Reviewerly/exHarmony huggingface dataset:
The Contributing Factors of Students' Speaking Anxiety in EFL Classroom Presentation

The purpose of this study was to analyze the characteristics of students who experience anxiety in speaking English in the presentation class and to analyze the external factors that cause students' speaking anxiety in the presentation class at SMA Negeri 51 Jakarta class XI IPS 4. This study used a thematic qualitative descriptive analysis. by using the theory of Rogers (2008) in analyzing the characteristics of anxiety and Tanveer (2007) in analyzing the external factors that cause anxiety. The first data was obtained from the results of observations which were carried out once by documenting class presentation activities then the researcher analyzed them, and the second data was obtained through interviews conducted online using WhatsApp chat which were conducted outside school hours. In the first data, the researcher found that there were characteristics of anxiety in class XI IPS 4 students which could be seen from three aspects, namely physical aspects, emotional aspects, and psychological aspects. Meanwhile, the second data found that external factors causing students' speaking anxiety in class XI IPS 4 in the presentation class were caused by two components, namely the audience component and the material component.
Teaching Irregular Verbs through Crossword Puzzle in the Second Semester of the Seventh Grade Students of East Lampung Junior High

This research investigated the process of teaching irregular verbs using crossword puzzles to second-semester eleventh-grade students of SMP N 1 Gunung Pelindung Lampung Timur in the 2022/2023 academic year. The researcher believed that this technique could help students learn irregular verbs more effectively. The research was descriptive qualitative research, and the population was the second-semester seventh-grade students of SMP N 1 Gunung Pelindung Lampung Timur. The researcher used purposive sampling to select the sample, choosing class VII C, which consisted of 28 students and 1 English teacher. Data collection techniques included observation, interviews, and questionnaires. The data analysis showed that the teaching and learning process using crossword puzzles ran well. It was a good technique that could be implemented in the process of teaching and learning English vocabulary, especially irregular verbs. Moreover, crossword puzzles were not only easy for teachers and students to implement, but they could also increase student motivation and participation in the teaching and learning process. In conclusion, the research found that using crossword puzzles to teach irregular verbs was an effective and efficient method. It was a fun and engaging activity that could help students learn and remember irregular verbs more easily.
Quality of the peat water and its association with public health problems in the community of the Danau Tundai area

Background: Communities in the Danau Tundai Area, Palangka Raya City, Central Kalimantan Province, Indonesia still use peat water for their daily water needs. The use of peat water is one of the things that need to be considered because disease transmission can occur through water with poor quality and will cause health problems in the Danau Tundai community.Objective: This study aimed to determine the quality of peat water in the Danau Tundai Area and to identify the association between the quality of peat water and public health problems in the Danau Tundai AreaMethods: Water samples taken were analyzed physically, chemically, and biologically by government water quality regulations. The primary data source in this study was a questionnaire to obtain data on peat water use and health problems among the people of Danau TundaiResults: Results indicated that peat water quality of the Danau Tundai Area didn’t meet the Ministry of Health standard for drinking water because the physical appearance was brown, tasted, and smells. The chemical analyses also showed that the levels of KMnO4 were 257.5 mg/L, Fe 0.66 mg/L, pH 4.02, Dissolved Oxygen (DO) 5.9 mg/L, Biological Oxygen Demand (BOD) 18.6 mg/L, and Chemical Oxygen Demand (COD) 156.9 mg/L. Those levels were higher than the cut-off points set by Ministry of Health. The public health problems that mostly experienced was itching (75.3%), stomachache (66.7%), and yellow teeth (61.3%). Simple linear regression showed a positive significant association between quality of peat water (based on individual perception) and public health problems in the Danau Tundai area (p = 0.000).Conclusion: Peat water quality of the Danau Tundai Area didn’t meet the Ministry of Health standard for drinking water, and the quality of peat water had a significant association with health problems Danau Tundai communities.
Requirements Elicitation for Software: Modeling Techniques

This research aims to introduce Goal-Oriented Requirements Engineering (GORE), defining what is meant by a goal, the main differences between goal and requirement, also the types of goals and the sources of extracting these goals, in addition, the birth of goal modelling techniques and the reason behind using goal modelling, at last, the goal-oriented approaches, early and late requirements goal modelling techniques, this research tries to get out with the result of how goal modelling is very important in requirements engineering, in order to extract the goals and requirements in correspondence to business context, which in turn will aid in better analyses and extract the functions and processes in any organization or business.
Analysis of the Use of Distance Learning Technology in Universities in the Riau Islands Province with the Technology Acceptance Model (TAM)

