Extensive research and testing continue to be conducted for the development of vaccines targeting zoonotic diseases such as brucellosis. In this study, the potential of the DapB as a recombinant protein vaccine to effectively combat Brucella abortus 544 infection in BALB/c mice was evaluated. Western blotting assay results showed that recombinant protein DapB reacted with Brucella-positive serum, indicating its potential immunoreactivity. In vivo results showed that the peripheral blood CD4+ and CD8+ T cell population significantly increased in the DapB-immunized mice group after the first, second and third blood collection, compared to the control group that received PBS. Additionally, at the fourth blood collection, an increase in CD4+ T cell activation was observed in three vaccination groups compared to PBS negative control group. These results indicate the potential of DapB in stimulating cellular immunity. Fourteen days after infection, the bacterial load in the spleen was evaluated. The reduction in bacterial replication in the spleen by both DapB and RB51 highlights their protective efficacy against Brucella infection. These findings contribute to the ongoing efforts in developing effective vaccines against brucellosis and provide valuable insights for further research in this field.

In the realm of dental prosthesis fabrication, obtaining accurate impressions has historically been a challenging and inefficient process, often hindered by hygiene concerns and patient discomfort. Addressing these limitations, Company D recently introduced a cutting-edge solution by harnessing the potential of intraoral scan images to create 3D dental models. However, the complexity of these scan images, encompassing not only teeth and gums but also the palate, tongue, and other structures, posed a new set of challenges. In response, we propose a sophisticated real-time image segmentation algorithm that selectively extracts pertinent data, specifically focusing on teeth and gums, from oral scan images obtained through Company D's oral scanner for 3D model generation. A key challenge we tackled was the detection of the intricate molar regions, common in dental imaging, which we effectively addressed through intelligent data augmentation for enhanced training. By placing significant emphasis on both accuracy and speed, critical factors for real-time intraoral scanning, our proposed algorithm demonstrated exceptional performance, boasting an impressive accuracy rate of 0.91 and an unrivaled FPS of 92.4. Compared to existing algorithms, our solution exhibited superior outcomes when integrated into Company D's oral scanner. This algorithm is scheduled for deployment and commercialization within Company D's intraoral scanner.

The RCEP is the largest FTA in the world. It was negotiated at a moment in history when criticism concerning globalization, multilateralism, and FTAs as effective tools for growth and well-being abounded. Those concerns have been aggravated by COVID-19 and the war in Ukraine, which affected not only world health but also increased protectionist temptations and disruptions in GVCs. This paper aims to analyze the likely contribution of this mega-deal, its economic and political variables, including the leadership that China will exert, and the objectives pursued during the negotiation. The agreement is contrasted with other major FTA, namely the CPTPP, the FTAAP and the Pacific Alliance, mainly in relation to integration efforts. It is concluded that the RCEP will indeed increase intraregional trade, although its full impact will take years to be felt. To maximize its impact, the RCEP needs to incorporate key current issues and new members to the pact.

PURPOSES : The numeric-based Highway Pavement Management System (HPMS), along with an advanced three-dimensional pavement condition monitoring profiler vehicle (3DPM), in South Korea has presented remarkable advancements in pavement management since the early 2000. Based on these results, visual distress on pavement surfaces can be easily detected and analyzed. Additionally, the entire expressway pavement surface conditions in South Korea can be easily monitored using the current graphical user interface-based advanced information graphic (AIG) approach. Therefore, a critically negative pavement section can be detected and managed more easily and efficiently. However, the actual mechanical performance of the selected pavement layer still needs to be investigated in a more thorough manner not only to provide more accurate pavement performance results but also to verify the feasibility of the current 3DPM and AIG approaches. In this study, the low-temperature performance of the selected asphalt pavement layer section was evaluated to further verify and strengthen the feasibility of the current 3DPM and AIG approaches developed by the Korea Expressway Corporation. METHODS : Based on 3DPM and AIG approach, the positive and negative-riding-quality road sections were selected, respectively. The asphalt material cores were extracted from each section then bending beam rheometer mixture creep test was performed to measure their low-temperature properties. Based on the experimental results, thermal stress results were computed and visually compared. RESULTS : As expected, the asphalt material from the negative driving performance section presented a poorer low-temperature cracking resistance than that from the positive driving performance section. CONCLUSIONS : Current 3DPM equipment can successfully evaluate expressway surface conditions and the corresponding material performance quality. However, more extensive experimental studies are recommended to verify and strengthen the findings of this study

