Reviewerly/exHarmony huggingface dataset:
Pelatihan Keterampilan Menganyam Tingkat Dasar pada Mahasiswa PIAUD STAI Auliaurrasyidin Tembilahan

The basic level weaving training aims to train skills, making weaving in simple shapes with simple patterns and patterns to motivate and increase creativity in students. the method used in the training is to provide guidance and practical training to PIAUD Semester IV STAI students Auliaurrasyidin Tembilahan. This activity was carried out for 2 days (2 meetings), the first meeting was the process of explaining the material and explaining the tools and materials to be used as well as hands-on practice on how to make basic weaving, namely single, double, double and triple woven. The second meeting of the weaving practitioners used Combination Weaving, Gambir Flowers, and Mata Walik patterns. The training participants were very enthusiastic about the training carried out, and were interested in conducting basic weaving training, more specifically in making a new work from the basic weaving skills that had been taught. Individual trainees can make some of the basic weaves that have been taught, either in single, double, combination and other patterns of weaving.
DEFORMER: Coupling Deformed Localized Patterns with Global Context for Robust End-to-end Speech Recognition

Convolutional neural networks (CNN) have improved speech recognition performance greatly by exploiting localized time-frequency patterns. But these patterns are assumed to appear in symmetric and rigid kernels by the conventional CNN operation. It motivates the question: What about asymmetric kernels? In this study, we illustrate adaptive views can discover local features which couple better with attention than fixed views of the input. We replace depthwise CNNs in the Conformer architecture with a deformable counterpart, dubbed this "Deformer". By analyzing our best-performing model, we visualize both local receptive fields and global attention maps learned by the Deformer and show increased feature associations on the utterance level. The statistical analysis of learned kernel offsets provides an insight into the change of information in features with the network depth. Finally, replacing only half of the layers in the encoder, the Deformer improves +5.6% relative WER without a LM and +6.4% relative WER with a LM over the Conformer baseline on the WSJ eval92 set.
Application of mathematical methods and machine learning algorithms for classification of X-ray images

The relevance of the topic, in particular, if to take one of the information flows, whether it is the action of a human factor or a specific object, then it is true that special processing of the machine learning language and automatic information output significantly optimize human life. With the help of neural networks and their chest radiography is one of the most accessible radiological studies for screening and diagnosis of many lung diseases a special machine learning language is to study the flow of information about it and the same object in real time using neural networks. The article describes the terminology of the problem of X-ray recognition using machine learning methods and algorithms, examines the relevance of the problem, and analyzes the current state of the problem in the field of X-ray recognition. The aspects of the problem being solved, identified during the analysis, in the form of solved problems, approaches, methods, information technologies used, tools and software solutions to the problem are noted The paper is devoted to the description of a modified method of fuzzy clustering of halftone images, which at each iteration performs a dynamic transformation of the source data based on a singular decomposition with automatic selection of the most significant columns of the matrix of left singular vectors. The results of experimental studies were obtained by processing X-ray images. As a result of testing a neural network model, in the output layer of which a sigmoidal activation function was used to activate neurons, and an algorithm was used as an optimization method, the best values of accuracy and completeness were obtained: accuracy – 94.2 During testing, the neural network showed an accuracy of pneumonia recognition equal to 94,27 %
Metadata: The Dimension of Cataloging in the Digital Age

Metadata creation is the process of recording metadata, that is data essential to the identification and retrieval of any type of resource, including bibliographic resources. Metadata capable of identifying characteristics of an entity have always existed. However, the triggering event that has rewritten and enhanced their value is the digital revolution. Cataloging is configured as an action of creating metadata. While cataloging produces a catalog, that is a list of records relating to various types of resources, ordered and searchable, according to a defined criterion, the metadata process produces the metadata of the resources.
Does TCP new congestion window validation improve HTTP adaptive streaming performance?

