Reviewerly/exHarmony huggingface dataset:
Occasionalisms in Ukrainian Facebook as a means of negative evaluation

This article analyzes neologisms (occasionalisms) appearing in the Ukrainian-language segment of the social network Facebook, which is the most popular network in Ukraine nowadays. Neologisms proved to be the most numerous among the occasionalisms under analysis. They demonstrate negative evaluation connotation primarily that of contempt. The said negative connotations are explicated via word-forming transformations. The most productive and frequent transformations registered in web discourse are: intentional low-case spelling of proper names such as toponyms (official, historical, colloquial or borrowed names of countries and territories), polysonyms, anthroponyms, names of the highest state institutions; metatheses that distort word structure, paronomasic addition, replacement or capitalizing of letters, "graphic transcription", etc. The article focuses on novel secondary designation units that express negative evaluation denoting countries, citizenship, individual nicknames. The paper argues that neologisms generated and used in Ukrainian Facebook reflect individual pragmatics of expressing contempt towards constituents the surrounding reality. The article highlights various structural modifications and "word play" involved in the formation of respective secondary designation units
Research on artificial intelligence technology in English teaching

Under the influence of AI technology, intelligent English education products continue to emerge. Through intelligent English education products, teachers can adjust the teaching mode, improve teaching efficiency and quality, and enhance students' comprehensive ability of English listening, speaking, reading and writing.
Efektivitas Pembelajaran Daring Mata Pelajaran Bahasa Jawa Kelas XI TLAS 2 Semester Gasal di SMK Negeri 1 Jepon

The Covid-19 pandemic has forced the learning system in shools to change drastically from face-to-face meetings to online learning. No exception State Vocational High School 1 Jepon also conducts online learning with various online applications including google classroom, google form, and YouTube. This study aims to analyze the effectiveness of online learning in Javanese language class XI TLAS 2 odd semester at State Vocational High School 1 Jepon. This research is a qualitative descriptive study. Data collection techniques used documentation and questionnaires containing the effectiveness of online learning in Javanese language class XI TLAS 2 odd semester at State Vocational High School 1 Jepon. The study population was all students of State Vocational High School 1 Jepon who were taught in Javanese subjects using online methods. The research sample was students in class XI TLAS 2 State Vocational High School 1 Jepon. The results showed that online learning was less effective and directly proportional to students’ lack of understanding in learning. Online learning in Javanese class XI TLAS 2 odd semester at State Vocational High School 1 Jepon is by using the google classroom application, google form, and YouTube and the learning model is by providing material, observing, then giving assignments by the teacher to students. The media used by students for online learning are gadgets (HP) and the obstacles faced by students in online learning are limited data quotas and slow internet networks.
Graph-Based Transductive Label Propagation Approach for Multi-label Classification

It is evident that conventional approaches for multi-label text classification are striving for several labeled instances in order to train classifier, and they are often unable to utilize unlabeled data. The demand of many applications is not only inclining toward automated set up wherein need for the manual assignment of multiple labels to each document will be removed but there is also more reliability in the label set allocation process. In an attempt, graph-based label propagation approach in multi-label setting for specifically text classification application is presented in this paper. The approach is scalable and mainly based on concept of transductive learning. It is holistic in the sense that it is having capacity to effectively utilize unlabeled data, extraction of relevant features from huge feature set, cope up with exponential growth in document collection, labels and exploration of correlativity among the labels for classification. Performance of the proposed system is demonstrated by means of comparison with standard systems on classical datasets involving multi-labeled data.
Incorporating Network Structure with Node Information for Semi-supervised Anomaly Detection on Attributed Graphs

Anomaly detection on attributed graphs has attracted lots of research attention recently. A great deal of existing work focuses on unsupervised anomaly detection. However, in practical applications, we can obtain some labeled instances by experts, and it remains unexplored how to utilize limited labeled instances for improving the accuracy of anomaly detection. In this paper, we propose a semi-supervised anomaly detection method by considering both structure anomalies and attribute anomalies. Firstly, based on graph convolutional networks (GCNs), we learn a hypersphere that encloses normal nodes and forces anomalous nodes to lie outside, we detect structure anomalies by calculating the distances between the node embeddings and the hypersphere center. Since the trained GCNs always fail to learn better representations for anomaly detection due to noise edges are mixed into neighborhood aggregation, we use deep neural networks (DNNs) to detect attribute anomalies. Besides, to make full use of the labeled data, we incorporate the semi-supervised learning into anomaly detection, which can propagate limited label information to a large number of unlabeled instances and learn accurate nodes embeddings. Extensive experiments on five real-world datasets validate the superiority of our method and the significance of each module.
Back to Basics: The Serials Acquisitions Elements

