Reviewerly/exHarmony huggingface dataset:
Making Cloud Service Selection Easy for SMEs: A Tool for Selecting SaaS Services

The selection and implementation of suitable cloud services that best fit customer requirements can be a complex, time-consuming and cost-intensive process, especially for small and medium-sized enterprises. In this paper, we propose a cloud brokering system that simplifies this process by implementing the (semi-)automated selection and recommendation of cloud services utilizing matchmaking and ranking technologies. The prototype includes the functionality to discover, rank and recommend cloud services from one or more decision components, which will allow consumers faster and easier selection guidance while considering individual sourcing preferences. Furthermore, the system provides interfaces for mutual interaction among other parties (e.g., cloud service providers, cloud integrators, etc.). The tool can be used to support in the selection and adoption phase of implementing cloud services and/or as part of a multicloud strategy.
Problems of the Use of Artistic Literature as a Means of Forming the World Outlook of Russian and Foreign Students of a Technical University

The problems associated with the use of fiction as a means of forming the worldview of students of a technical university are analyzed in this article. The place and role of fiction in the formation of the per-sonal value system are indicated, as well as the con-ditions for its use in work with Russian-speaking and foreign students are formulated. Based on the results of the study, the authors identify the prob-lems associated with the perception of this type of didactic material. They offer the most effective teaching technologies for the use of fiction in a technical university, indicate their advantages over other teaching aids and formulate specific recom-mendations for their use in the educational process. It is summarized that the low level of reading culture and the lack of formation of the skills of literary and artistic analysis of works among students of tech-nical universities reduce the level of assimilation of educational material, including causing difficulties in identifying axiologically significant information. Overcoming the emerging difficulties is facilitated by the use of multimedia presentations and tests, which make it possible to activate the educational and cognitive activity of students and create an emotional mood favorable for mastering the human-itarian content among students of technical univer-sities.
The Parameterized Complexity of Clustering Incomplete Data.

We study fundamental clustering problems for incomplete data. Specifically, given a set of incomplete d-dimensional vectors (representing rows of a matrix), the goal is to complete the missing vector entries in a way that admits a partitioning of the vectors into at most k clusters with radius or diameter at most r. We give tight characterizations of the parameterized complexity of these problems with respect to the parameters k, r, and the minimum number of rows and columns needed to cover all the missing entries. We show that the considered problems are fixed-parameter tractable when parameterized by the three parameters combined, and that dropping any of the three parameters results in parameterized intractability. A byproduct of our results is that, for the complete data setting, all problems under consideration are fixed-parameter tractable parameterized by k+r.
Automatic Computing Device Selection Scheme Between CPU and GPU for Enhancing the Computation Efficiency

Recently, cluster computer environments using multiple CPUs or multiple GPUs have been widely used to accelerate computation such as in the field of big data or artificial intelligence. In this paper, we propose an automatic computing device selection scheme between CPU and GPU by estimating the expected execution time based on trained deep learning model. Based on the experimental results, our scheme can select the computing device dynamically to reduce the execution time and maximize the computing efficiency.
A refined prior-box generator for anchor-based object detector

This paper proposes a refined prior-box generator for anchor-based object detectors, which allows detectors to be trained on a more balanced candidate set. Concretely, we present two schemes to alleviate the sample imbalance caused by prior-box mechanism. First, a more elaborated presupposed dimension calculation scheme is introduced to obtain more positive samples. Then, a location weighting mask originating from the edge map is constructed to guide the sampling of prior-box, which has the ability to avoid sampling in the background as much as possible. The widely used Feature Fusion Single Shot multi-box Detector (FSSD) is selected as baseline. Extensive experiments are conducted on the Pascal VOC (07+12) dataset and demonstrate that FSSD with the refined prior-box generator achieves 1.3% higher mean Average Precision (mAP) with 70% fewer prior candidate bounding boxes. Under the same input resolution, our method receives the best detection performance.
Representantes institucionais da Ciência da Informação no Brasil: um estudo com foco no seu perfil disciplinar

