Reviewerly/exHarmony huggingface dataset:
INTEGRACIÓN CURRICULAR DE LAS TIC EN LA UNIVERSIDAD VERACRUZANA, EL CASO DE DOS DISCIPLINAS ACADÉMICAS (ICT CURRICULUM INTEGRATION IN THE UNIVERSIDAD VERACRUZANA, THE CASE OF TWO ACADEMIC DISCIPLINES)

En este documento se presentan algunos resultados de un proyecto de investigacion doctoral en el que se analizo la integracion curricular de las Tecnologias de la Informacion y de la Comunicacion (TIC) que lleva a cabo un grupo de profesores que imparten clases de nivel licenciatura en una universidad publica mexicana. En un primer momento se procuro identificar y describir los procesos de integracion curricular de las TIC que seis profesores universitarios realizan, para despues caracterizarla, considerando finalmente que en caso de existir ciertos tipos de integracion se determine si es posible explicarlos segun la disciplina academica de adscripcion y del Grado de Apropiacion Tecnologica (GAT) de los profesores. Cabe senalar que la estrategia metodologica planteada para acercarse a la perspectiva de los actores sobre la realidad social fue el estudio de casos. Por ultimo, debe indicarse que para seleccionar los casos a estudiar se empleo un diseno de replicacion tanto literal o directa (al interior de los grupos) como teorica (entre grupos), utilizando los agrupamientos academicos disciplinares clasicos planteados por Becher [2001] y el GAT de los profesores participantes. Abstract This document presents some results of a research project that analyze the Information and Communication Technologies (ICT) curriculum integration, carried out by a group of professors who teach undergraduate level in a Mexican public university. Initially, it was attempted to identify and describe the processes of ICT curricular integration that six university professors carry out, and then characterize them, in the end considering there are certain types of integration, it is determined whether it is possible to explain them according to the academic discipline of ascription and the Degree of Technological Appropriation (GAT) of the teachers. It should be noted that the methodological strategy proposed to approach the actors' perspective on social reality was the case study, considered as the main method, in which, in essence, data from different methods is accumulated. Finally, it should be emphasized that in order to select the cases to be studied, a replication design was used, both literal or direct (within groups) and theoretical (between groups), using the classic academic disciplinary groupings proposed by Tony Becher [2001] and the GAT of the participating teachers. Keywords : academic disciplines, digital divide, digital teaching knowledge, technological appropriation.
Estimation of Non-Normalized Mixture Models and Clustering Using Deep Representation

We develop a general method for estimating a finite mixture of non-normalized models. Here, a non-normalized model is defined to be a parametric distribution with an intractable normalization constant. Existing methods for estimating non-normalized models without computing the normalization constant are not applicable to mixture models because they contain more than one intractable normalization constant. The proposed method is derived by extending noise contrastive estimation (NCE), which estimates non-normalized models by discriminating between the observed data and some artificially generated noise. We also propose an extension of NCE with multiple noise distributions. Then, based on the observation that conventional classification learning with neural networks is implicitly assuming an exponential family as a generative model, we introduce a method for clustering unlabeled data by estimating a finite mixture of distributions in an exponential family. Estimation of this mixture model is attained by the proposed extensions of NCE where the training data of neural networks are used as noise. Thus, the proposed method provides a probabilistically principled clustering method that is able to utilize a deep representation. Application to image clustering using a deep neural network gives promising results.
Utilizamos la fracción como operador en la resolución de problemas de la vida cotidiana

The entitled learning session: Using the fraction as an operator in problem solving about daily life” has a student population of sixth grade primary education from N°80014 “Juan Pablo II” institution in the city of Trujillo in 2019, in which, all the activities and strategies are given to make students comprehend about complex themes such as fractions, starting with the relationships between data and actions to divide one or more units in equal parts.The overall objective of this learning session is that the student learns solving problems using the fraction as an operator. Also, develop the reasoning, creativity, and the critical thinking to promote a meaningful learning.During the development of the strategies, it is pretended waking up students’ interest and motivation at an all times, because mathematics is very important in daily life and the correct use of fractions will strengthen their autonomy and assurance in real contexts, from which students develop math skills.
Development of the Application for Diploma Authenticity Using the Blockchain Technology

Global digitalization of society implies the availability of information, as well as verification of its authenticity from anywhere in the world. Providing digital diplomas. the analogue of paper ones, is an actual task. In the current paper the step-by-step development of an application for authentication of diplomas using blockchain technology is considered. Also the concept, structures and operation mechanism of the blockchain are described.
Introduction

