Reviewerly/exHarmony huggingface dataset:
METODOLOGIA PARA ELABORAÇÃO DE MAPAS DE PRODUTIVIDADE FOTOVOLTAICA NO RIO GRANDE DO SUL

This paper presents a sequence of procedures to convert solar radiation data measured on hourly basis in monthly daily averaged irradiation on inclined planes and urban photovoltaic potential maps. It also proposes a method to insert spatial interpolation of these data by using irradiation results estimated from satellite data. The procedures should be used to develop the Solarimetric Atlas of Rio Grande do Sul.
DESEMPENHO DE SISTEMA FOTOVOLTAICO/TÉRMICO (PV/T) CONECTADO A RASTREADOR SOLAR DE DOIS EIXOS (DAST)

This article presents the development of a prototype photovoltaic/thermal (PV/T) system connected to dual-axis solar tracker (DAST). In order to analyze electrical and thermal performance of the PV/T-DAST system, comparing the results to a fixed photovoltaic module without temperature control. Hybrid system photovoltaic/thermal consists of photovoltaic modules coupled to heat extraction devices, providing electrical and thermal energy. The revised articles of the water-based PV/T system, presents values of thermal efficiency between 35.4% and 74.6%, and the increase of electrical production between 2.5% and 15%. Dual-axis solar tracker acts by moving the face of the photovoltaic module towards the point of highest incidence of direct radiation, increasing the production of electricity. The revised articles of the DAST performance, presents an increase in the production of electricity between 24% and 41%. The prototype showed 43.71% thermal efficiency and 37.86% increase in electrical production. The consumption of electric motors represented a decrease of 0.05% in the energy produced. The PV/T-DAST combination increases the production of photovoltaic modules, providing heating and gain in electrical production, expanding its competitiveness in the energy market.
Human Motion Prediction Based on a Multi-Scale Hypergraph for Intangible Cultural Heritage Dance Videos

Compared to traditional dance, intangible cultural heritage dance often involves the isotropic extension of choreographic actions, utilizing both upper and lower limbs. This characteristic choreography style makes the remote joints lack interaction, consequently reducing accuracy in existing human motion prediction methods. Therefore, we propose a human motion prediction method based on the multi-scale hypergraph convolutional network of the intangible cultural heritage dance video. Firstly, this method inputs the 3D human posture sequence from intangible cultural heritage dance videos. The hypergraph is designed according to the synergistic relationship of the human joints in the intangible cultural heritage dance video, which is used to represent the spatial correlation of the 3D human posture. Then, a multi-scale hypergraph convolutional network is constructed, utilizing multi-scale transformation operators to segment the human skeleton into different scales. This network adopts a graph structure to represent the 3D human posture at different scales, which is then used by the single-scalar fusion operator to spatial features in the 3D human posture sequence are extracted by fusing the feature information of the hypergraph and the multi-scale graph. Finally, the Temporal Graph Transformer network is introduced to capture the temporal dependence among adjacent frames within the time domain. This facilitates the extraction of temporal features from the 3D human posture sequence, ultimately enabling the prediction of future 3D human posture sequences. Experiments show that we achieve the best performance in both short-term and long-term human motion prediction when compared to Motion-Mixer and Motion-Attention algorithms on Human3.6M and 3DPW datasets. In addition, ablation experiments show that our method can predict more precise 3D human pose sequences, even in the presence of isotropic extensions of upper and lower limbs in intangible cultural heritage dance videos. This approach effectively addresses the issue of missing segments in intangible cultural heritage dance videos.
How TypeScript Came to Be

