Reviewerly/exHarmony huggingface dataset:
Estrategias metodológicas para el razonamiento lógico en el área de Matemática: Cuasi experimento

The objective of this investigative work was to establish methodological strategies to strengthen learning in logical reasoning for Tenth Year students. The methodology was quantitative, with a quasi-experimental design and a descriptive type of study. The sample consisted of 31 students from the Tenth Parallel Year “B” of the “Sergio Nunez” Educational Unit, a pre-test, an intervention proposal and later a post-test were applied to them. As a first result, an average of 7.03 (AAR) was obtained in the pre-test, later in the post-test an average of 8.36 (AAR) was obtained, that is, the proposal to apply a guide with methodological strategies contributed significantly with 13.3% in the development of logical reasoning in students. Finally, it is recommended to apply strategies that are necessary for the improvement in the teaching-learning process and increase several alternative solutions, either group or individual, and in such a way achieve significant learning.
New Zealand. Ministry of Education: He meka! He meka! [Packet of educational cards. 2019]

A deck of cards made up of questions, images and facts. It is designed to share with family and friends, to prompt conversations about history, identity and the future. The questions span four broad themes: Me; Me and my family; Me and my community; Me and my country.Each card has an image on the verso, not necessarily related to the questions on the face, but chosen to provoke thought and discussion.All cards are in both English and Māori.The title card refers, for more information, to the website at tuiaeducation.org.nz Quantity: 1 box(es) of 52 cards. Physical Description: Packet of 52 cards, in box 90 x 60 x 22 mm.
Share Stories Using Collaborative filtering

As recommender systems have such a broad scope, we’ll focus on a key technique called collaborative filtering, which filters information by leveraging the system’s interactions and data from other users. Here, Share stories use collaborative filtering to filter information based on the interactions and data gathered from other users. It’s built on the notion that people who agree on a given item’s value are more likely to agree on it again in the future. The idea is simple: when we’re looking for a new movie to watch, we frequently turn to our friends for recommendations. Naturally, we put more faith in recommendations from friends who have similar likes to us. The bulk of collaborative filtering systems employ the so-called similarity index-based methodology. A group of users who are similar to the current user is chosen using the neighborhood- based strategy. Hence in share stories, users can post, like, read and comment on blogs.
Subject guides: Scandinavian Studies: Study skills

This guide provides a general introduction to Library and information resources for the study of Search tools, websites and gateways for Scandinavian studies.
LibGuides: Government Publications: Local Issues

Government Publications is a collection of materials put on deposit by the federal and state government for all citizens use free of charge and located on the Third Floor of the James E. Brooks Library. We encourage you to browse our collection whenever
Fundamentals of the Didactic Transposition of Fractional Calculation for its incorporation in the Syllabus of the Professional School of Mathematics inf the Faculty of Physical and Mathematical Sciences by the National Trujillo University

The objective of the research was to apply the methodology of the Didactic Transposition in the Fractional Calculation, to be implemented as a new curricular experience of the syllabus of the professional school of Mathematics in the Faculty of Physical and Mathematical Sciences by the National Trujillo University.The research method was descriptive applying the technique, documentary analysis, that allowed to analyze the state of the art of Fractional Calculation as a scientific knowledge to be considered a knowledge to teach through the application of the Didactic Transposition.As a result, it was established that Fractional Calculation is a sustainable scientific mathematical theory to be taught and learned in the undergraduate of the professional school of Mathematics, therefore implemented in the corresponding curriculum, because the student can establish analogies between the Classic calculus and fractional calculus, improving their autonomous work and a research culture, required in the discharge profile of the graduate in mathematics and also by the multiple applications that this theory has in the various areas of scientific and technological knowledge.
Capitulo IV: Styles and Learning Strategies, a holistic model in initial teacher education

At present, diversity and respect for the individualities and particularities of the human being is an issue that continues to gain relevance in all fields of life; In teaching, for example, one of the topics that has been extensively investigated is precisely the fact of responding to the needs of each student without resorting to segregation or sectorization of learning. It is widely known that each person has a preferential learning style, which entails using different strategies to tackle a task or activity, and it is essentially this aspect that leads to making differences in the learning process. That is why teachers must know the theory of learning styles in order to adapt their pedagogical practices to these particularities in the classroom and improve the quality of the educational process in every way.
IMPLEMENTATION OF DECISION TREE FOR STUDENT DATA PROCESSING

