Reviewerly/exHarmony huggingface dataset:
ZK-PCPs from Leakage-Resilient Secret Sharing

Zero-Knowledge PCPs (ZK-PCPs; Kilian, Petrank, and Tardos, STOC `97) are PCPs with the additional zero-knowledge guarantee that the view of any (possibly malicious) verifier making a bounded number of queries to the proof can be efficiently simulated up to a small statistical distance. Similarly, ZK-PCPs of Proximity (ZK-PCPPs; Ishai and Weiss, TCC `14) are PCPPs in which the view of an adversarial verifier can be efficiently simulated with few queries to the input.Previous ZK-PCP constructions obtained an exponential gap between the query complexity q of the honest verifier, and the bound q^* on the queries of a malicious verifier (i.e., q = poly log (q^*)), but required either exponential-time simulation, or adaptive honest verification. This should be contrasted with standard PCPs, that can be verified non-adaptively (i.e., with a single round of queries to the proof). The problem of constructing such ZK-PCPs, even when q^* = q, has remained open since they were first introduced more than 2 decades ago. This question is also open for ZK-PCPPs, for which no construction with non-adaptive honest verification is known (not even with exponential-time simulation). We resolve this question by constructing the first ZK-PCPs and ZK-PCPPs which simultaneously achieve efficient zero-knowledge simulation and non-adaptive honest verification. Our schemes have a square-root query gap, namely q^*/q = O(√n) where n is the input length.Our constructions combine the technique (Ishai et al., STOC `07) with leakage-resilient secret sharing. Specifically, we use the MPC-in-the-head technique to construct a ZK-PCP variant over a large alphabet, then employ leakage-resilient secret sharing to design a new alphabet reduction for ZK-PCPs which preserves zero-knowledge.
Attentive Multiview Text Representation for Differential Diagnosis

We present a text representation approach that can combine different views (representations) of the same input through effective data fusion and attention strategies for ranking purposes.We apply our model to the problem of differential diagnosis, which aims to find the most probable diseases that match with clinical descriptions of patients, using data from the Undiagnosed Diseases Network.Our model outperforms several ranking approaches (including a commercially-supported system) by effectively prioritizing and combining representations obtained from traditional and recent text representation techniques.We elaborate on several aspects of our model and shed light on its improved performance.
METHODS OF DIRECTING ECONOMICS TO SCIENTIFIC RESEARCH ACTIVITIES

The article analyzes the current pedagogical conditions, factors, stages, components, methods of directing research activities in future economists. The article also examines the pedagogical-hierarchical system of forms of manifestation of research skills in future economists.
Performance Comparison of SSH Libraries

The business industry is evolving. Enterprises have begun a digital transformation path, adopting innovative technologies that enable them to move quickly and change how they cooperate, lowering costs and improving productivity. However, as a result of these technologies, the conventional perimeter has evaporated, and identification has become the new line of defense. New security concerns necessitate modern security measures. Passwords are no longer appropriate for authenticating privileged access to mission-critical assets. Passwords are notorious for being insecure, causing weariness, and giving the user a false sense of security. Enterprises must use password-less solutions, which is where SSH key-based authentication comes in. The Python language’s numerous applications are the consequence of a mixture of traits that offer this language advantage over others. Some of the advantages of programming with Python are as follows: To enable easy communication between Python and other systems, Python Package Index (PyPI) is used. The package consists of a variety of modules developed by third-party developers. It also has the benefit of being an Open Source and Community Development language, as well as having substantial Support Libraries. There are multiple SSH libraries in python and this paper focuses on each of their pros and cons as well as the time it has taken for each of them to perform.
ABOUT THE ESSENCE, FEATURES AND LEGITIMITY OF CRYPTOCURRENCIES

The article discusses the main technological and economic aspects of the functioning of cryptocurrencies. Based on the analysis of monetary theories and the evolution of forms of money, it is shown that the technologies of mining and circulation of cryptocurrencies fully meet the requirements for "monetary material" and the trend in the development of monetary systems. It is concluded that the development of the form of money under the influence of scientific and technological progress has not changed their economic essence. The pros and cons of cryptocurrencies are shown. The problem of the legitimacy of cryptocurrencies is analyzed taking into account the new federal legislation.
A modularized framework for explaining hierarchical attention networks on text classifiers

