Reviewerly/exHarmony huggingface dataset:
STUDENTS ATTITUDE IN LEARNING ENGLISH CONVERSATIONS

English conversation is an important lesson for Senior High School students in order to face the globalization effects. Many students considered English conversation as a controversial lesson through their positive and negative attitudes toward it. This study aimed to investigate the types of attitudes of the Senior High School students in learning English conversation, to describe the realization of the attitudes of Senior High School students in learning English conversations, and to explain the reason of the attitude which Senior High School students realized in the ways they are. The subjects of this study were 20 students consisting 12 females and 8 males at the age of 16-18 years old. The data were collected by observations and interviews then were analyzed using Interactive Models. The result showed that positive and negative attitude in learning English conversations, five types of realizations, and the reasons of the students realized their attitudes i.e. the language loyalty, language pride, and awareness of language norms. It was concluded that the students’ attitude varied as to positive and negative ones and realized in numerous manners affected by several factors. Keywords: Discourse Markers, Students Interactions, Nonformal Education, Conversation
Analysing Forensic Speaker Verification by Utilizing Artificial Neural Network

In this paper, we describe the use of Artificial Neural Network (ANN) to compute the acoustic features in analysing forensic speaker verification.In the computation, there are two datasets derived from speech recording of a simulated human trafficking crime, namely Forensic Evidence Data (FED) and Comparative Evidence Data (CED).In both datasets, sound segmentation is performed and then the acoustic features (Formant Frequencies F1, F2, F3, and F4) are extracted.The acoustic feature values are computed with ANN to predict an output with a targeted sound classification /a/, /i/ and /u/.The results are interpreted as forensic evidence against sound data in recorded evidence.With a result rate of more than 80%, this method might be studied more deeply to be developed and applied in evaluating recorded sound evidence for the legal case process.
Technological Upgradationon Educational Reforms in India

The moment journey of life starts education starts from that day. The moment baby born tries to adapt to outside world from that moment itself learning starts, along with activities liking crying, expressing, smiling, recognizing mothers touch etc. and the process goes on through lifetime. John Dewey said: “Education is not preparation for life, education is life itself.” Over the years India has emerged as one of the largest education systems. However, witnessing the changes and developments in and around the world are forcing and demanding the further changes in the existing educational practices and delivery system if education. In the 21st century the government of India has recognized the true importance of imparting education to the children of country and brought some legislative changes.
Evaluating the Performance of Using Balanced Scorecard Case Study: Al-Aqsa University

This study aimed to identify the concept and dimensions of the balanced scorecard, identifying the degree to apply Al-Aqsa University the dimensions of the balanced scorecard, and identifying the fifth dimension related to the environmental dimension and the extent of its application at Al-Aqsa University. Al-Aqsa University seeks to use the best modern methods and keep pace with the development taking place. The descriptive analytical approach was used, and this study relied on collecting secondary data from several sources beside the primary sources represented by the questionnaire. The study concluded that Al-Aqsa University maintains a high market of registered students among the universities of the Gaza Strip throughout the academic years, and also Al-Aqsa University fulfills the elements of customer dimension in its performance and is keen to treat students fairly and without discrimination, but it does not give much attention to complaints submitted by students, The university also fulfills the requirements of the internal operations dimension, as the university is characterized by the diversity of the faculties and specializations in it to suit the requirements of students and the labor market, but it is blamed for its inability to provide job opportunities for graduates, but this is due to the economic conditions that the Gaza sector suffers from. As for the dimension of learning and growth, it was found that the academic staff at Al-Aqsa University is distinguished in terms of academic degrees, and this is reflected positively on the educational services provided. In addition to the interest in publishing scientific research and conferences, the university also has a deanship of scientific research and a magazine for publishing scientific research, all of which confirms the university's interest in learning, and finally it turns out that the university is keenly interested in the environment and providing an appropriate environment for its students. In light of the results, the study recommended a set of recommendations, the most important of which is the necessity of applying the Balanced Scorecard as a planning, evaluation and measurement card.
URGENSI PERSONAL BRANDING BAGI PUSTAKAWAN DI ERA PANDEMI

