Reviewerly/exHarmony huggingface dataset:
Teaching Reading Using PQRST Method with Power Point Media

The problem with student reading comprehension is that it is difficult to translate reading comprehension sentences, as English contains multiple tenses as well as vocabulary. Many students often find it difficult due to poor grammatical structure and vocabulary. Teaching methods are usually not very interesting for students. They say the instructor uses the traditional method (GTM). One alternative solution to this problem is PQRST with PowerPoint media. This method has been studied to see if it works effectively for learning to read. This study adopted a quasi-experimental procedure using a non-randomized pre-test and post-test design. As a result, it was found that the PQRST method using PowerPoint media is an effective method for reading comprehension instruction because it exhibits better reading comprehension than the conventional method.Keywords: teaching reading, PQRST, PowerPoint
Pengembangan Sistem Point Of Sale Berbasis User Centered Design

UD Tebar Gembira is an UMKM engaged in the sale of herbal drinks. The obstacle faced by UD Tebar Gembira during its business activities is the absence of a POS (Point of Sale) system that functions as a tool in recording purchase transaction data and complete inventory of goods. The methodology applied in this research is the User Centered Design (UCD) method which is an applied method that aims to solve practical problems in the modern world. The result of this research is a web-based POS (Point of Sale) application. The implementation of the research has had many positive impacts where the owner of the Tebar Gembira trading business as a user feels it is easy to refill the stock of goods because they can directly monitor the amount of inventory that has been recorded in the system.
LEGAL USE OF INTELLECTUAL PROPERTY FOR BUSINESS

The growth and competitiveness of any business, especially micro and SMEs, will increasingly depend on the ability to apply new knowledge, organization and working methods, as well as the capacity to engage in the commercialization of research and development to develop new products, services, or processes.In the information society, the development of new products, services, and processes requires the use of innovations resulting from the intellectual activity of creative people. For creators and successors in title of intellectual property rights (various projects, trademarks, inventions, computer programs, etc.) to be able to successfully develop and market their products, they need a functioning IPR protection system. The study used an analytical method to investigate research on the unlicensed commercial use of copyrighted works, a grammatical, systematic, teleological and historical method of interpreting legal provisions to assess the regulation of existing legal provisions and to propose amendments to anti-piracy legislation. Inductive and deductive research methods have been used to draw conclusions. The study concluded that when concluding a copyright or employment contract, it is very important to clearly define the transfer of copyright and its scope. It is important to obtain the right to use the work from both the employees and the cooperation partners, as well as to obtain the right to use the previously created work, including computer programs.
Fair Classification via Transformer Neural Networks: Case Study of an Educational Domain

Educational technologies nowadays increasingly use data and Machine Learning (ML) models. This gives the students, instructors, and administrators support and insights for the optimum policy. However, it is well acknowledged that ML models are subject to bias, which raises concerns about the fairness, bias, and discrimination of using these automated ML algorithms in education and its unintended and unforeseen negative consequences. The contribution of bias during the decision-making comes from datasets used for training ML models and the model architecture. This paper presents a preliminary investigation of the fairness of transformer neural networks on the two tabular datasets: Law School and Student-Mathematics. In contrast to classical ML models, the transformer-based models transform these tabular datasets into a richer representation while solving the classification task. We use different fairness metrics for evaluation and check the trade-off between fairness and accuracy of the transformer-based models over the tabular datasets. Empirically, our approach shows impressive results regarding the trade-off between fairness and performance on the Law School dataset.
ORAL AND WRITTEN COMMUNICATIVE COMPETENCE AT THE LESSONS OF FOREIGN AND NATIVE LANGUAGES IN PRIMARY SCHOOL IN THE PROCESS OF BLENDED LEARNING

