Reviewerly/exHarmony huggingface dataset:
Estimating transaction cost for cloud-based private ethereum blockchains

Blockchain technology is increasingly being used by several companies in the most varied sectors of the economy. The possibility of having decentralized applications (DApps) allows for the emergence of technological innovations such as cryptocurrencies and decentralized asset tracking applications. Many of these DApps are deployed in the cloud with Infrastructure as a Service (IaaS) payment model, in which the payment is made according to the use of the service. However, it is not simple to estimate the cloud infrastructure costs that a DApp will consume. Furthermore, correctly estimating infrastructure costs is essential to analyze the viability and develop business models for enterprise DApps. This work presents an experience report on estimating the cloud infrastructure cost for an enterprise DApp. To do that, we deployed a private Ethereum DApp, using Proof-of-Authority consensus algorithm, with several different configurations of Amazon Web Services (AWS) EC2 instances and blockchain parameters. We benchmark the transaction processing capacity, CPU and disk usage in each configuration, estimating their maximum capacity and costs. We shared our methodology to measure and estimate those costs and our insights on best configuration practices for reducing costs of deploying enterprise DApps in the cloud.
Measurement of Visibility and Present Weather Detection Using Scattering Technique of Light

A forward-scatter meter measures a small portion of light scattered out of a light beam into a relatively narrow band of scattering angles. The forward-scatter meter measurement is then used to estimate the extinction coefficient; the scattered signal is assumed to be proportional to the extinction coefficient.
The Outcome of Tasting: Assessing and Decision-Making

The outcome of tasting as an embodied sensorial practice is, in the context of the gourmet shop, an assessment. This chapter offers a systematic analysis of the way not only assessments are verbally uttered, but also preceded and accompanied by facial expressions and other incarnated manifestations constituting embodied assessments. These are closely witnessed by the seller observing the customer tasting, and in some cases even anticipated by them. Assessments are a type of outcome of tasting that contrasts with outcomes, like descriptors, characterizing other activities – for example in tasting sessions participants rather search for the best word to express the tasting qualities of the sample. Even when minimal, they both address the quality of the sensed item and its coincidence with personal taste and orient to the embeddedness of the sensorial experience within the local actions and the global activity: assessing often retrospectively responds to a previous offer or proposal of the seller and prospectively orients to the closing of the purchase, in the form of a decision about buying (or not, in the case of negative assessments). Thus, assessments are followed by decision-making and often enable the seller to anticipate the latter. Assessments do not only complete the sensory experience of tasting in an intersubjective way but also demonstrate its relevance for broader activities, which reflexively also shape it.
Introduction to Applied Affective Computing

chapter Introduction to Applied Affective Computing Authors: Leimin Tian Monash University Monash UniversitySearch about this author , Sharon Oviatt Monash University Monash UniversitySearch about this author , Michal Muszynski Carnegie Mellon University and University of Geneva Carnegie Mellon University and University of GenevaSearch about this author , Brent C. Chamberlain Utah State University Utah State UniversitySearch about this author , Jennifer Healey Adobe Research, San Jose Adobe Research, San JoseSearch about this author , Akane Sano Rice University Rice UniversitySearch about this author Authors Info & Claims Applied Affective ComputingJanuary 2022https://doi.org/10.1145/3502398.3502400Published:07 February 2022Publication History 0citation4DownloadsMetricsTotal Citations0Total Downloads4Last 12 Months4Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Teaching Indonesian for other language speakers

Previous studies suggested immersing the language learners in the target language when learning a foreign language. It is, to some extent, difficult to apply because of several factors; therefore, English operates as a medium of instruction in the classroom where the learners have different cultures and different first languages. This study aimed at finding out the use of English as a medium of instruction in teaching Indonesian for foreign language speakers or Bahasa Indonesia bagi Penutur Asing (BIPA). It applied a qualitative design involving a semi-structured interview with three BIPA teachers selected using purposive sampling. The interview data were analysed interpretively. The findings revealed that English was employed when giving instruction, explaining complex concepts and grammar, defining vocabulary, checking the students’ comprehension, and keeping the classroom interaction. However, English was used limitedly because the learners needed to learn and practice the target language.
Future of Affective Computing and Applied Affective Computing

