Reviewerly/exHarmony huggingface dataset:
ON DECODING ALGORITHMS FOR GENERALIZED REED — SOLOMON CODES WITH ERRORS AND ERASURES. II

The article is a continuation of the authors work On decoding algorithms for generalized Reed Solomon codes with errors and erasures. In this work, another modification of the Gao algorithm and the Berlekamp Massey algorithm is given. The first of these algorithms is a syndrome-free decoding algorithm, the second is a syndrome decoding algorithm. The relevance of these algorithms is that they are applicable for decoding Goppa codes, which are the basis of some promising post-quantum cryptosystems.
[Solution] Prepare your video for streaming with Segue

Despite the focus of adaptive video streaming being predominantly placed on the bitrate adaptation algorithm, offline encoding that partitions a video into chunks to prepare for online streaming is also instrumental in the user's quality of experience (QoE).Segue dives into the off-the-beaten-path problem and makes a case for offline encoding optimization that accounts for both the playback context and the adaption algorithm.To materialize the idea, Segue explores different techniques for segmenting a video into variable lengths and augmenting parts of a video with additional bitrates.In doing so, Segue achieves encouraging QoE improvements and envisions a new thread of future work that co-designs offline encoding and online adaptation.
Peculiarities of Scientific and Pedagogical Competencies of a Trainer-Teacher as a Psychological and Pedagogical Problem

The article is devoted to highlighting the issue of the features of the scientific and pedagogical competencies of a trainer-teacher as a psychological and pedagogical problem. To reveal the features of the scientific and pedagogical competencies of the trainer-teacher as a psychological and pedagogical problem, the main concepts of scientific research were characterized ‒ «trainer-teacher» and «competence». It is proved that scientific and pedagogical activity in higher educational institutions is an obligatory component of the educational process and is carried out in order to ensure the integration of scientific, educational and industrial activities. In the process of highlighting the issue of the scientific and pedagogical competence of a trainer-teacher as a psychological and pedagogical problem, it was established that the profession of a trainer (trainer-teacher) belongs to the pedagogical professions and includes the same components as the profession of a teacher, however, it has its own characteristics that depend how sports develop, how training methods change, how society develops, etc. Researchers have determined the requirements for the professional competence of a future scientific and pedagogical worker. The most important aspects that are relevant for our scientific research are highlighted, namely: high professional competence; pedagogical competence. The process of professional development of future trainers-teachers is directly related to professional training based on the acquisition of relevant competencies and lifelong learning. In the course of the study, the features of the scientific and pedagogical competencies of a trainer-teacher as a psychological and pedagogical problem were highlighted: firstly, the organization of the educational and training process of trainers-teachers by educational institutions to form a list of competencies defined by the standard; secondly, constant self-development, self-analysis and self-improvement in the formation and development of general and professional competencies of a specialist in the studied industry.
Супервизия как инструмент профилактики профессионального выгорания специалистов социальной работы

This article presents the results of studying and substantiating the positive effect of supervision as a technology aimed at preventing professional burnout of social work specialists. Supervision was considered by us as a way to deal with professional burnout. The article presents a program of supervision aimed at strengthening and maintaining the professional health of future specialists.
On-the-Fly Lowering Engine: Offloading Data Layout Conversion for Convolutional Neural Networks

Many deep learning frameworks utilize GEneral Matrix Multiplication (GEMM)-based convolution to accelerate CNN execution. GEMM-based convolution provides faster convolution yet requires a data conversion process called lowering (i.e., im2col), which incurs significant memory overhead and diminishes performance. This paper proposes a novel hardware mechanism, called <i>On-the-fly Lowering Engine</i> (<i>OLE</i>), to eliminate the lowering overheads. Our goal is to offload the lowering overheads from the GEMM-based convolution. With OLE, the lowered matrix is neither pre-calculated nor stored in the main memory. Instead, a hardware engine generates lowered matrix on-the-fly from the original input matrix to reduce memory footprint and bandwidth requirements. Furthermore, the hardware offloading eliminates CPU cycles for lowering operation and overlaps computation with lowering to hide the performance overhead. Our evaluation shows that OLE can reduce memory footprint of convolutional layer inputs down to 1/12.5&#x00D7; and the overall memory footprint by up to 33.5%. Moreover, OLE can reduce the execution time of convolutional layers by 57.7% on average, resulting in an average speedup of 2.3&#x00D7; for representative CNN models.
Implementation of the Principles of Early Childhood Learning in the Group Learning Model during the Learning from Home Period

