Reviewerly/exHarmony huggingface dataset:
Irreducible factors of a class of permutation polynomials

Factorization of various types of polynomials over a finite field Fq is a classical problem. However factorization of permutation polynomials of Fq was not studied previously. Here we present results on the degrees of the irreducible factors of a large class of permutation polynomials.
Corpus of Academic Slovene (PhD theses) KAS-dr 1.0

The KAS-dr corpus of Slovene PhD theses consists of almost 1,600 texts (266 thousand pages or 100 million tokens) written 2000 - 2018 and gathered from the digital libraries of Slovene higher education institutions via the Slovene Open Science portal (http://openscience.si).The theses have associated with them significant metadata, while each thesis in the corpus contains its textual body, i.e. without their front and back matter. The body is divided into pages, these into paragraphs, and then into sentences. The sentence tokens are morphosyntactically annotated, words are lemmatised and English-Slovene pairs of term candidates are marked up and linked. Slovene monolingual term candidates are also marked up.The corpus is distributed in the canonical TEI encoding, in the so called vertical format used by the (no)Sketch Engine and CWB concordancers, and as plain text files. Each format distribution also contains a file with thesis metadata.This repository entry contains the corpus of PhD theses only; separate entries are available that contain MSc/MA theses (KAS-mag: http://hdl.handle.net/11356/1266), BSc/BA theses (KAS-dipl: http://hdl.handle.net/11356/1267) and the complete KAS corpus with all three (KAS: http://hdl.handle.net/11356/1244).
Application of library 2.0 for the enhancement of quality education and quality results: Kendriya vidyalayas of kv bilaspur cluster perspective

The present research paper is based on the seven Kendriya Vidyalaya's libraries of Bilaspur cluster. This revealed that quality education and quality results enhanced by using the activities of library 2.0. This has been explained by using tables and graphs. The library 2.0 activities have been explained. The statistical method has been applied to prove the hypothesis. User's feedback on the execution of these services has been appended. The present research paper is based on seven libraries of Kendriya Vidyalaya Bilaspur cluster. The result and pass percentage of current academic session has also been tabulated.
Scaling the Academic Security Community

The security community is growing considerably. Consider CCS: the 2000 edition of the conference had 25 program committee members, 132 paper submissions, and 28 accepted papers, while the 2019 edition has 184 PC members, 934 paper submissions, and 149 accepted papers. This significant growth is not unique to CCS, and this panel will discuss and explore the challenges and opportunities facing the community in terms of this growth. The panel will touch on all issues, including the growing number of papers, the load of the program committees, quality and quantity of reviews, different publication models, among others. The goal of the panel is to spark discussion with the community, so please attend and share your thoughts.
The Pattern of Proof of Integrity for Applications on Blockchain Platform

Blockchain is a new technology that has been taking much attention in many industries. Many studies highlighted that the difficulty of understanding Blockchain is a challenge to implement it in business. As a result, conducting studies in the design of Blockchain applications is essential to simplify understand its impact on the integrity, efficiency, and productivity of transactions. Accordingly, this research studied the role of Blockchain in achieving integrity for high-value records such as agreements and contracts. In software engineering, creating patterns help to understand the problem that occurs over and over again and provide a solution to it. Hence, the motivation of this research is to contribute to the area of design pattern approach for Blockchain applications. We explored the blockchain ability to solve the lack of integrity. Then, we represented the solution as a pattern called proof of integrity (PoI). Next, we built an application to verify the certificates authentication practically and check how the built application compatible with PoI pattern. We concluded, PoI pattern could be used as a model to solve the problem of authentication in many industries and as a guide to help organizations moving efficiently to the blockchain.
Teacher Professional Development in the Integration of Digital Technologies for Teaching and Learning at Selected South African Schools

The use of digital technologies for pedagogical purposes is a major factor for the enhancement of teaching and learning practices in the digitalized world. The purpose of this study was to investigate teacher professional development (TPD) in the integration of digital technologies for teaching and learning. Qualitative approach was used in this study. Participants were 91 teachers from public secondary schools in Tshwane South District 4 in Gauteng, South Africa. Data was collected by means of individual interviews. Data were analyzed manually using patterns, categories, codes and themes. Findings revealed that there was evidence of inadequate digital technology teacher professional development programs (DTTPDPs) received by teachers. There was lack of time; lack of support; and lack of effective planning for DTTPDPs particularly on the integration of digital technology in the curriculum. Results also shows that 75 (89%) of the teachers indicated that they would like to attend more of pedagogical DTTPDP related to the subjects that they teach. It is evident that despite having had several initiatives relating to digital technology teacher professional development (DTTPD in the district, there is still need for more effective such development for most teachers. Based on the findings, the researchers recommend that the Department of Basic Education (DBE) develop and implement effective DTTPDP strategies to urgently address the current lack of meaningful and effective DTTPDs.
Movements and Remediation: Lack of Site-Specificity in Modern ArtWorks

