Reviewerly/exHarmony huggingface dataset:
Penerapan Multimedia untuk Meningkatkan Aktivitas dan Hasil Belajar Pendidikan Agama Hindu pada Siswa Kelas III SD Negeri 2 Tejakula

Based on preliminary data, out of 24 students showed low student learning activities. And only 6 students who have successfully completed grades above KKM 75. This study was designed with Two Cycles namely Cycle I and Cycle II, the method of data collection was carried out by observation, test and literature study. Data were analyzed by descriptive statistical analysis. The results of the study were achieved in the pre-cycle of facitious students in learning and even minimal in the activity of skills, in the first cycle students in the less active category were 33.3%, quite active was 44.4%, and those already in the active category in learning were 22.2 %. In the second cycle, there was a significant increase, namely 20.8% of students were in the quite active category 19.4%, 27.8% active category and 58.8% very active category. the acquisition of student scores increased significantly, from 6 people (16.7%) getting 75 increased in cycle I to 22 (61.1%) and in cycle II increasing to 36 people (100%) achieving mastery learning grades above KKM 75. The application of multimedia can be used effectively in increasing student activity and learning outcomes in class III SDN 2 Tejakula.
THE REAL STATUS OF DIGITAL LEARNING AS PERCEIVED BY FAULTY MEMBERS IN JORDAN

This study aims to identify the real status of digital learning as perceived by faculty members in Jordan.Digital learning is a new term which imitates the development of contemporary education technology changes.The research uses qualitative method represented by a semi-structured interview.The sample of the study consists of ( 50) faculty members chosen from Jerash University.The findings of the study showed that there are set of obstacles prevent ideal integration of digital learning as perceived by faculty members at Jerash University.A big portion of faculty members perceived poor infrastructure, lack of time and lack of technological skills as the main barriers that prevent the implementation of digital learning in the learning and teaching process.Some recommendations were set such as holding training courses for faculty members in order to improve their technological skills.
Hubungan antara Efikasi Diri dan Regulasi Diri dengan Prestasi Akademik pada Mahasiswa Program Studi Ilmu Al-Qur’an dan Tafsir UIN Raden Intan Lampung

Academic achievement is an achievement achieved by someone in the academic field. This achievement can be achieved if a person has confidence and has the ability to manage him/her-self. This study aims to determine the relationship between self-efficacy and self-regulation with academic achievement in 57 students of the Al-Qur'an Science study program and the interpretation of UIN Raden Intan Lampung. The sampling technique used is sampling total then analyzed by multiple regression analysis techniques. The results of this research analysis explain that there is a relationship between self-efficacy and self-regulation with academic achievement in students of the study program of the Qur'an and the interpretation of UIN Raden Intan Lampung with a correlation coefficient (R) = 0,859 and F = 76,136 with p = 0,000. Then, there is a significant relationship between self-efficacy and academic achievement in students, the results of the analysis obtained are with the value of rx1y = 0,817 with p = 0,000. Furthermore, there is a relationship between self-regulation and academic achievement in students seen from the results of calculations obtained by the value rx2y = 0,854 with p = 0,000.
Design of a Program Complex Architecture for Equipment Control Using Gestures

Industrial Internet of Things technologies is widely distributed.Smart cities, factories, shops, house assume using intelligent methods of data processing providing by a sensors.In particular, smart enterprise control is possible by through of gestures and is interesting and perspective task.In the article briefly reviewed methodology of gesture and action recognition by image sequences and proposed neural network architecture for gesture recognition and smart enterprise control.
MANAGING ENGLISH COMPETENCE AS A COMPETITIVE ADVANTAGE: CASE STUDY AT STES ISLAMIC VILLAGE TANGERANG

The purpose of this research is to know the level of English competence the students of the seventh semester at STES Islamic Village Tangerang in the academic year of 2018-2019. The instrument of this research is TOEFL paper-based test called TOEFL Prediction. The result of this research showed out of forty students only one student (2.5 %) achieved the minimum score required by the institution. Most of them (97.5 %) could not reach the minimum score. Although this is still the initial step to manage English competence as a competitive advantage for STES Islamic Village Tangerang. The research result will lead to the necessity of follow-up research to do so..
Theoretical Model for Detecting Sensitive Data Items of Users in Data Publication

Developments in current information technology are leading to the increased capture and storage of information about people and their activities.This raises serious concerns about the which data items are sensitive and how to detect these sensitive data items.Data privacy has become a very important concern in data publication in this modern era.The protection of data privacy depends on exactly what needs to be kept secret, thus, sensitive data.Protecting data privacy is a complicated task that takes into consideration what needs to be kept confidential.However, current privacy modeling techniques assume sensitive data items.This paper considers the detection of sensitive data items in data publication for research purposes.We attempt to theoretically formalize a model for detecting sensitive data using a directed graph.We identify transitions that have a lot of sensitive data items published to them; critical transitions.Furthermore, the state that is most risky to the user to traverse in the graph, termed the "Risky State" was ascertained.
Semantic Structures for Spatially-Distributed Multi-Agent Systems

