Reviewerly/exHarmony huggingface dataset:
ИСТОРИЯ ФИЗИКИ: ВЧЕРА И СЕГОДНЯ (по материалам музея Томского государственного университета)

The article is based on the materials of the Museum of Tomsk State University and the story of the head of the Museum Ida Nikolaevna Anokhina. The history of science allows us to understand the dynamics of science, the evolution and struggle of ideas, to foresee the development of science in the future. Education of humanism and morality, observance of values is a topical issue of any society. Nothing contributes so much to the General development and formation of consciousness as familiarity with the history of creative efforts of mankind in the field of science, reviving in the lives of great scientists of the past and in the history of the evolution of ideas - these words of P. Langevin makes it clear the essence of the history of science for society. The authors share impressions after their visit to the Museum of physics of Tomsk State University.
A Methodological Process for the Design of Frameworks Oriented to Infotainment User Interfaces

The objective of this paper was to propose a methodological process for the design of frameworks oriented to infotainment user interfaces. Four stages comprise the proposed process, conceptualization, structuring, documentation, and evaluation; in addition, these stages include activities, tasks, and deliverables to guide a work team during the design of a framework. To determine the stages and their components, an analysis of 42 papers was carried out through a systematic literature review in search of similarities during the design process of frameworks related to user interfaces. The evaluation method by a panel of experts was used to determine the validity of the proposal; the conceptual proposal was provided to a panel of 10 experts for their analysis and later a questionnaire in the form of a Likert scale was used to collect the information on the validation of the proposal. The results of the evaluation indicated that the methodological process is valid to meet the objective of designing a framework oriented to infotainment user interfaces.
Fault Tolerance in the ADF Framework

The previous chapter covered logging functionality for the Azure Data Factory version of the SSIS framework’s execution engine. Differences in functionality available to SSIS packages and functionality available to Azure Data Factory pipelines drove design changes.
Best Computer For Animation Work

To run your 2D, 3D, or virtual reality effectively as a professional animation creator, you will require the best kind of computers as your work ...
Whisper, Speak, Sing

Whisper, Speak, Sing is a string quartet which seeks to explore the affect of spokenword using instruments. The poem Alice, Bewildered, by A.E. Stallings was broken downinto its phonetic components and recontextualized into sounds that a string quartet couldreproduce. No text remains from the poem and no formal structures within the work werederived directly from the poem. The composer’s rhythm of speaking the poem derived theformal elements of the piece. This leads the ensemble to play with atypical (extended)techniques, some of which were derived directly by the composer. Primarily thesetechniques focus on creating the initial attack sounds produced by the human voice. Vowel sounds were interpreted as pitch materials at the digression of the composer. The sonic space seeks to create the atmosphere of the poetry in the mind of the listener, bridging the gap between physical and mental soundscapes.
Predicting cryptocurrency defaults

© 2020 Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in Applied Economics Letters on 03 May 2020, available online: http://www.tandfonline.com/10.1080/00036846.2020.1752903
The Effect Of Using Clustering Technique To Improve Students' Writing Achievement In Descriptive Text At Eighth Graders Of SMP Negeri 2 Tarakan

