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This study aims to identify effective ways to promote plant-based foods in quick-service restaurants by considering customers’ food-related health involvement.

This study conducted a 2 (message format: myth/fact or fact-only) × 2 (message focus: benefit- or attribute-focused) × 2 (health involvement: high or low) quasi-experimental design via a scenario-based online survey. A multivariate analysis of covariance and a bootstrapping approach were used to test the hypotheses (N = 365).

The results indicated that message format and focus jointly influenced customers’ perceived health consequences of plant-based foods and purchase intentions; customers’ health involvement altered the two-way interaction between message format and focus; and perceived health consequences mediated the effects of message format and focus as and customers’ health involvement on purchase intentions.

This study identifies the effectiveness of message format and focus in promoting plant-based foods and extends the sustainable product promotion literature by using resource matching theory and the elaboration likelihood model. Future studies should use field studies to examine how can message framing influence customers’ actual behaviors when purchasing plant-based foods.

This study can help quick-service restaurants better promote plant-based foods considering message format and focus and customers’ food-related health involvement.

This is one of only a few studies that have tested how messages containing both negative and positive information about a product could help promote plant-based foods.

Music and sound have been used pervasively to enhance the tourism and hospitality experience. Incorporating music into a brand’s identity has the potential to influence consumer perceptions and decision-making. This study aims to identify how sonic branding influences consumer attitudes and engagement patterns with hotel brands by using feelings as information theory and applying the effects of music on neurochemical phenomena in the brain. It also explores how sonic branding differentially influences the decision-making of consumer segments.

Experimental studies are used to examine how sonic brands influence consumer perceptions and engagement tendencies. Study 1 (n = 92) adopts a single-factor experimental design to investigate the main effects of sonic branding (presence vs absence) on customers’ responses. Study 2 (n = 204) uses a 2 (sonic branding: present vs. absent) × 2 (purpose of travel: leisure vs business) design to examine the interaction effects. Participants were recruited through Prolific.

Results indicate that the use of sonic branding increases engagement tendencies for a hotel brand. In addition, sonic branding interacted with the purpose of travel such that business travelers exhibited more favorable attitudes and higher engagement tendencies toward a hotel brand than leisure travelers when a sonic brand was used.

Given the proliferation of audio-centric environments, this research provides insight into how tourism and hospitality brands can engage and connect with customers by developing sonic brands that can be used throughout the customer journey.

音乐和声音被广泛用于提升旅游和酒店体验。将音乐融入品牌的身份有可能影响消费者的感知和决策。本研究旨在通过使用感觉作为信息理论和应用音乐对大脑神经化学现象的影响, 识别声音品牌如何影响消费者对酒店品牌的态度和参与模式。它还探讨了声音品牌如何对不同消费者群体的决策产生差异化影响。

采用实验研究来检验声音品牌如何影响消费者的感知和参与倾向。研究1（n = 92）采用单因素实验设计, 调查声音品牌（有 vs. 无）对客户反应的主要影响。研究2（n = 204）采用2（声音品牌：有 vs. 无）× 2（旅行目的：休闲 vs. 商务）设计, 检验交互效应。参与者通过Prolific平台招募。

结果表明, 使用声音品牌会增加消费者对酒店品牌的参与倾向。此外, 声音品牌与旅行目的的交互作用表明, 当使用声音品牌时, 商务旅行者比休闲旅行者对酒店品牌表现出更有利的态度和更高的参与倾向。

鉴于音频中心环境的普及, 本研究提供了旅游和酒店品牌如何通过开发声音品牌在整个客户旅程中与客户互动和联系的见解。

La música y el sonido se han utilizado de forma generalizada para mejorar la experiencia del turismo y la hostelería. La incorporación de la música a la identidad de una marca tiene el potencial de influir en las percepciones y la toma de decisiones de los consumidores. Este estudio pretende identificar cómo influye la marca sonora (o audio branding) en las actitudes de los consumidores y en sus patrones de compromiso con las marcas hoteleras utilizando los sentimientos como teoría de la información y aplicando los efectos de la música en los fenómenos neuroquímicos del cerebro. También explora cómo influye diferencialmente la marca sonora en la toma de decisiones de los segmentos de consumidores.

Se emplean estudios experimentales para examinar cómo influyen las marcas sónicas en las percepciones y las tendencias de compromiso de los consumidores. El estudio 1 (N = 92) adopta un diseño experimental de factor único para investigar los efectos principales de la marca sonora (presencia frente a ausencia) en las respuestas de los clientes. El estudio 2 (N = 204) utiliza un diseño 2 (marca sonora: presente frente a ausente) × 2 (Objetivo del viaje: ocio frente a negocios) para examinar los efectos de interacción. Los participantes fueron reclutados a través de Prolific.

