Reviewerly/exHarmony huggingface dataset:
Byte-Sized Evolution: Navigating the Linguistic and Cultural Dynamics of Social Media

In the ethereal realm of social media, where the digital and the tangible collide, a linguistic and cultural metamorphosis unfolds, redefining the essence of human communication and societal dynamics. This abstract encapsulates the intricate ballet between language and culture in the vast expanse of online platforms, exploring the transformative power, paradoxes and challenges embedded in this digital world. At the linguistic crossroads, social media acts as both provocateur and preservationist. The brevity demanded by character limits births a new lexicon, where abbreviations and emojis transcend the informal to entwine with the formal. Linguistic evolution becomes a pulsating force, challenging traditional norms while offering a canvas for conciseness in an interconnected world. The influencer phenomenon adds an avant-garde layer, as online personas shape linguistic trends, creating digital subcultures that infiltrate mainstream discourse.Cultural narratives unfold through the alchemy of hashtags, becoming tools of expression and catalysts for societal change. The paradox of globalization surfaces, with social media as both a bridge and a potential bulldozer of linguistic diversity. The dominance of English and Western cultural influence raises concerns, but online communities emerge as bastions for the preservation and revitalization of endangered languages. Yet, the digital landscape is not without its pitfalls. Misinformation, like a shadow, looms large, challenging the integrity of language and the trust in societal narratives. The influencer’s power becomes a double-edged sword, fostering digital subcultures while also igniting ethical debates on cultural commodification and misinformation spread. As societal fault lines are exposed, the echo chamber effect emerges, testing social media’s potential to either unite disparate cultures or deepen existing divides. The journey through this digital linguistic and cultural landscape demands a nuanced approach—embracing innovation while safeguarding against oversimplification, misinformation and cultural appropriation.
Texture Feature Extraction Using Tamura Descriptors and Scale-Invariant Feature Transform

The ability to recognize and distinguish between various textures in an image is made possible by feature extraction, which is a fundamental step in computer vision and image processing. Traditional methods of texture analysis fall short of capturing the perceptual characteristics that give texture its meaning and identity. Because Tamura texture attributes were developed through research into the spatial and frequency components of textures, they offer a more precise and discriminating representation of textures. Tamura features capture significant visual qualities that are crucial for comprehending and interpreting texture. Tamura descriptors enable to characterization and comparison of various textures, enabling tasks like texture classification, segmentation, and retrieval. SIFT processes Tamura descriptors to extract scale-invariant features, enhancing the texture representation's capacity for discrimination. The suggested method was evaluated on numerous benchmark datasets, and the findings revealed that it outperforms conventional texture analysis methods in terms of precision, recall, and other performance measures. The qualitative evaluation further verified the interpretability and perceptual significance of the retrieved texture elements, proving their appropriateness for texture analysis tasks. The evaluation's findings show how well the suggested technique extracts texture features and how it might boost the effectiveness of numerous computer vision and image processing applications.
Spatial Audio in Virtual Reality: A systematic review

Spatial Audio represents sound across a full sphere around the listener’s position and is being widely implemented in Virtual Reality and games. However there’s not an extensive body of work in the full benefits of immersive audio in virtual reality, as well as it’s applications through these systems in the literature. This work aims, through a systematic review on the theme, to point how and where can spatial audio be of immense value to virtual reality applications, opening up a world to develop future works in mixing spatial audio content for virtual reality.
Virtual reality authoring tools acceptance and use: An exploratory study with the UTAUT2 model

Virtual reality holds significant potential for optimizing production processes, reducing costs, and contributing to the achievement of sustainable development goals outlined by the United Nations. As such, this study aims to understand the technological acceptance and use of virtual reality authoring tools. The study followed the Design Science Research paradigm, in which four virtual reality authoring tools, namely NVIDIA Omniverse Create, Spatial, SimLab Composer and SimLab VR Viewer, were filtered based on criteria established in literature, then participants experimented the non-immersive SimLab Composer and the immersive SimLab VR Viewer in Quest 2 headsets, with their perceptions on acceptance and use collected with the UTAUT2 model. Through the experiment, the immersive authoring tool were perceived as easy to acquire and develop skills with, competitively priced, and capable of providing a fun user experience. However, difficulty arise when establishing a correlation between real-world physical movements and the expected actions within the immersive environment. This discrepancy may have contributed to the participants below than positive assessment of the knowledge required to effectively utilize the tools. Nonetheless, they expressed their intention to use the VR authoring tools in the future, although without a commitment to regular usage. This study serves as a valuable indicator and provides a foundation for future investigations for evaluating authoring tools in virtual reality.
Code Switching and Code Mixing in Learning Activities by a Teacher at a Primary School

