Reviewerly/exHarmony huggingface dataset:
Digital empowerment and development of Mathematical competences in the training of the teacher of Mathematics

The present work was oriented to reveal the level of digital empowerment and the development of mathematical competences in the initial formation of the mathematics teacher at the Hermilio Valdizán University. The objective of the study was to evaluate the implications of the use of digital resources: mathematical software and interactive pages in the teaching-learning process of the topics of mathematics and the development of reasoning, problem solving and argumentation skills, communication and argumentation. The research was framed in the qualitative methodology based on the techniques of participant observation, in-depth interview and evaluation rubric. The data collected through the interview was subjected to a process of codification, categorization and construction of semantic networks with the help of the Atlas.ti, while the data from the observation process and the rubric are presented and interpreted statistically in (frequencies and percentages). From the most significant findings it can be seen that most of the teachers in initial training have a considerable digital empowerment, expressed in the use of free software, collaboration resources, social networks and interactive pages for the solution of mathematical problems in algebraic form and graph. On the other hand, more than 85% state that their mathematical competences were developed optimally with the use of technology. It is concluded that digital empowerment is fundamental for the learning of mathematics and the development of reasoning skills, problem solving, modeling and mathematical communication during the initial training of the mathematics teacher.
PENINGKATKAN HASIL BELAJAR BAHASA INDONESIA MELALUI MODEL PEMBELAJARAN INTERAKTIF PADA SISWA KELAS III SDN 05 KABUPATEN MUKOMUKO

In the cycle of learning improvement studies conducted in class III SD Negeri 05 Mukomuko City by using interactive learning models on Indonesian subjects, teachers did not optimize learning so that some students were still found to be less active in learning. While in cycle I, these deficiencies were overcome by improving learning from prasiklus with the implementation of maximum interactive learning. In prasiklus, there are still students who have not been involved in learning, so in the first cycle, the teacher tries to get students involved by optimizing group discussions and group presentations. Based on the results of improved learning that has been carried out on Indonesian Language class III subjects at SD Negeri 05 Kota Mukomuko, it has been shown to show progress. This can be seen from the increase in student learning outcomes at each meeting. So that it can be concluded that it has succeeded in improving the learning outcomes of Indonesian students in grade III SD Negeri 05 Kota Mukomuko with a cooperative learning model
Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining

At the present time web contains many indistinguishable documents.Much effort made towards in investigates mechanism with identical detection algorithms, still the retrieved web documents with outmodedlink.In this proposed system, we are successfully identifying and minimize the redundant information and like link in web documents.We introduce the correct graph theory based KTMIN-JAK-MAXAM algorithm filters out the redundant link.From the proposed system, we have relevant information with more accuracy.Using this KTMIN-JAK-MAXAM algorithm accessing of web pages with reduced time and space complication.
Nonlocal filtering based salient region detection

Image salient region detection is widely used in many fields, such as automatic target detection, image retrieval, object recognition and image segmentation. Although there are many methods related to image salient region detection, improving its accuracy is still one of the hot research areas in image processing. In this paper, we propose a novel salient detection algorithm based on nonlocal filtering, which is mainly used in image denoising. The proposed algorithm stacks several similar blocks to form a three-dimensional matrix by image block matching, in which the filtered image by nonlocal filtering can better preserve image detail information than traditional Gaussian filtering. We calculate the Euclidean distance between the mean of the original image and the filtered image as the saliency map. The experimental results show that the proposed algorithm can accurately obtain the saliency map, especially, the edge of the saliency map image is much better than many existing algorithms.
Anomaly Detection Based on PMF Encoding and Adversarially Learned Inference

In order to solve the problem of increasing the dimension and sparse feature space caused by the categorization coding method in the existing abnormal traffic detection problem, a coding method based on Probability Mass Function (PMF) is proposed. Secondly, in order to improve the ability of abnormal traffic detection algorithms to identify unknown attack type data and improve detection efficiency, we use Adversarially Learned Inference as the basic detection algorithm. The comparison experiments on the standard dataset show that the proposed method has improved the accuracy and detection efficiency greatly compared with the existing anomaly detection methods.
THE IMPORTANCE OF USE OF EFFECTIVE SENTENCES FOR PHYSICAL STUDENTS OF UNIMED FMIPA

