Reviewerly/exHarmony huggingface dataset:
The Role of Social Media In Promoting The Safety Of Women in Indian Cities

In every city, harassment and violence becomes one of the major problems for women. Further, women’s personal life is suffered by the bullying and abusive content presented in online social networking (OSN). Therefore, it is necessary to identify the women safety in OSN environment. However, the conventional methods failed to predict the maximum safety analysis. So, this work is focused on women safety prediction using decision tree (WSP-DT) classifier. Initially, twitter dataset is considered to implement the entire system, which is then pre-processed to remove the missing and unknown symbols. Then, natural language toolbox kit (NLTK) applied to perform the tokenization, conversion to lowercase, stop words identification, stemming and lemmatization of tweets. Then, text blob protocol is developed to identify sentiments of pre-processed tweets, which identifies the positive, negative and neutral polarities of tweets. Further, term frequency-inverse document frequency (TFIDF) is applied to extract the data features based on word and character frequency. Finally, decision tree classifier applied to identify the fake or genuine tweet based on multi-level training. The simulations conducted on twitter dataset show that the proposed WSP-DT classifier resulted in superior performance than the other methods.
COMMUNICATIVE FUNCTIONS USED BY TED TALK SPEAKERS TO ATTRACT THEIR AUDIENCES

TED stands for Technology, Entertainment, and Design. It is a global set of conferences that has now broadened its focus to include talks on many scientific, cultural, and academic topics (ted.com). This research aimed to identify the kinds of communicative functions used by speakers in TED Talks and which communicative functions are used the most by the speakers to attract their audiences. There were two basic data involved in this study. The first data were TED Talks audio-visual recordings. There were six videos used in this study. The second data was the transcript of the TED Talks. This research adopted the purposive sampling method. The analysis of the functional communicative profile has shown that some communicative functions are used in the same way by TED Talk speakers. Some other functions are more frequently used than others. The most frequently used were the heuristic communicative function and interactional communicative function. This study is expected to enrich the knowledge of teachers and practitioners whose daily lives are close to public speaking and better understand what makes certain public talks and speeches succeeded to captivate their viewers.&#x0D; &#x0D;
Kalman Filter Method for Handling Missing Values in Soil Moisture Sensor Data

Several imputation techniques have been developed specifically to deal with missing values. This research used data from soil moisture sensors for 34 days where there are missing values. Size of soil moisture sensor data to be quite large. So that with the missing value, it is difficult to determine how well the imputation technique is applied. Therefore, imputation technique is performed on the generated data based on the distribution of soil moisture sensor data so that an evaluation of the utilization of the imputation technique can be carried out on large data containing missing values. The method used in this study is Kalman Filter. Evaluation using the Mean Average Percentage Error (MAPE) after intentionally removed using the Missing Completely at Random (MCAR) technique with a missing rate of 5%, 10%, and 15%. The results showed that soil moisture data has a Box-Cox power exponential distribution. It was found that for generating data, Kalman Filter method has not much different MAPE value for 100 and 1000 data with missing rate was 5%, 10%, and 15%. The results of estimating missing values with the Kalman Filter on the soil moisture sensor data are in line with the soil moisture sensor data
Gambaran Interaksi Obat Pada Pasien Diabetes Mellitus Tipe 2 di Rumah Sakit X

Diabetes mellitus is a chronic condition characterized by higher than normal blood glucose levels and problems with protein, carbohydrate, and lipid metabolism caused by a relative or total lack of the hormone insulin. In addition, as a result of more prescriptions being written, the danger of drug interactions increases due to potential interactions among diabetic inpatients. The purpose of this study was to describe drug interactions in patients with Type 2 Diabetes Mellitus at X Hospital in the period January-March 2023. Data taken retrospectively from medical records were used in this kind of study, and Lexicomp Interact Online was used to evaluate drug interaction data. The results of this study showed that females 46-55 experienced. Most drug interactions in the hospital. Based on lexicomp interact online, drug interactions were categorized into 3 categories, B minor (23.6%), C moderate (62.5%) and D major (13.9%). This study may encourage healthcare workers to increase their awareness to counteract drug interactions in diabetic patients with complications to improve their clinical outcomes.
KALIMAT EFEKTIF DALAM TEKS EKSPLANASI SISWA KELAS XI SMA NEGERI 5 SIJUNJUNG

