Reviewerly/exHarmony huggingface dataset:
Utilization and Effectiveness of Computer Network to Support Productivity at Politeknik Pelayaran Surabaya

In the implementation of learning and operational parchment, the need for an adequate computer network is a must and a fundamental need. Technology in the current era already covers all aspects of life. To support office activities and lectures, the teaching and learning process and other supporting processes have used information technology as a backbone and means of communication. Poltekpel Surabaya has implemented various applications both in office and learning processes, examples of applications are: SIAKAD Application (Academic Information System), SiPopeye Online Registration Application, P3M application and other application applications. The quality of the Surabaya Shipping Polytechnic network can be seen from the Quality of Service (QoS) network with parameters, namely, average Troughput: 164.92 Mbps, with an average packet loss: 12.75% and an average delay: 2.97 ms. With data retrieval as much as 12 times
Applications of Consortium Blockchain in Power Grid Security: A Systematic Review

With the development of the power industry, the security of the power grid has become a top priority. In recent years, blockchain technology has been proposed as a solution to the security problems of power grids. Specifically, the use of consortium blockchain technology can help solve issues in the power grid. In this paper, we first introduce consortium blockchain technology and then analyzes the security problems faced by power grids. Furthermore, we propose four possible applications of consortium blockchain technology in the power grid sector to address those security issues. Finally, we discuss the advantages and challenges of using consortium blockchain technology in the power grid sector.
VPBFT: Improved PBFT Consensus Algorithm Based on VRF and PageRank Algorithm

The PBFT consensus algorithm is widely used in the blockchain consensus, but its algorithm complexity is high and there are performance limitations. At present, the research on the supervision of the production and manufacturing process of power transmission and distribution equipment using blockchain technology lacks detailed system architecture design and function realization. This paper proposes an improved PBFT consensus algorithm VPBFT based on verifiable random function and weighted PageRank algorithm, which has better performance than PBFT. Then we implemented a power transmission and distribution consortium blockchain supervision platform and applied VPBFT to it.
A Distributed, Penetrative and All-Dimensional Supervision Architecture for Consortium Blockchain

Consortium blockchain has been used widely in the field of bank, insurance, securities, commerce association and enterprise. However, the supervision for consortium blockchain faces serious challenges: Firstly, due to the sealied feature of consortium blockchain, it should build up the effective and robust computation mechanism for distributed supervision between various platforms; Secondly, due to the sensitivity of supervision data, data transmission between various platforms introduces the asset privacy disclosure and equity losses. In addition, due to the heterogeneity of supervision data, it should build up an effective data access and management mechanism. To overcome these challenges, we propose a novel supervision architecture for consortium blockchain. Specifically, first, we build up a federal-learning-based distributed supervision computation system, which leverages the committee mechanism and sharding to enable the highly robust and efficient computation mechanism for supervision data. Second, we build up a zero-knowledge-proof- based penetrative cross-chain evidencing method, which leverages the attribute encryption, Merkle tree and authorization hiding method to enable the highly reliable data transmission mechanism for consortium blockchain. Third, we build up an all-dimensional data access and management method, to enable the highly effective supervision data extraction for consortium blockchain. In summary, we propose a consortium-blockchain-oriented distributed penetrating and all-dimensional architecture, which satisfies the cross-organization supervision demand in consortium blockchain supervision.
Structural Model of The Image of a Modern Teacher

The article substantiates the importance of the activities of a modern teacher in solving existing problems in the field of education. Scientific and practical approaches to a comprehensive analysis of the educational environment, the modern image of a teacher and the conditions of learning and development are presented. made it possible to develop mechanisms for creating a structural model of pedagogical activity. Explanations and meanings of some terms are given. The requirements for a teacher are determined not only by the great importance, but also by the rare originality of pedagogical activity. A teacher is a special profession. These are the people who are always in sight; students, colleagues, and parents are next to them
Adaptive fringe generation with OBB and homography transform for various objects

In the fringe projection profilometry (FPP), traditionally, no clear mathematical expression was developed to design the sinusoidal fringe patterns for various objects. For this reason, we present an adaptive algorithm to generate the optimum fringe patterns with an oriented bounding box (OBB) and homography transform. Firstly, the features of various objects, which are segmented with deep learning network Mask R-CNN, are represented by the spindle orientation and length of the OBB. Secondly, the adaptive fringe patterns in the field of view of a camera are generated by the fusion with the OBB and the mathematical expression of conventional intensity fringe patterns. Finally, the fringe patterns in the field of view of a camera is transformed into the in the field of view of a projector by homography. Experiments have been carried out to validate the performances of the proposed method.
Rearranging Inv Message in the Bitcoin to Construct Covert Channels

