Reviewerly/exHarmony huggingface dataset:
ANALYSIS OF MODERN EDUCATION PROGRAMS FOR STUDENTS OF SOCIAL PEDAGOGUES TO STUDY THE PROBLEMS OF CHILDREN IN UNSTABLE CONDITIONS OF SOCIETY

Social pedagogue – a specialist in the field of educa-tion who carries out professional activities in educa-tional institutions and social protection of the popula-tion. The child development and positive socialization are the targets in the implementation of social peda-gogue job functions, among which is one of the main socio-pedagogical support of students in the process of acquisition and internalization of social norms, behav-ior patterns, values of modern society. The implementa-tion of the principles of the competence approach in the higher education system involves the activation of ef-forts, coordination of the requirements and interests of subjects of educational relations in the context of ongo-ing changes. Among the main subjects of educational relations, we can distinguish the state, which acts as a regulator of the development and modernization of edu-cation, which is a social customer in relation to the re-sults of education and training; the professional com-munity, which expects competitive highly qualified per-sonnel in the labor market; the teaching staff of the University that implements the tasks of training special-ists; students and the parent community as consumers of educational services. The result of interaction between the subjects of the educational process is educational and professional standards that are the basis for de-signing the main professional educational programs of higher education and are designed to ensure the unity of the educational environment in a rapidly changing social environment. The purpose of this article is to present the results of the analysis of educational programs for students – social teachers depending on the requirements of professional and educational standards, as well as factors that char-acterize the instability of the modern social environ-ment, which creates new problems in the socialization of children.
A Novel QoS-Based Flexible Service Selection and Composition Model for Localizing the Wireless Sensor Nodes Using AHP

With the proliferation of service-oriented architectures (SOAs), a myriad of services are available to users. However, it is not pragmatic to employ trivial approaches for selecting a particular service from the available pool of services, particularly since employing a service implicitly entails subscribing to its benefits and shortcomings. This chapter presents a novel scheme for multi-criteria-based decision-making for service selection and composition. The proposed model is employed for selecting a localization service in a wireless sensor network (WSN). Localization of sensor nodes is an important phase of WSN deployment. Service selection and composition for localization are a challenging task, since the details of lower-level implementation-related information are not readily available to users. Additionally, runtime constraints are not very well understood, and even identification of quality of service (QoS) parameters for every given service is in itself a complex task. Therefore, this research work proposes a novel QoS-based flexible service selection and composition model that provides a platform for users to select the best possible service. A QoS-based taxonomy for the design goal, network, and application requirements is illustrated, and a mathematical formulation is presented using the analytical hierarchy process (AHP). The proposed framework is validated and tested based on given QoS parameters, and the results demonstrate the efficacy of the proposed method.
Modal clustering of matrix-variate data

The nonparametric formulation of density-based clustering, known as modal clustering, draws a correspondence between groups and the attraction domains of the modes of the density function underlying the data. Its probabilistic foundation allows for a natural, yet not trivial, generalization of the approach to the matrix-valued setting, increasingly widespread, for example, in longitudinal and multivariate spatio-temporal studies. In this work we introduce nonparametric estimators of matrix-variate distributions based on kernel methods, and analyze their asymptotic properties. Additionally, we propose a generalization of the mean-shift procedure for the identification of the modes of the estimated density. Given the intrinsic high dimensionality of matrix-variate data, we discuss some locally adaptive solutions to handle the problem. We test the procedure via extensive simulations, also with respect to some competitors, and illustrate its performance through two high-dimensional real data applications.
RoBERTa Word Embedding Based Power Grid Dispatching Entity Recognition

The recognition of entities is the basis of knowledge graph construction. Deep neural network models is currently the most effective and efficient way of entity recognition. Among them, a pop method is to apply the long short-term memory networks to model the reliance on sequences and use Conditional Random Field to model the dependencies of sequence outputs. However, due to the dense distribution of entities in current power grid corpus, problems such as low recognition accuracy and incorrect division of solid boundaries gradually arose in previous models. To address the issues, this paper propose an approach where the power grid corpus data is preprocessed based on the idea of RoBERTa and then train the word embedding model. The experimental results show that the results of word embedding model have practical potential
Fra én leksikalsk størrelse til mange forskellige paradigmer