As a result of the Covid-19 outbreak, libraries must change their habits and order in providing library services. Library services, which were initially carried out in person or on the spot, were turned into online services to facilitate and provide convenience for users and librarians. Librarians are expected to be more creative in creating new innovations in providing online services to users. Librarians must still be able to provide excellent service to users even with various existing limitations, both librarians, infrastructure, and library collections. In the midst of the limitations of excellent service, the librarian is the key to this excellent service. Librarians must have a brand. How the librarian shows brand personality, brand-ability, brand value, and has a stimulus that produces positive perceptions. The brand of personality to build is one that is friendly, cooperative, forgiving, understanding, and good on good terms with other people. Librarians must also hone their brand personality in terms of being systematic, careful, thorough, responsible, and disciplined. Librarians should also have less negative emotionality, so that they are relatively balanced, calm, steadfast, and feel safe. Librarians must be sociable, articulate, assertive, and open to new relationships. besides that the librarian must have a high, to listen to new ideas and change ideas. The brand of librarian abilities that must be built is solving problems systematically, being able to find and finding creative and original ideas, managing people, coordinating with other people or teamwork, regulating and controlling emotions, being able to draw decisions, under any conditions, have a service or service orientation, negotiate, have cognitive flexibility or are able to think spontaneously in response to adjusting to situational needs. The librarian's brand value that must be built is the value of integrity and leadership. In terms of integrity, librarians must value honesty in speaking and acting; be able to balance/be consistent between thoughts, words, and actions; fair in treating others; have a high dedication to the institution; can always be trusted in carrying out the mandate and carrying out daily tasks. In addition to leadership, librarians must build teamwork in order to generate new ideas, ideas, suggestions so that work goals can be implemented.
Using Cybersecurity Body of Knowledge (CyBOK) Case Studies to Enhance Student Learning

One of the central aspects of specialization in modern software engineering is security engineering.With contemporary systems being networked and entrusted with mission-critical functionality, cybersecurity is an essential quality that must be developed into the system from the first moment.This comprises issues such as privacy, authentication, robustness against vulnerabilities, and hardness against external attacks.To do so, software engineering specialists with appreciation for the detailed intricacies of security engineering as well as broad experience are required.The Cybersecurity Body of Knowledge (CyBOK,[1]) has been developed to serve, among other uses, as an instructional reference for educators to prepare the next generation of security engineers in this respect.While the CyBOK describes the intricacies of security engineering in plentiful detail, it remains up to the instructor to convey this curriculum in a way that fosters understanding and forms experience as well as competencies in the learner.To aid the instructors who use the CyBOK, we have devised a library of 18 case studies that are specifically designed to target CyBOK knowledge areas.The case studies are sufficiently detailed to allow adoption with minimal overhead on the instructor.In this paper, we describe the case study mapping to the CyBOK, and classroom results of one exemplary case study, demonstrating improved understanding by students.
The Use of Neural Networks to Predict the Number of Gifted Students

In this study, Neural Network shave been used to classify the views into their groups in the presence of some variables that do not follow natural distribution. This is to identify the most important variables that influence admission at the gifted&nbsp; schools. The criterion of the wrongly rating ratio of viewing has been used as a criterion of the results’ accuracy. The study problem has been the method of distinguishing &amp; classifying gifted students into accepted &amp; not accepted by the National Board of Schools of Gifted Students whose numbers are increasing in their application to be admitted into those kind of schools, which is creating pressure on the National Board of Schools of Gifted Students. Added to this is the multiplicity of statistical methods to process qualitative data &amp; the conditions of using each one of them. the study’s goal is to identify the most important variables influencing the admission to gifted schools in addition to identifying whether the Neural Networks’ method is suitable for processing such data. The study has used the descriptive &amp; analytical inductive methods by analyzing the study data before formulating the results. The study used the program of Statistical Package of Social Science(SPSS version 20) to process the data. One of the most important results of the study was that the said method was moral &amp; provided the importance &amp; effect of the independent variables involved in the analysis. The performance of the Neural Networks was excellent with a good classification of 93%. The most important thing influencing admission was Wexler’s Test. Making use of Neural Networks in classifying data was one of the most important recommendations of the Study. The study suggests the introduction of Genetic Algorithm to the Neural Networks.
The Simulation of Traffic Signal Preemption using GPS and Dijkstra Algorithm for Emergency Fire Handling at Makassar City Fire Service

The Makassar City Fire Department often faces obstacles in handling fires. Problems that often hinder such as congestion at crossroads, panic residents, and others. The result of this research is a system that can assist firefighters when handling fire cases in terms of accelerating the firefighting team to the location of the fire. Dijkstra's algorithm will be used to find the shortest path to the fire location and the travel time. Then the traffic signal preemption simulation adjusts the color of the lights when the GPS vehicle approaches the traffic lights on the path to be traversed. The simulation results show that the use of traffic signal preemption in collaboration with Dijkstra's algorithm and GPS can help the performance of the Makassar City Fire Department, especially for handling fires that require fast time.
Error Analysis of English Abstract in International Journal of Economics, Business and Accounting Research (IJEBAR)