Penelitian ini bertujuan untuk (1) menggambarkan wujud alih kode guru dalam kegiatan pembelajaran di SD Negeri 071036 Turumbaho, (2) menggambarkan wujud campur kode guru dalam kegiatan pembelajaran di SD Negeri 071036 Turumbaho, dan (3) menggambarkan faktor-faktor yang mempengaruhi adanya alih kode dan campur kode guru dalam kegiatan pembelajaran di SD Negeri 071036 Turumbaho. Metode penelitian yaitu deskriptif kualitatif. Subjek penelitian adalah guru SD Negeri 071036 Turumbaho, objek penelitian yakni bahasa atau tuturan guru dalam kegiatan pembelajaran. Desain penelitian yaitu analisis isi ( content analysis ). Instrumen penelitian yakni dokumen dalam bentuk bahasa atau tuturan guru. Waktu penelitian selama tiga bulan yakni bulan Februari sampai dengan April 2023. Hasil penelitian, peneliti menemukan wujud alih kode guru di kelas 1, 2 dan 3 SD Negeri 071036 Turumbaho adalah alih kode intern bahasa Indonesia ke bahasa daerah Nias berupa frasa sebanyak dua (2) data dengan persentase 20,00% dan kalimat sebanyak delapan (8) data dengan persentase 80,00%. Sementara wujud campur kode yakni campur kode intern bahasa Indonesia ke bahasa daerah Nias berupa penyisipan kata sebanyak tiga (3) data dengan persentase 23,08%, frasa sebanyak tujuh (7) data dengan persentase 53,85%, klausa sebanyak satu (1) data dengan persentase 7,69%, dan kalimat sebanyak dua (2) data dengan persentase 15,38%. This study aims to (1) describe the form of teacher code switching in learning activities at SD, (2) describe the form of teacher code mixing in learning activities at SD, and (3) describe the factors that influence the transfer teacher's code and code mixing in learning activities at SD. The research method is descriptive qualitative. The research subjects were teachers at SD, the object of research was the teacher's language or speech in learning activities. The research design is content analysis. The research instrument is a document in the form of teacher language or utterances. The research time is three months, from February to April 2023. The results of the study, the researchers found that the form of teacher code switching in grades 1, 2 and 3 of SD was internal code switching from Indonesian to Nias regional languages in the form of two (2) data phrases with a percentage of 20.00% and eight sentences (8 ) data with a percentage of 80.00%. Meanwhile, the form of code mixing, namely mixing the internal code of Indonesian into the Nias regional language, is in the form of inserting three (3) words with a percentage of 23.08%, seven (7) phrases with a percentage of 53.85%, one (1) clause data with a percentage of 7.69%, and sentences of two (2) data with a percentage of 15.38%.
Register in User Experience Articles from Nielsen Norman Group (Nngroup.Com)

&lt;p&gt;&lt;em&gt;Depending on the setting, language can vary according to the register. Convention, which people are partly required to follow, establishes it. For instance, the vocabulary used to discuss something with coworkers or professionals will differ from that used with family members. Abbreviations are used to communicate precisely in different contexts. This study aims to describe the types of registers used in the user experience (UX) filed by Nielsen Norman Group. The data is qualitatively analyzed. Each term found in the sample that can be considered a register will be grouped into kinds of word formation, dimensions of register, and functions of register. The results show that there are 11 compound words and two abbreviations. According to Pateda’s classification of the functions of the register, it can be said that seven of eight articles apply the oratorical (frozen) function, as these articles tell the audience how to do something in the right way. This study proved that the User Experience field also has its own register. Some words and phrases tend to be used among User Experience practitioners only.&lt;/em&gt;&lt;/p&gt;
Code Switching In English Teaching Learning Process At Year Tenth Of State Islamic Senior High School 3 Jember

This study aims to explain the way of native teacher and non-native teachers do code switch during classroom interaction, to describe the types of code-switching, to explain the factors that cause the occurrence of code-switching, and to explain the functions of code-switching in English teaching learning process used by native teacher and non-native teacher. This study uses descriptive qualitative since this study is to analyze and find the social phenomena which are running naturally based on Hoffman theory to describe code-switching in English teaching learning process. There are three types of code-switching: inter-sentential, intra-sentential, and emblematic-switching. The result shows that all of the three types found in this study used by native teacher and non-native teacher. Furthermore, the most type used by native teacher and non-native teacher is intra-sentential code-switching. Besides, the most dominant factors that cause the occurrence of code-switching is talking about particular topic since to help the learners understand the meaning of the topic. Moreover, the most significant functions of code-switching to teachers is affective function since the teacher wanted to build intimate relations with the students and the most dominant function to students is conflict-control since the students used code-switching to avoid misunderstanding of teachers’ explanation.
Speech to multi-language text conversion

