Reviewerly/exHarmony huggingface dataset:
Quantum Teleportation and Measurement-Based Quantum Computation

Quantum teleportation is the most basic quantum protocol that transfers quantum states between two parties via sharing of quantum entanglement, measurements, and feedforward operations. At first glance, quantum teleportation is simply an identity operation that does not change the quantum states. Quantum teleportation, however, forms the basis for a paradigm of quantum computation called measurement-based quantum computation (MBQC). In the first half of this chapter, we describe continuous-variable (CV) quantum teleportation. In the second half, we explain how to use quantum teleportation in MBQC. There are two important concepts regarding MBQC: cluster state and gate teleportation. Cluster state is a multipartite entangled state that can be used for CV quantum computation, given that we can implement appropriate measurements and feedforward operations on it. Gate teleportation, on the other hand, is a concept that we can “teleport” non-Gaussian operations on the resource state to the input state.
SAO TOME E PRINCIPE: Opposition Win

Africa Research Bulletin: Political, Social and Cultural SeriesVolume 58, Issue 9 p. 23301C-23302A Internal Developments SAO TOME E PRINCIPE: Opposition Win First published: 15 October 2021 https://doi.org/10.1111/j.1467-825X.2021.10179.xRead 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. Volume58, Issue9October 2021Pages 23301C-23302A RelatedInformation
A Survey of Chosen-Prefix Collision Attacks

In Chapter 7, A Survey of Chosen-Prefix Collision Attacks, Marc Stevens surveys the technical advances, impact and usage of collision attacks for the most widely used cryptographic hash functions. Cryptographic hash function are the Swiss army knives within cryptography and are used in many applications including digital signature schemes, message authentication codes, password hashing, cryptocurrencies and content-addressable storage. Stevens was one of the driving forces in turning initial weaknesses in the compression function into practical attacks against various widely deployed protocols relying on hash function collision resistance for their security. In Chapter 7 he explains how each scenario involves the development of slightly different ideas to exploit weaknesses in especially MD5.
PECULIARITIES OF LEARNING ACTIVITIES OF STUDENTS WITH INTELLECTUAL DISABILITIES

The article is devoted to the study of the features of the educational activity of students with intellectual disabilities.
Angola

The economic outlook has substantially deteriorated since the Second Review, driven by the negative effects of the COVID-19 pandemic on global economic activity and oil prices. The adverse impact of the shock on the Angolan economy, which is highly dependent on oil (95 percent of exports, two-thirds of government revenue), adds to the hardship from five consecutive years of recession. Rapid exchange rate depreciation and the decline in oil prices have pushed the public debt-to-GDP ratio to a very high level. However, continued fiscal retrenchment, prudent debt management, and debt reprofiling are expected to improve debt dynamics progressively.
Nonbinary BCH Codes and Reed–Solomon Codes

Using easy-to-follow mathematics, this textbook provides comprehensive coverage of block codes and techniques for reliable communications and data storage. It covers major code designs and constructions from geometric, algebraic, and graph-theoretic points of view, decoding algorithms, error control additive white Gaussian noise (AWGN) and erasure, and dataless recovery. It simplifies a highly mathematical subject to a level that can be understood and applied with a minimum background in mathematics, provides step-by-step explanation of all covered topics, both fundamental and advanced, and includes plenty of practical illustrative examples to assist understanding. Numerous homework problems are included to strengthen student comprehension of new and abstract concepts, and a solutions manual is available online for instructors. Modern developments, including polar codes, are also covered. An essential textbook for senior undergraduates and graduates taking introductory coding courses, students taking advanced full-year graduate coding courses, and professionals working on coding for communications and data storage.
Using Concordance Software to Generate Academic Words in Applied Linguistics

