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This paper aims to discuss the key factors affecting the quality characteristics, such as the number of solder balls, the spread distance of residual underfill and the completion time of the underfilling.

The Taguchi method is applied to configure the orthogonal table and schedule and execute the experiment. In addition, principal components analysis is used to obtain the points. Then, based on gray relational analysis and the technique for order preference by similarity to ideal solution, the closeness between each quality characteristic and the ideal solution is adopted as the basis for evaluating the quality characteristics.

The optimal parameter combination is proposed, which includes 4 dispensing (11 mg/dispensing), a “half flow” interval state, 80°C preheating module PCB board and an L-shaped dispensing path and verification testing is performed.

For vehicles and handheld electronic products, solder joints that connect electronic components to printed circuit boards may be cracked due to collision, vibration or falling. Consequently, solder balls are closely surrounded and protected by the underfill to improve joint strength and resist external force factors, such as collision and vibration. This paper addresses the defects caused during the second reflow process of a vehicle electronic communication module after the underfilling process.

To characterise the optical performance of organic multi‐mode optical waveguides integrated with printed circuit board (PCB) and to demonstrate the feasibility of 2.5 and 10 Gbps optical interconnection in board‐level, respectively.

This paper provides both qualitative and quantitative approaches for the characterization the wave guide performance, i.e. using loss measurement, optical beam profiling, ethernet verification, and eye‐diagram testing. In addition to wave guide loss measurement, the most significance part of the work reported in this paper is to evaluate optical wave guides with coupled VCSELs, by which a 3 dB coupling design budget can thus be identified. Furthermore, by artificially manipulating coupling conditions, practical concerns of EOPCB integration, including waveguide geometry, VCSEL driving power, alignment tolerance, coupling spacing, etc. are studied.

Thermal stability studies related to PCB lamination processes show the feasibility of organic waveguides integrated to traditional PCB manufacturing. For a direct VCSEL/PD coupling scheme, a 3 dB power budget is experimentally identified. For short reach optical interconnection, 10 Gbps up to 17 cm propagation on PCB can be achieved by using 50×50 μm multi‐mode organic waveguides, where a±25 μm tolerance of optical alignment is compatible to the design rules of PCB.

The value of the paper lies in its systematic approaches to identify the waveguide performance through both qualitative and quantitative indices. The correlation between geometry design, processes, coupling conditions, and optical performance of organic waveguides explored in detail. Not only is a standard eye‐diagram test used to verify the waveguide at 2.5 and 10 Gbps bandwidth, but also a prototype of optical data‐communication on giga‐ethernet is demonstrated for long term stability. Following these analytical methods, readers can understand more about the optical performance of waveguides when designing optical interconnection for high speed electro‐optical integrated PCBs.

This study assessed the antecedents and consequences of tourists’ authenticity experience in a new ancient town in China. Based on Chinese cultural background and case study, this paper aims to explore this kind of tourism place making and establishes an empirical model to examine and verify the impact of tourists’ perception, authentic experience and behavioral tendency on such place making, and proposes targeted improvement measures.

Based on a Chinese cultural background and case study, this paper explored a certain kind of tourism place making and established an empirical model to examine and verify the impact of tourists’ perceptions, authentic experiences and behavioral tendencies on such place making; the goals were to try to create a new scale to measure the authenticity of the “new ancient town” in the Chinese context and to propose targeted measures for improvement.

Research shows that Chinese visitors acquire experiences that they perceive to be authentic when visiting a contrived attraction such as a new ancient town. The dimensions of cultural, functional, product, value and unique authenticity were identified as distinct dimensions of tourists’ authenticity experiences in a new ancient town. Although these dimensions have been mentioned at times in the context of traditional Western assessments of authenticity, they do not replicate exactly any category of Western objective authenticity, existential authenticity, constructive authenticity or postmodern authenticity. They instead constitute an authentic experiential dimension in a typical oriental context, which is comprehensively explicated by combining the image of a national cultural theme and the elements of functional construction created by tourist places in a new ancient town.

This study explored the path relationship among perception of place making – authenticity experience – behavioral intention, but it did not analyze relationships among the dimensions of perception of place making or among the authenticity experience variables. Furthermore, advantage was not taken of the availability of socioeconomic information to look for differences among interviewees with different attributes. In addition, there is a profound cultural and complex theoretical connotation to authenticity in the Chinese context, and the study of a single case is insufficient to fully elucidate meaning in this emerging discourse.

