Reviewerly/exHarmony huggingface dataset:
VISUALIZATION TECHNOLOGIES IN THE STUDY OF COMPUTER SCIENCE BY UNIVERSITY STUDENTS: IMPROVEMENT OF EDUCATIONAL SUCCESS

The rapid penetration of ICT into human life and the overload of information flows require modern education to adopt new technologies, change educational methods, present educational information, and introduce new educational technologies that would be effective in today's conditions. This article shows the relevance of the educational process visualization, characterizes visualization technologies as a tool to increase the success of learning, determines the essence of visualization in education, and gives a description of virtualization as one of the technological trends in the visualization of education. Due to the experimental study of the use of virtualization technologies of operating systems in the discipline Computer Science Fundamentals, it is concluded that their use leads to the increase in the success of student learning.
HUMAN-COMPUTER INTERACTION USING DYNAMIC HAND GESTURE RECOGNITION TO CONVENIENTLY CONTROL THE SYSTEM

The use of a physical controller such as a mouse, a keyboard for human computer interaction hinders the natural interface since the user and computer have a high barrier. Our aim is to create an application that controls some basic features of computers using hand gestures through an integrated webcam to resolve this issue. A Hand Gesture Recognition system detects gestures and translates them into specific actions to make our work easier. This can be pursued using OpenCV to capture the gestures which will be interfaced using Django, React.Js and Electron. An algorithm named YOLO is used to train the system accordingly. The gestures will get saved inside the DBMS. The main result expected is that the user will be able to control the basic functions of the system using his/her hand gestures and hence providing them utmost comfort.
Low Cost Solution for FFT (Fast Fourier Transform) Analyser

Vibration Analysis is a process of measuring the vibration signals (amplitude and frequency) of industrial machinery. Vibration signal information can be further used to determine the "health" of the machine, and its components. Vibration analysis is conducted using various sophisticated instruments (FFT analyzer) and its cost is too high, hence most of the time it is not affordable to monitor vibration continuously and analyze the health of the machine. This article proposes low cost system for analyzing vibration signature. Proposed system uses ARDUNIO and low cost accelerometer ADXL for collection of the vibration signal, collected signal is further converted into frequency domain using MATLAB script. Know vibration signal is generated using electromagnetic vibration exciter and ADXL sensor is mounted on vibratory platform and is connected to Arduino and it further records the acceleration signal. Recorded signal is further analyzed using FFT toolbox of MATLAB. It is observed that recorded signal FFT and standard FFT analyzer shows a close matching with each other.
Early warning signals before paroxysmal activity at Stromboli volcano, Italy

&amp;lt;p&amp;gt;Mt. Stromboli is an active volcano, located near the coasts of Sicily (Italy), in the Mediterranean Sea. Its volcanic activity is characterized by mild and frequent explosions, sometimes interrupted by occasional episodes of more vigorous activity, which can be accompanied by lava flows and more energetic eruptions, known as &amp;amp;#8220;major&amp;amp;#8221; or &amp;amp;#8220;paroxysmal&amp;amp;#8221; eruptions, according to the energy dissipated during the event.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Stromboli produced vulcanian eruptions in 2003, 2007 and July-August 2019, which were well recorded by the INGV monitoring network. In particular the last three events are studied through records from borehole strainmeters, which allow us to infer many details of source dynamics. These events are clearly preceded by a slow strain buildup, starting several minutes before the paroxysms, which can be used in future for civil protection purposes. The eruptions then consist of two or more pulses, with oscillations ranging from several seconds, as in 2007, to some minutes, such as in 2019 and lasting from several minutes to one hour after the explosions.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Mechanisms involved in the triggering process of the vulcanian explosions include an increase of magma flux ascending from sources located from 2 to 5-7 km depths and morphological complexity in the upper feeding system.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;A preliminary early-warning algorithm, based on an evaluation of strain rate change, has been defined: it has shown itself capable of ascertain the occurring eruptions minutes before their summit onset.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Valuable information are embedded in the data used in the current work, which could be used not only for scientific purposes but also from civil protection for monitoring reasons. Such a variety of possible usage needs the setting of principles and legal arrangements to be implemented in order to ensure that data will be properly and ethically managed and in turn can be used and accessed from the scientific community.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Particular care is needed in order to harmonize the different rules regarding use of data/information, to identify any potential legal issues related to Intellectual Property (IP) and to set up clear and consistent principles related to IP Rights.&amp;lt;/p&amp;gt;
AI-based Pandemic Trend Analysis

under Ensemble Learning were discussed few algorithms used in this research work includes Auto-Regressive Integrated Moving IJCRR
Predicting Gate Conflicts using NASA ATD-2 Fused Data Sources

