Reviewerly/exHarmony huggingface dataset:
Creativity of the future teacher of a foreign language as a basis of professional formation

The article analyzes the specifics of training a future creative teacher of a foreign language in the information society.It is noted that the development of the creative personality of the teacher is an important task of higher education institutions, because it depends on the development of the creative personality of students, whose creative growth is carried out in interaction with the creative development of the teacher.The actuality of this problem at the present stage of development of society is revealed, the essence of such concepts as personality, creativity, creative activity of personality is determined, the views of psychologists and educators on the concept are analyzed.It is emphasized that despite the significant number of publications devoted to the study of the content of the concept of «creativity», in the scientific and pedagogical literature there are different approaches to its interpretation.The uderstanding of the essence of pedagogical creativity by domestic and foreign scientists is revealed.It has been found that modern pedagogical science treats this concept as a meaningful category.Scientists consider the creativity of a teacher as a specific activity that has a certain structure: motives, purpose, content, subject, object, means, conditions of realization, approaches, results.The main tasks of the process of formation of creative activity of students -future foreign language teachers are outlined, pedagogical conditions are considered as a complex of necessary means that contribute the success of formation of creative independence of a student of pedagogical university.As a result of the research it was found that the pedagogical conditions of forming creative independence of pedagogical university students are as follows: creation of pedagogical, comfortable and educational environment, reflective self organization of creative independence, involvement of students in «improvisational» field of activity and creative design activity.Attention is paid to the development of creative iniative, creative thinking, creative position and the formation of individual style of activity of the future English teacher.
Managing the Cloud: Establishing Standards for Describing Core Tasks of Cloud Creators, Providers, and Consumers

loud computing is an Internet-based computing technology that can be used to share resources like software, infrastructures, storage and information are delivered to consumers on their request. It also called a computing platform to share resources that comprise platform, software, applications, and business processes. So as to configuration, manufacture, and give cloud based arrangements that best address clients' issues, it is fundamental to comprehend the abilities, objectives, essential assignments, and responsibilities of the individuals or associations required all through the cloud service lifecycle. The three center jobs of Cloud Service Creator, Cloud Service Provider, and Cloud Service Consumer make the base for reflecting the nearby connection among developers, providers, and consumers so as to accomplish the ideal service flow.
Identification of the Flip Folder Folding Machine Using Artificial Neuro Network Method with NARX (Nonlinear Auto Regressive Exogenous) Structure

Folding machine is a tool that is needed in the small and medium scale laundry industry that has a goal for the efficiency of production time. The flip folder is the main component of this tool, which functions to fold the clothes by moving to form a certain deflection angle where the movement process is controlled by the controller. The system modeling process is the first step to study the characteristics of the system. In a dynamic system, the form of linear modeling is approved difficult to obtain a model that represents the actual physical model. Selecting the structure of the NARX (Nonlinear Autoregressive eXogenous) model was chosen to obtain the dynamic nature of the system. An estimation method to obtain parameter values from the system used Artificial Neural Networks (ANN), which is a trading scheme to be able to predict the output of a system that uses input data and output. Based on the offline assessment process using measurement data obtained by the NARX ANN model on the variation of the number of layers in 30 with a value of MSE 0,38641.
Research on Hybrid Recommendation Algorithm Based on Personalized Learning Resource Recommendation Model

With the application of artificial intelligence technology and the construction of network learning systems, for intelligent learning systems, providing learners with personalized recommendation services has always been the core function of intelligent learning systems. In recent years, domestic and foreign scholars have defined learning resource recommendation as multiple for the objective combination optimization problem, evolutionary algorithms such as discrete particle swarms are used to solve the multi-objective combination problem of learning resource recommendation. However, the algorithm needs to test the estimated model parameters too much in advance, which is not in line with the trend of online intelligent learning. This paper establishes a new learner portrait and learning resource portrait model, and proposes a learning resource recommendation model based on the portrait model. The recommendation model is modeled for a single learner, and learning resources are divided by knowledge points, each time for a single learner the recommendation is based on knowledge points, and an improved hybrid recommendation algorithm is proposed, which combines collaborative filtering algorithm and differential evolution algorithm to solve the complex problem of learning resource recommendation.
Awareness of Netizens on Cyber Crimes - An Empirical Examination in Andhra Pradesh

