Reviewerly/exHarmony huggingface dataset:
A Quantitative Investigation of the Correlation Between Academic Program Majors and Educational Objectives: A Data-Driven Approach

In tertiary education, program education objects (PEDs) are a core component around which all program's activities revolve. This paper presents a data-driven approach to uncover an important aspect of this component that is its correlation to program majors (PMs). It does so by applying three well-known data correlation metrics, namely Pointwise Mutual Information, Correlation Coefficient, and Odds Ratio, to a dataset extracted from self-study reports of a set of Engineering programs. The collected dataset has undergone a preprocessing step to transform it into a suitable representation. This involves data cleaning, data annotation using a set of PEDs labels, and data projection to break down each multi-PEDs label data instances into a number of single PEDs data instances. The results obtained from the application of the three correlation metrics show a remarkable consistency among the three metrics in their evaluation of the correlation between PMs and PEDs. In a subsequent step, a ranking procedure of the PEDs within each PM, based on the obtained PMs-PEDs correlation strength, is applied and then a majority vote among the ranks of the three metrics is performed to obtain an overall rank of the PEDs within each PM. The obtained results show that each PM has a unique pattern of PEDs ranks, which suggests that PM nature plays a key role in determining the PM-PEDs correlation pattern. As a general conclusion, although the obtained results need further investigation on their causality correlation, the obtained quantitative correlations are very beneficial to the academicians particularly when designing new programs or reviewing existing ones.
Parameters evaluation of the developed combined authentication schemes with increasing level of resistance

Abstract Due to the increasing probability of a quantum computer appearance in the near future, there is a need to develop new tools for cryptographic information protection. Such tools are related to post-quantum cryptography. This article evaluates the performance characteristics, compactness, and computational complexity of previously developed combined electronic signature schemes. Such schemes consist of a combination of two independent electronic signature schemes, one of which is a post-quantum scheme, and the other is one of the well-known classical asymmetric electronic signature schemes. In all the schemes under consideration, the level of cryptographic security increases, and the probability of their hacking even with the help of a quantum computing device decreases. The results obtained in this paper may be useful to other researchers for further post-quantum cryptographic protection tools development.
Architecture of Combined E-Learning Environment and Investigation of Secure Access and Privacy Protection

The contemporary digital world based on network communications, globalization and information sharing outlines new important targets in the area of privacy and personal data protection which reflect to applied principles of secure access to proposed information structures. In this reason the aim of secure access to all resources of an e-learning environment is very important and adequate technological and organizational measures for authentication, authorization and protection of personal data must be applied. Strong security procedures should be proposed to protect user's profiles, designed after successful registration and all personal information collected by educational processes. The goal of this article is to present an idea to combine traditional e-learning technologies with new opportunities that give mobile applications, cloud services and social computing. These technologies can endanger data security since they make possible remote access to resources, sharing information between participants by network communications. In order to avoid data vulnerabilities users must be identified and authenticated before, i.e. to be allowed to access information resources otherwise integrity and confidentiality of e-learning system could be destroyed. In order to propose solution basic principles of information security and privacy protection in e-learning processes are discussed in this article. As a result, an organizational scheme of a system for information security and privacy is proposed. Based on these principles a graph formalization of access to the system resources is made and architecture for combined (heterogenic) e-learning architecture with secure access to the resources is designed. Analytical investigation based on designed Markov chain has been carried out and several statistical assessments delivered by Develve software are discussed.
Social Systems: Transformation of External Reality by Communicating, Reflexive Subjects

