Reviewerly/exHarmony huggingface dataset:
The Comparison of Cursory Reading Technique and Reflection Learning Method Based on the Second Grade Students Personal Inventory of Senior High School in Reading Comprehension

This research presented an experimental study between two processes, cursory reading technique and reflection learning method in teaching reading comprehension. The objectives of this research were to prove which way or procedure (cursory reading or reflection learning) was effective to enhance the reading comprehension of students of SMA Muhammadiyah Kalosi Enrekang regency, and to know which way or procedure (cursory reading technique or reflection learning method) was suitable for introvert or extrovert (personal inventory) students in SMA Muhammadiyah Kalosi Enrekang regency. This research employed design which involved two experimental classes. The first experimental class was XI IPA3 which was taught by using cursory reading technique and the second experimental class was XI IPA1 which was taught by using reflection learning method. The population in this research was the second grade students of SMA Muhammadiyah Kalosi Enrekang regency with total students was 72 students. The instruments of this research were reading test, and questionnaire of personal style inventory. The mean score of the students in cursory reading technique class was 85.78 and the mean score of the students in reflection learning method class was 80.17. These means score showed that the students more interest to used cursory reading technique than reflection learning method in learning reading comprehension. In the other, the means score showed that cursory reading technique more suitable to used in extrovert students while reflection learning method more suitable use in introvert students.
Cybersecurity in the Age of FinTech and Digital Business

In 2016, the Cyber Security Experts Association of Nigeria (CSEAN) estimated that Nigeria loses N127,000,000,000 (One Hundred and Twenty Seven Billion Naira) annually to cyber-attacks. With the emergence of FinTech and Digital Businesses in Africa, the figure is bound to triple. Several FinTech and E-commerce startups overlook the importance of the position of a Chief Information Security Officer (CISO) in the early development stages. The concept of “waiting till there is a breach” can cripple businesses when a data breach finally occurs. Big companies strive to ensure that the private information of all its users are protected and these firms strive to be transparent on the information they access and how it is been used. The purpose of this Article is to throw into limelight the hurdles FinTech and Digital Business go through such as Regulations, Data protection, Cyber-security and cyber-attacks, and Intellectual Property thefts; and the best solutions to these hurdles.
Reduction of Impulsive Noise from Speech and Audio Signals by using Sd Rom Algorithm

Removal of noise is the heart for speech and audio signal processing. Impulse noise is one of the most important noise which corrupts different parts in speech and audio signals. To remove this type of noise from speech and audio signals the technique proposed in this work is signal dependent rank order mean (SD-ROM) method in recursive version. This technique is used to replace the impulse noise samples based on the neighbouring samples. It detects the impulse noise samples based on the rank ordered differences with threshold values. This technique doesn’t change the features and tonal quality of signal. Rank ordered differences is used for detecting the impulse noise samples in speech and audio signals. Once the sample is detected as corrupted sample, that sample is replaced with rank ordered mean value and this rank ordered mean value depends on the sliding window size and neighbouring samples. This technique shows good results in terms of signal to noise ratio (SNR) and peak signal to noise ratio (PSNR) when compared with other techniques. It mainly used for removal of impulse noises from speech and audio signals.
Eines computacionals per a la creació i explotació de corpus orals en català

Summary: The goal of this article is to review the inventory of computational tools currently available for the development of oral corpora in Catalan, from their design to their exploitation once they have been developed. Several tools for the design, transcription, annotation and exploitation are described and analysed, and an example of oral corpus in Catalan developed and exploited using this kind of tools is also presented. The final conclusion is that the existing tools may help to make easier the creation and exploitation tasks of oral corpora in Catalan, although more efforts are still necessary to improve the existing tools and to create new ones. Keywords: corpora, speech, orality, computational tools, Catalan
Efektivitas Model Pembelajaran Tematik Berbasis Kurikulum 2013dalam Meningkatkan Prestasi Belajar Membaca Siswa di SD Negeri 1 Sribatara Kabupaten Buton

This study aims (1) to explain the application of the thematic learning model in improving the reading achievement of students at SD Negeri I Sribatara Buton Regency (2) to explain the effectiveness of the thematic learning model in improving the reading achievement ability of students at SD Negeri I Sribatara, Buton Regency. The type of research used is a type of classroom action research which in practice is known as PTK (classroom action research). The classroom research was applied in two cycles. Between the experimental and control classes there is no comparison class. Experiment class as well as control class. The data collected after the treatment was classified with experimental class data. The results showed that there was an increase in student learning outcomes during the learning process. Learning outcomes in the control class show differences. However, these differences did not indicate a significant increase in learning outcomes, cycle I reached a value of 71.00 and cycle II reached a value of 72.50. The results of the two cycles are only in the sufficient category. Learning outcomes in the experimental class showed a significant difference. The first cycle reached a value of 82.50 while in the second cycle it reached a value of 88.00 and was in the good category. The increase in learning outcomes shows that the thematic learning model is effectively used to improve reading achievement of students at SD Negeri I Sribatara.&#x0D; Keywords: improving achievement, learning to read students, thematic learning model
An Approach to Detect Cyberbullying on Social Media