The modern day National Airspace System (NAS) is powered by System Wide Information Management (SWIM) which is a real-time digital data sharing infrastructure that provides a high fidelity view of the lifecycle of a flight. The newly available data within the SWIM feeds can be leveraged to help drive efficiencies in the NAS. In this talk, we investigate the gate conflict prediction problem as a concrete use case which could help drive efficiencies. We begin with a high level description of NASA's Airspace Technology Demonstration 2 which is built upon the real-time SWIM feeds and produces the data used in our investigation. We model gate conflicts as a regression problem and describe the iterative process of model building, model validation, and evaluation used to assess the efficacy of our approach.
Design of Information System Buddhist Identity Card in Riau Province Using Java Programming Language

Buddhist Identity Card (KTUB) Is a proof of selfidentity of Buddhists issued by SAGIN based on SAGIN DPP Decree number: 002/DPPSAGIN/VI/2016 concerning the instructions for implementing the Visuddhi procedure and making of Buddhist Identity Card (KTUB).In the analysis of a new system that will be used as material to overcome problems is to build an application system that allows data collection can be controlled through a computerized system.Starting from the Login process to the Community Data Collection Process.Where the program will be built in accordance with the Form from the Great Sangha Indonesia (SAGIN) and integrated with the program in the MBI Secretariat in Riau Province.This makes it easier in the event of an error or correction of data which is a major factor in KTUB.Computer-based information system that is used in order to produce data quickly and accurately using Java applications and simplifies the data collection process of the KTUB form by using a computerized system.
Research on political text metaphor translation system based on web data mining technology

In order to improve the translation effect of political text metaphors, based on Web data mining technology, this paper constructs a political text metaphor translation system based on Web data mining technology. Aiming at the two shortcomings of the selection of the initial center point of the K-Means algorithm and the isolated points, this paper gives a solution to the ICKM algorithm that combines the density parameter and the coordinate rotation algorithm. The algorithm uses the object with the largest density parameter as the first center point, and uses the KCR algorithm to find the next center point, which avoids the influence of isolated points on the data sample to a certain extent. The constructed political text metaphor translation system based on Web data mining technology needs to accurately translate political texts and also needs to meet the requirements of metaphor translation. Finally, this paper designs experiments to verify the system performance. The research results show that the system constructed in this paper can meet the needs of political text metaphor translation.
PDB48 Increased Mortality of COVID-19 in Patients with Diabetes: A Retrospective Cohort Study in a Health PLAN in Brazil

By January 6, 2021, 7,812,007 cases and 197,777 deaths in total have been confirmed in Brazil, suggesting that the overall death rate of COVID-19 was 2.6%. Diabetes is the most common comorbidities in adult patients infected with Severe Acute Syndrome Coronavirus 2 (SARS-CoV-2) and has been associated with increased mortality. This study analyzed the mortality of hospitalized COVID-19 patients with diabetes.
Technological devices for developing the oral communicative competence in the English language

Background: The use of technologies for developing the oral communicative competence in the English language constitutes an effective tool for the communicative exchange among people supported by the benefits of using the technological devices in the foreign languages students’ initial training process. Objective: To implement didactic procedures for the development of the oral communicative competence in the English language through the efficient use of technological devices. Methodology: A pre-experiment was applied from September 2018 to July 2019 in Foreign Languages Major from Jose Marti University. The sample was composed of 18 students from first year class. Six professors participated in the research process, who taught Integrated English Practice I and II subjects. Results: The initial diagnosis confirmed the low level of the proposed indicators and an insufficient integration of the technological devices for the development of the oral communicative competence in the English language. The implemented didactic procedures were effective; the results were corroborated in the final stage of the research process. Conclusions: The integration of the technological devices on Integrated English Practice I and II courses contributed to the efficient development of the oral communicative competence in the English language.
Intelligent Web Advertisement Based on Eye-Tracking and Machine Learning

