Reviewerly/exHarmony huggingface dataset:
Correlations Between Expressing Feelings, Conveying Thoughts, and Gaining Confidence when Writing Personal Narratives in One’s First and Second Language

This article aims to identify if writing personal narratives in one’s first and second language help in expressing feelings, conveying thoughts, and gaining confidence in writing. This study reflects a meaningful literacy approach focused on the individual language learner at the center of the learning process to facilitate writing development. Data came from current and former English majors who have taken creative writing courses. Participants were from private and public universities and a professional group on Facebook (N = 34). Data were collected through an online survey. Research questions were tested with statistical measures of correlations. Data were analyzed using SPSS. Descriptive statistics were used to check whether the data were normally distributed. Then, the Spearman rho test was used to check for correlations and covariance because the data were not normally distributed. Results revealed a correlation between expressing feelings, conveying thoughts, and gaining confidence when writing personal narratives in one’s first and second language. The findings can be applied in writing classrooms by integrating writing personal narratives to help students express feelings, convey thoughts, and gain confidence in writing. It is important for educators to understand how personal narrative writing supports students’ learning process in writing classes and beyond.
Effectiveness of Agricultural Information and Communication Center for Disseminating Agricultural Information

Nowadays, Information and Communication Technologies (ICT) are playing important role in communicating agricultural information. In this connection, the government of Bangladesh established a number of Agricultural Information and Communication Centers (AICC) at the Union level to disseminate agricultural information. The purposes of the study were to determine the effectiveness of AICC for disseminating agricultural information and to explore the contribution of the selected characteristics of the AICC member farmers to the effectiveness of AICC. Data were collected from 90 randomly selected farmers of nine Upazillas of Faridpur district under Dhaka division. Face-to-face interview followed by pretested structured questionnaire was held with the selected farmers to gather data. The survey revealed that an overwhelming majority (80%) of the farmers perceived medium effectiveness of AICC, while 7.8% of them perceived low and 12.2% of them perceived high effectiveness of AICC for disseminating agricultural information. The effectiveness of AICC was influenced by the intensity of use of ICT, length of experience to use ICT and ICT using confidence. Therefore, responsible organizations such as Agriculture Information Service (AIS) with the help of the Department of Agricultural Extension (DAE) and other advisory service-providing organizations should take action to enhance the effectiveness of AICC.&#x0D; Vol. 9, No. 3, December 2022: 259-265
Transparent Dimension Reduction by Feature Construction with Genetic Algorithm

&lt;p&gt;There are domain areas where all transformations of data must be transparent and interpretable (medicine and finance for example). Dimension reduction is an important part of a preprocessing pipeline but algorithms for it are not transparent at the current time. In this work, we provide a genetic algorithm for transparent dimension reduction of numerical data. The algorithm constructs features in a form of expression trees based on a subset of numerical features from the source data and common arithmetical operations. It is designed to maximize quality in binary classification tasks and generate features explainable by a human which achieves by using human-interpretable operations in a feature construction. Also, data transformed by the algorithm can be used in a visual analysis because the algorithm builds features that make space linearly separable using distance criteria in a fitness function to shift classes from each other as far as possible without loss of classification quality. The multicriterial dynamic fitness function is provided to build features with high diversity.&lt;/p&gt;
Decentralized Token Exchanges in Blockchain Enabled Interconnected Smart Microgrids

&lt;p&gt;This is a preprint. Blockchain technology (BCT) is emerging as a gamechanger for many industries due to its unique benefits like ability to conduct peer-to-peer (P2P) transactions in trustless environment with increased data security and transparency in real-time. It is employed in Blockchain Enabled Interconnected Smart Microgrids (BSMGs) to automate local energy markets, facilitate energy trading, and manage microgrid operations. However, with the increasing adoption of BSMGs, several challenges regarding interoperability between BSMGs may arise. Different BCT platforms may use their indigenous tokens or specially designed energy tokens for financial transactions. Also, cross-border international energy trades can become P2P which may involve real-time transactions using the countries’ digital currencies. Thus, in order to overcome the geographical and technological barriers impeding the widespread usage of BSMGs and access to energy for all, decentralized exchanges (DEX) must be incorporated. DEX are used in decentralized finance to exchange digital tokens and cryptocurrencies on blockchains. In this paper, an Order Book DEX is implemented on Cosmos which exchanges tokens between different chains using the Inter Blockchain Communication protocol (IBC). The working logic of the DEX is discussed and implemented using Ignite CLI. The financial exchanges and recording using buy and sell orders are demonstrated for the first time in energy domain.&lt;/p&gt;
Real-time FPGA implementation of the Semi-Global Matching stereo vision algorithm for a 4K/UHD video stream