By verifying the path of tourists’ authenticity experiences through the perception of place making, the understanding of the effects of different elements of place making on tourists’ experiences is refined. For space producers, different elements of place making promote tourists’ authenticity experiences to different degrees. Strengthening the construction of the physical environment, marketing and scenes can promote tourists’ authenticity experiences: planning and design, marketing and scene enhancements promote tourists’ functional authenticity experiences; planning and design, the physical environment and marketing enhance tourists’ product authenticity experiences; planning and design, marketing, the physical environment and scene enhancement can improve tourists’ perceptions of value; unique authenticity experiences can be created in the marketing and scenes in new ancient towns.

Certain aspects of the space production in new ancient towns can be used to strengthen tourists’ perceptions of value. First, the scene system at scenic spots can be strengthened, catering to tourists’ visual, olfactory and other senses so that they are available in all kinds of weather. Second, the local cultural characteristics of the material environment can be strengthened and the installation of inappropriate cultural symbols can be avoided. Thus, a physical environment that is of local ethnic cultural significance can be created so that both local residents and tourists can perceive the value of the place. Third, the rational layout of the new ancient towns should be established and maintained through the ongoing involvement of professional planning and design teams. Local cultural attributes that are of national significance should be included in the layout and design of the physical environment. Fourth, daily marketing and management actions influence how tourists influence scene value. Therefore, managers of scenic places need to make prudent decisions about and integrate local folk and ethnic characteristics into their marketing, which can promote the sustainable development of tourism effectively (Saarinen, 2018).

First, this study constructed and validated the model and path relationship of the “perception of place making, authentic experience, and behavioral intention,” and it confirmed that the perception of place making had an important impact on tourists’ authentic experiences. Second, the exploratory factor analysis extracted five dimensions of the tourist authenticity experience (i.e. cultural, functional, unique, product and value authenticity) based on China’s context of ming shi, which enriched the connotations of the authenticity experience. Third, this study effectively linked the perception of place making with the real experience and behavioral intention of tourists and expanded the theoretical research boundary of place making to a certain extent.

本文以中国文化背景和案例研究为基础, 对“新古镇”旅游的地方营造进行了探讨, 并建立了实证模型。利用SPSS 23.0和Smart PLS 3.0进行数据分析, 检验和验证游客在类似场所的地方营造感知、真实体验和行为意向的路径关系。

以现代技术手段再造（创造）遗产旅游目的地已经成为一个全球性的现象。本文基于中国的文化背景和案例, 考察和验证了游客对地方营造的感知、真实性体验和行为意向的影响, 尝试创造一种新的尺度来衡量在中国语境下“新古镇”的真实性内涵, 并以此提出了针对性的改善措施。

研究表明, 中国游客在参观新古镇等人造景点时, 会获得他们认为真实的体验。文化真实、功能真实、产品真实、价值真实和独特真实是新古镇游客真实性体验的不同维度。它们构成了一个典型东方语境下的真实性内涵, 全面阐述了一个民族文化主题形象与新古镇旅游地方营造功能建设要素的结合。

本研究探讨了地方营造知觉-真实性体验-行为意向之间的路径关系, 但未分析地方营造感知各维度之间及真实性体验变量之间的关系。此外, 没有利用社会经济信息的可用性来寻找不同属性受访者之间的差异。此外, 在中国语境中, 真实性有着深刻的文化内涵和复杂的理论内涵, 仅对单个案例的研究不足以充分阐明这一新兴话题的意义

对于空间生产者来说, 加强物理环境、营销和场景的建设可以促进游客的真实体验:规划设计、营销和场景的增强可以促进游客的功能真实体验;规划设计、物质环境、营销提升游客的产品真实性体验;规划设计、营销、实体环境和场景提升可以提升游客的价值感知;在新古镇的营销和场景中应创造独特的真实性体验。

新古镇地方营造的某些方面可以提升游客的价值感知。首先, 通过迎合游客的视觉、嗅觉和其他感官, 加强景区的场景系统。其次, 可以创造一个具有当地民族文化意义的物质环境, 使当地居民和游客都能感受到这个地方的价值。第三, 通过专业规划设计团队的持续参与, 建立和维护新古镇的合理布局。第四, 日常营销和管理行为影响游客的价值体验。

