Reviewerly/exHarmony huggingface dataset:
TÜRK DİLİ DERSİNDE MOBİL DESTEKLİ ÖĞRETİMİN ÜNİVERSİTE ÖĞRENCİLERİNİN BAŞARI ODAKLI MOTİVASYONLARINA VE MOBİL ÖĞRENME ARAÇLARINI KABUL DÜZEYLERİNE ETKİSİ

The use of mobile learning applications in the learning process has considerably changed the functioning of learning environments. At this point, the individuals’ readiness and motivation level to use technological tools and their acceptance level for mobile learning tools become important. It was aimed in this study to investigate the effect of mobile-assisted teaching on success-oriented motivations of students and their acceptance levels for mobile learning tools through “Edmodo” application as well as taking the opinions of experimental group students. In order to collect the quantitative data, the pre-test post-test control group quasi-experimental design was employed while the focus group interview was used to obtain the qualitative data. The study group consisted of 1st grade university students who take Turkish language course. In the study, it was concluded that the mobile-assisted teaching (Edmodo) significantly increased both students' motivation and their acceptance level for mobile learning tools; however, it was found out that the current program has not brought about any significant difference.
Experiments with a Socratic Intelligent Tutoring System for Source Code Understanding

Computer Science (CS) education is critical in todays world, and introductory programming courses are considered extremely difficult and frustrating, often considered a major stumbling block for students willing to pursue computer programming related careers. In this paper, we describe the design of Socratic Tutor, an Intelligent Tutoring System that can help novice programmers to better understand programming concepts. The system was inspired by the Socratic method of teaching in which the main goal is to ask a set of guiding questions about key concepts and major steps or segments of complete code examples. To evaluate the Socratic Tutor, we conducted a pilot study with 34 computer science students and the results are promising in terms of learning gains.
Translating Embedding with Local Connection for Knowledge Graph Completion

Knowledge graphs are extremely useful resources for intelligent applications but suffer from incompleteness. We notice that previous translative embedding models ignore the local connection of the head entity which is important in predicting the tail entity in the triplet. In this paper, we propose a model named TransL, which incorporates local connection into the translative embedding model. We design a generic approach to combine all the entities in the local connection which uses different weights to distinguish the contribution degree of different relations. We evaluate our model on link prediction and triplet classification. The experimental results show that TransL is competitive to existing models.
Installing Third-Party Libraries

Installing third-party libraries is confusing for a lot of beginners, especially when they don’t know anything about webpack. But it isn’t hard once you understand how to do it. In this chapter, we will see how to install some of the most common JavaScript libraries. Along the way, we will explore some tips and tricks you can use to install any other library you want beyond the listed examples. Finally, we will see how to use the lazy loading method to import libraries on demand in order to optimize our application.
A Lesson in the Competence Paradigm of the Modern Educational Process

The article defines the features of the lesson in the competence paradigm of the modern educational process, the role of the lesson in the formation of subject and key competencies of students. The features of changing the role of the teacher are revealed, which, in the context of the implementation of the competency-based approach, becomes not only a mentor, an informant, but also a consultant, coordinator. The features of reformatting the classical lesson are determined, the necessity of introducing such mandatory structural components as goal setting and reflection is substantiated. Goal-setting was presented as a process involving the definition of the goals of all subjects of the educational process, their coordination, and, if necessary, the transformation of the teacher’s goals into the student’s goals, because the coordination of the goals lies precisely in the fact that the teacher can transform educational goals into goals for students. Reflection promotes the development of such qualities of the student as independence, activity, responsibility, perseverance, the formation of self-analysis skills and at the same time stimulates self-improvement, promotes the development of exactingness and self-criticism, teaches to formulate goals, see difficulties, problems and ways to solve them, predict results, express your feelings, experiences, be aware of their causes. It was established that the lesson should orient the educational process on the actualization, development and satisfaction of the psychological needs of the individual, on the systematic development of various types of her intellect, intellectual abilities (academic, practical, creative, emotional, social), on the updating of the system of her personal emotional-value relationships (cognitive, practical, creatively searching, moral, aesthetic, interpersonal) in learning.
Digimodernisms teātrī: perspektīva un naratīvs

