Reviewerly/exHarmony huggingface dataset:
EFFECTIVE LEARNING: COMBINING DIGITALIZATION AND GAMIFICATION

Teaching practice and experience demonstrate that the process of instruction and learning becomes more and more challenging for lecturers, instructors, and curriculum designers. When students’ lives are centered around their devices, what would be the most effective way of increasing their engagement and motivation towards learning? The traditional approach of delivering knowledge is no longer compatible with existing challenges. This problem can be viewed as an opportunity. Hence, my objective is to develop new learning methods and techniques that are student-oriented, time-efficient, multi-functional and engaging. In the past year, I have started a project to construct an online workbook with elements of gamification and possibilities of individual learning tracking. This was possible by the grant of Vladimir Potanin fond https://www.fondpotanin.ru. The online workbook is to be part of an offline course and a blended learning tool. On the one hand, it organizes online materials, tests, curriculum, useful information, forum and news for students in one place. On the other hand, gamification elements may encounter challenges, such as increasing involvement in the learning process. To maintain student involvement and interest there are game tasks between classes. In addition to elements of gamification like levels, badges, points, rating table, motivational feedback, game mechanics, among others. The learning process is turned into a game for students, which result in interest, excitement, and competitive spirit that helps form high self-esteem. The learning process is also associated with positive emotions that stimulate motivation in preparation for a flipped classroom environment. It strengthens skills that promote teamwork as the mutual goal is to win the competition as teams in the online workbook. The traditional teaching approach transitions to student-centered learning and introduces a more accurate assessment of students' competencies. The online workbook will require hard work, the game feature makes it possible to feel successful. For shy students, who cannot fully reveal their abilities in class due to fear of defeat, the platform provides a space that they can reach any height of success. This also solves the problem with foreign students, who encounter language barriers, and may not always be active in offline classes. An online game allows them to study material at a convenient pace and monitor their results. The online workbook makes the assessment process transparent, comprehensible and provides constant feedback regarding their progress during training. Furthermore, the workbook will facilitate personal recommendations from the teacher and individual educational trajectory. At the end of the learning, the system generates a student portfolio reflecting achievements and the current level of development of skills.
TEAM-BASED LEARNING STRATEGY TO IMPROVE MASS SPECTRAL INTERPRETATION ON POST-GRADUATE STUDENTS

A. Arrizabalaga-Larrañaga, G. Campmajó, J.F. Ayala-Cabrera, R. Seró, F.J. Santos, E. Moyano, O. NúñezUniversity of Barcelona (SPAIN)
Sistem Pendukung Keputusan Kelayakan Penerimaan Nasabah Menggunakan Metode Profile Matching

Abstract—PT Sarana Sulteng Ventura is one company that aims to provide loan capital is micro, small, and medium enterprises (UMKM) as a venture partner timed short or long to be able to stand on its own with loan capital that fits with the kind of effort that it takes for the customer. In providing venture capital loans, the company has some terms and conditions that apply. and the company still cultivate customer data manually so that it takes quite a long time. Then with this author makes the eligibility decision support system which will facilitate customer acceptance staff employees of PT Sarana Sulteng Ventura to pre-screen customer deserves a loan business capital to client or small medium enterprises. The researchers used a system that is web -based systems using the programming language PHP and MySQL into its data base processing and sublime text 2 as editor of programming languages. This research used the method of profile matching process to perform the calculation of assessments to help give the eligibility decision of acceptance the customer at PT. Sarana Sulteng Ventura city of Palu.
A Mathematical Framework for Interconnected Systems Operating in a 1-D Network

A technique to compute the global state space matrices of an interconnected one dimensional (1-D) network from input-output data or simply from output data of local systems with non-accessible inputs is investigated. First, a Hankel matrix carried out on the data allows, via low-rank truncation, the computation of full state matrices from which the global state transition and observation matrices of the network are obtained and its control matrix is obtained via a least-squares of an observability Gramian onto the data. Next, the state matrices of the local systems are extracted from the global state matrices of the network. The proposed technique is tested on radar data collected on a canonical target over 1 GHz bandwidth and 12.75 degree aspect angles where data from each frequency over the range of viewing angles is considered as output from a local system. The technique provides full state matrices that mimic well the true data, global state matrices that provide the trends depicted in truth and the state interconnections that give the dynamics of the local systems.
Robles, Rodolfo - Biographical entry - Index to the AMA archive

Robles, Rodolfo - Biographical entry - 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
PROBLEMS OF COMPUTER SOFTWARE LOCALIZATION WITHIN THE FRAMEWORK OF TRAINING THE TRANSLATORS IN THE DOMAIN OF HIGH TECHNOLOGY

