Reviewerly/exHarmony huggingface dataset:
Professionalism and professional-pedagogical competency of the university teacher: the balance between concepts

Науковий часопис НПУ імені М. П. Драгоманова Horban S. I. Capabilities of the design technologies in forming the professional training of the sacred art painters.In article attempt of the analysis of possibilities of design technologies to justify the need for their implementation in training future artists of sacred art.The importance of an innovative approach to learning and the priority of the teacher's adaptation, organizational and advisory functions are emphasized.The ways of realization of problematic learning technology of research type in professional training of future artists of sacral painting and special functions of technology of problem learning are determined.Based on the synthesis of the views of researchers, the definition of the term «project» is given, the importance of the project as a form of innovative activity is emphasized, which shapes the subjective position of the future artist of sacral painting, his skills and abilities.The article points out that with the help of technology; intelligent information is translated into the language of practical decisions.The basic requirements for the use of design technologies are characterized.The importance of collective creative work of students and work in small groups in the process of performing a joint artistic and creative task is emphasized.The basic directions of use of project technologies, characterized by special ways of interaction of the teacher and students, are revealed; directions of using problem-based learning technology as a tool for teaching future artists of sacral painting and a means of maximum approximation of the future specialist to real professional activity.In the article it is noted that due to realization of practical-creative individual and group projects there is a gradual formation of personal-individual, artistic-aesthetic, artistic-practical components of the future competence of the future artist of sacral painting.The productivity of design technologies, which are an important tool for problematic learning and the importance of introspection that influences the formation of reflection, is revealed.Possibilities of project technologies of training in formation of professional training of future artists of sacral painting are presented.
Integrating Hierarchical Attentions for Future Subevent Prediction

An Event, containing a sequence of subevents, describes a typical thing that happens at a specific time and place. Predicting next probable subevents based on knowledge acquired from large-scale news documents are very important for many real-world applications, such as disaster warning etc. In this paper, we present a novel hierarchical attention based end-to-end model for future (unknown) subevent prediction using large-scale historical events. Our model automatically produces a short text which describes a possible future subevent after consuming the texts describing previous subevents. To boost the model's understanding towards subevent sequence, we design a hierarchical LSTM model to compress the knowledge in both the word sequence for a subevent and the subevent sequence for an event. In addition, topic information has been exploited to make context-aware prediction for future subevents. To further consider which subevents and words play a critical role in prediction, we propose a hierarchical attention mechanism to stress on the important previous subevents as well as the the critical words within them. Experimental results on a real-world dataset demonstrate the superiority of our model for future subevent prediction over state-of-the-art methods.
Ethos and Eros in the Life’s Activity оf Mykola Lysenko

The psychological source of human activity is hidden in human nature. The values of life on which the affirmation and vitality of the individual are based are revealed in the aesthetic and ethical spheres. In the sphere of the aesthetic – it is an experience of beauty and magnificence, in the sphere of the ethical – it is love, faithfulness, dedication and cheerfulness, which are based at the active attitude of a person. Thus, ethos is closely connected with eros. The latter is used in the article in the sense of a strong, passionate AESTHETIC (rather than physiological or psycho-physiological) feeling.The aim of this work is to investigate the interconnection of ethos and eros in the life of a prominent figure of Ukrainian musical culture, Mykola Lysenko (1842-1912).The methodology of the research is to combine the cultural-historical method (elucidating the life and work of the composer through the prism of the aesthetic and ethical spheres), the method of analysis of scientific literature on the problem (to identify the degree of its development and prospects for further exploration), epistolary analysis and methods of personology (biographical and cultural-psychological reconstruction).The scientific novelty of the article is due to the fact that for the first time M. Lysenko’s spiritual world, in which ethos and eros interacted organically, is considered as a factor that had a profound effect on his musical creativity. This, in particular, has been embodied in the vocal works (solo songs) that make up the gold fund of Ukrainian musical art.Conclusions. The proposed research draws attention to the personal life of the composer, his value orientations and emotional states, in particular to the feeling of love for a woman. The results of the study make it possible to rethink the heritage of the national music culture in the context of the personality problem.
Global Context Instructive Network for Extreme Crowd Counting