Abstract : The Importance of Effective Use of Sentences for Physics Students of UNIMED FMIPA. This study aims to determine the importance of using effective sentences for students. The type of this research is descriptive qualitative with the subject of the study are 15 students of the 2014 class D physics class D education program. The technique of collecting data using test instruments amounted to 15 questions and analyzed with descriptive techniques. The results of this study state that the understanding of Physics students on the use of effective sentences is 40% on very good criteria, 33.33% criteria are good, 13.33% criteria are sufficient and less. The conclusion of this study is that students' understanding of efketif sentences is classified as moderate.Keywords : Effective SentencesAbstrak : Pentingnya Penggunaan Kalimat Efektif Bagi Mahasiswa Fisika FMIPA UNIMED. Penelitian ini bertujuan untuk mengetahui pentingnya penggunaan kalimat efektif bagi mahasiswa. Jenis penelitian ini adalah deskriptif kualitatif dengan subjek penelitian adalah 15 mahasiswa program studi pendidikan fisika kelas D stambuk 2014. Teknik pengumpulan data dengan menggunakan instrumen tes berjumlah 15 soal dan dianalisis dengan teknik deskriptif. Hasil penelitian ini menyatakan bahwa pemahaman mahasiswa Fisika terhadap penggunaan kalimat efektif sebesar 40% pada kriteria sangat baik, 33,33% kriteria baik, 13,33% kriteria cukup dan kurang. Kesimpulan dari penelitian ini adalah pemahaman mahasiswa terhadap kalimat efketif tergolong sedang.Kata Kunci : Kalimat Efektif
Education and Democracy in the Time of Digitisation

&lt;p&gt;&lt;em&gt;With Digitisation, each of “democracy”, “education” and, consequently, and conclusively, “Education and Democracy” enters an exciting new dimension. Current considerations of how “government by the people” should be addressed, encouraged and embodied in schools are outdated, unless the realisation that nothing can ever be the same again becomes the starting-point. This paper explores the nature of that forthcoming and fundamental transformation, as made necessary and possible through contemporary technology and as embodied in The Global School. Just as piecemeal Information and Communication Technology (ICT) applications are of limited significance, so also are isolated experiments with democratic educational initiatives now obsolete. Universal connectivity straddles schools worldwide and cuts across the institutional, societal and historical factors that gave rise to pernicious politico-socio-educational injustice. Propagating democracy is essentially undemocratic; moral education is the antithesis of morality. &lt;/em&gt;&lt;em&gt;T&lt;/em&gt;&lt;em&gt;he need from now onwards is for a convivial learning-supporting pedagogy, delivering the creative learner-driven curriculum, with the open, well-informed and on-going debate as the fundamental methodology. &lt;/em&gt;&lt;em&gt;The substance, practice and consequences of education may now become much more equitable, ethical and enjoyable (and far less competitive, test-oriented and world-of-work-dominated). &lt;/em&gt;&lt;em&gt;These and other implications for “Education and Democracy” of this ground-breaking “Education embodying Digitisation” reality are investigated and welcomed.&lt;/em&gt;&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
The internal university factors in determining the graduates’ performance in the labour market: evidence from Syrian universities

Purpose – this study aims to investigate internal university factors that affect graduates’ performance in the Syrian labour market. Research methodology – the applied methodology employes two questionnaire surveys distributed to a sample of graduates and sample of Work Organizations (WO) for the period from 2012 to 2017. The research uses descriptive and analytical methodologies by applying binary logistic regression, linear regression, T-test and measuring some descriptive statistical indicators. Findings – the research findings indicate that WO collaboration is the main determinant of performance that is measured by two variables, the first one is being selected in a relevant job, and the second one is a performance at work. Moreover, GPA, attendance, and study’s language are determinants in different levels but less than WO collaboration to the graduates’ performance. Research limitations – further research could expand the sample and consider other factors like teaching staff and quality standards in order to get more comprehensive results. Practical implications – universities and business sector can benefit from this research by enhancing WO collaboration as well as curriculums that need to be updated and suited with the need of business. Universities should also consider English as the core language of courses. Originality/Value – this is the first research in Syria that investigate the internal university factors, taking into consideration two different views of points, the graduates and business sector as well as using many different statistical methods
Enhancement of Power Generation for PV Systems Using Dynamic Tacking System

The objective of this research is tracking power obtained daily (March-September 2017 in Mansoura state) from moving solar panel system during 12 hrs.to enhance power gain.The automatic sun tracking system provides peter alignment of solar panel with the sun.The aim of designing and implementing technology an automatic dual-axes tracking mechanism though chaining the sun tilt-angle due to change of both the seasons and day time is to improve maximum power gain from sun.This proposed system is added to determine the exact time of cleaning process based on real-time clock (RTC).The reading of power output from the proposed system gives a power gain of 74% more than power gain of a fixed solar panel.The proposed solar system design has low consumed power, minimum cost, reliable structure and residential usage applications.The practical experiment proves that all critical points which obtained from moving solar system is better than fixed solar system.
SPMM: A Soft Piecewise Mapping Model for Bilingual Lexicon Induction