6In recent years, the serials community has focused its attention on vital topics such as pricing issues, electronic publications, copyright, and licensing agreements, to name a few. While these are critical concerns that need to be discussed, at times we have neglected the basic elements of serials management in continuing education programs. This workshop was designed for new librarians (serials or otherwise), vendors, and publishers who want to get up to speed on current serials acquisitions practice. The workshop also served as a refresher course for experienced librarians and library staff. James Mouw, the facilitator, introduced this workshop, noting the absence of serials librarianship course work in library school curricula. Three presenters offered an overview of current practice relating to processing orders, invoices, check-in, claiming, and subscription vendor/library relations. [Article copies available for a fee from The Haworth Document Delivery Service: 1-800-342-9678. E-mail address: getinfo@haworth.com]
Integrating Rich Utterance Features for Emotion Recognition in Multi-party Conversations

Emotion recognition in multi-party conversations is a challenging task in natural language processing as it requires modeling the conversational context, the speaker-specific information, and the interaction within a conversation. To this end, we propose a graph-based multi-task learning network to integrate these utterance features for emotion recognition in multi-party conversations. First, we represent each utterance and each speaker as a node in a graph. In particular, we use three types of edges to connect these nodes to incorporate rich utterance features. Finally, we exploit link prediction as an auxiliary task to enhance the emotional consistency of extracted speaker-specific features. To verify the effectiveness of our strategy, we conduct experiments on two multi-party conversation corpora. Experimental results demonstrate an improvement of 1–2% in F1-score over multiple baselines.
Experimental Demonstration of Polarization Entanglement from a Spatiotemporally Incoherent Source

Spontaneous parametric down conversion (SPDC)-based sources of photonic entangled states are usually generated using coherent pump fields. For temporal, spatial, and polarization degree of freedom, the down-converted light entanglement is limited by the coherence of the pump in the same degree of freedom. However, the effect of pump coherence on the entanglement in a different degree of freedom remains largely unexplored. Here we experimentally demonstrate the generation of polarization entanglement from SPDC pumped by a light emitting diode (LED), a spatiotemporally incoherent pump. The two-photon state is found to have a concurrence of 0.562 and purity of 0.647.
Deep Learning Application in Leukemia Diagnosis

Cancer is an aggressive disease with a low median survival rate. Technically, the cost of the treatment is high due to its high recurrence and mortality rates. Accurate and early diagnosis is needed to cure cancer. Even though, there is a lot of applications in the field of medical by using Artificial Intelligence. Artificial Intelligence (AI), especially machine learning and deep learning, has found as popular application in clinical cancer researches in recent years. The prediction of cancer cells has been reached new heights, as the technology is improved day-by-day and lots of devices are invented to detect and to cure cancer cells. Artificial Intelligence (AI)assist cancer diagnosis and prognosis, specifically with regards with unprecedented accuracy, which is even higher than that of general statistical applications in Oncology. There are different types of cancer cells and to destroy these cells, humans required certain technologies to locate and identify the type of cancer. It is very complicated to cure the cancer if it is not found in the early days. This article is about the LEUKEMIA (Blood cancer) and the technologies used for curing Leukemia. The opportunities and the challenges faced in the clinical implementation of Artificial Intelligence (AI).Machine Learningis used to save a life in advance by the early cancer diagnosis and prognosis in the present and in future too.
PENGADAAN TAMAN BACA UNTUK MENINGKATKAN SEMANGAT MEMBACA SISWA MI HIDAYATULLAH DESA PRINGU BULULAWANG KAB. MALANG

&#x0D; Literacy is defined as the capacity for reading and writing. Reading is an activity that entails comprehending texts in order to glean information from them. Reading can significantly increase kids' ability to develop conclusions from the information they absorb. By not reacting too fast, we can encourage pupils to think critically. Assisting pupils in expanding their knowledge through reading. Helping to increase students' knowledge by reading. Among elementary school students or students reading activities are still very lacking, especially in MI Hidayatullah Pringu Village, Bululawang District, Malang Regency, therefore we created a reading garden program with the aim of increasing the reading enthusiasm of students in MI Hidayatullah Pringu Village. The methods used in this research are surveys, consultation with school principals and implementation. Activities carried out by donating books, then cleaning the library followed by arranging and making a reading garden. After the program, according to the survey, the attendance of students who came to the library increased from before and after the reading garden.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
Contribution Analysis of Optimization Methods on Super-Resolution