The last decade has witnessed the rise of a black box society where classification models that hide the logic of their internal decision processes are widely adopted due to their high accuracy.In this paper, we propose FEHAN, a modularized Framework for Explaining HiErarchical Attention Network trained to classify text data.Given a document, FEHAN extracts sentences most relevant to the assigned class.It then generates a set of similar sentences using a Markov chain text generator, and it replaces the salient sentences with the synthetic ones, resulting in a new set of semantically similar documents in the vicinity of a given instance.The generated documents are used to train an interpretable decision tree that identifies words explaining the reason for the classification outcome.A quick inspection of these synthetic documents and their salient words helps explain why the black-box has assigned a given class to a document.We performed a qualitative and quantitative evaluation of FEHAN and a baseline on four different datasets to show the effectiveness of our proposal.
Technology as a socio-historical phenomenon

The article reveals the authors' vision of the essence of the technology as a sociohistorical phenomenon. It is based on the idea that technology is not only a set of technical devices but a segment of the general system – a society – located between a social medium and its natural surroundings in the form of a peculiar social technosphere, which simultaneously separates and connects them. The main objective purpose of the technosphere is to promote the effective rendering of society-generated entropy outwards; it defines the features of the technosphere as a sociohistorical phenomenon. The analogues of such material formations take place also in wildlife (from the spider-web to the beaver dam) but are very few and arise from the implementation of instinctive programs of the species. In a person's consciousness, such programmes are not given by “nature”, they are formed on the basis of “desobjectivation” of technical objects available in society. In the process of “desobjectivation” the essence, the “logic of the subject” becomes the achievement of a person and due to his abilities is filled with new meaning. As a result, the technology is a materially ideal phenomenon: on the one hand, it is a set of technical objects and on the other hand – technical thinking of a person, the highest manifestation of which is technical sciences nowadays. Properly technical objects are created by society to meet the individual and social needs of a person. These are primarily consumption items; due to their manmade nature, the question of production means development arises, which over time becomes increasingly important, especially by virtue of their significant impact on social relations (which in time also require certain technical devices for their implementation). The complex of these devices forms the techno sphere of society as a compound integrity. Not only groups of different in application technical objects become the constituent parts of the technosphere, but also their conglomerates designed to perform certain functions, which, similar to the biological branch, were called techno enosis; in the latter at the account of a peculiar “competition”, the development of these components in particular and the technosphere integrally takes place. However, despite consistency, the technosphere is a subsystem of a society, therefore, there is no perspective of creating certain laws of its development and an appropriate coherent periodization. For this reason, the scientific periodization of the development of technology as such is connected with the purpose of the given research and is defined by it.
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation

Natural language generation (NLG) is an important task with various applications like neural machine translation (NMT) and image captioning. Since deep-learning-based methods have issues of exposure bias and loss inconsistency, reinforcement learning (RL) is widely adopted in NLG tasks recently. But most RL-based methods ignore the deviation ignorance issue, which means the model fails to understand the extent of token-level deviation well. It leads to semantic incorrectness and hampers the agent to perform well. To address the issue, we propose a technique called adaptive prior-dependent correction (APDC) to enhance RL. It leverages the distribution generated by computing the distances between the ground truth and all other words to correct the agent's stochastic policy. Additionally, some techniques on RL are explored to coordinate RL with APDC, which requires a reward estimation at every time step. We find that the RL-based NLG tasks are a special case in RL, where the state transition is deterministic and the afterstate value equals the Q-value at every time step. To utilize such prior knowledge, we estimate the advantage function with the difference of the Q-values which can be estimated by Monte Carlo rollouts. Experiments show that, on three tasks of NLG (NMT, image captioning, abstractive text summarization), our method consistently outperforms the state-of-the-art RL-based approaches on different frequently-used metrics.
MOOC: PLATFORMS OF PROFESSIONAL SELF-DEVELOPMENT OF PRIMARY SCHOOL TEACHERS OF ENGLISH

The processes of digital transformation of all the spheres of life activities in the modern society and implementation of emergency distance learning in the conditions of the Covid-19 pandemic cause new challenges in future teachers’ professional training. One of them is to develop skills to learn life long and conduct effective professional self-development. The purpose of the paper is to theoretically analyse the content and the structure of mass open online courses that can be used in the professional training of future primary school teachers of English, which contribute to developing their digital and methodological competences. For achieving the purpose set, we use a number of theoretical research methods (analysis, synthesis, comparison, generalisation, etc.). Based on the analysis of MOOC platforms, which are available at the national and international Internet market of educational services, it is found out that Coursera, Prometeus, EdEra are the most popular among educators. It is highlighted that all the courses, developed on MOOC platforms, have the similar structure that include such components: interactive video lectures, learning resources, online tests, forum for discussing different questions. It is noted that MOOC courses are getting commercialised and only some of them give an opportunity to participate in them as listeners without getting certificates. However, MOOC courses have a great potential for developing future teachers’ digital competence, communicative and collaborative skills by using information and communication technologies, improving some aspects of professional and methodological competence. It is proved that an optimal way of implementing MOOC courses in professional training of future primary school teachers’ professional training is to combine them with traditional distance learning within university LMS courses or with traditional methods and forms of offline learning.
PERANCANGAN APLIKASI MOBILE LEARNING BERBASIS ANDROID DI SMK NEGERI 6 PADANG

