Reviewerly/exHarmony huggingface dataset:
Vocabulary Teaching by Words Association

Vocabulary Teaching by Words Association The research attempts to assist pupils in enhancing their English vocabulary. The study highlighted an approach for teaching vocabulary by boosting Words Association. It emphasized the importance of memorizing in enhancing pupils' English Vocabulary proficiency. In addition, the study examined the attitudes and behaviors of students towards the use of Words Association in vocabulary instruction. Since the goal of this study is to determine if Words Association is beneficial for Vocabulary Teaching, the study investigated the extent to which Words Association motivates students to participate in their vocabulary recall. The study also studied the impact of Words Association on students' performance on the Vocabulary mastery through Words Association examination. The literature review was centered on the teaching of vocabulary acquisition in an Indonesian context, which was then tied to the memorizing of words through word association. In addition, a qualitative approach was employed through class research. In addition, 32 students from the university's Vocabulary class were selected for the investigation. In addition, the study included a pre- and post-Vocabulary evaluation with the purpose of enhancing students' vocabulary abilities, which were then linked to their perceptions and emotions. This study revealed that Words Association is an effective approach for enhancing vocabulary. However, it firstly come to strengthening student’s memorization through comprehending in context then giving positive result to students’ vocabulary achievement.
Research on Inertial Navigation Technology of Unmanned Aerial Vehicles with Integrated Reinforcement Learning Algorithm

With the continuous expansion of unmanned aerial vehicle (UAV) applications, traditional inertial navigation technology exhibits significant limitations in complex environments. In this study, we integrate improved reinforcement learning (RL) algorithms to enhance existing unmanned aerial vehicle inertial navigation technology and introduce a modulated mechanism (MM) for adjusting the state of the intelligent agent in an innovative manner [1,2]. Through interaction with the environment, the intelligent machine can learn more effective navigation strategies [3]. The ultimate goal is to provide a foundation for autonomous navigation of unmanned aerial vehicles during flight and improve navigation accuracy and robustness. We first define appropriate state representation and action space, and then design an adjustment mechanism based on the actions selected by the intelligent agent. The adjustment mechanism outputs the next state and reward value of the agent. Additionally, the adjustment mechanism calculates the error between the adjusted state and the unadjusted state. Furthermore, the intelligent agent stores the acquired experience samples containing states and reward values in a buffer and replays the experiences during each iteration to learn the dynamic characteristics of the environment. We name the improved algorithm as the DQM algorithm. Experimental results demonstrate that the intelligent agent using our proposed algorithm effectively reduces the accumulated errors of inertial navigation in dynamic environments. Although our research provides a basis for achieving autonomous navigation of unmanned aerial vehicles, there is still room for significant optimization. Further research can include testing unmanned aerial vehicles in simulated environments, testing unmanned aerial vehicles in realworld environments, optimizing the design of reward functions, improving the algorithm workflow to enhance convergence speed and performance, and enhancing the algorithm's generalization ability. It has been proven that by integrating reinforcement learning algorithms, unmanned aerial vehicles can achieve autonomous navigation, thereby improving navigation accuracy and robustness in dynamic and changing environments [4]. Therefore, this research plays an important role in promoting the development and application of unmanned aerial vehicle technology.
HRM in the Digital Era: Exploring the Impact of Technology and Digital Transformation on HRM Practices and Strategies in Somalia

This research explores the impact of technology and digital transformation on human resource management (HRM) practices and strategies in Somalia. In the era of digitalization, organizations in Somalia are increasingly recognizing the need to embrace technology to effectively manage their workforce and stay competitive. The objective of this study is to investigate the adoption and utilization of digital technologies in HRM, understand the benefits and challenges faced by organizations in implementing digital HRM practices, and provide insights and recommendations for effectively leveraging technology for workforce management and organizational success.The research employs a mixed-methods approach, starting with a comprehensive literature review to examine existing studies, theories, and frameworks related to HRM in the digital era. This review highlights the utilization of HR information systems, recruitment platforms, performance management software, and learning management systems as key enablers of efficient and effective HRM processes.Additionally, qualitative interviews are conducted with HR professionals and managers from diverse organizations in Somalia to gain insights into the current adoption of technology, challenges faced, and opportunities realized in HRM practices.The findings reveal that technology and digital transformation have profoundly impacted HRM practices and strategies. The adoption of digital HRM practices offers several potential benefits, including streamlined HR processes, improved data management, enhanced employee engagement, and increased access to talent pools. However, challenges related to digital literacy, data privacy, and resource constraints need to be addressed for successful implementation. Cultural factors also play a role in influencing the adoption and acceptance of digital HRM practices in Somalia.Based on the research findings, it is recommended that organizations in Somalia invest in digital infrastructure, provide training and support for HR professionals, and foster a digital-first mindset across the workforce. Customization and sensitivity to the local cultural context are also crucial for successful implementation of digital HRM practices. By embracing technology and digital transformation in HRM, organizations in Somalia can enhance HRM efficiency, improve decision-making through data analytics, and ultimately contribute to overall organizational success. This research study provides valuable insights into the impact of technology and digital transformation on HRM practices and strategies in Somalia. Keywords: Technology, Digital Transformation, HRM Practices, HRM Strategies, Somalia, Workforce, Organizational Success, Adoption, Training, Organizational Competitiveness. DOI: 10.7176/EJBM/15-15-06 Publication date: August 31 st 2023
Library Utilization and Services at Kota Kinabalu Indonesian School

