Reviewerly/exHarmony huggingface dataset:
The Students’ Errors in Speech Production on Interpersonal Speaking Class

The research aims to investigate the students’ errors in speech production, to know the types of errors and the dominant errors that the first semester English Department students did in interpersonal speaking class. The research method used in this research was descriptive qualitative research. The subject of the research was the first semester English Department students. They were 30 students. They were selected randomly. The data was collected through observation and tape recorder. The instrument of the research was oral test. The data was analyzed by using Clark and Clark theory. The result of the research shows that there are six students’ errors in speech production. They are silent pause (54,15%), filled paused (9,74%), repetition (32,95%), unretraced (0,29%), correction (1,72%) and slip on the tongue (1,15%). The dominant errors in speech production is silent pause. The source of errors are cognitive reason, social reason, and psychological or affective reason. Besides that, students’ errors are also found in linguistic competence such as grammatical and pronunciation. And the causes of errors in linguistic competence are first language (mother language), translation, carelessness and language transfer.
EDUCACIÓN CONTINUA EN TIEMPOS DE PANDEMIA, UN RETO PARA LOS MAESTROS DE INGLÉS EN UNIVERSIDADES PRIVADAS EN MÉXICO: EDUCACIÓN CONTINUA EN TIEMPOS DE PANDEMIA, UN RETO PARA MAESTROS DE INGLÉS

With the arrival of SARS-CoV-2 (Covid 19) all spheres of human life have been modified. Education has also suffered this sudden and aggressive change. Without the possibility of physical contact, learning based on social interaction has become more complex, such is the case of English teachers who work in private schools in Mexico. Much of their training consisted of face-to-face courses in which there was a socialization relationship between facilitator-learner and learner-learner. According to the socio-constructivist scope, social interaction is vital to generate an effective learning process. It is in this context that the question arises, in what way does the private university English teacher continue his/her training in the context of a pandemic? The participants were 5 English teachers who are working online, the information was obtained through an in-depth interview, this interview was conducted online. The information processing was carried out using Atlas ti 8 qualitative analysis Software. The main findings are related to the problems of virtuality, the redefinition of socialization, technology as a means of learning and autonomy as an inherent value of lifelong education. It is concluded that continuing education is perceived as a mechanism for adaptation to changing, adverse and unprecedented circumstances.
The Applications and Drawbacks of Emerging AI Framework in Online Education Field

With the rise of the fourth revolution of science and technology, artificial intelligence is pushed to the forefront of the world; Under the attention of the world again and again to upgrade innovation, gradually permeability; Under the attention of the world again and again to upgrade innovation, gradually into the people of various fields, including the education industry. Education is the foundation of training talents, its purpose is to improve the person’s intelligence and a kind of activity, and artificial intelligence are pretty much the same.
Study Guides: Physics: Finding Books

This guide provides an overview of key resources available for Physics, and some strategies to effectively find high quality information.
Analysis of Experimental Solar Radiation Data for Osogbo, Nigeria

An analysis of measured global solar radiation (GR) in Osogbo (7.77oN, 4.57oE, 288m) is presented in the form of hourly average, monthly average and percentage frequency distribution. The experimental data corresponds to a year data of 2017. The results reveal that the monthly average values of daily total radiation exhibit seasonal variation with maximum value in dry season month of March (16.59MJ/m2) and minimum value in wet season month of August (8.98 MJ/m2). The annual average GR value is 14.20 MJ/m2 while the annual cumulative GR is 5122 MJ/m2. The solar radiation climate of Osogbo has also been compared to those reported for a number of locations. The percentage frequency of days possessing irradiation rate greater than 15 MJ/m2 is 14 percent whereas that possessing less than 10 MJ/m2 is 61 percent. We conclude, based upon the above analysis that Osogbo is characterized by relatively low global solar radiation.
A comparison study on fuzzy time series and holt-winter model in forecasting tourist arrival in Langkawi, Kedah / Nurul Shahiera Ahmadi

Tourism industry in Malaysia has been growing significantly over the years. Tourism has been one of the major donors to Malaysia’s economy. Based on the report from the Department of Statistics, a total of domestic visitors in Malaysia were recorded at about 221.3 million in 2018 with the increase of 7.7% alongside a higher record in visitor arrivals and tourism expenditure. This study aims to make a comparison between two methods, which are Fuzzy Time Series and Holt-Winter in forecasting the number of tourist arrival in Langkawi based on the monthly tourist arrival data from January 2015 to December 2019. Both models were generated using Microsoft Excel in obtaining the forecast value. The Mean Square Error (MSE) has been calculated in this study to get the best model by looking at the lowest value. The result found that Holt-Winter has the lowest value that is 713524285 compared to Fuzzy Time Series with value of 2625517469. Thus, Holt-Winter model is the best method and has been used to forecast the tourist arrival for the next 2 years. The forecast value for the years 2020 and 2021 are displayed by month.
Scientific Publications in Muslim Countries: Opportunities and Challenges for Islamic Universities in Indonesia

