Reviewerly/exHarmony huggingface dataset:
Psychological Features of Students’ Role Competence Formation

The aim of the research is to define a nd theoretically substantiate psychological content of the role competency by describing the features of the process of its formation in the student’s age. To achieve this goal, the theoretical research methods were used: the categorical method, structural and functional methods, the methods of the analysis of psychological literature, generalization. The results of the research proved that one should study the peculiarities of students’ role competence formation from the integrative approach. The personality’s role competence is found out to be complex cognitive-affective-behavioral characteristics of a personality identifying the students’ ability to perform a role according to the role expectations in order to achieve goals of educational activities. The structure of the proces s of students’ role competence formation is proved. The correlation between individual psychological characteristics and the ability to meet role expectations at the stage of professional development is defined. The basic directions of studying the students’ role competence are formed. Conclusions. The role competence is defined to be complex characteristics of student’s personality, which has certain structural and procedural peculiarities of formation. The procedural components reflecting the stages of formation are highlighted: motivational and notional, purposeful, regulative, the block of «reaction to failure», motivational and behavioral, cognitive and emotional factors of students’ role competence formation and proper competence. The prospects of further researches were defined on the basis of held analysis, consisting in further justification of correlation between role competence and other individual psychological characteristics of students’ personalities. They cause the success of education and solving the problem of developing effective methods for the professional diagnosis of the role competence of students.
PENERAPAN KONSEP FINITE STATE AUTOMATA DALAM PROSES PENDAFTARAN KELAS KURSUS BAHASA INGGRIS PADA TEMPAT KURSUS

Research on website-based test applications for digital course registration in order to make it easier for course institutions to determine classes that are consistent and effective and efficient. This research provides alternative solutions for course institutions for class selection or course program that is suitable for users who will study at the place of the course which is cost-effective and time-consuming too. In this study a course registration application is designed by integrating a website and database to retrieve data after the user has tested. It is intended that users who want to learn English can receive a choice of classes or programs in accordance with their abilities and initial knowledge. This minimizing test instructor errors in determining class and program choices that will be obtained by the user. In this study using the Finite State Automata (FSA) method to discuss the NFA type FSA model can be implemented in the registration process to the user (member) where the course is expected as needed and can better understand how the process of class or program selection is effective and right on target
BOOTSTRAP AGGREGATING MULTIVARIATE ADAPTIVE REGRESSION SPLINE FOR OBSERVATIONAL STUDIES IN DIABETES CASES

Background: Diabetes is a serious chronic disease that occurs either when the pancreas does not produce enough insulin, or when the body cannot effectively use the insulin it produces. Based on reports from the ministry of health, East Java Province has a Diabetes Melitus (DM) prevalence rate of 2.1%. This figure is greater than the prevalence rate in Indonesia, which is 1.5%. Materials and Methods: This study using Bootstrap Aggregating (Bagging) Multivariate Adaptive Regression Spline (MARS) method to analyze observational studies in diabetes cases. This study is aimed to analyze the factors that influence the complications type II diabetes and compare the level of accuracy between MARS and Bagging MARS.Results: The results showed that the probability of not occurring disease complications in patients is 0.708 and the occurrence of complications is 0.202. The variable that has the greatest influence is diabetes gymnastics. Type 2 DM patients with attending to diabetes gymnastics tend to not get disease complications as 1.857 times compared to patients with not attend to diabetes gymnastics. Conclusion: The accuracy of the classification between the MARS method and bagging MARS with 50, 100, 150, and 200 replications obtained the same results. This shows that bagging MARS cannot always improve accuracy.
Duplex Restricted Network With Guided Upsampling for the Semantic Segmentation of Remotely Sensed Images

Deep convolutional networks are of great significance for the automatic semantic annotation of remotely sensed images. Object position and semantic labeling are equally important in semantic segmentation tasks. However, the convolution and pooling operations of the convolutional network will affect the image resolution when extracting semantic information, which makes acquiring semantics and capturing positions contradictory. We design a duplex restricted network with guided upsampling. The detachable enhancement structure to separate opposing features on the same level. In this way, the network can adaptively choose how to trade-off classification and localization tasks. To optimize the detailed information obtained by encoding, a concentration-aware guided upsampling module is further introduced to replace the traditional upsampling operation for resolution restoration. We also add a content capture normalization module to enhance the features extracted in the encoding stage. Our approach uses fewer parameters and significantly outperforms previous results on two very high resolution (VHR) datasets: 84.81% (vs 82.42%) on the Potsdam dataset and 86.76% (vs 82.74%) on the Jiage dataset.
Phrase-verified voting: Verifiable low-tech remote boardroom voting

