Reviewerly/exHarmony huggingface dataset:
An Experimental Study of The Effectiveness PEOW MODEL Through Applying Quartet Card in Teaching English Writing

This research deals with an experimental research in which aimed to investigate the effectiveness POEW model assisted Quartet Card in teaching English writing of recount text. The population and the sample of this research are the students of SMP Muhammadiyah 01 Medan academic year 2019/20120, on Jalan Demak No. 3, Sei Rengas Pertama, Medan Area. There are seven classes of garde VIII totally 270 students in which there are only 2 classes were taken as the sample of the research. The two classes are taught through two different model, the experimental class is taught through POEW model assisted Quartet Card and the control class is taught through lecturing Model. The essay test is applied for exploring the effectiveness of applying the model and it finally found that tobserve (4.67) was higher than ttable (2.01) with the degree of freedom (df=58). It means that the alternative hypothesis (Ha) was accepted. In conclusion, the POEW model assisted Quartet Card can effectively promote students’ English writing in recount text.
Comparison of Effective area Efficient Architectures for Modified SQRT CSLA

Carry Select Adder (CSLA) is one of the fastest efficient adders which are used in many data-processing processors to perform fast arithmetic functions. CSLA is called efficient adder because of less delay and reduced size. In this paper 16 bit, 32 bit, 64 bit and 128 bit Regular Linear CSLA, Modified Linear CSLA, Regular Square-root CSLA (SQRT CSLA) and Modified SQRT CSLA architectures have been developed and compared. Comparing the Regular Linear CSLA with Regular SQRT CSLA, the Regular SQRT CSLA has reduced area as well as comparing the Modified Linear CSLA with Modified SQRT CSLA The proposed work conveys that it uses a simple and efficient gate-level modification to significantly reduce the area and power of the CSLA. The performance factors of the proposed design are evaluated in terms of delay, area, power and their products by simulation tool and implemented in FPGA kit. The results analysis shows that the proposed modified BEC CSLA structure is better than the regular BEC SQRT CSLA. This paper introduces an unique method that replaces the BEC using common Boolean logic. This paper proposes an efficient method which replaces the BEC using D latch. Experimental results are compared and the result analysis shows that the proposed architecture achieves the three folded advantages in terms of area, delay and power..
Proof of storage for multiuser environment in cloud by using blockchain technology

In the recent times cloud storage strategies have revolutionized the way data is stored, accessed, modified and distributed remotely in drastic ways. Cloud strategies have taken the world of information by storm and we feel the importance of introducing mechanisms to keep these cloud based services both safe but at the same time not lose any of its performance. In this study we examine the various security measures that have been developed by researchers to keep the cloud environment secure and preserve its integrity. We also acknowledge the potential blockchain has demonstrated in the field of security and we thus leverage the blockchain technology to extend its capabilities to cloud based storage. The concepts of data possession and data deduplication are closely investigated from a cloud storage point of view. This paper illustrates the state of art technologies pertaining to blockchain based security and cloud storage, aiming to integrate them to achieve a more efficient storage solution in a multi user untrusted environment.
Optimization of cavity parameters for high-speed quantum computation based on cavity QED

We theoretically derive the optimal parameters of a cavity quantum-electrodynamics system such as the cavity length and the transmittance for achieving high speed quantum computation with low error rates.
A Comparative Study of Facial Recognition Techniques : With focus on low computational power

Facial recognition is an increasingly popular security measure in scenarios with low computational power, such as phones and Raspberry Pi’s. There are many facial recognition techniques available. ...
Annonsspårning för digitala medier : En systemjämförelse för uppföljning av annonskonvertering hos Facebook-annonser

Facebook is today the biggest ads platform in the world. This makes it strategi- cally smart for companies to run their ads on the platform. To follow up the result from these ads is an important p ...
Minding the AI gap in LATAM

research-article Share on Minding the AI gap in LATAM Authors: Barbara Poblete Universidad de Chile and Millennium Institute for Foundational Research on Data, Santiago, Chile Universidad de Chile and Millennium Institute for Foundational Research on Data, Santiago, ChileView Profile , Jorge Pérez Universidad de Chile and Millennium Institute for Foundational Research on Data, Santiago, Chile Universidad de Chile and Millennium Institute for Foundational Research on Data, Santiago, ChileView Profile Authors Info & Claims Communications of the ACMVolume 63Issue 11November 2020 pp 61–63https://doi.org/10.1145/3416969Online:22 October 2020Publication History 0citation2,685DownloadsMetricsTotal Citations0Total Downloads2,685Last 12 Months279Last 6 weeks29 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 Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Audit Tata Kelola Sistem Informasi Pada PT Pegadaian (Persero) Batam Pada Domain PO7, DS1 dan ME4

