Reviewerly/exHarmony huggingface dataset:
Gate-based circuit designs for quantum adder-inspired quantum random walks on superconducting qubits

Quantum random walks, which drew much attention over the past few decades for their distinctly nonclassical behavior, are a promising subfield within quantum computing. Theoretical framework and applications for these walks have seen many great mathematical advances, with experimental demonstrations now catching up. In this study, we examine the viability of implementing coin quantum random walks using a Quantum Adder-based Shift Operator, with quantum circuit designs specifically for superconducting qubits. We focus on the strengths and weaknesses of these walks, particularly circuit depth, gate count, connectivity requirements and scalability. We propose and analyze a novel approach to implementing boundary conditions for these walks, demonstrating the technique explicitly in one and two dimensions. Finally, we present several fidelity results from running our circuits on IBM’s quantum volume 32 ‘Toronto’ chip, showcasing the extent to which these noisy intermediate-scale quantum devices can currently handle quantum walks.
Analysis of block encryption algorithms being used in devices with restricted amount of technological possibilities

This report is devoted to the comparative analysis of the lightweight NASH block encryption algorithm and the algorithm presented by USA National Security Agency in 2013 – SPECK. Their detailed description is given, the analysis is made. The task of the study is to investigate and analyze cryptographic encryption algorithms used in devices with limited capabilities such as microcontrollers. The study of lightweight encryption algorithms and their application for cybersecurity tasks is necessary to create the latest cryptographic systems aimed at preventing various types of attacks. The study revealed that the NASH block encryption algorithm showed more optimized performance, since the number of rounds of cipher execution is less than that Speck algorithm, which provides greater stability of algorithm with least number of executable rounds.
COVID-19 and its Setback to the Educational Sector in Nigeria: The Way Forward

Globally, the world is faced with the COVID-19pandemic which has held the economy at ransom not exempting the educational sector. This pandemic has brought about recent changes and disruptions in the educational sector which serves as a catalyst for the development of any nation. Educational sector globally is seen to be shifting towards e-learning in order to cushion the effect of this pandemic. However, developing countries evidence from the Nigerian experience are posed with the challenge of shifting from the traditional teaching method to the e-learning during the pandemic. The challenges arise as a result of the varying degree of preparedness of the institutions,lack of infrastructures, and paucity of funds and policy issues in the Nigerian education sector. In a style of a qualitative research, these paper seeks to look at an overview of covid-19, global response to covid-19, impact of covid-19 on education and proffer recommendations to cushion these effect.Part of the recommendations include,government should immediately embark on the integration of all schools and institutions into online education, direct all the higher institutions to extend physical teaching and research activities to the online network, conduct teaching seminars online, jointly solve new problems that may arise in the teaching process. The government should endeavour to purchase laptops for each students both in the Basic, Secondary and Tertiary institutions, however, they should provide internet facilities in schools and constant electric supply to ease learning for students online.
GEOMETRIC PROPERTIES ANALYSIS OF GERAN VALLEY BASIN IN ALJAZEERA DISTRICT-ANBAR PROVINCE

The basin of Gran valley is considered as one of dry valleys in Aljazeera district that belongs to Hit municipality 180 km west Baghdad. Area unit was conformed from some measured quantitative properties. Geomorphological and morphometric properties was used to construct data base relied on topographical maps, satellite image and DEM. Basin topography was studied. These landforms were parted into topological, erosional, sedimentary and carstic origins forms. Furthermore, morphometric properties represented the relationships among factors, corrosion processes and terrestrial phenomena such as area, forms, topography and aquatic drain net. Moreover, longitudinal, cross- sections and natural factors were associated. Results revealed that area of basin was 91.41 km2 which its water flew in Euphrates. The basin was very meandering semi-oval shape. Its river levels were 4 with 121 courses that possessed overall length of 149.7 km.
Evaluating Single Image Dehazing Methods Under Realistic Sunlight Haze

Haze can degrade the visibility and the image quality drastically, thus degrading the performance of computer vision tasks such as object detection. Single image dehazing is a challenging and ill-posed problem, despite being widely studied. Most existing methods assume that haze has a uniform/homogeneous distribution and haze can have a single color, i.e. grayish white color similar to smoke, while in reality haze can be distributed non-uniformly with different patterns and colors. In this paper, we focus on haze created by sunlight as it is one of the most prevalent types of haze in the wild. Sunlight can generate non-uniformly distributed haze with drastic density changes due to sun rays and also a spectrum of haze color due to sunlight color changes during the day. This presents a new challenge to image dehazing methods. For these methods to be practical, this problem needs to be addressed. To quantify the challenges and assess the performance of these methods, we present a sunlight haze benchmark dataset, Sun-Haze, containing 107 hazy images with different types of haze created by sunlight having a variety of intensity and color. We evaluate a representative set of state-of-the-art image dehazing methods on this benchmark dataset in terms of standard metrics such as PSNR, SSIM, CIEDE2000, PI and NIQE. Our results provide information on limitations of current methods, and on the practicality of their underlying assumptions.
Brain Tumor Image De-noising Using Edge Adaptive Total Variation Denoising Algorithm

