Reviewerly/exHarmony huggingface dataset:
Linguistic Variation across Pakistani Book Blurbs on Four Textual Dimensions: : A New Multidimensional Analysis

Language of book blurbs has been extensively studied as a distinct register in recent times. This study aims at exploring the patterns of linguistic variability in a corpus of Pakistani book blurbs on new textual dimensions identified as a result of employing new factor analysis. A standardized corpus of Pakistani book blurbs was built by using online and print sources. The corpus, comprised 1311 book blurb texts, was categorized with respect to three independent situational variables: Publisher location, Publication medium and Literary source. Data were compared on four dimensions of New MD analysis, generated as a result of applying new factor solution matrix on the whole blurb data. The four new dimensions identified were as follows: 1) Abstract Informational Description versus Concrete Human Focus; 2) Interactive Stance versus Formal Reportage of Facts; 3) Informational Density versus Elaborated Expression; and 4) Expression of Personal Stance and Judgment. The results revealed that the language of Pakistani book blurb register considerably varied across its categories. Of the three variables, literary source was found to be the most potential source of variation as it accounted for maximum shared variance of the whole blurb data. The study provides an important insight into the nature of linguistic variation across different categories of Pakistani book blurbs on new textual dimensions.
The philosophy of silence in the context of a stage action

The article analyzes the nature of non-verbal human behavior. It reveals the non-verbal toolkit of the actor, its advantages over the verbal one and the main characteristics, i.e. organicity, staginess, informative richness and influence on the viewer. The antiscientific nature of the concept of verbal action and its destructive role in the organic process of the birth of a word are revealed. The study reveals the leading role of directing in the creation of the non-verbal text of the show. It determines the role of stage "silence" as the most informative and influential actor and director's tool for revealing the deep meanings of human characters, events and phenomena in the process of creating performances. The article emphasizes that it is the zones of silence, pauses, mise-en-scènes, the actor's psychophysical and director's staging constructions, and not literary texts, that broadcast the innermost meanings of spectacles, reveal the labyrinths of thoughts, intentions and feelings of the characters hidden behind dramatic texts, appealing to the imagination, fantasy and intuition of the viewer. The main types and varieties of stage pauses and zones of silence are summarized. The main provisions of the research are illustrated with non-verbal static and dynamic episodes from films and from works of theatrical art.
지르코니아의 거칠기 증가를 위한 다양한 표면처리방법이 레진 시멘트와의 전단결합강도에 미치는 영향

Purpose: The purpose of this study was to evaluate the effects of various zirconia surface treatment methods on shear bond strength with resin cements. Methods: We prepared 120 cylindrical zirconia specimens (⌀10 mm×10 mm) using computer- aided design/computer-aided manufacturing (CAD/CAM). Each specimen was randomly subjected to one of four surface treatment conditions: (1) no treatment (control), (2) airborne-particle abrasion with 50 μm of Al2O3 (A50), (3) airborne-particle abrasion with 125 μm of Al2O3 (A125), and (4) ZrO2 slurry (ZA). Using a polytetrafluoroethylene mold (⌀6 mm×3 mm), we applied three resin cements (Panavia F 2.0, Super-Bond CB however, no significant difference was observed between A50 and A125, A125 and ZA, and ZA and control (p>0.05). Among the resin cements, Super-Bond C&B showed the highest shear bond strength, followed by Panavia F 2.0 and Variolink N (p<0.05). Conclusion: Within the limitations of this study, application of airborne-particle abrasion and ZrO2 slurry improved the shear bond strength of resin cement on zirconia.
AUGVIC: Exploiting BiText Vicinity for Low-Resource NMT

The success of Neural Machine Translation (NMT) largely depends on the availability of large bitext training corpora. Due to the lack of such large corpora in low-resource language pairs, NMT systems often exhibit poor performance. Extra relevant monolingual data often helps, but acquiring it could be quite expensive, especially for low-resource languages. Moreover, domain mismatch between bitext (train/test) and monolingual data might degrade the performance. To alleviate such issues, we propose AUGVIC, a novel data augmentation framework for low-resource NMT which exploits the vicinal samples of the given bitext without using any extra monolingual data explicitly. It can diversify the in-domain bitext data with finer level control. Through extensive experiments on four low-resource language pairs comprising data from different domains, we have shown that our method is comparable to the traditional back-translation that uses extra in-domain monolingual data. When we combine the synthetic parallel data generated from AUGVIC with the ones from the extra monolingual data, we achieve further improvements. We show that AUGVIC helps to attenuate the discrepancies between relevant and distant-domain monolingual data in traditional back-translation. To understand the contributions of different components of AUGVIC, we perform an in-depth framework analysis.
The Current State of the Global Movement

