Reviewerly/exHarmony huggingface dataset:
Statistical Testing of Randomness

The problem of constructing effective statistical tests for random sequences of binary digits is considered. The effectiveness of such statistical tests is mainly estimated on the basis of experiments with various random number generators. We consider this problem in the framework of mathematical statistics and find an asymptotic estimate for the p-value of the optimal test in the case when the alternative hypothesis is an unknown stationary ergodic source.
DSBN: Detail-Structure Blending Network for video super-resolution

Video super-resolution (VSR) aims to generate a high-resolution (HR) video by reconstructing each frame from the corresponding low-resolution (LR) frame and its neighboring ones. However, it is challenging to generate a clean HR frame due to displacement between the frames. To alleviate this problem, most existing approaches explicitly aligned neighboring frames to the reference. However, these methods tend to generate noticeable artifacts in the aligned results. In this paper, we propose a detail-structure blending network (DSBN), which structurally aligns the adjacent frames by blending the frames in deep-feature-domain. The DSBN extracts deep features from the reference frame and each neighboring frame separately, and blends the extracted detail and structure information to obtain the well-aligned results. Afterward, a simple reconstruction network generates a final HR frame using the aligned frames. Experimental results on the benchmark datasets demonstrate that our method produces high-quality HR results even from videos with non-rigid motions and occlusions.
The main features of professional motivation of students to study chemistry in English

The article presents the results of the development and testing of a methodology for professional motivation of students to study chemistry in English using modern tools for processing statistical information, namely IBM SPSS Statistics 23 («Statistical Package for the Social Sciences»), designed to conduct applied research in the social and pedagogical sciences, and Microsoft Excel. The factors of motivation that are dominant in the motivational structure of students are determined. The distinctive features of the motivational factors of teaching chemistry in English are justified. Reliability indicators are analyzed including consistency and external (face validity), content (content validity), empirical (empirical validity), discriminate validity (discriminate validity) of the developed tool. Justifications are given for the normal distribution of data and the uniformity of variance. Positive correlations were established between the professional motivation of students to study chemistry in English and the general professional motivation for learning (K. Zamfir’s technique as modified by A. A. Rean) and motivation for success (T. Ehlers’s technique). The levels of professional motivation of students of various courses are determined to study chemistry in English. The results of testing and approbation of the method indicate the possibility of its application for research purposes.
Long distance teaching “elearning” versus in-classroom teaching

This article illustrates the differences of long-distance teaching that is e-Learning (online learning or learning via Internet) and in-classroom education These extraordinary times caused by the CORONAVIRUS-19 have been challenging to all of us—teachers, students, schools, colleges, and most importantly—the families Therefore, this research article explores the teaching aspects of long-distance learning versus in-classroom education It will also provide an insight into teaching methodologies for eLearning compared to pedagogical approach to in-classroom teaching © 2021, Universitatea de Vest Vasile Goldis din Arad All rights reserved
Multi-frame super-resolution for versatile video coding

The latest video coding standard, Versatile Video Coding (VVC), has been finalized in July 2020. In traditional codecs, it is not possible to refer to different resolution pictures in inter-picture prediction except for inter layer cases. However, VVC does support Reference Picture Resampling (RPR), which allows pictures to refer to different resolution pictures so that video resolution can be adaptively switched in sequence. This work’s objective is to improve compression efficiency in the case of RPR. In the preliminary experiments, the compression efficiencies of reduced size encoded case where frames are encoded in half size and up-scaled to their original size and original size encoded case are compared. The result shows that most sequences get worse BD-rate when the sequences are encoded/decoded in reduced size. Here, it is noted that up-scaling is done by VVC Test Model, VTM-10.0, which uses a linear interpolation filter. Thus, the frames cannot recover high-frequency components sufficiently and cannot use temporal correlation. Therefore, this paper proposes a multi-frame super-resolution between frames of different resolutions where some frames are encoded in high quality frames in their original size and other frames in half size by using RPR. The proposed method uses the original size frames, which contain a lot of information, to perform super-resolution to the reduced frame. By doing so, it is observed it saves the bitrate by reducing the frame resolution and increases the quality of reduced frames by using multiframe super-resolution, which leads to improving the compression efficiency.
Soft multilabel learning and deep feature fusion for unsupervised person re-identification

