Reviewerly/exHarmony huggingface dataset:
Formation of Italian language speaking competence in students using a manual “L’italiano è facile”

The article proves that foreign language competence in speaking is the most important component of the process of preparing students for intercultural communication and the development of speaking skills is extremely complex and requires the search for modern tools and teaching aids. The main difficulties influencing the formation of Italian language speaking competence in high school students have been identified. Among them: lack of motivation; psychological discomfort; vocabulary deficit; language barrier; fear of expressing one’s own opinion; excessive use of the native language in foreign language lessons. In order to overcome these difficulties, the manual «L’italiano è facile» have been developed, which includes exercises for the development of speaking skills in Italian language lessons in high school students. The manual combines exercises that develop students’ skills of both monologue and dialogic speech. The structure of the manual includes exercises in 6 thematic blocks, as well as lexical applications according to each of the topics: «Viaggio» (Travel), «Cucina» (Kitchen), «Stare bene fisicamente» (Feel healthy), «Shopping» (Shopping), «Educazione» (Education). The article presents a methodical experiment organized to test the effectiveness of the developed system of exercises for the formation of Italian language speaking competence in high school students in the manual «L’italiano è facile». The hypothesis of the experiment has been formulated, its stages have been described, the content and tasks of pre- and post-experimental sections have been analyzed. The results of experimental sections, which confirmed the overall effectiveness of the developed system of exercises, have been presented and interpreted. It is proved that the development of modern interesting teaching aids for learning Italian is a priority for the promotion of this foreign language in Ukraine.
Announcement: The 2021 Hojjat Adeli Award for Outstanding Contributions in Neural Systems

International Journal of Neural SystemsVol. 31, No. 09, 2182001 (2021) AnnouncementFree AccessAnnouncement: The 2021 Hojjat Adeli Award for Outstanding Contributions in Neural Systemshttps://doi.org/10.1142/S0129065721820013Cited by:0 Next AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Published: 5 July 2021 Remember to check out the Most Cited Articles! Check out our titles in neural networks today! FiguresReferencesRelatedDetails Recommended Vol. 31, No. 09 Metrics Downloaded 43 times History PDF download
LIBYA: Budget 2021

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 4 p. 23408A-23408B Policy and Practice LIBYA: Budget 2021 First published: 12 June 2021 https://doi.org/10.1111/j.1467-6346.2021.10023.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume58, Issue4June 2021Pages 23408A-23408B RelatedInformation
METHODOLOGICAL FEATURES OF FORMATION OF THE CULTURE OF CRITICAL THINKING OF PRIMARY SCHOOLCHILDREN

The article deals with the methods and techniques for the development of critical thinking of primary schoolchildren, which are fundamentally different from the reproductive style of learning. The development of critical thinking of students can largely meet the requirements of modernity, namely: the content of education is considered not as a material for learning, but as a material for research; the student in this system is one of the main subjects of cooperation; the teacher, acting as an assistant, encourages students to maximum cognitive activity, maintains a creative psychological climate through co-creativity with students. It is noted that for the quality organization of the educational process and achievement of the set goals it is important to correctly apply the tools and methods of development of critical thinking. The article suggests a detailed description of the basic methods and techniques for the development of critical thinking and features of their application at primary school lessons. It is noted that the technologically correct application of methods and techniques for the development of critical thinking will promote active learning of students and form a culture of critical thinking.
Educational Opportunities

Journal AWWAVolume 113, Issue 4 p. 102-102 Departments Educational Opportunities First published: 03 May 2021 https://doi.org/10.1002/awwa.1717Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume113, Issue4May 2021Pages 102-102 RelatedInformation
Advanced Photonics Technology for Trapped Ion Quantum Computing

Trapped atomic ions manipulated by laser beams is a leading candidate to construct scalable and practical quantum computers. Fully programmable quantum computers have been constructed using this technology, offering the highest performance quantum computing in commercial setting. Controlling atomic qubits with lasers is at the heart of constructing reliable trapped ion quantum computers. In this talk, I will discuss the stringent requirement for the optical systems required to build high performance trapped ion quantum computers, and prospect for constructing scalable systems in the future.
Reviewer Acknowledgements