We take as starting point that when lexical entities grammaticalize, they enter preexisting or new paradigms. Therefore, grammatical paradigms are important for the understanding of the reanalyses leading to grammaticalization. The lexical input that we will use to illustrate our point is the French verb voir ‘to see’, in order to show the pathway of multifunctional lexical item into grammar, i.e. into a number of individual paradigms. Our approach combines synchronic and diachronic investigations on electronic corpora. Each paradigm is based on synchronic paradigmatic analyses of functions that seem to be very ambiguous and diverse. We are convinced that paradigms provide a precise and relatively simple presentation of what otherwise would seem utterly diverse usages of a lexical entity.
Credibility Evaluation Method of Simulation System Based on Improved Evidence Theory

In order to solve the problem that it is difficult to evaluate the reliability of complex simulation system accurately, this paper proposes a credibility evaluation method of simulation system based on improved evidence theory. The method combines the advantages of the D-S (Dempster-Shafer) evidence theory and the fuzzy theory. Firstly, for dealing seriously with conflicting evidence when the Dempster combination result can not identify the actual conditions, the Jousselme distance is used to modify the conflicting evidence, and the reliability of evidence is taken as discount factor to correct the fusion rules. Then, the membership function is used to transform the experts' fuzzy comments into the belief function of evidence theory. Finally, all the evidences are fused by the modified evidence fusion rules to get the final credibility evaluation result of simulation system. The application example shows that this method can well reflect the credibility of complex simulation system, and the decision is more reliable and the uncertainty is small, which is a good supplement to the existing research and the method has certain theoretical and practical value.
Effect of the regularization parameter on image-guided filter

The guided filter is derived from a local linear model. It computes the filtering output by considering the content of a guidance image (self-image or reference image). The guided filter can be used as an edge-preserving smoothing operator that behaves better near edges. It can transfer the structures of the guidance image to the filtering output, enabling new filtering applications like dehazing and guided feathering. Moreover, the guided filter naturally has a fast and non-approximate linear time algorithm, regardless of the kernel size and the intensity range. Regularization parameter (ϵ) is one of the two important factors which determines the characteristics of the guided image applied to the input image i.e. it helps to perceive the degree of the edges of an image. In this paper, we will observe the effect of the regularization parameter on a guided filtered image.
The Effectiveness of Blended and Printed Learning Resources in Improving Science Learning Outcomes of Student Teachers at a Distance University

Learning resources are an essential factor that determines learning outcomes, especially elementary school teacher education program students in distance education. This study aims to compare the effectiveness of blended learning and printed learning resources in improving science learning outcomes for distance education students. This study is a true experiment conducted at the Universitas Terbuka (UT) regional office of Jember, as a representation of the East Java region. Respondents of the study were 56 students using blended learning resources and 60 students using printed learning resources. The data were collected using a test of student learning outcomes and analyzed using t-test and N-gain. The results show that both blended learning and printed learning resources significantly improved learning outcomes at α = 5%, each with an average N-gain having relatively the same products at moderate levels. This study also raises information that blended learning resources are more effective than printed learning resources. This study implies that blended learning resources can be used as an innovative solution to improve student learning outcomes in distance education systems.
Development Management and Project Management: Contrast or Complement?

The subject of this research is the process of developing software for automated control systems. The object of research is the means of organizing software development. A generally recognized promising direction for increasing the efficiency of the use of organizational and technical systems is the automation of their management. A significant share of the effectiveness of any complex technical system is provided by its software. This primarily applies to the application software. The development of application programs is fraught with certain difficulties, primarily of an organizational nature. The generalized analysis showed that in world practice there is a fairly wide range of tools for organizing the program development process. These tools are proposed to be divided into two large groups with respect to the attitude to the process and the degree of detail on "project management tools" and "development controls". Each of the tools is effective for certain conditions of software development. The review article analyzes the factors affecting the effectiveness of the use of a particular tool, synthesized proposals on the expediency of using various control systems in different conditions of the development process. The analysis showed that for the conditions of the development of applied software for automated decision support systems, the most effective is the integrated use of process control automation tools.
Augmented Reality as an ontological tool to access televised audiovisual information: Value for the journalist and for the viewer

A theoretical development is presented of the access to audiovisual content for both journalists and viewers through the Web. This access is possible through virtual platforms using an ontological tool that displays the content through Augmented Reality in such a way that the relationships between and accesses to different ontological levels are carried out using visual elements, determining their value prior to download. Ontological relationships are established between traditional elements indexed in the audiovisual departments of television channels: persons, topics, and places, as well as other elements deriving from them. A brief description is given of the ontologies and their relationship with what is audiovisual, as well as experiences on television with Augmented Reality. The originality of the paper lies in the absence of previously proposed or developed experiences by any of the mass media
Do Long-Term Foreign Currency Sovereign Credit Ratings Positively Affect Bond and Equity Market Efficiency in Africa

