Reviewerly/exHarmony huggingface dataset:
ICO Evaluation Websites Analysis

The evaluation websites of ICO (Initial coin offering) a way to raise funds for creating a new coin, app, or service launches, represent the main source where investors can find interesting information about their investments on one or more ICOs. In the last years many websites offered the possibility to evaluate ICOs. Among all, we chose 8 significant websites where rating, team, socials, platform, country and many other properties are shown for each ICO. These properties can be very helpful to figure out whether an ICO might be a good opportunity or a scam. Analyzing data found on ICOBench website using APIs, we found the same data for 7 other websites using the scraper. Then, we compared the gathered data in order to be able to define the quality of the evaluation websites regarding completeness and clarity of the shown information, finding several differences in rating parameters and ICO distribution. For this purpose we developed an ad-hoc scraping tool to collect in a common data structure the information shown in each website. Thanks to the data obtained with the tool we made interesting analysis, showing the differences between the ICO parameters of the different websites and defining completeness and clarity of the information.
Perfect edge state transfer on cubelike graphs

Perfect (quantum) state transfer has been proved to be an effective model for quantum information processing. In this paper, we give a characterization of cubelike graphs having perfect edge state transfer. By using a lifting technique, we show that every bent function, and some semi-bent functions as well, can produce some graphs having PEST. Some concrete constructions of such graphs are provided. Notably, using our method, one can obtain some classes of infinite graphs possessing PEST.
ANALYSIS OF TRENDS IN ICT AND ITS IMPLICATION IN HIGHER EDUCATION CURRICULA

Information and Communication Technologies (ICT) are currently undergoing a fast development. Analysis of this trend should be taken into consideration while creating or modifying curricula for students in higher education (HE). The adaptation of curricula has to correspond with the requirements of the labour market - ICT employers. The increase in interest in technologies is also visible in scientific articles.The aim of the paper is a systematic research analysis of the development of selected ICT technologies and taking results into account during the creation of the curricula for the undergraduate degree in Computer Science. Developing technologies were chosen for further study using trends analyses made by research and advisory companies, and the brainstorming method among ICT experts. The following emerging technologies/phenomena were selected: artificial intelligence, deep learning, machine learning, cloud computing, blockchain, chatbot, Internet of things, Internet of everything, intelligent interface, multiplatform, virtual reality, e-commerce, and DevOps.The research was conducted on two scientific databases: Web of Knowledge and Scopus. In each of them, the number of articles was searched in 2015-2019 by providing relevant keywords adapted to ICT areas. The obtained results are presented in this paper. They were used to change the Computer Science undergraduate curriculum by modifying the content of current courses and introducing new ones.
Plaintext Recovery Attacks against Linearly Decryptable Fully Homomorphic Encryption Schemes.

Abstract Homomorphic encryption primitives have the potential to be the main enabler of privacy preserving computation delegation to cloud environments. One of the strategies which has been explored to reduce their significant computational overhead with respect to cleartext computation is the one of the so-called noise-free homomorphic encryption schemes. In this work, we present an attack against fully homomorphic encryption primitives where a distinguisher for a single plaintext value exists. As our case studies, we employ two noise-free homomorphic encryption schemes where such a property holds, providing detailed attack procedure against them. We validate the effectiveness and performance of our attacks on prototype implementations of the said schemes, and suggest a countermeasure tailored to the schemes at hand.
EDUCATIONAL FAILURE OF STUDENTS AS A PROBLEM OF RUSSIAN UNIVERSITIES

G. ZborovskyUral Federal University named after the first President of Russia B.N. Yeltsin (RUSSIAN FEDERATION)
STYLISTICAL DEVICES IN TEACHING/LEARNING PROCESS

N. Maklakova1, E. Besedina2, S. Varlamov3, S. Ziatdinov4 1Kazan (Volga Region) Federal University (RUSSIAN FEDERATION) 2St. Petersburg Electrotechnical University (RUSSIAN FEDERATION) 3Kazan legal institute of the Ministry of Internal Affairs of the Russian Federation (RUSSIAN FEDERATION) 4Kazan State Institute of Culture (RUSSIAN FEDERATION)
Analytic Methods for Quality Control of Scientific Publications Part VII: Providing High-Quality Academic English—OnLine English