PT Pegadaian (Persero) is an Indonesian financial sector BUMN that is engaged in goods pawning services. The purpose of the information system governance audit at PT Pegadaian (Persero) Batam Branch is to determine the level of maturity in the PASSION system. the system has been running well and then conducted an audit to find out whether the system used has been efficiently and effectively supporting business processes. This research focuses on performance measurement, and the method used in this study is the Cobit 4.1 framework which contains 3 subdomains, PO7, DS1, ME4. The results of this study the level of information system maturity in the PO7 domain with a value of 2.34, the DS1 domain with a value of 2.37, and at the ME4 domain with a value of 3.54. so the maturity level of PT Pegadaian (pesero) Bengkong Branch information system is an average of level 3 (Defined)
Image Processing Algorithms for Realizing a Seamless Multi-Projection Screen

This is a kind of image processing algorithm in order to realize a seamless video wall and improve the quality of images.
Mobile App protagonist in Covid-19 Pandemic

The world is fighting with the “COVID-19” Pandemic. The government is in continuous effort with many strategies for managing the situation with self-isolation, quarantine zone, carrier connection tracing and awareness of WHO guidelines. To take on this battle, government has imposed a complete lockdown in the entire India. The mobile technology can play an important role to support government and society in this pandemic. This paper emphasizes on different types of mobile applications which are introduced to aware people about corona virus, its impacts, symptoms, precautions and other vital information along with how it can help in such pandemic. This paper will discuss different mobile applications which are created by National Informatics Centre, the governments of Punjab, Kerala, Tamil Nadu, Karnataka and MeitY-Ministry of Electronics and Information Technology with its usage, features and permission parameters for COVID-19 associated society. Keywords: Mobile app, COVID-19, quarantine, monitoring
Italian Verbs Chart + 150 Essential Verbs

Italian Essentials: Verbs Chart + 150 Verbs Conjugating Italian verbs is not fun. And when you’re starting out it can take a ton of concentration. But if you’re feeling intimidated, well… don’t be! We put together a printable chart to help you navigate all tenses and conjugations in Italian. Bonus content: 150 Verbs for everyday conversations
Human Action Detection Using Deep Learning Techniques

The need for automation is exponentially growing in this digital world. The automated detection of human activity has shown profound influence in varied mundane applications in the field of defense, patient monitoring, public security, and computer vision while imparting artificial intelligence. The intent of this work is to analyze the performance of different deep learning algorithms like logistic regression, random forest, decision tree, linear SVC, kernel SVM, and gradient boosted decision tree with grid search for the detection of basic human activities like laying, sitting, standing, walking, walking_upstairs, and walking_downstairs. An experimental set-up made for doing human activity recognition and a comprehensive comparative analysis of results is done. After applying suitable deep learning algorithms, a scrutiny was done by testing the system. The publicly available datasets are used for evaluation of human activity after a significant exploratory data analysis.
Application of Gamification of Qur'an Recitation and Hadith Based Android Using the Scott Method

Memorization is an activity that implements a material in memory, so that later itn can be recalled, in accordance with the original material. One of the memorization activities that children usually do is memorizing the Al-Qur'an and Hadith. The low interest of children to memorize the Al-Qur'an and Hadith makes Ustad / Ustadz confused to increase children's interest in memorizing, this is because children tend to get bored quickly in memorizing the Al-Qur'an and hadith that they have just learned. By adhering to the principle of Gamification, turning activities into interesting games. The concept is there are seven levels of memorization, each level there will be memorization challenges that must be completed by children. Children can go to the next level if they successfully complete the previous level. Each level will be available with Points and rankings if you successfully complete the memorization challenge. So that the application becomes interesting the method used is SCOTT. It is expected that with this application children in carrying out activities to memorize the Al-Qur'an and hadith more fun while playing.
Linking Geographical Vocabularies To Fulfil Information Seeking Needs In The Cultural Heritage Domain

Being able to align concepts from different vocabularies to each other is an important requirement for extracting value from linked data. Vocabulary alignment methods have been studied to a point where relatively straightforward alignments can be generated with a high level of confidence. However, cases remain where the alignment methods fail to generate conclusive results. This paper explores the possibilities of aligning geographical vocabularies using various state-of-the-art alignment techniques, with an emphasis on exploring various disambiguation techniques for when too many mappings are returned. Additionally, the alignments made are utilised in the development of a generous interface to identify to which degree generous interfaces combining metadata from different vocabularies can address challenges relating to information seeking needs in the cultural heritage domain.
Private Classes (QUARTETTO) Children 3

