Reviewerly/exHarmony huggingface dataset:
State of BGP Security Against Network Anomalies Through Ensemble of Classifiers Approach

The Internet infrastructure relies on the Border Gateway Protocol (BGP) to provide essential routing information where abnormal routing behavior interferes with global connectivity and stability. Considering the importance of the BGP network stability, a variety of methods have already been developed to identify network anomalies. Nonetheless, the biggest obstacles to detecting BGP attacks are the dynamic nature and complex structure of the network. Hence, it is difficult to classify them using a single classifier because of the dynamic nature of the network. We, therefore, suggested an approach based on an ensemble classifier to identify these anomalies. The proposed ensemble classifier uses Extreme Learning Machine (ELM), Naive Byes (NB), and k-nearest neighbor (KNN) classifier. RIPE and BCNET, datasets are used to evaluate and compare the proposed technique. The findings of the analysis indicate that on both datasets, the proposed classifier provides better classification accuracy.
Mixed Methods Study: Integrating Mobile Games in Teaching English Vocabulary in Formal Saudi Education

The purpose of this study is to investigate the potential and effects of using mobile device games on learning English as a Foreign Language (EFL) vocabulary in a Saudi female public high school.Although English has been taught in Saudia Arabia since 1958, the learning outcomes have not been satisfactory, hence the imperative to research new teaching methods.After conducting pilot studies of five mobile games with teachers and students, The English Bee, an original game specifically designed for this research project, was.selected.The study comprised two participant cohorts: one taught through The English Bee, the other a control group taught by traditional methods.It employed a mixed methodology of a number of collection techniques for both qualitative and quantitative data, namely, pre-and post-tests, focus group discussions, interviews and reflective essays.The results show that using mobile game helps to improve students' achievements in learning EFL vocabulary, in terms of both the spelling of words and pronunciation recognition, as well as in enhancing their positive attitudes towards learning a foreign language.These results will assist other researchers, developers and educationalists worldwide, in choosing or programming games for learning both English and other foreign languages.
Interaction in the Online Environment: Digital Etiquette

Recently, almost all processes associated with social interaction, have either been completely transferred to a virtual environment or have their online counterparts. Since March 2020 there have been rapid changes in social interaction. There was also a significant qualitative shift towards the increasing use of digital resources. All those, who switched to the remote mode, had to quickly master the skills of working in the online environment, learn how to operate different programs and platforms that allow the exchange information via the Internet. Most importantly, society had to learn to cooperate and interact efficiently in the new reality of the pandemic. Such effective interaction is closely related to the observance of digital etiquette. The author explores the phenomenon of digital etiquette, defines it, provides its classification and characteristics and concludes that digital etiquette is the basis for effective communication in the online environment.
A Survey of Data Mining Activities in Distributed Systems

Distributed systems, which may be utilized to do computations, are being developed as a result of the fast growth of sharing resources. Data mining, which has a huge range of real applications, provides significant techniques for extracting meaningful and usable information from massive amounts of data. Traditional data mining methods, on the other hand, suppose that the data is gathered centrally, stored in memory, and is static. Managing massive amounts of data and processing them with limited resources is difficult. Large volumes of data, for instance, are swiftly generated and stored in many locations. This becomes increasingly costly to centralize them at a single location. Furthermore, traditional data mining methods typically have several issues and limitations, such as memory restrictions, limited processing ability, and insufficient hard drive space, among others. To overcome the following issues, distributed data mining's have emerged as a beneficial option in several applications According to several authors, this research provides a study of state-of-the-art distributed data mining methods, such as distributed common item-set mining, distributed frequent sequence mining, technical difficulties with distributed systems, distributed clustering, as well as privacy-protection distributed data mining. Furthermore, each work is evaluated and compared to the others.
서울특별시 E구의 평생학습관의 네트워크 분석 - 사회연결망 분석을 중심으로

This study analyzed the structural and procedural characteristics of network among E-gu lifelong learning center and other community based institutions. The study was occupied social network analysis with using R and Gephi, and descriptive statistics, paired t-test with SPSS. Through these analyses, the researcher tried to clarify the types of social network structures and the organizations that exercises the central influence of the E-gu lifelong learning center. As the results, the structural characteristic of the network show that E-gu lifelong learning center had a highly centralized structure. Also, E-gu lifelong learning center had built their network through mainly work related cooperation. The study would be contribute to the expansion of various lifelong learning activities at E-gu lifelong learning center by networking local resources. Furthermore, this study might be expected to be a significant for other local communities and institutions to develop their educational horizon.
Issues of Fostering Ability to Organize Experience Activities for Teachers Meeting the Requirements for the 2018 School Education Program in Vietnam Today

