Reviewerly/exHarmony huggingface dataset:
Acceptance of Blockchain in Smart City Governance from the User Perspective

A Smart City IT infrastructure can greatly benefit the local businesses and health care providers. The objective of this study is to study the factors impacting users’ acceptance of blockchain technology in smart city governance. This study selects an existing conceptual model as the base of the research and develops hypotheses based on a systematic literature review. This study then proposes a new conceptual model based on the originally selected model and the outcomes from the literature review. A structured questionnaire is designed for the purpose of validating the conceptual model through statistical analysis methods. The questionnaire can be administered alongside a simulation to better engage the participants. The study has identified a total of 16 factors that have potential impacts on user’s acceptance of blockchain technology in smart city government: citizen engagement, social influence, compatibility, perceived ease of use, facilitating conditions, innovativeness, cost reduction, self-efficacy, reliability, perceived trust, perceived usefulness, service quality, energy saving, perceived privacy, human resource, and perceived security. Organizations need to also evaluate their public credit before introducing blockchain-based systems in smart cities, as users may not easily adopt due to a lack of trust. This is where Explainable Artificial Intelligence can play an important role in increasing adoption. If the workings of smart city blockchain applications can be understood and agreed to by the public, then these will better win their trust.
조리교육기관의 서비스품질이 교육만족에 미치는 영향 : 교육프로그램의 조절효과

The purpose of the study is to investigate the effect of the quality of education service on the education satisfaction of the cooking education as the moderating effet of education program. 337 students the course of tomorrow's learning at a cooking education institute in seoul and Gyeonggi Province were analyzed. It was analyzed that the quality of teachers and the physical education environment among education service quality (teacher quality, physical education environment, education service) have a significant effect on education satisfaction, whereas education service has no significant effect on the satisfaction of education. In addition, there is a significant positive moderating effect on education services in terms of the impact of education programs on education satisfaction, but there is a negative moderating effect on teachers' qualifications. However, it was analyzed that there was no moderating effect in the physical education environment. The implications of the study can be further enhanced by providing education programs that are diverse, creative and appropriate for student needs with education services.
Solving Geology Problems Using Python: An Introduction

Chapter 3 allows the reader to start solving geology problems using Python. As a first step, it demonstrates how to import a geological data set and visualize relevant information in binary diagrams. It guides the reader through the design of a simple Earth Science model, and provides a quick overview of spatial data representation.
초등학생들의 ‘계절의 변화’ 단원에 대한 Jigsaw 협동학습이 과제집착력 및 창의적 인성에 미치는 효과

The purpose of this study is to investigate the effect of jigsaw cooperative learning strategy on elementary students’ task commitment and creative personality. This study utilized experimental method of comparing the effect of jigsaw strategy between treatment and comparative group. Twenty four 6th grade students in treatment group experienced the jigsaw cooperative learning for twelve-weeks during 2019 school year whereas students in comparetive group did not. Task commitment and creative personality test result were collected from both groups as main data sources and mixed-method was used to analyze the data. The results of the study were as follows. First, the treatment group students’ task commitment score was significantly higher than comparative group of students’ score(p<.05). Second, the treatment group students’ creative personality efficacy score was significantly higher than comparative group students’ (p<.05). Third, students who experienced the jigsaw cooperative learning-based science lesson had positive perceptions about the lesson.
Pembuatan Video Profile Lulusan Program Sarjana Sistem Informasi Peminatan DKV

The growth speed of technology developments are encouraging information system to develop significantly. One of the example were making videos that can renew a company identity as a form of promotion and visualization needs of a company profile. This article describes the implementation of Job Training (KP) to an agency in the city of Batam, namely Batam International University, namely the Undergraduate Program in Information Systems. Practical work projects were carried out because of the need to renew the form of promotion of the Information Systems Undergraduate Program in the form of introducing graduate profiles. So the authors decided to work together by making a video profile of an information system graduate specializing in DKV. The author will use the Transition technique during the design of the video profile. The output in the form of a video will be distributed via Youtube social media.
MITOSIS: Practically Scaling Permissioned Blockchains.

