Reviewerly/exHarmony huggingface dataset:
Analysis of the Impact of Vectorization Methods on Machine Learning-Based Sentiment Analysis of Tweets Regarding Readiness for Offline Learning

Twitter users use social media to express emotions about something, whether it is criticism or praise. Analyzing the opinions or sentiments in the tweets that Twitter users send can identify their emotions for a particular topic. This study aims to determine the impact of vectorization methods on public sentiment analysis regarding the readiness for offline learning in Indonesia during the Covid-19 pandemic. The authors labeled sentiment using two different approaches: manually and automatically using the NLP TextBlob library. We compared the vectorization method used by employing count vectorization, TF-IDF, and a combination of both. The feature vectors were then classified using three classification methods: naïve Bayes, logistic regression, and k-nearest neighbor, for both manual and automatic labeling. To assess the performance of sentiment analysis models, we used accuracy, precision, recall, and F1-score for performance metrics. The best results showed that the Logistic regression classifier with the feature extraction technique that combines count vectorization and TF-IDF provided the best performance for both data with manual and automatic labeling.
Sentiment Analysis of Student Comment on the College Performance Evaluation Questionnaire Using Naïve Bayes and IndoBERT

The development of the Internet has played a significant role in various aspects of life and has generated vast amounts of data, including student comments about universities. The challenge in analyzing comment data is the large number of students providing feedback, which makes manual analysis impractical. The purpose of this study is to analyze the performance evaluation of universities by students in terms of positive and negative sentiments, with the aim of assessing the level of student satisfaction with all elements and areas of university operations. This research utilized the Naïve Bayes algorithm and the IndoBERT model to build a classification model based on questionnaire data, starting from the data collection process, data preprocessing, feature extraction, modeling, and evaluation. The results of the IndoBERT model demonstrated the best performance, with an accuracy of 85%. The IndoBERT model effectively recognizes sentiments in text, distinguishing between positive and negative comments regarding university performance.
PENINGKATAN PENGETAHUAN “DAMPAK NEGATIF GAME ONLINE” MELALUI MEDIA POSTER PADA SISWA SMPN 79 JAKARTA

This research aims to analyze the increasing knowledge about the "negative impact of online games" after the education using posters on the students of 79 SMPN Jakarta. This type of research is an experimental research method using the One-group Pretest-Posttest Design with a quantitative approach that uses a questionnaire as instruments. The population in this study is 252 students of Grade 7 SMPN 79 Jakarta who play online games or not. T-test showed sig (2-tailed) with a result of 0,000 &lt;0.05 then H0 was rejected and H1 was accepted. It could be concluded that there were differences before and after being given education by using poster media. The pre-test results were 57.50 while the post-test were 77.58. Thus, there is an increase in knowledge about the negative impact of online games by 20.08 on students. Therefore, it can be said that poster media is able to increase the knowledge of students of SMPN 79 Jakarta on the negative impacts of online games.
Peningkatan Prestasi dan Kreativitas Peserta Didik Dalam Pakat dan BP Melalui Media Digital Model Discovery Learning Pada Kelas VIII SMP Negeri 13 Madiun

In this research on Catholic Religious Education and Character, selecting and presenting appropriate media will help students capture and understand the material presented. In the end, you can achieve effective and efficient learning outcomes and achieve learning goals.&#x0D; This research is based on problems: (1)Is the use of Digital media through ModelsDiscovery Learning can it improve the learning achievement of class VIII Catholic students at SMPN 13 Madiun?; (2) What is the use of Digital media through ModelsDiscovery Learning can it increase the creativity of Catholic students in class VIII SMPN 13 Madiun?; (3) What is the use of Digital media through ModelsDiscovery Learning can support students' interest in participating in learning activities in the subjects of Catholic Religious Education and Character in class VIII SMPN 13 Madiun?. Meanwhile, the objectives of this research are: (1) Improving student learning achievement with digital media through modelsDiscovery Learning, for class VIII Catholic students at SMP Negeri 13 Madiun; (2) Increasing students' creativity with digital media through modelsDiscovery Learning, for Class VIII Catholic students at SMP Negeri 13 Madiun. (3) Increasing students' interest in Catholic Religious Education and Character Education subjects with Digital media through ModelsDiscovery Learning, for class VIII Catholic students at SMP Negeri 13 Madiun.&#x0D; This research used two rounds of action research. Each round consists of four stages, namely: design, activities and observations, reflection, and revision. The research targets were class VIII students at SMP Negeri 13 Madiun. The data obtained is in the form of formative test results, observation sheets of learning activities.&#x0D; Based on the results of the analysis, it is proven that (1) Application of digital learning media modelsDiscovery Learning in the subjects of Catholic Religious Education and Character Education provide quality benefits for increasing students' achievement and creativity, which is shown in students' answers which state that students enjoy learning by using digital learning media which attracts interest and motivates them to improve their learning to be better. understand and deepen the subject matter. (2) During the learning process using digital learning media modelsDiscovery Learning in the subjects of Catholic Religious Education and Character Education have a positive impact on increasing student learning achievement and students' creativity as evidenced by an increase in students' learning completeness in each cycle, namely cycle I (76.14) and continued in cycle II (80 .57).
The Persistent Identifier ecosystem expands &amp;#8211; to instruments!