Mobile Learning was a learning approach that implicates the mobile devices like smartphone, PDA, tablet PC which the learner was able to access the material, instruction, and application that were relevant to the lesson without being constrained by space and time wherever or whenever they were. Mobile Learning was one of alternative for problem solving in education which comprises the problem of distribution access for education content, content quality, and others. Then, in order to strengthen the source of information for the user and minimized the cost toward the access of that education content. The new inovation for system of study that based on application in systematically and structured as the interactive media for student of learning process in SMK Negeri 6 Padang. This application could be the appropriate solution for learning in the school and minimize the incorrectness. The design of this system was implementationed by using language of program PHP 7.3.0 with MYSQL of database. In order to design this system involved Used Case Diagram, Activity Diagram, Context Diagram, Flowmap, Normalization, and Entity Relationship Diagram. This system was involved at least 3 users that are Administrator, Teacher, and Student. The registered users have right to access for the system by login with using username and password. This application was designed by using mini server Raspberry Pi 3 model B+ on the web server which based on Moodle, and platform android as the application for client.Keywords: Mobile Learning, Android, PHP, MYSQL, Moodle.
Perancangan Sistem Informasi Pembelajaran Algoritma dan Pemrograman Berbasis Web pada Program Studi Teknik Informatika STMIK ERESHA

This study aims to present web-based algorithm and programming materials in order to increase interest and motivation in studying in the informatics engineering study program, this learning system is made so that all who want to learn algorithms and programming easily get solutions from the material and videos that are available on the web page. And the existence of this web-based learning information system can provide material archive storage and exercises so that there is no more loss of material or exercise files. This application is created using the PHP and MySQL programming languages.
FEASIBILITY VERIFICATION OF VIRTUAL REFERENCE STATION TECHNOLOGY IN GEOLOGICAL HAZARD MONITORING

Abstract. The surveying and mapping administrative competent departments in 31 provinces (autonomous regions and municipalities) have built provincial-level satellite navigation and positioning reference stations and data centers, and provided CORS services. This provides a good condition for exploring the application of geological hazard monitoring and early warning using Virtual Reference Station (VRS) service based on CORS. At present, the layout mode of "one point one reference station" is usually adopted, when GNSS is used for geological disaster monitoring and early warning. However, the high deployment cost of this plan limits its largescale promotion and application. Using the existing CORS service resources of natural resource system, this paper carried out the application experiment of virtual reference station in geological hazard monitoring application at Huanglongya geological hazard monitoring site in Shaanxi Province, and assessed the virtual reference station data quality, comparative analyzed the precision of static baseline processing results and GNSS real-time deformation monitoring results. The experimental results show that the overall quality of virtual reference station data is better than that of the monitoring station, and the accuracy of the static baseline calculation results is better than 1.0cm in the X direction, and better than 2.0cm in the Y direction and Z direction, which is similar to the static baseline calculation results formed by the physical reference station. The accuracy of the baseline results of real-time observation data calculation is better than 5mm in horizontal RMS and 15mm in vertical RMS. Therefore, it can be seen that the virtual reference station is feasible to be used as the reference station for geological disaster monitoring. In addition, the application experiment of network RTK real-time dynamic single epoch positioning mode is also carried out in geological hazard monitoring. The experimental results show that the RMS values of all three directions are ±3.7mm, ±9.2mm and ±5.0mm respectively, which meet the precision requirements of GNSS disaster monitoring. Therefore, it is also a feasible scheme for geological disaster monitoring and early warning.
Improved Self-Adaptive ACS Algorithm to Determine the Optimal Number of Clusters