The article analyzes the works of contemporary art, taking into account the features of their functioning. The main goal is to determine what changes have taken place in the basis of a work of art, which allows us to designate this object as an object of contemporary art. The results obtained lead to the conclusion that one of the features of a work of art is the lack of site-specificity. The specificity of the site is the affiliation of the work to a specific place and time: when the affiliation changes, the relations of the object, context and viewer also change. The level of site-specificity of works of art relates to their cultural circulation. Works of modern art are the result of a strategy of figurative saturation defined by a series of constant movements and remediation. The works of contemporary artists are marked with the transition from individual or serial discrete objects to manipulating populations of images using various methods of selection and "reframing”.&#x0D; Keywords: work of art, contemporary art, site-specificity, remediation, figurative saturation
Ammatillisissa opettajakorkeakouluissa opettajaksi opiskelevien kokemuksia digitaitojen osaamisesta ja opiskelusta

This study investigates the experiences of student teachers studying in schools of vocational teacher education. The aim is to examine, how students evaluate their own digital skills needed in teaching. In addition, we examine what kinds of digital competence groups can be found among students. The data were collected through an electronic questionnaire. A total of 100 responses were analyzed using quantitative methods. Open-ended questions (n = 86) were analyzed with content analysis. Most students considered their digital teaching skills as good. They thought that they could use digital technology well e.g. to collaborate with others. Teaching multi-literacy skills, that is interpreting, producing and evaluating various types of written, audio-visual, and digital texts, was experienced as particularly difficult. Student teachers described that they had learned general digital skills during their studies, but also expressed their desire for advancement especially in pedagogically meaningful technology use. The cluster analysis identified four groups of students who differed from each other in how they perceived their digital skills. This study helps to identify the digital skills which student teachers already feel confident about and the ones in which they still need some practice and additional learning.
An Empirical Study of Effective Software Production in Distributed Software Development Environment using Non-Classical Models

The need of empirical study in software engineering is growing because the software development process is not a constant development process, Day to day the software updation, evaluation, enhancement and technological changes will lead the stakeholder to promote the research in the respective SDLC models. Nowadays many researchers can do their research and validate their solutions using empirical study and analysis. Our study aims to generalize the findings and promote effective software production in a Distributed Software Development Environment (DSDE) using non-classical models. In this study, we analyze effective software production in DSDE using Agile and DevOps.
Evaluating processing attributes using hyperspectral mineralogy

Geological variability occurs intrinsically in ore systems at a range of scales from 10-100s of meters to microns. Such variability includes rock type/lithology, alteration assemblage zonation and distribution of veins/faults. However, mineralogy represents a fundamental control on processing attributes (e.g., hardness) of different ore types. Such processing attributes are rarely confined to individual geological variables (such as rock type or alteration assemblage). Consequently, geometallurgical domain models built solely on lithology or alteration zone distribution are unlikely to capture the heterogeneity within an ore system. This study highlights the linkages between mineralogical variability and rock hardness, a processing attribute that influences throughput and energy consumption during comminution. Significantly, in the geometallurgical context, variables such as hardness may operate independently of geological variables. Integration of Equotip (impact hardness) and hyperspectral mineralogical data in this study highlights the co-dependence of these variables and emphasizes the benefit of high spatial resolution mineralogical data in evaluating processing attribute heterogeneity in mineralized systems.
Implementasi Algoritma Collision Detection Pada Perangkat Lunak Permainan Free Run

Free run is a game application that is shown for the Windows operating system with the action game genre, which is a game that focuses on chasing points, this free run game uses robot characters as the main character in which players will be taken to control the robot to avoid enemies like random stones block it. In the course of the game, researchers build with the application of Unreal Engine 4, game makers build free run games with the drop down system and with the game maker programming language itself, namely C ++, this application can also implement the collision detection method. This research uses the method of Collision detection is a method used in determining movement in a game such as collision of an object. Using this algorithm can determine the direction and purpose in making the game so that it can be easily enjoyed, this method also makes the game world more similar to reality in the real world, with the collision method can make free run games become real.
Correction to: A Proposal of Neural Networks with Intermediate Outputs

The original version of this chapter was revised and the spelling of Billy Peralta’s affiliation has been changed to “Universidad Andres Bello”.
Unsupervised Hierarchical Grouping of Knowledge Graph Entities.