Food waste is a major sustainable development problem in the world, and the promotion of ugly food may help address this issue. According to cue utilization theory and the VAB model, the primary purpose of this research is to investigate the role of green packaging in ugly food with multiple internal and external cues. A conceptual model with eight hypotheses are proposed. Conclusion, contributions of study and research limitations are finally shown.

Luxury brands are increasingly embracing intrinsic values in their advertising campaigns. This paper reports an exploratory study examining the adoption of value-laden advertising focusing on intrinsic values. Through a content analysis of ads from 9 top luxury fashion brands, the depiction of intrinsic values was examined. Research results are discussed and academic and managerial implications are presented.

Technological breakthroughs, combined with the demographic challenges of an aging population and the aftermath of the COVID-19 pandemic, spur new business opportunities in the service robot industry. From a management perspective, these technologies are positively evaluated in terms of increasing productivity, new business opportunities, and financial benefits (Belanche et al., 2020). However, although automation and robotics have already gained attention in the tourism and hospitality industry, research on their use in restaurants and the customer's attitude toward these new service solutions is still limited (Berezina et al., 2019; Ivanov et al., 2019; Kuo et al., 2017).

Food waste is a major sustainable development problem in the world, and the promotion of ugly food may help address this issue. According to cue utilization theory and the VAB model, the primary purpose of this research is to investigate the role of green packaging in ugly food with multiple internal and external cues. A conceptual model with eight hypotheses are proposed. Conclusion, contributions of study and research limitations are finally shown.

Compulsive buying is a problematic behavior that could lead to negative outcomes (e.g., debts and negative relationships with relatives). Due to the COVID-19 pandemic, people changed their shopping behavior and experienced various life events. This research aims at exploring the relationship between life events and compulsive buying in Indonesia. A qualitative approach using in-depth interviews was employed. Nineteen participants who faced changing course of life, either positive (e.g., give birth) or negative (e.g., sudden death of family), during the pandemic were interviewed. We found that positive life events cause people to feel over-excited and over-grateful and shop compulsively. Negative life events that result in self-doubt and lower self-esteem also lead to a compulsive behavior. The study contributes to the compulsive behavior literature by exploring the antecedent of compulsive buying from the live events perspective and provide implications for policy makers and marketers.

In this research, given the recent spurt of luxury brands featuring their products in the metaverse, we examine if the use of luxury brand items to enhance one’s virtual avatar augments the gamer’s sense of confidence, empowerment, and actual performance. We conduct two studies to test the same. In our first study, we simulated a gaming environment on an online survey portal and asked participants to choose their avatar features. We provided them with a branded item (luxury/regular). Consequently, we asked them to indicate their level of confidence, and empowerment. They were asked to play a game to record their actual performance. In our second study, we asked participants to choose their avatar on an online game on their mobiles and similarly provided them with a branded item (luxury/regular). We then measured their confidence, and empowerment and observed their actual performance.

This paper investigates how the use of artificial intelligence (AI) in services may potentially have a negative impact on consumer wellbeing due to the fear of being replaced by AI. Drawing on temporal self-appraisal theory, the study proposes that the fear of being replaced by an AI agent (as opposed to a human) has a negative effect on consumers' psychological wellbeing. The research suggests that this fear negatively affects consumers' perceptions of self-continuity, and that self-continuity perceptions mediate the relationship between fear of AI replacement and psychological wellbeing. Furthermore, the study explores how the type of task intelligence replaced by AI, whether thinking or feeling tasks, moderates the effects of AI on self-continuity and wellbeing.

