포함시키는 등 다각적이고 체계적인 대책마련이 필요 하다.

우리나라 열병합 발전소에서 운영되고 있는 최신 증기터빈의 출력과 효율 향상을 위한 첫 번째 기술적인 진보는 고온, 고압의 증기를 사용할 수 있는 소재 개발의 진척이라고 할 수 있다. 소재의 발전과 더불어 증기터빈의 내부효율 향상을 위한 설계적 노력의 결실 로 높은 효율의 증기터빈이 제작되었다. 오랜 기간 운전 중인 증기터빈의 내부효율은 기계적 수명의 한계로 점차 손실이 발생하고 효율 과 출력이 떨어지게 된다. 이러한 이유로 본 연구에서는 상용프로그램을 이용하여 열병합 발전소용 고압(HP)-중압(IP) 증기터빈의 증기유 로 성능해석을 수행할 수 있는 모델을 개발하고 성능계산 방법을 제시하고자 한다. 증기터빈의 복잡한 성능계산방식으로 인해 증기터빈 실무자들에게 실질적으로 유용한 참고문헌이 될 수 있도록 주요 변수들을 제시하였다. 또한 증기터빈 성능계산에 필요한 열정산도 분석 과 증기터빈 성능계산 결과의 적합성을 성능시험 결과와 비교 확인하였다.

The cutting process, which is a key processing technology in various industrial fields is achieving continuous growth, and the demand for high-quality cutting surfaces is continuously demanded. Plasma cutting continues to be studied for its excellent workability and productivity, but problems with cutting surface quality such as dross formation occur, so research to secure excellent cutting surface quality through appropriate control of process variables is essential. In this study, we propose a method for predicting surface roughness using real-time current and cutting speed data obtained while performing plasma cutting on A106 B steel pipe. Surface roughness was predicted based on the RBF algorithm applicable to prediction and control models. It was shown that the surface roughness of the plasma cutting surface can be predicted with the arc current waveform and process speed data. This study can be used as a basic study to control the surface roughness of the cut surface in real time.

본 논문에서는 인장 좌굴 현상을 소개하고 이를 이용한 음의 포아송 효과를 가지는 구조물에 대한 분석을 다룬다. 일반적으로 널리 알려진 좌굴은 압축하중 하에서의 안정성 문제임에 반하여, 인장 좌굴은 인장에 의해 국소적으로 압축력이 생겨 발생하는 좌굴이다. 고전적인 좌굴에 비하여 비교적 최근의 연구이기 때문에 상대적으로 잘 알려지지 않았다. 이에 인장 좌굴 현상을 에너지 관점에서 고 찰하고, 해석을 위하여 비틀림 스프링을 가지는 비선형 트러스 유한요소의 정식화를 수행하였다. 비선형해석을 통해 후좌굴 거동을 분석하고 비틀림 스프링이 주요 인자임을 확인하였다. 이러한 후좌굴 거동은 음의 포아송 비를 가지는 구조물에 적용할 수 있으며, 기 계적 스위치 등의 장치에 적용할 가능성을 보였다. 얻어진 결과들의 정확성 확인을 위하여 해석해와 상용 유한요소해석 결과들과 비 교하여, 개발된 유한요소 모델이 기초 설계에 유용함을 보였다.

The objective of this study was to determine the efficacy of a natural product of cherry tree (Prunus serrulata var. spontanea: PS) as a test substance for improving cytokine and ovalbumin-specific IgE using an ovalbumin-induced asthma disease model of 5-week-old male BALB/c mice. Lung tissue pathology was analyzed to confirm anti-inflammatory and asthmatic effects. As a result of examining the effect on changes in inflammatory cells in bronchoalveolar lavage fluid in an ovalbumin-induced asthma disease model by administering the PS sample, total cells, eosinophil, neutrophil, lymphocyte, and monocytes were significantly decreased. Concentrations of cytokine-based TNF-alpha and IL-4 and immunoglobulin E in serum were significantly increased in the asthma-inducing negative control group than in the normal group. However, high concentrations of PS decreased them. In histopathological examination of the lung tissue, it was confirmed that inflammatory cells infiltrated around the alveoli and bronchioles were increased in ovalbumin-induced asthma disease model. After administration of cherry tree extract, bronchiolar morphological changes such as mucosal thickening were slightly improved. From the above results, it was confirmed that extract of cherry tree significantly reduced inflammation expression and tissue damage in alveolar tissues. It was also confirmed that the cherry tree extract had an excellent efficacy in improving asthma inflammation.

This study examines the demand system of shrimp imported from top four countries and domestically produced by using AIDS (Almost Ideal Demand System) model. Top four import countries are Vietnam, Ecuador, China, and Malaysia based on the value of imports in 2021. As results of the analysis, the demand system of shrimp turn out to be below. First, the relationship of domestic shrimp and imported shrimp (Ecuadorian and Vietnamese) is identified as complements or substitutes depending on whether the income effect is considered. This result implies that imported shrimp supplements domestic supply against excess demand while homogeneous shrimp products competes with domestic shrimp in fish market. Second, the relationship among imported shrimps turned out to be both substitutes and complements. Especially, the Vietnamese shrimp is complementary with Chinese and Malaysian shrimp, but substitutes of Ecuadorian. It is assumed that adjoining Asian countries shares similar shrimp species and processing system which differentiates from Ecuadorian. Finally, the study included quarter as dummy variable and GDP as instrumental variable of expenditure in the model. The result confirmed that domestic shrimp is highly on demand during the main production season while imported shrimp is mainly demanded during the rest of the season.