Reviewerly/exHarmony huggingface dataset:
2. Teacher Metacognitive Strategies with Learning Analytics

The research described in this book searches for the answers on how learners learn in todays open and networked learning environments and how learners, educators, institutions, and researchers can best support this process. There is sufficient data available on virtual learning environments, provided by learning analytics, on student and teacher behaviour and performance, but there is no common practice among teachers in higher education for using this data to improve the learning and teaching process. Learning analytics and data may inform and improve open and online learning from the point of view of teacher and learner awareness about their behaviour and their learning and teaching methods. The idea of describing learning analytics as a metacognitive tool, suggesting a development of metacognitive decision-making skills in teacher education, and focusing on learning design in higher education by using data from learning analytics served as the main focus of this research. The aim of the research was to create the model of application of learning analytics method as a metacognitive tool to enhance student success. The aim of the research was reached through theoretical and empirical objectives, namely: describing the learning analytics method as a metacognitive tool; revealing teacher metacognitive practices
Optics in 2021

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text , "Optics in 2021," Optics & Photonics News 32(12), 30-31 (2021) Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Wh-intensification at the Morphology-pragmatics Interface: An Indirect Look at Turkish through Translations into Polish

Based on a parallel corpus of contemporary novel beginnings, this study looks at two illocutionarily intensified wh-expressions, of syntactic interest in Turkish while morphological in Polish -discourse-pragmatic in both: wh… ki and wh-ż.With an eye on morpho-pragmatic interface discussions, the study explores how morphological marking in Polish helps to identify contexts in the Turkish original that a translator-as-reader interprets as illocutionarily intensified.In a first take, it is quantitatively established that the overlap between the two markers is smaller than expected: most wh-ż-constructions are translations of bare wh in Turkish and at the same time, most wh… ki-constructions in the Turkish originals are translated into Polish as bare wh.Still, a closer look at context reveals that a certain quality of illocutionary intensification is given to all the findings; in many cases, intensification also brings about a dismissal of the question.Structurally, the approach has helped with a closer look at alternative strategies of wh-intensification in both languages, including whfronting and modifiers as well as lexical means and contextual cues.Since the alternative strategies, in particular wh-movement in Turkish, have often been a topic of complex discussions, the parallel-corpus method proves helpful in identifying constructions deserving of a closer look. .
Recent advances in machine learning for geological and geophysical case studies

The exploration of geology and geophysics as an ancient and mysterious enterprise has uncovered the mysteries of different corners of the earth. Advances in machine learning have encouraged geologists and geophysicists to explore the earth further. Geologists develop and apply geological exploration machines to explore different parts of the world through previous practical research and academic theories. In this paper, the applications of machine learning in studying geological features including volcanoes, rocks, glaciers are systematically introduced. On the other hand, the utilization of machine learning analysis in exploration of the earthquake, geothermal, and geomagnetism. In summary, machine learning has provided more in-depth data collection, material analysis and model establishment for geophysical research objects, making geophysical research more active and effective development. This state-of-art review provide a comprehensive understanding of machine learning application in geology and geophysics and provides a clear guidance for further high efficiency and high precision geology and geophysics research.
Improvement of Course Evaluation Questions: Focusing on the Case of S University

The purpose of this study was to improve the course evaluation questions of S University to reflect the changes in educational environments. The Delphi method was used to achieve this. First, the components and contents of the course evaluation questions of S University and 21 other universities were analyzed, and a list of 87 preliminary questions (48 common, 39 course-specific) was generated. Then, a two-round Delphi study was conducted with a panel of 20 experts who had research or work experience related to course evaluation to establish consensus on the preliminary questions. Based on the results of the first round, the mean, standard deviation, agreement, convergence, and CVR of the expert views were calculated, and the appropriateness of the questions was reviewed according to the researchers criteria. This resulted in 65 questions being retained (32 common, 33 course-specific). After the results of the second round of the Delphi study, 35 final questions were selected (15 common, 20 course-specific). This study is expected to provide implications not only for S University, but also for other universities planning to improve course evaluation questions.
A solar corona visible in a layer of Cirrocumulus near Redruth, Cornwall

WeatherVolume 76, Issue 11 p. E3-E3 Inside Cover Photograph A solar corona visible in a layer of Cirrocumulus near Redruth, Cornwall First published: 05 November 2021 https://doi.org/10.1002/wea.4104Read 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. Volume76, Issue11November 2021Pages E3-E3 RelatedInformation
The digital revolution in publishing, written by John B. Thompson

