Reviewerly/exHarmony huggingface dataset:
PV/T solar collector performance evaluation: generation of fuzzy rules by using weighted subsethood-based algorithm

Abstract A photovoltaic/thermal solar collector operates efficiently if the surrounding conditions are in a favorable state; where the factors or parameters such as solar radiation, ambient temperature, photovoltaic collector temperature and air mass flow rates are taken into consideration to ensure the performance of the collector achieves optimum level. Dependency on surrounding conditions limited the width of analysis that could be done on the factors affecting the performance of the solar collector. This study aims to generate fuzzy rules for solar collector performance evaluation. Experiments on the performance of a single passage air photovoltaic/thermal solar collector have been carried out, and a set of membership functions representing all significant factors has been generated. Then fuzzy rules of forecasting were developed using a weighted subsethood-based algorithm to predict the efficiency of the photovoltaic/thermal solar collector. In this fuzzy time series application, the concept of fuzzy rule-based systems was embedded to generate fuzzy if-then rules. The results showed that the PV/T solar collector performance with changes in parameters could be predicted based on the fuzzy rules that have been generated, and thus further could be used to determine the optimum factors conditions required to achieve optimum collector performance without having to carry out experiments.
Enhancement of Component Images of Multichannel Data by Denoising with Reference

Multichannel (multispectral, hyperspectral) remote sensing data may include junk component images which have quality considerably worse than other components. This can be due to intensive noise or low dynamic range of information component in such junk channels (sub-bands). Such component images are sometimes ignored (not used in further processing or analysis). Meanwhile, they can be subject to pre-filtering (denoising) in order to enhance them. To do this effectively, we propose to exploit the so-called reference images – component images that have relatively high quality and that are characterized by high similarity with respect to the image subject to pre-filtering. Within the framework of this general idea, we study several particular problems: how to choose component images that can be exploited as references, what transformations of reference images can be used, and how to perform the denoising. It is shown that one can employ as references component images of the same resolution as junk ones as well as component images of a better resolution. Not only one but also two references can be exploited. Different filters can be used after decorrelation. Enhancement of filtered images according to different quality criteria is provided. Examples of denoising for real-life multichannel images are given demonstrating high efficiency of the proposed approach.
MODELS AND RESOURCES FOR TEACHING STEM-DISCIPLINES IN THE CONTEXT OF THE COVID-19 PANDEMIC

The development and improvement of human skills and capabilities through education are key drivers of economic, social success and personal well-being. This study highlights the need for training STEM specialists in educational institutions. An analysis of the conceptual framework and regulatory support for the implementation of STEM-education in Ukraine. The lack of a unified strategy for the digital transformation of domestic higher education institutions and the launch of new STEM-oriented educational programs has been identified. The peculiarities of teaching STEM-disciplines related to the need to use equipment and specialized software are described. An overview of approaches and examples of implementation of STEM-disciplines according to the model of traditional, blended and distance learning at Ternopil National Pedagogical University named after Volodymyr Hnatiuk has been given. The need to modify the existing models of teaching STEM-disciplines for the implementation of quality education in the conditions of COVID-19 is substantiated. Examples of STEM-education resources in universities in Great Britain, Spain and Ukraine are given. A model of behavior of teachers of STEM-disciplines under conditions of uncertainty about the model of teaching organization has been developed. The proposed model can serve as a basis for analyzing the needs and capabilities of the educational institution to implement effective teaching of STEM-disciplines in conditions of uncertainty, in particular, caused by COVID-19, costs and alternative ways of organizing the educational process. Prospects for further research are identified.
SJSU Research Guides: Reading List by Leganto: Roll Over List for the Next Semester

Create Reading Lists using Leganto. Leganto integrates electronic articles, streaming media, digitized content, physical materials, and more into a single list so students can access all their course materials in one place.
La pandemia en San Gregorio Atlapulco: Causas preexistentes e iniciativas locales

Se presenta un estudio de la pandemia detonada por el coronavirus SARS-CoV-2 en San Gregorio Atlapulco (SGA), pueblo originario rururbano localizado al sur de la Ciudad de Mexico. Los objetivos son identificar y analizar las caracteristicas socioeconomicas y culturales preexistentes que contribuyeron a que este pueblo formara parte de la lista de las colonias de la Zona Metropolitana de la Ciudad de Mexico con mayor cantidad de contagios durante varios meses;asi como las respuestas locales a las condiciones impuestas por la situacion de cuarentena en la pandemia. La investigacion es cualitativa y se obtuvo informacion empirica a partir de la revision hemerografica de inicios de la pandemia hasta el momento actual, y por medio de entrevistas virtuales a actores locales originarios de SGA, realizadas en octubre y noviembre de 2020.Alternate abstract:A study of the pandemic detonated by the SARS-CoV-2 coronavirus in San Gregorio Atlapulco, an original and semi-rural town located South of Mexico City is presented. The objectives are to identify and analyze the pre-existing socio-economic and cultural characteristics that have contributed and placed this town as part of the list of the neighborhoods of the Metropolitan Area of Mexico City with the highest number of infections for several months;as well as local responses to the conditions imposed by the quarantine situation due to the pandemic. The research is qualitative and empirical information has been collected through the hemerographic review since the beginning of the pandemic up to the present moment and through virtual interviews with local actors natives from SGA, carried out in October and November 2020.
Computing and Displaying Data