When using HTTP adaptive streaming, video traffic exhibits on-off behaviour with frequent idle periods that can interact poorly with TCP congestion control algorithms. New congestion window validation (New CWV) modifies TCP to allow senders to recover their sending rate more quickly after certain idle periods. While previous work has shown that New CWV can improve transport performance for streaming video, it has not been shown if this translates to improved application performance in terms of playback stability. In this paper, we show that New CWV can reduce video re-buffering events by up to 4%, and limit representation switches by 12%, without any changes to existing rate adaptation algorithms.
Multi-branch Prediction Network for Multi-label Social Image Classification

More and more social media images are produced on the Internet. Social image classification is an important task in many fields, such as public opinion analysis and sensitive image detection. Although convolutional neural networks (CNN) have achieved amazing achievements in the field of image classification. However, social images are special multi-label images. social image classification still has a lot of space for improvement. In one aspect, we find that many methods using CNN networks for classification tasks mainly use the top-level features, which contain limited information. In the real world, social images usually contain multiple semantic objects with different scales. Using the top-level features to classify different objects may not be the most suitable. Therefore, we propose a multi-branch prediction network. Since the shallow structure of the CNN network can capture some low-level features of the image, such as boundary, color, and so on, while the deeper features can capture some high-level semantics of the image, so different branches can get different representations for multi-label image classification. Subsequently, we also use the feature fusion module for each branch feature, using other branch features as a slight supplement. An efficient attention mechanism is introduced after the fusion module of each branch, which embeds the position information of the feature map into the channel attention so that the branch prediction can locate and identify the object area more accurately. In particular, a multi-branch independent prediction strategy is adopted in this work. The branch result with the highest prediction probability is regarded as the prediction of the whole network. Experiments show that the accuracy of the classification method proposed in this paper is better than other methods for multi-label classification problems.
Interview with the Makers of The Portal

Interviews with Jacqui Fifer and Tom Cronin, makers of The Portal .
Hilbert Spaces

When considering machine learning and data science issues, in many cases, the calculus and linear algebra courses taken during the first year of university provide sufficient background information. However, we require knowledge of metric spaces and their completeness, as well as linear algebras with nonfinite dimensions, for kernels. If your major is not mathematics, we might have few opportunities to study these topics, and it may be challenging to learn them in a short period. This chapter aims to learn Hilbert spaces, the projection theorem, linear operators, and (some of) the compact operators necessary for understanding kernels. Unlike finite-dimensional linear spaces, ordinary Hilbert spaces require scrutiny of their completeness.
Kernel Computations

In Chapter 1 , we learned that the kernel $$k(x,y)\in {\mathbb R}$$ represents the similarity between two elements x, y in a set E.
Visualization in the educational process at the university

Visualization is a method of visual presentation of information that affects the effectiveness of students' assimilation of new knowledge, the formation of the ability to critically comprehend the study material, and the ability to independently create schematic maps. We consider the essence of visualization, its functions and features, the influence on the student's mental and cognitive activity. The use of visualization is possible due to specifics of the perception of visual information by the student. The difference between visualization and visibility is revealed. We consider the indicators for the successful and effective use of visualization tools in the educational process of the university. The practical experience of using visualization during the learning process is analyzed. Despite the need to use visualization, there are certain difficulties in introducing its means into the educational process of higher education, but if we approach this issue competently, considering all the features, nuances and risks, the result of this activity will improve the quality of the educational process and increase the level of formation of universal competencies of students.
Explanations as Programs in Probabilistic Logic Programming

The generation of comprehensible explanations is an essential feature of modern artificial intelligence systems. In this work, we consider probabilistic logic programming, an extension of logic programming which can be useful to model domains with relational structure and uncertainty. Essentially, a program specifies a probability distribution over possible worlds (i.e., sets of facts). The notion of explanation is typically associated with that of a world, so that one often looks for the most probable world as well as for the worlds where the query is true. Unfortunately, such explanations exhibit no causal structure. In particular, the chain of inferences required for a specific prediction (represented by a query) is not shown. In this paper, we propose a novel approach where explanations are represented as programs that are generated from a given query by a number of unfolding-like transformations. Here, the chain of inferences that proves a given query is made explicit. Furthermore, the generated explanations are minimal (i.e., contain no irrelevant information) and can be parameterized w.r.t. a specification of visible predicates, so that the user may hide uninteresting details from explanations.
Hilbert Spaces

When considering machine learning and data science issues, in many cases, the calculus and linear algebra courses taken during the first year of university provide sufficient background information. However, we require knowledge of metric spaces and their completeness, as well as linear algebras with nonfinite dimensions, for kernels.
Sikh Festivals and the Nanakshahi Calendar