Experimental activities are the official educational activities in the general education program 2018 in Vietnam. In order to meet the requirements of the program implementation, the problem of fostering the ability to organize experiential activities has been of interest to local schools in recent times. However, in order to effectively implement the training towards the performance capacity of teachers, it is necessary to base on solid reasoning to ensure that the training can achieve the intended goals. The theory of the cap acity building to organize experience activities for teachers needs to determine the objectives of the fostering activities, the competencies to be fostered for teachers, the content and forms of fostering can exploit and perform for teachers to undertake content experience activities in schools.
Development of Effective Artificial Neural Network Model using Sequential Sensitivity Analysis and Randomized Training

As the machine learning algorithms evolve, there is a growing need of how to train the algorithm effectively for the large data with available resources in practically less time. The paper presents an idea of developing an effective model that focuses on the implementation of sequential sensitivity analysis and randomized training approach which can be one solution to this growing need. Many researchers focused on the implementation of sensitivity analysis to eliminate the insignificant features ands reduce the complexity in data selection. These sensitivity analysis methods relatively take a large time for validation through modeling and hence found impractical for large data. On the other hand, the randomized training approach was found to be the most popular approach for training the data but there is a very brief explanation available in research articles on how this training method is meaningful in getting higher accuracy. The current work focuses on the use of sequential sensitivity analysis and randomized training in an artificial neural network (ANN) for high dimensionality thermal power plant data. The sequential sensitivity analysis (SSA) technique includes the use of correlation analysis (CA), Analysis of variance (ANOVA), Akaike information criterion (AIC) in a sequential manner to reduce the validation time for all possible feature combinations. Only selected combinations are then tested against different training methods such as downward extrapolation, upward extrapolation, interpolation and randomized training in ANN. The paper also focuses on suggesting the significance of training with randomized training with comparison-based qualitative reasoning. The statistical parameters, mean square error (RMSE), Mean absolute relative difference (MARD) and R Square (R^2)were accessed for validation purposes. The research work mainly useful in the field of Ecommerce, Finance, industry and in facilities where large data is generated.
Modern Teaching Methods Inmathematics

It is well known the difficulty of teaching and learning Mathematics in schools. But, over the last years,teacher’s teaching style has changed significantly. The traditional way that Mathematics was delivered(through memorization and repeating techniques) is replaced by the modern way (applied way) of teachingand learning Mathematics. The aim of this paper is to describe the positive impact and the importance ofmodern teaching methods. This paper recommends that all Maths teachers should use modern, interactive methods in order to improve the performance of their students.
AN EVALUATION OF READING KNOWLEDGE AND LINGUISTIC READING SKILLS ACHIEVEMENT OF GRADE1 LEARNERS IN SIX SCHOOLS OF MILENGE DISTRICT OF LUAPULA PROVINCE ZAMBIA

The purpose of the study was to evaluate the Reading knowledge and linguistic Reading skills achievement of Grade 1 learners in three schools that are close to the District Administrative centre and three schools that are far from the District Administrative centre. The study employed a mixed method paradigm of an embedded method and descriptive survey design that used purposive and simple random sampling to select 6 Head teachers, 6 teachers, 6 SICs, 2 Education standards officers and 80 learners. Data was obtained from respondents by means of interviews, questionnaires and classroom observation schedules. Frequency, percentages, tables, graphs and pie-charts were used to analyze the quantitative and qualitative data obtained. Data was then analyzed by use of the Statistical Package for Social Science (SPSS) computer package. The findings revealed significant differences in that learners achievement of Reading knowledge and linguistic Reading skills between the two sets of schools. Findings showed differences in learners attendance of lessons and teachers absence in classrooms, poor state of infrastructure, multiple sessions, poor pedagogical practices, absence of adequate and appropriate teaching and learning materials in reading, limited number of textbooks, lack of improvisation, inadequate internal and external monitoring, irregular CPD meetings, poor teaching methods and techniques, inadequate assessment and poor record keeping.
Paradigm methodology of modern educational phenomena

During the period of socio-economic and political transformations, the development of higher historical pedagogical education acquires special significance, since it always reflects the policy and ideology of the state, the goals and objectives of society, due to the peculiarities of its development, the need for training highly qualified specialists. It reflects the level of development of science, economy, culture, mental characteristics nations, its traditions and the like. Such a change is objectively conditioned, because the philosophical foundations of educational policy, the organization of training and education are transformed (at best) resonantly to the fluctuations of the ideal substance of the Universe (world outlook), and therefore cannot be determined once and for all. Therefore, in the search for an answer to the key questions of an educational nature, it is necessary, first of all, to analyze the educational paradigms, which (as the retrospective analysis shows) replace each other.
LEO: Learning Energy-based Models in Factor Graph Optimization

