Reviewerly/exHarmony huggingface dataset:
The Specifics Of The Digital Economy In Higher Education

The urgency of the investigated problem is due to the transformation occurring in the Russian economy, the transition of the market economy to the digital one. This process inevitably required changes in the training of highly qualified, competitive personnel to ensure the formation of a new economy. Under these conditions, the higher education system should work in the interests of preparing competent specialists for the digital economy, and adapting graduates of higher educational institutions to the conditions of the digital economy. The priority orientation of the higher education system to an innovative format changes the vector of the direction of the professional activity of higher school teachers. In such conditions it is supposed to switch to the electronic form of education. The article reveals the specifics of higher education in the digital economy, presents a diagram of the mechanism of interaction of subjects of the learning process in the digital economy of learning. It was concluded that higher education in the digital economy undergoes significant modifications, and a contradiction arises between the needs of the economy, the state, the labor market, employers expectations and, on the one hand, the requirements for the higher education system, on the other hand, the demands of the main consumers of educational services - students of higher educational institutions.
LSB based Image Steganography by using the Fast Marching Method

This paper presents a novel approach for image steganography based on the Least Significant Bit (LSB) method.Most traditional LSB methods choose the initial embedding location of the cover image randomly, and the secret messages are embedded sequentially without considering the image pixels' values and positions.Our approach utilizes the user-selected seeds in the cover image to avoid the smooth/flat areas where cause a higher detection rate.Then the fast marching method is used to calculate T (the time of arrival of the front of the seeds) and propagate the seeds by computational dynamics.The front propagation process decides the embedding positions of the secret messages.The same algorithm can be used to retrieve the hidden information as well.The coordinates of the seeds are used as the shared key only known to the sender and receiver to add additional security protection.Peak Signal to Noise Ratio (PSNR) is evaluated to measure the quality of resulting images.The experiments show that the proposed approach generates results with high payload capacity and satisfied imperceptibility.
PENERAPAN DATA MINING DALAM PENILAIAN KINERJA GURU TETAP SD NEGERI KEBALEN 07 DENGAN METODE TOPSIS

To find out the problems faced in the teaching performance assessment process by utilizing the Technique For Order Preference method by Similiarity to Ideal Solution (TOPSIS), to manage the processing of Teacher data is a more optimal consideration. By using the (TOPSIS) method as a basis for processing teacher performance assessment data. This can allow the system to provide an assessment in accordance with the quality of each teacher and is expected to facilitate decision making in the assessment of Teacher's performance. The Technique For Order Preference by similiarity to Ideal Solution has been running well and can result in a weighting of assessment criteria and clear and fast information compared to manual calculations so SD Negeri Kebalen 07 can use it as a tool for making appropriate decisions.
No text Is worth dying for: The role of emotion regulation in a distracted driving campaign

The Journal of European Psychology Students (JEPS) is an open-access, double-blind, peer-reviewed journal for psychology students worldwide. JEPS is run by highly motivated European psychology students and has been publishing since 2009. By ensuring that authors are always provided with extensive feedback, JEPS gives psychology students the chance to gain experience in publishing and to improve their scientific skills. Furthermore, JEPS provides students with the opportunity to share their research and to take a first step toward a scientific career.Submissions are welcomed at any time.Register to submit your work online.Visit our blog - JEPS Bulletin - for tips on writing and more.
Recent Advancements in Digital Forensics, Part 2

T oday, digital forensics experts must operate in a multidisciplinary environment that requires mastery of many disciplines, including law, computer science, finance, networking, data mining, and criminal justice.Meanwhile, cybercriminal activities often compel law-enforcement agencies to investigate across international borders, which means dealing with different jurisdictions and legal systems.Also, computing and networking infrastructures are increasingly intricate, further complicating investigations and activities related to digital forensics.For instance, clues pointing to illegal digital activities are often buried in large volumes of data, making criminal activity that much more difficult to detect and document with suitable evidence.Thus, the field of digital forensics faces many diverse challenges and issues in the effort to streamline digital evidence processing and related forensic procedures.A paradigm shift is needed for law-enforcement agencies, and forensics professionals must be fully prepared to deal with different technologies, such as those related to the Internet of Things, cloud and fog computing, mobile devices, blockchain, and cryptocurrencies as well as smart buildings and even smart cities.To sum up: forensics experts, tools, and methodologies must all keep pace with new technologies.This second part of a two-part special issue series of IEEE Security & Privacy covers the latest challenges that digital forensics experts face.We are impressed by the enthusiasm of our community in exploring these topics, and we are grateful that so many experts among us were willing to contribute to this issue.We received 42 submissions, of which 11 outstanding articles were accepted for publication (an acceptance rate of 26%).This second part presents six articles covering different emerging and important domains, such as cloud storage, PDF-based malware, and other challenges for digital investigation.This issue starts with an article by Hui Tian et al., who address the problem of trusting cloud-service providers.The authors present an architecture for public data auditing to tackle this challenge.In the article by Apostolos Axenopoulos et al., the authors support digital forensics departments by providing a framework to assist investigators in their everyday tasks.Joseph Ricci et al., in their article discuss the problem from a forensics perspective of blockchain-based data storage that allows data to be placed in multiple geographic locations.
Reasoning Between the Lines: a Logic of Relational Propositions