In the article the introduction of the Nanakshahi calendar in 1998 (amended in 2003) is considered as an attempt of unification of the Sikh community, and formation of single-form Sikh identity. The evolution of a Sikh community is a long process and the result of the combination of different trends. The community of Sikhs started as the sect in Hinduism in time of Guru Nanak (1469 - 1539) but developed as a new religion under the leadership of his successors, known as the Gurus. Dates of main historical events of the Sikhs together with agricultural and New Year celebrations (Baisakhi, Diwali, Holi) became main festivals of the Sikh year. Gurpurbs or memorial days of the Sikh Gurus are also important part of the Sikh religious year. The matter is complicated by the activity of the Sikhs in diaspora. Recently Sikh religious authorities have introduced Sikh Nanakshahi calendar to create religious boundaries between the Sikhs and the Hindus. Indo-Canadian Sikh Pal Singh Purewal suggested mathematically correct Nanakshahi calendar based on tropical rather than sideral year. He suggested that this calendar is more correct than the North Indian calendar and the one different from that of the Hindus. His opponents claim that it is identical to Christian calendar. In 2003 this calendar was put in force. However, some Sikh festivals are still celebrated in old manner according to the old Vikram (Bikrami) North Indian calendar. Sikh communities in India and in the diaspora are divided now over the Nanakshahi calendar and days of gurpurbs.
Introduction

The word interference stems from Latin—‘inter’ (between) and ‘ferire’ (to hit)—and thus literally indicates correlations among two or several entities (‘hit between’). In physics, interference specifically describes phenomena, where amplitudes of different processes superimpose and combine.
CIRCUIT LEADER: FROM THE PROFESSIONALITY TO THE PEDAGOGICAL SKILLS

The article analyzes the concepts of “extracurricular education”, “pedagogical professionality” and “pedagogical skills”. The peculiarities of out-of-school work are described and the need for training of highly qualified staff of out-of-school educational institutions is determined. The criteria of pedagogical skill that determine the level of professionality of a teacher are studied. The research of scientists on the ways of the purposeful influence on the growing generation within the framework of comprehensive personality development is considered. It is proved that out-of-school education institutions have a priority role in the upbringing and development of children’s talents and creative personality. It is noted that extracurricular education is characterized by variability and diversity of curricula, which allows students to develop practical skills in certain fields of science, technology, culture and art. The emphasis is placed on the fact that during the reform of education, when teachers are constantly faced with new challenges and tasks, it is extremely important to increase the professional level of teachers, their desire for continuous development and self-improvement to ensure a successful pedagogical and educational process. It is proved that the efficiency and quality of work of out-of-school education institutions largely depends on the professionality of pedagogical workers. The participation of teachers in competitions of pedagogical skills is a kind of the indicator of professionality of the teacher, the readiness for self-education, exchange of experience and own professional growth. The article describes the features of the All-Ukrainian competition “Source of Creativity”, defines the purpose, outlines the main objectives of the competition and considers the areas of extracurricular education in which the competition is held. The assessment of the professional competencies of participants is carried out by getting acquainted with the practical experience of their work, which is presented in the form of an electronic portfolio. A comparative analysis of the participation of pedagogical staff of out-of-school education institutions in the All-Ukrainian competition “Source of Creativity” for the last 7 years was also carried out.
THE IDEAS OF EDUCATIONAL STEM-STEAM-PROJECTS

The modern requirements for reforming all sectors of Ukrainian education include, among other things, the active use of STEM-STEAM technologies. On the one hand, this approach provides a lasting interest of students in the conscious choice of future profession STEM-profile. On the other hand, the use of innovative educational technologies motivates teachers themselves to acquire new knowledge and skills. It is impossible to be an expert in all subjects of the school program at the same time. This is not the case when one teacher is forced to teach several unrelated subjects. But even the narrow specialization of the teacher can be an obstacle in finding interesting topics for student learning projects. A geography teacher cannot always come up with a project topic that combines philological subjects, exact sciences and computer science. Therefore, we offer some ideas for the implementation of STEM and STEAM projects that can inspire teachers to search for new topics in classroom, extracurricular and extracurricular activities. An important feature of the proposed ideas of STEM and STEAM projects is that their implementation does not require the presence in the school of a robotic complex or set of LEGO. According to the author, to narrow STEM-technologies to robotics is extremely wrong. STEM-technologies in education are, firstly, the integration of courses, topics and subjects, and, secondly, the project activities of students. And the project should include all obligatory stages: the formulation of the task, drawing up a work plan, the work according to the plan, checking the result of work in accordance with the formulated task, the presentation of the obtained results. The proposed ideas were embodied in different years in the circle of astronomy and information technology of the city station of young technicians of the Dnieper in the form of competitions, open classes, presentations within the school scientific society and more. In order not to impose a specific form of implementation of the proposed topics, the author presents them in plain text, rather than in the form of a synopsis.
“PRISM OF KNOWLEDGE” AS A VIRTUAL FORM OF ORGANIZATION OF E-NETWORK KNOWLEDGE BASE IN EDUCATION