A. Znamerovscaia, I. Balabanova, A. AgeevaKazan (Volga region) Federal University (RUSSIAN FEDERATION)
RISK PERCEPTION IN DIGITAL SCIENCE COMMUNICATION OF THE SOCIAL SCIENCES AND THE HUMANITIES

In November 2019 the Federal Ministry of Education and Research in Germany published statements of principles for science communication that are supposed to promote the way scientists incorporate external communication activities in their research activities. Similar to that the Deutsche Forschungsgemeinschaft (DFG) defined knowledge transfer as a principle of their fundings. Altogether, milestones for the promotion of external communication in German scientific communities. Science communication seems to become less an option but more a necessity in academic life today.Central for the efficiency of such policies is the willingness and acceptance of the communicators to open up to external communication including modern, interactive ways of communication. Former theoretical approaches have already described the development from educational approaches in communication that is the deficit model and the public understanding of science to more democratic models like public participation of science or public engagement of science (Van der Auweraert 2004; Sturgis & Allum, 2004; Miller, 2001; Lewenstein, 2003). According to the higher complexity of scientific information, risks in communication with the lay publics increases which as a result demands more dialog oriented approaches (Van der Auweraert 2004). Despite the growing academic interest in digital science communication, little attempt has been made to provide a comprehensive understanding of risks and obstacles scientists experience in their external communication activities.The research reported here takes a forward-thinking qualitative approach, aiming to focus on the risk of digital communication from the perspective of the scientists in Germany. For exploring the topic, 30 semi-structural interviews among five different disciplines of the social sciences and the humanities were conducted. The data were analyzed with a summarizing content analysis that provides new insights into the way social scientists perceive risks in digital communication with their lay audiences (Mayring, 2002).
<i>Transforming Acquisitions and Collection Services: Perspectives on Collaboration Within and Across Libraries</i>. Edited by Michelle Flinchbaugh, Chuck Thomas, Rob Tench, Vicki Sipe, Robin Barnard Moskal, Lynda L. Aldana, and Erica A. Owusu. West Lafayette, IN: Purdue University Press, 2019. Pp. xiii+428. $49.99 (paper). ISBN 978-1557538451.

Previous articleNext article No AccessReviewsTransforming Acquisitions and Collection Services: Perspectives on Collaboration Within and Across Libraries. Edited by Michelle Flinchbaugh, Chuck Thomas, Rob Tench, Vicki Sipe, Robin Barnard Moskal, Lynda L. Aldana, and Erica A. Owusu. West Lafayette, IN: Purdue University Press, 2019. Pp. xiii+428. $49.99 (paper). ISBN 978-1557538451.Lindsay CronkLindsay CronkUniversity of Rochester Search for more articles by this author PDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinkedInRedditEmail SectionsMoreDetailsFiguresReferencesCited by The Library Quarterly Volume 90, Number 2April 2020 Article DOIhttps://doi.org/10.1086/707676 Views: 78Total views on this site For permission to reuse, please contact [email protected]PDF download Crossref reports no articles citing this article.
La protezione dei deboli e vulnerabili come giustificazione costituzionale del reato

The Italian Constitutional Court has recently held that the legitimate aim of protecting the weak and vulnerable justifies the prohibition of assisted suicide, and the offences of aiding or abetting and inciting prostitution. This essay shows that such a doctrine is an example of a strong paternalistic policy. Second, the Author argues that although sound, the legal reasoning of the Court is nevertheless questionable due to the incompatibility between one of its premises and article 3 of the Constitution (principle of equality). Specifically, the principle of equality should preclude the State from treating adults who are in a condition to take informed decisions as if they were not. Following this argument, the Author concludes that the incrimination of assisted suicide still lacks a constitutional justification as regards the cases where one has made an informed decision to commit suicide, albeit not severely ill, suffering, and on life support.
Role of Contrast Enhanced Mammography in Cases Presented with Primary Breast Edema