Scalability remains one of biggest challenges to adoption of permissioned blockchain technologies for large-scale deployments. Permissioned blockchains typically exhibit low latencies, compared to permissionless deployments -- however at cost of poor scalability. Various solutions were proposed to capture the best of both worlds, targeting low latency and high scalability simultaneously, most prominent technique being blockchain sharding. However, most existing sharding proposals exploit features of permissionless model and are therefore restricted to cryptocurrency applications. We present MITOSIS, a novel approach to practically improve scalability of permissioned blockchains. Our system allows dynamic creation of blockchains, as more participants join system, to meet practical scalability requirements. Crucially, it enables division of an existing blockchain (and its participants) into two -- reminiscent of mitosis, biological process of cell division. MITOSIS inherits low latency of permissioned blockchains while preserving high throughput via parallel processing. Newly created chains in our system are fully autonomous, can choose their own consensus protocol, and yet they can interact with each other to share information and assets -- meeting high levels of interoperability. We analyse security of MITOSIS and evaluate experimentally performance of our solution when instantiated over Hyperledger Fabric. Our results show that MITOSIS can be ported with little modifications and manageable overhead to existing permissioned blockchains, such as Hyperledger Fabric.
AN ENHANCED USER AUTHENTICATION FRAMEWORK IN CLOUD COMPUTING

Recently, there are several studies have proposed user authentication frameworks to defend against different types of attacks such as phishing, replay attack, man in the middle attack and denial of service attack, etc. Most of these frameworks consist of three main phases, which are the registration phase, login phase, and authentication phase. Most of them have the changing password process as an additional activity. Many problems have been noticed in the performance of these frameworks. For example, the registration phase is valunerable to internal attack such as SYN flood attack. In this work, we aim to propose a robust user authentication framework that overcomes the previous framework shortages. The proposed framework provides many security aspects such as remote authentication, mutual authentication, session key establishment, to mention a few. Besides, to ensure the security through all phases of this framework, we add a new phase called a Service Access Authentication Phase (SAAP).This phase is resposable of the internal verification .
IMPTCHA: A Creative Image CAPTCHA

Abstract We present IMPTCHA, a new CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) as a security measure to recognize human users. The proposed system uses images instead of distorted text to label images as a valuable output. IMPTCHA is generated from images on the Web. For passing this CAPTCHA, users must type two words for description of two images. When users pass the challenge, the provided meaningful labels are used to determine the content of images. In addition, semantic graphs for labels and images are created and according of it we’ll able to develop an image semantic search engine. Due to usage of images in this system, and its architecture, it is highly secure compared to its counterparts. In a user study involving 60 participants, IMPTCHA’s word accuracy is measured to be 98.18% while 61.26% of users could pass the challenge. Keywords:CAPTCHA, Ontology, Image labeling, Security
Etalon 1.0

Etalon is a manually annotated corpus of contemporary Czech. The corpus contains 1,885,589 words (2,265,722 tokens) and is annotated in the same way as SYN2020 of the Czech National Corpus. The corpus includes fiction (ca 24%), professional and scientific literature (ca 40%) and newspapers (ca 36%). The corpus is provided in a vertical format, where sentence boundaries are marked with a blank line. Every word form is written on a separate line, followed by five tab-separated attributes: syntactic word, lemma, sublemma, tag and verbtag. The texts are shuffled in random chunks of 100 words at maximum (respecting sentence boundaries).
Sistem InFormasi Geografis Donor Darah (SIGDORAH) Menggunakan Pendekatan Togaf ADM

The Blood donation is an activity of taking blood from someone voluntarily to be kept as stock or given to patients in need. Blood donation activities are channeled through the Blood Transfusion Unit (UTD) of the Indonesian Red Cross (PMI) which is engaged in blood donation services for the community in their respective regions. Lack of public awareness of blood donation and ineffective blood donation activities during the pandemic caused the blood stock supply at PMI Sukabumi Regency to be running low and even empty. The purpose of this research is to create a blood donor inFormation system that is equipped with a website-based Geographic InFormation System. GIS is used to store and display inFormation on potential donors in a digital map. This study uses the Togaf Architecture Development Method approach which was developed using the PHP Version 7 programming language, MySQL 3.2.2 database and open source Leafletjs. The result of this research is a website-based geographic inFormation system for blood donors (SIGDORAH).
Library Guides: REDCap at Berkeley: Special Features

This guide has information about REDCap at Berkeley including campus availability, training videos, and how to get help.
A Distributed Data Aggregation For Multi-Relational Classification Algorithms