Bilingual Lexicon Induction (BLI) aims at inducing word translations in two distinct languages. The generated bilingual dictionaries via BLI are essential for cross-lingual NLP applications. Most existing methods assume that a mapping matrix can be learned to project the embedding of a word in the source language to that of a word in the target language which shares the same meaning. However, a single matrix may not be able to provide sufficiently large parameter space and to tailor to the semantics of words across different domains and topics due to the complicated nature of linguistic regularities. In this paper, we propose a Soft Piecewise Mapping Model (SPMM). It generates word alignments in two languages by learning multiple mapping matrices with orthogonal constraint. Each matrix encodes the embedding translation knowledge over a distribution of latent topics in the embedding spaces. Such learning problem can be formulated as an extended version of the Wahba's problem, with a closed-form solution derived. To address the limited size of training data for low-resourced languages and emerging domains, an iterative boosting method based on SPMM is used to augment training dictionaries. Experiments conducted on both general and domain-specific corpora show that SPMM is effective and outperforms previous methods.MSC codesbilingual lexicon inductionsoft piecewise mappingWahba's problemiterative boosting
Joint State Estimation and System Classification Using Particle Filtering and Interacting Multiple-Model for Maneuvering Target Tracking

Joint State Estimation and System Classification Using Particle Filtering and Interacting Multiple-Model for Maneuvering Target Tracking
Automatic Self-checkout System Using SURF, Brute Force Matcher, and RFID for Payment Process Optimization at Supermarket

A long queue is common at a conventional supermarket. It is caused by inability of cashier to handle the task. Cashier could have an inconsistent performance, untrained skill, and fatigue. In addition, odd price tags could engage unnecessary conversation in giving change. This resulted on the service provided to be longer. The current solution for this problem is Radio Frequency Identification (RFID) and debit card usage. As per our survey at local supermarket, the usage of RFID could extend cashier service by up to five minutes fifteen seconds for the purchase of six test goods, meanwhile the cash took up to three minutes 23 seconds. Intelligent self-checkout system has been proposed but requires a high-end graphics card. In this study, we propose an automatic self-checkout system based on Speeded Up Robust Features (SURF), brute force matcher, and RFID for payment process optimization at supermarket. The system consists of an image scanner, a conveyor set which moves the customer’s goods into scanning area. After the goods is detected, customer pay the displayed price using RFID card. The result of our experiment has 77.78% detection rate and 16 seconds of payment process. Compared to traditional method, our system is twenty times faster
Statistical Analysis of Sedimentology and Sedimentary Geochemistry Data of Aeolian Sediments in Khuzestan Province

Statistical Analysis of Sedimentology and Sedimentary Geochemistry Data of Aeolian Sediments in Khuzestan Province
CREATIVE ACTIVITY OF PERSONALITY IN THE CONTEXT OF FORMATION OF EDUCATIONAL MODELS

The display of creative activity of the personality in the development of culture have been theoretically and methodologically analyzed and its value in the formation of educational models has been established.The characteristic features of contemplative, operational, innovative and creative educational models are determined.The isomorphism of education and culture, which presupposes correspondence of educational model signs to characteristics of current culture is proved.It is established that the creative model of education should reflect the fundamental features of the information society and the co-evolutionary type of relations in the "man-world" system.This model should become a coherent educational environment that not only satisfies the society's demand for innovation, but also provides self-determination of educational activity, forms the person's ability to control the transfer of the dominant components of their own creative activity and realize the possibilities of a professional and life-personal system.
Development of Reading Comprehension Teaching Materials Using the CIRC Model in Primary School

motivated by teaching materials that are used by teachers which do not contain the complete reading process (pre-reading, reading, and post-reading). This study aims to develop reading comprehension teaching materials using the CIRC model for elementary school class V that is valid, practical, and effective. This type of research is development research. This study uses the ADDIE model which consists of 5 stages, namely: the stage of analysis, design, development, and implementation, and evaluation. Validity test data is obtained through assessment sheets of teacher and student responses. Effectiveness is seen from the activities of students, assessment of the process and results of the test of reading comprehension of students. Based on the results of the validity, practicality, and effectiveness tests obtained teaching materials that are valid, practical, and effective, and able to improve reading comprehension skills. It can be concluded that teaching reading comprehension materials using the CIRC model developed can be used in reading comprehension learning in grade V of Elementary School.
META ANALYSIS OF STRATEGIES AND UTILIZATION OF ELECTRONIC JOURNALS FOR GRADUATE STUDENT UNIVERSITY OF STATE MALANG IN EFFORTS PRODUCE INTERNATIONALLY REPUTED SCIENTIFIC PUBLICATIONS

