Reviewerly/exHarmony huggingface dataset:
Modelling the Earth’s Solar Irradiance Across Some Selected Stations in Sub-Sahara Region of Africa

Solar radiation is an important parameter in the study of electricity and/or thermal system installation. Direct monthly irradiance data measurements of the earth’s horizontal surface irradiance for the year 1985 to 2019 for nine stations (Sokoto, Birnin Kebbi, Maiduguri, Ilorin, Calabar, Port-Harcourt, Enugu, Iwo, and Ikeja) were collected from the achieve of HelioClim satellite website. The stationarity of the series was determined using the time plot of the irradiance data between the periods under study but the formal test of stationarity was carried out using the Augmented Dickey-Fuller (ADF) test with a p-value less than 0.05 signifying stationarity. Different autoregressive integrated moving average (ARIMA) models were fitted to the irradiance data for each of the selected stations. The results revealed that Sokoto, Maiduguri, and Kebbi have their maximum solar irradiance at about and their minimum at about , while Ilorin has its maximum solar irradiance at about and its minimum solar irradiance at about . Ikeja, Iwo and Port-Harcourt, Calabar and Enugu have their maximum solar irradiance and their minimum solar irradiance at about . It is therefore concluded that for Kebbi, Iwo and Maiduguri, the best model was ARIMA (3,0,3), for Calabar and Sokoto, it was ARIMA (2,0,2) while for other locations like Enugu, Ikeja, Ilorin and Port Harcourt, ARIMA (2,0,3) was the best model for forecasting irradiance in these study areas. The forecasted values of irradiance between January till December 2020 with its corresponding 95% confidence levels indicate good prediction of solar irradiance for future occurrence.
Exploring a Social Learning Perspective on Computer Forensics Barriers and Factors Affecting Cybercrime Investigation in Kenya

As Kenya matures into an information society, she is exposed to various cyber threats and challenges resulting from the ubiquity of the internet and advancement of technology.Social engineering tricks have been applied to exploit vulnerabilities in people, processes and technologies used in varied environments.On the other hand, computer forensics development plays catch up with the rising challenges within the field especially on the levels of expertise.Social learning brings the element of gaining cultural knowledge, skills, attitudes, strategies, rules and beliefs through observing others.To determine the need for a proactive means of overcoming the ever challenging cybercrime, a Social Learning perspective into the development of standardized procedures in legislation, investigation processes, certification and training of cybercrime investigators is explored, so computer forensics can become a more effective and mature field in curbing cybercrime investigation barriers, especially in predicting and understanding of cybercriminals' behavior.
Research on the realization of intelligent computer in assistant teaching

&lt;p&gt;The combination of artificial intelligence and computer-aided instruction (CAI) makes up for the original shortage and also improves the teaching quality of teachers and the learning efficiency of students. Based on the characteristics of the intelligent computer-aided instruction system, this paper analyzes the realization principle of the system, hoping to be helpful.&lt;/p&gt;
Supplemental Material: Mesoproterozoic–Early Cretaceous provenance and paleogeographic evolution of the Northern Rocky Mountains: Insights from the detrital zircon record of the Bridger Range, Montana, USA

Analytical techniques, data reduction methods, ICP-MS zircon U-Pb datasets, comparison of age-probability curves generated using PDPs and various KDE bandwidths, sample information, and NMF details and results.
Educational practice of students – prospective teachers in the context of distance learning

The paper raises the problem of effective organization of pedagogical practice of students prospective teachers in general and educational practice, in particular. The goal and the tasks of educational practice correlating with it are given (practice for obtaining primary professional skills, including primary skills and research skills). The experience of organizing this type of practice in the context of distance learning is presented. The tasks offered to students in a distance format are described: drawing up characteristics of an educational institution, identifying individual and personal characteristics of the teaching style of a foreign language teacher, analyzing activities of the subjects of the educational process at the lesson, assessing professionally significant qualities of the teacher, analysis of the educational process at the lesson, developing a plan outline of educational activities, analysis of educational activities, analysis of students activities in extracurricular educational work to achieve personal results indicated in the federal state educational standard of basic general education, analysis of pedagogical situations, reflective analysis of educational practice. The analysis of the reflexive part of students reports whose practice was in distant (2020) and full-time (2019) forms is carried out, and the peculiarities of students assessment of their activities within the framework of two forms of educational practice are revealed. The authors reveal what aroused particular interest among the students, what they thought they had learned, what caused the difficulties. The pros and cons of conducting educational practice (practice for obtaining primary professional skills, including primary skills and research skills) in a distant format are substantiated. The paper argues the position about the importance of real interaction with students and school teachers in the context of educational practice for the effectiveness of professional training of prospective teachers.
A Typical Instrument for Assessing the Genre-Based Writing

