Reviewerly/exHarmony huggingface dataset:
Contribution Of The Discipline Visual Arts In Education Of Ces Students

This article highlights the significant contribution of the visual arts discipline and practical skills to the education of pupils with special educational needs (C.E.S) in primary school. The aim of the research is to highlight the utilitarian and aesthetic character of the products of the C.E.S students activity carried out in the visual arts and practical skills classes. The objectives of the research are aimed at teachers and students with C.E.S. The experiment is the main method used in research. In the lessons of visual arts and practical skills in the making of objects, as well as in their finishing, all psychic processes develop: the memory, the thinking, the imagination, the language, the motivation, the affectivity, the will and the attention of the students as well as the spirit of initiative. The fact that students with C.E.S. practice visual lessons and practical skills come in contact with the richness of shapes and colors of the objects they make makes them not just simple passive admirers, but have a creative attitude towards beauty, which contributes to the education of aesthetic taste, the taste for beauty. The fact that students with C.E.S. practice visual lessons and practical skills. Come in contact with the usefulness of the products they make makes them improve their skills, motor skills, strength and skill.
Сучасні тенденції проектування взаємодії користувачів із інтернет-медіа

The article analyzes the results of analytical research modern tendencies in designing interaction of media with Internet users at the technological level. It is substantiated the relevance of the media texts functioning as a product of the media and media communication means. Communicative components of users’ cognitive interaction with the media in the context of mediaization processes are determined and described. The factors of strengthening the development of the personalization phenomenon are analyzed and methods and technologies of its introduction in the functional media field in the omnicality aspect are considered.The use of dialogue interfaces with chat bots has been characterized as strategic goals re-orientation of media interaction with users, from informing on the definition and satisfaction of their needs to ensure their continued involvement in interactive processes, which in turn requires the development of new scenarios for the supply of unique content in accordance with user interests. The modern approaches concerning the advantages and risks of personalized information supply through dialogue interfaces are outlined.
Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer

The recurrent neural network (RNN) models require longer training time with larger datasets and bigger number of parameters. Distributed training with large mini-batch size is a potential solution to accelerate the whole training process. This paper proposes a framework for large-scale training RNN/LSTM on the Sunway TaihuLight (SW) supercomputer. We take series of architecture-oriented optimizations for the memory-intensive kernels in RNN models to improve the computing performance. The lazy communication scheme with improved communication implementation and the distributed training and testing scheme are proposed to achieve high scalability for distributed training. Furthermore, we explore the training algorithm with large mini-batch size, in order to improve convergence speed without losing accuracy. The framework supports training RNN models with large size of parameters with at most 800 training nodes. The evaluation results show that, compared to training with single computing node, training based on proposed framework can achieve a 100-fold convergence rate with 8,000 mini-batch size.
Dynamic Tenant Provisioning and Service Orchestration in Hybrid Cloud

The advent of container orchestration and cloud computing, as well as associated security and compliance complexities, make it challenging for the enterprises to develop robust, secure, manageable and extendable architectures which would be applicable to the public and private cloud.The main challenges stem from the fact that on-premises, private cloud and third-party, public cloud services often have seemingly different and sometimes conflicting requirements to tenant provisioning, service deployment, security and compliance and that can lead to rather different architectures which still have a lot of commonalities but evolve independently.Understanding and bridging the functionality gaps between such architectures is highly desirable in terms of common approaches, API/SPI as well as maintainability and extendibility.The authors discuss and propose common architectural approaches to the dynamic tenant provisioning and service orchestration in public, private and hybrid clouds focusing on deployment, security, compliance, scalability and extendibility of stateful Kubernetes runtimes.
Image Segmentation method based on Fuzzy Clustering: Application to MR Brain Tissue Extraction

In this work, a fast and robust method for MR brain segmentation is proposed. This method is based on a fast and robust fuzzy clustering algorithm that is initialized close to the searched solution in order to speed up the segmentation process.  To validate the proposed method, we test it on some grayscale images and on a normal brain; brought from the BrainWeb Simulated Brain Database. The experimental results are important in both robustness to noise and running times standpoints.
Fieldtrip: Alternative Learning Communication in Delivering Biological Material for Visual Impairment Students