Applied Economics and Finance (AEF) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether AEF publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue.Reviewers for Volume 8, Number 3 Albert Henry Ntarmah, Jiangsu University, GhanaAli Massoud, Sohag University, EgyptAyoub Taha Sidahmed, SIU, SudanDyah Wulan Sari, Airlangga University, IndonesiaIulia Lupu, Victor Slavescu” Centre for Financial and Monetary Research, Romanian Academy, RomaniaMurad Harasheh, University of Milan-Bicocca, ItalyNuno Crespo, ISCTE-IUL, PortugalPayal Chadha, University of Wales Prifysgol Cymru, KuwaitRajeev Rana, APB Govt. P.G. College, IndiaRamona Orastean, Lucian Blaga University of Sibiu, RomaniaSteven V. Cates, Purdue University-Global, USAVictoria Cociug, Academy of Sciences of Moldova, MoldovaY. Saidi, M’sila University, Algeria Nikki GibbsEditorial AssistantOn behalf of,The Editorial Board of Applied Economics and FinanceRedfame Publishing9450 SW Gemini Dr. #99416Beaverton, OR 97008, USAURL: http://aef.redfame.com
Investigation of Ornamented Bone Items from the Olskaya Site Using Three-Dimensional Modelling

This paper discusses the practical application of three-dimensional modelling technologies in studying bone artefacts with engraved images of the paleometal era. To achieve the study goal, we carried out a comprehensive analysis of the antler crest obtained from excavations at the Olskaya site, one of the key archaeological sites of the Tokarev culture in the Northern Priokhotye. The artefact under discussion has a complex geometric pattern, which made it possible to use it to test various tools of 3D modelling technology. As a result of our research, we reconstructed the operational sequence of the item production, which involved splitting a reindeer antler to obtain a blank, planing, double-sided cutting of teeth, surface preparation by grinding, ornamentation, and perforation. The linear ornamentation on the crest makes up a composition of horizontal motifs as stripes of small rectangles and zigzags made in double lines. 3D scanning technologies made it possible to obtain accurate data on the morphometric parameters of decorative elements, the sequence of their application and the tools used. As a result of our measurements, we found out that the metric characteristics ofwhole rectangles in the ornamented composition differ significantly. The study results showed a minimum difference in the cut lines ’depth, both in rectangles of all rows and diagonal stripes. The revealed features made it possible to assume that one master who used the same tool cut the ornament. The nature of the processing traces shows that the design of the teeth and decoration were made with different tools. The obtained data indicate the presence of specialization in the toolkit of bone carving production and a generally high level of bone processing technologies among the Tokarev culture people.
Distinguishing between humans and computers in a card game with imperfect information

The purpose of this study is to analyze the behavior of humans and computers, and distinguish, from the results of the analysis, between humans and computer programs. In this study, we focus on the players of Daihinmin, which is a card game with imperfect in- formation. Although not many Daihinmin play logs for human players have been collected, research on the principles of human behavior has been successfully conducted. For that purpose, we propose a method to distinguish between human and computer players using decision trees to represent player characteristics and to compare the differences between them. To evaluate the effectiveness of the proposed method, we apply it to distinguish between human and computer players of Daihinmin. Based on the results, we examine the validity of the proposed method and discuss its potential.
DETECTING SERVER-SIDE ENDPOINTS IN WEB APPLICATIONS BASED ON STATIC ANALYSIS OF CLIENT-SIDE JavaScript CODE

The problem of server-side endpoint detection in the context of blackbox security analysis of dynamic web applications is considered. We propose a method to increase coverage of server-side endpoint detection using static analysis of client-side JavaScript code to find functions which generate HTTP requests to the server-side of the application and reconstruct parameters for those functions. In the context of application security testing, static analysis allows to find such functions even in dead or unreachable JavaScript code, which cannot be achieved by dynamic crawling or dynamic code analysis. Evaluation of the proposed method and its implementation has been done using synthetic web application with endpoints vulnerable to SQL injections, and the same application was used to compare the proposed method with existing solutions. Evaluation results show that adding JavaScript static analysis to traditional dynamic crawling of web applications may significantly improve server-side endpoint coverage in blackbox application security analysis.
Knowledge Representation Using Probabilistic Model and Reconstruction-Based Algorithms