This study aims to determine the types of errors and the most dominant type of errors in the International Journal of Economics, Business, and Accounting Research (IJEBAR) STIE AAS Surakarta, published in 2018. This study employed a qualitative method. The author used documents to collect data and analyzed the data by identifying errors, classifying errors, explanation errors, and tabulating errors. The research findings showed that the type of errors in IJEBAR was related to some aspects of writing, such as grammar, punctuation, and spelling. In the grammar aspect, there were 36 data or 50.70 %, which consist of some errors in class words (part of speech), for example in determiner/article (22 data or 61.11 %), verb (11 data or 30.56 %), preposition (2 data or 5.56 %), and noun (1 data or 2.78 %). There were 21 data or 29.58 % in the punctuation aspect, and in the spelling aspect, there are 14 data or 19.72 %. The most dominant type of errors found in IJEBAR is the aspect of grammar, as 36 data or 50.70%. Errors can be caused by a lack of language skills such as the learner's lack of knowledge of the target language's correct rules or an error in translating using specific translation tools. Therefore, in writing English abstract well and correctly, it should follow the language (English) rule, which refers to the correct grammatical, punctuation, and spelling aspect.
Computer Aided Screening Of Cervical Cancer From Pap Smear Microscopic Images

Cervical Cancer is globally ranked as the second among the type of cancers found in females. If diagnosed at early stage cervical cancer can be preventable type of cancer. Precancerous cervical cell changes generally do not cause symptoms, and hence it has prompted for an extensive research. An auto
Dialectical unity of two super-tasks in the context of the problem of reincarnation

The purpose of the article is to try to determine the nature of the interrelationships between two supertasks - an actor and a role - in the process of an actor's creativity, based on an analysis of the essence of the problem of reincarnation in the art of an actor from the Stanislavsky school. The research methodology is based on analytical, general logical and comparatively typological methods, which make it possible to comprehend in an unconventional way the concept of the dialectical unity of two super-tasks in the process of an actor's creativity in the context of the problems of reincarnation. The subject of this research is the basic concepts of the world-famous "system" of KS Stanislavsky. The scientific novelty lies in the fact that the theory of acting has never resorted to analyzing the dialectics of the relationship between two supertasks - the actor and the role - in the context of the problem of reincarnation. Its interpretation by the Stanislavsky school confirms the idea of ​​dialectical interaction of two super-tasks in a single creative process. Conclusions. In an artistically completed acting performance, we always deal with the presence of both the supertask of the actor himself, performing a certain role, and the supertask of the role (the actor). Despite their multidirectional nature, they nevertheless constitute a dialectically inseparable whole, transforming the process of reincarnation into a highly artistic act of creativity.
Estimation of Test Item Parameters with Polytomous Item Response Using Partial Credit Model (PCM)

Assessment activities would provide useful information if instruments developed and used have good quality.One of the standards for a quality test instrument is having acceptable item parameters.This research aims to analyze the quality of the test instrument in terms of the item parameters' quality with difficulty level on polytomous scoring.This research is explorative research by using a quantitative approach.The data used in this research is the test participant responses data to the items of numeracy.The participants have involved as many as 273 students of class VIII SMP in DI.Yogyakarta Province.The polytomous item response theory model used in this research is the Partial Credit Model (PCM).The estimation of item parameters is carried out using the R Program.The results showed that of the ten test items analyzed, only six items had the right criteria based on the item location parameters (level of difficulty of the stage) and Item Characteristic Curve (ICC).The information function value obtained is in the range -3.00 to 3.00, representing the instrument developed is suitable for test participant with abilities from -3.00 to 3.00 or from low abilities to high abilities.
Appropriation of Information in Data Visualization

The study seeks to understand which elements related to the process of appropriation of information are facilitated and supported by data visualization. Based on the understanding that appropriation of information encompasses the transmission of information and its learning by the user, the visual representation of the data, through graphic resources, assists in this process by synthesizing the information content in a clear manner, thus reducing abstractions. The study is based on a bibliographic survey of an explanatory character, trying to bring reflections on the importance of visualizing data in the process of appropriation of information.
CORRIGENDUM

