Reviewerly/exHarmony huggingface dataset:
Voice Versus Keyboard and Mouse for Text Creation on Arabic User Interfaces

Voice User Interfaces (VUIs) are increasingly popular owing to improvements in automatic speech recognition. However, the understanding of user interaction with VUIs, particularly Arabic VUIs, remains limited. Hence, this research compared user performance, learnability, and satisfaction when using voice and keyboard-and-mouse input modalities for text creation on Arabic user interfaces. A Voice-enabled Email Interface (VEI) and a Traditional Email Interface (TEI) were developed. Forty participants attempted pre-prepared and self-generated message creation tasks using voice on the VEI, and the keyboard-and-mouse modal on the TEI. The results showed that participants were faster (by 1.76 to 2.67 minutes) in pre-prepared message creation using voice than using the keyboard and mouse. Participants were also faster (by 1.72 to 2.49 minutes) in self-generated message creation using voice than using the keyboard and mouse. Although the learning curves were more efficient with the VEI, more participants were satisfied with the TEI. With the VEI, participants reported problems, such as misrecognitions and misspellings, but were satisfied about the visibility of possible executable commands and about the overall accuracy of voice recognition.
Analisisis Kinerja Sprinkler Mini Meganet 24 D Netafim Terhadap Variasi Debit dan Jarak Penempatan Sprinkler

Currently, there are many efficient and effective sprinkler irrigation tools on the market, so it is necessary to be careful in choosing for irrigation. Among them, the Meganet 24D Netafim, including the type of irrigation tool, which still needs testing to know its performance. This study aims to examine the sprinkler irrigation performance of Meganet 24D Netafim, on variations in flow rate and distance between sprinklers, related to irrigation uniformity (CU) and irrigation radius (Rn). This test was carried out on an area of about 1 acre, at a flow rate of Q1=0.42/sec, Q2=0.51 l/sec, Q3=0.52/sec, Q4=0.56 and the test sprinkler distance, r1=2 ,5m, r2=3m,r3 = 3.5m and r4 = 4m. The results of data analysis are presented in the form of tables and graphs and concluded descriptively. The results showed that, in all variations of Q and sprinkler spacing r1, r2, r3 obtained irrigation uniformity (CU) above 85% which was classified as high, while in the r4, Q1 and Q2 tests, CU was obtained below 85% which was considered low. All discharge variations, showing irrigation radius (R) about 5 m. So at r4 sprinkler spacing, it is not recommended in irrigation applications.
Network infrastructure in the present-day realities

The development of digital technologies, the transformation of the Internet into a “communication medium” leads to the formation of a network society with the large-scale development of network culture and the invasion of network business and network forms of education. Replacement of the face-to-face contact by the network communication, destruction of personal space, openness of personal life, its “inclusion in the network”, simultaneous possibility of anonymity, protection and irresponsibility of users become a reality of modern life. Network systems are becoming the basic infrastructure of modern society.
Teachers’ Perceptions in Using Online Applications to Teach Vocabulary During Online Learning

Covid-19 pandemic has made a total shift in education, from face-to-face learning to fully online learning in most of the countries.This study investigates English teachers' perceptions in using online applications to teach vocabulary at the secondary school level.This study involved English secondary school teachers in one of the districts in Terengganu.This study used the quantitative method through the survey approach.This research used SPSS version 26 in analysing through descriptive analysis to identify mean and standard deviation.The findings revealed that there are mixed perceptions among the teachers in using online applications to teach vocabulary.WhatsApp and Telegram are the two frequently used online applications in teaching vocabulary by teachers.Even though the unplanned and rapid move to online learning gives impact on teachers and students, teachers were still optimistic about teaching vocabulary using online applications.This research is hoped to give impact to the school administration, educational policymakers in integrating the nature of the online application to the teaching-learning process.
Gene Sequence Clustering Based on the Profile Hidden Markov Model with Differential Identifiability

In the era of big data, next-generation sequencing produces a large amount of genomic data. With these genetic sequence data, research in biology fields will be further advanced. However, the growth of data scale often leads to privacy issues. Even if the data is not open, it is still possible for an attacker to steal private information by a member inference attack. In this paper, we proposed a private profile hidden Markov model (PHMM) with differential identifiability for gene sequence clustering. By adding random noise into the model, the probability of identifying individuals in the database is limited. The gene sequences could be unsupervised clustered without labels according to the output scores of private PHMM. The variation of the divergence distance in the experimental results shows that the addition of noise makes the profile hidden Markov model distort to a certain extent, and the maximum divergence distance can reach 15.47 when the amount of data is small. Also, the cosine similarity comparison of the clustering model before and after adding noise shows that as the privacy parameters changes, the clustering model distorts at a low or high level, which makes it defend the member inference attack.
Implementation of learning models by high school teachers in the time of covid-19 with the school of students in the City of Lhokseumawe