AbstrakTujuan dari penelitian ini adalah untuk mengetahui efek dari penggunaan Teknik Clustering pada pencapaian prestasi siswa dalam menulis teks deskriptif di kelas delapan SMP Negeri 2 Tarakan. Rancangan penelitian ini adalah berbentuk Pra-eksperiment dimana penelitian ini digunakan untuk mengetahui perbedaan hasil belajar sebelum dan setelah pembelajaran dengan menggunakan Teknik Clustering. Subjek penelitian ini adalah siswa kelas VIII-C yang terdiri dari 32 siswa-siswi di SMP Negeri 2 Tarakan. Instrumen yang digunakan pada penelitian ini berupa tes tertulis yakni writing test. Test tertulis ini dilaksanakan pada saat sebelum (pre test) dan sesudah (pos tes) dalam pembelajaran yang menggunakan Teknik Clustering di kelas. Hasil penelitian ini menunjukkan bahwa adanya perbedaan skor rata-rata antara pra tes dan pos tes. Hal ini dibuktikan dengan hasil skor rata-rata siswa. Rata-rata skor yang diperoleh siswa terdapat perbedaan yang signifikan antara pra tes dan pos tes. Hasil rata-rata skor pra-tes adalah 46.31 dan hasil rata-rata pos tes adalah 71.56. Selanjutnya, hasil paired sample t-test menunjukan bahwa hasil tersebut (12.877) lebih tinggi dari nilai t-table (2.039). Berdasaran hasil t-test tersebut, peneliti menyimpulkan bahwa penggunaaan Teknik Clustering terbukti efektif dalam meningkatkan prestasi belajar siswa dalam menulis. Disamping itu, penggunaan teknik clustering dapat mengembangkan berpikir kritis siswa, meningkat motivasi belajar siswa dan membuat siswa lebih aktif dikelas.AbstractThe purpose of this study was to investigate effect of using clustering techniques on achievement in writing descriptive texts of eighth grade students of SMP Negeri 2 Tarakan. Using a pre-experimental design, this study was to determine differences in the students’ writing achievement before and after taught using clustering techniques. The subjects of this study were 32 students of class VIII-C of SMP Negeri 2 Tarakan. The instruments used in this study were writing tests administered before (pretest) and after (posttest) the treatment. The result of this study indicated that there were a difference in the mean scores between the pretest (46.31) and the posttest (71.56). Furthermore, the results of paired sample t-tests showed that the calculated t value (12,877) was higher than the critical t value (2,039). It was concluded that the use of clustering techniques was effective in increasing the students’ achievement writing descriptive texts. In addition, the use of clustering techniques was able to develop students’ critical thinking, increase student learning motivation and make students more active in the class.
Instagram, a Tool for Teaching your Students

Instagram is nowadays a popular social network, with over 1 million users worldwide on mobile devices (Clement, 2019), so it has become an essential application among young people. This makes Instagram an excellent channel to reach students, a mainly young audience.
CYBERWISER.eu: Innovative Cyber Range Platform for Cybersecurity Training in Industrial Systems

Information technologies are nowadays part of industrial systems. Employees in charge of managing these systems typically have little or very little knowledge of cybersecurity. In this work we initially explore the challenges related to cybersecurity training in industrial systems and then we propose an approach based on CYBERWISER.eu cyber range platform. A cyber range provides a multipurpose virtual environment in which organisations can test critical capabilities and reveal how effectively they integrate people, processes, and technology to protect their strategic information, services, and assets. By facilitating high-fidelity simulations, a cyber range can associate the cybersecurity training phase with a personalized security testing, together with a unit testing, on different kind of systems, including SCADA.
Chromatic and spatial analysis of one-pixel attacks against an image classifier

One-pixel attack is a curious way of deceiving neural network classifier by changing only one pixel in the input image. The full potential and boundaries of this attack method are not yet fully understood. In this research, the successful and unsuccessful attacks are studied in more detail to illustrate the working mechanisms of a one-pixel attack created using differential evolution. The data comes from our earlier studies where we applied the attack against medical imaging. We used a real breast cancer tissue dataset and a real classifier as the attack target. This research presents ways to analyze chromatic and spatial distributions of one-pixel attacks. In addition, we present one-pixel attack confidence maps to illustrate the behavior of the target classifier. We show that the more effective attacks change the color of the pixel more, and that the successful attacks are situated at the center of the images. This kind of analysis is not only useful for understanding the behavior of the attack but also the qualities of the classifying neural network.
Deep Convolutional Framework for Perception Systems in Intelligent Autonomous Vehicles