A &lt;strong&gt; PID &lt;/strong&gt; or persistent identifier has been in common use in scientific publishing for around 20 years now. It was introduced as a &lt;strong&gt; DOI &lt;/strong&gt; (Digital Object Identifier), and the digital object in this case was the journal article. From 2000 onwards, DOIs started appearing for most journal articles, journals having obtained them from a registration agency, CrossRef.
10 Humour and creativity in a family of strangers on Facebook

This chapter will examine the creative and multimodal aspects of collaborative humour in a local community Facebook group, whose aim is to provide members of an inner suburb of an Australian city with the opportunity to request and offer help with recommendations for local services, house-, pet-, or babysitting, and/or to exchange free goods. The analysis focuses on the way in which multimodal “everyday creativity” (Carter 2015) and humour mechanisms (Norrick 2003) are employed in online interactions to foster a sense of belonging in this group of strangers. Particular aspects of linguistic play and discursive strategies will be examined in a selection of posts. These include puns, word play, joint fictionalisation, lexically creative terms of address for the group, and frequent references to certain recurring themes in the group, such as a popular local plumber and a particular group member who often requests a lift to/from the airport. The examples chosen - many of which are accompanied by emojis, images or memes - all illustrate how the jointly constructed humour is used to contribute to a sense of affiliation and belonging in this group of strangers.
Peningkatan Hasil Belajar Pak Materi Terlibat Dalam Hidup Menggereja Dengan Metode Problem Based Learning Kelas V SDN Banyuagung 1 Kota Surakarta

Teachers usually apply lecture and teacher-centred methods during the learning process, making students less able to understand Catholic religious material and tend to get bored. The aim of the research is to determine the increase in mutual cooperation aspects, determine the success of achieving targets, determine the increase in learning outcomes using the Involved Material Problem Based Learning Method. In the Life of Churching among fifth grade students at SD Negeri Banyuagung 1 Surakarta. The research method used is Classroom Action Research with four stages, namely planning, implementation, evaluation and reflection with two cycles in the offline learning process. Research Subjects were students of SD Negeri Banyuagung 1 Surakarta class V Semester 1 of the 2023/2024 academic year with a total of 6 people in the period 27 October 2023 to 3 November 2023. The material was Involved in Church Life. Cycles 1 and 2 each have 3 lesson hours. The results of the research show that mutual cooperation activities in each indicator have increased, as seen from the average percentage of 76.88% in cycle 1, increasing to 88.21% in cycle 2. This means that mutual cooperation activities have increased by 11.33%. The learning outcomes show progress after implementing the problem based learning model. It can be seen that in the advanced category the percentage obtained was 17% in cycle 1, increasing to 83% in cycle 2, meaning that in the advanced category there was an increase of 66%. In the proficient category there was a decrease of 16%, from 33% in cycle 1 to 17% in cycle 2. In the decent category there was also a decrease of 50%, from 50% in cycle 1 to 0% in cycle 2. And in the new category it developed there was no change, namely 0% in both cycle 1 and cycle 2. In this case, teachers should use the Problem Based Learning Method as an alternative learning method because it has been proven that this Problem Based Learning Method can improve aspects of student learning outcomes.
8 Emojis and jocular flattery in Chinese instant messaging interactions

While emojis are traditionally understood to be a means of expressing emotion and politeness in text-based forms of digitally-mediated communication, recent work has demonstrated that emojis play an important role in the interactional accomplishment of conversational humour as well. In this chapter, we focus on the role of emojis in the joint accomplishment of jocular flattery in multi-party instant messaging interactions in (Mandarin) Chinese. In the course of this study, we draw particular attention to how emojis are involved in different stages of performing jocular flattery, and how they are employed by participants in these sequences to accomplish particular footings with respect to instances of it. We conclude by considering the implications of our study for understanding the roles played by emojis in co-constructing conversational humour more broadly.
Solve single photon detector problems

