Reviewerly/exHarmony huggingface dataset:
E-Learning and E-Libraries: A librarian's view to modern learning

Information and communication technology has brought a lot of changes in the education system. The new concept of E-learning allows learners to acquire knowledge using computers and the internet. These educational changes led to innovative changes in library services. The librarian has to move towards a more responsible role from information disseminator to educator. The library acts as a place with authenticated resources when compared to internet resources, because a librarian with his/her information retrieval skills will be able to search and acquire authenticated resources. Apart from teachers and learners in E-education, library/librarian play a very important role in maintaining high academic standards in E-Learning programs. To cater the E-learners one major shift in library service is having a Digital library. It must be emphasized that a library with its resources and services has been giving a unique experience to the E-Learning community and has a significant impact on teaching and learning.
Three Operator Splitting with a Nonconvex Loss Function

We consider the problem of minimizing the sum of three functions, one of which is nonconvex but differentiable, and the other two are convex but possibly nondifferentiable. We investigate the Three Operator Splitting method (TOS) of Davis & Yin (2017) with an aim to extend its theoretical guarantees for this nonconvex problem template. In particular, we prove convergence of TOS with nonasymptotic bounds on its nonstationarity and infeasibility errors. In contrast with the existing work on nonconvex TOS, our guarantees do not require additional smoothness assumptions on the terms comprising the objective; hence they cover instances of particular interest where the nondifferentiable terms are indicator functions. We also extend our results to a stochastic setting where we have access only to an unbiased estimator of the gradient. Finally, we illustrate the effectiveness of the proposed method through numerical experiments on quadratic assignment problems.
Ketangkasan Kepemimpinan dan Kasus Akuntansi dalam Kemampuan Kepemimpinan

In the industrial revolution of 4.0, it focused on digital economic patterns, big data, robotic, and automation, which affected the fields of management, finance, and business as well as accounting, accountants were required to prepare for that era by self - sustaining the latest information technology and the ability to analyze financial reports. This research paper aims to examine leadership agility and accounting cases in leadership abilities. Based on the results of this research paper, it is hoped that the infommatics (it) technology can use big cloud-based data as storage and management of artificial information systems (sia) that can help reduce human error, improve effectiveness and efficiency and accuracy of the information information accumulated accumulated data. Thus, the need for human resources (human resources) such as accounting services (kja) and the public accounting offices (kap) would get fewer and fewer jobs. In this context, especially those running the accounting profession must continue to update their knowledge and knowledge primarily on the standardized accounting (psak), itenational accounting standard board (iasb) and intersections financial inequality that become global bank for Creating financial statements for accounting for government small medium micro business (umkm); Sharia, etap (an entity without public accountability) anda standard-based financial accounting testimony (psak).
Formation of research competencies in the mathematical education of future lawyers

This study is intended to reveal the processes of formation of research competencies in the mathematical education of future lawyer. The process of forming research competencies is presented through the prism of factorization of academic disciplines. The article demonstrates the need to fragment the educational process into segments, taking into account the needs of the student and his personal characteristics. The study confirms the need for a competent approach to the research activities of future lawyers. The importance and necessity of updating mathematical education is given. The authors come to the conclusion that despite some progress in the quality of teaching mathematical disciplines, the methodology of education still needs new approaches and further updating, taking into account the digitalization of education.
DBMD Implementation for Big Data Mining in the CEASE Method

The fundamental tools to discover knowledge from big data was matrix composition. Here data generated by modern applications via cloud computing. However, it is still inefficient or infeasible to process very big data using such a method in a single machine or through virtual machines. Moreover, big data are often distributedly collected data from various data centers and stored on different machines via scheduling algorithms. Thus, such data generally bear strong heterogeneous noise. It is essential and useful to develop distributed matrix decomposition for big data analytics. Such a method should scale up well, model the heterogeneous noise, and address the communication issue in a distributed system. To this end, we propose a Distributed Bayesian Matrix Decomposition model (DBMD) for big data mining and clustering. Specifically, we adopt three strategies to implement the distributed computing including (1) the accelerated gradient descent, (2) the alternating direction method of multipliers (ADMM), and (3) the statistical inference. We investigate the theoretical convergence behaviors of these algorithms. To address the heterogeneity of the noise, we propose an optimal plug-in weighted average that reduces the variance of the estimation. Finally, comparison made between these algorithms to understand the result between them.
Histogram Transform Ensembles for Large-scale Regression