Book Wars:The digital revolution in publishingJohn B. ThompsonCambridge: Polity, 2021ISBN 978-1509546787 (hb), 978-1509546794 (ebook)450 pages, £30.00 (hb), £22.99 (ebook)The publishing – and especially the publishing studies – community knows John B. Thompson from his previous books Books in the Digital Age (2005, on scholarly publishing) and Merchants of Culture (2010, on Anglo-American trade publishing). The latter has particularly gained quasi-textbook status on not a few English-language publishing (studies) courses. Thompson’s new book Book Wars: The digital revolution in publishing has a somewhat bellicose title, since it takes some
Intake

OpflowVolume 47, Issue 8 p. 2-2 Departments Intake First published: 07 October 2021 https://doi.org/10.1002/opfl.1583Read 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. Volume47, Issue8October 2021Pages 2-2 RelatedInformation
Certificateless public key encryption with equality test and timestamp-based authorization scheme

With the widespread application of cloud service platforms, the operational efficiency of data operators has been improved. However, if people upload data containing user privacy to the cloud, you will inevitably face the risk of data leakage. Yang et al.[1] first proposed a public key encryption system that supports equality testing in 2010, but this system lacks an authorization mechanism and has certificate management problems. This article proposes CLEET-DBA for the first time, which is a complete encryption system because it adds a timestamp authorization mechanism, solves the certificate management problem, and improves computing efficiency.
What’s Next?

In Part I, we started out learning about the world of Voice User Interfaces. We then looked at Alexa Routines and Blueprints. We then created and published a Body Mass Index Alexa skill. This also introduced Alexa Conversations. Then, in Part II, we went beyond Hello World with the 90-year calendar skill. We designed a VUI with Botmock, created a visual interface with Alexa Presentation Language, and programmed a back-end lambda function. We then saw several ways to unit test our lambda function and our Alexa skill. Finally, in Part III, we pulled data from real estate and stock market APIs to build a Personal Net Worth skill. In this chapter, we look at what’s next.
ITiCSE 2022 preview

The 27th annual ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE) will take place in Dublin, Ireland, hosted by University College Dublin (UCD), with support from the Technological University of Dublin (TU Dublin).
Intelligent Collision Avoidance Method for Motion Obstacles of Unmanned Vehicles

At present, the active technology of automobiles is becoming more and more mature and the emergence of driverless vehicles makes it a hotspot in the field of road safety. A new intelligent collision avoidance method for unmanned vehicle motion obstacles is proposed. The kinematics model of unmanned vehicles is established and linearized to obtain the kinematics linear tracking error model of unmanned vehicles and predict the future behavior of unmanned vehicles. The intelligent collision avoidance can be achieved by improving the artificial potential field model of the unmanned vehicle after understanding the future behavior and obstacle information of the unmanned vehicle. The experimental results show that the method has a high detection rate and success rate of obstacle avoidance and low total time-consuming in the process of behavior selection and path planning. It can quickly make collision avoidance responses and reduce the possibility of collision.
Imprint: Geomechanics and Tunneling 6/2021

Geomechanics and TunnellingVolume 14, Issue 6 p. 811-811 Imprint Imprint: Geomechanics and Tunneling 6/2021 First published: 03 December 2021 https://doi.org/10.1002/geot.202170608AboutPDF 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. Volume14, Issue6December 2021Pages 811-811 RelatedInformation
SQL Injection

No AccessSQLOct 2021SQL InjectionRalf AdamsRalf AdamsSearch for more papers by this authorhttps://doi.org/10.3139/9783446472204.025SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2021Pages: 383-394Print ISBN: 978-3-446-47168-9eISBN: 978-3-446-47220-4 Copyright & Permissions© 2021 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
STUDENTS’ ATTITUDE TOWARD THE USE OF WATTPAD IN READING COMPREHENSION