This study investigates the weak-form efficiency of long-term foreign currency denominated bonds and stocks in incorporating long-term foreign currency sovereign credit rating announcements in 19 African countries over the period of 1994 to 2014. The results of Ljung-Box Q autocorrelation, runs and variance ratio tests find that sovereign credit ratings do not significantly impact bond market efficiency. In contrast, stock markets show evidence of weak form efficiency implying that long-term sovereign credit ratings positively affect equities market efficiency in Africa.
Pengukuran Fungsionalitas, Kehandalan, Efisiensi, dan Kegunaan pada Pengembangan Sistem Informasi Pemesanan Tiket Wisata Online pada Lokal Wisata Hutan Pinus Limpakuwus Banyumas

Limpakuwus Village is in the Valley of Mount Slamet. It stretches from the top of the mountain towards the south to the border of Kotayasa Village, Sumbang District. In Limpakuwus village, there are several tourist attractions, one of which is the Limpakuwus Pine Forest. This tour is classified as a new tour, where all ticket sales systems are still not computerized. In making information systems, the author uses a prototype development method. The prototype method is used because it is faster and the user's needs can be precisely identified. The writer collected data for the first time, by directly observing the field, and conducting interviews. Then a prototyping system is made, then directly tested with potential users, namely the manager of the Limpakuwus pine forest. After the data obtained from the distribution of questionnaires, then the researcher wants to measure the prototype of this tour ticket booking information system in terms of usability, reliability, efficiency, and usability. And from the measurement results, it is known that the value of Functionality is 72%, Reliability is 74.3%, Efficiency is 75.6% and Usability is 74.3%.
Vision-based Autonomous Guidance Approach for a Nano Unmanned Aerial Vehicle Rotorcraft Towards Indoor Flight Environment

Autonomous flight remains a major challenge for Nano Unmanned Air Vehicles (NUAVs). This research presented a light-weight vision-based navigation system which is suitable for NUAV rotorcrafts with restrictively limited payload capacity and computing resources. A visual-inertia compensation approach was proposed to obtain accurate indoor navigation and guidance for the homemade NUAV which weighting less than 50 g. The proposed visual guidance algorithm have been successfully recognized targets such as windows, gates, and narrow-corridor with 25 Hz guidance command output. Flight experiments shown that the NUAV rotorcraft can follow the path planning to achieve autonomous flight, and guide through gates and windows within GPS-denied indoor environment.
A formalisation of LEGv8 in Agda

The LEGv8 architecture is a restricted representation of the ARMv8 architecture. In this paper, we present a formalisation of the LEGv8 architecture in Agda. We have modelled machine words, the processor state, and the semantics of the instruction set; we also include an assembler and disassembler with round-trip correctness. We explain how dependent types allow us to abstract away some repetitive definitions and drive the correctness proof of the assembler.
Reading Literacy Performances of State Senior High School Students in Ilir Barat I District as Measured by PISA Reading Literacy Test 2009 in English and Bahasa Indonesia

ABSTRACT This study was aimed to find out the descriptions of students’ PISA reading literacy performances in English and Bahasa Indonesia and whether or not there was a significant difference between students’ performance in PISA literacy reading test in English and Bahasa Indonesia. The population of this study was state senior high school students in Ilir Barat I district in Palembang and the sample of study was selected by using purposive sampling. PISA reading literacy 2009 tests written in Bahasa Indonesia and English were used to collect the data which were analyzed statistically by applying Descriptive Statistics and Independent Sample t-test. The result showed that the avarage scores of students’ PISA reading literacy test 2009 in Bahasa Indonesia and English were 39.18 and 24.86, respectively, suggesting they were far below from the standard of National Education in Indonesia (75.00). The result also showed that the students’ PISA reading literacy performance in Bahasa Indonesia was categorized in Level 3, and in English was Level 2. The Independent ttest showed that there was a significant difference between students’ performance in PISA reading literacy test in English and Bahasa Indonesia.
Improving Batch Performance when Migrating to Microservices with Chunking and Coroutines

