Reviewerly/exHarmony huggingface dataset:
Landry Signé. African Development, African Transformation: How Institutions Shape Development Strategy. Cambridge: Cambridge University Press, 2018. xxvii + 190 pp. List of Figures. List of Tables. List of Abbreviations. Index. $89.99. Cloth. ISBN: 978-1108470575.

Landry Signé. African Development, African Transformation: How Institutions Shape Development Strategy. Cambridge: Cambridge University Press, 2018. xxvii + 190 pp. List of Figures. List of Tables. List of Abbreviations. Index. $89.99. Cloth. ISBN: 978-1108470575. - Volume 63 Issue 4
Cognitive And Creative Potential Of The Textbook In The Pedagogical Hermeneutics Paradigm

The article is devoted to the problem of creation of textbooks with high cognitive and creative potential in interrelation with the corresponding potential of the student, which creates conditions for the replacement of the installation for the intuitive construction of the textbook by the installation for the development of methods of mastering the content, providing individualization of the development of intellectual abilities of students.The aim of the article is to present a new approach to textbook creation with a modified structure that includes technologies for working out theoretical texts and independent work presented in text and interactive forms using author's computer programs.It is based on the following approaches: the systemic one, which implements the connection between the textbook content, the genesis of scientific theory, the model of knowledge consistency; the hermeneutic one, which aims at creating technologies for understanding scientific texts through reflexive mental activity.It is shown that the development of the latter is conditioned by the specifics of the textbook with the dominating forms of independent work and reflexive activity.The concept of creating an innovative textbook model with high cognitive and creative potential is substantiated.The article presents the indicators of students' creative work on the creation of technologies and thematic resources for e-learning, performed on the basis of an innovative model of the textbook.An innovative textbook model can provide a new quality of the educational process as it creates conditions for the development of students' intellectual abilities.
A Proficient Hybrid Framework for Image Retrieval

In this work, an image retrieval system based on three main factors is constructed. The proposed system at first chooses relevant pictures from an enormous information base utilizing colour moment data. Accordingly, canny edge recognition and local binary pattern and strategies are utilized to remove the texture plus edge separately, as of the uncertainty and resultant pictures of the underlying phase of the system. Afterward, the chi-square distance between the red-green and the blue colour channels of the query and the main image are calculated. Then these two (the LBP pattern and the edge feature extracted from the canny edge detection and by chi-square method) data about these two highlights compared to the uncertainty and chosen pictures are determined and consolidated, are then arranged and the nearest ‘n' images are presented. Two datasets, Wang and the Corel databases, are used in this work. The results shown herein are obtained using the Wang dataset. The Wang dataset contains 1,000 images and Corel contains 10,000 images.
Weeding the Web

Content available on LibGuides in the academic library context would benefit from being viewed and curated/edited as individual and distinct collections. Viewing LibGuides through this lens provides academic libraries with a new perspective for resolving the well-documented user experience issues that afflict this mode of information delivery. Novel considerations that emerge from this approach include: a) the value of formalizing a collection acquisition policy for individual LibGuides; b) the importance of creating content responsive to emerging research directions; and c) an emphasis on the need for weeding and deselection processes. Although the author anticipates especial resistance to the idea that content on LibGuides would benefit from regular weeding, from the stance that virtual content takes up minimal space, this paper argues that the prioritization of high-quality, curated content in the era of the attention economy is a practice of prime importance.
Three Different Features Based Metric To Assess Image Quality Blindly

Abstract When creating image quality assessment metric (IQA) no confirmation all distortion types are available. Non-specific distortion blind/no-reference (NR) IQA algorithms mostly need prior knowledge about anticipated distortions. This paper introduce a generic and distortion unaware (DU) approach for IQA with No Reference (NR). The approach uses three different measuring features which are initiated from the gist of natural scenes (NS) using Log-derivatives of the parameters; a general Gaussian distribution model, two sharpness functions, and Weibull distribution. All features were analyzed and co mpared together to examine their performance. When calibrating the proposed features performance on LIVE database, experiments show they have good contribution to the state of the art IQA and they outperform the popular full-reference peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) methods. Also they show sharpness features are the best when assess both prediction monotonicity and predict accuracy evaluation among the three features categories. Besides they show asymmetric generalized Gaussian distribution (AGGD) based features have the best correlation with differential mean opinion score.
Secure and Fast Encryption Routine+: Evaluation by Software Application