Crowd counting has gained popularity due to wide applications, such as intelligent security, and urban planning. However, scale variation and perspective distortion make it a challenging task. Most existing works focus on multi-scale feature extraction to address the challenge of scale variation and perspective distortion. In this paper, we propose a novel Global Context Instructive Network (GCINet), which devotes to making full use of extracted features and obtaining precise counts. The main contributions are four folds. First, we construct a three-column Feature Processor to generate features with different scales. Second, an Instructive Module is proposed to introduce global context which is the substance for generating adaptive features. Based on global context, the three-column Feature Processor constitutes an adaptive feature generator. Third, a novel loss function which integrates Euclidean distance and spatial correlation is proposed to enhance the spatial correlation and consistency between pixels. We no longer regard a pixel as an independent point in the calculation, but consider the neighborhood space of the pixel to achieve complementary effects. Finally, we conduct experiments on ShanghaiTech dataset, UCF_CC_50 dataset, UCF_QNRF dataset and UCSD dataset which show that our approach achieves state-of-the-art performance.
A Visual Analytics Framework Case Study: Understanding Colombia’s National Administrative Department of Statistics Datasets

In a world filled with data, it is expected for a nation to take decisions informed by data. However, countries need to first collect and publish such data in a way meaningful for both citizens and policy makers. A good thematic classification could be instrumental in helping users to navigate and find the right resources on a rich data repository, such as the one collected by the DANE (Departamento Administrativo Nacional de Estadística, i.e. the Colombia’s National Administrative Department of Statistics). The Visual Analytics Framework is a methodology for conducting visual analysis developed by T. Munzner et al.1 that could help with this task. This paper presents a case study applying such framework conducted to help the DANE to better visualize their data repository, and also to understand it better by using another classification extracted from its metadata. It describes the three main analysis tasks identified and the proposed solutions. Usability testing results during the process helped to correct the visualizations and make them adapted to decision-making. Finally, we explained the collection of insights generated from them.
Upaya Meningkatkan Kemampuan Berbicara Bahasa Inggris dalam Percakapan Sehari-Hari dengan Metode VAK (Visualization, Auditory, Kinestetic) bagi Para Santri Pondok Pesantren Nurul Huda 2 Tanah Merah

One of the main objectives of learning English in the current era of globalization is ability in English conversation. However, English conversation skills are still considered as one of the difficult skills for santri in the Pesatren of Nurul Huda 2 Tanah Merah. Many santri face some difficulties when they want to communicate in English, even though they have learned English for many years. As a solution to motivate students to learn and communicate in English, that is by providing attractive teaching media through effective learning methods. In this service the method used is using VAK (Visualization, Auditory, and Kinestetic) media. One of the results and benefits of this service activity is to provide knowledge about the media and English conversation learning methods to increase students' interest in learning and communicating in English every day.
Why Do I Trust Your Model? Building and Explaining Predictive Models for Peritoneal Dialysis Eligibility

Achieving fairness, accountability and transparency is of vital importance when using machine learning (ML) techniques in the health-care realm. Yet, the myths of the black box of ML algorithms still exist among healthcare professionals. In this research, we developed a ML model for the eligibility of patients for peritoneal dialysis and employed various interpretability techniques to explain the models to nephrologists to gain their trust in the model. We compared different model-specific and model-agnostic ML interpretability strategies with traditional statistical analysis methods and we analyzed their applicability in healthcare domain.
Adaptive Optics Image Restoration via Regularization Priors With Gaussian Statistics

In order to compensate for any failure on the use of point spread function (blur kernel) estimation and image estimation priors, we propose a novel regularization priors scheme with adapting the parameter for image restoration involving adaptive optics (AO) images. Our scheme uses a maximum a posteriori estimation with Gaussian statistics on the image and point spread function (blur kernel). An efficient regularization prior method associated with alternating minimization method is described to obtain the optimal solution recursively. Our method is applied to synthetic and real adaptive optics images. After applying our restoration method, satisfying results are obtained. Experimental results demonstrate that our proposed model and method performs better for restoring images in terms of both subjective results and objective assessments than the current state-of-the-art restoring methods. In addition, our proposed method can be a new way to promote their performances for AO image restoration.
Augmented Reality as Learning Medium for Preservation of Traditional Musical Instruments in Bangka

Nowadays the use of technology is something that can be found anywhere. This condition has an impact on the loss of awareness of the Indonesian cultural treasures value in the form of traditional tools. No exception to traditional musical instruments on Bangka Island which began to lose its popularity. At present, most teenagers on Bangka Island cannot play traditional musical instruments. Likewise with the children who do not know and not even know their own regional musical instruments. With the continuation of this condition, it is feared that the existence of traditional Bangka musical instruments will disappear, as well as human resources that can play it. Augmented Reality (AR) is a visual technology that can display objects in 3D. The advantage of this technology is being able to give a display of real-time musical instrument in the form of dynamic 3D visualization of objects and it is in accordance with the movements of the user's smartphone camera. AR has also been applied in various cases as a solution to problem-solving. Therefore, to overcome this problem, an application to preserve the traditional Bangka musical instruments using Augmented Reality (AR) is forming. The 3D objects of musical instruments are made using Maya. Unity is also used as an engine for the application of 3D modeling on the Android system, and Vuforia SDK as it’s augmented reality engine. The results of performance testing obtained 100% running well. From the results of testing the user experience with the HARUS method, it is proven that the system has comprehensibility aspects of 75.98% and manipulability aspects of 80.74% so that the total value HARUS be 78.36%.
Identifying Software Complexity Topics with Latent Dirichlet Allocation on Design Patterns