Education for students with visual impairments requires different learning techniques from students who can see because the limited sense of sight causes blind students to experience some obstacles in identifying and understanding the subject matter, especially in the field of science, which requires the sense of sight and experience to understand the basic concepts.Therefore, the introduction of plant material in the study of Natural Sciences, especially Biology, requires efforts to provide direct experience to students with visual impairments regarding nature and plants through field trip activities.Therefore, this study aims to describe communication learning activities in introducing nature and plants to blind students through field trip activities.This study used a descriptive case study method that attempted to describe the stages of Field trip teaching and learning activities with the results including the cognitive phase implanted an understanding of the type and anatomy of plants through classroom learning with an aid in the form of audiobooks, while for the effective phase efforts were made to grow love, love, and interest in nature and plants, in field trip activities, and finally the psychomotor phase that helps students to be able to differentiate and benefit from plants through the activity of touching, holding, and kissing plants as the learning objects.
Multi-Scale Quantum Harmonic Oscillator Algorithm With Centroid Motion for Global Numerical Optimization Problems

This paper proposes a new approach for function optimization using a new variant of multi-scale quantum harmonic optimization algorithm (MQHOA). The new approach introduces a centroid motion to improve the convergence efficiency, which is called MQHOA with centroid motion (CM-MQHOA). Instead of replacing the worst particle by the current best individual in the quantum harmonic oscillator process in MQHOA, the weakest player is replaced by a current centroid position in the proposed algorithm. Simple mechanisms are added to maintain the diversity of the population and help achieve the global optima in difficult unimodal and multimodal search spaces. The benefits of the proposed algorithm are improved performance in terms of effectiveness, reliability, accuracy, and efficiency. The approach appears to be able to efficiently deal with several unimodal and multimodal benchmark functions. A variety of standard benchmark functions are used to illustrate the proposed approach. The experimental results are compared with several state-of-the-art optimization algorithms. The comparative results indicate the competitiveness of the proposed algorithm and suggest a viable and attractive addition to the portfolio of computational intelligence techniques.
Pendekatan Regresi Nonparametrik Kernel pada Data Indeks Harga Saham Gabungan

Stock is one of the investment instruments that is very popular among investors. One indicator of stock price movements in Indonesia is the Jakarta Composite Index (JCI). JCI data is a time series data about joint stock prices which can be analyzed by time series analysis method. However, with this method there are assumptions that cannot be fulfilled. In this study, JCI data will be analyzed by a nonparametric method namely kernel regression with Nadaraya-Watson estimator. The weekly JCI closing price data from January 2015 to December 2015 is applied using various kernel functions that minimize the value of cross validation to get the optimal bandwidth. The results show that the biweight kernel regression with Mean Square Error = 9030,63 and bandwidth = 108,2 is the best model for predictions.
Methods of recognition by the agent of the unknown environment

The methods used by the agent to recognize an unknown environment are outlined. They include: a method for determining the distance to the nearest visible object and the coordinates of the intersection with this object of the beam (as a simulated direction of the agent's view) directed from the agent; the method of dynamically changing the gradation of the beam angle directed by the agent into the environment; a method for constructing a set of points belonging to objects of the environment visible from the point of the current location of the agent; the method of agent's summarizing a set of points with the construction of semantic map fragments of unknown environment; methods of recognition of the corners of rooms in the environment. Problems in programming 2019; 1: 78-89
Understanding One-Handed Thumb Interaction with a Mobile Touchscreen Device: Effects of Keyboard Size, Gap and Button Shape

Small, mobile touchscreen devices have increasingly permeated into our daily life over the last decade. However, interface design factors that are likely to influence input performance of the devices have not yet been fully investigated. The purpose of the current study was to explore the effects of keyboard size, gap and button shape on usability metrics in thumb interaction with a small, mobile touchscreen device. Twenty-eight volunteers attended a lab-based experiment where they were required to complete a series of letter input tasks with a touchscreen smartphone. The results indicated that keyboard size yielded significant effects on both accuracy rate and task completion time, and button shape and gap exerted significant influence on task completion time only. Interaction effects were observed between keyboard size and button shape on both accuracy rate and task completion time. Keyboard design factors that exerted optimal input performance were mostly preferred by users. Our findings have important implications and can help with the design of usable touchscreen interface, especially for small, mobile touchscreen devices.
THE BUS TRANSPORTATION SERVICE WEBSITES QUALITY PERCEPTION BY STUDENTS IN GREATER AGADIR: EXPLORATORY STUDY.