首先, 本研究构建并验证了“地方营造感知、真实体验与行为意向”的模型和路径关系, 证实了地方营造感知对游客真实体验的重要影响。其次, 基于中国语境, EFA提取了旅游真实性体验的五个维度(文化真实、功能真实、独特真实、产品真实和价值真实), 丰富了真实性体验的内涵。第三, 本研究将游客的地方营造感知、真实体验和行为意向进行了有效地连接。

Basándose en un contexto cultural chino y en un estudio de caso, este artículo exploró la creación de lugares turísticos en la “nueva ciudad antigua” y estableció un modelo empírico. Se utilizaron SPSS 23.0 y Smart PLS 3.0 para el análisis de datos, con el fin de examinar y verificar la relación entre las percepciones de la creación de lugares, las experiencias auténticas y las intenciones de comportamiento de los turistas en dichos lugares.

La recreación moderna de lugares como atracciones turísticas patrimoniales es un fenómeno mundial. Partiendo de un contexto cultural chino y de un estudio de caso, este artículo examina y verifica el impacto de las percepciones de los turistas, las experiencias auténticas y las tendencias de comportamiento en dicha creación de lugares; los objetivos eran intentar crear una nueva escala para medir la autenticidad de la “nueva ciudad antigua” en el contexto chino y proponer medidas específicas de mejora.

La investigación muestra que los visitantes chinos adquieren experiencias que perciben como auténticas cuando visitan una atracción artificial como una nueva ciudad antigua. Las dimensiones de autenticidad cultural, funcional, de producto, de valor y única se identificaron como dimensiones distintas de las experiencias de autenticidad de los turistas en una nueva ciudad antigua. Éstas constituyen una auténtica dimensión experiencial en un contexto típicamente oriental, que se explica de forma exhaustiva combinando la imagen de un tema cultural nacional con los elementos de construcción funcional creados por los lugares turísticos de una nueva ciudad antigua.

Este estudio exploró la relación entre la percepción de la creación de lugares, la experiencia de autenticidad y la intención de comportamiento, pero no analizó las relaciones entre las dimensiones de la percepción de la creación de lugares, ni entre las variables de la experiencia de autenticidad. Además, no se aprovechó la disponibilidad de información socioeconómica para buscar diferencias entre entrevistados con distintos atributos. Adicionalmente, en el contexto chino, la autenticidad tiene profundas connotaciones culturales y teóricas complejas, y el estudio de un solo caso no basta para dilucidar plenamente la importancia de este tema emergente.

Para los productores de espacios, reforzar la construcción del entorno físico, el marketing y las escenas puede promover las experiencias de autenticidad de los turistas: la planificación y el diseño, el marketing y la mejora de las escenas promueve las experiencias de autenticidad funcional de los turistas; la planificación y el diseño, el entorno físico y el marketing mejoran las experiencias de autenticidad de los productos de los turistas; la planificación y el diseño, el marketing, el entorno físico y la mejora de las escenas pueden mejorar la percepción de valor de los turistas; se pueden crear experiencias de autenticidad únicas en el marketing y las escenas de las nuevas ciudades antiguas.

Ciertos aspectos de la creación de lugares en las nuevas ciudades antiguas pueden mejorar la percepción de valor de los turistas. En primer lugar, puede reforzarse el sistema escénico de los lugares de interés, atendiendo a los sentidos visuales, olfativos y de otro tipo de los turistas. En segundo lugar, se puede crear un entorno físico que tenga un significado cultural étnico local para que tanto los residentes locales como los turistas puedan percibir el valor del lugar. En tercer lugar, el trazado racional de las nuevas ciudades antiguas debe establecerse y mantenerse mediante la participación continua de equipos profesionales de planificación y diseño. En cuarto lugar, las acciones diarias de marketing y gestión influyen en la experiencia de valor del turista.