The scientific literature has paid limited attention to studying software complexity subjects from the design point of view.There is a significant number of papers that study software complexity in relation with maintenance, refactoring, source code changes and that establish metrics for measuring software complexity.This paper compares design patterns and software complexity in order to identify trends of research in the software complexity area.For this purpose, we assess the strengths and weaknesses of software complexity scientific articles through the lens of design patterns.We have reviewed 1068 papers via latent Dirichlet allocation technique (LDA) for our work.We found that existing software complexity paths disproportionate emphasis in how software complexity could benefit from design patterns instead on how contributions to design patterns can benefit from software complexity.
APLIKASI PROPAS (PROGRAM PENGARSIPAN SURAT) PADA KANTOR DESA CIHAMBULU-SUBANG

AbstractThe process of archiving mails at the Cihambulu Village office the writing is still conventional. thereare some deficiency including the process of writing that is not neat, archiving still using the ledger.Therefore required a program that can solving the problem, so the problems that occur at thisCihambulu Village office can be resolved. The concept of designing this system refers to the activitiesof data processing incoming mail, data processing outgoing mail, disposition making, to themanufacture of incoming mail reports and outgoing mail. some stages in the development or designof this program are software requirements analysis, program design, program code generation,program testing. The making this program using JAVA programming language, MySQL as databaseand windows 7 as operating system. Research methods used in the design of this system is the methodof interviewing, observation, and literature study. While the purpose of designing this system is toproduce a mail archiving program so that it can assist employees in data processing incoming mail,data processing outgoing mail, disposition making, making reports incoming mails and outgoingmail.
Threshold trapdoor functions and their applications

The authors introduce a new cryptographic primitive named threshold trapdoor function (TTDF). TTDF is a threshold version of the trapdoor function. Its master trapdoor can be split into many pieces, and a quorum of shared trapdoors can be used to invert the function. TTDF holds one-wayness, even if exposing part of shared trapdoors. Based on TTDF, they give generic constructions of threshold encryption under adaptive corruption model and revocation encryption. Then, they show TTDF can be instantiated under the decisional Diffie-Hellman assumption and the learning with errors assumption. By combining the instantiations of TTDF with the generic constructions, they obtain threshold and revocation encryptions which compare favourably over existing schemes. The experimental results show that their proposed schemes are practical.
Cascaded Algorithm Representation for Purifying Face Dataset with Labeled Noise

Data plays an important role in the development of computational vision. Google, Microsoft and other companies, Harvard, Stanford, and other famous schools and research institutes have published a variety of datasets. Most of the datasets are acquired by engine search, and more or less there will be noise problems. The larger the scale of the datasets, the more noise problems there will be. We put forward a cascaded algorithm to purify Noisy face dataset. Take MS-Celeb-1M dataset as an example, it can automatically generate three datasets-MS1, MS2, and MS3, which are outputs of our cascaded algorithm. Through comparing evaluation results of models trained by different datasets, the model trained by MS2 performs the best on LFW and IJBA, which demonstrates the effectiveness of our algorithm.
Improving Students’ skill in Writing Narrative Text Through Animation Movie

The purpose of this research is to find does the animation movies can improve students’ skill and ability in writing narrative text at SMP Swasta TD Pardede Foundation at VII grade in academic year2018/2019. In this research, the researchers used classroom action research and was conducted in two cycles. Each cycles consist of four steps, there are: planning, action, observing and reflecting. This research used quantitative and qualitative research to collect the data, researchers conduct tests. The tests are pre-test and post-test.The result showed that the teaching students’ skill in writing using video can improve students’ skill in writing narrative text. An increase in mean scores indicates that there is an increase in students’ skill. The student’s pre-test score was 63.69; it increased to 72.50 in the first post-test up to 78.02 in the second post-test. From the result of the study, it can be concluded that teaching writing skill using animation videos can improve students’ writing skill.&#x0D; Keyword: narrative, animation movie
PENGEMBANGAN MODUL ELEKTRONIK BERBASIS LECTORA INSPIRE PADA MATA PELAJARAN INSTALASI MOTOR LISTRIK