In the era of digital applications and the development of road traffic, the need is becoming more and more urgent for public transport service companies to engage in order to improve their relations with their customers-in purely personalized marketing actions by offering website services while constantly monitoring their service quality.This article offers, through an exploratory study, an investigation on the perception of the passengers with regard to the service quality of the bus transport company's (ALSA) website in Greater Agadir (Morocco).The results show inadequacies in the design of the site, which negatively impacts the ease of its use.In addition, the quality and quantity of the nonpersonalized information provided to the users are necessary to choose an optimal trip.This puts into question the interaction capacity of the website in its current design.
Voice Changer App in Enhancing Social Expressions Skills Among Pupils

Throughout the world, children are having difficulty in listening effectively and expressing thought through the verbal responses in an appropriate and polite way.These problems can also be observed among the ESL learners in Malaysian primary schools particularly in Sarawak.Social expression is one of the elements in an effective communication.However, some students struggled to respond and expressing their thoughts politely and appropriately due to the insufficient exposure to the English language.This study explored the application of Voice Changer app in teaching social expressions.The Voice Changer is an app that can be downloaded through Google Play Store for free.This action research was carried out with 20 Year 4 pupils from each of the three suburban schools in Sarawak.The data were gathered through pre-test and post-test, observations as well as questionnaire.The findings showed that the students were able to improve their social expressions skills by able to respond politely and appropriately.
TO THE QUESTION OF THE CLASSIFICATION OF COPYRIGHT CONTRACTS

The article discusses issues related to the classifi cation of copyright agreements. First of all, attention is drawn to the fact that copyright agreements are included in the system of civil contracts. Therefore, copyright treaties are inherent signs of civil contracts. The author studies the problems of classifi cation according to various criteria, which allow to determine in general the place of copyright agreements in the system of agreements on the disposal of property rights of authors. Various ways of distinguishing classifi cations of copyright treaties are considered. The criteria for the classifi cation of copyright treaties include: the type of work, the method of using the work, is the work complete or must be created. In addition, questions are being considered about the possibility of classifying copyright treaties for accepting «dichotomy». The article examines the issue of classifi cation of copyright treaties by subject composition. In this case, attention is drawn to the fact that in one case the party under the author’s contract will be the original subject (the author), and in other cases the derivative subject (the person to whom exclusive rights have been transferred). It is also proposed to classify copyright agreements depending on the purpose of the copyright agreement. One of the most important goals of the copyright agreement is to bring the work to the attention of a wide range of people.
Theory and practice of covert illegal networks

The book by Cunningham, Everton and Murphy occupies an important place in the literature dedicated to the application of social network analysis in the study of "dark networks". On the one hand, it is a good manual that can be of interest to both a beginner and an advanced researcher in social network analysis. On the other hand, the examples proposed by the authors analyze data of great interest, being good practical examples of the application of the theory learned.
Fragile States in African Economic Communities as Exemplified by the Economic and Monetary Community of Central Africa (CEMAC) – Investment Issues

The region of Central Africa is abundant in both fragile states and economic communities. According to the theory of international economic integration, in the long term such integration processes should stimulate not only short-term trade effects but also long-term investment effects. The article aims to answer the question whether and how membership of an economic community by a fragile state influences the occurrence of dynamic integration effects. The examination is based on the example of the Economic and Monetary Community of Central Africa (CEMAC). The article uses an analytical and descriptive method on the basis of domestic and foreign literature sources and UNCTAD and IMF statistics. The analysis suggests that from the point of view of member countries of African economic communities, the mere fact of membership of such a community is no vital driver of FDI within the internal market, particularly important to capital-poor fragile states.
TDBot at SemEval-2019 Task 3: Context Aware Emotion Detection Using A Conditioned Classification Approach

This paper presents the system developed to detect the contextual emotion (SemEval19 Task 3 (Chatterjee et al., 2019)) from conversational dialogue.The system models the fact that emotion of a dialogue depends on the context of the conversation and not independent.It uses multiple layers in the deep learning model where each layer bootstraps with the context of what has already been said in the conversation.
Forensic examination of handwriting and thumb impression-A case study

Handwriting Science and Finger Print examination both are significant branches of Forensic Science.This article illustrates one of the important cases related to cheating by impersonation in constable recruitment examination.The case was submitted in Central Forensic Science Laboratory CBI, New Delhi for examination and opinion on handwritings as well as finger thumb impressions with detailed questionnaires.Inter see examination and comparison of questioned document with standard document reveals that both the sets were consistent in detailed characteristic features and execution of strokes in construction of letter and their combination in words.The authorship of questioned documents was matched with the supplied specimen documents.Also, the questioned thumb impressions were compared with the standard thumb impression and were found consistent between both the sets.The case was examined thoroughly by applying the principle of handwriting science and finger thumb impression.The case was successfully solved on the basis of forensic analysis of handwritings and finger thumb impressions.The scientific evidence was produced during court testimony by the experts and opinion was accepted in the court of law and finally the suspected person was convicted.
Akuntansi Forensik dan Audit Investigatif dalam Pengungkapan Fraud

