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The purpose of this paper is to provide some references for teachers who use KidsProgram or other graphic programming tools platform for STEAM (science, technology, engineering, arts and mathematics) education at distance by game-based teaching. From the design of the STEAM class, teachers can know how to stimulate students’ interest in programming and cultivating their ability to innovate and solve practical problems more clearly with KidsProgram.

This paper will explain the teaching design from ten aspects and implement it in real class to see the result. The ten aspects are situations creation, knowledge popularization, raising problems, analyzing problems, concepts introduction, interface design, logic design, self-evaluation and mutual evaluation, teacher comments and extension and innovation. With the KidsProgram platform, this paper takes “The Missile Convey,” a sub-course of “Discovery Universe” as an example. Through the situation created by the teacher, students brainstorm the dangers that the earth may encounter in the universe and then learn relevant scientific knowledge. Next, students raise and analyze problems according to the situation under the guidance of the teacher. Through the interaction with teachers, students review the programming concepts and the usage of corresponding coding blocks needed for the project, like “random number.” They need to carry out interface design and logic design for the project, and complete the project. After that, the students use the self-evaluation form and the mutual evaluation form to modify and then show and share the projects to the in front of the class. After self-evaluation and peer evaluation, the teacher will make a final summary evaluation and make some suggestions for improvement. From the students’ programming productions and the interviews with them, the teaching result can be known.

With elaborate teaching design and appropriate teaching strategies, students can flexibly use multi-disciplinary knowledge of science, technology, engineering, art and mathematics to solve problems in the process of creation, which is conducive to the cultivation and improvement of students’ comprehensive quality on KidsProgram classroom, under the guidance of STEAM education. In other words, in this class, students need to use engineering thinking to plan the whole project based on the understanding of scientific principles, design interfaces with artistic ideas, use mathematical knowledge for logical operations, and gradually solve technical problems with the above knowledge or methods in a comprehensive way.

The KidsProgram is a leading graphical programming tool platform in China in recent years. It deeply reconstructs the concept of Scratch designed by MIT. Graphic programming, a method of programming by dragging and dropping blocks containing natural languages, is different from traditional code programming. In this paper, the visualized cases in the class will be demonstrated in the “interface design” and “logic design.” This paper designs a course in STEAM education at distance via KidsProgram, hoping to provide some reference for other research on teaching of graphical programming tools.

Crowd network systems have been deemed as a promising mode of modern service industry and future economic society, and taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for realizing the effective governance of the government and the rapid development of economy, avoiding social chaos and mutation. Because crowd network is a large-scale, dynamic and diversified online deep interconnection, its most results cannot be observed in real world, and it cannot be carried out in accordance with traditional way, simulation is of great importance to put forward related research. To solve above problems, this paper aims to propose a simulation architecture based on the characteristics of crowd network and to verify the feasibility of this architecture through a simulation example.

This paper adopts a data-driven architecture by deeply analyzing existing large-scale simulation architectures and proposes a novel reflective memory-based architecture for crowd network simulations. In this paper, the architecture is analyzed from three aspects: implementation framework, functional architecture and implementation architecture. The proposed architecture adopts a general structure to decouple related work in a harmonious way and gets support for reflection storage by connecting to different devices via reflection memory card. Several toolkits for system implementation are designed and connected by data-driven files (DDF), and these XML files constitute a persistent storage layer. To improve the credibility of simulations, VV&A (verification, validation and accreditation) is introduced into the architecture to verify the accuracy of simulation system executions.

Implementation framework introduces the scenes, methods and toolkits involved in the whole simulation architecture construction process. Functional architecture adopts a general structure to decouple related work in a harmonious way. In the implementation architecture, several toolkits for system implementation are designed, which are connected by DDF, and these XML files constitute a persistent storage layer. Crowd network simulations obtain the support of reflective memory by connecting the reflective memory cards on different devices and connect the interfaces of relevant simulation software to complete the corresponding function call. Meanwhile, to improve the credibility of simulations, VV&A is introduced into the architecture to verify the accuracy of simulation system executions.

This paper proposes a novel reflective memory-based architecture for crowd network simulations. Reflective memory is adopted as share memory within given simulation execution in this architecture; communication efficiency and capability have greatly improved by this share memory-based architecture. This paper adopts a data-driven architecture; the architecture mainly relies on XML files to drive the entire simulation process, and XML files have strong readability and do not need special software to read.

Gamification is a tool with great potential to motivate individuals to increase their physical activity. That is why sport apps for mobile devices, such as Nike+ or Strava, have integrated game elements. There is, however, little evidence of gamification's effectiveness in this field. Therefore, the aim of the present study is to analyze the impact of game elements included in gamified sports' apps on the satisfaction of basic psychological needs (i.e. competence, autonomy and relatedness). Similarly, the research analyzes the impact of these needs on autonomous motivation.

To achieve these goals, data were collected from users of gamified sport apps, using an online questionnaire. The data were analyzed using partial least squares structural equation modeling.