NumPy arrays are the workhorses of numerics in Python, extending it by remarkable numerical capabilities. For example, they can be used just like simple variables to evaluate an arithmetic expression for many different values without programming a loop. In the first section, we combine the power of NumPy and Astropy and compute the positions of objects on the celestial sphere. Moreover, we introduce Matplotlib to produce plots from array data. Further applications are shown in the context of Kepler’s laws and tidal forces, for example, printing formatted tables and plotting vector maps.
Αναγνώριση συναισθήματος από ομιλία με χρήση συνελικτικού νευρωνικού δικτύου και μηχανισμού προσοχής

This dissertation deals with issues of deep learning. More specifically, it deals with Speech Emotion Recognition through the implementation of a Deep Convolutional Neural Network. We begin by introducing basic deep learning techniques, such as Deep Belief Networks, which are an extension of the Restricted Boltzmann Machine (RBM), Recurrent Neural Networks, that came from the Feedforward Neural Networks, Convolutional Neural Networks, also based on the Feedforward Neural Networks, as well as Auto Encoders. Next, we present the categories of Emotional models, which are distinguished in the Categorical model, the Wheel model and the Dimensional Model, for which Dimensions are considered the Valence (which is interpreted as pleasure-dissatisfaction of an emotion), the Arousal (degree of Stimulation) and the Dominance-Submissiveness of the expressed emotion. Next, we list some widely used Datasets that use some of the above Emotion models. In the central part of this dissertation we emphasize the Convolutional Neural Networks for Speech Emotion Recognition. To highlight their contribution to Speech Emotion Recognition, 6 different deep learning techniques are presented, a Deep Belief Network implementation, a simple deep neural network implementation a deep LSTM network implementation, a deep LSTM network implementation with with the addition of an attention mechanism, a Convolutional neural network implementation and finally a Convolutional neural network implementation with the addition of an attention mechanism. It is also important to mention that Dropout and Batch Normalization techniques are used to improve the generalization ability (prevention of overfitting) of the models as well as to speed up the training process. Finally, we present our conclusions based on the results from the graphs and metrics that were extracted.
Explanation: A core value in archaeological research

Inferring proper meaning from the bulk of material evidence archaeologists come across on the field has been a major challenge over the years in most archaeological research. Bearing in mind that these evidence cannot speak for themselves, archaeologists have to speak for them. This paper presents the need to adopt various ways of knowing for proper explanation of past phases by the archaeologist.
Designing Principles of Federated Search Engine

Federated search engines used in e-journal local area to assemble virtual common interface for e-journal search. Federated search gives access to the secret information by giving a single interface that associates with various source-specific search engines. Federated search interfaces different search engines into a single, virtual search system. Most earlier paper of federated search focused on choosing search engines that have the most important substance, yet ignored the recovery adequacy of individual Search engines.
ANALYSIS OF BLENDED LEARNING METHODS IN INCREASING STUDENT LEARNING MOTIVATION IN ELEMENTARY SCHOOL

ABSTRACTAlong with the development of science and technology requires teachers to make an innovation in teaching and learning activities, one of which is by using strategies and learning models. The purpose of this study is to describe the use of blended learning methods in improving students' learning motivation. The method used is the library research approach through library resources related to blended learning methods in improving learning motivation as well as various other literature sources. Then analyzed and presented the findings of the data objectively. The results showed that Blended Learning is a learning that combines conventional learning, self-learning and online selflearning. In improving learning motivation with Blended Learning method in elementary school can be done with several steps, namely 1) preparing the syllabus and Learning Program Plan (RPP), 2) making a draft assessment 3) determining suitable methods, and 4) implementing the learning process that takes place effectively. With this, the teaching and learning process can take place well and produce an educated generation, who are able to compete and answer future challenges, as well as excel.Keywords: Method, Blended Learning, Motivational Learning.
MENINGKATKAN KEMAMPUAN MEMBACA PERMULAAN ANAK KELOMPOK B MELALUI MEDIA AUDIO VISUAL