The learning model is a conceptual framework that is used as a guide in carrying out learning activities. With the use of models, learning can be more directed, easy to understand, and mastered by students. Hence, the use of models in learning must be in accordance with the theory being taught, the goals to be achieved, and the environment and students must also be considered. In addition, the model used must also be fully controlled by the teacher. If these factors are not considered, the final result will not be as expected. Problems arise, students do not want to learn, the learning atmosphere is uncomfortable, the teacher is also uncomfortable in teaching, so that the students' grades are not optimal. Therefore, in this study, Researchers want to see how the model is applied by teachers, especially Indonesian language subject teachers, as well as the Covid-19 period with student final grades (UNAS). The method used in this research is qualitative method. Researchers will describe the final results of the study, then draw a conclusion. In collecting data, researchers used observation, interview, and documentation study techniques. Observations here, are not only observations in the classroom, but also researchers make observations of other facilities and infrastructure. Through this research, it is hoped that (1) there will be an image as a reference material for related agencies in making policies to improve the quality of education, (2) a reference for other educators on the application of an effective model, and (3) find the latest learning models that might be found in this study. Then, the results of this research are also targeted to be published in national seminars and journals.
Structural Relationship of Factors Affecting PMO Implementation in the Construction Industry

This paper focused on studying the factors affecting PMO implementation in the construction industry. A PLS-SEM model was developed for achieving this objective. The model used 171 survey data sets consisting the model was developed and evaluated using SmartPLS software. Model evaluation at the measurement level found that it has achieved the convergent and discriminant validity thresholds. While at the structural level, the model has reached its criterion fitness values. For the hypothesis testing, it was found that all three paths of factors have a significant relationship to the PMO implementation in the construction industry. From this validated model, the most dominant factors affecting PMO implementation are Resistance to change for organizational culture group; Additional administrative workload for project management group, and Inexperience PMO leadership for the resource management group. These findings will help construction practitioners in understanding the importance of PMO implementation in the construction industry. Doi: 10.28991/cej-2021-03091781 Full Text: PDF
Digital literacy of teachers within Covid-19

The article is devoted to the study of the digital competence of teachers of Surgut branch of Tyumen Industrial University, as well as their opinion on the feasibility of introducing ICT into the structure of students' education. On the basis of the survey, the ways of the ICT used by teachers were identified, the main features of the ICT used in teaching process of different disciplines, the level of digitalization of the educational process were highlighted. The research was carried out on on the basis of Tyumen Industrial University. The data collection procedure included a questionnaire containing 13 questions, of which 11 were closed-ended, with suggested options, and 2 were open. Based on the data obtained, the difficulties encountered by teachers were identified, which prevent introducing modern technologies in the learning process. The article puts forward the idea of ​​changing the approach to training teachers for the process of ICT implementation. The following conclusion is made that the obtained data allow reforming the strategy of educational activity.
Statistical Model of Correlation Difference and Related-Key Linear Cryptanalysis

The goal of this work is to propose a related-key model for linear cryptanalysis. We start by giving the mean and variance of the difference of sampled correlations of two Boolean functions when using the same sample of inputs to compute both correlations. This result is further extended to determine the mean and variance of the difference of correlations of a pair of Boolean functions taken over a random data sample of fixed size and over a random pair of Boolean functions. We use the properties of the multinomial distribution to achieve these results without independence assumptions. Using multivariate normal approximation of the multinomial distribution we obtain that the distribution of the difference of related-key correlations is approximately normal. This result is then applied to existing related-key cryptanalyses. We obtain more accurate right-key and wrong-key distributions and remove artificial assumptions about independence of sampled correlations. We extend this study to using multiple linear approximations and propose a Χ2-type statistic, which is proven to be Χ2 distributed if the linear approximations are independent. We further examine this statistic for multidimensional linear approximation and discuss why removing the assumption about independence of linear approximations does not work in the related-key setting the same way as in the single-key setting.
Audiovisual practices of new media and their communicative nature

The purpose of the article is to analyze the specifics of audiovisual practices of new media and reveal their communicative nature. The methodology of the work is to involve an analytical approach to highlight the features of new media and their components. A comparative approach was used to highlight the features of audiovisual practices and media art. Scientific Novelty. The specifics of audiovisual practices of new media, which are characterized by interactivity, are revealed. Their role in communication through audiovisual content is emphasized. Simplifying the mechanisms for creating an audiovisual product in software applications makes it easy to distribute messages. In contrast to media art, which has a clear aesthetic function, in audiovisual practices prevail communicatively. Conclusions. New media occupy a significant place in the modern cultural space. A wide range of phenomena that can be attributed to new media is characterized by certain common features. These include their communicative nature and existence on the Internet. Audiovisual practices of new media are extremely diverse. They include both media art and practices that contain an aesthetic component but cannot be fully attributed to the arts. The art practices of new media are evolving through a combination of birth digital and became digital objects. Communication and interactivity are the basic characteristics of new media audiovisual practices.
Modern interactive teaching methods in the field of algorithmization and software testing as a concept for improving the effectiveness of the educational process

