Reviewerly/exHarmony huggingface dataset:
Critical Analysis of Parallel and Distributed Computing and Future Research Direction of Cloud Computing

"Cloud computing" refers to large-scale parallel and distributed systems, which are essentially collections of autonomous. As a result, the “cloud organization” is made up on a wide range of ideas and experiences collected since the first digital computer was used to solve algorithmically complicated problems. Due to the complexity of established parallel and distributed computing ontologies, it is necessary for developers to have a high level of expertise to get the most out of the consolidated computer resources. The directions for future research for parallel and distributed computing are critically presented in this research: technology and application and cross-cutting concerns.
What Can a Generative Language Model Answer About a Passage?

Generative language models trained on large, diverse corpora can answer questions about a passage by generating the most likely continuation of the passage in which the answer to a given question, as appended to the passage, is the most likely continuation of that passage.However, accuracy rates vary depending on the type of question asked.In this paper, we keep the passage fixed, and test with a wide variety of question types, exploring the strengths and weaknesses of the GPT-3 language model.We provide the passage and test questions as a challenge set for other language models.
The Correlation between Social Media Use and Cyber Victimization: A Research on Generation Z in Turkey

Although social media usage has many advantages, it also brings many risks.Anger, hate and bullying actions by individuals are frequently encountered on social media platforms today.Thus, this study aims to determine whether there is a meaningful correlation between social media use and cyber victimization.The cyber victimization levels of the users were investigated using the data of research conducted online with 390 participants (Generation Z) and social media users.The purposeful sampling method was used to select the participants.In the analysis of the data, frequency analysis, pearson correlation analysis and linear regression analysis were performed using the statistical package program.It was found that the frequency of exposure of users to cyberbullying behaviors is low.It was determined that there are significant correlations at p=.01 and p=.05 levels between the independent variables of the sub-dimensions (socializing, obtaining information, sharing, following, and making use of leisure time) of the social media usage scale and the dependent variables of the cyber victimization sub-dimensions (cyber harassment, fraud, sharing and exclusion of private information, and virtual struggle and anxiety).
PENGEMBANGAN MULTIMEDIA INTERAKTIF BERBASIS MACROMEDIA FLASH PADA PEMBELAJARAN TEMATIK TERPADU KELAS IV SEKOLAH DASAR

This type of research is R&amp;D Research (Research and Development). This study uses a 4-D development model, which consists of the stages of definition (define), design (design), development (develop), dissemination (disseminate). The instrument used is expert validation, teacher and student responses. The results of the developed media research show: (1) Interactive multimedia based on macromedia flash on theme 8 sub-theme 2 in elementary school is declared very valid with an average score of 90.6% media experts, experts material 92% and linguists 88%, (2) The responses of teachers and students to the interactive multimedia trial based on macromedia flash 8 on theme 8 sub-theme 2 in elementary school obtained a very practical category with an average value of 92.5% and 88% (3 ) The response of teachers and students to the distribution of interactive multimedia based on macromedia flash 8 on theme 8 sub-theme 2 in elementary school obtained a very practical category with average values of 95% and 82.6% Keywords: Development, Macromedia Flash, 4-D Model
NICE: Neural Image Commenting with Empathy

Emotion and empathy are examples of human qualities lacking in many human-machine interactions.The goal of our work is to generate engaging dialogue grounded in a usershared image with increased emotion and empathy while minimizing socially inappropriate or offensive outputs.We release the Neural Image Commenting with Empathy (NICE) dataset consisting of almost two million images and the corresponding human-generated comments, a set of human annotations, and baseline performance on a range of models.Instead of relying on manually labeled emotions, we also use automatically generated linguistic representations as a source of weakly supervised labels.Based on these annotations, we define two different tasks for the NICE dataset.Then, we provide a novel pre-training model -Modeling Affect Generation for Image Comments (MAGIC) -which aims to generate comments for images, conditioned on linguistic representations that capture style and affect, and to help generate more empathetic, emotional, engaging and socially appropriate comments.Using this model we achieve state-ofthe-art performance on one of our NICE tasks.The experiments show that the approach can generate more human-like and engaging image comments.
PENGEMBANGAN MEDIA PEMBELAJARAN AUDIO VISUAL ANIMASI PADA MATERI PERISTIWA KEBANGSAAN SEPUTAR PROKLAMASI KEMERDEKAAN DALAM MUATAN IPS DI KELAS V SD