Detecting Cyberbullying is still an important issue. Existing approaches often rely on advanced techniques including machine learning and Natural Language Processing algorithms. In this paper, we propose an ontology and classifiers-based approach to detect cyberbullying cases in the context of social media. We propose a cyberbullying ontology in terms of cyberbullying categories and representative terms vocabulary. This ontology is used to build and annotate the toxicity of our training dataset extracted from different data sources. Various unit classifiers are used including messages toxicity detection, gender classifier, age estimation, and personality estimation. Outputs of these classifiers can be combined to intercept contents that could be cyberbullying cases.
The review on elliptic curves as cryptographic pairing groups

Elliptic curve is a set of two variable points on polynomials of degree 3 over a field actedby an addition operation that forms a group structure. The motivation of this study is that themathematics behind that elliptic curve to the applicability within a cryptosystem. Nowadays, pair-ings bilinear maps on elliptic curve are popular to construct cryptographic protocol pairings help totransform a discrete logarithm problem on an elliptic curve to the discrete logarithm problem in niteelds. The purpose of this paper is to introduce elliptic curve, bilinear pairings on elliptic curves asbased on pairing cryptography. Also this investigation serves as a basis in guiding anyone interestedto understand one of the applications of group theory in cryptosystem.
Operator Certification Using Face Recognition Technique

A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work. But in general, they work by comparing selected facial features from given image with faces within a database. Real time video face recognition will happen using Raspberry pi 3 and web camera. This technique is used for operator verification using operator’s face.
Multidimensional Scaling: Approximation and Complexity

Metric Multidimensional scaling (MDS) is a classical method for generating meaningful (non-linear) low-dimensional embeddings of high-dimensional data. MDS has a long history in the statistics, machine learning, and graph drawing communities. In particular, the Kamada-Kawai force-directed graph drawing method is equivalent to MDS and is one of the most popular ways in practice to embed graphs into low dimensions. Despite its ubiquity, our theoretical understanding of MDS remains limited as its objective function is highly non-convex. In this paper, we prove that minimizing the Kamada-Kawai objective is NP-hard and give a provable approximation algorithm for optimizing it, which in particular is a PTAS on low-diameter graphs. We supplement this result with experiments suggesting possible connections between our greedy approximation algorithm and gradient-based methods.
Feature Extraction Techniques for Airborne Hyperspectral Images &amp;#8211; Implication for Mineral Exploration

&amp;lt;p&amp;gt;Geochemical mineral prospecting approaches are mostly point-based surveys which then rely on statistical spatial extrapolation methods to cover larger areas of interest. This leads to a trade-off between increasing sampling density and associated attributes (e.g., elemental distribution). Airborne hyperspectral data is typically high-resolution data, whilst being spatially continuous, and spectrally contiguous, providing a versatile baseline to complement ground-based prospecting approaches and monitoring. In this study, we benchmark various shallow and deep feature extraction algorithms, on airborne hyperspectral data at three different spatial resolutions, 0.8 m, 2 m and 3 m. Spatial resolution is a key factor to detailed scale-dependent mineral prospecting and geological mapping. Airborne hyperspectral data has potential to advance our understanding for delineating new mineral deposits. This approach can be further extended to large areas using forthcoming spaceborne hyperspectral platforms, where procuring finer spatial resolution data is highly challenging. The study area is located along the Rise and Shine Shear Zone (RSSZ) within the Otago schist, in the South Island (New Zealand). The RSSZ contains gold and associated hydrothermal sulphides and carbonate minerals that are disseminated through sheared upper green schist facies rocks on the 10-metre scale, as well as localized (metre-scale) quartz-rich zones. Soil and rock samples from 63 locations were collected, scattered around known mineralised and unmineralized zones, providing ground truth data for benchmarking. The separability between the mineralized and the non-mineralised samples through laboratory based spectral datasets was analysed by applying Partial least squares discriminant analysis (PLS-DA) on the XRF spectra and laboratory based hyperspectral data separately. The preliminary results indicate that even in partially vegetated zones mineralised regions can be mapped out relatively accurately from airborne hyperspectral images using orthogonal total variation component analysis (OTVCA). This focuses on feature extraction by optimising a cost function that best fits the hyperspectral data in a lower dimensional feature space while monitoring the spatial smoothness of the features by applying total variation regularization.&amp;lt;/p&amp;gt;
NETWORK TOPOLOGY DESIGN ON THE TANGERANG IMMIGRATION POLYTHECNIC CAMPUS USING CISCO PACKET TRACER SIMULATOR

