Reviewerly/exHarmony huggingface dataset:
The role of the school textbook integrating function in developing holistic view on the scientific picture of the world

The article analyzes a spectrum of school science textbooks and determines the need to create a modern textbook that shows the achievements in natural science disciplines, which are mentioned in the Federation State Educational Standard, UNESCO report and the results of the PISA. The study is primarily based on the theory of a school textbook developed by Russian scientists, V.G. Beilenson, D.D. Zuev, V.V. Kraevsky, S.G. Shapovalenko plus other authors. Based on the criteria put forward for the selection of textbooks, a comparative study of current Russian and British textbooks is carried out on natural science subjects for the final grades of secondary school to identify ways to implement the integrating function. It is shown that the integrating function manifests itself in the relationship between the internal components of the textbook as intra-structural integration, as intra-forms connecting school progress and the textbook with additional material as integration between related subjects. The article highlights principal components interrelated with the textbook, obtained during this research: modules and sections of the textbook; line of textbook series; and the national examination programme for the combined science subjects. It is shown that the integrating function in the school textbook contributes to the formation of a complete worldview of the natural science picture for the development of combined natural science competence.
E-Learning: From an Option to an Obligation

Post COVID-19 outbreak, higher education practices changed considerably around the world. In Bahrain, institutions of higher learning as well as the country’s education quality authority have been challenged in different ways because of the pandemic and have been compelled to resort to e-learning and virtual approaches to quality reviews, respectively. This paper presents an analysis of e-learning in higher education in Bahrain and related quality assurance processes pre-and-post COVID-19. This is in addition to arriving at conclusions about what the next relevant steps forward are. The research method followed in this paper is qualitative, taking the form of a small-scale inquiry cast from a quality assurance perspective, that is social context-dependent and focusing on a specific case (e-learning in Bahrain pre-and-post COVID). It, thus, provides an interpretivist perspective in terms of knowledge. The data analysis points to a need for the establishment of a comprehensive set of guidelines for higher education institutions in Bahrain, to develop their own ‘Quality Assurance in E-Learning’ models. These models are simultaneously ones that can facilitate more accurate and in-depth quality evaluations by the Kingdom’s quality authority.
The Best Academic Administration Personnel Selection Model Using the Weighted Sum Model (WSM)

The program for selecting outstanding academic administrative staff is one of the programs organized by the ministry as a reward for the performance of academic administrative staff.This program is carried out in stages from the university level to the national level.This study aims to create a model of a decision support system to determine outstanding academic administrative personnel at the Sriwijaya State Polytechnic.The method used in this study is the Weighted Sum Model (WSM).The WSM method is the simplest and easiest method and is often used in decision support systems.The model built uses 7 criteria, namely 1) educational qualifications, 2) track record of training or training activities, 3) track record of awards/achievements, 4) rank/class, 5) group tenure, 6) self-description value, 7) the value of individual works.From the alternatives to be chosen, this model has succeeded in providing a ranking recommendation of alternatives from the most recommended, marked by the largest to the smallest weight values.The results of this study indicate that the WSM method is quite reliable in completing the selection of academic administrative personnel in universities.
Performative holography

Holographic works can be considered interactive, although they do not cover all possible types of interaction. The exploration of the holographic image invites the self-knowledge of the relativity of our perception and, consequently, of the vision of our cognitive universe. My research has been about the aesthetics of light, as an entity in itself, and how the viewer interacts with it; holography is one of the media that I have used in this process.
Formal Framework

In this chapter, the formal framework for the method of detection and measurement of terminological saturation is developed. Terminological saturation is regarded as a phenomenon that occurs in domain-bounded collections of professional texts. The chapter begins with the preliminaries that include the definitions helping us frame out the theoretical focus. Next, the research hypotheses that need to be checked with regard to our theoretical framework are presented. Further, the formal introduction of the terminological difference function (thd) and the proof of its metric properties in the space of all possible document collections for a subject domain are elaborated. Consequently, the theorem shaping the sufficient conditions for the existence of terminological saturation is formulated and proven. Finally, the chapter elaborates the refinement of the method that is based on the use of document collection partition and corresponding technique of computing merged partial C-Values. This refinement optimizes the method and enables its scalability to industrial size document collections.
The Influence of Students’ Reading Interest on Writing Ability in Learning Indonesian

The problems discussed in this study aim to determine whether there is an effect of reading interest in science majors on writing skills in learning Indonesian at SMA Negeri 5 Lebong. The approach in this research is quantitative and the type of research used is regressional. The population of this study were students majoring in science at SMA Negeri 5 Lebong and the sample of this study amounted to 65 students. The variables in this study consisted of the independent variable, namely reading interest and the dependent variable, namely the ability to write. The data collection technique was carried out by distributing a questionnaire (questionnaire) for the variable X and a poetry writing test for the Y variable. For testing the validity and reliability of this study using the SPSS version 20 program. Based on the results of data analysis, the t- count value obtained is 5.519 and the t- table is 1.998 , then the t- count value is 5.519 &gt; from t- table 1.998, so it can be concluded that H o rejected and H a acceptability which means "There is the influence of interest in reading (X) on the ability to write (Y) in the Indonesian language learning in SMAN 5 Lebong".&#x0D;
How do US Geoscience departments value (or not-value) JEDI work in faculty evaluation systems?