When migrating enterprise software towards microservices, batch jobs are particularly sensitive to communication overhead introduced by the distributed nature of microservices. As it is not uncommon for a single batch job to process millions of data items, even an additional millisecond of overhead per item may lead to a significant increase in runtime.A common strategy for reducing the average overhead per item is called chunking, which means that individual requests for different data items are grouped into larger requests. However, chunking is difficult to integrate into existing batch jobs, which are traditionally executed sequentially.In this paper, we present a chunking approach based on coroutines, and investigate whether it can be used to mitigate the potential penalty to batch performance during migrations to microservices.
Formal concept attribute partial-order structure diagram and applications

Formal-Concept Attribute Partial-Order Structure Diagram (FC-APOSD) is proposed on the basis of formal concept analysis and Attribute Partial-Order Structure Diagram (APOSD) theory, which inherits the advantage of good visualisation of APOSD and can reveal relationships among formal concepts at the same time. This paper focuses on the mathematical description of FC-APOSD, how to use FC-APOSD to explore knowledge from a formal context and the applications of FC-APOSD. Specifically, our work mainly includes the following points: 1. FC-APOSD is described in mathematical formal language; 2. After giving a necessary and sufficient condition for an attribute set of a node to be the intension of a formal concept, a method to find pseudo-intensions using FC-APOSD is provided; 3. The relationship among objects is discussed using groups and subgroups in FC-APOSD; 4. A method to find exclusive attributes from a formal context is provided by using FC-APOSD; 5. With the help of classical Chinese medicinal formulae related to emotional diseases from 'Treatise on Febrile and Miscellaneous Diseases', the syndrome-treatment pattern of emotional diseases is explored using the FC-APOSD method.
Succinct Adaptive Manifold Transfer

Capturing the relatedness of different domains is a key challenge in transferring knowledge across domains. In this paper, we propose an effective and efficient Gaussian process (GP) modelling framework, mTGPmk, that can explicitly model domain relatedness and adaptively control the space as well as the strength of knowledge transfer. mTGPmk takes both the discrepancy of input feature space and the discrepancy of predictive function into account in the transfer procedure. Specifically, mTGPmk adaptively selects a good latent manifold shared by different domains, and utilizes a parametric similarity coefficient to measure the predictive function covariance of different domains in this manifold. The latent shared manifold and the similarity coefficient are jointly learned in a coupled manner. By doing so, mTGPmk maximizes the strength of the shared knowledge transfer by choosing the transfer space with the best transfer capacity. More importantly, mTGPmk exploits a succinct and computationally efficient manifold learning approach so that it can be well trained with scarce target training data. Extensive experimental studies using 36 synthetic transfer tasks and 10 real-world transfer tasks show the effectiveness of mTGPmk on capturing the relatedness and the transfer adaptiveness.
Resolving Clashing Norms Using Tiered Utility

There are times when norms clash in a given situation. One norm requires an agent to do X. Another requires an agent to not do X but to do Y or nothing (not X) instead. This paper describes a way to resolve clashes between norms using a concept of tiered utility that has the potential to be automated. Classical utility has polarity and magnitude. Tiered utility has polarity, magnitude and tiers. Tiers are used for lexicographic preference orderings that enable correct normative choices by robots.
FORMATION OF SOCIO-PSYCHOLOGICAL COMPETENCIES OF UNIVERSITY STUDENTS-A NECESSARY CONDITION FOR THEIR PROFESSIONAL DEVELOPMENT

The main factors of influence of development of social competence of students of RSU named after S.A. Esenin University of Ryazani (Russia) on formation and formation of their personality and specialists (bachelor 's degrees) in educational system are disclosed in this article. The concept of socio-psychological competence and adaptation of personality is considered. The influence of social competence on the success of the student 's educational and professional activity is carried out thanks to the realization of the gnostic, selective, reflexive, projective components of the educational system
Application of Artificial Intelligence Technology in Enterprise Management Reform

Abstract The essence of economic globalization refers to the integration of global market economy. Whether an enterprise can occupy a place in the future market economy, one of the decisive factors of enterprise management will be enterprise efficiency. Only by grasping the general trend of artificial intelligence technology in enterprise management reform can enterprises obtain sustainable development. Therefore, this paper studies the application of artificial intelligence technology in enterprise management reform. This paper mainly aims at the problems existing in the management of small and medium-sized enterprises, so as to introduce artificial intelligence technology, promote the management reform of small and medium-sized enterprises, and discuss the application of artificial intelligence technology in enterprise management reform. Through data investigation and analysis of the results, this paper puts forward the application and improvement strategy of artificial intelligence technology in enterprise management reform, which provides technical support for the development of enterprise management.