Reviewerly/exHarmony huggingface dataset:
LEARNING MODELS AND MEDIA EMPLOYED BY 7th GRADE ENGLISH TEACHERS

Learning media and model are increasingly available in this 21 st century era. However, many English teachers have not devised the sophisticated tools for learning.The aim of this study is to highlight the learning media and models used by English teachers to the 7 th grade students in SMP Negeri 2 Sungailiat in the aspects of planning, implementing, and evaluating. Descriptive qualitative was used to get the data.The participants of this study were three teachers of SMP Negeri 2 Sungailiat who taught the 7 th Grade Students. The instruments used were documentation, observation, and interview. The instrument of were adapted based on the Teacher Competency Assessment Tool ( Instrument Penilaian Kemampuan Guru ), and the result of documentation and observation were classified into four criteria. The findings showed that the teachers used learning model such as direct learning model and cooperative learning model. Meanwhile, the learning media used by the teachers were pictures, real object, whiteboard, textbooks, and example of written texts. The result of data analysis of documentation were classified  that the three teachers made a learning plan included in the Good category  with the final score 68%, and the result of observation were classified that the three teachers in carrying out learning activities included in the Good category with the final score  60%.
STUDENTS’ EXPERIENCE REGARDING E-LEARNING DURING THE COVID-19 PANDEMIC AT JOUF UNIVERSITY, SAUDI ARABIA KINGDOM

Objectives: To explore the students’ experience regarding E-learning during the Covid-19pandemic in Saudi Arabia through: Assess students’ attitude toward the benefits of E-learningand Specify students’ problem during E-learning.Methods: The study was conducted at Jouf University which follows the ministry of educationand it includes male and female campus with all specialties. A convenience sample of (475)students were involved in the study. A self-administered questionnaire was obtained throughonline survey method after translated to Arabic language, it contains three parts (Demographiccharacteristics, Attitude towards benefits of E-learning and problems occurred throughout Elearning). A Cross sectional descriptive design was conducted at Jouf UniversityResults: The present study revealed that grade level and faculty had high positive predictoreffect on attitude toward benefits of E-learning at p value <0.01. While, age had positivepredictor effect on attitude toward benefits of E-learning at p value <0.05. Meanwhile, totalproblem had high negative predictor effect on attitude toward benefits of E-learning at p value<0.01.Conclusion :To conclude, the present study that more than half of studied subjects had apositive attitude toward benefits of E-learning, while more than one third of them had negativeattitude. A half of studied students at Jouf University had low problem, less than one third hadmoderate problem while, only one fifth of them had high problem during E-learning cause byweak internet connection , unsuitable place of studying online charatized by crowded home aswell as lack of face to face communication.
GAME WHAC-A-MOLE BERBASIS AUGMENTED REALITY SEBAGAI MEDIA PEMBELAJARAN HEWAN KARNIVORA DAN HERBIVORA

Visual media are very useful to transfer information from one person to others. The game is an interactive visual media where players can interact with what they saw on the digital screen. It can be used to make a pleasing interactive education. Combining the popular game whack-a-mole with Augmented Reality can make children easily understand which animal is Carnivore and which one is a herbivore. So we hope this prototype can support traditional education to transfer the information to children.
An Exploratory Study on the Matching of Learning Style and Teaching Mode of College Students under the Trend of Personalized Learning

At present, artificial intelligence, learning analysis,machine learning and otherinformation technologies are transforming education in an all-round way. The deep integration of information technology and education has given birth to a large number of new things, such as Micro-Teaching Assistant APP, Rain Classroom APP, Blue Ink Cloud Class APP, Super Star Learning APP, smart classroom and virtual reality. The “classsystem” and “batch system” teaching mode, which emerged in industrialsociety and lasted for nearly 400 years, have been challenged unprecedeningly. Starting from the general trend of individualized learning, this paper discusses the conflict between the mass teaching mode of “class system” and individualized learning, as well as the dilemma of matching learning style and teaching mode, and puts forward four coping strategies based on this, so as to provide reference for the policy making of education administration department and contribute to the development of education and teaching.
Polynomial Graph Convolutional Networks

