Reviewerly/exHarmony huggingface dataset:
Use of Technology by Teacher Trainees in Self-Financed Institutions

Education is very important for the progress of both the individual and the society.The unique contribution of education lies in making life progressive, cultural and civilized.Use of technology plays an important role for promoting relevant and interesting education.Educational technology implies the use of all modern media, methods and materials for maximizing the learning outcomes.All these methods, media and materials need be utilized in an integrated manner for ensuring optimization of learning.It would be very helpful for teachers in teaching.Now a days there are many institutions for training of elementary and secondary school teachers.But a large number of these institutions suffer from inadequate facilities -human, physical and academic to provide good professional education.Besides improving these facilities, it is necessary to provide modern media, materials and methods for accelerating the teaching-learning process.
Semantic Quantum Correlations in Hate Speeches

The intervention shows the first results of a research conducted on a corpus of 7000 posts collected on the Reddit social network during the 2016 American presidential campaign. The research is the result of a collaboration between Berkeley D-Lab, who shared the corpus, LSI - CentraleSupelec and CUBE. Thanks to funding from the Anti-Defamation League, the corpus has been labeled to apply Machine Learning techniques: 400 posts have been labeled as “hate speech” by human analysts. Galofaro, Toffano and Doan applied to both sub-corpora (hate and non-hate speeches) an analysis technique inspired by Greimas’s structural semantics, Eco’s semiotics, and Quantum Information Retrieval (van Rijsbergen).Each text was formalized as a semantic network using the HAL technique. We then measured the semantic similarity between two key words formalized as two word-vectors with the classical measure of cosine-similarity and then compared it with the degree of quantum correlation between them measured with the Born rule. This correlation, linked to the co-occurrence of the word vectors in the same contexts, extracts from the latter useful information to characterize the considered semantic relationships (“presence of correlation”, “absence of correlation” or “presence of anti-correlation”). In this way, the new technique allows to overcome some critical aspects of the Machine Learning techniques currently in use, being based on the meaning of the text and not on the way in which the human analyst labels the corpus.
An Investigation of Challenges Faced in Detecting Frauds

Bank fraud is a worldwide phenomenon that saves no establishment and not even the economy. It is essential for banks to establish effective system to prevent and detect frauds so as to decrease the chances of frauds to take place. It is important to stop the fraud from happening in the first place. The detection of fraud comes after prevention as it includes recognizing fraud as fast as possible once it has been committed. The purpose of the study is to know the challenges faced by banks in detecting frauds. The data were collected through questionnaire filled from 120 bank staff, categorised into managers and officers, of Bank of India (BOI), Bank of Baroda (BOB), Axis Bank (AXIS) and ICICI Bank (ICICI) in the area of NCR. The collected data were analyzed with the help of various descriptive statistics like frequency distribution, mean, standard deviation, etc. To check the validity of the results and test the research hypotheses, t-test and Analysis of Variance (ANOVA) techniques were used. The results show that lack of customer alertness, non-submission of reports by the customers and non-sharing of information with others are the main challenges faced by banks in detecting frauds. To overcome the challenges of frauds, it is recommended that banks must be strict in verifying the reports being submitted by the customers and report the frauds to the concerned authority as and when occurred. There must be timely completion of internal and external audits at branch level.
Analysis of Acceptance of Coursera e-learning System at XYZ College

The development of universities in the future is expected to no longer rely on building facilities as a lecture center, but rather based on information technology. XYZ University has been established since 2012 and also participates in implementing e-learning systems to support learning facilities. Therefore, this study is used to measure perceptions of student acceptance of the ease and usefulness of the e-learning Coursera system at XYZ University. This study looks for factors that can influence the acceptance of e-learning Coursera systems in XYZ University. Indicators of the factors that become this are taken from various previous studies. The research model was then tested with data from the field empirically using questionnaires. In measuring perception, the Technology Acceptance Model (TAM) method is an option to see the effect of student acceptance and compile using SMART PLS 3. The method of collecting data using a questionnaire, which means it is very dependent on the quality of the answers of the respondents, namely students. Hopefully this research can provide information about the perception of student acceptance of the ease and usefulness of the e-learning Coursera system at XYZ University. Keyword: Technology Acceptance Model (TAM), e-learning, Coursera, SMART PLS 3
Problematics Listening Learning in University