The purpose of this study was to describe the effectiveness of sentences in explanatory texts for class XI students of SMA Negeri 5 Sijunjung in terms of structural clarity, logical meaning, frugality of words, standardization of words, and spelling accuracy. This type of research is qualitative with descriptive method. The data in this study were sentences in the explanatory text of class XI students of SMA Negeri 5 Sijunjung, with a data source of 26 explanatory texts written by students of class XI SMA Negeri 5 Sijunjung. The data collection technique in this study is fishing technique. The results showed that of the 250 sentences used, only 79 sentences could be categorized as effective, while 171 sentences could not be categorized as effective. First, there are 271 ineffectiveness in terms of structural clarity. Second, the ineffectiveness in terms of logical meaning, there are 80 sentences. Third, the ineffectiveness of sentences in terms of word-saving, namely as many as 141 sentences. Fourth, the ineffectiveness of sentences in terms of word standardity, namely as many as 96 sentences. Fifth, sentence ineffectiveness in terms of spelling accuracy was found in 152 sentences.
Pengembangan Media Pembelajaran Basis Data Berbasis Smartphone Bagi Kelas XI Di SMK Negeri 7 Samarinda

Smartphones have many advantages, one of which is that users can replace or use a variety of unique applications according to their needs, which can be downloaded in app stores or in the Playstore. The applications are as follows games, social networking, music and others. While Smartphones are flying, it is rare for users to use these smartphones for educational or educational activities.
Pengaruh Media Pembelajaran Flashcard Terhadap Kemampuan Menulis Surat Dinas Siswa Kelas VII SMP Muhammadiyah 1 Medan

This study aims to, (1) To describe the ability to write official letters of VII grade students of SMP Muhammadiyah 1 Medan in the academic year 2022/2023 before using flashcards learning media. (2) To describe the ability to write official letters of VII grade students of SMP Muhammadiyah 1 Medan in the academic year 2022/2023 after using flashcard learning media. (3) To describe the impact of using flashcard learning media in improving the ability to write official letters of VII grade students of SMP Muhammadiyah 1 Medan in the academic year 2022/2023. The population in this study were all VII grade students of SMP Muhammadiyah 1 Medan with a research sample of 37 students of VII-T2 grade students of SMP Muhammadiyah 1 Medan. The instruments used in this study are the accuracy of letter content, completeness of letter content, appropriateness of letter format, word accuracy, sentence accuracy, and spelling and writing. The method used in this research was one group pretest-posttest. The data analysis technique used the analysis requirement test, normality test, and hypothesis testing. The results of pretest research obtained an average of 57.75, and fell into the category of less. However, the posttest research results obtained an average of 79.29 and included in the good category. Through hypothesis testing, namely 6.20057 &gt; 2.02809, it can be concluded that there is a significant effect of flashcard learning media on the ability to write official letters of VII grade students of SMP Muhammadiyah 1 Medan.
Analysis of Students' Critical Reading Ability in Science Learning Using the Argument-Based SQ3R Method

The challenges that students will face in the future are complex, so students need a myriad of competencies. To be able to compete and face challenges in the industrial era 4.0, one of which is the ability to process information and communicate. This study aims to analyze the effect of the argument-based SQ3R method in improving students' critical reading skills in science learning. This research is a Quasi-Experimental study with a randomized pretest-posttest control group design. The research sample consisted of 62 class VIII students consisting of two classes. The technique for collecting data on reading interest used a questionnaire sheet instrument and data on the results of students' critical reading ability used essay questions. Based on the results of the research data analysis, it was shown that the argument-based SQ3R learning method had a positive effect on students' critical reading skills, with the results of the t-test showing Asymp. sig. of 0.00 &lt;0.05, with supporting data on students' critical reading skills seen from the student's reading interest questionnaire with the results of the Mann Whitney U-test showing Asymp. Sig of 0.018 &lt;0.05 which means that there is an influence of the argument-based SQ3R learning method on students' critical reading skills.
Shaping the Beat Bin in Computer-Based Grooves

Abstract In musical genres such as neo-soul and hip-hop, beats often have a temporal shape that makes their location in time difficult to locate relative to a single point in time. Often this comes as a consequence of multiple, but slightly asynchronous events marking the beat or digital sound processing obscuring the exact location of beats in pulse-carrying rhythmic layers. The resulting beat shape may produce an internal reference structure of wide ‘beat bins’, with ‘bin’ here understood as the temporal width and shape of the internal beat: sound onsets falling within the bin will be heard as merging into one beat, whereas onsets falling outside of it will be heard as belonging to another metrical unit. This chapter discusses the affordances for synchronization that different beat bin widths provide and also how the beat bin shape may affect the feel of a rhythmic groove.
Efektivitas Pemanfaatan Sumber Pembiayaan Pendidikan Di SMA Ta’miriyah Surabaya