Recently, it is a fact that the genre-based writing English Curriculum in Indonesia either in high or higher education has been implemented for years. Unfortunately, it seems that the student’s writing is not assessed in accordance to the nature of genre based writing itself yet. As a matter of fact, assessment plays important role to success of teaching and learning. A proper assessment instrument leads to the valid and reliable learning achievement or otherwise. In terms of genre based writing, as a typical approach to teaching and learning writing also needs the assessment instrument meeting the nature of the genre based writing itself. This paper is aiming at providing a preliminary understanding and sights of typical instrument for assessing the genre based writing.
Generating W states with braiding operators

Braiding operators can be used to create entangled states out of product states, thus establishing a correspondence between topological and quantum entanglement. This is well-known for maximally entangled Bell and GHZ states and their equivalent states under Stochastic Local Operations and Classical Communication, but so far a similar result for W states was missing. Here we use generators of extraspecial 2-groups to obtain the W state in a four-qubit space and partition algebras to generate the W state in a three-qubit space. We also present a unitary generalized Yang-Baxter operator that embeds the W_n state in a (2n-1)-qubit space.
Analytical Evaluation of Resource Estimation in Web Application Services

Cloud computing for web application is ubiquitous in the global market and represents a generic pattern because rapid elasticity and infrastructure scaling naturally lends itself to the needs of a virtual data center. Server requirement analysis depending on the workload play a very important role in web app development and it leads to availability of service to customer at any cost and cost analysis to the application provider. To achieve proper infrastructure scaling the minimal number of servers are have to satisfy and determine SLO. Thus this paper evaluates an analytical model to formulate prediction or estimation of required servers has to satisfy the QoS performance metrics such as throughput, utilization of cloud datacenter, request loss and required number of servers. The experimental model is used to validate correctness of the analytical model that was hosted on AWS cloud platform. Finally results have presented and conclusions are drawn.
INNOVATIVE TEACHER EDUCATION THROUGH PERSONALISED LEARNING

S. Ališauskienė1, L. Kaminskienė1, L. Milteniene1, R. Meliene1, A. Kazlauskiene2, A. Rutkiene1, V. Venslovaite3, S. Kontrimiene3, A. Siriakoviene2 1Vytautas Magnus University (LITHUANIA) 2Siauliai University (LITHUANIA) 3Vilnius University (LITHUANIA)
Simulations for Flow-Symmetry Through r.avaflow in the General Two-Phase Mass Flow Model

Gravitational flows, e.g., landslide, debris flow and avalanches are hazardous mass wasting processes. The proper understanding of their dynamics is very important. As laboratory experiments can not perfectly model their initiation process and field assess of the live events are very difficult, numerical experiments have become the promising way for the study of their flow dynamics. Here we employ the enhanced version of two-phase mass flow model [33] through the open source computational code, r.avaflow to analyze the issue of symmetry in the flow. Two-phase debris mass are triggered from all the flanks of the three different pyramids (triangle-based, square-based and octagon-based) with different rotational symmetry and study the flow pattern along with maximum kinetic energy of the flow. Flow past two different types of obstacles (a tetrahedron and a square based pyramid) are also observed. The possible causes of asymmetry in the flow are also analyzed.
Towards a Sentiment Analyser for Low-resource Languages

Twitter is one of the top influenced social media which has a million number of active users. It is commonly used for microblogging that allows users to share messages, ideas, thoughts and many more. Thus, millions interaction such as short messages or tweets are flowing around among the twitter users discussing various topics that has been happening world-wide. This research aims to analyse a sentiment of the users towards a particular trending topic that has been actively and massively discussed at that time. We chose a hashtag \textit{\#kpujangancurang} that was the trending topic during the Indonesia presidential election in 2019. We use the hashtag to obtain a set of data from Twitter to analyse and investigate further the positive or the negative sentiment of the users from their tweets. This research utilizes rapid miner tool to generate the twitter data and comparing Naive Bayes, K-Nearest Neighbor, Decision Tree, and Multi-Layer Perceptron classification methods to classify the sentiment of the twitter data. There are overall 200 labeled data in this experiment. Overall, Naive Bayes and Multi-Layer Perceptron classification outperformed the other two methods on 11 experiments with different size of training-testing data split. The two classifiers are potential to be used in creating sentiment analyzer for low-resource languages with small corpus.
ORGANIZATIONAL CULTURE IN ADMINISTRATIVE MANAGEMENT OF CHINA