This study attempts to seek what components of reading are affected by reading Wattpad and how the students' attitudes towards the use of Wattpad for reading. This research used a descriptive qualitative method. This research is also supported by the theory of reading attitude proposed by McKenna, et.al. The data for this study were collected from two sources, namely a close-ended questionnaire to 20 English Literature students of Universitas Sumatera Utara and supported by interview with 5 out of 20 selected respondents. The results of this study indicate two main things, namely: (1) Vocabulary is the component of reading that is most affected. As many as 40% of respondents chose vocabulary as the most affected reading component, 35% of respondents chose comprehension ability, 15% of respondents chose reading fluency and 10% of respondents chose phonemic awareness. (2) It was found that 10 respondents were judged to show a positive attitude towards the use of Wattpad, 6 respondents showed a neutral attitude and 4 respondents showed a negative attitude towards the use of Wattpad.
Research and application of penetration testing method in industrial control system

The country attaches great importance to the safety risk of industrial control systems. It has issued more than ten national standards for industrial control safety protection and evaluation, but more of them provide guidelines for compliance safety evaluation, and less involve penetration testing. As a powerful method to discover security vulnerabilities, penetration testing can change passive defense to active, discover security weaknesses from the attacker's perspective, and verify the effectiveness of security measures. The difficulty of penetration testing for industrial control systems is that it relies more on the field experience of testers, and needs to refer to factors such as the particularity of the system industry, functional design, equipment configuration differences, and production environment. This article starts from the research on the vulnerability of industrial control systems, focuses on the penetration testing methods of industrial control systems, and analyzes and tells them in combination with actual cases.
Aggregate modeling and assessment

In the USA assessment focus has broadened from deposits of metals, to industrial minerals, and recently to the consideration of aggregate. Development of descriptive models will be an important future activity in aggregate modeling and will likely be based on geomorphology, bedrock features, and sedimentary forms. Systematic classification and associated descriptive models of aggregate deposit types are needed before a better quantitative assessment can be made. Grade and tonnage models provide distributions of grades and tonnages of mineral deposits grouped using descriptive models. Some industrial minerals and all aggregates are sensitive to proximity to markets, and availability of transportation. A number of characteristics are important to suppliers and users and therefore need to be quantitatively modeled. Broadly, they include: Deposit size and geometry, Grain size distribution, and Physical and chemical characteristics. Within each aggregate production-consumption domain, is a circular system driven by internal aggregate ‘consumption’.
Effect Selection and Regularization in Structured Additive Distributional Regression

Structured additive distributional regression provides a general framework for semiparametric regression where effects are assumed for all parameters characterizing the distribution of the response. This allows the analyst to focus on distributional aspects beyond the mean such as variability, skewness or other shape features. The predictors assigned to the parameters comprise structured additive combinations of various effect types such as nonlinear effects of continuous covariates, spatial effects, random effects, varying coefficient terms, interaction surfaces, or high-dimensional vectors of linear effects. However, the resulting flexibility makes effect selection and regularization a challenge that can be conveniently tackled in a Bayesian framework by placing prior structures on blocks of regression coefficients relating to the different effects. We will review both effect selection priors based on spike-and-slab structures and regularization priors enforcing shrinkage and smoothness of effect estimates from a conceptual as well as a computational point of view.
Architektura informacji dla poczatkujących: Lisa Marii Martin, Everyday Information Architecture 2019 ISBN: 978-1-937557-74-4

Review of the monograph: Lisa Marii Martin, Everyday Information Architecture 2019 ISBN: 978-1-937557-74-4
ERI Data-Based Metastable Critical Point Estimation Considering the Catastrophe Characteristic of Traffic Flow

Metastable critical point estimation is enjoying much attention as traffic problems worsen in cities. However, related research on metastable critical point estimation seldom employs travel data due to the lack of data and the neglect of the catastrophe characteristic. This problem can be solved with the massive application of Electronic Registration Identification of the motor vehicle (ERI), which is an emerging technology to identify a unique vehicle based on Radio Frequency Identification (RFID). This paper presents an ERI data-based framework for identification of a critical phase transition interval and estimation of metastable critical point considering the catastrophe characteristics of traffic flow. We utilize real data in the algorithms. Finally, the metastable critical traffic flow characteristic parameter with the various observation period is analyzed quantitatively based on the LSTM model, which can provide an important basis for early warning and control.
Developing a hand gesture recognition Web system

