Reviewerly/exHarmony huggingface dataset:
Retraction: Research on the innovation of college music teaching mode based on Artificial Intelligence (J. Phys.: Conf. Ser. 1915 022051)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Retraction: Computer Software Design Based on Cloud Platform High-Performance Computing (J. Phys.: Conf. Ser. 1915 032005)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Retraction: Analysis of English Teaching Mode in Big Data Environment Based on Hadoop Cloud Platform (J. Phys.: Conf. Ser. 1992 022165)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Retraction: Study on the Mixed English Teaching Model in Higher Vocational Colleges Under the Background of Big Data (J. Phys.: Conf. Ser. 1852 032013)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Taking A Look At The Support Verb Construction V A Look: A Demonstration Of Methodology

constructions that we also use to deal with a rather different sort of event, namely that of people or objects moving from one place to another (
Research on Online Education Resources Recommendation Based on Deep Learning

For the problem of knowledge overload in the process of online learning and the traditional algorithm's poor recommendation accuracy and real-time performance in the massive educational resources, a deep learning-based recommendation model for online educational resources is proposed. First, attribute features of learners and learning resources are extracted, and then text features of learning resources are extracted, and attention fusion of features at multiple different scales is performed using a multiscale fusion strategy. Finally, the fused features are used as input to the multilayer perceptron to train the classification model. Through testing a variety of educational resources, it is verified that the model in this paper has better real-time performance while maintaining high detection accuracy and outperforms the mainstream comparison model in several indexes, which have a certain application value. It provides a new way of thinking for educational platforms to build real-time educational resource recommendations.
The role of brand image and brand trust through electronic word of mouth in creating parent’s interest to sending children to school

A good education is expected to be able to lead the community to achieve the expected success, add skills, and form a good character in individuals. The purpose of this study is to analyze the role of brand image and brand trust in creating parents' interest to sending children to Bali Public School Denpasar Elementary School through electronic word of mouth as a mediating variable. The study population was all parents of students of SD Bali Public School Denpasar with a sample used as many as 100 parents of students as respondents. The research instrument uses questionnaires as well as several other data collection methods such as observation, interviews and literature and analysis methods using descriptive analysis and inferential analysis with SEM PLS analysis. The results showed that brand image and brand trust had a positive and significant effect on electronic word of mouth. Brand image, brand trust, and electronic word of mouth have a positive and significant effect on the interest of parents of students. The implication of the research is the need to provide an understanding for parents that each school is able to provide adequate education for each of its students. Young teachers should receive training on an effective teaching system so that the skills of young teachers are improved in creating an effective teaching and learning process.
Emotional intelligence and autism spectrum disorder

In recent years there has been a growing interest in people on the autism spectrum emotional intelligence, an area in which people with Autism Spectrum Disorder (ASD) show a deficit. The aim of this work is through a literature review of the research a) to illustrate the emotional development and education of individuals on the spectrum and b) to present the findings of eye-tracking, neuro-imaging, and electro-physiological studies in individuals with ASD because they allow researchers, among other things, to discover the mechanisms and how they affect emotion. (c) Raise questions about the development of educational methods aimed at enhancing the emotional development of individuals on the autism spectrum and subsequently the development of social skills.
HandWritten Digit Prediction Using Machine Learning

Abstract Handwriting recognition has been an active and challenging area. Handwriting recognition system plays a very important role in today’s world. At present time it is very difficult to find the correct meaning of handwritten documents as different people have different ways of writing digits or texts. There are many areas where we need to recognize the words, alphabets and digits like postal addresses, bank cheques etc. The main aim of this project is to make a GUI based application that allows users to predict the digits drawn on the interface using machine learning and shows the results in percentage how likely the prediction is correct. The project will be built using python and the application will be trained with the help of dataset from MNIST using linear regression algorithm
Bilingual dictionary generation and enrichment via graph exploration