Building and maintaining brand loyalty is a vital issue for market research departments. ‎Various means, including online advertising, helps with promoting loyalty to the brand amongst users. The present paper studies intelligent web advertisements with an ‎eye-tracking technique that calculates users’ eye movements, ‎gaze ‎points, and heat maps. This ‎paper ‎examines different ‎features of an online ad and their combinations, such as underlining words and personalization by eye-tracking. These characteristics include underlining, changing color, number of words, personalizing, inserting a related photograph, and changing the size and location of the advertisement on a website. They help advertisers to improve their ability to manage the ads by increasing users' attention. Moreover, the current research argues the impact of gender on users' visual behavior for advertising features in different Cognitive Demand (CD) levels of tasks while avoiding interruption of users’ cognitive processes with eye-tracking techniques. Also, it provides users the most relevant advertisement compatible with CD level of a task by Support Vector Machine (SVM) algorithm with high accuracy. This paper consists of two experiments that one of them has two phases. In the first and second experiments, a news website alongside an advertisement and an advertising website is shown to the users. The results of the first experiment revealed that personalizing and underlining the words of the ad grabs more attention from users in a low CD task. Furthermore, darkening the background promotes users' frequency of attention in a high CD task. By analyzing the impact of gender on users' visual behavior, males are attracted to the advertisement with red-colored words sooner than females during the high CD task. Females pay more prolonged and more frequent attention to the ads with red-colored words and larger sizes in the low CD task. The second experiment shows that the gazing start point of users with a right to left mother tongue language direction is mainly in the middle of the advertising website.
A Proposed EFL Electronic Program Based on a Ubiquitous Learning Environment for Developing Secondary Stage Students’ Listening Skills

The purpose of this study was to examine the effect of using a proposed EFL electronic program based on ubiquitous learning environment to improve students’ listening. The participants of the study consisted of sixty (60) female students enrolled in the second year secondary stage; of  Desouk AL-Azhar Institute for Girls in Kafer El-Sheikh. The study adopted the quasi-experimental research design. So, there were two groups: an experimental group (N=30) and a control one (N=30).To collect the data, the researcher used multiple instruments: a listening sub-skills checklist, a computer and internet skills questionnaire to choose the sample, and a pre post test of listening. The researcher taught both groups: the experimental group was taught through the proposed EFL electronic program based on ubiquitous learning environment designed by the researcher while the control group was taught through the traditional way of teaching. The results revealed that the proposed EFL electronic program based on a ubiquitous learning environment (ULE) had a positive effect on the development the students’ listening skills. This was proved through the higher mean scores that the experimental group obtained in the post- listening skills test. The effect size of the proposed EFL electronic was found to be high. The study recommends using the ubiquitous learning environment (ULE) as a technique in teaching EFL skills.
Regression Modeling Via T-Lasso Bayesian Method

Choosing the optimal model is one of the important issues in regression models. The purpose of optimal model selection methods in regression models is to determine important explanatory variables and negligible variables and to express the relationship between response variable and explanatory variables more simply. Due to the limitations of classical variable selection processes such as stepwise selection, penalized regression methods can be used. One of the penalized regression models is Lasso regression in which the errors are assumed to follow a normal distribution. For statistical analysis of the data set in the presence of outlier observations, the student’s t distribution for error can be used and robust estimators can be provided. In this article, a variable selection method called Bayesian T-Lasso regression model is proposed based on Lasso Bayesian regression model in the presence of outlier observations in the data. The Bayesian T-Lasso regression model is presented with two different representations of the Laplace density function for the regression model coefficients, At the first the Laplace density function is represented as a scale mixture of normal distribution and then a scale mixture of uniform distribution. We demonstrate the utility of our Bayesian T-Lasso regression using simulation methods and real data analysis.
Quantitative texture analysis of alluvial gold: primary and secondary signatures

&amp;lt;p&amp;gt;The origin of gold nuggets (Au&amp;amp;#8208;Ag alloys) is not completely understood. They crop out in placer deposits, potentially derived from a primary source (hydrothermal/magmatic). Meteorization, erosion and transport of primary gold deposits result in the liberation of a variety of particle size. Recent investigations suggest that both primary and secondary microstructural features may be preserved and could be related to deformation during transport, recrystallization and primary formation. Besides, the contribution of biological mechanisms (biomineralization) may have played an important role during secondary growth in some nuggets. In many cases, there is no clear evidence to distinguish between supergenic and hypogenic gold, so texture information could be excellent information to constrain the origin. Besides, it has been demonstrated that crystallography controls the de&amp;amp;#8208;alloying processes in gold nuggets. This mechanism, that transforms the primary Au&amp;amp;#8211;Ag alloys into pure gold by preferential dissolution of Ag along crystal boundaries, could be determined by variations on texture, a factor never explored before, which may explain the dispersion in de&amp;amp;#8208;alloying values in the same deposit.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this case we have explored a selection of gold nuggets collected in the W sector of the Iberian Massif (Spain), representing the principal morphological types. As a non-destructive technique neutron diffraction appears as the technique of choice in this case. Beside, neutrons absorption is very low so that large samples could be investigated. Samples were analyzed in transmission at ILL (Grenoble) for texture. Quantitative texture and gold crystallinity was calculated using Rietveld method as implemented in Maud software (EWIMV). Mono- and polycrystalline nuggets and alloy composition were clearly identified in each particle with this technique.&amp;amp;#160;Our results show a close correlation between the morphology (i.e. transport length) of the particle and the crystallographic results, particularly for fibrous and discoid shapes (i.e. Zingg, Corey shape factor), what could be used to develop better transport models (distance-to-bedrock sources) and understand multisource gold placer assemblages.&amp;amp;#160;&amp;lt;/p&amp;gt;
Cohen’s Kappa Agreement among Multiple Raters in Determining Factors that Influence MTUN Academics on Data Sharing