Right from the beginning of previous century, researchers have shown interest in areas like Automatic Speech Recognition, Image Processing and Natural Language Processing. The area of Automatic Speech Recognition (ASR) has received attention over the past five decades due to its application in both commercial and military. In the recent times this can be attributed to the advancements in Artificial Intelligence and Advanced Algorithms. ASR takes speech as input and converts it in to text. ASR is employed in electronic dictionaries, Customer Call Centers, Voice Dictation and Query based Information Systems, Speech Transcription, Avionics, Smart Houses and Access Systems and many more areas. ASR can also be used to interact with handicapped people. ASR enables human beings interact with computers using speech rather than using keyboards &amp; mouse (Vimalaand Radha V., 2012). ASR aims to provide natural machine interface where in speech acts input to the machine. Generally, ASR is based on two tasks viz. Identification of Phoneme and Whole-Word Decoding. A relationship between speech signal and speech segment that has dissimilar physical or perceptual features usually termed as phones is established in two steps. The first step deals with dimensionality reduction and second step deals with the estimation of likelihood of each phoneme. In the dimensionality reduction phase, the volume of the speech signal is decreased by extracting the relevant information using task-specific knowledge. In the next phase, the system recognizes the word sequence using a discriminative program. Traditionally ASR systems preferred the Mel frequency Cepstral coefficients (MFCC) for the first phase and Discriminative techniques for the second phase. Over the years ASR systems have evolved from being an integration of multiple trained components to “end-to-end” Deep neural architectures that link speech to text directly. The proposed work implements an MLP with AdaBoost Classifier. The MLP will be used to extract discriminative features from the speech data. Later AdaBoost classifier will map these features to the relevant set of words.
Understanding Technological Trends in Education: How Artificial Intelligence Helps Learning in Colleges In Susta

Background. Understanding technological trends is how popular technology is used to assist learning, Artificial Intelligence is created and programmed and designed by humans to assist activities in completing human tasks. Purpose to understand technological trends in education how Artificial Intelligence helps learning in higher education in a sustainable manner, where in the last year 2020 there was Covid 19 which had spread throughout the world so there were online classes, but over the years the problem has ended, that's what caused it technology trend of Artificial intelligence in assisting learning. Method. using the method of conducting interviews from sources directly, conducting interviews with this research with the aim of getting the correct data. Results. shows that understanding the trend of Artificial Intelligence technology in helping learning in higher education in a sustainable manner is very helpful and its use has increased in recent years due to the impact of covid 19 so that it has greatly affected online learning. Conclusion it was concluded that the results of the interviews showed the use of Artificial Intelligence in assisting learning through individuals in using technology in completing learning tasks and assisting when the learning process takes place in the classroom is very helpful, technology as a medium used in learning, students still use the same technology cannot be said in sustainable
Controlling and Modelling a Grid Connected Photovoltaic System for Performance Investigation Purpose

The world restriction of fossil power sources reserves and its side effect on the environmental pollution have impelled strongly using the photovoltaic technology as alternative renewable energy sources. The essential problem is the difficulty of importing and installing solar panels without having a fully knowledge about its effectiveness in the climatic conditions of the university site. Hence, the motivation of this study is to investigate the operational efficiency of the PV system in the Iraqi environmental conditions by modelling, controlling, and simulating the system using MATLAB/Simulink program. The proposed model has been driven based on the principle mathematical equations that depict the behaviour of the PV solar system. The proposed model is designed to affect with the sunlight irradiance, ambient temperature, AC loss, DC loss, the temperature of the panels’ surfaces, and the efficiency of the used inverter. Preliminary results showed a strong correlation between sunlight irradiance and ambient temperature with the power generated by solar panels. Thus, these two parameters are chosen as the major inputs to the model. While, the electrical output power and the accumulative energy are set as the output of the simulated model. The study investigates the performance of the proposed model at the hottest day and coldest day throughout the year 2022. The results proved that the system generates more energy during the summer than in the winter due to the strength and a long period of the radiation falling on the ground during this season. Moreover, the investigation study evidenced that the system efficiency decreases as ambient temperatures increase. As the results, the cumulative energy during one day decreased by around 41.366% from the summer to winter. Finally, the authors recommend installing the suggested solar cell system in Iraq because its effectiveness was theoretically proved.
PROTOTYPE PEMBERI PAKAN AYAM OTOMATIS BERBASIS INTERNET OF THING’S

