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This study emphasizes the growing significance of destination attributes in shaping the experiences and behaviours of gastronomy and culinary tourists. Understanding both core and complementary attributes of a gastronomy tourism destination is crucial for its sustainable development. However, there is a lack of a reliable measurement for tourists’ perceived attributes of gastronomy tourism destinations (PAGTD). Therefore, the purpose of this study is to develop a scale to measure tourists’ PAGTD.

The study systematically followed the scale development and validation process, using three samples (Sample 1, n = 200; Sample 2, n = 204; and Sample 3, n = 204) to establish the psychometric properties of the proposed PAGTD scale.

The validated scale comprises five dimensions, namely, food culture, food sensations, food cooking, service environment, and food price & quality, encompassing a total of 22 measurement items.

This research significantly contributes to the gastronomy tourism literature by elucidating the dimensionality of PAGTD and validating the PAGTD scale.

目的地属性对美食游客的体验和行为的影响日渐凸显。理解美食旅游目的地的核心属性和补充属性对目的地可持续发展至关重要。然而, 目前还缺乏一份测量游客感知的美食旅游目的地属性（PAGTD）的量表。因此, 本文旨在开发并验证游客感知的美食旅游目的地属性量表（PAGTD量表）。

本文严格遵循量表开发与验证的程序, 利用三份样本（样本1, n=200; 样本2, n=204; 样本3, n=204）建立了PAGTD量表的信度和效度。

经过验证, PAGTD量表包括5个维度：美食文化、美食感官因素、美食烹饪、服务环境、美食价格与质量, 共计22个测项。

本文不仅阐明了游客感知的美食旅游目的地属性的多维结构, 还开发并验证了一份具有良好信效度的PAGTD量表。

Este estudio hace hincapié en la creciente importancia de los atributos de los destinos a la hora de configurar las experiencias y los comportamientos de los turistas gastronómicos y culinarios. Comprender tanto los atributos principales como los complementarios de un destino turístico gastronómico es crucial para su desarrollo sostenible. Sin embargo, se carece de una medición fiable de los atributos percibidos por los turistas de los destinos de turismo gastronómico (PAGTD). Por lo tanto, el objetivo de este estudio es desarrollar una escala para medir los PAGTD de los turistas.

El estudio siguió sistemáticamente el proceso de desarrollo y validación de la escala, utilizando tres muestras (Muestra 1, n=200; Muestra 2, n=204; y Muestra 3, n=204) para establecer las propiedades psicométricas de la escala PAGTD propuesta.

La escala validada comprende cinco dimensiones: saber, cultura alimentaria, sensaciones alimentarias, cocina de los alimentos, entorno del servicio y precio y calidad de los alimentos, que abarcan un total de 22 ítems de medición.

Esta investigación contribuye significativamente a la literatura sobre turismo gastronómico al dilucidar la dimensionalidad del PAGTD y validar la escala PAGTD.

Advancements in augmented reality (AR) technology have increased the interest in improving brand equity by creating AR-enhanced branding experiences. However, despite the potential of AR branding, knowledge regarding the underlying mechanisms required for AR features to build brand equity remains limited. Thus, we considered embodied cognition theory to investigate how designing AR features enhances brand equity, particularly through the vivid experience of AR-enhanced body–environment interaction. Specifically, this study focused on both environmental and physical AR features: environmental embedding (EE) and simulated physical control (SPC).

The results of an online experiment with 297 participants in a 2 (high/low EE) × 2 (high/low SPC) between-subjects design underwent analysis of covariance and structural equation modeling to examine the relationship between AR features, vividness and brand equity. We also examined the moderating effects of prior AR experiences.

The results support most hypotheses that the experience of vividness is a crucial mediator linking AR features (EE and SPC) and consumer-based brand equity. The findings confirm the influential role of prior AR experience in the moderated mediation model, implying that AR-enhanced brand equity occurs primarily among technically adept AR consumers.

This study contributes to the literature by identifying AR-enhanced body–environment interactions as a novel approach for enhancing brand equity. We also revealed the antecedents of vividness in the context of AR-enhanced branding. Moreover, the findings reveal that AR effects are contingent on consumers’ prior AR experience.

Precise vehicle localization is a basic and critical technique for various intelligent transportation system (ITS) applications. It also needs to adapt to the complex road environments in real-time. The global positioning system and the strap-down inertial navigation system are two common techniques in the field of vehicle localization. However, the localization accuracy, reliability and real-time performance of these two techniques can not satisfy the requirement of some critical ITS applications such as collision avoiding, vision enhancement and automatic parking. Aiming at the problems above, this paper aims to propose a precise vehicle ego-localization method based on image matching.

This study included three steps, Step 1, extraction of feature points. After getting the image, the local features in the pavement images were extracted using an improved speeded up robust features algorithm. Step 2, eliminate mismatch points. Using a random sample consensus algorithm to eliminate mismatched points of road image and make match point pairs more robust. Step 3, matching of feature points and trajectory generation.

Through the matching and validation of the extracted local feature points, the relative translation and rotation offsets between two consecutive pavement images were calculated, eventually, the trajectory of the vehicle was generated.

