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The purpose of this study is to comprehensively review the human resource management (HRM) and employment relations (ERs) field and explore the knowledge map, knowledge evolution trends and paths and paradigm shifts within this field.

The Structural Topic Model in combination with Word2vec is proposed and applied in this work. First, this paper detects and interprets the research topics by reviewing 23,786 papers from 29 important journals in this field from 1990 to 2021. Then, this research explores popularity trends by aggregating topic proportions from a temporal perspective. Finally, this work explores the research topic evolution from the semantic perspective.

This paper obtains the following findings: (1) Sixteen research topics are identified, which provide the basic research overview of the whole field. (2) The changes in topic popularity over time map the tendency for employee benefits to be valued. (3) The evolutionary trajectories of temporal local topics are provided, which reflect the mechanisms of the paradigm and ideological migration and fusion.

This work adopts state-of-the-art textual as well as semantic mining techniques to establish a comprehensive knowledge map for HRM and ER research. Furthermore, these results uniquely demonstrate the pluralistic ideological orientation at the social level is gradually integrated into more micro levels, such as enterprises and individuals. These are the contents that were mentioned from previous studies by scholars, but not meticulously verified and interpreted.

To solve the problem of meminductor in circuit design, this paper aims to describe a synthesis method and the mechanism in terms of constitutive relation of the gyrator for transforming nano memristor into meminductor.

The gyrator was designed to achieve memristor-meminductor transformation by using amplifiers and memristor.

The simulation results verify the flexibility of its operation.

This gyrator can be used in integrated circuit design such as filter, diplexer, and it has a simple and economical implementation.

Industrial land renewal is a significant constituent of urban environment and sustainable development. Most implementation in planning of renewal of industrial land has been mainly conducted at the site level of industrial zones or parks and the larger scale of township planning deserve further attention in China. To fill this gap, this paper aims to investigate the implementation of industrial land renewal for a whole urbanized area under the township master planning.

This study introduces a progressive approach to identify and evaluate the renewal of industrial land in township master planning to move toward a more practical understanding of industrial transition. The authors chose a typical industrialized town, Lijia in Changzhou City, under the development model of “Southern Jiangsu” to explain the measurement and assessment framework to identify and evaluate the renewable industrial land. Synthesizing the idea of sustainable development, the authors investigated the renewable industrial land with an econometric model including multiple-indexes of economic, social and ecological aspects, field observations and depth interviews.

The analysis demonstrated the spatial heterogeneity and complex generous structure of industrial land renewal in developing countries. It pointed out the major responsibility of enterprises as main industrial land users and indispensable responsibility of government and society. Following the idea of organic concentration and avoiding one-size-fits-all kind of deal, the master planning of Lijia emphasized the connection of industrial land and the combination of market force, social force and government regulation.

With original data and discussion, the authors provide more scientific renewal strategies for planners in sustainable development.

Rapid development of IT and communication technologies resulted in the “Smart” concept, which of late has become quite popular. The smart concept signifies the integration of organizational networks and smart features that enrich the ecosystem, facilitate daily activities for all stakeholders, and for automatization. Smart concept was discussed as a complicated technological infrastructure in urban areas intended to promote economic, social and environmental welfare. The latest technological developments gave rise to the concepts of smart planet, smart city and smart destination that have become important in recent years. Technological innovations have had a big influence on the development of the tourism industry. Smart concept is conceptualized as smart tourism for tourism sector. Smart Tourism generally has a positive effect on the rapid change of information and technology and on the tourism sector, tourism activities and increase in customer satisfaction. In this chapter, the concept of Smart and its smart technologies are explained and information about its reflections on the tourism sector and smart tourism destinations are discussed.

This study aims to present a systematic review of smart tourism articles using a meta-synthesis method. Effective systematic reviews are essential for assisting stakeholders in implementing smart destinations. A systematic comprehension of studies on smart tourism is needed regarding the various components of smart tourism destinations, the metrics to map these components and their expected results. This study creates a framework for understanding how smart tourism destinations are theorized and developed.

Based on the meta-synthesis approach, this study collects, analyzes and synthesizes relevant research in smart tourism published in online databases by following a predetermined review protocol.

This study contributes to the discourse on smart tourism destinations by increasing the knowledge on the subject of smart destinations in regard to different categories. The selected articles were analyzed according to the proposed research questions and classified into three main categories: components, measurement and outputs. This study presents a new archetype for developing smart destinations and addresses efforts to bridge the gap in this research field.

