Reviewerly/exHarmony huggingface dataset:
Modelling the effect of computation sampling on insight error in computational fluid dynamics scientific simulation

Purpose The purpose of this paper is to collect data from humans as they generate insights from the visualised results of computational fluid dynamics (CFD) scientific simulation. The authors hypothesise the behaviour of their insight errors (IEs) and proceed to quantify the IEs provided by the crowd participants. They then use the insight framework to model the behaviours of the errors. Using the crowd responses and models from the framework, they test the hypotheses and use the results to validate the framework for the speedup of CFD applications. Design/methodology/approach The authors use a randomised between-subjects experiment with blocking. CFD grid resolution is the independent variable while IE is the dependent variable. The experiment has one treatment factor with five levels. In case varying timestamps has an effect on insight variance levels, the authors block the responses by timestep. In total, 150 participants are randomly assigned to one of five groups and also randomly assigned to one of five blocks within a treatment. Participants are asked to complete a benchmark and open-ended task. Findings The authors find that the variances of insight and perception errors have a U-shaped relationship with grid resolution, that similar to the previously studied visualisation applications, the IE framework is valid for insights generated from CFD results and grid resolution can be used to predict the variance of IE resulting from observing CFD post-processing results. Originality/value To the best of the authors’ knowledge, no other work has measured IE variance to present it to simulation users so that they can use it as a feedback metric for selecting the ideal grid resolution when using grid resolution to speedup CFD simulation.
The Relationship Between Users’ Relational Capital and Knowledge Contribution in the Social Q&amp;A Community

The development of Web2.0 technology has promoted the emergence and growth of social Q&A community.The core value of Q&A community comes from the knowledge contribution of community members, and the influence of members' relationship and interaction can be explained by social capital theory.The three dimensions of social capital have different effects on the behavior of knowledge contribution.Among them, there are significant differences in the results obtained by scholars on the dimension of relational capital.Therefore, we argued that there exist other variables between relational capital and knowledge contribution.In this paper, virtual sense of community was included in the model of relational capital and knowledge contribution, and data analysis of valid questionnaires was conducted through SPSS24.0.The research shows that community identity and reciprocity of relational capital have a direct positive influence on users' knowledge contribution behavior, and community identity has a greater influence.The sense of virtual community plays a part of intermediary role between the relational capital and users' knowledge contribution behavior.Community identity and reciprocity affect users' sense of virtual community, and then have a positive impact on users' knowledge contribution behavior.
Approaching Instant Messaging (IM) by Connecting Usage Scenario and User Interaction for More Meaningful Notification

Communication is becoming more open than ever before. Just as the world is faced with a pandemic and people are working more from home, so has our need for instant communication increased exponentially. While instant messaging is actively being researched in a range of domains notification system is a vital element of an effective Human-Computer Interaction (HCI) not just for informing a design and implementation of the interface but also for improved and advanced interfaces. For example, for instant messaging (IM) where a tremendous number of messages through e-mail and mobile instant messaging (MIM) are received often lead to disturbing notifications scenarios to users. The primary goal of this paper is to introduce relevant research questions related to the notification domain and to suggest a new instant messaging (IM) framework to reduce this disturbance, enabling both senders and recipients to be more meaningful. The paper studies notifications from two different perspectives: (i) Usage Scenario: identifying how notification alerts are designed, managed and dealing with effects on people, (ii) User Interaction: discussing meaningfulness of the notification, the value notifications can add to users, and long-term benefits users can get from being notified. The discussion will lead to opportunities for researchers to acquire relevant knowledge, assess the mechanisms of notification and evaluate the current design frameworks.
LEARNING ENGLISH USING "DAMPRAK" GAME IN EARLY CHILDHOOD EDUCATION, BANJARMASIN SOUTH KALIMANTAN INDONESIA

LEARNING ENGLISH USING "DAMPRAK" GAME IN EARLY CHILDHOOD EDUCATION, BANJARMASIN SOUTH KALIMANTAN INDONESIA
Differentially Private Federated Learning

Federated Learning is a way of training neural network models in a decentralized manner; It utilizes several participating devices (that hold the same model architecture) to learn, independently, a ...
PROBLEME IDENTIFICATE ÎN CADRUL PREGĂTIRII JUNIORILOR PENTRU CONCURSURI NAȚIONALE ȘI INTERNAȚIONALE DE PROGRAMARE

In the article it is made an analysis of current situation in preparation of young (junior) students for participation in Informatics national and international competitions. There are identified problems of qualitative preparation and models of solutions for these problems. In the same time there are classified decisive factors in future extension of juniors preparation
Research Guides: Sign up for Text Message Alerts & Notifications: How to Opt In