This study aims to explain the problem of listening learning at the higher education. The method used is a descriptive qualitative method. The data source was obtained based on the results of interviews or questionnaires with Listening lecturers in 5 universities. The determination of the sample is based on purposive sampling because it relates to experts in the field of science. Data collection techniques are carried out through the distribution of questionnaires from google forms. The questionnaire consisted of 11 questions regarding difficulties or obstacles in the listening learning process. Data analysis techniques through the stages of recording data, organizing data by category, and describing data. The results of data analysis showed that there were some weaknesses in listening learning: (1) teaching materials, (2) learning media, and (3) facilities and infrastructure, and (4) listening learning evaluation. The results of this study are part of the research stage of developing interactive learning media for listening to higher institutions so that they become input in the design of listening learning media design intended for students of Indonesian Language and Literature Education study programs in higher education.
Characteristics of seismic activity of Villarrica Volcano

&amp;lt;p&amp;gt;Villarrica is one of the most active and &amp;lt;span&amp;gt;dangerous&amp;lt;/span&amp;gt; volcanoes in Chile. During the last decade it consisted of a single open vent hosting an active lava lake which produced mild stombolian explosions, persistent tremor and continuous degassing.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We present an analysis of the seismic activity of Villarrica between 2010 and 2012. Periods of increased lava lake activity are characterized by numerous small transient events which exibit a variety of waveforms and spectral characteristics. Statistical analysis of interevent times revealed a periodic occurrence. At comparable volcanic systems (Stromboli, Erebus), such distributions of events indicated unusual periods of activity corresponding to magma injection. Methods of blind signal separation (ICA, PCA) were used to analyse the wavefield. While regional and local tectonic earthquakes can easily be separated, the tremor and transient events from the crater can not.&amp;lt;/p&amp;gt;
Indonesian High School Students’ Reading Strategies in Foreign Language Learning

This article aims at finding out the reading strategies used by Indonesian 10 th graders. This research uses survey in collecting data. To achieve the objectives, 104 questionnaires were administered to all participants. The researcher used mean as the measurement to determine the category of usage level for each category of reading strategy. The survey questionnaires are those developed by Mokhtari and Sheorey (2002) named Survey of Reading Strategies (SORS). The reading strategies here are based on the SORS questionnaire which is global reading strategies, problem solving strategies, and support strategies. The research found that students’ usage on reading strategies is high with students’ preference of problem solving strategies. Some suggestions are made by the researchers regarding with the finding and discussion of this study. The suggestions are made for the English teacher which can help them to enhance the student’s learning better, as for the students can make them know about how to apply reading strategies used by them well, and also for the next researcher that have similarities with this study can use this study as the reference or as an introductory research.
METAFORA KONSEPTUAL DALAM LUKAS GRAHAM 3 THE PURPLE ALBUM: ANALISIS SEMANTIK KOGNITIF

This study is a cognitive semantik analysis regarding the use of metaphors in song lyrics. The method used is the descriptive qualitative. Lukas Graham is a band from Denmark. The data were taken from 10 songs of Lukas Graham’s 3 The Purple Album. The aims of this study are to discuss (1) metaphorical characteristics in Lukas Graham’s 3 The Purple Album, (2) metaphorical types in Lukas Graham’s 3 The Purple Album, and (3) image schemes contained in Lukas Graham’s 3 The Purple Album. The theory used are the conceptual metaphor of Lakoff and Johnson (2003) as the main theory and the image scheme of  Croft & Cruse (2004). The result showed 21 data of conceptual metaphor with 15 ontological metaphors, 2 orientational metaphors, and 4 structural metaphors. The ontological metaphors is the most dominant in Lukas Graham 3 The Purple Album. The image scheme found in the study were 3 scheme containers, 3 scheme unities, 9 scheme existences, 4 scheme identities, and 2 scheme spaces. The data has a pattern of 1) ontological conceptual metaphor has container, existence, and unity image schemes, 2) orientational conceptual metaphor has space image scheme, and 3) structural conceptual metaphor has identity image schemes.
Computational Approach for Character Identification and Retrieval of Grantha Inscription