This paper is noteworthy for stakeholders because it provides a comprehensive vision into the components that influence the growth of smart destinations. The advantage of the proposed methodology is that it creates a framework for understanding how smart destinations are theorized. Furthermore, it is helpful to use qualitative methodologies that efficiently allow the analysis of related literature and that also offer conceptual insights.

The findings provide information that can be used to help shape a fully conceptualized understanding of the smart destinations concept and can also prove important in providing a guide for policymakers and stakeholders in the tourism industry who seek to intelligently develop tourism destinations.

本研究基于综合集成方法, 遵循预先设计的回顾方案, 收集、分析和综合线上资料库中相关智慧旅游的研究成果

本研究旨在运用综合集成方法对智慧旅游文献进行系统的回顾。有效的系统的综述对协助相关利益者实现智慧旅游目的地至关重要。有必要系统地理解智能旅游的研究, 包括智能旅游目的地的各个要素, 映射这些要素的指标及其预期结果。本研究为理解智慧旅游目的地如何理论化和发展提供了框架。

本研究通过增加不同类别的智慧旅游目的地的相关知识, 推动对智慧旅游目的地的探讨。根据提出的研究问题和三大主要类别：组成要素、测量和产出, 对遴选的文章进行分析。本研究为开发智慧旅游目的地提供了新的典例, 并致力于这一研究领域的空白。

本文对利益相关者是重要的, 因为它为影响智慧旅游目的地增长的要素提供了一个综合性视角。此方法的优点在于为理解智慧旅游目的地理论化提供框架。此外, 本文有助于运用定性方法有效地分析相关文献, 并提供概念化见解。

研究结果提供的信息可用于帮助形成对智慧旅游目的地概念的全面的概念化理解, 也对旅游业中寻求智能化开发旅游目的地的决策者和利益相关者提供指导具有重要意义。

Basándose en el enfoque de la metasíntesis, este estudio recoge, analiza y sintetiza las investigaciones pertinentes en materia de turismo inteligente publicadas en bases de datos en línea siguiendo un protocolo de revisión predeterminado.

Este estudio tiene como objetivo presentar una revisión sistemática de los artículos de turismo inteligente utilizando un método de meta-síntesis. Las revisiones sistemáticas eficaces son esenciales para ayudar a los interesados a poner en práctica los destinos inteligentes. Se necesita una comprensión sistemática de los estudios sobre turismo inteligente en relación con los diversos componentes de los destinos de turismo inteligente, las métricas para trazar el mapa de estos componentes y sus resultados esperados. Este estudio crea un marco para comprender cómo se teorizan y desarrollan los destinos turísticos inteligentes.

El presente estudio contribuye al discurso sobre los destinos turísticos inteligentes al aumentar el conocimiento sobre el tema de los destinos inteligentes en relación con diferentes categorías. Los artículos seleccionados fueron analizados de acuerdo con las preguntas de investigación propuestas y clasificados en tres categorías principales: componentes, medición y resultados. Este estudio presenta un nuevo arquetipo para el desarrollo de los destinos inteligentes y aborda los esfuerzos para salvar la brecha en este campo de investigación.

Este artículo es digno de mención para los interesados porque ofrece una visión global de los componentes que influyen en el crecimiento de los destinos inteligentes. La ventaja de la metodología propuesta es que crea un marco para comprender cómo se teorizan los destinos inteligentes. Además, es útil para utilizar metodologías cualitativas que permitan analizar eficazmente la literatura conexa y que también ofrezcan perspectivas conceptuales.

Este estudio ofrece una revisión sistemática de la investigación más reciente publicada sobre turismo inteligente. Los resultados de este estudio podrían ser importantes para proporcionar una guía a los responsables políticos y a los actores del sector turístico que buscan desarrollar inteligentemente sus destinos turísticos. Los resultados del análisis sistemático pueden servir de punto de partida útil para futuras investigaciones en este ámbito.

Aiming at the traditional multivariate grey forecasting model only considers the modelling of real numbers; therefore, the purpose of this paper is to construct an MGM(1, m) model based on the interval grey number sequences according to the grey modelling theory.

First, the multivariable grey number sequences are transformed into the kernel and grey radius sequences which are two feature sequences of interval grey number sequences. Then the MGM(1, m) model for kernel sequences and grey radius sequences are established, respectively. Finally, the simulation and prediction of the upper and lower bounds of the interval grey number sequences are realized by the reductive calculation of the predicted values of the kernel and grey radius.