It is determined that the implementation of the concept of modern higher education requires in-depth analysis of training in all areas of higher education, which contributes to the creation of new approaches to organizing the educational process in higher education using modern teaching methods, including active and interactive methods. Based on the analysis of special literature and generalization of practical experience of training in higher education, several active teaching methods were considered, focused on the active participation of the student in self-development, taking into account their personality. It is emphasized that the organization of interactive learning involves: solving creative problems, modeling of life situations, joint problem solving and more. The analysis proved that the use of active and interactive teaching methods in the training of future professionals contributes to the activation of students' cognitive activity, as well as the quality of learning material and teamwork skills, achieving a level of high professional competence.
Interactive Map of Coronavirus Spread in Croatia

Abstract. At the beginning of any crisis, including pandemics, it is very important to provide timely information to expert headquarters at the local and global level so that they can make daily decisions about measures and behavior of the population. Support for this can be a combination of analytical and statistical data together with the locations from which these data were collected. Part of the cartographic visualization deals precisely with the ways of designing and visual presentation based on which it would be clear to the user where the biggest hotspots and the biggest changes are compared to the previous period. The paper describes the origin and proposal of the original dashboard for monitoring the COVID pandemic in Croatia. The dashboard contains and combines thematic data and displays it with the layout and design carefully determined. The goal is for the data to be implemented as soon as it is available to the public. Similar works available on the Internet are also shown. The entire course of making the dashboard for the COVID pandemic and dissemination data is described, as well as data sources, software, problems encountered and solutions.
A complexity hierarchy-based solution to the clausal subject puzzle in Turkish

This paper presents a novel analysis of subordinate clause structure in Turkish, focusing on subordinations formed by the following three suffixes: the infinitival -mA(K) with tenseless and (ir)realis usages, and -DIK/ -(y)ACAK with a (non)future temporal specification. We present a classification aligning each form on the Implicational Complementation Hierarchy (ICH) proposed in Wurmbrand and Lohninger (2020), which provides a solution for the subject puzzle observed with these clauses: only infinitival -mA(K) clauses with their (ir)realis use are compatible with being the subject of a transitive verb. We propose that (ir)realis infinitival clauses belong to the situation class in the ICH, and that this middle class is of the ideal semantic complexity and syntactic size for a clausal subject in Turkish.
Three Apologies: A Study of the Evolution of Crisis Communication Strategies by the Arts Council Korea (ARKO) in Response to the Blacklist Case

조직이 위기 상황에서 무엇을 어떻게 말할 것인가는 조직이 지속적으로 사회적 인정과 정당성을 획득하기 위해 매우 중요하다. 본 논문에서는 문화예술계 블랙리스트 사례 중 2015년부터 2019년까지 불거진 한국문화예술위원회(이하, 예술위) 팝업씨어터 사건 관련 위기 커뮤니케이션 사례에 주목하고, 이 사태에 대해 예술위가이해관계자들과 소통한 방식에 대해 살펴본다. 특히 Hearit(2006)의 위기 커뮤니케이션 연구모델을 분석틀로 적용하여 예술위가 팝업씨어터 사건과 이후 발표한 세건의 사과문을 분석한다. 이를 통해 예술위의 위기 커뮤니케이션 방안이 세 번의사과를 통해 어떻게 변화했는지 탐색하였다. 연구 결과 팝업씨어터 사건은 사회문화적 질서를 위반한 사건이며, 그 결과 조직의 역량과 사회적 사명의 측면에서 사회적 정당성을 위협하는 위기가 발생하였다는 것을 확인하였다. 또한 Hearit의 분석틀을 통해 시기별로 발표된 사과문의 실질적인 변화를 탐색하였으며 사과의 핵심이 단순히 무조건적 사과나 유감 표명이 아닌 위기의 본질을 파악하여 준비되어야한다는 것을 확인하였다.How an organization communicates to relevant stake-holders in a crisis is critical to gain continued social acceptance and legitimacy. In this paper, we examine the evolution of crisis communication strategies by the Arts Council Korea(ARKO) in response to the Blacklist case that unfolded from 2017 through 2019. In doing so, we focused on the ‘Pop-up Theater case’, where ARKO officials had exercised their discretion to have the play produced by theater artists be discontinued because they had viewed that the play was engendering the imagery of the Sewol-Ho tragedy. Using a case study methodology, we follow a series of events that occurred during this crisis management process, analyzing three apologies issued by the ARKO. In doing so, we draw on Hearit (2006) s crisis management theory to evaluate how ARKO’s crisis communication was managed. Overall, our study highlights that without incorporating truthfulness and sincerity congruent with stakeholder expectations, an organization’s crisis communication is likely to be less successful.
A framework analysis approach of an indoor air quality sensor

