Reviewerly/exHarmony huggingface dataset:
RADAR, A FRAMEWORK FOR AUTOMATED REPORTING

Large companies and organizations periodically feed their information systems with large data flows.Apart from the classical operational activities, they are called to prepare aggregated reports to send to institutions and rating agencies.Unfortunately, organizations typically suffer for the lack of integrated data and for the lack of a standard data dictionary.The presented approach aims to tackle such a problem by building a "bridge" between employees that need to specify how to generate reports (on the basis of concepts and terms typical of the application domain) and the information system that stores the data to query and aggregate in order to automatically produce reports.The implemented framework, RADAR (Rich Advanced Design Approach for Reporting), moves from the notion of Operational Data Store, and it is posed in the middle between an ontology (of concepts and terms) and the actual operational (and relational) schema of source data.Then, in the defined schema allows for giving a high-level view of such source data, based on concepts described in the ontology for a specific application domain.
Методика вибору гіперкомплексних числових систем для моделювання цифрових реверсивних фільтрів

Digital filter is a digital system, which is used for filtering a discrete signal. It can be implemented as a software method, and with the help of specialized equipment. In both cases, the digital filter can be used for filtering, both in real time and for a pre-stored signal value. In this paper, we consider only the algorithms for the synthesis of the software filter structure. However, it should be noted that on the basis of these structures, implementations and hardware solutions of digital filters can beat. The use of HNS for the synthesis of digital filter structures can give a tangible advantage. Digital filters with hyper complex parameters have greater momentum and better characteristics in integrated parametric sensitivity.The paper discusses the definition of hyper complex digital filter and the conversion of its transfer function to the form of hyper complex function. A technique for selecting a hyper complex number system has been developed for the equivalent of a hyper complex filter to a real analogue. It is shown that the main method for determining the expediency of using one or another HNS for the synthesis of the structure of a hyper complex digital filter is the general form of the normic denominator of the hyper complex transfer function of the filter. This turn should be a complete polynomial of the shift operator, and also contain all the components of the multiplier with the shift operator in the denominator.However, these conditions are only necessary in the synthesis of the hyper complex filter, since the system of equivalence equations may not have real solutions when fulfilling these conditions. In this case, it is necessary to switch to another HNS, if there is such an opportunity, or to switch to HNS of higher orders. The latter path needs further research.
Paraphrase-Sense-Tagged Sentences

Many natural language processing tasks require discriminating the particular meaning of a word in context, but building corpora for developing sense-aware models can be a challenge. We present a large resource of example usages for words having a particular meaning, called Paraphrase-Sense-Tagged Sentences (PSTS). Built on the premise that a word’s paraphrases instantiate its fine-grained meanings (i.e., bug has different meanings corresponding to its paraphrases fly and microbe) the resource contains up to 10,000 sentences for each of 3 million target-paraphrase pairs where the target word takes on the meaning of the paraphrase. We describe an automatic method based on bilingual pivoting used to enumerate sentences for PSTS, and present two models for ranking PSTS sentences based on their quality. Finally, we demonstrate the utility of PSTS by using it to build a dataset for the task of hypernym prediction in context. Training a model on this automatically generated dataset produces accuracy that is competitive with a model trained on smaller datasets crafted with some manual effort.
High Accuracy Eye-Tracker For Proton Clinic Environment

This project aims to improve the accuracy of the eye tracking system, which consists of two cameras and two infrared LED light sources. This highly non-invasive technology, which is the feature-based video-oculographic eye tracking system, determines the position of the eye by monitoring the eye features such as the pupil center and glints. The accuracy of estimating the eye position and orientation is critical in the proton clinic environment, and is to be required higher than those in commercially available eye-tracking system.
Image Retrieval via Canonical Correlation Analysis

Canonical Correlation Analysis (CCA) is a powerful multivariate statistical method. It can be used to find, for a given dimension, a projection pair that maximally captures the correlation between two target random vectors. This work introduces a CCA-based approach for image retrieval. It capitalizes on feature maps extracted from a pre-trained Convolutional Neural Network (CNN) and leverages basis vectors identified via CCA, in conjunction with an element-wise selection method based on the Chernoff information, to generate compact transformed image features; the level of similarity between two images is determined by a hypothesis test regarding the joint distribution of transformed feature pair. The proposed approach is bench-marked against two popular statistical analysis methods, Linear Discriminant Analysis (LDA) and Principal Component Analysis with whitening (PCAw). The CCA approach is shown to achieve competitive retrieval performances on popular datasets such as Oxford5k and Paris6k.
DEVELOPMENT AND APPROBATION OF A QUESTIONNAIRE OF PERSONALITY'S ABILITY TO SELF-DESIGN