Academic words include words that are not commonly encountered in formal circumstances and specific to particular fields of study. Undergraduate students of the English Department are required to acquire academic words in applied linguistics for academic reading and writing research articles. This paper reports on generating the academic word list for the students of the English Department by using AntConc, a concordance software application. In this study, corpus linguistic research was adopted, in particular the corpus-based analysis category. Data were gathered from approximately one thousand credible Applied Linguistics journal articles published from 2008 to 2021. AntConc software played a significant role in processing these data to get the intended corpus, which was then classified and categorized based on the frequency of occurrences. The results include an academic word list and its word family. These clusters of academic words are intended for undergraduate students of the English Department in the first up to fourth academic semesters to prepare them to participate in international academic discourse, such as writing and publishing research articles. This list can also be used as a basis for further research related to academic vocabulary.&#x0D; Academic words include words that are not commonly encountered in formal circumstances and specific to particular fields of study. Undergraduate students of the English Department are required to acquire academic words in applied linguistics for academic reading and writing research articles. This paper reports on generating the academic word list for the students of the English Department by using AntConc, a concordance software application. In this study, corpus linguistic research was adopted, in particular the corpus-based analysis category. Data were gathered from approximately one thousand credible Applied Linguistics journal articles published from 2008 to 2021. AntConc software played a significant role in processing these data to get the intended corpus, which was then classified and categorized based on the frequency of occurrences. The results include an academic word list and its word family. These clusters of academic words are intended for undergraduate students of the English Department in the first up to fourth academic semesters to prepare them to participate in international academic discourse, such as writing and publishing research articles. This list can also be used as a basis for further research related to academic vocabulary.
A Machine Learning Pipeline for Document Extraction

Preview this article: A Machine Learning Pipeline for Document Extraction, Page 1 of 1 < Previous page | Next page > /docserver/preview/fulltext/fb/40/2/fb2022016-1.gif
Using WhatsApp to connect pet owners with vet care

Veterinary RecordVolume 190, Issue 3 p. 100-100 Business & Innovation Using WhatsApp to connect pet owners with vet care First published: 04 February 2022 https://doi.org/10.1002/vetr.1444Read 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. Volume190, Issue35/12 February 2022Pages 100-100 RelatedInformation
Development Of Android-Based Interactive Jobsheet On Electrical Measuring Equipment Materials In Vocational School

This study aims to 1) the feasibility of the developed android-based interactive jobsheet, 2) the effectiveness of the developed android-based interactive jobsheet. 3) Student responses to the developed android-based interactive worksheets. This study uses the ADDIE development model. The experimental design in this study used the One-Group Pretest-Postest Design. The research sample was class X students majoring in Light Vehicle Engineering (TKR). Data analysis used normality test, homogeneity test, product feasibility test and student response analysis. The results of the analysis can be obtained that the android-based interactive jobsheet development results are stated 1) feasible both from the results of the material test and media test with an average score of 80.6% and 81.25%. 2) Effectively used in learning as evidenced by the acquisition of an N-gain of 0.52 and is categorized as a moderate increase in learning outcomes. 3) Student responses to the android-based interactive worksheets that have been developed meet the "interesting" criteria. It is proven that the average percentage of student responses is 73.43%. The researcher suggests that before doing learning, teachers and students are expected to install an Android-based interactive worksheet on a handphone or laptop.
Penerapan Model Pembelajaran Kooperatif Tipe Teams Game Tournament Terhadap Hasil Belajar Bimbingan TIK

This study aims to determine the effectiveness of the application of the Teams Game Tournament (TGT) Cooperative Learning Model on ICT Guidance Learning Outcomes at UPT SMP N 2 Painan. The type of research used is experimental research. This research uses numerical research procedures and the analysis uses statistics and uses quantitative methods. For the research results, the experimental class data is 78.933 with the control class average score is 69.76. The final test analysis where the tcount is 9.484 and ttable is 1.68 with a 95% significance level so that tcount &gt; ttable, the research hypothesis is accepted. For student activity and response, the average result is 4,301 with a percentage of 86,037 with a very good classification and for the average student response result is 4,343 with a percentage of 86,871 with a very good classification. The effectiveness of the TGT learning model in the effectiveness trial, it was found that 87% of students got a score of 70 which was classically effective and for the control class, 43.33% of students got a score of &lt;70 which was not classically effective. In terms of Gain Score, it gets a value of 37.31% (medium). In conclusion, there is an effect of the Team Game Tournament (TGT) cooperative learning model on student learning outcomes.
Quantum Computation in Time Domain

Optical systems have been long considered to be appropriate for tasks in quantum communications but not quantum computation. This is because the optical systems are “flying qubits” that need actual physical circuits to implement quantum computation, limiting their scalability. In this chapter, we explain a methodology that does not only overcome this limitation but is also one of the currently most promising methods in terms of scalability: time-domain quantum computation. In this method, quantum states are encoded in a localized temporal wave packet. These wave packets can be multiplexed in time, allowing the generation of large-scale cluster states and multi-step quantum operations using only minimal physical resources. We explain basic ideas of quantum computation in the time domain and show several experimental examples.
HISTORICAL CONTEXT OF ESTABLISHMENT AND DEVELOPMENT OF EXTRACURRICULAR EDUCATION IN UKRAINE