Earth and Space Science Open Archive PosterOpen AccessYou are viewing the latest version by default [v1]How do US Geoscience departments value (or not-value) JEDI work in faculty evaluation systems?AuthorsJoyeetaBhattacharyaiDMorganWoodleiDAmyCeratoMashhadFahsJaneIrunguElinorMartinLoriSnyderGerilynSoreghaniDMeganElwood MaddenSee all authors Joyeeta BhattacharyaiDCorresponding Author• Submitting AuthorUniversity of Oklahoma Norman CampusiDhttps://orcid.org/0000-0002-7662-4122view email addressThe email was not providedcopy email addressMorgan WoodleiDUniversity of Oklahoma Norman CampusiDhttps://orcid.org/0000-0001-7071-8470view email addressThe email was not providedcopy email addressAmy CeratoUniversity of Oklahomaview email addressThe email was not providedcopy email addressMashhad FahsUniversity of Oklahoma Norman Campusview email addressThe email was not providedcopy email addressJane IrunguUniversity of Oklahoma Norman Campusview email addressThe email was not providedcopy email addressElinor MartinUniversity of Oklahomaview email addressThe email was not providedcopy email addressLori SnyderUniversity of Oklahoma Norman Campusview email addressThe email was not providedcopy email addressGerilyn SoreghaniDUniv of OklahomaiDhttps://orcid.org/0000-0001-6925-5675view email addressThe email was not providedcopy email addressMegan Elwood MaddenUniversity of Oklahomaview email addressThe email was not providedcopy email address
Static output feedback control for the rotation of a 2-DOF differential-algebraic quaternion camera

This work proposes a static output feedback (SOF) image-based control design for a 2 Degree-of-Freedom (2-DOF) camera rotation with the objective of positioning an external feature at a desired projected display coordinate. Using a Differential-Algebraic Representation (DAR) of the nonlinear system to model the rigid-body dynamic equations in terms of quaternions, the Lyapunov stability analysis results in bilinear matrix inequalities (BMI) which are turned into an optimization problem subject to constraints. An algorithm that searches iteratively for the gain and the Lyapunov function coefficients by solving individual linear matrix inequalities (LMI) is used. Numerical examples are provided to evaluate the stabilization and performance results obtained with the proposed method.
NEEDS ANALYSIS OF ANDROID-BASED MEDIA ABOUT DNA REPLICATION MATERIALS AT UNIVERSITIES

The development of science and technology has an important role in the process of improving the quality of education, one of which is by creating a learning medium that can support the learning process. The purpose of this study was to determine the needs of students for Android-based learning media on DNA replication material for genetics courses in the Department of Biology, Faculty of Mathematics and Natural Sciences, UNP. This type of research is a quantitative descriptive study. The method used in data collection was carried out by distributing questionnaires to biology students who had taken genetics courses and interviewing two lecturers in the genetics course. In addition, the data used are in the form of study results obtained by students who have completed the genetics course. The results showed that students experienced difficulties in understanding the DNA replication material due to the abstract material and the lack of interesting learning media. For this reason, an Android-based learning media is needed that can be accessed anywhere and anytime to support student learning.
Design and learning games to organized teaching colorful content – natural Sciences 9 targets development cooperative capacity for students

Teaching and developing learners' capacity are the basic orientation of the general education program as well as the general education subject program of natural sciences. The ability to cooperate is considered an important ability, one of the core competencies that need to be developed for students. There are many measures to develop cooperative capacity for students, in which learning games are one of the effective measures. In this article, we focus on analyzing the manifestations of cooperative competence as the basis for the design and use of learning games to organize teaching in order to develop as well as evaluate cooperative competence. student work.
Text Document Pre-processing Using Graph Theory