The digital era has created a new form of textuality, defined ten years ago by British cultural critic Alan Kirby as digimodernism, manifested in both literature and art, and gradually replacing postmodernism. The new media-language theorist Lev Manovich sees similarities in digital art and the aesthetics of the Left Avant-Garde of the 1920s, as well as cinema. In the early and middle 20th-century cinema development produced an impact on modernism art. In the 21st century, digital technologies emerging from film aesthetics leave the footprints in contemporary art and theatre. Identifying the key principles of Kirby’s theory in particular productions allows partial revising Hans-Thies Lehmann’s concept of post-dramatic theatre, and raising a thesis on digimodernism as one of the contemporary tendencies in theatre. Thus, fundamental categories of theatrical language – space, time, character, narrative – are becoming relevant. The article aims to research the narrative in digital art and look for a similar strategy of sense construction in theatre productions, drawing conclusions on the effects of digimodernism on theatre. If a narrative is perceived as a sign system, there are two dimensions – the syntagmatic or “real narrative” and the paradigmatic or a range of choices from which narrative is selectively created. Manovich’s theory proves that in new media language paradigm and syntagma interchange, therefore the paradigm becomes a sense-bearer. Similar principles are applied in modern theatre directing. A typical example is the selected production by Latvian director Elmars Senkovs based on the classic play “Blow, wind!” (Pūt, vējiņi!) by Latvian poet and playwright Rainis. The author of the research concludes that the principles of digimodernism in theatre can change the visual perspective of the stage space, namely, the concepts of “downstage” and “upstage” are often replaced by the terms “top” and “bottom”, making the stage “flat”, similar to a screen. Meanwhile, the central perspective or the narrative as a sense-construction strategy still depends on the intellectual capacity and emotional sensitivity of theatre-makers as interpreters.
Data Set Collection for Flow Delegation

This data set collection consists of 17 data sets used for the analytical / simulative evaluation of the flow delegation concept presented in Delegation: Flow Table Capacity Bottleneck Mitigation for Software-defined Networks. Example code for processing the data sets can be found at https://github.com/kit-tm/fdeval.
Semantic Enrichment Tool for Implementing Learning Mechanism for Trend Analysis

The practice of collecting dataset and attempting to find a pattern for future prediction is known as trend analysis. Due to usage of Internet and accessibility of documents on World Wide Web, the scenario of generating trend analysis has changed. Having the knowledge of trend provides an opportunity to the researchers to know the current popular topics to participate in. To make the trend analysis work better, there arises a need of the tool which can collect the data from the Web and perform the learning mechanism for trend analysis. In this paper, we have developed a system that is capable of identifying keyphrases from text file; classify the keyphrases into a computer science domain. To implement the system, we have developed a crawler that can automatically construct dataset by crawling YouTube videos of computer science playlists. Once the videos and their metadata files are downloaded, we extract the textual data of the videos by transforming the VTT (Video Text Tracks) files of the downloaded videos to the plain text. These plain text files then undergo the keyphrase extraction algorithm, where the keyphrases are filtered and are assigned to specific domains. The domain-related keyphrases files can then be used by the researchers for the purposes like classification, clustering, prediction analysis, trend analysis, recommendation systems and more. We assume that this research will help us further in performing trend analysis of YouTube videos in the domain of computer science.
Perception of Terrain Slope in Real and Virtual Environments

Virtual reality is an immersive technology with potential uses that extend beyond entertainment and gaming. For example, VR could be leveraged for future use in courtrooms. There, VR could be utilized to transport a jury to the scene at issue in a legal matter (e.g., collision location, trip-and-fall site, occupational settings, etc.). For VR to be admitted in a courtroom as an unbiased demonstrative, it is likely that an expert would need to show that VR images represent a veridical depiction of the actual environment. The current studies examined how visual perception of slope for real-world terrain presented in VR compares to the perception of slope for the same terrain when experienced in-person, and via traditional photographs of the terrain (such as are currently used as courtroom demonstratives). Overall, participants’ perception of slope did not significantly differ across the three mediums, indicating that VR provides a faithful representation of slope magnitude, compared to judgments made at the physical site.
Cultural Keywords in Indian English

Pam Peters’s paper on Indian English keywords presents a diachronic approach to identifying cultural keywords, in a combination of historical lexicography and 21st century data from the GloWbE corpus. She focuses on Arabic and Persian words with long histories of use from the Mughal regime (approximately 1600–1800), which managed both India and Pakistan through a Hindi-Urdu contact language (Hindustani), and continued to be used under the British Raj until the partition of India in 1947. A sample of the long-lived Persian and Arabic words show ongoing language–culture connections in references to monetary and legal institutions, as well as traditional foods, costume and entertainment. But other colonial words designating once important roles in handling money and managing large households are now degraded or neutralised in proper names. Traditional terms of reference and address from Arabic are still widely used in online Indian English, to affirm shared social and cultural relationships; and though their connotations of respect or friendship are eroded, they continue to index such values in changing social contexts.
In memoriam of professor Hitoshi Emi