We propose a novel algorithm for large-scale regression problems named histogram transform ensembles (HTE), composed of random rotations, stretchings, and translations. First of all, we investigate the theoretical properties of HTE when the regression function lies in the H\"{o}lder space $C^{k,\alpha}$, $k \in \mathbb{N}_0$, $\alpha \in (0,1]$. In the case that $k=0, 1$, we adopt the constant regressors and develop the na\"{i}ve histogram transforms (NHT). Within the space $C^{0,\alpha}$, although almost optimal convergence rates can be derived for both single and ensemble NHT, we fail to show the benefits of ensembles over single estimators theoretically. In contrast, in the subspace $C^{1,\alpha}$, we prove that if $d \geq 2(1+\alpha)/\alpha$, the lower bound of the convergence rates for single NHT turns out to be worse than the upper bound of the convergence rates for ensemble NHT. In the other case when $k \geq 2$, the NHT may no longer be appropriate in predicting smoother regression functions. Instead, we apply kernel histogram transforms (KHT) equipped with smoother regressors such as support vector machines (SVMs), and it turns out that both single and ensemble KHT enjoy almost optimal convergence rates. Then we validate the above theoretical results by numerical experiments. On the one hand, simulations are conducted to elucidate that ensemble NHT outperform single NHT. On the other hand, the effects of bin sizes on accuracy of both NHT and KHT also accord with theoretical analysis. Last but not least, in the real-data experiments, comparisons between the ensemble KHT, equipped with adaptive histogram transforms, and other state-of-the-art large-scale regression estimators verify the effectiveness and accuracy of our algorithm.
외국인 유학생의 ‘그래프 분석하기’에 관한 분석 및 교육 방안

The purpose of this study is to examine the graph analysis data of foreign students, to search for errors, and to find guidelines for improving their writing skills. As a result of analyzing the problems in 125 articles written by 89 learners, learners had difficulties both in terms of understanding facts and production (fact-description and opinion-writing). In order to solve these problems and improve the ability of analyzing graphs in foreign students, first, the ‘understanding → production‘ process is necessary. Second, genre recognition for academic writing and thirdly, education for formulaic expression is critically needed. Fourth, the practice of graph analysis needs to be presented as a learner-centered approach. Fifthly, students should be taught how to enhance their ability to select and describe various kinds of graphs that match the nature of data.
Analysis of Students' Mathematical Representation Skills through Android Application-based Mathematics Learning

This research is motivated by the low mathematical representation skills of students. This is evidenced by the mathematics learning achievement of Indonesian students in TIMSS and PISA which has not moved from the bottom 10 ranks. In learning mathematics, there are still some obstacles, including students who are still difficult to read mathematical expressions, errors in principles and procedures, not being able to connect one concept to another and difficulty communicating mathematical ideas / ideas. Mathematics learning based on android applications is an alternative idea that can be a solution to the problems above. This study aims to examine: (1) How is the application of Android-based mathematics learning (2) How is the process of mathematical representation and student responses in the application of Android-based mathematics learning. (3) How to anticipate learning that must be perfected to optimize student representation skills. This research method uses qualitative methods using instruments in the form of teacher observation sheets, student observation sheets, interview sheets and student understanding tests. Penelitian ini dilatarbelakangi oleh masih rendahnya keterampilan representasi matematis siswa. Hal ini dibuktikan dengan prestasi belajar matematika siswa Indonesia pada TIMSS dan PISA masih belum beranjak dari 10Â peringkat terbawah. Di dalam pembelajaran matematika, masih ditemukan beberapa kendala diantaranya siswa masih sulit membaca ekspresi matematika, kesalahan prinsip dan prosedur, belum mampu menghubungkan antara satu konsep dengan konsep lainnya serta kesulitan dalam mengkomunikasikan gagasan/ide matematika. Pembelajaran matematika berbasis aplikasi android adalah salah satu gagasan alternatif yang dapat menjadi solusi permasalahan diatas. Penelitian ini bertujuan untuk mengkaji : (1) Bagaimanakah penerapan pembelajaran matematika berbasis Android(2) Bagaimanakah proses representasi matematis dan respon siswa dalam penerapan pembelajaran matematika berbasis Android. (3) Bagaimana antisipasi pembelajaran yang harus disempurnakan untuk mengoptimalkan keterampilan representasi siswa. Metode penelitian ini menggunakan metode kualitatif dengan menggunakan instrumen berupa lembar observasi guru, lembar observasi siswa, lembar wawancara dan tes pemahaman siswa.
Perspectivas recientes del análisis morfológico automatizado en eritrocitos