This study aims to get an overview of services to library visitors at the Kota Kinabalu Indonesian School . This type of research is descriptive quantitative research. Data processing techniques use percentage formula statistical techniques. The research findings show that there is still a lack of collections of library materials because the existing collections are not sufficient to meet students' needs, catalogs and classifications have not gone well so that students have difficulty finding the books they want. Services and guidance to readers in the use of the library provided by librarians have been carried out however, at the stage of using the library as a learning resource in general students have used the library a lot on the students' own awareness.
Research on legal issues of legal digital currency

The research on legal digital currencies in China is gradually deepening and has been tested in multiple regions, with increasingly diverse application scenarios. By comparing and analyzing the similarities and differences between legal digital currency and other virtual currencies, it is concluded that legal digital currency has the characteristics of lower cost, higher security and more conducive to supervision. At present, the implementation of legal digital currency in China will face legal problems such as issuing no legal basis, unclear legal compensation provisions of legal digital currency, easy disclosure of personal information and imperfect anti-money laundering mechanism. The above problems can be solved by clarifying the issuance basis of legal digital currency, stipulating the legal compensation of legal digital currency, improving the user's personal information protection system, and improving the anti-money laundering system.
The Application Research of BIM and IoT Technology Integration in Construction Engineering

BIM Technology is more and more widely used in construction engineering. This paper analyses the application of BIM in the whole life cycle of buildings and the integration framework of BIM and IOT technology. On this basis, it discusses the application of the integration of IOT technology and BIM in smart construction sites and smart city construction. With the continuous development and innovation of emerging information technologies such as IOT technology, the integration of BIM and IOT technology is of great significance in the field of construction engineering.
A Secure Approach for Storing and Using Health Data in a Private Cloud Environment

Cloud computing is an upcoming technology in the field of IT industry. Cost reduction, speed processing, simple accessibility and scalability are the important features of cloud computing. Cloud is robust authentication and more secured technology and it spread in many areas like healthcare sectors in which storing patient information securely more important. The major issues involved in the cloud computing is data confidentiality, data sharing among geographical locations, storing data. This paper provides survey on privacy, security issues and a brief summary about opportunities in cloud. Also it provides a start-up of traditional medical scenario, problems in the current scenario, benefits by adopting cloud in e-health sector and issues arising during adoption of cloud in e-health domain. A methodology of private cloud Iaas is proposed for storing patient and health data in cloud environment.
Automatic Translation From Iraqi Sign Language to Arabic Text or Speech Using CNN

Sign language (SL) is Non-verbal communication and a way for the deaf and mute to communicate without words. A deaf and mute person's hands, face, and body shows what they want to say. Since the number of deaf and dumb people is increasing, there must be other ways to learn sign language or communicate with deaf and dumb people. One of these ways is using advanced technology to produce systems that help the deaf/dumb, such as creating recognition and sign language translators. This paper presents an application that works on the computer for machine translation of Iraqi sign language in two directions from sign language to Arabic language (text/speech) and from Arabic language(text) to Iraqi sign language. The proposed system uses a Convolution Neural Network (CNN) to classify sign language based on its features to predicate the sign meaning. The sign language to Arabic language(text/speech) part of the proposed system has an accuracy of 99.3% for letters. Index Terms—Sign Language, Iraqi Sign Language, Deep Learning, CNN, gtts.
Knowledge Sharing: Antecedent and Consequences Literature Review