Institutional representatives of Information Science in Brazil are related to different areas of scientific knowledge and can characterize different backgrounds that, consequently, allow influences on the current profile of this science. It aims to analyze the academic degree/title of institutional representatives of Information Science in Brazil with a view to understanding the current disciplinary profile of the area, through a descriptive research, starting from a documentary analysis carried out in the web environment. It uses the documents that regulate the Postgraduate Programs in Information Science arranged in the Sucupira Platform of the Coordination for the Improvement of Higher Education Personnel, the Lattes Curricula of the National Council for Scientific and Technological Development and, also on Program websites as sources for data collection. It identifies a total of 36 institutional representatives of Information Science in Brazil. As a result, it points out the areas of Library Science, History, Archival, Computer Science and Administration, Communication and Sociology as more incidents about the area of training / qualification of representatives. It concludes that Information Science has appropriated in its origin and, currently, concepts, methods and techniques from other areas for the solution of problems that are pertinent to it, being, thus, a juxtaposition of knowledge, being characterized, in this research clipping, as a multidisciplinary science.
Image Generation from Small Datasets via Batch Statistics Adaptation

Thanks to the recent development of deep generative models, it is becoming possible to generate high-quality images with both fidelity and diversity. However, the training of such generative models requires a large dataset. To reduce the amount of data required, we propose a new method for transferring prior knowledge of the pre-trained generator, which is trained with a large dataset, to a small dataset in a different domain. Using such prior knowledge, the model can generate images leveraging some common sense that cannot be acquired from a small dataset. In this work, we propose a novel method focusing on the parameters for batch statistics, scale and shift, of the hidden layers in the generator. By training only these parameters in a supervised manner, we achieved stable training of the generator, and our method can generate higher quality images compared to previous methods without collapsing, even when the dataset is small (~100). Our results show that the diversity of the filters acquired in the pre-trained generator is important for the performance on the target domain. Our method makes it possible to add a new class or domain to a pre-trained generator without disturbing the performance on the original domain. Code is available at github.com/nogu-atsu/small-dataset-image-generation
Report on ICT in Education in the Republic of Bulgaria

Bulgaria is a country in the South-Eastern part of the European continent, on the Balkan Peninsula. The eastern part of the country borders is on the Black Sea. Bulgaria borders are with Romania to the north, with Turkey and Greece to the south and with Serbia and North Macedonia to the west. Bulgaria is a member of the European Union since 2007, a member of NATO since 2004 and a member of the Council of Europe since 1991.
Scalable Generation of Multi-Photon GHZ States

We demonstrate the scalable generation of multi-photon GHZ states. Using multiplexing with an all-optical quantum buffer, we show an exponential increase in generation rates of four- and six-photon GHZ states compared to standard schemes.
The Trends in the Development of Scientific and Educational Space in Modern Russia

The article considers the fundamental concept of «scientific and educational space» as the integration of two fundamental spheres – science and education, on the one hand, and the territorial space of our country, on the other. The article deals with the trends in the development of scientific and educational space and their interaction with the Russian urban environment and province. The problem of increasing the human and intellectual potential of the territory is studied. The positive aspects of integration relations between education, territories and the contradictions that arise when the main actors of the scientific and educational space interact are considered. In particular, the contradictions between the elite and egalitarian education, the concentration of elite education in large cities and the one-sided interaction between large cities as the centers of scientific and educational space and remote territories are revealed. Besides, the problems of the outflow of promising population and youth from rural areas from the province to large cities are discussed. It is concluded, due to the development of industry, the availability of jobs with high wages, preserving the existing potential of the educational institutions in the province make it possible to further develop scientific-educational spheres.
SHARING SCIENCE THROUGH FREE AND OPEN ELECTRONIC LABORATORY NOTEBOOKS – A GITHUB CASESTUDY

Electronic laboratory notebooks (ELN) are widely used in industry due to the many advantages offered including version-control, security and shareability. For over five years, through the Breaking Good Initiative (https://www.breakinggoodproject.com), we have been working with high school students and undergraduates across three continents and involving young people in a crowdsourced citizen science project where they make molecules that matter. One of the key challenges for the project has been finding a single appropriate platform that enables students to both share results and data, and talk to members of the open source community. For years we successfully used the open source LabTrove platform for research and crowdsourced projects (Badiola et al., 2014) and have used LabArchives for several years within our teaching and research at the University of Sydney. We now report our experiences using GitHub, a web-based platform originally developed for coders that enables version control (https://github.com). In this talk we will describe the use of GitHub as an open ELN and discussion platform that enables researchers, students and citizen scientists to collaborate in real time, and discuss how this platform can be used as a tool to enhance the learning experience for students in both formal and informal settings.REFERENCESBadiola, K.A., Bird, C., Brocklesby, W.S., Casson, J., Chapman, R.T., Coles, S.J., Cronshaw, J.R., Fisher, A., Grey, J.G., Gloria, D., Grossel, M.C., Hibbert, D.B., Knight, N., Mapp, L.K., Marazzi, L., Matthews, B., Milsted, A., Minns, R.S., Mueller, K.T., Murphey, K., Parkinson, T., Quinnell, R., Robinson, J.S., Robertson, M.N., Robins, M., Springate, E., Tizzard, G., Tood M.H., Williamson, A.E., Willoughby, C., Yang, E., & Yliojia, P.M. (2014). Experiences with a researcher-centric ELN. Chemical Science, 2015(6), 1614-1629.
Student Feedback for Globally Distributed Team Application Development

