Reviewerly/exHarmony huggingface dataset:
Features of the Development and Implementation into the Educational Process of VSTU of the International Master’s Program in Innovative Technologies in Energy-Efficient Buildings for Russian and Armenian Universities and Stakeholders in the Framework of the International Project + MARUEEB 2015–2018

The article describes the phases of familiarization, development and implementation of the international master’s program in innovative technologies in energy-efficient buildings for Russian and Armenian universities and stakeholders in the framework of the international project Erasmus+ MARUEEB 2015-2018 into the educational process of Voronezh State Technical University. The specific features and uniqueness of this program for the university and the city of Voronezh are revealed, and the concept of teaching methods developed according to the recommendations of the European partner universities on the Erasmus+ MARUEEB grant are also presented.
On Using Spectral Estimation for Feature Extraction of Microseisms at Cotopaxi Volcano

This paper presents a feature extraction method by using spectral analysis techniques of microseisms, this allows to classify events correctly due to microseisms are the most important sources of information in order to launch an effective early warning in case of an imminent volcanic eruption to safeguard human lifes. We work based on a database contains microseisms representing volcano-tectonic, long period, hybrids, and tremors, which were previously labeled by the Instituto Geofísico de la Escuela Politécnica Nacional, data obtained from Cotopaxi volcano with a broadband seismometer. The results, obtained by analyzing the power spectral density, have shown three main features that allow to discriminate among these types of events with an accuracy of 93%.
Adversarial Mixup Resynthesizers

In this paper, we explore new approaches to combining information encoded within the learned representations of autoencoders. We explore models that are capable of combining the attributes of multiple inputs such that a resynthesised output is trained to fool an adversarial discriminator for real versus synthesised data. Furthermore, we explore the use of such an architecture in the context of semi-supervised learning, where we learn a mixing function whose objective is to produce interpolations of hidden states, or masked combinations of latent representations that are consistent with a conditioned class label. We show quantitative and qualitative evidence that such a formulation is an interesting avenue of research.
An Error Analysis of The Cohesive Devices Made by The Students In Writing Paragraph (A Study of English Department Students of Letters Faculty)

This study raises issues about what it means and how to apply sipakatau, sipakalebbi, sipakainge in Bugis culture. This study aimed to get an idea of the meaning sipakatau, sipakalebbi, sipakainge, in Bugis culture and to know how it is applied in Bugis culture. There were two benefits in this study, the benefits of theoretical and practical benefits. The model of this research was qualitative models. The stages in this study were under preparation, data collection, and data processing stages. Data were analyzed based on the words, sentences and paragraphs. Analysis of the data in this study presented informally, by formulating with ordinary words. The result of this study indicate that the meaning of sipakatau is mutually humanizing, sipakalebbi is mutual understanding or respect and sipakainge is remind each other. Based on the observations stated sipakatau, sipakalebbi, sipakainge days ago still heal tightly by Bugis community of Wajo, because they think that this culture that has a message from the ancestors. Whereas in the present, in urban culture, the bugis culture is heading to extinct due to globalization, but in rural areas there is still a applied well.&#x0D;
APRP: An Anonymous Propagation Method in Bitcoin Network

Due to little attention given to anonymous protection against eavesdropping attacks in Bitcoin network, this paper initiatively proposes a solution to Bitcoin anonymization based on network structure. We first present a general adversarial network model for formulizing deanonymization attack, then present a novel propagation method APRP(Adaptive PageRank Propagation) that adopts PageRank as propagation delay factor and constantly adjusts PR-value of nodes to adapt to network dynamics. Experiments on both simulated and real Bitcoin networks confirm the superiority of APRP in terms of 20-50% performance enhancement under various deanonymization attacks.
The Impact of Key Success Factors Implementation on Profit Performance Within Malian Small Size Industry SODEMA

This study highlights the impact of key success factor on profit performance. The recommendations should be used as guideline for Malian enterprises.The quantitative and qualitative methods, primary data collected by questionnaires and interviews are used. Secondary data are gotten from articles, journals and online resources. The research framework was analyzed using multiple regression models. Hypothesis test is adopted to accept or reject the hypothesis formulated in this research. Excel software have been used to perform the test, the measures of p-value, coefficient of determination, the adjusted coefficient of determination, the degree of freedom, the coefficient of Fisher and its critical value.The results suggest that key success factors have significant impact on profit performance. Key success factors have a positive impact on profit performance is valid hypothesis. This study makes several contributions to research and theory of key success factors and profit performance. A greater understanding of key success factors and profit performance provided further investigation of the relationship between of key success factors and profit performance. This model can be used by other enterprise to increase its profit performance. Through the use of this model, enterprise can quickly identify areas requiring urgent improvement.SODEMA industry needs improvement in chain communication systems, manufacturing techniques, and transportation capabilities as alternatives to investing in large inventories and production capacities. The theoretical model developed in this study is applicable in practice.
UTILIZATION OF INTERNET CONTENT AS A LEARNING SOURCE OF IPS IN SMP Negeri 9 BANDUNG