The article describes the procedure of elaboration of an author's questionnaire of personality’s ability to self-design. Diagnostic toolkit was created in accordance with our proposed theoretical model of personality's ability to self-design, according to which the latter is determined by integral body of psychological feature s of personality , wh ich core component is a form ation of desire of an individual for self-development, personal autonomy, perspective orientation o f his individual experience, tolerance to uncertainty and systematic reflection . The proposed questionnaire aims to determine the state of formation of personal autonomy (as a dimension of intentional, semantic emancipation of a personality) and perspective orientation of individual experience of a personality (as his willingness to carry out a life project). The questionnaire consists of 45 statements, rated according to a 5-point s scale. It contains four, relatively independent, diagnostic scales: "Autonomy", "Impulsive quasi-freedom", " Me -planning", " Me -acting". Features of personal emancipation are determined according to the scales "Autonomy" and "Impulsive quasi-freedom". Perspective orientation of individual experience of a personality is diagnosed by taking into account the data according to the scales " Me -plann ing " and " Me -acting", which determine readiness of a personality for i mplementation of his own life project. The development algorithm and approbation results of the above-mentioned diagnostic toolkit is shown based on selection of 1015 persons. Keywords: personality’s self-design ing , personality’s ability to self-design ing , questionnaire of personality's ability to self-design ing , personal autonomy, perspective orientation of individual experience of a personality. Accepted: 30.09.2019 Reviewed: 30.09.2019 Published: 30.09.2019 DOI: http://doi.org/10.31108/3.2019.3.4.5 * * * * * Download/read PDF
Earthquake Detective: Engaging Citizens in the Detection of Dynamically Triggered Seismic Events

We are engaging citizen scientists in an experiment to test if many human ears can replace the process of a professional seismologist in identifying dynamically triggered seismic events. Ordinarily, this process involves interactive data processing and visualization efforts on a volume of earthquake recordings (seismograms) that exploded during the recent big-data revolution, for example through EarthScope. In this citizen seismology project, we ask citizens to listen to relevant sections of seismograms that are accelerated to audible frequencies. This approach has five advantages: 1) The human ear implicitly performs a time-frequency analysis and is capable of discerning a wide range of different signals, 2) Many human ears listening to the same data provides statistics that rank seismograms in order of their likelihood to contain a recording of a triggered event, which is helpful to researchers’ analysis of this data as well as to 3) the ability of a deep-learning algorithm to model the boolean identifications or bulk statistics of the analyses, 4) the project has the potential to enhance informal learning because of the online platform that hosts the project, Zooniverse, is available to people of all identities and hosts many other citizen science projects, and 5) it helps prepare our team for diverse post-graduation careers as part of IDEAS, an NRT program at Northwestern University. The events we are asking citizens to help identify via listening are small seismic events such as local earthquakes and tectonic tremor, that occur in response to transient stresses from passing seismic surface waves from a large, distant earthquake. While much research progress has been made in understanding how these events are triggered, there is no reliable deterministic recipe for their occurrence. The aim of our project is to enlist the help of citizens to increase the data set of known triggered seismic events and known absences of triggered events in order to help researchers unravel key aspects of that recipe. A better understanding of triggered seismic events is expected to provide important clues towards a fundamental understanding of all seismic activity, including damaging earthquakes.
Modern technologies in foreign language training at a technical higher education institution

The article discusses modern technologies in foreign language training for the bachelors of technical university which help to develop professional skills. Nowadays there is a need of education transformation taking into account changes of the digital world in favour of the soft skills development which provide personnel leadership in a digital era. The value of new technologies is that they allow to be guided better in a rapidly changing world, in various directions and disciplines and to understand flows of modern information. Educational cases and projects are very important in Russian education now. At the same time, assimilation of knowledge and abilities development act as a result of vigorous independent students’ activity on conflicts solving therefore there is a creative mastering professional knowledge, skills, abilities and critical thinking development.
Cognitive analysis and choice of an enterprise’s strategic goals

