Reviewerly/exHarmony huggingface dataset:
Empirical Analysis of Opportunism Based on Data on University Students of Different Courses

The article is devoted to the New Institutional analysis of the factors of opportunism among students of different courses. The analysis is based on a survey in which 231 students from the Higher School of Economics and other Russian universities took part from February to May 2021. Econometric modeling is based on Latent class analysis, which allows the identification of unobservable groups based on the observed categorical variables presented. One of the main findings of the research is that fourth year students are less prone to opportunism than first, second and third year students. This can be explained by the higher opportunity costs of cheating among fourth year students and their greater independence, primarily financial. In addition, students who are motivated primarily to obtain knowledge (mastery) show a lesser inclination towards opportunism compared with students whose main motive is the degree (performance). Furthermore, a higher level of rationality, both in a general sense and in relation to budget planning, is reflected in a greater tendency to dishonest behavior. Finally, more honest behavior outside the university is combined with more dishonest academic behavior. The latter can be explained by the fact that it is psychologically more difficult to commit an immoral act in relation to a loved one than to do so in an academic environment, when you deceive a not personally familiar person and not even a specific person. Thus, on the basis of the analysis carried out, it can be understood under what conditions the student environment will be characterized by a higher propensity for opportunism and, accordingly, a lower rate of human capital accumulation.
Javanese Speech Politeness in Expressive Speech Act of Women Leader Utterance in Ponorogo Regency

This study revealed Javanese speech politeness in expressive speech act of women leader utterance in Ponorogo.Javanese speech politeness holds important role in the realization of Javanese speech act.There are three levels of Javanese speech politeness in this research that is very polite (KI), polite (KM), and impolite (Ng).This research used pragmatic qualitative approach, this study examined women leader in 8 urban and rural area in Ponorogo.The result showed that expressive speech act consists of thanking 49 %, greeting 27 %, and apologizing 24 %.The Javanese speech politeness in expressive speech act of women leader found in three language situations that is service, event, and meeting language situation.Three of kinds expressive speech acts mostly found in event language situation.Both in apologizing and greeting there is no Javanese speech politeness of expressive act in service language situation.Very polite and polite are high and impolite only found one in service language situation of thanking.The Javanese speech politeness influenced the use of expressive speech act in accordance with context or language situation.Suggestions are made to compare or contrast with utterance in any field of Javanese speech politeness.
Characterizing and Predicting Reviews for Effective Product Marketing and Advancement

In the present made world, dependably, individuals around the planet grant through different stages on the Web. It has been addressed, about 71% of by and large online customers read online surveys going before buying a thing. Thing considers, particularly the early surveys (i.e., the investigations posted at the beginning time of a thing), astoundingly impact coming about thing deals. We call the clients who posted the early examinations as "early investigators". Be that as it may, early specialists contribute just a little level of surveys, their feelings can pick the achievement or disappointment of new things and associations. It is immense for relationship to perceive early spectators since their responses can assist relationship with changing publicizing frameworks and improve thing plans, which can at last incite the accomplishment of their new things. And in dependably, a mass extent of unstructured information is made. This information is as text, which is accumulated from get-togethers, online media regions, surveys. Such information is named as gigantic information. Client feelings are identified with a wide degree of spotlights like on express things also. These investigations can be mined utilizing different movements and are of everything considered significance to make checks since they unmistakably pass on the perspective of the bigger part. Online outlines moreover have become a basic wellspring of data for clients going before settling on an educated buy choice. Early examiner's appraisals and their got strength scores are apparently going to influence thing notoriety. The test is to assemble all the audits, in like way find and investigate the assessments, to locate something refined, that scores high evaluating.
Corrigendum: Trust Dynamics and Verbal Assurances in Human Robot Physical Collaboration

[This corrects the article DOI: 10.3389/frai.2021.703504.].
Obstacles to Efficient Education Online: Interview with Associate Professor Dr. M. Murat Erguvan