There are 12 learning principles that will be discussed in this study with the aim of describing the implementation of these principles in educational institutions that use the group learning model.The research was conducted using a qualitative descriptive method, with data collection techniques using interviews, observation, and documentation.Data analysis was carried out using the Miles and Hubberman model which includes data reduction, data presentation, and drawing conclusions.The research subjects were teachers in groups A and B at the Jagakarsa State Kindergarten, South Jakarta.The results show that teachers have tried to implement the principles of learning while learning from home.However, there are several principles that cannot be implemented optimally; 1).Learning while playing, 2).Learning that is oriented to the needs of children, 3). the absence of child-centered learning, and 4).democratic learning, and 5).have not utilized guest teachers in the learning process.
CycleGAN with Dynamic Criterion for Malaria Blood Cell Image Synthetization.

We present a cycle-consistent adversarial network (Cycle GAN) with dynamic criterion to synthesize blood cells parasitized by malaria plasmodia. The result shows 100% of the synthetic images are correctly classified by the pretrained classifier compared to 99.61% of the real images, 76.6% generated by the Cycle GAN without the dynamic criterion. The average score of Frechet Inception Distance (FID) of the generated images by the enhanced Cycle GAN is 0.0043 (Std=0.0005), which is significantly lower than the FID score of the variational autoencoder (VAE) model (0.0085 (Std=0.0007)). We conclude that the new Cycle GAN model with dynamic criterion can generate high quality malaria infected blood cell images with good diversity. The new method provides new augmentation technique to enhance the image diversity where the acquisition of well-annotated images is highly restricted, and to improve the robustness of medical image automatic processing by deep neural networks.
Formal specifications investigated

Deductive verification can be used to ensure properties about all possible behaviours of a program, even when the program is parameterised and has an unbounded state space. But to achieve this, the user needs to specify what the desired properties are, and often needs to guide the prover with auxiliary annotations. This paper investigates what annotations are actually needed, and it provides a taxonomy to categorise these annotations. In particular, we identify several top-level categories, which are further divided into sub-categories of annotations. This taxonomy is then used as a basis to investigate how often particular annotation categories occur, by inspecting over 10k lines of annotated programs. To determine whether the results are in line with expectations, we have interviewed several experts on deductive verification. Moreover, we show how the results can be used to evaluate the effectiveness of annotation generators. The knowledge from this analysis provides a gateway to guide further research in improving the efficiency of deductive verification, e.g.: it can serve as a guideline on what categories of annotations should be generated automatically, to evaluate the power of existing annotation generation techniques, and to improve the teaching of deductive verification.
Phishing Security: Attack, Detection, and Prevention Mechanisms

While the Internet technologies have been developed over the decades, a significant issue has been coming along with it, the cybercrime. Cybercrime consists of various types of cyberattacks which could bring mild to serious adverse effects to individuals or organizations’ operations. Among those cybercrime attacks, phishing is one of the common mechanisms used. The phishing attack could target on any of the electronic communication users. The paper provides an overview insight on the phishing security concepts, ranging from various types of phishing attack techniques, phishing detection mechanism to prevention approaches. Comparison were included for each of the phishing aspects. Keywords: Phishing attack, phishing detection, phishing prevention, phishing security
Experimental Analysis of Commercial Optical Methods for Foot Measurement

Due to the increasing trend of online shopping, shoes are more and more often bought without being tried on. This leads to a strong increase in returns, which results in a high financial as well as ecological burden. To prevent this, feet can be measured either in the store or at home by various systems to determine the exact dimensions of the foot and derive an optimal shoe size. In this paper, we want to present an overview of the methods currently available on the market for the measurement of feet. The most important commercial systems are classified according to the underlying basic technology. Subsequently, the most promising methods were implemented and tested. The results of the different methods were finally compared to find out the strengths and weaknesses of each technology. After determining the measurement accuracy of the length and width for each measurement method and also comparing the general shape of the 3D reconstruction with the GT, it can be said that the measurement using a ToF sensor is currently the most robust, the easiest and, among other methods, the most accurate method.
The Credibility Measurement Model of Food Safety On-chain Data based on Blockchain