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Lockdowns and national borders: how to manage the Nepal-India border crossing during COVID-19

As countries are locked down and borders are closed, Radhika Halder (Independent Researcher, Nepal) analyses the implications for such changes on the Nepal-India border, and what questions the epidemic raises about the management of the 1,800km border.
INCREASING ELEMENTARY SCHOOL STUDENT INTENSIVE READING SKILLS BY SPIDERMAN MODEL

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 921-927ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.0323Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Fraud Detection in a Financial Payment System

Many financial payment systems have to face fraudulent activities due to the fast-paced development of the technology. Fraud detection is essential for the proper management of fraud control. It automates the manual checking processes and helps the detection be done conveniently. It is important to research and find ways and means of proper methodologies which will help serve the purpose of fraud detection effectively. Machine Learning Approach becomes more popular and accurate compared to a rule-based approach in this scenario. This paper presents such a performance comparison among a few methods which were tested with a dataset.
Analysis of password protected Document

Nowadays documents are sent through electronics communications channels like email, WhatsApp, telegram etc., in which document protection plays major role. Passwords are used to encrypt the documents of different formats. For these documents, security is based on passwords. In this research paper, we analyzed the encryption process involved in word documents (Procedure involved in document protection). We also discussed various password cracking possibilities and steps involved in the attacks. Also discussed various password cracking tools for analysis of password of doc files and performed salt analysis on the same. We analyzed the randomness of the salt for the same key at different times, with different name and also based on the size of the documents. We focused on John the Ripper (JtR) tool with single mode, word list, and incremental mode to reduce the file and memory complexity of brute force attack. Discussed performance analysis of password cracking based on CPU and GPUs. We analyzed the randomness of the salt for the same key with same document with different time and same documents with different name and size of the documents. We focused on John the Ripper (JtR) tool reducing the file and memory complexity of brute force attacks. Discussed performance analysis of password cracking based on CPU and GPUswith and without writing the dictionaries.
Los Angeles Webdesign

Web Design Los Angeles Style Youll find plenty of Los Angeles website design companies, but you wont find many Galveston website design agencies ...
Subject metadata for humanities journal articles : Indexing consistency between a local repository and an external bibliographic database

Subject metadata for humanities journal articles : Indexing consistency between a local repository and an external bibliographic database
Assessment of Information Security Impacts on Mobile Social Media

This paper proposed an indexed matrix to assess information security risks' impacts on mobile social media to help organisations address security risks effectively and efficiently. It developed and integrated a static social media information security risk model and a dynamic social media information flow model in the mobile environment to investigate the potential security risks in social networks. The pattern of security risks with three levels was identified using cluster analysis. An indexed matrix is also proposed to assess the information security impacts on social media via the relative-weigh quantitative method. The results can help to develop an effective and safe way to transmit information through social media. This research is the first attempt to integrate static information security threats into the dynamic social media information flow processes to assess the information security risk levels by developing a new indexed method. The theoretical and practical implications are presented.
The Effectiveness of Using Animation Movie to Improve Students Writing Skill of Narrative Text (An Experimental Research at The First Grade of SMA Negeri 8 Pandeglang)

AMELIA MUTIARA PENSIH. 152301853.2019. The Effectiveness of Using Animation Movie to Improve Students Writing Skill of Narrative Text (An Experimental Research at The First Grade of SMA Negeri 8 Pandeglang)This research investigated Teaching Writing Narrative Text Using Animation Movie at the first grade students of SMA 8 Pandeglang. The aims of this study were 1) to know the students writing on narrative text in Animation movie 2) to find out the effectiveness of using animation movie in students writing narrative text for the first grade of SMA negeri 8 pandeglang. The method of this research was quantitative method. This research used quasi experimental design with pre-test and post-test.The samples of this research were IPS 5 as experimental class which was taught by Animation Movie and IPA 4 as controlled class which was taught without Animation Movie. Both classes consisted of 25 students. The researcher gave pre-test to both classes before giving treatment and gave post-test after giving treatment. The data obtained from pre-test and post-test were analyzed by using t-test formula to see the effectiveness of using animation movie towards students narrative text. Based on the result, she got score pre-test 64.4 and average score of posttest was 80.4 from experimental class while from control class, the average of pre-test was 56.68 and post-test was 61.28. the result showed that the value of to 12.50 was higher than the value of ttable 2.01 5%. This research showed that the students who used animation movie had better performance in writing than those who had not use animation movie.Keyword: Animation Movie, Teaching Writing, Narrative Text
역사 자료 말뭉치의 보완과 활용 - 언해 자료를 중심으로 -