Forensic accountants are tasked with providing legal opinions in litigation. Besides that, there is also the role of forensic accountants in the field of law outside the court (non-itigation) for example in helping to formulate alternative settlement cases in disputes, formulation of compensation calculations and efforts to calculate the impact of termination / breach of contract. Investative audit, a form of audit or examination that aims to identify and uncover fraud or crime by using approaches, procedures and techniques commonly used in an investigation or investigation into a crime. Because the purpose of an investigative audit is to identify and disclose fraud or crime, the approaches, procedures and techniques used in investigative audits are relatively different from the approaches, procedures and techniques used in financial audits, performance audits or audits with other specific objectives. In an investigative audit, an auditor initiates an audit with presumptions / indications of possible fraud and crimes that will be identified and revealed through the audit to be carried out. Such conditions, for example, will affect who will be interviewed in advance or what documents must be collected first. In addition, in an investigative audit, if it has authority, the auditor can use procedures and techniques commonly used in the investigation and investigation of crimes, such as surveillance and searches. Fraud is the process of making, adapting, imitating or objects, statistics, or documents, with the intent to cheat. But we can prevent fraud and we can avoid fraud is very detrimental to various parties because it can destroy government and business. Fraud is in the form of corruption in its wider destructive power. Basically the scope of forensic accounting is fraud in the broadest sense.&#x0D; Keywords: Forensic Accounting, Investigative Audit and Fraud
PEMANFAATAN ALAM TERBUKA SEBAGAI SUMBER BELAJAR BIOLOGI

Learning activities are an effort to improve the quality of education.The learning process is carried out in order to achieve competent human resources.Various ways are done to achieve the results as expected, one of which presents various forms of learning resources so that stud ents gain experience that can improve their own quality.Learn one source of learning for students who study science/biology, namely the environment / open environment.One of the outdoors that can be used as a learning resource is the river.This study aims to describe the use of nature as a source of learning.The object of this research is the 38B Banjarrejo river, the study was conducted by observing the state of the river.The research results are in the form of descriptions.It is known that the 38B Banjarrejo river has potential usefulness to be used as one of the learning resources for junior high school / MTs students in Metro City.The use of the river as a learning resource can be used as a process of training problem-solving skills and can improve the character abilities of students by looking at the state of the surrounding environment that requires handling problems.
PERFORMATIVE HATE SPEECH ACTS. PERLOCUTIONARY AND ILLOCUTIONARY UNDERSTANDINGS IN INTERNATIONAL HUMAN RIGHTS LAW

The first part of this work analyses the concept of hate speech and its legal-philosophical foundations linked to freedom of speech, through the use of tools provided by current trends in the theory of performativity. The second part, in turn, aims to suggest two possible perspectives on the translation of these philosophical demands into positive legislation within human rights law: the first one based on a liberal conception of freedom as non-interference and a perlocutionary understanding of performative speech acts; the second one adopting a neo-republican interpretation of freedom as non-domination and an illocutionary understanding of speech acts. Finally, the work aims to critically sift through the application of the theory of performativity to the legal definitions that hate speech has acquired within this context.
Uniform Selection Algorithm for Big Data Random Process and Repeat Use Based on Topological Location

Since the information revolution, massive online content has been placed on the Internet, and it has become possible to use it indefinitely as long as it is in demand. In the past, such content was disposable, but products having higher frequency of use have been explosively increasing because of the development of technology. Existing algorithms are biased towards simple sorting and aggregation. In this paper, we define an algorithm based on topological location that guarantees uniform selection, weight selection, and fast processing speed for problems that occur from mass consumption and repeatable reuse of tangible and intangible products, and we attempt to demonstrate these features through experiments. Disadvantages of the simple random sampling method are that it cannot guarantee a uniform selection and that it does not offer a way to select using different weights. Hence, the proposed algorithm assigns priority to the uniform probability distribution without making an assumption about the distribution. Further, by narrowing the selection range by digitizing the selection frequency to the topographical position, uniformity of random selection is ensured, and the processing speed for mass selection can be dramatically increased.