The origin of social systems lies in the emergence of the structure of the human subject who can incorporate an internal image of the external world. This structure, established on the basis of the dynamic referral of the conscious subject (self) to its symbolic image, acquires the potential to rationally describe the external world through the semantic structure of language. It has been modeled in reflexive psychology using the algebra of simple relations which are, in fact, dynamic oppositions that generate, at the same time, opposite models of behavior and the diverse organizations of societies. The invention of new ideas and implementation of new technologies shift the probability pattern of reflexive choices, appearing as internal assessments by the individual agents within a society. They direct the changes in the preference of reflexive types. Typical examples of reflexive types are those that correspond to alternative social structures formed during social evolution. The dynamics of societies and of interactions between societies are thus based on the interference of dynamic oppositions appearing as opposite reflexive structures and on the establishment of different patterns during such interferences. These are opposite in respect of the types of relation to other members of society and to the type of social organization. At different times in the history of human civilization, these changing patterns resulted in the formation and splitting of large empires, the development and spreading of new technologies, and consequent periods of growth, well-being and decline and decay. This chapter summarizes and develops the approach to social science suggested in the paper of Igamberdiev (Igamberdiev in Prog. Biophys. Mol. Biol. 131:336–347, 2017).
Irreducibility of a Polynomial Shifted by a Power of Another Polynomial

In this note, we show that, for any <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>f</mi> <mo>∈</mo> <mi>ℤ</mi> <mfenced open="[" close="]" separators="|"> <mrow> <mi>x</mi> </mrow> </mfenced> </math> and any prime number <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>p</mi> </math> , there exists <math xmlns="http://www.w3.org/1998/Math/MathML" id="M3"> <mi>g</mi> <mo>∈</mo> <mi>ℤ</mi> <mfenced open="[" close="]" separators="|"> <mrow> <mi>x</mi> </mrow> </mfenced> </math> for which the polynomial <math xmlns="http://www.w3.org/1998/Math/MathML" id="M4"> <mi>f</mi> <mfenced open="(" close=")" separators="|"> <mrow> <mi>x</mi> </mrow> </mfenced> <mo>−</mo> <mi>g</mi> <msup> <mrow> <mfenced open="(" close=")" separators="|"> <mrow> <mi>x</mi> </mrow> </mfenced> </mrow> <mrow> <mi>p</mi> </mrow> </msup> </math> is irreducible over <math xmlns="http://www.w3.org/1998/Math/MathML" id="M5"> <mi>ℚ</mi> </math> . For composite <math xmlns="http://www.w3.org/1998/Math/MathML" id="M6"> <mi>p</mi> <mo>≥</mo> <mn>2</mn> </math> , this assertion is not true in general. However, it holds for any integer <math xmlns="http://www.w3.org/1998/Math/MathML" id="M7"> <mi>p</mi> <mo>≥</mo> <mn>2</mn> </math> if <math xmlns="http://www.w3.org/1998/Math/MathML" id="M8"> <mi>f</mi> </math> is not of the form <math xmlns="http://www.w3.org/1998/Math/MathML" id="M9"> <mi>a</mi> <mi>h</mi> <msup> <mrow> <mfenced open="(" close=")" separators="|"> <mrow> <mi>x</mi> </mrow> </mfenced> </mrow> <mrow> <mi>k</mi> </mrow> </msup> </math> , where <math xmlns="http://www.w3.org/1998/Math/MathML" id="M10"> <mi>a</mi> <mo>≠</mo> <mn>0</mn> </math> and <math xmlns="http://www.w3.org/1998/Math/MathML" id="M11"> <mi>k</mi> <mo>≥</mo> <mn>2</mn> </math> are integers and <math xmlns="http://www.w3.org/1998/Math/MathML" id="M12"> <mi>h</mi> <mo>∈</mo> <mi>ℤ</mi> <mfenced open="[" close="]" separators="|"> <mrow> <mi>x</mi> </mrow> </mfenced> </math> .
An Image Denoising Algorithm Based On Image Quality Assessment

