Reviewerly/exHarmony huggingface dataset:
To the Question of the Formation of Readiness to Professional Communication in a Foreign Language of Future Engineers in a Digital Educational Environment

This article is devoted to the problem of formation of readiness for professional foreign language communication with future engineers in the conditions of the digital educational environment of the University.A brief description of the concept of "digital educational environment" is given.
Equipment Life Cycle Management Based on Private Blockchain and Smart Contract

Equipment management is gradually becoming more decentralized, and, in many cases, the equipment owner, operator, maintainer and inspector are not the same legal entity. This slows down equipment data transmission between stakeholders and reduces business and technical process automation. In this paper, we discuss how the application of distributed ledger concept based on private blockchain and smart contract technology can resolve these challenges and create a more automated and surveillance-free equipment life cycle management process.
News: PhotonicsViews 2/2019

PhotonicsViewsVolume 16, Issue 2 p. 4-11 NewsFree Access News: PhotonicsViews 2/2019 First published: 12 March 2019 https://doi.org/10.1002/phvs.201970202AboutPDF ToolsExport 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 onFacebookTwitterLinkedInRedditWechat Volume16, Issue2April/May 2019Pages 4-11 RelatedInformation
Online Education Program for English Learners in High Schools

The area under curve was 0.6479.The optional cutoff time is 0.4262.The mis-classification error was 0.2083.the sensitivity rate is about 100% and the specificity is 0.8%.Conclusions:This study identified the potential predictors for online education for English learners, for example: regions, availability of other support for English as a Second Language.
Intercultural and Interdisiplinary Communication Skills as a Component of Engineering Education: International Design Projects

She is also the president of the EAEEIE -European Association for Education in Electrical and Information Engineering, which is a European non-profit organization, with members from nearly seventy European Universities, most of them teaching in the area of Electrical and Information Engineering (EIE).Anna Friesel is a member of the IEEE Educational Activities Board (EAB) Faculty Resources Committee (FRC).The mission of the EAB FRC is "to promote the
Hire Live Production Professionals To Help With Your Virtual Event

Special Events GaloreVolume 21, Issue 8 p. 3-3 Enhance Your Virtual Events Hire Live Production Professionals To Help With Your Virtual Event First published: 01 July 2021 https://doi.org/10.1002/speg.31615Read 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 onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume21, Issue8August 2021Pages 3-3 RelatedInformation
Enhanced TBAHIBE-LBKQS techniques for privacy preservation in cloud

In recent days, providing security to the data stored in cloud is an important and challenging task. The existing works have some drawbacks such as, high cost, required more amount of time for execution and low level security. So, this paper proposes novel techniques such as, tiered blind and anonymous hierarchical identity-based encryption (TBAHIBE) and location-based keyword query search (LBKQS) for privacy preservation. In this work, the privacy is provided to the medical data stored in the electronic health record (EHR). Here, the medical data of the egg and sperm donor, receptor, doctor and lab technician are stored in an encrypted format by using the proposed TBAHIBE technique. Then, the location-based search is enabled based on the keyword and query. The experimental results evaluate the performance in terms of computation cost, communication cost, query evaluation, encryption time, decryption time and key generation time.
Evaluating the Quality of Exam Questions: A Multidimensional Item Response

The purpose of this research is to propose a new approach for evaluating the quality of the exam questions. Exam results were obtained from students taking the statistics and probability course in Universiti Teknologi MARA (UiTM). The number of exam questions is set by 10 questions with 30 items that have varying degrees of difficulty. A total of 214 students' results have been extracted from the iCGPA system. “Multidimensional Item Response Analysis (MIRA)” was applied for the 1PL (Rasch), 2PL and 3PL models to evaluate the quality of the exam questions. The models were estimated using MH-RM algorithm in the R package. Model fitting comparison is based on the log-likelihood, SE, AIC and BIC statistics. The statistic and Zh statistic were calculated to identify the item misfit and person misfit. Through model fittings, all three models give the value of all acceptable and almost identical statistic. 5 items are considered as misfit by the 1PL model. For the 2PL and 3PL models, 5 items are categorized as misfit. The reduction in the number of misfit items can be attributed to the addition of information to the IRA model. On the other hand, the analysis of person fit provides different misfit percentages between the IRA models. This is probably because most students can answer all the questions very well. In conclusion, the quality of exam questions for statistics and probability courses needs to be improved by increasing the degree of difficulty of the questions that incorporate higher-order thinking skill.
Exploring the VR-based PBD Programming Approach to Teach Industrial Robotics in Manufacturing Education