Deep Learning algorithms can facilitate and strengthen sophisticated ADAS/Autonomous vehicle technologies to a large extent. Vision based perception functions powered by modern sensor networks in combination with Convolutional Neural Network (CNN) models can provide cutting-edge results in computer vision problems. The paper encompasses different types of deep learning architectures, some popular vehicular datasets and the most viable deep learning libraries for implementing the autonomous driving algorithms. In this paper, convolutional model algorithm is designed using Keras to train the dataset and is evaluated which provided considerable accuracy rate to implement them in future object detection algorithms. CNNs can provide state of the art solutions for the problems related to perception related tasks such as classifying objects, traffic environment understanding and taking appropriate actions.
Bypassing Two Factor Authentication Based On Classification Using Aho-Corasick Matching Algorithm For Nosql Databases

This paper presents a new method to protect the applications against NoSQL injection. NoSQL-Injection Attacks are a class of attacks that many of these systems are highly vulnerable to, and there is no known fool-proof defense against various attacks. Despite all vulnerabilities, two factor authentications remain the safest way to protect user accounts in traditional web apps. Two bypasses of factor authentication can occur from time to time, with various techniques involved in those attacks; the only way to do this is to maintain an iteration of one's approach to two authentication factor tests
LibGuides: External relations: Home

Subject guide on the Council's Library information sources on foreign affairs and EU relations with third countries
Digital tools in Latin American university education

Introduction: Digital tools (DT) in education can be defined as the set of applications and platforms that can help both teachers and students in their academic work. Its use in higher education has been increasing and in recent years there have been a large number of publications on the benefits of several of these tools. Although there are classifications of DT, they are found within the “gray literature” that can be found on the web and there are few published works. Objective: To describe the research on digital tools in Latin American higher education carried out in the last decade. Methods: Exhaustive searches of the literature were carried out taking into account the PRISMA Statement under a quantitative-descriptive approach in four databases: EBSCO, DialNet, Scielo, and Redalyc between 2011 and 2020. The classification and analysis were conducted manually by a single reviewer. Results: 57 articles were included; 52.6% belong to digital platforms; 21.1%, to repositories and 17.5% to digital media. Mexico is the country with the highest article production, followed by Ecuador and Colombia. The qualitative approach and descriptive design were the most used, and the highest production was located in 2019. Conclusion: The most researched digital tools were digital platforms, followed by repositories. They were studied mainly for their pedagogical and research possibilities. There is an open field for the study of social networks and referral managers in higher education.
LibGuides: Guide to Zoom for RSOs: Zoom Tricks and Tips

Learn how to set up, run, and record meetings on Zoom for on-campus clubs and RSOs. You'll also find some tips and tricks for making Zoom more fun and ideas for Zoom parties!
Why the current model of development has failed to capture the reality of youth in the Global South

Today, youth unemployment is deemed to be the most serious challenges confronting many developed countries. However, the situation is an especially serious concern in the Global South, where the neoliberal system has resulted in youth unemployment, marginalization and social exclusion. This article draws on the existing literature to analyse the issues of unemployment in Morocco. While the most recent reports show that university graduates are the most affected groups by unemployment rates, this article focuses mainly on the issue of unemployment among university graduates. This article argues that youth unemployment policy has to be understood in the context of neoliberal and its austerity policies, where youth unemployment can never overcome while the neoliberal state keeps decreasing public expenditure and privatising the public resources. These policies are meant to work as the ‘shock therapy’ of liberalization: the highly visible action that was to make the ‘bitter pill’ of adjustment easier to swallow.
LibGuides: EDUC 4302: How to Videos-books, journals etc.