Early reading ability on grup B in TK Terpadu Santosa Cilegon is still low. It’s related with methods and learning media are less interesting and varied. The use of audio visual media is expected to improve reading ability on group B. This study aims to (1) find out the process of applying audio visual media within improving early reading ability of children group B in TK Terpadu Santosa Cilegon-Banten and to (2) know the improvement early reading ability of children group B in TK Terpadu Santosa Cilegon-Banten through audio visual media. The method used in this research is action research, consists of 2 cycles, cycle I as much as 8 times action and cycle II as much as 4 times action. The subjects of the study were children of group B in TK Terpadu Santosa Cilegon-Banten with a total of 12 children aged 5-6 years, consisting of 5 boys and 7 girls. Techniques of data collection in this study are observation, field notes, interview notes and documentation. Technique of data analysis is done by descriptively qualitative and quantitative. The success criterion of action in this research is if the average score of the class in early reading ability reaches 60%. The results showed that: (1) the process implementation of audio visual media includes 3 stage. The stages are, the preparatory stage, implementation stage, and evaluation stages; (2) at result of the first cycle more increased than pre action was 26% to 36%, and in second cycle increased to 67%. Based on the results obtained data it can be concluded that with the application of audio visual media can improve early reading ability of children in group B at TK Terpadu Santosa, Cilegon-Banten.
Offensive language dataset of Croatian, English and Slovenian comments FRENK 1.0

The FRENK dataset consists of comments to Facebook posts (news articles) of mainstream media outlets from Croatia, Great Britain, and Slovenia, on the topics of migrants and LGBT. The dataset contains whole discussion threads. Each comment is annotated by the type of socially unacceptable discourse (e.g., inappropriate, offensive, violent speech) and its target (e.g., migrants/LGBT, commenters, media). The annotation schema in its details is described in https://arxiv.org/pdf/1906.02045.pdf. Usernames in the metadata are pseudo-anonymised and removed from the comments.The data in each language (Croatian (hr), English (en), Slovenian (sl), and topic (migrants, LGBT) is divided into a training and a testing portion. The training and testing data consist of separate discussion threads, i.e., there is no cross-discussion-thread contamination between training and testing data. The sizes of the splits are the following: Croatian, migrants: 4356 training comments, 978 testing comments; Croatian LGBT: 4494 training comments, 1142 comments; English, migrants: 4540 training comments, 1285 testing comments; English, LGBT: 4819 training comments, 1017 testing comments; Slovenian, migrants: 5145 training comments, 1277 testing comments; Slovenian, LGBT: 2842 training comments, 900 testing comments.
In the development of creative abilities of preschool children design technology

The article provides brief information about the creative word. Ways of development of creative abilities of children of preschool age by means of technology of designing are considered. The goals and importance of the development of children’s creative abilities in the child’s life are defined. The definition of design technology was issued. On the effectiveness of the use of design technology in the development of creative abilities. The features of the design technology and the importance of the development of children’s creativity are considered. In the system of preschool education there are areas of creativity within the framework of the state compulsory standard of preschool education, indicating the types of projects. Ways of application of creative educational activity are presented. In preschool age, educational activities in drawing, music, modeling, modeling affects the influence of the child on the formation of creative and intellectual abilities and psychologically developed personality. The General tasks of creative development are considered.
Case Study : Social Media Portfolio / Nur Syarafina Mohammad Saifuzzaman

Style Handsocks by Syarafina offer the best quality of handsocks in the market online which you will hardly find in the market. I ensure you that my main focus will be in quality of the products. I will make sure that customers get the best quality from me and I serve customers as V.I.P.Style Handsocks customers are all women of different ages, especially student and worker women who buy handsock at an affordable price. Style Handsocks are aimed at students because I have the service of delivering our product to the college and home of our customers. I strive to be one of the top and best handsocks supplier out there. Throughout UiTM Machang, the Style Handsock business started in September 2019. I started the capital business with RM100. Other than that, I start this business because many students study at UiTM Machang and it is easy for me to sell the product because of the many students who need a handsocks to use when they go to class. The marketing strategy of Syarafina's Style Handsocks is to emphasize the quality and price of the products. Style Handsocks offer an affordable price because there are a lot of students at UiTM Machang. So, I am developing a marketing strategy that gives an attraction to buying a Style Handsocks product. I also create Facebook page to expand my business through social media and learn how to post the product at Facebook whether teaser poster, soft sell and hard sell.
Pelaksanaan Gerakan Literasi Digital Melalui Program Alkapay (E-Money) Di Sdit Muhammadiyah Al-Kautsar Gumpang

