Reviewerly/exHarmony huggingface dataset:
Analisis Pengaruh Motivasi dan Disiplin Belajar Pada Pembelajaran Daring di Masa Pandemi Covid-19

The objective of this research was to analyze the effect of learning motivation on learning outcomes, the influence of learning discipline on learning outcomes, and the influence of motivation and learning discipline on learning outcomes during online learning. This research was a quantitative research with ex post facto method. The population of this research amounted to 136 students. The sampling technique used was probability sampling using a simple random sampling technique with the outcomes of 58 students. The data collection technique used was a questionnaire to collect data on student answers and documentation in order to obtain data on learning outcomes. The data analysis techniques used was multiple linear regression test. The outcomes of this research indicated that there was an influence between learning motivation on learning outcomes of 62.7%, learning discipline on learning outcomes of 37.3%, and simultaneously learning motivation and learning discipline on mathematics learning outcomes of 65.6%. The conclusion of this study shows that there is an influence between learning motivation and learning outcomes, learning discipline and learning outcomes as well as learning motivation and learning discipline on mathematics learning outcomes in fourth grade students.
Categorizing Multi-Label Product Questionnaires through SVM Based Click stream

In this paper, Question Categorization (QC) has been studied most primarily in order to understand customers' search intention. In both of these searches, the items in the question list relate to the category label belonging to the taxonomy tree that is being examined. Despite this, search queries about the product usually vary depending on what is vague, and introduce new products over time, seasonal trends and narrow. Traditional supervised approaches to E-Commerce QC are not possible due to the high volume of traffic and high cost for manual annotation in E-Commerce search engines. Here, clickstream data is utilized to determine the effectiveness of a channel's marketplace. So, using the customer's click concept, to collect large-scale question categorization data, this paper uses unsupervised methods that means SVM algorithm is mainly used in this system. Here the data is in the multiclass and multi-label classifier is used to classify them. This paper gets on a large multi-label data set with specific and individual queries from a specific category. In this paper, a comparison of different sophisticated text classifiers is viewed. This paper calculates the micro-F1 scores of top and leaf, which are considered to be a linear SVM-ensemble.
Joint Resource Allocation for Online and Offline Tasks in Data Centers

Nowadays an increasing number of online tasks and offline tasks from all industries are accommodated by the widely deployed data centers. These online tasks usually have strict Quality of Service (QoS) requirements and follow periodic load patterns. It is important to co-locate online tasks and the offline tasks that are not so sensitive to time delays to improve the resource utilization of data centers. Most existing solutions only focused on the resource management for online tasks, and ignored the features of offline tasks. In this paper, we establish the performance models for online tasks and offline tasks, respective-ly, and propose a virtual computing resource allocation scheme based on the dynamic resource sharing strategy. This scheme utilizes the time-varying characteristics of online workloads to maximize the utilization of the temporary available resource, while guaranteeing the QoS of delay-sensitive services. Thus the impact of hybrid deployment on the execution of offline tasks can be alleviated. The simulation results showed the effectiveness of the proposed scheme in guaranteeing the QoS and improving the resource utilization in data centers.
The effect of administrative leadership on the organizational performance in the case of the Ministry of Education in Jordan

This study aims at showing the influence of the administrative leadership on the organizational performance of the workers in the Ministry of Education Center in Jordan, which is one of the major successes in any organization. the administrative leadership contributes effectively in reaching the aims of the organization through effective performance which comes from the way any administrative leader treats his staff according to the nature of their task. also, the study investigates the effect of administrative leadership, involving the dimensions of administrative creativity and decision-making ability on organizational performance involving the dimensions of operation efficiency and satisfaction of employees, based on the perspectives of employees in the Ministry of Education Center in Jordan. 420 questionnaires were distributed amongst the study sample, of which 381 were returned and analyzed. This implies that 93% of the questionnaires account for the data generated in this study. Different statistical measures and tools were used to analyze the data. The results of the study showed that the leader has a great role in improving the performance of each worker in the ministry and there is an effect of administrative leadership (administration creativity and the ability to make decisions) on the organizational performance (operation efficiency and employees’ satisfaction) in the Ministry of Education Center in Jordan. Based on the results, recommendations are given by the researchers.
Decentralized finance