ABSTRACT This research is motivated by the interest of researchers to see the phenomenon of free internet usage in the SMP Negeri 9 Bandung environment. Students always bring cellphones to school, teachers always use the internet as a learning resource to make it easier for students to understand the material, and the facilities available at school cannot be optimally utilized as social studies learning resources. The method used in the collection of learning data that utilizes the internet as an IPS learning resource through observation, guidelines for observation, interviews, and documentation. The target of this study was class VII-3 of SMP Negeri 9 Bandung. The results of the study show that teachers use the internet as a source of social studies learning to make learning more effective, using the internet will increase the knowledge and insights that students have, the form of internet use in SMP Negeri 9 Bandung, namely the web enhanced course, where the internet is used to support quality in face-to-face learning between teachers and students, there is a positive impact generated through the internet as a social science learning resource, namely students can access learning whenever and wherever, making learning easier so students become independent in seeking information. The negative impact caused for students is to become a plagiarist because they can freely access information, become lazy to learn because they always play games so they forget their obligations as students and students can access content that is not good. Keywords: Internet, Social Studies Learning Resources * Main author
Digital Identity: A Case Study of the ProCIDA Project

The role of cloud computing in today’s world of globalization has seen as a major contribution for application development and deployment. Many enterprises see cloud computing as a platform for organizational and economic benefit. Managing digital identities and access control for cloud users and applications remains one of the greatest challenges facing cloud computing today. The aim of the paper is to summarise the results of the ProCIDA research project funded under Regional Operational Programme “Insieme x Vincere”, co-financed by the European Regional Development Fund, where a digital platform has been developed in order to simplify access to different kind of digital services (public and private) using the digital identity.
Greetings for IBRC2019

Since 2000, we Biophilia members have payed attention to the Motivative Exercise program fit to group training in long term nursing home or community field for coming aging crisis.
Blockchain Technology: Revenue Streams of Long Tail Business Model

Blockchain technology is predicted to have a bright future as disintermediate of the financial institution become more popular.This research analysis the potential revenue streams through blockchain technology.However, the promising of disintermediation of their technology leaving turmoil all of start-up to release the decentralize system because of there is no revenue.We proposed long tail business model in term of release initial coin offerings (ICO) based on physical asset-backed of cryptocurrency.Rather than close platform to release ICO by the provider of cryptocurrency, we tends to open the platform to niche market like personal businessman, MSMS's or others to releasing their ICO.The result show many users of cryptocurrency make an ICO to raise funds and also many transaction of currency exchange occur in the platform.It look like high product of ICO with low of volume of funds but currency exchanges will often occur.Therefore, margin of currency exchange will made a new revenue streams for blockchain technology start-up to monetize their platform to shift to another stage of growth and stability.
Annotating formulaic sequences in spoken Slovenian: structure, function and relevance

This paper presents the identification of formulaic sequences in the reference corpus of spoken Slovenian and their annotation in terms of syntactic structure, pragmatic function and lexicographic relevance.The annotation campaign, specific in terms of setting, subjectivity and the multifunctionality of items under investigation, resulted in a preliminary lexicon of formulaic sequences in spoken Slovenian with immediate potential for future explorations in formulaic language research.This is especially relevant for the notable number of identified multi-word expressions with discourse-structuring and stance-marking functions, which have often been overlooked by traditional phraseology research.
Development of Module Teaching Materials Writing Short Texts of Literacy-Based for Students of Senior High School Parulian 1, Medan, Indonesia

The aims of this study is to find out the development of module teaching material of writing short story of literacy based in Senior High School Parulian 1 medan. The research method of this study is qualitative research. The result show that The development of module teaching materials is carried out by determining the title, objectives, material selection, framework preparation, and collection of relevant materials with short story writing material and the techniques used in writing short stories. In addition, to assess the feasibility of the product being developed, validation tests were conducted involving expert lecturers, and Indonesian language teachers, as well as limited student testing. Feasibility assessment of this module includes 4 aspects, namely aspects of content / material, presentation, language, and graphics.
DoubleLex Revisited and Beyond

