Reviewerly/exHarmony huggingface dataset:
Fostering achievement and retention in basic science using simulation and demonstration strategies

The study investigated the better strategy to use in fostering achievement and retention in Basic Science considering simulation and demonstration strategies. The study also compared the achievement as well as the retention of female and male students in basic science when exposed to simulation strategy. The research region is Kogi State's Ankpa Education Zone. A multistage sampling strategy was used to choose 120 Basic II students from four schools in the research region. The study used a quasi-experimental design. Data were analyzed using means and standard deviations, while ANCOVA was utilized to test the hypotheses. The study's results indicated that students taught using the simulation technique achieved considerably better mean achievement and retention scores in Basic Science than students taught using the demonstration strategy. Additionally, no significant difference in mean achievement scores between male and female students taught utilizing the simulation teaching technique was discovered. The research demonstrates a substantial difference in the mean retention scores of male and female students in Basic Science who are taught utilizing a simulation technique. Following the findings, it was suggested that Science teachers should use simulation strategy for the teaching of various topics in Basic Science to improve students’ achievement in Basic Science.
A study on Bank and IT nifty influence on Nifty 50

NIFTY 50 is one of the benchmark indices which is been used in India. The index is built upon by the companies which are represented from various sectors. Each sector is given separate weightage depending upon the representations from each sector. This paper focused on to identify Pairwise Granger Causality between NIFTY 50 Index, NIFTY Bank Index and NIFTY IT Index. The researcher also focused on to identify the influence of Bank NIFTY and IT NIFTY and NIFTY 50 Index. The research was carried out with a total of 532 observations (closing value of each index) of spanned across January 2018 – February 2020. The study revealed that Bank NIFTY Granger Cause IT NIFTY and not vice-versa. NIFTY 50 Index is highly influenced by Bank NIFTY IT NIFTY.
Essence and structure of the concept of “Project competence of future teachers in the university environment”

This article is devoted to the formation of the project competence of future teachers in a university environment. Important tasks are the requirements of the social order for the training of pedagogical personnel who have the skills of project activities: the teacher’s personal and professional readiness for creativity, ability to make non-standard decisions and interact with students. The purpose of the article is to consider the essence and structure of the concept of “project competence of future teachers in a university environment”. Research methods: generalization, analysis and synthesis of information, comparison. The scientific novelty of the research lies in the concretization of the essence and structure of the project competence of future teachers in a university environment, identification and detailed description of their content. The theoretical significance of the study lies in the fact that its results enrich the theory and methodology of professional education in the field of forming the project competence of future teachers; the practical significance lies in the effective implementation of the model for the formation of the project competence of future teachers in a university environment.
Creativity And Educational Motivation As Factors Of Academic Performance During The Pandemic

Educational motivation has always been a subject of interest for scientists.It is traditionally divided into intrinsic and extrinsic motivation.At the same time, internal motivation has a beneficial effect on academic performance, and external motivation has a negative effect.Modern research has established a link between learning motivation and student creativity.Because of this fact we suggested a link between learning success and creativity.In 2020, students' education in Russia was most often conducted in distance, so we decided to conduct a study of the relationship between educational motivation and creativity with academic performance in the context of the pandemic.It was found that in the context of distance learning during the pandemic, only the achievement motive (r=0,31; p<0,001), cognition motive (r= -0,36; p<0,001) and the external motive (r=0,39; p<0,001) are associated with academic performance.Creativity has no correlation with academic performance.However, when we made the regression model, the predictors of creativity were still included in it, which allowed us to present the possibility of establishing such a relationship after expanding the sample.
Introduction

Using a historical sketch, this chapter traces the development and application of numerical methods for predicting speciation in multicomponent chemical systems. Discussion begins with attempts to predict the thrust provided by rocket fuels and continues through the application of advanced algorithms today to solve problems of scientific, practical, and societal importance in geochemistry and related fields.
Automated synthesis of mobile robots of arbitrary orientation in the technological space