Nowadays the paradigm of the Ukrainian educational system determines that the main task of the educational process is the formation of key competencies during teaching primary schoolchildren. Modern educational technologies should be aimed at creating vital abilities and skills.&#x0D; The article is devoted to one of the essential issues of the organization of the educational process in primary school in Ukraine, namely the peculiarities of the formation of schoolchildren’s oral and written communicative competence at the lessons of literacy (1st grade), Ukrainian language and Reading (2-4 grades) and Foreign Language (1-4 grades) in terms of blended learning due to the coronavirus pandemic.&#x0D; In the article we have analyzed and summarized the practical experience of the primary school teachers in terms of the formation of key and subject competencies in the conditions of blended learning in the educational process on the one hand, and the creation of the mobile educational environment during quarantine restrictions on the other hand. Also, we suggest the newly designed methodological tools for providing effective techniques while teaching primary schoolchildren at the lessons of linguistic and literature educational branch in general, and communicative (native and foreign) oral and written competencies in particular.&#x0D; The article offers a list of digital resources, modern pedagogical technologies, methods, assessment tools, the peculiarities of planning and conducting online lessons, which allow organizing the educational process effectively in the conditions of the pandemic. We have paid attention to the radical changes in the teachers and pupils’ activities, caused by the active usage of digital resources and innovative educational technologies in the blended learning conditions.&#x0D; In the off-line mode, the way of learning, transferring knowledge and vital skills acquisition is planned and managed by a teacher directly and the results of schoolchildren’ success depend on him/her. In the mode of online education, the role of the pupil becomes of paramount importance, because the independence, and hence: autonomy, self-regulation of educational activities prevail here.&#x0D; The teacher, conducting the subjects of linguistic and literature educational branch, performs the functions of a mentor-consultant, tutor, coordinator of cognitive activity, and pupils become active participants in the dynamic learning process, which provides a productive implementation of oral and written communicative approach to mastering subject and life skills.
Estimation of Logistic Regression Model on The Risk of Acute Respiratory Infection Toddlers at Cikampak Torgamba Public Health Center Using The Maximum Likelihood Method

According to the World Health Organization (WHO), the incidence of Acute Respiratory Infections (ARI) in the world by number of toddler who died achieve ± 13 million each year. Researchers will estimate the model equations logistic regression using maximum likelihood. The purpose of this study was to determine the logistic regression model against respiratory infection in infants and the test results of the method of maximum likelihood against respiratory infection in infants in the health center Cikampak Torgamba. Logistic regression Model against the toddler obtained results that the model to be used and the test results of the method of maximum likelihood that the model is significant.
Pengaruh Usability dalam Self Service Technology Terhadap Kepuasan Pemustaka di Balai Layanan Perpustakaan Unit Grhatama Pustaka Yogyakarta

&lt;p&gt;&lt;em&gt;Technological advances have an impact on library services. This can be seen from the change in services that were previously manual but now use technology. The existence of technology in circulation services then developed again by presenting self service technology (SST).One of the libraries that implements a self-service system is the Grhatama Pustaka Yogyakarta Library. Grhatama library has visitors who vary in terms of age and status, including students, students and workers. Usability is an attribute used to measure the quality of the interface used by the user. Usability in self-service technology in libraries can be used to determine whether a technology-based service is appropriate and easy to use by users.This study aims to determine the effect of the level of usability in the application of self-service technology on user satisfaction in the library unit Grhatama Pustaka Yogyakarta and users consisting of three groups, namely students, students and workers. Usability consists of effectiveness, efficiency, aesthetic appearance, terminology, navigation, and learnability. This study uses a survey method with a quantitative approach. The research sample was taken using purposive sampling technique. Data collection techniques used are questionnaires, observation, literature study and documentation. The results of this study indicate that there is an effect of usability self service technology on user satisfaction. In addition, there are differences in the level of influence of usability in self service technology on the satisfaction of the three groups of users in this study, namely students, students and workers&lt;/em&gt;&lt;/p&gt;
Role of musical performance in the process of the spiritual development

The author presents a social-philosophical model for understanding the substantial value of musical performance experience and its specific role in the process of the spiritual development.
Pengembangan Electronic Student Worksheet Bercirikan Higher Order Thinking Skill dan Model Learning Cycle 7E pada Materi Elastisitas

During the pandemic teaching materials are needed that can be used online by educators and students, therefore the researchers developed an electronic student worksheet characterized by higher order thinking skill and the 7E learning cycle model on elasticity materials to determine the level of validity, practicality, and effectiveness. This research is categorized as research and development (R&amp;D) research. The methods used in the research are questionnaires, interviews, and test questions. Research subjects are students of class XI MNS and XII MNS 1Pegandon high school. Electronic student worksheet which was developed in the form of a link, making it easier for educators and students in the learning process. The validation results show that the product and instruments developed are very valid. The level of practicality shows that the product developed is very practical to use. The level of effectiveness of the developed product is obtained based on student learning outcomes and responses. Product development is at a moderate level for its effectiveness on student learning outcomes. The response from students and educator is very good.
AN ANALYSIS OF ACADEMIC WRITING ACQUISITION OF UNIVERSITY STUDENTS IN INDONESIAN CLASSES

