Reviewerly/exHarmony huggingface dataset:
Professional autonomy and administrative during the pandemic digitalization: The perspective of university teachers

Digitalization of higher edu- cation and the accompanying academic and expert discussions began long be- fore the COVID-19 pandemic. However, the transition to remote learning at Russian universities in 2020 actual- ized a new round of debates on how the use of digital technologies is changing the landscape of higher education, the roles and modes of work of academic professionals. This paper is based on a series of semi-structured interviews with the teaching staff of 37 Russian universi- ties, which were collected in March-June 2020. Interviews were aimed at the complex analysis of the teaching profes- sion transformations in the conditions of remote force majeure. The key attention is paid to the transformations of academ- ic autonomy in the new conditions. We show that in the conditions of forced remote teaching, two multidirectional trends are observed. On the one hand, in the context of an unprecedented natural experiment on the mass transfer of all work processes to a remote format, there is a revival of traditional forms of aca- demic autonomy through the self-organ- ization of the teaching community, the emergence of networks of cooperation and mutual support between academic professionals. On the other hand, teach- ers note the strengthening of adminis- trative control and bureaucratization of the educational process. In some cases, this leads to an escalation of the con- flict between the administration and the teaching community and is perceived by the latter as a threat to academic auton- omy. The presented analysis concludes with a discussion of possible measures that can be taken to reduce the potential negative effects of the identified trends on the entire higher education system. © 2021 Russian Public Opinion Research Center, VCIOM. All rights reserved.
Continuous-variable quantum repeaters based on bosonic error-correction and teleportation: architecture and applications

We report a teleportation-enabled continuous-variable quantum-repeater architecture assisted by the Gottesman-Kitaev-Preskill code to significantly suppress the physical noise. This architecture significantly improves the performance of three representative use cases for quantum communication and sensing.
Photonic Artificial Intelligence Using Complex Photonics: Reservoir Computing and Decision Making

We overview recent progress in photonic artificial intelligence. We demonstrate reservoir computing using multiple reservoirs of semiconductor lasers with optical feedback. We perform decision making for solving the multi-armed bandit problem using synchronization of laser network.
Automotive use cases: from the real time data ingestion to the data analysis of connected vehicles.

The growing computerization and the increasing diffusion of data collection and storage technology leads to an increasing availability of data. New modern cars can give their owners many new benefits, thanks to Big Data Analytics. Many supply chains start implementing sensors on cars that, at first, were not planned as connected vehicles. This thesis illustrates the existing infrastructures, architectures and tools in the Big Data field and how these data are analyzed and used in various automotive use cases. The main objective of the thesis is the implementation of a scalable solution, which is not other than a pipeline that includes a series of steps, ranging from the ingestion of real time data to the analysis of the data itself with appropriate machine learning algorithms to provide useful information in terms of real-time vehicle monitoring.
Integrating Quality Assessment Through Metrics into Scrum Software Development

Metrics are advantageous for all software development companies to assess and ensure quality. Therefore, integrating metrics is essential throughout the software development process to track, and correct deviations, and improve continuously. In this paper, we examine how to integrate quality assessment through metrics into the Scrum development process through a new approach entitled Metrics for Quality in Scrum (MQScrum). The MQScrum approach makes a valuable contribution to track Scrum projects even if using agile project management tools without slowing teams down. So, it facilitates the teams monitoring quality, discovering problems, and making the appropriate improvements thanks to the MQScrum reports. Firstly, we introduce a Scrum meta-model enhanced by metrics-related concepts. Then, we represent a layered model for our MQScrum approach illustrating the data processing across three layers from the Scrum process layer to the layers of Scrum concepts and finally to that of metrics. Consequently, the proposed solution is an alignment of the Scrum process with a metric-based Scrum system. Finally, it demonstrates process tasks from which pertinent data is collected and then stored in a database based on Scrum and metrics related concepts.
QR-CODE DAN PEMBELAJARAN KOSAKATA: SENTUHAN DIGITAL DALAM PEMBELAJARAN BAHASA JERMAN

Digital media in the era of the industrial revolution 4.0 plays an important role in all aspects, including in the field of education. This paper describes the use of QR-Code as a digital media in learning German vocabularies. This study used a qualitative approach and was supported by quantitative data. The first data was the use of QR-Code as a digital media to learn German vocabularies in learning process, while the second data was learner’sperspective of the learning German vocabularies by using QR-Code. In collecting the data,field note, observation, questionnaire, and documentation were used and the data resultedwere in the forms of qualitative and quantitative one. The data were analyzed qualitativelyand described descriptively. The data source were students of German as a Foreign Language Program in Universitas Negeri Malang, who attended Deutsch auf B2 Niveau course and were in B1.1 level according to CEFR standard. The study indicates that QR-code can be used asan alternative of digital media to learn German vocabularies. Students were active and anthusiastic about it during the learning process. In addition, students find that the use of this digital media was useful and fun.Kata Kunci: DaF, German vocabulary learning, QR-Code, digital media
Correlation Filters Based on Strong Spatio-Temporal for Robust RGB-T Tracking