Covert channels aim to conceal the communication behaviors and are widely applied to transmit sensitive data. Blockchains are well-suited for building state-of-the-art covert channels due to their decentralization property. Most existing blockchain-based covert channels require the sender to create transactions. Creating transactions requires a fee, and transactions with covert information are permanently stored on the blockchain. Implementing such methods needs a high cost, and the on-chain covert information faces the risk of being exposed. In this paper, we first propose a Bitcoin-based covert channel that rearranges the transaction hashes in Bitcoin inv packets. To improve undetectability and transmission efficiency, we further propose a dynamic channel link scheme and a method for establishing channels with multiple receiving nodes. The dynamic channel link scheme provides the ability to change the connection between the sender and the receiver at any moment. The multiple receiving nodes method linearly increases the transmission efficiency according to the number of nodes. Theoretical and experimental analysis shows that our scheme is undetectable and has higher transmission efficiency than existing schemes.
Assessment of Heavy Metals Content of Hand Dug Wells in Shasha Market, South Western, Nigeria

The presence of heavy metals in potable water can cause serious health issues when consumed by humans. Hence, the objective of this paper is to assess the of heavy metals content of hand dug wells in Shasha market, Akure, South Western Nigeria were analyzed. The presence of five (5) heavy metals namely Zinc (Zn), Iron (Fe), Manganese (Mn), Cadmium (Cd) and Chromium (Cr) in the water samples were analyzed in the laboratory. Atomic Absorption Spectrometry was used in the heavy metal analysis. The Zn, Fe and Mn contents of the water samples fell within WHO standard for potable water. However, the study revealed Cd contamination in 100% of the water samples analyzed with a range of 0.005 mg/L to 0.013 mg/L as against the WHO maximum permissible limit of 0.003 mg/L for potable water. The results revealed that the concentrations of Cr in all the samples analyzed ranged between 0.021 and 0.10 mg/L with only 20% of the well water samples analyzed having values above the WHO Cr maximum permissible limit of 0.05 mg/L for potable water. Even though the Zn, Fe and Mn contents of the water samples fell within WHO standard for potable water, adequate treatment is required for all the well water samples before human consumption.
The Strategies Applied by English Teachers in Teaching Reading Comprehension: Situation of Post Covid-19 Pandemic

There are many strategies that educators can use to support successful learning in the classroom, especially for teachers of English, with all the preconditions needed for educators to use learning strategies appropriate to students' situations and circumstances that greatly depend on the situation and the problems that arise. Faced with more complex situations, with all the hassle existing in determining learning strategies, the covid-19 pandemic arrived which interrupted the application of learning strategies as students had to stay at home and wiped out the teacher-student interaction for several years after pandemic covid-19 over. By using a qualitative descriptive research method used to analyze events, phenomena, and social conditions that are well suited to what all levels of society and even the whole country are facing, namely the covid-19 pandemic. The results of this study show that The teachers' strategies applied by English teachers in teaching reading comprehension post-pandemic covid-19 is teacher-activated background knowledge of students, reading aloud together, using a dictionary to find the meaning of difficult words, and explaining again the message of the text, the last teacher asked students to answer the question of the text, teachers’ problems in teaching reading comprehension post-pandemic covid-19 the low interest of students to study English, the students making noise in the classroom, and the students being lazy, the teacher’s strategy solved the problems were teachers always motivated students to study hard, especially in English, gave advice to the students who made a noise or when they sleepy, moved the place of students when they made a noise and gave reward to the students who study hard and got high score in the class.
Investigating Teachers’ Use of Code-Switching for Low-Proficiency Students in ESL Language Classrooms: From the Lens of the Students

This study aimed to identify the low-proficiency students’ perceptions towards the use of code-switching in ESL language classrooms. 65 low-proficiency students from SMK Seksyen 7 in Shah Alam, Selangor participated in this study. This study employs a quantitative research design. The data were collected through the 24-item adapted questionnaire. Then, the frequency analysis via IBM SPSS Statistics Version 26 was performed to examine the students’ responses. The finding revealed that the practice of code-switching is widely used by teachers to explain the meaning of words to their students, while students had positively viewed the use of code-switching in ESL learning where code-switching was believed to be a beneficial tool during the lessons. Therefore, the finding may be useful to enlighten policymakers, teachers, and researchers on the issues that are related to the use of code-switching in ESL classrooms.
Enhancing SME Performance in the UAE Services Sector: Challenges and Strategies