Computational Epigraphy plays a significant role to extract the information about the cultural heritage of various civilizations of the dynasty which includes rich political thoughts, literature, mythology, architecture, medicine, script evolution, etc. Traditionally the study of the epigraph is performed manually and hence the quantitative analysis of script is required.The proposed methodology recognizes the ancient Grantha script.Our approach, builds a K-Nearest Neighbor predictive model, replacing the data to function as a classification basis.Automatically the value of K is calculated as it varies for several data, and is optimized in terms of efficiency.The advancement in computer vision techniques has supported various types of real-time application tasks.One such task is the ability to recognize a character or normally referred to as OCR.There are also several types of algorithms that can be transposed into an OCR.This work aims at figuring out the process behind the OCR model by using K-Nearest Neighbor algorithm and a basic OCR system is developed to identify Grantha script for generating and comparing actual results.The initial step is to train the machine to recognize the ancient character by using the classification algorithm K-nearest neighbor with Laplacian of Gaussian (LoG) filter.This framework obtained the prediction rate of 91% with 800 samples per character for recognizing the ancient script
Особистісні детермінанти кар'єрної спрямованості дівчат студентcького віку

The master's thesis presents the theoretical and methodological analysis of the study of personal determinants of the orientation of female students. An empirical study of various aspects of the professional development of personality, namely, the diagnosis of psychological characteristics and gender characteristics of the individual, the motivation to achieve, career anchors and individual value orientations. Developed and implemented in the educational process of the Faculty of Psychology and Pedagogy Program for the development of professionally directed leadership skills for students of college age.Keywords: career, value orientations, orientation, leadership skills, motive, motivation, personality.
Research Guides: Finding Open Datasets: United States

Looking for open datasets? This guide provides access to reliable open data repositories and information about open data.
Sentiment Analysis of Shakespeare’s Othello

초록·키워드 목차 오류제보하기 In this paper, I describe how to perform computer algorithm-based emotional analysis on Othello among Shakespeare"s works using R programs. The main results of this study are as follows. First, words with an occurrence frequency of more than 20 times were extracted from Othello. The frequency of occurrence of several words was relatively higher than that of other words. Second, there are more words in Othello that have negative emotions than positive emotions. These results coincide with the overall character (i.e., tragedy) of this work. Third, this tendency becomes stronger as it goes to the second half of the play. These days, called the era of the 4th Industrial Revolution, are rapidly introducing the global network environment and information technology. Reflecting this trend, the cultivation of industrial-type convergence talent is becoming a hot topic in universities, which seek to remove new barriers between academic disciplines and create new knowledge. In this context, this study has significance in that it embodies the practical convergence of literature and engineering on the basis of realistic convergence education. #sentiment analysis #Shakespeare #Othello #R program #감성분석 #셰익스피어 #오셀로 #R 프로그램 Ⅰ. 서론Ⅱ. 이론적 배경Ⅲ. Othello 감성분석Ⅳ. 결론 및 논의인용문헌Abstract
Research on coVID-19 Public Opinion Guidance Strategies based on Social Media

