Reviewerly/exHarmony huggingface dataset:
Using Other Peoples' Data

Meta-analysis has been a popular approach for research synthesis for several decades. The technique comes with many strengths, but also remains plagued by several potential drawbacks. In this chapter, we provide a review of benefits of meta-analysis and then focus on several drawbacks that are discussed less frequently. Specifically, we highlight potential threats from research landscape volatility and temporal trends. Finally, we discuss nascent efforts to build databases containing our cumulative evidence base to address these concerns.
A harmonic function method for EEG source reconstruction

&lt;abstract&gt;&lt;p&gt;In this paper we study a harmonic function method for dipolar source reconstruction, and implemented the numerical simulations. We propose a new error estimate and provide a rigorous proof of the estimate. Then, we validate our method in computer-simulated data and study its numerical stability in different noise levels. It is shown that the harmonic function method can be used to quickly and accurately locate the active regions in EEG source reconstruction.&lt;/p&gt;&lt;/abstract&gt;
A High Embedding Capacity Steganographic Method Using Maximum and Minimum pixels Difference Adaptive Strategy

The security of transmitting data over the Internet is always of great concern. As a popular research topic, an efficient steganographic technique aims to hide a secret message for secure transmission over the Internet. In this paper, we propose a new information hiding method based on the difference value between the maximum and minimum pixels in an image block and using Modified Least Significant Bit (LSB) substitution strategy to conceal data. The difference value will be in one of three levels (lower, middle, and higher). Using Modified LSB substitution, the lower, middle, and higher levels correspond to 3-, 4-, and 5-bit embedded secret data, respectively. The experimental results demonstrate that the embedding capacity of the proposed method is greater than previous contributions and maintain a good image quality of stego images that are generated by the proposed method.
On the concept and content of the textbook for master's training «Public administration in the field of culture»

The article is devoted to the concept and, in general, the concept of the textbook for master's training «Public administration in the field of culture». The article substantiates the relevance of creating such a textbook and provides a possible layout of the topics of such a textbook (in the author's vision).
Survey on Generative Adversarial Networks

Generative Adversarial Networks (GANs) are a deep learning based generative model. GANs are a model for training a generative model and it is common to use deep learning models. Generative Adversarial Network(GANs) are a powerful class of neural networks that are used for unsupervised learning. GANs are basically made up of two competing neural network models which compete with each other and are able to analyze, capture and copy the variations within dataset. GANs achieve high level realism by pairing a generator which learns to produce a target output with a discriminator which learns to distinguish true data from the output of the generator. GANs used for Image Synthesis generates high resolution images. Text to face generation is a sub domain of text to image synthesis, and it has a huge impact along with the wide range of applications on public safety domain
Developing an English for Specific Purposes (ESP) Module for the Staff of Syariah Faculty IAIN Pontianak

This present study aims to develop practical materials for the staff in Sharia faculty IAIN Pontianak to improve their professional and communication skills. The material was produced in the form of module that focused on speaking skills in context and was designed in a way that can addrees the learning need of the staff in Sharia faculty IAIN Pontianak. This study addapts ADDI model in developing the material; analyze, design, develop and implement. In collecting the data for this research, the writer interviews the staff. The results of the interview become the foundation for the writer to develop the material. The finding of this study is in the form of module that covers the daily English expressions that are used in work place. The material from this study can help the staff to express themselves in English in relation to their work. Since the evaluation phase from the ADDI model was not conducted, it is recommended for the future research to evaluate the product that has been developed in this study. Keywords: ESP, module, staff.
The Very Basics of Stringology

This is a preliminary text introducing the terminology, basic concepts and tools for the next chapters. It reflects six main streams in the area. At the beginning some basic combinatorics related to words is introduced. Then several important classes of words: Fibonacci, Thue-Morse and de Bruijn words. It is followed by a description basic structures for handling texts, like suffix trees, suffix arrays and de Bruijn graphs and by some elements on text compression. The chapter ends with the important issue concerning pseudocodes of algorithms. Their presentation is done in a simple and understandable form since this is a central element of the book.
LightBERT: A Distilled Chinese BERT Model

