Reviewerly/exHarmony huggingface dataset:
Students’ Perceptions toward Lecturer’s Strategies in Teaching Listening during Pandemic of Covid-19

The aim of this research was to find out the students’ perceptions toward the lecturers’ strategies in teaching listening during pandemic of Covid-19. The research was conducted at English Literature Study Program, Faculty of Social Sciences, Muhammadiyah University of Gorontalo. There were 26 participants in this research who enrolled listening subject. This research used qualitative method and the data were collected by using questionnaire that was designed in Google Form which accomodates 2 aspects, materials and learning activities. The result of the research showed that most of students find difficulties in learning listening through online learning because they do not have high-speed internet to access the material. So, it affected the quality of listening audio-audiovisual because the materials were fully online accessed. But, the students also showed positive and well-motivated attitude during online learning in Listening Subject. Most of students revealed that the materials that the lecturer provided during the process of teaching and learning can significantly improve their understanding to the content of listening materials and also improve their listening skill.
Interrogating the Teaching and Learning of Chemistry in Nigerian Private Universities: Matters Arising

The indispensability and vast career possibilities associated with Chemistry notwithstanding, there is a palpable growing decline enrollment in Chemistry in Nigerian universities, particularly the private universities. The paper interrogated the teaching and learning of Chemistry in Nigerian private universities with a view to re-awakening the students&amp;rsquo; interest for effective mastery of the subject. It relied on secondary sources and critical analysis and found out that major inhibiting factors include: Students&amp;rsquo; faulty foundation in Chemistry, syndrome of area of concentration, absence of competitiveness in the admission process, poor attitude of students and lecturers as well as the ambience for effective scholarship. The paper concluded that the current downturn in the students enrolment in Chemistry and the seemingly poor interest in the subject portend sufficient threat to the future of Chemistry, chemical-related industries and the replacement of ageing Chemistry lecturers in Nigeria. It recommended the following strategies to mitigate the vicious cycle: targeted tutorial system, adoption of digital modes of teaching and learning, problem-based learning, capacity building initiatives for Chemistry lecturers, quality assurance mechanism, overhauling science education at the primary and secondary school levels, need-based assessment and provision of quality materials as well as adequate funding.
AI based Marketing Platform

Online Marketing refers to activity of a company which are trying to promote their business by buying or selling of a particular product or service through internet. Email marketing is consistently producing a high investment in the marketing field. Social Media Marketing is one of the main parts of Online Promotion and marketing. This project focuses on promoting, engaging customers, and introducing a platform for an effective marketing system for various companies. This platform segregates subscribers for sending promotional templates via electronic mail to desire customers by tracking consumers activity on social media platforms. The main motive of this project is to bring promotions rather than manually sending promotion templates to a particular customer and posting the same content on multiple media platforms in a single click using this platform. By collecting deep insight into the user's content and that would generate quality data resulting in a better customer base. The platform regularly provides what trends are going on the market to the companies so that they can also look for trending content to stand in the current market [1].
A Novel Framework for Lymphatic Invasion Detection Based on Efficient Medical Images Translation Network

Nowadays, cancer is increasingly affecting human health. Lymphatic Invasion (LI) is a form of lymphatic metastasis, which is essential in clinical diagnosis. To improve the accuracy and efficiency of LI's pathological diagnosis, we intend to utilize artificial intelligence technology such as image to image translation based on the generative and adversarial network to realize LI's intelligent quantitative detection. This paper proposed a novel framework for LI detection which can be used as an auxiliary measure for pathologists.
A COMPARISON OF MACHINE LEARNING ALGORITHMS FOR INDIAN YOUTUBE SPAM FILTER

Expressing your view on social media has become part of our daily life and one of the most used media is the YouTube comment section, where the user can critics any video published by the creator.With the incessant augmentation in the users of YouTube, the quantity of spam comment has also rose meteorically.In this paper, we propose and developed a comment spam filter, it was achieved by using a supervised learning approach which was trained on our self-generated dataset.In addition to this, literature review of different method used by researcher to identify the spam content is also presented.Furthermore, paper illustrates the description and evaluation of accuracy, precision, and recall of different Machine Learning Technique performance such as Linear classifier, Random forest classifier,
A Highly-Parameterized Ensemble to Play Gin Rummy

This paper describes the design and training of a computer Gin Rummy player. The system includes three main components to make decisions about drawing cards, discarding, and ending the game, with numerous parameters controlling behavior. In particular, an ensemble approach is explored in the discard decision. Finally, three sets of parameter tuning and performance experiments are analyzed.
Albania as an object and a context of research in economic sciences: bibliometric analysis