The research is devoted to the solution to the development of a methodology for the synthesis of mobile robots of arbitrary orientation in the technological space with systems for holding mobile robots on the moving surface to compensate for the gravitational and technological load. Mobile robots, also known in international publications as Climber Robot, are a new modification of mobile robots. The creation of this type of robotics is dictated by the need to perform&#x0D; technological operations in such areas as monitoring industrial facilities, erection and dismantling of building structures, repair and preventive maintenance of their components, maintenance of high-rise buildings of urban utilities, forest and park woodlands, etc. The operation of mobile robots acquires particular relevance in the extreme conditions of manmade disasters, which are dangerous and even unacceptable for a person's stay. The paper proposes designs of mobile robots, which are based on new principles of their synthesis. In the performed studies, in addition to the latest patented designs of mobile robots, a strategy of active synthesis of a new class of mobile robots is proposed.
Systematic Study of Video Mining with Its Applications

Effective methods for video indexing will be more valuable as digital video data continues to grow. It has been years since we’ve seen this level of new multimedia research. The content analysis aims to create high-level descriptions and annotations by treating language and facts as data. Data mining is a technique that seeks out previously unknown facts and patterns in large datasets. A video can include several different kinds of data, such as images, visuals, audio, text, and additional metadata. Thanks to its broad application in various disciplines, like security, education, medicine, research, sports, and entertainment, it is often used differently. Data mining aims to discover and articulate exciting patterns that are hidden in a lot of video footage. While video mining is still in its infancy, data mining is more mature. A considerable amount of research must be done to turn the mined video into usable content
The Language Impact of COVID-19 in the Spanish Online Press: A Critical Discourse Analysis of Hate Speech

Purpose: This research addresses the study of the main lexical patterns, in the form of insults, used in the Spanish digital press, that might fall within the category of so-called 'hate crimes', and aims to discover whether there are specific sections within the newspapers in question wherein incidences of 'hate crime' are particularly prevalent.Design/methodology/approach: As a corpus, we analyse the online versions of the four Spanish newspapers with the largest circulations in September 2021, according to the OJD (Spanish Audit Bureau of Circulation).The study is initially limited to one year, between March 14, 2020 (the date on which Spain declared a state of emergency over and March 14, 2021.Two tools are established as a starting point, Hatebase and Tus insultos más usados (Your most used insults), to analyse four of the most widely read national Spanish newspapers.Findings: The data produced show that Spanish newspapers do not incite hatred, but are merely mirrors of reality, with significant differences between the newspapers in terms of the number of insults collected.In addition, we noted no greater social tension during the pandemic, from the linguistic point of view, in the media analysed.
Self-explanatory neural models, part 2

Deep neural networks are becoming more and more popular due to their revolutionary success in diverse areas, such as computer vision, natural language processing, and speech recognition. However, the decision-making processes of these models are generally not interpretable to users. In various domains, such as healthcare, finance, or law, it is critical to know the reasons behind a decision made by an artificial intelligence system. Therefore, several directions for explaining neural models have recently been explored. In this abstract, We investigate two major directions for explaining deep neural networks. The first direction consists of feature-based post-hoc explanatory methods, that is, methods that aim to explain an already trained and fixed model (post-hoc), and that provide explanations in terms of input features, such as superpixels for images (feature-based). The second direction consists of self-explanatory neural models that generate medical imaging explanations, that is, models that have a built-in module that generates explanations for the predictions of the model.
Pengembangan E-modul Berbantuan Software Algebrator pada Materi Bilangan Berpangkat dan Bentuk Akar Kelas X SMK

The use of technology in education has a significant impact in educating and educating the nation's life, and can help create new innovations. One of the innovations created is the emergence of the concept of electronic learning (e-learning). E-learning is useful for students and teachers to get learning materials easily, one of which is by using e-module teaching materials. This study aims to determine the process and produce a product in the form of an e-module of teaching materials assisted by algebrator software on the material of rank numbers and root forms for class X SMK. This type of research is development using ADDIE floating model. The instrument used in this study is a non-test instrument, namely a validation questionnaire, and the data obtained from a validation questionnaire that has been filled out by the validator. The data will be analyzed descriptively quantitatively. Overall, the feasibility of the e-module assisted by algebrator software on the material of numbers and root forms obtained an average of 86.35%, so that the e-module assisted by algebrator software on the material of numbers and roots of class X SMK is interpreted as very valid to use.Â Kata Kunci: E-module, Algebrator Software, Exponents and Roots, Validity
QUERY EXPANSION RANKING PADA ANALISIS SENTIMEN MENGGUNAKAN KLASIFIKASI MULTINOMIAL NAÏVE BAYES (Studi Kasus : Ulasan Aplikasi Shopee pada Hari Belanja Online Nasional 2020)