With the popularization of different ways to interact with computers, gesture recognition is an area of increasing interest among researchers around the world because of how it enables a user to control an application by performing static hand gestures in front of a camera connected to his machine. In this project, therefore, a Web application that allows users to create their own systems that are capable of recognizing the static gestures that they wanted without the need for a computer with a high processing power was developed, the application also allowed the user to store and load the generated system, avoiding the data loss and provides incentive for sharing of usercreated systems. After the implementation of a Convolutional Neural Network that is based in a MobileNet model, this work was validated by sequences of tests that displayed the feasibility to create systems capable of recognizing gestures with high accuracy.
SCRS Proceedings of International Conference of Undergraduate Students

The real-time segmentation of drivable areas plays a vital role in accomplishing autonomous perception in cars. Recently there have been some rapid strides in the development of image segmentation models using deep learning. However, most of the advancements have been made in model architecture design. In solving any supervised deep learning problem related to segmentation, the success of the model that one builds depends upon the amount and quality of input training data we use for that model. This data should contain well-annotated varied images for better working of the segmentation model. Issues like this pertaining to annotations in a dataset can lead the model to conclude with overwhelming Type I and II errors in testing and validation, causing malicious issues when trying to tackle real world problems. To address this problem and to make our model more accurate, dynamic, and robust, data augmentation comes into usage as it helps in expanding our sample training data and making it better and more diversified overall. Hence, in our study, we focus on investigating the benefits of data augmentation by analyzing pre-existing image datasets and performing augmentations accordingly. Our results show that the performance and robustness of existing state of the art (or SOTA) models can be increased dramatically without any increase in model complexity or inference time. The augmentations decided on and used in this paper were decided only after thorough research of several other augmentation methodologies and strategies and their corresponding effects that are in widespread usage today. All our results are being reported on the widely used Cityscapes Dataset.
Advances

A summary is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Q# Language Overview and the Quantum Simulator

The Q# language, pronounced as q-sharp, is part of Microsoft’s QDK, or Quantum Development Kit, which also provides tools and IDE or Integrated Development Environment support. The goal of the Q# quantum programming language is not only to support early learnings on quantum computing and quantum hardware but also to support development of future large-scale applications.
Legal Solution: Phishing Is Prohibited Under a Number of Laws

A cyber law is a legal rule that can enforce punishments on cyberattackers. Consumers need to know their country’s cyber laws and what activities are legal or illegal on the Internet. Cyber legislation is designed to protect online organizations and individuals on the network from unauthorized access and cybercriminals. If someone engages in illegal behavior or violates a cyber rule, individuals or organizations can demand punishment or take action against them. This chapter discusses the importance of cyber laws and highlights a few of them around the world that relate to phishing.
Augmented Reality Using ARKit and OpenCV

ARKit has been one of Apple's most popular iOS 11 functionality. Many more innovative augmented reality applications are being developed daily. Although there are many great guides available to get you going with ARKit and incorporating these with Core ML, we’ve had such a hard time finding good knowledge about using ARKit with OpenCV.
Closing Session ETD2022 - Serbia

Join us for ETD2021 (Electronic Theses and Dissertations) Conference in November 2021 in the United Arab Emirates. Our theme, ‘Open scholarship in a post-pandemic world’ addresses the enhanced need for discoverability of research findings in a virtual world. Since the global impact of the COVID-19 pandemic has constrained international travel and mobility, we have all come to rely on working in the virtual world. These developments have merely accelerated the existing trends towards more electronic and digital repositories. Since 1991, the Networked Digital Libraries of Theses and Dissertations (NDLTD) have contributed to research collaboration by identifying and aggregating digital repositories of theses and dissertations as a previously fugitive class of research resources.
Engineering Design Optimization Using an Advanced Hybrid Algorithm

An advanced hybrid algorithm (haDEPSO) proposed in this paper for engineering design optimization problems. It integrated with suggested advanced differential evolution (aDE) and particle swarm optimization (aPSO). In aDE introduced a novel mutation, crossover and selection strategy, to avoiding premature convergence. And aPSO consists of novel gradually varying parameters, to escape stagnation. So, convergence characteristic of aDE and aPSO provides different approximation to the solution space. Thus, haDEPSO achieve better solutions due to integrating merits of aDE and aPSO. Also, in haDEPSO individual population is merged with other in a pre-defined manner, to balance between global and local search capability. Proposed hybrid haDEPSO as well as its integrating component aDE and aPSO has been applied to five engineering design optimization problems. Numerical, statistical and graphical experiments (best, worst, mean and standard deviation plus convergence analysis) confirm the superiority of the proposed algorithms over many state-of-the-art algorithms.