Knowledge dissemination is a core component of Knowledge Management (KM) that profoundly influences the efficacy of KM initiatives. Numerous scholarly research underscores the pivotal role of KM and its procedures in affording organizations a competitive advantage. External entities such as consumers, vendors, advisors, rivals, or newly-inducted employees' previous employers can be sources of knowledge. With the increasing emphasis on a knowledge-driven economy, disseminating knowledge has emerged as a high-efficiency organizational behaviour. Rapidly transmitting and sharing knowledge, compared to one's competitors, is perceived as a crucial competitive benefit. This article seeks to consolidate prior research insights regarding the influencers and consequences of knowledge dissemination within firms. This review was orchestrated in a tripartite manner: establishing a review methodology, undertaking the review, and elucidating the review findings. Cultivating a culture that values knowledge dissemination is critical to optimized knowledge management. Earlier research has delved into knowledge dissemination through lenses like technological, organizational, and individual behavioral facets. The precursors to knowledge dissemination encompass Technology, Behavioral and Motivational aspects, Incentive Mechanisms, Organizational Configuration, and Corporate Culture. Evidence-based research implies that knowledge dissemination exerts a spectrum of effects across individual, group, and organizational echelons. At the singular level, it influences efficacy, educational acquisition, innovation, and mental implications. In a group context, it affects group efficacy, innovative tendencies, and the overall environment. On an overarching scale, the knowledge exchange among staff members plays a role in determining organizational outcomes.
ANALISIS TECHNOLOGY ACCEPTANCE MODEL (TAM) PADA APLIKASI E-LEARNING

One of the interesting things to research is how well the use of e-learning as a learning method in higher education. The Technology Acceptance Model (TAM) method is used in this study to evaluate the level of acceptance of e-learning as a learning medium applied in educational institutions.&#x0D; This research is a quantitative research. The population in this study were all students of Universitas Putra Bangsa who had used e-learning-based learning media in lectures. In this study, the sample was taken by purposive sampling. The number of respondents in this study were 100 respondents. Data collection used in this study was by using a questionnaire. While the analysis tool in this research uses multiple regression analysis using SPSS software. &#x0D; Based on data analysis shows that: perceived usefulness has a positive effect on interest in using e-learning, perceived convenience has a positive effect on interest in using e-learning, perceived usefulness and perceived convenience together affect interest in using e-learning.&#x0D; From the results of data analysis in this study, the authors suggest that the Putra Bangsa University institution be able to continue to increase the perception of usefulness and continue to maintain the perception of student ease of use of e-learning learning media.
The Efficacy of the Presentation, Practice, and Production (PPP) Method on the Speaking Skill of the English Learners Community (ELC) Students

This research aims to examine the efficacy of the Presentation, Practice and Production (PPP) method in improving the speaking skills of English learners participating in an English club, English Learners Community (ELC) at an Indonesian Junior High School in Palopo, Indonesia. Drawing on a quasi- experimental design involving into two classes; experimental class by using the PPP method and the control class by means of non- PPP method. The data were collected through pre and post of speaking tests and interviews. The statistical evidence showed that the students in the experimental group outperformed their counterparts in the control group, indicating that the PPP method significantly improved the students’ speaking skills which can be seen through independent sample result where the value was 0.000 which lower than 0.05. The interview result also assumed that students felt comfortable and could understand the material well through the application of the PPP method. This research summarized that the use of the PPP method can improve students' speaking skills. This study recommends that future studies can apply the PPP method to improve students' speaking skills in formal or non-formal classes
Insights into Cultural, Social, and Psychological Factors that Influence Foreign Language Learning

The significance of socio-cultural and psychological aspects in acquiring foreign languages is receiving more attention. Foreign language education has become a significant component of the global academic system, wherein people acquire languages order than their first language in the classroom. Different factors have been analyzed to impact learning a second language in the classroom significantly. This article explores various social, cultural, and psychological factors influencing students’ performance in a foreign language. The focus is to evaluate the impacts of these factors and assess how the participants rate the effects. The study is quantitative, and data was gathered through a structured questionnaire ranked using the Likert Scale. A total of 200 participants were randomly selected for the study, including twenty teachers that facilitated the participation of the students, mainly during the distribution of the questionnaire through digital systems. Analysis was conducted using appropriate statistical tools, such as percentage values, mean and standard deviation. A total of nine social, cultural, and psychological factors were analyzed, including interaction patterns in the classroom, rapport with teachers, lack of motivation, the attitude of learners, general cultural concerns, initiation issues, self-consciousness, fear of making mistakes, and classroom anxiety. These factors exert impact at varying degrees on the learning of English as a foreign language in the classroom. The analysis indicates that psychological factors exert more influence on the students, followed by social factors.
IOT Based Secure Data Storage System Using Cryptographic Algorithm