Academic writing is arguably the most important skill in academic contexts and also the most difficult skill for most students to master. Consequently, extra learning efforts are necessary to be carried out by the students to ensure that their acquisition up to the present academic requirement. This study was conducted to find out the acquisition of students’ academic writing skills. Study was conducted in Indonesian classes consisting of 30 students as the sample of the study which were selected by random sampling technique. Valid and reliable research instruments in the form of essay test was administered to the sample to collect the required data. This study found that university students of Indonesian classes have sufficient acquisition in academic writing. Therefore, this study implies that academic writing of the students should continually be improved to ensure that the students have higher acquisition in academic writing.
Automatic Image Processing Algorithm for Light Environment Optimization Based on Multimodal Neural Network Model

In this paper, we conduct an in-depth study and analysis of the automatic image processing algorithm based on a multimodal Recurrent Neural Network (m-RNN) for light environment optimization. By analyzing the structure of m-RNN and combining the current research frontiers of image processing and natural language processing, we find out the problem of the ineffectiveness of m-RNN for some image generation descriptions, starting from both the image feature extraction part and text sequence data processing. Unlike traditional image automatic processing algorithms, this algorithm does not need to add complex rules manually. Still, it evaluates and filters through the training image collection and finally generates image automatic processing models by m-RNN. An image semantic segmentation algorithm is proposed based on multimodal attention and adaptive feature fusion. The main idea of the algorithm is to combine adaptive and feature fusion and then introduce data enhancement for small-scale multimodal light environment datasets by extracting the importance between images through multimodal attention. The model proposed in this paper can span the semantic differences of different modalities and construct feature relationships between different modalities to achieve an inferable, interpretable, and scalable feature representation of multimodal data. The automatic processing of light environment images using multimodal neural networks based on traditional algorithms eliminates manual processing and greatly reduces the time and effort of image processing.
The Hotel Management Students’ Needs on English Online Learning at Politeknik Internasional Bali

During pandemic Covid-19 which was started at the beginning of 2020, the learning process in all levels of education in Indonesia has been shifting to online learning. Politeknik Internasional Bali as one of the vocational higher education institutions has also implemented online learning for all the subjects. English is one of them. Since then, the needs of students in learning are also changed depending on the learning situation. This research was quantitative research aiming at finding out and examining the hotel management students' needs for English online learning at Politeknik Internasional Bali. There were 20 students involved as participants in the research. The researcher used questionnaires to collect the data. The data gained were analyzed using descriptive statistics to find out the percentage of the needs. Based on the analysis, it was found that the students needed online learning that meet these criteria. The hotel management students need online learning that is (1) fun, (2) contains various activities, (3) provides clear instructions, (4) provides team works, (5) provides learning modules, (6) easily accessed, (7) providing interactive learning, and (8) containing various features. The results of this research can be a source for the development of online learning media, in the forms of modules, learning activities, and others that can meet and are suitable for students' needs.
Implementasi Aplikasi EPANET Dalam Evaluasi Pipa Jaringan Distribusi Air Bersih PDAM Kolaka

The need for raw water for various reasons, particularly clean water for households, public areas, and industry, will continue to rise as the world's population grows and the pace of growth in various fields accelerates. However, because the existing supply of clean water infrastructure is still limited, it has not been able to cover all of the country's water needs. Residents in Latambaga District, Kolaka Regency, are likewise concerned about the lack of safe water. Although the area has adequate water sources (river water) and a distribution network that distributes clean water to the population, the issue is getting water from these water sources to areas where there isn't an optimal clean water distribution network so that it can be used by the community population. As a result, it is required to assess PDAM Kolaka's clean water distribution network by employing the EPANET program application in its analysis. The findings of the pipeline network evaluation using the EPANET 2.0 application, the diameter of the pipes used in the evaluation, pipes with a diameter of 1" to 4", and the demand for 1,003 rods of PVC pipes
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks

Deep reinforcement learning has shown promise in discrete domains requiring complex reasoning, including games such as Chess, Go, and Hanabi. However, this type of reasoning is less often observed in long-horizon, continuous domains with high-dimensional observations, where instead RL research has predominantly focused on problems with simple high-level structure (e.g. opening a drawer or moving a robot as fast as possible). Inspired by combinatorially hard optimization problems, we propose a set of robotics tasks which admit many distinct solutions at the high-level, but require reasoning about states and rewards thousands of steps into the future for the best performance. Critically, while RL has traditionally suffered on complex, long-horizon tasks due to sparse rewards, our tasks are carefully designed to be solvable without specialized exploration. Nevertheless, our investigation finds that standard RL methods often neglect long-term effects due to discounting, while general-purpose hierarchical RL approaches struggle unless additional abstract domain knowledge can be exploited.
Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings

The classical machine learning paradigm requires the aggregation of user data in a central location where machine learning practitioners can preprocess data, calculate features, tune models and evaluate performance. The advantage of this approach includes leveraging high performance hardware (such as GPUs) and the ability of machine learning practitioners to do in depth data analysis to improve model performance. However, these advantages may come at a cost to data privacy. User data is collected, aggregated, and stored on centralized servers for model development. Centralization of data poses risks, including a heightened risk of internal and external security incidents as well as accidental data misuse. Federated learning with differential privacy is designed to avoid the server-side centralization pitfall by bringing the ML learning step to users' devices. Learning is done in a federated manner where each mobile device runs a training loop on a local copy of a model. Updates from on-device models are sent to the server via encrypted communication and through differential privacy to improve the global model. In this paradigm, users' personal data remains on their devices. Surprisingly, model training in this manner comes at a fairly minimal degradation in model performance. However, federated learning comes with many other challenges due to its distributed nature, heterogeneous compute environments and lack of data visibility. This paper explores those challenges and outlines an architectural design solution we are exploring and testing to productionize federated learning at Meta scale.
Achieving Organizational Success Through Strategic Renewal

Study design/ methodology:The study aimed to verify the impact of strategic renewal with its dimensions (context, content and process) on organizational success with its dimensions (flexibility, innovation, cohesion and employee selection) at the Hashemite University in Jordan.The researchers adopted the descriptive analytical method in the study.The study was conducted on a sample of 97 managers. Findings:The results of the study indicated that there are medium levels of interest in the dimensions of strategic renewal and dimensions of organizational success by the university administration.The results also showed that there was a significant impact of strategic renewal on organizational success, and that there was a significant impact of the content and process on organizational success, while the context was not significant impact on organizational success.
Examining Effectiveness of Performance Analysis of Agile Transformation

The agile manifesto established the agile method as a response to the conventional paradigm in software development.In this manifesto, new ideals for the software industry were examined, as well as new principles for the organization's agile foundation.To keep up with the rapid changes in technology and business, agile methodologies can be a useful tool.Many firms have switched from using plan-based production processes to using agile ones because of the advantages of agility.For this research roughly 10 software and communications firms are identified where agile is being used.All the respondents for interviews and survey's will be completely functioning in agile environment.The entire sample size was aimed at 150 with an emphasis on reaching the proper people to acquire reliable information.This will be done by adopting the single-staged sampling approach where agile organizations are picked.Later SPSS will be used for additional analysis of the data.Surveys will largely focus on questions to identify the efficacy of present yearly performance evaluation techniques/methods.
Design and Implementation of Power-Efficient Cryptography Scheme Using a Novel Multiplication Technique

Abstract The threat application has been increased a lot in the digital application; hence, protecting the data and the digital application is very important. Several crypto algorithms were already implemented with different sub-module to secure the data from the malicious event. However, the harmfulness of the malicious events has broken the security in many cases. This has resulted in high data theft, less confidential range and data loss So, the present article has designed a novel Bernoulli Data-encryption-standard (B-DES) for securing the digital communication in the wireless environment. Here, the Bernoulli function has been performed after the XOR process, and then during the decryption process, the function of the novel B-DES has been reversed. Moreover, the designed encryption approach is checked with the brute force attack . Here, the gained power usage by the designed scheme is 193 mW, compared to other models; it has diminished the power usage by 7%. Moreover, the earned memory utilization is 0.6 kB, compared to other compared models, it has reduced the memory utilization is 3%. The delay rated recorded by the designed model is 3.43 ns, compared to other models it has minimized the delay score by 3%.