Traditionally industrial robots have been programmed on-line using a teach pendant or off-line using programming software.For novice users, using a teach pendant is ideal because the user moves the robot to specific points along the desired tool path, recording key locations in the robot program during the process.Once novice users grasp the basics of robot programming, off-line software is often used to program and simulate more complex robot motion without sacrificing the up time of the robot; points in space are specified and the software generates the tool path automatically.With the advent of collaborative robots, a third programming approach is now gaining attention.Programming by demonstration (PbD) is often used to program collaborative robots.Using PbD, the user programs the robot by physically holding the robot end effector to move it along the intended path, and the computer records the tool path.Accuracy of the program can be enhanced by revising the location of certain points afterward.While the PbD approach seems to be more intuitive, it requires a collaborative robot.Since collaborative robots are relatively new, few academic institutions have them available for students to use.In this work in progress paper we describe a study to explore methods of using the virtual reality (VR) add-on for ABB's RobotStudio to allow students to program traditional industrial robots using the PbD approach.Key features of the VR add-on, and how they allow the user to move a virtual robot end effector to generate a tool path is described.A comparison between the conventional approach of robot programming using the teach pedant and the VR-based PbD approach is then presented.The quality of the resulting robot programs and advantages/ limitations of the VR-based PbD approach are then discussed.We will conclude the paper with practical implications in instructional practice.
Metode K.Means Clustering dalam Persebaran Covid 19 di Sumatra Barat

Corona virus is a positive single strain RNA virus that infects the respiratory tract. Diagnosis starts from general symptoms in the form of fever, cough and difficulty breathing. One of the causes of the very high spread of the corona virus is due to physical contact with positive COVID patients. There are many impacts of the increasing corona virus in various countries, one of which is Indonesia. The high rapid spread of the corona virus has reached regional areas including the province of West Sumatra, therefore it is very necessary during this pandemic to keep your distance and stay away from crowds and comply with health protocols and stay away from areas that have a high spread of the corona virus. grouping or clusters of the spread of the corona virus in the West Sumatra region using the k-means clustering data mining method. The study was conducted using the variables confirmed, died, recovered and the number of positive . based on data that has been processed and produces information that can be expected to help the government to take decisions or actions to reduce the spread of the Corona virus in the West Sumatra region.
Mazor Snapshot Tracker Kit

Biomedical Safety & Standards: March 15, 2020 - Volume 50 - Issue 5 - p 37 doi: 10.1097/01.BMSAS.0000656856.26467.63
K, Rb and Ba in micas from kimberlite and peridotitic xenoliths

Highly-sensitive electron microprobe analyses were made for Rb and Ba in micas from peridotitic xenoliths in kimberlites, in MARID-suite nodules, in phlogopite megacrysts, and in kimberlite groundmass minerals (Table 1).Special attention was paid to background for Rb (Fig. 1); the standard was Corning
To Distinguishing The Infirmity By Using Palmistry Algorithm In Image Processing

The endeavor is made arrangements for structure up the utilization of palmistry to find the human ailment from their palm. Palm looking for is a sensational issue in the restorative administration's system. In the proposed methodology, Palm investigating is inspected from the perspectives of model assertion, heuristics, and learning. Two sorts are cleared in this technique. Tremendous learning is one of the perspectives in AI that has an unusual condition of accreditation. In standard palmistry has used in the past method of room science. It is the distortions the future from the palm print of an individual. In this endeavor the palm print utilities for a blemish the sickness with the help of Artificial Immune System (AIS) to get to the human lead. CLONALG is a count, which is executed to recognize the blemish area. While separating of palm print we can without a lot of a stretch find the disfigurement domain. The character perceiving confirmation has been the palm print unmitigated dependent on Convolutional Neural Networks (CNN) which detects the efficient process of FS and VS.
The Exploration and Research on the Undergraduate Innovation and Entrepreneurship Education Pattern