Graph Convolutional Neural Networks (GCNs) exploit convolution operators, based on some neighborhood aggregating scheme, to compute representations of graphs. The most common convolution operators only exploit local topological information. To consider wider topological receptive fields, the mainstream approach is to non-linearly stack multiple Graph Convolutional (GC) layers. In this way, however, interactions among GC parameters at different levels pose a bias on the flow of topological information. In this paper, we propose a different strategy, considering a single graph convolution layer that independently exploits neighbouring nodes at different topological distances, generating decoupled representations for each of them. These representations are then processed by subsequent readout layers. We implement this strategy introducing the Polynomial Graph Convolution (PGC) layer, that we prove being more expressive than the most common convolution operators and their linear stacking. Our contribution is not limited to the definition of a convolution operator with a larger receptive field, but we prove both theoretically and experimentally that the common way multiple non-linear graph convolutions are stacked limits the neural network expressiveness. Specifically, we show that a Graph Neural Network architecture with a single PGC layer achieves state of the art performance on many commonly adopted graph classification benchmarks.
LibGuides: A Guide for Reluctant Teen Readers: How to Read More

This guide is a resource for teens (ages 13-18) who may be reluctant to read, who struggle to enjoy books, or who need a starting place for rekindling their previous love for reading.
Research Guides: TE 100/PSCI 110: Suggested Databases for Annotated Bibliography Assignment

Collaborative Research Project (CRP) resources to assist with the annotated bibliography and the policy project.
Network Spam To Create A Arrangement Intended For Online Public Reviews

The ability for anyone to leave a comment offers a golden opportunity for spammers to write spam reviews of products and services for a variety of interests. Using the importance of spam functions helps us perform better in terms of various metrics tested on real-world review data sets from Yelp and Amazon. Identifying spammers and spam is a hot topic of research, and although a large number of studies have recently been conducted for this purpose, the methodologies presented so far barely detect spam reviews and none have demonstrated the importance of each type of extracted feature. . In this study, we propose a new framework, called Network Spam that uses spam properties to model review data sets as heterogeneous information networks to assign a spam detection procedure to the classification problem in those networks. The results show that the spam network outperforms existing methods and four classes of characteristics; including behavior review, user behavior, language review, user language, and the first type of features work better than other categories.
PENERAPAN LATIHAN MOTORIK HALUS UNTUK MENINGKATKAN KEMAMPUAN MENULIS HURUF SISWA TUNAGRAHITA KELAS DASAR III DI SLB. NEGERI 2 MAKASSAR

The aims of this study were to find out the writing ability and writing activeness of Elementary Class III tunagrahita students at SLB Negeri 2 Makassar through the application of fine motor training. This study used a classroom action research. The research subjects were two students with tunagrahita in Elementary Class III SLB Negeri 2 Makassar with data collection through test, documentation, and observation. Data analysis was performed by using descriptive-qualitative and quantitative analysis technique. The results showed that the ability to write letters of the Elementary Class III tunagrahita students at SLB Negeri 2 Makassar with the application of the fine motor training had a significant increase qualitatively from cycle I to cycle II. The application of this fine motor training showed the better result from cycle I to cycle II. The increase of student activities included the overall activities given to the students. Keywords: Fine Motoric, Writing Letters, Tunagrahita
The Opportunities and Challenges of Online Instruction in Transnational Education and Learning

This study reports on the opportunities and challenges of online instruction in transnational education and learning. The purpose of the study was to reconsider the opportunities the online teaching/learning mode provides learners and instructors and identify and analyze challenges faced by both learners and instructors using the online option in higher education. The article argued that the quest to make more strategic gains from online education programs comes with challenges to both learners and instructors as teaching/learning are likely to suffer in the online instruction mode. Although the online mode provides learners the opportunities for higher education they may otherwise not have and employment for instructors, the article claims that high teaching/learning standards and effectiveness seem to be compromised in online instruction considering that relationships play a key role in optimizing an individual’s intelligence (Cochran-Smith & Lytle, 1999; Marzano et al., 2005; Fonkem, 2012) and consequently the individual’s ability to perform teaching and learning tasks.
Meteorological Big Data mining: A survey

Meteorological data is generated on day to day basis through various techniques. Hadoop distributed file system is used to handle such a rapid growth of data by storing data in distributed system. There are many architecture exist which uses Hive and pig query tools to extract data from HDFS and then apply Mapreduce for analyzing data. Apache spark is also used for faster analysis. To further improve time efficiency for large datasets, data mining algorithms are also used in distributed manner. All work has been done on traditional framework with the lack of any user interface and effective visualization. We will propose a framework which is more efficient to handle meteorological data with user interface and effective visualization.
PENGGUNAAN SYSTEM I-TOS DALAM PELAYANAN BONGKAR MUAT PETIKEMAS DOMESTIK DI INDONESIA PORT CORPORATION CABANG TANJUNG PRIOK

