Reviewerly/exHarmony huggingface dataset:
USES SOCIAL NETWROKS PAVED THE WAY FOR SCIENTFIC EMERGENCE TECHNO-SOCIOLOGY AND TECHNO-PSYCHOLOGY

This research paper aims to shed the light on the effects of technology in formulating new concepts such as techno-sociology and techno-psychology. The purpose is to push researchers in disciplines such as sociology and psychology to search for the impact of social networks on the social sphere, as these networks have become part of the real social sphere and are no longer a virtual or digital sphere, but rather a living and realistic sphere that depends on technology that has become an infrastructure for this Communication is an essential component of all aspects of life and its daily requirements. Social networks have become part of the social and personal sphere, which is expressed in terms of techno-sociology and techno-psychological. This research paper relies on secondary sources in answering the main question, which is how the social and psychological formation of the new human being can be, and more precisely how the Internet, specifically social media, contributes to working on the formation of a different social and psychological personality associated with achieving the goals of the paper.
VIETNAMESE REGULATIONS ON THE POOR ETHNIC AND MOUNTAINOUS CHILDREN'S PROTECTION

Education and training development is determined as the leading national policy to ensure equality in learning for poor ethnic and mountainous children. The lack of access to quality education also means losing a potential source of future growth for the country. No schooling and access to written language and education not only reduce children's individual potential but also stifle their intellectual attainment and equal opportunities and increase cycles of poverty and disadvantage for all generations over the country. For mountainous and ethnic minority regions, illiterate children are becoming a drag on the development and integration process, preventing the industrialization and modernization of rural agriculture. Besides the positive changes, education in those regions still reveals several limitations and shortcomings that need to be overcome soon to improve the quality further.
A STUDY ON THE IMPETUSES AND CONTESTS IN THE ESPOUSAL OF CRYPTOCURRENCY FOR DIGITAL PAYMENTS

The deciding factor in the emergence of cryptocurrency as a global currency depends on the level of acceptance it gains in society. The study is based on primary data collected from a targeted sample of 750 respondents. A theoretical model based on UTAUT and TTAT was developed. A purposive sampling technique was adopted for the study, and the required data were collected using a well-structured and pre-tested questionnaire. PLS-SEM analysis has been used to assess the theoretical model of the study. The study established that perceived threat, attitude, and social influence are the significant factors affecting the adoption of cryptocurrency in India. Effort expectancy and performance expectancy have a considerable impact on the intention to use via attitude. In contrast, perceived severity and perceived susceptibility significantly affect the intention to use via perceived threat. Financial literacy and facilitating conditions don’t seem to impact the intention to use cryptocurrency as a medium of exchange in India.
A COMPARATIVE ANALYSIS OF THE IMPACT OF SOCIAL NETWORKING SITES AND THE RELATING STATUTES

The Internet is a massive computer complex that has caused millions of deaths and served both as a force of protection and destruction. As all coins have two faces, another hand of Internet is that it had overwhelmed the population by making them authentic to such a base, and multitudinous fake malefactors were in control of the situation on a single face where everything from shopping to cooking to watching live sports events was made easier. In addition, a social networking community is a community which connects or adjoins one people or community with another people or community around the globe whose health and backgrounds are insolvable to distinguish. A healthy app like Facebook or LinkedIn allows a person to produce a particular runner that adjoins them to their given family or musketeers or like- inclined individualities and allows them to feel happy and proud. Advanced sweats to limit the internet usage for order and connecting on a following, ethical, educational, safety, and fresh base have redounded from the shocking shift in gregarious authority. These events have redounded in legal and limited sweats to reduce the pitfalls associated with this new normal, which include fraud, pornography, hacking, and hacking while druggies are alone, thinker property, public security, and stoner time alone. In this setting, the current exploration trouble is free to probe the use of social community networking websites and cyber security regulations in an applicable manner. In the present exploration bid, 100 repliers (scholars at universities in Jaipur, Rajasthan, India) who constantly use collaborative media gear for winning performance of their day- to- day lives were the subject of exploratory and regular cave into slant for data compendium and psychoanalysis. The views of the repliers were statistically anatomized using SPSS's One- Way ANOVA, and the issues redounded in a negative response to the null thesis and a positive response to the alternate thesis, which states that- H1- There's a significant association between the use of social networking spots and legal violations. The current study can be attributed to some of the well- known cases that made captions. The purpose of this study was to establish a link between the position of the collaborative medium and the specifics or reason for the prevalence in exaggerated statutory businesses.
CRYPTOCURRENCY AND TECHNOLOGY: COULD IT REVOLUTIONIZE THE ECONOMIC PROSPERITY?

