Embedding Hierarchical Structures for Venue Category Representation

Venue categories used in location-based social networks often exhibit a hierarchical structure, together with the category sequences derived from users’ check-ins. The two data modalities provide a wealth of information for us to capture the semantic relationships between those categories. To understand the venue semantics, existing methods usually embed venue categories into low-dimensional spaces by modeling the linear context (i.e., the positional neighbors of the given category) in check-in sequences. However, the hierarchical structure of venue categories, which inherently encodes the relationships between categories, is largely untapped. In this article, we propose a venue C ategory E mbedding M odel named Hier-CEM , which generates a latent representation for each venue category by embedding the Hier archical structure of categories and utilizing multiple types of context. Specifically, we investigate two kinds of hierarchical context based on any given venue category hierarchy and show how to model them together with the linear context collaboratively. We apply Hier-CEM to three tasks on two real check-in datasets collected from Foursquare. Experimental results show that Hier-CEM is better at capturing both semantic and sequential information inherent in venues than state-of-the-art embedding methods.

Current Approaches, Typologies and Predictors of Deviant Work Behaviors: A Scoping Review of Reviews

This study provides a scoping review of the recent conceptual developments about the deviant work behavior and counterproductive work behavior constructs. It also examines the specific types of deviant work behavior that have been more consistently investigated in the last decade, and whether they cover the interpersonal or organizational type of deviant behavior. In addition, individual, group, and organizational predictors of deviant work behaviors are examined. A scoping review of reviews was conducted on Scopus and Web of Science databases and 54 studies published from 2010 to June 2021 were taken into account. Results show that more recent conceptualizations are based on well established models in the literature and consider the hierarchical structure of these two constructs. Recent reviews examine the relationships of deviant work behavior with job performance and ethical behavior constructs, the multilevel nature of deviant work behavior, and the consequences for the actor of the deviance. The specific types of deviant work behavior more frequently reviewed in the last decade are workplace abuse, incivility, ostracism, bullying and sexual harassment, and abusive and destructive leadership; this evidence suggests a much greater attention to interpersonal, rather than organizational, forms of deviant work behavior. Regarding antecedents, results show the continuing prevalence of personality factors antecedents. Limitations of the study and theoretical and practical implications for the field are also provided.

IPC Prediction of Patent Documents Using Neural Network with Attention for Hierarchical Structure

International patent classifications (IPCs) are assigned to patent documents; however, since the procedure for assigning classifications is manually done by the patent examiner, it takes a lot of time and effort to select some IPCs from about 70,000 IPCs. Hence, some research has been conducted on patent classification with machine learning. However, patent documents are very voluminous, and learning with all the claims (the part describing the content of the patent) as input would run out of the necessary memory. Therefore, most of the existing methods learn by excluding some information, such as using only the first claim as input. In this study, we propose a model that considers the contents of all claims by extracting important information for input. We also propose a new decoder that considers the hierarchical structure of the IPC. Finally, we evaluate the model using an evaluation index that assumes the actual use of IPC selection for patent documents.

Exploring the Spatiotemporal Evolution and Sustainable Driving Factors of Information Flow Network: A Public Search Attention Perspective

The promotion of information flow reinforces the interactive cooperation and evolutionary process among cities. In the information age, public online search is a typical behavior of Internet society, which is the key to information flow generation and agglomeration. In this study, we attempt to explore the evolutionary characteristics of intercity networks driven by public online social behavior in the information age and construct an information flow network (IFN) from the perspective of public search attention. We also explore the evolution of the IFN in terms of the whole network, node hierarchy, and subgroup aggregation. Meanwhile, we also discuss the impact of the sustainable driving factors on the IFN. Finally, an empirical study was conducted in Guanzhong Plain Urban Agglomeration (GPUA). Our results show that: (1) the information flow in GPUA fluctuating upward in the early study period and gradually decreasing in the later study period. However, the agglomeration degree of information flow in the urban agglomeration continues to increase. (2) The hierarchical structure of urban nodes in GPUA presents a trend of “high in the middle and low on both sides”, and the formation of subgroups is closely related to geographic location. (3) The driving factors all impacting the IFN include public ecology, resource investment, information infrastructure, and economic foundation. This study provides theoretical and practical support for exploring the intercity network and promotes the sustainable urban development.

Research on maintenance method of relay protection state based on combination weight and gray relation

Relatively independent evaluation parameters are selected from many parameters through pedigree clustering.Learning the analytic hierarchy process (ahp) and entropy weight method can determine the weight, and at the same time to understand the error of the analytic hierarchy process (ahp) and entropy weight method is large, so the combination of the subjective and objective weight obtained by the two methods, using the improved entropy weight-ahp method to determine the weight. The improved weight calculation method has a clear hierarchical structure, which not only considers the influence of subjective and objective factors, but also makes full use of the weight information in the hierarchical structure. Considering the uncertainty of information, gray relation is adopted to deal with the data, so as to make maintenance rules.