In this paper, we examined the process of historical Korean language corpus and thought about the limitation of present corpus and future direction. In addition, I have looked at a corner of the process of the Korean lexical system change by examining how the 謗 of the original text has been disputed in various documents as an example of a study using an annotated data corpus arranged side by side with the original Chinese text and the unexamined text.As a way to improve the completeness of the constructed corpus, this paper proposes the following two. The first is to have a physical environment in which anyone who is interested in the document data can access it regardless of the place and the time, and can check the latest version of the corpus text and the high quality picture of the document which is used as the preview directly. The second is to create a system that easily informs the corpus when someone finds an error in the corpus created in the previous environment, corrects corpus after expert review of the collected information, and then periodically updates the corrected corpus. This system should include the release of documents included in the corpus, the retrieval of corpus, and the provision of statistical data.In the future, I hope that a detailed study of the kanji of the original Chinese text and the corresponding vocabulary corresponding to the Chinese text using the parallel corpus of the Korean-translated text will lead to a new chapter in the study of the Korean lexical history.
LibGuides: Library 101: Research Quick Starters

This guide serves as an introduction to Library resources, checkout policies, hours, and research strategies. It provides a starting point for any new or returning students, faculty, and staff interested in starting research with library resources. This page discusses four powerful tools the library offers for starting research projects: EBSCO Discovery Service (EDS), CREDO Reference, JSTOR Text Analyzer, and CQ Researcher
Post Crisis: The Future of Cryptocurrency Against the U.S. Dollar

There have been many economists who predicted prior to the pandemic, a rising surge in the cryptocurrencies in the future if financial activities especially when new entrants start to enter the market.Due to the volatility in cryptocurrencies since its creation in 2009, It is paramount to keep track of this somewhat recent effect on the financial market.Bitcoin, one of the cryptocurrencies was said to be created to mitigate against the effect of the financial crisis of 2008.To some extent, many believed it to have done its job.This study focuses on how the cryptocurrencies have fared against the dollar and what the future holds for it during this coronavirus pandemic.Ofcourse, the crisis might have little effect on mortgage credits, business or broadly, the financial system but due to the rising use and price of the cryptocurrency, it is obvious this might shake or trigger the financial economy.A survey research design was adopted consisting of 50 bank staff in San Angelo, Texas.A mean score rating method was used to analyze the data and the responses, while in addressing the hypothesis, the chi-square was used to test the effect it has had on the dollar.The results showed that the effect of the cryptocurrencies against the dollar might be significantly low in the future.It implies that despite the expected increase in the cryptocurrencies during "lockdown", cryptocurrencies would have little to no effect on the dollar in future since it would still carry a relatively small percentage in future due to its volatility and risk.
LibGuides: Streaming Video Sources: ProQuest/EBSCO Video Resources

This guide is designed to facilitate the search for multidisciplinary streaming videos. Resources include both Dalhousie subscriptions and sources from the open web.
PizzaBox

This paper presents the designing and evaluation of PizzaBox, a 3D printed, tangible food ordering system that aims to differ from conventional food ordering systems and provide an unique experience when ordering a pizza by incorporating underlying technologies that support ubiquitous computing. The PizzaBox has gone through both low and medium fidelity testing while working collaboratively with participants to co-design and refine a product that is approachable to all age groups while maintaining a simple process for ordering food from start to finish. We utilised this artefact to conduct an user study at an independent pizzeria to uncover potential opportunities. We present two of the main themes identified through the discussions: 1) end user engagement (from entertainment to education), and 2) healthy eating and living. We found that our approach could potentially utilise towards promoting a healthier lifestyle as well as an educational tool.
Challenges Encounter on Teachers’ Practice of Using Literary Texts to Teach Reading Skills: Some Selected High Schools in Enbse Sar Mider Woreda

This study aimed to assess challenges encounter the teachers' practice of using literary texts to teach reading skills: in case of Abreha Woatsebeha, Alusha , Segno Gebya,and Debo Secondary school.For this, descriptive survey design and both quantitative and qualitative data analyses approaches were employed.The samples were 38 teachers selected using comprehensive sampling.Questionnaire and semi structured interview were data collection tools.Descriptive statistics (frequency and percentage) was used to analyze the quantitative data and thematic narration for qualitative.The findings of the study revealed teachers' practices of teaching reading skill through literary texts faced challenged by a number of factors.Of which teachers' and students' attitude toward literary texts, lack of experience and preparation, text authenticity, difficulty, length, and large class size, students' motivation, and perception, shortage of time, lack of literary texts in the school, lack of in-service training and supervision are found the major ones.Finally, to meet the needs and interest of the teachers' and students', English language curriculum, syllabus designers, should consider their cultural background, linguistic level, and communicative competences.
KEKERASAN VERBAL DALAM VIDEO MONOLOG AKUN INSTAGRAM @ismaillishtkroo