Brain tumor is an abnormality in brain cells caused due to mutations in brain cells. Detection of these tumors is done by using Magnetic Resonance Imaging (MRI) scanning. Researchers have been working on the automated brain tumor detection and classification techniques to assist doctors in diagnosis process. The MRI scans obtained are sometimes affected by noise. To eliminate this noise, image denoising techniques are used. But these techniques remove the noise at the cost of blurring the edges by lowering the resolution and the quality of the image. Retaining the edges present in the brain tumor image is very important for further processing. This paper presents a brain tumor denoising technique by using Edge adaptive total variation. The proposed algorithm analyses the edges present at every pixel while denoising, by using the gradient angle at the pixel. This enhances the performance of the algorithm by retaining the edges of the image while denoising. The algorithm has been compared with existing techniques and has proven to be very effective in removing noise from the image.
Availability of COVID-19 related products on Tor darknet markets

Twenty Tor darknet markets were surveyed on 3 April 2020 to conduct a census of COVID-19 related medical products and supplies. There were 645 listings, including 222 unique listings, of COVID-19 related products across 12 markets. Three markets accounted for 85 percent of all unique listings identified. Of the 110 vendors identified, eight were active in multiple markets. A small proportion of vendors accounted for most listings. The estimated value of all unique listings was A$369,000. Personal protective equipment accounted for nearly half of all unique listings, and one third of products were antiviral or repurposed medicines. Supposed vaccines, tests and diagnostic instruments each accounted for nearly 10 percent of listings.
Quickstart in LIS Classrooms: Media Materials, Technology, and the Pandemic

This paper presents the approach undertaken in teaching the undergraduate course LIS 131: Media Materials and Technology, and its graduate equivalent LIS 264: Media Technology in Library and Information Science during the pandemic. These courses are offered by the School of Library and Information Studies, University of the Philippines Diliman. In the middle of the global pandemic, a quickstart student-content approach was done with the intention of getting the students up and running as quickly as possible, with enough know-how to help them along for tasks and projects associated with school and work. A comprehensive overview for each topic was formulated, only essentials were retained with familiarity and appreciation as the goal, and they were not explicitly meant to lead the students to professional work in media production. The quickstart student-content approach revolved around four main components: a. Concepts; b. Options; c. Demonstration; and d. Challenge.
Knowledge Management System Analysis and Planning For Employee Recruitment and Training

The development of science in the era of globalization is happening so quickly. The ability of humans to develop avariety of science (knowledge) is getting better with the tacit and explicit knowledge. From this development both tacit and explicit knowledge can be combined and varied to a Knowledge Management System. PT SCF (Limited) Palembang branch is a company engaged in the field of inspection and certification services. The problem faced by this company is that the process and media for sharing and transferring knowledge between colleagues is still small and not yet entrenched. This condition makes the company less effective in terms of producing and disseminating knowledge to staff quickly and accurately. Documentation of daily activities and routines are not carried out in a planned and integrated manner. Each department carries out its own activitiesin its own way, for example storing documentation on a CD, as well as a piece of paper. So, the authors are interested in analyzing and designing Web Knowledge Management System. The methods used were the object analysis and design method.While the tools for modeling used was Unified Modeling Language (UML). The result obtained is a prototype web Knowledge Management System (KMS) that can be a media of information and knowledge sharing related to employee acceptance and training.
Reconstructing Event Regions for Event Extraction via Graph Attention Networks.

