Reviewerly/exHarmony huggingface dataset:
AUTOMATIC EMPLOYEE RATING SYSTEM USING SENTIMENTAL ANALYSIS

Many sentimental analysis methods for the classification of reviews use training and test data based on star rating provided by the reviewers. However when reading reviews it appears that the reviewers rating do not always give an accurate measure of the sentiment of the review. We performed an annotation study which showed that reader perceptions can also be expressed in ratings in reliable way and that they are closer to the text than the reviewer ratings.
Foveated Facial Interaction Using Neural Networks and Eye Gaze

Non-player characters (NPC) in games are highly scripted and seldom feel natural, one aspect that is missing to produce more human-like NPCs is more believable eye movements. But scripting eye move ...
The Effect of the Intelligent Tutoring Systems on the Education

Traditional education systems have developed very slowly although they have been used for centuries and cannot handle different learning styles and preparation levels. Many students who interact with one teacher who cannot answer each student's needs are identified by this system. As a result, some students may be frustrated and unable to achieve their educational opportunities. An Intelligent Tutoring System (ITS), a software that provides students with personalized instruction tailored to the style and speed of students, is of interest to teachers to improve student learning. To assess the effectiveness of ITS, a systematic review of the latest literature was performed by using carefully renovated protocols that provide data to support meta-study of the effectiveness of ITS. The research question that guides this article is: “Does ITS enhance the education of the students more than the traditional education?” One way ANOVA test, t-test, and KNIME program were performed. The results that came from this study back the conclusion that ITS significantly improves students learning more than traditional teaching methods.
Automatic full waveform-based monitoring of induced microseismicity at Garpenberg mine, Sweden

Multiple studies have demonstrated the efficiency of automatic full waveform-based detection and localization approaches. Application of these techniques has shown significant improvement in detection capacity compared to the triggered-based system. The increased number of detected events allows to perform detailed statistical analysis of seismicity in space and time (i.e. b-value of the Gutenberg Richter law, p-exponent of the Omori law and gamma value of the inter-event times). This may permit identification of potential nucleation phases of large events using dense space-time event clusters which can provide information about stress transfer and dynamic rupture characteristics. However, real-time automatic monitoring of microseismicity in mining application is non-trivial. The two main challenges to be considered here are: high sampling rate of recorded seismic data ( kHz) and a wide range of microseismic sources (i.e. machine noise, blasts, induced seismicity). In this study, we propose an automatic full waveform-based microseismic event detection and location workflow for near-real-time seismic monitoring. We implemented and test the method on a study case of deep metal mine ( > 1km in depth) at Lappberget district of the Garpenberg mine, Sweden. The proposed method consists of two steps: event extraction and preliminary location (step 1) and relocation (step 2). Step 1 is based on multiband frequency detection and first-order amplitude ratio location. Whereas, step 2 uses backprojection technique (BacktrackBB) estimating a better constrained space-time location of hypocenters. Step 1 targets reduction of transferred 8 kHz sampled seismic data ( 60GB per day) and provides an energy-ratio-based classification of events that allows to remove machinery noise detections. We estimated that detection capacity compared to conventional triggering-based monitoring system is improved by at least a factor of 50. This increased number of detected events permits to investigate migration pattern of microseismic activity in response to production blast. The method has been implemented in a local seismic monitoring system of Ineris (France) and is consistently improved to ensure a reliable real-time detection and location.
EVALUATION OF LITERATION MOVEMENT ACTIVITIES IN SD NEGERI NO. 55 KUMUN MUDIK KOTA SUNGAI PENUH

Since 2016, the Ministry of Education and Culture has intensified the National Literacy Movement (GLN) for elementary, junior high, and high school /vocational education. A number of studies reveal the success of this program in enhancing literacy culture in schools. However, in a number of other schools there are still problems, one of which is at SD Negeri 55 Kumun Mudik, Sungai Penuh City. Therefore, it is necessary to conduct an evaluation study to reveal the extent to which GLN runs at the school. To answer this problem, this study uses an evaluative research design of the CIPP model whose components consist of context, input, process, and product, using a qualitative descriptive approach. The subjects of the study are the principal, teachers, and students, while the object is the implementation of GLN in SDN No. 55 Kumun Mudik, Kota Sungai Penuh. Data collection is done through observation, interviews, and documentation. Data analysis using the model of Miles and Huberman, which consists of data reduction, data presentation, and drawing conclusions. The findings in the context component indicate a strong relevance between GLN and the illiteracy liberation agenda; the input component shows the need for strong support from program owners, especially funding; the process components found that implementation has not been maximized; and product components show that GLN has not produced good results, characterized by the still weak reading interest in students.
A Graph-Based Text Classification Model for Web Text Documents