At present, innovation and entrepreneurship education has played a prominent role in the educational structure.In the new age, faced with the transition of economic structure, the change of personnel requirement, and the active demand of culture construction, all college students who play different roles in the society are required to complete innovation and entrepreneurship education pattern, which is also the priority of it.Breaking up traditional educational pattern and limitation of original way of thinking, intensifying construction of innovation and entrepreneurship culture, helping and guiding university students to build up proper innovation and entrepreneurship awareness and then effectively guide the future practice.
Styling

In this chapter, we’re going to talk about styling front-end applications. Styling is an exciting topic. It’s fun to see our code change how our application looks. Unfortunately, merely mentioning CSS can cause some developers to run away and look for any other development task to work on. Styling applications has unique challenges that other coding paradigms do not, but few areas of our code make quite as big of an impact as quickly as how we style our code.
Professional Training in Higher Education: Technological Aspect

The development of science and technology offers new forms of communication, new types of resolution of abstract and specific tasks, turning the teacher from an authoritarian translator of ready-made ideas into an inspirer of intellectual and creative potential of students. The future of the system of training, which would fit into the scheme student – technology – teacher, in which the teacher does not turn into a teacher-methodologist, technologist, and the student becomes an active participant in the learning process
Regional Characterisation of Soils from Ground, Air and Space

&amp;lt;p&amp;gt;The Federal Institute for Geosciences and Natural Resources has recently launched a project to characterise soils and soil patterns using smart sets of newly developed and existing technologies on regional scales. The focus lies on the combination of airborne geophysical tools like gamma ray spectrometry and remote sensing techniques such as VIS-NIR-SWIR-LWIR hyperspectral and thermal infrared imagery. In order to calibrate the measurements all given methods will be implemented on ground and on soil samples in the laboratory. Additionally, geochemical, mineralogical and physical investigations well established in soil sciences will be incorporated. The aim is to map and evaluate the physical properties acquired from drones, helicopter and satellites. Using statistical methods and means of artificial intelligence areas of homogeneous physical soil properties will be determined.&amp;amp;#160; The resulting areas will be compared to soil classification maps and the distribution of soil substrates. Self organising map systems will be used for correlation of homogeneous areas and later interpretation. Major care will be taken to reduce effects from varying soil moisture and surface vegetation. The presentation will focus on ground based, airborne and space platforms and their instrumentation and current developments. Apart from off-road vehicles at least three different sets of drones will be used for detailed surveying, implementing newly developed gamma ray sensing systems, hyperspectral and thermal infrared cameras. The BGR helicopter will be equipped with a high-end gamma spectrometer and imaging hyperspectral sensors. We envisage using future hyperspectral EnMAP data to evaluate it against the helicopter results and further up- and downscaling strategies.&amp;lt;/p&amp;gt;
IT PROFESSIONAL USERS AND VENDORS? PERCEPTIONS OF THE KEY FACTORS IN ADOPTING CLOUD-MANAGED NETWORKS TECHNOLOGY

This study investigates the perceptions between IT professional users and vendors/resellers in term of the five key factors: complexity, compatibility, cost saving, security, and job performance for cloud-managed networks adoption, and seeks ranking of the importance of the factors.The findings indicate that IT professional users and vendors have different perceptions in all five factors, and ranking differently.Security factor was the least important factor when compared to the rest of other factors.This study provides important results that might help practitioners and academics in understanding the perceptions and the ranking of important factors, improve IT frameworks adoption, product development and marketing strategies, and enhance decision making of cloud-managed networks adoption.
Sound and video examples – issue 26 (1)

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First International Workshop on e-Commerce and NLP (ECNLP) Chairs' Welcome

research-article Share on First International Workshop on e-Commerce and NLP (ECNLP) Chairs' WelcomeWWW '19: Companion Proceedings of The 2019 World Wide Web ConferenceMay 2019 Pages 324–325https://doi.org/10.1145/3308560.3316594Published:13 May 2019Publication History 0citation100DownloadsMetricsTotal Citations0Total Downloads100Last 12 Months11Last 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
Team Software Process (TSPI) Web-Based Support Tool

One of the goals as a system or software developer that need to be achieved is to produce a product or system that can be considered as a high-level quality of a product. To help the developer produce a good quality of a product, a tool that will help them make their work easier and efficient is needed. TSPi Tool is one of the methods that can be used by the developer to plan their project, record the project progress, record defect and solve the defects. Currently, FCSIT students who're taking the Software Engineering and Laboratory are using the TSPi Support Tool (Excel Version). However, there are problems exists such as time-consuming which affects the progress of the project. The proposed solution for arising problems was the Team Software Process (TSPi) Tool Web-Based System, a web-based management system to manage and monitor the progress of the product development.
Towards Technology Focus on Medical Information Database with Cloud Computing