The author theoretically substantiates the historical and pedagogical aspects of the formation and development of extracurricular education in Ukraine. The prospects of its development under the conditions of modernizing the education system, preserving the best traditions and creating modern standards of extracurricular education are determined. The author found out that in modern conditions of development of the national system of education, the activity of extracurricular education institutions is an actual means of positive motives formation of educational and cognitive activity of youth.The article sketches out extracurricular work as an organized pedagogical activity, that has a pronounced specificity of influence in comparison with other means of education and certain advantages, which include voluntary participation of young people in extracurricular activities, their differentiation by interests and inclinations, and individual approach.It is clarified and substantiated that the system of extracurricular education performs significant tasks aimed at meeting the needs of children for cognition and creativity; acquisition, deepening and expansion of youth competencies, satisfaction and development of their interests and abilities in free time; formation of worldview and system of value orientations, national-patriotic education; identification, support and development of gifted and talented children; physical, emotional and intellectual development of personality. The perspective problems that will be solved during the implementation of this research and the practical significance of solving this problem for the educational sphere are revealed. The findings confirm that the current scientific problem is not only the disclosure of the content of extracurricular education as a social phenomenon but also the verification of the continuous educational process, where extracurricular educational institutions provide children with broad and unconventional opportunities to improve mental health.&#x0D; Keywords: scientific problem; pedagogical phenomenon; education and upbringing; quality of education; social conditions; free choice; extracurricular education; content of extracurricular education; extracurricular education institution; student youth.
SCIENTIFIC AND THEORETICAL JUSTIFICATION SUBJECT-OBJECT APPROACH TO FORMATION EMPATHIES IN SOCIETY

In the article, on the basis of research on the concept and essence of empathy, a subject-object approach to its formation and development in society is formed within the framework of the inclusive component of social and ethical marketing. In the course of the study, comparative, systemic and cause-and-effect analysis, abstract-logical methods were used.&#x0D; The analysis of the factors of the formation of empathy required their division into objective and subjective in the context of three aspects: changes in the psycho-emotional state, the presence of limitations and the sensitivity of individuals. Each of the factors implies a number of descriptors by which it is determined. Insufficiently formed ability to feel, recognize and foresee the emotional states of others, identify oneself with them, express their sympathy, are obstacles for the effective involvement of disabled people and people with disabilities in the socioeconomic, cultural and life environment in general of the state.&#x0D; The scientific novelty of the research is as follows: within the framework of the development of an inclusive component of the concept of social and ethical marketing. For the first time, the factors of the formation and development of empathy in society through the subjective and object aspects were identified. Which made it possible to form a subject-object approach to the formation and development of empathy in society.
Implementacija modela LRM: konceptualna zasnova uporabniškega vmesnika za katalogizacijo

Changes in the conceptualization of bibliographic data caused by the introduction of the IFLA LRM model have strongly influenced the development and reorganization of cataloging principles and rules, bibliographic formats, and bibliographic information systems.Nevertheless, there is still a lack of both guidance and practices in LRM implementation to show how all the components should be applied consistently in cataloging systems, which we have tried to address by proposing a conceptual design for a cataloging user interface based on the LRM model.We prepared and tested a paper prototype, which is often the first stage in software development.The article summarizes the first cycle or iteration in a prototype development life cycle as applied in our implementation.The proposed prototype presents one of the first faithful implementations of the LRM model in cataloging interfaces.
Some Elements of Modern Algebra and Graphs

Using easy-to-follow mathematics, this textbook provides comprehensive coverage of block codes and techniques for reliable communications and data storage. It covers major code designs and constructions from geometric, algebraic, and graph-theoretic points of view, decoding algorithms, error control additive white Gaussian noise (AWGN) and erasure, and dataless recovery. It simplifies a highly mathematical subject to a level that can be understood and applied with a minimum background in mathematics, provides step-by-step explanation of all covered topics, both fundamental and advanced, and includes plenty of practical illustrative examples to assist understanding. Numerous homework problems are included to strengthen student comprehension of new and abstract concepts, and a solutions manual is available online for instructors. Modern developments, including polar codes, are also covered. An essential textbook for senior undergraduates and graduates taking introductory coding courses, students taking advanced full-year graduate coding courses, and professionals working on coding for communications and data storage.
Known Challenges and the Future