Associate Professor Dr. M. Murat Erguvan has 28 years of teaching and administrative experience in various countries and positions such as programme coordinator, dean, vice rector for education, research and/or external affairs. He has been with the International Black Sea University (IBSU), in Tbilisi, Georgia, a country located at the convergence of Eastern Europe and Western Asia since 2012, and has occupied the positions of the Head of Total Quality Management &amp; Strategic Planning Office (TQM), International Relations Office (IRO), and Vice Rector for Education and Research. Murat earned his doctoral degree in Education Management: “A Framework for Implementation of Total Quality Management in Georgian Higher Education Institutions in the Context of International Black Sea University”. Currently, he offers Quality Management classes at bachelor’s and master’s levels, as well as Using Instructional Technology in Education classes to bachelor’s and master’s students. Besides coordinating bachelor’s and master’s theses, this professional educationist supervises the work for strategic planning and takes part in producing information system modules by developing database structures. In addition, he has taken part in ISO 9001:2008 implementation in higher education institutions, and received EFQM Assessor Training in Brussels. In this interview, therefore, Murat converses with Andrew Bula, a lecturer at Baze University, Abuja, Nigeria, on the current state of online education around which he remains committed.&#x0D;
EXPECTATIONS OF ELEMENTARY SCHOOL TEACHERS TOWARD THE USE OF WEB-BASED APPLICATIONS IN ONLINE LEARNING DURING THE PANDEMIC

The media has a crucial role in online learning in the pandemic era. One of the media that teachers need in online learning is a web-based application. This study aimed to determine teacher expectations of the use of web-based applications in online learning. This study was survey research conducted at one of the public elementary schools in Kabupaten Lombok Barat. The survey was conducted on 15 primary school teachers. The results of the study indicated that teachers were not familiar with web-based applications to facilitate online learning. Only 20% of teachers were reliable with the use of web-based applications for learning. Most teachers expected to receive training related to the use of web-based applications. The application used was only limited to the WhatsApp Group. Teachers' ability to use other web-based applications was still limited. At least 80% of teachers felt that they needed special training in the use of web-based applications for the learning process and the evaluation of students' learning outcomes.
C45 Algorithm for Motorcycle Sales Prediction On CV Mokas Rawajitu

CV Mokas Rawajitu is a company that sells various types of used motorbikes both in cash and on credit. In sales, the problem that occurs is the frequent occurrence of ups and downs in motorcycle sales due to the mismatch of the available motorcycle variants with consumer interests so that motorcycle sales often do not reach the target. The role of data mining is needed to analyze consumer purchasing patterns at CV Mokas Rawajitu which can produce information, namely knowing what types of motorbikes most in-demand by consumers are and which are most in-demand in the market by predicting using the C4.5 algorithm based on the sales transaction data they have. from previous periods. The study used a dataset of motorcycle sales at CV Mokas Rawajitu from 2017-2019 with a total data volume of 1,411 data. The attributes used are the motorbike category, the motorbike brand, the motorbike price, and the year of production. The tools used in this research are Rapid Miner. The results of the application of the C4.5 Algorithm can be used as a prediction of sales at CV Mokas Rawajitu because the results of the accuracy of testing data and models using 9-Fold Cross Validation reach a value of 87.95% where the 9th fold reaches the highest accuracy value with a Sensitivity level of 97, 15%, 69.05% Specificity, 86.57% Precision, 12.05% Error (Error Rate) and 30.95% False Positive Rate.
Tracking Objects on Detector Response using Extended Kalman Filter

Video analytics plays a very important role in identification or detection and tracking of objects, this intern find application in many fields and domains. Novel learning methods or techniques built on Neural Networks requires larger dataset for training the results, the output obtained depends on how well the training is done. The proposed method of Weighted Cumulative Summation (WCS) is an approach based on background modelling to segment the moving objects. This method adapts and tunes the background variations instantaneously as the video frame arrives. The segmentation obtained is compared with other basic methods. The result obtained infers improvements in segmentation and in removal of ghost effect in the video. Extended Kalman Filter (EKF) is used to track the detector response. The responses of the detection from WCS are provided as input to EKF to track the moving object. The results are tabulated and represented in the form of graphs for analysis. The results are compared with three different video datasets and the results are noticeably good. The methods WCS can be used in the applications were data set is not available.
Integrated Partial Encryption and Watermarking Technique for Digital Video using Chaos and Support Images

Encryption and Watermarking are image processing tools that are used mostly separately. Encrypting a document completely obscures it and watermarking is applied mostly for copy right protection. For entertainment type videos, partial encryption and watermarking may be integrated such that both objectives are attained. We report in this paper a novel combined partial encryption and watermarking algorithm for digital videos using chaotic system and support image. Watermarks are generated by using iris information of the authentic user or the authentic producer of the digital video. Watermarks of full size and half size are embedded in the luminance frame (s) of the video using simple LSB steganography. A sequence of color frames is watermarked in two phases, and partially encrypted in two layers, the watermarks considered are encrypted before embedding. The luminance frame (s) is (are) preprocessed before embedding with the watermarks to defy stega-analysis. Chaotic logistic map and a gray level support digital image is used for obtaining unique row/column sequences as well as for generating robust random binary sequences. A support color digital image is used in the first layer encryption of the digital video. Modified Rabinovich 4 dimensional hyper-chaotic system is used for second layer encryption. Encryption algorithm is applied in R, G, B frames separately. The technique may also be applied for integrated encryption and watermarking of digital images.
Construction a map of geochemical anomalies for the predicted value of gold in the Lidin ore field of Urup Island