Killing around 7 million people a year, air pollution is the biggest risk to environmental health in the world. In this paper, we explore the use of structuring knowledge representation in form of a framework approach for an indoor air quality sensor. Applying the main steps to be considered in defining an air quality framework, we discuss each one of them, followed by a particular implementation of the framework in terms of an ontology model to exposure to carbon monoxide and PM10.5 (two of the most encountered pollutants in home life).
FORMATION OF FUNCTIONAL LITERACY OF STUDENTS

The article considers the issues of teachers’ development and training and ways of increasing their and their students’ functional literacy that is seen as an indicator of mastering the competencies required in education. The authors explore methods of develop teachers and students’ ability to conduct joint search for solutions to current problems and meet modern challenges in real life situations, which determines practical and theoretical significance of the research. The article aims to study the development of functional literacy of school and university students, changes in teaching methods and ways of improving skills of a modern teacher in a comprehensive school and teaching staff at a pedagogical university.
Research on Solar Power Generation Control System Based on 360 Degree Rotate Double-Motor

Aiming at the problems of low utilization rate of solar energy and poor anti-interference ability of tracking structure solar energy control system in fixed structure solar energy device, this paper designs a dual axis high-precision solar tracking system based on four quadrant rule. The system adopts two ways: automatic tracking and manual correction. The system uses four photoresistors as detection elements, uses the four quadrant principle to judge the tracking offset angle, and drives two-dimensional two axis stepper motor through STC89C52 processor to achieve the purpose of vertical angle, so as to ensure that the solar panel is always in the state of maximum light receiving surface; When the system is disturbed, it can be judged according to the change of the photosensitive resistance in the energy monitoring system, and the artificial correction can be realized by modulating the size of the divider resistance, which can basically achieve 360° Automatic rotation tracking. In addition, the energy monitoring system based on LabView is designed. Through the real system analysis, it can be concluded that the photoelectric energy conversion rate of the fixed solar device is increased by 32.4%.
My Experience in Teaching French

The article presents the results of the teaching of French language in the senior classes of high school. The author investigates the methods of successful French learning, analyses the ways of correcting mistakes, gives some examples of explaining the rules. The author concludes that the climate of benevolence is an important condition of successful language learning.
Classifying Agnostic Biosignatures using Raman, VNIR, and Elemental Data

How can we use our current wealth of terrestrial data, encompassing biogenic and abiogenic systems, to determine the distinguishing properties of life?SCOBI (Statistical Classification of Biosignature Information) uses machine learning techniques to algorithmically identify combinations of measurements that are "indicative of life".A set of ˜1000 observations, comprising elemental abundance, isotopic fractionation, VNIR reflectance, and (in progress) Raman spectra, have been assembled from existing literature and databases.The observations cover systems classified as "indicative alive" (e.g., cells, vegetation), "indicative non-alive" (e.g., fossils, teeth), "mixed indicative" (e.g., soil, pond water), or "non-indicative" (e.g., rocks, meteorites).VNIR data was preprocessed by linear interpolation from 400-2100 nm and smoothed with a Savitzky-Golay filter.To limit the amount of Earth-biochemistry-specific (non-agnostic) information included, the first five spectral features extracted were number of peaks, number of troughs, mean reflectance, mean peak width, and broadest peak width.To help further emphasize agnostic biosignatures, Earth-specific features such as chlorophylls have been manually flagged so that feature importance with and without them can be compared.Classifiers including k-nearest neighbors (KNN), Gaussian Naïve Bayes (GNB), logistic regression (LR), random forest (RF), and support vector machine (SVM) were implemented, as was a combination voting classifier.Performance metrics included false positive rates, false negative rates, and AUC with 50-50 test/train splits (Monte Carlo simulations).Key takeaways from this stage, prior to the inclusion of Raman spectra, are (1) the overall success rate of 0.933 AUC was most heavily influenced by the elemental abundance data; and (2) VNIR reflectance had the lowest classification performance with 0.52 AUC (58% of objects correctly classified).The next steps are to complete integration of Raman spectral data and to improve the approach to pre-processing and feature extraction for both types of spectral data, such as automated baseline removal, whole spectrum matching, and dimensionality reduction.