When the microLED is in the forward working direction, it is difficult to precisely adjust its voltage to obtain different brightness. Moreover, when the microLED/OLED is turned on, they will be in a closed state for a long time, causing the image display brightness to be deteriorated by the human eye. In order to solve these problems, this paper proposes a dual-frame decentralized fusion scanning strategy to achieve different brightness by adjusting the microLED/OLED on-time. Firstly, the method de-weights the data bits and inserts their on-times into the closed time. Then the data bit weights are double-frame fused after decentralization. Finally, the scanning order of the data bits is redefined. According to the proposed scanning strategy, we designed a scanning controller to drive digital on-silicon microdisplay. The results show that the dual-frame decentralized fusion scan proposed in this paper can accurately adjust the luminance of microLED/OLED and improve the brightness of the image observed by human eyes. Compared with other scanning strategies, the scanning strategy improves the scanning efficiency to 93.75%, the field frequency is increased to 2040 Hz, the scanning clock frequency is 102.36 MHz, and the scanning data bandwidth is reduced. The feasibility of the scan controller is proved by testing at last.
TAILORING NEW ZEALAND BASED ACADEMIC SUPPORT FOR POSTGRADUATE DISTANCE EDUCATION STUDENTS IN THE PACIFIC REGION TRAINING IN GENERAL PRACTICE

Information about the paper titled "TAILORING NEW ZEALAND BASED ACADEMIC SUPPORT FOR POSTGRADUATE DISTANCE EDUCATION STUDENTS IN THE PACIFIC REGION TRAINING IN GENERAL PRACTICE" at IATED Digital Library
A Two Stage Algorithm for Guiding Data Collection Towards Minimising Input Uncertainty

In stochastic simulation the input models used to drive the simulation are often estimated by collecting data from the real-world system.This can be an expensive and time consuming process so it would therefore be useful to have some guidance on how much data to collect for each input model.Estimating the input models via data introduces a source of variance in the simulation response known as input uncertainty.In this paper we propose a two stage algorithm that guides the initial data collection procedure for a simulation experiment that has a fixed data collection budget, with the objective of minimising input uncertainty in the simulation response.Results show that the algorithm is able to allocate data in a close to optimal manner and compared to two alternative data collection approaches returns a reduced level of input uncertainty.
Developing Research and a Research Culture: Results from a Pilot Project in Pakistan

This paper argues that successful public policy requires engaged research developing ideas and evidence from diverse vantage points. Pakistan’s social science research remains fragmented, under-resourced and dependent on external agendas. We describe a five-year pilot programme to enhance Pakistan’s research culture. Seventy-two crowd-sourced and competitively-selected projects at 46 geographically dispersed institutions were supported. Provincial universities were empowered and networking with the better-placed metropolitan institutions proved mutually beneficial to scholarship. Substantial research outputs were completed in important areas of policy. We conclude that such multi-year commitments to review and network engagement are vital to strengthening policy capacity. Keywords: Pakistan; Research Community; Social Sciences; Networking; Competitive Grants
Effect of a deformed cavity on a time-dependent quantum system containing an entangled two modes.

In this manuscript, the phenomenon of time dependence is treated using the integral property of a model consisting of interaction of an atom with a cavity in which a bi-mode field of an amplifier type. The exact solution is obtained through the Schrodinger equation, followed by the wave function characteristic of the proposed system. The effect of both the deformed pair coherent states and the time dependence on some statistical quantities are studied. The phenomena of revival and collapse are studied by computing the atomic inversion. Moreover, the entanglement between the parts of the quantum system is studied, and the periods of squeezing are determined by entropy squeezing and variance squeezing. The results are also compared and statistical quantities linked together.
Reading and Writing motivation in Chinese elementary grade children

Organized by Special Education Department and the College of Education of NTNU and co-organized by Asia-Pacific Association of Teacher Education
Multi-robot frontier-based exploration strategies for mapping unknown environments

With the recent developments in robotics, mobile robots are gaining momentum and are increasingly involved in our lives. Robot exploration and mapping are essential tasks for robot navigation in unknown environments. In the last three decades the challenge has grown and many researches have tried to accomplish these tasks through a team of robots. The use of multi-robot systems represents a big challenge because they require robots able to collaborate each other and, then, to create coordination techniques to make the multi robot system efficient. Multi-robot mapping introduces many advantages, providing a faster and efficient map building even in high dimensional unknown environments. In a multi-robot system, each robot has to be able to move autonomously in the map, avoiding obstacle and reaching desired goals to explore the environment. Furthermore, in order to explore optimally the environment, e.g. minimizing the exploration time, it is necessary to de ne an effcient technique to determine optimal target points to each robot, considering the multi-robot context, that makes the exploration fast. In this work ve algorithms for multi-robot exploration have been evaluated; four of these are de ned and used in other works and represent the state-of-art in this eld, whereas the fth strategy is a novel solution proposed in this work as a valid and effective multi-robot exploration strategy. Each of these algorithms is frontier-based, i.e., exploiting the frontier-detection approach, which is one of the most common and efficient exploration strategy. These algorithms are tested and analyzed, as well as compared with each other. Moreover, evaluation criteria are presented and discussed to efficiently evaluate the proposed frontier-based algorithm. Finally the outcome of the tests are provided with a discussion emphasizing the difference between different strategies and the improvements of the proposed technique.
LibGuides: Curriculum Materials Center: Diversity in children's books resources