This Research Work-in-Progress Paper presents an evaluation of feedback gathered from a post-semester survey jointly taken by students in Ireland and the United States. The ability to function in international team-based environments becomes increasingly important and represents a desirable skill for employers of graduating students. Despite incentives, an international course offering in mobile application development resulted in only two cross-institutional teams by student choice, which we investigate here.We encountered that about half of the respondents considered dropping the course for at least one reason at one point, with one third identifying the course difficulty level as a reason, but also indicating agreement with the course being worthwhile. Some of the feedback presented indicates that students have a preference for project-based courses and like working in teams, but are also wary of the potential coordination overheads and dependability on their peers, despite modern communication tools as part of the class offering.
STUDENTS’ PERCEPTION ON THE USE OF VLOG IN FACILITATING STUDENTS’ SPEAKING SKILL IN SOLIHUDDIN SENIOR HIGH SCHOOL, THAILAND

This research aimed to find out students’ perceptions on the use of vlog in facilitating students’ speaking skill in Senior High School in Thailand. In conducting the research, the researcher used qualitative analysis. The researcher uses interview and questionnaire as research instrument. This research took students who understood technology in the Solihuddin School as the participants. Based on the data analysis, the result showed that the students’ perception on the use of vlog in facilitating students’ speaking skill is good. Students are more creative. They can create vlog in their speaking session. While creating vlog, students can study collaboratively. Students also can speak more confidently and fluently in practicing English speaking. Students are happy in creating a vlog because they are free to speak creatively and innovatively. Vlog can facilitate students in learning English speaking.
Secure Data Exchange in the Industrial Internet of Things Network of the Fuel and Energy Complex

The issues of data exchange security increasing in the Industrial Internet of Things network of the fuel and energy complex enterprises based on the use of the domestic cryptographic protocol CRISP 1.0 are considered. A model example of industrial network infrastructure is analyzed and a fuzzy gray cognitive map is constructed to analyze local relative cybersecurity risks in the event of an internal attacker without using and using CRISP 1.0 as a protective measure. Indicators of local relative risk decreased by 35%. The use of cognitive analysis in the task of assessing cybersecurity risks allows us to take into account the spread of opinions of experts, as well as the inaccuracy and incompleteness of the data collected during the audit on the state and properties of the information system. Cognitive models make it possible to formalize the mutual influence of system elements and the destabilizing effects of internal and external attackers exploiting vulnerabilities of software and hardware components, and are an important decision support tool in the process of qualitative and quantitative risk assessments.
Cardiovascular, oncological and rheumatological disease, its behavior in COVID-19 patients Prognostic factors, complications and treatment

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infection clinical course can present its own manifestations, but it can also exacerbate those of pre-existing diseases or cause manifestations that simulate said pathologies Cardiovascular, cancer or rheumatological diseases are examples of this These types of pathologies share risk factors for poor prognosis and death due to infection, the possibility of developing long-term complications, and they imply a challenge when establishing follow-up and treatment measures requiring multidisciplinary assessment Therefore, our objective was to raise the difficulties in the short and long-term follow-up of this type of patients and to evaluate how the pandemic affects their treatment The pandemic has changed the usual medical practice, promoting new forms of patient follow-up, such as telemedicine, imposing a hierarchy of the need for face-to-face care and procedures, forcing budget items to be reallocated to be able to deal with it, with consequences that are likely to it will have to be analyzed in the long term
Private Function Evaluation Using Intel’s SGX

Private Function Evaluation (PFE) is the problem of evaluating one party’s private data using a private function owned by another party. Several techniques were presented to tackle PFE by running universal circuits in secure multi-party computation and more recently by hiding the circuit’s topology and the gate’s functionalities. These solutions however, are not efficient enough for practical use; hence there remains a need for more efficient techniques. This work looks at utilizing the Intel Software Guard Extensions platform (SGX) to provide a more practical solution for PFE while the privacy of the data and the function are both kept protected. Our solution carefully avoids the pitfalls of side channel attacks on SGX. We present solutions for two different scenarios: the first is with the function’s owner having SGX enabled and the other is with a third party (other than data owner and function owner) having SGX. Our results show a clear expected advantage in term of time consumption for the first case over the second. Investigating the slowdown in the second case lead to the garbling time, which constitutes more than 60% of the consumed time. Both solutions clearly outperform Fairplay PF in our tests.
The Musical Interactivity Area - An Attempt to Map the Intersection Between Composition and Instrument Through the Use of the Gestrument Engine