Spatial constraint systems (scs) are semantic structures for reasoning about spatial and epistemic information in concurrent systems.They have been used to reason about beliefs, lies, and group epistemic behaviour inspired by social networks.They have also been used for proving new results about modal logics and giving semantics to process calculi.In this paper we will discuss the theory and main results about scs.* Frank Valencia has been partially supported by the
From Robots to Gorillas: Computer Programming for Engineers

From 2009 to 2012, the author contributed to the team teaching of computer programming to thousands of first-year engineers at the University of Alberta.Despite a complex scenario, his main objectives were to improve both the course material and his teaching evaluations.Through productive collaborations with colleagues and administrators, he succeeded via a transition from procedural C++, with a virtual robot called Karel, to MATLAB, with a video game called Gorillas.These two versions of the course are compared and contrasted, with a focus on the author's own contributions.Furthermore, the pedagogical approach is compared and contrasted with that of relevant literature.As with the state of the art, the work argues in favour of teaching introductory programming using MATLAB.Unlike the state of the art, the proposed approach exploits video game design and iterative and incremental development.Effectiveness of the contributions are demonstrated through student, peer, and self assessments.
A Multi-Modal Support System for Voice Therapy

Voice is still the main communication tool for us in our daily lives. Human posture is one of the important factors affecting the quality of sound and professional voice users have the ability to place their voices which is the ability to project ones voice to a location without necessarily turning there. An informatics based assistance system was developed to help voice therapists in their voice placement and posture improving therapies. This multi-modal support system which uses motion capture and multi array microphones to give feedback to doctors and patients in real time. In this work the efficiency of this system was demonstrated with user experience and usability tests done on human subjects.
Real-Time Recognition System of Sign Language in the Industrial Internet of Things

Industrial Internet of Things implies the concept of combining all electronic devices into a single network in an industrial enterprise, where each device can communicate with each other.The task of people in such an enterprise is to control automatic systems.In addition, enterprises of increased complexity will always need people.The article describes the process of preparing and partially implementation sign language translation in real time that can be embedded in an enterprise.The choice of architecture, recognition methods and programming languages used to create the system is considered.The system was decomposed into functional subsystems.
CREATING SMART UNIVERSITIES AS A CHALLENGE TO MODERNITY

The main trends in modern society is the rapid development of information and computertechnologies (ICT), communication channels and means of transmission and exchange of information, the integrationof knowledge and technology, an increase in the number of open innovations, the transition to new forms andmethods of organizational activity. This brings the world to a new “evolutionary revolution”, transforming theinformation society into what is commonly called the term smart society. In the era of the information society, themost competitive will be universities that can implement the ideas of creating a smart university.The article discusses the international experience of foreign scientific communities in the study of the structure,properties and functions of smart universities. The problems of ensuring the competitiveness of universities byembedding the system of higher education in modern market conditions through the use of modern information andcommunication technologies and the transition from the traditional management structure to process management, aswell as the conditions and nature of the introduction of changes in the educational system of the Republic ofKazakhstan are considered.
STRATEGIES FOR EFFECTIVE TEACHING OF READING AMONG SECONDARY SCHOOLS IN MORO LOCAL GOVERNMENT AREA OF KWARA STATE

Learning a language is different from acquiring it. To learn a language, all necessary skills are required. However, reading, a receptive skill, remains one of those four skills needed for language learning. As teachers of English, all efforts must be put forward in order to improve the teaching of reading through required strategies for effective teaching. This study however centers on effective teaching strategies of reading among secondary schools in Moro Local Government Area of Kwara State. In order to achieve this, questionnaire was used to elicit information on the respondents so as to be able to gather all necessary information needed for this study. The sample consists of Sixty (60) English language teachers who were randomly selected across twenty (20) randomly selected Junior and senior secondary schools in Moro Local Government Area of Kwara State. Data were analysed using descriptive and correlation statistics. The findings of the study revealed that the use of flash-cards, passage of relevant pictures and photographs, among others, are the teaching strategies needed for effective teaching of reading. Based on the result of the findings, it was recommended that sufficient teaching materials should be provided by government to assist teachers in the teaching of reading. This, among others, were discussed in this study.
The Impact of Sentence Embeddings in Turkish Paraphrase Detection