Internet technology has brought a substantial change to our day to day life. Nowadays, we need several digital means to automatically manage, filter, store and retrieve information from text documents. Automated text document analysis and mining are becoming an essential part of computer applications, and thus various classification and clustering approaches are required for carrying out these tasks. The classification of the documents needs to be performed over training datasets, which are further used to train the model to classify text documents into their respective text categories or domains. Thus, text analysis becomes one of the major aspects of text data mining. This chapter presents a graph-based text classification approach for analysing web text documents obtained from various online sources. Sets of text documents are represented as graph sets to which an algorithm of a weighted graph is implemented to extract subgraphs that are further used to develop feature vectors for each text document being classified. A weighted graph algorithm is chosen to extract the most relevant subgraphs, which in turn increases the classification and computational efficiency. Contrary to the traditional vector space model and bag-of-words approaches, the graph-based model performs more efficiently by considering the structural information of the text documents. Graph-based models are becoming an alternative way of representing text because of the ability to encapsulate important facts related to the text, such as the ordering of a term, co-occurrence of terms and relationships among different terms. The proposed model is validated and evaluated by using several popular classification algorithms on the obtained datasets. The performance of the system is stated in terms of precision, recall and F1 measure. Compared with different methodologies adopted by researchers, the proposed approach is found to be accurate and more efficient for classifying text documents of multiple categories.
Administration in Employee Management System

Employee Management System has been developed to manage employee details in an organization. It manages the personal information details of these employees. The application has been developed using C language. The interface is user friendly and can be used by any individual who is not even familiar with computer. The system has been designed in such a way that it asks the user to operate in a user friendly way with very limited options. It is quick and can perform multiple operation of the organization The package has been developed using C as a coding tool and has the feature of add, delete, Modify the individual details of an employee. As we know that most of the companies use this type of system to manage their employees but are coded using different programming languages. Employee Management System is an secured system and is very user friendly. The system is quite time saving and robust. It is widely used and improves the efficiency of an organization by way of managing employee details. As the world is moving towards highly secured technology, it is matter of days that such Employee Management System would replace the existing widely used manual hard copy based systems results into efficient systems reducing wastage of time and resources.
Introduction to Quantum Computing

In just hours or days, a quantum computer can solve complex problems that would otherwise take billions of years for today's computers to solve. This has massive implications for research and workforce development for healthcare, energy, and environmental systems. Microsoft is focused on bringing the only scalable quantum system to the broadest set of customers and partnering with universities to ensure that we have the people ready to staff the quantum economy and ecosystem of tomorrow.
Identifikasi Visual Cacat Produk Menggunakan Neural Network Model Backpropagation (Studi Kasus: PT. Panasonic Gobel Eco Solution)

Product defects are common in the production process. Visual identification of product defects is first carried out when the product is produced. Identification of vague defects in very small shapes with different sizes and positions is difficult to do with ordinary eye sight, so that often results in decisions about the status of the product that is not right. Product defects in visual form can be identified by patterns such as shape, size and position on the product image. In this study, we will apply a neural network with the backpropagation model as a classification of the pattern. Product images will be processed using image processing by converting the RGB pixel value of the image into a numeric value. Data in numerical form will be input for training values in the backpropagation model. Training results are used to identify identified product defects and produce product status decisions. The results show that the backpropagation neural network model is able to recognize product patterns with an accuracy of 99.24% and based on simulation test data with the final weight and bias of training results, able to identify product defects with success up to 91%.
What Does Contact Tracing Really Mean? How Governments and Citizens Contest the Meaning of Contact Tracing through Sociomaterial Practices to Achieve Societal Resilience (preprint)

During the COVID-19 pandemic, contact tracing has become part of government efforts to achieve societal resilience. The notion of societal resilience encompasses not only public health and safety of the population, but also the preservation of civil rights and liberties. Many societies have contested the meaning of contact tracing as it exacerbated a tension between public health and civil rights and liberties. In this study, we investigate how two specific societies with some similarity (South Korea and Singapore) worked out the meaning of contact tracing technologies in striving to achieve societal resilience during the COVID-19 pandemic. We draw on category research to shed light on the contestation process. We unpack the relationship between what is the meaning of contact tracing (symbolic boundaries), who is involved in it (social boundaries) and how it is materialized through specific actions and technologies (sociomaterial practices). This study contributes to category research by unpacking the role of sociomaterial practices in the emergence of a new category. It contributes to our understanding of digitally-enabled societal resilience by showing how the battle over the categorization of practices surrounding new digital technologies reflects the deeper battle over societal values worth preserving in the face of threat.
Effect of Coordinative Locomotor Training Program on Body Fat and Muscle mass of Male University students

