Reviewerly/exHarmony huggingface dataset:
A Study on Cybersecurity News Coverage in Bangladeshi Newspapers

At the present world, people are more connected with cyber issues, with the emergence of the cyber world, cybersecurity has also become more important in its users’ life either in personal or official cases. Media has a great role in establishing cybersecurity by providing accurate and responsible information. This paper analyzed the presentation of cybersecurity-related news items and photos in Bangladeshi newspapers. All copies published during the time frame of October to December 2019 were selected for this study and a total 59 number of news items were collected and analyzed. This paper analyzed the news items under different issues, like hacking and tracking, stealing and passing information, information leaking, security of cyberspace users, etc. This study explored the news types, photograph presentation, placement of news, and using news sources. This study followed Gatekeeping and Social Responsibility theories and found that most of the news is event-driven, news items have just been translated from foreign newspapers, especially Kaler Kantho published lots of foreign news without mentioning exact sources, and the number of investigative and awareness-raising news is very poor which also means that these newspapers played very little social responsibility role.
Design Guidelines for Developing Systems for Dialogue System Competitions

Dialogue system development involves a variety of factors and requires multifaceted consideration, so design guidelines would be helpful. Although a neural-based approach can be used, it requires a vast amount of dialogue data and would take too much effort to collect them to develop a system for a specific and fixed-length dialogue. Furthermore, errors in automatic speech recognition and language understanding should be explicitly considered in the design because they are inevitable when the system talks with general users and would lower their impressions. We propose design guidelines for developing dialogue systems. Our systems developed with the aid of these guidelines took first place in two dialogue system competitions: the situation track of the second Dialogue System Live Competition and a pre-preliminary test of the Dialogue Robot Competition. Our proposed design guidelines are to (1) make the system take initiative, (2) avoid dialogue flows from relying too much on user utterances, and (3) include in system utterances that the system understands what the user said. We also show more details regarding the systems designed for each of the two competitions with examples, such as the dialogue examples in the two competitions and the scores of questionnaire by real users.
Efficient Multi-Scale Feature Fusion for Image Manipulation Detection

Convolutional Neural Network (CNN) has made extraordinary progress in image classification tasks. However, it is less effective to use CNN directly to detect image manipulation. To address this problem, we propose an image filtering layer and a multi-scale feature fusion module which can guide the model more accurately and effectively to perform image manipulation detection. Through a series of experiments, it is shown that our model achieves improvements on image manipulation detection compared with the previous researches.
Impact of Education Level of Women in Russia on the Position of Women in Society (historical summary)

Purpose: Since the 18th century, discrimination against women was part of official government policy in higher education institutions within Russia, as across the world until the beginning of the twentieth century. For many years, only men had the advantage of attending higher education. Thus, it can be said that women of lower socio-economic status had barely any rights in Czarist Russia. They had no right to divorce and extremely limited rights to own private property.&#x0D; Design/Methodology/Approach: Only women who were at least of median socio-economic level could consider leaving their husband. Effects of both the industrial revolution in the western world and the labour movement within Russia during the 19th century along with a number of socio-economic changes within society, led to a system of values which ultimately allowed women to participate in educational life.&#x0D; Findings: As it observed in most societies, a long period of awakening and raising awareness is required in order to ensure the desired level of equality of opportunity between genders in both education and work areas, as well as in other areas of society in Russia too.&#x0D; Highlights: When it comes to the historical process in Russia's women's education, it can be said that the path taken in the field of women's education, considering the changes in the political, socio-economic and value system is practical and beneficial.
A study of lightweighting method using reinforcement learning

Deep neural networks (DNNs) are capable of achieving high performance in various tasks. However, the huge number of parameters and floating point operations make it difficult to deploy them on edge devices. Therefore, in recent years, a lot of researches have been done to reduce the weight of deep convolutional neural networks. Conventional research prunes based on a set of criteria, but we do not know if those criteria are optimal or not. In order to solve this problem, this paper proposes a method to select parameters for pruning automatically. Specifically, all parameter information is input, and reinforcement learning is used to select and prune parameters that do not affect the accuracy. Our method prunes one filter or node in one action and compresses it by repeating the action. The proposed method was able to highly compress the CNN with minimal degradation in accuracy and reduce about 97.0% of the parameters with 2.53% degradation in CIFAR10 image classification task on VGG16.
Covid-19 Face Mask Recognition using Live Camera and Face Mask Detection Using TensorFlow and Keras