The paper proposes Maximum Residue (MR) as a notion to evaluate the strength of a symmetry breaking method. We give a proof to improve the best known DoubleLex MR upper bound from m!n! - (m!+n!) to min(m!,n!) for an m x n matrix model. Our result implies that DoubleLex works well on matrix models where min(m, n) is relatively small. We further study the MR bounds of SwapNext and SwapAny, which are extensions to DoubleLex breaking further a small number of composition symmetries. Such theoretical comparisons suggest general principles on selecting Lex-based symmetry breaking methods based on the dimensions of the matrix models. Our experiments confirm the theoretical predictions as well as efficiency of these methods.
Development of Reading Materials Environment-Based in VII Grade Students of Junior High School (SMPN) 1 Kuala, Indonesia

This study aims is to find out the development of reading material by using environment base in Junior High School (SMPN) 1 Kuala. The research study used quantitative method by using sample in VII grade student Data with total 160 students from 5 clasess. The result show multiple intelligences based writing modules is more effective in improving student learning outcomes, this is indicated by the learning outcomes of students who are taught to use a module developed which is higher by 2460 with an average of 76.75% compared to the average value of students using 2220 textbooks. an average of 69.12%.
Authentic Reading Materials in Storybirds for Reading to Write: The Students‘ Voices

The purpose of the study is to describe the students' opinion on the use of storybird for writing narrative in classroom context.The design of the study was case study design.The subjects of the study were the students who join creative writing class in a private university in Pasuruan.The instrument used to collect the data was mainly interview and documentation.The result of the study shows that (1) most of the students learn how to create short stories in the storybird from reading the stories published in the platform, (2) the problems the students encounter were technical problem and writing problem.(3) the solutions were among others, making use of the best way of free the trial version, writing a draft before writing, and checking grramatical issues by using grammar online application as well as classroom feedback The students believed that storybird is suitable to be used for creative writing course.
An Innovative Technique to Encrypt Videos for Authenticity or Ownership Protection Using PCA Applied in E-Commerce

Whenever there is a copywrite protection an article or official material it is usually encrypted with specific information that can only be decrypted by the person who created the document and the owner can claim the ownership of the original document. This type of encryption is called watermarking. This can be used by different e-commerce sites like Netflix, Amazon Prime, who can protect their media through the process of watermarking. As computational power is increasing along with applied mathematics, the application area is now available for multimedia files. This article focuses on encryption of video files so that the owner can claim the ownership of the created video file. The technology also enables the secrecy of the encryption between the sender and the receiver so that receiver can decrypt the file and receive the ownership that is being transferred from the user. In another way, any e-commerce site can claim the ownership of their media if it is pirated.
An Enhanced Browser Reference Model

Browsers are prime software applications in modern computing devices.They are essential in accessing internet rich content.Access to these contents pose a high memory demand on the host device thus affecting the user browsing experience and running of other programs.The architectural model adopted by the current browsers lacks a memory control mechanism that would prevent memory hogging which results to device crawl.The paper critically addresses the weaknesses of the contemporary browser reference architecture with a view to controlling memory hogging by integrating a memory analyzer into existing architecture.
Representation of Mutual Cooperation Values as Local Wisdom in the Text of Pasambahan Manjapuik Marapulai in Solok City

One of the values of local wisdom that is still inherited by the Minangkabau people and which is still maintained by indigenous peoples in the city of Solok is pasambahan.Pasambahan is a sacred ceremony, because every ceremony is carried out in a customary manner, the pasambahan must be present.Once the importance of pasambahan in the marriage process, if it is not carried out pasambahan ceremony can have adverse consequences on ongoing activities.Pasambahan manjapuik marapulai 'pasambahan picking up the bridegroom' is one of the oral traditions of Minangkabau people in Solok city.In Minangkabau tradition, marapulai 'bridegroom' is picked up customarily by the bride's family to be married and juxtaposed in the bride's family house.The marriage process of manjapuik marapulai in Minangkabau customs is carried out in mutual cooperation.In text of pasambahan manjapuik marapulai, it is reflected the values of mutual cooperation which is the local wisdom of Minangkabau people in general, the people of Solokcity in particular.The purpose of this research is to represent the values of mutual cooperation in the text of pasambahan manjapuik marapulai as the local wisdom of the Minangkabau people in general, the people of Solok city in particular.This study uses qualitative methods with purposive sampling technique.In addition, a focus group discussion (FGD) was also conducted on various fields of speech.The data of this study are oral text of pasambahan manjapuik marapulai in Solok city which have been transcribed.In addition, this study also uses written sources to support the primary data.Data analysis is begun with data reduction, data presentation, and verification.Based on conducted research, it is found the values of mutual cooperation as local wisdom in the process of traditional marriage ceremony in Solok city.The values of mutual cooperation are togetherness, unity, mutual respect and tolerance.
Developing Edge Services for Federated Infrastructure Using MiniSLATE