Purpose: The purpose of this study is to find the effect of coordinative locomotor training (CLT) on body fat and muscle mass. Methods: A total of eight males were randomly assigned to two groups: treadmill exercise group (n=4) and CLT group (n=4). The intervention was performed for 30 minutes, three times a week, four weeks. The treadmill exercise was set at 6.5 intensity for 30 minutes and the CLT was at moderate intensity for the same period. To measure body fat and muscle mass, the In-body system was used before and after the intervention. Results: There was no significant difference within and between the groups. Conclusion: The result of this study shows that CLT is not effective for body fat reduction when compared with general treadmill exercise.
A Comparison of Colorimetric Performance of Oculus and HTC Virtual Reality Headsets

The colorimetric characterization of the two virtual reality headsets, namely, HTC and Oculus are compared to each other. In order to do that, first, a colorimeter is used to measure the colorimetric values of the primary ramps in a darkened and controlled environment. It is observed that the two headsets behave more or less the same with HTC outputting an overall higher level of luminance and having more consistent right and left displays. Weighted regression is also used as a means to characterize the devices and the results are compared to the traditional method of colorimetric characterization showing the superiority of the weighted regression in this case.
Successful cryptanalytic attacks upon RSA moduli N = pq

This paper reports four new cryptanalytic attacks which show that t instances of RSA moduli Ns = psqs for s = 1, . . . , t where t ≥ 2 can be simultaneously factored in polynomial time using simultaneous Diophantine approximations and lattice basis reduction techniques. We construct four system of equations of the form esd − ksφ(Ns) = 1, esds − kφ(Ns) = 1, esd − kφ(Ns) = zs and esds − kφ(Ns) = zs using N – [(a i+1/i + b i+1/i / 2(ab) i+1/2i + a 1/j + b 1/j / 2(ab) 1/2j) √N] + 1 as a good approximations of φ(Ns) for unknown positive integers d, ds, ks, k, and zs . In our attacks, we found an improved short decryption exponent bound of some reported attacks.
PENERAPAN PENDEKATAN CONTEXTUAL TEACHING AND LEARNING (CTL) BERBASIS  PERMAINAN UNTUK MENINGKATKAN MOTIVASI DAN  PRESTASI BELAJAR PKn MATERI PENGARUH GLOBALISASI  PADA SISWA KELAS IV SD 6 PUYOH

Abstract This study aims to increase the motivation and achievement of students in grade I V SD 6 Puyoh in the second semester of the 2017/2018 academic year in Civics by applying the  contextual teaching and learning (CTL)  approach based on game methods.To achieve this goal, this study was designed in two cycles. The procedure in each cycle includes the stages: 1) planning, 2) implementation, 3) observation, 4) reflection.The effectiveness of actions in each cycle is measured from the results of observations described, interpreted, and then reflected to determine corrective actions in the next cycle.Research actions taken as much as two cycles of the results obtained in the first cycle, 20 students already are 14 students or 7 0 % achieve mastery that has been set while the remaining 4 students or 30 % not achieve mastery. The highest score obtained by students is 80 while the lowest score is 50, the average student learning outcome is 74 . The increase in the average learning outcomes in the first cycle was 13% of the average pre - cycle achievement . Cycle II data shows that of the 20 students there were 19 students or 95 % had reached the specified completeness while the remaining 1 child or 5 % had not reached completeness. The highest score obtained by students is 100 while the lowest score is 70. The average student learning outcomes are 80 , 3 . Improved learning outcomes that occur in cycle II amounted to 7.5 %Depending on the action concluded the implementation of cooperative learning model to approach  Contextual Teaching and Learning (CTL)  based game method  ,  can improve student motivation and achievement of grade I V SD 6 Puyoh the second semester of 2017/2018 school year on the subjects of civics materials globalization. D ith the increasing student motivation to result in increased student achievement. Keyword : CTL, Motivation, achievement, Civics
Caratteristiche prosodiche del discorso simultaneo in italiano L2. Confronto con l’arabo e l’italiano L1