Internet has become an innovative relief for the modern generation, at it also promote a burden on the society. The internet acts as the genesis and breeding ground for a new kind of crime called the “cyber crime”. Common internet users are not aware of cyber crimes and they are not conscious on the precautionary aspects to over come such attacks from taking place. This paper aims to analyze the awareness levels of internet users towards various forms of cyber crimes. This study was conducted in Krishna and Guntur districts of Andhra Pradesh. Descriptive Research Design was adopted for the study and a sample size of 160 respondents were selected using Random Sampling Technique involving both the genders among the internet users. The findings of the study shows that the awareness levels of the internet users towards cyber crimes in the study area are very low and they have very less perception towards various forms of cyber crimes that exists in the modern times.
ANXIETY ON STUDENTS’ LISTENING COMPREHENSION IN UNIVERSITY STUDENTS IN MALANG

This study aims at knowing the level of anxiety and factors related to listening anxiety encountered by the students of EFL learners in Malang. This study employs mixed research method, involving forty-eight participants. To gather the data, questionnaires and interview on students’ anxiety are used as the instrument. The results of the study revealed that the students were mostly in moderate-level of anxiety. The anxiety frequently came from students’ background knowledge, such as getting worry to miss important ideas, getting nervous if not understanding every word, getting anxious because of unfamiliar words and topic, and guessing the missing information. Additionally, students’ low confidence in listening process and task, difficulty to concentrate, text speed, and confusion when listening to important information were related to listeners’ characteristic theme. Both contributed to students’ anxiety in their listening performance.Another finding addressed factors which cause students’ anxiety. It can be summarized into four categories, such as teachers’ factor, students’ factors, listening material and process, and another factors. Teachers’ factor related to teachers’’ characteristic and condition. Students’ factors closely related to students’ performance in listening activity. Listening material included listening difficulty and material. Other factors included environmental factors and other situation which was not mentioned in above three factors.
Object-Based Scene Classification Modeled by Hidden Markov Models Architecture

Multiclass classification problems such as document classification, medical diagnosis or scene classification are very challenging to address due to similarities between mutual classes. The use of reliable tools is necessary to get good classification results. This paper addresses the scene classification problem using objects as attributes. The process of classification is modeled by a famous mathematical tool: The Hidden Markov Models. We introduce suitable relations that scale the parameters of the Hidden Markov Model into variables of scene classification. The construction of Hidden Markov Chains is supported with weight measures and sorting functions. Lastly, inference algorithms extract most suitable scene categories from the Discrete Markov Chain. A parallelism approach constructs several Discrete Markov Chains in order to improve the accuracy of the classification process. We provide numerous tests on different datasets and compare classification accuracies with some state of the art methods. The proposed approach distinguishes itself by outperforming the other.
Correction

This article refers to:The Informational Text Structure Survey (ITS2): An exploration of primary grade teachers’ sensitivity to text structure in young children's informational texts
Alluvial Rutile and Anatase Trace Element Geochemistry as a Proxy for Sn and W Deposits

In Segura (East Central Portugal) several Sn-W quartz veins, and Li-Sn aplite-pegmatites, hosted in Paleozoic metasediments, are believed to be genetically related to the Variscan Segura Granitic Massif Alluvial samples from Segura area were studied to investigate its potential as an exploration tool for Sn and W. The heavy mineral associations identified are a good proxy for the lithologies outcropping in each catchment area.Rutile abundance is positively correlated with both granites and orebodies, while anatase decreases along the granite contact or in mineralized areas, suggesting anatase to rutile transformation by high temperature and/or metasomatic processes.Trace element geochemistry (EPMA) of Segura alluvial rutile and anatase is highly variable, acknowledging multiple sources and diversity of mineral forming processes.However, anomalous Sn, W, Nb, Ta, Fe, and V enrichments are registered, more so in rutile than in anatase mainly due to crystal structure differences.Incorporation of traces follows isovalent substitution of Sn 4+ for Ti 4+ and the coupled substitution mechanisms (Nb,Ta) 5+ + (Fe,V) 3+ = 2Ti 4+ , W 6+ + 2(Fe,V) 3+ = 3Ti 4+ , and W 6+ + Fe 2+ = 2Ti 4+ .The highest values of Nb (up to 85000 ppm), W (up to 57000 ppm), Sn (up to 56000 ppm), Fe (up to 29000), Ta (up to 19000 ppm) and V (up to 11000 ppm) are registered in rutile from samples collected inside the granite, where a Sn-rich and a W-rich population can be distinguished.These HFSE-rich and granitophile-rich rutile grains most likely represent primary magmatic crystals of extremely differentiated melts thus, its occurrence in alluvial samples can be used to footprint Sn-W productive granitic rocks as the Segura Granite.Geochemical distribution maps of rutile and anatase trace element contents show pronounced negative Sn (rutile+anatase) and W (rutile) anomalies linked to hydrothermal cassiterite precipitation, as opposed to their hydrothermal alteration halos and to Wdominant cassiterite-free mineralized areas, where primary hydrothermal rutile show similar enrichments to magmatic rutile, showing its potential as an exploration tool for Sn(W) and W(Sn) systems.
Video based Face Recognition with limited resources