Representation learning is a prominent area in the machine learning due to the underlying fact that the performance of machine learning methods is dependent on a surmount extent on the choice of data representation. In this chapter, a primary focus is given to the different learning and probabilistic models. Probabilistic graphical models (PGMs), like directed graphical models (DGMs), alternatively called Bayesian networks (BNs) and undirected graphical models (UGMs), alternatively called Markov random fields (MRFs), are discussed. As over many years, knowledge graphs are convened for a varied area, these can be reutilized in PGMs. PGMs help assess the model structure and furthermore aid in providing solutions to tasks like inference or learning in accordance with estimating parameters of probability functions. This chapter throws light on restricted Boltzmann machines (RBMs) that have had a high impact on the fields of unsupervised feature learning and deep learning. They are used exclusively for dimensionality reduction, classification, regression, collaborative filtering, feature learning, and topic modeling as they are a special class of Boltzmann machines and are restricted in terms of the connections between the visible and the hidden units. Some of the advancements in defining generalizations of the RBM that better capture real-valued data along with various approaches to modeling real-valued observations within the RBM framework are further explored. In training various probabilistic models, parameters are typically adapted to maximize the likelihood of the training data and hence RBM parameter estimation is also discussed. Auto encoders that are an unsupervised learning technique, just like Principal Components Analysis (PCA) technique, mostly known as a dimensionality reduction technique, which broadly falls in the category of regularized, sparse, and denoising, are discussed. The chapter ends by evaluating and monitoring the performance of all the learning algorithms and models by weighing theory usability for any given task.
Boosting Few-Shot Learning with Task-Adaptive Multi-level Mixed Supervision

In this paper, we propose a novel task-adaptive few-shot learning (FSL) method called Multi-Level Mixed Supervision (MLMS), which adapts a classifier specifically for each task by mixed supervision. Our method complements the supervised training with a multi-level unsupervised loss including the instance-level certainty term, set-level divergence term, and group-level consistency term. We further modify the set-level divergence term under the unbalanced prior situation where different classes of the unlabeled set contain different numbers of samples. Besides, we propose an approximate solution of minimizing our MLMS loss which is faster than the gradient-based method. Extensive experiments on multiple FSL datasets demonstrate that our method outperforms several recent models by an obvious margin on both transductive FSL and semi-supervised FSL tasks. Codes and trained models are available at https://github.com/Wangduo428/few-shot-learning-mlms.
Random Technology

Modern technology increasingly uses randomness to avoid lockstep behaviour and the suppression of unwanted regularity. The nature of noise is explored, and in particular the use of noise to obscure unwanted signals, either explicitly, using techniques like jitter or dither, or in the abstract. Machine-learning techniques rely on randomness to explore the solution space of a problem. Simulated evolution can be an effective way to tackle design problems, and relies on randomness.
Identifying social media sentiment trend: Analysis &amp; Comparison of Covid-19 with Global Financial Crisis

Twitter Sentiment Analysis is an imminently useful field that addresses the idea of investigating elements and messages posted on the social media site Twitter in terms of expressed sentiments. This research aims to provide analysts with a comprehensive methodology in which data gathered from Twitter can be rapidly analyzed to determine the emotions and sentiments. The created process will allow for the trend of collective sentiments to be analyzed at any given time. This analysis is carried out in both a Pre-Covid and Post-Covid scenario, and the sentiments are compared to a post-2008 financial crisis scenario to examine the interrelationship between general sentiment trends and the state of financial markets.
Disyllabic post-nominal locatives in Mandarin Chinese

In this paper, I focus on disyllabic post-nominal locatives in Mandarin Chinese. In the literature, disyllabic post-nominal locatives have traditionally been considered nouns. Recent proposals, however, have offered different analyses. In Wu (2015), the typical disyllabic post-nominal locative falls somewhere between an adposition and a noun. Djamouri/Paul/Whitman (2013) and Paul (2015) discuss some new disyllabic post-nominal locatives and propose that they are postpositions. In contrast to these analyses, I argue that the commonly analyzed disyllabic post-nominal locatives are indeed nouns, and that so too is one subtype of the locatives recently proposed to be postpositions. I further examine this subtype and discuss its unique behavior. Finally, a diachronic study of disyllabic post-nominal locatives indicates that they may not share the same analysis as mono-syllabic post-nominal locatives.
THE IMPLEMENTATION OF SIMPLE PRESENT VERB AND VOCABULARY MASTERY TOWARDS STUDENTS' WRITING SKILLS IN PROCEDURE TEXT