Some parts of Microsoft Teams are new and built with open source technologies, which is a different direction for Microsoft. Due to this (and other reasons), you will possibly find issues with the application when you use it. You will also most likely encounter some limitations in trying to accomplish your tasks as you work with it daily. Although this might sound a bit discouraging, Microsoft is investing in Microsoft Teams a great deal—more so than some of its other software. Depending on when you are reading this book (compared to when it was written), knowing the road map, issues, and user feedback can help make a realistic plan on how to use Microsoft Teams. In this chapter, we discuss issues that may occur when using Microsoft Teams.
Development of a Cluster with Cloud Computing Based on Neural Networks With Deep Learning for Modeling Multidimensional Fields

Introduction. The modeling of multidimensional fields on multiprocessors, with a neural network architecture, which is rebuilt in the process of solving the problem by means of deep learning, is considered. This architecture of the calculator allows the device to be used to solve the problems of passive location, monitoring station, active LPI location station, base telecommunications station at the same time. Particular attention is paid to the use of bionic principles in the processing of multidimensional signals. A cluster computer with cloud computing is proposed for creating a modeling complex for processing multidimensional signals and debugging the target system. The cluster is made in the form of a multiprocessor based on neural network technology with deep learning. Biomimetic principles are used in the architecture of the modeling complex. The purpose of the work. Creation of a modeling complex as a cluster with cloud computing using neural networks with deep learning. The cluster is a neuromultiprocessor that is rebuilt in the process. Results. In the process, we managed to create a multiprocessor, which in the process of computing is rebuilt, to simulate a terahertz 3D Imager scanner using cloud computing. Conclusions. In the process of performing the work a complex for modeling multidimensional signals was created. As the basis of the computer used a cluster that is rebuilt in the process. The computing base consists of neural networks with cloud computing. Keywords: cognitive space, deep learning, convolutional neural network, neural network architectures, cluster.
Inclusive Intelligence

Inclusive education happens when all children and students regardless of their specific features, disabilities or gifts are placed under conditions that enhance their personal potential and talents to develop. Successful inclusive education is being achieved mainly when the differences and diversity among children and students are accepted, comprehended and taken into account. Extremely significant appears also the attitude of the adults applying the integration in practice. All pedagogic professionals and concerned sides such as parents and community are responsible for the inclusion quality. The ability of everybody participating in the inclusion process to support, tolerate and accept the diversity and individuality is in itself intelligence – inclusive intelligence. The degree of inclusive intelligence depends not only on the information volume, knowledge and experience, but also on the willingness of every pedagogic professional to support and accept the diversity in children.
Intelligent Microseismic Events Recognition in Fiber-Optic Microseismic Monitoring System Compared With Electronic One

Fiber-optic seismic sensor has become an emerging effective tool for microseismic monitoring, which is of importance for oil and gas production improvement. When processing the fiber-optic data, the recognition of microseismic events is the first crucial step, which is rarely reported due to the lack of such data. In this paper, based on the features of central data distribution, skewness, kurtosis, energy entropy, etc., the classification accuracy of microseismic (MS) events obtained by fiber-optic MS monitoring system and electronic one is compared using machine learning algorithm (e. g. SVM and KNN) for the first time. The results show that fiber-optic data has higher classification accuracy than electronic data when using the feature of central data distribution owing to the high signal-to-noise ratio of fiber-optic data. However, when choosing the features of energy entropy, zero-crossing rate and the energy proportion of specific frequency band, electronic data has higher classification accuracy than fiber-optic data benefiting from the longer events duration and the lower frequency components of electronic data. When using skewness and kurtosis, the classification performance in fiber-optic data is almost consistent with the electronic one. Moreover, the results indicate that the characteristics of MS signal itself have a greater impact on the discrimination ability of MS events than the applied machine learning classification algorithm.
Volume II of Voids

Volume II of Voids is an intelligent interactive art experience that is generated based on the voids between humans. Inspired by the social distancing regulations during the pandemic, people are disconnected physically by keeping social distance to avoid spreading the Coronavirus. It influences the way we live, communicate, and socialize in a profound way. When we keep our distance from other people, what is the volume of voids? How do those negative spaces connect us and shape our connections as a new normal of intricate social networks?