In this paper, we propose a strong spatio-temporal mechanism with correlation filters to solve multi-modality tracking tasks. First, we use the features of the previous four frames as spatio-temporal features, then aggregate the spatio-temporal features into the filters learning and positioning of the adjacent frame. Second, we enhance the temporal and spatial characteristics of the current frame filter by learning the previous four frame filters and spatial penalty. From the experimental results on the GTOT, VOT-TIR2019 and RGBT234 datasets, our strong spatio-temporal correlation filters has achieved excellent performance.
Advanced Algorithmic Music Systems

This chapter builds on the previous discussion of procedural music, examining the advanced capabilities of custom-built algorithmic music systems, and how they can respond to minute changes in game data. This exploration examines <italic>Uurnog Uurnlimited</italic> (2017), a game developed by Niklas Nygren (aka Nifflas), which features such an algorithmic music system. Nifflas designed <italic>Uurnog</italic> with real-time audio generation as a key feature of the gameplay experience, even going so far as to create a stand-alone music system called <italic>Ondskan</italic> to give himself nearly unlimited control over how a procedural musical score is attached to game data. Through the exploration of advanced reactive music systems, the reader will encounter many tools useful in thinking outside the box when crafting a music design for a game. These tools can give developers multiple approaches for creating scores that adapt to each play-through and provide the player with a uniquely personalized score.
LibGuides: Data Services: Data Resources

Learn more about managing your research data and resources to collect data Open source data and List of Guidelines for Licenced Use of E-Resources
COLLECTION AND ANALYSIS OF DATA FROM THE EXPERIMENTAL COMPLEX AP7000, PROCESSING USING DEEP NEURAL NETWORKS

COLLECTION AND ANALYSIS OF DATA FROM THE EXPERIMENTAL COMPLEX AP7000, PROCESSING USING DEEP NEURAL NETWORKS Maria Zolotukhina Master in Computer Control and Information Processing in Technical Systems MIREA-Russian Technological University,
LibGuides: Virtual Teaching: Articles and Databases

When the COVID-19 pandemic hit, school and community leaders turned to virtual learning as a safe alternative to returning to school traditionally full-time. For many teachers, this was the first time ever teaching in such an environment, though it is cle
Penerapan Model Direct Instruction Berbantuan Media Power Point untuk Meningkatkan Hasil Belajar Siswa Kelas I SD Negeri 4 Sebatu Tahun Ajaran 2020/2021

This research was carried out at SD Negeri 4 Sebatu in Class I, where the ability and learning outcomes of students to study Theme 3 My Activities were still low. The purpose of writing this classroom action research is to find out whether student learning outcomes can be improved by applying the steps of the Direct Instruction learning model. The data collection method is a learning outcome test. The results obtained from this study are student learning outcomes can be improved by applying the steps of the Direct Instruction learning model. 65.36 with a percentage of classical completeness 46.42% and an increase in the second cycle the average value becomes 68.92 with a percentage of classical completeness 85.71%. The conclusion obtained from this study is that student learning outcomes can be improved by applying the steps of the Direct Instruction Learning Model.
Principles for Designing Authentication Mechanisms for Young Children: Lessons Learned from KidzPass

Young children routinely authenticate themselves with alphanumeric passwords but are probably not ready to use such passwords due to their emerging literacy and immaturity.They might adopt insecure coping tactics, which could become entrenched.Because children have a superior pictorial recognition ability, graphical authentication mechanisms will likely represent more suitable mechanisms for this demographic.We propose and study KidzPass, a configurable graphical authentication framework that one can use to tailor these mechanisms for children of different ages.We carried out two empirical investigations with four-to five-year-old children and with six-to seven-year-old children using personalized images as secrets (familiar faces and self-drawn doodles).KidzPass proved efficacious and our younger (four-to seven-year-old) participants mostly preferred it to text passwords.The personalized images maximize memorability but take significant time to obtain.As children mature, it might be possible to replace personalized images with generic images.Thus, we carried out a final empirical study with older children using generic images (that we chose).From this study, we found that that generic images can indeed be viable if they display particular qualities, which we enumerate.From our experiences and the research literature, we conclude by providing principles to inform efforts to design and evaluate age-appropriate authentication mechanisms for young children both from an ethical and technical perspective.
Article 22—Right of Revocation