As we start our TypeScript journey, we delve into the background of this powerful programming language. To truly grasp the capabilities of TypeScript, it is essential to understand its roots and the context in which it evolved. We’ll take a brief trip through the history of JavaScript and ECMAScript and how these played into the development of TypeScript in late 2012. This brief background will help us get both a clearer sense of the problems TypeScript solves as well as the reasoning behind some of the evolution of TypeScript itself. Understanding these key points, around the need for more scalable velocity, and how testing and docs can be delivered in the simplest possible way to solve this will give us a strong foundation for fully understanding the direction and outcomes of the TypeScript language.
Discovering developmental trajectories and trends of conversational agent research using dynamic topic modeling

Conversational agents have been around for a few decades without going mainstream. However, in recent years, conversational agents have seen a surge in interest. At the most basic level, a conversational agent is a dialogue system built on artificial intelligence, enabling it to interact to a certain level of conversation with a human interlocutor through text or voice (Pérez, Daradoumis, & Puig, 2020). The first example of such, the chatbot ELIZA, was created by MIT professor Joseph Weizenbaum in 1966. Since then, conversational agents have been used in different fields for varying processes. The aim of this study is to reveal the developmental trajectories and current status of conversational agent research. The dynamic topic modeling method was used to analyze the diffusion of conversational agents technology in scientific literature. Dynamic topic modeling is a form of unsupervised machine learning to extract abstract topics from extensive collections of documents. The data for this study is exclusively acquired from the Web of Science (WoS) of Clarivate Analytics. The time span was restricted from 2001 to 2021, and the final search yielded 2,110 final documents. In the end, the topics that emerged from the data analysis were grouped under two main themes: usage areas and design and development.
Evaluating the self-disclosure of personal information to AI-enabled technology

Communication technologies equipped with artificial intelligence (AI) are proliferating throughout society and communicating with individuals in the role of teacher, companion, service employee, medical assistant, caregiver, and others. Considering the communication ability and increasing intelligence of technologies that interact with people, this chapter reviews current literature on the extent to which individuals might disclose personal, sensitive, and potentially embarrassing information to AI-enabled technology. In addition, given recent advances in developing autonomous and humanoid appearing robots, the chapter discusses the extent to which people may disclose personal and potentially embarrassing information to robots that are gaining in intelligence and social skills. The chapter concludes with a discussion of the design and use of AI-enabled devices to enhance the communication process and exchange of information between individuals and emerging AI technologies.
Deep Learning-Based Visual Navigation Algorithms for Mobile Robots: A Comprehensive Study

This research addresses the challenges faced by mobile robots in efficiently navigating complex environments. A novel approach is proposed, leveraging deep learning techniques, and introducing the Neo model. The method combines Split Attention with the Res-NeSt50 network to enhance the recognition accuracy of key features in the observed images. Furthermore, improvements have been made in the loss calculation method to improve navigation accuracy across different scenarios. Evaluations conducted on AI2-THOR and active vision datasets demonstrate that the improved model achieves higher average navigation accuracy (92.3%) in scene 4 compared to other methods. The success rate of navigation reached 36.8%, accompanied by a 50% reduction in ballistic length. Additionally, compared to HAUSR and LSTM-Nav, this technology significantly reduced collision rates to 0.01 and reduced time consumption by over 8 seconds. The research methodology addresses navigation model accuracy, speed, and generalization issues, thus making significant advancements for intelligent autonomous robots.
A semiotic intertextual analysis of beauty influencers' communication strategies on youtube: uncovering meaning and influence by using Pierce's framework

This research aims to conduct a semiotic intertextual analysis of beauty influencers on YouTube. Specifically, the study centers on two prominent beauty influencers, Andra Alodita, and Kornelia Meilinda, and their strategies for effectively promoting recommended lipstick products. The research was conducted employing a qualitative approach, utilizing Peirce's semiotic theory. The findings reveal that beauty influencers strategically employ visual elements to convey meaning and captivate viewers' attention. Both Andra Alodita and Kornelia Meilinda meticulously craft their content, considering factors such as color schemes, backgrounds, and object placement. They adopt distinct approaches to reviewing lipstick products tailored to diverse audiences and preferences. This multiplicity of perspectives enhances the complexity of semiotic elements within beauty influencer content and broadens the spectrum of meanings conveyed to viewers. Furthermore, the findings underscore the significance of semiotic intertextuality as a potent tool for beauty influencers to shape meaning, influence perceptions, and resonate with their extensive audience. These findings offer valuable insights for marketers, brands, and content creators seeking to leverage semiotics' potential in shaping beauty trends and consumer behavior.
Use of Mind Mapping Technique on Students’ Speaking Achievement At SMAN 11 KENDARI