Today's world towards focus is very rapid growth with the cloud computing technology in and around all the fields including the medical side. Nowadays, especially in the medical field such as radiology department manage medical images with less software and hardware. In general, cloud computing work with the public, private, hybrid and community models and different types of components such as SaaS, PaaS, Iaas. Cloud storage handle a huge number of different type of data with a shared resources model. In the user side using medical image cloud data involve new issues in data security and reliability concern. In cloud data security facing when downloading sensitive medical images can touch positive and negative effects. In this paper proposed multiple attribute-based schemes resist the impact of multiple authorities. This proposed algorithm is provably efficient and secure in the authentication than existing authentication schemes in the cloud data storage.
Designing Employee Engagement Framework for a Business Unit of an Indian Multinational Conglomerate

Employee engagement is an area which has been in discussion lately. Many organizations fail to engage their employees as a result they face high attrition resulting to high cost. The level of employee engagement in an organization can be enhanced by identifying the drivers. These drivers can then contribute in developing an employee engagement model and framework which could be of help for the organization in the long run. This research is conducted in one of the business unit of an Indian multinational conglomerate. The purpose of the research was to design an employee engagement framework. For this, the researcher prepared a survey questionnaire using quantitative technique and floated it to all the employees (760) in that business unit. There were total 40 questions out of which 36 were closed ended 5 point Likert scale positive statement and 4 open ended questions.To understand the characteristics of the population size for identifying which all drivers are influencing the employee engagement in the organization the most, the researcher had used Descriptive research. MS Excel and statistical tools were used to analyze the data and to come up to a conclusion. Using the research findings of the research, the researcher framed an employee engagement framework which the company is planning to implement.
Evaluating Optimal Differentially Private Learning - Shallow and Deep Techniques

Data analytics is an evolving arena in today’s technological evolution. Big data, IoT and machine learning are multidisciplinary fields which pave way for large scale data analytics. Data is the basic ingredient in all type of analytical tasks, which is collected from various sources through online activity. Data divulged in these day-to-day activities contain personal information of individuals. These sensitive details may be disclosed when data is shared with data analysts or researchers for futuristic analysis. In order to respect the privacy of individuals involved, it is required to protect data to avoid any intentional harm. Differential privacy is an algorithm that allows controlled machine learning practices for quality analytics. With differential privacy, the outcome of any analytical task is unaffected by the presence or absence of a single individual or small group of individuals. But, it goes without saying that privacy protection diminishes the usefulness of data for analysis. Hence privacy preserving analytics requires algorithmic techniques that can handle privacy, data quality and efficiency simultaneously. Since one cannot be obtained without degrading the other, an optimal solution that balances the attributes is considered acceptable. The work in this paper, proposes different optimization techniques for shallow and deep learners. While evolutionary approach is proposed for shallow learning, private deep learning is optimized using Bayesian method. The results prove that the Bayesian optimized private deep learning model gives a quantifiable trade-off between the privacy, utility and performance
Socio-Cultural Diversity in The Form of Digital Comics for Fourth Grade Students: Validity and Feasibility

The appearance of the book that is less attractive makes students bored in learning. So the need for the application of learning media can help students understand abstract concepts, such as digital comics. This study aimed to develop digital comic learning media on the socio-cultural diversity of fourth-grade elementary school students. The subject of this research is digital comic media, and the object of this research is the validity of the digital comic media that has been developed. This study used a questionnaire method by providing an assessment sheet instrument given to 2 media expert test lecturers, two material expert test lecturers, and two teachers as practitioners. The instrument used to measure the validity of digital comic media is a rating scale in an expert's digital comic media assessment sheet. The data obtained were then analyzed using the mean formula to determine the average validity score of digital comic media. The results of the average validity score of digital comic media obtained from material experts, there is an average validation score as a whole is 4.8, media experts have an average overall validation score of 4.8 and expert practitioners have an average validation score overall is 5.7 with very good qualifications. Based on the results of this analysis, it can be said that digital comic media developed on the topic of socio-cultural diversity are declared valid and suitable for use in student learning.