Introduction: Sickle-cell anemia is a genetic hereditary anomaly of hemoglobin characterized by red blood cells that lose their normal round morphology and acquire a sickle shape. Although no cure is so far available, several actions are in progress to improve the quality of life and medical care of patients. Objective: Become acquainted with aspects related to the automated morphological analysis of erythrocytes in recent years, particularly in the context of sickle-cell anemia, allowing to determine the current limitations, mainly in the use of automated tools for the clinical follow-up of sickle-cell anemia patients. Methods: A systematic review was conducted of the literature published in the years 2018, 2019, and two contributions from 2020, in three broad scope electronic databases: IEEEXplore, Google Scholar and SCOPUS. The documents were analyzed on the basis of specific questions to obtain general criteria about the situation of interest. Conclusions: The analysis conducted revealed a growing volume of research in this field, with results in several countries. Detailed examination of the studies led to identification of problems related to the evaluation metrics used, the algorithms for the analysis and processing of images, the use of medical criteria, the databases used and tools for the automated morphological analysis of erythrocytes.
A SURVEY OF HOMOMORPHIC ENCRYPTION OF DATA IN CLOUD FOR SECURE STORAGE

Cloud computing is the transportation of computing assistance and the opportunity of computer system assets for storing of data and calculating ability without the administration of the user. Against the publishing business and the technical applications of cloud, more probable users are still to join the cloud and the users of cloud can put their less confidential data in the cloud. Loss of security in the cloud is an important problem. The information will be encrypted and gathered in the storage of cloud .The problem here is the informations can be send to or from a cloud in encrypted mode, the servers that function the cloud will not any task on it. In this paper wereviewe the homomorphic encryption techniques, Advantages and disadvantages of various research papers.
Breast Cancer Prediction using CNN and Machine Learning Algorithms with Comparative Analysis

At present world, Breast cancer is a second main cause of cancer death in women after lung cancer. Breast cancer occurs when some breast cells begin to raise abnormally. It can arise in any portion of the Breast and it can be prevented if the treatment is started at the early stage of the Breast cancer. Breast cancer is a malignant tumour i.e. a collection of cancer cells arising from the cells of the breast Treatment of breast cancer relies on the cancer type and its stage. Mainly this paper focused on diagnosing the Breast cancer disease using various classification algorithm with the help of data mining tools. Data mining of the intelligent accumulated from previously disease detected patients opened up a new aspect of medical progression In this paper, the focus has been prediction of breast cancer using various machine learning algorithms and visualizing the performances of each algorithm. This paper makes use of a dataset that contains numerical values about the clump thickness, uniformity of the cell for prediction using Multi Layer Perceptron, K-NN, Random Forest, Logistic Regression. Moreover, this also uses a dataset of tissue images for the prediction using Convolution Neural Network. Later, the accuracies of each algorithm is calculated along with the precision, recall, f-score, ROC for each algorithm.
In Quest of the Sonic Self: Sound as Expression of the Performer’s Individuality

The present chapter offers some reflections on the importance of sound in the art of music performers, and specifically, the centrality of touch in the art of pianists. From the utmost intimacy or intensity of sound in live concerts to the relatively recent phenomenon of “sterile” sound in studio recordings—the search for the beauty and individuality of the tone is undoubtedly behind the scenes for every classical music pianist who must tackle not only their particular corporeal capabilities and their individual interpretive insights but also the capabilities of a particular instrument as well as the expectations and constraints of a particular performance tradition. Applying existing semiotic models to the analysis of a performer’s sound production as being the primary vehicle for attaining the sonic identity of an artist, this essay aims at discussing the intrinsically interactive relationship between a sound and the performer’s gestures as its source and causal agent. The chapter presents preliminary findings from the project “Perception of Expression in Musical Performance: Cross-Cultural Aspects and the Lithuanian Case”, No. S-MIP-19/49 / F16-503, funded by the Lithuanian Research Council.
KONJUNGSI BAHASA INDONESIA DALAM MAJALAH DARING JENDELA PENDIDIKAN DAN KEBUDAYAAN EDISI 45 JULI 2020

This research aims to describe the types of coordinative conjunctions and subordinate conjunctions in the online magazine  Jendela Pendidikan dan kebudayaan 45th July 2020.  The method used in this research is the qualitative descriptive method. This research's data is in the form of sentence excerpts containing coordinative conjunctions and subordinate conjunctions in an online magazine. The data source is a document from the 45th edition, July 2020 issue of  Jendela Pendidikan dan Kebudayaan  magazine. The data collection techniques used is documentation. Data analysis was conducted by using Chaer theory (2015) related to coordinative conjunctions and subordinate conjunctions. The results show nine types of coordinative conjunctions including (summation, selection, opposition, correction, affirmation, restriction, sequencing, equalization, and summing) and seven types of subordinate conjunctions (causation, requirements, objectives, highlighting, timing, engagement, and comparison). Based on the data analysis, the researcher concluded that the more dominant conjunction found was coordinative conjunction following the substance of the magazine profile that is communicative.
Technique of familiarizing of school students with the culture of of their native land