The research aims to develop learning media in the form of animation video for grade V elementary school, especially the material on the incident of proclamation, to describe validity of learning media, to know response of user. The research used the method research R&amp;D with ADDIE model. The results of research as follow : (1) the results of the validity test of the instructional media obtained 97,91% with the very good qualification, (2) the results of the validity test of the instructional material obtained 94,44% with the very good qualification, (3) the results of the instructional language obtained 93,75% with the very good qualification, (4) the results of individual trial obtained 93,33% with the very good qualification, (5) the results of small group trial obtained 90,62% with very good qualification. Thus, the audio visual animation media is suitable to use in process of learning.
Impact of Reward and Recognition, Supervisor Support on Employee Engagement

Employee engagement play a key role for the success of any organization because they provides the highest employee satisfaction , lower employee turnover rate , greater employee loyalty, better customer service, higher sales and higher profitability. The aim of this study is to examine the impact of reward and recognition and perceived supervisor support on employee engagement. The method used in research is quantities descriptive. We used questionnaire to collect data. The population in this study consisted of employees of Muslim Commercial Bank &amp; National Bank of Pakistan. Data were collected in Multan from 108 employees but unfortunately 08 questionnaire data rejected because the data was not proper fill. The data were analyzed using through statically package for social science (SPSS Version 21).The results show that reward &amp; recognition and supervisor support can engage employees for better performance. Hence; employee’s engagement can improve through the reward and recognition and supervisor support.
New FPGA design solution using quantum computation concepts

Quantum computer emulators implemented on FPGA are generally designed to illustrate possible applications in which these concepts can be used - as a method of functional testing of possible applications involving quantum computing. In this paper we try to present another possible use of a quantum computation emulator, proposed by the authors, for the synthesis of circuits in FPGA with superior performance to conventional or parallel design methods. The paper presents a synthesis solution of parallel structures based on concepts from quantum computation emulated on FPGA. As will be seen in the paper, using the solution improves the computation time compared to the conventional method and reduces the number of resources allocated compared to the parallel solution. So, the solution which we propose is somewhere between conventional sequential logic circuit design methods - it has a shorter response time than these and parallel circuit design methods - it provides a smaller number of resources than these. In order to show the advantages of the proposed solution, we presented the implementation of a circuit for determining the parity of a binary function. The solution was implemented using the conventional solution, the parallel solution and the proposed solution using quantum computing concepts. It will show the performance of the proposed solution compared to the other design models.
Can WhatsApp facilitate interaction? A case study of adult language learning

Across the globe, people are using smartphones to connect, communicate, and interact with other users. The sheer popularity of Mobile Instant Message (MIM) applications caught scholarly attention in exploring their potential in language learning settings. Chapter 4 investigates the efficacy of WhatsApp use in adult language learning with an aim to examine its affordances and constraints. Following a case study design, online observations and semi-structured interviews were used to elicit data for the study. Participants were adult learners of German in a community college in the UK, who were using WhatsApp over a period of 22 weeks. Chapter 4 places attention on the ways in which members of the group interact (or not) with each other by studying a succession of communicative events. The findings indicate that WhatsApp can afford synchronous (near synchronous), asynchronous, and/or diachronic communication, while its archived nature can enable learners to access previous chat entries retrospectively and decipher what other users had shared without temporal constraints. The analysis points to learners’ reactive participation and limited interaction, which is further discussed in this chapter through a selection of communicative events.
Construction and Simulation of a Strategic HR Decision Model Based on Recurrent Neural Network

In this paper, RNN (Recurrent Neural Network) algorithm is used to conduct an in-depth analysis of HR strategic decision-making and an HR strategic decision model is constructed for simulation. The four evaluation dimensions of index screening are extracted, the generalized gray correlation analysis is applied to screen the initial selection indexes of HR strategic decision-making, and then the HR strategic decision-making index system of power supply enterprises is constructed. On this basis, the applicability of the BP neural network in HR strategic decision-making is analysed and demonstrated, a BP neural network-based HR strategic decision-making model for power supply enterprises is constructed, and the rationality of the model is illustrated through the model training and testing. Finally, an empirical study is conducted with S power supply company as an example to illustrate the operability of the BP network model for HR strategic decision-making. The results of this paper provide a scientific basis for human resource decision-making in power supply enterprises and provide theoretical support for promoting the healthy development of power supply enterprises. Improving the level of human resource management can make fuller use of human resources and realize the strategic goals of the enterprise. A strategy for optimizing the training of hybrid convolutional neural networks is proposed, using an exponential linear unit activation function to solve the problem of neuron dead zones, a hybrid pooling strategy is used to improve the problem of feature information loss in maximum pooling processing, and an improved cross-entropy loss function is used to solve the problem of insufficient learning of difficult classification samples. The optimization of the model training process is finally completed, and the recommendation quality is improved. The Bayesian probability distribution table is learned to be filled in the expert data set; finally, the accuracy and effectiveness of the model are tested on the experimental platform. The results of the experiments show that the established Bayesian model beats the platform’s built-in intelligent method with a 78.2% win rate. That is, the model can make intelligent recommendations for strategies in staffed and unmanned platform decision-making and command-and-control combat units to execute tactical actions to achieve the best operational effectiveness.
Potentials and Limitations of Computer-Mediated Communication Theories for Online Incivility Research: A Focus on Bystander Dynamics