In recent studies, it is shown that word embeddings achieve in several natural language processing (NLP) tasks. Though paraphrase identification in Turkish is well-studied by traditional statistical NLP methods, to the best of our knowledge there exists no study where word and/or sentence embeddings are employed. In this paper, three methods, which are well-known as “using average vector for word embeddings” (AWE), “concatenated vectors for word embeddings” (CWE) and “word mover's distance word embeddings” (WMDWE) to build sentence embeddings from word embeddings are examined and their effect in performance of paraphrase identification is measured. The results are presented comparatively for English (MSRP) and Turkish (PARDER and TuPC) paraphrase corpora. The study doesn't cover the optimization of parameters used in training of word embeddings and also the features specific to Turkish langauge are not considered. Despite this naive approach, the test results obtained from PARDER corpus are inspiring that a more detailed study that involves such improvements may result with more convincing performance values.
Technique of the Socratic dialogue by Oscar Brenifier (following the results of the seminar “The Art of Philosophical Practice”, Chelyabinsk — Satka, February 12—13, 2019, recreation center “Eco-Park ″Zyuratkul″”)

зюраТкуль"») 1Борисов Сергей Валентинович,
Semisupervised Cross-Media Retrieval by Distance-Preserving Correlation Learning and Multi-modal Manifold Regularization

Due to the heterogeneous representation and incongruous distribution of cross-media data, like text, image, audio, video, and 3D model, how to capture the correlations of heterogeneous data for cross-media retrieval is a challenging problem. In order to handle with multiple media types, this paper proposes a novel distance-preserving correlation learning and multi-modal manifold regularization (DCLMM) approach to exploit the common representation of heterogeneous data. The method mines the distance-preserving correlation by minimizing (maximizing) the distances between media samples with positive (negative) semantic correlations, while most existing methods only focus on positive correlations of pairwise media types. DCLMM also utilizes an intrinsic multi-modal manifold to well describe the geometry distribution of both labeled and unlabeled heterogeneous cross-media data. Moreover, DCLMM incorporates the distance-preserving correlation and multi-modal manifold into a kernel based regularization framework to explore more rich complementary information from high dimensional space. Extensive experimental results on two widely-used cross-media datasets with up to five media types demonstrate the effectiveness of DCLMM for cross-media retrieval, compared with the state-of-the-art methods.
Correction to: How to correctly put the “subsequent” in subsequent search miss errors

The following formatting changes to the figures and table need to be made in order to enhance readability.
Person re-identification algorithm based on the fusion of deep feature and LOMO feature

Person Re-identification is a sub-problem of image retrieval, using computer vision techniques to judge whether a certain identical pedestrian exists among different images or video sequences, which has attracted more and more attention of researchers. In this paper, regarding the fact that under non-overlapping multi-camera, traditional handcrafted features have a limited presentation power in re-identifying the pedestrians and that deep features have complicated parameters while training. A re-identification method based on the deep fusion of handcrafted features and deep features was proposed, which cut down the number of parameters but still guaranteed the accuracy, achieving the advancement of both precision and capacity. In our model, the LOMO algorithm is used to extract the handcrafted features from the images first. Then, the dimensionality of those features are reduced by Guassian Pooling for efficiency. After that, they are connected to the deep fusion network with the deep features extracted from the same images by a modification of ResNet50. Finally, the fused features are sent to the classifier for the re-identification. In the training process, we proposed a training strategy called Gradient Freezing after studying the training details in the application of transfer learning on neural network. Experiments have proved that the accuracy of applying the deep fusion network that fused with deep features and handcrafted features is 30% higher than that of the ResNet50 alone, and that the time it consumes is reduced by 10 epoches through the gradient freezing method. Moreover, several experiments carried out on dataset Marketl501 indicate that under Single Query on Marketl501, Rankl(the probability of matching successfully for the first time) can reach a high number of 81.74% and mAP(mean average Precision) of 68.75%.
The Importance of Using Information Communication Technology (ICT) for Teaching English Language in Public Schools in Iraq

Learning new words of the target languet needs an effective methods and techniques, i.e. YouTube.  The aim of this study was to reveal the effectiveness of using YouTube, as a learning tool, to help the learners of the target language develop their vocabulary learning. The study population consisted of 64 third grade EFL learners at Al-Mansour  Preparatory School for Girls during the first semester of the academic year 2018/2019. The researcher selected 40 students randomly to serve as a sample of the study. A pre test was used to measure learners' vocabulary level before conducting the study, two months later and after finishing applying the experiment, the same test, under same conditions was  retest on the same sample to measure if there is any difference in the learners' mean scores due to using the new method that is YouTube. Results revealed that the experimental group learned lots of new words with the help of YouTube. In other words, YouTube offered a new experience for learners to learn new words. YouTube helped learners to learn not only the meanings of these words, but also how to use them in context. The researcher recommended to conducted other studies to develop learners' communicative skills.
PENGEMBANGAN BUKU AJAR MATA KULIAH PENDIDIKAN IPS UNTUK PGMI MENGGUNAKAN EXPANDING COMMUNITY APPROACH