Small and medium-sized enterprises (SMEs) operating within the services sector of the United Arab Emirates (UAE) confront significant challenges, including intense competition, limited resources, client acquisition and retention struggles, trend adaptation difficulties, and talent recruitment and retention issues. This paper undertakes an exploration of strategies aimed at overcoming these challenges and fostering growth within the dynamic UAE market. This exploration is facilitated through a comprehensive review of existing literature and the construction of a conceptual framework for empirical validation. By leveraging technology adoption, organizational factors, environmental factors, and social media adoption, SMEs can enhance their service performance. Additionally, this paper sheds light on the intermediary role played by the mediating role of social media adoption in the relationship between technology, organizational factors, environmental factors, and service performance, which has received little attention in previous research.
The Analysis of Mandatory TOEFL Test Policy in University of Muhammadiyah Prof. Dr. HAMKA

Policy analysis is a form of thinking that requires humans or institutions to decide whether or not a policy has been or will be implemented. Policy analysis is also used at University of Muhammadiyah Prof. Dr. HAMKA (UHAMKA) as a reference material in implementing policies by the university. One of these policies is the policy for the TOEFL test in the Faculty of Teacher Training and Education (FKIP) UHAMKA environment. This policy requires students who will take the final exam, either through a thesis trial or through publication, to take the TOEFL test with a minimum score of 450. Because of this policy, this research was conducted to find the urgency of carrying out the TOEFL test for these students. This study uses qualitative research methods that focus on reality or facts that occur to the subject being studied. In addition, the population and sample of this study came from students who had taken the TOEFL test which was held at the Language Laboratory of FKIP UHAMKA. The sample of this study was selected using a purposive sampling technique which put forward certain reasons in selecting the sample. Furthermore, triangulation is used in this study. The triangulation of the data used a questionnaire as well as structured interviews. Then, the data obtained through questionnaires and also interviews were analyzed qualitatively descriptively. The expected results of this study are the urgency of the TOEFL test for students who want to take the final exam, followed by the issuance of a Decree from the Dean of FKIP University of Muhammadiyah Prof. Dr. HAMKA regarding the obligation to have a TOEFL certificate with a minimum score of 450 in the FKIP UHAMKA environment as one of the prerequisites for registering for the final exam, either through a thesis trial or through publication.
Enhancing Business Management Students' English Vocabulary through Quizlet: Exploring Classroom Action Research

The study aims to investigate the effectiveness of MALL application using in the classroom. One of Mobile Assisted Language Learning (MALL) application used is Quizlet. The study employs a Classroom Action Research approach to assess the impact of Quizlet on third semester of Business Management students' vocabulary mastery. The data collection techniques in this research are observation and test. The result of this research show that MALL/ Quizlet contribute to a substantial improvement in vocabulary test scores and leading students to enhance their vocabulary proficiency. The use of technology-based tools like Quizlet not only facilitated self learning but also improved pronunciation and contextual usage of words. The accessibility of devices like stability of internet connections, students self motivation, and effective supervision emerged as critical element impacting the efficiency of Mobile Assisted Language Learning (MALL), particularly the utilization of Quizlet for enhancing vocabulary mastery.
Learning Devices in the Unit of Education

The purpose of this study was to explore the learning tools used in the educational environment. In this study, the researcher used a survey method with reference to research conducted by previous researchers. The object of research being carried out is all learning tools such as effective week analysis, lesson plans, annual programs, semester programs, syllabus, and KKM. Learning tools are very helpful for teachers in carrying out educational programs, especially in teaching and learning activities. Learning tools are something that is very important in an educational unit.
Development of E-Book-Based Arabic Teaching Materials

This study aims to develop a learning product in the form of media in the form of e-book-based teaching materials for Arabic subjects. Through this e-book, students can learn according to the times which are the main needs in today's world of education. The method used by the researcher in this research is the Research and Development (R &amp; D) method, where the ultimate goal is to produce a product for the research site chosen by the researcher and to be able to test the effectiveness of the product. The lack of student interest in learning Arabic causes the student's grades to not reach the agreed target. Researchers hope that the existence of learning products in the form of interactive e-book-based teaching materials can increase students' enthusiasm for learning Arabic. So that students can increase their interest in learning, especially in learning Arabic through the e-book. So, it can be concluded that the learning product in the form of media containing teaching materials can increase the enthusiasm and effectiveness of students in learning, especially in learning Arabic.
BDWatchdogFaaS: A Tool for Monitoring and Analysis of Functions-as-a-Service in Cloud Environment