The model is applied to the prediction of visibility and relative humidity, the identification factors of the haze. The results show that the model has high accuracy on the simulation and prediction of multivariable grey number sequences, which is reasonable and practical.

The main contribution of this paper is to propose a method to simulate and forecast the multivariable grey number sequence that is to establish the prediction models for the whitening sequences of multivariable grey number sequences which are kernel and grey radius sequences and extend the possibility boundary of kernel by grey radius. The model can reflect the development trend of multivariable grey number sequence accurately. When the grey information is continuously complemented, the multivariable grey number prediction model is transformed into the traditional MGM(1, m) model. Therefore, the MGM(1, m) model based on interval grey number sequence is the generalisation and expansion of the traditional MGM(1, m) model.

This paper aims to optimize the stiffness coefficient of the elastic element for a passive waist assistive exoskeleton (WAE). There is a tradeoff between stiffness coefficient of elastic element of the exoskeleton and work efficiency of the wearer, because elastic element affects original bending motion of the wearer and the force requirement of erector spinae is compensated by the other muscles. However, there is no accepted conclusion on how to determine the proper stiffness coefficient, especially with respected to the effort of groups of muscles, not only erector spinae.

In this study, a consumption indicator based on muscle fatigue of seven muscles is proposed and a Bayesian-based human-in-the-loop optimization approach is adopted to optimize the stiffness coefficient. Pneumatic artificial muscles are used to replace the mechanical elastic part to adjust the assistive force automatically. The proposed optimization method is verified by the way of load-lifting experiments with three different conditions: without exoskeleton, with fixed air pressure and with optimized air pressure. Six subjects participated in the experiment and each experiment is performed in different day.

Compared with No-Exo condition and static assistance condition, the parameter-optimized waist exoskeleton averagely reduces muscle fatigue of the six subjects by 45.30 ± 29.14% and 30.94 ± 30.29%, respectively. The experimental results indicate that the proposed method is effective to reduce muscle fatigue during stoop lifting task.

This paper provides a novel cost function construction method based on muscle fatigue and muscle synergy for passive WAE stiffness optimization.

This paper aims to verify weather atmospheric plasma spray (APS) in situ remelting posttreatment is effective for densifying the porous FeCoCrMoCBY amorphous alloy (FAA) coating and improving the antiabrasion and anticorrosion performances or not.

APS was used to deposit and in situ densify FAA coating on the 40Cr substrate. Scanning electron microscope, X-ray diffractometer, energy dispersive spectroscopy, neutral salt spray, hardness and wear behavior test were used to evaluate the densifying effects.

APS remelting technology can effectively improve the hardness of the coating by reducing the porosity. After remelting at 30 kW power, the hardness of the coating increased by about 260 HV0.2 and the porosity decreased to 2.78%. The amorphous content of the coating is 93.9%, which is about 3.5% lower than original powders. The electrochemical impedance spectrum and neutral salt spray test results show that APS remelting can reduce the corrosion rate by about 62.7%.

APS remelting method is firstly proposed in this work to replace laser remelting or laser cladding methods. APS remelting method can effectively improve the corrosion and abrasion resistance of the FAA coating by increasing the densification with much low recrystallization, which is big progress for application of FAA coatings.

Engineered material arresting systems (EMASs) are dedicated to stopping aircraft that overrun the runway before they enter dangerous terrain. The system consists of low-strength foamed concretes. The core component of the arresting system design is a reliable simulation model. Aircraft test verification is required before the practical application of the model. This study aims to propose a simulation model for the arresting system design and conducts serial verification tests.

Six verification tests were conducted using a Boeing 737 aircraft. The aircraft was equipped with an extra inertia navigation system and a strain gauge system to measure its motion and the forces exerted on the landing gears. The heights of the arrestor beds for these tests were either 240 or 310 mm, and the entering speeds of the aircraft ranged from 23.9 to 60.6 knots.

Test results revealed that both the aircraft and the pilots on board were safe after the tests. The maximum transient acceleration experienced by the dummies on board was 2.5 g, which is within the human tolerance. The model exhibited a satisfied accuracy to the field tests, as the calculation errors of the stopping distances were no greater than 7 per cent.

This study proposes a simulation model for the arresting system design and conducts serial verification tests. The model can be used in EMAS design.