We address the problem of learning observation models end-to-end for estimation. Robots operating in partially observable environments must infer latent states from multiple sensory inputs using observation models that capture the joint distribution between latent states and observations. This inference problem can be formulated as an objective over a graph that optimizes for the most likely sequence of states using all previous measurements. Prior work uses observation models that are either known a-priori or trained on surrogate losses independent of the graph optimizer. In this paper, we propose a method to directly optimize end-to-end tracking performance by learning observation models with the graph optimizer in the loop. This direct approach may appear, however, to require the inference algorithm to be fully differentiable, which many state-of-the-art graph optimizers are not. Our key insight is to instead formulate the problem as that of energy-based learning. We propose a novel approach, LEO, for learning observation models end-to-end with graph optimizers that may be non-differentiable. LEO alternates between sampling trajectories from the graph posterior and updating the model to match these samples to ground truth trajectories. We propose a way to generate such samples efficiently using incremental Gauss-Newton solvers. We compare LEO against baselines on datasets drawn from two distinct tasks: navigation and real-world planar pushing. We show that LEO is able to learn complex observation models with lower errors and fewer samples. Supplementary video: https://youtu.be/YqzlUPudfkA
대학입시제도 변화에 따른 미용계열 학과 입시요강 분석 및 개선방안 연구

In this study, the entrance examination system was analyzed mainly by Hansung University, Sunggyeol University, Seogyeong University, Sungshin Women's University, and Eulji University, which had high competitiveness in the 2018-2020 academic year. These departments have drastically reduced the number of admissions starting in 2022. and also prepared an easy admission support policy by eliminating the minimum academic standards and lowering the ratio of applicants to reflect the admission guidelines, such as practical, interviews, and aptitude tests. Differentiated entrance exams for universities by expanding individual standards, even opportunities, and specialized admission. However, the admission requirements of beauty departments that have been conducted so far are in contrast to the government's policy in the future. Each university focuses on maintaining 30% of the College Scholastic Ability Test (CSAT) and expanding the student record curriculum. However, the five beauty departments are maintaining the status quo or reducing the number of regular admissions, so it is time to consider the operation plan for regular admissions. It is also expected that the number of specialized applicants through certificates will be reduced. Differentiated entrance exams for beauty departments that can replace specialized applications.I hope that the preparation of the river will be preceded by a plan to realize the educational value of the university.
Cost-Effective and Eco-Friendly Fire Investigation Training Using Photorealistic Interactive Room Scale Virtual Reality

Reality in Virtual Reality Limited (RiVR) conducted research with various fire services in UK, USA, and Europe to understand how fire departments train personnel in the discipline of fire investigation. The aim was to identify if this task could be replicated in VR using an immersive VR application to improve the health and safety of practitioners, reduce the ecological impact, save costs and improve accessibility. Although the product has only been released in 2020, the feedback and adoption provides a good example of the efficacy of immersive content for training and development in this particular field and has also helped to create a roadmap for future expansion across the blue light service community.
Guest Editors’ Introduction to the Joint Special Section on Secure and Emerging Collaborative Computing and Intelligent Systems

This joint special section of IEEE Transactions on Emerging Topics in Computing (TETC) and IEEE Transactions on Dependable and Secure Computing (TDSC) focuses on the security, privacy and trust of the emerging collaborative computing and intelligent systems. The Internet coupled with recent advances in computing and information technologies, such as IoT, mobile edge/cloud computing, cyber-physical-social systems, and artificial intelligence/machine learning/deep learning, have paved the way for creating next-generation smart and intelligent systems and applications that can have transformative impact in our society while accelerating rapid scientific discoveries and innovations.
Deep visual identity forgery and detection

With the wide application of deep learning techniques in video and image generation, the quality of visual identity forgery, especially face forgery, is becoming increasingly high. The detection of visual identity forgery has been a hot issue because of its important influence on both national security and social stability. In this paper, we introduce recent researches on deep visual identity forgery from target-specific face forgery and target-generic face forgery. We further summarize the techniques of detecting visual identity forgery from multiple categories, including the spatial clue based methods, the temporal clue based method, the techniques for generalizable forgery detection and spoofing forgery detection models. We later present the public datasets and performance of representative approaches on these datasets. Finally, the issues and challenges in existing research are discussed.
Evolution of Graphic Design from the Paleolithic Era