This chapter introduces the core concept of the book. Specifically, the premise of the book is that a focus on developmental milestones has limited our understanding of change, and that we will gain more insight about change by thinking about developmental cascades. The term <italic>development</italic> is defined, and the key tenants of the cascade approach are presented. These are: (a) All developmental change reflects the use of multiple mechanisms; (b) the mechanisms of any specific developmental change operate at many levels involving sensation, perception, and cognition, and (c) the emergence of any behavior or milestone represents one point in an ongoing developmental cascade.
What does the Nom say? An algorithm for case disambiguation in Hungarian

In this paper, we present our algorithm called nom-or-not designed for dissolving case-disambiguation in Hungarian.By case, we mean an abstract syntactic case, a kind of syntactic role of the given token.Nouns and proper names, adjectives, participles and numerals without a case suffix are always tagged as Nom, although the lack of case ending may represent various functions: it may mark the subject of the sentence or a possessor or the nominal part of a nominal predicate or the vocative case; on top of that, a modifier of a nominal or a nominal combined with a postposition lacks a case suffix as well; proper names consisting of two or more elements are also caseless.Our algorithm is motivated by the needs of a psycholinguistically motivated parser which aims to process sentences from left to right.Therefore, our case disambiguator follows the basic principles of the parser and analyses the sentences from left to right, always making a decision based on the information of the previously processed elements and the elements in a two token wide look-ahead parsing window.Our preliminary results show that if some modifications and new rules are added and it's run on a more precisely annotated corpus, it can improve the disambiguator algorithm.
Game and Technology Co. v. Activision Blizzard – a look at how inter partes reviews change the game in patent suits

A June 2019 appellate decision marked the end of the patent assertion by Game and Technology Co. (GAT) against Activision Blizzard and Riot Games. 1 The patents at issue related to equipping virtual avatars with game items. Activision Blizzard was able to successfully invalidate the patent through inter partes review (IPR) proceedings at the US Patent and Trademark Office. This case illustrates the important role that IPRs play in US patent litigation, as well as the double-edged sword of obtaining very broad patent claims. The article walks through the history of the assertion, the invalidity arguments at the USPTO, and the final decision on appeal to the Federal Circuit, and discusses how IPRs may provide an effective response to patent assertions in the US.
ROBOPRAX – TEACHING AND LEARNING WITH HUMANOID ROBOTS

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 918-925ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0287Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
USING A DIGITAL SIMULATION TO APPROXIMATE TEACHING PRACTICE IN AN ELEMENTARY MATHEMATICS METHODS COURSE

USING A DIGITAL SIMULATION TO APPROXIMATE TEACHING PRACTICE IN AN ELEMENTARY MATHEMATICS METHODS COURSE
Identity Governance Defined

Identity Governance has emerged as a critical building block in enterprise Information Technology (IT) automation, in enterprise security, and in corporate compliance management. It provides a framework for controlling user access and ultimately helping to reduce overall operational risk. Fortunately, there is a good degree of industry consensus around what identity governance means, so for the purpose of this book, we offer the following summary definition:
Does the form of text play a role in click through the button on websites?

Internet usage, clicks through the website elements and search for information on the websites has become common part of our daily life. Understanding how users move and behave on websites is crucial for maximizing conversions and designing the layout of any website. The goal of this study is to find out whether the form of the text in the button plays the role and influence click-through rate of the selected elements. There were tested text links and text in buttons. There were tested various forms of the text – verb in the polite form of address, verb in the informal form of address, the call to action in form of the noun instead of the verb. Results of the study show whether the text in buttons influences the click-through rate of these buttons, the results of the other part show how users interact with various elements.
Approaches to Cyber-Resilience through Language System Design

Software doesn't do what users wish due to defects, including security vulnerabilities Especially focus on vulnerabilities Defect categories for our purposes: Unintentional defects Security-related defects Non-security-related defects Intentional defects from malicious individual or subversion appearing to be from individual Need to help organization counter underhanded code Malicious organization: Hard to deal with Organization's goal &amp; might not be considered defects Mechanisms to support independent review can help
DISTANCE LEARNING PECULIARITIES AT COLLEGES IN UKRAINE

The problem of distance learning implementation at colleges in Ukraine is considered. The relevance of the article is in the need of distance learning and use of the opportunities offered by that means of teaching. Distance learning main aspects, which create the necessary background for scientific achievements are systematized and analyzed in the article. Conceptual ideas of distance education in colleges and further perspectives for the development information and communication technologies in the distance education are investigated. The basis of the diagnosis and monitoring of the quality of education are curricula, programs, the content of which is set out by academic disciplines. The system of management of students in the conditions of distance learning implements the laws underlying the organization of the educational process.
CREATIVE SELF-EFFICACY AND UNIVERSITY STUDENTS’ PROSPECTIVE EMPLOYABILITY: CASE OF LATVIA