On April 6, 2020, Prof. Emi passed away at the age of 82. He graduated in 1961 from Kyoto University, and continued his studies at the Graduate School of Kyoto University. In 1969 until his retirement in 2003 he worked at Kanazawa University. He started as an associate professor and obtained his doctoral degree from Kyoto University in 1969. He became a full professor of Kanazawa University in 1977 and was the dean of engineering at Kanazawa University from 1995 to 1997.
Deep Signatures

The signature is an infinite graded sequence of statistics known to characterise a stream of data up to a negligible equivalence class. It is a transform which has previously been treated as a fixed feature transformation, on top of which a model may be built. We propose a novel approach which combines the advantages of the signature transform with modern deep learning frameworks. By learning an augmentation of the stream prior to the signature transform, the terms of the signature may be selected in a data-dependent way. More generally, we describe how the signature transform may be used as a layer anywhere within a neural network. In this context it may be interpreted as a pooling operation. We present the results of empirical experiments to back up the theoretical justification. Code available at this https URL.
Pointwise Paraphrase Appraisal is Potentially Problematic

The prevailing approach for training and evaluating paraphrase identification models is constructed as a binary classification problem: the model is given a pair of sentences, and is judged by how accurately it classifies pairs as either paraphrases or non-paraphrases. This pointwise-based evaluation method does not match well the objective of most real world applications, so the goal of our work is to understand how models which perform well under pointwise evaluation may fail in practice and find better methods for evaluating paraphrase identification models. As a first step towards that goal, we show that although the standard way of fine-tuning BERT for paraphrase identification by pairing two sentences as one sequence results in a model with state-of-the-art performance, that model may perform poorly on simple tasks like identifying pairs with two identical sentences. Moreover, we show that these models may even predict a pair of randomly-selected sentences with higher paraphrase score than a pair of identical ones.
Caracterización de minerales de arcilla y óxidos de hierro mediante espectroscopía de reflectancia difusa (VNIR–SWIR)

&lt;p&gt;The mineralogical analysis was carried out through the spectral properties developed by samples of soils and sediments from the northwestern edge of the Duero Basin. The absorptions produced by the oxides and Feoxyhydroxides (mainly hematite and goethite) are located in VNIR zones (400-1200 nm), while the absorption bands that are present in the SWIR spectra (1200-2500 nm) are related to the chemical composition of clay minerals. The reflectance spectra measured in the laboratory have been normalized by using the methods of Continuum Removal (CR) and the second derivative (SD). This last method can solve the band overlapping because it quantifies subtle drops in the curve. This has allowed the absorption bands to be examined separately by measurement of their geometrical parameters. The proportion of the minerals affects the spectral response and, accordingly, the values of the parameters. Linear correlations were conducted between these values and the proportion of the different mineral phases obtained by X-ray diffraction. In the studied parameters, the correlation between the band center (BC) position in the maximum absorption around the wavelengths at 890-960 nm and the absorption feature depth at 470 nm (D470) has enabled a relative estimation of the proportion of hematite/goethite. As for the distribution of the different clay minerals, a correlation has been established between the proportion of kaolinite and the absorption bands depth at 1415 and 2210 nm, and in the absorption features near 1390 and 2160 nm, analyzed in SD.&lt;em&gt;&lt;/em&gt;&lt;/p&gt;
Loaders and Plugins

Loaders and plugins are the heart of webpack. They make up the engine that empowers webpack to do the “magical” things for you, like reading and transforming files before passing them to webpack or influencing the output of your bundle by extending the compiler capability, etc. In this chapter, we will be exploring some of the most commonly used loaders and plugins. We will go through examples of how to transpile files from one format to another. We will see how to debug our JavaScript efficiently and how to handle images and optimize them as well as our bundle for fast loading. By the end of this chapter, you will have the necessary understanding of how to use both loaders and plugins in the simplest possible way.
E-university for strategic planning of regional system of engineering education

