Reviewerly/exHarmony huggingface dataset:
VIDEOTASVIRLARDAN OLINGAN MA’LUMOTLAR ASOSIDA SHAXS POZASINI TANIB OLISHNING NEYROTARMOQLI MODELI

Nowadays, there are several ways of recognizing and identifying a person, and these keep enhancing day by day. However, cases of falsification of these methods can also be observed. Modern video surveillance systems keep on developing, and satellite systems enable us to photograph everything that happens in a certain area and analyze effectively the data obtained using neural networks. Video images help to monitor motions of people, detect illegal entries into prohibited areas, as well as to identify remaining criminals by means of photos taken from cameras and control exit and/or entry of wanted criminals to foreign countries by acquiring other biometric data. This system serves to catch criminals at airports, railway stations, seaports; it automatically counts numbers of people in a line or in a crowd and analyzes the nature of their movements, which lessens the amount of subjective human intervention and reduces time required for data processing. Moreover, neural network-based pose estimation system is now being used widely in sports, and this can distinguish between athletes and change their behavior based on their personal characteristics.
Meningkatkan Kemampuan Menyunting Teks Karangan Dengan Metode Direct Instruction Kelas IX B SMP Negeri 16 Kupang

The study aimed to investigate the application of the direct instruction method in improving student ability to edit essay texts. Classroom Action Research was employed to get the data at Grade IX B, SMP Negeri 16 Kupang. The subject of this research was 30 students (15 male and 15 female). The research was carried out using two cycles which included the following steps: planning, action, observation, and reflection/analysis. Based on a study, the use of the Direct Learning Method can improve students' ability to find and correct spelling errors, word choice, sentence effectiveness, paragraph integration and discourse coherence. Based on observations in Cycle I and Cycle II, shows that the results obtained in Cycle I reached 40% learning completeness. Meanwhile, the results of Cycle II reached 80% of learning completeness.
Budaya Membaca Mahasiswa Semester Akhir Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Kupang

This research aims to determine the reading culture among students in the final semester of the teaching and education faculty, at Muhammadiyah University of Kupang, and to determine the library's strategy for increasing reading interest among students in the final semester of the teaching and education faculty, Muhammadiyah University of Kupang. This study uses a qualitative method. The subjects in this research were final semester students of the teaching and education faculty, employees, and the head of the library. Collect data using observation, interviews, and documentation. Meanwhile, the data analysis process used is data reduction, data presentation and conclusions. The results of the research show that students' reading culture is improving, as seen from the number of reading sheets read, ranging from 10 to 40 pages per day and due to the need for information and knowledge which is used as a reference in preparing final assignments. Meanwhile, the library's strategy is to increase interest in reading, namely an adequate library, a book collection tailored to student needs and regular funds every year.
A Multiobjective Collaborative Deep Reinforcement Learning Algorithm for Jumping Optimization of Bipedal Robot

Due to the nonlinearity and underactuation of bipedal robots, developing efficient jumping strategies remains challenging. To address this, a multiobjective collaborative deep reinforcement learning algorithm based on the actor‐critic framework is presented. Initially, two deep deterministic policy gradient (DDPG) networks are established for training the jumping motion, each focusing on different objectives and collaboratively learning the optimal jumping policy. Following this, a recovery experience replay mechanism, predicated on dynamic time warping, is integrated into the DDPG to enhance sample utilization efficiency. Concurrently, a timely adjustment unit is incorporated, which works in tandem with the training frequency to improve the convergence accuracy of the algorithm. Additionally, a Markov decision process is designed to manage the complexity and parameter uncertainty in the dynamic model of the bipedal robot. Finally, the proposed method is validated on a PyBullet platform. The results show that the method outperforms baseline methods by improving learning speed and enabling robust jumps with greater height and distance.
EFL Students’ Difficulties on Using Subject-Verb Agreement