Objective: To study effective public Opinion guidance Strategies for COVID-19 To help create a good public opinion atmosphere To combat the epidemic Methods: Between January 2020 and May comments under the ＂People's Daily,＂ the Official blog of data as the Basis, Combining with the status quo at home and abroad, The status quo analysis was carried out on the outbreak of the New Champions League Public Opinion, and text Mining, LDA Subject to review data Modeling analysis, On the basis of emotion classification to further explore the influence factors of positive and negative emotions The public paid more attention to The information of epidemic prevention and control, Resumption of work and prevention and control measures The factors influencing people's positive emotions include The advanced typical, of fighting against The epidemic and The firm faith in Defeating the epidemic The negative emotions of the public are affected by the severe situation of the epidemic, the delay in returning to work and school, And the impact of entry and exit on an epidemic prevention and control Conclusion: Suggestions and puts forward from three aspects:＂Authoritative information report is timely and effective＂, ＂temperature ＂publicity stimulates positive energy＂ and ＂innovative publicity strengthens the public opinion guidance＂
Heavy Metals Geochemistry and Pollution Status of Coastal Sediments in Ayetoro Area, Southwestern Nigeria

Coastal sediments from Ayetoro, South-western Nigeria were systematically sampled and analysed for their heavy metals concentration. Fifteen costal sediment samples were taken using a Vanveen grab at sampling thickness and density of 10cm and 100 m respectively, while the depth of sampling was determined using single point Echo sounder. The heavy metals analysed were Cadmium (Cd), Lead (Pb), Copper (Cu), Nickel (Ni), Iron (Fe), Manganese (Mn) and Zinc (Zn) with Model 210 VGP Buck Scientific Atomic Absorption Spectrophotometer. The results showed that the respective locations are contaminated with metals from both geogenic and anthropogenic sources. SS15 (Eyin-more) is shown to be very strongly polluted with Cd and Pb whereas, PLI values of 1.06, 1.10 and 2,76 indicates that SS1, SS6 and SS16 have very high level of metal toxicity while other locations remain unpolluted. The average concentration of the heavy metals range from Fe with the highest concentration (15313.05 - 38399.11) mg/kg, followed by Pb (17.94-165.57) mg/kg; Zn (28.81-125.59) mg/kg; Cu (16.73-112.59) mg/kg, Cd (0.05-22.75) mg/kg and Ni (3.75-17.96) mg/kg with the lowest concentration. The average Enrichment Factor values showed that Cd and Pb has significant enrichment (7.67 and 5.71), followed by Cu, Ni, Zn having deficiency to minimal enrichment (1.31, 0.17, 1.02) whereas Cd and Pb is significantly enriched in all locations. This could be as a result of oil pollution from exploration and exploitation activities, improper waste disposal and industrial effluents which can result to brain damage, increasing the biological oxygen demand (BOD) of living organisms in the sea, destruction of the ecosystem and their food chain and web relationships, infant mortality as well as pollution of domestic and portable water sources. The dominance of Fe-Zn-Pb-Ni metal associations signified zinc ores or massive sulphide mineralization in the studied area. The coastal town of Ayetoro should be given more attention in terms of Environmental Safety Enforcement by the government.
Entropy Feature Based Outlier Detection using ANN for WSN Application

Wireless sensor networks (WSNs) are composed of a large number of tiny sensor nodes deployed in an environment for monitoring and tracking purposes.Sensor nodes use ad-hoc communications and collaborate with each other to sense different phenomena that may vary in time and space, and send the sensed data to a central node for further processing and analysis.An anomaly is an observation in a data set, which appears to be inconsistent with the remainder of that data set.The dynamic environment of network and roughness of the working condition are also responsible to generate inaccuracy in measurements.In this paper, an approach for outliers detection based entropy value of received sensor voltages is applied using ANN prediction model .The algorithm development and analysis involves a real time database generated on 14 sets of MICA2 wireless sensor kit with anomaly inserted by real time motion based intrusion in the lab by volunteers from Intel Berkeley lab.On each sensor data pair segmentation is applied by fixed window size in order get large outliers' measurements training dataset.The analysis demonstrates the measurement accuracy in detection of number of outliers that its 86%.Moreover, the algorithm also provides an analysis in terms of impact of variation in learning types and number of nodes in the ANN prediction model.This work is helpful in the application in the situations where high amount of noise or distortions are present.The outlier part from distorted data can be figured out and recollected to enhance application accuracy.
Festivals Prevalent in Garo Society: A Discussion