To the question of modernity and corresponding representations of subjectivity: “dividual” and social organizations

This article is part of the extensive research of value characteristics of IT community and their potential for innovative development. In view of this, the author examines the problem of determination of the modern cultural situation and, as a result, deduction of the criterion that establishes what “modern” is. Based on the previously acquired conclusions (according to which, such criterion is the consideration of irreducible multiplicity, and the major risk is the loss of autonomy by individuals), the author aims to find the model of subjectivity that would be simultaneously multiple and autonomous. The search for the model that meets such criterion is carried out through referring to the control technologies developed within the framework of third-order cybernetics. The novelty of this article consists in peculiarity of the approach towards solution of the set task: the question in the form and method of determination of modernity has been first raised and  solved within the framework of the Russian academic philosophical community at  the previous stage of research, which determines the relevance at the current stage as well. Comparison of the developments of Russian and foreign authors reveals the parallelism between the development of cybernetics and psychoanalysis; demonstrates the conceptual intersections of the third-order cybernetics and schizoanalysis; establishes the conformity between the subjectivity of the individual and the type of organizations they are engaged in. The article offers the concept of “dividual” as a model suitable for solution of the set task. The conclusions is made that the existing potential of the IT community for modernization is neutralized in the context of transition towards the hierarchical structure of the organization.

СОЦІАЛЬНА ВІДПОВІДАЛЬНІСТЬ ЗАКЛАДІВ ВИЩОЇ ОСВІТИ ЯК ЧИННИК РОЗВИТКУ В УМОВАХ СТРУКТУРНО-ІННОВАЦІЙНИХ ПЕРЕТВОРЕНЬ

A special research focus is put on the critical need to adapt performance of higher education institutions to the specifics of global-institutional transformations associated in the first place with modern economic development trends. The core of any higher education institution activities relies upon the readiness of society to develop this kind of activity. To gain strong public support, universities should perform certain social activities (community project funding, provide social protection for employees, caring for the environment, etc.), along with informing society about such activities, thus emphasizing their importance. The research hypothesis is represented by a statement that institutionalization of social responsibility of higher education institutions should be transformed into a process of formalization of socioeconomic relationships which are characterized by a gradual transition from informal links and chaotic (unorganized) interactions between universities to formalized relationship patterns with a clearly organized structure, hierarchy and a regulatory framework. The purpose of this study is to determine the role of social responsibility of higher education institutions as a powerful driver in boosting structural innovative transformations. To attain the objectives set, the following research methods have been employed: an evolutionary method, historical and systemic approach, analysis and synthesis, induction and deduction techniques – to render explicit concept definitions; an institutional approach – to enhance the hierarchical structure and content of the elements of social responsibility of higher educational institutions. The findings have revealed the nature of the institutional approach and the specifics of its application to explore social responsibility of higher education institutions. In addition, an improved hierarchy and the content of social responsibility structural elements have been suggested for higher education institutions. It is argued that the developed principles of the hierarchical structure of social responsibility of higher education institutions will contribute to shaping robust behavioural patterns within the innovative educational paradigm that meet the demands of all stakeholders in the higher education system.

On the Relationship between Corneal Biomechanics, Macrostructure, and Optical Properties

Optical properties of the cornea are responsible for correct vision; the ultrastructure allows optical transparency, and the biomechanical properties govern the shape, elasticity, or stiffness of the cornea, affecting ocular integrity and intraocular pressure. Therefore, the optical aberrations, corneal transparency, structure, and biomechanics play a fundamental role in the optical quality of human vision, ocular health, and refractive surgery outcomes. However, the inter-relationships of those properties are not yet reported at a macroscopic scale within the hierarchical structure of the cornea. This work explores the relationships between the biomechanics, structure, and optical properties (corneal aberrations and optical density) at a macro-structural level of the cornea through dual Placido–Scheimpflug imaging and air-puff tonometry systems in a healthy young adult population. Results showed correlation between optical transparency, corneal macrostructure, and biomechanics, whereas corneal aberrations and in particular spherical terms remained independent. A compensation mechanism for the spherical aberration is proposed through corneal shape and biomechanics.

Extended Hierarchical Fuzzy Interpreted Petri Net

Petri nets (PNs) have many advantages such as graphical representation, formal description, and the possibility of sequential and concurrent control. An important aspect of using PNs is hierarchical modeling, which may be provided in different ways. In this paper, a new concept and definition of the hierarchical structure for Fuzzy Interpreted Petri Net (FIPN) are proposed. The concept of macroplace with several input, output, and input-output places is introduced to the net. The functionality of the macroplace instances and the hierarchy graph are also proposed. They are implemented in a computer simulator called HFIPN-SML. In this study, FIPN is employed since it allows the use of analogue sensors directly for process control. Better visualization and more precise control are among advantages of the introduced approach.

Power laws from the bird species abundance distribution

A recent study found that bird species with fewer individuals are abundant, but large species are rare. We show that this new data strongly suggests a power-law distribution rather than the most accepted log-normal. Moreover, we discuss extinction risk across the bird phylogeny and future conservation efforts by profiting from the hierarchical structure revealed by the new data.