Abstract: The COVID-19 epidemic has so quickly affected our daily lives and disrupted trade and movement. Wearing a protective face mask has become a new trend. In the near future, more and more public service providers will be asking clients to wear the mask properly to benefit their services. Therefore, the discovery of a face mask has become an important task of helping the international community. This paper introduces a simplified way to achieve this goal using basic machine learning packages such as TensorFlow, Keras. The proposed method detects the surface in the image correctly and indicates whether it has a mask on it or not. As a security guard, it can also detect faces and moving masks. The method achieves 95.77% accuracy and 94.58% respectively for different data sets. We evaluated improved parameter values using the Sequential Convolutional Neural Network model to determine the presence of the mask correctly without causing excessive alignment.
Slot Filling with Data Augmentation That Allows the Use of Keyword and Context Information for Handling Unknown Slot Values

This paper proposes a new method for slot filling of unknown slot values (i.e., those are not included in the training data) in spoken dialogue systems. Slot filling detects slot values from user utterances and handles named entities such as product and restaurant names. In the real world, there is a steady stream of new named entities and it would be infeasible to add all of them as training data. Accordingly, it is inevitable that users will input utterances with unknown slot values and spoken dialogue systems must correctly estimate them. We provide a value detector that detects keywords representing slot values ignoring slots and a slot estimator that estimates slots for detected keywords. Context information can be an important clue for estimating slot values because the values in a given slot tend to appear in similar contexts. The value detector is trained with positive samples, which have keywords corresponding to slot values replaced with random words, thereby enabling the use of context information. However, any approach that can detect unknown slot values may produce false alarms because the features of unknown slot values are unseen and it is difficult to distinguish keywords of unknown slot values from non-keywords, which do not correspond to slot values. Therefore, we introduce a negative sample method that replaces keywords with nonkeywords randomly, which allows the slot estimator to learn to reject non-keywords. Experimental results show that the proposed method achieves an 6,15 and 78% relative improvement in F1 score compared with an existing model on three datasets, respectively.
Contextualized Language Generation on Visual-to-Language Storytelling

This study presents a formulation for generating context-aware natural language by machine from visual representation. Given an image sequence input, the visual storytelling task (VST) aims to generate a coherent, object-focused, and contextualized sentence story. Previous works in this domain faced a problem in modeling an architecture that works in temporal multi-modal data, which led to a low-quality output, such as low lexical diversity, monotonous sentences, and inaccurate context. This study introduces a further improvement, that is, an end-to-end architecture, called cross-modal contextualize attention, optimized to extract visual-temporal features and generate a plausible story. Visual object and non-visual concept features are encoded from the convolutional feature map, and object detection features are joined with language features. Three scenarios are defined in decoding language generation by incorporating weights from a pre-trained language generation model. Extensive experiments are conducted to confirm that the proposed model outperforms other models in terms of automatic metrics and manual human evaluation.
Visual and Phonological Feature Enhanced Siamese BERT for Chinese Spelling Error Correction

Chinese Spelling Check (CSC) aims to detect and correct spelling errors in Chinese. Most CSC models rely on human-defined confusion sets to narrow the search space, failing to resolve errors outside the confusion set. However, most spelling errors in current benchmark datasets are character pairs in similar pronunciations. Errors in similar shapes and errors which are visually and phonologically irrelevant are not considered. Furthermore, widely-used automatically generated training data in CSC tasks leads to label leakage and unfair comparison between different methods. In this work, we propose a feature (visual and phonological) enhanced siamese BERT to (1) correct spelling errors without using confusion sets; (2) integrate phonological and visual features for CSC by a glyph graph; (3) improve performance for unseen spelling errors. To evaluate CSC methods fairly and comprehensively, we build a large-scale CSC dataset in which the number of samples in different error types is the same. The experimental results show that the proposed approach achieves better performance compared with previous state-of-the-art methods on three benchmark datasets and the new error-type balanced dataset.
All-pairs suffix/prefix in optimal time using Aho-Corasick space

The all-pairs suffix/prefix (APSP) problem is a classic problem in computer science with many applications in bioinformatics. Given a set {S1,…,Sk} of k strings of total length n, we are asked to find, for each string Si, i∈[1,k], its longest suffix that is a prefix of string Sj, for all j≠i, j∈[1,k]. Several algorithms running in the optimal O(n+k2) time for solving APSP are known. All of these algorithms are based on suffix sorting and thus require space Ω(n) in any case. We consider the parameterized version of the APSP problem, denoted by ℓ-APSP, in which we are asked to output only the pairs whose suffix/prefix overlap is of length at least ℓ. We give an algorithm for solving ℓ-APSP that runs in the optimal O(n+|OUTPUTℓ|) time using O(n) space, where OUTPUTℓ is the set of output pairs. Our algorithm is thus optimal for the APSP problem as well by setting ℓ=0. Notably, our algorithm is fundamentally different from all optimal algorithms solving the APSP problem: it does not rely on sorting the suffixes of all input strings but on a novel traversal of the Aho-Corasick machine, and it thus requires space linear in the size of the machine.
8. Methods of Formation of Personal Qualities and Skills of Social Pedagogues’ Communicative Interaction by Means of Information System of Piece of Art