The experimental results show that the studied algorithm has an accuracy at decimeter-level and it fully meets the demand of the lane-level positioning in some critical ITS applications.

To ensure accurate position and force control of massage robot working on human body with unknown skin characteristics, this study aims to propose a novel intelligent impedance control system.

First, a skin dynamic model (SDM) is introduced to describe force-deformation on the human body as feed-forward for force control. Then a particle swarm optimization (PSO) method combined with graph-based knowledge transfer learning (GKT) is studied, which will effectively identify personalized skin parameters. Finally, a self-tuning impedance control strategy is designed to accommodate uncertainty of skin dynamics, system delay and signal noise exist in practical applications.

Compared with traditional least square method, genetic algorithm and other kinds of PSO methods, combination of PSO and GKT is validated using experimental data to improve the accuracy and convergence of identification results. The force control is effective, although there are contour errors, control delay and noise problems when the robot does massage on human body.

Integrating GKT into PSO identification algorithm, and designing an adaptive impedance control algorithm. As a result, the robot can understand textural and biological attributes of its surroundings and adapt its planning activities to carry out a stable and accurate force tracking control during dynamic contacts between a robot and a human.

The purpose of this paper is to measure the influence factors of their preferences for urban forest, marginal values of various properties and relative values of different scheme portfolios, thus arriving indirectly at the city residents’ demand for urban forest improvement.

This paper, based on the data from the 2015–2017 field survey questionnaire of city residents over the radius of Beijing’s 5th Ring Road, uses the choice experiment method (CEM) to conduct a study of its residents’ demand for urban forest.

Beijing’s city residents are generally inclined to accept a relatively low payment of urban forest while hoping to access a relatively high urban afforestation coverage with the construction of relatively many city parks, especially focusing on the specialized park management; the marginal values of biodiversity and greenery coverage are far higher than those of greenbelts in quantity and the maximum marginal value of biodiversity remains as high as RMB29.42, indicating that the city residents do not favor much the number of greenbelts over other aspects but they generally hope to achieve a higher greenery coverage and a richer biodiversity.

Generally speaking, what Beijing City needs most is not continuing the increase in the number of greenbelts, but engaging in the rational retrofit of its existing greenbelts and optimizing its urban forest structure.

This paper may provide reference for determining the city residents’ payment criteria for urban forest and will be of equally great significance to developing cities and their urban forest.

Diabetes is one of the most prevailed chronic diseases in the world. Pro-inflammatory cytokines play a key role in the type 2 diabetes mellitus. Pomegranate seed oil (PSO) has potential anti-inflammatory properties. The purpose of this study is to evaluate the antidiabetic effects of the use of PSO on the expression of peroxisome proliferator-activated receptor-gamma (PPAR-γ), pro-inflammatory biomarkers and lipid profile levels in obese type 2 diabetic patients.

In total, 52 patients were randomly assigned to the PSO (n = 26) and placebo (n = 26) groups. Subjects received daily PSO 3 g placebo (paraffin) in 1 g soft-gel capsules (along with breakfast, lunch and dinner meals) for eight weeks.

Serum levels of fasting blood sugar (FBS) decreased from 161.46 ± 34.44 to 143.50 ± 24.2 mg/dL (p = 0.008), IL-6 decreased from 5.17 ± 2.25 to 4.52 ± 1.90 (p = 0.049) and tumor necrosis factor alpha (TNF-α) significantly decreased from 9.17 ± 4.13 to 7.74 ± 2.44 pmol/mL in PSO group (p = 0.030). However, changes in the expression of PPAR-γ gene, serum levels of hs-CRP and lipid profile levels were not significant.

Lack of PSO concentration measurements and the short duration of the study were the key limitations. Future randomized clinical trials with a longer period of follow-up are needed to assess the potential anti-diabetic effects of PSO.

Administration of PSO in obese type 2 diabetic patients reduced the levels of FBS, interleukin 6 and TNF-α; nevertheless, changes in the insulin, lipid profiles and hs-CRP were not significant.

This paper aims to study the impact of external fairness of executive compensation on M&A premium, and examine the moderate role of institutional investors. The high M&A premium is the main factors that induce the huge impairment of listed companies’ goodwill and the plummeting performance. Executives are the decision-makers of M&As, and their decision-making process is inevitably affected by the psychological factors. In recent years, institutional investors have become an important external force that can affect the governance of listed companies.

The authors use M&A data of listed companies from 2008 to 2018 and use OLS regression to test the relationship between executive compensation fairness and M&A premium.

The results show that the lower the external fairness of executive compensation, the greater the M&A premium. Institutional investors can effectively reduce the impact of external compensation unfairness on M&A premiums. The mechanism tests show that executives' psychological perception of fairness induced by external unfairness reduces their motivation to work and prompts them to use high premium to seek alternative compensation incentives. Further examinations of executive characteristics and corporate characteristics show that the role of external unfairness in executive compensation in driving M&A premiums is more pronounced in companies with longer executive tenure, weaker executive reputation incentives and private property.

This paper enriches the research on the pre-factors of M&A premiums from the perspective of executives’ psychological perception of fairness, provides evidence that institutional investors play a positive governance role and provides decision-making references for companies to take corresponding measures to reduce M&A premium risks.