The problem that is the focus of the research is the use of distance learning technology at universities in the Riau Islands Province using the Technology Acceptance Model approach. This research aims to analyze user perceptions on ease of use, usability, usage behavior, and use of distance learning technology. This research aims to determine user perceptions of distance learning technology in universities in the Riau Islands Province. Apart from that, this research also aims to evaluate the influence of the ease of use perspective, usability perspective, and usage behavior on the use of distance learning technology. The research results show that research respondents, who are academics and staff at universities in the Riau Islands Province, have a high perception of distance learning technology. From the test results, it was found that there was no significant influence between the ease of se perspective and the usability perspective on the use of distance learning technology. However, usage behavior has a significant influence on the use of distance learning technology. Apart from that, these three variables together have an influence of 69.70% on the use of distance learning technology.
Improving Students' Learning Outcomes Regarding Comparing and Sorting Two Numbers In Mathematics Subjects Using Cooperative Learning Model The Numbered Heads Together (NHT) Type

This research has several objectives, the first is to find out whether the application of the Numbered Heads Together (NHT) cooperative learning model can improve students' math learning outcomes about comparing and ordering two numbers in 1st grade of elementary school. The second objective is to determine the process of improving student learning outcomes in mathematics subjects about comparing and ordering two numbers after using the Numbered Heads Together (NHT) learning model in 1st grade of elementary school. The third objective is to measure the magnitude of the increase in student learning outcomes in the mathematics subject of comparing and ordering two numbers after using the Numbered Heads Together (NHT) type cooperative learning model in 1st grade of elementary school. The results showed that before applying the Cooperative Numbered Heads Together (NHT) learning model, students' learning outcomes only reached an average score of 66.15, then there was an increase after using the Cooperative Numbered Heads Together (NHT) learning model to 74.61 in cycle 1 and 81.79 in cycle 2. It can be concluded that the use of the cooperative learning model of the Numbered Heads Together (NHT) type can be a fun learning variation for students so that it is proven to improve student learning outcomes.
Constructing a Model Combining Zalo and End-to-End Encryption for Application in Digital Transformation

Abstract—This paper proposes and implements a model combining Zalo and end-to-end encryption to apply in digital transformation. The main idea is to promote the strengths of the Zalo social network to exchange information and manage work but ensure information confidentiality for both the server and man-in-the-middle attacks based on the end-to-end encryption model. End-to-end encryption is right at the client, so only the encrypted data is stored on the server and therefore the server cannot decrypt it. This solution can use international standard cryptographic algorithms or those of the Vietnam Government Information Security Commission. The solution model has been developed, deployed, and tested at the Academy of Cryptography Techniques. Our proposed system serves as an end-to-end encryption and adapter used to encrypt text data and files in various social networks. Within the scope of this paper, we deploy a test solution with Zalo.
ANALISIS PENERAPAN SISTEM INFORMASI PENERIMAAN DAN PENGELUARAN BARANG (STUDI KASUS PADA PT ARAZ INTI LINE)

Inventory management is a crucial aspect of any company that needs to be managed well. However, it has been discovered that at PT Araz Inti Line, only one employee is responsible for inventory entering and leaving the warehouse. This poses a risk of inventory discrepancies or loss. As a result, this research aims to analyze the implementation of the inventory receipt and expenditure information systems at PT Araz Inti Line. Qualitative data from primary sources such as interviews and observations and secondary sources such as documentation of inventory accounting information systems were used in conducting this research. The research methodology utilized descriptive data analysis techniques. The findings indicate that the receiving and releasing of goods at PT Araz Inti Line are not adequately implemented. There is a lack of proper segregation of duties for recording inventory in physical and rupiah terms. Additionally, essential documents such as goods receipt reports are found absent.
The Cracking Study on the "Emptiness" and "Alienation" Phenomenon Based on Huang Yanpei's Vocational Education Thought

Development up to now, the vocational education had made remarkable achievements, but there also appeared the phenomena of "emptiness" and "alienation" in the vocational education, and exposed the problems in the speciality, value orientation, personnel training, education system and so on. In order to realize the great development, great leapfrog and great integration of the present vocational education. This paper insisted on Huang Yanpei's vocational education essence, expounded and analysed the phenomena of "emptiness" and "alienation" in the vocational education, diagnosed and clarified the root of the problem about the vocational education, explored the prescription and the path to solve the problem, add vitality and power for the development of the vocational education, gave full play to the practical significance and practical value of the vocational education.
Fostering MT Literacy and Reasserting the Value of Human Translators