Single photon detector(SPD) problems arise in most quantum tasks, especially for measuring states going through high-lost channels. They are particularly prominent in quantum key distribution(QKD), which could be the most significant application in quantum information theory. In recent years, QKD distance has been improved dramatically but is still restricted because the bit error rate(QBER) caused by SPD dark counts will be out of control as the distance increases. If this problem can be solved, QKD can be implemented over arbitrarily long distances. However, previous solutions often result in impractical requirements such as superconductors while they can only reduce the dark count rate to finite low levels. In this paper, we solve SPD problems with today&amp;apos;s technologies only. Although it is the no-cloning theorem that prevents a state from being measured multiple times to obtain a more reliable result, we propose a scheme circumventing the no-cloning theorem in certain tasks to allow a single state to be employed several times. The scheme demonstrates that imperfect detectors can provide nearly perfect results, namely, the QBER caused by dark counts can be reduced to arbitrarily low while in the meantime, detective efficiency can be improved to arbitrarily high. Consequently, QKD distance is not limited by the imperfect SPD anymore and can be improved from hundreds of kilometers to thousands without high-technology detectors. Furthermore, similar schemes can be applied for reducing measurement errors or improving the performance of sources. Finally, it is worth noting that although the paper is mainly discussed in the context of QKD, our scheme is an independent scheme that could be employed in other protocols wherever SPD are employed.
Dark2Light: Multi-Stage Progressive Learning Model for Low-Light Image Enhancement

Due to severe noise and extremely low illuminance, restoring from low-light images to normal-light images remains challenging. Unpredictable noise can tangle the weak signals, making it difficult for models to learn signals from low-light images, while simply restoring the illumination can lead to noise amplification. To address this dilemma, we propose a multi-stage model that can progressively restore normal-light images from low-light images, namely Dark2Light. Within each stage, We divide the low-light image enhancement (LLIE) into two main problems: (1) illumination enhancement and (2) noise removal. Firstly, we convert the image space from sRGB to linear RGB to ensure that illumination enhancement is approximately linear, and design a contextual transformer block to conduct illumination enhancement in a coarse-to-fine manner. Secondly, a U-Net shaped denoising block is adopted for noise removal. Lastly, we design a dual-supervised attention block to facilitate progressive restoration and feature transfer. Extensive experimental results demonstrate that the proposed Dark2Light outperforms the state-of-the-art LLIE methods both quantitatively and qualitatively.
Development of Media Activity Books to Overcoming Reading Difficulties in Children With Special Needs

This researchers use Activity Book media as a learning medium that can be used to improve reading skills in ABK (Children with Special Needs) students. This research was conducted with the aim of developing Activity Book media for ABK students (Children with Special Needs) who have reading difficulties or are called dyslexics using the Borg and Gall research design which consists of 10 steps which are then simplified into 7 steps namely (1) research and data collection, (2) planning, (3) product development, (4) initial field trials, (5) learning media revision, (6) main product testing, (7) final product. This research was conducted on a grade 4 student who had difficulty reading. This research uses Research and Development approach. The research instrument used media expert validation sheets, material expert validation sheets and principal responses. The results of the media expert validation test get a score of 99 and are in the range of scores X&gt; 96.54 with the category "very good" and the results of the validation of material experts get a score of 38 which is in the range of scores x&gt; 33.54 with the category "very good" good” while the results of the principal's response obtained a score of 70 and were in the range of scores X&gt; 63 in the "very good" category. It can be concluded that the Activity Book media is valid and effective as a tool that makes it easier for students to overcome reading difficulties.
Development Of Digital-Based Classroom Learning E-Learning Web Interface Study Bumigora University Project Case

Bumigora University has been trusted as a campus that can develop interactive learning models based on free open source software for all teaching and learning activities related to computers at Bumigora University. One of the obstacles that arises is doing full-day learning (8 hours) there is limited time and the material load is quite dense so a breakthrough learning model is needed that gives rise to acceleration and ease of transferring knowledge from learning sources (lecturers, textbooks, and other learning resources) to student. Therefore, Bumigora University designed an application in the form of a website where in this application admins and teachers can carry out management processes on student data and can convey information and materials or assignments to students. Students can see information about teaching and learning activities and can see subjects, materials, and grades. You can also download materials. From the results of testing using the Black Box Testing method that has been carried out, it can be concluded that the Bumigora University E-Learning System has fulfilled the research objectives to be used properly, as evidenced by the functioning of the functions in the application properly.
National digital pathology projects in Switzerland: A 2023 update

Abstract The Swiss Digital Pathology Consortium (SDiPath) was founded in 2018 as a working group of the Swiss Society for Pathology with the aim of networking, training, and promoting digital pathology (DP) at a national level. Since then, two national surveys have been carried out on the level of knowledge, dissemination, use, and needs in DP, which have resulted in clear fields of action. In addition to organizing symposia and workshops, national guidelines were drawn up and an initiative for a national DP platform actively codesigned. With the growing use of digital image processing and artificial intelligence tools, continuous monitoring, evaluation, and exchange of experiences will be pursued, along with best practices.
Realization of a quantum neural network using repeat-until-success circuits in a superconducting quantum processor