SD Negeri 106184 Sekip is one of the public elementary schools in Lubuk Pakam, Deli Serdang Regency. The graduation rate is one of the main problems in an elementary school. The higher the graduation rate of students at an educational institution, the more it will raise the popularity of the school. Likewise, if there is a decrease in the graduation rate, the school will experience a decline in popularity, thus allowing a decrease in applicants / prospective students to enter the school in the following years.This of course raises concerns on the school side. Data mining is intended to provide a solution so that the school knows the most dominant factors affecting the graduation rate. For this reason, the authors are interested in raising this problem into a thesis research entitled Application of Data Mining for student data processing using the Decision Tree Study Case SDN 106184 Sekip method.The purpose of this study was to determine which factors were most dominant in influencing a student's passing rate, so that in the future, it is hoped that the school will be able to increase student graduation rates in the following years.
A Study of Usability Analysis on 'Low-Budget' Mobile Game Development

This study is an analytical case study focusing on ‘low-budget’ mobile game development centered on both short-term development and small-scale collaboration. This study set up the assumption of four months as development period limited by three developers along with step by step productional documentation. In the previous study, we set up the responsibilities of the development personnels to analyze the effective process of the practical production. Furthermore, the study analyzed the usability verification of both advantages and disadvantages for conducting the quantitative survey with developer's feedbacks. The study is to provide the essential guideline for ‘low-budget’ development group with effective pipeline.
An Algorithm for Finding the Difficulties of an Employee in a Factory by Using Enhanced Fuzzy Cognitive Maps and Submonoid Group

In India we have many factories which are most important for our economy there also important for the international economy also. In this paper we are studying about the various difficulties of an employee from different factories using enhanced fuzzy cognitive map and group theory. A questionnaire was conducted with different types of age group persons and different type of post. By analysing the data there are lot of difficulties faced by the employees which are emotional and some are uncertain. at last a decision was taken to fit those data by using enhanced fuzzy cognitive map andsub monoid group theory. The enhanced fuzzy cognitive map will be a best tool when it come to an unsupervised data and the sub monoid concept in group theory will be efficient in classifying the data.
CONTEMPORARY JOURNALISM BETWEEN THE TRADITIONAL FORMAT AND THE IMPERATIVE OF CHANGE

The article is devoted to the consideration of the features of contemporary journalism. Understanding the dynamics of the development of journalism makes it possible to outline a multifaceted picture of constantly changing media in the context of informational progress and the formation of a new media reality. On the basis of establishing a number of essential criteria, a possible classification of journalism is proposed, the prerequisites for the formation and context of the transformations taking place in the media sphere are revealed. The emphasis is on clarifying the relationship between continuity and innovation in this area, the potential of journalism is revealed in the manifestation of traditional forms, enriched by the emergence of new forms and paradigms of the media.
English Learning Platform Student Behavior Analysis in Buying Courses by Using Data Mining Techniques

English Learning Platform is an online English learning platform which utilizes subtitled YouTube video as learning platform. This learning platform is said to be personalized, by recommending next material based on how well one performs for each exam given per video. If students are able to learn successfully, they may have a tendency to buy more courses. Our goal is to use data mining techniques to research on the relationship about number of courses that students purchase with their learning behavior. After comparing 5 methods by using 4 machine learning algorithm we found that student score attributes has stronger impact to determine the number of packages that bought by students and the login frequency doesn’t affect the number of purchased courses. The neural network algorithm gives the best accuracy which around 90% compare to another algorithm there are decision tree, random forest, and k-means.
Modified Geometrical Method For Visual Lip Extraction From Color Images

Lip Reading or Speech recognition is a visual way of communicating. It depends on watching the speaker's mouth; Especially his lips to understand the letters and words of the speaker. Through the visual image (the form of the expression of the mouth) and the movement of the lips, visual recognition of spoken letters, words, and sentences is made; Gestures and expressions on the face. the position of the mouth and its extracted features help to understand the visual speech more clearly. Researchers are always trying to find the new methods to increase the efficiency of the lip reading systems. for this reason, This paper presents a lip localization. based face detection &features extraction strategy to segment mouth region from input video frames. we have used RGB &HSV color model along with modified channel factor and then applying more edge detection techniques and morphological operations to be a new one of the visual speech recognition tools.
Provide a Web Recommender System to Improve Search Quality Using DBSCAN Clustering Algorithms and SVM Machine Tracking Method