Financing is an important component in providing education. Education costs are the amount of money generated and spent on various educational equipment which includes teacher salaries, facilities and infrastructure, administrative activities, education management activities, procurement of tools and textbooks, extracurricular activities and so on. This study aims to determine the effectiveness of utilizing financing sources in Ta'miriyah High School Surabaya. This study used a descriptive qualitative approach. Data collection techniques are carried out by interviews and observations. Financing is the most crucial thing that must be faced by education providers. In order for educational goals to be achieved, the management of education funds must be carried out properly and appropriately. This research was held at Ta'miriyah High School Surabaya, because researchers wanted to know the sources of education financing in private schools and their utilization. The results showed that the utilization of funding sources for Ta'miriyah High School Surabaya, both from School Operational Assistance funds, Operational Support Costs for Education Implementation, and Education Development Contribution funds were quite effective both in terms of personnel and non-personnel
Science Literacy Ability of High School Students in the Integration of Steam Learning with Mind Mapping Techniques on Virus Materials

STEAM learning provides opportunities for students to apply science as a body of knowledge, a way of investigating, a way of thinking, and the interaction of science, technology and society. This study aims to improve the scientific literacy skills of class X students through the integration of STEAM learning using the mind mapping technique on viruses. This research is a pre-experimental design pre-test and post-test applied to 10th grade students of senior high school using random sampling technique. A total of 75 students from 3 different classes were accepted as participants and treated for pre-test and post-test. The instruments used to collect data were multiple choice test designs and essays based on indicators of scientific literacy ability. This study provides an explanation of the application of STEAM learning with mind mapping techniques to viral material to empower students' scientific literacy abilities. The application of STEAM learning has proven to be effective in empowering students' scientific literacy skills from low to high levels.
Exploring Parents' Attempt to Conduct Home Literacy Practices for Young Learners

In Indonesia, it is quite hard to find a study that raised the topic of home literacy even though the topic is very important to discuss. This research will provide an overview of how parents in Indonesia carry out home literacy practices with their children. Thus, this research aimed to explore the types of home literacy practices by Indonesian parents. The researcher collected the data through an interview via Zoom meeting as a method of this research. The data were transcribed and codified under the theory of Burgees, Hect, and Lonigan (2002). For analyzing the data, the researcher uses a thematic analysis. From the findings, it can be known that the mother played a big role in the sustainability of home literacy. While the father’s role in supporting and teaching the Quran or reciting Surah. There are four roles in conducting home literacy as performed by the parents who had the same level of education and from middle and upper economic background. These are the limiting environment, the literacy interface, the active home literacy environment, and the passive home literacy environment.
Sistem Pendukung Keputusan Pemilihan Pegawai Non-PNS Terbaik Kantor Kepala Desa Menerapkan Metode MOORA dan ROC

Civil Servant (PNS) is a person who is a member of a government institution to provide services to the public and is appointed permanently and gets a position in office while a Non Civil Servant Government Employee (PPNPN) is an employee who is elected by an official in the agency to carry out tasks certain employees in these agencies as well as honorary employees listed in the BKN database who work in government agencies for a maximum of 5 years of service. In this study, the authors are interested in using 2 methods, namely the MOORA method and the ROC method as weighting, where these two methods are very suitable to be combined so as to get the best alternative and calculate all the tricks that really support decision making, in order to simplify the processing steps. So get the best alternative M7 with a value of 0.446 with the name Reza Siagian
Into the Language of Music﻿

Unsettling the World is the first book-length treatment of Edward Said's influential cultural criticism from the perspective of a political theorist. Arguing that the generative power of Said's thought extends well beyond Orientalism, the book explores Said's writings on the experience of exile, the practice of "contrapuntal" criticism, and the illuminating potential of worldly humanism. Said's critical vision, Morefield argues, provides a fresh perspective on debates in political theory about subjectivity, global justice, identity, and the history of political thought. Most importantly, she maintains, Said's approach offers theorists a model of how to bring the insights developed through historical analyses of imperialism and anti-colonialism to bear on critiques of contemporary global crises and the politics of American foreign policy.
Inclusive virtual simulation space: Digital technologies and design thinking process

This article demonstrates a case study in research-creation based on the extended reality (XR) placemaking initiative, and reports on the development of two iterations that are part of a digital technologies (DT) project. Various studies with a focus on restorative and relaxation applications have shown positive findings in improving mental wellness and self-awareness. We speculate that combining physical activity and exposure to digital nature can provide additional health benefits compared to restorative activities alone. The first iteration, Mind Space XR, is a virtual reality (VR) project that has the initial goal of supporting users to experience emotion-focused skills training based on mindfulness, emotion regulation and compassion in a low-risk environment. In this iteration of the DT project, we have focused on interaction design aspects and the research-creation process required to develop the information architecture framework of an early prototype. This ongoing research then informs the development of a second iteration, the ‘inclusive virtual simulation space’ – a VR learning simulation initiative that supports users to experience customizable content in an inclusive environment. Combining Australian Curriculum areas from DT and the humanities and social sciences, this study will experiment with the human–computer interaction process with the goal of configuring a modular high-fidelity virtual environment to achieve perceived ease of use by user groups including creators, educators and students. This will lead to a proof-of-concept platform with the flexibility to integrate digital content that permits the co-creation of digital prototypes driven by inclusive virtual and physical placemaking and simulation learning. This educational inclusive virtual simulation project focuses on experimenting with and introducing education technology and XR skills and knowledge to educators and creators, which is broadly applicable to education-based DT contexts.
Presence, absence, distance and intimacy: How do virtual classical music concerts rate against the wonders of the musical metaverse?