Private Classes (QUARTETTO) Children 3+ 4 students Study 1-on-1 lessons with certified and experienced teachers. Our classes are designed to give kids the chance to focus on vocabulary, pronunciation, and consistently practice speaking in Italian. Any Level, Anytime & Anywhere. Now Online!
Perancangan Sistem Informasi Kesehatan Ibu Dan Anak (KIA)Posyandu Simpati IV Dusun Tenjolaya Kabupaten Sumedang

Posyandu currently has a significant role in supporting public health services. The need for accurate, precise and up-to-date information is increasingly needed along with the increasingly rapid development of information technology, this encourages the public and agencies to take advantage of information technology and use of information systems. The information system is one part of the development of information technology which is needed to help organizational performance. The arrangement of information that is carried out regularly, clearly, precisely, and quickly and can be presented in a report certainly greatly supports the smooth operation of the organization in making the right decisions. However, because the recording was still done manually, the midwife / cadre found it difficult to monitor all activities. For Posyandu Simpati IV, the design in this study is expected to be used as a further reference for Posyandu midwives / cadres to find out MCH information and KIA data management. Testing is carried out by running the system and inputting various inputs for each function and facility owned by the system and seeing whether the output results are as expected or vice versa. The design of the Simpati IV Posyandu Information System makes it easy for midwives / posyandu cadres to manage data on maternal and child health if a system is built. If using a computerized system, Posyandu Simpati IV can easily find out the MCH reports on the development of babies and toddlers so that the parents of the babies will easily know the development of their children and there are reports of children and posyandu reports to the puskesmas.
A Study on Improving Personality Development Education in Korea Polytechnics

This paper investigates how personality education can be improved among technicians in Korea, proposing a methodology for improving personality education of technicians of Korea Polytechnics. The personality education course for technicians is implemented to improve and reinforce the current liberal arts education in Korea Polytechnics. The methodology proposed in this study includes comparing the personality education at Korea Polytechnics with that of other junior colleges. Furthermore, it included selecting the best volunteer club at college, participating in technical volunteer work abroad, awarding best readers at college, and introducing the best teaching program for enhancing student motivation in the English class. Based on the findings of implementing this methodology, the study recommends nine suggestions for improving personality education, drawing on four case studies from two campuses of Korea Polytechnics, Further research is required in this field before implementing these recommendations.
<scp>ASIST AM</scp> 2020. <scp>SIG HFIS</scp> panel proposal April 27, 2020

Abstract A progress report and discussion on the preservation of, and access to, historical resources relating to the history of ASIST and of Information Science and Technology generally and guidance for members interested on opportunities and methods.
A Novel Learning Deep Q Network for Dense Traffic Control

Traffic checking and control, just as traffic recreation, are as yet noteworthy and open difficulties regardless of the critical investigates that have been completed, particularly on modernized reasoning ways to deal with handle these issues. This paper shows a fortificationt Learning way to deal with traffic lights control, combined with a minuscule operator based test system) giving a engineered in any case, a practical condition in which the investigation of the result of the potential guidelines, activities can be completed. The paper presents the methodology, inside the flow investigate scene, at that point the particular test set and accomplished outcomes aredepicted.
LibGuides: Library Skills: How to find an article or journal

If you are new to USW Library, this guide will help and support you to find the information you need with tutorials, video guides and more. This guide is also available in Welsh
Identifying factors impacting entity sentiment analysis: A case study of sentiment analysis in the context of news reports

Abstract Entity sentiment analysis aims to analyze sentiment for a specific entity. As entity sentiment analysis requires the understanding of entities and associated entities, this paper presents preliminary findings from an exploratory analysis of factors affecting entity sentiment analysis in the news report context using a data set of 8,754 paragraphs. An entity coding schema was developed based on grounded theory. The coding result shows that 29% of paragraphs express sentiment directly, and 24% express indirectly. Negative biased entities (towards target entity) may significantly affect the accuracy of entity sentiment analysis. The findings may shed light on future exploration in improving the accuracy of entity sentiment analysis.
LibGuides: Education and Training: Home

Our Education and Training guide can help you find ways to manage your classroom, learn skills for online and face to face instruction, and with resources that focus on STEAM in Early Childhood Education, reading comprehension, and math concepts.
TrueReview: An Objective Product Rating and Ranking Based on User Reviews using AI and Data Analytics

Since the moment human step into the high technology era, the world that people live in has changed subversively. As more and more unprecedented advancement being discovered, modern life of today’s people is now incredibly convenience. However, when the internet has played a pivotal role in everyday life, among the information that we are getting, countless of them are fraudulent. This paper designs a website to filter the influence of fake comments made to the product. We applied our application to the most commonly used shopping platform, Amazon, and conducted a qualitative evaluation of the approach. With a large amount of trained data, the sentiment analysis program can filter the fraudulent and odd comments and to give a more accurate score regarding a product by reading through each comment. This will definitely help consumers determine whether a product is fine or not.
Storing bibliographic data in multiple formats with the <scp>NPDS</scp> cyberinfrastructure