In a rapidly evolving language services landscape where the boundaries between translation, revision, and post-editing are becoming increasingly blurred, this article provides a state-of-the-art review on the intricate relationship between human translators and Neural Machine Translation (NMT). While acknowledging the significant advancements made in the field of Artificial Intelligence (AI) applied to automatic language processing, we want to emphasize the pressing need to reassert the value of human translators over unconscious algorithms that automatically generate translations. This paper also highlights the synergy between human skills and technology, positioning NMT as a key additional tool in a translator’s toolkit that enhances both speed and efficiency to meet the exponentially growing demand for translation services and to cope with the ever-tightening deadlines. Nevertheless, considering the ambivalent effects of NMT on the quality of the final product, we advocate for the informed and responsible use of machine translation (MT) tools by both professionals and translation students. Furthermore, we believe that beyond fostering MT literacy, translation trainers may play a crucial role in nurturing adaptability in future translators, equipping them with the necessary skills and tools to confidently navigate the latest and emerging technologies—such as interactive and adaptive MT tools or chatbots—in order to secure them a competitive advantage in the translation industry.
EVALUATION AND DESIGN OF MANAGEMENT INFORMATION SYSTEM DEVELOPMENT IN COMPLETENESS OF RECIPE SCREENING IN AR-RASYID ISLAMIC HOSPITAL PALEMBANG

Errors in prescribing and administering drugs are things that often occur in medicine, so in an effort to improve pharmaceutical performance, an evaluation and development of a SIM is carried out to support pharmaceutical services in hospitals. The aim of this research is to evaluate the Management Information System needs at RSI Ar-Rasyid Palembang and continue with the development of a design model. This research is descriptive research conducted through direct observation and documentation. The development of this research system uses a prototype method starting from needs analysis, system design and implementation of the EUCS (End User Computing Satisfaction) framework system, creating a system design using context diagrams, Data Flow Diagrams and Entity Relationship Data, the data analysis method used is qualitative analysis. The results of the research from direct observation on the completeness of the IFRS SIM show that the SIM at RSI Ar-Rasyid in pharmaceutical screening has been fulfilled, but in administrative screening and clinical screening it has not been fulfilled and the results of evaluation using a questionnaire distributed to pharmaceutical installation staff show an average the answer to each statement variable is satisfied. In making a draft design, there are suggestions that include clinical screening of prescriptions, it is hoped that this will help pharmacy installation staff in providing services to avoid medication errors. Based on system design, input design and output design, the patient prescription screening management information system design meets the criteria so it is ready to be implemented into the system.
Analyzing the Effectiveness of Collaborative Filtering and Content-Based Filtering Methods in Anime Recommendation Systems

In the current digital era where content consumption via streaming platforms is increasing, the need for accurate recommendation systems is becoming increasingly important, especially in the animation industry. This research focuses on implementing a recommendation system that can help viewers easily navigate the abundance of content. By comparing collaborative filtering and content-based filtering methods, this research attempts to find the optimal approach for providing anime recommendations. From the results of A/B testing and further analysis, it was found that Collaborative Filtering was effective in providing recommendations based on similar interests between users. On the other hand, content-based filtering offers the advantage of personalizing recommendations based on content characteristics. Additionally, integrating these techniques into mobile applications will enrich the user experience, allowing them to receive recommendations more quickly and interactively. With these findings, this research contributes to the development of more intuitive and responsive recommendation systems, driving the growth of the anime streaming industry by increasing user satisfaction and retention.
Performance, Commitment, and Growth: Understanding Turnover Intentions in Pakistan's Banking Sector Through Job Satisfaction

This study aims to examine the associations between performance appraisal, job satisfaction, career development, affective commitment, and turnover intentions among employees in the banking sector. Using a sample size of 400 banking sector employees, the research employs Smart PLS 3.0 for structural equation modeling. The study utilizes a cross-sectional design to analyze the direct and mediated relationships between the mentioned variables. The findings unveil a significant adverse association between affective commitment and turnover intentions, whereas performance appraisal demonstrates an unexpected positive correlation with turnover intentions, contrary to conventional expectations. Career development opportunities also display a positive albeit weaker link with turnover intentions. Job satisfaction emerges as a pivotal mediator, particularly in the relationships involving career development and performance appraisal. The study's focus on the banking sector limits its generalizability to other industries. The use of Smart PLS 3.0 and the cross-sectional nature of the study present methodological limitations. Future research could benefit, from a longitudinal approach, a more diverse sample, and the inclusion of various industries to enhance the applicability of the findings. The study underscores the need for banking sector organizations to reevaluate their performance appraisal systems and career development programs, considering their impact on turnover intentions. Enhancing affective commitment and job satisfaction is crucial for employee retention. This research contributes to the understanding of how performance appraisal, career development, and affective commitment influence turnover intentions in the banking sector, It offers valuable insights for human resource management practices in a rapidly evolving economic landscape.
Expat Vlogs: Bilingual Couples Share their Lives on the Internet