BDWatchdog is a framework to assist in the in-depth and real-time analysis of the execution of Big Data frameworks and applications. BDWatchdog was originally developed to monitor Hadoop ecosystems deployed on serverless containers, in order to detect bottlenecks and spot certain patterns that frameworks or applications may have. In thisworkwe shift the focus to monitoring serverless functions in the public cloud, by proposing an extension of BDWatchdog which captures, transforms and analyzes logs from both AWS Cloudwatch and Azure Application Insights, which store the logs from AWS Lambda and Azure Functions (respectively), the FaaS (Function-as-a-Service) solutions of the two main public cloud providers, AWS and Azure. The extension, called BDWatchdogFaaS, builds and stores a common model to both providers, allowing to consult, analyze and monitor function logs from AWS and Azure indistinctly. The transformation of logs into the common model is done by a FaaS of the corresponding provider, which in near real-time ingests, processes and sends the data to a common storage. In addition, the data is forwarded to a Power BI dashboard so that the serverless functions can be monitored easily
Evaluating the Readability of English Instructional Materials in Pakistani Universities: A Deep Learning and Statistical Approach

In educational settings of Pakistan, where English is utilized as the primary medium of instruction but not as an official language, the assessment of instructional text readability is crucial. This research investigates the impact of text readability on student comprehension and achievement by integrating deep learning methods with mathematical and statistical approaches. It has been observed that when suitably trained, deep learning models exhibit a significant correlation with human assessments of text readability. The investigation further illuminates the linguistic and structural elements influencing readability. Such insights are instrumental for educators and content developers in establishing standards to craft more accessible educational materials. Emphasis is placed on the exploration of Advanced Natural Language Processing (NLP) techniques, the incorporation of multilingual models, and the refinement of curricular structures to enhance readability assessments. Additionally, the study underscores the necessity of engaging with educational policymakers in Pakistan to implement accessibility guidelines. These efforts aim to reduce linguistic barriers, amplify student potential, and foster an inclusive educational ecosystem. The findings and methodologies presented in this study offer a comprehensive understanding of the challenges and solutions in optimizing English language instructional materials for non-native speakers, with potential applications in diverse multilingual educational contexts.
Coffee Recommender System Using Content-based Filtering

Coffee is a type of beverage that is brewed and made from roasted seeds, or beans from coffee plants. Despite this, there are many coffee drinkers and non-coffee drinkers who do not know much about coffee knowledge. Besides that, there were many cafes that were being affected by the pandemic which caused a business drop. In addition, there are many new cafe owners who do not know much about coffee beans that are suitable to serve their customers. There is a need for a digital method to assist coffee drinkers and café owners either new or old, to receive recommendation about coffee beans that can serve the preferences of avid coffee enthusiasts or specialty coffee service provider. It is important to develop such a recommender system due to the overwhelming variety of coffee available. The goal of this project is to create a recommender system that informs coffee drinkers about various coffee bean varieties based on their personal preferences in coffee and provide a list of cafes that serve speciality coffee in Selangor focusing on Bandar Baru Bangi, Kajang and Serdang. The coffee and beverages that met the users' taste requirements were categorized and presented using this approach. A content-based filtering method that compares items depending on the user's preferences is used to generate the suggestion. In this project, a modified waterfall model of System Development Life Cycle was used to develop the prototype. This system was tested using functionality testing and accuracy testing and showed positive test results and the algorithm of content-based filtering was applied successfully. For future work, further development can be made to propose cafés instead by narrowing down the availability of preferred coffee beans at specific cafes. The recommendation method can also be fine-tuned by exploring the expert system approach in recommendation.
IBAN Language in National Education: Issues and Challenges

The Iban language subject is an additional subject or known as an ethnic language that is taught in primary and secondary schools. This study aims to examine the issues and challenges faced by teachers and students in the teaching and learning process of the Iban language subject in national education. The findings of the study show that there are issues and challenges faced by teachers and students in the teaching and learning of the Iban language, such as the influence of social media on student work, problems of poor understanding in literary learning, feelings of inferiority among Iban language teachers and learning methods. which is influenced by the Iban culture. Therefore, with the disclosure made in this study, it can help those who are directly and indirectly involved in the teaching and learning process of Iban language join hands to ensure that this ethnic subject develops in parallel with the position of other ethnic subjects in the national education system.