This is a brief description of the current state of the use of software and information tools ICT in the formation of knowledge bases in education. Examples of the latest information and communication technologies (ICT) used in this area are given. The basic principles of the formation of an electronic network knowledge base in education are given. The goal of building an electronic network knowledge base in education has been determined. The described ontological and e-scenario principles of organizing an electronic network knowledge base in education in the format of an object-oriented “Prism of knowledge”. A general characteristic of the ontological method for constructing an electronic network knowledge base is given, it is based on the theory of graphs, namely, on its tree structure. This operational characteristic of the electronic script of the knowledge base, the specific information structure of its data blocks. An example of an operational tree-like graph-structure of an e-scenario of a knowledge base is given on the example of a physics curriculum for grade 10. The general characteristic of the “Web-software complex, the editor of scripts of the knowledge base” (work.inhost.com.ua) is given and its organizational structure is described. The results of the formation of an electronic network knowledge base in education in the “Knowledge Prism” format based on the use of the “Web-software complex, the knowledge base script editor” are presented. Provided like “Prism of Knowledge – Newton’s Law” and describes its characteristics. Discussion of the prospects of using the proposed method for constructing an electronic network knowledge base in the “Prism of knowledge” format, as a means of increasing the efficiency of information support for education. A conclusion is given on the relevance of the practical application of this method of forming an electronic network knowledge base on the platform of using the “Web-software complex, script editor of the knowledge base”, as a means of supporting distance education and a tool for building personal and corporate e-network knowledge bases in the “Prism of knowledge” format ... For example, such as an e-network knowledge base of lessons or curricula, electronic textbooks, presentations, etc.
PROJECT 2061 AND OTHER SCIENTIFIC LITERACY INITIATIVES: OVERSEAS LESSONS FOR UKRAINIAN SCIENCE EDUCATORS

A rapidly growing number of nations presently strive for the active development of competitive knowledge-based economy, making the issue of achieving science literacy one of the crucial global priorities. Acknowledgment of the role of scientific enterprise in the ideological, political, economic, social, and educational context has led to a rapid increase of attention this problem receives from specialists in various disciplines. Drawing on foreign experience, the authors of this article put before them the task of reviewing Project 2061 initiated by the American Association for the Advancement of Science (AAAS) viewed as a promising approach to tackling the diminishing levels of science education both in our country and abroad. At the same time, we are interested in analyzing the underlying reasons that dictate the need to increase the scientific literacy of students representing various programs as they experience the effects of global technological advancement. The polydisciplinary nature of the natural sciences is yet another cardinal point of our current research since (when fully utilized) it allows one to approach study phenomena from all sides, thereby, forming a holistic picture of the world. As an international program aimed at assessing the academic achievements of schoolchildren PISA (Program for International Student Assessment) is based on precisely this kind of fruitful interdisciplinary method, whereby researchers gauge the level of the reading, mathematical, and natural scientific literacy of children. Serving as an effective evaluation tool, the PISA initiative not only helps estimate the volume of readily accessible knowledge but also measures the ability of learners to process information by utilizing scientific and critical thinking methods, dissect it and draw conclusions. Accordingly, it is our conviction that these academic benchmarking tools are invaluable for the modern generation of students worldwide as simple memorization and reproduction of information are on the cusp of being outperformed by the growing artificial intelligence industry which is able to provide more efficient alternatives for these simple mechanical knowledge acquisition skills. Consequently, if human intellectual development is swiftly reaching its bifurcation point we need to rely on ways of generating novel modes of thinking and problem-solving by taking into account consummate teaching methodologies that have the potential to serve as sure guidlines to increased global and national scientific progress and social wellbeing.