This paper provides a comprehensive review of the five major theories of computer-mediated communication (CMC) in order to explore how each theory can illuminate the processes and effects of contemporary online incivility phenomena on bystanders.These theories include: social presence theory, reduced social cues perspective, social identity model of deindividuation effects, social information processing theory, and hyperpersonal model of CMC.Of these five, this paper gives the most discussion to the first three theories that offer relatively more useful explanations of uncivil and antisocial behaviors in CMC, in terms of contributions of limited nonverbal social cues, and then explicates them with respect to the dynamics of online bystanders witnessing those problematic behaviors.This paper also examines, albeit relatively briefly, why the other theories are less useful but still have potentials for researching online bystanders.Further considerations needed to develop each theory and future research are discussed in the conclusion.
The different uses of the pronoun ‘we’ by EFL teachers in classroom interaction

The pronoun ‘we’ is understood only to refer to the first-person plural. In fact, the pronoun ‘we’ can also refer to other references. The primary purpose of this study is to examine the different uses of the pronoun ‘we’ by EFL teachers in classroom interaction. This study employed a qualitative approach by using three instruments: observation, audio-recorder, and interview in collecting the data. The subjects of this research are two English teachers and the second-grade students at a vocational high school in Makassar. The data were analyzed by formulating Miles et al.’s method of analysis. The result of this study shows that, in classroom interaction, the pronoun ‘we’ can refer to six distinct references: (1) ‘we’ that refers to speaker and more than one addressee, (2) ‘we’ that refers to speaker and more than one-third party, (3) ‘we’ that refers to speaker and indefinite group, (4) ‘we’ that indicates ‘you’, (5) ‘we’ that indicates ‘I’, and (6) ‘we’ that indicates “they”. From the interviews, the researchers found that both teachers have different reasons for using the pronoun ‘we’ in classroom interaction. The first teacher intends to use the pronoun to help him create an enjoyable learning environment and establish better relationships with the students. In contrast, the other teacher uses the pronoun ‘we’ to show politeness to the students. Despite the differences, they both seem to have the same intention of creating a positive learning environment.
Mixed Reality: A Bridge or a Fusion Between Two Worlds?

Virtual heritage (VH) is one of the few domains to adopt immersive reality technologies at early stages, with a significant number of studies employing the technologies for various application themes. More specifically, virtual reality has persisted as a de facto immersive reality technology for virtual reconstruction and virtual museums. In recent years, however, mixed reality (MxR) has attracted attention from the VH community following the introduction of new devices, such as Microsoft HoloLens, to the technological landscape of immersive reality. Two variant perceptions of MxR have been observed in the literature over the past two decades. First, MxR is perceived as an umbrella/collective term for a virtual reality (VR) and augmented reality (AR) environment. Second, it is also presented as a distinctive form of immersive reality that enables merging virtual elements with their real-world counterparts. These perceptions influence our choice of immersive reality technology, interaction design, and implementation, and the overall objective of VH applications. To address these concerns, this chapter attempts to answer two critical questions: (1) what MxR from VH perspective is and (2) whether MxR is just a form of immersive reality that serves as a bridge to connect the real world with a virtual one or a fusion of both that neither the real nor the virtual world would have meaning without a contextual relationship and interaction with each other. To this end, this chapter will review VH applications and literature from the past few years and identify how MxR is presented. It will also suggest how the VH community can benefit from MxR and discuss limitations in existing technology and identify some areas and direction for future research in the domain.
The Impact of Auditors’ Industry Knowledge and Experience on Premature Sign-Offs: Evidence from Jordan