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 4603-4609ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.1141Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Toward a Metadata Activity Matrix: Conceptualizing and Grounding the Research Lifecycle and Metadata Connections

The role of metadata to support research cannot be underestimated; and, yet, it is difficult to develop a systematic understanding of metadata activities throughout the research process. In this paper, we preliminary analyzed how metadata activities were embedded in the research and data lifecycles. Specifically, we identified some key metadata activities associated with the components of the generic research process, from hypothesis formulation to disseminating the results and data management. The exploration raised epistemological questions about the presence of metadata activities in conducting research and managing data. This work conceptualized and grounded the connection between metadata and the lifecycles of research and data processes and presented a high-level mapping identifying the cross section of their activities and established the impression of metadata value in the field of scientific research and data management.
PENINGKATAN MOTIVASI BELAJAR MELALUI IMPLEMENTASI MODEL CONCEPT LEARNING TIPE MAKE A MATCH PADA MATAPELAJARAN PPKn

abstract: This research was conducted in class X.MIPA.5 SMA Negeri 6 Bandung, in the first semester of 2017/2018 Academic Year with a total of 34 students. This PTK data collection technique uses observation, interviews, documentation and field notes. Conducting research with a process cycle of activities in classroom action research beginning with planning (planning), applying (action), observing and evaluating the process and results of the action (observation and evaluation), reflecting (reflection), then returning to the planning stage of action until quality is achieved desired learning. In the first cycle of action I with the number of subjects amounted to 33 people with observation techniques both teacher categories with a score of 117 and the percentage of 71.34% while observing the activities of students categorized sufficiently with a score of 80 and a percentage of 50%. Then the motivation of students in the first cycle with a score of 194 percent 36.74% less category. Cycle II with the number of subjects amounted to 32 people with very good category of observation techniques for teachers with a score of 143 and a percentage of 87.21% while the observation of the activities of students was categorized both with a score of 103 and a percentage of 64.38%. Then the motivation of students in the second cycle with a score of 294 percentage of 57.42% good categories. Cycle III with the number of subjects amounted to 32 people with observation techniques on the category of very good teachers with a score of 136 and a percentage of 87.21% while observations of the students were categorized very well with a score of 136 and a percentage of 85%. Then the motivation of students in cycle III with a score of 401 percentage 78.32% of the category is very good. From the results of data management there is a significant increase in student motivation, namely the comparison of students' motivation in cycles I, III, III, namely 50%, 64.35 and 85%. So there is an increase in learning activities and motivation of students before and after the implementation of the concept learning model make a match type in the subjects. Keywords: Type make a match, Pancasila Education, Student Motivation
Knowledge based Web Service Composition

Automated Web service composition remains always one of the most challenging research area due to the continuously growing number of semantic Web services. Several formalization and composition approaches were proposed, but they are not mature and flexible. They assume that each sub-task is an atomic process, hence it cannot be decomposed based on user requirements. Moreover, these techniques and formalizations are not suitable for dynamic environments, does not consider incomplete and ambiguous query for which knowledge might be of great use. The aim of this work is to propose a novel horizontal and vertical composition of Web services based on Fuzzy Constraint Satisfaction Problem (FCSP) with knowledge integration. Knowledge, can be extracted from several sources, i.e. a datawarehouse of abstract workflows containing the best compositional practices in a given domain, ontologies, Web mining, etc. The proposed approach was implemented and applied to randomly generated examples using parameters reflecting the real world. Experimental results showed that the integration of knowledge with the CSP formalization gives remarkably better results in terms of the percentage of solved problems.
Real-time double-depth-image-based rendering for autostereoscopic display systems

A new efficient real time rendering method for 3D model called double depth-image-based rendering (DDIBR) is proposed, which realizes higher frame rates and better image quality. This method can not only utilize the traditional rasterization pipeline, but also implements the algorithm on GPU to accelerate the rendering process. The feasibility of the method is verified by qualitative and quantitative experiments. Compared with traditional methods, this method has higher rendering speed and better image quality. The results show that the DDIBR method can be applied to a scene over millions of vertices and the resolution of 3840 × 2160 at 20 frames per second.
Causal Inference, Causal Effect Estimation, and Systematic Error

Chapter 3 discusses basic concepts in causal inference, beginning with an introduction to potential outcomes and definitions of causal contrasts (or causal estimates of effect), concepts, terms, and notation. Many concepts introduced here will be developed further in subsequent chapters. The author discusses sufficient conditions for estimation of causal effects (which are sometimes called <italic>causal identification conditions</italic>), causal directed acyclic graphs (sometimes called <italic>causal diagrams</italic>), and four key types of systematic error (confounding bias, missing data bias, selection bias, and measurement error/information bias). The author also briefly discusses alternative approaches to causal inference.
Technology of regional and global water monitoring objects according to remote sensing data