Abstract This chapter discusses Article 22 of Directive 2019/790, a European copyright directive in the Digital Single Market, which focuses on the right of revocation. It clarifies the right of the author or performer to revoke in whole or in part the licence or the transfer of rights where there is a lack of exploitation of that work or other protected subject matter. It also looks at specific provisions for the revocation mechanism in the national law that takes into account specificities of the different sectors and the different types of works and performances. The chapter cites the task of Member States to exclude works or other subject matter from the application of the revocation mechanism if such works or other subject matter usually contain contributions of a plurality of authors or performers. It explores the options of authors or performers to terminate the exclusivity of their contract instead of revoking the licence or transfer of the rights.
The Influence of Comic Learning Media on Basic Movement Activities in Basic School Students

As an educator should be know and be able to make a reform in education in order to develop a conducive learning process so as to obtain maximum results. One form of renewal of learning is to use effective instructional media, interesting, fun and meaningful for students. This study aims to determine whether there is any difference in the activity student before and after the treatment by using the comic media. It is assumed that there are significant differences, as defined in the hypothesis that there is a significant difference between the activity students who use the comics sains media and students who do not use the comics sains media in the process of learning. This study used a design post test only control group design. The population is student in junior school entire III class. Sampling was done randomly (random sampling). The variables in this study is the use of the comic media, activity student learning. Data collected by the experimental method, observation, and documentation. The results of the study showed that the observation sheet student activity in the experimental class ( 87.69 % ) higher than the control class ( 61.34 % ). Students who use the comics media in the learning process is increase to a activity learning.
Adaptive Distributed Systems Spanning Cloud-Edge Networks

Author(s): Noor, Joseph George | Advisor(s): Srivastava, Mani | Abstract: The edge computing domain is notably diverse in its composition. Capabilities including sensing, actuation, and mobility are often constrained by limitations such as those in energy, storage, and hardware-specific implementations. Leveraging the diversity of cloud-edge systems when building applications pose fundamental challenges that constrain expressivity, portability, and reconfigurability. Given this complexity, system tooling is necessary to aid application development and deployment in order to provide a stable runtime foundation by which environment dynamics can be accounted for. This dissertation explores the notion of incorporating self-awareness into autonomous systems spanning the cloud and edge, such that they might observe the constantly changing state of their applications and resources to implicitly adapt for optimized behavior. Key thrusts include (1) DDFlow, a macroprogramming abstraction that organizes distributed applications into a visual dataflow representation, (2) Portkey, an adaptive key-value store that reconfigures data placement based on access patterns, and (3) EdgeRM, a distributed resource manager that unifies a heterogeneous computing cluster spanning high-performance servers and low-power sensors, which leverages a WebAssembly execution model and system interface extension for unified sensing.Ultimately, this research seeks to lift IoT and embedded devices into the general-purpose computing domain, thereby enabling a carry-over of technical contributions pioneered by the distributed systems community. As systems researchers continue to introduce new paradigms in how to design, deploy, and support applications spanning cloud-edge, our community can help manage the difficulty in harnessing the capabilities of these networks.
INOVASI LAYANAN PERPUSTAKAAN DI MASA PANDEMI COVID-19 : STUDI KASUS DI PERPUSTAKAAN FAKULTAS EKONOMIKA DAN BISNIS UNIVERSITAS DIPONEGORO

The Covid-19 pandemic outbreak, which was first discovered in China, has now spread in various parts of the world, including Indonesia. To deal with the spread of this epidemic, the government and several Diponegoro Universities issued several regulations that were used to minimize the spread of the Covid-19 virus. The existence of a number of these regulations have an impact on activities that occur in the community and also the activities of learning activities in universities. All activities are shifted from being carried out on campus to at home. This makes the academics of Diponegoro University unable to access information resources in the library. Libraries make some anticipatory steps to overcome this obstacle, namely among them is to optimize the sources of information available and make some innovation services that exist in the library at this time. This is done so that the main purpose of the library to be able to provide satisfaction to users of the services provided can be fulfilled.
VUT Libraries: Faculty of Applied and Computer Sciences: Database of the month - ProQuest E-Book Central

This guide contains genral library information for the Faculty of Applied and Computer Sciences. The ProQuest E-book Central – platform combines e-book content from several other ProQuest e-book platforms, into a single interface.
Difficulties in Mastering Universal Educational Cognitive Actions of Students in the 6th and 8th grade (Based on the Results of Diagnostic Work)

The author characterizes the problems of sixth-and eighth-graders in mastering universal educational cognitive skills in geography lessons; reveals typical mistakes and the reasons for their admission, describes methodological recommendations for their elimination.
Amazon scores legal victory in fight for Pentagon, Microsoft war cloud contract

Amazon filed a lawsuit in November challenging the Pentagon’s decision to award the massive contract to Microsoft.
Synchronous-Asynchronous Simulated Kalman Filter Algorithm with Random Switching