Cryptocurrency has been one of the most revolutionizing financial innovation of the 21st century. Cryptocurrency, led by bitcoin and Ethereum has shown promising potential to solve the global financial and economic problems and barriers. The journey of the cryptocurrency, from $0.000 to $27334 (Bitcoin) has also been no less than a charm. The cryptocurrency has seen equally dramatic and polarizing responses as well, from being called the latest gold to being dismissed as another hawala technique, the cryptocurrencies remained hugely debated and controversial financial technology of the second decade of the 21st century. Cryptocurrency evoked emotional responses and hysteria from the governments across the globe and received extreme reactions from being declared as the legal tender in some countries to being completely outlawed in another. A set of financial pundits are lauding the promises the latest innovation hold while another is busy calling it a bubble and have written obituaries, in advance. Whatever may be the ultimate fate of the cryptocurrency such as bitcoin or Ethereum but it is a sure thig that the technology would stay and would be used by various countries for tailor made financial schemes as all nations and financial institutions such as IMF and World Bank have expressed keen interest in appreciating and evaluating the potentials of technology underpinning the cryptocurrencies.&#x0D; But does the cryptocurrency hold any real potential or is it a mere farce? This research article sprang up from the curiosity set up by this question and in this article the researcher shall make an honest attempt to answer many of the potentials of the cryptocurrency and its underlying technologies, more particularly, blockchain. Researchers would also ultimately delve into the million dollar question, How could cryptocurrency revolutionise the economic prosperity.
Prediction Model of Ground Temperature Near a Heat Exchanger Using an Artificial Neural Network (Ann) and Multiple Regressions Approach

The prediction of ground temperature is of utmost importance for evaluating temperature fluctuations in both the surface and subsurface of the ground and is essential for making informed decisions. The prediction of daily ground temperature can be used in a variety of engineering fields, such as in geothermal systems. The objective of this study is to develop ground-temperature prediction models at various depths around a heat exchanger, using Multiple Linear Regression (MLR), Nonlinear Regression (NLR), and Artificial Neural Network (ANN) methods. Seven predictor variables, including ambient temperature, daily precipitation, wind speed, relative humidity, local atmospheric pressure, sunshine duration, and solar radiation, provided by the Korean Meteorological Administration (KMA), were utilized. Moreover, a database consisting of 2091 (winter) and 1034 (summer) data for each of the predictor variables and ground temperature were established for the model to predict hourly ground temperature at depths of 0, 1, 3, 5, 10, 15, and 20 meters. To evaluate the performance of the prediction models, statistical metrics, including the coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), and average absolute relative error (AARE), were used. The performance results show that the value of R2 ranges from 65% to 99% in the validation phase of each model, indicating that the prediction models accurately predict the ground temperature. Based on statistical methods, the developed ANN model displays an excellent fit with observed field values when compared to the MLR and NLR models.
Physics-Informed Neural Network for Cfar Detection with Parametric Sonar

Parametric sonar is well-known for its effectiveness in transmitting narrow beams of low-frequency detection signals. The principle of parametric sonar involves the use of a parametric acoustic array, where a self-demodulated wave is accumulatively recovered along the propagation of an amplitude-modulated high-frequency carrier wave. When the modulating signal is a detection signal, both linear and harmonic distortions are introduced in the self-demodulated wave. The seminal constant false alarm rate (CFAR) detector may process the distortions separately, but the relationship between the detection signal and its distortions is theoretically described by nonlinear partial differential equations, which do not have an analytical solution in practical circumstances. To resolve this problem, this paper proposes a physics-informed neural network (PINN) for CFAR detection with parametric sonar. The PINN utilizes an approximate solution to the Khokhlov-Zabolotskaya-Kuznetsov (KZK) equation to obtain physical information about the distortions of the detection signal. The training process of the PINN employs the weighted cross entropy loss to achieve CFAR detection by controlling the weights of target-present and target-absent. Numerical experiments demonstrate that the proposed PINN outperforms conventional CFAR detectors in scenarios involving target detection and sub-bottom profiling with parametric sonar amidst ocean noise.
THE USE OF SEMANTIC MAPPING TECHNIQUE IN TEACHING READING RECOUNT TEXT

This study deals with the investigation of semantic mapping technique in teaching reading recount text. It was intended to find out the teacher’s way in using semantic mapping technique in teaching reading recount text; and students’ perceptions toward the implementation of semantic mapping technique in teaching reading recount text. In addition, the writer used the theory from Schmitt (2002, p. 44) who explained about teacher’s ways in implementing semantic mapping word technique in teaching reading comprehension. The writer used qualitative research with the type of case study involving an English teachers and the students of eighth grade. To collect the data, classroom observation, interview, and questionnaire were utilized. The findings indicated that the teacher implemented the steps in conducting semantic mapping strategy as suggested by Schmitt (2002, p. 44. In addition, the students also enjoy the teaching learning process using the technique of semantic mapping. Furthermore, the major conclusion of this study indicated that the teacher was able to apply the semantic mapping technique that encourages the students to develop their reading skill. Regarding the weakness of this research, the present study did not point out specific factors influencing students’ motivation in learning Semantic mapping. Thus, it is recommended that further researchers should investigate teacher’s perception on implementing the technique of semantic mapping in the teaching-learning process. Keywords: reading comprehension, recount text, semantic mapping.
MOVIE CLIPS AS A MEDIA TO TEACHING WRITING OF NARRATIVE TEXTS

