Reviewerly/exHarmony huggingface dataset:
Improved Regional Proposal Generation and Proposal Selection Method for Weakly Supervision Object detection

In recent years, object detection has made great progress with the continuous development of deep neural network. At present, there are many different fully supervised object detection algorithms in the field of computer vision, which are basically saturated, while object detection in a weakly supervised manner is more challenging than strongly supervised object detection. Since nowadays mature object detection algorithms rely heavily on strongly labeled datasets, but strong labeled datasets are very expensive and require huge datasets to support in order to train a better object detection model, weakly supervised object detection has received more and more attention. In this paper, a new module can be embedded in the framework of weakly supervised object detection, three modules are introduced into the weakly supervised object detection framework, which is used to generate high-quality proposals and screen these proposals, and finally selecting more accurate proposal boxes that are beneficial for subsequent training, and demonstrate their effectiveness on the PASCAL VOC2007 and PASCAL VOC2012 datasets, in which this paper achieves a significant improvement over the existing classic weakly supervised object detection algorithms with significant improvements.
Database Design of Online Education Platform Based on ThinkPHP

In recent years, internet information technology has developed rapidly, and humanity has entered the information age. The rapid development of technology has led people to gradually pursue higher quality and more diversified education. The online teaching mode of the Internet enables the visualization of teaching resources, making online education further and more convenient. The innovative application of educational technology, represented by MOOCs and WeChat courses, has attracted industry attention, and online teaching and learning have become new trends in current learning.
Disruptive Technology of the 21st Century

Blockchain is arguably the most disruptive technology of the 21st century. Although most known for its role in cryptocurrency, blockchain is utilized in several innovative ways. For example, an artist's copyright, royalties, and licensing information can be stored using smart contracts, a blockchain-backed technology. This chapter will address the role of blockchain-backed technology throughout the voting process and how state government plans of action may differ as they attempt to regulate and adopt this innovative yet disruptive technology. Additionally, it will compare different e-voting platforms and their underlying frameworks, languages, and consensus protocols. Ultimately, this chapter reveals how electoral practitioners and policymakers have responded to regulating blockchain-backed technologies and how cryptographic framework and technological advancements directly influence the e-voting ecosystem.
Cryptocurrencies and Contentious Politics

Cryptocurrencies, first introduced in 2009, have rapidly grown in value, volume, and use. The sentiment that they are no more than a passing fad and need not be dealt with by scholars or policymakers remains but is no longer legitimate. Hostile actors such as terrorist groups and sanctioned states use cryptocurrencies to finance activities ranging from deadly attacks to rogue nuclear programs. The use of cryptocurrencies by legitimate actors brings far less dramatic externalities but still presents serious issues, such as the vulnerability of citizens to cryptocurrency-related scams, lost tax revenue, and the stress cryptocurrencies place on countries' electrical grids. This chapter provides readers with an understanding of exactly how cryptocurrencies function, how hostile actors use them, and how governments respond so that they may better understand the challenges posed by cryptocurrencies and how they might be addressed.
The Vision of Freedom and the Potential of Blockchain

This chapter examines freedom and blockchain. Hegel stated that world history is the progression of freedom consciousness. While modern law and the state have facilitated the realization of freedom, blockchain technology has facilitated global, autonomous decentralization. This chapter defines freedom and explores how blockchain aids in its promotion and examines why central governments of developed countries opposed Libra, a global currency concept based on blockchain. While the central government intervened to crush Libra, this chapter shows that blockchain has vast possibilities for evolution of freedom. From the perspective of the absolute, blockchain and modern law and the state, while in conflict, will promote human freedom dialectically. This chapter uses the concepts such as publicness, autonomy, setback, external third party, facts and norms, primary rules, law and facts, family, bodily extension, constitutionalism, objective reality, absolute spirit, and so on. Also, the theories of Hayek, Habermas, H.L.A. Hart, Wittgenstein, Hegel, and so on will be utilized in this chapter.
Fundamentals of professional orientation in the system of continuing education