The concept specific to blockchain is its capacity to process transactions and contracts by recording states of rights and values under a decentralized model without a trusted operator. However, the technology, governance, and operational framework of blockchain are not mature enough; then we need global collaboration by multi-stakeholders. In this chapter, we describe the current status of global activities to make the blockchain ecosystem mature enough.
THE APPLICATION MODE OF ATHLETES IN THE CALCULATION OF CLOUD MOTION CAPTURE TECHNOLOGY IN FOOTBALL

ABSTRACT Motion capture is a common problem in sports. It is mainly used to measure and capture running distance in football matches. Use of cloud computing motion capture algorithm in football running distance test, for lack of cloud computing algorithm using motion capture in the application. Data are obtained by experiment to verify the effectiveness and feasibility of the improved cloud computing motion capture algorithm in running distance in football. The final conclusion is that, compared with the original cloud computing motion capture algorithm, the optimized cloud computing motion capture algorithm can significantly reduce the number of cycles in the test of football running distance.
Smart-textronics Product Development Process by Systematic Participatory Design Method

Smart-textronics technology which enables functional textiles has recently been applied in various fields such as smart clothes, smart home and smart health care, and a variety of smart-textronics products have been developed. In this context, the smart-textronics product development process is proposed based on the systematic participatory design method in this paper. The proposed method consists of two phases: in-depth interviews and analyzing. In the phase of in-depth interviews, participants are asked to create journey maps that include activities, pain points and emotional status and to generate solution ideas with sketches and simple prototypes. In the analyzing phase, design researchers investigate the participants’ journey maps, and create personas by identifying critical characteristics with the behavior pattern analysis. Then, each persona’s needs are linked with value elements of the E3 value framework. Finally, pre-survey was conducted to identify smart-textronics market and a smart sofa design is proceeded as the case study to show the applicability of the proposed method.
Prototype Expert System Application to Identify Specific Children Learning Disabilities in Inclusion Schools

This study aims to develop an expert system application for the identification of specific children learning disabilities in Inclusion School. The research method used is development research design (R &amp; D) to test the effectiveness of the use of identification of specific children learning disabilities with expert system application. Application testing involving 40 teachers in inclusion schools to test expert system applications in identification. Validate results by teachers in inclusion schools obtained that from aspects of system display, user, accuracy, and system responsibility have an average of 4.20 fall into the category of excellent. Expert system application development has several features, among others; home menu, analysis, and intervention to follow up learning services, learning media, and classroom embedding for specific children learning disabilities.
Needs And Factors For Developing Professional And Creative Abilities Of Students Of Higher Educational Institutions

This article focuses on the need and conditions for the development of professional and creative abilities of students of higher education institutions, as well as the necessary conditions for modern effective development and, in this process, the opportunities for students of higher education institutions. It is also important to create opportunities for quality education in the system of higher education in accordance with international best practices and the development of professional and creative abilities in accordance with the modern requirements of society, to strengthen the material and technical base of higher education institutions and to provide funding for education. - Implementation of consistent reforms in the implementation of measures. At the same time, the current state of development of professional and creative abilities of students of higher education institutions is a necessary condition for the creation of mechanisms for the rapid elimination of systemic problems and shortcomings in their work and the reduction of differences in the quality of education.
A System of Visualizing Business Chart Using Text Mining Techniques

The selection of business charts based on data attributes and the purpose of visualization is an important consideration in improving accessibility of data interpretation and decision-making. However, the data visualization tools currently in usage are limited to the provision of numerous charts, and the selection of semantical-sensitive charts still falls back on personal experience and subjectivity. Therefore, the purpose of this study is to recommend proposed methods for improving the accuracy and efficiency of business charts in data usage by developing rules in accordance with data attributes and the purpose of visualization without specific knowledge required on the usage of business charts. For achieving the purpose, the definition and use cases of business charts were collected through web crawling, and keywords characterized each business chart were extracted through TF -IDF analysis. Subsequently, keywords matrix was created according to the associations of these extracted keywords with each business chart and used as recommendation rules.
Peculiarities of the use of information and communication technologies in the teaching of special subjects in higher education