For new class Professor WHITE. Looking for resources that we can use in the classroom, videos, peer-reviewed journal articles. How to Search for Books, Journal Articles, and our Discovery Tool- HBU OneSearch
Sistem Pendukung Keputusan Penerima Pembiayaan Akad Qordh Menggunakan Metode Analytical Hierarchy Process dan Weighted Product

Islamic financial services unit is a business unit in a cooperative whose business activities are engaged in financing, investment and savings in accordance with the profit sharing pattern (sharia). This study aims to create a Decision Support System to determine the acceptance of qordh contract financing using the Analitycal Hierarchy Process (AHP) method used to determine the criteria weights and the Weighted Product (WP) method is used to determine the qordh contract financing recipient ranking. Obtained the results of the AHP method calculation with the highest priority, namely the guarantee criteria with a value of 39%, the criteria for work with a value of 24%, the criteria for the amount of financing with a value of 9%, the term criteria with a value of 9%, the age criteria with a value of 14%, and the last criteria financing history with a priority value of 4%.Based on the WP calculation results, the first recommended alternative results obtained qordh contract financing is alternative 7 with a V_7 value of 0.159, followed by alternative 3 with a V_3 value of 0.109, alternative 1 with a V_1 value of 0.105, alternative 6 with a V_6 value of 0.098, alternative 8 with a V_8 value of 0.096, alternative 9 with a V_9 value of 0.093, alternative 4 with a V_4 value of 0.082, alternative 5 with a V_5 value of 0.081, alternative 2 with a V_2 value of 0.061, alternative 10 with a V_10 value of 0.057, and the The last is alternative 11 with a value of V_11 which is 0.056.
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An Efficient Framework for Resource Optimization and Task Scheduling in Cloud Computing

Cloud computing is the provision of computer services through the cloud (Internet), such as servers, storage, databases, networks, software, analytics, intelligence, etc.Cloud computing provides an alternative to local data centers. We can rent out any necessary services.Cloud optimization is the action of correctly selecting the right resources and assigning them to workloads or applications. Efficiency can be achieved when workload performance, compliance, and cost are balanced with the most suitable infrastructure in real time, correctly and continuously. Load balancing in the cloud is the distribution of workload across multiple computer sources. DNS load balancing uses software or hardware to perform functions, while cloud load balancing uses services provided by various computer network companies. Resource allocation (RA) is an important aspect of cloud computing. It can provide cloud resources to cloud consumers and provide services based on traffic. The cloud resource manager is in charge for allocating available resources to tasks for execution in an effective manner, thereby improving system performance, reducing response time, shortening the validity period, and effectively using resources. Therefore, resource mapping is predominant matter when considering task allocation and load balancing. This article aims to focus on solving problems related to task allocation by using the recommended optimization algorithm and applying the recommended load balancing algorithm, and then implement resource mapping.
Review Paper on Different Testing Approaches for Aspect–Oriented Software

Aspect-Oriented Programming (AOP) is an extension to the Object-Oriented Programming (OOP). There are four main principles of the OOP: inheritance, polymorphism, encapsulation and abstraction. When anyone develops large software in OOP, some common features as logging, security, etc are scattered in different modules. For large software there may be a large number of methods included in a module along with the common features of the software. In an OOP a module suffers from code tangling and scattering problems. AOP is developed to reduce the scattering and tangling problem of OOP. This is the new technique. Many research works are going on the AOP. Here we reviewed many research papers on the AOP testing. We have included many papers from good Journals/Conferences.
Impacts, challenges and trends of digital transformation in the banking sector