Nowadays, the Internet era and its components are based on the collection, exchange, and storage of information which represent a sever security concern.Many cipher algorithms have been developed, evaluated, and implemented to increase the protection of data for various applications.The most known strategy of data securing has been the implementation of symmetrical key encryption standards.Secrecy, robustness, reliability, and software/ hardware implementation, are among the most important properties of good cipher standard.In this work, text, data and image encryption/decryption are performed by a MATLAB software implementation of the symmetric key block standard realized using the Secure and Fast Encryption Routine (SAFER+) algorithm with 128 key length option.The results show good performances in encryption/ decryption speed through a set of original procedures to simplify the achievement of nonlinear functions adopted by SAFER+ structure.
THE EFFECT OF READING INTEREST IN CLASS IV LIBRARY SD NEGERI 7 PARDUGUL LEARNING YEAR 2019/2020

Based on the results of data analysis and hypothesis testing and discussion, the following conclusions can be drawn: This study aims to determine the effect of reading interest in the library on learning outcomes in class IV SD Negeri 7 Pardugul in the 2019/2020 Learning Year. The study population was all students totaling 50 students. The sample in this study amounted to 50 students. This research uses a quantitative method of survey type. The method used in this research is quantitative method. Type to test the hypothesis using the hypothesis technique, the hypothesis technique used is the hypothesis t test. The results showed that there was a significant influence between reading interest in the library on the learning outcomes of fourth grade students of SD Negeri 7 Pardugul in the 2019/2020 learning year. This is evident from the value of tcount&gt; ttable, namely 3.204&gt; 1.675. So thus Ho is accepted, that is, there is a significant influence between reading interest in the library and student learning outcomes. From the results of this study it can be concluded that reading interest in the library has an influence on student learning outcomes. Keywords: Influence, Reading Interest, Learning Outcomes
PENGARUH PELAYANAN PERPUSTAKAAN TERHADAP MINAT BACA SISWA SD

This study aims to determine the effect of library services on elementary school students 'reading interest and how its significance. This research method uses quantitative methods with the "product moment" correlation type. The population in this study were all students of SDN Teja Barat 1 Pamekasan which are 197 students totally. The sample in this study was 60 students taken by random sampling. The size of sample is 60 students. Data collection was collected by questionnaires and interviews. Analysis of research data used "product moment" correlation analysis, which library services as the independent variable and elementary school students' reading interest as the dependent variable.The results of the study showed that: (1) There is an effect of library services on students' reading interest. It showed from the results of data analysis, that the value of "r" count 0.640 is greater than "r" table of product moment, weather in the 5% confidence interval = 0.254 or 1% = 0.330. (2) The library services influences the students' reading interest a significance contribution, that is 40.96% and the remaining 59.04% was influenced by other factors. So the increase of library services, also increasing the students' reading interest.
PENINGKATAN HASIL BELAJAR MATERI PECAHAN DENGAN MODEL PEMBELAJARAN PAKEM SISWA SEKOLAH DASAR

Learning success is created if students want to be serious in learning, active, creative in solving math problems. The focus of the study was the learning process by improving the mathematics learning system on fractions (multiplication of fractions) with the PAKEM approach. By improving the learning system in the classroom, it can lead to success in increasing students' abilities actively, independently, and creatively. So that researchers commit to strive for improvement of the quality of learning. The research used by researchers was Classroom Action Research (PTK). The subjects of this classroom action research were students of grade V SD Mangunrejo 2, totaling 20 students. The results of the research cycle I and cycle II increased from 74,90% to 80,20%.
Image Modification using Text with GANs

This paper works towards finding an effective solution for the task of image feature manipulation using natural language commands.The authors aim to modify the relevant features of an image using a natural language description of the target image, such that the irrelevant features are not modified.Majority of the research in this domain focuses on generating completely new images using natural language description, and the few methodologies which attempt manipulation of existing images super in a number of aspects such as modification of irrelevant features or the aesthetic quality of the generated image.The authors propose an architecture that combines the best components of existing techniques to create an effective system to solve the stated task.The proposed architecture generates images at a high resolution to maintain the aesthetic quality of the image and ensures that the irrelevant content of the original image is not affected.The authors present a qualitative and quantitative analysis of the system as compared to the existing baselines and demonstrate the system for a relevant application such as virtual trial of clothes.
Named Entity Recognition in Chemical Patents using Ensemble of Contextual Language Models.