In this study, the benefits of choosing a robust optimization function with super resolution are analyzed.For this purpose, the different optimizers are included in the simple Convolutional Neural Network (CNN) architecture SRNET, to reveal the performance of the each method.Findings of this research provides that Adam and Nadam optimizers are robust when compared to (Stochastic Gradient Descent) SGD, Adagrad, Adamax and RMSprop.After experimental simulations, we have achieved the 35.91 (dB)/0.9960and 35.97 (dB)/0.9961accuracy rates on Set5 images from Adam and Nadam optimizers, respectively (9-1-5 network structure and filter sizes 128 and 64).These results show that selected optimization function for the CNN model plays an important role in increasing the accuracy rate in the super-resolution problem. Optimizasyon Yöntemlerinin Süper Çözünürlük Üzerine Katkı Analizi
Developing students' critical thinking skills through culture-based instructional materials in EFL reading and writing courses

This study is aimed at investigating the culture-based instructional materials (C-BIM) to trigger students’ reading and writing skills viewed from critical thinking skills. This study is categorized as mixed-method using the explanatory sequential design. The data consist of quantitative and qualitative data. The instruments employ reading and writing tests, questionnaires, and interview sheets. The data of reading-writing achievement are computed using descriptive and inferential statistics. Thus, the data of students’ and teachers’ intercultural awareness and perception on culture-based materials are analyzed using qualitative steps that are analysis, reduction, coding, interpretation, and taking a conclusion. Based on the result of analysis, this study shows that the culture-based instructional materials have a significant effect on students’ reading and writing skills. This study offers implications and recommendations for further research and practice in marrying culture-based materials in reading and writing courses.
Recognition of Children’s Human Right through Children’s Day Commemorative Culture during the Japanese Colonial Period - Focusing on the 1920s -

The declaration and commemoration of Children’s Day, which began in 1922, promoted the development of a sectoral movement called the colonial youth movement and spread the idea and culture of protecting and respecting the human rights of children as the main actors of society. Children’s Day commemorative culture consisted of various activities and cultures such as distribution of various propaganda papers for adults and children, commemorative ceremonies, commemorative lectures, street parades, athletic meet, and speech contest. Children’s human rights were represented in the propaganda of Children’s Day as the right to survival and personal protection, financial protection and the right to prohibit child labor, the right to social protection and development, and the right to life, participation, and nationality. The four basic rights stipulated in the UN Convention on the Rights of the Child, the standard for the human rights of children shared by colonial Joseon and the world today —the right to live, protect, develop and participate—were also appearing in colonial Joseon’s awareness of children’s human rights in the 1920s. The 1924 Geneva Declaration stipulated the obligations of adult humanity toward children who were not protected by war and violence as the victorious countries reflected on the damage caused by the war after World War I. It was not centered on the rights of children and youth per se.<BR> However, the awareness of children’s human rights expressed in colonial Joseon’s Children’s Day propaganda in the 1920s advocated that children have the right to protection and development and specified their rights as subjects of social participation. It can be said that the right to participate in the colonial national problem worked in order not to be harmed by the application of colonial control and discrimination, while Japan’s child policy advocated protection and development. Unlike the Declaration of Children’s Rights in Europe, which was centered on the victorious countries of World War I, children’s rights in East Asian colonial Joseon were linked to the task of the liberation of the colonized people. In the 1920s, children’s human rights, represented by the establishment and commemoration of Children’s Day, were working together with modern universal respect for human rights and colonial specificity and historicity. It was a reflection of the colonial human rights reality, which was different from the Japanese colonialist child policy and secured children’s rights as a nation.
The Effect of University Student’s Perception of Rapport with Professors on Learning Participation and Satisfaction: Focused on Online Class in COVID-19

Purpose: The pandemic situation has caused a variety of changes in many areas. In the field of education, real communication of emotion with students has become an issue. The purpose of this study is to examine the causal effect of rapport between professors and students, learning participation and satisfaction in online class under COVID-19 pandemic situation. Method: In order to conduct the research, the online survey was performed for two years university students in Seoul, and three hypotheses were proposed to identify the relationships among three variables such as rapport, participation and learning satisfaction. A total of 207 questionnaires were used for analysis. SPSS 21.0 was used to conduct analysis for hypothesis verification, and the demographic information of the sample was organized by frequency analysis. Also, exploratory factor analysis and reliability analysis were conducted to confirm the validity and reliability of each concept measurement item. Lastly, regression analysis was used to examine them. Results: The results of analyses are follows. First, rapport influenced positively learning participation. Second, rapport influenced positively learning satisfaction. Third, learning participation influenced positively learning satisfaction. This result was found to be the same as that of previous studies about learning participation and learning satisfaction. Conclusion: ‘Although it is a study only for two-year college students in Seoul, it has been recognized that students participation in learning is a major leading variable in improving learning satisfaction. In this study, building rapport between professors and students is an important factor to improve the quality of online class. Hence, professors should focus on how to build rapport effectively and universities should provide practical supports and programs to develop their skills to improve rapport level. It can have a positive effect on students satisfaction with the university and their academic achievement in the long term.
SpaceX: The Unreal Reality