This research is a continuation of the research on the Development of Textbooks for Social Studies Courses with the 2013 Curriculum Based Concept Approach. Development with Expanding Community Approach is used to create a hierarchical material that starts from a simple concept to a broader concept while paying attention to the distribution of Social Studies material at the level of Elementary School based on the 2013 Curriculum. Research &amp; development of textbooks for social studies education MI / SD with Expanding Community Approach aims to develop social studies textbooks in the Elementary School Teacher Education department that can be used as learning resources for students in Social Studies courses. This development research uses the Thiarajagan 4-D model with the steps of Define, Design, Develop, and restrictions on Desseminate. Research on the development of Social Studies course textbooks for Elementary School Teacher Education with Expanding Community Approach received a very decent category with a score of 81% from material experts, a decent category with a score of 80% from linguists, and a very decent category with a score of 87% from design experts. The data can provide the conclusion that the textbooks of Social Studies courses using the expanding community approach are categorized as feasible.
Intuitionistic Fuzzy Sets in Selecting Appropriate Uses of Milk Based on Quality

Guar gum Nano particles are smaller in size, due to their smaller size of exact directing, drug release possible, improvement of salutary efficiency and decrease of harmlessness.NPs are low-cost, biocompatible, non-toxic, and biodegradable to chemical alterations.The guar gum Nano particles are widely used in pharmaceuticals.This methods also used for the preparation of Nano particles are nonchemical, precipitation, dialysis, spray drying and mixture of these methods.Current review focus on the synthesis, types, preparation and characterization of Guar gum Nano particles by Ionic gelation method and cross linking method most advanced application related to targeted drug delivery.Nanoparticles act as possible transfers for some classes of cosmetics and drugs.It has been set up that the creation of nanoparticles depends upon the molecular mass of the galactomannan, solvent, surfactant, cross-linker and agitation.The particle size can be determined by scanning electron microscopy studies such as DLS, UV and SEM.The morphology and size of the gum Nano particles are determined by increased technique created spherical nanoparticles of size 10-280 nm.The results are given within the sort of tables and graphs.
Snellen Chart Based On Android Control

Eye vision is a person's visual acuity examination that is usually done using a snellen chart. Snellen chart is a poster that contains a number of letters that are different on each line with the letters getting closer to the bottom lines. Eye vision examination using a normal snellen chart is done at a distance of 6 meters because someone is considered normal if he is able to read on the 20/20 line in feet or 6/6 in meters. Snellen chart control android is an electronic snellen chart that controls the light transfer using Android. Commands originating from the mitapp application on android are sent to the bluetooth HC-05 module in the minsys Atmega16 circuit. Atmega 16 was chosen because it has a sufficient number of pins to control the displacement of the lights used by 23 lights. The appearance of the mitapp application has been adjusted to the letters contained in the snellen chart, making it easier for operator to correct the results of the readings that have been performed by the eye vision patient.
What is Distributed Morphology?

Asking such a question in this theory is rare, because to cover the whole skeleton of this question with substantial flesh is not a simple deal.But yet the paper attempts this question indirectly by discussing such central issues: (a) "grammar" in Distributed Morphology, (b) "morphology" in Distributed Morphology, (c) what is Distributed Morphology?(d) what has been Distributed?(e) why Distributed Morphology?(f) post-syntactic operations in Distributed Morphology, (g) key features of Distributed Morphology, (h) current issues of debate in Distributed Morphology, (i) analysis of some words from Hausa in Distributed Morphology.Discussion and explanation of the above mentioned issues will give clear picture of Distributed Morphology theory.
ADVANTAGES AND CHALLENGES OF USING COMPONENT-BASED SOFTWARE DEVELOPMENT IN THE VISION OF BUILDING A MODERN EDUCATIONAL SYSTEM

Nowadays the educational system does not benefit from all the current technological developments.Taking into account the problems that the system faces, it is important to analyze a solution keeping these developments in mind.This paper proposes to analyze componentbased software development as a solution for the future of an e-educational system.Component-based software development is a methodology that encourages the idea of building independent pieces of software with a defined purpose that can be used and reused both in different applications as well as on their own.Throughout the study the major advantages and challenges that appear repeatedly in different research papers and articles are highlighted always referring to the issues that the current educational system is dealing with such as the lack of funds and teacher empowerment, the lack of access to new trends and the lack of updated curricula and personalized learning paths for the pupils.This study can be used as a starting point for someone who wants an overview over how CBSD is seen and what competitive advantages and challenges would come across when choosing this solution for the development of an educational application.