This paper discusses the evolution of graphic design from the epochs of human history beginning in the Paleolithic era. It articulates the emanation of graphic design from the early man’s need to interact with his environment in the Paleolithic era. Early people in Africa and Europe left paintings in caves, including the famous Lascaux caves in southern France. It delved into the Mesolithic era which manifested in the creation of complex settlements requiring capacity development. In Africa, the Neolithic era was characterized by outdoor rock art, including petroglyphs and a diminishing amount of cave painting, notably hand stencils and other pictographs and Pictogram. The Neolithic era significantly ushered in enormous development in human societies, rearing of animals, farming and the beginning of hieroglyphic writing systems from Africa using the pictorial methods of communication. The paper also enunciated the rise of graphic design from the 19th and 20th century to the new millennials and the consequential impact of digitalization on graphic design practice in responding to the need of the society.Keyword: Paleolithic  Mesolithic  Neolithic Pictogram
Development of Discovery Learning-based E-modules Using PDF Flip Professional Software Integrated with the Website as An Alternative to Learning Physics During the Covid 19 Pandemic

This research aims to determine whether the development of discovery learning–based e-module using the professional PDF flip software integrated with the website can be an alternative in learning physics during the COVID-19 pandemic. This type of research is a preliminary study with qualitative descriptive research methods. The instrument used is a questionnaire with four categories, which is then distributed to teachers and students. The subjects in the study were physics teachers and students at SMA Negeri 3 Palu and SMA Karunadipa Palu. The data analysis used a qualitative description of the answer given by teachers and students. The results of preliminary studies show that: COVID-19 pandemic resulted in a look place online so that teachers needed teaching materials and practical media to be used without face-to-face learning. The research concludes that e-module development-based discovery learning using professional PDF flip software is integrated with the website as an alternative in learning physics during the COVID-19 pandemic.
Fundamental Game Scoring Techniques

Chapter 2 dives further into the technical side of game scoring fundamentals. The reader will learn how game composers structure their scores using techniques like horizontal resequencing and vertical layering, as well as looping and stingers. These fundamental methods of scoring games are essential to any game composer’s tool set, and this chapter leaves the reader with the necessary knowledge to jump right into game scoring.
SULFOARSENIC ORE FORMATION WITH GOLD INTO THE SHEAR ZONE OF EAST TRANSBAIKALIA BRANCH OF THE MONGOL-OKHOTSK SUTURE (POGROMNOE DEPOSIT, EAST TRANSBAIKALIA, RUSSIA)

Pogromnoe deposit of gold-sulfide-quartz formation of stringer-disseminated ore type is formed into shear zone between overthrusts within the block of volcanic-sediment basin along the part of the Mongol-Okhotsk suture. Paragenesises of zonal quartz-albite-mica metasomatic formation correspond to profile of the moderate acid leaching. Near ore metasomatic replacements are dated as 139.5± 1.2 Ma. The absolute age of gold-bearing stockworks formation is 131±1.2 Ma. Ore minerals are arsenopyrite, pyrite, additional sphalerite, chalcopyrite, pyrrohotite, sulfosalts, gersdorffite, rare molybdenite and magnetite. Diffusion coefficient of As was calculated into zonal metacrystals of arsenopyrite and pyrite in ores. The established temperature interval of ore gold sedimentation is based on the physico-chemical modeling with SEJEKTOR software as equal 350–150°C. The ore gold formation was generated by sulfoarsenide hydrothermal solution containing gold as AuAsS2 and H2AuAsS3 complexes for concentration of dissolved S ≥ 0.01 ÷ 0.001 m and As ≥ 0.005 ÷ 0.0005 m respectively.
S. Del Gaudio (ed.), Italijs’ko-Ukrajins’ki Kontrastyvni Studiji: Movoznavstvo, Literaturoznavstvo, Pereklad/Studi Contrastivi Italo-Ucraini: Linguistica, Letteratura, Traduzione/Italian-Ukrainian Contrastive Studies: Linguistics, Literature, Translation,

Book Review
RFID and Libraries

RFID or Radio Frequency Identification is a technology that is used for tracking and identifying objects or, in other words, inventory control.RFID has been widely used in passports, smartcards, home appliances, merchandise tags, animal’s tags, automobiles, for monitoring heart patients and has even gone as far as in the operation of satellites and spacecraft. RFID technology has also entered the library space. This paper lays out the basics of RFID in terms of information and functions and how it has revolutionized the library space both in terms of management, circulation as also security of books and resources and has established a greater level of ease and efficiency at the end of both the library staff as well as the users.