The purpose of this article is to study the methods of constructing maps of geochemical anomalies using geostatistical methods. The example presented in the article shows the possibility of probabilistic determination of gold in strongly overlapped areas (Urup Island, Kuril Islands). On the site of the Kolenchaty Lidinskoye ore field, the gold ore occurrence of the Kolenchaty is known. It is timed to the incision of the river and disappears outside of it. This is due to the strong overlap of the area by Quaternary sediments. Together with the uneven distribution of gold, these circumstances complicate the construction of maps of geochemical anomalies and the identification of promising areas. To solve this problem, the Statistica program was used. With its help, a matrix of correlations was built, elements of the satellites of gold were selected, and a multiple regression equation for gold was drawn up. This equation was used to probabilistically calculate gold values at each sampling point. In ArcGis, Geostatistical Analyst, geochemical anomalies were mapped from the predicted gold value by kriging, and promising areas were highlighted.
Distance Teacher Training during the first COVID Pandemic by the University of Crete | ΕLearningLab

The closing of schools at the beginning of spring 2020, because of the Corona Virus pandemic, featured the need for School Distance Education (SDE). Nevertheless, teachers did not have previous experience in SDE and as a result, they were in need of support in this urgent situation. The Laboratory for Advanced Teaching Technologies for Lifelong Learning and Distance Education (e-Learning Lab) of the University of Crete, attempted to contribute with its own means to the support of teachers who struggled to respond to the challenges of distance teaching resulting from the suspension of schools. Within the above framework, fast track distance seminars were designed and implemented, aiming at the support of teachers on pedagogical issues of Distance Education. During the period from 19 March to 29 April 2020, 20 distance training seminars were conducted, in which more than 40,000 teachers of primary and secondary education from around Greece participated. The overall presentation and assessment of the training actions showed not only the enormous interest of the teaching community but also the need for such training actions with particular emphasis on the principles and the methodology of SDE, on synchronous and asynchronous learning environment as well as the designing or planning of teaching scenarios based on the pedagogical approaches compatible with Distance Learning.
Implementation of Fuzzy Multi-Objective Optimization On The Basic Of Ratio Analysis (Fuzzy-MOORA) In Determining The Eligibility Of Employee Salary

Purpose: CV. Harmoni Permata has several employees, and each employee has a bonus salary. However, in determining who is eligible for the employee salary bonus at CV. Harmoni Permata is still done manually assessment. This causes an error in the calculation because the decision-maker must look at previous historical data to decide.Design/methodology/approach: System design includes systems that can manage user data, position data, criteria data, criteria description data, absences data, task data, and assessment data, which will produce an assessment report. The MOORA method approach is used because it has calculations with minimum and simple math and has a good level of selectivity. Findings/result: The normalization comparison test of the manual calculation of the MOORA method with the system calculation results is the same, with the best five alternative employees who deserve a salary bonus.Originality/value/state of the art: Based on previous research reviews, this study uses the criteria for performance, honesty, attendance, and accuracy by determining the weight based on the type of benefit or cost and the MOORA method in calculating the final value of alternative ranking.
The Feasibility of Indonesian Scientific-Based Learning Module with Time Token Arend Method

This study aims to determine the feasibility of teaching materials in the form of scientific- based learning modules with the Arend Time token learning method, where the steps of this learning activity are designed so that students are actively involved in the learning process and carry out the social interaction process with other friends and can contribute actively. This study used Research and Development (R &amp; D) with the Sugiyono method which consisted of 10 stages, however the researcher only used 7 stages due to the current state of Covid-19. These stages are (1) potential and problems, (2) data collection, (3) product design, (4) design validation, (5) design revision, (6) Product Revision, then followed by (7) limited production. Then the module is validated by experts consisting of design, material, and language experts using a questionnaire in the form of a validation sheet. The result of this research is that the percentage of eligibility results of design experts is 81.25% with very valid categories, 93% material experts with very valid categories, and linguists of 84.61% with very valid categories. So it can be concluded that the scientific- based Indonesian learning module with the time token method for grade IV SD / MI is feasible to use to make students actively involved in the process of learning activities.
Students' Reading Anxiety: A Rasch Model Analysis

