Reviewerly/exHarmony huggingface dataset:
ACTUAL PROBLEMS OF CRITICAL THINKING DEVELOPMENT IN ACADEMIC ENVIRONMENT

Society of Ukrainian Researchers.P. Mohyla, for the development of pedagogical thought in Galicia, focused attention on the role of members of the Shevchenko Scientific Society for the development of this branch.Separate relationship between the Shevchenko Scientific Society, the society «Prosvita» and the Society of Ukrainian Researchers.P. Mohyla for the formation of the future Ukrainian secret university.It is concluded that the purposeful and systematic participation of Shevchenko Scientific Society in the development of educational courses was carried out on the andragogical basis of the activity.Originality.Revealed aspects of support by the Shevchenko Scientific Society education for the youth of Galicia.Сharacterized the influence of the Shevchenko Scientific Society for the organization of educational scientific courses for ukrainian youth of Galicia and the whole Ukraine.Distinguished contribution of the members of the Shevchenko Scientific Society for the development of educational centers and institutions in the late XIX -the first third of the XX century.Conclusion.Support for youth and adults of Galicia and Ukraine in the process of obtaining education developed through the formation of Ukrainian scientific, cultural and educational societies and organizations.Evaluating general contribution of the Shevchenko Scientific Society into development of educational sphere, it is necessary to note the comprehensive activity of the initiative, which was based on the andragogical basis of functioning.The organization of scientific and educational courses led to the formation of the Ukrainian Secret University in the future and was based on the dissemination of scientific knowledge and skills among a wide range of Ukrainian segments of the population.
Research on Battlefield Situation Display Based on Mixed Reality Technology

Aiming at the problem that the current combat command and control system adopts the two-dimensional information display method, which is not intuitive and easy to overlap, and limits the decision potential of the operator, a method of applying hybrid display technology to battlefield command decision is proposed. By analyzing the application characteristics of mixed reality technology in situation display and command control, using 3D Max, Unity to create virtual models and space environment, writing control scripts such as gaze control and gesture operation under VS2017 platform, and implementing applications based on Hololens mixed reality helmet. The battlefield situation display effect of projecting the holographic image onto the real world surface and the command and control mode of the operator interacting with the holographic image in various forms are realized, which proves the possibility that the future mixed reality technology is applied to actual combat command.
Perancangan Game Matematika Sebagai Media Pembelajaran Berbasis Android

One technology that is developing very rapidly now is information technology and mobile communication (mobile). Mathematics is a science that is widely used in everyday life such as used in trade transactions, carpentry, and so forth. But unfortunately mathematics is considered a difficult subject to understand and is considered terrible by some students who do not like the subject. Like what happened at 004 Batu Aji State Elementary School in Batam. In addition, learning techniques are a bit rigid, because they only come from textbooks. Therefore an educational game was made by incorporating elements of mathematics learning in it to make it look interesting and increase students' interest in learning mathematics. The game to be built is an android-based math education game for grade 2 elementary school students. The variable indicators used are addition, subtraction, multiplication, division, and image installation. By incorporating elements of learning in it, the game can be used as an instructional system using mobile devices. The purpose of this study is to apply and develop mathematics learning media in the form of an android-based educational game in the hope that it can improve the ability to count quickly, add insight and memory to students. From the survey results obtained from elementary school student questionnaire 93.4% were satisfied with the Android-based mathematics education game application that was designed.
Measure Twice, Cut Once: Acceptance Testing

The challenges it sets are numerous and thus, many project managers face the hard decision of how to organize the process that requires not only technical knowledge but also demands to be able to put themselves in the user’s shoes. Being aware of the problems that will be met and relying on the testing performed so far, many decide to skip the need for conducting acceptance testing using both external and internal resources. And what happens next—great loss for the company as the end user is dissatisfied with the software and refuses to use it. The company will face not only profit loss, but what is more important in the modern world: loss of reputation and credibility among partners, competitors and above all—“his/her majesty”—the end user, who is now to judge even harshly as ever, because of all the possibilities he/she has and the ease of switching from one software to another. That is the reason each project manager must be aware of the main challenges of organizing and conducting the acceptance testing. The benefits from it are numerous and will only lead you and your team to a greater success. Of course, it should be performed correctly and planned really well; otherwise you will have to deal with the losses that follow the release of a lousy product in the eyes of the end user.
Long Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate Speech