The purpose of this study is to determine the common subject-verb agreement difficulties that students encounter in the English Education Study Program at the University of Bengkulu. This study adopted a qualitative methodology. The population was the sixth semester of the 2022/2023 a English Education Study Program. The sample of this study was 33 students consisting of 11 males and 22 females. Data collection was done through validated and reliable tests consisting of 30 items representing 6 subject-verb agreements; full verbs, linking verbs, modals, auxiliary be, auxiliary have, and auxiliary do. Furthermore, this study used simple statistics (percentage and average) to analyze the data. In accordance to the study's findings, the majority of learners have struggles using subject-verb agreements. Found 540 obstacles in the test. The students' own difficulties were difficulties using Full Verbs (18%), Linking Verbs (21.5%), Modals (23%), Auxiliary be (16.5%), Auxiliary have (14%), and Auxiliary do (7%). Modal becomes the dominant difficulty for students. It was possible that students have difficulty understanding patterns in modals and did not know the term modals themselves. Moreover, students also could not identify the subject and verb in the sentence, lacked vocabulary, did not practice often, and did not recheck wrong answers. This result suggests that an appropriate method is still needed to improve understanding with subject-verb agreement.
Accounting disclosure and its impact on the performance of companies and financial institutions in the Republic of Yemen

The purpose of this study is to study the impact of accounting disclosure in terms of legal factors, culture, profitability, and size on the value of the company in Sana’a Governorate in the Republic of Yemen. Therefore, the lack of accounting disclosures in most of these companies led to a decrease in the value of the companies. The theoretical model based on agency theory was used to discover the effect of accounting disclosures on company value. A probability sampling method, which is a random sampling method, was used to collect data. Four hypotheses were tested through 86 questionnaires. Listed companies were included in the community, and all accountants were selected in the sample. This study's analysis was conducted using the partial least squares method. The findings demonstrated that size and culture variables have a positive and significant influence on firm value. Others believe that legal and financial considerations are unimportant. As a result, corporate management may be motivated and encouraged to share information that influences stakeholder decisions favorably and increases company value.
Machine Learning Based a Comparative Analysis for Detecting Tweets of Earthquake Victims Asking for Help in The 2023 Turkey-Syria Earthquake

Two major earthquakes in Kahramanmaraş on February 6, 2023, 9 hours apart, affected many countries, especially Turkey and Syria. It caused the death and injury of thousands of people. Earthquake survivors shared their help on social media after the earthquake. While people under the rubble shared some posts, some were for living materials. There were also posts unrelated to the earthquake. It is essential to analyze social media shares to plan the process management effectively, save time, and reach the victims as soon as possible. For this reason, about 500 tweets about the 2023 Turkey-Syria earthquake were analyzed in this study. The tweets were classified according to their content as user tweets under debris and user tweets requesting life material. Popular machine learning methods such as DT, kNN, LR, MNB, RF, SVM, and XGBoost were compared in detail. Experimental results showed that RF has over 99% classification accuracy.
Analysis of Video Summarization Techniques for Resource Optimization in Multimedia Applications

The digital camera is essential to many modern activities includes event planning, entertainment, and security surveillance administration, news, sports, instruction, advertising, etc. Various types of security cameras (both fixed and movable) are installed in homes, businesses, and public spaces, data-producing institutions including banks, airports, and others take a lot of time and effort to analyze visual data for interesting or helpful information. Particularly for video, due to the temporal characteristics, the modification and management of this massive visual data differ greatly from text or photos. As a result, it can be challenging and time-consuming to identify anomalous, suspicious, or deviant behavior in high-dimensional data. Additionally, it requires a lot of computing power, storage capacity, and human intelligence. Video summarization provides an optimized way to handle these resources. In this chapter various video summarization strategies are reviewed and compared. These techniques are classified into various categories. The topic then turns to the various applications, advantages and disadvantages, and difficulties associated with the current video summarization techniques.
Analysis of Dynamics and Restructuring of PT Pertamina (Persero)

Since its inception, PT Pertamina (Persero) has experienced many organizational dynamics or changes. ranging from changes in name and status, refining the vision, to restructuring the company. Through a qualitative approach by applying the literature review method, it is interesting to analyze, describe, and discuss further the dynamics or changes that occur in PT Pertamina (Persero), namely restructuring in 2018 to 2021 through the formation of a holding company, as well as the implications in relation to company performance. As a result, it appears that the holding-sub-holding framework as a form of restructuring is an appropriate choice taken by the Indonesian government (as a shareholder) in connection with a series of positive results (in the form of profit optimization and operational cost efficiency) that are quite significant. Because of restructuring, the organizational or operational structure of PT Pertamina (Persero), which was originally so fat and large, resulting in a slow decision-making process, has become lean. This has good implications for the company, which has become faster, more agile and concise in the decision-making process. In addition, there is clarity of authority between PT Pertamina (Persero) as a holding company and its sub-holdings.
IMAGE STEGANOGRAPHY USING TWO LAYER SECURITY ALGORITHMS