Face recognition(FR) has multi-domain applications and video based FR is good area of research in terms of accuracy and performance. Recent research has proved that Convolutional Neural Network (CNN) is a one of best solution for object detection and recognition as it extracts features from on its own and performs classification as well. As we go for higher accuracy models, size of network increases and it requires more time to process a frame or video as it involves more computations. This paper aims at building a FR model which is smaller in network size, requires limited resources while building and still achieves good accuracy. The system uses combination of deep learning and machine learning based solution. FR system is built with CNN-Suport Vector Machine(SVM) model where CNN performs feature extraction and SVM performs classification task. Results shows that CNN-SVM model gives higher accuracy (94.05% validation and 90.17% testing) compared to conventional CNN-softmax model (93.37% validation and 88.77% testing) with a small network size and also requires less training time. Results can be improved by using cross validation techniques.
Linked Data Tools

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure to determine whether semantic technologies are sufficiently mature for non–expert use, and to identify some of the obstacles to global Linked Data implementation.
Speech Scrambling Based on Chaotic Mapping and Random Permutation for Modern Mobile Communication Systems

The expanding significance of securing data over the network has promoted growth of strong encryptionalgorithms. To enhance the information protection in network communications, this paper presents a Randompermutation, chaotic mapping and pseudo random binary scrambling. It involves transforming the intelligible speechsignal into an unintelligible form to protect it from interrupters. In this report, suggest a simple and secure procedureto secure the speech signal. The speech scrambling process makes use of two Permutations. In the first step, Randompermutation algorithm is used to swap the rows of the original speech followed by swapping of rows using chaoticBernoulli mapping. This produces an intermediary scrambled speech. In the second measure, pseudo random binarygenerator is used to make the final scrambled signal. Various analysis tests are then executed to determine thequality of the encrypted image. The test results determine the efficiency of the proposed speech scrambling process.
The Effect of Incorporating YouTube Videos into an Intervention Addressing Students' Misconceptions Related toSolutions, Solubility, and Saturation

He teaches in the areas of bridging engineering and education, capstone design, and introductory materials science and engineering.His research interests include strategies for web-based teaching and learning, misconceptions and their repair, and role of formative feedback on conceptual change.He
Correction: Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms

Correction for 'Diagnosis of inaccessible infections using infrared microscopy of white blood cells and machine learning algorithms' by Adam H. Agbaria et al., Analyst, 2020, DOI: 10.1039/D0AN00752H.
ANALISIS KESESUAIAN BUKU TEKS MATEMATIKA KELAS VII DENGAN KOMPETENSI INTI DAN KOMPETENSI DASAR KURIKULUM 2013

This study aims to describe the level of conformity between Class VII Mathematics Textbooks with Core Competencies and Basic Competencies of Curriculum 2013. Starting from the suitability of Basic Competencies from Core Competencies 1, Core Competencies 2, Core Competencies 3, and Core Competencies 4. The research method used is qualitative descriptive approach The primary data source used is the Mathematics Textbook for Class VII Semester 2 Revised 2017 Edition published by the Ministry of Education and Culture. While the secondary data sources are journals and relevant previous research results. The data collection used is a document content analysis (content analysis). To check the validity of this research data by increasing persistence. This descriptive research is intended to describe and analyze the level of conformity of the book with the Core Competencies and Basic Competencies. The results of this study, the level of conformity of the Mathematics Textbook for Class VII Semester 2 Revised 2017 Edition with the Implementation of Core Competencies and Basic Competencies of the 2013 Curriculum obtained a score of 86.5% in the "very good" category. The level of conformity of Basic Competency 1 from Core Competency 1 is 60% (Good Enough). The level of conformity of Basic Competency 2 from Core Competency 2 is 100% (Very Good). The level of conformity of Basic Competency 3 from Core Competency 3 is 93% (Very Good). The level of conformity of Basic Competency 4 from Core Competency 4 is 93% (Very Good).
Implementation of Linear Congruent Method in Learning Application Batak Toba Script with Game Model

When a process of teaching and learning activities by teachers is boring and uninteresting for students, so long as it can be ascertained that the message of values, morals, and knowledge from these lessons is difficult for students to understand and required a teaching method in the form of computer-based learning applications the game. Management of learning must describe efforts to plan or control teaching activities using teaching concepts and principles so that the objectives of teaching and learning activities are achieved more effectively, efficiently and productively and must be initiated from choosing strategies and plans, of course ending with assessment and can be used as consideration make further teaching improvements. Learning Batak Toba script by using the game model will increase students' enthusiasm and not be bored and train their memory to memorize or remember Batak Toba script and connect them to latin script because the questions that appear will never be the same and keep changing because they are randomized with linear congruent method (LCM). This learning model will add to the existing learning model in the form of multimedia-based applications.
Student science at Samara State University of Social Sciences and Education: results and prospects

Research activity of students is one of the main directions of scientific activity of the university. Student Scientific Society of the Samara State Social and Pedagogical University (hereinafter referred to as SSS SSPU) (curator - Candidate of Philology, Associate Professor A.V. Gritskova, Chairman - 5th year student of the Faculty of Natural Geography A.F. Pavlov) today unites more than 1350 students , which is about a third of the students. The collectives of the student scientific society formed at the faculties and interfaculty departments have achieved significant success and a high level of scientific research in various fields of knowledge. The activities of the student scientific society are provided by highly qualified teaching staff of scientific advisers.
Effectiveness of simulated patients based learning over regular classroom learning in students of MBBS Iv in the department of medicine

Bed side clinics are the gold standard but as the number of colleges is increasing the number of patients is slowly decreasing.It is practically impossible to show all the cases to the learning students.But there is a way and it is in this way that the professional actors or the doctors themselves who has knowledge of the disease can enact and thus teach the students.This study puts in a sincere effort to find the answer of which method is better.The study was done on 100 students who attended classes in the Department of Medicine from Jan 2020 to July 2020.This is an educational intervention will be done by Integrated learning for 5hrs of teaching in one month duration and performance of the students are compared for two methods along with the perception.They will be equally divided into two groups by lottery method.One batch will go for traditional lecture classes and the other will be taught using Simulated Patient based teaching.After every class the MCQ test of the students will be taken.The means of the scores will be noted.The mean of all the scores after all the three sessions will be calculated and reported.
Analysis of Mining Social Media – A Learners Perspective

In the world of digitalization the data play a key role. The data may be in structured or unstructured. The structured data uses data mining techniques to find the unknown pattern from the known data. But, the social media has huge data due to its rapid growth, the data were dynamic and unstructured. Due to this traditional data mining techniques will not be appropriate. The combinational approach of data mining and social media will provide the user to gain an insight and prominent idea how can be mined. Social media provides each individual to connect with the others depending on their interest. Every individual are accessing Face book, Twitter, LinkedIn, cademicia.edu, Google+ for sharing their views and thoughts, day-to-day happenings with any one or more of the above sites. This paper give an idea of the how those sites are classified based on their size, data, research focus, design issues and the types of the sites, types of users and the common approaches on social networks which will help the researchers how the social media, social networking websites structurally classified, studies the existing data mining techniques along with the performance metrics used in past researches and tools for retrieving social media data.
Perancangan Sistem Informasi Peminjaman dan Pengembalian BRM Rawat Jalan di Rumah Sakit Husada Utama

Borrow and return outpatient medical records at the Husada Utama Hospital in Surabaya still uses manuals by referring to the date of discharge from the hospital to search for files that have not been returned or for file tracking so that it can cause difficulties for officers in tracking outpatient medical records. Data of delay in the return of outpatient medical records in February-March 2020 counted for 117 (14.88%) of the total files late from the 786 total outgoing files. SOP (Standard Operational Procedure) that applies at Husada Utama Hospital regarding hospital service standards is explained by the medical records of Specialist Practices which are returned within 1X24 hours on the same day. While the medical record file in the inpatient room is submitted no later than 2X24 hours after the date the patient is discharged from the hospital. This researchÂ was aimed to design a web-based outpatient medical records and loan information system at the Husada Utama Hospital in Surabaya. The type of research is qualitative research with data collection methods of observation and interviews. The subjects of this research were the head of the medical record and the outpatient medical record officer. The method used by researchers is the waterfall method. The results of this research can be seen that the design of information systems for borrowing and returning outpatient medical record files are made according to the needs of users, making the system starts from the needs analysis so it produce a system design that suits your needs.