The results showed that interaction in the app with achievement-related game elements satisfied the needs for competence, autonomy and relatedness; social-related elements satisfied the need for relatedness; and immersion-related elements satisfied the needs for competence and autonomy. Similarly, satisfaction of the needs for autonomy and relatedness while using the app is crucial to experience autonomous motivation.

The findings of this study provide guidelines for practitioners and app developers.

Based on self-determination theory, the paper provides new insights into the relationship between game elements included in sport apps and individuals' basic psychological needs and motivation.

遊戲化在推動人們增加其體力活動方面是有極大潛能的。因此，設於流動通訊設施的運動應用程式如耐克(Nike)及Strava等都結合了遊戲的元素。唯遊戲化在這領域的功效方面的證明並不多。因此，本研究的目的，在於分析遊戲化運動應用程式內的遊戲元素，對滿足基本心理需要的影響 (即是說，能力水平、自主及關聯性)。同樣地，本研究分析這些需要對自主積極性的影響。

要達到這些目標，數據以一項網上問卷調查方法取自遊戲化運動應用程式的使用者。數據並以偏最小二乘結構方程模型進行分析。

研究結果顯示、在帶有成就相關的遊戲元素的應用程式內的互動滿足了能力水平、自主和關聯性的需要; 與社交有關的元素滿足了關聯性的需要，而與沉浸相關的元素則滿足了能力水平和自主的需要。同樣地，使用應用程式時，要能體驗自主動機、關鍵在於自主及相關性的需要得到滿足。

本研究結果為執業者及應用程式開發商提供了指引。

以自決理論為基礎，本研究為運動應用程式包含的遊戲元素與個人的基本心理需要和動機之間的關係提供新的見解。

The purpose of this paper is to construct a digital collection and database of traditional clothing that is convenient for the digital dissemination and application of traditional clothing and provide resources for research on clothing fashion, traditional clothing techniques, clothing culture, history and clothing teaching.

A real object analysis method was used in this paper, based on 15 core elements of the internationally common DC metadata standard, and with consideration to the characteristics of clothing products and clothing industry application specifications, the core elements of DC are expanded to facilitate the detailed record of the characteristic information of clothing, especially the implicit clothing culture. A code symbol compilation method was developed to give each piece of clothing a unique number, facilitating identification, classification and recording. At last, a metadata construction scheme for traditional clothing was developed. A traditional embroidered children's hat and Mamianqunt serve as examples to demonstrate the metadata elements.

The clothing meta-database provides a main body of traditional clothing while also paying attention to the collection of cultural elements. It is composed of five layers of classified data, source data, characteristic data, connotation data and management data, as well as 28 data elements, providing ease of sharing and interoperation.

This paper expands the subset of fashion metadata by describing traditional clothing metadata, especially the excavation of clothing cultural elements, and developing code compilation methods so that each clothing product can obtain a unique identification number, thereby building a traditional clothing metadata construction scheme consisting of five data layers and containing 28 data elements. This scheme records the information about each layer of traditional clothing in detail and provides shared data for discipline research and industry applications.

The purpose of this paper is to present a conceptual model that defines the essential components shaping the new Digital Supply Chains (DSCs) through the implementation and acceleration of Industry 4.0.

The scope of the present work exposes a conceptual approach and review of the key literature from 1989 to 2019, concerning the evolution and transformation of the actors and constructs in logistics and Supply Chain Management (SCM) by means of examining different conceptual models and a state-of-the-art review of Industry 4.0’s concepts and elements, with a focus on digitization in supply chain (SC) processes. A detailed study of the constructs and components of SCM, as defined by their authors, resulted in the development of a referential and systematic model that fuses the inherent concepts and roles of SCM, with the new technological trends directed toward digitization, automation, and the increasing use of information and communication technologies across logistics global value chains.

Having achieved an exploration of the different conceptual frameworks, there is no compelling evidence of the existence of a conceptual SCM that incorporates the basic theoretical constructs and the new roles and elements of Industry 4.0. Therefore, the main components of Industry 4.0 and their impact on DSC Management are described, driving the proposal for a new conceptual model which addresses and accelerates a vision of the future of the interconnectivity between different DSCs, grouped in clusters in order to add value, through new forms of cooperation and digital integration.

This research explores the gap in the current SCM models leading into Industry 4.0. The proposed model provides a novel and comprehensive overview of the new concepts and components driving the nascent and current DSCs. This conceptual framework will further aid researchers in the exploration of knowledge regarding the variables and components presented, as well as the verification of the newly revealed roles and constructs to understand the new forms of cooperation and implementation of Industry 4.0 in digitalized SCs.

This paper aims to conceptualize supply market orientation (SMO) for the purchasing and supply chain management function and discusses how SMO capabilities are developed and how their application differs within and across firms. This research can thus be used as a blueprint for the development of a SMO capability that accommodates a firm’s unique contextual antecedents’ profile.

The qualitative research design comprises five in-depth case studies with 43 semi-structured interviews with large manufacturing and service firms.

