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This paper aims to review research on mental health and well-being (MHW) in tourism, which the United Nations addresses in Sustainable Development Goal No. 3 (SDG 3). The authors also pinpoint future directions regarding how tourism can contribute to this goal from theoretical and practical standpoints.

The authors review the literature on MHW in tourism from the perspectives of tourists, residents and tourism workers.

Researchers have predominantly analysed tourists’ MHW outcomes through the lenses of positive psychology and tourism therapy; only a small number of studies have focused on MHW-related benefits and challenges in terms of tourism development for residents and tourism workers. Investigations of MHW in tourism require interdisciplinary approaches to reveal how tourism promotes diverse stakeholders’ mental health. Practically, there is an urgent need to incorporate tourism products and services into mental health care, and design tourism experience with positive psychology principles.

This study offers insights into fostering MHW through tourism. It specifically proposes theoretical and practical ways in which tourism might enhance MHW for various industry stakeholders, contributing to SDG 3.

本文基于联合国可持续发展目标中的第三个目标（SDG 3）, 对旅游中的心理健康和幸福感研究进行了回顾, 并就旅游如何助推这一目标的实现指明了未来的研究和实践方向。

本文从游客、居民和旅游从业者的角度对与旅游中的心理健康和幸福感相关的文献进行了回顾和评估。

当前研究主要从积极心理学和旅游疗法的视角分析了游客的心理健康和幸福感, 有关旅游业发展对居民和旅游从业者心理健康和幸福感的积极影响及挑战的研究尚不多见。因此, 需采用跨学科进路来揭示旅游业对不同利益相关者心理健康的促进作用。在实践方面, 亟需将旅游产品和服务纳入到心理健康护理体系中, 并依据积极心理学原理来开展旅游体验设计。

本文为通过旅游发展来促进心理健康与幸福感这一主题提供了见解。本文为旅游业如何提高各利益相关者的心理健康与幸福感提供了理论方面和实践方面的进路, 从而助推联合国可持续发展目标中第三个目标的实现。

Este artículo revisa los estudios y las investigaciones sobre la salud mental y el bienestar en el turismo (MHW por sus siglas en inglés, basándose en el Objetivo de Desarrollo Sostenible 3 (ODS 3) de las Naciones Unidas, y explora las futuras direcciones de investigación y práctica en el impulso del logro de este objetivo a través del turismo.

Se revisa la literatura relevante sobre la salud mental y el bienestar en el turismo desde la perspectiva de los turistas, residentes y trabajadores del sector turístico.

Actualmente, las investigaciones se centran principalmente en el análisis de la salud mental y el bienestar de los turistas desde la perspectiva de la psicología positiva y la terapia de turismo. Sin embargo, hay una falta de investigación sobre el impacto positivo y los desafíos del desarrollo turístico en la salud mental y el bienestar de los residentes y trabajadores del turismo. Por lo tanto, se requiere un enfoque interdisciplinario para revelar el papel del turismo en la promoción de la salud mental para diferentes partes interesadas. En cuanto a la práctica, se debe explorar activamente la integración de productos y servicios turísticos en el cuidado de la salud mental y diseñar actividades turísticas basadas en los principios de la psicología positiva.

Este estudio ofrece perspectivas sobre el papel del turismo en la promoción de la salud mental y el bienestar. Al proponer rutas teóricas y prácticas para mejorar la salud mental y el bienestar de las partes interesadas en el turismo, este artículo tiene como objetivo contribuir al logro del Objetivo de Desarrollo Sostenible 3 (ODS 3) de las Naciones Unidas.

In China, supply chain finance (SCF) has gradually emerged as a new service for the retail industry. This case systematically discusses how JD conducts product design and risk control of supply chain finance and related financial services, and analyze the impact of supply chain finance on JD's retail operations. The case also analyzes the relationship between JD supply chain finance and traditional financial institutions, and explore the future development of retail supply chain finance.

A self-adaptive piston is designed for the compressional gas cushion press nanoimprint lithography system. It avoids the lube pollution and high wear of traditional piston.

The self-adaptive piston device consists of symmetrical piston bodies, piston rings and other parts. The two piston bodies are linked by a ball-screw. The locking nut adjusts the distance between two piston bodies to avoid the piston rings from being stuck. The piston rings are placed between two piston bodies.

The simulation results based on COMSOL indicate that cylinder vibration caused by self-adaptive piston is 15.9 times smaller than the one caused by a traditional piston.

The self-adaptive piston is superior to the traditional piston in decreasing cylinder vibration.

Safety management plays an important part in coal mine construction. Due to complex data, the implementation of the construction safety knowledge scattered in standards poses a challenge. This paper aims to develop a knowledge extraction model to automatically and efficiently extract domain knowledge from unstructured texts.

Bidirectional encoder representations from transformers (BERT)-bidirectional long short-term memory (BiLSTM)-conditional random field (CRF) method based on a pre-training language model was applied to carry out knowledge entity recognition in the field of coal mine construction safety in this paper. Firstly, 80 safety standards for coal mine construction were collected, sorted out and marked as a descriptive corpus. Then, the BERT pre-training language model was used to obtain dynamic word vectors. Finally, the BiLSTM-CRF model concluded the entity’s optimal tag sequence.

Accordingly, 11,933 entities and 2,051 relationships in the standard specifications texts of this paper were identified and a language model suitable for coal mine construction safety management was proposed. The experiments showed that F1 values were all above 60% in nine types of entities such as security management. F1 value of this model was more than 60% for entity extraction. The model identified and extracted entities more accurately than conventional methods.

This work completed the domain knowledge query and built a Q&A platform via entities and relationships identified by the standard specifications suitable for coal mines. This paper proposed a systematic framework for texts in coal mine construction safety to improve efficiency and accuracy of domain-specific entity extraction. In addition, the pretraining language model was also introduced into the coal mine construction safety to realize dynamic entity recognition, which provides technical support and theoretical reference for the optimization of safety management platforms.

Defining and validating a map of related technologies is critical for managers, investors and inventors. Because of the increase in the applications of and demand for semiconductor lasers, analyzing the technological position of developers has become increasingly critical. Therefore, the purpose of this study is to adopt the technological position analysis to identify mainstream technologies and developments relevant to semiconductor lasers.

Correspondence analysis and k-means cluster analysis, which are data mining techniques, are used to reveal strategic groups of major competitors in the semiconductor laser market according to their Patent Cooperation Treaty (PCT) patent applications.

The results of this study reveal that PCT patent applications are generally obtained for masers, optical elements, semiconductor devices and methods for measuring and that technology developers have varying technological positions.

Through position analysis, this study identifies the technological focuses of different manufacturers to obtain information that can guide the allocation of research and development resources.