In recent years, we have witnessed a steady growth of linguistic information represented and exposed as linked data on the Web. Such linguistic linked data have stimulated the development and use of openly available linguistic knowledge graphs, as is the case with the Apertium RDF, a collection of interconnected bilingual dictionaries represented and accessible through Semantic Web standards. In this work, we explore techniques that exploit the graph nature of bilingual dictionaries to automatically infer new links (translations). We build upon a cycle density based method: partitioning the graph into biconnected components for a speed-up, and simplifying the pipeline through a careful structural analysis that reduces hyperparameter tuning requirements. We also analyse the shortcomings of traditional evaluation metrics used for translation inference and propose to complement them with new ones, both-word precision (BWP) and both-word recall (BWR), aimed at being more informative of algorithmic improvements. Over twenty-seven language pairs, our algorithm produces dictionaries about 70% the size of existing Apertium RDF dictionaries at a high BWP of 85% from scratch within a minute. Human evaluation shows that 78% of the additional translations generated for dictionary enrichment are correct as well. We further describe an interesting use-case: inferring synonyms within a single language, on which our initial human-based evaluation shows an average accuracy of 84%. We release our tool as free/open-source software which can not only be applied to RDF data and Apertium dictionaries, but is also easily usable for other formats and communities.
Methods and techniques of professional training of beginner teachers. Comparative analysis

The status, merits and importance of a profession in society are given by the level of qualification of the practitioners, but also by the skills and professionalism they demonstrate. In addition to these attributes there must also be motivation, perhaps it is the most important aspect of all those listed. The teaching profession also belongs to the category of professions that successfully fall under this rule. The performance of the educated requires thorough training and motivation from the teachers. That is why in order to have remarkable results in education, we need not only reforms, but also teachers trained from a theoretical point of view, but also from a practical point of view. In the teaching profession an important element is practical, because it highlights situations that are not found in books. Thus, the future teacher observes the problem situations in advance and is documented. Through practice, teachers are motivated to deepen the theoretical notions as well.
Assessment of digital knowledge and research skills and overview of on going work at the national level, forecasting. Concepts of digitization

Even though it is impossible to determine when proverbs and sayings developed as one of the most common genres of folk literature, its history is closely related to the formation of oral speech and the enrichment of the shades of the meaning of the language. Even though proverbs and sayings turned out to be an integral part of oral speech and were occasionally recorded in epics, fairy tales, and folk stories in classical literature, particularly in large-volume works of written folklore literature, this part of paremiological units was not recorded in a separate collection, and perhaps there was no need for it in the Middle Ages. Because proverbs that are brief in form, deep in meaning, and distinguished for their accurate direction of thought during conversation are simpler, easier to remember, and less likely to be forgotten compared to epics and large-scale folkloric writings. This explains why there are so few collections of proverbs and sayings compared to epics and extensive folklore works of other genres that were recorded in earlier times. In general, today, we consider a written version of any epic, fairy tale, narrative, or other oral folk literature to be a rare literary work if it is discovered in a treasure, a private archive. The scientific community always reacted to such findings with great interest and attention. Therefore, the focus of folklore studies has always been on the sources in which proverbs were recorded.
Fake Reviews Detection through Machine learning Algorithms: A Systematic Literature Review

Abstract These days, most people refer to user reviews to purchase an online product. Unfortunately, spammers exploited this situation to post deceptive reviews and mislead consumers either to promote a product with poor quality or to demote a brand and damage its reputation. Among the solutions to this problem is human verification. Unfortunately, the real-time nature of fake reviews make the task more difficult especially on e-commerce platforms. The aim of this paper is to conduct a systematic literature review to analyze proposed solutions by researchers who were working on setting up an automatic and efficient framework to identify fake reviews, unsolved problems in the domain and future research direction. Our findings emphasize the importance of the use of certain features and provide researchers and practitioners with insights on proposed solutions and their limitations. Thus, the findings of the study reveals that most approaches focus on sentiment analysis, opinion mining and especially machine learning (ML) which contributes to the development of more powerful models that can significantly solve the problem and thus enhance further the accuracy and efficiency of detecting fake reviews.
Arbitrary entanglement of three qubits via linear optics