Mental distress has been consistently reported to be highly prevalent after collective traumas, alongside physical and personal damages. When left untreated, these will worsen survivors’ ability to function. Research also points to unmet needs, related to job security and a sense of belonging. Our study aims to identify a clustered-dimensional approach to people’s experiences after a massive urban violence apart from traditional categorical psychopathological assessments. This cross-sectional internet-based study included 1305 Lebanese adults, 4 months after the apocalyptic Beirut Port explosion. Emotions, attitudes and needs were assessed using iCode software, measuring explicit answers and implicit reaction time. First and foremost, explicit responses revealed alarming levels of distress (75-80%). Latent class analysis further differentiated three groups on seven different dimensions derived from principal component analysis. People who experienced the most intense emotional distress and intrusive thoughts had higher country dissatisfaction and job worries. Faith and community resilience buffered the negative emotionality of those affected in spite of avoidance and intrusion. The last group was less distressed by the trauma with a marked sense of community and an overall reduced country and job dissatisfactions. These findings suggest that integrating implicit responses helps cluster people’s experiences after a collective trauma above and beyond single demographic criteria as vulnerability to mass violence is quite variable within seemingly homogenous samples. They also provide insight onto hard-wired attitudes and needs post-trauma. It mostly taps into multi-factorial individual vulnerabilities and protective factors to better refine targeted interventions for at-risk subpopulation outreach and foster resilience in unstable environments.

There has been almost 26 years since science of marketing has developed in Mongolia and there has been significant progress in acquiring and using its findings. Business companies’ leadership have become aware of the importance of this science and see marketing as business philosophy and understand that analyzing the market, business environment and conditions by consumers is the key to success. Today’s society demands from marketing professionals’ delicacy and taking into account consumers’ needs and creating new needs and new means of consumption. Main purpose of business entities is to be aware of consumer needs, to establish its position on the market and to be successful. In order to provide consumers with the best products and keep them at the center of their attention it is important to establish optimal ratio of marketing factors that would most efficiently influence consumers with different behaviors.

Anthropomorphism is a prevalent marketing practice that fosters consumer perceptions of a brand as humanlike. In today’s hyperconnected marketplace, firms are increasingly imbuing their brands with human features with the hope that the favorable perceptions of humanlike attributes in nonhuman objects could lead to consumers’ positive evaluation of humanized products. For example, Amazon has imbued Echo, a voice-activated Bluetooth speaker, with the human name Alexa, a female voiced virtual assistant that employs familiar human speech pattern, and some advanced personality traits. Similarly, Hormel Foods has used Mr. Peanut, the advertising logo and mascot of Planters that embodies the brands’ selling points. Mr. Peanut is depicted as a humanized peanut with arms, legs, top hat, and monocle and became a vessel of brand meaning and personality, taking on the product quality that the brand aims to communicate. Prior studies that use brand anthropomorphism as a foundation have investigated the impact of brand anthropomorphism on various outcomes such as product evaluations, emotional responses, and intentions to replace a product. However, what is missing from prior work is an understanding of the impact of brand anthropomorphism on the purchase intentions for clearance products which are sold under a retailer’s promotional strategy as an inventory management tool. The lure of cheapened goods may expand the range of consumers who can afford to buy merchandise from the company or may provide existing customers with an appealing purchasing option. In light of this, clearance sales are known to be effective not only for increasing store traffic by alluring price-conscious consumers but also for reducing excess inventory in a retail location or a chain of product fulfillment. The strategic importance of clearance sales has increased since the breakdown of COVID-19 which forced retailers to close their stores and caused demand for many product categories to plunge in early 2020. After the initial shock of the pandemic, consumer spending recovered fairly quickly, giving rise to record levels later in the same year. This surprising recovery continued into the next year as consumer sentiment and spending levels surged together, resulting in consumer demand that surpassed retailers’ stock levels. However, due to inflation and amounting fears of recession, consumer spending started to slow down again in 2022, resulting in the opposite of what happened in the previous year. Such a reversal caused many retailers to face high inventory levels and declining profitability, forcing them to cut prices to move excess inventory out of stores, which increases the importance of conducting clearance sales effectively. Clearance sales are prevalent in retail markets, where considerable discounts are typically offered for leftover items (Zhang & Cooper, 2008). Retailers widely use clearance sales to liquidate their unsold products at the end of a selling season (Nocke & Peitz, 2007). They have strong incentives to get rid of the remaining items in order to make room for the new products (Sällström, 2001). Previous research suggests that anthropomorphism leads consumers to apply human schema to a product, which in turn affects their attitude toward the product (Aggarwal & McGill, 2007, 2012). In this research, we aim to identify the negative effect of anthropomorphism on consumers’ attitude toward clearance products.