Chemical patent documents describe a broad range of applications holding key reaction and compound information, such as chemical structure, reaction formulas, and molecular properties. These informational entities should be first identified in text passages to be utilized in downstream tasks. Text mining provides means to extract relevant information from chemical patents through information extraction techniques. As part of the Information Extraction task of the Cheminformatics Elsevier Melbourne University challenge, in this work we study the effectiveness of contextualized language models to extract reaction information in chemical patents. We assess transformer architectures trained on a generic and specialised corpora to propose a new ensemble model. Our best model, based on a majority ensemble approach, achieves an exact F1-score of 92.30% and a relaxed F1-score of 96.24%. The results show that ensemble of contextualized language models can provide an effective method to extract information from chemical patents.
The Effect of Mind Mapping Techniques on Writing Skill of Procedure Text for Students Class VII MTsN Model Sungai Penuh, Jambi Province, Indonesia

This study aims to explain the influence of mind mapping techniques on writing procedure text skills. Theories that become the reference in this study are from Harsianti and Penguin, which are about the text of the procedure, the Deporter's opinion on the Mind Mapping Technique. This study uses a quasi-experimental method with factorial design. The populations in this study were all students of class VII MTsN Model Sungai Penuh, with the amount of the students are 122 students, with a total sample of 61 students consisting of 31 students of class VII.A and 30 students of class VII.B. The sampling technique is random sampling. Based on the analysis of the data obtained by the results of research that is mind mapping techniques are appropriate for learning in writing procedures for text writing procedures for students of class VII MTsN Model Sungai Penuh because with these techniques can improve students' skills in imagination and concentration as evidenced by the average value of class students the experiment was higher than the control class and statistical analysis showed F-count 108.9 &gt; F table 20.60.
Securing Data by Using Tree Traversal Techniques

Now-a-days, securing data is a typical scenario and secure world is inviting hackers proportional to the technology.Thus, Security must be provided to data in all sides by encoding data at sender and releasing in to network, on other side at receiver, the data must be decoded with the provided credentials.In the proposed system of this paper, we are introducing binary tree traversals to secure data as a ciphering technique.The data may be extracted from a tree through numerous traversal algorithms.
The Effect of Edmodo-Based E-Learning toward Participation and Understanding of Elementary School Teacher Candidate

This study aims to determine the effect of Edmodo-based E-learning on the participation and understanding of elementary school teacher candidate in science 1 biology courses. This study used a quasi-experimental method using a non-equivalent control group design. The sample of this study was 49 elementary school teacher candidates in semester 2 of PGRI Yogyakarta University. The data collection technique used a participatory questionnaire instrument and a pretest-posttest comprehension test. The results of the Independent Sample t-Test show that the value of Sig. for the participation variable of 0.004 &lt;0.05 and the Sig. for the understanding variable of 0.005 &lt;0.05. While, the MANOVA test results show the value of Sig. for the participation variable of 0.004 &lt;0.05 and the Sig. for the understanding variable of 0.005 &lt;0.05. This means that there are differences in the increase in participation and understanding of elementary school teacher candidate after using Edmodo-based E-learning. In addition, the application of Edmodo-based E-learning also has a positive effect on the participation and understanding of elementary school teacher candidate on science topics. Edmodo-based e-learning makes elementary school teacher candidates more active in participating and easier in understanding science lecture material 1. Keywords: edmodo-based e-learning, participation of elementary school teacher candidate, natural science understanding. Abstrak Penelitian ini bertujuan untuk mengetahui pengaruh E-learning berbasis Edmodo terhadap partisipasi dan pemahaman calon guru Sekolah Dasar pada mata kuliah IPA 1 materi biologi. Penelitian ini menggunakan metode eksperimen semu dengan menggunakan desain penelitian non-equivalent control group design . Sampel penelitian ini adalah 49 calon guru Sekolah Dasar semester 2 Universitas PGRI Yogyakarta. Teknik pengumpulan data menggunakan instrumen angket partisipasi dan tes pemahaman melalui pretest-posttest. Hasil Uji Independent Sample t-Test menunjukkan nilai Sig. untuk variabel partisipasi sebesar 0.004 &lt; 0.05 dan nilai Sig. untuk variabel pemahaman sebesar 0.005 &lt; 0.05. Sedangkan hasil uji MANOVA menunjukkan nilai Sig. untuk variabel partisipasi sebesar 0.004 &lt; 0.05 dan nilai Sig. untuk variabel pemahaman sebesar 0.005 &lt; 0.05. Hal ini berarti bahwa terdapat perbedaan peningkatan partisipasi dan pemahaman calon guru Sekolah Dasar setelah menggunakan E-learning berbasis Edmodo. Selain itu, penerapan E-learning berbasis Edmodo juga berpengaruh positif terhadap partisipasi dan pemahaman calon guru Sekolah Dasar pada topik IPA. E-learning berbasis Edmodo menjadikan calon guru Sekolah Dasar lebih aktif dalam berpartisipasi dan lebih mudah dalam memahami materi perkuliahan IPA 1. Kata kunci: e-learning berbasis edmodo, partisipasi calon guru SD, pemahaman IPA.
PENERAPAN TEKNOLOGI DALAM MEMAKSIMALKAN PENJUALAN TEH DI INDONESIA

