Reviewerly/exHarmony huggingface dataset:
Digital Teacher – Student Interaction in Online Training at Medical Universities

Medical education marks a considerable stage in its development, significantly affected by the global Covid-19 pandemic. The introduction of e-learning added new dimensions to the traditional educational process. The aim of the study is to investigate the effectiveness of digital teacher-student interaction during e-learning. A cross-sectional online survey was conducted among 249 university lecturers from two medical universities. The obtained results outlined the shortcomings of online learning, such as the weakening of the teacher-student relationship, the presence of passive participation and weaker responsibility on the part of students in the conducted classes. Positive attitude towards e-learning was shared mainly by lecturers holding higher academic positions, such as 'associate professor' and 'professor', as well as those working in the theoretical educational units, compared to the pre-clinical and clinical departments. Effective interaction between teachers and students is an essential aspect of the quality of the educational process and remains a topical issue in the context of continuing distance learning in medical universities
Synthetic Biology Imaginations for the Biscayne Bay, Florida

This project attempts to reimagine Miami and coastal communities with the advent of climate change and the rise of biotechnology.We develop a speculative vision/plan for the Biscayne Bay estuary that envisions infrastructures that grow by themselves using synthetic biology.In this paper, we elaborate on how Synthetic Biology has evolved to become the fastest growing technology in human history, its potential in the development of large-scale infrastructures, and its impact on the future imaginations of Architecture.
Innovation project – SafeBike

This article presents a student project finalist in the annual competition for the TWENTY-FIRST STUDENT SECTION - US’21 May 15 - 16, 2021. The development is a full-featured model-prototype of an electronic smart device supporting safety when riding a bicycle. It consists of hardware and software implementation.
Acknowledgment to Reviewers of Encyclopedia in 2021

Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Predicting Enterprise-Targeted External Cyber-attacks

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Peran Sistem Informasi dalam Pengelolaan Supply Chain Management dan Aplikasinya di PD. Agro Selaparang Lombok Timur

Agro Selaparang Lombok Timur is a company engaged in supply chain management : drinking water during the period (AMDK), animal feed, iodized salt, and block ice products, as for the objectives of this study, among others: 1) Knowing the supply chain management structure in PD. Agro Selaparang, 2) Analyze information systems (information communication technology, expert support, electronic business processes), used in dealing with suppliers, 3) Identifying how exposure is information systems in supply chain management, problems that occur currently in PD. Agro Selaparang, East Lombok, is a government obstacle such as lack of sanitarian personnel, allocation of funds, inspection of ice block product samples, feed, iodized salt and drinking water in a low AGRO period (AMDK), a burden double work. There are no strict sanctions and a lack of cooperation between sectors, too affects the quality of products that do not meet the requirements, so it affects on the product management process, besides the lack of feed stock due to the company as a distributor. Based on the problems that occur, the role of the system is needed information with supply chain management. The purpose of information systems can be help supply chain management in the company. The research was carried out with a qualitative approach through direct observation, in-depth interviews and documentation. The results showed that in the supply chain management process PD. Agro Selaparang East Lombok uses an integrated information system and one doors, through financial information systems.
Adaptive Training System Model to Improve the Information and Communication Technology Skills of Personnel, Thailand

The objective of the research is to improve an adaptive training system and to study the using model. The present technology is used to support the training and adapt the training content to trainees based on their individual learning abilities. This is quantitative research which sample group is purposive sampling. The adaptive training uses technology called web-based training to create the system that trainees can be self-directed learning and also be on the job training. This advanced technology makes high quality learning at an affordable price. The improvement and finding quality of an adaptive training system for developing information technology and communication’s skill in the research is found that 1) the overall quality of an adaptive training system for developing information technology and communication’s skill to personnel at Srinakharinwirot University is high which mean = 4.75 and S.D. = 0.33. 2) The post-test score of the trainees is higher than the pre-test score with statistical significance at 0.05.
Rastreamento de trajetória de veículo terrestre não linear estocástico multivariável utilizando filtro de partículas

State estimation of stochastic nonlinear dynamical systems has several applications in several areas of engineering. Among these areas, states can be estimated in order to track a mobile object such as autonomous vehicles and mobile robots in a given space. The particle filter can be used for this purpose due to its efficiency and precision in systems with generic characteristics. In this article, an application of the particle filter in tracking a land vehicle with free mobility in a two-dimensional space will be presented. The computational results are analyzed in different process and measurement noise scenarios.
Video Streaming Based on Blockchain State Channel with IoT Camera