&lt;p&gt;This research is a kind of survey and aims to determine the effects of simple present verb and vocabulary mastery on students' writing skills in procedure text. This research has three variables which are divided into two independent variables and one dependent variable. Test scores do the collection of the data for independent and dependent variables. The gained data were then analyzed by using the multiple regressions method. The results of this research are: 1) There are significant effects of simple present verb and vocabulary mastery towards students' writing skills in procedure text. It is proved by Sig.= 0.000 &amp;lt; 0.05 and Fobserved = 12.541; 2) There is a significant effect of simple present verb towards students' writing skill in procedure text. It is proved by Sig.= 0.000 &amp;lt; 0.05 and tobserved = 2.041; 3) There is a significant effect of vocabulary mastery towards students' writing skills in procedure text. It is proved by Sig.= 0.000 &amp;lt; 0.05 and tobserved = 2.201.&lt;br /&gt;Keywords: simple present verb, vocabulary mastery, procedure English text&lt;/p&gt;
Kelayakan Media Pembelajaran Booklet Buah Hyphaene thebaeca (L.) Mart

Learning that is carried out using learning media is proven to be easier to understand and makes learning more fun. This study aims to determine the feasibility of booklets as learning media. The method used is research and development. The stages of this research include analyzing potential and problems related to learning media, collecting information on learning media booklets, designing and compiling booklets, validation by two validators, and revising products based on suggestions from validators. The assessment of the feasibility of the booklet includes aspects of format, content, and language. The validation results were then analyzed using Gregory's calculations. The results of this study indicate that the validity value of the format aspect, content aspect, and language aspect is 1.00 each, and the average validity value of the three aspects is 1.00. Overall, the criteria for the validity of the booklet are very high and the booklet is worthy of being used as a learning medium
MENCARI MODEL DESAIN KARAKTER DAN VISUALISASI PENOKOHAN DISC TEAM DALAM PEMBUATAN KOMIK

This design is made with the purpose of answering the problem that DISC Team is facing about product development. DISC Team is a series of short comics that has4 main characters that are inspired by the DISC personality trait. This comic tells the story of their daily lives and how they face problems according to the DISC personality trait. DISC Team has a target market that consists of young adults age from 15-25 years old who has an interest in reading comics and has the drive to learn about personality and how to face them. But after doing a survey with the target market and interviewed the extreme and expert users, there are problems that DISC Team is facing. These problems are the lack of interaction and knowledge about the presence of DISC Team, so further product development is needed. And because of that, the writer has a come up with a solution by changing the comic design. The research method that is used for this Final Project is literature study from sources like books, scientific journals and online articles. After the literature studies, the results are the designs for comic and its’ characters. &#x0D; &#x0D; Keywords: Product development, Comic, DISC personality
Application of Nave Bayes Algorithm for SMS Spam Classification Using Orange

Mobile phones have become a necessity for everyone. SMS is a communication service that is used to send and receive short messages in the form of text on mobile phones. Among all the advantages of SMS, there is a very annoying activity called spam (unsolicited commercial advertisements). Spam is the continuous use of electronic devices to send messages. called spammers. Spam messages are sent by advertisers with the lowest operating costs. Therefore, there are a lot of spammers and the number of messages requested is huge. Therefore, many aspects are harmed and disturbed. When SMS enters the user's mobile device, this study aims to classify spam and ham SMS. SMS classification adopts naive Bayes method. By looking at the contents of the SMS, the application of the naive Bayes method in data mining can distinguish unwanted SMS from non-spam. Results The classification accuracy rate is 0.999%. Based on the research that I have done, the Naive Bayes method can classify 1000 SMS spam data contained in the SMS spam data set file correctly.
Development of a data logger for use in a photovoltaic monitoring system / Desenvolvimento de um registrador de dados para uso em um sistema de monitoramento fotovoltaico

This paper describes the development of a data logger used in a photovoltaic monitoring system, whose purpose is to store time series data for subsequent analyses. By accurately monitoring electrical and meteorological parameters after installation of a photovoltaic power plant, the electrical generation performance in photovoltaic systems can be optimized. Disturbances in electrical parameters are partly caused by inaccuracy in climate variables, but also by degradation and errors in the photovoltaic system. Storing large volumes of data over a long period of time is a widespread use of data loggers, and this helps in composing a database that can provide higher quality to the photovoltaic systems and their operational analysis. The data logger developed in this study used a single-board Raspberry Pi 3 Model B computer in conjunction with specific programs and protocols. The data logger’s main software was coded using Javascript high-level programming language added to a PostgreSQL database and ModbusTCP communication library.