This research was conducted to describe (1) the types of speech acts, (2) the speech act functions; (3) the types of verbal violence in the monologue video account @ismaillishtkroo. This type of research is a qualitative study using descriptive method. The object of this study is a speech containing verbal violence in monologue and comet video on the Instagram account @ismaillishtkroo. The data taken was analyzed with the following steps: (1) transcribing spoken language in the video into written language, (2) identifying data in accordance with the aspects studied, (3) classifying research data by creating tables based on aspects that are researched, (4) interpreting data, (5) inferring data based on research results. In this study, found the following 3 things. First, the types of speech acts that found are expressive, directive, assertive and commissive. Second, the speech act function found is a contradictory and competitive function. Third, the types of verbal violence found are curse, ridicule, accusations, intimidation, insults, coercion, threats, harassment, curses, and rebuke.
Classification and characterization of traumatic brain injuries at Umeå University Hospital

Classification and characterization of traumatic brain injuries at Umea University Hospital
Dynamic Graph Representation Learning on Enterprise Live Video Streaming Events

Enterprises use live video streaming as a mean of communication. Streaming high-quality video to thousands of devices in a corporate network is not an easy task; the bandwidth requirements often ex ...
An Initial Look into the Computer Science and Cybersecurity Pathways Project for Career and Technical Education Curricula

University of Iowa in 1971, and a Ph.D from Old
Aplicaciones móviles para gestión de procesos académicos en educación superior (AMAES)

Mobile Applications, have become an ideal scenario to academic focused. The aim is to characterize app models in 607 college identify patterns of quantity and functionality. The analysis plan is based on a mixed methodology, with a documentary research, a descriptive analysis, proportion validation and dependency variables. Of 151 apps, Colombia owns 35% of them rather than Spain, Mexico and Argentina. The apps with academic history, subjects, class schedules and notifications will be highly valued by their users.
Web-Based Dashboard for Monitoring Penetration Testing Activities Based on OWASP Standards

Financial Services Authority Regulation concerning Application of Risk Management in the Use of Information Technology by Commercial Banks which requires Banks to ensure information security to maintain which must be done periodically at least once a year. The most popular way to have security is through pentest, to determine an application whether it is safe and successfully passed the pentest, we need a measurement standard, specifically for web applications, the standard commonly used is OWASP. However, OWASP has a very large list of vulnerabilities, so to simplify the process of monitoring the pentest process in an organization we need a tool that can visualize existing vulnerabilities from various applications to be more easily measured, calculated, and monitored during the pentest process. The tool commonly used to present information to managers is a Dashboard. The dashboard produced in this research is the monitoring dashboard of pentest monitoring activities, it is made using the PHP programming language so that it is web-based and uses the OWASP standard until 2017. The system is also capable of displaying application vulnerabilities based on their frequency of appearance.
The Library: Facilities Management, Project Management, Construction Management & Real Estate: Books & Contracts

Surveying, Construction & Project Management subject guide by Leeds Beckett University Library covering books and contracts
When the average model knows best

Ensemble-averaging allows the application of machine learning models on small data sets, enabling more researchers to use machine learning in their work.
People Movement Linkage Based on Path Revision Across Multiple Cameras

This work presents an object-based people motion linkage system, which tracks and records the behavior of each person across multiple cameras. The proposed system includes two phases: path construction phase and path revision phase. The spatiotemporal relationships among cameras are trained by batch-learning procedures, and the appearance model is improved by color calibration for different cameras. When a person moves across cameras, the spatiotemporal relationship and appearance model are used to obtain the correspondence. However, object tracking may be lost due to some unexpected events. We revise the tracking paths by using the backward tracking technique to connect the missed links. Moreover, the trained Hidden Markov Models are further used to reconstruct the normal paths of these objects. In the experimental results, we demonstrate the efficiency of our approach by showing the reconnection of missing paths under different conditions.
Aplikasi Elektronik Data Processing of Making Land Certificates Pada Kantor Pertanahan Kota Payakumbuh

Basically, The Development which of technology influences human activities. Computer is one advantages of technology development which can support quality and quantity of works. By using the computer as one tool in the presentation of information data Especially processing of transaction data on Kantor Pertanahan Kota Payakumbuh supported by MySQL applications can support the speed of data processing as efficiently as possible. Based on Direct survey which and been done in statistic Institution Centre by using Technical interview and learning some related references or literatures. This now system would be implemented and could amount quality of information in order to be useful to the institution.