Automatic and accurate recognition of hate speech is a difficult job.In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative.Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm.Good knowledge of world and assessment of context are thus highly demanded.Several approaches have been proposed for automating hate speech recognition task.Many of them consider a combination of strategies in order to achieve better results: character-based or word-based N-grams, lexical features such as the presence or absence of negative words, classes or expressions indicative of insult, punctuation marks, repetition of letters, the presence of emoji, etc.The solitary use of linguistic features such as POS tagging have shown itself inefficient.The recent usage of neural networks to create a distributed representation of the sentences within a hate speech corpus is a promising path.Unfortunately, providing such a corpus is hard.Except for the English language, hate speech corpora are rarely found.This work proposes a cross-lingual approach to automatically recognize hate speech in Portuguese language, leveraging the knowledge of English corpora.A deep Long Short-Term Memory (LSTM) model has been trained and many different experimentation scenarios were set to deal with embeddings, TFIDF, Ngrams, GloVe vocabulary and so on.At the end, a Gradient Boosting Decision Tree (GBDT) was used to improve classification results.We achieved accuracy of up to 70% in the better scenarios.Two important contributions of this work are: (i) An effective approach to deal with the lack of hate speech corpora in the desired language and (ii) a hate speech database in Portuguese to contribute to research community.
Gambaran Kelengkapan Resep Secara Administratif dan Farmasetik di Apotek K24 Pos Pengumben

In the prescription service flow, pharmacists are required to do prescription screening which includes administrative screening, pharmaceutical suitability and clinical considerations. The administrative and pharmacetic aspects of the prescription were chosen because it was the initial screening when the recipe was served at the pharmacy because it included all the information in the recipe relating to the clarity of the drug writing, the validity of the recipe, and the clarity of the information in the recipe. This research was conducted to find out how the administrative and pharmacetic prescriptions at the Kumbum Pos Pengumben Pharmacy in the period of August to December 2018 fulfilled the prescription completeness according to Minister of Health Regulation No. 73 of 2016. Administrative and pharmacy checks were carried out on 288 prescription sheets by filling in the tables Data collection (Checklist) in accordance with the completeness aspects reviewed. From the results of the study showed the incidence of incomplete prescriptions at the Post-Pengumben K-24 Pharmacy namely 99% body weight, 36% sex, 28% patient age, 1% patient name, 6% doctor name, 28% SIP, as many as 1%, telephone number as much as 15%, initial as much as 53%, prescription date as much as 2%, preparation as much as 25%, dosage strength 24%, drug stability 1%, and 0% compatibility. The complete prescription at the K-24 Pharmacy Station Post has not fulfilled the administrative and pharmaceutical requirements in accordance with Permenkes No. 73 of 2016.
An algorithm of tracking and detection of moving objects in a video stream

The relevance of the presented work is determined by the need to create automatic security systems in places of crowds of people to detect suspicious human behaviors which are manifested in sudden movements.This is necessary in order to warn of a potential danger and take appropriate measures afterwards.Two programs have been developed for tracking objects (people are used as an example of objects in this article) that change their positions in the frame and place them into framing rectangles.Describes an algorithm for comparing two frames from a video stream and framing in a rectangle of people who have changed their position in the frame.The created algorithm allows processing up to 17 pairs of frames per second, which means the applicability of the algorithm in real-time tasks.It has been established that setting a minimum height of an object is a necessary part of the algorithm in order to exclude the selection of noises as moving objects.A high result is shown in accuracy and time of object selection in real-time tasks using the proposed algorithm.
Repetition, Feedback, and Temporality in Two Compositions by William Basinski

In this essay I examine how William Basinski’s loop-based recordings reveal and extend the aesthetic concurrence between technological, biological, and human duration, memory, and the perception of the industrial temporal object. The examination of how looping stresses a composition’s flow in the perception of a time-based media object and the exchange between memory and the machine as a performance and configuration of the mental sphere, pursues a line of thought that brings together ideas about repetition in Basinski’s compositions as a sonic reformatting of the mental sphere and the technology of Basinski’s slow, analog, compositions contra the accelerated digitalism of twenty-first-century life.
Evaluating theories: Counting nodes and the question of constituency

