Reviewerly/exHarmony huggingface dataset:
SITUATIONAL FACTORS: BASES FOR IMPROVING THE ATTITUDE AND MOTIVATION OF ESL LEARNERS’ SPEAKING SKILLS IN THE COLLEGE OF ARTS AND LETTERS

This paper highlights the importance of enhancing the speaking skills among ESL freshmen in the College of Arts and Letters of Bulacan State University. The respondents in this study were Bachelor of Arts in Mass Communication Major in Broadcasting Sections A to D. Although this course requires oral communication proficiency for global competitiveness, only a few students participate actively in classroom discussions. Many of them lag behind in terms of speaking skills. The ability to speak English has become the norm in the country and around the world. Graduates who possess such a skill can have better opportunities locally or internationally compared with those who cannot speak fluently. Hence, the researchers looked into the role of attitude and motivation in enhancing speaking skills among the respondents in terms of the following: demographics, the attitude of students toward English, situational factors affecting the attitude of students toward English, the motivation of students in learning English, and students’ beliefs about learning English. The research instrument was administered to the respondents via Google Forms. The 32-item questionnaire was designed to determine the attitudes and motivation of ESL students toward learning English. Each of the respondents was scored from 1-5 on a Likert Scale. Through the use of the Pearson Correlation Coefficient, Fisher Z-test, and P-Value in testing the hypotheses, data were analyzed and interpreted. The Likert Scales show the participants had an incredibly positive attitude and behavior toward English in general. Among all motivation items, the top factors affecting students to learn more in English are the Student’s Practical Purpose, Correction of the Teacher during Class, Communication Focused Class Activities, and Positive Atmosphere during class. Based on the findings of the study, language teachers should take advantage of motivation to foster a positive attitude among the students when it comes to speaking skills through the use of authentic materials such as audio, video, printed, and softcopies. Factors such as activities, environment, and teachers’ attitudes should be the point of reference in determining which learning materials work best in enhancing the speaking skills of the students.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0023/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
A STUDY ON PROBLEMS IN SPEAKING OF ENGLISH-MAJORED FRESHMEN AT TAY DO UNIVERSITY AND SOME SUGGESTED SOLUTIONS

In this globalization era, there have been drastic changes taking place all over the world. People’s desires are fulfilled when they clearly express their ideas and opinions to others. Thus, they need to learn speaking skills in order to fulfill their ambitions, desires, and goals. However, it is so difficult for students to master this skill because they encounter some common problems when speaking. Therefore, the research entitled "A study on problems in speaking of English-majored freshmen at Tay Do University and some suggested solutions" was carried out in order to identify common problems in English speaking of English majored freshmen at Tay Do University and provide some suggested solutions. In this study, questionnaires and interview papers were used as the main instruments to collect the data. The participants were 80 English-majored freshmen in the two classes of English course 16 including 16A and 16B at Tay Do University. The study's findings revealed that freshmen majoring in English had several common problems with vocabulary, pronunciation, grammar, the influence of mother tongue, and psychology in speaking. It is expected that this study will assist English-majored freshmen at Tay Do University in recognizing and overcoming obstacles in the process of speaking.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0027/a.php" alt="Hit counter" /&gt;&lt;/p&gt;
Discorsi e pratiche interculturali alla prova del populismo

Interculturalism is a way to deal with the cultural difference, which is a growing issue today and often manipulated in politics. In recent years, the populism (along with sovranism, nationalism, and authoritarism) has been the true enemy of the intercultural discourse, widening intolerance and racism in both social interactions, media communication, and urban contexts. The article aims at analyzing the fundamentals of Interculturalism and their apparent discrepancy with populism, providing reflexivity as a remedy to the current loss of sense of the intercultural discourse which sometimes became functional to the institutional racism. Firstly, the article recalls the basic values to understand the different nuances of interculturalism; secondly, it argues that leaving the “passion for interculturalism” up to the practicalities disempowers the intercultural discourse within the ambivalence of the field level. The authors argue about the need to focus also on the intermediate level in which embedding a rigorous discourse, inspired by the “reflexivity” critique. This is applied to the policy making in some crucial social and educational fields. The social planner is meant to use clear “middle ray concepts” and to distinguish the intercultural solutions from the populistic ones, on the basis of 4 antinomies: simplicity vs. complexity; rapidity vs. duration; conflict vs. conciliation; self-centered self vs. decentered self.
A novel 3D chaos-based encryption system for satellite communication