Background: Breast edema in inflammatory breast cancer can cause tremendous skin thickening and breast enlargement that attenuates both the x-ray and ultrasound beams because of the enlarged, dense breast tissue filled with fluid and tumor. Objective: was to evaluate the value of Contrast enhanced digital mammography in assessment of breast lesions in edematous breast. Patients & Methods: A prospective study conducted on 55 female patients presented with primary breast edema. Mammography followed by contrast mammography was done for all cases. Data were analyzed. Statistical tests were performed to check for sensitivity, specificity, accuracy and predictive values for both modalities. Results: Contrast-enhanced digital mammography was more sensitive and specific in the detection of lesions and better assessment of the local extent of the disease in cases with edematous breast changes. It was accurate in detection of multifocal/multi-centric disease, being a good positive test in delineation of masses obscured by condensed parenchymal tissue. The calculated sensitivity of digital mammography & Contrast enhanced digital mammography was 87.5 %, 95.8%, specificity was 55.5%, 88.8%. The PPV and NPV were 91, 97.9 % and 45%, 80 % respectively. Conclusion: Contrast enhanced digital mammography is a promising and affordable technique in the assessment of suspicious lesions in mammographically dense breast especially in primary edematous breast cases.
Teaching "intellectual property" in the institutions of higher education of construction profile as an important factor for the formation of new technical élite of Ukraine

Problem statement.The role of intellectual property in today's information society is strategically important for the formation of the intellectual élite of a country with a clear understanding of intellectual property rights as the main driving force of the global economy.The intellectual property is becoming increasingly decisive for the country's economic development and the world as a whole.Therefore, the problem of creating an effective system of awareness and education of the population in the field of intellectual property, which would contribute to the socioeconomic development of the country, becomes extremely urgent.In the modern higher education system, when intensive rethinking of the educational process is taking place, modernization of education, provision of intellectual property knowledge to students of technical specialties and direct acquisition of their intellectual property competences will facilitate the training of highly qualified and competent, in-demand professionals in labor market.Purpose.
Neural Steganalysis with Spatial Rich Models for Image Steganography Detection

Digital image steganalysis is the process of detecting if an image contains concealed data embedded within its pixel space inserted via a steganography algorithm. The detection of these images is highly motivated by Advanced Persistent Threat (APT) groups, such as APT37 Reaper, commonly utilizing these techniques to transmit malicious shellcode to perform further post-exploitation activity on a compromised host. Performing detection has become increasingly difficult due to modern steganography algorithms advancing at a greater rate than the steganalysis techniques designed to combat them. The task of detection is challenging due to modern steganography techniques that embed messages into images with only minor modifications to the original content which varies from image to image. In this paper, we pipeline Spatial Rich Models (SRM) feature extraction, Principal Component Analysis (PCA), and Deep Neural Networks (DNNs) to perform image steganalysis. Our proposed model, Neural Spatial Rich Models (NSRM) is an ensemble of DNN classifiers trained to detect 4 different state-of-the-art steganography algorithms at 5 different embedding rates, allowing for an end-to-end model which can be more easily deployed at scale. Additionally our results show our proposed model outperforms other current state-of-the-art neural network based image steganalysis techniques. Lastly, we provide an analysis of the current academic steganalysis benchmark dataset, BOSSBase, as well as performance of detection of steganography in various file formats with the hope of moving image steganalysis algorithms towards the point they can be utilized in actual industry applications.
ArcGIS&amp;lt;sup&amp;gt;TM&amp;lt;/sup&amp;gt; Proximity and Cluster Analysis of Electron Probe Micro-Maps of Round Top Critical Mineral Deposit

Critical and rare earth elements are in high demand for their increasing incorporation in modern technological devices for applications in the military, industrial, commercial, and consumer sectors.Round Top Mountain, a rhyolite laccolith in Sierra Blanca, west Texas, U.S.A. is a unique mineral deposit that offers opportunity for development of rare earth elements, especially the heavy rare earths, as well as associated critical elements.The main objective here is to evaluate the distances between accessory minerals of potential economic value (yttrofluorite, cryolite, uraninite, thorite, cassiterite, and columbite), and to major (potassium feldspar, albite, and quartz) and minor minerals (annite mica, magnetite, and zircon).In this study we explore the proximity and clustering of these minor and accessory minerals, at the micron-to-millimeter scale, from mineral maps constructed in a previous application of ArcGIS™ tools to electron probe microanalysis (EPMA) element maps.Our goal is to determine whether specific minerals cluster spatially and, if so, at what distances.We noted that the high-value target yttrofluorite grains often neighbor potassium feldspar and quartz grains, but less commonly magnetite and mica grains.With regard to cluster analysis, most minor and accessory minerals were found to group together at small scales (low micrometer) and were dispersed or random at larger (up to 1 mm) distances.
RELATIONSHIP OF ATTITUDES AND HABITS OF ENGINEERING STUDENTS WITH THEIR MATHEMATICAL THOUGHT