The combination of image quality assessment (IQA) and conventional image processing algorithm or system can effectively improve the performance of the latter one. There are two ways of the combination. One is to use IQA as the pre-processing or post-processing part of the image processing algorithm or system. Another way is to embed IQA into it. In this paper, we investigate the latter one. As for the image processing algorithm or system, we use a denoising algorithm because image denoising is an indispensable step in many physical applications. We use a discriminative denoised algorithm which is called denoising convolutional neural networks (DnCNNs). We change its loss function, and add the IQA part. The original loss function of DnCNNs is 11 loss. It has clear physical meaning and simple calculation. However, it only represents differences in low-level features of images, ignoring human perception characteristics. The added IQA part can make up for the loss of human high-level perception, making the denoised result more in line with the human perception. The experiments show that changed DnCNNs has better ability to deal with overexposed image. In addition, the loss value of changed DnCNNs is steadier than origin DnCNNs. At the same time, the average PANR of changed DnCNNs is higher than origin DnCNNs.
Outside the Box: New Style Discovering via Generative Adversarial Network for Shoes Design

In this paper, a GAN-based method to discover new style without manually labelling for styles. The experimental results show that we can successfully generate creative sneakers on the shoes dataset, which can be used as an inspiration-provider for shoe designers.
Repeated and Anaphoric Segments Applied to Trilingual Knowledge Extraction

In a context of globalized societies, multilingualism is becoming an economic and social phenomenon. Translation constitutes a crucial element for communication. A good translation guarantees the quality of the transmission of all information. However, can translation on its own be used to face the challenge of multilingual information monitoring? With the advent of the digital age and the integration of many new technologies, corporate governance is undergoing a complete metamorphosis. One of the priorities remains the efficient exploitation of accumulated big data. This paper endeavors to shed light on the need for multilingual monitoring and on current or future developments of text mining, for three major languages (French, English, and Chinese), in crucial areas for the world's future and to describe the specificity and efficiency of anaphora.
Heterogeneous IHRRN Scheduler Based on Closeness Centrality

Big Data is the current emerging trend in data analytics. MapReduce is the programming model which is widely used for the data intensive applications in the Big Data environment. Scheduling of job attempts to provide faster processing of jobs and to reduce the response time to the minimum by using innovative techniques for allocating system resources depending on the nature of jobs. The default scheduling algorithm takes up Hadoop homogeneous environment. This homogeneity consolidation does not always work in use and restricts the MapReduce efficiency. There is a need for addressing heterogeneous system. Data locality is primarily bringing computation nearer to input information so as to provide faster access. MapReduce does not always test the heterogeneity from the point of view of the data locality. Improvising the data locality for Map Reduce system is an endearing problem to increase the fruition of Hadoop environment. The existing job scheduling method of Hadoop is Self Adaptive Reduce Scheduling (SARS) algorithm. SARS concentrates only on the reducer phase and the algorithm may cause data locality problem. This paper highlights a new concept to further improve the utility of the SARS technique. This paper presents a new technique that efficiently uses closeness centrality—the shortest distance of all the nodes in the cluster from the data node. Node’s closeness centrality analyses its average distance to all other nodes. The proposed algorithm is Improved Highest Response Ratio Next scheduling with Closeness Centrality (IHRRN_CC). Considering the Node Processing Capacity (NPC), another variant of IHRRN Scheduling—IHRRN_NPC is also proposed. The SARS algorithm is compared with Improved Highest Response Ratio Next (IHRRN) scheduling with Closeness Centrality (IHRRN_CC). The proposed scheduling algorithm is compared to state-of-the-art schedulers utilizing heterogeneous workloads in a heterogeneous Hadoop environment from the Hi-Bench benchmark array. The results of the experiment show that our proposed schedule improves the performance of a wide range environment MapReduce. Further, the proposed systems minimize job execution time and throughput. Comparative analysis of the proposed IHRRN_NPC and IHRRN_CC with the existing Hadoop default scheduler, SARS, and IHRRN algorithm shows the improvement in data locality.
Arbitrary Back-Projection Networks for Image Super-Resolution

