Reviewerly/exHarmony huggingface dataset:
Quasi-fractal Algebraic Systems as Instruments of Knowledge Control

This paper presents a discussion about two interrelated topics: the definition and use of the probabilistic matrix of system identification in the management and regulation of smart systems, and ways how to refine the models of the functioning of smart systems. The probabilistic identification matrix of the system can be used to study and regulate systems with incomplete statistical data. To solve the second question, the concept of a quasi-fractal algebraic system is introduced, which allows us to look at the problem of forecasting from a different point of view. The concept of an elementary controlled system based on the use of first-order logic methods is also introduced. The level of predictability of the system is established. This paper is of theoretical character. The results obtained in it can be used to regulate learning systems in monitoring the knowledge of students in smart universities and in regulating financial and economic smart systems. In order to achieve these goals, we used the algebraic smart systems’ formalization technique.
Dampak Pembangunan Modern Terhadap Keberadaan Situs Buni

Buni site is one of the prehistoric relics in Bekasi Regency which has an important role for the development of history in the northern part of Java Island.There are several potential archeological remains at the Buni Site in the form of metal artifacts, stone axes, gold jewelery, beads, earthenware and conch shells. The existence of modern development around the Buni Site makes the Buni Site threatened its preservation. There are two modern developments flanking the Buni Site, which is a ship factory managed by PT. Tesco Indomaritim and PLTU (Steam Power Plant) managed by PT. Cikarang Listrikindo. This study aims to address the formulation of the problem the impact of modern development on the existence of the Buni Site and conservation efforts at the Buni Site. This study use the Archeology Resource Management theory. Data collection methods used were observation, literature study, and interviews. Data analysis techniques used ware qualitative and SWOT. There are two impacts given by modern development on the Buni Site. First, the damage and lost of the Buni site, the lost of the site area has made the Buni site narrow and lost the findings that have the potential to be left behind in the area of ??the ship factory and the power plant. Secondly, Muara Bakti Village, where Buni Site is located, is no longer known by the wider community as the Archaeological Site. Buni site is currently not used as a cultural heritage site, which can affect its preservation. Development of the Buni Site area as a tourist attraction, in the form of the Buni Cultural Museum can help preserve the Buni Site from damage.&#x0D;
Energy Saving with the Help of Information and Measuring Systems: Security System Modeling

Introduction. In conditions of uncertainty and risk, the task of saving energy production or consumption costs in the aspect of safety is relevant. An effective tool for solving the problem is the use of information and measurement systems. Aim. Building safety models for energy saving using information and measurement systems based on a systematic approach. Materials and methods. Traditional approaches to solving problems using information and measurement systems do not take into account the systematic approach to risk accounting. New models and method based on a systematic approach to risk accounting are proposed. The model of the security system includes a set of necessary energy-saving measures. The model for assessing the effectiveness of a security system for energy-saving measures takes into account the interests of all information and measurement systems participating in the implementation process. The method for creating a security system takes into account the interconnections of energy-saving measures. Results. The developed models and the plan for creating a security system make it possible to minimize economic, informational, psychological, environmental and didactic risks when implementing energy-saving measures using information and measurement systems. Conclusion. The implementation of the developed models and the plan for creating a security system at the Chelyabinsk thermal power station-2 ensured a reduction in risks when performing energy-saving measures using an automated system of integrated energy metering.
Combining word embeddings and convolutional neural networks to detect duplicated questions

Detecting semantic similarities between sentences is still a challenge today due to the ambiguity of natural languages. In this work, we propose a simple approach to identifying semantically similar questions by combining the strengths of word embeddings and Convolutional Neural Networks (CNNs). In addition, we demonstrate how the cosine similarity metric can be used to effectively compare feature vectors. Our network is trained on the Quora dataset, which contains over 400k question pairs. We experiment with different embedding approaches such as Word2Vec, Fasttext, and Doc2Vec and investigate the effects these approaches have on model performance. Our model achieves competitive results on the Quora dataset and complements the well-established evidence that CNNs can be utilized for paraphrase detection tasks.
Sentiment Analysis Berbasis Algoritma Naïve Bayes Classsifier untuk Identifikasi Persepsi Masyarakat Terhadap Produk / Layanan Perusahaan