This paper describes the use of the Gestrument Engine as a tool to develop a more articulated understanding of the interaction between user and digital instruments in musical creativity. Through th ...
CONCEPTUAL AND STRUCTURAL ESSENCE OF INTERCULTURAL COMPETENCE IN THE STUDENTS OF THE 'INFORMATION TECHNOLOGY' BRANCH AT THE UNIVERSITY ENVIRONMENT

The article describes the components of the formation of intercultural competence of students of the branch of 'Information Technology'. It is found that students' intercultural competence consists of three key components, namely conceptual-value, personal-motivational and activity-behavioral. It is revealed that the identified components of intercultural competence correspond to such professional and personal characteristics of future specialists in the of the branch of 'Information Technology', such as: social activity, readiness to interact with representatives of different ethnic groups, divergence of behavior, empathy, personal stability, communication. The following structural components of students' intercultural competence were also emphasized: knowledgeable (cognitive), affective-volitional (emotional, axiological) and prognostic activity (behavioral). It is revealed that the following indicators are indicators of intercultural competence: completeness of content and strength of knowledge, knowledge of the essence of intercultural competence, awareness of its importance. The essence of the concept of 'criterion' and the formation of intercultural competence, namely its main components: value-motivational, cognitive, operational-technological, reflexive and personal. Three levels of intercultural competence formation in IT students were identified and the structure of these levels in determining the degree of intercultural competence formation of IT students in the university's educational environment.
Citation Graph as an Instrument of the Research Methodology of Scientific Literature on Ontology of Enterprise Business Processes

The digitalization of enterprise's business processes is an integral part of the modern competitive policy of a commercial organization. The use of the results of qualitative and quantitative analyzes of existing scientific approaches in the field of identifying and developing ontologies that mediate the production of goods / services can positively affect the adoption of strategic decisions due to the reduction of time for review and research of the same ideas and methods. The article is devoted to the use of graph theory elements for the analysis of many conceptual schools and approaches to the ontology of business processes. The authors analyzed 216 scientific sources on this topic. As a result of the study, a citation graph was constructed that systematized the authors of the study area selected according to the methodology described above. This tool of the analysis methodology can be scaled and used by interested parties for a better analysis of the literature on the ontology of enterprise business processes.
The Development Of Society Businesses In Concrete Blocks Production With A Single Vibration System In The Pare Sub-District Kediri Regency

Development in the current development sector has grown rapidly, in this development we can see a good potential to be developed, namely the development of bricks with good quality compared to using red bricks which production takes a long time. Batako is an alternative that can be used in the construction of a building, because currently the price of red brick is quite high because the production cost is quite expensive. Besides, the price of firewood used for cooking red brick is getting difficult. Meanwhile, the demand for brick gradually increased because brick was one of the main components in building construction. So it needs to be developed in making brick blocks because the time is relatively short in the drying process. Therefore the community service team made a brick making machine with a vibration system for compaction and a faster production process in brick making using a machine that has been made, so that it can increase partner income, who previously produced 120 pieces with a manual system using a machine that could produce 500 pieces of brick per day.
Characterizing Datasets for Social Visual Question Answering, and the New TinySocial Dataset

Modern social intelligence includes the ability to watch videos and answer questions about social and theory-of-mind-related content, e.g., for a scene in Harry Potter, “Is the father really upset about the boys flying the car?” Social visual question answering (social VQA) is emerging as a valuable methodology for studying social reasoning in both humans (e.g., children with autism) and AI agents. However, this problem space spans enormous variations in both videos and questions. We discuss methods for creating and characterizing social VQA datasets, including 1) crowdsourcing versus in-house authoring, including sample comparisons of two new datasets that we created (TinySocial-Crowd and TinySocial-InHouse) and the previously existing Social-IQ dataset; 2) a new rubric for characterizing the difficulty and content of a given video; and 3) a new rubric for characterizing question types. We close by describing how having well-characterized social VQA datasets will enhance the explainability of AI agents and can also inform assessments and educational interventions for people.