To address the problem of privacy protection in satellite communication, according to the proposed new three-dimensional chaotic system, this paper achieves the concealment of picture information by one-dimensional index scrambling and encryption operation in QPSK modulation for 24-bit true color pictures and completes the reception and decryption of ciphertext picture data and recovery of picture information at the receiver side. Through the simulation of the encryption algorithm, it is proved that the encryption system has better encryption than the classic logistics chaos encryption system and has the ability to resist statistical analysis attack, differential attack and noise interference. The whole image encryption system is implemented on FPGA, which proves its great potential for future application in satellite communication.
Knowledge Base Reuse With Frame Representation In Artificial Intelligence Applications

The creation and upkeep of knowledge bases have emerged as the primary issue in artificial intelligence development. The knowledge domain is expanding, and application interoperability is urgently demanded. To accommodate this modification, the knowledge base, which serves as the foundation of the artificial intelligence architecture, must be updated. XML (extensible markup language), RDF (resources description framework), DAML (DARPA agent markup language), OIL (ontology inference layer), and OKBC are just a few of the standards that have been introduced as a result of the development of the internet (Open Knowledge-Base Connectivity). One type of knowledge representation that can store information and facts about a subject is frame-based representation. The OKBC, which can help with knowledge base interoperability, supports this approach. In this work, the main issues covered are the comprehension and fundamentals of knowledge base creation with frame representation. To better understand how frame representation functions as a reusable component, a case study from a news publication were used as an example.
A comparative study of mobile learning implementation modes

In recent years, as people pay more and more attention to improving their theoretical knowledge, they can ensure online learning anytime and anywhere by adopting mobile learning. This paper mainly analyzes and studies the concept of mobile learning, and briefly describes the online and offline types of mobile learning. Finally, a comparative analysis is made on each seed mode involved in online type and offline type, so as to effectively ensure that the appropriate learning mode is selected according to the comprehensive consideration of learning content, learning demand, learning situation and other factors during mobile learning.
Challenges, Workload and Views of Secondary School Teachers on the Implementation of Home Base Teaching and Learning (HBTL) During the Covid-19 Pandemic Era

The hit Covid-19 has had various impacts on teachers 'workloads such as teaching and learning shifting from conventional to online, more challenging and complex HBTL preparation, school side assignments and so on.Therefore, this study aims to identify the challenges of teachers, workload and views of teachers in the implementation of HBTL in the era of covid-19 pandemic.This study uses a mixed design and involved 52 urban and rural secondary school teachers in Temerloh, Pahang.Data collection was done using questionnaires and structured interviews.The data obtained were analyzed descriptively statistically using Statistical Package for Social Science (SPSS) version 26 and qualitative data analysis methods.The findings of the study showed that the level of teachers' challenges and teachers' workload were at a high level and teachers' views were positive on HBTL.The findings of this study also show that there are differences between the level of teacher challenge in HBTL, the level of teacher workload and teachers' views with urban and rural school locations.This study shows that the Ministry of Education Malaysia and schools need to provide various approaches and methods of teaching and learning in a structured and planned to teachers optimally to help teachers increase the use of ICT in HBTL and reduce the workload of teachers.In addition, ministries and schools need to ensure adequate internet access and digital devices to reduce the gap between urban and rural schools related to the challenges, teacher workload and teachers' views in HBTL.
MOBILE DEVICE FOR CHEMICAL CLEANING OF HEAT EXCHANGERS

Heat exchangers are one of the most frequently used elements in the process industry. Water is usually used as a heating fluid and often is not chemically prepared, i.e. it has bicarbonate, calcium, and magnesium, which make the water temporarily hard and form incrustations on the primary side of the heat exchanger. The paper shows a device for chemical cleaning of the heat exchanger without disassembling it and when the secondary side of the heat exchanger is actively working. Tests of the device in operation were carried out in the machine plant of the Tonanti Hotel in Vrnjačka Banja from 2021 to 2022, where it showed high reliability and complete independence in operation.
Pengembangan Game Pembelajaran Menggunakan Platform Wordwall pada Tema 3 Makananan Sehat Kelas V Sekolah Dasar