Tea is one of the leading agricultural commodities in Indonesia as the seventh largest tea producer in the world. Today's drinks are still consumed by many people as a refreshing drink or medicine. An infusion made by brewing leaves, shoots, or leaf stems dried from the Camellia sinensis plant with hot water. The purpose of this study is to build a sales application that is able to maximize tea sales so as to preserve tea production in the agricultural sector in Indonesia. In building the system the method of approach used is the waterfall method. Data collection methods by interview, observation and library methods. Using PIECES analysis and flowchart design, data Flow Diagrams and Entity Relationship Diagrams using java script, html, and php technology. The results of this research are making a tea-selling application on mobile-based yellow gambyong tea that can make it easier for people to make product purchases in the internet era and make it easier for tea businesses to manage and develop their businesses.
Understanding the Problem by Modeling the Subject Area (with the Goal of Creating a Task Generator)

This article presents a theoretical analysis of the problem of comprehending educational material in mathematics on the example of a problem that was proposed by NN Pangina as a “touchstone” for studying the interaction of a teacher and a student in organizing the latter’s independent work (from ed.: Pangina’s article is published in this issue of the journal). The article discusses a methodological approach based on changing the pedagogical goal in relation to the task. Instead of starting with a search for a solution to the problem with specific data and focusing the student’s attention on “building a route” from the conditions of the problem to what needs to be found, it is proposed to build models that allow generating new problems similar to the one given. This formulation of the problem changes the psychological attitude of the student, relieves him of responsibility for the success of solving a specific problem. At the same time, prompted pushed by the teacher, the student builds various simulation models that can be easily programmed and turned into problem generators, thereby forming a mathematical model of the problem area in which the problem was set. The proposed approach is based on the activity approach proposed in the works of AN Leontiev in the 70s of the last century [1], the idea of bringing out difficult-to-understand intellectual actions outside in order to use the mechanism of internalization [1, 2] and the works of Simour Papert related to the use of computer artifacts as intermediaries for comprehending new mathematical ideas [3, 4].
DEVELOPMENT OF THE COMPETENCE OF PERSONAL IMPROVEMENT IN THE FOREIGN LANGUAGE TRAINING OF FUTURE EXPERTS IN TOURISM

Actualizing the importance of socio-cultural sustainability as a factor of sustainable development of society under the conditions of deepening contradictions of the globalized world determines the social order for purposeful formation of the personality that is ready for meaningful activity and permanent growth. Professionally oriented foreign language training facilitates the development of the competence of personal improvement, which primarily consists of the relevant knowledge and ability to carry out meaningful activities, in particular moral self-regulation. It also implies the experience of such activity and certain authority over such life strategy ̶ the strategy of permanent personal development as a prerequisite for successful professional activity and socio-cultural sustainability. The core of this competence is self-cognition based on reflection. It is also concerned with positive thinking and creativity. The key role in these processes belongs to language, which is the tool of thought, the basic mechanism of acquiring knowledge about the objective world. Learning the language, the person masters the basic forms and laws of thinking. Language allows people to go beyond their immediate sensory perception and makes up the element of their self-consciousness, which is highly important from the perspective of personal improvement. Professionally oriented foreign language training is a powerful factor of enhancing students’ cognitive abilities, in particular their self-consciousness. The development of the competence of personal improvement in the process of foreign language training is primarily due to the acceleration of cognitive processes in learning, which is ensured by the intensive use of language as a means of cognition and communication.
PENERAPAN ALGORITMA NAÏVE BAYES DALAM PREDIKSI PENERIMAAN BANTUAN PROGRAM KELUARGA HARAPAN (PKH) Studi Kasus: Desa Selur, Kecamatan Ngrayun, Kabupaten Ponorogo

PKH is one of the programs for providing conditional social assistance to Poor Families which are designated as recipient families, PKH benefits with the aim of relieving the economy of those who are less fortunate. However, in its implementation, especially in the community, this program has not run well and optimally due to the unevenness of the PKH program. This is of course very influential on the welfare of the community where the programs that should be received by the poor have not been well realized. The concept of data mining can be used to provide solutions to problems at hand, the Naïve Bayes Method is a method which can predict an opportunity from previous experience. The variables used include; Disability, children under five, school children and the elderly, where this variable is a requirement of a family as PKH recipients with additional criteria classified as a poor family with variables of occupation, income and residence status. Then the variable data is processed in the R language to determine the prediction results on the eligibility of PKH recipient families. The results of this study can be used as benchmarks and help in the optimization of the PKH program, from the experiments conducted, the results obtained were two households with id Test24 and Test44 which had the status of a recipient that was predicted to be non- recipient, with an Accuracy of 96%, 100% Sensitivity, and Specivicity 92%.