Correct grammar, coherent structure, fluent expression, and clear presentation are necessities for academic literature in the sciences and humanities.For scientific papers, these parameters are important to authors as well as to readers, especially for scientists who wish to understand the theory or to replicate the results.Today, most scientific and humanities journals are published in English.There are journals in Chinese, German, Hindi, Russian and other languages; however, for international use in science, business, and computer hardware and software, English is the dominant language.English is also used in diplomacy and for all kinds of international communications by people who have various other native languages.In this paper, we will present one of the leading international providers of high-quality academic English-OnLine English (OLE) and some of the functions of this service will be described.
E-LENDING: THE BENEFITS AND OPPORTUNITIES FOR LIBRARIES

E. Tsvetkova, I. Peteva, S. DenchevUniversity of Library Studies and Information Technologies (BULGARIA)
Literasi Ekonomi Guru: Kajian Berdasarkan Sosio-Demografi

The purpose of this study is to study and analyze the economic effects of high school teachers based on age, gender, and certification that can affect the level of economic literacy. The research method in this research is explanatory survey with hypothesis testing and data collection techniques through testing and questionnaires. The population of the study was 130 economic teachers consisting of 52 schools and a sample of 98 teachers consisting of 30 schools. The collected data is then analyzed using cross tabulation and multiple regression data analysis techniques. The results showed that the level of economic literacy in economics teachers was categorized high. It is known that age variables have the most influence on the economic literacy compared to other variables studied with a coefficient of 0.492. Then other variables that have an influence on the economic literacy are gender variables with a coefficient of 0.291 and sertification variables with a coefficient of 0.199. This finding implies that in order to improve the economic literacy, it is necessary to improve age, gender, and certification. Keywords : Economic literacy, Teachers .
LibGuides: Free E-Resources During the COVID-19 Pandemic: Campus resources

Many providers are temporarily making their services or content available for free in order to support distance learning.
Rethinking Online Action Detection in Untrimmed Videos: A Novel Online Evaluation Protocol

The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established, in the OAD setting we find very few works and no consensus on the evaluation protocols to be used. In this work we propose to rethink the OAD scenario, clearly defining the problem itself and the main characteristics that the models which are considered online must comply with. We also introduce a novel metric: the Instantaneous Accuracy ($IA$). This new metric exhibits an \emph{online} nature and solves most of the limitations of the previous metrics. We conduct a thorough experimental evaluation on 3 challenging datasets, where the performance of various baseline methods is compared to that of the state-of-the-art. Our results confirm the problems of the previous evaluation protocols, and suggest that an IA-based protocol is more adequate to the online scenario. The baselines models and a development kit with the novel evaluation protocol are publicly available: https://github.com/gramuah/ia.
School motivation through the use of information and communication technologies (ICT)

School motivation is a process that includes aspects of cognitive and affective type, related to the teaching-learning process, which involves the school trilogy (educators, students and parents) who participate dynamically and actively in academic development. This research was intended to demonstrate that teachers can motivate students in the teaching-learning process under the potential of Information and Communication Technologies to achieve the activation of cognitive resources, since currently, it can be counted with different applications that are very useful at the time of teaching, making use of innovation, leaving aside the traditionalism where the teacher was the protagonist and giving that role to the student, digital native. Finally, it is evident how the student, being motivated by his teacher, manages to pass the different barriers that may arise in the realization of the educational activities, being necessary that the educator is constantly motivating and giving merits to the students, even if he does not comply the established parameters, offering them new strategies so that they can fulfill the proposed activities.
Common-Knowledge Concept Recognition for SEVA

We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowledge graph construction, and question-answering. The problem is formulated as a token classification task similar to named entity extraction. With the help of a domain expert and text processing methods, we construct a dataset annotated at the word-level by carefully defining a labelling scheme to train a sequence model to recognize systems engineering concepts. We use a pre-trained language model and fine-tune it with the labeled dataset of concepts. In addition, we also create some essential datasets for information such as abbreviations and definitions from the systems engineering domain. Finally, we construct a simple knowledge graph using these extracted concepts along with some hyponym relations.
STIMULATING STUDENTS' CREATIVITY THROUGH LEARNING WORKSHOPS

In this paper we will present the results we obtained from conducting an investigation regarding the stimulation of creativity of the students in the primary cycle through learning workshops based on play and exploration. In our study we started from the idea that the didactic activity must be continuously adapted, so as to ensure to the child, from the earliest age, an environment conducive to the formation and development of skills, abilities, competences, an active, creative orientation, a enterprising spirit.The activities carried out in the curricular area Personal Development and Practical Skills can be designed in close relation with other activities that can contribute to the integral development of the students' personality. The task of the teacher is to know well the learning unit, its specificity and characteristics, the working techniques that can be used, the materials, the resources.In the learning workshops the students benefit from a learning environment prepared to follow their own individual learning paths, according to their needs. They organize and control their own learning process, playing an active role in their activity. This learning paradigm is based on constructivist principles: it offers space for different realities, perspectives, approaches and needs of the students. Education that offers independence, initiative and self-responsibility is particularly important. This is noteworthy, as the current conditions of society and work increasingly promote the development of key skills for students, such as: the competence to learn to learn; interpersonal skills and civic skills; a spirit of initiative and entrepreneurship; cultural awareness and artistic expression, intercultural competences, etc.
Deep Line Art Video Colorization with a Few References