chapter Future of Affective Computing and Applied Affective Computing Authors: Leimin Tian Monash University Monash UniversitySearch about this author , Sharon Oviatt Monash University Monash UniversitySearch about this author , Michal Muszynski Carnegie Mellon University and University of Geneva Carnegie Mellon University and University of GenevaSearch about this author , Brent C. Chamberlain Utah State University Utah State UniversitySearch about this author , Jennifer Healey Adobe Research, San Jose Adobe Research, San JoseSearch about this author , Akane Sano Rice University Rice UniversitySearch about this author Authors Info & Claims Applied Affective ComputingJanuary 2022https://doi.org/10.1145/3502398.3502411Published:07 February 2022Publication History 0citation6DownloadsMetricsTotal Citations0Total Downloads6Last 12 Months4Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Digitalization of Higher Education in Turkey and COVID-19

The trust in education perhaps was higher in earlier times when people had lower literacy rates. Whereas the increased capacity, systems, methodology, techniques of the modern world help education in various ways to be valuable, there seems to be some loss regarding motivation and participation. Thus, education needs to be restructured, functionalized, and repositioned into the digital world specifically due to the COVID-19 pandemic. This research looks at how Turkey’s transition to digital higher education has been reported in newspapers during the COVID-19 pandemic. It also raises concerns about the value of education in the twenty-first century, as well as values re-positioned in a digital world with modern supply and demand relationships in the context of the learning vs. knowledge dilemma. To collect data for this study, qualitative and quantitative methods were used to focus on the cause and effect relationships of educational improvements, as well as negotiation and persuasion mechanisms involving policy decisions and public reactions. The news coverage highlights how educational ideals are changing right before the entire population, and how more participatory education, digital education, and inclusive education permeate all levels.
A Corpus Based Study on the Colligation of The Time Machine

The past 50 years have witnessed huge progress and great evolution in Corpus Linguistics. Corpus Linguistics and colligation have their solid philosophy foundations. Colligation is believed to be the co-occurrence of the node words and abstract grammatical categories; thus, it can be an abstract reflection of certain writing habits in language use. The Time Machine is a famous science fiction written by George Herbert Wells. Through the study of colligation in this science fiction, the author tends to use different writing techniques and typical collocation. The result shows that the attributive clause is widely adopted in the text, followed by the object clause. The flaws of the software CLAWS Tagger are also discovered through the study.
Bibliography

chapter Bibliography Authors: Leimin Tian Monash University Monash UniversitySearch about this author , Sharon Oviatt Monash University Monash UniversitySearch about this author , Michal Muszynski Carnegie Mellon University and University of Geneva Carnegie Mellon University and University of GenevaSearch about this author , Brent C. Chamberlain Utah State University Utah State UniversitySearch about this author , Jennifer Healey Adobe Research, San Jose Adobe Research, San JoseSearch about this author , Akane Sano Rice University Rice UniversitySearch about this author Authors Info & Claims Applied Affective ComputingJanuary 2022https://doi.org/10.1145/3502398.3502412Published:07 February 2022Publication History 0citation1DownloadsMetricsTotal Citations0Total Downloads1Last 12 Months1Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Afterword

As we sit around the table and talk through the journey of the book and sign off the last chapters, the sports news flashes through social media and we are reminded that today is a relatively important one. We check the time, it is 9:30 a.m. on a chilly Autumn morning in Birmingham, UK. It is 30 September 2021, quite an uneventful day, but in the football world, today is no ordinary day. Indeed, bubbling under the surface, this ordinary day has the power to change the course of football history. Today has global significance, as Arsene Wenger an astute mind and esteemed servant of the game, puts forward an FIFA constitutional plan to layout a roadmap for a bi-annual World Cup, which would end an unbreakable convention of a World Cup tournament that has always been on a four-yearly cycle. As with breaking with any habitual norm, there is tension or what psychologist Leon Festinger terms cognitive dissonance. There is vehement opposition to the plans. But there is more at stake here than Festinger's idea of uneasiness of inconsistent beliefs, there is a global political power game that is threatening to split football down the centre.
Recognition for word triplets in complex networks.