The system of vocational guidance is directly connected with the system of social production through the training of productive forces in the system of vocational education. In this regard, any changes in the system of social production have a huge impact on the activities of vocational guidance services in comparison with other areas of education. The author is guided by theoretical factors of professional development. In modern conditions, the development of professional competence of students of professional (continuing) educational direction in preparation for professional activities improvement of methodological and scientific and methodological foundations of acocuga, development of knowledge, skills and competencies of teachers in the negaroruk process in digital technologies, multimedia, advanced negaroruk technologies "Monodzukuri" technologies developed (Aichi University Education); through the introduction of mediatechnologies and a system of training, scientific research is carried out in higher educational institutions such as the development of creative thinking on vocational training in students (National Consultation on pedagogical technologies).
The effectiveness of the lesson study method in teaching economics in secondary school

Now, in the higher education system, it is important for students to adapt to the educational process and the process of producing specialists. In the era of a market economy, the compatibility of supply and demand and the significant role of competitive personnel in production depend precisely on the professional adaptation of personnel. The author speaks in this article about the factors influencing the professional adaptation of specialists. Pedagogical conditions are diagnostics of new professional qualities for the adaptation of students to further professional activity, which ensures the effective implementation of other pedagogical conditions, rather than concepts of the development of professional qualities and subjects and professional indicators corresponding to new modern diagnostic requirements. The article is aimed at improving the effectiveness of the methodology aimed at adapting students to the educational process, which includes the results of the study of the didactic, psychological, social adaptation of students to the educational process, as well as the perception of national identity, the view of values as a priority problem and professional flexibility.
IMPROVING THE EFFECTIVENESS OF THE EDUCATIONAL PROCESS USING INTERACTIVE METHODS

This article considered the pressing issue of enhancing cognitive activity in high school students with the use of interactive teaching methods. To gain a better understanding of the topic, the article presents a brief overview of the theoretical background, as well as the results of a limited research study. It provides a general concept of interactive methods of learning, the objectives they aim to achieve, and the principles they are based on. The exact process of facilitating an interactive lesson is carefully planned out. The nature of the material that is covered during each stage is specified. For each topic discussed, there is a set of intellectual challenges devised to foster the development of critical and imaginative thinking, as well as the construction of mental operations, visualization, and the linking of ideas. In order to enhance the knowledge acquisition of students, a thorough analysis of the effectiveness of interactive teaching methods was conducted. This analysis included researching the impact of these methods on the critical processing of new educational material presented in the lecture. Results showed that incorporating interactive teaching techniques into the pedagogical educational programs of universities could greatly enhance students' abilities to critically process new information. For the purposes of the experiment, strategies of observation, dialogue, and inquiry were employed. Based on the findings of the study, a model has been put forward to enhance the intellectual capabilities of learners through interactive teaching approaches and suitable advice has been provided.
FACTORS AFFECTING THE PROFESSIONAL ADAPTATION OF A SPECIALIST

Now, in the higher education system, it is important for students to adapt to the educational process and the process of producing specialists. In the era of a market economy, the compatibility of supply and demand and the significant role of competitive personnel in production depend precisely on the professional adaptation of personnel. The author speaks in this article about the factors influencing the professional adaptation of specialists. Pedagogical conditions are diagnostics of new professional qualities for the adaptation of students to further professional activity, which ensures the effective implementation of other pedagogical conditions, rather than concepts of the development of professional qualities and subjects and professional indicators corresponding to new modern diagnostic requirements. The article is aimed at improving the effectiveness of the methodology aimed at adapting students to the educational process, which includes the results of the study of the didactic, psychological, social adaptation of students to the educational process, as well as the perception of national identity, the view of values as a priority problem and professional flexibility.
Post-editing Performance of English-Major Undergraduates in China: A Case Study of C-E Translation with Pedagogical Reflections

Nowadays, post-editors are in great demand in China. Therefore, this research aims to study the post-editing performance of English-major undergraduates from NingboTech University. The results indicate that: Overall, the post-editing ability of English-major undergraduates is still not sufficient for professional post-editing tasks; Their post-editing performance is related to the type of texts, and they have better performance in post-editing informative texts, while they are relatively weaker in the post-editing of expressive and vocative texts; Their post-editing quality is related to their dependence on machine translation, and the group with higher post-editing quality has a relatively lower average dependence on machine translation, but no proportional correlation is found between the two; The errors in students’ post-editing versions can be mainly classified into language competence-related errors and translation competence-related errors. Based on the results, several pedagogical implications for post-editing teaching in the future are discussed.
Preparing future teachers for creative activities at school