This paper proposes a system that provides video streaming services from the Internet of Media Things using blockchain and cryptocurrency (token). The user pays the token by the contract terms of the smart contract written on the blockchain through the distributed application (DApp). The IP camera, which is paid the token, streams the taken video to the user in real-time. To investigate the possibility of a blockchain camera streaming service, we upload a smart contract for streaming service on Etherium-based blockchain, and ERC20 tokens necessary for the transaction are created and implemented. To overcome the slow trading speed and the disability of proper refunding, the off-chain transaction, one of the blockchain scaling techniques, was applied and implemented in the system.
Mountain Climbing: Dyno Fights AAV Vector Immune Response with $100M

GEN EdgeVol. 3, No. 1 Viral VectorsMountain Climbing: Dyno Fights AAV Vector Immune Response with $100MGeorge Church-developed platform for enhanced AI-based capsids attracts up to $4 billion in partnerships with Novartis, Roche, and SareptaAlex PhilippidisAlex PhilippidisSearch for more papers by this authorPublished Online:7 May 2021https://doi.org/10.1089/genedge.3.1.048AboutSectionsView articleView Full TextPDF/EPUB Permissions & CitationsPermissionsDownload CitationsTrack CitationsAdd to favorites Back To Publication ShareShare onFacebookTwitterLinked InRedditEmail View articleFiguresReferencesRelatedDetails Volume 3Issue 1Jan 2021 Information© 2021 by GEN PublishingTo cite this article:Alex Philippidis.Mountain Climbing: Dyno Fights AAV Vector Immune Response with $100M.GEN Edge.Jan 2021.305-310.http://doi.org/10.1089/genedge.3.1.048Published in Volume: 3 Issue 1: May 7, 2021PDF download
A Conceptual Framework for Detecting and Analysing Website Performance Anomalies

Anomalies in website performance are very common. Most of the time they are short and only affect a small portion of the users. However, in e-commerce an anomaly is very expensive. Just one minute with an underperforming site means a big loss for a big e- commerce retailer. E-commerce web site operations are heavily transactional and prone to small, short time failures. Anomalies are sometimes small, and as such, they are not caught by the retailer web operations. However, the customers do perceive these anomalies. This paper highlights the major websites anomalies and formulates a conceptual framework that analyses them.
IMPROVING EARNINGS PREDICTIONS WITH NEURAL NETWORK MODELS

In this paper we develop a generalized deep neural network model to predict quarterly earnings.Using a diverse range of predictors consisting of fundamental, technical and sentiment data the resulting model outperforms existing timeseries models such as the Fama-French 2006 regression model and comes close in prediction accuracy to sales analysts' estimates.This is achieved by handling some known issues in time series models such as seasonality and non-linearity of the earnings while improving predictions with additional explanatory variables that reflect the expectations of the market.Thus, we add to the existing literature a comprehensive and innovative neural network model that provides solutions to known challenges in forecasting and closes the gap between statistical models and sales analysts.
Automated e-Assessment: Students’ Needs and e-Evaluation Solution Possibilities

E-learning is increasingly gaining its usage. In the COVID-19 period, its importance even increased. One of the important e-learning processes is e-assessment. Suitable e-evaluation implementation depends on multiple factors. One of the factors for suitable testing implementation is alignment between users’ needs for a specific purpose testing and its implementation possibilities. Therefore in this paper, we analyze what are students’ needs for e-evaluation system in knowledge level testing and self-evaluation testing cases. Student survey and multi-criteria decision-making were used to find out how students rank different criteria of e-assessment and how linear, graph-based, and tree-based testing structures rank based on these criteria.
The “glocal” elements in the linguistic atlas of Brazil

This article presents aspects of the Projeto Atlas Linguístico do Brasil – ALiB (Linguistic Atlas of Brazil Project) with the purpose of describing its characteristics, highlighting its importance for the knowledge of the Portuguese language in its Brazilian modality, and highlighting cultural aspects related to the type of settlement, the people existing here before the arrival of the Portuguese, and those who were brought here as slaves or came as immigrants in search of new opportunities. In a broader perspective, in presenting the diversified Brazilian linguistic reality, the ALiB contributes to a greater acceptance of these regional variants. This fact demonstrates, from the glocal point of view, one particular aspect of that reality still little explored. Knowledge of this reality tends to reduce the overall relevance of speech standardization. **
Lease Receivables Information System Design: Case Study on PT. X During the Implementation of Work from Home