To explore the strategy use in associative recognition, we constructed two word-triplet lists to represent the information networks in the real world featured by repetition, co-occurrence, and change. We predicted that word-triplet recognition would depend upon the co-occurrence of repeated context words and nonrepeated unique words within a list, and the word change between two lists. In Experiment 1, we compared the probability of accepting the triplet test trials that consisted of: (a) different numbers of word links between context words and unique words, and (b) context words from same or different lists, and we found that recognition judgments only relied on the retrieval of word links. In the follow-up experiments, we increased participants' awareness of list-membership cues by explicitly informing them of the word change between lists prior to triplet encoding (Experiment 2), and by using self-generated context words from two lifetime periods (Experiment 3). The results suggested that participants might use a strategy based on both the retrieval of word links and list-membership cues, but only if they perceived the between-list word change during encoding. The present research provides new evidence for Transition Theory using the approach of word-triplet recognition. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Applied Affective Computing in Built Environments

chapter Share on Applied Affective Computing in Built Environments Authors: Leimin Tian Monash University Monash UniversitySearch about this author , Sharon Oviatt Monash University Monash UniversitySearch about this author , Michal Muszynski Carnegie Mellon University and University of Geneva Carnegie Mellon University and University of GenevaSearch about this author , Brent C. Chamberlain Utah State University Utah State UniversitySearch about this author , Jennifer Healey Adobe Research, San Jose Adobe Research, San JoseSearch about this author , Akane Sano Rice University Rice UniversitySearch about this author Authors Info & Claims Applied Affective ComputingJanuary 2022https://doi.org/10.1145/3502398.3502409Published:07 February 2022Publication History 0citation4DownloadsMetricsTotal Citations0Total Downloads4Last 12 Months4Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Implementation of Gamification and Augmented Reality using Marker-Based Method (Case Study: TB Silalahi Center Museum)

By utilizing current technological developments, an android application was developed for the TB Silalahi Center Balige Museum with the application of Gamification concepts and Augmented Reality (AR) technology with marker-based methods. The gamification approach was used to provide challenges and rewards since they can encourage someone to accomplish a task, in this case, to find artifact items and information contained in artifact. The utilization of 3D object with a QR Code marker on the artifact also enables the combination of the virtual world and the real world. This application was developed to improve the experience of visitors who come to the Museum, where visitors can carry out activities by playing games and interacting with objects in the museum. The final result of the project is a application with the integration of gamification and storytelling and AR technology. This application was evaluated with the usability testing and user satisfaction reaches 72,23% meaning the application can be used and can well perform its functions.
SmartMagnet: Proximity-Based Access Control for IoT Devices With Smartphones and Magnets

Ubiquitous smartphones can be powerful tools to access IoT devices. Proximity-based access control (PBAC) is needed such that IoT devices only allow data access by legitimate users in close proximity. Traditional smartphone-based authentication techniques do not satisfy the PBAC requirements. This paper presents SmartMagnet, a novel scheme that combines smartphones and cheap magnets to achieve PBAC for IoT devices. SmartMagnet explores a few cheap, tiny commodity magnets which we propose to attach to or embed into IoT devices, as well as the magnetometer and attitude sensor on commodity smartphones. Each legitimate user performs a self-chosen 3D password gesture near the target IoT device with the enrolled smartphone. Then the system server uses the IoT device’s confidential magnet configuration parameters to reconstruct the user gesture from the magnetometer and attitude sensor data submitted by the smartphone. If the reconstructed gesture matches the stored template of the purported user, the smartphone user is deemed legitimate and allowed access to the IoT device. Extensive experiments confirm the high usability of SmartMagnet and its strong resilience to lost/stolen smartphones and also remote attacks via signal relaying.
Emerging eHealth IoT Applications