Knowledge graphs have attracted lots of attention in academic and industrial environments. Despite their usefulness, popular knowledge graphs suffer from incompleteness of information, especially in their type assertions. This has encouraged research in the automatic discovery of entity types. In this context, multiple works were developed to utilize logical inference on ontologies and statistical machine learning methods to learn type assertion in knowledge graphs. However, these approaches suffer from limited performance on noisy data, limited scalability and the dependence on labeled training samples. In this work, we propose a new unsupervised approach that learns to categorize entities into a hierarchy of named groups. We show that our approach is able to effectively learn entity groups using a scalable procedure in noisy and sparse datasets. We experiment our approach on a set of popular knowledge graph benchmarking datasets, and we publish a collection of the outcome group hierarchies.
Finding Skewed Subcubes Under a Distribution.

Say that we are given samples from a distribution ψ over an n-dimensional space. We expect or desire ψ to behave like a product distribution (or a k-wise independent distribution over its marginals for small k). We propose the problem of enumerating/list-decoding all large subcubes where the distribution ψ deviates markedly from what we expect; we refer to such subcubes as skewed subcubes. Skewed subcubes are certificates of dependencies between small subsets of variables in ψ. We motivate this problem by showing that it arises naturally in the context of algorithmic fairness and anomaly detection.In this work we focus on the special but important case where the space is the Boolean hypercube, and the expected marginals are uniform. We show that the obvious definition of skewed subcubes can lead to intractable list sizes, and propose a better definition of a minimal skewed subcube, which are subcubes whose skew cannot be attributed to a larger subcube that contains it. Our main technical contribution is a list-size bound for this definition and an algorithm to efficiently find all such subcubes. Both the bound and the algorithm rely on Fourier-analytic techniques, especially the powerful hypercontractive inequality.On the lower bounds side, we show that finding skewed subcubes is as hard as the sparse noisy parity problem, and hence our algorithms cannot be improved on substantially without a breakthrough on this problem which is believed to be intractable. Motivated by this, we study alternate models allowing query access to ψ where finding skewed subcubes might be easier.
Challenges and Solutions of Computer Professional English Teaching

For computer science students in China, learning English is very important. Whether new technology or a new product published, the usual version is in English. However, most textbooks in China are mainly in Chinese. Then the students meet difficulties in reading, understanding and expressing by the formal correct way. This paper will introduce how to carry out this course with the idea students are the center of teaching and output based learning under the background of a computer major. It will elaborate from the aspects of challenges in teaching, course objectives, course content, course assessment and feedback, so as to enable students willing to participate in the classroom.
RANCANG BANGUN APLIKASI PENCARIAN PENGAJAR LES MUSIK PADA STARTUP FIRSTUDIO DENGAN METODE MATCHING PROFILE

Firstudio is a startup that is engaged in the music field. Firstudio is engaged in music by providing online studio booking facilities and online teacher searches. From identifying and interviewing the community, instructors, students to the online search process for teachers. The difficulty in finding instructors for music lessons is a major problem that occurs in the community. By using the teacher's matching profile method and students can choose the criteria according to their wishes. In addition students can also directly choose instructors who have been recommended based on criteria. Of the several porblems that have been described, the solution given is the presence of a teacher search application with matching profile method. With this application, it is expected to make it easier for students to find instructors who are in accordance with the required criteria.
3.1 aana land on sale at Machhegaun, Chandragiri Nagarpalika -08, Kath

Land For sale In Machhegaun, Ward No. 8, Chandragiri Municipality, Kathmandu, Pradesh 3 Nepal
Library Guides: Shared Library Services Platform project: Home

A change is coming to search, including the Libraries catalog and databases. Learn more about the project and what to expect.
Online clustering for novelty detection and concept drift in data streams

Data streams are related to large amounts of data that can continuously arrive with a probability distribution that may change over time. Depending on the changes in the data distribution, different phenomena can occur, like new classes can appear or concept drift can occur in existing classes. Machine Learning algorithms have been often used to model this data. New classes are patterns that were not seen during the training of the current classification model, but appear after some time. Concept drift occurs when the concepts associated with a dataset change as new data arrive. This paper proposes a new algorithm based on kNN that uses micro-clusters as prototypes and incrementally updates the micro-clusters or creates new micro-clusters when novelties are detected. In the online phase, each instance close to a micro-cluster is considered an extension of the micro-cluster, being used to adapt the model to concept drift. The proposed algorithm is experimentally compared with a state-of-the-art classifier from the data stream literature and one baseline. According to the experimental results, the proposed algorithm increases the predictive performance over time by incrementally learning changes in the data distribution.
Comparison of methods for predicting the spatial distribution of P2O5 in the ore body of the Apatite circus deposit