This research has the objective to determine the profiles of scientific publications in Muslim countries, including: the position of Muslim countries developing scientific publications through scientific journals; an overview of scientific journals that develop in Muslim countries; and an overview of scientific journals that develop in Muslims countries as an indicator of opportunities and challenges of scientific publications for Islamic Universities in Indonesia. The research method used was content analysis with the main data source from The Islamic World Science Citation Center (ISC). The data analysis used descriptive statistics with percentage model, and it was described in qualitative descriptive. The results demonstrate that the most widely owned scientific publications are from Malaysia, followed by Iran and Pakistan, which is above 100. The scientific publications, over 40 in number, come from Turkey, Saudi Arabia, and Egypt. The scientific publications, at around 14-24 in number, come from India, Jordan, Indonesia, and Azerbaijan. In addition to the 10 countries mentioned above, 20 other countries have approximately 1-7 scientific publications on average. The lack of scientific publications in Muslim countries becomes a great opportunity and challenge for Islamic Universities in Indonesia for producing quality scientific publications.
Home Renovation Using Augmented Reality

Home renovation is an imaginative and indecisive task. Choosing from catalogs provided by decor companies can be confusing and time consuming if the user isn’t sure whether the furniture or wall frame will fit properly in the living room , match the curtains or floor. This might lead to frequent unnecessary visits to decor showroom. In order to resolve this problem, it became necessary to come up with a user friendly mobile application which uses markerless augmented reality so that customers have a clear perception and idea about how their house or place of work would look aesthetically after the chosen wall frames, floor tiles and furnitures are applied. The following proposed system uses ARcore, unity and android tools, which will help customers to visualize all the designs provided by decor companies.
PREMIER GRADE LOSSY IMAGE COMPRESSION USING GREEN ERROR INFLUENCED DEMOSAICKING AND INTERPOLATION TECHNIQUES

Recent literature of lossy image compression states the dominant role of the demosaicking and interpolation concepts. This paper develops a new method which is guided by the Green Channel Error of interpolation technique. This method is influenced by three novel methods viz. i) Hexagon pattern and Edge Direction guided Demosaicking (HPEDD), ii) Error signal constrained Neighbour based Image Upsampling (ESNIU) and iii) Green channel based Error signal generation using Histogram, Interpolation and XOR (GEHIX). The HPEDD method is constructed by the new hexagon pattern and Green error constrained rules. The ESNIU upsampling is designed based on the neighbor based interpolation aided by Green Channel Error. The GEHIX method brilliantly handles the Green Error and Basic error coefficients. This approach is abbreviated as HPEDD-ESNIU method. The Criteria formation based on Green Error with empowered HPEDD demosaicking and ESNIU upsampling, induces the compression performance to a significant level in terms of the state-of-the-art metrics like PSNR, Compression ratio, etc. This method is an apt one for web oriented applications which is the real time need of the current digital world.
DAMPAK PEMBELAJARAN SISTEM DARING TERHADAP ACADEMIC FRAUD PADA MASA PANDEMI

The purpose of this research is to see the impact of learning using a bold system on the level of academic cheating that can be done by students. This research is a quantitative study using primary data. The data were obtained by distributing questionnaires to accounting students at the Muhammadiyah University of Surakarta. In the process of analyzing the data, the researcher used the incidental sampling technique. Incidental Sampling, is a technique where the researcher determines the research using the right principles. Where the researcher accidentally meets the respondent, and the respondent is matched by the researcher, the researcher makes the respondent a sample.Based on the results of data processing, it can be concluded that tcount 6.873&gt; 1.655 t table and sig 0.00 &lt;0.05 α. So, it can be ignored that the learning process has an effect on academic fraud. The results of this study are in accordance with the theory of diamond fraud which is related to the dimension of opportunity. In the dimension of diamond fraud, that someone is cheating because of opportunity. Students cheat during the learning process which is daring, because of supervisors from the problematic party.Keywords: Online Learning, Academic Fraud
Pelatihan Penelusuran E-Resources untuk Penyusunan Artikel Ilmiah bagi Guru-Guru di Kabupaten Tuban

Training in researching e-resources for the preparation of scientific articles for teachers in the Tuban district has been carried out. Teachers in the Tuban district have received training in researching e-resources for the preparation of scientific articles. This activity is carried out as an effort to improve teacher professionalism in writing scientific articles. This training aims to provide understanding and skills in researching e-resources for the preparation of scientific articles for teachers in Tuban Regency. This training participant is limited to 15 people, considering that they are still in a COVID-19 condition. The method used is a lecture combined with a discussion during the socialization. The demonstration method is carried out during the e-resources research activities. Meanwhile, to record the activities of training participants through documentation. Based on the assignment to search for articles from Science Direct, Google Advance, Garuda, Library Genesis, Sinta, DOAJ, and Scopus, the results showed that all participants scored above 90 on average. Resources for finding scientific articles of research results are very good.
Recurring patterns of discussing crises in opera singing – technique, therapy and market positions