Research background: Its simplest form, decentralized finance is a system by which financial products become available on a public decentralized blockchain network, making them open to anyone to use, rather than going through middlemen like banks or brokerages. Unlike a bank or brokerage account, a government-issued ID, Social Security number, or proof of address are not necessary to use DeFi. Purpose of the article: The aim of the contribution is more specifically, DeFi refers to a system by which software written on blockchains makes it possible for buyers, sellers, lenders, and borrowers to interact peer to peer or with a strictly software-based middleman rather than a company or institution facilitating a transaction. Methods: Multiple technologies and protocols are used to achieve the goal of decentralization. For example, a decentralized system can consist of a mix of open-source technologies, blockchain, and proprietary software. Smart contracts that automate agreement terms between buyers and sellers or lenders and borrowers make these financial products possible. Regardless of the technology or platform used, DeFi systems are designed to remove intermediaries between transacting parties. Findings &amp; Value added: The article provides an overview of decentralized finance (DeFi) solutions that have already proved they are better alternatives to traditional finance. With DeFi, users can take advantage of lower transaction rates, higher interest rates or an opportunity to diversify investments.
The effect of cycling wheelchair on driving force with different seat position and posture

In this study, the driving force of a cycling wheelchair user is evaluated by multiple seat position. The cycling wheelchair is a device that combines both rehabilitation and mobility for people with lower limb disabilities. However, the cycling wheelchair has some structural problems. For example, the center of gravity is not optimized and the crank hinders the user from getting in and out of the wheelchair. Therefore, we focus on the position and posture of the seat to solve this problem. At first, we confirm the method of estimating the joint torque to be used for evaluation.Secondly, we design the seat position changing device and decide the experimental condition. Finally, we conduct the experiment that measure the joint torque of three participant under the experimal condition, and the results were discussed.
Schoolchildren don't want to be technopreneurs: a research of teenagers' awareness of the knowledgeintensive, technology business and its personalities

One of the pressing issues in the renewal of secondary education is the creation of a design of the school's project and research activities, which, in addition to the methodological concept, will be a source of certain ethical ideas andcultural guidelines. The primary task is to develop forms of organizing activities that allow us to consider the teenage project not only as a result of certain universal educational actions, but as a tool of technological change that can qualitatively improve the lives of various social groups. In this regard, such a cultural and social phenomenon as techno-entrepreneurship is relevant for research. Defined as the process of creating projects that combine joint efforts to interpret ambiguous data and joint understanding in order to maintain persistent, coordinated actions to achieve technological change, techno-entrepreneurship, in the understanding of the authors, can become a basic concept in the organization of project research activities in the school. The article presents the order of a study of the level of awareness of high school students about technology entrepreneurship and technology entrepreneurs. Based on data of questionnaires, conclusions are drawn regarding the sources of knowledge about the research’s concepts, the degree of actual and desired involvement of schoolchildren in technological entrepreneurship, as well as the competencies necessary, in the opinion of the respondents, for successful implementation in this area. The article also submit the results of testing the hypothesis that students are more familiar with the foreign experience of technology entrepreneurship and its personalities than with the domestic one.
MAMask: Multi‐feature aggregation instance segmentation with pyramid attention mechanism

Instance segmentation is a fundamental yet challenging vision task. Recently, many instance segmentation methods have attempted to use attention mechanisms to improve model efficiency. However, these methods still ignore the problem of information loss in lateral connection of Feature Pyramid Networks (the supplement operation of low-resolution, semantically strong features in FPN). The paper presents an effective detection-based approach named MAMask, which is closely tied to the one-stage method, Fully Convolutional One-Stage Object Detection (FCOS). In particular, it adopts the multi-feature aggregation decoder with pyramid integrate attention (PIA) to instance segmentation. The pyramid integrate attention block can prevent the loss of important channel information by learning richer multi-scale representation. Meanwhile, it also brings significant improvements in performance for existing FPN-based frameworks at slight additional computational costs. The proposed MAMask achieves 37.3% in box AP on the COCO dataset. The method outperforms a few recent methods without longer training time. Compared with the current typical algorithms, the proposed method has achieved excellent performance.
Effect Generation Based on Causal Reasoning