With the current learning conditions that are increasingly advanced, students need supporting learning media, namely flexible learning media that students can access without having to be in the classroom. However, the use of learning media is still lacking and limited, especially technology-based learning media such as learning games. Learning games using Wordwall can help teachers develop instructional media that students can practically access outside of the classroom. The goal achieved in this study is to determine the feasibility and practicality of the learning game. This type of research is Research and Development (R&amp;D). The development model used in this study is the ASSURE model which has 6 stages of development, namely analyze learner, state objectives, select instructional method, utilize media and materials, require learner participation, evaluate and revise. The results of the validity test of learning game media by media expert I are categorized as "Very Valid" with the highest score of 5 and the lowest score of 4, getting a total of 53 points with an average of 4.81. Meanwhile, media expert II's media validity assessment data is also categorized as "Very Valid" with the highest score of 5 and the lowest score of 4, the total number of points is 54 with an average of 4.90. As well as the practicality test results of this learning game in the "Very Practical" category by obtaining a total score of 963 out of a maximum score of 1,000, an average score of 4.8. Development of learning games using the Wordwall platform on Theme 3 Class V Elementary Schools is appropriate for use as a learning medium and supports the learning process.
Research on the system and method of online learning provided by mobile learning environment

In recent years, with the rapid development and progress of information technology, education department management personnel in order to effectively improve the effect of online learning, through the setting of mobile environment teaching mode, along with the online learning system to improve the update, attracted wide attention in the education circle. This paper mainly analyzes and researches the automatic evaluation method of learning system in mobile environment.
Representing Ancient Egyptian Inscriptions of the Old Kingdom Digitally: Dynamic Visualizations of Poetic Form and Inscriptional Layout

Texts, and texts as inscriptions in particular, are complex objects, posing challenges to digital representation. What may be defined as the linguistic text (the text as an ordered composition of words) is not only a matter of lexicon and grammar. Relevant dimensions also include intertextual relations with other texts (notably in terms of formulae and formulaic schemes), as well as the poetic form, or structure, of the text, which can be complemented by features of inscriptional layout. More broadly, what may be called the inscriptional text (the text as a physically dimensional and architecturally localized artefact inscribed in stone) often carries further significations. Based on two practical examples of Old Kingdom inscriptions (Harkhuf, Hezi), the paper will discuss which dimensions should be present in a digital corpus of inscriptions as complex, multi-dimensional objects.
Development of Mobile Information Collection System Based on IServer

Data is the "blood" of GIS.GIS focuses on data input, analysis and output, so data collection is particularly important.Traditional surveying and mapping has some shortcomings, such as backward equipment, low accuracy of data acquisition, low acquisition efficiency, and high cost of manpower and material resources.In the information collection of modern urban planning, traditional surveying and mapping has been difficult to meet the needs of data collection.At the same time, the emergence of various mobile intelligent devices and the increasingly mature development of related software and hardware make mobile terminal information acquisition technology gradually replace traditional surveying and mapping in field operations.This paper combines traditional surveying and mapping and modern information technology to develop the mobile terminal information acquisition system based on iServer.First, learn about the development of information collection technology in mobile GIS at home and abroad by consulting
Analysis on the Characteristics and Geological Significance of Variation Function in Mineral Geological Modeling

Variation function is a basic tool used in geostatistics.Modern geostatistics using variation function as a tool for the result of the qualitative geology to quantitative geology development.Variation function has not only been widely used in the calculation of modern geological and mineral resources reserves, but also extended to the description of environmental pollution and the spatial migration of elementions.Variogram is a set of deterministic and statistical theoretical tools for understanding and simulating spatial variables.Taking the variogram as a tool which is in the most commonly used in modern geostatistics, the variogram model can be divided into three categories according to the value of the base station or not, the first is the base-station value, which is divided into spherical model, exponential model, 作者简介 徐春华
FAKE MEDIA DETECTION BASED ON NATURAL LANGUAGE PROCESSING AND BLOCKCHAIN APPROACHES

Social media network is one of the important parts of human life based on the recent technologies and developments in terms of computer science area.This environment has become a famous platform for sharing information and news on any topics and daily reports, which is the main era for collecting data and data transmission.There are various advantages of this environment, but in another point of view there are lots of fake news and information that mislead the reader and user for the information needed.Lack of trust-able information and real news of social media information is one of the huge problems of this system.To overcome this problem, we have proposed an integrated system for various aspects of blockchain and natural language processing (NLP) to apply machine learning techniques to detect fake news and better predict fake user accounts and posts.The Reinforcement Learning technique is applied for this process.To improve this platform in terms of security, the decentralized block chain framework applied, which provides the outline of digital contents authority proof.More specifically, the concept of this system is developing a secure platform to predict and identify fake news in social media networks.
Supplementary text from ConsensusDriver Improves upon Individual Algorithms for Predicting Driver Alterations in Different Cancer Types and Individual Patients

&lt;p&gt;Supplementary text that describes parameters used for driver prediction methods and analysis of machine learning approaches for consensus generation.&lt;/p&gt;
Energy and cost efficiency of Bitcoin mining endeavor