The aim of this study is to determine the instrument and the students’ responses of reading anxiety. The approach of this research is qualitative descriptive. The gathered data were analyzed qualitatively by using Rasch Model. A questionnaire was used as an instrument to get the data. 14 female students of SMP Islam De Green Camp were involved in this research. The FLRAS by Horwitz et al was used to create a questionnaire that contained 20 items. The study showed that the quality of the instrument and the students’ responses were not good enough to be used due to their small amount. Therefore, teachers must choose and creates a good instrument to know their students’ responses about reading anxiety. Then, students are recommended to read more English texts to minimize their reading anxiety.
Ore Microscopy of the Pegmatites of Keffi Area, North Central Nigeria

Investigation of the pegmatites of Keffi area was carried out in reflected light microscopy to determine the texture, elemental composition, and the semi-quantitative analysis of the ore minerals from the three groups of pegmatites identified in Keffi area: the non-mineralised, the intermediate and the mineralised pegmatites. Backscattered Electron (BSE) images and Wavelength Dispersive Spectrometry (WDS) were used. Petrographically the portion which is characterised by profuse albitisation, sericitisation and silicification is also associated with the development of cleavelandite, lepidolite, coloured tourmaline and high concentrations of cassiterite and columbite-tantalite (coltan).The order of crystallisation in the pegmatites is from microcline to quartz followed by (plagioclases) oligoclase to albite and by mica (from biotite to muscovite) then by accessory minerals such as black tourmaline, garnet, beryl and lastly oxides of Sn-Nb-Ta. Sphene, rutile, zircon, apatite, ilmenite, and magnetite appeared to be earliest minerals whilst garnet pyrite and chalcopyrite may be syn-metamorphic. Beryl and coloured tourmaline appear to be of hydrothermal phase.
An example of an internal function for the SPONGE scheme

The article discusses a new version of the internal function underlying the perspective modern scheme for constructing cryptographic hash functions Sponge (cryptographic sponge). The considered example of an internal function is similar to the Keccak permutation, but it has a number of main differences. The inner function operates on a 2048-bit state S, which can be viewed as a three-dimensional bit array of 4 x 8 x 64 size. The structure of the internal function is made up of 5 transformations similar to Keccak. However, firstly, in this example, instead of a 5-bit S-box, an 8-bit one is used. In this regard, the parameters of the three-dimensional representation of the state have been changed. Secondly, instead of a linear feedback shift register, a dictionary shift register with ring carry feedback is used to generate round constants. The properties of these transformations are analyzed in the work.
Optimized Bootstrap Sampling for σ-AQP Error Estimation: A Pilot Study

Approximate query processing (AQP) aims to provide an approximated answer close to the exact answer efficiently for a complex query on large datasets, especially big data. It brings enormous benefits into many data science fields when the efficiency of query execution weighs more than the accuracy. However, assessing the accuracy of an approx- imated answer from AQP deserves more study. Existing work usually relies on strong dataset assumptions which may not work for real-world datasets. In this work, we employ bootstrap sampling to assess the estimation errors of the AQP for selection queries (called σ-AQP). We implement a prototype system which can calculate confidence intervals for the estimated query results. Experiment results demonstrated that the confidence intervals generated by the prototype system can cover the ground truth of the query results with high accuracy and low computing cost. In addition, we implement optimization strate- gies for the bootstrap sampling which have significantly improved the overall computing efficiency.
Rerunning OCR: A Machine Learning Approach to Quality Assessment and Enhancement Prediction

Iterating with new and improved OCR solutions enforces decision making when it comes to targeting the right candidates for reprocessing. This especially applies when the underlying data collection is of considerable size and rather diverse in terms of fonts, languages, periods of publication and consequently OCR quality. This article captures the efforts of the National Library of Luxembourg to support those targeting decisions. They are crucial in order to guarantee low computational overhead and reduced quality degradation risks, combined with a more quantifiable OCR improvement. In particular, this work explains the methodology of the library with respect to text block level quality assessment. Through extension of this technique, a regression model, that is able to take into account the enhancement potential of a new OCR engine, is also presented. They both mark promising approaches, especially for cultural institutions dealing with historical data of lower quality.
Web Application: Time Series-COVID19 Prediction

Here the purpose of Visualization is to observe whether the data is distributed normally or not and to observe and remove the outliers.If data in each attribute is not normally distributed we have to apply some normalization techniques.But we have data distributed normally after removing outliers and normalization.And we can gain some meaningful insights from the observations above histograms and plots.Now, we are separating the features and label values into two different data frames.