Spatiotemporal evolution rule of rocks fracture surrounding gob-side roadway with model experiments

A series of plane-strain physical model experiments are carried out to study the spatiotemporal evolution rule of rocks fracture surrounding gob-side roadway, which is subjected to the pressure induced by the mining process. The digital photogrammetry technology and large deformation analysis method are applied to measure the deformation and fracture of surrounding rocks. The experimental results indicate that the deformation and fracture of coal pillars are the cause to the instability and failure of the surrounding rocks. The spatiotemporal evolution rule of the rock deformation and fracture surrounding gob-side roadway is obtained. The coal pillar and the roof near coal pillar should be strengthened in support design. The engineering application results also can provide a useful guide that the combined support with wire meshes, beam, anchor bolt and cable is an effective method.

Improved Hybrid Differential Evolution-Estimation of Distribution Algorithm with Feasibility Rules for NLP/MINLP Engineering Optimization Problems

In this paper, an improved hybrid differential evolution-estimation of distribution algorithm (IHDE-EDA) is proposed for nonlinear programming (NLP) and mixed integer nonlinear programming (MINLP) models in engineering optimization fields. In order to improve the global searching ability and convergence speed, IHDE-EDA takes full advantage of differential information and global statistical information extracted respectively from differential evolution algorithm and annealing mechanism-embedded estimation of distribution algorithm. Moreover, the feasibility rules are used to handle constraints, which do not require additional parameters and can guide the population to the feasible region quickly. The effectiveness of hybridization mechanism of IHDE-EDA is first discussed, and then simulation and comparison based on three benchmark problems demonstrate the efficiency, accuracy and robustness of IHDE-EDA. Finally, optimization on an industrial-size scheduling of two-pipeline crude oil blending problem shows the practical applicability of IHDE-EDA.

Association Rule Analysis-Based Identification of Influential Users in the Social Media

The exchange of information is an innate and natural process that assist in content dispersal.Social networking sites emerge to enrich their users by providing the facility for sharing information and social interaction.The extensive adoption of social networking sites also resulted in user content generation.There are diverse research areas explored by the researchers to investigate the influence of social media on users and confirmed that social media sites have a significant impact on markets,politics and social life.Facebook is extensively used platform to share information,thoughts and opinions through posts and comments.The identification of influential users on the social web has grown as hot research field because of vast applications in diverse areas for instance political campaigns marketing,e-commerce,commercial and,etc.Prior research studies either uses linguistic content or graph-based representation of social network for the detection of influential users.In this article,we incorporate association rule mining algorithms to identify the top influential users through frequent patterns.The association rules have been computed using the standard evaluation measures such as support,confidence,lift,and conviction.To verify the results,we also involve conventional metrics for example accuracy,precision,recall and F1-measure according to the association rules perspective.The detailed experiments are carried out using the benchmark College-Msg dataset extracted by Facebook.The obtained results validate the quality and visibility of the proposed approach.The outcome of propose model verify that the association rule mining is able to generate rules to identify the temporal influential users on Facebook who are consistent on regular basis.The preparation of rule set help to create knowledge-based systems which are efficient and widely used in recent era for decision making to solve real-world problems.

Analyzing Customer Reviews on Social Media via Applying Association Rule

The rapid growth of the use of social media opens up new challenges and opportunities to analyze various aspects and patterns in communication.In-text mining,several techniques are available such as information clustering,extraction,summarization,classification.In this study,a text mining framework was presented which consists of 4 phases retrieving,processing,indexing,and mine association rule phase.It is applied by using the association rule mining technique to check the associated term with the Huawei P30 Pro phone.Customer reviews are extracted from many websites and Facebook groups,such as re-view.cnet.com,CNET.Facebook and amazon.com technology,where customers from all over the world placed their notes on cell phones.In this analysis,a total of 192 reviews of Huawei P30 Pro were collected to evaluate them by text mining techniques.The findings demonstrate that Huawei P30 Pro,has strong points such as the best safety,high-quality camera,battery that lasts more than 24 hours,and the processor is very fast.This paper aims to prove that text mining decreases human efforts by recognizing significant documents.This will lead to improving the awareness of customers to choose their products and at the same time sales managers also get to know what their products were accepted by customers suspended.

A Probe into the Issue of Socialist Rule of Law and the Reform of Legal System

The CPC Central Committee with Comrade Hu Jintao as the general secretary puts forward the new concept of socialist rule of law, which is the great ideological and theoretical achievement of China’s reform and opening up and socialist construction. From the concrete connotation, this article analyzes the formation of the socialist rule of law. The unique social and historical conditions, the progress of social civilization, the increasing public awareness of the rule of law, the pursuit and sublimation of the rule of law experience of the ruling party contributed to the establishment and development of the socialist concept of rule of law. At the same time, it is suggested that the rule of law should be popularized in the whole society, and the socialist rule of law can be transformed into the conscious action of the ruling party, state organs, social organizations and all citizens, so that the concept of socialist rule of law will truly attract and benefit the masses. The great practice of the people.