Online shopping has grown exponentially in the last decade, benefiting both consumers and companies. Among several advantages, online shopping lets consumers compare values and prices from different stores on multiple mobile devices in real time. In addition, for young people, it is a way of expressing their identity and independence.

The capability for Artificial Intelligence in the beauty industry is enormous, as customers are demanding increasingly customized offers that only these strategies can offer. However, there is still a scarcity of empirical research on customer experiences enabled by AI, which highlights this research's relevance, which we intend to bridge.

The use of AI chatbots in frontline customer service is beneficial as it can provide quick service responses, cost-saving on human employees and accelerate customers’ decision-making process. However, implementing chatbots can be a double-edged sword. On the one hand, companies benefit from the use of chatbots. On the other hand, it may hurt customer experience as customers perceive chatbots are less trustworthy and show less social presence. Service failures today have become more unpredictable with the increasing complexity of social environments. Aligning with the trends of online customer service, customers are most likely to encounter a chatbot when seeking online customer service to solve service failures. With most of the previous literature investigating customers’ perceptions of chatbots and chatbot-related service failures, little research has focused on the area where chatbots as service recovery agents and how customers perceive the use of chatbots handling their service requests after service failures.

A new high-tech product - lab grown meat (LGM), has been gaining media attention while initiating public discourse on social media (SM) platforms. This netnographic study is based on a dataset of selected SM public posts, comments and discussions collected during 30 days in early 2023. The findings indicate that LGM is highly contradictory, while not being fully understood how it is produced or when it will become commercially available. The findings indicate that this novel food requires carefully designed marketing strategies: when naming a new product category; must allow transparency and sensibly explain all product’s attributes; and invest time and efforts to educate consumers, leading to higher adoption rates when launched on mass consumer markets, as an alternative to conventionally grown foods.

A new type of food created in laboratories – lab grown meat (LGM) is an alternative to traditional animal farming and attracting attention of media, industry experts and consumers. Why is this new product so controversial? It is claimed that cell-based meat production is more environmentally friendly, ethical and sustainable than traditional methods that involve animals. Hence, being less harmful and potentially slowing down environmental degradation that leads to climate change. However, consumers have concerns regarding product quality, sourcing of cells used for production and use of growth serums. So many differing views are present, even before LGM is introduced as a marketable product. This paper examines what drives public discourse regarding how this new industry can be regulated, technology and how social media posts, fake news and publicly available rhetoric address consumer concerns and consumer acceptance regarding this new food category.

The purpose of this research is to better understand what factors influence on households’ waste sorting behavior at source in Mongolia. To accomplish the goal, this study conducted online survey with self-report questionnaire method and the 353 participants’ data were collected through Facebook groups and pages related to house owners’ associations and waste recycling related non-profit organizations. The results show that the underlying factors determining the intention of waste sorting at source are (1) motivational bases such as prior beliefs and social norms; (2) and an ability/knowledge about the waste sorting at source. Furthermore, the intention is crucial predictor of the real behavior of waste sorting at source, but the most important one is an opportunity to do so. The conclusions and the recommendations are provided.