This paper describes how Rhetorical Structure Theory (RST) and relational propositions can be used to define a method for rendering and analyzing texts as expressions in propositional logic. Relational propositions, the implicit assertions that correspond to RST relations, are defined using standard logical operators and rules of inference. The resulting logical forms are used to construct logical expressions that map to RST tree structures. The resulting expressions show that inference is pervasive within coherent texts. To support reasoning over these expressions, a set of rules for negation is defined. The logical forms and their negation rules can be used to examine the flow of reasoning and the effects of incoherence. Because there is a correspondence between logical coherence and the functional relationships of RST, an RST analysis that cannot pass the test of logic is indicative either of a problematic analysis or of an incoherent text. The result is a method for analyzing the logic implicit within discursive reasoning.
Statistical Difference Beyond the Polarizing Regime.

The polarization lemma for statistical distance (\({\text {SD}}\)), due to Sahai and Vadhan (JACM, 2003), is an efficient transformation taking as input a pair of circuits \((C_0,C_1)\) and an integer k and outputting a new pair of circuits \((D_0,D_1)\) such that if \({\text {SD}}(C_0,C_1) \ge \alpha \) then \({\text {SD}}(D_0,D_1) \ge 1-2^{-k}\) and if \({\text {SD}}(C_0,C_1) \le \beta \) then \({\text {SD}}(D_0,D_1) \le 2^{-k}\). The polarization lemma is known to hold for any constant values \(\beta < \alpha ^2\), but extending the lemma to the regime in which \(\alpha ^2 \le \beta < \alpha \) has remained elusive. The focus of this work is in studying the latter regime of parameters. Our main results are: 1.Polarization lemmas for different notions of distance, such as Triangular Discrimination (\({{\,\mathrm{TD}\,}}\)) and Jensen-Shannon Divergence (\({{\,\mathrm{JS}\,}}\)), which enable polarization for some problems where the statistical distance satisfies \( \alpha ^2< \beta < \alpha \). We also derive a polarization lemma for statistical distance with any inverse-polynomially small gap between \( \alpha ^2 \) and \( \beta \) (rather than a constant).2.The average-case hardness of the statistical difference problem (i.e., determining whether the statistical distance between two given circuits is at least \(\alpha \) or at most \(\beta \)), for any values of \(\beta < \alpha \), implies the existence of one-way functions. Such a result was previously only known for \(\beta < \alpha ^2\).3.A (direct) constant-round interactive proof for estimating the statistical distance between any two distributions (up to any inverse polynomial error) given circuits that generate them. Proofs of closely related statements have appeared in the literature but we give a new proof which we find to be cleaner and more direct.
CRYPTOCURRENCY, BLOCKCHAIN, AND BITCOIN

Cryptocurrencies are digital (virtual) currencies, which, although they are a means of payment, are not yet strictly regulated by law in most states, and in some, they are even prohibited.Many people, including IT professionals and programmers, do not know much about this topic, and the general public equates the terms blockade and bitcoin.The crypto-market today amounts to nearly $ 770 billion.Since the emergence of the first digital currencies to date, over 1,300 active crypto sites have appeared, which differ in their properties and uses.Before the bitcoin, there were a lot of unsuccessful attempts to create digital currencies (DigiCash, Hashcash, Facebook credit, etc.).Utopian idea that mathematics and physics can solve social problems began its life through the appearance of bitcoin.The genial idea on which is a bitcoin functioned is based on blockchain technology, whose potential reaches far
Size Metrics for Service-Oriented Architecture