Pre-trained language models (e.g. BERT) have achieve remarkable performance in most natural language understanding tasks. However, it’s difficult to apply these models to online systems for their huge amount of parameters and long inference time. Knowledge Distillation is a popular model compression technique, which could achieve considerable model structure compression with limited performance degradation. However, there are currently no knowledge distillation methods specially designed for compressing Chinese pre-trained language model and no corresponding distilled model has been publicly released. In this paper, we propose LightBERT, which is a distilled Bert model specially for Chinese Language Processing. We perform pre-training distillation under the masking language model objective with whole word masking, which is a masking strategy adapted to Chinese language characteristics. Furthermore, we adopt a multi-step distillation strategy to compress the model progressively. Experiments on CLUE benchmark show LightBERT could reduce 62.5% size of a RoBERTa model while achieving 94.5% the performance of its teacher.
Stoyan Karolev’s Personal Library in “Bulgarian Literary Critics” Digital Library

The article briefly presents collections with donation inscriptions from the personal library of Prof. Stoyan Karolev, stored in "Zachary Knyazheski" Regional Library - Stara Zagora. Presented collections include copies of donation inscriptions by Radoi Ralin, Blaga Dimitrova, Andrey Germanov, Damyan Damyanov, Veselin Andreev, Stanislav Stratiev, Ivan Davidkov, Mihail Toshkov, D. Chavdarov-Chelkash, Pencho Danchev, Atanas Natev, Encho Mutafov, Alexander Milanov, Kamen Zidarov, Ivan Paunovski, Ivan Sarandev, Vihren Chernokozhev. In addition to revealing connections between the literary critic and a great number of important names in our literature and culture from the 1950s to the beginning of the 2000s, donation inscriptions are valuable in their authentic handwriting and in their content, which testifies the authors' attitude to cultural phenomena and polemics, the excitement in their first steps, the development of their creative self-consciousness; they also recall performances of forgotten authors today.
Developing manuals for self-study in high school biology

Teaching and developing learners' competencies is the basic orientation of the 2018 General Education Program. Autonomy and self-study are considered the most important group of competencies for students. Therefore, the design of manuals to guide students for self-study is very necessary. In this article, we focus on analyzing the manifestations of self-study ability as a basis for building the design process and the process of using the self-study manuals to contribute to improving the quality of students' self-study. quality of teaching Biology and developing self-study ability for students.
Abstractive Text Summarization Using T5 Architecture

With the advancement of technology, text is abundant in today’s world, especially on the web. Therefore, it is important to summarize the text so that it becomes easier to read and understand while maintaining the essence and context of the information. Automatic text summarization is an effective way of finding relevant and important information precisely in large text in a short amount of time with little efforts. In this paper, we propose a text summarization model using NLP techniques that can understand the context of the entire text, identify the most important portions of the text, and generate coherent summaries.
Crime Analysis Using Machine Learning

Crime eradication and prevention have been a major setback of most developed countries. This paper deals with the analysis of criminal data record from the kaggle which belongs to the San Francisco crime dataset. We are finding the model with best accuracy, and performance of all the models is tested by us. Here, the implementation of multiple approaches from machine learning and its comparative analysis is done with the help of the data. We are finding which model has best accuracy and performance of all the models. It is shown that Linear SVC has achieved the best results of all the models considered. The inclusion of these methodologies to the investigation broadens the search and lessens the risks for the cops.
Survey of feedback from practice schools\centers on organizing regular practice activities in special education university of training

For pedagogical disciplines in general and special education in particular, regular pedagogical practice is an important training activity whichs helping students to form, train and develop a system of skills as well as contributing to the formation of the qualities of future teachers. In order for the regular practice to be organized effectively, it is necessary to regularly get feedback from the schools of practice to improve the quality of training and strengthen the relationship between the schools and\or between teacher training institutions and practice schools, meeting the requirements of regulations on standards for assessing the quality of training programs at higher education levels. The research article surveys the feedback of practice schools on organizing regular practice for students of Special Education, focusing on the following contents: Preparation before going to practice schools; ideas and comments on contents for practicing; Professional, attitudes response of the practice instructors; The level of professional, mental and attitude’s response of students of the Faculty of Special Education; Suggestions for effective and quality implementation of regular pedagogical practice
Cognitive Measurement of Stress of the Caregiver of Persons with Disabilities

This study explored the cognitive mechanism underlying caregiver stress in 65 psychology students when they faced caring tasks for people with physical or intellectual disabilities. The authors designed an experiment based on the cognitive algebra paradigm. Four factors were orthogonally combined (disability type, disability severity, behavior, and emotional regulation of person with disability) to create 36 experimental scenarios related to situations regarding the care of people with some disability. The task of students was to read the scenarios and judge their stress levels in each described situation. The results indicated three cognitive response patterns to select, valuate and integrate the factors that underlie their stress level when they face caregiver tasks. The first group presented the highest stress scores and selected only one of the four manipulated factors (severity of disability) as the central piece of information to make their judgments. This result indicates that these participants did not present a systematic way of thinking under care situations. The second one was characterized by a medium level of stress and the selection of two factors (behavior and disability severity) as the primary stress elicitors. They used a summative rule for their information integration. The third cognitive pattern comprised the lowest stress scores group and the systematic integration of three factors (behavior, severity of disability, and emotional regulation) through a summative rule. The theoretical, methodological, and applied implications of these results are discussed in the present work.
Type-II polyadic constacyclic codes over finite fields