We present Phrase-Verified Voting, a voter-verifiable remote voting system easily assembled from commercial off-the-shelf software for small private elections. The system is transparent and enables each voter to verify that the tally includes their ballot selection without requiring any understanding of cryptography. This system is an example of making voter verification usable. The paper describes the system and an experience with it in fall 2020, to vote remotely in promotion committees in a university. Each voter fills out a form in the cloud with their selection V for each race and a two-word passphrase P. The system generates a verification prompt of the (V, P) pairs and a tally of the votes, organized to help visualize how the votes add up. After the polls close, each voter verifies that this table lists their (V, P) pair and that the tally is computed correctly. The system is especially appropriate for any small group making sensitive decisions. Because the system would not prevent a coercer from demanding that their victim use a specified passphrase, it is not designed for applications where such malfeasance would be likely or go undetected. Results from 43 voters show that the system performed effectively for its intended purpose, and introduced users to the concept of voter-verified elections. Compared to the commonly-used alternatives of paper ballots or voting by email, voters found the system easier to use, and that it provided greater privacy and outcome integrity.
Analysis of Validity and Reliability of Diagnostic Test of Picture Representation Ability in High School Physics Learning

The purpose of this research was to determine the feasibility of a diagnostic test of the picture representation ability of high school students in physics learning.This research was a developmental research of test instrument.Analysis of test instruments includes qualitative and quantitative analysis.Qualitative data analysis was data of content validation result by 7 raters with four scale rating.Quantitative data analysis was the result of the response of 256 high school students to the test instrument.The number of items tested was 36, divided into 2 test sets; set A and set B, where anchor items were 4. Analysis of content validity using Aiken V proved to be valid.Valid based empirically data because it matches the MNSQ INFIT value of the Rasch model.Based on the TIC and SEM charts, the diagnostic test instrument of picture representation ability was reliable if applied to students with moderate to very high category ability.Therefore, the diagnostic test instrument of picture representation ability developed is feasible to use.
Intent-based Networking for Connectivity and Cloud Services

Recent developments in networking and services technologies increased number of choices for users and complexity of networks and services.At the same time, there is substantial effort in the industry to enhance user experiences with services.The enhancement of user experiences is tightly coupled with mapping of user intents to services by shielding customers from the complexity and automating management processes involved in ordering and delivering services.The mapping is an iterative process.Its accuracy is expected to be improved as Service Providers gain experience with the process.Automating management processes in a management infrastructure with non-virtualized OSSs (Operating Support Systems) is lengthy and difficult.Virtualization and artificial intelligence/machine learning (AI/ML) techniques accelerate the automation greatly.The automation improves not only user experiences with services, but also the management of networks and applications by network administrators.This paper will describe user intents, a method for mapping user intents to connectivity and cloud services, and the design process, with examples.The concepts and methods described here are expected to be used by consumers and administrators of networks and applications forming services.The intents and their mappings can be expanded for each service by adding unique capabilities and attributes for connectivity and application options of a given service.
Τhe effect of foreign direct investment on economic growth in Ghana: the role of exchange rate volatility

The main objective of the study is to examine the effect of foreign direct investment inflows on economic growth in Ghana: the moderating role of exchange rate volatility.The study used Auto-Regressive Distributed Lags (ARDL) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH).The study was based mainly on secondary data from World Development Indicators (WDI) where annual time-series data of 39 years was used for the study ranging from 1980 to 2018.The study found that FDI had a positively significant impact on growth in the short run.Also, exchange rate volatility had a negatively significant impact on economic growth in the long run.However, domestic capital and trade openness had a positive significant impact on economic growth in the long run.The long-run estimate suggests that FDI decrease growth and exchange rate volatility dampen the negative effect of FDI on growth.The study, therefore, recommended, among other things, that the government should formulate policies that attract foreign direct investors into the country, as this may stabilize the economy.
STUDENTS’ CONSTRAINTS IN READING DESCRIPTIVE TEXT AT MTs USWATUN HASANAH