Event information is usually scattered across multiple sentences within a document. The local sentence-level event extractors often yield many noisy event role filler extractions in the absence of a broader view of the document-level context. Filtering spurious extractions and aggregating event information in a document remains a challenging problem. Following the observation that a document has several relevant event regions densely populated with event role fillers, we build graphs with candidate role filler extractions enriched by sentential embeddings as nodes, and use graph attention networks to identify event regions in a document and aggregate event information. We characterize edges between candidate extractions in a graph into rich vector representations to facilitate event region identification. The experimental results on two datasets of two languages show that our approach yields new state-of-the-art performance for the challenging event extraction task.
Формування та розвиток головних принципів театральної системи М. Чехова в контексті зміни світосприйняття актора

The purpose of the work is to analyze the formation and development of the main principles of M. Chekhov’s theatrical system in the context of changing the actor’s worldview of theatrical art. Investigate the theatrical and pedagogical system M. Chekhov as one of the world’s leading theatrical practices, as a synthesis of complex complementary and mutually enriching intercultural processes; to determine the artist’s influence on the reform of the European and American schools of acting art. The research methodology is based on the use of the following scientific approaches: cognitive - for in-depth study of the diversity of M. Chekhov’s creative activity as the author of the unique acting “Chekhov’s System”; cultural is to compare and confront historical, pedagogical and art components in the activities of M. Chekhov; analytical is to identify the basic principles of the methodology of acting skills of M. Chekhov. Scientific novelty. The acting and directing activity of M. Chekhov in the context of features of preparation actor’s technique and development of own method of production harmonization have been investigated; the specifics of innovative concepts of M. Chekhov’s theatrical directing methods have been determined; the influence of the master’s directing activity on the development of modern world theatrical practice in the context of the worldview of the actor has been characterized. Conclusions. M. Chekhov’s activities were aimed at creating a new theater, both literally and figuratively, using techniques developed through teaching and experiments. The study of Mikhail Chekhov’s methodology in the context of the specifics of modern acting training allows us to note that the attitude to the creative and pedagogical heritage of M. Chekhov is special, as recognized professional actors for more than half a century consider his method the foundation for further creative research, and the exercises developed for acting training are the basis of their own technique.
Rating of educational programs for a university as a tool to improve the quality of education (on the example of the NEFU)

One of the problems in higher education in the Russian Federation is how to improve the quality of educational services provided. The article discusses the use of the rating of educational programs of a university as one of the tools to increase the effectiveness of educational programs that affect the quality of education. The following indicators are components of monitoring the implementation of the university’s educational programs: staffing, documentation, the average Unified State Exam score, prevention from dropout, the occupancy of groups, the employment and assignment of graduates. With the development of digital technologies, conducting such monitoring should not become an additional burden in the activities for the educational institution. On the contrary, drawing up the rating of educational programs based on monitoring results should help leaders of various ranks of an educational institution in making managerial decisions to correct and eliminate inconsistencies found. The scientific innovation of this study is that the optimal indicators for monitoring educational programs were determined, taking into account the requirements of the state program of the Russian Federation «Development of education». The monitoring of educational programs of the North-Eastern Federal University resulted in the closure of ineffective programs and the opening of new undergraduate and graduate programs in demand on the educational services market.
INTEGRATION OF MASS OPEN ONLINE COURSES IN THE EDUCATIONAL PROCESS OF A PEDAGOGICAL UNIVERSITY

The relevance of the problem stated in the article is due to the fact that the role and functions of higher education institutions is fundamentally changing nowadays. It happens thanks to breakthrough IT solutions in various areas of human life, the development of online learning technologies, and the increased need for fast and highly specialized education. This is primarily due to the demands of the time – the transformation of the modern world economy towards digitalization. The purpose of the work was to obtain objective information about the effectiveness of the use of innovative forms in the educational process of higher education. The implementation of the priority project in the field of education "Modern digital educational environment in the Russian Federation" allowed us to deploy a national Internet platform with the possibility of integrating mass open online courses (MOOCs) into the educational process. This approach has opened up new opportunities for universities to implement online educational programs and use Internet technologies to form individual educational trajectories of students. A priori, the high quality of moocs was declared and, as a result, the high quality of students educational results. However, there were no separate studies on the quality of students' competence formation. The article considers models for organizing the educational process in higher education using mass open online courses, describes the experience of the Bashkir state pedagogical University named after M. Akmulla as a specialized pedagogical university, considers private methods for online and offline training in the higher education system, and presents experimental data on the introduction of online lectures as an element of MOOCs in the educational process of a pedagogical university. The authors as well studied the students' opinions about new forms of education.
PENGEMBANGAN BAHAN AJAR BERBASIS PENDEKATAN OPEN ENDED PADA MATERI FPB/KPK KELAS IV UNTUK MENINGKATKAN KEMAMPUAN PENALARAN SISWA DI SD NEGERI TAMBAKREJO 01 SEMARANG