Polyadic constacyclic codes over finite fields have been of interest due to their nice algebraic structures, good parameters, and wide applications. Recently, the study of Type-I m-adic constacyclic codes over finite fields has been established. In this paper, a family of Type-II m-adic constacyclic codes is investigated. The existence of such codes is determined using the length of orbits in a suitable group action. A necessary condition and a sufficient condition for a positive integer s to be a multiplier of a Type-II m-adic constacyclic code are determined. Subsequently, for a given positive integer m, a necessary condition and a sufficient condition for the existence of Type-II m-adic constacyclic codes are derived. In many cases, these conditions become both necessary and sufficient. For the other cases, determining necessary and sufficient conditions is equivalent to the discrete logarithm problem which is considered to be computationally intractable. Some special cases are investigated together with examples of Type-II polyadic constacyclic codes with good parameters.
Development of legal information communication systems in an open and strong society

Modern Uzbekistan: the theory of information and legal communication. The aim of the article is to study the beginning of the era of democratic reforms, innovative technologies in public administration of the Republic of Uzbekistan, which is on the path of modern development, the role of information and legal communication in these processes. The study showed that the state and society need to pay more attention to the system of information and legal communication-to strengthen the system of legal control of information sources in public administration, draw attention to the experience of Uzbekistan and abroad, develop a legal culture, raise awareness of human rights. Promotion of various forms of communication systems based on the concept of legal communication.
Pre-processing of Linguistic Divergence in English-Marathi Language Pair in Machine Translation

Machine translation (MT) in the field of natural language processing (NLP) and computational linguistics (CL). In the MT research area, divergence is one of the major issues. The complexity that occurs in the specific translation, divergence affects the language translation quality. This present paper discusses the pre-processing techniques such as tokenization, stopwords removal, POS, and parsing in machine translation. First, we take thematic divergences sentences and we do all pre-processing of these sentences. The source sentence is analyzed and finds the set of morphemes that are used to check the type of sentence. Using the parts of speech (POS), word information and attach POS tags with each individual unit. These units can be used for word order identification and further thematic sentence processing. With the help of parsing, we observe the sentence structure and identify the thematic divergence.
Innovations in Online Education in Post-COVID-19

The COVID 19 pandemic found the management of universities and many university teachers well prepared, but others only partially ac­quainted with the use of electronic tools in teaching. Many universities in Slovakia have been working for a long time (ten to fifteen years) with tech­nical support for education and supplement the full-time form of teaching with thematic e-learning packages, for instance in the moodle system. They can work with them in full-time and distance education. However, the COV­ID-19 pandemic redirected teaching from full-time teaching exclusively to a mediated technically supported approach to online education. The paper aims to define and analyse online education in terms of digital skills and competences requirements. Particular attention is paid to the key digital skills and competences of higher education teachers working in a new ed­ucational reality framed by the effects of digital transformation, which re­quires higher education educators to create and apply innovations in online education at universities.
Toward an Enhanced Tool for Internet Exchange Point Detection

Internet Exchange Points (IXPs) are critical components of the Internet infrastructure that affect its performance, evolution, security and economy. In this work, we introduce a technique to improve the well-known TraIXroute tool with its ability to identify IXPs. TraIXroute is a tool written in python3. It always encounters problems during its installation by network administrators and researchers. This problem remains unchanged in the field of internet ixp measurement tools. Our paper aims to make a critical analysis of TraIXroute tool which has some malfunctions. Furthermore, our main objective is to implement an improved tool for detecting ixps on the traceroute path with ipv4 and ipv6. The tool will have options for Geolocation of ixps as well as ASs. Our tool is written in C# (C sharp) and python which are object oriented programming languages.
Present and Future Prospects of Blockchain Technology in Healthcare