The article discusses the issues of improving the modern university management system with Chinese characteristics. It is noted that in the administration of colleges and universities in China, the implementation of values plays an important role in the effectiveness of their management. It is noted that organizational culture is an immanent component of the higher education institution management system. It acts as a composite and at the same time integral characteristic of the organizational environment of scientific and pedagogical workers and students. An understanding of the concept of "organizational culture" and its role in the administration of universities in China is provided. It was found that the following definition is appropriate for the study: organizational culture is a set of the most important proposals directed at all members of the collective that express the values declared by the organization and give people guidance on their behavior and actions. The organizational culture of universities includes the concepts of values, which provide norms, standards and requirements. It has been established that a “mature” management system must strictly implement values in order to achieve the development of all levels of management in universities. The academic style, academic nature, educational environment is reflected both in many departments of the organization and in existing working relations at the university. The values for managing the university administration are described, which include: creating a dynamic, intelligent, standardized, effective administrative office; the presence of an effective management style, starting from the first level; continuous professional development of the organization’s employees; the creation of conditions that emphasize the orientation on a person, his physical and mental health, optimistic attitude to life and work, ensures the quality of professional activity. Key words: organizational culture, administrative management, management values, university.
Impacto de la Pandemia por SARS-CoV2 sobre la Educación

It describes the impact of the SARS-CoV2 pandemic on education and proposes some scenarios where the Universidad Nacional can contribute to mitigate the damage and participate in the construction of the post-pandemic scenario.
Correction to: Avoiding Help Avoidance: Using Interface Design Changes to Promote Unsolicited Hint Usage in an Intelligent Tutor

A Correction to this paper has been published: https://doi.org/10.1007/s40593-020-00232-0
Pembelajaran Bahasa Indonesia di Sekoah Dasar

Indonesian language lessons in elementary schools are basically teaching children to communicate using Indonesian. Indonesian language lessons in elementary schools that are directed at improving students' ability to communicate in Indonesian both spoken and written. Elementary schools have the goal of creating or preparing students to have the ability to continue to a higher level of education. One of the efforts made to achieve this goal is to improve student achievement.
Simulation decision games and effectiveness of their use for higher education among working and non-working students – practical view

Purpose:The aim of the article is to assess the role of business simulations in shaping entrepreneurial skills at a university, where simulation games are used as a tool to support the teaching process.Therefore, the article presents the effectiveness of their use in academic conditions in a practical context, based on scientific research.Design/methodology/approach: For the purposes of this article a survey was conducted among students who participated in classes using simulation games.Findings: The introduction of innovative teaching methods at universities seems necessary due to the changing economic needs, and thus the need to acquire new competences in the labour market by employees (university graduates or students working during the course of study).One of the most difficult problems results from the discrepancy between the goals of the educational system and the insufficient preparation of lecturers to work in the present conditions, and the low level of development of their skills.Research limitations/implications: It is advisable to carry out further scientific research in the field of using of simulation games due to the fact that they are increasingly used as a tool to support the process of practical learning.Practical implications: Not without significance for the learning process is also the emotional involvement of participants who acquire knowledge more easily if they are interested in the given issue and understand the benefits resulting from it.Social implications: Nowadays, it is impossible to imagine didactic activities carried out only in a conventional way.Currently implemented didactic processes at universities are often supported by active and modern teaching methods which include, among other things, simulation games.Their main advantage is that they facilitate the transfer of knowledge in an interesting way, teach creative problem solving, arouse interest and allow to gain new experiences, including interpersonal ones.Originality/value: Active learning tools such as collaborative learning and problem-based learning can partly replace the traditional lecture-based method that continues to dominate in higher education.Advocates of active learning show that these innovative teaching strategies are more effective in increasing student motivation, knowledge acquisition, and general academic achievement.
The Effect of Question Answer Relationship (QAR) Strategy in Enhancing Students’ Reading Comprehension