Abstract Artificial neural networks are becoming an integral part of digital solutions to complex problems. However, employing neural networks on quantum processors faces challenges related to the implementation of non-linear functions using quantum circuits. In this paper, we use repeat-until-success circuits enabled by real-time control-flow feedback to realize quantum neurons with non-linear activation functions. These neurons constitute elementary building blocks that can be arranged in a variety of layouts to carry out deep learning tasks quantum coherently. As an example, we construct a minimal feedforward quantum neural network capable of learning all 2-to-1-bit Boolean functions by optimization of network activation parameters within the supervised-learning paradigm. This model is shown to perform non-linear classification and effectively learns from multiple copies of a single training state consisting of the maximal superposition of all inputs.
Pragmatic linguistic analysis of the videos by terrorists of the Barcelona and Cambrils attacks

Three homemade audiovisual recordings filmed a few days before the 2017 terrorist attacks to Barcelona and Cambrils by some individuals involved in these events were weighed as evidence during the trial held at the Audiencia Nacional between November, 10 2020, and May, 27 2021. No expert in linguistics analyzed this evidence in the proceedings. In Spain, the literature on jihadist terrorism has focused on the process of radicalization (Vicente, 2018), including the use of digital media for this purpose (Torralba, 2019) and the importance of counter-narratives to battle it. However, few studies have analyzed terrorist productions from a linguistic perspective. This study examines the recordings screened in the trial for the 2017 attacks through the lens of the comprehensive model for pragmatic and discourse analysis put forward by Fuentes Rodríguez (2000, 2009). Results show how various linguistic devices perform multiple functions at the super-, macro- and microstructural levels, allowing the participants to address various audiences and fulfill three communicative goals. Participants claim membership of a jihadist community and convey a message aimed, on the one hand, to intimidate the viewers they discursively construct as their opponents and, on the other, to obtain recognition from those that share their ideological stance. The discursive singularities of these recordings and their commonalities with productions linked to other forms of terrorism are discussed against the literature.
Developing Students' Beginning Reading Textbooks With Inductive Model In Madrasah Ibtidaiyah

The Research and Development (R&amp;D) aims to 1) produce a practical beginning reading textbook with an inductive model that is easy-to-use and improves their reading skills pleasurably, 2) to develop a beginning reading textbook with an inductive model that is easy-to-use and to improve their reading skills pleasurably and 3) to determine effectiveness, validity, and practicality of the inductive model beginning reading textbook. MI NWDI 5 Pancor Rakam, Lombok Timur, was selected for study intention. The ADDIE model development comprises five phases: analysis, design, development, implementation, and evaluation. Data collection was applied for interviews, observations, questionnaires for material experts, questionnaires for linguists, questionnaires for media/design experts, teacher response questionnaires, and test-sheet-form. Trials in terms of product are carried out with limited-size trials and large-size trials. The Research and Development (R&amp;D) retrieves a practical beginning reading textbook with an easy-to-use inductive model that improves their reading skills pleasurably. In addition, the material, language, and media/design were highly feasible for use in feasibility tests and teacher response assessments. Furthermore, such measures were concluded to be effective in use.
Implementation of Pull Out Learning to Grow Interest in Learning to Read In Dyslexic Children in Class IV Students of SDN 1 Wanasaba

Research aims to see how the pull out strategy influences to students' interest in learning to read dyslexia class IV SD Negeri 1 Wanasaba Year Teachings 2023. The type of research used is Quantitative research with Single Subject Research (SSR) design . In this research, researchers used samples 1 student namely students dyslexia . The data collection technique used by researchers is an observation instrument to see students in the learning process, tests to determine students' initial abilities, student questionnaire to determine students' interest in learning, And documentation in the form of photos. As well as technique analysis data Which used in this research namely testing the hypothesis using the t test with level significant 0.05. Results data observation show (30%) categorized as low. So can concluded bah student dyslexia on learning process before implementing the Pull Out interest learning model learn to read it Still low. Results study Also show bah strategy pull out learning included in the very well implemented category dyslexic students which can be seen from the results respondents (96%) who has an influence on dyslexic students' interest in learning and helps Teacher Also in give strategy Study for student Which own or need strategy special in the class. As for data mark pretest of 25 and the posttest value data is 85 . So, we can see the results from the t-count hypothesis test ≥ t-table (5.34522 ≥ 4.30265) then Ho is rejected and Ha accepted.