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This paper aims to propose a suitable motion control method for omni‐directional mobile robots (OMRs). In RoboCup competition, the robot moves in a dynamic and oppositional environment, which occurs with high acceleration and deceleration motion frequently, especially for our OMR that slipping is almost inherently encountered in motion. Therefore, the purpose of this paper is to present one improved dynamical model with slip, and then to propose one suitable path‐tracking controller based on it, which gives more accurate control result.

A dynamic modeling method for OMRs based on the theory of vehicle dynamics is proposed. By analyzing the wheel contact friction forces both in the wheel hub rolling direction and in the roller rolling direction, an amendatory dynamics model is presented. This model is introduced into the computed‐torque‐like‐controller (CTLC) system to solve the path‐tracking problem.

An amendatory dynamics model with slip is analyzed and introduced into the CTLC system to solve the path tracking problem for OMR in this paper. The anti‐disturbance ability and the trajectory tracking effect of the proposed motion control method are proven through simulations and experiments.

The proposed path tracking control method based on one improved dynamic model with slip is applied successfully to achieve effective motion control for one four‐wheel OMR, which is suitable for any kind of OMR.

One amendatory dynamics model including slipping between the wheels and ground is presented. Based on the above‐slipping model, one CTLC is implemented to solve the path‐tracking problem for one four‐wheel OMR.

This paper aims to examine whether China's grain price support policy has distorted the grain market price.

The time-varying differences-in-differences (DID) model is used to study the impact of support policies on grain prices, and it is combined with the event study method to explore the dynamic effects of price support policy. Panel data model is used to study the effect of the price support policy on price formation for national grain market prices. In addition, we apply the smooth transformation (STR) model to verify whether there is a distortion in the transmission of grain prices among different markets in China and from the international market to China’s market.

China’s grain price support policy plays a significant role in rising grain market prices, weakens the decisive role of the market mechanism in the formation of grain prices, hinders the spatial transmission of market price signals and decreases the effect of price transmission from the world market to China’s market.

In order to ensure both the stability of grain production as well as the market stability, and also to ensure that intervention policies do not distort the food market, the minimum purchase price of grain and market regulation policies should be adjusted as follows: (1) price support policy should be shifted to an income support policy and (2) reasonably determine the scale of reserves and implement a grain minimum purchase price policy in limited areas.

Our findings are relevant for understanding the effect of China's grain price support policies on the implementation regions and the price transmission effect, which provide reference experience for developing countries to implement food price policies.

As the pioneer nation to formally integrate data as a factor of production into its national strategy, does China’s research emphasis on data factor market differ from that of other countries? Currently, there is a notable absence of comprehensive comparative analyses addressing this issue. The purpose of this study is to fill this gap by systematically reviewing the development trajectory of research on the data factor market from a governance perspective.

In this study, the authors used Citespace software to conduct bibliometric analyses on a corpus of 1,304 international publications and 1,249 Chinese publications. These analyses encompassed various dimensions, including publication quantity and trend analysis, cocitation analysis and keyword cooccurrence analysis, while also facilitating a comparative examination of research disparities between Chinese and international literature.

There are significant differences between Chinese and international data factor market studies in terms of governance environment, governance entities, governance technology and governance mechanism. The authors strongly advocate the promotion of cross-border research collaboration to advance the research and application of data factor market governance.

The authors have innovatively proposed a framework for data factor market governance. Building upon this framework, the authors conducted a comprehensive comparative analysis of research disparities between Chinese and international literature, thereby unveiling emerging research trends in the field of data factor market.

It is an important style classification way to sort out suits according to the button arrangement. However, since the different dressing ways of suit cause the buttons to be easily occluded, the traditional identification methods are difficult to identify the details of suits, and the recognition accuracy is not ideal. The purpose of this paper is to solve the problem of fine-grained classification of suit by button arrangement. Taking men's suits as an example, a method of coordinate position discrimination algorithm combined faster region-based convolutional neural network (R-CNN) algorithm is proposed to achieve accurate batch classification of suit styles under different dressing modes.

The detection algorithm of suit buttons proposed in this paper includes faster R-CNN algorithm and coordinate position discrimination algorithm. Firstly, a small sample base was established, which includes six suit styles in different dressing states. Secondly, buttons and buttonholes in the image were marked, and the image features were extracted by the residual network to identify the object. The anchors regression coordinates in the sample were obtained through convolution, pooling and other operations. Finally, the position coordinate relation of buttons and buttonholes was used to accurately judge and distinguish suit styles under different dressing ways, so as to eliminate the wrong results of direct classification by the network and achieve accurate classification.

The experimental results show that this method could be used to accurately classify suits based on small samples. The recognition accuracy rate reaches 95.42%. It can effectively solve the problem of machine misjudgment of suit style due to the cover of buttons, which provides an effective method for the fine-grained classification of suit style.

A method combining coordinate position discrimination algorithm with convolutional neural network was proposed for the first time to realize the fine-grained classification of suit style. It solves the problem of machine misreading, which is easily caused by buttons occluded in different suits.