Recently, a method called Meta-SR has solved the problem of super-resolution of arbitrary scale factor with only one single model. However, it has a limited reconstruction accuracy compared with RDN[Formula: see text] and EDSR[Formula: see text]. Inspired by Meta-SR, we noticed that by combining the core idea of Meta-SR and D-DBPN, we might construct a network that has as good image reconstruction accuracy as D-DBPN’s, at the same time, keeps arbitrary scaling function. According to Meta-SR’s Meta-Upscale Module, we designed a different structure called Meta-Downscale Module. By using these two different modules and back-projection structure, we construct an arbitrary back-projection network, which has the ability to enlarge images with arbitrary scale factor by using only one single model, meanwhile, obtains state-of-the-art reconstruction results. Through extensive experiments, our proposed method performs better reconstruction effect than Meta-SR and more efficient than D-DBPN. Besides that, we also evaluated the proposed method on widely used benchmark dataset on single image super-resolution. The experimental results show the superiority of our model compared to RDN+ and EDSR+.
Hardware Design of Polynomial Multiplication for Byte-Level Ring-LWE Based Cryptosystem

An ideal lattice is defined over a ring learning with errors (Ring-LWE) problem. Polynomial multiplication over the ring is the most computational and time-consuming block in lattice-based cryptography. This paper presents the first hardware design of the polynomial multiplication for LAC, one of the Round-2 candidates of the NIST PQC Standardization Process, which has byte-level modulus p=251. The proposed architecture supports polynomial multiplications for different degree n (n=512/1024/2048). For designing the scheme, we used the Vivado HLS compiler, a high-level synthesis based hardware design methodology, which is able to optimize software algorithms into actual hardware products. The design of the scheme takes 274/280/291 FFs and 204/217/208 LUTs on the Xilinx Artix-7 family FPGA, requested by NIST PQC competition for hardware implementation. Multiplication core uses only 1/1/2 pieces of 18Kb BRAMs, 1/1/1 DSPs, and 90/94/95 slices on the board. Our timing result achieved in an alternative degree n with 5.052/4.3985/5.133ns.
Information and Document Flows in Organizational Environments

Information and document flows are essential to support all functions and activities in an organization. Information and knowledge flows in an organization are monitored; however, they are not always well managed, and members of the organization rarely perceive how and how much they contribute to their administrative processes. The purpose of this chapter is to analyze how information and document flow can be managed within an organization in a way that optimizes the access and retrieval efficiency. It is qualitative and descriptive research. The authors conclude that (a) recognition and mapping of information and document flows are fundamental for their efficient management and (b) the use of ISO records management standards such as ISO/TR 26122:2008 is the basis for formal or structured information flows. An archivist is the professional best suited to manage that flow of information, including creation, adaptation, and implementation of improvements.
Pengembangan Media Permainan Jumanji Untuk Pembelajaran Tematik Kelas V Sdn Sukolilo 01 Kecamatan Wajak

This study aims to develop the jumanji game media, measure the feasibility, practicality, and effectiveness of the media developed to find out the results of the development of the jumanji game media, foster student enthusiasm in thematic learning.The research method used is development, using the ADDIE model. The research subjects were 16 grade V students of SDN Sukolilo 01, Wajak District. The feasibility of the media is obtained from the results of the validation of media experts, material experts, linguists. Instruments of practicality were obtained from questionnaires given to teachers and students. The effectiveness is obtained from observations to students. The data analysis technique uses descriptive qualitative and quantitative.The results of research on the development of jumanji media; (1) The eligibility assessment gets a percentage of 90% with a very valid category, (2) material gets a percentage of 98% with a very valid category, (3) the language gets a percentage of 88.5% with a valid category, (4) practicality get a percentage of 92% with the practical category, (5) The results of observations on the effectiveness of jumanji media received a percentage of 92%. So the jumanji game media can be used as a teacher's reference as a learning medium
On estimation for numbers of periodic and almost periodic solutions of first-order ordinary differential equations

Approaches to estimating for the number of periodic and almost periodic solutions of ordinary differential equations are considered. Conditions that allow determinating both the upper and lower bounds for these solutions are found. The existence of periodic and almost periodic solutions in problems are considered.
To the Coast