Motivation: In recent years Albania has been an object of amassing research in many subject areas, including those related to economic sciences. Nevertheless, this growing scientific output has not been mapped from the bibliometric perspective. Thus, filling the identified gap in the body of knowledge is motivation for this study.Aim: The aim of the paper is to map the conceptual structure of research output in economic sciences with the focus on Albania as an object or a context of scientific inquiry in order to identify and explore leading and emerging topics. The study is oriented to answering the following research questions: (1) What are the leading topics/streams of scientific inquiry in the field? (2) What are the most up-to-date (emerging) topics/streams in the field?Results: Analysing co-occurrence of high-frequency keywords of Scopus-indexed publications including phrase ‘Albania’ in their titles, keywords and abstracts leads to identification of seven thematic clusters within the research field: (1) Albania as a transition economy, (2) economic aspects of migration, (3) Western Balkans studies, (4) education and innovation, (5) regional case and comparative studies, (6) economic growth and development, and (7) democratic transition and European integration. Moreover, the analysis reveals the following up-to-date topics attracting recently increasing attention of the academia: European integration, cointegration, consumer preferences, monetary policy, Western Balkans, higher education, performance, developing countries.
Improved data storage performance based modified-SPEED algorithm

With the rising demand for smart devices and smart home systems, automation and activity prediction has become a vital aspect of people's everyday lives. Researchers have focused on developing approaches that detect user activity patterns and used them to predict future actions. One such system is Modified Sequence Prediction via Enhanced Episode Discovery (M-SPEED), which uses spatiotemporal daily life activities to analyze user behaviors. However, the low accuracy of this algorithm can be a limiting factor inefficient activity prediction. Also, the computational overhead of run time and memory causes this algorithm to show poor performance in large datasets. This research focuses on modifying the M-SPEED algorithm to improve its capability to run on a larger dataset while at the same time improving run time. The accuracy is also improved to make it more effective in real-world applications. Proof of algorithm efficiency is provided to ensure system validity, and simulation is carried out on real-life data. The results demonstrate a 66.69% improvement in cumulative memory efficiency, 37% faster run time, and 8.22% better accuracy confirming the proposal's effectiveness
"The Meta-Cybernetic Model of the Generic Human Mind"

Benedykt Michal Josef Campbell Bieżanek* Author Affiliations Distinguished Researcher, Shropshire hill country England, UK Received: April 15, 2021 | Published: April 28, 2021 Corresponding author: Benedykt Michal Josef Campbell Bieżanek, Distinguished Researcher, Shropshire hill country England, UK DOI: 10.26717/BJSTR.2021.35.005700
Innovative coin security methods for the prevention of counterfeiting

Securing a coin means adding to a mixture of visible and invisible elements in order to preserve the currency from counterfeiting operations, which include the following elements such as the use of alternative materials and attractive designs with many and varied details with the use of complex materials to thwart the counterfeiters in order to add advantages with new techniques during the production process, in this study will be Shed light on the latest security methods used to protect the coin from counterfeiting worldwide, including but not limited to coin specification, edge, shape, micro-engraved, latent image, pad printing, illuminating ink, nanotech coloring and hologram Electro-Magnetic Signature, Multi-Clad Coins Strip (MCCS) and Micro-glyph Code The research follows the analytical approach in presenting these means with a simple explanation of each technique and found after the study that it needs a high cost to apply it to the Egyptian coin. a Low face value compared to foreign coins. The research problem: the lack of interest in insuring the Egyptian coin against counterfeiting operations using an innovative method, due to the decrease in the actual value of the Egyptian pound, which should not exceed its face value with the high costs of the new insurance means. The aim of the research is: to raise the nominal value of the Egyptian coin to the possibility of using modern technology in the field of insurance while achieving a convergence between it and the actual value of the currency and attention to designing the coin by choosing it as one of the elements of currency insurance, as well as the integration between metal bullions and non-metallic materials in the manufacture of currencies in an innovative way that achieves the insurance purpose
Metric Approach to Anticipate Reusability of Object-Oriented (O-O) Software Systems