The paper aims to illustrate or give insight into the foreign ship's agent carrying coal in the port of Tanjung Bara East Kalimantan, and provide insight to the community that our country is rich in crops such as coal that is able to supply the needs of industrialized countries in the world. To achieve these results, the authors use the method of observation with the result of improving agency services in terms of handling the arrival and departure of the ship in the port of Tanjung bara PT. Kaltim prima coal east kalimantan by agent PT. Sea horse marked by the loading of coal in the Port of Tanjung Bara East Kalimantan. world industrial companies that need materials such as coal, large companies that use coal materials very often bring coal from rich countries with crops among our country namely Indonesia. Indonesia is the world's second largest coal producer capable of supplying the needs of industrialized countries in the world .the result of non-renewable natural resources in the form of flammable rocks of more than 50% - 70% by weight of volumes is an organic material which is a coal carbon material serving for steam power plants (steam power) to coke for steel making. Keywords: Coal transport vessels
A dynamic balanced level generator for video games based on deep convolutional generative adversarial networks

In the gaming industry, creating well-balanced games is one of the major challenges developers are currently facing. Balance in games has different meanings depending on the game type. But, most of the existing definitions are esteemed from the flow theory. Flow theory in video games is stating that the level of challenge existing in the game must be neither too easy nor too difficult for the player. Games that are not balanced will have a high churn rate and will suffer in terms of monetization. Hence, nowadays a trending research area is focused on establishing mechanisms to create automatic balance in an algorithmic way. In this research, we have used generative adversarial networks (GANs) to automatically create balanced levels. In the proposed work, a level of a 2D platformer game is fed to the network. Finally, the network automatically generates new balanced levels and the levels are checked to see if they have the game’s minimum necessary requirements and also to check if they can be solved by the reinforcement learning agent. In the series of performed evaluations, it is shown that after the training process, the proposed approach is capable of generating levels that are well-balanced with considerable accuracy.
Elaboração de uma intervenção educativa preventiva sobre ansiedade para idosos: relato de experiência em tempos de COVID-19

The purpose of this article was to describe, through an experience report, the development of a preventive educational intervention on anxiety for elderly people in times of COVID-19. The activities were linked to the discipline of Collective Health Practices, at the Catholic University of Brasilia, and involved: opinion polling and the elaboration of health content on an Instagram profile. It was observed that the intervention was effective and enabled health promotion in old age.
Secure Federated Learning of User Verification Models

We consider the problem of training User Verification (UV) models in federated setup, where the conventional loss functions are not applicable due to the constraints that each user has access to the data of only one class and user embeddings cannot be shared with the server or other users. To address this problem, we propose Federated User Verification (FedUV), a framework for private and secure training of UV models. In FedUV, users jointly learn a set of vectors and maximize the correlation of their instance embeddings with a secret user-defined linear combination of those vectors. We show that choosing the linear combinations from the codewords of an error-correcting code allows users to collaboratively train the model without revealing their embedding vectors. We present the experimental results for user verification with voice, face, and handwriting data and show that FedUV is on par with existing approaches, while not sharing the embeddings with other users or the server.
THE IMPACT OF CLOUD COMPUTING ON THE EXTERNAL AUDIT PROCESS IN THE KINGDOM OF SAUDI ARABIA

This study aims to identify the impact of cloud computing on the external audit process in Saudi Arabia from the point of view of external auditors. in particular, its impact on procedures, efficiency and risk of audit. To achieve the study objective, 242 questionnaires were distributed to auditing offices licensed in Jeddah with sample size of 47 auditing offices. The study depends on the inductive and descriptive methods to test the research hypotheses, in order to obtain the results. The study found that, there is a positive effect of Cloud Computing on external audit processes. The results indicated that Cloud Computing will contribute in facilitating the auditing process procedures, as well as increase the efficiency of the audit process, reducing costs, time and effort. Furthermore, the results show that, cloud computing have a positive impact on the audit risks, in particular with regard to the storage of data in the Cloud. Also, the results show that, the majority of participants support transformation towards cloud computing. The results of the hypothesis test showed that there is a statistically significant impact of cloud computing on the procedures, efficiency, and risk of external audit. This result Indicates that the studys sample understands the importance of cloud computing and adequate awareness of its risks and threats. The study recommended that, it is very important for the auditing offices to adopt the use of cloud computing. In addition, it is recommended that the profession issues a special standard for cloud computing. Also it is recommended that the auditing offices proceed on continuous training for auditors on modern technologies to cope with electronic development, due to its positive impact on the audit profession in general and on auditors in particular.
PENGGUNAAN TERAPI ELEKTROFISIS PADA SATU RUMAH SAKIT UMUM SWASTA DI JAKARTA