One of the current stage development strategic tasksfor engineering education is the creation of "supporting" universities in the Russian Federation regions.In the context of socio-economic relationsdigitalization, the role of information technology in the process of forecasting the regional educational structure parameters is growing.This action is important at the stage of their forming, as well as for the organization of strategic and operational planning.The application of a multidisciplinary approach to the process of training engineering personnel necessitates the development of mechanisms for a convergent educational environment, which is based on the principles of network partnership.The solution to this problem is based on the introduction of experimental regional sites in the format of the "Electronic University", which allows the most optimal way to satisfy both the needs of the manufacturing sector in training qualified specialists and potential consumers of educational services.The aim of the presented scientific article is to develop a methodology based on the transformation of professional activities in the field of experience in applying a multidisciplinary approach to the principle of feedback from consumers of educational services, as well as interaction with subjects of the educational process.As an object of study, we consider educational programs of engineering profile of Peter the Great St. Petersburg Polytechnic University, studied from the point of view of their dynamic performance.Achieving this goal is realized using stochastic optimization methods, the mathematical theory of finding solutions in the face of uncertainty, and computer modeling.As a result of the study, the impact areas of digitalization on the conceptual updating of the educational process content are ranked, the level of mutual influence of the labor market needs and the competence model of training engineering personnel in the digital economy is identified.
Introducing Azure Site Recovery

Azure Site Recovery (ASR) is one of the most prominent and highly regarded DR services offered by Azure for use in cloud and hybrid cloud architectures. ASR is the only available DR platform that makes it possible for Azure VMs, Hyper-V, physical on-premises systems, and VMware to fail over to and successfully fail back once a disaster has resolved. Microsoft Azure Site Recovery is the only public cloud solution that offers a native DR solution for applications running on Internet as a Service (IaaS) VMs. ASR helps to reduce costs by eliminating secondary datacenters and large, up-front third-party software purchases with complex learning curves. ASR is very simple to deploy and easy to manage, as you can administer it entirely through the Azure portal and using Azure Site Recovery PowerShell.
Spatial Alignment Facilitates Visual Comparison.

Humans have a uniquely sophisticated ability to see past superficial features and to understand the relational structure of the world around us. This ability often requires that we compare structures, finding commonalities and differences across visual depictions that are arranged in space, such as maps, graphs, or diagrams. Although such visual comparison of relational structures is ubiquitous in classrooms, textbooks, and news media, surprisingly little is known about how to facilitate this process. Here we suggest a new principle of spatial alignment, whereby visual comparison is substantially more efficient when visuals are placed perpendicular to their structural axes, such that the matching components of the visuals are in direct alignment. In four experiments, this direct alignment led to faster and more accurate comparison than other placements of the same patterns. We discuss the spatial alignment principle in connection to broader work on relational comparison and describe its implications for design and instruction. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
An Integrated Framework for Managing Information Technology Security Uncertainty

Information security to date has been driven a lot of attention in business world.The cyber security standards play significant and crucial role in promoting feasible approaches to organizations while making comprehensive strategical planning.This paper aims at providing a systematic overview of information technology (IT) security management in organizations.Conducted a structured literature from academic database and industry whitepapers, we review a number of the critical issues and challenges facing the industry today and in the future.In line with the fundamental elements of information security, we propose an integrated framework to understand the current situation of IT security management.In particular, we focus on several critical fundamental functions of IT security management: Security and Risk Management, Security Operations, and Security Assessments and Testing.Then, we use the proposed framework as a lens to discuss and solve the security issues in bring your own device (BYOD) in organizations.
Performance Analysis of Feature Detection and Description (FDD) Methods on Accident Images

Feature detection and description is a significant process in several computer vision tasks such as object recognition, detection, image classification and registration. The challenge relies on choosing appropriate feature detector and descriptor, concerning an application, regardless of the appearance and the content of an image. The objective of the performance analysis is to identify the suitable FDD method, in order to extract distinct and robust features from the accident images, possess crucial information for the analysis of accident severity. In this paper, the feature detection and description methods from the literature is applied to the accident images. However, the accident images captured in real-time through mobile cameras confronts motion blur, illumination, rotation and scale variations. Therefore, the robustness of the feature detectors and descriptors are evaluated under various image transformations and the results are compared and analyzed. The result shows, under feature detectors, CenSurE and SIFT performs better with reference to repeatability and matching score. SIFT and ORB are better in the category of feature descriptors for the analysis of accident images.
A Cloud Experiment for Virtual Reality and Augmented Reality in NCHC Render Farm

The virtual desktop infrastructure (VDI) service for the render farm platform at National Center for High-performance Computing (NCHC) was built to provide users with remote access to the render farm. Users from the film industry can utilize this platform throughout production, giving them the benefit of working on any regular laptop but with a dedicated Graphics Processing Unit (GPU). This paper describes an attempt at using NCHC's VDI service for Augmented Reality (AR) and Virtual Reality (VR) to avoid the expensive equipment required.