Abstract The issue of communicative interaction of future social pedagogues is one of the crucial problems of higher education as it is the basic condition for effective realization of their professional activity in the social sphere.The aim of the article is to describe the methods of using a piece of art with its information content in order to form future social pedagogues’ personal qualities and skills of their communication. Thissubject was on the focus in the second half of the last century and then the scientific interest in the problem almost disappeared. But it has been proposed in the article that information system of art can be usedas a means of forming communication skills by developing students’ abilities to solve psychological problems of the client and their own ones through the analysis and forecasting of complex social and psychological situations depicted in the works. Artistic and aesthetic information is presented in the pocess of future specialists’ training as didactic material to develop the skillsof active listeningand abilities to penetrate into client’s inner world, stimulate his/her emotional state through certain types of information in the piece of art.This methodology was implemented in the educational process of Zaporizhzhya National University and its content and results have been presented in the article.
Timing Controller for a Superconductor Microwave Switch using Adiabatic Quantum Flux Parametron Circuits

We are developing a microwave pulse generator, whose pulse width and amplitude can be arbitrarily controlled, to manipulate superconducting quantum computing systems. The proposed microwave pulse generator is made using superconducting circuits. It can be placed at a 4.2 K or lower temperature stages to control a large-scale quantum computing system effectively. One of the key components of the microwave pulse generator is the timing controller, which generates trigger pulses for the microwave switch to start and stop the microwave irradiation. The target frequency of the microwave is 5 GHz, and the timing controller has to generate trigger pulses with a time resolution of several nanoseconds. We designed a 4-bit timing controller using an adiabatic quantum flux parametron (AQFP) circuit, which is extremely energy-efficient superconducting logic. The designed timing controller derives two trigger pulses, start and stop, to the microwave switch at the timing designated by digital data. We implemented the AQFP timing controller using the AIST HSTP process and demonstrated its operation at 1 GHz. Its power dissipation was estimated as about 1.25×10-9 W at 1 GHz.
Case study: Smart Contract Prototype Utilizing the Blockchain to Securely Deposit NIST Control Findings

Security in online transactions is a critical component that cannot be overlooked in designing an accounting system for network-based trade. Previously, the challenge of double spending and the possibility for an external attack that could temper with records hampered the adoption of online transactions, additionally, the need for a trusted third party to validate transactions made over the networks made it too expensive to adopt such ideas. Thus, online transactions remained a dream for many. However, the introduction of blockchain and innovative contract technology has boosted their adoption. This document presents a case study report to develop a safe and secure system for government transactions using the mentioned technologies.
5. Methodological Aspects Regarding the Integrity of the Musical-Didactic Activities During the Musical Education Lesson

Abstract The purpose of the musical art is to give complete knowledge about the world and about oneself. Musical education aims to form the artistic culture of the student, as a component of the spiritual culture. Due to the following fields of activity such as reception of works of art, vocal/choral/instrumental interpretation, creation, and artistic reflection, this type of education is treated as a continuous individual process of personality formation through multiple musical-didactic communication activities with musical art.
Analisis Manajemen Pembiayaan Pendidikan Dalam Menunjang Proses Pendidikan di Perguruan Tamansiswa Cabang Pematangsiantar