This paper reports on student’s perception on the effect of teaching writing of narrative texts using media movie clips. Movie clip is one kind of audio visual media which is very useful in teaching learning process if the teacher carefully prepares it and then she/he uses it effectively to support the explanation of the lesson.This research uses mixed method design with explanatory type design by means of three data collection techniques : pre test and post test, document test, and interview. The sample of this research was 12 students of ten grade from one Vocational High School in Tasikmalaya. The result of this research shows the significant effect with normality test is 0.63≥ 0.05 so that H0 is accepted. Then value of pretest comes from populations that are normally distributed, and that significant value of post test is 0.15 ≥0.05, so that H0 is accepted. The improvement made by movie clips is an avarage pretest amounting 63.58 and 77.5 for posttest. It means that there is an improvement, and the perception obtained from interview shows a lot of positive comment. Meanwhile, each student has different scores, high and low, that are able to influence how their learning achievement are in the classroom, but they have the same goal in writing class in that they want to write well and correctly. Before writing, they must also have good exercise and skill in order to get correct writing results and to achieve success in this course.Keywords: mixed method. movie clips, writing
MODALITY REALIZED ON HORTATORY EXPOSITION TEXTS USED IN SENIOR HIGH SCHOOL GRADE XI TEXTBOOK

This research is aimed at analyzing types of modality and the interpersonal meaning through modality system realized in hortatory exposition texts that is used by senior high school grade XI textbook. This study employed Systemic Functional Grammar (SFG) based on Halliday and and Matthiessen’s framework since it can seek and identify the level of language structure which makes kinds of meaning. There are five hortatory exposition texts that were analyzed based on modality system and interpersonal meaning. The first finding showed that there was modality system in all of clauses indicating author’s interpersonal meaning with the use of language value that is different in the texts. The second finding showed that different types of language value and polarity also indicated the author’s interpersonal meaning in the texts. The types of modality which were found in the five texts were dominated by modalization with positive polarity and median value. In addition, this analysis concluded that five texts comprised several modalization and modulation types which occurred in different ranks. This study suggested that further researchers investigate various texts and other aspects of mood and modality. Keywords: hortatory exposition text, interpersonal meaning, modality, textbook
VOCABULARY LEARNING STRATEGIES APPLIED BY EFL LOW AND HIGH ACHIEVERS

This study aimed at investigating vocabulary learning strategies (VLSs) applied by EFL low and high achievers and how they applied it. The writer employed a case study conducted in two senior high schools in Ciamis. There were 60 participants involved in this study consisted of 30 low and 30 of high achievers. To answer the research questions, the writer conducted semi-structured interview and administered closed-ended questionnaire based on Schmitt (1997)’s classifications of vocabulary learning strategies. From the results of completed questionnaire, the writer found that metacognitive, determination, and memory strategies were the mostly applied by EFL low and high achievers. Those strategies included using English media, consulting on bilingual dictionary, and studying a sound of word. Furthermore, the data of interview specifically showed that watching subtitled films, listening English songs, consulting on google translate, and asking friends are also involved. Finally, EFL low and high achievers have to be aware of their own preferred strategies in learning vocabulary to improve their foreign language learning. It is suggested for English teachers to facilitate students in applying their preferred strategies in learning vocabulary. Keywords: good language learner, low and high EFL achievers, vocabulary learning strategies
OVERCOMING STUDENTS’ PROBLEMS IN PRONOUNCING PAST TENSE VERBS BY MEANS OF YOUTUBE VIDEO

This study was aimed to discover whether teaching by using Youtube videos could overcome students’ problem in pronuncing past tense verbs and to discover the students’ perceptions on the use of Youtube video as teaching media. This study mixed-method study involved the eight grade students of junior high school in Ciamis Year 2017/2018 at which the sample was 27 students of experimental group and 27 for control group. Pre-test and post-test were employed to collect the quantitative data and close-ended questionnaires to collect the qualitative data. The findings indicated that t-observed was 2.344 with degree of freedom 52 and level of significance 0.05 with two tailed test t-table (2.021). It implied that t-observed was higher than t-table (2.344 &gt; 2.021) resulting in rejecting Null hypothesis. It means that there were significant differences on the students’ pronunciation achievement who were taught before using YouTube video and after using YouTube video. Also, students have positive perceptions toward the use of Youtube video as teaching media to overcome their problem in pronouncing past tense verbs such as feeling more intellegent, interested and effective in learning speaking especially pronunciation. This study suggested that Youtube video as media can be applied in other level of students. Keywords: Pronunciation, Past Tense, Youtube Videos
A Comprehensive Review on Association Rule Mining and its Algorithms: Apriori, FP Growth, and SS-FIM