This paper is a reply to Timothy Osborne’s paper Tests for constituents: What they really reveal about the nature of syntactic structure that appeared 2018 in Language under Discussion. This paper discusses how constituent tests work and why it is no problem if they are not applicable. It is argued that Osborne’s claims regarding simplicity of Dependency Grammar (DG) in comparison to Phrase Structure Grammar (PSG) are unwarranted and that DG models that include semantics make use of auxiliary structure that is equivalent to the nodes assumed in PSG. A final section of the paper discusses the general validity of counting nodes for theory evaluation and the assumption of empty elements vs. specialized phrasal rules.
Intelligent Graph Review System Based on Knowledge Map

In order to meet the background of the digital map review of the rapid development of information technology such as "Internet +", big data, machine learning, etc., a smart graph review system based on knowledge map is proposed. The system includes a data processing module, a knowledge map building module, and a comment recommendation module. At present, the knowledge map is constructed through the Neo4j database, and the accuracy of the entity recognition algorithm in this project reaches 95.7%. The survey results show that the application of the system can meet the requirements of intelligent review.
Book Review Podcasting in the Implementation of Extensive Reading: Exploring the Students’ Benefits

Book review podcasting is one of the alternatives follow up activities in extensive reading. This type of activity is a result of integrating book review, a common post-reading assignment, and podcasting, a digital recording in a share-comment internet platform. This research aims to discuss the benefits that the students get from the activity in the implementation of extensive reading. This research belongs to qualitative research and took place in one English language education department of a university in Indonesia. The researchers collected the data by interviewing four first-year students who joined a reading-writing class where the lecturer implemented extensive reading. To gain answers from different perspectives, the researchers involved two participants with high reading interest and two others with low interest in that activity. Those four participants who were all female were chosen based on the recommendation from the lecturer. The result pointed out that book review podcasting could enhance students’ reading interest, improve language skills, get a recommendation of good books from friends, and get parents’ support to cultivate reading habits. The conclusion drawn from the finding is that creating a book review podcast as the follow-up activity after the extensive reading has a positive impact on the students.
Organizational Culture and Motivation over Mediated Performance by Organizational Commitment

Public dissatisfaction with police detective's function has performed in conducting investigations, often makes the community not well served. A reports submitted does not necessarily revealed or fulfill a sense of justice. Therefore, the purpose in this study to assess the influence of organizational culture and motivation in police performance with mediated by organizational commitment. Here, we collect 195 respondents in police officers using Structural Equation Model (SEM). The results shows organizational culture influenced police performance, organizational culture influences organizational commitment, organizational commitment influenced police performance, motivation influenced organizational commitment and motivation influenced police performance.
A cognitive robot equipped with autonomous tool innovation expertise

Like a human, a robot may benefit from being able to use a tool to solve &#x0D; a complex task. When an appropriate tool is not available, a very useful ability for a robot is to create a novel one based on its experience.&#x0D; With the advent of inexpensive 3D printing, it is now possible to give robots such an ability, at least to create simple tools. We proposed a method for learning how to use an object as a tool and, if needed, to design and construct a new tool. The robot began by learning an action model of tool use for&#x0D; a PDDL planner by observing a trainer. It then refined the model by learning by trial and error. Tool creation consisted of generalising an existing tool model and generating a novel tool by instantiating the general model. Further learning by experimentation was performed. Reducing the search space of potentially useful tools could be achieved by providing a tool ontology.&#x0D; We then used a constraint solver to obtain numerical parameters from abstract descriptions and use them for a ready-to-print design. We evaluated our system using a simulated and a real Baxter robot in two cases: hook and wedge. We found that our system performs tool creation successfully.
Skills of Employing Mobile Learning Applications Required for Faculty of Education Students in Light of their Training Needs