The researcher conducted this study to describe whether there was a significant effect on the speaking achievement of the students of SMAN 11 Kendari after being given a mind mapping technique and the he population in this study was class XMIPA SMAN 11 Kendari the total number of students was 82, while the sample of this study was class X MIPA 3 which consisted of 22 students. This research was conducted with a pre-experimental research design. In this study, data were collected after giving pre-test, treatment, and also post-test to students. The analytical data used by the researcher was descriptive analysis and to analyze the data, the researcher used SPSS version 25. Based on the findings of the research, it shows that the mean score of students’ score on pre-test is 2.068, whereas the mean score of students on post-test is 3.12. Indicated that the mean score of students on post-test is higher than the mean score on pre-test. Then, based on the result of hypothesis testing, it is acquired that ttest = 10.042 while ttable = 1.721. Next, the probalility value sig 2-tailed 0.000 is lower than the level of significance 0.05. In other words, the alternative hypothesis H0 is rejected and H1 is accepted. This means that there is a significant effect of the mind mapping technique on students' speaking achievement at SMAN 11 Kendari.
Teacher’s Strategies to Cope with Students’ Problems in Writing Descriptive Text at SMA Negeri 1 Napabalano

This research aims to investigate the teacher’s strategies to cope students’ problems by the students in writing descriptive text at grade ten of SMA Negeri 1 Napabalano. The design of this research was descriptive qualiatative research. The subject of the study was the English teacher at SMA Negeri 1 Napabalano. The instruments to collect the data were observation, questionnaire and interview to analyze the teacher strategies to cope the vocabulary, structure and generic structure problems by the students in writing descriptive text. The result of this research related that the English teacher used four strategy namely t-chart strategy, Idea-details strategy, mind mapping strategy and tell-show strategy. First, t-chart strategy is focused of the vocabulary problems by the students. Second, mind mapping strategy is focused of the structure problems by the students. Third, tell-show and idea-details strategy are focused of generic structure problems by the students. The last, the strategy that is not applied by the teacher through the three instruments is draw label caption.
The Effect of Three-Step Interview on Students’ Speaking Ability (A Pre-Experimental Research of 2nd Grade Students of SMAN 1 Kabawo)

The aim of the study is to examine the effect of three-step interview technique on students’ speaking ability. The design of the study was pre-experimental design. The population of the study was all of the students of second grade students of SMAN 1 Kabawo in academic year 2020/2021. The sample of the study was 29 students from class XI IPA 3. They were chosen by using purposive sampling. The instrument of the study is oral test. The result shows that there is a significant effect of using three-step interview technique toward speaking ability of the students. It can be seen from mean score of post-test 2.7069 and mean score of pre-test 1.8534. It means that the students’ speaking ability in English speaking skill is improved. Besides, to prove the hypothesis, the researcher compares the t-test and t-table. The total of t-test was 9.44 and t-table was 2.048. So, t-test is higher than t-table or H1 was accepted. This shows that there is a significant effect of using Three-step interview technique on students’ speaking ability at second grade students’ of SMAN 1 Kabawo. It can be concluded that Three-Step Interview technique is appropriate to be used in teaching speaking to the students at SMAN 1 Kabawo.
Comparative Study of Introvert and Extrovert Students on Their English Learning Achievement at Second Grade of SMAN 1 Konawe Selatan