SMO is defined as the capability to exploit market intelligence to assess, integrate and reconfigure the heterogeneously dispersed resources in purchasing and supply chain management in a way that best reflects the peculiarities of a firm’s supply environment. The empirical analysis shows that although SMO capabilities are configured similarly, their application varies across and within firms depending on the characteristics of a firm’s purchasing categories and tasks. Hence, reactive versus proactive SMO application is contingent upon firm-level and purchasing category–level characteristics.

The study uses the dynamic capabilities view as a theoretical background and provides empirical evidence and theoretical reasoning to elaborate and endorse SMO as a dynamic capability that firms need to have to compete in a complex and dynamic environment. The study provides guidance for supply chain managers on how to successfully develop and deploy a SMO capability.

In human history, poverty for most and prosperity for few is the norm. Thus, no theory or practice of common prosperity has been developed. Marxism first formulated the theory of common prosperity, and the classical Marxist authors conducted theoretical exploration on the issue of common prosperity, forming a series of scientific conclusions.

The century-long practical history of the Communist Party of China (CPC) is the great practice of leading the Chinese people in getting rid of poverty, letting some people and regions get rich first and ultimately achieving the goal of common prosperity.

Common prosperity is the great practice of the CPC that leads all Chinese people in building a modern socialist country in an all-round way in the new era.

The path of common prosperity with Chinese characteristics will certainly arise in the process of the great practice of common prosperity with Chinese characteristics. Based on the anti-poverty theory and the “spirit of poverty alleviation” from the battle against poverty with Chinese characteristics, the theory of common prosperity and its spirit with Chinese characteristics will certainly be formed. The above conclusions constitute the basic principles of the theory of common prosperity with Chinese characteristics.

A city is a spatial carrier of innovation activities. Improving the level of urban innovation can play a significant supporting role in building an innovative country. China began to implement the innovative city pilot policy in 2008 and continued to expand the policy into more areas for exploring the path of innovative urban development with Chinese characteristics and improving urban innovation.

Based on mechanism analysis, this paper used the panel data of 269 cities from 2003 to 2016 to empirically test the effect of the pilot policy on the level of urban innovation by using different methods, such as the difference-in-differences model.

The results show that the innovative city pilot policy significantly improves the level of urban innovation. However, according to the findings of the heterogeneity analysis, the effect of the pilot policy on improving the innovation level in direct-controlled municipalities, provincial capitals and sub-provincial cities is weaker than that in ordinary cities, and the effect of the pilot policy on improving the innovation level in cities with a higher quality of science and education resources is weaker than that in cities with lower quality of science and education resources.

Moreover, as the level of urban innovation increases, the effect of the pilot policy on improving the level of urban innovation is an asymmetric inverted V shape, which means the effect is first strengthened and then weakened. The research also finds that the locational heterogeneity of the pilot policy for improving the level of urban innovation is not notable. In addition, the innovative city pilot policy can strengthen the government's strategic guidance, promote the concentration of talent, incentivize corporate investment and optimize the innovation environment, having a positive impact on urban innovation. Moreover, the effect of concentration of talent and the effect of corporate investment incentive are the important reasons for the pilot policy to promote the improvement of the level of urban innovation.

Decision-making is one of the key technologies for self-driving cars. The high dependency of previously existing methods on human driving data or rules makes it difficult to model policies for different driving situations.

In this research, a probabilistic decision-making method based on the Markov decision process (MDP) is proposed to deduce the optimal maneuver automatically in a two-lane highway scenario without using any human data. The decision-making issues in a traffic environment are formulated as the MDP by defining basic elements including states, actions and basic models. Transition and reward models are defined by using a complete prediction model of the surrounding cars. An optimal policy was deduced using a dynamic programing method and evaluated under a two-dimensional simulation environment.

Results show that, at the given scenario, the self-driving car maintained safety and efficiency with the proposed policy.

This paper presents a framework used to derive a driving policy for self-driving cars without relying on any human driving data or rules modeled by hand.

This study is an attempt to apply the techniques of semiotics in conjunction with quantitative analysis to decode and interpret an advertisement which promotes the South Australian Barossa Valley as a tourist destination.

A survey was submitted to a Southeast Asian student and postgraduate sample. Regression analysis and qualitative analysis were carried out, which suggested that the advertisement was engaging the majority of the audience.

Most respondents expressed a desire to visit the location and used language which was evocative and connective. Those who did not or who were turned off by the advertisement's content expressed themselves in language which terminated further engagement.

The sample was a non-target group, but this is an advantage because it provides a base level of unconditioned response.

A better understanding of semiotics may reinforce other areas of marketing endeavour such as social marketing approaches which are gaining more importance in the still developing COVID-19 economy. This methodology can be extended to other marketing communication contexts.

Once campaigns have been aimed at target audiences, there may be potential to orientate another campaign at non-target audiences using the same advertisement. In terms of global marketing, this is extension rather than adaptation.

This study provides an example of how marketing could use semiotics in conjunction with quantitative methods to determine an audience's response and the intention to purchase a product or service.