In order to meet the fast software evolution, there is a call for the work on software development based process by reducing time as well as efforts. The aim of the development process should not only be developing software products and services but also focus on improving the quality of the particular software. Software Reusability can be considered as one of the solutions to achieve both objectives i.e. productivity as well as quality. There has been an evolution of various methods and techniques related to construction of reusable components over many years. Object-oriented approach also assures increased software reusability. It is easier to reuse object-oriented software rather than conventional software. The notion of reusability related to Object-oriented software can be achieved through inheritance which in turn contributes to development of reusable components. In this paper different metrics related to software reusability of Object-oriented software systems has been summarized and evaluated using Python. Three python-based programs are considered as datasets for this study-the first dataset depicts single-level inheritance, the second dataset depicts hierarchical inheritance whereas the third dataset depicts multilevel inheritance. This study shows more impact of multilevel inheritance on the reusability of Object-oriented software systems and also helped to understand the important role of metrics in evaluation of object-oriented systems.
Continuum – a virtual musical instrument

The aim of this paper is to present a possible development in the area of virtual musical instruments.Our solution consists of creating a version of a Laser Harp, a virtual musical instrument that uses laser beams to replace the strings of a real harp.The best current version of Laser Harp uses a Head-Mounted Display (HMD) with controllers that must be held by the user as they play the instrument.This is a common occurrence when it comes to virtual musical instruments.This research paper presents a way to allow users to play the virtual harp with their bare hands, without the need for controllers.In what follows, we will present the steps that were taken in building such an instrument that we named Continuum and the results that we achieved during the process.
Counterfactual Examples for Data Augmentation: A Case Study

Counterfactual explanations are gaining in popularity as a way of explaining machine learning models. Counterfactual examples are generally created to help interpret the decision of a model. In this case, if a model makes a certain decision for an instance, the counterfactual examples of that instance reverse the decision of the model. The counterfactual examples can be created by craftily changing particular feature values of the instance. Though counterfactual examples are generated to explain the decision of machine learning models, in this work, we explore another potential application area of counterfactual examples, whether counterfactual examples are useful for data augmentation. We demonstrate the efficacy of this approach on the widely used “Adult-Income” dataset. We consider several scenarios where we do not have enough data and use counterfactual examples to augment the dataset. We compare our approach with Generative Adversarial Networks approach for dataset augmentation. The experimental results show that our proposed approach can be an effective way to augment a dataset.
A Combined Method of Naïve-Bayes and Pooling Strategy for Building Test Collection for Arabic/English Information Retrieval

In this paper, we examine the feasibility of building Information retrieval test collections based on two combined methods, the pooling strategy and the Naïve-Bayes machine-learning algorithm.Within the proposed approach, we built a new Arabic/English test collection.This collection consists of 600 parallel Arabic / English documents collected from abstracts of the doctoral dissertations mainly hosted in the ProQuest library and 161 queries in six topics and nineteen sub-topics.The judgment and score of the relevance between each document and each query is determined by the pooling method, where three search engines (Lucene, Whoosh and Hibernate) are used in two languages (Arabic and English).The obtained results are also examined and validated by the Naïve-Bayes algorithm, whereby 0.629 of F-measure metric is calculated from the relevant documents effectively selected.The paper empirically shows that the use of the machine-learning algorithms combined to the pooling strategy serves to build information retrieval collections efficiently and more quickly.
Book Selling System

The main objective of the project is to create an online book store that allows users to search and purchase a book online based on title, author and subject.The selected books are displayed in a tabular format and the user can order their books online through credit card payment.Using this Website, the user can purchase a book online instead of going out to a book store and wasting time.There are many online book stores like Powell's, Amazon which were designed using Html.I want to develop a similar website using. NET, SQL Server. Online Book store is an online web application where the customer can purchase books online. Through a web browser the customers can search for a book by its title or author, later can add to the shopping cart and finally purchase using credit card transaction. The user can login using his account details or new customers can set up an account very quickly. They should give the details of their name, contact number and shipping address. The user can also give feedback to a book by giving ratings on a score of five. The books are divided into many categories based on subject like Software, Database, English, Architecture etc. The Online Book Store Website provides customers with online shopping through a web browser. A customer can, create, sign in to his account, place items into a shopping cart and purchase using his credit card details. The Administrator will have additional functionalities when member information and also confirm a placed order. This application is developed using C#, ASP.NET programming language.The Master page, data sets, data grids, user controls are used to develop the Online Book store. .
Identification of clays and Fe oxide minerals rich alteration zones using a Landsat 8 image of Pu Sam Cap area, Lai Chau