The main aim of the study is to analyze BTC mining’s efficiency under current market conditions (December 2021), including soaring energy prices produced from many different sources in different geographical locations. After a thorough analysis of initial assumptions concerning the (1) price of mining machine with associated components and its effective amortization period, (2) difficulty and the hash rate of the BTC network, (3) BTC transaction fees, and (4) energy costs from various sources, we have found that currently, BTC mining is not profitable, except for some rare cases. The main reason for this phenomenon is the fast and unpredictable increase of difficulty of the BTC network over time which results in decreasing participation of already purchased mining machines in the BTC network hash rate. The research is augmented with a detailed sensitivity analysis of mining efficiency to initial parameters assumptions, which allows observing that the conditions for BTC mining to be efficient and profitable are very challenging.
UPLABOUR

The system is a web Application which acts as Guide for providing labour to those in need when specific input is given to the system. This system basically aids not just the labourers but also the other businesses as well as the consumers. Every labourer will have to enter his/her detail, with his professional specifications and what kind of job they are looking for. Businesses can make use of this application in terms of auctions, inventories and contracts. Consumers on the other hand get to select from a pool of labourers whom they think might be the most suited for the job that requires to be done.
Review: Outlier Detection using Clustering Based Techniques in Data Stream

Outlier detection is a critical data mining task used to detect and, where necessary, delete abnormal occurrences from dataset or tries to uncover useful anomalous and uneven patterns contained in large datasets. Various approaches are used to assign data points in different clusters based on different parameters. In this paper, we present a review of various existing approaches based on clustering of data points for detecting outliers from data set. The survey will cover the traditional outlier detection methods for static datasets, low dimensional datasets and recent developments that deal with outlier detection problems for dynamic data stream and high-dimensional datasets. In a comparative analysis, we highlight their benefits and drawbacks. Key Words: Outlier detection, Clustering based outlier detection, D-Stream, CORM, Hy-CARCE
Sentiment Analysis Terhadap Perspektif Warganet Atas Tragedi Kanjuruhan Malang di Twitter Menggunakan Naïve Bayes Classifier

Media sosial Twitter adalah salah satu tempat bagi warganet dari seluruh dunia untuk menyampaikan perspektif mereka, sebuah insiden yang terjadi di Stadion Kanjuruhan Malang pada tanggal 01 Oktober 2022 sedang hangat diperbincangkan, sehingga memunculkan berbagai perspektif yang memicu timbulnya pro-kontra di masyarakat. Atas dasar itu untuk mengklasifikasikan perspektif positif atau negatif warganet di Twitter, maka dilakukan analisis sentimen menggunakan Naïve Bayes Classifier. Analisis sentimen dilakukan dengan mengambil tweet warganet di Twitter dengan hashtag UsutTuntasTragediKanjuruhan yang diambil 1.500 tweet untuk dijadikan dataset. Preprocessing data terdiri dari Annotation Removal, Remove Hashtag, Transformation Remove Url, Regexp, Indonesian Steaming, Indonesian Stopword Removal. Hasil analisis berjalan dengan baik dengan nilai akurasi 77,67%, kemudian nilai precision sebesar 77,19%, nilai recall sebesar 78,50%, dan nilai AUC 0.820 (good classification). The social media site Twitter is a place where Internet users around the world can exchange perspectives on current discussions. One of them is football; this sport is a hobby that is loved by all corners of the world, including the people of Malang. With their love for this sport, they call themselves Aremania, namely Arema Malang team supporters, but a dark incident occurred. The Kanjuruhan at Malang Stadium on January 10, 2022, raised different views from all Twitter user accounts, which led to an increase in tweets and became a trending topic at that time. To develop different perspectives based on what brings advantages and disadvantages to the community, a procedure was applied to classify Twitter users' positive or negative perspectives through sentiment analysis with the Nave Bayes classifier. Sentiment analysis was carried out by indexing Twitter user tweets with the hashtag "UsutTuntasTragediKanjuruhan," crawling data from 1,500 existing tweets as a dataset, after which the data to be processed is identified. (labeling) for the next step, namely stage Data preprocessing includes annotation removal, hashtag removal, URL removal, regexp, Indonesian steaming, and Indonesian stopword removal, as well as operators' smote upsampling. Making a confusion matrix that shows the final result of the analysis is going well, namely the value accuracy of 77.67%, the value precision of 77.19%, the value recall of 78.50%, and the value AUC of 0.820 (good classification).