En primer lugar, este estudio construyó y validó el modelo y la relación entre la “percepción de la creación de lugares, la experiencia auténtica y la intención de comportamiento,” lo que confirmó la importante influencia de la percepción de la creación de lugares en la experiencia auténtica de los turistas. En segundo lugar, basándose en el contexto chino, el análisis factorial exploratorio extrajo cinco dimensiones de la experiencia de autenticidad turística (autenticidad cultural, funcional, única, del producto y del valor), que enriquecieron las connotaciones de la experiencia de autenticidad. En tercer lugar, este estudio vinculó eficazmente las percepciones de los turistas sobre la creación de lugares, con la experiencia real y con las intenciones de comportamiento de los turistas.

Incorporating dynamic spatial effects exhibits considerable potential in improving the accuracy of forecasting tourism demands. This study aims to propose an innovative deep learning model for capturing dynamic spatial effects.

A novel deep learning model founded on the transformer architecture, called the spatiotemporal transformer network, is presented. This model has three components: the temporal transformer, spatial transformer and spatiotemporal fusion modules. The dynamic temporal dependencies of each attraction are extracted efficiently by the temporal transformer module. The dynamic spatial correlations between attractions are extracted efficiently by the spatial transformer module. The extracted dynamic temporal and spatial features are fused in a learnable manner in the spatiotemporal fusion module. Convolutional operations are implemented to generate the final forecasts.

The results indicate that the proposed model performs better in forecasting accuracy than some popular benchmark models, demonstrating its significant forecasting performance. Incorporating dynamic spatiotemporal features is an effective strategy for improving forecasting. It can provide an important reference to related studies.

The proposed model leverages high-frequency data to achieve accurate predictions at the micro level by incorporating dynamic spatial effects. Destination managers should fully consider the dynamic spatial effects of attractions when planning and marketing to promote tourism resources.

This study incorporates dynamic spatial effects into tourism demand forecasting models by using a transformer neural network. It advances the development of methodologies in related fields.

纳入动态空间效应在提高旅游需求预测的准确性方面具有相当大的潜力。本研究提出了一种捕捉动态空间效应的创新型深度学习模型。

本研究提出了一种基于变压器架构的新型深度学习模型, 称为时空变压器网络。该模型由三个部分组成：时空转换器、空间转换器和时空融合模块。时空转换器模块可有效提取每个景点的动态时间依赖关系。空间转换器模块可有效提取景点之间的动态空间相关性。提取的动态时间和空间特征在时空融合模块中以可学习的方式进行融合。通过卷积运算生成最终预测结果。

结果表明, 与一些流行的基准模型相比, 所提出的模型在预测准确性方面表现更好, 证明了其显著的预测性能。纳入动态时空特征是改进预测的有效策略。它可为相关研究提供重要参考。

所提出的模型利用高频数据, 通过纳入动态空间效应, 在微观层面上实现了准确预测。旅游目的地管理者在规划和营销推广旅游资源时, 应充分考虑景点的动态空间效应。

本研究通过使用变压器神经网络, 将动态空间效应纳入旅游需求预测模型。它推动了相关领域方法论的发展。

La incorporación de efectos espaciales dinámicos ofrece un considerable potencial para mejorar la precisión de la previsión de la demanda turística. Este estudio propone un modelo innovador de aprendizaje profundo para capturar los efectos espaciales dinámicos.

Se presenta un novedoso modelo de aprendizaje profundo basado en la arquitectura transformadora, denominado red de transformador espaciotemporal. Este modelo tiene tres componentes: el transformador temporal, el transformador espacial y los módulos de fusión espaciotemporal. El módulo transformador temporal extrae de manera eficiente las dependencias temporales dinámicas de cada atracción. El módulo transformador espacial extrae eficientemente las correlaciones espaciales dinámicas entre las atracciones. Las características dinámicas temporales y espaciales extraídas se fusionan de manera que se puede aprender en el módulo de fusión espaciotemporal. Se aplican operaciones convolucionales para generar las previsiones finales.

Los resultados indican que el modelo propuesto obtiene mejores resultados en la precisión de las previsiones que algunos modelos de referencia conocidos, lo que demuestra su importante capacidad de previsión. La incorporación de características espaciotemporales dinámicas supone una estrategia eficaz para mejorar las previsiones. Esto puede proporcionar una referencia importante para estudios afines.

El modelo propuesto aprovecha los datos de alta frecuencia para lograr predicciones precisas a nivel micro incorporando efectos espaciales dinámicos. Los gestores de destinos deberían tener plenamente en cuenta los efectos espaciales dinámicos de las atracciones en la planificación y marketing para la promoción de los recursos turísticos.