The DevOps model ensures that the organization's growth and processes are work together. As far as security is concerned, DevOps security tools are significant in relaying information on external attackers which can be traced back to development, allowing for quicker elimination of potential vulnerabilities. It is a process that is particularly critical in cloud deployments, whereby release intervals can be less than24 hours. This paper will explore how DevOps can be used in cloud solutions to increase the overall security of systems and applications [1]. DevOps delivers improved automation across the product delivery chain, prevents errors, nullifies risk and downtime, and enables security to be further integrated into the cloud environment. The paper covers the main facets of DevOps in securing cloud solutions with examples provided on practical applications by companies like IBM. The significance of the research to the U.S is also covered especially for organizations looking to secure their serverless systems.
Self-dual codes over F_q+uF_q+u^2 F_q and applications

Self-dual codes over finite fields and over some finite rings have been of interest and extensively studied due to their nice algebraic structures and wide applications. Recently, characterization and enumeration of Euclidean self-dual linear codes over the ring~$\mathbb{F}_{q}+u\mathbb{F}_{q}+u^2\mathbb{F}_{q}$ with $u^3=0$ have been established. In this paper, Hermitian self-dual linear codes over $\mathbb{F}_{q}+u\mathbb{F}_{q}+u^2\mathbb{F}_{q}$ are studied for all square prime powers~$q$. Complete characterization and enumeration of such codes are given. Subsequently, algebraic characterization of $H$-quasi-abelian codes in $\mathbb{F}_q[G]$ is studied, where $H\leq G$ are finite abelian groups and $\mathbb{F}_q[H]$ is a principal ideal group algebra. General characterization and enumeration of $H$-quasi-abelian codes and self-dual $H$-quasi-abelian codes in $\mathbb{F}_q[G]$ are given. For the special case where the field characteristic is $3$, an explicit formula for the number of self-dual $A\times \mathbb{Z}_3$-quasi-abelian codes in $\mathbb{F}_{3^m}[A\times \mathbb{Z}_3\times B]$ is determined for all finite abelian groups $A$ and $B$ such that $3\nmid |A|$ as well as their construction. Precisely, such codes can be represented in terms of linear codes and self-dual linear codes over $\mathbb{F}_{3^m}+u\mathbb{F}_{3^m}+u^2\mathbb{F}_{3^m}$. Some illustrative examples are provided as well.
РОЗВИТОК ПРОФЕСІЙНОЇ КОМПЕТЕНТНОСТІ ВИКЛАДАЧА У ПРОЦЕСІ МЕТОДИЧНОЇ РОБОТИ

The paper presents an effective way to increase the professional competence of the teacher - his involvement in methodological activities. Actualized the problem of the need to ensure coordination method agencies universities and colleges; analyzes the content of methodical work in universities and colleges, the state of scientific and methodological support of educational process these establishments, the outlook for methodological coordination of activities in inter-university space; compared methodical work of associations of secondary schools from teaching university services; detailing the main tasks of methodical teacher of high school and college functions methodical service institutions; actualized the problem of the need to improve the professional competence of the teacher methodological institutions; presented algorithm for frontal inspections as a means of determining the actual performance of the teacher.Attention is drawn to the fact that the modernization of education development includes the need to change attitudes concerning the role of methodical service as a key element in the development of professional competence of the teacher. Key words: professional competence of the teacher, methodical work, higher education institution, college, methodological service, methodology association.
Efectos de la brecha digital sobre la población de estrato cero y uno en Bogotá

In a volatile environment such as the current one, it turns out to be important that the majority of the population be part of the developments and advances that occur day by day. One of the fields with the highest rate of progress is the technological field; however, the percentage of people who do not have access to digital technologies is currently higher compared to those who do.In some articles and reports produced by universities and organizations, it has been concluded that there is a relationship between the quality of life of people, access to TICs and the development of the territories where they live. This document makes use of published data by the Mayor of Bogota, MinTic and other entities; foregoing, in order to describe the effects of distancing access, use and appropriations of TICs from the population of Bogota with a lower socioeconomic level.