Causal reasoning aims to predict the future scenarios that may be caused by the observed actions.However, existing causal reasoning methods deal with causalities on the word level.In this paper, we propose a novel eventlevel causal reasoning method and demonstrate its use in the task of effect generation.In particular, we structuralize the observed causeeffect event pairs into an event causality network, which describes causality dependencies.Given an input cause sentence, a causal subgraph is retrieved from the event causality network and is encoded with the graph attention mechanism, in order to support better reasoning of the potential effects.The most probable effect event is then selected from the causal subgraph and is used as guidance to generate an effect sentence.Experiments show that our method generates more reasonable effect sentences than various well-designed competitors.
A Study on Using Machine Translation by Undergraduates at Different Proficiency Levels

This study examines the effectiveness of the ‘post-editing’ method adopted in undergraduate language classes, for non-interpretation and non-translation major specifically. Recent technological developments have led the translation applications being more accessible for users. It is becoming extremely difficult to ignore the existence of the translation apps in language learning. By using the apps, everyone could translate without high level language skill. Having said that, even the most advanced technology is not able to translate precisely without post-editing. This study analyzed Chinese-to-Korean translation works from 50 students at a University. 29 of them were beginner-level while the rest were intermediate-level. They were asked to translate parts of children’s picture books by editing the translation results from two most popular translation apps: Google Translate and Naver Papago. The most obvious finding to emerge from this study is that beginner-level students were more frequent to adopt translation contents without any editing. A possible explanation for this might be that beginner-level students felt difficulties in understanding the source text in Chinese. From their learning reflection, the most common words from the beginner-level students were ‘too much/overloading’ and ‘difficult’. In addition to the same term ‘difficult’, intermediate-level students emphasized on ‘naturally’ and ‘translating’.
Correctness of the transformation: transformation of ontology axioms in formal rules

In this paper, authors emphasise on the correctness of the transformation. Therefore, types of correctness are analysed here. As a context of transformation, the transformation of PAL constraints in SQL rules is chosen for more details. Formal rules for the transformation of PAL constraints in SQL rules are presented in this paper also. And finally, the analysis of the proposed transformation is checked.
Using Colour-based Object Detection for Pick and Place Applications

Pick and place tasks are one of the most typical applications in robotics.Conventional robots perform a fixed task which restricts the workspace in terms of flexibility.With development in mobile robotics [1] and automation it is necessary to introduce sensor systems that enable a more flexible approach.This paper demonstrates a computer vision system which uses a colour-based approach to object detection and estimation of its 3D world coordinates based on a 2D image.The system is used to enable a robot arm to pick up an object and place it on a CNC-mill.Based on the use case the vision system can tell the robot if an object has been detected and where it is relatively to the camera.Using the robot operating system (ROS) and OpenCv, image thresholding is performed for detecting the object.The Canny edge detection algorithm is deployed to mark the object with a bounding box.The retrieved information from those operations is used for the 3D pose estimation.Using a linear calibration, the error of the system can be reduced, which results in an accuracy of 0.09cm.
How to Effectively Integrate Socioemotional Learning and Innovation into Student-Driven Classroom Instruction

The rapid and continued global proliferation of internet usage and digital tools and technologies over the last 26 years since the introduction of the World Wide Web has been well documented. Equally well documented are ever-changing shifts in skills necessary for learning, working, and engaging in the world with new networks, digital tools, and technologies. Researchers and policymakers agree that deep learning experiences with digital texts and tools shape life options. Accordingly, supporting students’ development of what we refer to as digital literacies is critical for teachers, school leaders, community educators, and other educational stakeholders. However, many educational settings, including schools and community centers, do not have the necessary resources, including trained teachers and personnel and access to technologies and digital networks, to make digital literacies a central component of all instruction and learning. The lack of clear policies to guide teaching and learning, professional development, leadership, infrastructure building, and research is a key factor driving these disparities. Based on a review of research related to digital literacies, this policy brief identifies five action items related both to supporting the development of digital literacies through improving literacies instruction and increasing access to digital literacies for all learners.
Study on the Mechanism of Overcoming Steps Using the Slider Mechanism of a Handle-Type Electric Wheelchair