The Evolutionary Rules of Production System

The competition among modem enterprises has been converted from products to capability. As the basis of competition, production system can＇t win the market unless it takes advantage of its capability in competition. Here in this article, the evolutionary rules of production system contributing to the establishment, renovation, reform, invention and promotion of the production of modem enterprises are observed.

Studies on the impact of the evolution of Volleyball Rules upon technology and tactics

As it developed to today, Volleyball evolved from a game for the purpose of entertainment initially to a competitive Olympic sport. Through various periods of Volleyball development, we can find that when some old rules can not adapt to the volleyball development, it will lead to changes in the rules, it is this continuous improvement and change that inject vigor to volleyball and bring vitality, and promote the innovative development of volleyball skills and tactics, in turn the constant enrichment and development of volleyball skills and tactics required the game rules constantly revised and improved, as promoted and restricted each other, analysis of the mutual relationship between volleyball game rules and technology or tactics can not only in favor of volleyball skills, like evolving tactics, but also beneficial to volleyball competition rules maturity. Development of Volleyball Rules has been the inexhaustible power to development of sports project, researching of the competition rules has been recognized as a major breakthrough in the field of sports in various projects to promote sports development. Volleyball Rules - from the generated moment until today, has evolved many times. This evolution is not blind, random; it follows its inherent rule. A contest rule, which has a close relationship with the development of sports technology, are the basic norms and principles of sports game. They promote each other, while mutually restraint. Analysis of the relationship between volleyball competition rules and the technology or tactics, is not only conducive to the development of athletic skills, but also to the maturity of competition rules.

Evolution Rules and Spatial Features of Traditional Settlements in Fukou Xing Region

As one of the eight Taihang passes,Fukou Xing is located in the south of the Taihang Mountains and has been an important passage for Shanxi and Hebei in history.Taking traditional settlements in Fukou Xing Region as research object,using the Advanced Spaceborne Thermal Emission and Reflection Radiometer(ASTER) Global Digital Elevation Model(GDEM)(remote sensing measurement of elevation data) and GIS platform,this paper made a quantitative study on traditional settlement space in mountain environment of this region,and studied space parameters including elevation,terrain,aspect,and boundary,observed and summarized the spatial features.In addition,based on the local chronicles of Ming and Qing dynasties,it mutually verified the quantitative conclusions and qualitative cognition,analyzed the evolution rules of traditional settlements in Fukou Xing region,and finally obtained new understandings of spatial features of traditional settlements in Fukou Xing region.

Evolutions of the Ruled Surfaces via the Evolution of Their Directrix Using Quasi Frame along a Space Curve

In this paper, evolutions of ruled surfaces generated by the quasi normal and quasi binormal vector fields of space curve are presented. These evolutions of the ruled surfaces depend on the evolutions of their directrix using quasi frame along a space curve.

Autonomous Eyewitness Identification by Employing Linguistic Rules forDisaster Events

Social networking platforms provide a vital source for disseminating information across the globe,particularly in case of disaster.These platforms are great mean to find out the real account of the disaster.Twitter is an example of such platform,which has been extensively utilized by scientific community due to its unidirectional model.It is considered a challenging task to identify eyewitness tweets about the incident from the millions of tweets shared by twitter users.Research community has proposed diverse sets of techniques to identify eyewitness account.A recent state-of-the-art approach has proposed a comprehensive set of features to identify eyewitness account.However,this approach suffers some limitation.Firstly,automatically extracting the feature-words remains a perplexing task against each feature identified by the approach.Secondly,all identified features were not incorporated in the implementation.This paper has utilized the language structure,linguistics,and word relation to achieve automatic extraction of feature-words by creating grammar rules.Additionally,all identified features were implemented which were left out by the state-of-the-art model.A generic approach is taken to cover different types of disaster such as earthquakes,floods,hurricanes,and wildfires.The proposed approach was then evaluated for all disaster-types,including earthquakes,floods,hurricanes,and fire.Based on the static dictionary,the Zahra et al.approach was able to produce an F-Score value of 0.92 for Eyewitness identification in the earthquake category.The proposed approach secured F-Score values of 0.81 in the same category.This score can be considered as a significant score without using a static dictionary.