&lt;p&gt;In this paper, we propose a real-time FPGA implementation of the Semi-Global Matching (SGM) stereo vision algorithm. The designed module supports a 4K/Ultra HD (3840 x 2160 pixels @ 30 frames per second) video stream in a 4 pixel per clock (ppc) format and a 64-pixel disparity range. The baseline SGM implementation had to be modified to process pixels in the 4ppc format and meet the timing constrains, however, our version provides results comparable to the original design. The solution has been positively evaluated on the Xilinx VC707 development board with a Virtex-7 FPGA device.&lt;/p&gt;
Zira Voice Assistant- A Personalized Interactive Desktop Application

&lt;p&gt;Since we know that python is a developing language so it is easy to write a voice assistant script in python. Day by day life became smarter and more connected to technology. We already know some voice services like google, Siri etc. Now in our Zira voice assistance system, it can act as a daily schedule reminder, send emails, calculator, play music and a search tool. Our project works on voice input and provides voice output and displays text on the screen. Our main voice help agenda makes people smarter and delivers faster results with a computer. Voice Help captures voice input with our microphone and transforms our voice into understandable computer language providing the necessary solutions and answers that the user asks. By doing this project, I realized that the concept of AI in all fields reduced human effort and time saving. &lt;/p&gt;
MENINGKATKAN KEMAMPUAN MEMBACA DENGAN STRATEGI MEMBACA KWL (KNOW, WHANT TO KNOW AND LEARND) SISWA KELAS X MPLB A SMK NEGERI 1 SINGARAJA TAHUN 2022/2023

AbstractThis classroom action research was carried out with the aim of improving students’ reading skills. The low initial data acquisition of class X MPLB A students at SMK Negeri 1 Singaraja in the odd semester of the Academic year 2021/2022 has prompted researchers to try to increase the poor processes that have been implemented. Improving the learning process was carried out through the implementation of the KWL (Know, What to Know and Learned) strategy. This strategy was expected to solve the problems being faced. After the data was collected through the learning achievement test instrument, it was obtained an increase in reading ability with the initial data which the class average reached 76.45 with 77.41% for learning completeness. Whereas in cycle II, the data has increased to 84.67 for the class average and 96.77% for learning mastery. The data in Cycle II have shown the successful implementation of learning that exceeded the required indicators. Therefore, the researcher concluded that the implementation of the KWL (Know, What to Know and Learned) strategy in carrying out the learning process was able to improve students’ reading skills.Keywords: implementation of the KWL (Know, What to Know and Learned) strategy, reading ability
Investigating Job Mismatch in Software Industry through News Big Data

The purpose of this study is to identify issues related to software manpower, which became more important in the era of the Fourth Industrial Revolution in Korea. The results of this study can provide guidelines for those who establish software manpower training policies for solving the software industry’s human resource paradox. As for the research method, the quantitative text network and qualitative analyses from industry experts were used to interpret the results. A total of 14,752 news data mentioning software manpower were extracted, and data pre-processing for the synonyms and negative words were performed. The network was non-directional and consisted of 14,074 words (nodes) and 1,542,383 word combinations (edges). In addition, the network was clustered based on Modularity, and the degree of connection and eigenvector centrality were used to determine the importance of nodes. The analysis of the results showed that the government’s efforts through the Korean Ministry of Science and ICT were vital in creating jobs that fueled software innovation growth, and that software education was actively promoted to develop software talent. This study had the following implications. It was confirmed that software is making a high contribution to the expansion of business opportunities and job creation in the fields of new technology and software convergence technology. To resolve the software manpower supply-demand mismatch, it is necessary to cultivate high-quality software talent and provide mid- to long-term activities to attract competent human resources. In addition, it is necessary to develop and expand programs that link education and recruitment in terms of public-private cooperation along with government-led investment to strengthen national software competitiveness.
THE INFLUENCE OF STUDENTS' PERCEPTION AND LEARNING DISCIPLINE TOWARDS ENGLISH LEARNING ACHIEVEMENT