Abstract – This work presents pragmatic and prosodic analysis of elicited conversations (Find the difference and Map Task) in three ‘varieties’: Cairene Arabic, Italian (Variety of Naples) and Italian L2 of native speakers of Cairene Arabic. The analyses aim to collect data about conversational interaction in Italian L2, about the role of prosody in conversations in L2, and in particular to discover how speakers deploy prosodic resources to develop a conversation among frequent overlaps. For the pragmatic aspect, the model of Bazzanella (1994) has been used to classify overlaps. Then, the measurement of f 0 and intensity has been conducted on the collected segments of overlaps. It has been found that certain types of overlaps present higher pitch and loudness, but not only because of the overlapping. Rather, competition for the turn and addition of new information have some influence on parameters. Transfer from L1 is not proved here to be a feature of overlaps in L2.
PENERAPAN METODE BRAINSTORMING DALAM PEMBELAJARAN TEKS BERITA PADA SISWA KELAS VIII MTS. AL MUFTI

Researchers find problems in learning news text students are difficult to express ideas and and students do not understand the interesting grammar and how to identify news texts. Researchers use brainstorming models to motivate students and develop ideas and imagination in writing news texts. This study aims to determine the differences in the ability and implementation of student learning that is applied to the treatment of discovery learning models in the control class and students who are applied to the treatment model of brainstorming in the experimental class. In this research the method used is Quasi Experimental Design that is used is pretest-posttest Control Group Design. The object of this research sample are 30 students of VII-A class, and 30 students of VII-B class. When students are given treatment by applying the brainstorming model, the value obtained is very good, it can be seen from the posttest results that the average student gets a score of 81.96, compared to when students are treated (treatment) using the average discovery learning model. students only scored 76.70 .
A Study on Role of Employee Engagement in Organizational Performance and Individual Well Being

An engaged employee is one who is taking the interest in the organizational work and showing initiative in the benefit of organization. Employee Engagement has been a topic of study from many years. Many researchers in the past tried to associate it with many topics of organization and individual interest. This study is an attempt to find out the relationship of employee engagement with Organizational Performance and Individual Well-being on the basis of existing literature and research. Organizational Performance can be defined as the total of organizational outcomes while Individual Well-being is, doing the welfare of individual employee. The study is theoretical and concept based in nature.The study resulted into a significant relationship between Employee Engagement and Organizational Performance; Employee Engagement and Individual Well Being. The results were also supported with previous research findings.
Report on Access 2018 Conference

Access is a library technology conference hosted in Canada, bringing librarians, technicians, developers, programmers, and managers together to discuss cutting-edge library technologies. It is a si...
FEMALE NONVERBAL COMMUNICATION IN SELECTED IGBO DRAMA

This work is on “Female nonverbal communication in some selected Igbo drama” The society consists of male and female making them exist side by side and communicate together. This makes it impossible discussing the females in isolation of the males. Males and females characters during communication exhibit idiosyncrasies in language that show differences in gender both verbally and nonverbally. The aim of this work therefore is to investigate the females’ nonverbal communication against that of the males in the society with a culture that prioritizes the roles and communication of males against those of the females. Females most often communicate nonverbally to portray their protest and exonerate themselves from humiliation from the males. The work adopts survey design and, purposive sampling technique was used to collect data. A total of four Igbo plays were selected from three playwrights, two plays from a female playwright and two plays, one each from a male playwright. It is discovered that in the Igbo patriarchal society, females most often communicate nonverbally to free themselves from male humiliation, subjugation and also to actualize self. The study suggests that males should see their female counterparts as normal human beings and stop suppressing and relegating them to the background thereby necessitating their use of nonverbal communication to show their protest.
THE USE OF NON-STANDARD INDONESIAN LANGUAGE: STUDENTS' ERRORS IN WRITING ACADEMIC PAPAERS

Abstract : Previous research has shown that writing is one of the most difficult language skills among the four other language skills. It stems from the fact that writing is an activity of expressing ideas of the mind that requires a variety of linguistic and non-linguistic competencies. This linguistic competence includes knowledge of morphology, syntax, and discourse. In writing, a person is required to use the correct choice of standard words, compose effective sentences, and arrange coherent paragraphs. The non-linguistic competence is the knowledge of information and scientific material owned by the author. This descriptive qualitative research aims to identify the errors of IAIN Bengkulu students in writing academic papers in Indonesian. Data was collected from PGMI and PAI student theses which were then analyzed through four stages, namely preparation, data collection, data analysis, and processing/presenting the results of data analysis. The results showed that the errors that were often found in the writing of students (including lecturers) both in the form of papers and thesis included the use of standard words, affixations, and effective sentences. Practically, this research is expected to be able to provide benefits for students and other academics in writing and producing higher quality scientific work.