This article is an analysis of the introduction and use of information and communication technologies in the disciplines of higher education, increase the effectiveness of education, increase students’ knowledge and skills through the use of modern information and communication technologies in the training of designers, issues of interest in the learning process and the development of skills to apply their knowledge in practice are discussed. The focus is on developing appropriate strategies for the new educational role and in addition, the need to increase the role of students in the introduction of information and communication technologies in the educational process. The role and perspectives of teachers are very important and they are highlighted as key participants in the process. The results of the study show that the use of information and communication technologies in the educational process helps to increase the effectiveness of education and the organization of the educational process. In particular, it shows that the contribution of information and communication technologies to the improvement of the educational process in educational institutions, where information and communication technologies are an innovative factor. Achieving this high level means that the educational institution must not only modernize the technological tools, but also change the teaching models.
E-LEARNING OF AUDITING UNDER THE CORONA PANDEMIC AND ITS COMPATIBILITY WITH INTERNATIONAL EDUCATION STANDARD NO 8 (IES8) RELATED TO AUDITOR COMPETENCY REQUIREMENTS

The world is witnessing great evolutions via information technology which interfaces with life partitions and since education is one of the most important life actors therefor must exploiting the information technology in education procedures. Accounting is one of the most important sciences taught at universities, E-accounting education has emerged to serve the learning process and achieve its goals. The accounting education has criteria that discipline the educational process and achieve high quality for the educational process as well as preparing a new generation qualified technically and scientifically which complies with the requirements of the accounting and auditing profession. Thus, due to the adoption of e-education at Iraqi universities for the covid -19 pandemic conditions, this research examines how successful e-learning in covering accounting auditing curriculum and determine its compliance with the international educational standard (IES8) related to auditor competency requirements and determining the extent of students’ acceptance to this new educational approach. The research found a great match between accounting audit contents given to students electronically and the requirements of international education standards (IES8). Students prefer e-auditing education because of its flexibility, breaking the routine of the educational process, and breaking the barriers of fear and shyness for some students during the study time intervals.
중국문학사 서술 비교(1) - 『春秋左氏傳』 관련 서술을 중심으로

The aim of this paper is to compare five different editions of Chinese Literary History with in terms of their treatment of Zuo Zhuan(左傳). This paper adopts as its method of comparison that of description in the original texts, one based on the distinction between 記 事(jishi, record of events and actions) and 記言 (jiyan, record of words). To be specific, this paper examines the selected five editions proceeding first from classifying jishi into “technique of description”, “treatment of warfare” and “characterization”, then moving onto examining jiyan. The intent of this paper does not lie in finding out similarities and differences in terms of writing literary history; rather, it is in identifying standardized manner of writing literary history and thereby determining a set of passages from Zuo Zhuan suitable for fruitful comparative analysis. Ultimately, I hope such endeavor would contribute to a greater understanding of the way in which Chinese Literature is handled within and without Korea. I start with clarifying the way these editions characterize Zuo Zhuan in general and the passages they select as representative. I then reassess my initial findings from the point of contemporary perspectives and in consideration of regional and national elements. Lastly, even if there are no explanations written directly in the five writings of literary history, I tried to open the possibility of access from a new perspective by suggesting several stories on my perspective that require new emphasis or active interpretation from the current perspective. But, it did not point out the influence of Zuo Zhuan on later narrative literature, so it is difficult to deny the one-sidedness of the discussions presented in this paper. By focusing on the narrative of literary history published in recent years, the field of view was limited. These problems should be reinforced through further and wider work.
Efficient Automatic Segmentation of Multi-Domain Imagery Using Ensemble Feature-Segmenter Pairs with Machine Learning

Automatic image segmentation refers to a field of study wherein images are analysed using complex colour, texture and shape-based features to decide the best possible segmentation configuration. These configurations differ in terms of algorithmic constants, image size, enhancement factors, edge thresholds, etc. To determine these constants, automatic segmentation algorithms use bio-inspired techniques like Genetic Algorithm (GA), particle swarm optimization (PSO), etc. These algorithms require re-training and re-evaluation whenever the input image type is changed. For instance, different set of edge thresholds are needed for medical resonance imagery (MRI) & natural images. Due to which a single algorithm is not applicable to solve the problem of multi-domain automatic image segmentation. To remove this drawback, this text proposes a novel ensemble-learning-based algorithm which uses feature-segmenter pairs for effective segmentation. The proposed approach is compared with existing state-of-the-art algorithms, and is found to have better peak-signal-to-noise ratio (PSNR) and moderate delay. The PSNR is improved by 10%, while keeping an optimum probabilistic random index (PRI) and delay performance.
LibGuides: Go Open: a beginner's guide to open education: Open licence vs the public domain

A guide to engaging with open education practices in your teaching, research and support activities
Ballistic and Corrective Movements of Drag on Touch Screens