Today, due to the increasing growth of web pages, the existence of a system that can extract the information needed by users from the huge amount of data available on the web seems necessary. To do this, we need to customize the systems in question. One of the best ways to customize your system is to use recommendation systems. Recommender systems are systems that can provide appropriate suggestions to the user by obtaining limited information from the user. Recommender systems can predict a user's future requests and then generate a list of the user's favorite pages. In other words, an accurate index of user behavior can be obtained and a page can be predicted that the user will select in the next move, which can solve the problem of cold start system and improve the quality of the search. In this article, a new method is proposed to improve the recommender systems in the field of web, which uses the DBSCAN clustering algorithm for data clustering, which achieves a 99% efficiency score. Then, using the Page rank algorithm, the user's favorite pages are weighed. Then, using the SVM method, we categorize the data and give the user a hybrid recommender system to generate a forecast, which will eventually provide the recommender with a list of pages that the user may be interested in. Evaluation of the research results showed that using this proposed method can achieve a score of 95% in the call section and a 99% score in the accuracy section, which proves that this recommending system can achieve up to 90%. Identify user pages correctly and greatly reduce the weaknesses of other previous systems.
How Can Personality Influence Perception on Security of Context-Aware Applications?

[Context and Motivation] Our lives are being transformed by context-aware software applications with important social, environmental, and economic implications. [Question/Problem] Experts recognized that quality attributes, e.g. security, are the cornerstone to get healthy social implications of these applications. However, do end-users (service consumers) perceive these attributes as so important? [Methodology] To answer this question, we designed a survey, to understand how end-users perceive security of context-aware software applications and how the users’ personality traits might influence their perceptions. To this end, we did a web-based survey that embeds two animated-demonstration videos in order to present i) the functionality of a context-aware mobile app, and ii) some vulnerabilities of the mobile app. It involved 48 subjects divided in two groups: subjects with software engineering (SE) background (Group A) and subjects without any SE background (Group B). [Results] Our study found that the importance of confidentiality and integrity is more clearly perceived by subjects with SE backgrounds (Group A). Accountability is more difficult to be perceived by subjects. And this difficulty can be even more pronounced for subjects without any SE background (Group B). Our findings suggest that importance preferences on security are influenced by personality types. For instance, open-minded people have a higher propensity to perceive the importance of confidentiality and integrity. Whilst, people with a high level of agreeableness hold quite different perceptions regarding the importance of authenticity and accountability. Analyzing the level of association between personality and the perceived importance on security, we found that the importance perceptions on confidentiality are influenced by the personality of subjects from Group B. And, the changes (positive an negative) in the importance perception on confidentiality are very strongly influenced by personality, even more so by the personality of subjects from Group B.
ENGLISH CROSSWORD PUZZLE GAME APPLICATION FOR CHILDREN BASED ON WEBSITE

English is the most language widely used in communicating internationally and it will be easier for children learn it from an early age. However, generally children have difficulty in learning a foreign language, especially English. Therefore, a fun learning method is needed. The method which is most favoured by children is by applying learning English using a game method. This research aims to analyse the impact of using of website-based education application for improving English towards children. By using waterfall method, this research was conducted to find out the results.The game created will run on an Android-based smartphone. The result exhibited that Website-based education application is able to be used to help children learn English. Another result also  show how English education application can help support the memory of children who are still very much sensitive to what is seen. With the help of pictures, children will learn quickly. Keywords: Children, games, websites
International programs for assessing the quality of education-a factor in increasing the scientific literacy of students

The article discusses the development of natural science literacy of schoolchildren through the use of international programs for assessing the quality of education (piza, timss, pirls). Based on this study, the methodology for creating biology assignments and its importance is described.
Understanding Conflict Incidence in Africa: The Role of Governance Institutions (1998–2016)

The conflict propensity of African countries is said to have its roots in a wide set of political, social and economic issues that have been affecting severely the well-being of their populations (Ostby, Nordas & Rod, 2009; Fearon, 2010; Stewart, 2008). Over the last decades, following the relative deprivation focus first proposed by Davies (1962) and Gurr (1968), various studies (Fearon, 2010; Hegre & Nygard, 2015; Asongu & Kodila-Tedika, 2016) have attempted to find a causal link between governance and conflict measures since the importance of the former to explain similar countries’ differences in terms of conflict incidence has been lately recognized. In this vein, this paper’s contribution is twofold. First, it retrieves country-year conflict information from the Social Conflict Analysis Database (SCAD) and from the Worldwide Governance Indicators (WGI) database elaborated by Kaufmann and Kraay (2019) from the World Bank in order to study the African case for the period 1998-2016. Second, it seeks to find the effect of good governance on both the number of conflicts and the number of deaths in conflicts. Three quantitative methods are employed: ordinary least squares regressions; panel data regressions – to control for unobservable factors invariant over time–, and – in order to allow the establishment of a causal link between the above-mentioned variables and to address endogeneity problems – an instrumental variables approach. Results show that governance quality has a negative and significant effect on conflict incidence – as Fearon (2010), Hegre & Nygard (2015) and Asongu & Kodila-Tedika (2016) found. Similar results – despite some particularities – are found when the analysis is performed considering different types of conflict and governance quality sub-components. Thereby, policy addressing the issue may not only take into account socio-economic problems but public institutions’ quality, as it is proved to be – both theoretically and empirically – essential to solve it.
Learning Recurrent Neural Net Models of Nonlinear Systems