Este estudio incorpora efectos espaciales dinámicos a los modelos de previsión de la demanda turística mediante el empleo de una red neuronal transformadora. Supone un avance en el desarrollo de metodologías en campos afines.

High-quality labor supply is inevitable to maintain sustainable and steady economic growth. This study mainly explores the impact of the social pension system on the health of human capital, and further explores its impact mechanism.

On the basis of the data from China Family Panel Studies from 2012 to 2018, this article uses the fixed effect model and the mediation effect model to empirically study the influence of the social pension scheme on the health of human capital and further explore its influence mechanism.

This study shows that the social pension scheme can significantly improve the physical and mental health of laborers, especially for low-income and agricultural groups. The implementation of the social pension scheme contributes to increasing medical services and reducing the labor supply for the benefit of human health capital. Therefore, the government should continue to expand the coverage of the social pension scheme and comprehensively improve the importance of human health capital on economic growth.

Medical costs and labor supply play a mediating effect in the relationship between social pension and rural labors' health status, which indicates that medical costs and labor supply level are still important factors affecting the health status of rural labor. There are essential factors affecting the health status of the rural labor force, and their role should be given more consideration in the process of system design and improvement.

The existing studies have more frequently studied the effect of the implementation of social pension schemes from the perspective of economic performance, but this paper evaluates the policy effect of social pension schemes based on the perspective of health human capital, which enriches research on health performance in related fields.

The goal of this chapter is to respond to the theoretical inquiries by scholars who are interested in how the public–private partnership (PPP) models adapt to China’s context where political power dictates economic strategies. We also want to provide suggestions to policy designers who aim to promote a sustainable investment environment for domestic and international investors. We review the literature that explains the upside and downside of PPP projects in contemporary China. (1) We classify the trajectory of PPP evolution into four phases, i.e., emergence, growth, recession and revival. (2) We note that private companies take a disadvantageous position in the partnership compared with governments and state-owned enterprises because of a lack of specialized legislation, unequal competition between private companies and state-owned enterprises and the opposition from the civic society. (3) We identify political risks as the most influential risks. Political risks also lead to the misallocation of other risks between public and private parties that contributes to the high failure rate of China’s PPP projects. Based on these findings, we recommend governments to draft specialized legislation, stabilize the political environment and provide favourable subsidies to local governments to limit the risks involved in PPP projects. We also advise private enterprises and state-owned enterprises to focus on negotiating over task and risk division with governments when they make decisions to participate in PPP projects. This full review of studies on PPP development in China provides reliable recommendations to scholars, governments and enterprises.

Given the importance of spatial effects in improving the accuracy of hotel demand forecasting, this study aims to introduce price and online rating, two critical factors influencing hotel demand, as external variables into the model, and capture the spatial and temporal correlation of hotel demand within the region.

For high practical implications, the authors conduct the case study in Xiamen, China, where the hotel industry is prosperous. Based on the daily demand data of 118 hotels before and during the COVID-19 period (from January to June 2019 and from January to June 2021), the authors evaluate the prediction performance of the proposed innovative model, that is, a deep learning-based model, incorporating graph convolutional networks (GCN) and gated recurrent units.

The proposed model simultaneously predicts the daily demand of multiple hotels. It effectively captures the spatial-temporal characteristics of hotel demand. In addition, the features, price and online rating of competing hotels can further improve predictive performance. Meanwhile, the robustness of the model is verified by comparing the forecasting results for different periods (during and before the COVID-19 period).

From a long-term management perspective, long-term observation of market competitors’ rankings and price changes can facilitate timely adjustment of corresponding management measures, especially attention to extremely critical factors affecting forecast demand, such as price. While from a short-term operational perspective, short-term demand forecasting can greatly improve hotel operational efficiency, such as optimizing resource allocation and dynamically adjusting prices. The proposed model not only achieves short-term demand forecasting, but also greatly improves the forecasting accuracy by considering factors related to competitors in the same region.

The originalities of the study are as follows. First, this study represents a pioneering attempt to incorporate demand, price and online rating of other hotels into the forecasting model. Second, integrated deep learning models based on GCN and gated recurrent unit complement existing predictive models using historical data in a methodological sense.