The research objectives are: 1. To find out budget planning, expenditure income, use of financing and supervision of financing at the Tamansiswa Pematangsiantar Branch. 2. To find out the financing of education in supporting the learning process at the Tamansiswa College Pematangsiantar Branch. The results of this study can be concluded, namely: 1. The preparation of an income budget plan at the Tamansiswa Pematangsiantar Branch consists of 2, namely a budget plan whose funding source comes from Education Contributions prepared by the Branch Council, while a budget plan whose funding source comes from BOS funds ( School Operational Assistance) is prepared by the BOS Team in the Universities. 2. The largest use of BOS funds is in financing learning and extracurricular activities and financing subscriptions for power and or services. 3. Supervision and evaluation of financing at the Tamansiswa Pematangsiantar Branch is carried out in two ways depending on the type of use of funds. The use of funds sourced from students will be evaluated and checked by the Treasury Examiner Agency (BPP) and will make a report to the Branch Council. Meanwhile, the use of BOS funds from the government will be reported to the Head of Section (Principal), at the basic education level (SD and SMP) to the Pematangsiantar City Education Office, while for the secondary education level (SMA and SMK) it is reported to the North Sumatra Provincial Education Office through Realization Information System Application for Reports on the Use of BOS Funds (BOS SIRUP). 4. In supporting the learning process, the Tamansiswa Pematangsiantar Branch allocates funds for teachers in the preparation of learning tools and learning evaluations whose funding comes from the Government. Meanwhile, the funding for the implementation of learning is sourced from college funds (hourly tutoring honors according to the subjects taught) and BOS funds (for facilities and infrastructure as well as student needs). This form of research uses qualitative methods, namely methods that refer to research procedures that produce qualitative data, expressions or notes by researchers in observation activities. Qualitative research focuses more on the problems that exist at the time the research is carried out or actual problems and describes the facts about the problems investigated and their interpretations
Impact of internal oversight on transparent performance in educational institutions: أثر الرقابة الداخلية في تحقيق شفافية الأداء بالمؤسسات التعليمية

The purpose of the study was to identify the role of internal control in achieving transparency in the performance of educational institutions. The study was applied to the education directorates of the Northern Aguar Brigade. In order to achieve the objective of the study, the design of the resolution study tool was followed. It was confirmed that it was true and stable. (40) a staff member of the Education Directorates of the Northern Aguar Brigade of the Hashemite Kingdom of Jordan, selected in a deliberate manner. The results of the study are as follows: The general estimate of the study sample on the impact of internal control on the transparency of performance in educational institutions has received a total average. In the light of the results of the study, the researcher made a number of recommendations, including awareness-raising among personnel in educational institutions, in order to clarify the basis for building transparency and dimensions in order to be an active supporter of the implementation of internal control objectives through workshops and demonstration seminars.
BREVE ANÁLISE SOBRE MORTALIDADE POR MESOTELIOMA NOS ESTADOS DO BRASIL PERÍODO 2000 A 2019: APRENDIZADO PARA ATENÇÃO PRIMÁRIA DE SAÚDE

Child development is a natural process marked by evolution in the physical, emotional, social and intellectual parts that occur during their growth, being evidenced from the acquisition of skills and their behaviors that are directly influenced by the environment.Faced with this situation, the family becomes extremely necessary in supporting the minor, within this context, there is the occurrence of traumas, among them injuries are traumas that can be a consequence of very recurrent external causes in childhood, such as violence, falls, among others.others.As prevention, it is essential to adopt preventive measures at home to reduce and prevent these complications.Among the main consequences of unintentional injuries in children are orthopedic traumas that usually occur in schools, their homes and public places.In order to have a correct diagnosis, it is essential that orthopedists are attentive and participating from the beginning of the evaluation to recognize non-accidental trauma.That is why it is extremely important to focus on the prevention and health promotion of the child, suggesting changes in children's behavior, but proposing the inclusion of the family, health professionals, school to minimize the damage to child development, resulting from these orthopedic traumas.
The Sources of the Formation of Bibliographic Repertoire of Russian Language Books Published Abroad (1927–1991)

The aim of the article is to reveal foreign Russian language publications as the main sources of the formation of the bibliographic repertoire of books in Russian published abroad, reflected in the bibliographic database «Books published in Russian abroad, 1927–1991», compiled by the staff of Research department of bibliography of Russian State Library. The specific features of the database and special cases associated with the requirements for the repertoire of the publications included in the database are characterized. Information on auxiliary indexes adjacent to the database, reflecting that of about the persons involved in book publications, keywords, geographic names and the names of organizations associated with publications is given. The main sources are outlined, within the framework of which the selection of the bibliographic repertoire corresponding to the topic of the main database is carried out: 1) editions of the Russian emigration circles in different countries; 2) editions of the socialist countries; 3) foreign editions. Each of the sources is considered and characterized, the specifics of the ways of organizing the publishing process, depending on each of them, are highlighted. Based on the requirements of the maximum possible practical verification of the material covered by the database de visu, the author considers the specifics of the search and analysis of the material, depending on a source of the bibliographic repertoire formation. The variety of bibliographic resources dictated by such specifics is noted, the variety of ways of referring to them by a bibliographer in his practical search and reflection of bibliographic material in the database. The fundamental differences between the considered sources are highlighted. There are raised questions related to the quantitative ratio within the database of publications corresponding to the indicated sources of its formation.