&lt;p&gt;Food safety is related to the national economy and people&amp;rsquo;s livelihood and has always been the focus of the people and the government. Blockchain technology has characteristics of being decentralized, tamper-free, and having underlying openness. It can record and trace product information, prevent data tampering, effectively enhance the transparency of product information, and provide new methods and ideas for food safety traceability. At present, research hotspots mainly focus on the design and construction of a trusted blockchain traceability system, but the provided blockchain traceability system cannot provide a way to verify the authenticity of the information. This paper studies the credibility evaluation model of the members involved in the blockchain and the on-chain data quality model and provides a method to solve the credibility of the on-chain data. Meanwhile, the effectiveness of the method is validated by a case study.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Explore Behavior Pattern in an Associated AR English Learning System Consider Different Human Factors

&lt;p&gt;In this study, an associated AR English learning system (AES) was developed for elementary children. Different from a general AR English learning system, when learners scan the AR target object, AES will provide associated virtual learning materials with the target object, including vocabulary, phrase and example sentences. At the same time, all the operational processes of the learner will be recorded in database within coding scheme by the system. The aim of this research is exploring learners&amp;rsquo; behavior differences through analyzed their behavior log considering the human factors with gender and prior knowledge. One thing worth noting is, according to the result of the analysis, we found that learners can get a better performance in class when they are learning with an associated AR English learning system than a general AR English learning system. In addition, through observe the behavior pattern associated graphs, we found that female learners lost the scan directions of AR learning target more often than male learners. However, the female learners learning with an AR target more carefully and detailed than male learners. According to the results of this study, it is shown that when learning English through AR technology, the gender difference is an important impact factor. Therefore, when teachers and AR developers want to use AR to assist English learning in the future, they must pay special attention to this.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Secure Data Deduplication System with Efficient and Reliable Multi-Key Management in Cloud Storage

&lt;p&gt;The revolutionary growth in the processing and storage mechanisms over the Internet has given the enhancement to inexpensive and strong computing properties. Cloud computing is a rising technology, which offers the data storage facility also application accessing facility in online environment. This system stands countless opportunities also challenges. In that, security of data and the increasing similar data in cloud (duplication) are very important issues to be addressed. So, Deduplication method is developed to reduce the similar data that is present in the storage system. In this paper, a novel technique is proposed to remove the duplicate data from cloud also help to save the bandwidth access and storage space. The experimental results demonstrate that the proposed system provide the more security for data in cloud storage and also overcomes the main drawbacks of the existing systems. In one-server storage and distributed storage systems, we have created a solution which provides data security and space efficacy. The chunk data generates encryption keys consistently; the same chunk is therefore always encrypted with the same chip text. In addition, the keys cannot be derived from the chunk data encrypted. Because the information to be accessed and decrypted by each user is encrypted by using a key known to the user alone, even a complete system breach cannot expose which chunks are utilised by which users.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Deep Learning for Joint Classification and Segmentation of Histopathology Image

&lt;p&gt;Liver cancer is one of the most prevalent cancer deaths worldwide. Thus, early detection and diagnosis of possible liver cancer help in reducing cancer death. Histopathological Image Analysis (HIA) used to be carried out traditionally, but these are time-consuming and require expert knowledge. We propose a patch-based deep learning method for liver cell classification and segmentation. In this work, a two-step approach for the classification and segmentation of whole-slide image (WSI) is proposed. Since WSIs are too large to be fed into convolutional neural networks (CNN) directly, we first extract patches from them. The patches are fed into a modified version of U-Net with its equivalent mask for precise segmentation. In classification tasks, the WSIs are scaled 4 times, 16 times, and 64 times respectively. Patches extracted from each scale are then fed into the convolutional network with its corresponding label. During inference, we perform majority voting on the result obtained from the convolutional network. The proposed method has demonstrated better results in both classification and segmentation of liver cancer cells.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
PENINGKATAN KOSAKATA BAHASA INGGRIS MELALUI MEDIA BUKU BERGAMBAR PADA ANAK DESA SITIMERTO

The era of globalization and technological advances make it easy for everyone to establish communication and relations between countries. The increasingly widespread relationship between humans makes them inevitably have to learn foreign languages, especially English as an international language. In the world of education, English subjects have been taught since the Dutch colonial era and are still used until now. For a long time, English lessons have become a compulsory subject for junior high school and senior high school students. At the elementary school level, English subjects have become local content since 1996. Teaching English at various levels is not the same. At the elementary school level, English is more emphasized on improving and mastering vocabulary. In addition, teachers must use appropriate methods and media that will support learning activities. In this study, researchers will conduct an experiment centered on the use of picture books as a medium in increasing English vocabulary. In the context of community service carried out by the KKN-DR IAIN KEDIRI team. This research is aimed to children at the elementary school level in Sitimerto village. The research which was conducted using this pre-experimental method resulted in a conclusion. The results showed that the use of picture book media in increasing vocabulary was proven. In the study, it was found that there was an influence that showed a positive direction. Although the results of the increase shown are not very significant, this proves that increasing vocabulary using picture books has yielded results.
A Systematic Literature Review of The Role of Ontology in Modeling Knowledge in Software Development Processes