Abstract We present a linear-optical scheme for generating an arbitrary state of three qubits. It requires only three independent particles in the input and post-selection of the coincidence-type at the output. The success probability of the protocol is equal for any desired state. Furthermore, the optical design remains insensitive to particle statistics (bosons, fermions or anyons). This approach builds upon the no-touching paradigm, which demonstrates the utility of particle indistinguishability as a resource of entanglement for practical applications.
Exploring the impact of how criminals interact with cyber-networks - a mathematical modeling approach

Abstract There is a growing interest in using mathematical models to understand crime dynamics, crime prevention, and detection. The past decade has experienced a relative reduction in conventional crimes, but this has been replaced by significant increases in cybercrime. We use a system of nonlinear differential equations to explore the impact of criminal location in relation to cyber networks on the amount of cybercrime. Using steady-state analysis and extensive numerical simulations, we find that the location of criminals relative to the network does not impact the system qualitatively although there are quantitative differences. Cyber networks that are more clustered are likely to experience greater levels of cybercrime but there is also a saturation effect that limits the level of victimisation as the number of criminals attempting to undertake crimes on a given network increases.
Professional Talent Training System for Landscape Engineering Based on K-Means Algorithm

As the economy and society are developing and changing continuously, the garden industry is also developing and changing. The landscape industry has become a major focus of research on how to bring the training methods of the landscape technology profession more in line with the changing times, and how to make the training methods more in line with the needs of the industry by using modern personnel training methods. And it is important to find a good k-means algorithm to match the development of landscape engineering professionals. In this experiment, a combination of telephone interviews and questionnaires was used to ask questions about the landscape engineering profession. The respondents were the principals of the enterprise or relevant technical personnel. They learned what abilities the landscape engineering professionals needed by the society should have, and then the components were appropriate. The teaching system is used to conduct experimental teaching for landscape engineering majors, and there is also a landscape engineering professional control group for comparative analysis. The experimental results show that 27.45% of the students in the experimental group have 60–70 credits, while only 10.34% of the students in the control group have credits in this interval. The gap between the students in the two classes is very large, mainly because the experimental group pays attention to the combination of practice; practice and theory can better promote students’ mastery and application of professional knowledge. Moreover, 66.67% of the students in this experimental group found jobs in their majors. It can be seen from this that this system of cultivating talents for landscape engineering is very useful.
Retraction: Multimodal Analysis of Visual Language Based on Artificial Intelligence (J. Phys.: Conf. Ser. 1915 022054)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Retraction: Lightweight Visualization of 3D Model Based on Cloud Computing Information System (J. Phys.: Conf. Ser. 1982 012202)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Retraction: Research on the Translation System of English Cross-cultural Communication based on Computer Technology (J. Phys.: Conf. Ser. 1992 032014)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Retraction: Research on the Reform of English Education based on the Internet Information Technology (J. Phys.: Conf. Ser. 1992 022097)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Retraction: Research on Classification of Remote Sensing Images Based on Artificial Intelligence (J. Phys.: Conf. Ser. 2074 012034)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022
Retraction: Research on Teaching Ability Evaluation Model of University Teachers Based on Computer Big Data Theory (J. Phys.: Conf. Ser. 1992 032003)

This article has been retracted by IOP Publishing following an allegation that raises concerns this article may have been created, manipulated, and/or sold by a commercial entity. In addition, IOP Publishing has seen no evidence that reliable peer review was conducted on this article, despite the clear standards expected of and communicated to conference organisers. The authors of the article have been given opportunity to present evidence that they were the original and genuine creators of the work, however at the time of publication of this notice, IOP Publishing has not received any response. IOP Publishing has analysed the article and agrees there are enough indicators to cause serious doubts over the legitimacy of the work and agree this article should be retracted. The authors are encouraged to contact IOP Publishing Limited if they have any comments on this retraction. Retraction published: 9 September 2022