This study aims to investigate the impact of auditors’ industry knowledge (AIK) and auditor experience (EXP) on premature sign-offs (PMSOs) among external auditors. PMSOs is one of dysfunctional behaviours in auditing that eventually affects the audit quality. Audit quality is defined as all audit procedures are satisfactorily performed and stakeholders are not negatively affected with the results of poor audit quality. While the topic of audit quality has received great attention from previous studies decades ago, studies on how AIK and auditor experience affects PMSOs are limited. Therefore, this study examined the effects of AIK and auditor experience on PMSOs. Survey data was gathered from 144 auditors in the Jordanian audit firms. AMOS-SEM was used to analyse the data for testing the hypotheses. Results revealed that AIK and auditor experience negatively affected PMSOs. Based on these findings, this study suggests that to a certain extent PMSOs practices are prevalent in Jordanian audit firms, AIK, and auditor experience are a measure that can be used to reduce the PMSOs practices. Thus, this study provides empirical evidence of the impact factor determining the effect of auditor knowledge in the industry and auditor experience on the dysfunctional behaviour-PSMOs and impact on audit quality. The limitations of this study and recommendations for future research are also provided.
Enhancing Trust in Trust Services: Towards an Intelligent Human-input-based Blockchain Oracle (IHiBO)

As their name suggests, trust is of crucial importance in "trust service".Nevertheless, in many cases, these services suffer from a lack transparency, documentation, traceability, and inclusive multi-lateral decision-making mechanisms.To overcome these challenges, in this paper we propose an integrated framework which incorporates formal argumentation and negotiation within a blockchain environment to make the decision-making processes of fund management transparent and traceable.We introduce three possible architectures and we evaluate and compare them considering different technical, financial, and legal aspects.
From Digital Authoritarianism to Platforms’ Leviathan Power: Freedom of expression in the digital age under siege in Africa

The right to freedom of expression on the internet is under constant siege in Africa due to the actions of States and social media platforms. Many African States have been implementing various authoritarian techniques to trammel freedom of expression in the digital age, including internet shutdowns, repressive national security laws, internet censorship and digital surveillance. Social media companies, on the other hand, exert unbridled power over user-generated contents on their platforms. Their discretionary power to moderate content continues to threaten the right to freedom of expression in Africa. For example, the tug of war between the Nigerian government and Twitter following Twitter’s removal of President Buhari’s speech epitomises how social media platforms are policing free speech in Africa. I argue that African States must end the practice of digital authoritarianism and robustly respect and protect freedom of expression on the internet based on a human rights-based approach in limiting speech. Beyond superficial human rights vocabulary, platforms must also take human rights seriously and ensure that content moderation practices are guided by human rights-based approach.
Timed Dyadic Deontic Logic

In this paper, we introduce TDDL, a timed dyadic deontic logic. Our starting point is a version of a dyadic deontic logic with conditional obligations, permissions, and obligations, and with a “reparation” operator for representing contrary-to-duties and contrary-to-prohibitions. We also consider a sequence operator allowing us to define norms as sequences of individual norms and most importantly with timed intervals, allowing us to express deadlines of norms. We provide a trace semantics capturing both satisfaction and violation of norms and discuss fulfillment of TDDL specifications.
Cyberbullying Detection in Textual Modality

Cyberbullying is the use of technology to harass, threaten or target another individual.Online bullying can be particularly damaging and upsetting since it is usually anonymous and it's often hard to trace the bully.Sometimes cyberbullying can lead to issues like anxiety, depression, shame, suicide, etc.Most of the cyberbullying cases are not revealed to the public and the number of cases reported to the legal system is only few.Certain victims do not reveal their bully experiences out of shame or due to difficult procedures for reporting to the legal system.Our cyberbullying detection system aims to bring cases involving cyberbullying under control by detecting and warning the bully.Such cases are also reported to appropriate authorities, which can then be verified and necessary actions can be taken depending on the situation.The technology stack used for implementation include Flask, Scikit learn, Chat application APIs, Firebase, HTML, Javascript and CSS.The model was tested on classifiers like SVM, KNN, Logistic regression and Random Forest.F1 score was used as a metric to assess the four models.While analyzing the performances of these models, it was observed that Random Forest Classifier outperformed all the models.F1 score of 93.48% was achieved using the Random Forest Classifier.
Secure Data Transmission in C loud C omputing using Message Storage &amp; Retrieval Algorithms

Our economic assets are limited, yet our valuation necessitates seems to be boundless. The requirement meant for valuation remedies continues growing inconclusively, no matter the accessibility of assets, the requirement for further continues. Now the cloud does its job, Cloud Computing (CC) acquires its title as a metaphor for the web. In general, the web is spoken to within the system figure like a cloud. The cloud symbol speaks to the entire so as to further objects to facilitate the system function. Various businesses is being gradually moving to the utilization of CC, since CC vows toward slash functional as well as investment expense also all the further significantly consent to Software sectors center around intentional activities as an alternative of maintaining the information hub operating. Guaranteeing the protection of CC is a key aspect within the CC condition, like clients frequently piles up touchy data through cloud repository suppliers, yet those suppliers might be dishonest. On the way to guarantee the protection as well as rightness of users information within the cloud, this document recommends another pattern on behalf of information safety in CC.