This study aims to analyze and design a lease receivables system at PT X, a company that offers heavy equipment leasing products to corporate customers.In carrying out its business administration processes, PT X uses a lot of documents, both those provided by the lessee and PT X's internal documents.Manual archiving of physical leasing documents are starting to be less effective due to the working from home provisions applied by PT X.To archive leasing documents, management PT X needs an information system design that can facilitate the archiving of documents appropriately.Then, PT X applies a manual process to the floating interest release process and the calculation of interest income.This research uses a case study approach with qualitative methods.Data were obtained through interview instruments, content analysis, and observation.The FAST (Framework for the Application of Systems Technique) method was used to design the lease receivables information system.The solution offered through this information system design is to provide a centralized information system design needed by company management to archive leasing documents and calculate floating interest rates and interest income regularly.
Morkrets Makter’s Mini-Mysteries

The discussion about Bram Stoker’s possible contribution to Morkrets makter, the Swedish version of Dracula, and about the identity of the anonymous Swedish editor/translator, has reached no definitive conclusions yet. This paper addresses a series of minor mysteries linked to the Swedish variants: the possible connections between the Budapest, the Chicago and the Stockholm serialisations; the use of certain names (Draculitz, Mary Wood, Valentini’s, Zolyva, Koromeszo); references to the Whitechapel Murders and the Thames Torso Mysteries, among others. Although these observations provide no definitive proof regarding the authorship of Mörkrets makter, taken together, they seem to show subtle support for the idea that these Dracula modifications were created entirely in Sweden.
Word Cloud for Online Mobile Phone Tweets towards Sentiment Analysis

People became more eager to express and share their opinions on web regarding day-to-day activities or global issues. Social media contributed a transparent platform to share views across the world. Recently research communities, academia, public and service industries are working rigorously on sentiment analysis also termed as opinion mining, to extract and analyze public mood and views. Data pre-processing is a crucial step in sentiment analysis and selecting an appropriate pre-processing methods can improve classification accuracy. In this paper, we explore the role text pre-processing of online mobile phone reviews towards Sentiment Analysis. Proposed text pre-processing methods remove inconsistent and redundant elements on the collected data to improve classification accuracy. Proposed Pre-processing methods involves removal of punctuations, special characters, digits, escaping HTML characters, decoding data, Apostrophe Lookup, Removal of Stop-words, Removal of URLs, Removal of Expressions. The final pre-processed online review data are presented in the form of word cloud with the frequency statistics of the keywords.
Conclusions and Outlook

A method and its software implementation, that help draw correct and timely conclusions and recommendations based on the analysis of big available textual data, are being on demand and under intensive research and development today. One of the important aspects, that influences the validity of conclusions based on data analysis, is the representativeness of a data sample. The assessment of data representativeness is particularly complex in ontology engineering. In this field, the data are the interpretations of a particular subject domain by the community of knowledge stakeholders in this domain. In this book, this problem was addressed by developing the method to solicit the domain interpretations of the majority of the knowledge stakeholders by extracting terminology from the sample of professional texts describing the domain. The developed method allowed automatically extracting a representative set of terms of minimal size and forming a terminological core sub-collection of documents, of minimal size, that contained all these terms. For that, the notion of terminological saturation as a successive approximation process leading to the terminological core sub-collection for an arbitrary subject domain was introduced. The method for detecting and measuring terminological saturation in document collections was formally developed, implemented in algorithms and software, evaluated, and initially texted in two use cases. The use of this method allows improving the representativeness, efficiency, and effectiveness of automated terminology extraction from the collections of professional high-quality textual documents, like scholarly publications.
Review of Comment Sentiment Analysis Based on Emoticons

Nowadays, social media is becoming more mature, and its comment data form is becoming more diversified.Emoticons are already an element that cannot be ignored in comment sentiment analysis.This article reviews the research of simple text sentiment analysis, emoticons sentiment analysis and text sentiment analysis incorporating emoticons, finding that simple text sentiment analysis is divided in two types: sentiment analysis based on sentiment dictionary method and based on machine learning method; emoticons sentiment analysis can be divided into traditional analysis methods, expression based on middle-level semantics of pictures and deep learning technology.Text sentiment analysis incorporating emoticons is establishing models to calculate scores separately and then getting the emotions, and combining the emoticons as features with text to do the sentiment analysis. Keywords：comment, sentiment analysis, text, emoticons, social media INTRODUCTIONNowadays, with the rapid development of social media, the data on media platforms are not only increasing in quantity, but also becoming more diversified in types.From the text data of the previous unit to the combination of text emoticons.This kind of comment data containing both text and emoticons provides a new perspective for the study of sentiment analysis.Mining the sentiment of such comments will also become the mainstream direction of sentiment analysis in the future.The purpose of this study is to sort out the existing research situation from simple text sentiment analysis, emoticons sentiment analysis and text sentiment analysis incorporating emoticons, and to pave the way for future research on comment sentiment analysis.
Authors’ response