Driven by the 2020 pandemic’s work-at-home mandates, the future of work in banking and finance may be in the midst of disruptive change. The digital transformation process of banks sees the development and strengthening of digital channels as one of the first and most important stages, without prejudice to the importance of the physical channel for specific needs. On the one hand, this duality between digitization and the human factor is reflecting in the multichannel strategies of the banks, which are increasingly moving towards a synergy between digital channels and human touch. On the other hand, a thorough review of customer service logics leads banks to review the operation of internal processes, introducing elements of innovation through structured work paths that lead to the construction and management of an innovation strategy. Accordingly, society wide trust in the use of digital instruments and processes in finance has bounded forward. Artificial intelligence, machine learning, big data analytics, blockchain ledgers, digital money, and myriad digitally developed financial derivatives are losing their mystery both inside and outside institutions and companies operating in banking and finance. The 2020 year represented a major watershed between the world before and after the pandemic. The health emergency, in fact, has profoundly changed people way of living, relating, working, training and make financial operations. The year 2021 will be decisive for the integration of digital technologies in the banks, changing both the degree of centralisation / decentralisation of decisions and the management of information and knowledge. As a result of both the economic crisis and more restrictive regulation, the bank’s top management has become very sensitive to having everything more directly under control. The organizational pyramid has consequently to be simplified and flattened. The disruptive growth of societal trust in digital banking and finance could ac-celerate to achieve higher levels of efficiency, requiring the bank to learn, develop new knowledge and innovate, in order to achieve the necessary condition for its vitality in a competitive environment.
The Beauty of Fractal Patterns in Geology

Marked presence of the classical geometric patterns to floral motifs all around us has inspired the scientific community to establish common ground between the glimpses of nature's beauty and the abstract mathematics.Such fascinating self-repeating patterns are referred to as Fractals.The natural elegant patterns frequently mentioned as the finger mark of God bring unique inventiveness of nature to vanguard.Interestingly, Ammonites possessing shell patterns similar to the modern snails follow the Fibonacci sequence.Like-wise fish fossils also exhibit fractal patterns that bear a resemblance to tree branches and hyperbolic graphs.The spectacular suture lines in the fossils or the Golden mean in the Nautilus shell or the fractal-like nature of hyperbolic groups that imitate the symmetry of the fish fossils; they all provide an insight into the mathematical definition of symmetry in understanding how nature works.The ubiquitous presence of the divine proportion (φ =1.618) among plants, fossils and even cosmos remains no less astounding.There is a minuscule design at each level and a grand design above all.It is strongly felt that lessons of timeless beauty of universal science of fractals will excite spark among young geologists to look at the sacred geometrical patterns hidden in the geological fossils.
Big Data Analytics using Apache Hadoop

Big data Analytics is a blend of immense and compound data sets that have the enormous capacity of data, social media analytics, data management competence, real-time data. Big data analytics is the process of learning gigantic quantities of data. To examine this vast volume of data Apache Hadoop can be used. Hadoop is an open-source package that allows the distributed processing of hefty data sets across clusters of service servers. It is intended to scale up from a solitary server to thousands of apparatuses, with a actual high degree of fault lenience.
A Study on the Effect of Work Motivation on Job Satisfaction.

The present paper identifies the factors that effects employee motivation and examining its impact on job satisfaction the study adopted a survey research method to collect research data from employees belonging to different functional level at Shree Rangkala Glass Design Pvt. Ltd. where a sample of 60 respondents were selected based on the judgment of researcher and data is collected with the help of questionnaire. The study revealed that various motivational factors affect job satisfaction. Training, Projects and Teamwork, Decision Making and Service Awards and Technology and Best Employee Awards are the factors considered as most influential motivating factors by the employees of Company.
Implementation of Probabilistic Data Structures in the Processes of Neuroevolutionary Synthesis

Neuroevolutionary synthesis is an alternative to training a pre-designed neural network.The use of neuroevolution methods is explained by fewer free parameters, less dependence on the expert, and usually better adaptive characteristics.However, neuroevolution methods are more resource-intensive, because the synthesis uses populations consisting of a large number of networks.Various mechanisms, such as parallelization, can be used to solve problems related to synthesis time.However, they usually lead to even more memory usage in the process.Mechanisms such as selective pressure only partially solve this problem.Probabilistic data structures have proven to be a fairly compact storage mechanism.Therefore, the paper provides an example and analysis of ways to use probabilistic data structures during the neuroevolutionary synthesis of artificial neural networks.