Twitter is the most popular microblogging service in Indonesia, with nearly 23 million users. In the era of big data such as the current tweets from customers, observers, potential consumers, or the community of users of products or services of a company will greatly help companies in knowing the industrial and consumer landscape, so as to determine strategic plans that will contribute to the company's growth. However, the use of data from social media such as Twitter is hampered by a number of technical difficulties in the process of collecting, processing, and analysing. Specifically, this research applies the Naïve Bayes Classifier algorithm in the process of sentiment analysis of tweets data into a prototype application that is intended to make it easier for companies / organizations to know people's perceptions of their products or services. The NBC algorithm was chosen because this algorithm is able to do a good classification even though it uses small training data, but has high accuracy and process speed for handling large training data. From the evaluation results found a prototype running well where the keywords entered will trigger the Twitter API to crawl the data then the mining process can be monitored at each stage and at the end of the process, the system will show the final sentiment level values and the representation of the calculation results log in a chart form over a certain period of time.
FEATURES OF INFORMATION COVERAGE IN THE MATERIALS OF INTERNET-MEDIA

The issue of the coverage of journalistic materials in online-publications is very important and relevant today.It cannot be said that modern journalists are not trying to control the writing of their articles at all.There are many professional journalists who really put their soul into the work, considering the ethical standards and writing by modern methods of writing and preparing materials, according to the type of specific of the media.However, in order to improve the work of journalists, modern journalism needs to learn the exact knowledge and application of ways to monitor the content of various types of media.Important skills that a modern journalist should possess are, first and foremost, literary ability, language and style of the author, the ability to express their thoughts and reveal the position of another, the ability to accurately and vividly tell about the event, to convey the fact, evaluate and explain it.His professional competence is also determined by the level of social responsibility to society and the audience, the sense of social justice and the level of his objectivity.It is important that the information which is provided -is true, so that the virtual reality picture adequately reflects the reality.The purpose of this article is to explore contemporary ways and methods of presenting articles and journalistic materials, depending on the type of media in which journalists submit their material.Key words: methods of writing of journalistic materials; online-publications; journalist on the Internet; features of the preparation of the article.Юліана Казімова ОСОБЛИВОСТІ ВИСВІТЛЕННЯ МАТЕРІАЛІВ У ІНТЕРНЕТ-ВИДАННЯХДосліджено особливості висвітлення журналістських матеріалів у інтернет-ЗМІ.Це питання актуальне сьогодні, адже журналістів очолюють люди різних рівнів, від чого і залежить спосіб подання інформації у ЗМІ.Також іноді трапляються випадки, коли журналісти онлайн-ЗМІ подають інформацію не у форматі інтернет-видання, публікують занадто довгі або надто короткі матеріали
LibGuides: Changes in the Library: Primo VE

This is a guide to the upcoming changes to the ICC Library, including new login information, OpenAthens, and Primo VE.
보육교사의 배려적 사고가 교사-영유아 상호작용에 미치는 영향

The purpose of this study is to investigate the effects of childcare teachers'' care thinking on teacher-child interaction and to find out ways to improve the quality of teacher-child interaction. The subjects were 200 childcare teachers. As a research tool, self-report questionnaires were used to evaluate the caring thinking of the childcare teachers and the interactions between the teachers and the children. The collected data were analyzed using Pearson correlation analysis and stepwise regression analysis. The results of the study are as follows. First, there was a significant positive correlation between the caring thinking of childcare teachers and all sub-factors of teacher-child interaction. Second, ‘non- directive attitude’, ‘responsibility’, and ‘empathy’ have significant influences on teacher-child interaction. On the teacher-child emotional interaction, ‘non-directive attitude’, ‘respect’, ‘responsibility’ and ‘empathy’ of those sub-factors of caring thinking have a significant impact. ‘Empathy’, ‘responsibility’, ‘non-directive attitude’, and ‘obedience’ have a vital influence on teacher-child language interactions. ‘Non-directive attitude’, ‘responsibility’, and ‘obedience’ have a significant influence on teacher-child behavioral interactions. This suggests that it is necessary to provide an opportunity for preservice teacher training and in-service teacher training to help them form caring thinking as a practical personality education beyond a theoretical understanding in a teacher education program as a way to improve the quality of teacher-child interaction.
IBDP On the Condition of the written test Reflection on the level of Korean Education

Appeals for the introduction of public education by the IBDP are interpreted as arguments that the written test should be able to replace the multiple-choice test, and that it is important to create conditions to support it. We would like to examine on what conditions the IBDP has made the written test a substitute rather than a complement to the multiple-choice test, and whether such conditions have been created. First, IBDP made the curriculum simple. Second, it respected the autonomy of the class. Third, since it divided the appraisers into two, it was confirmed that the written test could replace multiple-choice tests. In general, progressive changes to create such conditions are being identified in the revised 2015 curriculum. For educational innovation, written tests should be able to replace multiple-choice tests, and appropriate conditions should be established in the three aspects of curriculum-class-assessment. That is the reason IBDP has also been mentioned as an alternative, and it needs to be deliberated in the introduction of public education.
Indonesia tuberculosis morbidity rate forecasting using recurrent neural network