Thank you for your letter regarding our article. The purpose of our study was not to promote the use of aligners over fixed appliances, much less advocate for any specific aligner brand. The sole purpose of our study was to test the efficacy of conventional attachments and compare it with that of optimized attachments in achieving predicted tooth movements. The blog post mentioned in the letter does not seem aimed against the use of aligners, and it does not discuss the accuracy of aligners as a treatment modality. The blog post encourages orthodontists to take control and independently fabricate aligners in-office to avoid dependency on corporate aligner brands. The blog post further states that professional organizations should provide software to support in-office fabrication of aligners by their member orthodontists. In our study, we compared optimized attachments to conventional attachments for the efficacy of tooth movement. Although optimized attachments are unique to Invisalign aligners, conventional attachments are used by multiple aligner companies, and by software used to aid in-office aligner fabrication. The 57.2% mean accuracy reported by our study is based on individual series of aligners for each patient included. As suggested in the last sentence of our article, additional aligners may be needed to get clinically acceptable results. This is in no way meant to persuade readers to lower the standard of care in our specialty; rather, to understand that the need for additional aligners and/or refinements must be anticipated and communicated to patients as part of informed consent when treating with aligners. Finally, the limitations mentioned in the letter are discussed in the original article, along with other variables that may have impacted our data collection and analysis. The change in discourse might change the specialtyAmerican Journal of Orthodontics and Dentofacial OrthopedicsVol. 161Issue 3PreviewIn a September guest post on Kevin O’Brien’s orthodontic blog, Chris Riolo asked: Are we slowly losing control of our profession? ( https://kevinobrienorthoblog.com/are-we-slowly-loosing-control-of-our-profession ). After reading the article by Karras et al in the August 2021 issue (Karras T, Singh M, Karkazis E, Liu D, Nimeri G, Ahuja B. Efficacy of Invisalign attachments: A retrospective study. Am J Orthod Dentofacial Orthop 2021;160:250-8), I had to conclude that the answer to Riolo’s question is yes. Full-Text PDF
THE INFLUENCE OF TECHNOLOGY AS A SUPPORTER OF EDUCATION, ESPECIALLY IN ENGLISH LESSONS

&#x0D; &#x0D; &#x0D; This research aims to find the advances in technology today. Technology has a big influence in the world of education. Today’s sophisticated technology has become something important to influence the teaching and learning process. One of them is in English subject. This is because the use of English is no longer just for greeting, but also for other needs to support an activity. English is an international language, which everyone is required to understand. In the world of education, students’ lack of interest in these subjects makes English lessons increasingly difficult to master. Therefore, assistance using advanced technology is needed to attract the attention of students in the teaching and learning process&#x0D; &#x0D; &#x0D; &#x0D;
Sentiment Analysis of Tweets on Prakerja Card using Convolutional Neural Network and Naive Bayes

The Indonesian government launched the Prakerja (pre-employment) card in the midst of the COVID-19 pandemic, andthe local citizens have voiced their opinions about this controversial program through social media such as Twitter. People’scomments on it can be useful information, and this research tries to analyze the sentiment regarding the Prakerja Card programusing the Convolutional Neural Network and Naive Bayes methods. The main task in this sentiment analysis is analyzing the dataand then classifying them into one of the following classes: positive, negative or neutral. Naive Bayes is an algorithm that is often usedin sentiment analysis research, and the results have been very good. Convolutional neural network (CNN) is a deep learning algorithmthat uses one or more layers commonly used for pattern recognition and image recognition. Having applied these methods, thisresearch found that the CNN model with the GlobalMaxPooling layer is the best model of the other two CNN models. Sentimentanalysis has the best accuracy of 78.5% on the CNN method, and NBC of 76.2% accuracy. The best accuracy result in K-fold withfive classes is 85.4% on the CNN model with a learning rate optimization of 0.00158. While the average accuracy on NBC only reached75.3%
Comparison of maloclusion prevalence in Elementary School children with different economic levels (case study in SDN Inpres Kera-Kera and SDIT Al-Biruni Makassar)

Objective: To determine the comparison of the prevalence of malocclusion between elementary school children with high economic level and low economic level.Material and Methods: The subjects of this study were students of Kera-Kera Inpres Elementary School and Al-Biruni Makassar SDIT.This type of research is a descriptive observational cross-sectional design by purposive sampling to 103 students.Research subjects will be given a questionnaire and then examined the oral cavity and photographs. Results:In this study subjects, the prevalence of malocclusion was higher in Al-Biruni Makassar SDIT (81.4%) compared to the Kera-Kera Inpres Elementary School (63.6%).Statistical analysis of the Mann-Whitney comparison test values obtained p = 0.072 (p> 0.05). Conclusion:There is no significant difference in prevalence between SD Inpres Kera-Kera and SDIT Al-Biruni Makassar.