The aim of the research was to investigate the constraints and ability in Reading comprehension. This research was qualitative research. The subjects were 20 students of Class VII A of MTs Uswatun Hasanah, and they were divided into two groups based on their score. The students getting score above the standard score were grouped in group A; and those getting score under the standard score were in group B. To gain the data, the study employed the Reading test and as the instruments. The data were analyzed by using descriptive analysis. The finding revealed that there was only one student getting high score (above the standard score), while 19 students got low score (under the standard score). Furthermore, the Reading comprehension ability between the students of group A and B was not significantly different and their constraints were relatively similar.Keywords: constraints, descriptive text, reading comprehension
"Iron-Based Nanoparticles, an Accurate and Powerful Sniper Targeting SARS- Cov-2"

Outbreaks caused by infectious diseases represent atremendous challenge to humanity, with coronaviruses accounting...
Tutorial: Text Analytics for Simulation with Python

Text-based data analytics offers many opportunities related to simulation practice.This tutorial describes these with three primary examples: (1) using sentiment analysis to drive a simulation; (2) using social network analytics to structure a simulation; and, (3) developing model timelines using Twitter analysis.The tutorial includes all aspects of data analytics including data collection, cleaning, analysis and use---all specifically adapted to simulation practitioners.The tutorial uses a hands-on approach with Python in Jupyter notebook and Spyder environments and data sources as JSON, CSV, Twitter/social media, and web scraping/crawling.Other techniques such as setting up a cloud-based data collection platform are also described.The three examples use VADERsentiment, Pandas, word clouds, text analytics, topic modeling, social network analytics and other tools.Example code is provided during the tutorial.Those attending the tutorial will learn ways to enhance the human element in their models based on real-world data sources.
INNOVATIVE TEACHER EDUCATION THROUGH PERSONALISED LEARNING: DESIGNING TEACHING AND LEARNING SCENARIOS

The growing diversity of the student population twinned with a shift towards more learner-centred education provides the impetus to develop innovative teaching approaches.Imagined as personalised learning (PL), this approach argues for greater flexibility for the learner and more opportunities to include students' voice in the design and enactment of learning.This paper distils the learning from the members of the INTERPEARL project consortium including Lithuanian Universities Siauliai University (SU), Vytautas Magnus University (VMU), and Vilnius University (VU) together with their international partners University of Iceland (UI), and University College Cork, Ireland (UCC).The paper is based on the theoretical assumptions of social construction and takes mixed method approach to uncover the learning from implementing a personalised learning process to encourage greater learner agency and co-creation of learning.This paper will introduce the PL framework developed by the INTERPEARL consortium and two related concepts, namely Learning Scenarios and Learning Design.The learning from the implementation of the PL Framework in Iceland, Ireland, and Lithuanian is uncovered, with a methodology of self-study of teaching and teacher education practices (S-STEP), and student-teachers surveys providing a strong rationale for more PL approach.
The Use of ICT in Learning English: A Study of Students in Moroccan Universities

This study aims at investigating Moroccan university students' access to ICT tools and internet connection, their frequency and purposes of ICT use and their perceived benefits of ICT use in learning English. The data have been obtained by means of a quantitative study. Research findings indicated that access to ICT tools is still limited among the respondents. Access to internet connection within the respondents’ universities was also found to be inadequate. Furthermore, the study revealed that the respondents’ use of ICT for educational purposes is limited. On the other hand, students' perceptions towards the benefits of ICT use in learning English were found to be highly positive. The findings of this study were discussed and compared to the findings of other related studies.
STUDY ON SHADOW DETECTION FROM HIGH-RESOLUTION SATELLITE IMAGES USING COLOR MODEL

Shadow detection is an important process for applications like classification, change detection, image interpretation, object detection, and recognition. The existence of shadow in satellite images reduce the amount of information that can be extracted and accordingly makes these applications more difficult or even impossible. Different color space is used to detect shadows based on , , and  bands. This paper aims to represent an automatic approach for shadow detection from high-resolution satellite images. In this approach, a new index to highlight shadow areas based on  color model is developed. A comparative study is carried out between the proposed index with a different photometric invariant color model, including IHS, HSV, YIQ, and  models over the ratio and single-band images. Then, an automatic thresholding method is applied in images histogram. The accuracy of the obtained results is evaluated in terms of visual comparisons and shadow detection accuracy assessments. Experimental results show that the proposed ratio method provides the best results for shadow detection. On the other hand, shallow water is still misclassified as a shadow.
Socialization of the digital generation of student youth in the architectonics of higher education: theoretical and applied aspect