We are talking about the relationship of scientific and theoretical knowledge acquired by students in the process of studying at a pedagogical university in various disciplines, but little has been written about the creative interaction of a teacher with students in the course of their professional activities. The article analyzes the works of domestic and foreign scientists on the issue under consideration.In addition, a system-functional model of the teacher's activity in the formation of students' creative abilities is presented. Criteria, indicators, levels of formation of creative abilities of students are given. In the practical part, the methodology for the formation of students' creative abilities is presented. This model assumes further improvement and independent development of personal and professional competencies of future teachers. The elective course "Creative activity of a future teacher in a modern school" is offered to senior students. The elective course is designed for 45 hours, of which: lectures - 15 hours, seminars - 15 hours, practical classes - 15 hours. It should be noted that the problem of forming the readiness of future teachers for creative activity at school has not yet been sufficiently studied. Thus, the analysis of the educational process in pedagogical universities allows us to conclude that this issue has not been given due attention. The purpose of the article is to determine the level of preparation of future teachers for creative activity at school and to ensure its implementation by the author's methodology.
Increasing students' interest in scientific work in chemistry through research lessons

At present, the organization of research work of students at school is considered a popular form of the educational process and a necessary means of forming students' own creative attitude to life. One of the most important tasks in the education system is to educate a student-researcher who knows new methods of research, who is able to creatively approach problem solving, independently search and replenish his knowledge. In particular, the organization of research lessons, the implementation of lessons with elements of research, the creation of problem situations , projectbased learning technology and participation in scientific activities. The use of research technologies in chemistry lessons contributes to the development of students' research skills and creative thinking. The development of communication skills, the ability to work with information, and its educational value. That is, the main goal of research work is not to obtain new results, as in big science, but to form the student as a creative person. If the purpose of research activity in science is to obtain new results, then the purpose of research activity in the educational process is the development of students' creative and research abilities.
Formation of future teachers' value attitude to professional activity

The article analyzes the psychological, pedagogical, methodological literature on the research topic, analyzes the definitions of foreign and domestic scientists to the basic concepts of the problem under study. The author defines the concept of "formation of a value attitude to the professional activity of future teachers", reveals its essence and composition of components. As a result of the analysis of the experience of university teachers and the work of teachers of secondary schools, a model of the formation of a value attitude to the professional activities of future teachers has been created. The model consists of 5 blocks: conceptual, target, content-activity, evaluation, and performance block. The structure of the value attitude of future teachers to professional pedagogical activity is divided into the following components: value -motivational; cognitive-operational; organizational – activity; reflexive-evaluative; emotionalvolitional. The article defines the principles of the organization of the process of forming a value attitude to the professional activities of future teachers. A methodology for the formation of a value attitude to the professional activities of future teachers has been developed. The results of the pedagogical experiment are also shown, qualitative and quantitative processing of the results is carried out. The average indicators of each component of the value relations to the professional activity of students in the experimental and control groups (the results of the ascertaining and formative stages of the experiment) are given. Conclusions on the study are made, recommendations are given.
Reform of Blended-Teaching Mode for Discipline English Based on Mobile Terminal

In the context of the era of big data, the rise of using mobile terminal is also putting forward new requirements for the teaching of Discipline English. Based on some general problems in the teaching practice of this course, we discuss whether adopting the blended-teaching mode can expand the learning space and time, enrich the learning interaction, and improve the learning efficiency in the context of big data based on mobile terminals. And then improve the quality of teaching and enhance application ability for the Discipline English.
Reconstruction of TLAPS Proofs Solved by VeriT in Lambdapi

TLAPS, the TLA+ proof system [4], is a proof assistant for the development and mechanical verification of TLA $$^+$$ proofs.
Friend Recommendation System Using Transfer Learning in the Autoencoder