Ontology in software development is explained as presenting the properties of things within a domain knowledge and how they are interrelated to each other by defining a set of notions and taxonomies that exemplify the knowledge. It is used to deter- mine the ambiguity in the software requirements specification. Though averred to be useful, the software engineering communities are still unfamiliar with the role of Ontology in modeling knowledge in software development processes. Moreover, not much has been known about the role of Ontology in software engineering processes. The objective is to map and explain the substantiation about the role of Ontology in Modelling Knowledge and the challenge faced by the software engineering team to understand how far ontology can help them determine the ambiguity in model- ing and software development processes. We have carried out a methodical review of the literature issued between 2012 and 2021 and recognized 150 publications that talk over the role of ontology in modeling knowledge in software development pro- cesses. This study conveyed and employed particular inclusion and exclusion criteria in bi-rounds to establish the utmost pertinent publications for our research objec- tive. The review acknowledged 22 applications that explain ontologies’ primary role in software development processes. However, our findings suggest ontology’s role in software engineering as a investigation background requires extra consideration. A further experimental result I needed to better understand the role of ontology in modeling knowledge in software development with quality requirements as well as self-organizing groups.
The Effects of Digital Globalization on Economics and Society

In the minds of some scholars, digital globalization is a new kind of globalization, while others see it as a type of globalization that needs to be steered and managed so that institutions and corporations can work together to tackle the challenges of digitalization.All facets of economic and social life have been digitized.Globalization is being spurred on by technical advancements and scientific problems in an increasingly competitive marketplace.Globalization has been argued to have ceased after the 2008 financial crisis because of a decline in global trade in products and a dramatic decrease in cross-border capital flows.Studies demonstrate that globalization is not slowing down, but rather entering a new phase marked by an increase in the flow of data and information.More than a decade later, the new global crisis produced by the COVID-19 pandemic is strengthening the role of information and communication technologies in both the business and social life of the world.It is the purpose of this study to emphasize the key characteristics of digital globalization that have a significant impact on the economic and social lives of today and tomorrow.The primary research approaches are document analysis and literature review.These are multiplied by two if we conduct a literature review on IT tools.A number of characteristics emerged from the documentary research that allow us to conclude that global digitalization can have a significant impact on the economy and society.
Analysis of Regional Economic Development Trends and Strategy Formulation Based on Sensor Data Collection

In this paper, a multisensor data acquisition system based on FPGA is designed to provide an overview of the current development of the company based on the theoretical knowledge of enterprise development strategy. Through a comprehensive investigation of the company’s internal environment, the advantages and disadvantages of the company at this stage are clarified, and the opportunities and threats to the company’s development are analyzed in the context of the external macroenvironment and industry development. The coupling coordination degree from 2011 to 2025 was measured using the coupling coordination degree model based on the original data and the prediction results, and the results showed that from 2011 to 2025, the coupling coordination degree of Hebei Province showed a continuous growth and experienced the transition from low coordination, basic coordination, to medium coordination in the coupling coordination stage, aiming at the most innovative fields, mastering the most advanced technologies, cooperating with industry giants, innovating, and building digital ecology, creating, and forming core competitiveness based on core independent products and platform-based solutions, and further promoting transformation and upgrading and high-quality development. In this paper, the data acquisition system is tested by building an experimental platform. The main purpose is to test the stability and accuracy of each module of the data acquisition system. After each module test of the system meets the design requirements, the parallel mechanism attitude transformation test experiment is completed, including the moving platform moving test experiment and the moving platform rotation test experiment. The experimental results show that the designed data acquisition system has stable program and reliable function.
Transaction Costs in the Preparation of Scientific Publications

Preparation of scientific publications includes transaction costs as an integral part. The aim of the work was to analyze the changes over the past 50 years in transaction costs in the publication process and the impact of these costs on the results of publication activities. The article discusses the changes that have taken place in the procedure for choosing a publishing house, methods of the manuscript design, translation of the text, compiling a list of references, interaction with publishers and other issues of preparing scientific publications. It is shown that the reduction of transaction costs is one of the most important ways to increase the scientific and publication activity of teachers and researchers.