Abstract As there are more and more bilingual couples who ran vlogs to share their bilingual and intercultural lives on the internet, this paper seeks to delineate the sources of motivation for these couples to disclose their privacy through vlogging. Based on the sample of selected vlogs, a qualitative analysis has been conducted to obtain the sociolinguistic picture of the bilingual couples’ motivations to attract wider audiences via the internet. The analysis of vlogs, informed by a multimodal theoretical framework, focused on the audiovisual and textual content of vlogs with regard to the subjective representations of films and texts resulting from these couples’ individual stories. The conducted study spotlights vlogging activities of bilingual couples who feel the need to share their intercultural and bilingual experiences on the internet. Our data suggest that bilingual couples vlog to express their hybrid identities by sharing how they cope with challenges and overcome linguistic barriers, as well as find ways to enjoy cross-cultural understanding. The paper explores the linguistic and cultural diversity from a new perspective of private vlogs created and maintained by bilingual couples. It unfolds an account of the less studied online context in which partners of different ethnic backgrounds make their private lives public, and illustrates how bilingual couples generate ideas to filming and sharing online.
Road Scene Text Detection and Recognition Using Machine Learning

For high-level semantic information extraction, text is the most powerful source. Understanding natural scene text is a hot topic in the area of computer vision. It means that natural scenes encapsulated a variety of specific information in the form of text, which may be applied in a variety of applications of real world. This study will look at all areas of scene text comprehension while adding fresh machine learning algorithms in a semi-pipelined or fully pipelined methodology. The primary target of this study is to produced and implement integrated algorithms that automatically perform image processing and computer vision techniques in order to understand, correct, and overcome all text-related challenges under a single umbrella, resulting in an all-in-one end-product. In the first phase of this research work an object detection model i.e. YOLOv5 is applied on ASAYAR dataset to localize the road scene text images in the form of bounding boxes. This model has worked more effectively and produced accuracy level up to 99% on text images. In the second phase preprocessing techniques are applied and quality of image dataset is enhanced by using K-Means color segmentation. The enhanced images are then passed through Maximally Stable Extremal Region (MSER), which is a feature region detector for text based images. After detection of text regions, Optical Character Recognition (OCR) is applied for the final text recognition.
Assessment of PV Performance-Enhancing Technologies in Desert Climate Conditions of Dubai

Dubai receives 2,200 KW/m2 of global horizontal irradiance (GHI) annually, and its desert areas have an albedo of 0.4, making it an excellent location to generate electricity through photovoltaics (PV). However, it also has extremely hot temperatures in the summer and constant dust. Therefore, this study investigated and compared several performance-enhancing technologies, installation parameters, and site conditions to produce relevant information for improving the behavior of PV plants in Dubai's urban and desert conditions. The results of simulations carried out in the System Advisor Model (SAM). For monofacial modules the energy production is increased using: ideal thermal management by 12% (fixed horizontal); single-axis east-west trackers by 34.2%; and their combination by 52.8%. Fixed-mounted bifacial modules produce 19% more than the base case of horizontally tilted monofacial modules without thermal management, and this type of module in a single-axis tracker achieved more than 54% improvement. Monofacial module mounted over dual axis tracker with thermal management showed the best increment in energy yield of all cases.
Swarm Intelligence Numerical Optimization Algorithm Representing Individuals as Dynamic Graphs in the Euclidean Search Space

We propose a new swarm intelligence numerical optimization algorithm that represents individuals as dynamic graphs in the Euclidean search space. We call it Graph Building Optimization Algorithm or GBO. The unique point of GBO is that an individual is represented by a dynamic graph whose nodes have coordinates (search points) in the Euclidean search space. Due to this unique point, we can draw a GBO's search process as a generation-transition of a feature of a graph. It is expected that we can obtain better understandings on a given problem by comparing the generation-transition for the given problem to the baseline for the simplest unimodal problem. We assume the maximum node degree in the best individual as the feature and the generation-transition of the feature for F1 in the CEC'13 test problems as the baseline. We demonstrate that we can guess the characteristics of other 27 problems in the CEC'13 test problems by comparing their generation-transitions to the baseline. In addition, we evaluate GBO using the same problems and show that GBO is capable of finding good solutions for various problems.