In text document, there are different component like words, phrases, sentences, and paragraphs. These text components are connected to each other through various relationships which helps to find meaning, relatedness in the document. The relationship among these components may be based on their occurrences in the document or similarity based on their context or concept. The graph representation of text along with graph operations for necessary pre-processing algorithms are explained in the chapter with examples. The graph characteristics, properties, and operations useful to solve document preprocessing task is well explained in this chapter, The tools/libraries available are also provided in last section of the chapter.
DEVELOPING INTERACTIVE WRITING WORKSHEET DESCRIPTIVE TEXT TO PROMOTE HIGHER ORDER THINKING SKILL FOR EIGHT GRADE STUDENT AT MADRASAH TSANAWIYAH NEGERI 2 MEDAN

Putri, Firsty Azirila. Registration Number: 2153121012. Developing Interactive Writing Worksheet to Promote Higher Order Thinking Skill for Eight Grade Student at Madrasah Tsanawiyah Negeri 2 Medan. English Education Program, Universitas Negeri Medan, 2020. The aimed of this study was to develop students’ interactive writing worksheet descriptive text to promote higher order thinking skill. This study was conducted by using Research and Development (R&amp;D) through six stages: gathering information and data, analyzing data, designing materials, validating by experts, revising, and final product. The subject of the study was grade VIII at Madrasah Tsanawiyah Negeri 2 Medan. The instruments of the data collection were gathered by interview the teacher and giving the questionnaire. The study conducted interview to English teacher and giving the questionnaire to 35 respondents to get the students’ needs. The interview and questionnaire result proved that the students’ need English learning media which can motivate the students to understand about interactive writing worksheet descriptive text. The product had been validated by the experts namely English teacher and English lecturer. The product result was Interactive Writing Worksheet which had been modified to promote Higher Order Thinking Skill. The result of the experts’ validation showed that the media was appropriate to be used on the interactive writing worksheet by getting the average score is 4.5 categorized excellent.
Correlation Patterns among Online Reading, Offline Reading, Metacognitive Reading Strategy Awareness, and General English Proficiency

Online reading has developed into a primary method of obtaining information in the digital era.Nevertheless, research that identifies factors contributing to EFL university students' online reading comprehension success is limited.The study aimed to understand the relationship among three factors related to online reading comprehension, i.e., metacognitive reading strategy awareness, offline reading ability, and general English proficiency.A correlational study was employed involving twenty-nine English department students from various proficiency levels.Data were gathered using an online survey of reading strategies (OSORS) and an English proficiency test.Regression analyses, performed on the three factors and online reading comprehension, revealed that the correlation between general English proficiency test results and online reading comprehension was significantly positive with a medium degree.However, the other two related factors, i.e., metacognitive reading strategy awareness and offline reading ability, showed no significant correlation with online reading comprehension.The result may be due to the lack of metacognitive reading strategy awareness and the different nature of offline and online reading.Thus, language teaching and learning practice is urgently needed to address these issues more explicitly.
Understanding and Implementing 3D Objects

Having great visual elements can give your app a unique personality. In this tutorial, we will look at 3D objects creation toolsets, online resources for 3D objects, and SceneKit supported formats and, most importantly, learn to build a very simple ARKit app using SceneKit.
Geometric-inspired Particle Swarm Optimization (PSO) for Classification Tasks

The ultimate performance of particle swarm optimization is influenced by hyper-parameters like the inertia, cognitive and social coefficient values.These hyper-parameters have a significant effect on search capability of the particle swarm optimization.When looking at previous studies that are carried out to calculate these coefficients, none of these studies has been inspired by geometric techniques to illustrate for the influence of these components on best position realization.In this, article a geometric approach to how the allocation of social, cognitive and inertia regions on a search space enables particles to move to their best positions at every iteration time.In experiment and benchmark tests, the study validates the applicability of the proposed approach to classification problem using EMNIST dataset.The modified PSO approach gives successful results in separating data into appropriate classes which confirms that the proposed method is highly competitive in guiding the directional movement of the particles towards the best positions.
Overview of Some Learning Methods for Early Childhood

Choosing a learning method in early childhood education is a method used by educators in carrying out learning activities for children to achieve certain competencies optimally. The purpose of this review of several learning methods in early childhood education is to obtain information about the growth and development that has been achieved by him during his education in learning in early childhood education. There are several lessons in early childhood education, and each method has its advantages and disadvantages. Based on the results of the discussion, it is known that each learning method in early childhood education has advantages and disadvantages. Therefore, educators in early childhood must be able to choose an appropriate method according to the goals, situations and conditions of their students.
Literature Review on Soft Computing Based Optimization Models