A.M. Soto-Hernandez, V. Reyes-Mendez, L.S. Vargas-Perez, S. Saldaña-GarciaTecnologico Nacional de Mexico (MEXICO)
CONSTRUCTION OF VIRTUAL LEARNING ENVIRONMENTS AS A TOOL FOR TEACHER TRAINING: AN EXPLORATORY STUDY

Information and Communication Technologies (ICT) allow educative process to be more extensive and go beyond the classroom so that, time and distance are no longer an obstacle. Moreover, technological resources provide teachers with more didactic possibilities in order to enrich their practices. These educational possibilities refer to different ICT potentials such as: hypermedia, multimedia, interactivity, formalism, among others (Coll, 2001) that affect the form, construction, representation and exchange of knowledge.Using one form of representation over another refers more than to a random decision. In the construction of a Virtual Learning Environment (VLE), the teacher builts theoretical interpretations, methodologies and conceptual relationships.Technological resources act as symbolic forms of thinking where experiences and knowledge are structured (Manovich, 1998). For instance, how to improve teacher´s training at Universidad Iberoamericana through the construction of a VLE?This paper reports a study developed in order to promote teacher´s training through the creation of a VLE. For that, we use a qualitative exploratory approach, in which 10 professors and 3 learning designer from the Universidad Iberoamericana participated.Data was collected using an evaluation tool, field diaries and semi-structured interviews. The results were analyzed from a social constructivism approach to identify the impact of the VLE´s construction on educational practices and ideas referring to evaluation, learning and teaching. Each of these categories can be evidenced through the choice of some activities and some resources over others. In addition, the comments of the professors in the process adhere to a social constructivism approach and tend to abandon traditional ideas about education.
Improvement of Grammatical Swarm

Grammatical Swarm (GS), which is one of the evolutionary computations, is designed to find the function or the program satisfying the design objective. The algorithm of GS has one difficulty. Since the design variables are defined in the real-valued numbers, the real-valued variables have to be rounded to the integer-valued ones. The aim of this study is to present the real-coded Grammatical Swarm (RGS) in order to solve the above problem. The real-coded GS (RGS) is compared with the traditional GS in the symbolic regression problem. The best parameters of both algorithms are determined and then, their results are compared. The results show that RGS can find a better solution than traditional GS.
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey

With widespread applications of artificial intelligence (AI), the capabilities of the perception, understanding, decision-making and control for autonomous systems have improved significantly in the past years. When autonomous systems consider the performance of accuracy and transferability, several AI methods, like adversarial learning, reinforcement learning (RL) and meta-learning, show their powerful performance. Here, we review the learning-based approaches in autonomous systems from the perspectives of accuracy and transferability. Accuracy means that a well-trained model shows good results during the testing phase, in which the testing set shares a same task or a data distribution with the training set. Transferability means that when a well-trained model is transferred to other testing domains, the accuracy is still good. Firstly, we introduce some basic concepts of transfer learning and then present some preliminaries of adversarial learning, RL and meta-learning. Secondly, we focus on reviewing the accuracy or transferability or both of them to show the advantages of adversarial learning, like generative adversarial networks (GANs), in typical computer vision tasks in autonomous systems, including image style transfer, image superresolution, image deblurring/dehazing/rain removal, semantic segmentation, depth estimation, pedestrian detection and person re-identification (re-ID). Then, we further review the performance of RL and meta-learning from the aspects of accuracy or transferability or both of them in autonomous systems, involving pedestrian tracking, robot navigation and robotic manipulation. Finally, we discuss several challenges and future topics for using adversarial learning, RL and meta-learning in autonomous systems.
SELF-REFLECTION OF SENIOR UNIVERSITY STUDENTS IN LANGUAGE STUDIES

Self-reflection in studies appears to be a mighty driving force of self-development, motivation and competence-enhancement for industrious and conscientious students.The authors of the studies conducted a research based on a questionnaire composed for the 4-th year graduating (bachelor degree) students of Moscow State Institute of International Affairs (University)with the purpose to distinguish the positive effects of students' self-reflection in foreign language studies as well as to identify the frequency with which they practice it.The subject of the research is a questionnaire database filled in by 47 senior students of MGIMO university concerning their self -reflection in various foreign languages studies and the benefit they get from this practice. The first limitation of this research is self -reflection of senior students only. The second limitation is that the research is based only on foreign language studies.The methods applied are: a questionnaire, content analysis, sampling and categorization.The findings of this survey imply that higher school senior students find self-reflection ultimately beneficial in the studies of foreign languages. It provides them with timely self-correction, self-discipline and competence enhancement.