Shopee is one of the e-commerce sites that has many users in Indonesia. Shopee provides various attractive promos on special days such as National Online Shopping Day on December 12. Shopee site was a complete error on December 12, 2020. Complaints and opinions of Shopee users were also shared through various media, one of them was Google Play Store. Sentiment analysis was used to see the user's response to the Shopee’s incident. Sentiment analysis results can be extracted to obtain information regarding positive or negative reviews from Shopee users. Sentiment analysis was performed using the Multinomial Naïve Bayes classification. the simplest method of probability classification, but it is sensitive to feature selection so that the amount of data is determined by the results of feature selection Query Expansion Ranking. The algorithm that has the highest accuracy and kappa statistic is the best algorithm in classifying Shopee’s users sentiment. The results showed that the classification performance using Multinomial Naïve Bayes with 80% of the features (terms) which have the highest Query Expansion Ranking value was obtained at the accuracy and kappa statistics values are 89% and 77.62%. This means that Multinomial Nave Bayes has a good performance in classifying reviews and the number of features used affects the performance results obtained.
Digital Mythology: A New Direction In The Study Of Social Myths

The article is devoted to the issue of the digital turn influence on the research of social myths and the study of the processes of their transformation into digital form.The digital turn is characterized by the use of digital technologies and social media in the design of myths and their study by digital humanities.Digital mythology is formed in the context of digital rotation as a scientific direction and a developing system of social digital myths reproduced in virtual space.Digital myths are created by the efforts of individuals who represent themselves in online communities, by the masses of Internet users who converge images of mass culture and myths, using digital technologies, distributing them to social media.New media allows any Internet user to become a mythologist, the creator of mythological narratives that serve as constructs of everyday reality.The condition for creating digital myths is the visualization of mythicides and meanings of mass culture, in which news, cultural or political messages are laced.Internet users package digital myths into information messages distributed across the network, broadcasting with them their emotional assessment of reality and their view of the world.Digital myths are embodied in selfbranding, the phenomenon of post-truth and fakes, Internet memes, computer games, etc.Digital mythology has become an integral part of the digital world.
The Effectiveness of Scaffolding Model in Teaching Reading at Senior High Schools

This research is aimed at identifying the students’ ability in reading by using scaffolding teaching model. This is an experimental research that was carried out at senior high school. There were three senior high schools in Padang that became the location of the research, namely SMAN 1, SMAN 7 and SMAN 8 Padang. The population for this research consisted of the students studying at grade X at the three schools respectively. Meanwhile, the sample was taken by using cluster random sampling technique. The whole number of sample was 192 students, namely, 64 students studying at each school. The research instrument used in this research was reading test consisting of 30 items. After carrying the research for about three months the researcher found the result as follows. The findings of the research indicated that the students’ reading achievement taught by scaffolding model was better than those who were taught by conventional model. To prove it, the researcher used t-test formula. The result showed that scaffolding model gave significant effect towards the students reading ability compared to the conventional one.
Multimodal Data Evaluation for Classification Problems

Social media data is currently the main input to a wide variety of research works in many knowledge fields. This kind of data is generally multimodal, i.e., it contains different modalities of information such as text, images, video or audio, mainly. To deal with multimodal data to tackle a specific task could be very difficult. One of the main challenges is to find useful representations of the data, capable of capturing the subtle information that the users who generate that information provided, or even the way they use it. In this paper, we analysed the usage of two modalities of data, images, and text, both in a separate way and by combining them to address two classification problems: meme's classification and user profiling. For images, we use a textual semantic representation by using a pre-trained model of image captioning. Later, a text classifier based on optimal lexical representations was used to build a classification model. Interesting findings were found in the usage of these two modalities of data, and the pros and cons of using them to solve the two classification problems are also discussed.
Faulting and Folding Signals in Seismic Data

A novel numerical model simulates folding in Earth’s crust throughout the earthquake cycle.
Permutation polynomials over Galois fields of characteristic

In this paper, a class of permutation polynomial known as o-polynomial over Galois fields of characteristic 2 was studied. A necessary and sufficients condition for a monomial 𝑥2k to be an o-polynomial over F2t is given and two results obtained by Gupta and Sharma (2016) were deduced.&#x0D;
Content Filtering of Social Media Sites Using Machine Learning Techniques

