Reviewerly/exHarmony huggingface dataset:
The Relationship Between Emotional Intelligence And Student Achievement In Social Studies Subject Class IX SMP Negeri 10 Samarinda Academic Year 2021/2022

&#x0D; The purpose of this study was to determine the level of emotional intelligence and the level of student achievement, as well as to determine whether there is a significant relationship between emotional intelligence and student achievement in social studies subject class IX SMP Negeri 10 Samarinda in the academic year 2021/2022. Sampling in this study used a probability sampling technique with proportional random, namely 78 students from 326 students of class IX SMP Negeri 10 Samarinda. The type of research used is quantitative research with a correlational approach. In an effort to collect data (research instruments), the author uses a Likert scale, namely the emotional intelligence scale which refers to the 5 (five) elements of emotional intelligence and documentation of student report cards to determine the value of learning achievement. Testing the validity of items and elements on the emotional intelligence scale was carried out by expert validation. To find the correlation between the two research variables, Pearson's Poduct Moment correlation was used and the analysis used the computer-assisted SPSS 23 for Windows program. Based on the results of the study, it showed that there was a significant relationship between emotional intelligence and student achievement in class IX of SMP Negeri 10 Samarinda. From the results of the calculation analysis, the value of sig = 0.000 and rcount = 0.407 means that the value of sig 0.000 &lt; 0.05 and rcount is consulted with the rtable of product moment known to be at a significant level of 5% = 0.222, which means the value of rcount = 0.407 &gt; rtable = 0.222. Thus the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted.
Introduction

Introduction| December 01 2021 Introduction: Words from the Co-Founding Editors Jay Needham, MFA; Jay Needham, MFA Search for other works by this author on: This Site PubMed Google Scholar Phylis West Johnson, PhD Phylis West Johnson, PhD Search for other works by this author on: This Site PubMed Google Scholar Resonance (2021) 2 (4): 459–460. https://doi.org/10.1525/res.2021.2.4.459 Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Cite Icon Cite Search Site Citation Jay Needham, Phylis West Johnson; Introduction: Words from the Co-Founding Editors. Resonance 1 December 2021; 2 (4): 459–460. doi: https://doi.org/10.1525/res.2021.2.4.459 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentResonance Search In our continuing efforts to publish many of the new directions that emerge in our resonant field of sound, we are excited to present a series of inspired works that consider new approaches to the historical study of music and cybernetics. Proposed as a special series by writers and editors Christopher Haworth and Eric Drott, “Music and Cybernetics in Historical Perspective” is a diverse offering that represents path-breaking research in the field of musicology and sound studies. In his introduction to the special series, Haworth considers the scope of the scholarship in cybernetics over the past 30 years by observing:It is precisely the aspiration to universalism that makes musical cybernetics difficult to analyze. From experimental music to rave, musical social theory to psychology, jam bands to computer music, cybernetics can appear to be at once everywhere and nowhere—a situation that contributes to both its paradoxical imperceptibility and its capacity... You do not currently have access to this content.
Enhanced Local Receptive Fields based Extreme Learning Machine using Dominant Patterns Selection

The local receptive fields based ELM (ELM-LRF) is an extended version of ELM. Its hidden nodes are structure through the local connection approach, which demonstrated satisfactory performance in image classification problems. However, ELM-LRF still requires further improvement because extracting images features directly with random initial weights will generate redundancy features that may degrade its performance in some situations. This paper, therefore, presents a new method named the enhanced local receptive fields based ELM using dominant patterns selection (DP-ELM-LRF) to enhance ELM-LRF, which applies novel feature selection in vehicle detection through the selection of dominant patterns of HOGs (DPHOG) for selecting dominant features in the ELM feature space. DP-ELM-LRF evaluated classification performance on GTI and Concrete Crack datasets for binary classification and MNIST, Semeion, and small NORB datasets for multi-classification. Experiment results demonstrated that the DP-ELM-LRF was superior to the ELM-LRF and other comparative methods of multi-classification, whereas binary classification, DP-ELM-LRF, remains comparable with ELM-LRF.
ADR Brief

Alternatives to the High Cost of LitigationVolume 39, Issue 3 p. 50-51 ADR Brief ADR Brief Russ Bleemer, Russ BleemerSearch for more papers by this author Russ Bleemer, Russ BleemerSearch for more papers by this author First published: 02 March 2021 https://doi.org/10.1002/alt.21886Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume39, Issue3March 2021Pages 50-51 RelatedInformation
A Novel Framework using Zero Shot Learning Technique for Non-Factoid Question Answering System