The article presents the results of a study on the process of socialization of the digital generation of student youth. Socio-cultural and online risks of life activities of students in conditions of global digitalization are described and ways of their minimization are outlined in the context of substantiation of the focused process of socialization of the digital generation of student youth at the university, based on the knowledge of the new situation of young people’s development, features of their Net-thinking and behavior. The leading ideas of socialization of the digital generation of student youth in the architectonics of higher education are justified (updating of the leading socialization at the university; improving the information competence of teachers; priority of mixed training; harmonization of real and virtual communication of educational entities; formation of information stress tolerance and viability of trainees). The target program “Digital Students: Features of Socialization and Security” is described in the logic of designing certain blocks (“Social knowledge based on the concepts of understanding changes taking place in the information society”, “Social communication in the information and real world”, “Subjectivity of student youth taking into account the challenges and risks of digital society”), implemented in stages (information adaptation, information integration, information activation.
Online Academic Resources With The Focus Of Eye Behaviors

The aim of this study is to investigate the eye movements of participants during academic searching tasks. Since the Web of Science, Google Scholar, and Council of Higher Education Thesis Center are among the popular academic search platforms in Turkey, we focused on the usability of them. During the preliminary analysis, we explored the most problematic tasks, and then analyzed the eye movements. The problematic tasks were detected with respect to the unexpected differences of completion duration; the failure of completion status; unexpected number of clicks; high number of fixations; high fixation duration; unrelated fixation areas; and think aloud data. Tobii Studio 3.4.2 was utilized for both the collection and analysis of eye-tracking data. 21 academicians participated to the study. The results of the analysis indicated that due to interface design, the eye movements of participants tended to focus on unrelated parts of the screen. As a result, certain parameters of eye tracking demonstrated how participants’ eye movements tended to generate intense fixations, increased amount spent for unrelated areas, intense mouse clicks, and increased total amount spent for tasks. In addition to those parameters, users’ satisfaction levels showed a decrease as a result of unexpected experiences.&nbsp;
BUSINESS MODEL INNOVATION IN THE DIGITAL ECONOMY: BLOCKCHAIN BASED COLLABORATIVE MODELS

The current paper focuses on blockchain technology as a novel actor shaping business models and leveraging another rising star of the global business, collaborative economy. The research aims to grasp the main intersection points between blockchain drivers and business model components. Therefore, to accomplish this objective, the paper identifies the main impact drivers of blockchain technology in relation to collaborative models as: cost reduction, risk reduction and disinter mediation. Secondly, we have turned our attention to the methods in which this new technology influences business model innovation. Furthermore, this paper presents the possible outcome scenarios taking into consideration four stages of business model innovation in relation to different degrees of blockchain adoption by organizations. The key findings of this study focus on the impact on value proposition, value creation, delivery and value capture, and the ways each scenario constitutes an opportunity or a threat to the focal firm
C-oral-Brasil project

In this paper we present different resources for the study of spoken Brazilian Portuguese, developed within the C-ORAL-BRASIL project. The C-ORAL-BRASIL stemmed from the European C-ORAL-ROM project (Cresti &amp; Moneglia, 2005), which has compiled spoken corpora of Italian, French, Spanish, and European Portuguese. The corpora of the C-ORAL family represent adequate tools for the analysis of spoken language, for they are provided not only with the transcripts of the recorded sessions (with prosodic breaks’ annotation), but also with their audio files and the text-to-speech alignment. So far, the C-ORAL-BRASIL project has published the C-ORAL-BRASIL I (Informal corpus: Raso &amp; Mello, 2012), while the C-ORAL-BRASIL II (to be published by 2019) comprises a Formal corpus (Natural context), a Media corpus, and a Telephonic corpus. Besides these resources, a set of informationally tagged comparable minicorpora (representative samples of the aforementioned corpora) are already available or in preparation, enabling (cross-linguistic) studies focussed on information structure.
Textbook Digitization: A Case Study of English Textbooks in China

The continuous promotion of e-teaching materials in the international education community prompted the Chinese government to incorporate the use of e-teaching materials in its educational system in 2010. This article introduces the different definitions of e-teaching materials in Chinese and international academia, analyzes the benefits and shortcomings of e-teaching materials by using the 2019 version of the English textbook for high school from The People&amp;rsquo;s Education Press. The study employs content analysis to provide an in-depth interpretation of how task setting in three textbooks reflects an inclination towards e-teaching materials from four aspects: listening, speaking, reading, and writing. Randomly selected units in three textbooks are used to discuss how digital elements contribute to the textbooks and to the emergence of the e-learning trend. Although China&amp;rsquo;s textbooks are not fully digitalized, a variety of teaching contexts, resources, and content connotations that appear in existing textbooks indicate that e-learning is now an essential element in Chinese English-learning textbooks.