The purpose of this research was to determine the influence of students' perception and learning discipline on their school towards English learning achievement, the influence of students' perception towards English learning achievement, and the influence of learning discipline towards English learning achievement. The research method was descriptive survey method, which is a research method that takes a sample from a population and used a questionnaire as a data collection tool. The number of samples were 2 classes from 2 schools, namely the Mulia Hati Insani Warunggunung Private Vocational School, and the Matala'ul Anwar Cibuah Vocational School. The results of this research indicated that: 1) There is a significant effect of students' perception and learning discipline towards English learning achievement at Private Vocational Schools, Lebak Regency, Banten Province. This is evidence by the acquisition of the value of Sig. 0.043 &lt; 0.05 and F count = 8.329. 2) There is an insignificant effect of students' perception towards English learning achievement at Private Vocational School, Lebak Regency, Banten Province, this is evidence by the acquisition of the value of Sig. 0.679 &gt; 0.05 and t count = 0.415. 3) There is a significant influence of learning discipline towards English learning achievement at Private Vocational Schools, Lebak Regency, Banten Province. This is evidence by the acquisition of Sig. 0.038 &lt; 0.05 and t count = 2.869. The result of students’ perception towards English learning achievement is an insignificant effect in this research, due to students’ perception is related to students’ internal and external factors. This factor determines students’ learning outcomes, especially in learning English. Therefore, students’ perception must always be pursued, grown, and maintained by all educator personnel.
Joint Online Optimization of Task Rescheduling and Data Redistribution

&lt;p&gt;Wide-area distributed computing environment is the main platform for storing large amounts of data and conducting wide-area computing. Tasks and data are jointly scheduled among multiple computing platforms to improve system efficiency. However, large network latency and limited bandwidth in wide-area networks may cause a large delay in scheduling information and data migration, which brings low task execution efficiency and a long time waiting for data. Traditional works mainly focus on allocating tasks based on data locality or distributing data replications, but optimizing task allocation or data placement alone is insufficient from a global perspective. To mitigate the impact of large network latency and limited bandwidth on system performance, joint online optimization of task rescheduling and data redistribution is proposed in this study. The task allocation and data placement can be adjusted collaboratively during the system running process through the task stealing and backfilling mechanism and the data replication placement mechanism. The experimental results indicate that compared with the state-of-the-art method, the proposed method improves the system throughput and computing resource utilization by 20.67% and 20.26% respectively, and can significantly reduce the global data migration costs.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Safe and Efficient Delegated Proof of Stake Consensus Mechanism Based on Dynamic Credit in Electronic Transaction

&lt;p&gt;The sector of electronic transactions based on blockchain technology is expanding quickly thanks to the reliability of the consensus mechanism, which offers a new technical path for developing the financial industry. The consensus algorithms cannot support the safety and efficiency required for electronic transaction scenarios as they are right now. We propose an enhanced DPoS algorithm based on dynamic credit (DC-DPoS) to address the aforementioned issue. It has a system for node classification, dynamic credit evaluation, and a consistency algorithm that combines voting and random selection. According to theoretical research and simulated experiments, our algorithm improves security while achieving reduced latency and greater throughput. It presents a fresh thought for enhancing the functionality of the blockchain system while also satisfying the fundamental technical criteria of electronic transactions.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
ANALYSIS OF ENGLISH SPEAKING ACTIVITIES FROM BAHASA INGGRIS THINK GLOBALLY ACT LOCALLY BOOK

Learning a foreign language is very necessary, especially English, which has an important role in the world of education, business, work and others. In learning English, there are four skills that must be possessed by students, namely, speaking, writing, reading, and listening. To master these skills, it is necessary to have methods, media, or others to support these activities. The use of textbooks in learning activities, especially learning English, plays an important role. Therefore, this study aims to investigate the speaking activities contained in the textbook entitled Bahasa Inggris Think Globally Act Locally for the ninth grade of junior high school. The contents of this textbook are described and analyzed using a descriptive-qualitative method. The source of the data for this study was taken from a textbook entitled Bahasa Inggris Think Globally Act Locally for the ninth grade of junior high school. The data that has been collected is analyzed through several stages, namely: (1) grouping the data into types of speaking activities (Acting from Script, Communication Games, Discussions, Prepared Talk, Questionnaires, and Simulation and Role Play), (2) identifying the kinds of speaking activities that are most dominant. The results of this study indicate that in the textbook entitled Bahasa Inggris Think Globally Act Locally for the ninth grade, there are six speaking activities and they are dominated by Prepared Talk speaking activities.
Applying Fuzzy Cognitive Map Based on Structural Equation Modeling for Perceiving the Service Quality and Attributes in Service Industry