One of the physiotherapy interventions that need to be fulfilled in a hospital is electro physical agents and requires specific electro physical modalities for physiotherapy intervention. Furthermore, electro physical agent therapy is an important component for physiotherapy and consists of the application of various modes of electro physical agents for therapeutic purposes. Research on the use of electro physical agent in hospitals was still very rare. Then, this study purposed to determine the use of electro physical modalities in one hospital as a preliminary study. This study uses a case study at hospital M in the South Jakarta area about the use of electro physical agent modalities. The M hospital has electro physical agent modalities such as Infra-Red Radiation, Micro wave diathermy (MWD), Short wave diathermy (SWD), TENS, Electrical Stimulation, Lasers, ESWT, Cervical & Lumbar Mechanical Traction Equipment, Paraffin Bath and Nebulizer. The most used modalities were Diathermy (MWD and SWD). The next most used are US, TENS and While others electro physical modalities that are rarely used were Nebulizer, IRR, Electrical Stimulation, Mechanical Traction Equipment and Paraffin Bath.
Predicting Human Visual Complexity Judgments via Deep Learning

Visual complexity can be defined as the difficulty of defining an image or the number of details in the image. Studying visual complexity is important for understanding human visual system and developing systems for human use. In this study, a deep learning model developed for object identification was used in the context of transfer learning for developing two models to predict human visual complexity judgments. The model that was trained for making prediction within the same domain is named as within-domain, while the model that was trained for making prediction between different domains is named as crossdomain model. After the training phase, within-domain model can predict which image is more complex than the other with 95% accuracy and the cross-domain model with 78% accuracy. Visual complexity scores of images that are not in the test set were calculated by means of image complexity comparisons of models. It was found that the correlation between real visual complexity scores and calculated scores was strong, even for object (0.77) and scene (0.83) categories.
Research Guides: Chromebooks for Class: Microsoft Office

This guide aims to be a basic introduction of the capabilities of a Chromebook for online classes and homework. It outlines how to access certain tools on a Chrome OS. For technology support, please submit a support ticket at help.evergreen.edu.
“Mas ele é de sânscrito!” notiúncula-contributo à memória da SBEC

.
PHILOSOPHY OF TRAINING ENGINEERS FOR A NEW TECHNOLOGICAL ORDER AT THE DEPARTMENT SM-12, BAUMAN MOSCOW STATE TECHNICAL UNIVERSITY

The article examines the problem of personnel training in modern conditions. The task is set about the competencies of students of a technical university, what educational technologies are effective for training personnel, how to form the topic of scientific work for students. The article concludes that scientific and research work for the educational process is an important discipline, the importance of this discipline is very high. The article notes the role of the discipline “Introduction to the specialty” and its importance for further education at the university. All these questions are asked at a time when the world is entering a new industrial revolution.
LibGuides: Cultural Diversity in Children's Literature: Home

This guide will provide resources about culturally responsive teaching and literature for Elementary Education students.
Atuação do enfermeiro na promoção do autocuidado de Pacientes diabéticos com lesões: revisão integrativa / Nurse's performance in promoting self-care of Diabetic patients with injuries: integrative review

Introduction: Health care that offers information, support and appropriate monitoring can positively improve adherence, which will reduce the burden of chronic conditions and provide a better quality of life for patients with diabetes.Objectives: To analyze scientific productions about
Pengaruh Model Pembelajaran Value Clarification Technique Berbantuan Media Komik terhadap Hasil Belajar Siwa Kelas II SD

Abstract: Sometimes students have difficulty understanding the lessons delivered by the teacher, usually this happens because the teacher is less creative in delivering the lessons described. So students become bored and cannot understand the lessons described and student interest in learning and learning outcomes obtained tends to be low. The purpose of this study was to determine the effect of the VCT learning model with comic strip media on the learning outcomes of grade II students. VCT learning is a learning activity designed and implemented by the teacher and the media used here are comics. This study uses a quantitative approach with Quasi Experiment research type with non-equivlent control group design. The data analysis technique was a test. The sample used was the entire fifth class as many as 55 students with details of 28 experimental class students using VCT learning model assisted by comic media and 27 control class students without using VCT learning model assisted by comic media. Based on the research conducted, it can be concluded that, vct learning model with comic media, suitable for use in the learning process to improve students learning outcomes.