Abstract The PORTAL‐DOORS Project (PDP) aims to develop the Nexus‐PORTAL‐DOORS‐Scribe (NPDS) Cyberinfrastructure as a distributed network of data repositories that communicate with each other using a common message exchange standard. These data repositories include a collection of servers with a system of registries, directories, and diristries for diverse resources including bibliographic information records. Examples of resource metadata representations can be viewed at PDP participating websites. Until now, PDP has not supported convenient import or export of bibliographic records to or from any of the common bibliographic standards. In this report, we describe our progress on our new PDP utilities for interoperability between the format for NPDS records and various bibliographic formats such as BIBFRAME, MARC, RIS, and BibLaTeX. We will detail the import process when using a converter that transforms bibliographic citations in other formats and stores them in an NPDS diristry. Improved interoperability for conversion between bibliographic records in other traditional formats with the NPDS format will support a variety of use cases that require either lexical and/or semantic parsing of cited references.
Neural Networks for Entity Matching.

Entity matching is the problem of identifying which records refer to the same real-world entity. It has been actively researched for decades, and a variety of different approaches have been developed. Even today, it remains a challenging problem, and there is still generous room for improvement. In recent years we have seen new methods based upon deep learning techniques for natural language processing emerge. In this survey, we present how neural networks have been used for entity matching. Specifically, we identify which steps of the entity matching process existing work have targeted using neural networks, and provide an overview of the different techniques used at each step. We also discuss contributions from deep learning in entity matching compared to traditional methods, and propose a taxonomy of deep neural networks for entity matching.
Detecting and Prosecuting IP Infringement with AICan the AI Genie Repulse the Forty Counterfeit Thieves of Alibaba?

Abstract Drawing from available quantitative and qualitative data, this chapter briefly identifies and describes the automated as well as the more sophisticated AI-driven systems deployed to detect and enforce intellectual property rights (IPR) infringement by trademark and copyright holders in the online environment. It studies the legal basis for the use of such automated systems in copyright and trademark laws, and examines how such automated systems have upended, refocused, and altered many of the issues of IPR infringement and their enforcement. This chapter will also look at the problems of non-compliant Digital Millennium Copyright Act takedown notices, opportunistic copyright trolls, and non-interventionist Internet intermediaries, review the relevant judicial and legislative treatments including those in the Directive on Copyright in the Digital Single Market, and propose possible solutions to these problems.
LibGuides: Nursing: Contacts and Personal Guidance

Welcome to the LibGuide for Nursing. The guide helps you discover relevant literature and research, write your own research and keep up to date with your field.
Comparison of the ultrabasic rocks associated with Cu-Ni deposits in Beishan and Jinchuan, Gansu Province and those associated with within-plate environment: preliminary results of big data research

In this study, we collected data on the ultrabasic rocks related to Cu-Ni ore in Beishan and Jinchuan, Gansu Province and compared with that of the global intra-plate ultrabasic (WPU) rock collection in the GEOROC and PetDB databases. We found that in Beishan and Jinchuan ultrabasic rocks, the average elemental contents related to Cu-Ni were close to that of WPU (except for the slightly enriched LILE). Therefore, elements Cu, Cs, Nb and Ta or elemental pairs Rb/Nb, CaO in ultrabasic rocks can be used as important geochemical prospecting indicators for the Beishan and Jinchuan ultrabasic ore deposits. Beishan is distinguished from Jinchuan by high Th/Nb ratio and HREE enrichment. Our Pearson correlation coefficient study further indicated that the two ultrabasic rocks have different distribution, formation age and source area characteristics but are highly correlated geochemically, whereas for total WPU (WPU T ) or WPU of similar coordinates the correlation is relatively poor. However, despite extremely low geochemical similarity for WPU T , the average geochemical characteristics of WPU is similar to the Beishan and Jinchuan ultrabasic rocks. Meanwhile, we examined the data of 26 basic-ultrabasic rocks related to Cu-Ni sulfide deposits in the areas of Baishiquan, Shixi, Hulu, east of Huangshan, etc., and compare them with that of basic-ultrabasic rocks associated with the Beishan and Jinchuan Cu-Ni sulfide deposits in Gansu. We found still an extremely high overall correlation. Therefore, we conclude that the ultrabasic rocks associated with Cu-Ni sulfide deposits share some geochemical similarities provided with modifications by other effects during the formation processes. © 2019, Editorial Office of Earth Science Frontiers. All right reserved.