Several insurance companies sell health insurance products that cover tuberculosis risk. One principal component to determine the insurance premium that must be paid by the insured is the morbidity rate. Therefore, morbidity rate forecasting is essential for an insurance company. In this paper, we present the Indonesia tuberculosis morbidity rate forecasting using Recurrent Neural Network (RNN) which is part of deep learning. Min-Max Scaler was applied to the data before it is used as RNN input to achieve better prediction. Unfortunately, the result shows that RNN performance is not satisfactory due to limited morbidity rate data in Indonesia.
One Perceptron to Rule Them All: Language, Vision, Audio and Speech

Deep neural networks have boosted the convergence of multimedia data analytics in a unified framework shared by practitioners in natural language, vision and speech. Image captioning, lip reading or video sonorization are some of the first applications of a new and exciting field of research exploiting the generalization properties of deep neural representation. This tutorial will firstly review the basic neural architectures to encode and decode vision, text and audio, to later review the those models that have successfully translated information across modalities.
THE INFLUENCE OF DIFFERENTIATED ASSIGNMENTS (SCAFFOLDING METHODS) ON FIRST-YEAR STUDENTS-TEACHERS’ ACADEMIC PROGRESS

The aim of this study was to determine the influence of differentiated assignments, using scaffolding methods, on the possibility of improving first-year student teachers' academic progress in a South African university.Research participants (n=296) were divided into two groups, Group A (n=136) and Group B (n=160), who were engaged in this study during the first semesters of their courses in the years: 2012 (group A) and 2013 (Group B).Only Group B was supported with differentiated assignments that included scaffolding methods.The participants of both groups completed two assignments and a test in the first semester.Results were recorded and compared to formulate findings and recommendations.The results presented in this article will assist lecturers in evaluating differentiated, scaffolding activities, that could be used to support first-year students who are encountering various learning barriers in higher education.These extra scaffolding methods showed to contribute to the academic success of first-year student teachers.
Pasantía de grado en Llorona records

Along its trajectory, the Llorona Records label has been one of the fundamental pieces in the country's independent scene. It has worked with projects afine to the Colombian tradition, promoting and producing artists as big as Los Gaiteros de San Jacinto, Canalon de Timbiqui and Elquin Robinson, among others. During his yearlong involvement in the label's work, the student undertook an investigation that allowed him to present a project in the intersection of several approaches to the musical career.The project is composed by three axes: (1) the musical management of a record label, (2) the technical labor of the sound engineer considering the rentability of a recording studio and (3) the creativity of the musician with the availability of new forms of creation and technology use. The project includes a research about the recording of musical pieces and copyright issues in traditional music, the optimization of music distribution in streaming platforms and the reinterpretation of roots music from the different synthesis processes offered by today's technology, as well as an exploration about multidisciplinary staging of creative pieces.
Generation of perfect W-state and demonstration of its application to quantum information splitting

We report the first experimental realization of perfect W-state in a superconducting qubit based system. In contrast to maximally entangled state, the perfect W state is different in weights and phases of the terms contained in the maximally entangled W-state. The prefect W state finds important applications in quantum information processing tasks such as perfect teleportation, superdense coding, secret sharing etc. The efficiency of generation is quantified by fidelity which is calculated by performing full quantum state tomography. To verify the presence of genuine nonlocality in the generated state, we experimentally perform Mermin's inequality tests. Further, we have also demonstrated splitting and sharing of quantum information using the experimentally generated state.
Hesitaton Phenomena in COnversational Interaction Among Speaking EFL Learners

Hesitation is the phenomenon when people have speech disfluency in structuring sentences. English Conversation Club is one of the domains where hesitation phenomena occur among EFL learners that practicing their conversation. This study examines the hesitation phenomena and why the members are being hesitated during the interaction. Rose’s theory of taxonomy of hesitation phenomena (2012) is adopted. The approach used is the qualitative approach. Besides, the writer is also the participant observation to collect the data by recording and taking notes. This study resulted that most of the hesitation phenomena are found in the conversation conducted by the learners. The reason for being hesitant is unable to express the language and poor communication skills. Those occur spontaneously and naturally due to the reason that the processing of language in the brain is not as easy as it is produced directly.&#x0D;
Characterisation of the parameters of maximum weight spectrum codes according to their spread