To build a social network or social relations between people, we use social networking platforms like Facebook, Twitter, apps, etc. Using this media, users can share their views and opinions about a particular thing. Many people use their media for personal interests, entertainment, the market stocks, or business purposes. Nowadays, user security is the major concern for social networking sites. Online social networks give a little bit of support regarding content filtering. In this article, we proposed a system that provides security regarding malicious content that is posted on their social networking sites. To filter the content that might be unwanted messages, labeled images, or vulgar images, we proposed three level architecture. The user can use the auto-blocking facility as well.
Library Service Innovation in The Department of Archives and Library of Bandung District

The Bandung Regency Archives and Libraries Service is one of the regional public libraries of Bandung Regency which has service innovations during the COVID-19 pandemic. The Bandung Regency Archives and Library Service provides a mobile user interface service named i-Sabilulungan. The purpose of this study was to determine the usefulness of the i-Sabilulungan application as a service innovation during the COVID-19 pandemic at the Bandung Regency Archives and Library Service. The research method used in this research is descriptive qualitative research method with data collection techniques through observation and interviews. In this study, the informants were librarians managing the i-Sabilulungan mobile application. The results of this study reveal that i-Sabilulungan as a library service innovation for the Bandung Regency Archives and Libraries Service has fulfilled an important element in the application of the mobile user interface application. The i-Sabilulungan application has fulfilled 10 elements of the application of the mobile user interface application which consists of several elements including connectivity, simplicity, directional, informative, interactivity, user friendliness, comprehensiveness (completeness), continuity (sustainable), personalization (personalization) and internal elements (internal).
Organizational technics for developing the leadership potential of students in self-government

Organizational technics for developing the leadership potential of students in self-government has been a topic of debate in recent times. The article aims to describe ways to allow students to develop creative initiatives in self-government, responsibility and professionalism, independence and social activity. Trends have been defined for improving pedagogical forms and methods of work with students. Develop leadership potential in student self-governance. Improvement of research, cultural, educational, athletic, information and communication skills within student union, which allows young people to develop their professional competencies. Leadership skills require active and professional self-management and self-improvement. A communication culture develops as a result of student autonomy and the manifestation of leadership potential. The authors argue that students, as active participants in the university’s public life, develop their leadership potential by participating in the formation of traditions. Quality preparation of students for a future professional career is possible only if the leadership potential of professional responsibility is developed.&#x0D; &#x0D; Keywords: communication culture; free will; leadership potential; self-government; self-improvement; оrganisational technics&#x0D;
Video-Based Rope Skipping Repetition Counting with ResNet Model

Video Repetition Counting is one of the important research areas in computer vision. It focuses on estimating the number of repeating actions. In this paper, we propose a method for video-based rope skipping repetition counting that combines the ResNet Model and a counting algorithm. Each frame in the given video is first classified into two categories: upward and downward, describing its current motion status. Then the classification sequence of the video is processed by a statistical counting algorithm to obtain the final repetition number. The experiments on real-world videos show the efficiency of our model.
Corrigendum: Mobile money and regional financial integration: Evidence from sub-Saharan Africa

The Journal of Economic and Financial Sciences promotes research in auditing, corporate finance, corporate governance, economics, econometrics, financial accounting, financial management, financial planning, investment management, management accounting and taxation in the emerging market field.
Implementasi dan Optimalisasi Voice Order Internet Protocol (VOIP) Menggunakan NDLC Untuk Komunikasi Antar Lantai

VoIP as an internet service is commonly called ip telephone. Internet infrastructure is needed in order to use or provide VoIP services. Some offices use local communication to communicate within the office environment itself, but cannot connect to other offices because it is only a local phone. This research aims to implement the Voice Over Internet Protocol (VoIP) by utilizing wireles local area network (WLAN) facilities by building a VoIP server. The development model used in this research is a user interface that is built alone to be applied on Android phones. This user interface is as a face-to-face tool for fellow VoIP users. The study was conducted at the West Bogor sub-district office with 23 respondents as a sample of application trial subjects. The results of the analysis showed 78.66% of the application eligibility level, showing the application or system made was considered good.
Computational Grounding: An Overview of Common Ground Applications in Conversational Agents

This work reports on the literature on grounding in conversational agents, as one of the pragmatic aspects adopted to ensure a better communicative efficiency in dialogue systems.The paper starts with a general description of the theory of grounding.As far as its computational implications are concerned, grounding phenomena are firstly framed in the common grounding processes described in terms of grounding acts.Secondly, they are considered in the argumentation-related framework within which already grounded information are processed.Open issues and application gaps are finally highlighted.