Los resultados indican que el uso de la marca sonora aumenta las tendencias de compromiso con una marca hotelera. Además, la marca sonora interactuó con el objetivo del viaje de forma que los viajeros de negocios mostraron actitudes más favorables y mayores tendencias de compromiso hacia una marca hotelera que los viajeros de ocio cuando se utilizó una marca sonora.

Dada la proliferación de entornos audiocéntricos, esta investigación ofrece una visión de cómo las marcas turísticas y de hostelería pueden captar la atención de los clientes y conectar con ellos desarrollando marcas sonoras que puedan utilizarse a lo largo de todo el viaje del cliente.

Depression has become one of the most serious and prevalent mental health problems worldwide. The rise and popularity of social networks such as microblogs provides a wealth of psychological data for early depression detection. Language use patterns reflect emotional states and psychological traits. Differences in language use between depressed and general users may help predict and diagnose early depression. Existing work focuses on depression detection using users' social textual emotion expressions, with less psychology-related knowledge.

In this paper, we propose an RNN-capsule-based depression detection method for microblog users that improves depression detection accuracy in social texts by combining textual emotional information with knowledge related to depression pathology. Specifically, we design a multi-classification RNN capsule that enhances emotion expression features in utterances and improves classification performance of depression-related emotional features. Based on user emotion annotations over time, we use integrated learning to detect depression in a user’s social text by combining the analysis results with components such as emotion change vector, emotion causality analysis, depression lexicon and the presence of surprising emotions.

In our experiments, we test the accuracy of RNN capsules for emotion classification tasks and then validate the effectiveness of different depression detection components. Finally, we achieved 83% depression detection accuracy on real datasets.

The paper overcomes the limitations of social text-based depression detection by incorporating more psychological background knowledge to enhance the early detection success rate of depression.

The purpose of this paper is to consider the factors that influence food plate waste in a UK university food service setting and the insinuated intention to waste food among staff and students.

The study conducted empirical research using an online questionnaire (n=260) at the university. The data were analysed descriptively and inferentially by IBM SPSS Statistics version 22.

Multiple factors influence the level of food plate waste including gender, different categories of food, plate size, portion size and palatability. Two recommendations to reduce plate food waste in the university food service setting include providing a variation in plate size and pricing strategy by portion rather than a whole meal, and communicating with staff and students in the food service setting.

The research contributes, along with previous studies, by focussing here on participants’ food waste intention in food service settings and evidencing the factors of influence.

The research contributes to understanding on participants’ food waste intention in food service settings.

The purpose of this study is to elucidate the effects of electric-arc-induced ablation on the corrosion behavior of pipeline steel in neutral and high pH environments.

Electrochemical testing, an atmospheric-pressure immersion experiment and various techniques (e.g. scanning electron microscopy, energy dispersive X-ray spectroscopy and X-ray photoelectron spectroscopy) were used to examine the effects of electric-arc-induced ablation on the corrosion behavior of pipeline steel in neutral and high pH environment.

Electric-arc-induced ablation occurred preferentially in areas of inclusion. The corrosion resistance of an ablation pit was lower than that of non-ablation areas. In the neutral soil solution, general corrosion was the dominant corrosion that affected pipeline steel; the effect of ablation was small but pitting corrosion could still be induced. In a high pH environment, the samples without ablation were passivated, whereas the samples with ablation pits could not be passivated; the ablation pits were likely to develop pitting corrosion.

Electric-arc-induced ablation can reduce the corrosion resistance of pipeline steel under high-voltage direct current interference.

Parallel factor analysis (PARAFAC) coupled with support-vector machine (SVM) was carried out to identify and discriminate between the fluorescence spectroscopies of coconut water brands.

PARAFAC was applied to reduce three-dimensional data of excitation emission matrix (EEM) to two-dimensional data. SVM was applied to discriminate between six commercial coconut water brands in this study. The three largest variation data from fluorescence spectroscopy were extracted using the PARAFAC method as the input data of SVM classifiers.

The discrimination results of the six commercial coconut water brands were achieved by three SVM methods (Ga-SVM, PSO-SVM and Grid-SVM). The best classification accuracies were 100.00%, 96.43% and 94.64% for the training set, test set and CV accuracy.

The above results indicate that fluorescence spectroscopy combined with PARAFAC and SVM methods proved to be a simple and rapid detection method for coconut water and perhaps other beverages.