This paper presents two theories as to the rigidification of the collection of pitch-frequencies that make up "C Major", visually known as the "white keys" on a standard piano, in teaching and understanding music. First, there is a utility to those frequencies for singers, notwithstanding training or vocal range, that makes accessibility to those pitches desirable. Second, the standard length of pipe that undergirds pipe organs is 8 feet, which happens to make the “C" pitch frequency when wind blows through it, and also does so at doubling or halving – i.e., at 32, 16, 4, 2, and 1 feet. This would be, mathematically, a simpler integer to deal with in pipe building than, say, 6 feet. Therefore, "C"-ness is itself bounded up in biological and other physical phenomena.
Multiple object tracking in color scenes using composite-matched filtering with complex constrains

An algorithm for the recognition and tracking of several objects in color image sequences is presented. First, each three-channel color input image are encoded into a single-channel complex-valued image. Next, a set of prespecified targets are recognized and located in the scene by a composite matched filtering with complex constraints. Afterwards, the set of targets are tracked by adapting the matched filtering to each input image and by processing small image fragments extracted at the predicted coordinates of the targets in the scene. Results obtained with the proposed algorithm in a test image sequence are presented and analyzed in terms of efficiency of target recognition and accuracy of target tracking.
IMPROVING STUDENTS’ WRITING NARRATIVE TEXTS THROUGH EXPLORATION - EXPLANATION - EXPRESSION (E3) METHOD

This study which is entitled ‘’Improving Students’ Writing Narrative Text Through Exploration-Explanation-Expression (E3) Method’’. It aims to find out the effectiveness of Exploration-Explanation-Expression (E3) Method as a method in improving students’ ability in writing narrative text. The method used in this study was quantitative method. The design of this study was pre-experimental research design. The result showed that Exploration - Explanation - Expression (E3) Method is effective in improving students’ ability in writing narrative text. The result of calculation showed that in the significance degree of (ɑ) 0.05. The value of tobserved &gt; tcritical (10.0353 &gt; 2.0752). According to the criteria of the test, the result showed that there is significance difference to students' writing ability in writing narrative text through Exploration - Explanation - Expression (E3) method. It means that, Exploration - Explanation - Expression (E3) method is effective to improve students’ ability in writing narrative text.
A two level learning model for authorship authentication

Nowadays, forensic authorship authentication plays a vital role in identifying the number of unknown authors as a result of the world’s rapidly rising internet use. This paper presents two-level learning techniques for authorship authentication. The learning technique is supplied with linguistic knowledge, statistical features, and vocabulary features to enhance its efficiency instead of learning only. The linguistic knowledge is represented through lexical analysis features such as part of speech. In this study, a two-level classifier has been presented to capture the best predictive performance for identifying authorship. The first classifier is based on vocabulary features that detect the frequency with which each author uses certain words. This classifier’s results are fed to the second one which is based on a learning technique. It depends on lexical, statistical and linguistic features. All of the three sets of features describe the author’s writing styles in numerical forms. Through this work, many new features are proposed for identifying the author’s writing style. Although, the proposed new methodology is tested for Arabic writings, it is general and can be applied to any language. According to the used machine learning models, the experiment carried out shows that the trained two-level classifier achieves an accuracy ranging from 94% to 96.16%.
LibGuides: Educational Psychology LibGuide - Public Library: Databases

Learning is a complicated process. Each child is an individual and has individual needs or styles of learning. The focus of this LibGuide is to provide parents and educators with the information they need to help a child learn.
Study on Improving the Direction-Finding Accuracy of Rotary Baseline Phase Interferometer

The direction finding method of rotating baseline phase interferometer uses the maximum and minimum values of phase difference between array elements to estimate the Angle of incoming wave. However, when there is noise interference in the environment, the direction finding error will be large. To solve this problem, this paper uses the three-parameter least square method to estimate the amplitude, the initial phase and the offset of the phase difference curve after the fuzzy solution, and then carries on the fitting processing to the phase difference curve. The method can effectively improve the direction finding accuracy of the rotating baseline phase interferometer, and the simulation results show that the method is effective.
COVID-19 and Data Privacy: A Discussion of the Disease Control and Prevention Measures in the United Kingdom and South Korea