The aim of this study was to find out the effect of Question Answer Relationship (QAR) strategy in increasing students’ reading comprehension. The method used in this research was quasi experimental design. The sample of this study was 30 students of X hospitality accommodation, selected by using the purposive sampling method. They were divided into two classes, 15 students as experimental class who were taught using Question Answer Relationship Strategy and 15 others as control classes who were not taught by using QAR Strategy. In collecting data, the researchers provide tests twice, namely pre-test and post-test. Before conducting the post-test the, researcher gave three treatments in the experimental and control classes with different teaching. The instrument used in this study was 20 multiple choice questions about narrative texts that had been declared valid. The data obtained from pre-test and post-test were analyzed by using t-test. The result of the t-table was 1.76 and the result of the t-test was 2.690. It revealed that the t-test is bigger than the t-table (2.690&gt; 1.76). Therefore, the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted. In brief, QAR Relationship Strategy can be one of effective ways in teaching reading for tenth grade students of SMK Yadika Model Lubuk Linggau.
Considering Educators’ Perceptions of Ethics and Safety in Virtual Learning Environments (VLEs)

With the proliferation of students’ abilities to use technology, in particular virtual reality (VR) applications, teachers are experimenting with VR in virtual learning environments (VLE) to engage students; but clear ethics and safety guidelines are not available. Within the field of education additional research is needed to determine how VR is employed in VLEs. Additionally, what are the decision-making processes of educators for the VR programs chosen for classroom use based on ethics and student safety? Through qualitative inquiry, educators from K–12 and higher education shared their perceptions of ethics and safety concerns in VR applications for use in the classroom. We collected data from a sample of K–12 and higher education professionals from the Association for Educational Communications and Technology (AECT) membership, an educational organization emphasizing technology integration and learning. Data analysis from the individual interviews with open-ended questions revealed five primary themes and twelve sub-themes. Participants agreed that they need ethical and safety guidelines as they embark on new horizons that influence student well-being. The findings from this study may provide an in-depth understanding of the importance of developing ethics and safety guidelines for educational VR programs when used by students.
A forecasting of stock trading price using time series information based on big data

Big data is a large set of structured or unstructured data that can collect, store, manage, and analyze data with existing database management tools. And it means the technique of extracting value from these data and interpreting the results. Big data has three characteristics: The size of existing data and other data (volume), the speed of data generation (velocity), and the variety of information forms (variety). The time series data are obtained by collecting and recording the data generated in accordance with the flow of time. If the analysis of these time series data, found the characteristics of the data implies that feature helps to understand and analyze time series data. The concept of distance is the simplest and the most obvious in dealing with the similarities between objects. The commonly used and widely known method for measuring distance is the Euclidean distance. This study is the result of analyzing the similarity of stock price flow using 793,800 closing prices of 1,323 companies in Korea. Visual studio and Excel presented calculate the Euclidean distance using an analysis tool. We selected “000100” as a target domestic company and prepared for big data analysis. As a result of the analysis, the shortest Euclidean distance is the code “143860” company, and the calculated value is “11.147”. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.
The instigation of hatred: questions of legal evaluation and procedural issues

Considering the infringements upon the principle of equality caused by hate crimes, as well as the negative impact of such crimes not only on their victims but also on other persons within the same group of vulnerable people, the authors of this paper analyse hate speech as a criminally punishable act.The analysis of this issue is of essential importance as hate speech manifests on the internet, often via comments made online, a worrying issue as hate speech is therefore often tolerated.This article raises the question of the delimitation of hate speech from hate crime; the authors present an analytical overview of national and international case law, providing an insight into the process of distinguishing hate speech from a person's right to exercise their freedom of self-expression.A separate section covers the challenges that law enforcement authorities face when investigating incidents of hate speech online, where criminal activities often trespass the borders of a single state and their investigation requires tools of international cooperation to receive or transfer electronic evidence.
Distinguishing environment-induced non-Markovianity from subsystem dynamics

Quantum non-Markovianity modifies the environmental decoherence of a system. This situation is enriched in complex systems owing to interactions among subsystems. We consider the problem of distinguishing the multiple sources of non-Markovianity using a simple power spectrum technique, applied to a qubit interacting with another qubit via a Jaynes–Cummings-type Hamiltonian and simultaneously subjected to some well-known noise channels, such as the random telegraph noise and non-Markovian amplitude damping, which exhibit both Markovian as well as non-Markovian dynamics under different parameter ranges.
A Trust-Based Clustering Approach for Identifying Grey Sheep Users

In the context of recommender systems, users may have particular tastes and very unusual preferences comparing to the others. These users are called Grey Sheep Users. It is difficult to find similar users and relevant recommendations for such kind of users. In this work, we deal with trust values in learning users’ behaviours and relations between each other. A trust-based clustering approach is proposed for identifying Grey Sheep Users. The obtained cluster is then exploited to make recommendations for target unusual users.