Evolving Decision Rules to Predict Investment Opportunities

This paper is motivated by the interest in finding significant movements in financial stock prices. However, when the number of profitable opportunities is scarce, the prediction of these cases is difficult. In a previous work, we have introduced evolving decision rules （EDR） to detect financial opportunities. The objective of EDR is to classify the minority class （positive eases） in imbalaneed environments. EDR provides a range of classifications to find the best balance between not making mistakes and not missing opportunities. The goals of this paper are： 1） to show that EDR produces a range of solutions to suit the investor＇s preferences and 2） to analyze the factors that benefit the performance of EDR. A series of experiments was performed. EDR was tested using a data set from the London Financial Market. To analyze the EDR behaviour, another experiment was carried out using three artificial data sets, whose solutions have different levels of complexity. Finally, an illustrative example was provided to show how a bigger collection of rules is able to classify more positive eases in imbalanced data sets. Experimental results show that： 1） EDR offers a range of solutions to fit the risk guidelines of different types of investors, and 2） a bigger collection of rules is able to classify more positive eases in imbalanced environments.

Modified Ramsey Rule, Optimal Carbon Tax and Economic Growth

In contrast to the overlapping-generations model, it is allowable to discount the future utility in a dynasty model without the ethical difficulty related to intergenerational conflicts. Much precedent research uses Ramsey-type optimal growth theory in order to estimate the social discount rate. However, one must note that almost all the formulations neglect the existence of negative intertemporal externalities. This problem is vital when one analyzes the global warming problem mainly caused by the excess concentration of carbon dioxide (CO2). This is because an adjoining effect of capital accumulation exists besides the improvement of product capacity, which is reflected in the rate of interest (or equivalently, the marginal productivity of capital). That is, one cannot neglect a negative externality to the future productivity that originates from the excess emissions of CO2. Accordingly, following the optimal growth theory, the effective social discount rate should be heightened by a proportional carbon tax to suppress future excess consumption/ emissions than in the case of the existing analyses, which exclude such an intertemporal external diseconomy.

Modified Ramsey Rule and Optimal Carbon Tax

The Ramsey rule is regarded as a convenient vehicle for estimating the social discount rate in general. Carbon pricing is treated as another theory of environmental economics. This study clarifies the theoretical relationship between the Ramsey rule and optimal carbon price, which has been overlooked in the existing research. It succeeds in deriving the optimal carbon price from the modified Ramsey rule in stationary state. Since the Ramsey rule decides the dynamics of an economy and a stationary state is its destination, by using the optimization condition of individual who are assumed to live infinitesimally short life, we can solve the optimal carbon price at stationary state.

Application of Association Rule Mining Theory in Sina Weibo

A user profile contains information about a user. A substantial effort has been made so as to understand users’ behavior through analyzing their profile data. Online social networks provide an enormous amount of such information for researchers. Sina Weibo, a Twitter-like microblogging platform, has achieved a great success in China although studies on it are still in an initial state. This paper aims to explore the relationships among different profile attributes in Sina Weibo. We use the techniques of association rule mining to identify the dependency among the attributes and we found that if a user’s posts are welcomed, he or she is more likely to have a large number of followers. Our results demonstrate how the relationships among the profile attributes are affected by a user’s verified type. We also put some efforts on data transformation and analyze the influence of the statistical properties of the data distribution on data discretization.

The Path Evolution for Chinese Modernization of the Rule of Law

The Communist Party of China(CPC)has created a new path for Chinese modernization and a new form of human civilization while leading the people in advancing a great social transformation.Chinese modernization of the rule of law is an integral part of this new path.With a high degree of historical initiative and consciousness,the CPC has solidly grasped the basic regularity of China's legaldevelopmenttbased on actual national conditions,and has successfully pioneered,upheld,and expanded Chinese modernization of the rule of law.Legal construction during the New-Democratic Revolution hasreflected theearly exploration of Chinese modernization of the rule of law.The development of the rule of law during the period of socialist revolution and construction has laid a preliminary foundation for the formation of Chinese modernization of the rule of law.The new great social transformation of reform and opening up has further promoted such modernization.The construction of a law-based China in the new era of socialism with Chinese characteristics marks a further expansion and deepening of modernization.Therefore,Chinese modernization of the rule of law is rooted in the Chinese land,conforms to the characteristics of China,and draws on the excellent achievements of the world's legal civilization.It encapsulates profoundhistorical,theoretical,and practical logic,and has created a new model of modernization of the rule of law in a civilized society.