Research Article| November 01 2020 To the Coast Nadia Born Nadia Born Nadia Born is an emerging writer with a BA in creative writing from Northwestern University. This is her first publication. Search for other works by this author on: This Site Google the minnesota review (2020) 2020 (95): 1. https://doi.org/10.1215/00265667-8623406 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Nadia Born; To the Coast. the minnesota review 1 November 2020; 2020 (95): 1. doi: https://doi.org/10.1215/00265667-8623406 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. © 2020 Nadia Born2020 Article PDF first page preview Close Modal Issue Section: Creative You do not currently have access to this content.
An Attention Mechanism Extension of Automatic HTML Generation from Web Page Design Images

The purpose of this study is to improve the accuracy of automatic HTML generation from web page design images. pix2code is the state of art in this field. It is consist of design image learning part by CNN and HTML learning part by LSTM. We propose three improvements of adding a word embedding layer, applying VGG16 fine tuning to CNN, replacing LSTM to Bidirectional LSTM or GRU, and introducing attention mechanism. In the experiment, we employed a conventional data set which was used in pix2code and evaluated by a standard natural language generation metric called BLEU. As the results, the one of proposed models that contained the word embedding layer and the attention mechanism scored the accuracy of 99%. It overcomes the result of state of art scored 88%.
Testing the decoupling theorem with IBM quantum computer

Abstract Decoupling is a well-studied phenomenon in the theory of quantum information: the correlation between two systems - possibly in the form of entanglement - disappears almost entirely when one undergoes a random unitary evolution. Previous studies have proven the mathematical formulas and general conditions for decoupling two systems. The aim of this work is to observe the effectiveness of a real-world implementation of the decoupling scheme with the IBM quantum computer. In particular, we apply Clifford circuits to the systems in initial state and observe how correlation varies with respect to different circuit lengths. A significant trend was discovered, according to the mathematical theorems: the correlation between the systems decreases as the size of Clifford circuit increases. This observation shows that the decoupling theorem can be implemented effectively with the IBM quantum computer. Under a global perspective, this work is intended to provide a result in support of the fundamental task of laying the groundwork for the development of a reliable quantum computing architecture.
Increasing SMT and NMT Performance by Corpus Extension with Free Online Machine Translation Services

In machine translation, parallel corpora of source-target language pair are essential to improve the performance of the translation. However, the existing parallel corpora for the low resource language is not sufficient to improve the quality of the translation. In this paper, we explore the role of corpus extension by using the three freely available online machine translation services; “Google Translate”, “SYSTRAN Translate” and “Yandex Translate” for English and Thai language pair. We compare three statistical and neural machine translation performances between the original ASEAN-MT corpus, and their extended version, which double the original size of the ASEAN-MT. The results showed that, for SMT models, extended Thai corpus can help improve the translation performance for th-en translation up to 2.6% and the extended English corpus can do so significantly for en-th translation up to 4.2%. While for the NMT model, the extended Thai corpus can improve the translation performance up to 5.5%.
Hardware design of real-valued NSCT transform for biomedical video compression

Number based Non-Subsampled Contourlet Transform (NSCT) diminishes the difficulty of the transformation operation kernel in biomedical video compression by dispensing the requirement for floating number mathematics. Yet, the dynamic scope of INSCT is huge and in this manner, equipment cost is more. In this manuscript, an innovative transformation operation kernel for biomedical video compression is projected which utilizes a novel set of complex and real- esteemed -NSCT coefficients. The projected NSCT decreases the equipment cost, area utilized and propagation time by diminishing the complication with intermediary information duration. Proposed transformation can be implemented by digit parallel multiplications and serial shift operations. Thus the itinerant fault can be decreased by standardize this numeral information and shift quantity for Biomedical video compression. Intermediary information duration and area, power consumption of the proposed method is fewer.