Many sectors, including finance, government, energy, health, and others, have found interest in blockchain technology over the last decade. It's no exaggeration to state that blockchain is pervasive in the healthcare industry. According to industry insiders, its application in healthcare has yet to achieve its full potential, but the implications might be substantial as it matures. This chapter presents the ongoing research trends, the existing issues and challenges, and presents future research opportunities to understand blockchain better. This chapter also throws light on the concepts of blockchain. This chapter also presents some examples of the uses of blockchain in healthcare. The authors hope that this chapter provides insight to the readers on the present and future research opportunities of blockchain in healthcare.
Department of Theory and History of Culture, Russian State Pedagogical University named after A.I. Herzen

The article describes the characteristics of the national humanitarian thought, which the author considers as a resource for educational activities. The author considers as the basic human-creative resources of humanitarian culture: anthropocentrism of domestic humanitarian thought; the priority of the spiritual and moral principle in the interpretation of the mission and functions of culture; metaphysical vision of national culture outside historical realities; the integrity of knowledge based on the synthesis of rationality and faith; the design nature of philosophical and cultural thought, which has formed and stores scenario forecasts and models of the “demanding future”. The spiritual potential of the national humanitarian culture, demanded by the institute of education, in the information society becomes: a key factor in preserving the uniqueness of the national world, a condition for the formation of “moral immunity” of the nation, which is extremely necessary today to preserve the humanistic essence of man; an important stage in the assertion of the humancreative essence of education is its ability to ensure spiritual continuity, personal identity and social solidarity through the creation of the subject of national culture. English version of the article is available at URL: https://panor.ru/articles/educational-resources-of-domestic-humanitarian-culture/78548.html
Enhanced Hybrid and Highly Secure Cryptosystem for Mitigating Security Issues in Cloud Environments

Recent advancements in cloud computing domain have changed the way of data storage infrastructure and corresponding sharing of resources. Therefore, cloud computing is observed to be greatly secure, private, offering data integrity, guarding property rights and rectifying other issues that are concerned with data storage in cloud. Despite all these advantages, cloud computing is mainly exposed to severe security issues that made many researchers to put forward new algorithms for cloud environments. In this chapter, a hybrid algorithm called enhanced hybrid privacy and secure (EHPS) algorithm has been proposed, implemented, well evaluated and compared with its peers. By understanding the positive features of hybrid algorithms, the proposed algorithm integrates the features of Advanced Encryption Standard (AES), Data Encryption Standard (DES), cipher block chaining (CBC) and Triple DES algorithm. Simulation analysis clearly reveals that the proposed hybrid algorithm depicts reduced encryption and decryption times when matched to AES algorithm. Moreover, the reduction in encryption and decryption times of the proposed algorithm in comparison with hybrid cryptosystem makes the proposed algorithm a positive choice when cloud environment has to be implemented with reduced encryption/decryption times and enhanced safety.
Retraction: Ensemble Modeling on Job Scam Detection (J. Phys.: Conf. Ser. 1916 012167)

This article (and all articles in the proceedings volume relating to the same conference) has been retracted by IOP Publishing following an extensive investigation in line with the COPE guidelines. This investigation has uncovered evidence of systematic manipulation of the publication process and considerable citation manipulation. IOP Publishing respectfully requests that readers consider all work within this volume potentially unreliable, as the volume has not been through a credible peer review process. IOP Publishing regrets that our usual quality checks did not identify these issues before publication, and have since put additional measures in place to try to prevent these issues from reoccurring. IOP Publishing wishes to credit anonymous whistleblowers and the Problematic Paper Screener [1] for bringing some of the above issues to our attention, prompting us to investigate further. [1] Cabanac G, Labbé C and Magazinov A 2021 arXiv: 2107.06751v1 Retraction published: 23 February 2022
Detection of Acted Happy Emotion using Facial Patches

Facial Recognition is done to extract emotion of the face. This Paper aims to check that emotion is acted or real expression. For this paper dataset is created for the targeted purpose. The recognition of emotion is acted or not is done by extracting the special patches on faces, which are based on predefined theory where its proven that patches occurs on face for basic six expression. In this work only happy emotion is taken into consideration.
PTSpruner: Automatic compression algorithm based on hybrid search

Aiming at the problem that the trained neural network model is difficult to deploy on embedded devices with limited resources and the real-time performance of the deployed model is poor, this paper proposes a neural network model compression algorithm based on improved PSO and TS hybrid search, named PTSpruner. The algorithm first pre-trains a large-scale network model, and the network weight on the model is used as the initial weight of the subsequent selection model; and then, we combine the improved PSO algorithm with the TS algorithm, and propose a hybrid search algorithm to select the optimal network structure. Finally, retrain the optimal network structure to get the compressed network model. Experimental results show that on the cifar10 data set, PTSpruner is effective for various network structures such as VGG and ResNet.