The project aims in designing a simulation which will be operated on Android and IOS mobile comprising of gyroscope.The interactive simulation of 'SpaceX: The unreal reality', is demonstrated in our smartphone using coordinative combination of computer game and augmented reality.Here within the project the VR Box 2 is employed to look at the simulation of computer game with Gaze Interaction and Virtual Buttons are to interact in Augmented Reality.Android and iOS is that the software stack for mobile devices that has an OS , middleware and key applications.Gyroscope present within the device is employed to detect the orientation that's to augment the objects in world and consider through virtually designed world.Additionally , Unity plays a key role in developing the appliance providing vast plugins to embed AR and VR technologies and also provide cross platform applicability.Augmented reality is that the mixture of video game with world , using computer generation layers to enable us an enhanced interaction with reality.This is generally done through applications, (for example, Pokemon GO), however can likewise be utilized for games, driving, and significantly more.Computer game , on the other hand, could also be a totally artificial, computer-generated simulation of a real-life experience.This typically required the use of a video game headset, like Oculus Rift or HTC Vive, so on to completely immerse the user.This project contains various user interaction by means of virtual buttons, gaze interaction and speech recognition The project eventually provides the Mixed Reality Simulation combining both AR and VR technologies and depicts the vision of Elon Musk's Mission of SpaceX to colonize Mars.
XAI: Challenges and Future

One of the biggest challenges the XAI field faces is formalizing, quantifying, measuring, and comparing different explanation techniques in a unified way. The evaluation of explanations is an interdisciplinary research covering broad areas of human-computer interaction, machine learning, psychology, cognitive science, and visualization, to name a few. This chapter first highlights some of the recent works in research to categorize and analyze the metrics in a common framework. Finally, we give some predictions on the future based on current trajectories, commercial and open-source trends, and innovations in the field.
A Security Integrated Attestation Scheme for Embedded Devices

With the development of the Internet of Things, embedded devices have become increasingly frequent in people's daily use. However, with the influx of a huge amount of heterogeneous embedded devices, its security has become an important issue. To face with such problems, remote attestation is undoubtedly a suitable security technology. Nevertheless, traditional remote attestation is limited to verifying the performance of devices as large and heterogeneous devices enter daily life. Therefore, this paper proposes a many-to-one swarm attestation and recovery scheme. Besides, the reputation mechanism and Merkel tree measurement method are introduced to reduce the attestation and recovery time of the scheme, and greatly reducing the energy consumption.
The intellectual potential of the individual in the context of digital transformation of the society

The digital transformation of society which is taking place in the modern world and is carried out at the global level, makes its own special requirements for the intellectual potential of the individual. The first attempt to take these requirements into account in the development strategy of the education system was made by the Russian scientists in 1996 at the II International UNESCO Congress "Education and Informatics", which took place in Moscow on the basis of the Lomonosov Moscow State University. Government delegations from more than 100 countries of the world participated in this Congress. Meanwhile, 50 of them presented their National reports on the problem: "Information technology and policy in the field of education". Russia also presented its report on this problem. It contained a new and rather radical proposal - to develop and implement a new general education course "Fundamentals of Informatics" at all levels of the education system. This project was supported by the participants of the Congress and was named "Informatics-2000". These are: "Social Informatics" and "Philosophical Foundations of Informatics". The author shows that this congress subsequently became the starting point for the development of research on the intellectual potential of the individual in the context of the digital transformation of society.
Prospects, Problems and the Role of Artistic Education in Ensuring Balanced Cultural Development

This paper is based on the results of our own sociological survey designed to investigate the situation with the cultural sphere in contemporary Russia from a gender perspective. We demonstrate that there is a gender imbalance in this field, predicated, in particular, on the pay gap between male and female workers, and argue that this contributes to the vicious circle of culture remaining dominated by female labour, and lagging behind other major spheres of life in Russian society as underfunded and non-prestigious. We then discuss the dangers of such a state of affairs for the country as a whole and argue that, alongside state policies and state investment in culture, it is art and artistic education that are crucial for improving the current situation. Furthermore, we argue that, contrary to standard perceptions, it is, in fact, culture that is vital for the country&apos;s future and spiritual survival, while all the other spheres of life and economy are defined by it and effectively function as its corollaries.