As the touch screen as an input interface, its accurate, efficient, and comfortable operation is an important aspect of user interface (UI) design. Because the finger assumes the role of a pointing device in operating the touch screen, the kinetic characteristics of the finger have a direct impact on the touch screen’s usability. Therefore, in addition to the evaluation of efficiency, it is necessary to analyze the kinetic characteristics of the finger during the operation process and reflect them in the UI design. This study aimed to obtain the basic knowledge regarding the finger’s ballistic and corrective movements through motion analysis based on the peak velocity of drag on touch screens. We conducted an experiment in which an object displayed on the screen was dragged to a target position using a finger. The object and target were designed in a 20-mm square to ensure usability and that they are not completely covered by the participants’ fingers. The drag direction and distance were adopted as experimental factors. Ten subjects participated in this study; their average age was 23.6 years. The drag directions were upward, downward, left, and right. The drag distances were 30 mm, 50 mm, 80 mm, and 120 mm. Each trial was performed 10 times; hence the total number of trials was 140. As for the motion component, it was assumed that the period from the start of a movement to the time when the peak velocity first appeared (TPV) was “ballistic phase,” and the period after that was “corrective phase.” Then, the percentage of TPV to the entire movement time was calculated and used as an evaluation index to investigate the temporal characteristics of the motion component during drag. The results showed that the finger movement for drag corresponded well with the performance model based on Fitts’ law [1, 2]. The peak velocity of dragging was almost linearly related to the distance to the target and was high-er in the horizontal direction than in the vertical direction. As the corrective movement for positioning at the target accounted for more than half of the drag movement, operation support for the corrective movement may improve usability.
FAIR, Open and Free does not mean no restrictions

&amp;lt;p&amp;gt;FAIR, open and free are rarely user correctly to describe access to assets.&amp;amp;#160; In fact, assets - expected to be or described as FAIR, open and free - are subject to many restrictions.&amp;amp;#160; The major ones are:&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(1) Security: to protect the asset from unavailability and any process from corruption, related to curation.&amp;amp;#160; Security breaches may be criminal.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(2) Privacy: to protect any personal data within or about the asset. The General Data Protection Legislation is highly relevant here and severe punishments are available.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(3) Rights and licences: the asset may be subject to claimed rights (such as copright or database right or even patenting) and also to licensing which may be more or less restrictive;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(4) Authorisation: within an Authentication, Authorisation, Accounting Infrastructure (AAAI), authorisation of authenticated user access in a given user role (owner, manager...) to assets in appropriate modes (read, update...) possibly within a certain time period and subject to asset licensing is only permitted;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;(5) Terms and Conditions: the system controlling the assets may have associated terms and conditions of use including - but not restricted to - liability, user behaviour, use of cookies.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In EPOS we are drawing together all these aspects into an integrated policy-driven set of mechanisms in the system including rich metadata, policy and licence documents, informed consent at the user interface and an AAAI system based on the recommendaions of AARC (https://aarc-project.eu/ ).&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
An Approach for data confidentiality and Logical data Security on data release by Multidimensional K-Anonymity Model

In our daily routine life there is huge and significant increase in frequently collection of data having different varieties and it growing in huge quantity sometimes we need to share this information and Sharing this huge information is very useful for researchers, Marketing peoples and for business use as this sheared information might be useful to invent new things or to earn money but, Publishing the data may put person privacy on stake and protection of users privacy is a challenging task during micro data release, here we recommend a method which protects users privacy by applying Multidimensional K-Anonymity Method there are to methods single and multidimensional in multidimensional we need to identify level of K-Anonymity and apply Generalization and Suppression methods for users data privacy protection. Also we identify values of k , CAvg,CDM as Quality measures and plot the values of growing value of K to prove that Nearest Neighbor is effective technique for achieving data confidentiality and logical data security on data release.
Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner

In deep learning-based object detection on remote sensing domain, nuisance factors, which affect observed variables while not affecting predictor variables, often matters because they cause domain changes. Previously, nuisance disentangled feature transformation (NDFT) was proposed to build domain-invariant feature extractor with with knowledge of nuisance factors. However, NDFT requires enormous time in a training phase, so it has been impractical. In this paper, we introduce our proposed method, A-NDFT, which is an improvement to NDFT. A-NDFT utilizes two acceleration techniques, feature replay and slow learner. Consequently, on a large-scale UAVDT benchmark, it is shown that our framework can reduce the training time of NDFT from 31 hours to 3 hours while still maintaining the performance. The code will be made publicly available online.