The current research aimed to identify the skills of using and employing the mobile learning applications required for the Faculty of Education students in light of their training needs.In order to improving the efficiency and performance of the teachers during the preparation in faculties of education regarding the field of employing technology in education.To achieve the research objective, the researcher was used the descriptive analytical methodology, and prepared a general skills list included the skills of employing m-learning applications.A questionnaire was also prepared to identify the students' needs from the skills of employing m-learning applications.After analyzing the results, a skills list of employing m-learning applications was obtained and included (9) main skills and (64) sub-skills required for Faculty of Education students.In light of this results, researcher presented some research recommendations.
YOUTUBE MOTIVATIONS OF UNIVERSITY STUDENTS IN THE CONTEXT OF USES AND GRATIFICATIONS APPROACH

e r n a t i v e s o f t h e c o n v e n t i o n a l media among the young in the recent years.The ratings and number of users of YouTube -a social media platform established in 2005 for image recording, storage, and sharing -worldwide and in Turkey have increased depending on the change in the mobile use habits as well as on the flourishing of smartphones.It is seen that the use of YouTube has become widespread particularly among the young in the sense of reaching information and of social interaction as well as for reputation acquisition, to become famous, and for entertainment.In this context, a survey was carried out in December 2017 to reveal the motivations of some 579 university students for use by employing the method of random sampling.As a result of the research, it was discovered that the university students used YouTube on each day of the week and for an hour to 3 hours daily to acquire information and reach alternative information, for access to alternative news broadcasting, and to obtain economic and social utility most and accessed YouTube largely by means of a laptop.
Correction to: A security risk perception model for the adoption of mobile devices in the healthcare industry

Unfortunately, the co-author’s affiliation was wrongly published in the original online publication of this article. The correct affiliation should read as: Li-Chiou Chen, Department of Information Technology, Seidenberg School of Computer Science and Information Systems, Pace University.
Image Cryptography with Least Squares Approximations

Security of digital images has become one of the most important issues in network technologies.Different techniques have been evolved over the past few years to provide security for digital images through concealing information, image scrambling and image encryption.The aim of this work is to enhance the network security level by using the cryptographic method based on the Least Square Approximation technique (LSA).This work is one of the first attempts due to the use of the least squares polynomial of fifth degree technique as data interpolation in the image cryptography process.It has been proven in this study that a high level of correlation exists amongst the original and the corresponding decrypted images.The achieved high values of the measured Peak Signal to Noise Ratio (PSNR) for the decrypted images in this study are an indication to the high accuracy of the proposed technique in comparison to other cryptographic techniques.The output of the encrypted technique in this study reveals its reliability and robustness against security attacks.
The Gradient Product Transform: An Image Filter for Symmetry Detection

The Gradient Product Transform (GPT) is an image filter that converts a grayscale image into a float image, such that points representing a point reflection symmetry center obtain a high score.Beside the symmetry score, it also yields an estimator for the size of the symmetry region around each point.Apart from describing the GPT, the article also explains its application for two use cases: detection of objects with a point reflection or C 2m rotational symmetry, and the extraction of blood vessel skeletons from medical images.For the detection of symmetric objects, a score normalization procedure is suggested that allows to choose a fixed threshold for score values representing actual symmetries.
An interview with Sarah Clinch

In this series of interviews with innovation leaders, Ubiquity Associate Editor and software engineer, Dr. Bushra Anjum sits down with Sarah Clinch, computer science researcher and lecturer at the University of Manchester, to discuss the cognitive burden technology innovations create.
Social Capital Of The University: Research, Measurement, Analysis

Empirical studies of a social capital as a significant factor in improving the efficiency of the universities are very important for the development of higher education. However, the practical measurement of the universitys social capital and the evaluation of its impact on effectiveness is challenging. This paper discusses the problems of designing a theoretical model, measurement and analysis of the social capital of the university. This study presents the results of a pilot research aimed at the developing of methodology and tools for measuring and analyzing the universitys social capital. Qualitative and quantitative methods of the analysis were adopted for this study. The units of the analysis included teachers, departments and institutes of the university. The results of the study showed that empirical researches of the impact of a social capital on the professional activities of the university teachers is associated with a large number of factors, which requires the development of special mathematical models based on randomized algorithms and statistics. The structure of a social capital of the university is very heterogeneous and diverse, in addition to internal processes, teachers are included in various external networks and groups, acting as an element of social capital of external actors: students, graduates, employers, expert communities, stakeholders, which significantly effects on their effectiveness. There is a general trend of decreasing confidence in the levels of the organizational hierarchy from the department to the university.