A fundamental problem in data clustering is how to determine the correct number of clusters. The k-adaptive medoid set ant colony optimization (ACO) clustering (METACOC-K) algorithm is superior in solving clustering problems. However, METACOC-K does not guarantee in finding the best number of clusters. It assumed the number of clusters based on an adaptive parameter strategy that lacks feedback learning. This has restrained the algorithm in producing compact clusters and the optimal number of clusters. In this paper, a self-adaptive ACO clustering (S-ACOC) algorithm is proposed to produce the optimal number of clusters by incorporating a self-adaptive parameter strategy. The S-ACOC algorithm is a centroid-based algorithm that automatically adjusts the number of clusters during the algorithm run. The selection of the number of clusters is based on a construction graph that reflects the influence of a pheromone in algorithm learning. Experiments were conducted on real-world datasets to evaluate the performance of the proposed algorithm. The external evaluation metrics (purity, F-measure, and entropy) were used to compare the results of the proposed algorithm with other swarm clustering algorithms, including a genetic algorithm (GA), particle swarm optimization (PSO), and METACOC-K. Results showed that S-ACOC provides higher purity (50%) and lower entropy (40%) than GA, PSO, and METACOC-K. Experiments were also performed on several predefined clusters, and results demonstrate that the S-ACOC algorithm is superior to GA, PSO, and METACOC-K. Based on the superior performance, S-ACOC can be used to solve clustering problems in various application domains.
The Role of Information Systems Capabilities in Enhancing the Organizational Performance

The literature supports that information systems improve the effective performance of any organization and gain a competitive advantage for their success in the business environment. Therefore, the scholars should do more studies that focus on how to enhance organizational performance to let corporations to sustain their competitive advantage. This study aims to empirically investigate the mediating role of competitive advantage with information systems capabilities and organizational performance among managers and department heads working in Jordanian industrial corporations. The study population consisted of all managers and department heads working in 20 Jordanian industrial corporations. The analysis of the data included the calculation of descriptive statistics as well as structural equation modeling, regression analysis, correlation analysis, and factor analysis. The study results showed that information systems capabilities, competitive advantage, and organizational performance were statistically significant. In addition, the result revealed that information system capabilities through competitive advantage influence organizational performance. The study model developed to provide the relationships of information systems capabilities through competitive advantage that can be used by Jordanian industrial corporations as evidence of a positive impact on organizational performance of managers and heads of departments in their corporations.
Penerapan Algoritma Cosine Similarity untuk Deteksi Kesamaan Konten pada Sistem Informasi Penelitian dan Pengabdian Kepada Masyarakat

Research and community service activities are the obligations of a lecturer that must be carried out from part of the Tri Dharma of Higher Education in addition to teaching, where research activities should have a level of innovation in the form of development or discovery of something new, but with a large number of lecturers, this results in research activities. and community service has many similarities with previous activities. At the Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM), Pamulang University, experiencing several problems in the management of research and community service activities, namely the absence of a system used to manage research and community service activities and data related to the track record of research and community service activities that have been carried out by 2,613 lecturers who impact on the difficulty in finding data, efficiency of storage space and more importantly is the number of similar proposals in the research itself. The research carried out aims to develop an information system that can process research and community service activities and detect similarities in content by applying the Cosine Similarity algorithm, so that it can overcome existing problems. The system development method uses a waterfall. From the results of making the system that has been carried out, it shows that the system is capable of processing activities in the field of research and community service carried out by lecturers, supporting storage, and facilitating screening of proposals for research and community service activities that will be approved.
Challenges and benefits of remote learning in context of competence development of engineering students during covid-19 pandemic

For almost a year now, due to the restrictions of the Covid-19 pandemic, engineering studies at all universities have been organized remotely.Challenges of remote studies, which are not usually relevant in the face-to-face learning environment, are now emerging.This leads to new learning experiences that open opportunities to develop the competencies needed by engineering professionals.This article analysis challenges and benefits of remote learning at three Baltics States universities with focus on influence to the development of personal, social and learning to learn competence.The theoretical basis of the research is formed by self-directed learning findings, focusing on students' purposefulness and responsibility for learning.The empirical part is based on a survey of engineering students from the Latvia University of Life Sciences and Technologies, the Vytautas Magnus University and the Estonian University of Life Sciences on the challenges and benefits of remote learning during the COVID-19 pandemic.The results show that almost a quarter of the respondents prefer remote studies, which are mainly based on the principles of self-directed learning.Main challenges in the context of personal competence are difficulty focusing or paying attention to remote studies, and also motivation/desire to complete assignments, in the context of social competencecommunication with the teacher but learning to learn competence -digital skills to use distance learning platforms and tools and also the problem of availability of information on remote studies.The main differences between the countries: Estonian students communicate much more with each other, Lithuanians have the best digital skills to use distance learning platforms and tools, but almost all Latvians and Estonians participated in online lectures.