IET Quantum CommunicationVolume 2, Issue 1 p. 28-28 CORRIGENDUMOpen Access CORRIGENDUM This article corrects the following: Present landscape of quantum computing Vikas Hassija, Vinay Chamola, Vikas Saxena, Vaibhav Chanana, Prakhar Parashari, Shahid Mumtaz, Mohsen Guizani, Volume 1Issue 2IET Quantum Communication pages: 42-48 First Published online: December 2, 2020 First published: 11 March 2021 https://doi.org/10.1049/qtc2.12003AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat The authors wish to bring to the readers' attention the following error in the article by Vikas Hassija, Vinay Chamola, Vikas Saxena, Vaibhav Chanana, Prakhar Parashari, Shahid Mumtaz, Mohsen Guizani, ‘Present landscape of quantum computing’. In Figure 1, unfortunately, an error was noticed and the corrected figure is given below: FIGURE 1Open in figure viewerPowerPoint Quantum computer developed by IBM (photograph by IBM) The authors apologize for this error and any confusion that it may have caused. REFERENCE 1Hassija, V., et al.: Present landscape of quantum computing. IET Quantum Commun. 1(2), 42– 48 (2020). https://doi.org/10.1049/iet-qtc.2020.0027Wiley Online LibraryGoogle Scholar Volume2, Issue1March 2021Pages 28-28 FiguresReferencesRelatedInformation
Desenvolvimento de estratégias de realidade aumentada e virtual para o tratamento de Aracnofobia / Development of augmented and virtual reality strategies for the treatment of Aracnophobia

This article aims to present a Virtual Reality (VR) application for Android smartphones as a method of helping in the treatment of a specific phobia, arachnophobia. The application has an immersive virtual environment that, through the use of VR glasses, allows the phobic patient the gradual contact with virtual spiders in an interactive and non-invasive way.
Prediksi Kelulusan Seleksi Mahasiswa Baru Jalur SBMPN Pada Politeknik Maritim Negeri Indonesia Menggunakan Jaringan Syaraf Tiruan Backpropagation

One of the selection routes for new student admissions at the Indonesian State Maritime Polytechnic (Polimarin) is the Joint Selection to Enter the State Polytechnic (SBMPN). Furthermore, the SBMPN selection results as the results of stage one tests and other specific tests which include interview, psychological, health, and fitness tests as stage two tests can predict the level of accuracy of passing from the required criteria. These criteria are used as variables to predict the graduation of prospective students on the SBMPN pathway conducted by Polimarin. The method used uses Backpropagation Artificial Neural Network with input variables, namely the average value of report cards from semester 1 to 5, interview scores, psychological test scores, health scores, and equality values. This system was developed with Mathlab software. Based on the results of testing the training data, the level of accuracy reaches 100% which can be classified as the best classification, with an accuracy value of 92.85 percent. This system is intended to help management predict the selection of the SBMPN route in the following year.
Detection of Outlier s in High Dimensional Data with Lasso Regression

Detecting Outliers has become a significant research area in data mining in last few years. The focus of this research has been to identify patterns or objects in huge data sets of a database that are exceptional from normal pattern, specifically dissimilar, and unpredictable with reference to the most of the datasets. As billions of personal computers, and internet users rose phenomenally, huge data sets of real life applications have been created for new challenges as well as explorations in research for Outlier detection. Many traditional techniques to detect outliers have unable to yield good results in such environments. So, developing a method to detect Outliers has become a critical task. A method to identify anomalies in high dimensional data based on Lasso Regression has been study in this research. This framework has been implemented in the open source JMP software. The parameters such as RSquare 0.001162, RMSE 0.031806 and Mean Response 0.007889 are calculated using Spambase dataset. The results from the experiments have shown that the proposed method detects Outliers in high dimensional data with potentially higher accuracy.
DEVELOPMENT AND PROCESS OPTIMIZATION OF SOLID DOSAGE FORM (SKELETAL MUSCLE RELAXANT) FROM LAB SCALE TO PILOT SCALE

Objective: To develop and to perform process optimization of solid dosage form (Skeletal muscle relaxant) from lab scale to pilot scale.To done the following tests on newly formulated Cyclobenzaprine Hydrochloride tabletand done Disintegrationand Dissolution test.Method: Dry granulation is typically used in the manufacture of tablets if the formulation ingredients are too fluffy or too susceptible to flowability problems for direct compression to be a viable processing option and/or too susceptible to degradation from heat and/or moisture for wet granulation to be a viable processing option for densification.The process is sometimes chosen as an alternative to wet granulation when direct compression is not feasible not because wet granulation is not feasible but because the manufacturer is more experienced with dry granulation or to reduce processing time and/or equipment requirements to reduce costs.The direct compression method is used.Result: The formulation 5 (F5)-It passes the disintegration test and also it give best dissolution values because it gradually release the drug Cyclobenzaprine Hydrochloride on the formulation-5 (coated 2%) and in core tablet state itself also. Conclusion:The prepared Cyclobenzaprine Hydrochloride tablet formulation 5 (F5) passes the limits of disintegration and dissolution tests.
Cultural and educational traditions of the Institute of Pedagogy as a basis of pedagogy training

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