Coloring line art images based on the colors of reference images is an important stage in animation production, which is time-consuming and tedious. In this paper, we propose a deep architecture to automatically color line art videos with the same color style as the given reference images. Our framework consists of a color transform network and a temporal constraint network. The color transform network takes the target line art images as well as the line art and color images of one or more reference images as input, and generates corresponding target color images. To cope with larger differences between the target line art image and reference color images, our architecture utilizes non-local similarity matching to determine the region correspondences between the target image and the reference images, which are used to transform the local color information from the references to the target. To ensure global color style consistency, we further incorporate Adaptive Instance Normalization (AdaIN) with the transformation parameters obtained from a style embedding vector that describes the global color style of the references, extracted by an embedder. The temporal constraint network takes the reference images and the target image together in chronological order, and learns the spatiotemporal features through 3D convolution to ensure the temporal consistency of the target image and the reference image. Our model can achieve even better coloring results by fine-tuning the parameters with only a small amount of samples when dealing with an animation of a new style. To evaluate our method, we build a line art coloring dataset. Experiments show that our method achieves the best performance on line art video coloring compared to the state-of-the-art methods and other baselines.
Probabilistic Counters for Privacy Preserving Data Aggregation

Probabilistic counters are well known tools often used for space-efficient set cardinality estimation. In this paper we investigate probabilistic counters from the perspective of preserving privacy. We use standard, rigid differential privacy notion. The intuition is that the probabilistic counters do not reveal too much information about individuals, but provide only general information about the population. Thus they can be used safely without violating privacy of individuals. It turned out however that providing a precise, formal analysis of privacy parameters of probabilistic counters is surprisingly difficult and needs advanced techniques and a very careful approach. We demonstrate also that probabilistic counters can be used as a privacy protecion mechanism without any extra randomization. That is, the inherit randomization from the protocol is sufficient for protecting privacy, even if the probabilistic counter is used many times. In particular we present a specific privacy-preserving data aggregation protocol based on a probabilistic counter. Our results can be used for example in performing distributed surveys.
BRISBANE - Place - Index to the AMA archive

BRISBANE - Place - Index to the AMA archive - NAME is a biographical, bibliographical and archival database of SUBJECT with links to related articles and images. ADD MORE DESCRIPTION AS REQUIRED
Topicality of “Methodological Problem” in the Modern Russian Philosophy of Science

The article examines the essence of the “methodological problem” as a phenomenon of public consciousness and an intra-scientific contradiction. The author analyses competing philosophical and scientific approaches to defining the notions “methodlogy of scientific cognition” and “methodology of scientific research”, justifies heuristic value of understanding methodology of scientific cognition as a type of rational-reflexive consciousness. Using methods of dialectical logic, the researcher reveals interrelations between three basic forms of methodological knowledge arrangement - paradigm, principle and approach.
The Rockers Function

In this note we introduce and study the rockers function $\lambda(n)$ on the natural numbers. We establish an asymptotic for the rockers function on the integers and exploit some applications. In particular we show that \begin{align}\lambda(n)\sim \frac{n^{n-{\frac{1}{2n}-\frac{1}{2}}}\sqrt{2\pi}}{e^{n+\Psi(n)-1}}\nonumber \end{align}where \begin{align}\Psi(n):=\int \limits_{1}^{n-1}\frac{\sum \limits_{1\leq j\leq t}\log (n-j)}{(t+1)^2}dt.\nonumber \end{align}
Travelling Salesperson Problem with Quantum Computing

