On the parameters of extended primitive cyclic codes and the related designs

Very recently, Heng et al. studied a family of extended primitive cyclic codes. It was shown that the supports of all codewords with any fixed nonzero Hamming weight of this code supporting 2-designs. In this paper, we study this family of extended primitive cyclic codes in more details. The weight distribution is determined. The parameters of the related $2$-designs are also given. Moreover, we prove that the codewords with minimum Hamming weight supporting 3-designs, which gives an affirmative solution to Heng's conjecture

The Restrictive Factors and Practical Path of Sports-Medical Integration Under the Background of COVID-19 Pandemic

This paper explored the restrictive factors of realizing the integration of sports and medicine in China under the background of “COVID-19 pandemic” and analyzed the path of realizing the integration of sports and medicine by combining it with “Healthy China” strategy and “National Fitness Program”. We used document and expert interview method. In the new era, people’s desire for a better life has become the most extensive demand, and the sudden outbreak of epidemic makes people’s demand for health become the first demand. The importance of people’s health raises “Healthy China” as the national development strategy, which has become the opportunities to realize the “integration of sports and medicine”. At present, China has formed three “sports-medical integration” models: the combination of the government and the market, the fitness guidance center of the hospital and the physique monitoring center of the community. Among them, the model of community physique monitoring center is in line with China\u27s national conditions, but the development of this model still needs policy and financial support. At present, China’s “integration of sports and medicine” is still facing a few challenges: a) The conceptual understanding remains weak while the belief to medical treatment and negligence of sports is strong; b) There is lack of standards of sports knowledge and skills, so it is difficult to reach a consensus; c) The sports and medicine industry has a low level of integration and lacks an integrated environment. The impact of the COVID-19 pandemic is not only a challenge but also an opportunity to realize the integration of sports and medicine. At present, with the support of national strategy, “integration of sports and medicine” is in the best historical development opportunity. At the same time, however, it also faces a series of contradictions. In this regard, it is necessary to deepen the essence of the two to carry out conceptual innovation and enhance the national recognition of the functional value of “sports-medicine integration”. Strategies include cooperating with sports medicine institutions to build a service platform, strengthening the integration of sports and medicine disciplines while building a qualification certification system and cultivating comprehensive talents, and improving the environment of “integration of sports and medicine” with building the foundation of harmonious symbiosis

Determinants of the competitive advantage of dairy supply chains: Evidence from the Chinese dairy industry

In this study, we use an evidence-based approach to examine the factors that determine the competitive advantage of dairy supply chains using evidence from the Chinese dairy industry. We focus on the quality assurance of dairy products, which is considered one of the fundamental influential factors. We investigate interrelationships among the identified determinants, which include dairy production behavior, dairy cow culture model, government regulations, corporate social responsibility, and quality assurance, and examine how these determinants influence the competitive advantage of dairy supply chains. We employ the structural equation modeling approach in which grouped observable variables that represent the identified determinants are extrapolated from primary data collected through a questionnaire survey. Our key findings show that by mediating the effects of dairy production behavior and the dairy cow culture model, government regulation and corporate social responsibility significantly affect the quality assurance of dairy products. In turn, dairy production behavior and the dairy cow culture model significantly affect the competitive advantage of the dairy supply chain via the fully mediated effects of the quality assurance of dairy products. Specifically, the dairy cow culture model helps ensure the safety and quality of milk supply, allowing core dairy firms to control product quality throughout the dairy supply chain. Our empirical study shows that the identified determinants interact to assure the quality of dairy products and enhance the competitive advantage of the dairy supply chain in China

A framework of human–robot coordination based on game theory and policy iteration

In this paper, we propose a framework to analyze the interactive behaviors of human and robot in physical interactions. Game theory is employed to describe the system under study, and policy iteration is adopted to provide a solution of Nash equilibrium. The human’s control objective is estimated based on the measured interaction force, and it is used to adapt the robot’s objective such that human-robot coordination can be achieved. The validity of the proposed method is verified through a rigorous proof and experimental studies

Reinforcement learning for human-robot shared control

This paper aims at proposing a general framework of shared control for human-robot interaction. Human dynamics are considered in analysis of the coupled human-robot system. Motion intentions of both human and robot are taken into account in the control objective of the robot. Reinforcement learning is developed to achieve the control objective subject to unknown dynamics of human and robot. The closed-loop system performance is discussed through a rigorous proof. Simulations are conducted to demonstrate the learning capability of the proposed method and its feasibility in handling various situations. Compared to existing works, the proposed framework combines motion intentions of both human and robot in a human-robot shared control system, without the requirement of the knowledge of humans and robots dynamics

Oligopoly in grain production and consumption: an empirical study on soybean international trade in China

What has been neglected in much of the existing studies of the influence of seasonal and regional characteristics of agriculture on the market power and national security. This paper constructs a multivariate equations model to investigate the monopoly power of seasonal suppliers and national security in China’s soybean market. The results show no relationship between market share and monopoly power; and that CR3 and HHI show China’s soybean import market has been the highest oligopoly type, but the model suggest that exporters (the U.S., Brazil and Argentina) have very weak monopoly power and China has no monopsony power; and that the performance of some exporters’ soybeans is affected by others, while others are relatively independent in market. This is due to the non-substitutability of the product, the non-substitutability of the buyer and the seller, etc., which causes the mutual dependence of the seller and buyer, and their market power cancel each other out. The seasonality and regionality of soybean production is the root. Considering national security, it is necessary to take the seasonal and regional characteristics of exporters into account to disperse trade risks and oppose monopolisation of international food production and trad

Adaptive optimal control for coordination in physical human-robot interaction

In this paper, a role adaptation method is developed for human-robot collaboration based on game theory. This role adaptation is engaged whenever the interaction force changes, causing the proportion of control sharing between human and robot to vary. In one boundary condition, the robot takes full control of the system when there is no human intervention. In the other boundary condition, it becomes a follower when the human exhibits strong intention to lead the task. Experimental results show that the proposed method yields better overall performance than fixed-role interactions

Improving human-robot interactivity for tele-operated industrial and service robot applications

In industrial robotics applications, teach pendant has been widely used by human operators to pre-define action trajectories for robot manipulators to execute as primitives. This hard-coding approach is only good for low-mix-highvolume jobs with sparse trajectory way-points. In this paper, we present a novel industrial robotic system designed for applications where human-robot interaction is key for efficient execution of actions such as high-mix-low-volume jobs. The proposed system comprises a robot manipulator that controls a tool (such as a soldering iron) to interact with the required workpiece, a networking server for remote tele-operation, and an integrated user interface that allows the human operator to better perceive the remote operation and to execute actions with greater ease. A user study is conducted to understand the merits of the proposed system. Results indicate that human can operate the system with ease and complete tasks more quickly and that the system can improve application efficiency