Lesson Plans and Resources for Educators and Students A comprehensive list of websites to help discover diverse books for your students.
ИСПОЛЬЗОВАНИЕ ИНФОРМАЦИОННО- КОММУНИКАЦИОННЫХ ТЕХНОЛОГИЙ НА ОСНОВЕ ДИСТАНЦИОННОГО ОБУЧЕНИЯ В ПРОЦЕССЕ ПОДГОТОВКИ БУДУЩИХ УЧИТЕЛЕЙ МУЗЫКИ

The article deals with the use of information and communication technologies in the process of instrumental training of music teachers based on distance learning. The analysis of comparing and matching different viewpoints of modern teachers from the USA, Russia and Kazakhstan, who explore the issues regarding the use of information and communication technologies in the process of individual music lessons in the context of distance learning, was carried out. The practical guidelines for the use of information and communication technologies in the process of distance learning were developed to improve the performing skills of the future music teacher. Based on the applied research on the use of distance learning in the process of training specialists and practical work in the field of musical and performing pedagogy, the pedagogical terms for the use of information and communication technologies were determined. The analysis of the application possibilities was carried out and the pedagogical terms for the use of information and communication technologies in the training of future music teachers were suggested in this article.
Features of continuous training of teachers of mathematics in the conditions of the digital transformation of education

The article describes the experience of implementing lifelong pedagogical education and suggests the characteristics of the training features of future mathematics teachers at the Perm State Humanitarian Pedagogical University, as well as teachers of the Perm Krai using the information and educational environment in the context of the digital transformation of education. Based on the ideas of the psychological and pedagogical concept related to the description of the creation of conditions for the gradual deepening and expansion of knowledge, skills and abilities of the future teacher in the direction of professionalization, special attention is paid to the founding of the participants in the educational process of the ability to work in a digital environment. The stages of founding such a skill are illustrated by examples of projects completed by students at certain stages of university education. As one of the examples, the structure of a digital teacher’s room, implemented in one of the schools in the city of Perm, is given. In general, the presented content allows us to state that the advantage of the ideas of translating into practice the continuous training of mathematics teachers in the context of the digital transformation of education, noted by the features described by the authors, is their multiplicativity, which implies the possibility of implementation in any region of Russia and in neighboring countries, as well as replication not only in the educational sphere, but also in other areas of human activity. The article can be useful both for students enrolled in the direction of “Pedagogical education” and for specialists in the field of teaching staff training.
“Beautiful Power Shield!” vs. “Explosive Superman Punch!” : A Comparative Analysis of Promotional Metadiscursive Language in eSports and Mixed Martial Arts Sports Commentaries

Sports commentary is an essential part of live broadcasted sports as well as eSports and is a task that requires that the caster be verbally proficient and can maintain a high tempo when speaking, ...
Spaces of the Haar Type on Arbitrary Irregular Grids

The paper deals with Haar-type spaces on arbitrary irregular grids. The choice of non-uniform grids determines the characteristics of the Haar-type space that can be used to construct the wavelet decomposition. Thus, it becomes a possible adaptive choice of the design space depending on the incoming flow. In contrast to the classical approach, this paper considers the possibility of the adaptive compression of the initial flow. The complexity of the algorithm is directly proportional to the length of the initial number flow. Numerical examples are presented.
Investigating the Use of Games in Writing Class

This research aims to find out whether games improve students’ writing ability, to find out whether students perceive the use of games in writing and to find out the challenges faced by teacher when implementing games in writing class. This study is a qualitative study with selected sampling. The instruments for collecting the data were questionnaire, interview, teachers’ diary, and students’ documents. While, data were in the form of questionnaire form, interview transcript, filed note, and students writing. There are three basics findings as follows (1) games can improve students’ writing ability, it concluded that game as media in teaching and learning could improve students writing skill. The process of implementing also gave variations in learning so that the learning would not make the students bore in the class. (2) Students perceive the use of games in writing, students’ perceptions told that applying game is one of good technique to improve students writing ability since it could help on generating idea, organizing, recalling vocabulary and grammar usage. (3) The challenges of implementing games indicate that teachers who have used games for teaching viewed challenges of implementing games effectively and current educational system as less inhibiting factors than those who have not used games for teaching.
Hypertext Induced Topic Search framework based on Relational Semantic Analyzer