The aims of this study are to : (1) find the necessity of electronic module, (2) find the process of the development module, (3) find the expediency, and (4) find the effectiveness of the electronic module based on Lectora Inspire on the subject Electric Motor Installation. The research method used is Research and Development method, while the product development model uses the ADDIE (Analysis,Design, Development, Implementation, and Evaluation). This study uses questionnaire and questions test as the technique of collection data. The results of the study find that : (1) the analysis of the necessity of electronic module shows that as many 100% of the students have not used the electronic module yet, (2) the process of developing the learning as module is done in fivemain stages, which are Analysis,Design, Development, Implementation, and Evaluation, (3) feasibility testing is obtained on average 3,5 with the criteria “Very feasible” and concludes that the electronic module based on Lectora Inspire on teh subject Electric Motor Installation is feasible for learning., and (4) the effectiveness test is done by comparing the posttest grade of the experimental class with the posttest grade of the control class has the result of Tcount = 5,74 with the conlusion that the effectiveness of the use of Electronic Module based Lectora Inspire is higher or equal to the students that do not use the module in improving the learning outcomes of Electronic Motor Installation.&#x0D; Abstrak&#x0D; Penelitian ini bertujuan untuk: (1) mengetahui kebutuhan modul elektronik (2) mengetahui proses pengembangan modul, (3) mengetahui kelayakan dan (4) mengetahui keefektifan modul elektronik berbasis Lectora Inspire pada mata pelajaran Instalasi Motor Listrik. Metode penelitian yang digunakan adalah metode penelitian dan pengembangan (Research &amp; Development) sedangkan model pengembangan produk yang digunakan adalah model ADDIE (Analysis,Design,Development,Implementation, dan Evaluation). Teknik pengumpulan data pada penelitian ini menggunakan angket dan soal tes. Hasil penelitian menunjukan bahwa: (1) analisis kebutuhan mengatakan sebanyak 100% siswa belum menggunakan modul elektronik (2) proses pengembangan modul pembelajaran dilakukan dalam lima tahapan utama yaitu Analysis,Design,Development,Implementation, dan Evaluation; (3) pengujian kelayakan didapatkan rata-rata 3,5 dengan kriteria “sangat layak” dan modul elektronik berbasis Lectora Inspire pada mata pelajaran Instalasi Motor Listrik layak digunakan untuk proses pembelajaran; dan (4) pengujian keefektifan dilakukan dengan membandingkan nilai posttest kelas eksperimen dengan nilai posttest kelas kontrol didapatkan hasil nilai
PRIVACY PRESERVATION OF VIDEOS USING NEUTROSOPHIC LOGIC BASED SELECTIVE ENCRYPTION

Having great photos and video phone, but what happens when you decide to buy a new phone or your storage becomes too full to take any more, back it all on the cloud. It's no secret that videos are a valuable way of communicating information. With attention spans dropping and the need to get larger amounts of information across in a shorter period of time, a well-placed video can take your presentation to the next level these presentations need to be up to date and available wherever you are, back it all on the cloud. Better collaboration and communication through the use of cloud as cloud allows users to access the latest versions of any multimedia data (text, video, images, audio, etc), so they can stay on top changes, which can help businesses to better manage their work flow, regardless of geographical location or spread. Multimedia data like videos stored on cloud are vulnerable to various types of threats like known plain text attach, threat to data, denial of service, etc. To overcome these problems videos need to be encrypted before it gets stored on cloud. Encrypting whole video is a time consuming task, to get rid of time complexity videos can be encrypted using selective encryption many researchers in the state of art have proposed techniques for selective image encryption. In this paper, a frame work is proposed for selective encryption of videos in two stages. The first stage is, Region of interest (ROI) identification performed based on Neutrosophic Logic, watershed image segmentation method. Second Stage is ROI encryption which is performed using the proposed Decision Based Encryption (DBE) Algorithm. The proposed frame work is fast, robust, highly scalable and accurate to meet the need of current internet bandwidth and speed.
An Efficient Target Tracking Algorithm Based on Particle Filter and Genetic Algorithm

In this paper, we propose an efficient hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment problem. In the presented method, the object to be tracked is selected by a rectangular window inside which a few numbers of particles are scattered. The particles’ weights are calculated based on the similarity between feature vectors of the scattered particles and that of the central particle. Before the resampling stage of PF algorithm, particles with the highest weights are evolved using a genetic algorithm. The evolved particles’ coordinates are transferred to the next frame by a random walk model, and the rectangle involving new particles is specified. Moreover, we utilize the idea of partitioning (selecting parts of target in the first frame with a distinct color/texture) and reducing image size to decrease the number of particles. The partitioning idea also helps our method in resolving the occlusion problem. Simulation results demonstrate the outperformance of the suggested approach comparing with other methods in terms of precision and tracking time when it encounters with the challenges such as full and partial occlusions, illumination and scale variations, fast motions, and color similarity between the object and background.