&lt;p&gt;This study explores why the business firm survival due to provide the service quality and perceived values since servicescape, waiting experiences and food quality are three major factors that affect customer intentions. Therefore, the most examined restaurant attributes are included physical setting and environment, wait time, and food and service quality in this study. Servicescape positively effects perceived service quality. However, service quality is an overall judgment that a based on the perception of the object in consumer process of customer and can be seen as the result of customer evaluation. Therefore, we analyze data from 396 full-service restaurant diners in Taiwan based on Fuzzy Cognitive Map (FCM) and Structural Equation Model (SEM) to investigate hypothesis and to identify the most relevant decision factors to enhance outcome variables and furthers to help decision makers have a clear picture of affecting factors in the customer behavioral intention. The findings support the model and show that perceived overall service quality and perceived value do exert mediating effects in the relationship between restaurant-related attributes and customer behavioral intention. This study could ultimately contribute to the business firms in service industry to provide decision makers the most desirable outcomes to survival the competitive society.&lt;/p&gt; &lt;p&gt;&amp;nbsp;&lt;/p&gt;
Improving English Vocabulary Using Visual Mnemonic Technique

The purpose of this study is to increase English vocabulary using visual mnemonic techniques for seventh graders of junior high school. Several factors inhibited students from having difficulty memorizing vocabulary, lose motivation to memorize vocabulary and easily forgetting the vocabulary they had learned. This inhibiting factor could be overcome by using visual mnemonic techniques to increase students' vocabulary. This study used Classroom Action Research with a sample of 32 students. The research was conducted at SMP N 2 Kasihan, Bantul. Data was collected by observation, interview, pre-test and post-test with instrument field notes, documentation and tests at the end of each study in the entire cycle. Analysis of research data used quantitative and qualitative descriptive data analysis. The results of the study proved that the increase in the percentage of student scores continues to increase. This can be seen in the acquisition of pre-cycle values to the last cycle. The value obtained from the pre-cycle was only 15.93% then increased in the first cycle to 37.38% then in the second cycle there was an increase again. There was a very good increase to 95.75%, with the average student score in the second cycle was 85.31. The increase in student scores in the second cycle, the targeted presentation was 80% and the student KKM was 75. This level of achievement has proven that visual mnemonic technique helped students of SMP N 2 Kasihan, Bantul in increasing students' vocabulary remarkably.
PERANCANGAN APLIKASI PENJUALAN FROZEN FOOD PADA ARJUNA FOOD BERBASIS JAVA

This study aims to determine the running system, make designs, analyze and test systems, and implement the design of frozen food sales applications on arjuna frozen food based on JavaNetBeans.The research method is R&D.Data collection techniques used are interviews, observation, and conducting relevant literature research.Arjuna Frozen Food sales operations have not used a sales system that supports sales effectiveness and efficiency, sales operations and data storage still use a manual system with paper media which is prone to damage and loss of sales data and has many weaknesses, including flammability, loss, wet exposure.water, not durable, frequent occurrence of recording errors, the absence of data on delivery reports and reports that are still not neatly arranged.The results and conclusions of the study are to find out the information contained in the frozen food sales system in terms of recording data on goods, incoming goods, goods out of stock, sales, and finance according to the company's needs, to design a computerized frozen food sales system that is appropriate and feasible for the company, and knowing the role of the sales system at Arjuna Frozen Food in preparing reports that are more accurate, fast, effective, and efficient.
SISTEM ADMINISTRASI MANAJEMEN ALAT KERJA PADA SITE OPERATION TELKOM KEMANG

Science and technology are growing along with the progress of the era of globalization, this phenomenon directly affects the world of information that is increasingly sophisticated.This research aims to create a system that can analyze and monitor the state of work tools in the form of desktop-based applications that can manage the management of work tools that fast, accurate, timely, relevant, and effective.This work tool management administration system was designed using the SDLC (Software Development Life Cycle) method, as a software development method and was built using Netbeans IDE 8.2 software which uses the Java programming language and MySQL as the database.This research produces a work tool administration system that can help staff warehouse admin and operational division in managing data and managing the use of work tools in a fast and efficient time so as to reduce the risk of work tools being lost or damaged.the process of collecting data on inventory management when using a manual system.
SISTEM APLIKASI INVENTORI DAGING SAPI DI TOKO PUTRA JAYA DAGING BERBASIS DESKTOP

The role of information technology today has helped many human activities both on a small and large scale in various fields.Activities or activities that are assisted by information technology will not be separated from data and information that can be processed to be used as a reference or evaluation of an activity that has been carried out.The purpose of this study is to design a desktop-based information system to support inventory reports at the Putra Jaya Meat Store.In writing this final project, the author will use a qualitative method.The research method used to analyze the application made is observation, literature study, and interviews.The system development method uses the waterfall method.The application is made using netbeans 8.0.2 and a MySQL database, so the results of this study are the creation of an inventory information system using java that can make the process of making inventory reports at the Putra Jaya Meat Shop faster, more precise, and accurate.