Data sharing has become prominent nowadays. On the other hand, the universities produce a vast amount of data but most of these data are kept in a silo, not available, and confidential. This study will investigate the factor that influences Malaysian Technical University Network (MTUN) academics on data sharing. The questionnaire was constructed by adapting the questionnaire from the previous study. There are four (4) constructs that determine data sharing; technological, organizational, environmental, and individual. There are five (5) experts have been appointed to validate the questionnaire. The validation is needed as the questionnaire adapted needs to undergo some amendment to suit the research domain. Once the experts have given their opinion regarding the item’s relevance to measuring the constructs, then the calculation of Cohen’s Kappa interrater index is conducted. Cohen’s Kappa interrater index is used to measure the consensus of all experts on the respective items. This paper will explain in detail how the Cohen’s Kappa interrater index is conducted and how the relevancy of the items can be measured and achieved. Only when the interrater index is achieved, then it can be assumed that the questionnaire has been validated by the experts and ready to be distributed to MTUN academics for pilot study purposes.
Research on Vocal Music Teaching Mode of Preschool Education Major Based on Information Teaching Method

As a compulsory course for preschool education majors, vocal music teaching is not only the learning basis of other courses, but also an auxiliary tool for future teaching work. The development of information technology provides students with a more comprehensive opportunity to learn vocal music knowledge. We should find appropriate ways to reform the current vocal music teaching methods through constant attempts. Therefore, it is necessary to carry out vocal music education scientifically and effectively in preschool education, which can effectively improve students' artistic ability, and the application of information technology can make this goal better realized, meet the teaching needs better, and promote the development of vocal music education in preschool education.
A Metric for Linear Symmetry-Based Disentanglement.

The definition of Linear Symmetry-Based Disentanglement (LSBD) proposed by (Higgins et al., 2018) outlines the properties that should characterize a disentangled representation that captures the symmetries of data. However, it is not clear how to measure the degree to which a data representation fulfills these properties. We propose a metric for the evaluation of the level of LSBD that a data representation achieves. We provide a practical method to evaluate this metric and use it to evaluate the disentanglement of the data representations obtained for three datasets with underlying $SO(2)$ symmetries.
EFFECTIVENESS OF INTERACTIVE DIGITAL MODULE ON ENERGY IN THE LIVING SYSTEM TO IMPROVE STUDENTS LEARNING OUTCOMES

This research aims to describe the effectiveness of the interactive digital module on energy in the living system using iSpring Suite 8. The method used in the study was one group pretest-posttest design with 29 students in SMPN 1 Sidoarjo. The effectiveness of the interactive digital module was obtained from the result of student learning outcomes test. The result of student learning outcomes test there was an increase of gain score between pretest and posttest is 0,67 with medium criteria. Concluded that the interactive digital module on energy in the living system is effective for improving learning outcomes. Keywords: interactive digital module, effectiveness, learning outcomes.
LibGuides: Digtial Citizenship for High School: Digital Citizenship Homepage

This Libguide offers information and resources for high school students including appropriate, responsible technology use. Helpful articles, databases, suggested reading, and lesson plans are included for students, parents, and teachers. Home
The Three A’s of Wearable and Ubiquitous Computing: Activity, Affect, and Attention

SPECIALTY GRAND CHALLENGE article Front. Comput. Sci., 09 June 2021 | https://doi.org/10.3389/fcomp.2021.691622
FastGAPP – A MATLABBased Program Supports Earth Scientists Interpreting Geochemical, Petrological and Sedimentological Data

FastGAPP (Fast Geoscientific Analyses Plotting Program) is a MATLAB-based graphical user interface. It is developed to quickly explore and interpret geochemical major and trace element analyses of igneous rocks in over 100 published classification and discrimination plots, variation diagrams and normalised rare-earth element and multi-elements plots. All plots can be modified (fonts, lines, frame etc.) to produce publication-ready and high-quality raster or vector graphics. Among geochemical analyses of magmatic rocks, several other sub-programs are integrated to display petrographic analyses of igneous rocks, composition and grain size analyses of sedimentary rocks, and grain size analyses of soils. FastGAPP also provides several tools to support data handling, to extend the integrated geochemical databases and/or even create new sub-programs for different fields of geosciences. FastGAPP v2.0 is available on GitHub and Zenodo.