One of the most crucial and vulnerable stages of strategic management is the cognitive stage associated with the transformation of the strategic vision and of the enterprise's mission into its strategic goals.At this stage, management is faced with the problem of developing a coordinated collective opinion on the content of the goals being formed and with the problem of objective assessment of their effectiveness.The difficulties here are due to the phenomenological features of the stage, such as the informal nature of the transformation procedure, the multi-criteria nature of goals, numerous uncertainties and risks exacerbated by the increased variability of business environments, cognitive barriers caused by linguistic discrepancies and differences in the professional experience of strategy developers.Such features of the stage ultimately lead to ambiguous decisions regarding the content of goals and ambiguous assessments of their effectiveness.In these circumstances, traditional support tools (numerous versions of expert methods, brainstorming, Norton and Kaplan's BSC, SMART technology, etc.) face serious limitations.This paper proposes a cognitive technology for forming a coordinated set of the enterprise's business goals that to a large extent takes into account the features of the given stage.The technology is a single procedure integrating the capabilities of traditional support tools and expanding the creative potential of support based on psychosemantic models and nonmetric multidimensional scaling methods.The results of a real study conducted at a number of enterprises show that cognitive technologies open up new prospects for goal analysis.They can serve as a useful complement to existing support tools and contribute to the design of more effective and realistic business strategies.
Investigating the Effect of Organizational Silence and Voice on Employees’ Performance Based on the Mediating Role of Ethical Leadership: A Case Study of Tehran Metropolitan Fire Station

Investigating the Effect of Organizational Silence and Voice on Employees’ Performance Based on the Mediating Role of Ethical Leadership: A Case Study of Tehran Metropolitan Fire Station
Self-attentive Pyramid Network for Single Image De-raining

Rain Streaks in a single image can severely damage the visual quality, and thus degrade the performance of current computer vision algorithms. To remove the rain streaks effectively, plenty of CNN-based methods have recently been developed, and obtained impressive performance. However, most existing CNN-based methods focus on network design, while rarely exploits spatial correlations of feature. In this paper, we propose a deep self-attentive pyramid network (SAPN) for more powerful feature expression for single image de-raining. Specifically, we propose a self-attentive pyramid module (SAM), which consists of convolutional layers enhanced by self-attention calculation units (SACUs) to capture the abstraction of image contents, and deconvolutional layers to upsample the feature maps and recover image details. Besides, we propose self-attention based skip connections to symmetrically link convolutional and deconvolutional layers to exploit spatial contextual information better. To model rain streaks with various scales and shapes, a multi-scale pooling (MSP) module is also introduced to efficiently leverage features from different scales. Extensive experiments on both synthetic and real-world datasets demonstrate the effectiveness of our proposed method in terms of both quantitative and visual quality.
Pengembangan Media Pembelajaran Interaktif Berbasis Android Untuk Pembelajaran Terbuka dan Jarak Jauh di Universitas Pendidikan Indonesia

This research aims to develop a learning media as a pilot project for the development of open and distance learning. Learning media developed in the form of android-based applications with project-based learning methods. Media is made by adjusting the objectives of the learning process, therefore the media must have a reference to develop the content of the material to be discussed in it. Content includes RPS, learning modules and assessment grids. Learning media created based on google so that it supports all types of devices to access this module. With the Rapid Application Development (RAD) method the module development stages can be completed in accordance with the planned time. In the module developed there are learning objectives, practical activities instructions, tools and materials, basic theories, exercises and assignments. The material is also given a video sample of the material being studied. The current research has reached the stage of questionnaire filling by students and questionnaire data processing. The results showed a positive response from students evidenced by the normal curve of the assessment that has been carried out. From the data obtained can be used as a reference in the development of interactive learning media that are easy to develop in learning.
Evaluation of educational results in mathematics of schools of Kostroma Region under the conditions of introduction of Russian Federation state educational standard of basic and secondary general education

This article discusses the impact of changes in the field of school education associated with the introduction of Federal state educational standards of basic general and secondary general education on the quality of mathematical training of pupils. The authors describe the most essential, in their opinion, changes in the use of modern educational technologies in the learning process, such as case-technology, technology of project activities or technology of project training; in the application of new evaluation procedures, such as the protection of individual final project or portfolio, etc. based on the analysis of educational results in mathematics of pupils of Kostroma Region in the framework of thestate final certification in mathematics, the authors come to the conclusion about the positive dynamics of educational indicators of pupils.
The Influence of Learning Motivation Through Students Learning Achievement of Indonesian Subject at Fifth Grade in Elementary School