Classification is a significant data mining undertaking and it has been concentrated from alternate points of view. As of late multi-relational classification calculations have been concentrated because of some true applications. Nonetheless, current work has commonly accepted that all the required data to construct an exact prediction model dwells in a solitary database. Numerous commonsense settings, nonetheless, necessitate that we consolidate tuples from multiple databases to get sufficient information to assemble proper models for the classification task. Such databases are regularly autonomous, and heterogeneous in their schemas and data. In this undertaking, we portray a Heterogeneous Data Aggregation and Integration for Classification (HAIC), a framework for compelling classification from heterogeneous databases. First we tell the best way to consolidate schema matching and structure revelation procedures to discover rough unfamiliar key joins across heterogeneous databases. We then, at that point foster an ensemble development calculation that misuse the joins found naturally across the databases to empower compelling classification across the distributed data, utilizing particular classifiers on more homogeneous areas. Our broad tests more than two certifiable data sets show that our classification framework outflanks single database and its partner multi-database calculations as far as accuracy
The recruitment quality in companies of water and energy sector in central Africa : A lever for sustainable development in Cameroon ?

The aim of this study is to show the contribution of recruitment quality to the sustainable development of companies in the water and energy sector. So, data was collected by a questionnaire from 256 employees. These were analyzed using structural equation modeling. It emerges that recruitment quality partially influences Sustainable Development; because it has a positive and significant impact on environmental performance, and a negative but not significant impact on social performance. In addition, we have found that the introduction of a new recruit is decisive for the social climate quality that will prevail within it. Therefore, employees must be trained on the objectives of the company in its quest for sustainable development. And so, to know what they must undertake as a strategy to achieve these goals.
Research on the Effectiveness of Thenblended Teaching Mode in Modern Chinese Language Course

The blended teaching mode which combines the traditional teaching mode and online learning is more and more recognized by colleges and universities. College teachers keep pace with the times, and constantly explore the teaching law under the new teaching mode in order to better improve the teaching effect. This paper compares and analyzes whether there are differences between the blended teaching mode and the traditional teaching mode, so as to provide the basis for the future teaching reform.
Mediating Role of Organizational Commitment: Hrm Factors Affecting the Employee Performance

This review expects to analyze the effect of human assets, the executives' arrangements on hierarchical responsibility, and the exhibition of the representatives. The review encased the strategies factor as an autonomous variable and the representative's exhibition as a reliant factor. This concentrate additionally plans to explore the job of association, the job of "hierarchical responsibility," as a middle person variable between the arrangements if (HRM) and the exhibition of the worker and to accomplish these points. The specialist has utilized the expressive scientific strategy, which addressed utilizing to check the construction reality of the review factors coming to utilize. The review has closed many outcomes, and quite possibly, the main result is that there is a positive association between human resources, the leaders, and the worker's presentation. The concentrate likewise tracked down an aberrant constructive outcome to the executives' human asset through the association responsibility with the rate higher than the immediate effect; the exploration progressed that all police creators of HRM and result in growing the representative's presentation.
Liberal Arts Online: A Thai College’s Response to the COVID-19 Pandemic

The COVID-19 pandemic has spurred a rapid transition to online teaching and learning. This research investigates the impact of the pandemic on a liberal arts college in Thailand. Data was gathered via email correspondence and interviews with executives at the college. The texts of the exchanges were analyzed using a general inductive approach, and the findings were triangulated with relevant documents. The analysis yielded a series of first-order themes, which centered on the four second-order themes of actively engaging through technology, facing hardship, rebalancing, and education globally. The findings of this research contribute to the body of knowledge on liberal arts, online education, crisis management in higher education, and emergency remote teaching (ERT), providing a snapshot of the college's reaction to a highly complex and evolving situation. This article will be of interest to practitioners and researchers who wish to compare the responses of the college to those of other similar institutions in Southeast Asia, East Asia, and beyond. © 2021 (individual papers), the author(s).
The problems whit contact-tracing apps

As countries look to ease rectrictions and manage second waves of ases, apps are appealing but fraught with issues
Exploring Multitask Learning for Low-Resource AbstractiveSummarization

This paper explores the effect of using multitask learning for abstractive summarization in the context of small training corpora. In particular, we incorporate four different tasks (extractive summarization, language modeling, concept detection, and paraphrase detection) both individually and in combination, with the goal of enhancing the target task of abstractive summarization via multitask learning. We show that for many task combinations, a model trained in a multitask setting outperforms a model trained only for abstractive summarization, with no additional summarization data introduced. Additionally, we do a comprehensive search and find that certain tasks (e.g. paraphrase detection) consistently benefit abstractive summarization, not only when combined with other tasks but also when using different architectures and training corpora.
Desıgn And Development Of Web Based Informatıon System At Harum Snack & Cookıes