Livestock is a livestock breeding activity that aims to produce livestock products and benefits from their activities. Broiler is one of the promising livestock business. This is evidenced by the increasing consumer demand for household and consumer consumption on the scale of restaurants every day, therefore in the livestock management system it is necessary to increase the amount of production in producing quality products. Internet of things (IoT) is the right step for farmers in implementing daily activities, using an automation system so that the crew (the crew of the cage) are not too busy checking the cage. this is what underlies the manufacture of tools that can be controlled virtually with a system for monitoring and controlling chicken feeding with the internet and the help of applications on smartphones. The system for making automatic feeders based on the Internet of Things is in the form of a prototype as a remote control tool and can especially be helped by using components such as an ESP8266 WiFi module or an Arduino Uno microcontroller, DC gearbox motor, servo motor, ultrasonic sensor, this tool is also made aims to reduce the level of loss as in previous studies due to the presence of leftover feed in the automatic feeder, so for the next research to be made, it will be optimized by the absence of feed residue in the automatic feeder container.
The Application of Information Technology Empowering Management in Cybersecurity Construction for Higher Education

Network security in higher education holds significant importance in today's era of informatization. This paper aims to explore how to enhance network security in higher education through empowering management with information technology. Firstly, it introduces the challenges and threats faced by network security in higher education and discusses the concept of empowering management through information technology and its application in higher education network security. The paper then presents three key sections, addressing strategic planning, technology, personnel training, monitoring, and response mechanisms in the construction of network security in higher education. Finally, through the analysis of existing cases, it summarizes the significance of empowering management through information technology in the development of network security in higher education and proposes directions for future research.
Practice of Corpse Management Using Props

Background. Learning in the classroom One of the factors that most determines the success of the learning process in the classroom is the learning method An ideal learning process is when in the learning process the teacher is able to activate students to develop their assumptions in building a perception related to the competencies or material to be learned. There are many kinds of learning methods. Purpose. one of the methods used to improve the skills of female students in taking care of the corpse is using the demonstration method. Method. the practice method is a learning method to train female students with the aim of increasing the ability of female students to apply the knowledge and skills that have been learned. Results. practice method is a learning method to train female students with the aim of increasing the ability of female students to apply the knowledge and skills that have been learned. Conclusion. Meanwhile, according to Roestiyah, the practice method is a way of teaching students through direct practice in the field by involving students actively in activities in the field.
Abstractive and Extractive Approaches for Summarizing Multi-document Travel Reviews

Travel reviews offer insights into users' experiences at places they have visited, including hotels, restaurants, and tourist attractions. Reviews are a type of multidocument, where one place has several reviews from different users. Automatic summarization can help users get the main information in multi-document. Automatic summarization consists of abstractive and extractive approaches. The abstractive approach has the advantage of producing coherent and concise sentences, while the extractive approach has the advantage of producing an informative summary. However, there are weaknesses in the abstractive approach, which results in inaccurate and less information. On the other hand, the extractive approach produces longer sentences compared to the abstractive approach. Based on the characteristics of both approaches, we combine abstractive and extractive methods to produce a more concise and informative summary than can be achieved using either approach alone. To assess the effectiveness of abstractive and extractive, we use ROUGE based on lexical overlaps and BERTScore based on contextual embeddings which it be compared with a partial approach (abstractive only or extractive only). The experimental results demonstrate that the combination of abstractive and extractive approaches, namely BERT-EXT, leads to improved performance. The ROUGE-1 (unigram), ROUGE-2 (bigram), ROUGE-L (longest subsequence), and BERTScore values are 29.48%, 5.76%, 33.59%, and 54.38%, respectively. Combining abstractive and extractive approach yields higher performance than the partial approach.
Pengembangan Knowledge Management System (KMS) Layanan E-Government Menggunakan Metode KMSLC

E-government services have a role in application development, IT governance and E-government development. Employees at the Jambi Province Communication and Informatics Office (DISKOMINFO), especially in the field of E-government services, have a lot of experience and knowledge. However, it is difficult to share with other employees. Due to frequent transfers and the absence of a forum for sharing knowledge, the existing knowledge is not optimally managed. So an E-Government Service KMS is needed for DISKOMINFO in the field of E-government services. The method used is KMSLC and to capture knowledge data using On site observation in the form of interviews and observations. E-government service KMS is implemented and tested using SUS with the results of acceptable indicators and adjective ratings good