The Basic Principles of Kin Sociality and Eusociality: Human Evolution

The paper posits that kin sociality and eusociality are derived from the handicap-care principles based on the need-based care to the handicappers from the caregivers for the self-interest of the caregivers. In this paper, handicap is defined as the difficulty to survive and reproduce independently. Kin sociality is derived from the childhood handicap-care principle where the children are the handicapped children who receive the care from the kin caregivers in the inclusive kin group to survive. The caregiver gives care for its self-interest to reproduce its gene. The individual’s gene of kin sociality contains the handicapped childhood and the caregiving adulthood. Eusociality is derived from the adulthood handicap-care principle where responsible adults are the handicapped adults who give care and receive care at the same time in the interdependent eusocial group to survive and reproduce its gene. Queen bees reproduce, but must receive care from worker bees that work but must rely on queen bees to reproduce. A caregiver gives care for its self-interest to survive and reproduce its gene. The individual’s gene of eusociality contains the handicapped childhood-adulthood and the caregiving adulthood. The chronological sequence of the sociality evolution is individual sociality without handicap, kin sociality with handicapped childhood, and eusociality with handicapped adulthood. Eusociality in humans is derived from bipedalism and the mixed habitat. The chronological sequence of the eusocial human evolution is 1) the eusocial early hominins with bipedalism and the mixed habitat, 2) the eusocial early Homo species with bipedalism, the larger brain, and the open habitat, 3) the eusocial late Homo species with bipedalism, the largest brain, and the unstable habitat, and 4) extended eusocial Homo sapiens with bipedalism, the shrinking brain, omnipresent imagination, and the harsh habitat. The omnipresence of imagination in human culture converts eusociality into extended eusociality with both perception and omnipresent imagination.

Socialism Based On Rule of Law

In April, the Ministry of Public Health announced the shutdown of the National Committee for Oral Health (NCOH). Corruption, it seems, has once again raised its ugly head. This organization, which is not an agency under the government, but has some government affiliation, allegedly has raked in millions of yuan in illegal profits for the past 18 years by making unauthorized approvals for oral health care products. It is widely believed that the situation involving NCOH reflects the lack of government credit management because of the loopholes in the overall system. Commenting on NCOH dissolution, Professor Li Shuguang from China University of Political Science and Law believes that, while to reform public service units within a short period of time is important, the final solution is to set up a system that is based on the rule of law.

Dynamic foraging strategy adaptation to heterogeneous environments contributes to social aggregation in snub-nosed monkeys

The dynamics of animal social structures are heavily influenced by environmental patterns of competition and cooperation.In folivorous colobine primates,prevailing theories suggest that larger group sizes should be favored in rainforests with a year-round abundance of food,thereby reducing feeding competition.Yet,paradoxically,larger groups are frequently found in high-altitude or high-latitude montane ecosystems characterized by a seasonal scarcity of leaves.This contradiction is posited to arise from cooperative benefits in heterogeneous environments.To investigate this hypothesis,we carried out a six-year field study on two neighboring groups of golden snub-nosed monkey(Rhinopithecus roxellana),a species representing the northernmost distribution of colobine primates.Results showed that the groups adjusted their movement and habitat selection in response to fluctuating climates and spatiotemporal variability of resources,indicative of a dynamic foraging strategy.Notably,during the cold,resource-scarce conditions in winter,the large group occupied food-rich habitats but did not exhibit significantly longer daily travel distances than the smaller neighboring group.Subsequently,we compiled an eco-behavioral dataset of 52 colobine species to explore their evolutionary trajectories.Analysis of this dataset suggested that the increase in group size may have evolved via home range expansion in response to the cold and heterogeneous climates found at higher altitudes or latitudes.Hence,we developed a multi-benefits framework to interpret the formation of larger groups by integrating environmental heterogeneity.In cold and diverse environments,even smaller groups require larger home ranges to meet their dynamic survival needs.The spatiotemporal distribution of high-quality resources within these expanded home ranges facilitates more frequent interactions between groups,thereby encouraging social aggregation into larger groups.This process enhances the benefits of collaborative actions and reproductive opportunities,while simultaneously optimizing travel costs through a dynamic foraging strategy.

A Genetic-Algorithm-Based Information Evolution Model for Social Networks

the existing information diffusion models focus on analyzing the spatial distribution of certain pieces of messages in social networks. However, these conventional models ignored another important characteristic of diffusion: gradually changing of message contents due to the ‘new' and ‘comment' mechanisms. A novel genetic-algorithm-based information evolution model is proposed to reproduce both the diffusion and development process of information in social networks. This model firstly proposes a five-tuple to represent three types of topics: independent, competitive and mutually exclusive. Furthermore, it adopts mutation operator and forms new crossover and mutation rules to simulate four typical interactions between individuals, which bring the advantage of reproducing the information evolution process in both popularity and content.A series of experiments tested on public datasets demonstrate that: 1) independent and competitive topics of information rarely affect each other while mutually exclusive topics significantly suppress the diffusion processes of each other; 2) lower mutation probability leads to decreasing of final information amount. The experimental results show that our evolution model is more reasonable and feasible in demonstrating the evolution of information in social networks.