Non-Factoid Question Answering (QA) is the next generation of textual QA systems, which gives passage level summaries for a natural language query, posted by the user. The main issue lies in the appropriateness of the generated summary. This paper proposes a framework for non-factoid QA system, which has three main components: (i) A deep neural network classifier, which produces sentence vector considering word correlation and context. (ii) Zero shot classifier that uses a multi-channel Convolutional Neural Network (CNN), to extract knowledge from multiple sources in the knowledge accumulator. This output acts as a knowledge enhancer that strengthens the passage level summary. (iii) Summary generator that uses Maximal Marginal Relevance (MMR) algorithm, which computes similarity among the query related answer and the sentences from zero shot classifier. This model is applied on the datasets WikiPassageQA and ANTIQUE. The experimental analysis shows that this model gives comparatively better results for WikiPassageQA dataset.
Insider Attack Scenario Assessment Framework

Abstract Cyber Manufacturing Systems (CMS) brings improvements to the manufacturing system and offers an information-transparent environment. Although CMS’s enhanced system brings many advantages to its manufacturing process, it is at a higher risk of security breach ironically due to its accessibility and connectivity. Therefore, implementing CMS without adequate security measures will make the system vulnerable to intruders including insiders. To identify insider threats, a risk assessment-based framework has been explored by many researchers in the information security community. however, less work has been done to analyze CMS’s vulnerabilities. Therefore, an Insider Attack Scenario Assessment Framework (IASAF) is proposed in this paper. IASAF is developed to detect the system’s security vulnerabilities and evaluate the insider attack scenarios by using five domains including: actor, preparation, implementation, consequence, and recovery. To validate and demonstrate the effectiveness of the framework, a testbed was used to study a case.
Choosing programming language in teaching in high school

There have been many research results and many criteria for choosing a programming language in teaching nowadays. This article reviews research related to the choice of programming languages in teaching programming in high schools, and then proposes the criteria for choosing a programming language with a teaching perspective in high schools, in the current period in Vietnam. Some survey results from trainers and teachers on the proposed criteria will also be presented in this article. Hopefully the article will contribute some information in choosing programming languages for IT teaching in high schools today, especially for grades 6 and 10, which are in a transition and standard stage being changed for the informatics teaching program according to the 2018 general education program.
Network Infrastructure

Networks, and the hardware and software infrastructures that make them up, are clearly going to be impacted by an organization’s move to Zero Trust. In fact, a large part of the strength and value that Zero Trust brings is its ability to enforce identity and context-aware policies at a network level, bridging these normally separate worlds. As a result, enterprise network infrastructure, operations, and potentially network topology will be affected by a shift to Zero Trust. Security and network architects need to be aware of this, and be able to plan for these changes. Few enterprises will be starting from a completely blank sheet of paper, and security architects planning for Zero Trust need to collaborate with their IT counterparts to understand their current environment. Existing infrastructure components must inform and influence an enterprise’s Zero Trust architecture and requirements while at the same time not imposing too many constraints. That is, networks and their teams, operations, and processes will be required to change as a result of adopting Zero Trust. These changes must be embraced, rather than fought. We know, this is easier said than done, and sometimes changes are more difficult culturally than technically.
Intelligent Detection Method of Spoken English Mispronunciation Based on Machine Learning

In oral English testing, to improve the intelligent detection ability of oral pronunciation errors, an intelligent detection method of oral English pronunciation errors based on machine learning is proposed. According to the specific design principles, a number of parallel processing instructions are established, and then the design and application of the machine learning algorithm are completed according to the recommendation matrix decomposition standard. On this basis, this paper analyzes the acoustic characteristics of oral English mispronunciation, defines four detection indexes: sentence-level TCPP, phoneme-level TCPP, word-level TMPP and phoneme-level TMPP, and completes the adaptive processing of the acoustic model. The example analysis results show that compared with the statistical pattern recognition strategy, the machine learning detection method has less difference between the recognition results and the correct phoneme pronunciation and can more accurately detect the wrong phonemes in the oral English test.
A Virtual Reality Laboratory Implementing Lean Manufacturing: Case Applied at Mechatronic Technical School

Abstract Nowadays information technologies have been essential for the advancement of teaching and professional development. The world has experienced a pandemic crisis based on a virus called Sars-cov 2, this changed the way of living and the way of learning, now we face the challenge of learning to distance, the virtual laboratory allows us to acquire knowledge and develop skills based on a series of practices that the student carries out, this integrates Lean Manufacturing tools in order to give added value to the client, and by effect reducing waste to the company, which is one of the characteristics most important in lean philosophy. The purpose of this work is to facilitate the scope of the topics giving students the use of a quality process into the virtual reality simulator that ensure the quality of knowledge transmission based on practices designed to learn mechatronics and lean manufacturing topics. A virtual reality application is used to simulate a physical laboratory, which consists of: Research, Development and Testing steps, using Unity and 3DMax software. The virtual laboratory for a distance modality in the mechatronics career was carried out at technical high school, and developed by students of the mechanical and electrical engineering faculty, and currently designed for 2 practices, one of them is based on a DMAIC cycle [1].
Descriptive evaluation and accuracy of a mobile app to assess fall risk in seniors: Retrospective Case Control Study (Preprint)