In these days, the number of users of handle type electric wheelchairs called senior car has increased. However, senior car has a limited range of mobility due to physical obstacles like steps. Further, a step cause psychological stress such as fear and anxiety to user. This study target on senior car motion surmounting step and the user. First, this study examines senior car motion surmounting step by impact force measurement experiment and estimates psychological stress of senior car user. Then, we propose mechanism for surmounting step include results of the experiment. The mechanism enables to provide time lags in the impact force. Finally, we measure the impact force using proposal mechanism and estimate less psychological stress.
Technical Architectures

This chapter will look at designing various constructs of blockchains and distributed ledgers in different use cases. After walking through an array of technological tools, the software architects, solution architects, and product design engineers have to generate architectures of blockchain elements either from scratch or on top of existing technology tools. This decision is usually based on the business requirements, technology choices, and developers’ skills.
Universal technology of language

This paper aims to demonstrate that in nature exist several fundamental mechanisms, which regulate the complexities.Such a regulatory process introduces two phases of complex systems evolution: the adaptability of undifferentiation and the efficiency of the differentiation that causes stability.The same two steps regulate neurogenesis by producing undifferentiation and differentiation.It transforms unstructured information into structured data.This paper discusses why the neurogenesis manifests distinctly in humans versus other animals and how this aspect makes an immense difference in achievement.Further on, I demonstrate that the mechanism above complexity participated in generating a language-ready brain in humans that serves as a mental blueprint and textbook that can assemble language and factual technologies.The language-ready brain developed in-depth the processing of linearity that is specific to all life forms.The language is initially processed in mental mapping as a complex nonlinear outcome.Further on, such nonlinear data can be naturally reduced to linearity by decreasing dimensionality.Every reduction causes loss of its initial variances that represents information.Every process of diversification produces a loss of the initial data.During most of the Paleolithic era, the brain used a prevalence of nonlinearly structured data (like olfactive, sensory, and emotional outcomes)-such type of data required nonlinear processing.The language development highlighted the linear transformation mechanism that also increased the diversification process, significantly extending the consciousness.Every consciousness is linear, but it became vastly developed in humans, paralleling the linear path of language and giving rise to linear technologies.
Feature Vectors

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an online resource, this textbook is an invaluable tool for the upper undergraduate and graduate student.
TYPES OF ELECTRONIC RESOURCES IN ELECTRONIC TEXTBOOK OF FIRST GRADE MATHEMATICS

Since 2015, educational reform has been implemented in Bulgaria. It was initiated with the entry into force of the new Preschool and School Education Act36. On the basis of this law, new curricula were adopted in all subjects, including elementary classes in mathematics. Mathematics kits for elementary classes, along with textbooks, study notebooks, a teacher’s book already include electronic readable textbooks and e-textbooks. “Electronic Readable Textbook” is an electronic product whose content is exactly the same as the content of the approved textbook created as a print edition37. The e-textbook is an electronic product that contains additional electronic resources to the individual development of lesson topics, such as tasks, exercises, tests and more. This educational content enables modern students, aged 7-10, to work with electronic resources independently or under the guidance of a teacher, to reflect and consolidate mathematical knowledge and skills, to develop their digital skills, to increase their interest in mathematics. Modern academic preparation for elementary teachers should also include such theoretical and practical knowledge, skills and competences for working with electronic textbooks and with the electronic resources in them. The purpose of my research is to make an analysis of the content included in the electronic textbook for mathematics for the first grade of the Anubis publishing brand of the publishing house KLETT – Bulgaria.38 On the basis of this analysis, methodological guidelines will be developed for working with the different types of electronic resources, which will become part of the academic preparation of the pedagogical students in the university discipline “Didactics of mathematics in elementary classes”. A survey of 166 pedagogical students in bachelor’s and master’s degree on their opinion on e-textbooks conducted this year has yielded interesting and revealing results that confirm the need for updating their academic training in the field of e-textbooks. The majority of respondents believe that primary teachers should use e-books in their work – 83%. When asked which subject is most appropriate to use e-textbooks, mathematics ranks immediately after the natural and social sciences, with 58.4% of the respondents citing it as the most appropriate subject for applying e-textbooks. At the same time, one third of respondents (33.1%) said they did not feel prepared to work with e-books. Of all those surveyed, 81.4% believe that it is necessary to include preparation for work with e-textbooks in university courses in private didactics. This gave me reason to head to the topic of this article and to make a content analysis of an electronic first grade mathematics textbook by classifying the types of additional electronic resources in it.