The hydrothermal alteration zones are the important sign for mineral exploration and can be identified by remote sensing images completely, but this is limited due to the effect of vegetable. We address this problem by a method called “Directed Principal Component Analysis” (DPCA) that involves calculating principal components on two input band ratio images. One ratio is a geological discriminant, confused by the presence of vegetation; the second ratio is chosen for its suitability as a vegetation index. DPCA applied on Landsat 8 image in Pu Sam Cap area, Lai Châu characteristied by argilic alteration, sericite alteration, etc., with the typical minerals like kaolinite, illite, etc., and pyrite, chalcopyrite, magnetite; specularite, etc., The results have identified Fe - rich zones in Bai Bang and Nam Tra areas; clay minerals are concentrated mainly in Nam Tra area and along the main faults. The results are also compared with previous research data and fieldtrip data that shows similarity and feasibility. This paper indicated limitation of Landsat image such as spatial resolution, spectral resolution, etc., when applied in the tropical area.
Pedagogical Implications of Error Analysis on English Writing in the High School

As error analysis relating to English writing has been advanced, error analysis on English writing in the high school is much less concerned. Moreover, the great significance of English writing in the high school has been recognized by teachers and educators. And as an efficient and effective way to figure out students' mastery of English, error analysis has gained its popularity in the process of teaching English writing. Thus, it is necessary for teachers to pay attention to error analysis and apply it into their teaching.
Penerapan model Problem Based Learning dalam pembelajaran daring untuk meningkatkan hasil belajar siswa kelas VI di SD Negeri Mulyasari 03

This study aims to improve the learning outcomes of Grade VI students at SD Negeri Mulyasari 03 by applying the Problem Based Learning Model in Online Learning as an effort to improve and enhance the learning process. The research method used was Classroom Action Research, which included planning, acting, observing, and reflecting. The research was conducted in two cycles, each cycle carried out two meetings. The results showed that student learning outcomes improved. In the initial study, the average value was 67.08 with KKM 70 completeness of learning 18.51% after the implementation of the learning improvement in cycle I, the average knowledge value reached 76.67 and the percentage of completeness reached 66.77% and not yet completed 33.23 %. The attitude score for the very good category reached 29.17% and the good category reached 70.83%, and the average skill score reached 69.58 while the percentage of completion reached 54.17% and 45.83% incomplete. In the second cycle, it was found that the average knowledge value reached 77.08 and the percentage of completeness reached 87.50% and 13.50% incomplete. The attitude score of the very good category reached 41.67% and the good category reached 58.33%. The average skill score reached 72.08, while the percentage of completion reached 83.33% and 16.67% unfinished. Based on the data obtained, it can be concluded that using the Problem Based Learning model can improve the learning outcomes of grade VI students at SD Negeri Mulyasari 03, Majenang District.
Professionally Oriented Foreign Language Teaching In A Technical University

This article considers the need for a major upgrade of the Russian technical education to prepare specialists capable of carrying out professional contacts in a foreign language in different areas and situations.It indicates the purpose of teaching foreign languages in technical universities which is to achieve a level sufficient for practical use of a foreign language in the professional activity later in life.To improve the efficiency of the teaching process, teachers should develop new organizational forms and methodical techniques.The emphasis is made on a dual-focused educational approach.In addition, two approaches, English for Specific Purposes and Content Language Integrated Learning, are analyzed.The article presents possible ways to optimize and modernize the methodology of teaching foreign languages, and also describes the importance of the process of integrating foreign language and professional components necessary for the formation of a competitive model of a graduate-specialist in the world labor market.A new approach to the selection of learning content is involved in professionally oriented teaching of foreign language.A detailed description of all the aspects of professionally oriented foreign language teaching is described in the article.
The impact of service quality and e-Word of Mouth on the consumer purchase intention: The mediating role of e-trust: An empirical study on the Egyptian online transportation services sector

The aim of this research is to analyze the effect of service quality, e-Word of Mouth and e-trust on purchase intention in Egyptian online transportation services sector. Moreover, the current research examines the mediating role for e-trust between service quality, e-word of mouth and purchase intention. Judgmental sampling technique is used, while the study survey results in 392 valid responses. Simple and multiple regression analysis are used for hypotheses testing. The research revealed that service quality had a significant impact on both purchase intention and e-word of mouth, while it has no significant impact on e-Trust. Also, e-word of mouth significantly affected both e-trust and purchase intention. Furthermore, e-Trust didn’t mediate neither the relationship between service quality and purchase intention nor the relationship between e-Word of mouth and purchase intention. The current research offers a particular utility for online transportation management companies and for stakeholders. Knowing that online transportation is considered as an emerging industry, in which there are limited number of researches that explain consumer behavior toward this service. This research is considered as a step ahead toward understanding consumer behavior in online transportation business sector.