This research aimed to find out what characters were owned by students and which one had a better English score between introverted and extroverted students in grade-2nd students at SMAN 1 Konawe Selatan. This research used an ex post facto research design with a descriptive quantitative approach. In collecting data, questionnaires and documentation were used as instruments. The questionnaire was adapted from the Eysenck Personality Questionnaire (EPQ) which categorizes students into introverts and extroverts. The total population in this research was all students of grade-2nd in the first-semester academic year 2021/2022 as many as 160 students. The researcher only took 50 introverted students and 70 extroverted students as respondents. To analyze the data, it was though the technique; of data collection, data identification, data classification, explanation, tabulation, and data analysis used descriptive statistical techniques which are processed in SPSS 23.0 program and draw a conclusion based on statistical results. The results showed that from independent sample t-test had a probability value (sig.2-tailed) &lt; 0.05, where to 4162 was higher than ttable 1.99 and 2.6. Based on the research results, the alternative hypothesis (Ha) was accepted and the null hypothesis (Ho) was rejected. In conclusion, the scores of extrovert students' English achievement are better than introvert students.&#x0D; Keywords: Introvert, Extrovert, Learning Achievement
UPAYA MENINGKATKAN KEMAMPUAN SISWA MENULIS KARANGAN NARASI MELALUI METODE PENEMUAN

This research was conducted in the even semester of 2022. The subjects of this research were 34 students in class XI-MIA Dahlia SMA Negeri 1 Telukdalam. This research was conducted in two cycles with implementation procedures: (1) planning, (2) action, (3) observation, (4) reflection. The research instruments used in the data collection process were observation sheets used as qualitative data sources and tests used as quantitative data sources. Based on the results of this study it was concluded that the application of the discovery method could increase the ability to write essays students play an active role during the learning process of writing narrative essays in cycle I the average value was 51.32 with a percentage of 20.58% while cycle II the average value was 80 with a percentage of 88 .24% have fulfilled the KKM at SMA Negeri 1 Telukdalam 2021/2022 Academic Year. Based on the results of the study, it is suggested (1) that Indonesian language teachers in class XI-MIA Dahlia at SMA Negeri 1 Telukdalam can use the research method as a source of information to determine students' abilities in the learning process, and (2) for students at SMA Negeri 1 Telukdalam to find out how far which abilities they have in the learning process.
Examining Student Speaking Ability Through Zoom Application in Pandemic Covid-19 Era

This study aims to measure the effectiveness of the zoom application for junior high school students. This study uses experimental research with a pre-experimental design one-group pretest-posttest with a quantitative description of the method. The subjects of this study were 30 eighth grade students in semester 1. The Paired Sample t-test table showed that the average speaking score of the students on the pre-test and post-test increased from 43.70 to 55.47. This shows that the students' scores increased after being taught by using video blogs. The results of the paired sample t test also showed a sig value of .000. As a condition of the hypothesis, whether the significance value is less than the significance level (0.05), it means that the null hypothesis (Ho) is rejected while the alternative hypothesis (Ha) is accepted. From the above requirements it can be concluded that the null hypothesis (Ho) is rejected while the alternative hypothesis (Ho) is accepted. This means that there is a significant difference in students' speaking scores before and after being taught by using the zoom application as a media learning
The Importance of Sight Word Recognition to Improve Reading Fluency

Reading is one of crucial skills for mastering English proficiency. It does not only involve the ability to pronounce correctly, but also to understand the text as a whole. It does not only have tremendous power when it comes to fuelling the development of all aspects of language ability, its importance to the entirety of a human life cannot really be overstated nowadays. The fact that English is full of silent letters and unexpected sounds provoke the learners to simply memorize the spelling of a word in order to recognize its written form in the future. The inconsistency between letters and phonemes, more than one way to spell the same sound, are the basic problems for the learners, especially beginners. Dealing with the matter of inconsistency, the technique and strategy to learn English is gradually upgraded. This study applies descriptive analysis method to reveal the sight word recognition strategy focusing on upgrading the competency in mastering vocabularies and reading. The findings show that by activating the recognition of sight word and associating phoneme (sounds) and grapheme (letters), learners tend to be more easily figure out the words and understand the text. By having sight words vocabularies through orthographic mapping, the process of understanding reading text becomes easier. Learners know the words more quickly since sight word recognition improves reading fluency and efficiency. In its process, as learners see the word, they automatically activate the recognition of its meaning and pronunciation at the same time.
Structural Features of News Text in Internet Discourse