<sec> <title>BACKGROUND</title> Fall risk assessment is complex. Based on current scientific evidence, a multifactorial approach including the analysis of physical performance, gait parameters and both extrinsic and intrinsic risk factors is highly recommended. Using these determinants, a smartphone-based application was designed to assess the individual risk of falling with a score that combines multiple fall risk factors into one comprehensive metric. </sec> <sec> <title>OBJECTIVE</title> This study provides a descriptive evaluation of the designed fall risk score as well as an analysis of its discriminative ability based on real-world data. </sec> <sec> <title>METHODS</title> Anonymous data from 242 seniors was analyzed retrospectively. Data was collected between June 2018 and May 2019 using the fall risk assessment app. First, we provide a descriptive statistical analysis of the underlying dataset. Subsequently, multiple learning models (Logistic Regression, Gaussian Naive Bayes, Gradient Boosting, Support Vector Classification and Random Forest Regression) are trained on the dataset to obtain optimal decision boundaries. The receiver operating curve with its corresponding area under the curve (AUC) and sensitivity were the primary performance metrics utilized to assess the fall risk score’s ability to discriminate fallers from non-fallers. For the sake of completeness, specificity, precision and overall accuracy were provided for each model as well. </sec> <sec> <title>RESULTS</title> Out of 242 participants with a mean age of 84.6 ± 6.7 years, 139 (57.4%) reported no previous falls (non-faller), while 103 (42.5%) reported a previous fall (faller). The average fall risk was 29.5 ± 12.4 points. The performance metrics for the Logistic Regression Model were AUC = 0.9; Sensitivity = 100%; Specificity = 52%; Accuracy = 73%. The performance metrics for the Gaussian Naive Bayes Model were AUC = 0.9; Sensitivity = 100%; Specificity = 52%; Accuracy = 73%. The performance metrics for the Gradient Boosting Model were AUC = 0.85; Sensitivity = 88%; Specificity = 62%; Accuracy = 73%. The performance metrics for the Support Vector Classification Model are AUC = 0.84; Sensitivity = 88%; Specificity = 67%; Accuracy = 76%. The performance metrics for the Random Forest Model were AUC = 0.84; Sensitivity = 88%; Specificity = 57%; Accuracy = 70%. </sec> <sec> <title>CONCLUSIONS</title> Descriptive statistics for the dataset were provided as comparison and reference values. The fall risk score exhibited a high discriminative ability to distinguish fallers from non-fallers, irrespective of the learning model evaluated. The models had an average AUC of 0.86, an average sensitivity of 93% and an average specificity of 58%. Average overall accuracy was 73%. Hence, the fall risk app has the potential to support caretakers in easily conducting a valid fall risk assessment. The fall risk score’s prospective accuracy will be further validated in a prospective trial. </sec>
Application of Education Information Technology in Electronic Information Professional English Course

For the problems existing in the traditional electronic information professional English course, this paper proposes to apply educational information technology to electronic information professional English courses. The purpose is to improve the interest of vocational students in learning professional English by changing traditional teaching methods and optimizing teaching content, so that the whole classroom can be active. Experiments show that the teaching method has achieved good teaching results.
Branching Statements

When writing functions, it is very common to want certain parts of the function body to be executed only under certain conditions. For example, if the input argument is odd, you may want the function to perform one operation on it, and another if the input argument is even. This effect can be achieved in Python using branching statements (i.e., the execution of the function branches under certain conditions); this is the topic of this chapter. By the end of this chapter, you should be able to program branching statements into your functions and scripts, which will substantially increase the functionality of your functions and scripts.
Being and self-development of a personality in social and cultural space

The article is devoted to the philosophical study of personal life as a process of constant formation, development and improvement of the personality during which its qualities, properties and functions related to the physical, social and spiritual aspects have been formed. The emphasis has been made on the differences in the interpretation of the characteristics of personal life and its dynamics in various socially-cultural and historical contexts — from antiquity to the present. Such aspects of personality formation in the space of society and culture as personal self-awareness, freedom and creativity have been analyzed. It has been concluded that personality is a sociocultural construct the development of which is determined by both biological and sociocultural factors.
Basic principles of developing spiritual and moral outlook in students

The article deals with the theoretical and practical aspects of the patterns of development of the spiritual and moral worldview of youth and discusses approaches to its improvement. The reasons and problems of the formation of the worldview of modern society. