Reviewerly/exHarmony huggingface dataset:
Vehicle Surveillance and Tracking using Background Segmentation

A significant initial step for video investigation is Background Subtraction and it is utilized to find the objects of enthusiasm for additional prerequisites. Foundation deduction approach is a general technique for movement recognition strategy, which proficiently utilizes the distinction of the current picture and the foundation picture to recognize moving articles. Here the proposed calculation is known as Mixture of Gaussian (MOG) process. This goes under a quality investigation calculation for pictures, which could be handled in the recordings and casings. A methodology is utilized alongside the Kalman channel for outline by outline identification. At that point the MOG is utilized naturally to gauges the quantity of blend parts required to display the pixels foundation shading dissemination. Here executes the foundation concealment for static and dynamic foundation pictures without utilizing any reference foundation pictures, and furthermore smother the clamor out of sight picture's shadows. Kalman channel is a channel that contains strategies portrayed by inferior computational expense and depends on a strong factual model, on a heartiness level. At long last, the fragmented foundation picture is acquired with acceptable execution. At that point the key of this technique is the instatement and update of foundation picture and recognition of moving article, which is likewise exact.
To Use or Not to Use Monroe’s Sequence for Reading? A Preliminary Study

Developed by American psychologist, Alan Monroe, Monroe's Motivated Sequence is believed to be a well-used and time-proven method to organize oral presentations for maximum impact.However, literature indicates that its potential for use in reading development may have been overlooked.This paper reports the findings of a preliminary study which aimed to determine the feasibility of using the 5-step Monroe's Motivated Sequence for reading assignments to a group of aspirants for Catholic priesthood in a Formation House in Malaysia.A phenomenological research was conducted on ten participants between February and June 2019.The objectives of the study were to describe how the 5-step Monroe's Motivated Sequence influences reading behaviors and to explore how it provides the scaffolding for the participants to select their reading materials and the relevant information before they verbally share the information in a class presentation.Through focus group interviews and observations during class presentations, it was concluded that the 5-step Monroe's Motivated Sequence can be used as scaffold for reading activities as it enthused the participants to engage in extensive reading particularly reading materials online.However, the study also suggests that refinement on each step of the Monroe's Motivated Sequence is essential for ESL readers.Some details need to be provided in the steps to form solid scaffolding for the participants to understand better how selection of reading materials and appropriate information can be effectively done prior to oral presentations.This preliminary study managed to ascertain an important aspect that needs fine-tuning before the main study is done.
The Cubing Technique: A Technique in Pre-Writing to Improve Students’ Writing Skill

In the context of teaching writing, students are required to get better result in writing any kinds of text.However, students are still encountered problems in writing, such as not all writing stages are done.Specifically, students did use a certain technique on the prewriting stage.Therefore, they easily faced problems in producing and organizing ideas, and developing them into good paragraphs.Therefore, the researcher conducted research concerning the use of the cubing technique in order to improve students' writing skill.This research is an action research.The participants of this reserach was 4A class of the fourth semester of IAIN Kerinci.This research employed two kinds of data collection techniques; quantitative and qualitative data collection techniques.The findings showed that the cubing technique improved students' writing skill.It can be seen from the result of students' writing.It can be seen from the increasing of students' score in cycle I, cycle II, and cycle III.Based on those findings, it was concluded that the students' writing skill got improvement through the cubing technique.
Mengembangkan Pengetahuan Metakognisi Anak Usia Dini di PG/TK Melalui Evaluasi Kegiatan Cerita-Rencana-Evaluasi dan Diskusi Hasil Karya [Improving Metacognition Knowledge in Early Childhood in PG/TK Using Evaluation of Story-Plan-Review and Portfolio Discussion]

&lt;div&gt;&lt;p class="1eAbstract-text"&gt;Metacognition skill is important for every individual to be able to understand their own way of thinking and to choose the most appropriate strategy for himself. Stimulation to develop metacognition skills in early childhood can be done through routine (Story-Plan-Review and Portfolio Discussion) which is a series of activities consisting of Metacognition components performed by children every day. This routine makes the children being trained to be able to think about how they think automatically because of habit factors. The result of metacognition knowledge assessment shows that 90% of respondents were able to identify things that they consider can facilitate themselves in doing a task, while 87% of respondents were able to identify the things that they perceive can complicate themselves in finishing a task. 87% of respondents can also explain that they have chosen to do things that they consider can make it easier and try to avoid or find a way out to deal with difficult things when completing a task. 12 students who are able to answer 9 questions from 10 questions asked by researcher about metacognition knowledge are the students that present at least 88% of total effective days in academic year. From the findings above it can be concluded that metacognition can be developed in early childhood through routine activities.&lt;/p&gt;&lt;/div&gt;
Automated Collection System Using Tablets and GIS

The possibility of retrieving the information and location from several users. The application has help screens, generate dynamic reports, validate data, Determine the track for collectors and display it on an electronic map. Display the places of traders on the electronic map, collect from the subscriptions and service charges from Chamber of commerce through the Tablet application. The data entry in the field using Tablet and automatically save the coordinates of the store and display the location on a map. The general framework has been developed for the design of the system according to the rules and goals of Chambers of Commerce in Egypt to control the collectors and facilitate the collection process, decrease the errors and follow up the collections on a geographic map. Contributions are automatically calculated by the application. Using this application we can verify if the collector already went to the store or not and control them, also we can print a receipt on the site. The application can display the stores on Google maps. Three applications are built, application for the Tablet, electronic web site and GIS website. The application can be used on line and off line. We can use the online website or off line. It can also produce reports for the stores who paid on time or paid late and determine the collection rates or the collection percentage. The applications are developed using VS2013 and SQL 2008.
Blockchain and its Application

In this research investigation into Blockchain Technology, its current use and other possible implementation of this protocol are explored. Blockchain offers opportunities for developing advanced digital services. While current research on this becoming the most important issue which must be well addressed. As part of the fourth industrial revolution since the invention of the steam engine, electricity, information technology, Blockchain Technology has been applied in many areas such as finance, judiciary, and commerce. In this current paper, we focused on its potential Voting Application and explore how Blockchain Technology can be used to solve Health Care Issues, Land Registry, Any Financial Sector, etc. Some innovative applications of using blockchain technology for different sectors we also discussed.
Religious and cultural space of Chasovennye Old Believers in illustrations to their new-printed books

Literacy is a basic element of Old Belief culture. Alongside with early printed books being retained and reproduced, script books and manuscripts have always been an integral part of the movement. To a large extent, the tradition was maintained by the Chasovennye (“chapel goers”, a non-priestly faction among Old Believers), who strictly adhered to the rule of never publishing their literature in “external” printing houses. In Yenisei Siberia, where they owned no printing housess, skete scriptoria were used as workshops for manuscripts to be hand-copied, illustrated and bound, thus producing handmade books. However, the ongoing process of creating the literature they required and the growing social demand for it provided the impetus for the developing soglasie (accord) to reconsider a number of doctrinal attitudes and principles and to start producing their own books, first hand-written and then printed in semi-uncial script (poluustav), in printing houses located in cities. These new-printed books were the phenomenon of the contemporary culture of the Chasovennye Old Believers in Krasnoyarsk region, Tuva and other regions of the country and in the world.&#x0D; Along with the textual content of the books, of great interest is the tradition of illustrating them, inseparably linking the tradition of in designing Old Believers’ printed books and manuscripts, to the innovative approach manifested in the apparent influence imposed by Russian and foreign (predominantly American) art with which contemporary skete indigenes are well acquainted. The evident traces of such influence are indicative of the general character of the group’s contemporary culture evolving. &#x0D; Of particular interest are the ways of portraying characters, objects, and loci of religious and cultural space of this relatively closed group. If considered from a comprehensive perspective, they represent visual self-reflection of their church. Their interaction with the text, on the one hand, allows implementing the doctrine, and on the other hand, manifests the logic of contemporary development of skete art. Thus it becomes possible to trace the development of both the artist’s mindset and that of the addressee of the artist’s works, that is members of the of Chasovennye accord.
Enhancing Learners’ Oral Fluency in Using English Through TBLT Approach at the Universitas Negeri Padang

Task-based Language Teaching Approach (TBLT) has been introduced in the Asian language Classroom for a couple of decades [1] due to its effectiveness of learners' language development but when it comes to implementing and research of TBLT in higher education language classroom, little attention has been paid as a result, learners' English language proficiency in particular in the aspect of oral fluency is limited.Therefore, this research aimed to fill the gap to enhance learners' oral fluency through the TBLT approach at the higher education level with classroom-based action research.The results discovered that learners' oral fluency has developed slightly during the period of the TBLT approach in the classroom.Oral fluency was assessed in the format of the IELTS Speaking test with the trained IELTS examiner as an inter-rater and researcher himself and therefore learners were scored on the scale of IELTS band descriptors.Data were analyzed with Heaton formula and interview for descriptive purposes and employed Wilcoxon Sign-rank test for the quantitative analysis.
Deep Convolutional Neural Network based Image Steganogrpahy Technique for Audio-Image Hiding Algorithm

Steganography is one expanding filed in the area of Data Security. Steganography has attractive number of application from a vast number of researchers. The most existing technique in steganogarphy is Least Significant Bit (LSB) encoding. Now a day there has been so many new approaches employing with different techniques like deep learning. Those techniques are used to address the problems of steganography. Now a day’s many of the exisiting algorithms are based on the image to data, image to image steganography. In this paper we hide secret audio into the digital image with the help of deep learning techniques. We use a joint deep neural network concept it consist of two sub models. The first model is responsible for hiding digital audio into a digital image. The second model is responsible for returning a digital audio from the stego image. Various vast experiments are conducted with a set of 24K images and also for various sizes of images. From the experiments it can be seen proposed method is performing more effective than the existing methods. The proposed method also concentrates the integrity of the digital image and audio files.
Developing Personas to Inform The Creation of Novel Interventions to Improve Participation Among People With Stroke During COVID-19

Research Objectives: To identify commonly reported cognitive-communication problems after mild traumatic brain injury (mTBI), and to describe the relationship between cognitive-communication complaints and referral for speech-language pathology (SLP) services.Design: Pre-post design.Setting: Outpatient specialty clinic.Participants: Participants were 41 English-speaking adults and adolescents between the ages of 14 and 65 (M=29.17,SD=13.66) with uncomplicated mTBI; 23 participants repeated measures at discharge.Interventions: Survey completion at first visit and discharge.Main Outcome Measures: LaTrobe Communication Questionnaire (LCQ), Post Concussion Symptom Scale (PCSS), and SLP referral were the main outcome measures.Demographic information and injury characteristics were also extracted from participants' medical records.Results: Participants reported more problems with speaking too slowly (M=1.68),participating in group conversations (M=2.20), and three other issues at their first visits than published norms.According to Wilcoxon Signed-Rank test results, communication complaints decreased significantly by discharge (V=165, p=.005).Regression analyses showed that LCQ scores were related to PCSS scores (b=0.25,p < .001).Although the total LCQ score was not related to SLP referral, seven LCQ items (e.g., "Leave out important details," "Go over and over the same ground," "Need a long time to think") were found to be significant predictors (OR=2.42-4.87,p < .04).Besides LCQ items, PCSS scores were also predictive of SLP referral (OR=1.04,95% CI=1.01-1.08,p < .01).Demographics variables and injury characteristics were not significantly associated with LCQ scores or SLP referral in the current sample.Conclusions: A subset of individuals experiences communication problems post concussion.Those who reported communication problems were more likely to be referred to SLP rehabilitation.Future research should examine the usefulness of communication items in directing rehabilitation pathways.
Research and Publication Ethics

Research is an effort to seek the truth and communicate it. In the process, participants or subjects of research must be recognised and respected, and the principles of research ethics must protect the vulnerable from exploitation. The researcher must do the reporting of research findings with honesty and professionalism. Non-adherence to the above principles in the early research period resulted in gross abuse of personality and autonomy. Research is now subjected to rigorous scrutiny to stem the tide of abuse and ascertain and guarantee the sanctity of the research participants, process and product. These are the fundamentals of the practice of ethics in both research and publication. In effect, this paper aims to address ethics and its application to research and publications.
Text in the Internet: Non‐Classical Trends in Media Research

The paper examines the specificity of hypertext as format of information recording on the Internet.Internet hypertext characteristics be-ing unique, the a priori co-authorship of the sender and addressee is essential.Analysis of Internet text properties testifies to the emergence of texts of a new type.
Monitoring Student Achievement with Cognitive Diagnosis Model

In this study, it is aimed to show how student achievement can be monitored by using the cognitive diagnosis models. For this purpose, responses of the 6th, 7th, and 8th grade Mathematics subtests of High School Placement Tests (HSPT) in 2009, 2010, and 2011, which provide longitudinal data, were used, respectively. There were 49933 examiners’ responses in data sets. The attributes examined by these tests were determined by the Mathematics experts, and the Q matrix consisting of five attributes was developed. As a result of the analysis, it was seen that the largest latent class for all three years consisted of those non-master for any attribute. It was observed that the probability of attribute mastery increased in the 7th grade and decreased in the 8th grade. The high classification accuracy seen as a result of the analysis applied to HSPT, which is not intended for the cognitive diagnosis, shows that the results can be used for monitoring student achievement.
Assess Reliability Parameters of an Electronic Voting Machine using a Neural Network Technique

The structure of Electronic Voting Machine (EVM) is an interconnected network of discrete components that record and count the votes of voters. The EVM system consists of four main subsystems which are Mother board of computer, Voting keys, Database storage system, power supply (AC and DC) along with various conditions of functioning as well as deficiency. The deficiency or failure of system is due to its components (hardware), software and human mismanagement. It is essential to reduce complexity of interconnected components and increase system reliability. Reliability analysis helps to identify technical situations that may affect the system and to predict the life of the system in future. The aim of this research paper is to analyze the reliability parameters of an EVM system using one of the approaches of computational intelligence, the neural network (NN). The probabilistic equations of system states and other reliability parameters are established for the proposed EVM model using neural network approach. It is useful for predicting various reliability parameters and improves the accuracy and consistency of parameters. To guarantee the reliability of the system, Back Propagation Neural Network (BPNN) architecture is used to learn a mechanism that can update the weights which produce optimal parameters values. Numerical examples are considered to authenticate the results of reliability, unreliability and profit function. To minimize the error and optimize the output in the form of reliability using gradient descent method, authors iterate repeatedly till the precision of 0.0001 error using MATLAB code. These parameters are of immense help in real time applications of Electronic Voting Machine during elections.
Assessment in Teaching English for Special Purpose at Tan Trao University

As English is used more and more in professional fields and is an important communication tool at work, the teaching of English for Special Purposes at universities and colleges in Vietnam needs more and more attention. more. With the aim of improving the effectiveness of teaching and learning English for Special Purposes, this article explores the current situation of teaching English for Special Purposes at Tan Trao University, evaluates programs, materials, teaching methods and topics. Exams for English for Special Purposes courses. Through surveying students, interviewing teachers, attending teachers who are directly involved in teaching and learning English courses, and analyzing documents related to English for Special Purposes courses, research The research has pointed out the advantages and disadvantages of the English for Special Purposes courses and proposed improvement solutions to improve the training efficiency of the modules. The research results have reference value for other Vietnamese universities with the same educational background.
An Efficient Teaching Model of International Cooperation Based on Artificial Intelligence

International cooperation in running schools has promoted the scale of higher education and trained a number of talents with international vision. However, there are many differences between domestic teaching and foreign teaching in the international cooperation in running schools. This makes it difficult for students to adapt to the teaching of foreign universities. Connecting domestic teaching with foreign teaching and solving the problem of differentiation has become an important issue in international cooperation in running schools. In order to improve the quality of international cooperation of high education, it is very urgent to design an efficient model of international cooperation. We exploit artificial intelligence to design a teaching model of international cooperation. We implement the effective model of international cooperation in logistics management and software technology, where the implementation results show that the model can provide learning suggestions of the foreign stage according to the learning situation of the domestic stage.
Analisis Kesalahan Pemakaian Huruf pada Surat Dinas Di Desa Karangmalang Kabupaten Kudus Tahun 2020

In the activity of making official letters, the village secretary still made many mistakes. Errors in writing official letters are caused by linguistic errors in spelling elements. The existence of spelling errors is due to the village secretary's understanding of the linguistic rules of the spelling element is still lacking and there are indications of neglect of language rules in writing official letters. One way to solve problems that can be used to minimize errors in writing official letters is to conduct research on spelling error analysis. In general, the purpose of this study is to examine forms of writing errors that focus on spelling contained in the official letter of Karangmalang Village, Kudus Regency in 2020. The type of research used is descriptive research with a qualitative approach. The research design used case studies. This research was carried out by taking an official letter in Karangmalang Village, Kudus Regency in 2020 which was addressed at Sudimoro-Karangmalang Street, Gebog District, Kudus Regency. This study used a data validity test technique in the form of triangulation of data sources. The data analysis technique used is Flow Analysis Models or what is usually called flow analysis. Based on the results of the study, it can be seen that the errors that are often found are errors in the use of italics as many as 69 errors, errors in the use of bold letters as many as 89 errors, errors in using periods of 39 errors. The cause of speech errors in writing official letters in Karangmalang Village, Kudus Regency in 2020 is the lack of understanding of the village secretary regarding the use of spelling in accordance with the guidelines. The village secretary did not understand the guidelines for writing official letters, so an error occurred because they used an inappropriate standard and had become a habit in writing official letters. Awareness in writing official letters is minimal due to the inefficient supervision of letters to be given to other institutions.