&#x0D; &#x0D; Government programs in developing technology are very important in realizing the availability of accurate, accountable data, increasing efficiency, security, and creating accountability for information technology services in implementing technology, especially the Ministry of Law and Human Rights so that strategic plans in implementing technology-based government systems The information aims to make the initial stages in the form of a simulation-based network topology design that will be made using the Cisco packet tracer simulator with the network concept on the Tangerang Immigration Polytechnic campus as an effort to facilitate the teaching and learning process and can produce immigration human resources who are fluent in implementing a government-based system. information Technology. The network topology design made using the Cisco packet tracer simulation application shows the results of a virtual, connected design that can then be implemented in the construction of a real network construction.&#x0D; &#x0D; &#x0D;
Forfeiting legal protections to prevent crime

In many ways, policing is a noteworthy feature of the field of criminal law. Its diverse mandate includes ensuring public order, and preventing and investigating crime. Though these roles have been traditionally managed as distinct functions, as prevention subsumes the others they are becoming more closely aligned in practice. This contribution will assess the role that AI has played in strengthening the mandate for crime prevention. It will argue that AI has been a critical tool in advancing crime prevention, but its use has outpaced legal processes and individuals may face violations of their legal interests in a legal framework ill-equipped for countering robust crime prevention measures. The article will ultimately advocate the expanding and strengthening of the legal protections afforded to criminal suspects in preventative investigations, while also addressing the way in which AI alters the enforcement of legal standards.
Conceptual Transformation in the Area of “Social Media”: A Scientometrics Meta-Analysis

“Social Media” has emerged as new phenomenon in the scope of research and academia since 2005. Using Meta-Analysis (Scientometrics Approach) as a research method, the purpose of this study was to review over the past trends of Research & Development (R&D) in the area of “social Media”. The population of this study was all scientific documents indexed in Web of Science (WoS) databases from 1970 until June 2019 with the keyword of “Social Media” as a subject (all together 40,471 documents with “Social Media” as a subject and 15,038 documents with Social Media” in the Titles). To find out the conceptual transformation, all collected documents have been divided into three categories based on their frequency: 1-from 2005 to 2011, 2- from 2012 to 2015 and 3- from 2016-2019. The “theme analysis” of the documents in this study shows that a significant conceptual transformation can be highlight in R&D from 2005 to 2019 in the area of “Social Media”. in addition, even though US, UK, China and other western countries were the first nations who start R&D in the area of “Social Media”, it was noted that especially after 2015, many new and emerging countries like Malaysia, Qatar, Jordan, U.A.E., Pakistan, Kazakhstan and etc. in the developing countries also came to the picture in establishing international R&D networks to also contribute to the body of knowledge in this area.
한국어 수업 참관을 위한 수업 관찰 도구 개발 연구

The purpose of the study aims to review the contents of the class observations discussed in the precedent researches and develop Korean language class observation tools based on the Korean language teachers' awareness survey. Based on the precedent studies, the detailed items of classroom observation were derived from the upper category of “teacher quality and characteristics, class contents, class operation”. The survey was based on what Korean teachers attach importance to in classroom observations and what items they value based on the observations developed in this study. In a subjective survey on class observation items, there were differences between prospective and experienced teachers; prospective teachers considered ‘teacher quality and characteristics’ and ‘class content’ important, while experienced teachers thought ‘teacher quality and characteristics’ and ‘class operation’ were important. However not many significant differences were perceived between these two groups when the observation items were presented classroom observation tools developed by this study. Yet, in detail, ‘teacher’s creating for class atmosphere’ among the details of ‘teacher's qualities and characteristics,’ ‘teacher's ability to respond to unexpected questions or conditions’ among the details of ‘class operation’, ‘review of past classes in the introduction stage,’ ‘clear instruction of exercise activities’ and ‘suitable evaluation or confirmation at the conclusion of the class’ among the details in ‘class content.’ showed significant differences. The results suggest that it will be essential to provide class observation tools and training for prospective and experienced teachers. Seohyung Kim(Kyonggi University), Sun Hee Park(Ewha Womans University), Mira Jang(Kyung Hee Cyber University)
Process of software testing for a model of quality in Cuba