A relation analysis algorithm that scores the Web pages is hyperlink-induced subject search also known as portals and experts. The idea behind Hubs & Authorities was focused on a specific insight into web pages generated when the Internet was formed; that is, many web pages called hubs acted as broad directories, which were not impartial in the information kept but used as remixes of a comprehensive information catalogue that directed the users to other prominent pages. A good gateway is a page pointing to many other websites, while a good authoritative describes a page connected by many different hubs. Search engines play a more and more important role with the immense development in knowledge accessible to end users across the Web. It is always less rare, though that the findings collected are a burden of worthless pages regardless of their general purpose. The Network infrastructure of the next generation, defined by the Semantic Web, offers the level of architecture that will transcend this constraint. A variety of search engines were suggested that improve the accuracy of knowledge collection by taking advantage of main material of Semantic Web tools, namely relationships. However most current solutions would function on the annotated entire knowledge base in order to interpret the data. In this paper we recommend a page rank algorithm based on relationships that can be used along with search engines from the semantic web, which basically relies on knowledge that can be retrieved and annotational resources extracted. Pertinence is calculated as the likelihood that a collected resource currently includes associations that the user expected to exist when he established the query. The major contribution of this work is to create an algorithm for scoring results based on the mathematical model of a simultaneous correlation between various keywords and an odd membership score. Compared to the related programmes, conducted test cases have better accuracy rating with sufficient response time.
Driving augmented reality: GeoGebra's new AR features in teaching mathematics

Over the last few years augmented reality has matured from a niche technology with sophisticated hardware in special laboratories to a mobile mass product requiring only standard smartphones. Research on this topic raised some crucial difficulties that come along with the adoption of augmented reality especially for education. This contribution aims to describe in part how the newly developed features of the GeoGebra Augmented Reality mobile application can be used in mathematics education. Previous problems of augmented reality applications are discussed, examples for in-class tasks are presented and possible future research projects in the field are outlined. Thus, this contribution can inspire other researchers and educators to design their own augmented reality applications or related content for learning and teaching mathematics.
Design and Implementation of Automatic Weather Station Using MQTT Protocol

Indonesia is a country with a large territory with various types of weather. However, the weather station in Indonesia is still not equipped with remote data transmission method automatically. Automatic weather station (AWS) which was developed in this study, has the ability to transmit weather data from measurement automatically using technology Message Queuing Telemetry Transport (MQTT) protocol. Based on the testing process by using the MQTT protocol on AWS, the packet data required in the data transmission is quite low, therefore the bandwidth requirement becomes lower as well. The bandwidth usage can be minimized by up to 64%. Moreover, the delay time required for data transmission using MQTT only 0.003 seconds. It is shorter when compared with HTTP which needs 16,658 seconds of delay time. Because of that, the data transmission becomes faster. It is proved that using MQTT on AWS can improve the process of sending weather data more efficiently.
Adaptive Noise Injection for Quality Improvement of Blurry Images

In image processing, noise are often regarded as non-ideal pixel changes. However, these changes may have a positive effect on the blurred images. By adding suitable amount of noise to the right positions, the image quality can be improved. This study makes an investigation of this phenomenon and conducts experiments on the corresponding datasets. Though noise may have a negative impact on the images with good quality, as to the images deteriorated by Gaussian blurriness distortion, noise can improve their subjective image quality.
An Analysis on Students’ Ability in Using Compound-Complex Sentences in Writing a Short Essay

The purpose of the research is to figure out the students’ ability in constructing compound-complex sentence in essays writing. The design used in this research is descriptive research with second year students of English language educational program of UNP as the research population. There were 30 students taken as the sample selected by using cluster sampling technique in K5-2018 class. The data were collected through documents of students’ essay writing. The essays were analyzed by the researcher, and it was revised by a valuator and two raters as the validity and reliability of this research. They are the lecturers of English department at UniversitasNegeri Padang. The finding shows that the ability of students in writing compound-complex sentence is in the level of good with the average percentage 79.18%. Most students generally can make compound-complex sentences in their essays writing, but they have problems in: 1) incorrect use of punctuation, especially comma, 2) lacks a subject or a verb in the compound-complex sentence. Therefore, an intensive attention should be given by the lecturer to facilitate the students to practice both writing and grammar by using peer correction.