Modern software development workflow patterns often involve the use of a developer's local machine as the first platform for testing code. SLATE mimics this paradigm with an implementation of a light-weight version, called MiniSLATE[? ], that runs completely contained on the developer's local machine or scales to larger machines (laptop, virtual machine, or another physical server). MiniSLATE resolves many development environment issues by providing an isolated and local configuration for the developer. Application developers are able to download MiniSLATE which provides a fully orchestrated set of containers on top of a production SLATE platform, complete with central information service, API server, and a local Kubernetes cluster. This approach mitigates the overhead of a hypervisor but still provides the requisite isolated environment. They are able to create the environment, iterate, destroy it, and repeat at will. A local MiniSLATE environment also allows the developer to explore the packaging of the edge service within a constrained security context in order to validate its full functionality within limited permissions. As a result, developers are able to test the functionality of their application with the complete complement of SLATE components local to their development environment without the overhead of building a cluster or virtual machine, registering a cluster, interacting with the production SLATE platform, etc.
Write Speech Text Learning Using the Audio Visual Media

Good learning is learning that is equipped with appropriate learning media to achieve learning goals. Conformity includes suitability of the needs of students, local environmental conditions, and the ability of teachers. A good learning media is media that can facilitate the achievement of learning objectives. Learning to write speech texts for junior high school class IX students requires learning media as a means of supporting the ease of achieving learning goals. Along with the development of science and technology, students' needs for learning media are also growing. Students prefer and are more interested in IT-based learning media (science and technology) in the form of audio-visual media. Students prefer to see/observe objects to stimulate ideas in writing speech texts.
A New One-time Address Scheme for Blockchain

One-time addresses have been an effective way to protect privacy of users in blockchain. However, most of existing one-time address schemes either consume extra storage for keys or are not quite efficient. To overcome these drawbacks, we proposed a new kind of one-time address scheme in which a user only needs to keep a single key pair. The proposed one-time address scheme reduces the storage of the key pairs and provides privacy for users in blockchain. Analysis and experiment results show that our scheme is efficient and secure as well.
Solving Multiagent Planning Problems with Concurrent Conditional Effects

In this work we present a novel approach to solving concurrent multiagent planning problems in which several agents act in parallel. Our approach relies on a compilation from concurrent multiagent planning to classical planning, allowing us to use an off-the-shelf classical planner to solve the original multiagent problem. The solution can be directly interpreted as a concurrent plan that satisfies a given set of concurrency constraints, while avoiding the exponential blowup associated with concurrent actions. Our planner is the first to handle action effects that are conditional on what other agents are doing. Theoretically, we show that the compilation is sound and complete. Empirically, we show that our compilation can solve challenging multiagent planning problems that require concurrent actions.
Enseñanza de Física en Criminalística: Un Enfoque Práctico al Tema de Colisiones Inelásticas

Physics is one of the most important sciences in Criminology, which can be used to explain a vehicular collision until the reconstruction of a whole criminal scene.This paper focuses on how a system of learning styles based on 4MAT system teaching strategy for undergraduate students in Forensic Sciences and Criminology was applied.For each proposed teaching activity, a learning test was requested through which the students would demonstrate their ability to understand and solve problems.The application of this system sought to reduce the problems faced by graduates in the application of this science in their lifetime profession.During the development of the implementation of this methodology, several shortcomings in manual skills and learning strategies were resolved.
Autoregressive Models and Non-Local Self Similarity in Sparse Representation for Image Deblurring

Local area within a normal natural image can be thought as a stationary process. This can be modelled well using autoregressive models. In this paper, a set of autoregressive models will be learned from a collection of high quality image patches. Out of these models, one will be selected adaptively and will be used to regularize the input image patches. In addition to the autoregressive models, a non-local self-similarity condition was proposed. The autoregressive models will exploit local correlation of individual image, but a natural will have many repetitive structures. These structures, which are basically redundant, are very much useful in image deblurring. The performance of these schemes is verified by applying to image deblurring.