We consider the following learning problem: Given sample pairs of input and output signals generated by an unknown nonlinear system (which is not assumed to be causal or time-invariant), we wish to find a continuous-time recurrent neural net with hyperbolic tangent activation function that approximately reproduces the underlying i/o behavior with high confidence. Leveraging earlier work concerned with matching output derivatives up to a given finite order, we reformulate the learning problem in familiar system-theoretic language and derive quantitative guarantees on the sup-norm risk of the learned model in terms of the number of neurons, the sample size, the number of derivatives being matched, and the regularity properties of the inputs, the outputs, and the unknown i/o map.
An analysis of english four skills in “when english rings a bell” english textbook based on alan cunningsworth criteria

This research aimed to describe types and the content of skills found in When English Rings a Bell English textbook based on Alan Cunningsworth criteria. In carrying out this research, the researcher used a qualitative approach with a content analysis method. Data collected by carrying out an observation checklist, interview, and documentation. The result showed that: (1) English four skills (listening, speaking, reading, and writing) found in the English textbook When English Rings a Bell for the seventh grade of Junior High Schools published by the Ministry of Education and Culture, and (2) English skills such as listening, speaking, reading and writing show the results of a checklist based on Alan Cunningsworth found among them on page 4 as listening skills, page 101 as speaking skills, page 105 as reading skills, and page 137 as of writing skills.
Investigating the Socio-Economic Consequences of Artificial Intelligence: A Qualitative Research

It is without any doubt that artificial intelligence (AI) is set to radically disrupt humankind in various dimensions. The global economy is one of the dimensions in which AI is about to have an unsettling effect. Furthermore, AI is expected to change our societal structures in an unprecedented way. It might even change how humanity views concepts such as labour, education, and governance. However, there are conflicting predictions about those effects. Some scholars predict positive socio-economic effects. Conversely, other scholars remain fairly pessimistic. This research attempts to reconcile the gap between AI hype and AI reality by offering insight on AI’s potential impact on issues such as employment and economic growth and to highlight the ethical issues that already raise concerns for the future. This article determines the dimensions in which AI is about to have the most disruptive effect in a socioeconomic context. Semi-structured interviews with seasoned industry experts, academicians, and futurists with extensive knowledge of AI have been carried out for this purpose.
The curve<i>Y<sup>n</sup></i>=<i>X<sup>ℓ</sup></i>(<i>X<sup>m</sup></i>+ 1) over finite fields II

Abstract Let F be the finite field of order q 2 . In this paper we continue the study in [24], [23], [22] of F -maximal curves defined by equations of type <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"><m:mrow><m:msup><m:mi>y</m:mi><m:mi>n</m:mi></m:msup><m:mo>=</m:mo><m:msup><m:mi>x</m:mi><m:mi>ℓ</m:mi></m:msup><m:mrow><m:mo>(</m:mo><m:mrow><m:msup><m:mi>x</m:mi><m:mi>m</m:mi></m:msup><m:mo>+</m:mo><m:mn>1</m:mn></m:mrow><m:mo>)</m:mo></m:mrow><m:mo>.</m:mo></m:mrow></m:math> ${{y}^{n}}={{x}^{\ell }}\left( {{x}^{m}}+1 \right).$ New results are obtained via certain subcovers of the nonsingular model of <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"><m:mrow><m:msup><m:mi>v</m:mi><m:mi>N</m:mi></m:msup><m:mo>=</m:mo><m:msup><m:mi>u</m:mi><m:mrow><m:msup><m:mi>t</m:mi><m:mn>2</m:mn></m:msup></m:mrow></m:msup><m:mo>−</m:mo><m:mi>u</m:mi></m:mrow></m:math> ${{v}^{N}}={{u}^{{{t}^{2}}}}-u$ where q = t α , α ≥ 3 is odd and N = ( t α + 1)/( t + 1). We observe that the case α = 3 is closely related to the Giulietti–Korchmáros curve.