The purpose of this study was to describe the feasibility of teaching materials based on an open-ended approach to improve the reasoning abilities of fourth grade students in elementary schools. This type of research is research and development (Research and Development). The subjects of this study were 3 classroom teachers. The data analysis technique used is descriptive qualitative data analysis (data reduction, data presentation and conclusion) and quantitative descriptive data analysis. Based on the results of stage 1 media validation, it was obtained 84.8%, and the results of stage 2 media validation were obtained 94.8%. The result of material validation for stage 1 was obtained 84.6%, and validation for material for stage 2 was obtained 93.3%. The results of initial field trials obtained media 93.7% and material 92.3%. This shows that the teaching material is declared valid and suitable for use. Based on the results of this study, the suggestion that can be conveyed is that teaching materials based on an open-ended approach can be used as a tool for teaching and learning resources for students.
Research Guides: Electronic Lab Notebooks (ELN): Open Science Framework (OSF)

An electronic laboratory notebook (ELN) is a software tool that replicates a traditional paper lab notebook.
LibGuides: PY 230 - Criminal Psychology: DeLuca: Citing in APA Style

This guide is designed to help students locate resources to successfully complete their research project on a serial killer.
Research on the Reform of Practice Teaching System of Digital Media Technology Specialty under the Background of Engineering Education Certification

After applying the traditional teaching system reform method, the teaching system can not track the industry changes in time, and the teaching knowledge is relatively backward, which leads to the poor practical ability and employment competitiveness of students. In view of the above problems, this paper studies the reform method of practical teaching system of digital media technology specialty under the background of engineering education certification. Firstly, through the investigation and analysis, the reform direction of practice teaching system of digital media technology specialty is clarified. After constructing the new teaching system framework under the background of engineering education certification, the reform measures are put forward to complete the reform of practical teaching system. The application of the reform method of the research is verified by an example, which proves that the reform method can effectively improve students' comprehensive practical ability and enhance their employment competitiveness.
Explaining Word Embeddings via Disentangled Representation.

Disentangled representations have attracted increasing attention recently. However, how to transfer the desired properties of disentanglement to word representations is unclear. In this work, we propose to transform typical dense word vectors into disentangled embeddings featuring improved interpretability via encoding polysemous semantics separately. We also found the modular structure of our disentangled word embeddings helps generate more efficient and effective features for natural language processing tasks.
Influence of Competence and Locus of Control on Readiness of Accounting Department Students Facing the World of Work Era Industrial Revolution 4.0

This study discusses ethical competencies, knowledge competencies, capability competencies, relationship competencies, analytical competencies, and locus of control on the readiness of students majoring in accounting in the world of work of the revolution era 4.0. The population of the study was in the 2017 class of faculty of economics and business students of Udayana University. The research sample was determined by the nonprobability sampling method which obtained a total sample of 166 people. The data analysis technique used is multiple linear regression analysis. The results showed that the results showed ethical competence, knowledge competence, capability competence, relationship competence, analytical competence, and locus of control had a positive effect on the readiness of students majoring in accounting in connecting the world of work of the industrial revolution era 4.0.
PENGARUH PENETAPAN REWARD DAN PUNISHMENT TERHADAP MOTIVASI BELAJAR SISWA PADA SDN 035 TEMBILAHAN

This purpose of the research  aims to determine the effect of reward and punishment on student learning motivation at SDN 035 Tembilahan. Data analysis using multiple linear regression equation. From the results of research on the effect of reward and punishment determination on student learning motivation at SDN 035 Tembilahan, it is obtained the multiple linear regression equation, namely: Y = 3.072 + 1.203X1 + 0.430X2 + e. From the results of the coefficient of determination, the value of R Square (R2) is 68.3%. Reward and punishment have an effect on the learning motivation of SDN 035 Tembilahan students, and the remaining 31.7% is influenced by other variables that are not examined. Based on the partial test, the t value of reward is 7.624 and t count is 2.127 of punishment. With the simultaneous test, the calculated f value is 29.063.
OPTIMALISASI PROGRAM LAYANAN KHUSUS DI SEKOLAH UNTUK PENINGKATAN KUALITAS PESERTA DIDIK

Learners are a core component of educational activities. The era of competition among educational institutions so tight as it is today, the school must strive in earnest to get learners. There is even a chairman of the foundation of education that says that seek learners is much more difficult than looking for a new teacher. Mananjemen student not only shaped data recording learners, but covers broader aspects yange operationally to assist the efforts of growth and development of learners through the process of education in schools. As a special service of learners includes guidance and counseling services, library services, a cafeteria service / kafetarian, health services, transformation services schools, service hostel, and services extracurricular, laboratory services, and security. A special service was held in the school with a view to facilitate the implementation of teaching in order to accomplish the goals of education in schools. Special service management is a process of providing services to the needs of learners to support learning activities for educational purposes can be achieved effectively and efficiently.