This study examined the effect of learning motivation on learning outcomes of Indonesian lessons at the Elementary School.The focus of the study was to find out the description of the learning motivation in elementary school at fifth grade students of the Cluster II in Tanete Riattang, Bone; to know the description of the results of students learning Indonesian in elementary school at fifth grade students of the Cluster II in Tanete Riattang, also to find an influence between learning motivation and Indonesian learning outcomes of the students in elementary school at fifth grade students of the Cluster II in Tanete Riattang, Bone.This research used a quantitative research design.This research used a expost-facto correlational research.Data of this research obtained through questionnaires and documentation.The population was all fifth grade students in Elementary School Cluster II in Tanete Riattang 2017/2018 academic year that are totally 240 students.The sample in this study amounted to 72 students.Data analysis of the study was descriptive statistical and inferential statistical analysis.The results showed that: 1) the level of student motivation is in the excellent category, 2) the level of Indonesian learning outcomes is in the very good category, 3) H1 was accepted or, in other words, there was a significant influence between learning motivation on Indonesian learning outcomes in elementary school at fifth grade students of the Cluster II in Tanete Riattang, Bone.
Development of creative abilities in preschool children in theatrical activities

The problem of development of creative abilities at children of the senior preschoolage by means of theatrical activity is considered in this article. The first part presents a theoretical analysis of psychological-pedagogic research: the role of theatre as a means of development of creative abilities; the content of the concepts "creativity", "theatre", "theatrical activities", "theatrical game", etc.; classification of theatrical games. The authors focus on the importance of theatrical activities in the creative development of preschool children and the classification of theatrical games used in preschool educational institutions. Levels of development of creative abilities in children of the senior preschool age are defined on the basis of the developed criteria and indicators. As a result of the training phase of the experiment, there is a significant increase in the interest of children of preschool age in theatrical activities, reading works of art, making attributes for games-dramatisations. In conclusion, it is concluded that theatrical activity not only affects the formation of creative abilities, but also is a universal means of personal development.
DETEKSI SITUS PORNOGRAFI BERDASARKAN GAMBAR MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK

Today, the development of information technology is very fast. It is also followed by the growth of internet sites that are very fast, no exception the growth of sites contains pornographic. The Association of Indonesian Internet Service Providers (APJII), in 2018, reports as many as 55.9% of Indonesian internet users had experienced of appearance pornographic content suddenly. This study aims to detect pornographic sites based on images using the convolutional neural network method. To find out the level of accuracy in detection of pornographic sites, a training process with a dataset of 300 images is required. From the test results, an accuracy rate of 85% in the detection of pornographic sites is obtained.
Canberra observed: Australian business R &amp; D investment a national disgrace/ Gold Council reports strong demand for gold

According to the Australian Bureau of Statistics (ABS), the business resources devoted to research and experimental development (BERD) during 2017–18 amounted to $17 438 M (https://www.abs.gov.au/A...
PENINGKATAN KEMAMPUAN MENYUSUN TEKS EKSPLANASI MELALUI PEMBELAJARAN KONTEKSTUAL DENGAN MEDIA AUDIO-VISUAL PADA SISWA KELAS VII F SMP WISATA SANUR TAHUN PELAJARAN 2017/ 2018

This study uses classroom action research (CAR). The subjects were students of class VII F SMP Wisata Sanur totaling 42 students. The object of research is the application of contextual learning with audio-visual media to enhance the ability of preparing explanatory text. The design of this class action research, carried out in stages or multiple cycles until results are achieved in accordance with the desired target. The data collection is done by using the method of observation and testing methods in the form of duty fabricated. Observation methods used to collect the data pertaining to attitudes and activities of students in the learning process. Written test in the form of duty fabricated by the amount of about 1 point with 5 aspects of assessment and score range 1-20 with a number of wholly ideal score is 100. The test results obtained in the application of contextual learning with media audio-visual to Enhance Capabilities Develop explanatory text F Grade VII SMP Wisata Sanur Academic Year 2017/2018 has increased. In the initial test value - average only 4.07 with less category, the first cycle value - average of 5.30 with a category is almost enough, the second cycle value - average of 6.92 with more than enough categories and average value Cycle III students on the average increased to 8.40 with a good category. Based on the results of the tests can be concluded that contextual learning with audio-visual media can improve the ability compile explanatory text in class VII F SMP Wisata Sanur in academic year2017/2018.
Export of Educational Services as a Component of University Leadership in the Innovation Field

Our paper examines the features of the impact of the export of educational services of a technical university on its position in the educational institutions' ratings, reflecting the nature of its innovative activities.It has been proved that the conditions, under which innovation activity of the university and export of educational services are being conducted, are closely related and based on a common institutional framework.The approaches to the development of methods of university's innovation activity management in terms of organizing international cooperation and export of educational services have been proposed.