The possibility of using a non-parametric statistical approach for monitoring water objects using multispectral aerospace images is shown. It was found that the probability density distribution function can be used as the main interpretation of various natural objects, including water.
Image Interpolation Based on Adaptive Neuro-Fuzzy Inference System

Resolution which is defined as the number of pixels per inch is an important factor in determining the quality of images. Due to recent developments, there is a high demand for High Resolution (HR) images. The goal of the methods for increasing the resolution of images, is to produce a high resolution image from a low resolution (LR) image. Preserving image features, including edges is an important factor in image resolution enhancement. Various methods have been introduced in literature to preserve edges. In this paper, the wavelet transform has been used for edge preserving. In proposed method we estimate the four wavelet sub-images of the high resolution image by using adaptive neuro-fuzzy inference system (ANFIS). ANFIS is used for estimating the sub-images due to its ability in using the capabilities of neural networks and fuzzy inference systems (FIS). The method is to use the down-sampled image of low resolution image as input and wavelet sub-images of low resolution image as target outputs, for training four distinct adaptive neuro-fuzzy inference systems. After training, the systems have the ability to estimate the wavelet sub-images of the high resolution image. Finally, by taking inverse wavelet transform from estimated sub-images, the high resolution image is obtained. Qualitative and visual results indicate the superiority of the proposed method to the previous methods.
Thinking and Practice of a New Student-centered Teaching Mode

In order to enhance students' innovative ability and critical thinking ability, a new teaching mode is proposed in which the traditional teacher-speaking and pass on the knowledge in classroom by teacher change to the student-centered autonomous learning. The roles of teachers and students in the new teaching mode are discussed. The key points in teaching preparation and organization is demonstrated and the practice of the new teaching mode is presented.
THE DEVELOPMENT OF PUPILS' MUSICAL CREATIVE ABILITIES ON THE BASIS OF MUSICAL PERCEPTION AS ONE OF THE PRIMARY PROBLEMS OF MODERN MUSICAL PEDAGOGY

The article deals with the peculiarities of Ukrainian choral art.The main idea of the paper is to examine the little-known history of the development of choral art in the first third of the twentieth century in the context of the processes of national cultural revival.The article gives a detailed analysis of the milestones of the enlightening activity of native musicians and the growth of professionalism and interest in national achievements among the general population.Further, the authors consider the positive influence of the development of Ukrainian choral art on cultural revival on the Ukrainian lands.Special attention is given to the issue of the activities of circles and music societies: "Boyan", "Bandurist", "Lute", "Echo", "Literary and Art Circle", "Musical Circle" and others.The article shows that many well-known contemporary cultural figures were among solo performers, for example, the performances of famous opera singers: S. and A. Krushelnytski, F. Lopatinska, M.
PENINGKATAN KEMAMPUAN MEMBACA PERMULAAN DENGAN PERMAINAN HURUF BERLARI PAUD TARAM SPNF SKB TRENGGALEK

Children aged 3-6 years have a hidden potential to become a good reader. At this age children are easy to recognize letters because it is necessary to choose the right type of game that is suitable for the development of children's learning to read. The ability to read the beginning at PAUD TARAM has not been as successful as expected. Therefore, it is necessary to carry out in order to increase the ability to read the beginning. One way to do this is to use letter running games. This type of research is classroom action research. The research model used is Kemmis and Mc. Taggart using two cycles. Each cycle is carried out in two meetings. The subjects of this study were 19 children. The object of this research is to increase the ability to read the beginning using running letters. Data collection method is done through observation and documentation. The data analysis technique was carried out in a descriptive qualitative and quantitative manner. The results showed that there was an increase in initial reading skills. The increase in the ability to read the beginning can be seen based on the increased percentage of pre-action children who are only 0% m4 has an increase of 21.05% in the first cycle in the second cycle increased 84.21%.
Target trajectory prediction based on neural network and Kalman filtering

Kalman filtering is a filtering method based on minimum mean square error. It is a filtering algorithm formed by the state equation of the system, the observation equation and the statistical characteristics of the process noise of the system. It is widely used in the field of target tracking navigation guidance, etc. The Kalman filter requires an accurate state model of the known system, so it has great limitations in practical applications. Because Neural Networks have strong nonlinear mapping capabilities. In this paper, a variety of motion models are selected for reference and simulated by Matlab. The simulation results show that the prediction effect of the filter optimized by neural network is better than that of ordinary Kalman filter.