The article is devoted to the description of peculiarities of the structure of news text (media-text) in Internet discourse, which from the structural point of view is a complex communicative unity of text, hypertext, dynamic (static) image and sound, providing non-linear, multi-channel, multi-layered and multi-dimensional perception of the conceptual meaning of the text. A distinctive structural feature of a media text, the main function of which in today’s media space is to manipulate and shape the recipient’s opinion, is its shaping in accordance with the model of an advertising text, based on the key strategies of an advertising message construction. The purpose of this article is to analyze the structural characteristics of news text (media-text) as the main form of information and psychological impact realization. The authors conclude that a modern news text resorts to the use of rhetorical and organizational techniques to influence the target audience, using appropriate advertising techniques. Creating it, the addresser is guided by different linguopragmatic principles. A model of a media-text similar to an advertising text seems to be justified as it is a part of a unified consumer society, where advertising and online discourse have defined the main patterns of interaction between the addresser and the addressee.
The Effectiveness of Audiobook in Teaching Reading Comprehension to Ninth Grade Students of MTs Pesantren Al Amin Mojokerto in Academic Year 2021 / 2022

The objective of the research is to measure the effectiveness of Audiobook in teaching reading comprehension to ninth grade students of MTs Pesantren Al Amin Mojokerto in academic year 2021 / 2022. The researcher conducted a quantitative research through pre-experimental design with One-Group Pretest-Posttest design. For the instrument research, researcher used pretest and posttest to collect the data. The researcher took one class of ninth grade students that contain of thirty-two students. The researcher took five meeting for this research. First meeting was giving the pretest, second until forth meeting were giving the treatment, and fifth meeting was giving posttest. In this research, the researcher used t-test sample for analyzing the data. The result show that there is different mean score between pretest and posttest. The mean score of pretest is 65,94 and the mean score of posttest is 79,97. For the t-test result, it gained higher than t-table. The t-test result is 6,71 while the result of t-table for df=31 is 1,695 in significance 5% (0,05). It proved that the result is significant. From the result, it can be concluded that teaching reading comprehension for narrative text by using Audiobook is successfully implemented for ninth grade students of MTs Pesantren Al Amin Mojokerto in academic year 2021/2022.
Student’s Attitude An Anxiety on Listening Class (A Descriptive Quantitative Study of Second Semester English Education Students’ of Uin Fatmawati Sukarno Bengkulu)

This study aims to determine the form of attitudes and anxiety, and level of anxiety that experienced by students in the listening class on students’ of English Study Program at UIN Fatmawati Sukarno Bengkulu. This study uses a descriptive method with a quantitative approach of survey type. The sample in this study was the second semester students’ of English education with a total of 47 students’. The research data was taken using a questionnaire with a total of 28 items related to attitudes and anxiety. The attitude questionnaire was divided into 2 categories, positive and negative. The result of data analysis in positive statements, the average score is 3.61 (72.1%). Likewise with negative statements, the average score is 3.48 (70%). For students’ anxiety levels, based on the results of data analysis, 29 students (62%) categorized into "relaxed" and 13 students’ (28%) are "very relaxed", and only 5 students (11%) belong to the moderate level of anxiety with the predicate "Midly Anxious". Based on these results, it can be concluded that the attitude students on the listening class is positive and students level of anxiety are tend to be low and the type of students anxiety are debilitative or positive.