Life without the coronavirus pandemic seems like a distant past in 2021. Even with gradual vaccine administration, there is no doubt that the shadow of COVID-19 will continue to affect many for years to come. Notwithstanding the acute stress the pandemic has placed on public health worldwide, this article will discuss a more concealed issue: the processing of personal data on an unprecedented scale for disease control and prevention. Indeed, whilst digital measures utilising various data inputs may prove effective in containing the virus and relieving some burden from strained public resources, they pose a severe threat to privacy and data protection rights. It follows that an assessment on the validity of any digital COVID policy which uses personal data, must ask – to what extent individual rights ought to be restricted for the public health interest. The purpose of this article is threefold. First, to provide an understanding of the socio-legal climate surrounding data protection. Second, to show how this climate has shaped the data-driven coronavirus policies accordingly. Third, to assess whether a sustainable compromise has been made. Ultimately, the article will propound the non-controversial opinion that neither the UK nor South Korea’s systems are ideal. It follows that some recommendations will be formulated indicating factors for consideration when developing a system which maximises the privacy rights of the individual whilst addressing a future public health crisis.
Social aspects of innovation management in digital sector

Innovation management in the digital sector requires taking into account the institutional, socio-structural and socio-cultural context. The article discusses the thesis about unevenness of digitalization in different spheres of society and for different social groups. The actual implementation and use of innovations in everyday life depends not only on development of infrastructure and digital literacy, but also on emerging social norms, including associated with peculiarities of culture of society, belonging to the “artificial” or “natural” type. Artificial intelligence and digital innovations affect the field of health, human corporeality, bioethics, biosociality, etc. There are new sociological approaches which make it possible to study the management of innovations, for example, atypical sociology, augmented reality, concept of posthumanism, etc. An information policy is needed that allows representatives of social groups to perceive innovations more adequately.
PENGARUH PENGEMBANGAN APLIKASI PEMETAAN VISUAL DAN PENCATATAN PELANGGAN TERHADAP PRODUKTIVITAS PENAGIHAN PADA PT.TELEKOMUNIKASI INDONESIA

The writing of this paper aims to present visual mapping applications as an alternative to reduce billing productivity in PT. Indonesian Telecommunications. As for the background of this writing trying to find solutions to address constraints are not found that occur in the field. This is due to the increasing number of customers who use the internet in the region, especially Jakarta, in this case many customers who do not understand about the procedures of payment, due bills and internet disconnection, then there is a lot of arrears so that it becomes the duty of CTB (Caring Teritory Base) as the billing party, then it becomes a problem if the customer's address is incomplete, there is no information rt and rw , the name of the tower, as well as the floor of the building. It will be a concern for the company to reduce Revenue Loss due to unpaid bills, as well as not achieving the targets set by management to employees. The analysis method used by the author is Object Oriented Analysis. (OOA). OOA sees problems based on system user objects. With OOA can be created modeling system. The application of OOA in this study uses Unified Modelling Language (UML) diagram. The Unified Modelling Language (UML) diagrams that the authors use are the Use Case Diagram design of the Activity Diagram design, the Sequence Diagram design, and the Class Diagram design. Application development method or Software Development Life Cycle (SDLC) that the author applied is waterfall method. Waterfall method has a special feature that is the entire development process is carried out in sequence starting from the stage of concept planning, modeling, development, testing and maintenance of the system. This analysis found that the existence of Find&amp;Go application can help in overcoming arrears problems that occur in the company.
Lowering Nitrogen Oxide Emissions in a Coal-Powered 1000-MW Boiler

Burning of coal in power plants produces excessive nitrogen oxide (NOx) emissions, which endanger people’s health. Proven and effective methods are highly needed to reduce NOx emissions. This paper constructs an echo state network (ESN) model of the interaction between NOx emissions and the operational parameters in terms of real historical data. The grey wolf optimization (GWO) algorithm is employed to improve the ESN model accuracy. The operational parameters are subsequently optimized via the GWO algorithm to finally cut down the NOx emissions. The experimental results show that the ESN model of the NOx emissions is more accurate than both of the LSTM and ELM models. The simulation results show NOx emission reduction in three selected cases by 16.5%, 15.6%, and 10.2%, respectively.
Underdevelopment and Poverty in Contemporary Africa: from Nigeria

The Pre-Colonial African concepts of development emphasized the material wellbeing of the community in a local subsistence economy. The modern Post-Colonial African states integrated in a complex global political economy requires technological production in the competitive international economic environment. An environment dictated and driven by Neo-Liberal ideology of the western industrial countries who are well equipped to compete with other countries with infant industries, as in Africa. This competition called free trade implied lack of protection for local infant industries in Africa. Under the Euro- American politically led government deregulation and privatization; there have been various consequences of underdevelopment and poverty in contemporary Africa. This paper examines the impact of neo-liberal policies in contemporary African political economy in the search for alternative paradigms for African development. The research methodology is the qualitative, descriptive approach and the submission of the paper is that African state must device ways of achieving an African version of economic integration through the linkage of basic infrastructure such as the continental rail road starting from the sub-regions.