Disruptions to live performance caused by the recent pandemic have fuelled a surge in virtual concerts, impacting both classical and popular music. This article explores ways in which audio-visual media have been used during the pandemic to maintain the live performance of classical music, through comparison with recent examples of virtual creativity in popular music (including performances by virtual artists in virtual spaces, Vocaloid and holographic concerts). Insights into audience experience are revealed: the benefits of engaging with music performance through online platforms include opportunities for social interaction, agency and an enhanced sense of community. Yet this participatory approach challenges the attentive listening mode embedded in the long-held conceptualization of classical music, and the new modes of performance and communication challenge established beliefs about the superiority of live performance over recording. Opportunities for creativity and audience experience and development are found in the notions of distributed creativity, distributed listening and the democratization of culture that are embedded in many of the practices of virtual music concerts. Analysing scholarly literature, music criticism, commentary and selected case studies, the article explores these ideas and opportunities through four episodes entitled to capture prominent themes: presence, absence and distance, intimacy and wonder.
Wildlife Spotting and Sharing System for Kenyan Safari Game Drives

Traditional wildlife spotting on Kenyan Safari Game Drives, rooted in visual scouting and sporadic communication, encounters challenges in animal detection efficiency and environmental preservation. In light of rejuvenating post-pandemic tourism and enhancing safari experiences, this study proposes a wildlife spotting and sharing system. The methodology melds wildlife detection and sharing technologies, anchored by three core principles: preserving chance of encounters, regulating information accessibility, and endorsing environmental conservation. The system architecture employs sensors, GPS, and tablet terminals for real-time data acquisition, animal identification, and information propagation. This approach aims to nurture an engaging, efficient, and eco-conscious wildlife spotting and sharing experience, potentially setting a benchmark for sustainable wildlife tourism in similar wildlife-rich regions.
Examining Privacy and Trust Issues at the Edge of Isomorphic IoT Architectures: Case Liquid AI

The growing domain of liquidity in computing extends its boundaries to include advancements like liquid artificial intelligence (AI). Liquid AI leverages liquid software using isomorphic Internet of Things (IoT) architecture to enhance computation at the edge. This innovation unveils vast opportunities yet also introduces significant challenges, particularly around privacy and trust. We explore the vulnerabilities that might hinder the progression of this technological fusion toward achieving trustworthy AI. Through an intensive examination of the literature, this research highlights the heightened threats to data integrity and stakeholder trust in these evolving ecosystems. Four main challenges: Data collection, Data storage and Access, Data utilization and sharing, and Surveillance and profiling were identified and examined under privacy, and two, Algorithms and decision-making and Security of IoT infrastructure under trust. The concerns are further categorized to highlight their impact on the development of trustworthy AI. The study acknowledges the early state of the field. Consequently, this research navigates through the limited available literature, initiating a pioneering discourse emphasizing fostering a foundation for developing secure and trustworthy Liquid AI environments.
Designing Unknown Input Observers for Fault Reconstruction in Disturbed Takagi-Sugeno Fuzzy Systems

Fault occurrence in practical systems, if not addressed, can cause diminished performance or even system breakdown. Therefore, fault detection has emerged as a crucial challenge in ensuring system safety and reliability. This paper presents a novel fuzzy observer aimed at reconstructing actuator and sensor faults in nonlinear systems, even when subjected to external disturbances. The approach we propose utilizes the Takagi-Sugeno fuzzy model and Lyapunov function. Initially, by filtering the system output, we construct a system where actuator faults correspond to the original actuator and sensor faults. Subsequently, the impact of disturbance on state estimations is minimized by employing the H-infinity performance criteria. We demonstrate that, for non-disturbed systems, these estimations gradually converge to their true values. In designing the observer gains, transformation matrices are derived by solving linear matrix inequalities. Our approach boasts some advantages over existing methods. By assuming that the premise variables are immeasurable, we enhance the usability of our approach. As a proof of concept, we evaluate two practical systems. The simulation results underline the benefits of our proposed method in terms of rapid and accurate fault detection performance.