Determining the size, effort and cost of Service-oriented Architecture (SOA) systems is important to facilitate project planning and eventually successful implementation of a software project.SOA approach is one of the recent software architectures that allow integration of applications within and outside the organization regardless of heterogeneous technology over a distributed network.A number of research studies have been done to measure SOA size.However, these studies are not based on software metrics rendering them to be ineffective in their estimation.This study defined a set of SOA size metrics based on Unified Modelling Language (UML).The study employed Briand's theoretical validation to test the validity of the designed SOA size metrics.Findings from this study will provide metrics to measure SOA size more accurately and form a basis for future software engineering researchers to develop more effective and more accurate size metrics and effort estimation methods.
Online Interaction in Teaching and Learning a Foreign Language: an Italian Pilot Project on the Companion Volume to the CEFR

The contribution focuses on online interaction as a new important dimension in the linguistic competence and repertoire of a learner, as highlighted by the Companion Volume to the CEFR. Starting from a quick overview on the theoretical framework related to the main features of the linguistic variety used in digital and multimodal environments and social networks, the paper will focus on the descriptors of online interaction presented in the Companion, referring to the initial consultation process and then to a pilot project carried out by the Italian Ministry of Education in cooperation with INDIRE, involving a school network all over Italy.Some comments from the teachers involved in the projects will be reported and discussed and in particular, an example of project carried out in one of the schools will be highlighted.As a general conclusion, experimenting the descriptors of online interaction turned out to be a very effective way to reflect and become aware of the importance of digital literacy and online communication and interaction in a foreign language, for both teachers and students.
Job stress and satisfaction among academic staffs in public universities: An empirical study in the United Arab Emirates (UAE)

The purpose of this study is to measure the role of job stress among the academic staff of the public universities of UAE.A survey was conducted among 350 academic staffs of the public universities across UAE, concerning the trends of job stress and satisfaction and a possible relationship between these two variables.Primary data analysis reveal that the public universities showed different directions for varying forms of job stress.Moreover, five types of stressors were found to be significant for the academic staff at the universities and when they were tested on job stress, the results revealed the significant impact on job stress.More specifically, pay, and growth stressors as well as work-related stressors were found to negatively influence job stress for the academic staff.Future research of time series analysis can be conducted to understand the trends of stress under different situations over time for academic staff.
A Pattern-Based Development Approach for Interaction Flow Modeling Language

Development and deployment technologies for data-intensive web applications have considerably evolved in the last years. Domain-specific frameworks or model-driven web engineering approaches are examples of these technologies. They have made possible to face implicit problems of these systems such as quick evolving business rules or severe time-to-market requirements. Both approaches propose the automation of redundant development tasks as the key factor for their success. The implementation of CRUD operations is a clear example of repetitive and recurrent task that may be automated. However, although web application frameworks have provided mechanisms to automate the implementation of CRUD operations, model-driven web engineering approaches have generally ignored them, so automation has not been properly faced yet. This paper presents a pattern-based development approach for the Interaction Flow Modeling Language as a way to finally automate repetitive specification tasks. Our approach is illustrated by defining and applying IFML patterns for CRUD operations. Additionally, a supporting tool, which enables automation, is shown. The suitability of our approach and the utility of its tool have been evaluated by its application into several real projects developed by a software company specialized in model-driven web application development. The results obtained present evidence of a significant productivity improvement obtained by the automation of the IFML specification of CRUD operations.
Canonical Models and the Complexity of Modal Team Logic

We study modal team logic MTL, the team-semantical extension of modal logicML closed under Boolean negation. Its fragments, such as modal dependence,independence, and inclusion logic, are well-understood. However, due to theunrestricted Boolean negation, the satisfiability problem of full MTL has beennotoriously resistant to a complexity theoretical classification. In our approach, we introduce the notion of canonical models into theteam-semantical setting. By construction of such a model, we reduce thesatisfiability problem of MTL to simple model checking. Afterwards, we showthat this approach is optimal in the sense that MTL-formulas can efficientlyenforce canonicity. Furthermore, to capture these results in terms of complexity, we introduce anon-elementary complexity class, TOWER(poly), and prove that it containssatisfiability and validity of MTL as complete problems. We also prove that thefragments of MTL with bounded modal depth are complete for the levels of theelementary hierarchy (with polynomially many alternations). The respectivehardness results hold for both strict or lax semantics of the modal operatorsand the splitting disjunction, and also over the class of reflexive andtransitive frames.
Dimensionality Reduction for Classification and Clustering