This study aims to determine 1) the implementation of the digital literacy movement in the AlkaPay (e-money) program at SDIT Muhammadiyah Al-Kautsar Gumpang, 2) to describe the advantages of implementing the digital literacy movement through the AlkaPay (e-money) program at SDIT Muhammadiyah Al-Kautsar Gumpang , 3) Describe the obstacles to implementing the digital literacy movement through the AlkaPay (e-money) program at SDIT Muhammadiyah Al-Kautsar Gumpang. The type of research that the researcher will use is a descriptive study with a qualitative approach. The presence of researchers in this qualitative research, the researcher acts as an instrument and as a research data collector. Data collection techniques in this study using interview and documentation techniques. The validity of the data used by researchers in this study is technical triangulation. The data analysis technique used in this study was the researcher used a qualitative descriptive research analysis. Based on the results of the study, it can be concluded that, the implementation of the digital literacy movement through the AlkaPay (e-money) program at SDIT Muhammadiyah Al-Kautsar Gumpang is carried out by holding outreach, the advantages of implementing the digital literacy movement through the AlkaPay program are increasing students 'knowledge and increasing students' understanding of the use of AlkaPay cards, and the obstacles to implementing the digital literacy movement through the AlkaPay program, low grade students have a lack of understanding.
The DSM Directive 2 Years On: Do Things Ever Get Easier?

In 2019, the European Parliament and the Council adopted Directive 2019/790 on copyright and related rights in the Digital Single Market, an ambitious piece of legislation supported by multiple rationales, including to (1) guarantee a high level of protection; (2) streamline rights clearance; (3) create a level playing field for the exploitation of protected content; (4) remedy interpretative uncertainties; and (5) guarantee a well-functioning and fair marketplace for protected content. 7 June 2021 is – or rather: would be – the deadline for the national transpositions of the DSM Directive. What will happen?
LibGuides: Databases & Research Papers: The Research Paper: Citing Sources

A guide to aid in the process of writing a research paper particularly in regard to utilizing database resources: selecting a topic, starting a search, narrowing a search, and citing sources in a final paper with a focus on the databases: Ebsco Discovery
UPAYA MENINGKATKAN HASIL BELAJAR BAHASA INDONESIA PADA MATERI TEKS IKLAN TERHADAP PENGGUNAAN MEDIA GAMBAR FOTOGRAFI KELAS VIII-4 SMP NEGERI 7 MEDAN TAHUN PEMBELAJARAN 2017-2018

The purpose of this study was to increase student interest in learning advertising text and to find out student learning outcomes in advertising text using photographic image media. The method used by the author in this research is quantitative method. The data collection techniques used in the implementation of this study were observation, and student learning outcomes tests on advertising texts in Indonesian subjects. Based on the research results, the ability to understand ad text has reached 75% (the number of students who have excellent abilities with good abilities, namely 42.42 + 33.33 = 75%). Meanwhile, 27.27% were students with sufficient abilities. the result is 75% already have the ability to understand ad text, it can be concluded that the ability to understand students' ad text is good.
Towards Legal Ontology for Education

Semantic Web using ontology-based knowledge model has been largely applied to e-Learning systems. The use of domain ontologies leverages the transformation of the learning contents of serving human to machine understandable formats. The ontology-based approach could further support e-Learning activities related to legal compliances, such as legally validate learners’ profiles or protecting intellectual rights in e-Learning courses. This study proposes a novel ontological e-Learning framework including the legal knowledge model, the e-Learning knowledge model and the common knowledge model. A customized ontology engineering method is conducted to construct the preliminary version of these specified knowledge models, while a Semantic Web Rule Language (SWRL) rule base is constructed to capture knowledge of both laws and domain experts. FOCA based validation is introduced to confirm the feasibility of this proposed framework. Improving the FOCA score of the legal core ontology and enriching both the ontological knowledge model and its SWRL rule base are topics that can be explored in future studies.
Risks Factors that Influence a Data Center Infrastructure through the TEMAC method

The paper presents an analysis of the risk factors that influence a data center infrastructure, by means of the Theory of Meta-Analytic Consolidated Approach (TEMAC). After bibliometric research in the Web of Science and Scopus repositories, 96 relevant results were found. For the analysis of co-authorship, co-citation and bibliographic coupling, heat maps were produced to facilitate the visualization of relevant authors and works. As for the analysis of the frequency of the keywords in the selected articles, terms with high frequency in the two databases were extracted, such as: security; network; risk; energy; management; virtual and service. As a result, 11 highly relevant articles were obtained that presented 10 risk factors that influence the evaluation according to the unique identifiers of 3 functions and 8 categories of the NIST Cybersecurity Framework, being: i) governance; ii) supply chain risk management; iii) identity management and access control; iv) data security; v) information protection processes and procedures; vi) protective technology; vii) anomalies and incidents; viii) continuous security monitoring.