The cloud computing helps in numerous pathways for the web based service networks. The security of the data and the privacy constraints are the important aspects involved in the cloud computing techniques. Includes the safeguarding the sensitive data with higher precision. This is accompanied with the intelligent cryptographic algorithm to obtain secure data in the cloud system. This helps to save the data through several data processing applications accompanied with the cryptography algorithm. The cryptography algorithm are enabled to obtain encrypt data so that to have secure communication links in the networking system. This helps in the separation of data with the prescribed files in the distributed cloud networks. The operational time is secured by the classification of data in the form of data packets.
Knowledge Management's Effect on Learning Quality in Bahrain's Private Universitie

This study examines the impact of knowledge application, management, and sharing on learning outcomes in private Bahraini universities. Through an online survey of 220 professionals from 13 universities, the study found that knowledge management had the strongest correlation with learning outcome quality. The results support the initial hypothesis and demonstrate the importance of knowledge management for improving performance and promoting organizational innovation in higher education institutions. Knowledge Management (KM) was the most correlated with the learning outcome quality at the 0.01 level. However, all the studys variables had some kind of impact on the quality of learning outcomes variable. The researcher’s initial hypothesis was well-supported with a f2 = 0.94, and the other hypotheses were also supported. The findings showed that there is a strong association between knowledge management and learning outcome quality in Bahraini private universities. The study also revealed that KM substantially affects the learning outcome quality in scholarly settings. This study is important not only for advancing knowledge in this area, but it is also significant from a managerial perspective, as it provides higher education institutions (HEIs) with a better understanding of how to promote organizational innovation and, ultimately, improve performance through engagement in KM activities.
The Effect of Mind Mapping Media on Student Learning Outcomes

This study aims to see the effect of use Mind Map Media (Mind Mapping) on student learning outcomes in social studies class IX at SMP Negeri 1 Lubuk Attitude. This research uses a quantitative approach in the form of Quasy Experiment . The technique used in sampling was purposive sampling , so that the samples were students of class IX.6 (Experimental class ) and students of class IX . 4 (Control class). Data collection techniques in the form of objective questions as many as 30 questions. After obtaining the data, a normality test and homogeneity test were carried out on the learning outcome data, then the t-test was continued . The results of the study show the average value of students who use Mind Map Media (Mind Mapping) that is 77.53 higher than students who use conventional media that is 70.5.
The Effect of Using Chain Writing Method on Students’ Writing Skill of Recount Text at Grade XI of SMA Swasta Daerah Air Joman in 2022/2023 Academic Year

The intended of this study was to gather empirical data regarding the impact of chain writing on students' recount text writing. This study used a quantitative methodology and a quasi-experimental research design. The sample of this research was at the eleven grade students of SMASDA Air Joman in 2022/2023 Academic Year. There were the experimental and the control group. Each group consisted of 30 students. The experimental group was taught with chain writing method while the control group was taught with teacher’s conventional method. A written test was used as the research instrument, and the students' writing on the pre- and post-tests was graded using a writing rubric. According to the calculations, the experimental group's post-test mean scores were 79.13, while the control group's were 74.37. When using an independent sample t-test to test statistical hypotheses, the results showed that, on a scale of 5% significance ( 0.05), t0 was 3.015 and ttable was 2.002, meaning that t0 was greater than ttable. The instrument used in this research was a written test and the scoring of writing rubric was used to score the students’ writing on the pre test and post test. Based on the calculation, the post-test mean scores of the experimental group was 79.13 while that of the control group was 74.37. Then, the result of statistical hypothesis testing by using independent sample t-test found that on degree of significance 5% (α = 0.05), was 3.015 while was 2.002 or &gt; . As a result, Ho was rejected while Ha was accepted. In addition, the Cohen's formulation was used to determine the effect size of the chain writing method, and the result was 0.77. It was discovered that the chain writing method had a moderate effect, and it was possible to conclude that the chain writing method had a significant effect on students' writing skill of recount text at grade eleven of SMASDA air joman in the 2022/2023 academic year.
Cloud Inspired Human Resource Management Empowered with Fuzzy Inference System

Traditional Human Resource Management (HRM) systems face complications in managing various issues related to personnel, organization, salary, attendance, etc. Cloud Computing (CC) provides help in these business applications. This research proposes a Cloud-Inspired Human Resource Management Information System (CIHRMIS) employing a fuzzy logic system. The proposed CIHRMIS, in view of Fuzzy Logic, may help companies accomplish their HRM tasks proficiently, which in turn reduces the cost and increases managerial efficiency. Further, the Fuzzy Logic System performs adaptive activities, which can be used with multiterminal platforms operation, which supplements the application value of the system as well.