Soft computing is the use of approximate computations to give squishy but usable results to complex computational problems. The approach enables results for problems that may be either unattainable or just too time- consuming to break with current tackle. Soft computing is occasionally appertained to as computational intelligence. Soft computing provides an approach to problem- working using means other than computers. With the mortal mind as a part model, soft computing is tolerant of partial trueness, query, imprecision and approximation, unlike traditional computing models. The forbearance of soft computing allows experimenters to approach some problems that traditional computing cannot reuse. Soft computing uses element fields of study in, sense, literacy, Inheritable algorithms, artificial neural networks etc.As a field of fine and computer study, soft computing has been around since the 1990s. The alleviation was the mortal mind's capability to form real- world results to problems through approximation. Soft computing contrasts with possibility, an approach that's used when there isn't enough information available to break a problem. In discrepancy, soft computing is used where the problem isn't adequately specified for the use of conventional calculation and computer ways. Soft computing has multitudinous real- world operations in domestic, marketable and artificial situations. Keyword: Fuzzy Logic, Genetic Algorithm, Artificial neural Network
Decision-making psychology and method under zero-knowledge context

For a certain kind of decision event, the decision maker does not know the internal mechanism and knowledge information of the decision events.When this kind of decision events gives multiple selection branches, it is found that there is a decision psychological tendency to find the most common features by comparing the selection branches. Based on this, a zero-knowledge decision making (ZKDM) method is proposed. By defining the feature points and feature sets of the selection branches of the decision events, the characteristic moments of the system are constructed and the branch with the most common characteristics is obtained. It is observed that through the findings of investigation the probability of arriving at the correct choice based on the ZKDM method is high. The effectiveness of the ZKDM method may be related to the fact that the designers of decision events usually determine the correct selection branch first, before changing it to design other branches. A questionnaire survey of 279 respondents reveals that more than half of them actually adopt such a design idea. Furthermore, a separate questionnaire survey of 465 decision-makers reveal that 19.14% of the respondents clearly adopt ZKDM.
Tiling Enumeration of Hexagons with Off-Central Holes

This paper is the sequel of the author's previous paper about tiling enumerations of the cored versions of a doubly-intruded hexagon (Electron. J. Combin. 2020), in which we generalized Ciucu's work about $F$-cored hexagons (Adv. Math. 2017). This paper provides an extensive list of thirty tiling enumerations of hexagons with three collinear chains of triangular holes. Besides two chains of holes attaching to the boundary of the hexagon, we remove one more chain of triangles that is slightly off the center of the hexagon. Two of our enumerations imply two conjectures posed by Ciucu, Eisenkolbl, Krattenthaler, and Zare (J. Combin. Theory Ser. A 2001).
Effective Algorithm to Control Depth Level for Performance Improvement of Sound Tracing

Sound tracing, a 3D sound rendering technology based on ray tracing, is a very costly method for calculating sound propagation. To reduce its expense, we propose an algorithm for adjusting the depth based on frame coherence and spatial characteristics. The results of the experiment indicate that when the sound source and listener were indoors, the reflection path loss rate was 3%, the diffraction path loss rate was 15.4%, and the total frame rate increased by 6.25%. When the listener was outdoors and the sound source was indoors, the reflection path and diffraction path loss rate were 0%, and the total frame rate was increased by 33.33 compared to the conventional method. Thus, the proposed algorithm can improve rendering performance while minimizing path loss rate.
Robust Template Update Strategy for Efficient Visual Object Tracking

Real-time visual object tracking is an open problem in computer vision, with multiple applications in the industry, such as autonomous vehicles, human-machine interaction, intelligent cinematography, automated surveillance, and autonomous social navigation. The challenge of tracking a target of interest is critical to all of these applications. Recently, tracking algorithms that use siamese neural networks trained offline on large-scale datasets of image pairs have achieved the best performance exceeding real-time speed on multiple benchmarks. Results show that siamese approaches can be applied to enhance the tracking capabilities by learning deeper features of the object’s appearance. SiamMask utilized the power of siamese networks and supervised learning approaches to solve the problem of arbitrary object tracking in real-time speed. However, its practical applications are limited due to failures encountered during testing. In order to improve the robustness of the tracker and make it applicable for the intended real-world application, two improvements have been incorporated, each addressing a different aspect of the tracking task. The first one is a data augmentation strategy to consider both motion-blur and low-resolution during training. It aims to increase the robustness of the tracker against a motion-blurred and low-resolution frames during inference. The second improvement is a target template update strategy that utilizes both the initial ground truth template and a supplementary updatable template, which considers the score of the predicted target for an efficient template update strategy by avoiding template updates during severe occlusion. All of the improvements were extensively evaluated and have achieved state-of-the-art performance in the VOT2018 and VOT2019 benchmarks. Our method (VPU-SiamM) has been submitted to the VOT-ST 2020 challenge, and it is ranked 16th out of 38 submitted tracking methods according to the Expected average overlap (EAO) metrics. VPU_SiamM Implementation can be found from the VOT2020 Trackers repository1.