Social information helps the traditional recommendation system to provide more personalized services. Autoencoder provides an unsupervised methodology for coding and decoding input data. Autoencoder balances the sensitivity of the inputs to reconstruct the same output without considering its redundancies. Online social networks of people maximize their social influences. The social influence within a friend circle is calculated based on his/her social characteristics or behaviors on social platforms. Handling large unstructured data is one of the challenges for a friend recommendation system. This paper shows a friend recommendation system using an autoencoder based on the transfer learning method. It focuses on transfer learning to capture semantic social information. Autoencoder’s work can be improved by adding more hidden layers to the existing system for better and more accurate results. Transfer learning methods are combined with textual regularization. Users’ social features are extracted from social media platforms. User’s social interaction potential features are differentiated as common behavior or uncommon behavior. These behavioral analyzers are analyzed for better recommendations. The important characteristics of trustable people are synthesized. These characteristics are transferred to the target user’s characterization. Transfer learning saves the time to recalculate the feature predictions.
Machine Learning for Drug Efficiency Prediction

Health-related social media data, particularly patients’ opinions about drugs, have recently provided knowledge for research on the adverse reactions, allergies that a patient experiences and drug efficacy and safety. We develop an effective method for analyzing medicines’ efficiency and conditions-specific prescription from patient reviews provided by Drug Review Dataset (drug.com). Our approach relies on the Natural Language Processing (NLP) principle and a word embedding vectorization method to preserve semantics. For this purpose, we conducted experiments using various sampling techniques, precisely random sampling and balanced random sampling. Furthermore, we applied several statistical models: Logistic Regression, Decision Tree, Random Forests, K-Nearest Neighbors (KNN) and Neural Network models (simple perceptron, multilayer perceptron and convolutional neural network). We varied the size of training and test data sets to study the effect of the sampling techniques on model efficiency. Compared to other models, the results show that the proposed models in this paper: KNN, Embedding-100, and CNN-Maxpooling outclass models proposed by several researchers. Indeed, Embedding-100 has achieved better training accuracy and test accuracy. Moreover, during our study, we concluded that different factors influence the effectiveness of the models, mainly the text preprocessing method, sampling techniques in terms of size and type, text vectorization method and machine learning models.
A New Chaotic-Based Analysis of Data Encryption and Decryption

Because the amount of exchange hypersensitive data via the Internet is growing at an exponential rate, network and data security have recently been the most pressing worry. On the subject of data security, many approaches are available, including “cryptography.” When data is sent from the sender to the receiver, it is encrypted using an encryption method, and when it is received by the receiver, it is decrypted using a decryption algorithm to see the exact and true data that was sent by the sender previously. Data encryption can be done in a number of ways. With algorithms like AES, DES, and RSA for data encryption and decryption, this research proposes a novel CRSA (chaotic random seed algorithm) technique. CRSA was also compared to other algorithms to see how well they performed. The experimental data presented in this work are used to examine those algorithms as well as our new CRSA algorithm. Cryptography, encryption, decryption, random reed, millisecond, and data security are all terms used in this paper.
Page Inspector - Web Page Analyser

Web Accessibility refers to apps, websites, and digital tools designed to be accessible by all users, including those with disabilities. The web is a source of public information, education, employment, government, commerce, health, entertainment, and many others, and every person, regardless of ability, has the right to access it. Imagine missing out on thousands of new customers because your competitor has an easier-to-use, WCAG-compliant website [1]. The design and development consist of an open-source web platform, PageInspector, which allows anyone to analyze a website. It was built using JavaServer and Apache Tomcat. The platform provides a set of reports, spelling, accessibility, cookies, technologies, images, subdomains, Google Lighthouse and hyperlinks. In addition to these reports, it allows the user to view their website in real time, desktop and mobile versions, as well as the source-code. All reports are available through a dedicated API, so you also can integrate with your platforms.
Analysis on the Efficacy of ANN on Small Imbalanced Datasets

Neural networks and deep learning have helped us study and analyze image data since decades. Artificial neural networks (ANNs) have helped us analyze tabular data. This paper aims at expanding clarity about the performance of artificial neural networks on datasets which are small, tabular, and imbalanced. We have used two pre-existing models, namely, MLP and TabNet, which is Google’s new model designed specially for tabular data. We have also constructed two sequential models, one with three dense layers and another with five dense layers and multiple dropout layers. These models are applied on 13 imbalanced datasets taken from the Keel repository to maintain standardization. The results from each model are compared on the basis of their average prediction accuracy, cross validated six times. Results suggest that MLP was able to provide the best accuracy for most datasets with certain exceptions. The yield of this paper will add to a better understanding of the use of artificial neural networks over tabular datasets.