Scientific publications in journals of international repute act as a medium for self-actualization academics in the development of science internationally. Higher education institutions that have the quality of education, science, and technology are good tend to have a high number of international publications. To produce scientific publications of high quality must be supported by research and a source of reference quality. In an effort to improve the scientific publication of national repute academic environment. Malang State University. providing electronic information resources in the form of an electronic journal that comes from a variety of electronic information resources, in the hope utilized by students in an effort to increase scientific publication of international repute. The effort is also supported by a set of rules that requires that academic graduate students have a scientific publication of international repute as a graduation requirement
Graph-Regularized NMF with Prior Knowledge for Image Inpainting

The image inpainting problem can be converted to the matrix completion. A classical matrix completion method is based on matrix factorization. The product of two low-rank matrices fills in the missing regions. In this paper, we propose a novel matrix factorization framework to recover the images. Before decomposing the original matrix, approximation matrix as the prior knowledge is constructed to estimate the values of missing pixels. The estimation of the missing pixels can be obtained through resampling from the surface fitting the 3D projection points of the available pixels. To keep the latent geometrical structure between adjacent pixels, we modify the graph-regularized which allows the edge weights negative to decompose the approximation matrix. Experimental results of image inpainting demonstrate the effectiveness of the proposed method compared with the representative methods in quantities.
Large Purcell Enhancement with Nonreciprocal Photon Collection in a Gap Plasmon System

We achieve chiral light-emitter coupling with guided part Purcell enhancement of $1000\gamma_{0}$ and the directionality of 85% in a designed hybrid gap plasmon system, which provides an efficient way for nonreciprocal quantum photon sources.
SECURITY POLICY AND WIRELESS COMPUTER NETWORKS IN EDUCATIONAL INSTITUTIONS IN THE REPUBLIC OF CROATIA

Security policy defines planning and describes goals or security procedures.Security policy can also be defined as declaration of goals to be reached byimplementation of certain procedures. The conditions under which security policy canbe operational are not specific. Rather they are general. Implementation of securitypolicy is not described as a part of the procedure and it is as a matter of fact a draft ofsecuity within a certain system. According to Peltier information security programshoud be a part of security program protecting the entire property of an organization.Security program is not created to meet security needs or requirement of revisions,but as a process providing the management with processes necessary for managingmanagement's responsibility. The management is responsible for securing appropriatemeans to control protection of property owned by a company or institution in whichsecurity policy is implemented. This work describes security policy wifi networkssituation in Croatian academic institutions (members of CARNet).
PENGARUH MEDIA KOMIK SAINS BERBASIS KARAKTER TERHADAP MINAT BACA DAN HASIL BELAJAR MAHASISWA PENDIDIKAN IPA

This research is a quasi-experimental type Nonequivalent Control Group Design which aims to determine the effect of the use of learning media in the form of character-based science comics on reading interest and learning outcomes of science education program students in science 2 subjects. This study uses learning media containing science material integrated with character education in it is very necessary for the present and future eras. This is in line with the 2013 revised curriculum demands of 2017 which aim to build the 2045 generation with strong character, possess 21st-century skills with HOTS assessment, and literacy. Data collection techniques using questionnaires and tests. The results of this study indicate that there is a significant influence on the use of comic media in learning in science courses 2 addictive and psychotropic substances on learning outcomes and student interest in reading. This is evidenced by the results of the significance of the "t" test for post-testing learning outcomes and reading interest between the experimental class and the control class valued at 0,000 or less than 0.05 (Î±). The results of the gain test which shows that the difference in posttest learning outcomes of natural science students in Natural Sciences 2 course is in the high category while for reading interest is in the medium category.
Professional Organizations in Twittersphere: An Empirical Study of U.S. Library and Information Science Professional Organizations‐Related Tweets

Twitter is utilized by many, including professional businesses and organizations; however, there are very few studies on how other entities interact with these organizations in the Twittersphere. This article presents a study that investigates tweets related to 5 major library and information science (LIS) professional organizations in the United States. This study applies a systematic tweets analysis framework, including descriptive analytics, network analytics, and co‐word analysis of hashtags. The findings shed light on user engagement with LIS professional organizations and the trending discussion topics on Twitter, which is valuable for enabling more successful social media use and greater influence.
Secure Image Steganography Algorithm Using Radial Basis Function Neural Network

Recently, ensuring the security of secret messages over computer networks has significantly increased in importance. For this reason, a new system is proposed that tries to hide text using Artificial Neural Network (ANN), and more precisely using Radial Based Function, with zero mean square error, in addition to encryption techniques, to make sure that the resulting text is exactly the same as the one that was sent.&#x0D; &#x0D; In this study the text is encrypted by an ordinary encryption algorithm, then the encrypted text will be embedded within the image and the positions of each encrypted text value will be determined, and in the last step the taken values (positions) will be encrypted using the neural network. The resulting encrypted text is unpredictable, making it very secure.&#x0D; &#x0D; On the receiver side, only the person, who has knowledge of the decryption key, neural network inputs P and parameters, will be able to see the original message embedded in the image.