In developing countries like India, healthcare facilities are still not regulated properly throughout the country, and if available and well regulated, they are unaffordable to a huge section of society, which affects the overall health index of the country. Many remote villages do not have even primary healthcare infrastructure. Because India is such a large democracy—with an approximately 1.38 billion population—it is a complicated and tedious task to regulate and monitor all healthcare facilities throughout the country and gather data in a centralized manner. To come up with the solution, this chapter will show how the health of the county can be monitored remotely but effectively by the government using Internet of Thing s(IoT)-based healthcare kiosks. IoT has already penetrated deep into the medical and healthcare sector, now referred to by a new term, Internet of Medical Things (IoMT). These kiosk healthcare systems have the potential to change the healthcare infrastructure of the country by making services accessible to the poorest, neglected, or remote sections of the country. On the advancement of this system, it could also be used to diagnose patient illnesses and offer basic solutions on the preliminary basis that we will discuss in detail in this chapter.
Simulation and validation of qubits based on Phase estimation algorithm

After the advent of Quantum Physics, new opportunities were created for research and development in the world of science and technology.Quantum computation is one such emerging technology which allows for notable speed-ups compared to conventional computational methods.Here a quantum bit simulator is presented.This simulator is an engineering work, and no deep understanding of quantum mechanics is required from the user.The well-known phase estimation algorithm is presented using this simulator.The qubit simulator will be a useful tool for the study of quantum computer circuits, quantum computing, and the development of new quantum algorithms
Issues of online degree program quality assessment and professional accreditation

The paper focuses on some of the most important aspects of providing online degree programs, as well as the criteria that should be used for professional accreditation of such programs.
Transformation of Universities during the COVID-19 Pandemic

AbstractThe COVID-19 pandemic has significantly changed the lives of people around the world. Influencing each person, the coronavirus has violated all socio-economic relations, breaking seemingly stable life models. The most sustainable social institution in times of any change is the education system which needs to be capable of successfully facing any social transformations.This chapter will offer insights that may be helpful for rethinking the place of the university in a civic society during the pandemic. The expansion of university teachers’ functions in the formative ideology “New normal” from the point of view of human-oriented priorities of higher education is justified and explained. The importance of university teachers in the implementation of the “third mission of the university” (social participation, intergenerational component, health conservation, cultural diversity, etc.) is revealed. Since the success of the university in the new operational format depends to a great extent on the qualification of teachers, universities hastily and without sparing resources organized teachers’ retraining programs; in fact, a total system of “re-education of educators” has unfolded.Interpreting the results of surveys of university teachers and students in Russia in the light of the COVID-19 pandemic, the authors point out the relevance of digital formats, software products and the implementation of learning technologies in the university setting. Moreover, a network of intermediate forms of virtual involvement of “clients” in university education has arisen: webinars for the public and the local community, consultations with firms and public organizations, etc.In the opinion of the authors, COVID-19, having served as a catalyst for many transformations in higher education, made it possible to solve overdue problems and strengthen the role of universities in the development of the world order of regions and countries where the university acts as a stronghold of society, offering the highest good – education and the humanities.
Ways to Get Your Publications Read

Nonprofit Communications ReportVolume 20, Issue 3 p. 2-2 Give Attention to Readership Ways to Get Your Publications Read First published: 07 February 2022 https://doi.org/10.1002/npcr.31892Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume20, Issue3March 2022Pages 2-2 RelatedInformation
Reinforcement Learning and Affective Computing

chapter Reinforcement Learning and Affective Computing Authors: Leimin Tian Monash University Monash UniversitySearch about this author , Sharon Oviatt Monash University Monash UniversitySearch about this author , Michal Muszynski Carnegie Mellon University and University of Geneva Carnegie Mellon University and University of GenevaSearch about this author , Brent C. Chamberlain Utah State University Utah State UniversitySearch about this author , Jennifer Healey Adobe Research, San Jose Adobe Research, San JoseSearch about this author , Akane Sano Rice University Rice UniversitySearch about this author Authors Info & Claims Applied Affective ComputingJanuary 2022https://doi.org/10.1145/3502398.3502405Published:07 February 2022Publication History 0citation2DownloadsMetricsTotal Citations0Total Downloads2Last 12 Months2Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access