The software industry is developing at an accelerated pace, and the competitiveness in the market requires companies high-quality processes and products. Quality is obtained by performing proper management, applying planning activities, quality assurance and control and improvements. The quality models propose a set of good practices focused on management processes. Cuba has a model applicable to the country, based on the best practices of the reference models and standards, named Quality Model for the Development of Computer Applications (MCDAI). In the case of quality control activities, the Verification and Validation processes ensure compliance with stakeholder requirements; software testing is the main dynamic technique of these processes. This research proposes a set of specific requirements that synthesize good software testing practices in a base process. It was designed to be part of the base processes of the MCDAI. It includes a graphic and textual description of the process, which facilitates compliance with the requirements and the roles involved. An indicator system is defined to provide the project and the management of an organization with an objective view of the processes and products of associated works. This process was submitted to focus groups, and an expert satisfaction survey to verify the usefulness of the proposal and to pilot projects to verify that with its application the effectiveness of the tests increases during software development.
Research on educational informatisation platforms based on Web 2.0

Educational informatisation is an important part of national informatisation strategy. The realisation of educational informatisation plays a fundamental, global and lasting role in social development. The advent of the Web 2.0 era has injected new impetus into the development of network education. Web 2.0 has the characteristic of personalisation, decentralisation, openness, interactivity, and sociality. It corresponds to the educational idea advocated by modern educational theory. Through the method of literature analysis, this paper collates and think about the current educational application research under the Web 2.0, and finally through specific case analysis and comparison to verify the views and draw conclusions and provide reference for the future research of Web 2.0 and educational informatisation platform.
ANALISIS STRUKTUR TEKS EKSPOSISI PADA KOLOM OPINI HARIAN SERAMBI INDONESIA EDISI MEI TAHUN 2020

This study aims to determine the structure of the exposition text in the opinion column of the May 2020 edition of the Serambi Indonesia daily.The data sources of this study are twenty opinion articles of the Serambi Indonesia daily.The approach to this research uses a qualitative approach.This type of research is descriptive.Data collection was carried out by observation techniques or observations that were observed through opinion texts.The results showed that there were three structures of exposition text in the opinion of Serambi Indonesia daily, namely thesis, argumentation, and reaffirmation.The thesis in the opinion is located at the beginning in the form of general problems / current issues that the author wants to discuss.Arguments in opinion are known by the author's opinion which is reinforced by data in the form of arguments, expert opinions, and historical facts.Furthermore, the structure of the reaffirmation is located at the end of the opinion in the form of a conclusion and an emphasis on the author's opinion to the reader.
CREATING TEACHER AND STUDENTS-CENTERED ON TEACHING ENGLISH LANGUAGE BY USING ESP APPROACH AT NON-ENGLISH DEPARTMENT

Creating the teacher-centered and also students-centered in teaching English for students of non-English departments such as accounting, law, Indonesian language department is really challenging, especially when the students’ backgrounds are heterogeneous such as; lack of vocabulary and sometimes lack of motivation that make them demotivated and feel bored to pay attention to the lecturer’s explanation. Here the lecturer needs to create both namely, not only students’ centered but also teacher centered. Therefore, analyze the students’ need to know the target situation and what kind of target language should be taught. In this case, ESP approach is one of several approaches in teaching English to deliver the language description based on the background and the need of the students. This study focuses on ESP that becomes an approach for the lecturer in teaching English for non-English department. Meanwhile, the purpose of this study is to describe the creating teacher-centered and also students-centered in teaching and learning process of English language. That’s why, the approach of ESP in teaching English for non-English department conducting the syllabus, target language, teaching method, and strategies in learning and teaching process are needed. The descriptive qualitative is used in this study to describe the purpose. Therefore, the result and discussion are hoped that ESP approach really helps the lecturer to create the teacher and students-centered and also to reach the objectives of teaching English since this approach is appropriate with the students' situation namely adapting the materials from syllabus within teaching English for non-English department.
Image Forgery Detection and Localization

A human brain responds at a much faster rate to images and the information it contains. An image is considered as proof of past events that have occurred, but in today's world where editing tools are made available so easily tampering of images and hiding the original content has become too mainstream. The identification of these tampered images is very important as images are considered as vital sources of information in crime investigation and in various other fields. The image forgery detection techniques check the credibility of the image. Various research has been carried out in dealing with image forgery and tampering detection techniques, this paper highlights various the type of forgery and how they can be detected using various techniques. The fusion of various algorithms so that a complete reliable type of algorithm can be developed to deal mainly with copy-move and image splicing forgery. The copy-move and image splicing method are main focus of this paper.