Now-a-days, data are generated massively from various sectors such as medical, educational, commercial, etc. Processing these data is a challenging task since the massive data take more time to process and make decision.Therefore, reducing the size of data for processing is a pressing need.The size of the data can be reduced using dimensionality reduction methods.The dimensionality reduction is known as feature selection or variable selection.The dimensionality reduction reduces the number of features present in the dataset by removing the irrelevant and redundant variables to improve the accuracy of the classification and clustering tasks.The classification and clustering techniques play a significant role in decision making.Improving accuracy of classification and clustering is an essential task of the researchers to improve the quality of decision making.Therefore, this paper presents a dimensionality reduction method with wrapper approach to improve the accuracy of classification and clustering.
JS Digital Assets Trading System

Blockchain technology is made to be strong and durable as well. Each block of information is stored and chained with other blocks strongly using hashing technique. Blockchain technology cannot be controlled by any one, and no one can destroy it.In this study, we have designed the intellectual property trading system using Blockchain as the data source. We have brought an example of e-book trading system on Blockchain that encrypts e-books which confirms that only customers and authors can access the e-book files.
Photovoltaic Production Possibilities and its Utilization in Office Buildings in Finland

Photovoltaic electricity production data was gathered during a one year period in southern Finland (Espoo, 60.11°N, 24.49°E) from each principal compass point and using several tilt angles in the south facing solar panel. The results showed that the amount of produced electricity and the optimum tilt angle of the solar panels vary greatly in this location according to the time of year. Photovoltaic production data was further applied to office equipment consumption calculations and as a result required solar panel area for each office device was calculated. Calculations were done for the least and the most consuming devices of each group. Conclusion was that the selection of office devices affects greatly to the required solar panel area, as well as to the yearly electricity bill if the electricity is bought from the grid. After this these calculated results were applied to a different geographical location that receives much more sunlight. The selected location for this comparison was Khartoum in Sudan (15.5°N, 32.5°E). Comparison between Sudan and Finland was realized using the statistical solar radiation data of NASA Surface Meteorology and Solar Energy Database and the field measurements performed in the Lighting Unit of Aalto University, Espoo in Finland. This comparison showed that during December, which is the least sunniest month in Finland, the required solar panel area in Finland was 10 times larger than the required area in Sudan. In the summer the solar radiation amounts of these two locations are more equivalent and the required solar panel area is only 1,3 times larger in Finland than in Sudan.
Electronic Voting System with Cloud Based High Performance Computing

Traditional voting system has been replaced by electronic voting systems in most places increasingly. It is efficient, but not efficient enough in terms of cost and capacity. High Performance Computing (HPC) in Cloud computing is a relatively new concept which has been replacing the traditional systems. The HPC has been widely used over the recent years because of its efficiency, reliability, speed and cost. Whereas in the traditional super computing system a lot of cost is involved. The ability of integration of HPC with cloud provided enormous growth in the area of parallel processing and computing. This system may advocate to push the case of promoting electronic voting system for higher traffic scenarios with lower cost requirements. This paper proposes an idea of implementing a fully formed e-voting system integrated with both HPC and Cloud Computing.
Sistem Penegakan Speed Bump Berdasarkan Kecepatan Kendaraan yang Diklasifikasikan Haar Cascade Classifier

Driving at high speed is among the frequent causes of accidents. In this research, a warning system was developed to warn drivers when their speed beyond the safety limit. Haar cascade classifier was proposed for the detection system which comprises Haar features, integral image, AdaBoost learning, and cascade classifier. The system was implemented using Python OpenCV library and evaluated on road traffic video collected in one way traffic. As a result, the proposed method yields 97.92% of car detection accuracy in daylight and MSE of 2.88 in speed measurement.
A survey of arabic text classification models

&lt;span&gt;There is a huge content of Arabic text available over online that requires an organization of these texts. As result, here are many applications of natural languages processing (NLP) that concerns with text organization. One of the is text classification (TC). TC helps to make dealing with unorganized text. However, it is easier to classify them into suitable class or labels. This paper is a survey of Arabic text classification. Also, it presents comparison among different methods in the classification of Arabic texts, where Arabic text is represented a complex text due to its vocabularies. Arabic language is one of the richest languages in the world, where it has many linguistic bases. The research in Arabic language processing is very few compared to English. As a result, these problems represent challenges in the classification, and organization of specific Arabic text. Text classification (TC) helps to access the most documents, or information that has already classified into specific classes, or categories to one or more classes or categories. In addition, classification of documents facilitate search engine to decrease the amount of document to, and then to become easier to search and matching with queries.&lt;/span&gt;