In this article, modern approaches are considered by the method of involving schoolchildren in the culture of their people. The development of the general cultural competence of schoolchildren through familiarity with the cultural heritage of their native people is of great value. In this regard, the development of general cultural competence through the involvement of children in the national culture becomes extremely relevant in pedagogical practice. The main purpose of the subject «National Culture of Yakutia» is: the introduction of students to the elements of oral folk art, national culture and art of the Yakuts, Russians, Evens, Evenks and other peoples who live in Yakutia; formation of interest and respect among schoolchildren for indigenous peoples, for their work, language and life in general; strengthening friendship between children of different nationalities, overcoming feelings of stiffness, misunderstanding, alienation between them. In the study of cultural subjects children have formation of genuine love and respect for their homeland, for the people's original culture, for folk art and art of their native land. The system of updating modern education orients teachers to actively search for new educational content and changes in learning priorities. This material summarizes the methods of introducing children to the traditional culture of the Sakha people. Various forms and methods of training and education were used to work with them, including the design methodology. The article reveals the importance of introducing children to the culture from an early age. A method of using didactic material in training sessions is also defined.
THE IMPLEMENTATION OF OVERCOMING ENGLISH SPEAKING ANXIETY STRATEGY BY TSIPLAKIDE (TSIPLAKIDEâ€™S STRATEGY) IN TEACHING SPEAKING AT THE TENTH GRADE OF SMKN 1 JAMBLANG

This study is aimed to know the effective of the implementation of Tsiplakideâ€™s strategy and studentsâ€™ responses of that strategy in teaching speaking at the tenth grade of SMKN 1 Jamblang. The data were collected quantitatively with pre-experimental design one group pretest-posttest. The population in this study amounted to 680 students from the first semester of the 10th grade and took 40 students from class X TSM 1 as the sample. To achieve the objectives of the study, the writer used test (pretest-posttest) and questionnaires (15 close questionnaires and 2 open-ended questionnaires) as the instruments. In the pre-test, the writer ordered the students to make a descriptive text about animal and tell it in front of class individually. However, in the post-test the writer ordered the students to make a descriptive text about hometown and tell the text in front if class with their pairs. The data of test analyzed by using t-test with the formula from McMillan. The writer found that the result of t-test is taccount (23.4) > ttable (2.022) with significant level 5% (0.05/0.975). Besides analyzed test, the writer also analyzed questionnaire (close and open-ended questionnaire) that adopted from six indicators of Tsiplakideâ€™s strategy and percentage it by using the formula from Louis Cohen. Close questionnaire divided into six indicators (project work, establishing a learning community and a supportive classroom atmosphere, teacher-student immediacy, providing indirect rather than direct correction, accepting the need for self-worth protection, and teacher immediacy). The writer found that there were 70% students whom answered that the implementation of Tsiplakideâ€™s strategy is effective and 30% students whom answered that the implementation of Tsiplakideâ€™s strategy is not effective in teaching speaking. The writer found also that there were 45% students whom preferred to implementing establishing a learning community and a supportive classroom atmosphere indicator than other indicators of Tsiplakideâ€™s strategy in teaching speaking. Based on the data above, it can be concluded that the implementation of Tsiplakideâ€™s strategy is effective in teaching speaking.
Evaluation Information System Using UTAUT (Case Study : Ums Vocational School)

This admissions study evaluates users and the use of models for the Vocational School information system at the Muhammadiyah University of Surakarta with the UTAUT model by Venkatesh (2003) which has been modified by adding the System Service and Information Quality variables. The respondents are 100 students. From the results of the F and T tests, it is concluded that the variables Performance Expectance, Effort Expectance, Social Influence, System Service and Information Quality have an influence on Behavioral Intention, but only Social Influence and System Service variables have a significant partial effect on Behavioral Intention. In addition, another result is the variable Facilitating Condition and Behaviural Intention simultaneously affect Behavioral Usage. Validity, reliability and assumptions of classical test data show value as a measure of this analysis.
Defining human-animal chimeras and hybrids: A comparison of legal systems and natural sciences

Abstract The article aims to present issues arising out of differences in the way that the terms chimera and hybrid are defined in legal systems and by natural sciences in the context of mixing human and animal DNA. The author analyses the different approaches to defining these terms used in various legal systems, dividing them into groups in light of conclusions reached from examining definitions used in natural sciences. The distinction is used to answer the question of which approach to definitions applied by legislators is the best way to handle the subject of human-animal organisms, given the need to balance their impact on medicine and the ethical concerns that arise.
Supporting the UN 2050 Net Zero goals by reading the earth better

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.