Harum Snack & Cookies is a business engaged in culinary snacks that has been running for 5 years. The obstacles faced by Harum Snack & Cookies while carrying out its business activities, there is no web-based information system as a representation in the digital world. This research uses applied research solution that aims to solve practical problems in the modern world. The result of this research is a Website Company Profile. The implementation of this research has had many positive impacts where Harum Snack & Cookies owners feel an increase in sales and new customers
Comparing The Accuracy of Frequentist and Bayesian Models in Human-Agent Negotiation

Understanding an opponent's wants is crucial for maximizing the outcomes of a multi-issue negotiation. To do this, automated systems must build an "opponent model" from information conveyed during a negotiation. Bayesian and frequentist models are the most commonly used. Bayesian models have a principled way to incorporate prior knowledge about an opponent's preferences. However, frequentist models have outperformed Bayesian approaches in practice, dominating the yearly agent-verses-agent negotiation competitions. With growing interest in agents that negotiate with people, this presumed dominance needs to be revisited. Human opponents convey far less information than automated agents, and people often share similar preferences (e.g., in a salary negotiation, most people care the most about salary). Thus, the theoretical advantage of Bayesian approaches may translate into practice for agent-versus-human negotiation. In this work, we compare the performance of Bayesian models against a leading frequentist approach in an agent-versus-human multi-issue salary negotiation. Although we show that frequentist opponent models outperform Bayesian models when using a uniform prior, Bayesian approaches excel when using two common priors. The best performance is achieved with an empirically-derived prior (i.e., biasing the model space using the distribution of preferences found in past human negotiators). Yet, strong performance is also observed when using a "fixed-pie bias", the prior used by most human negotiators. We discuss the implication of these findings for research on human-agent negotiation.
PENGARUH PENERAPAN METODE PEMBELAJARAN DARING BLENDED LEARNING TERHADAP HASIL BELAJAR SEJARAH SISWA KELAS X DI SMK PGRI 2 BANDAR LAMPUNG

The problem with this study is 1) still lacking the results of studying history 2) not yet optimizing Internet use in the success of learners 3) the blended learning online method approach has not been used in study. The purpose of this study is to identify how the use of blended learning online learning methods affected the results of studying the history class X of SMK PGRI  2 Bandar Lampung. The method used in this study is experimental methods, data analysts using statistical formulas, the population in this study is all x class students at SMK PGRI 2 school Bandar Lampung studying year Passes through 5 classes with a total of 109 trainees. From the population is taken 2 classes as a sample that is the TKJ class of 35 students as experiment classes and x MM classes of 26 students as control classes using random sampling techniques. To measure the variable of the author's study using tests, which plural choice as many as 50 over-the-problem items were previously tested as valiant and data analyst realibiliyasnyam was using a simple statistical analyst with t-test formulas. Based on the hypotheses testing of similarities of two on average, using thit came with a value of = 22.62 with the test criteria used is a receipt of  if  Other than   rejections. By taking a real level 5% acquired this means  >  so that  levels were rejected with  of acceptable. Thus it has an impact on the use of blended learning online methods on learning the history class X of SMK PGRI 2 Bandar Lampung  year 2021/2022.
Brand conversation: Linguistic practices on social media in the light of face-work theory [La conversation de marque : pratiques linguistiques sur les médias sociaux selon la théorie du face-work]

The rise of social media has resulted in brand-consumer interaction and more frequent conversations between consumers and representatives. To better understand how this brand conversation occurs, our research employs face-work theory and explores ambivalent consumer perceptions towards linguistic practices. Specifically, our results show how threatening messages (according to face-work theory) can be accepted by consumers, while flattering messages can be rejected. These paradoxical situations can be explained by relationships and the commercial and symbolic status. By identifying the specific features of brand-consumer interactions in the light of face-work, we propose a decision-making tool for management and community management practices.
Pendekatan Belajar Melalui Bermain dan Tahap Pertuturan Kanak-Kanak Prasekolah: Kerangka Konseptual

In this study, researchers used the learning through play approach to identify the effectiveness of improving the speech levels of preschool children. Learning through play is an effective teaching and learning technique for children. Through this technique, children get pleasure and satisfaction in a lesson to be delivered. In addition, by playing, children will master the development and physical skills and mastery of language in terms of vocabulary and grammar rules. Through literature review and theoretical review, a built-in conceptual framework for this study’s foundation was developed. The conceptual framework of this study is based on Piaget’s Cognitive Theory and Chomsky’s Mentalist Theory in identifying the use of learning through play approaches in teaching and learning to improve the speech level of preschool children.