Weak optimal inverse problems of interval linear programming based on KKT conditions

In this paper,weak optimal inverse problems of interval linear programming(IvLP)are studied based on KKT conditions.Firstly,the problem is precisely defined.Specifically,by adjusting the minimum change of the current cost coefficient,a given weak solution can become optimal.Then,an equivalent characterization of weak optimal inverse IvLP problems is obtained.Finally,the problem is simplified without adjusting the cost coefficient of null variable.

Strengthening Mechanisms to Promote Tourists' Environmental Responsible Behaviors in the Context of All-for-One Tourism

The overall promotion of all-for-one tourism requires tourists' civilized behaviors. This paper focused on tourists' environmental responsible behaviors in the context of all-for-one tourism. On the basis of clarifying the connotation, dimension and driving factors of tourists' environmental responsible behaviors, this paper firstly analyzed the relationship between all-for-one tourism and tourists' environmental responsible behaviors, and proposed that the development of all-for-one tourism was an important path to optimize and upgrade China's tourism industry and a new concept of sustainable development of tourism industry. The emergence of all-for-one tourism has formed a new tourism trend, which will drive tourists to behave more civilly. Tourists' environmental responsible behaviors are a "subject and share" concept, and from tourists' point of view, all-for-one tourism development is the most basic requirement. Secondly, based on the theory of "value-belief-norm", this paper focused on the strengthening mechanism of "interaction effect" between all-for-one tourism and tourists' environmental responsible behaviors, and put forward the idea of "double internalization strengthening" to guide tourists' environmental responsible behaviors from being passive to active, from individuals to groups. Finally, this paper discussed the promotion of environmental responsible behaviors of tourist's specific strategies from two aspects, "external drive" and "internal drive" to enhance the level of all-for-one tourism construction and strengthen the environment responsibility of tourists. "External drives" were as follows:(1) to make a scientific development plan to implement the "host and guest sharing" mechanism;(2) to optimize the landscape, the environment, services, enhance the local attachment of visitors;(3) to improve the infrastructure system, pay attention to the details of visitors' experience;(4) to strengthen environment education and publicity, deepening the quality of tourists' civilization construction, and strengthen the environmental responsible behaviors of tourists. "Internal drives" were as follows:(1) to strengthen the sense of environmental responsibility of tourists;(2) to establish a model of environmental responsible behaviors;(3) to strengthen the supervision of environmental responsible behaviors.

Teaching Practice Communities in Higher Education:Roles and Strategies

In view of the problem of lacking peer coaching among college teachers,taking teachers in local universities in Hangzhou as the research subject,the paper analyzes the relationship between peer coaching and teachers’professional development.The paper then proposes to establish teaching practice communities in higher education,which is of great significance to improve the teaching quality and promote the professional development of university teachers.Strategies for constructing teaching practice communities are also discussed.

Mobile Content Distribution with Vehicular Cloud in Urban VANETs

Plenty of multimedia contents such as traffic images, surveillance video, music and movie will flood into vehicular ad hoc networks. However, content distribution over VANETs is not a easy task, due to the high mobility of vehicles and intermittent connectivity. Infrastructure-based scheme can relieve the problem, but with a large amount of investment. In this paper, we propose a mobile content distribution scheme based on roadside parking cloud(RPC), which is formed by the parked car on the roadside, and mobile cloud(MC), which is formed by moving cars on the road. According to a trip history model, a mobile car can estimate its following trajectory. When it wants to download the content, gateway node of the RPC will work out a downloading schedule, which tells it how much chunks it can download from which RPCs. Moreover, the helper of the mobile car in mobile cloud would deliver specified chunks to it when there is lack of RPC in the following trip. Simulation results show that cloud-based scheme performs better than inter-vehicle communication approach and cluster-based scheme.

Competitive and Collaborative Influence in Social Networks

We consider revenue maximization in viral marketing of competitive and collaborative products through social networks,focusing on the word-of-mouth effect on personal decisions in adopting products,technologies,or Internet applications.In our model,each advertiser submits its value per consumer,and its total budget.The publisher pays a selected set of users on social networks as seed nodes.It demands a payment(equal to its value)from an advertiser for each influenced node in social networks.The publisher’s revenue equals to the total payment from the influenced usersminus its cost of seed nodes.In this paper,we study the efficient allocation problem of the publisher to maximize its revenue.Our work is motivated by recent extensive studies on influence models for social networks.It has been noted that the promoted products could either be competitive or complementary such as Kindle versusNook e-reader or Kindle cover with Kindle,respectively.Our models evaluate the revenue/cost effect of marketing those types of products through a social network,focusing on the issues of revenue maximization and complementary and competitive effects of products on each other.We take the algorithmic complexity approach for revenue maximization under those models and prove NP-hardness,non-approximability results for general structures,and polynomial time algorithms and applications for special classes of networks.

Model Averaging Multistep Prediction in an Infinite Order Autoregressive Process

The key issue in the frequentist model averaging is the choice of weights.In this paper,the authors advocate an asymptotic framework of mean-squared prediction error(MSPE)and develop a model averaging criterion for multistep prediction in an infinite order autoregressive(AR(∞))process.Under the assumption that the order of the candidate model is bounded,this criterion is proved to be asymptotically optimal,in the sense of achieving the lowest out of sample MSPE for the samerealization prediction.Simulations and real data analysis further demonstrate the effectiveness and the efficiency of the theoretical results.

Carbon accounting system:the bridge between carbon governance and carbon performance in Malaysian Companies

Introduction:Research has shown the negative impacts of climate change on the economy and how the state of the environment has been a complex global challenge.Prior studies have suggested immediate actions to avoid any unforeseen circumstances for all living things on Earth.Previous research has also supported all kinds of sustainability efforts as resolutions to address the deterioration of climate change caused by business activities.Originality:There is a need for companies to start acting and assigning employees to mitigate carbon emitted by corporations.This study is motivated by the lack of empirical evidence that examines how corporate carbon governance influences better carbon performance of organizations and authorizes organizations to implement and embed carbon accounting.Objective:This study used evidence from Malaysia to explore this subject matter and examined the association between carbon governance and carbon performance of corporations.The research also investigated the mediation effect of carbon accounting with respect to carbon governance and carbon performance.Findings:It is revealed that carbon governance had no significant influence on an organization’s carbon performance although carbon accounting implementation positively influenced carbon performance.The findings imply that despite its insignificance,carbon accounting remains a vital matter to be deployed by organizations for better carbon emission mitigation.