Abstract: The technique of extracting usable information from databases is known as data mining. It is employed to manage massive amounts of data. In order to forecast future trends and behaviours, data mining is performed. Today, data mining is a technique that is growing helpful since it has many uses. Massive amounts of data are produced daily in many different fields. Data mining is utilised since it is challenging to analyse such a big volume of data. It is often referred to as database knowledge discovery (KDD). Data mining technologies are used to forecast the behaviour and pattern of the data, assisting organisations in decision-making [1]. Association Rule Mining is one of the data mining techniques discussed in the present article. It has three algorithms. 1. Apriori, 2. FP-Growth, and 3. SS-FIM. In the current work, all three algorithms are discussed. After examining each algorithm, it was determined that the SS-FIM algorithm had the best combination of features
Virtual Assistant

Abstract: Python is a relatively new programming language, and writing a script for a voice assistant in Python is simple. How the assistant responds to our requests is entirely under our control. We can convert anything we speak into text using voice recognition. This method is used by all voice-activated assistants like Alexa, Siri, Cortana, and others. Python's Speech Recognition library makes it easy to convert speech into text. The challenge of making my own personal helper was exciting. You can now launch your preferred IDE, send emails, perform web searches, play music, and more with just one voice command without ever opening a browser. Given the status of technology today, it is capable of performing any task at least as well as we do, if not better. This project's capabilities include being able to send emails to anyone, read PDF files for you, send WhatsApp messages, etc. Now, the fundamental question is: How is it an AI? The virtual assistant I developed isn't quite artificial intelligence, but it is the result of a number of statements. Artificial intelligence (AI) computers' main objective is to carry out tasks as effectively and efficiently as people. My virtual assistant is not a particularly good example of artificial intelligence, but it is one, and that is a fact.
An improved clustering based on K-means for hotspots data

Riau province is one of the provinces in Indonesia where forest fires frequently occur every year. Hotspot data is geothermal points and they can be utilized as an indicator of forest fires. Clustering’s method can be used to analyze potential forest fires from hotspot data’s cluster pattern. In this study, hybrid genetic algorithm polygamy with K-means (GAP K-means) was used for hotspot data clustering. GA polygamy was used to determine the initial centroid of K-means. It was used to solve the sensitivity of K-means to the initial centroid, and to find the optimal solution faster. Experimentally compared the performance of GAP K-means, GA K-means, and K-means on the hotspots data, two artificial datasets, and three real-life datasets. Sum square error (SSE), davies bouldin index (DBI), silhouette coefficient (SC) and F-measure are used to evaluation clustering. Based this experiment, GAP K-means outperforms than K-means but GAP K-means still not fast to achieve convergent than GA K-means.
A literature review for measuring maintainability of code clone

Software organizations face constant pressure due to stakeholder requirements and the increasing complexity of software systems. This complexity, combined with defects in code quality and failures, can pose risks to software systems. To ensure code is understood before maintenance, developers must spend over 60% of their time modifying and improving code quality, which is costly. This study examines the impact of code refactoring activities on software maintainability and quality by reviewing relevant research and explaining key terms. The research finds that refactoring activities can enhance specific quality characteristics, including maintainability, understandability, and testability. The study also identifies important factors that should be considered when developing refactoring tools. Refactoring enables code improvement without altering program behavior and can be applied multiple times to source code.
Summarizing twitter posts regarding COVID-19 based on n-grams

The COVID-19 pandemic announced by the World Health Organization has disrupted human lives at different scales, including the economy, public health, and people's emotions. Social media databases record huge accumulated information concern this pandemic. Twitter platform is considered one of the most active social media that enable users to tweet in different conversations they are concerned about. The problem arises when tweeters want to search about a specific topic. They can only sort tweets by its recency to understand conversation and not by relevancy. This makes tweeters read through the most tweets to understand what was firstly discussed about the related topic. Some strategies were developed for summarizing tweets but summarizing topics of COVID-19 are still at the beginning. The current research aims to introduce a technique to present a short summary related COVID-19 topics with consuming little time and effort. Thus, summarization task started by clustering topics based on latent dirichlet allocation (LDA) method and K-means clustering and then selected the important sentences to format summarization. The study also compares bigram-based and unigram-based summarization. Different metrics were used to evaluate results and experiments at each stage, and the output of the proposal system was evaluated using ROUGE metrics.