We introduce the concept of spread of a code, and we specialize it to the case of maximum weight spectrum (MWS) codes. We classify two newly-defined sub-families of MWS codes according to their weight distributions, and completely describe their fundamental parameters. We focus on one of these families, the strictly compact MWS codes, proving their optimality as MWS codes and linking them to known codes.
Sensory excursion as a site of encounter

In this exposition I discuss a human’s relationship with the environment, in terms of sensation and encounter. I describe my artistic practice implemented with the artist group Ajauksia, as a member of it. We, as a group, explore various sensory encounters with the environment through sensory exercises and, to that end, organize sensory excursions in different urban environments. We participated in the Research Pavilion # 3 (RP #3), coordinated by the University of the Arts Helsinki in the context of the Venice Biennale. Here I describe the work of Ajauksia within the project, from my perspective. I join in the theme of this Ruukku publication, ecologies of practice, by describing how we developed sustainable modes of artistic research in and through processes of collaborating, performing and discussing. Now, after the project, I reflect on the ideas, experiences and opportunities for interaction with different parties. I focus in particular on the two very different environments where we worked, the Kontula suburb of Helsinki and the island of Giudecca, Venice, where Research Pavilion #3 was located.
A Metode Offline Forensik Untuk Analisis Digital Artefak Pada TOR Browser Di Sistem Operasi Linux

The rapid development of the IT world has covered all aspects of life and among IT technology products is the creation of Operating Systems and Web browser applications. Privacy in the use of IT in the open era is now highly expected, therefore now widely developed Operating Systems and Web browser applications that have facilities to protect user privacy. Linux and TOR Browser is a combination that is widely used in the field of security, but unfortunately many are misused by the person in a crime. The motivation to use both is to eliminate or minimize the digital footprint of the browsing activity so that it will complicate the search of digital evidence in a crime. This research proposes a framework of stages for TOR Browser analysis in Linux Operating System which aims to provide solution in forensic investigation using offline forensic method. The use of offline forensic methods to obtain detailed information from a digital proof on a computer in a off state
Syntactic Search by Example

We present a system that allows a user to search a large linguistically annotated corpus using syntactic patterns over dependency graphs. In contrast to previous attempts to this effect, we introduce a light-weight query language that does not require the user to know the details of the underlying syntactic representations, and instead to query the corpus by providing an example sentence coupled with simple markup. Search is performed at an interactive speed due to an efficient linguistic graph-indexing and retrieval engine. This allows for rapid exploration, development and refinement of syntax-based queries. We demonstrate the system using queries over two corpora: the English wikipedia, and a collection of English pubmed abstracts. A demo of the wikipedia system is available at: this https URL
PSF optimization for motion deblurring using temporally coded light

Motion blurs inevitably occur in an image photographing fast moving objects, and its removal, known as motion deblurring, is one of the most well-known ill-posed problems. In this paper, we investigate the deblurring problem of motion blurs by using a modulated external light. Noting that the motion blurs depend both on ambient light and modulated external light, we investigate how to design a motion deblurring method considering not only the external light but also the ambient light. The deblurring performance of the proposed method is compared to that by the conventional method which only considers the external modulated light.
Construction of Question Answering System for Factoid and Non-Factoid Type Question for History of Khulafaur Rasyidin

Question answering system is one of sub-fields information retrieval that integrates information from multiple sources as document collection whether local or web to provide concise answer to specific question which is entered by the user.This question answering system is about history of Khulafaur Rasyidin which is expanded from another researcher with adding types of question word; such as: "what, why, and how".So, this question answering system provides question words: "who, when, and where" as factoid question and "what, why, and how" as non-factoid question.This question answering system consists of several processes: question analyzer, document retrieval, and answer extraction.The question analyzer aims to classify question to obtain answer type, clue word, and query.This query will be used in document retrieval to obtain document candidate which contain exact answer by using search engine which is called Lucene.The sources that are used came from previous research.It has been we reviewed and corrected.Answer extraction aims to obtain exact answer which is desired by the user.Answer extraction for factoid question is performed by calculating distance between answer candidate to all queries from the question in sentence answer and for non-factoid question is performed by sentence pattern which has priority value for each sentence.System testing is performed by giving 30 question words for factoid question and non-factoid question.The evaluation of answer result refers to another researcher which has 5 categories, namely:" true, inappropriate, not supportive, unanswered, and wrong".The result of the system evaluation shown factoid question has high performance to obtain exact answer and non-factoid question has low performance.