The original Simulated Kalman Filter (SKF) is an optimizer that employs synchronous update mechanism. The agents in SKF update their solutions after all fitness calculations, prediction process, and measurement process are completed. An alternative to synchronous update is asynchronous update. In asynchronous update, only one agent does fitness calculation, prediction, measurement, and estimation processes at one time. A recent study shows that the asynchronous SKF outperforms synchronous SKF. In this study, synchronous and asynchronous mechanisms are combined in SKF. At first, the SKF starts with synchronous update. If no improved solution is found, the SKF changes its update mechanism. The decision to switch from synchronous to asynchronous or vice versa is made randomly. Using the CEC2014 benchmark test suite, experimental results indicate that the proposed synchronous-asynchronous SKF with random switching outperforms the asynchronous SKF including the synchronous SKF as well.
MATLAB Cryptography Functions

One of the most important elements in cryptography is the bit, the foundation of digital information. Working with bits requires different logical operations, such as OR, AND, or XOR. MATLAB implements these operators automatically, as well as some types of conversions to bits, as you will see in this chapter. Other important aspects of cryptography are arrays or matrices. These have many applications, for example, the elements of a finite group are stored in an array, and the key of an encryption system uses matrices to be generated. In this chapter, you will see some of the most important functions that work with bits and matrices.
PHONOLOGICAL INTERFERENCE OF BANJAR HULU BANJARESE IN PRONOUNCING ENGLISH VOWELS AND CONSONANTS

This research aims to describe the phonological interference of Banjar Hulu Banjarese made by English Language Education Study Program FKIP ULM Batch 2019. It is a descriptive study that investigates interference phenomenon on phonology level. The subject of this research is the students of the English Language Education Study Program of FKIP Lambung Mangkurat University, who speak Banjar Hulu Banjarese as their mother tongue. The instruments used in this research are questionnaires and oral tests. In order to analyze the interference phenomenon, this research used a generative phonology approach. The study found out that Banjar Hulu Banjarese does interfere with English pronunciation. The interference occurs in English vowels those are: /i:/, /ae/, /ɒ/, /ɔː/, /uː/, /əː/, /ɑː/, /e/, /ə/, in diphthongs, those are; /oʊ/, /eɪ/, /aʊ/, /əʊ/, and in consonants, there are; /tʰ/, /pʰ/, /kʰ/, /f/, /v/, /b/, /d/, /g/, /θ/, /ð/, /z/, /ʃ/, /ʒ/. Based on the result of this research, the researcher suggests the students of English Language Education Study Program whose background is Banjar Hulu Banjarese need to practice how to pronounce the vowel and consonants in English correctly, especially for the phoneme that got interference. They also need to raise their awareness in English sounds so that they will not overgeneralize the sound of particular vowels or consonants in particular words. The researcher also suggests that lecturers who teach English consonants and vowel pronunciation do more drilling in teaching and learning progress.
An Improved Programmable Neural Network and VLSI Architecture Using BiCMOS Building Blocks

A typical programmable neural network (PNN) implementation based on mixed analog/digital design have been proposed in [1]. In this paper, we analyze its basic circuits, including synapse and neuron, and improve their performance using BiCMOS technology. The corresponding PNN architecture in VLSI are developed and two kinds of building blocks, which are simpler since digital signals can be directly applied as programmable weights, are used in the architecture. Compared with the previous design, simulation results show that this PNN architecture can provide more accurate weight currents up to 30 times, and less silicon area and more driving capability by the factor of 2 and 3, respectively.
The modern education system in Russia

The article deals with the role of a modern teacher of higher education. The emphasis is on changing the approach to the process of obtaining and transferring information, including modern communication technologies and the Internet. The article defines the role and functions of the state and civil society in ensuring national interests through the formation of a high-quality and affordable higher education system in the Russian Federation that meets the modern challenges. Goals. Exchange of pedagogical experience and the possibility of its application taking into account local specifics. Methods. Based on experience in scientific, pedagogical and economic activities, using examples of administrative and other regulation of the education sector, the authors focus on the problems in the field of higher education, including those caused by the COVID-19 pandemic. They offer the ways to solve these problems taking into consideration the examples of their own practice as well as Russian, Soviet and world experience. Results. The education system is always sensitive and responsive to changes in society. Following the development of human, industrial, and economic relations, the educational system of relations is developed as well. Thanks to the perfection of modern information and communication technologies, new opportunities for teacher-student interaction appear allowing not only to expand the scope of joint activities, but also to make the learning process to be more individualized. At the same time, if the modern generation does not understand the fundamental role of knowledge that a teacher can give, so the speculative, marketing, and other technologies for studying and influencing mass behavior and consciousness can suppress the will and conscience of a person and deprive him free choice in the future. Conclusions. The quality of human resources, as an important component of the productive forces of society, determines sustainable growth and the development of the socio-economic model. It is necessary to increase an attention to the training of highly professional specialists, citizens and patriots, to educating a generation of future builders of a new prosperous Russia.