China's defense industry is analyzed by comparing the technical level of the military and civilian products manufactured by China's nuclear, space, aviation, shipbuilding, ordnance, and electronics industries with their advanced counterparts. Generally, China's defense industry is about 20 years behind the global leaders. Thus, it is inappropriate to declare China's emergence as the world’s second military power. However, if it continues on its current development trajectory, it will attain that status in the near future.

This chapter examines the changing state–university–student relationships in post/socialist China since the late 1980s. We begin with an introduction to four salient themes in scholarship on Chinese post/socialism that are highly relevant to higher education: globalization, gradualism, civic society, and a critique of holism. These themes help us explain interrelated educational trends that affect the state–university–student relationship: the globalization, “massification,” and stratification of higher education; the redefined role of the state in university governance and management; higher education marketization and privatization; and the quest for meaning and (e)quality in and through higher education. Our general argument is that during the “socialist” period the main relationship central to higher learning was between the state and students. Universities were agents of the state; from a legal point of view, indeed, universities did not have an independent status from the state. In the “post-socialist” era the university–student relationship has become more significant. We examine this reconfiguration through two case studies, one on the development of college student grievance and rights consciousness, and the other on reforms in higher education student services administration. When looked at from the point of view of the state, we see that appropriation and implementation of policies and regulations shaping student rights and services are in partial contradiction with state policies to accelerate economic growth and bolster party authority. From the point of view of universities, we see institutions grappling with how to deliver on forward-looking structures and actions while navigating between the state's policy mandates and growing expectations and demands of its student and business stakeholders. From the point of view of students, we see how constrained agency, uncertainty, and the power of the credential motivates social praxis. At all levels of the state–institution–student relationship actors are employing a kind of pragmatic improvisation (one of the salient features of post/socialism) captured by the well-known Chinese proverb “groping for stones to cross the river.” This saying is an apt metaphor for the tentative searching by state, institution, and individual for a safe foothold in the post/socialist world.

While significant efforts have been made to study auction and logistics theories in the context of perishable supply chain trading (PSCT) over the last few years, the consensus has not yet been reached on how best to examine the impact of physical-internet-enabled auction logistics (AL) decisions and processes on dynamic perishable products transactions. The purpose of this paper is to address this gap by investigating the existing situations and identifying future opportunities for both academic and industrial communities.

The relevant literature was sort out along with three dimensions, namely auction mechanism, level of decision and coordination. The methods of field investigation and focus group discussion were also used to explore the factors influencing AL performance.

A number of key findings presented. First, there is an emerging paradigm shift from offline auction to online auction. Robust and resilient AL are needed to fulfill the massive number of orders from different channels while considering dynamic decisions. Second, three-level decisions in AL have been explicitly classified and defined. Various mathematical techniques used in literature vis-à-vis the contexts of AL were mapped. Third, a coordination mechanism that dynamically balances trade-off between logistics efficiency and transaction price was discussed. Lastly, several opportunities for future research were distinguished with coherent connection of research domains and open questions.

This paper not only summaries key themes of current research dimensions, but also indicates existing deficiencies and potential research directions. The findings can be used as the basis for future research in PSCT and related topics.

This study aims to examine why cause‐related marketing (CRM) can develop, and how can the social system and enterprise link with nonprofit organization (NPO) to form a closed path to prompt the maximization for three parties' benefits, in order to provide a general framework to explore the mechanisms of power and action for CRM.

The logic deduction approach was used for an overview and conceptual paper based on research experience.

The paper stresses CRM should be a good marriage between a nonprofit and its sponsorship firm both organizations stand to benefit. Its mechanism of power is the result of the combined effect by the enterprise's push, NPO's pull and social system's supervision, and mechanism of action is under the social system's supervision, enterprise linked with NPO to form a closed path.

A major weakness is that the influences of CRM on the enterprise and the NPO are only explained qualitatively, there are short of some data to test the validity of theories above. Further, investigation into this construct in the context of CRM would be helpful in understanding what are the role and the impact of CRM on firm and NPO in this domain. The main implication is that, this study presents an example and direction of how the enterprise, NPO, and social system are able to maximize their economic and social benefits.

This study contributes to examine the inter mechanisms of CRM from the perspectives of enterprise and NPO. The findings of this study are useful to and provide managerial implications for administrators of enterprise, NPO and social system aiming to make optimal decisions under the dual driven of institutional rationality and economic rationality.

This paper aims to present an interior permanent magnet synchronous machine (IPMSM) with double-layer PMs used for electric vehicles, of which the integrated simulation of electromagnetic field, stress field and temperature field are analyzed.

Some electromagnetic characteristics including iron loss, efficiency and flux linkage are obtained by finite element analysis. The mechanical strength of rotor at the maximum speed and the temperature rise at the rated load are calculated by three-dimensional finite element analysis (FEA).

The results show that the presented IPMSM can work with sufficient mechanical strength, machine temperature rise and high efficiency during field-weakening operation. The experiments were carried out to verify the FEA, and acceptable results can be achieved.

This paper proposed a novel IPMSM with the double-layer permanent magnets, which is designed and checked by the multi-physics fields, and the high efficiency in all operational regions can be achieved for this machine.