In recent decades, there has been an active interaction of geological and mathematical sciences.One of the main directions of the introduction of mathematics into geology and the practice of geological exploration is the mathematical modeling of geological objects.In the Kirovsk-Apatit district of the Murmansk region, enterprise the Kirov branch of Apatit, JSC, is developing six fields: Plateau Rasvumchorr, Kukisvumchorrskoe, Yuksporskoe, Apatity circus, Koashviskoye and Nyurpakhskoye.At the moment, Ventyx MineScape (Australia) is actively being implemented in Apatit JSC.This is a set of integrated modules used in mining operations at enterprises conducting open / underground mining of ore deposits.Also at the Mining Institute of the Kola Scientific Center of the Russian Academy of Sciences (Apatity, Murmansk region), the computer modeling system MINEFRAME has been created and constantly improved.Today, it is an integrated software package designed to solve a wide range of geological, mining and technological problems.As example of the Apatite Circus deposit, the prospects of joint use of mining and geological information systems MineScape and MINEFRAME for mathematical modeling of geological objects and a geostatistical description of the spatial distribution of the mineral are shown.The article discusses the results of a geostatistical study of the distribution of the useful component (P 2 O 5 ) within the ore body bounded by the framework model of balance ores from the Apatite circus deposit, and also two block models are constructed.The blocks of the first model were filled using the method of inverse distances, the blocks of the secondby the usual kriging method.At the end of the article, to select the most suitable method for the field, there has been made a comparison between the average contents obtained by using the methods of conventional kriging and inverse distances.
On the Utilization of Reversible Colour Transforms for Lossless 2-D Data Compression

Reversible Colour Transforms (RCTs) in conjunction with Bi-level Burrows–Wheeler Compression Algorithm (BBWCA) allows for high-level lossless image compression as demonstrated in this study. The RCTs transformation results in exceedingly coordinated image information among the neighbouring pixels as compared to the RGB colour space. This aids the Burrows–Wheeler Transform (BWT) based compression scheme and achieves compression ratios of high degree at the subsequent steps of the program. Validation has been done by comparing the proposed scheme across a range of benchmarks schemes and the performance of the proposed scheme is above par the other schemes. The proposed compression outperforms the techniques exclusively developed for 2-D electrocardiogram (EEG), RASTER map and Color Filter Array (CFA) image compression. The proposed system shows no dependency over parameters like image size, its type or the medium in which it is captured. A comprehensive analysis of the proposed scheme concludes that it achieves a significant increase in compression and depicts comparable complexity similar to the various benchmark schemes.
The Impact of Perceived Organizational Support on the Quality of Educational Services at Arab Universities

The current study explored the impact of perceived organizational support on the quality of educational services at Arab universities. The descriptive analytical approach was used with a total sample consisting of 215 participants, from Jizan University, and participants from the International Islamic Sciences University. The results of the study showed that the level of both the perceived organizational support and the quality of educational services in universities, the study sample was medium. The results also showed a significant impact of the perceived organizational support on the quality of educational services at Arab universities. In addition to that, there are significant differences at the level of (&amp;alpha; &amp;le; 0,05) in the quality of educational services level (quality of academic and administrative services, and the quality of facilities and equipment and quality of reputation) at Arab universities that can be attributed to (gender). And no significant differences at the level of (&amp;alpha; &amp;le; 0,05) in the quality of educational services level (Quality of academic services, quality of administrative services, quality of facilities and equipment and quality of reputation) at Arab universities, that can be attributed (to experience and work nature). The study recommended the necessity of raising the level of perceived organizational support and raising the quality of educational services at Arab universities.
Pembangunan E-Commerce Pada Kegiatan Penjualan Probiotik Herbal Sari Rempah Berbasis Website Study Kasus UKM “Wiro Djoyo” Reksosari

The study is entitled the use of E-commerce to support MSMEs in marketing the "Wiro Djoyo" Case Study. UKM Wiro Djoyo Is one of the small and medium businesses engaged in selling herbal probiotics from Semarang such as herbal probiotics, tough and oil. This business is addressed to Reksosari, RT 09 / RW 01, Reksosari, Suruh, Semarang Regency. The product marketing system at Wiro Djoyo UKM is still very simple, namely by verbally conveying it by several people who have family ties or friends working with UKM Wiro Djoyo. Whereas for marketing the buyer still has to come to UKM Wiro Djoyo. So consumers who are far outside the area do not know the available address, so they are reluctant to come directly. The purpose of this study is to design, implement, and test e-commerce web-based e-commerce applications for product marketing at Wiro Djoyo. The research method used is a waterfall. Object modeling using UML. For coding using PHP and for databases using Myql. The results achieved are an e-commerce web to facilitate promotion and facilitate consumers in product marketing.