Steganography is a method used to enhance the security of messages across networks, derived from the Greek words steganos (secret) and graphic (writing). Researchers have explored image steganography, a method that uses a photo as a cover material. The modern energy grid, known as the smart grid, offers flexibility, dependability, and efficiency in power production and distribution. To protect privacy and confidentiality, a greyscale cover picture is subjected to discrete wavelet transformation (DWT), while a chaotic map is applied to the secret image. This method offers more security and can shield communication from stegoimage attacks. Additionally, a novel approach to disguise an image is presented to combat cryptography and steganography algorithms attacks.
Error Analysis of Academic Essays of Senior High School Students

Students commit errors in their writing compositions due to their lack of English language proficiency and knowledge of the writing conventions. This study sought to analyze the errors committed by Senior High School (SHS) students of the University of Mindanao in their academic essays. The study utilized Corder’s error analysis to examine 100 academic essays of students. The results revealed that under the categories of errors, mechanics has the most problematic errors with 514 error counts (46.98%), followed by omission with 228 error counts (20.84%), addition with 190 error counts (17.37%), substitution with 153 error counts (13.99%), and permutation with nine error counts (0.82%), the least problematic category. The results further revealed that the SHS students are experiencing difficulties in applying grammatical and writing rules in their academic writing, such as appropriate usage of prepositions, omission and addition of affixations, proper structure of sentences, and substituting elements of sentences. The findings imply that consciousness-raising approaches to teaching grammar be used by teachers in school to improve the students’ knowledge of the English grammar and writing conventions.
Need Analysis of English Learning Materials for Civil Engineering Department Students

This research analyzes the Civil Engineering department students' needs for English learning materials and the need regarding the language element by students in English learning material in the civil engineering department. Populations in this research were carried out in the Department of Civil Engineering, at the University of Bengkulu. This research used descriptive quantitative research with questionnaire as the tools in collecting data and interview was carried out to find out in-depth and strengthen the questionnaire. To analyze the data, the writer involved two steps in analyzing the data collected; Give questionnaires to civil students using Google Form and then they were given 2 days to fill out and Analyze and explain the results of the list of answers from the questionnaire. The result of this research showed that the civil engineer students want to improve their English speaking skills and listening skills to communicate in their activities in the field of civil engineering where the material provided is easily understood by the students. In addition, the language element they want is more conversational. The English conversations given are more situational conversations and the texts given are more discussion texts. The last, English is important for professional needs because English is needed for everything such as the TOEFL score and confidence in their English which is one of the requirements to continue studying and to become an employee in a company.
Semantics Application Networking for EFL learners' Communicative Language Learning

This study compares and contrasts the speaking activities that are regularly assigned to students in the classroom and explores how both teachers and students view the program's overall worth. The research uses experimental design as its methodology. Students who were enrolled in the first semester of the academic year 2021–2022 made up the study's population. The purposive sampling strategy was used by the current researcher. The researcher participated in two courses with a combined total of 80 students as samples for this study. The outcomes of this study are anticipated to provide important data and make a substantial addition to linguistic research, particularly in the field of language instruction. This study's sole objective was to use Semantics Networking Techniques to improve the students' oral English skills. The findings of this study highlight the significance of communicative language, language learning approaches, and semantic networking strategies in fostering students' development in various fields.&#x0D;
Design of text generator application with OpenAI GPT-3

The increasing need for text content creation today challenges the development of systems that can alleviate the need for text creation. Currently, text generation is done manually and has various shortcomings, especially in terms of time constraints, human error, limited creativity, and writing that tends to be repetitive by certain people, which can cause a decrease in quality and diversity in the sentences produced. This research was conducted by designing an AI-based text generator application using the GPT-3 language model to generate text automatically and help overcome some obstacles. Applying this app will increase efficiency and productivity, increase the writer's ideas and creativity, automate routine tasks, and produce exciting and communicative sentences. The app's ability to generate text quickly and accurately and be personalized makes it valuable in various fields. The method used in this research is implementing the GPT-3 language model APIs into the text generator application created so that the application can connect with the GPT-3 engine that has been modified in its prompting method. The output of this application is a text that has been adjusted to the user's needs through keywords entered on the web interface system. The result is that the text generator application is good enough to be implemented in various fields, especially text content generation.
ANALISIS BROSUR PONDOK PESANTREN DARUSSALAM BLOKAGUNG DITINJAU DARI ASPEK DESAIN GRAFIS