Combinatorial optimization problems involve find-ing an optimal solution from a finite set of feasible solutions.Dynamic Programming attempts to solve a combinatorial prob-lem by performing an exhaustive search over the entire domain of the problem.In many such cases, this exhaustive search is not effective or tractable.Travelling salesperson problem is an important combinatorial optimization problem in which the salesperson is given N cities to travel with the condition that he has to travel each city exactly once and return to the origin.Among the finite set of feasible routes, the salesperson has to choose an optimal route with shortest total distance.The route can be optimal either by cost or by distance.The classical algorithm which attempts to find the shortest distance/cost to travel all the cities run in exponential time complexity.For small number of cities, the classical algorithm is effective and feasible but as the number of cities increase, the number of possible routes and the time required to compute them grows exponentially.However, addressing this problem by implementing quantum computing significantly reduces the time required to compute these routes.A quantum algorithm is required to run on a quantum computer to obtain meaningful results as quantum computers use Quantum Bits which differ from the bits used by a classical computer.
INNOVATIVE EDUCATION TECHNOLOGIES IN THE MODERN SOCIOCULTURAL ENVIRONMENT. PROJECT ACTIVITY

E. Krasilnikova1, A. Oganezova2, O. Koutsoni2 1Tver State Agricultural Academy (RUSSIAN FEDERATION) 2RUDN University (RUSSIAN FEDERATION)
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning

The task of Knowledge Graph Completion (KGC) aims to automatically infer the missing fact information in Knowledge Graph (KG). In this paper, we take a new perspective that aims to leverage rich user-item interaction data (user interaction data for short) for improving the KGC task. Our work is inspired by the observation that many KG entities correspond to online items in application systems. However, the two kinds of data sources have very different intrinsic characteristics, and it is likely to hurt the original performance using simple fusion strategy. To address this challenge, we propose a novel adversarial learning approach by leveraging user interaction data for the KGC task. Our generator is isolated from user interaction data, and serves to improve the performance of the discriminator. The discriminator takes the learned useful information from user interaction data as input, and gradually enhances the evaluation capacity in order to identify the fake samples generated by the generator. To discover implicit entity preference of users, we design an elaborate collaborative learning algorithms based on graph neural networks, which will be jointly optimized with the discriminator. Such an approach is effective to alleviate the issues about data heterogeneity and semantic complexity for the KGC task. Extensive experiments on three real-world datasets have demonstrated the effectiveness of our approach on the KGC task.
IMPACT OF THE COLLABORATIVE WALL IN THE EDUCATIONAL PROCESS ON THE SOCIAL SCIENCES

R.A. Salas-Rueda, G. De-la-Cruz-Martínez, C. Alvarado-Zamorano, F. Gamboa-RodríguezInstituto de Ciencias Aplicadas y Tecnología, Universidad Nacional Autónoma de México (MEXICO)
RESEARCH MOTIVATION: INERTIA VS. COMMON SENSE

Looking forward for life and vocational experiences is a natural component of youth motivation, especially when we mean university students. Still, the numerous and recently produced techniques are dominating the vision of students’ situation in modern Russian university, so provoking a reevaluation of common-sense expectations in the face of newly emerging inertia of administrative inertia, which is prone to produce innovative advantages within the university education. Our empirical survey that targets the students of the Ural Federal University (406 respondents, all forms of education) brings some raw facts to the surface of on-going structural and functional changes in modern Russian university. The whole bulk of meaningful details that guarantee students arrival to future civilizational achievements is absolutely ignored by existing formulas of innovation management in its application to university as a science producing place. People are still closer to science than the administration of science, which is dominating modern Russian university. However, the cultural phenomenon of university life has several resources that always give chance to new generations of students to be unpredictable and nevertheless successful. It is high time to move on a little bit further than inertial expectations that corelate educational, researching, and professional intentions of modern students. Moreover, a common-sense principle of studentship as a self-sufficient life period makes us to repeat some ugly truths about research motivation that speak up for the irrationalism and anarchism of genuine cognitive expectations, which is a romanticism axiom of human nature. Thus, not a modified management patterns called to seduce actual students to future science, but somewhat neo-traditionalist attitude of the professors to the existing dilemma of survival and prospective science staffing in the university points in the direction of viable solutions not for Russian universities only, still, mostly.
Research Guides: Librarian Resources for Supporting COVID-19 Remote Learning: Start

This is a hub for tools and tips to help librarians and public service staff provide remote support to faculty and students during the COVID-19 crisis.
“Eccezione” di aiuto al suicidio? Osservazioni critiche sulla sentenza n. 242/2019 della Corte costituzionale

By its judgment n. 242/2019 the Italian Constitutional Court declared the legitimacy of the medically assisted suicide request, justifying it on the same constitutional parameters that guarantee the right to renounce life support treatments. This essay confirms, from a bioethical perspective, the need to keep the two choices separated, bringing out both the difficulties due to profiles of equality between patients in similar conditions and the lack of palliative care in some Italian regions. Overall, the evident concern is a judgment which, for the purpose of access to assisted suicide, generalizes conditions taken by the “exceptional” case of Fabiano Antoniani.