Promotion is something that must be done by an institution, promotional activities are usually carried out to introduce and inform the advantages of the institution so as to form a good image to the public, one of the promotions that is relatively used is print media in the form of brochures. Brochures contain quite a lot of messages so that readers can understand the intent to be conveyed by the promoter. Darussalam Blokagung Islamic Boarding School is one of the institutions that annually publishes brochures in the form of books and are published with different designs. Brochures play a major role as dissemination of information for guardians of students who will enroll their children in Islamic boarding schools which contain several Islamic boarding schools and school units. Messages and information on brochures will be easier to understand if they are visually appealing. The problem that will be studied in this research is to analyze the application of the graphic design aspects contained in the brochure published by Pondok Pesantren Darussalam Blokagung in 2022. The aim is to find out to what extent the brochure fulfills the graphic design aspects. The research method used is a qualitative descriptive method approach, namely by describing each subject to be studied and adjusted to a predetermined theoretical framework. After collecting data through observational research instruments, interviews and documentation, the results of the study show that PP. Darussalam Blokagung does not meet the graphic design aspects, according to Willam Lidwell et al in his book entitled Universal Principles of Design. Meanwhile, according to Ellen Lupton in her book entitled Thinking With Type, brochures have fulfilled the aspects of graphic design, because they have fulfilled the aspects of legibility, balance, unity and effective color, according to what Ellen Lupton explained.&#x0D; Keywords: Brochure, Design Grafis
The Effect of Project-Based Learning Methods on Students' Ability in Developing Research Instruments of CDA

The better the collaboration in developing a class discourse analysis research instrument, the better the research instrument's preparation outcomes. Thus, this study aims to determine the effect of project-based learning methods on students' ability to develop discourse analysis research instruments in the Indonesian Language Education Masters Study Program at the University of Bengkulu. The One Groups Pretest-Posttest Design was utilized in this work as an experimental approach utilizing pre-experimental designs (non-designs). The data collection technique used was a test technique in the form of a performance test to arrange research instruments of class discourse analysis. The steps for analyzing the data are by giving an assessment score, calculating the average student score, testing the normality of the data, and testing the hypothesis with the Paired Sample T Test using SPSS 24. The results showed a significant effect of project-based learning methods on students' abilities in composing a discourse analysis research instrument for Indonesian Language Education Study Program graduate students. The influence is indicated by the Sig value (2-tailed) of 0.00 is smaller than 0.05. Students have mastered the ability to compose class discourse analysis research instruments, namely making transcriptions of spoken discourse into written text, compiling guidelines for class discourse analysis in the form of work analysis tables and coding, and compiling interview guidelines.&#x0D; Keywords: Effects, project-based learning methods, the ability to compose class discourse analysis research instruments
BRQG: A BART-Based Retouching Framework for Multi-hop Question Generation

BART is a powerful pre-trained model that has excelled in generative tasks such as text summarization, question answering, and machine translation. In previous studies, the BART model has often been used for multi-hop question generation(MQG) task, and it significantly improved the quality of generated questions compared to recurrent neural network-based models. However, due to the differences between downstream tasks and pre-training tasks, BART still generates some nonsensical and grammatically incorrect questions in multi-hop question generation tasks. These types of questions can have a negative impact on the user’s reading experience. To address this challenge, we propose a BART-based retouching framework(BRQG), which builds upon BART. Specifically, BRQG uses BART-generated questions as a starting point, and introduces a Retouching Network module to reattend to the questions and context. The Retouching Gate layer then fuses this attention in an appropriate proportion to generate second-round questions that are more complete and readable. In addition, we propose a Entity Awareness Enhancement module, which construct graph structures from input documents to improve the correctness of entity generation. We conducted experiments on the HotpotQA dataset, and the results show that our model outperforms the currently proposed model on BLEU4, demonstrating the advantages and feasibility of BRQG in multi-hop question generation.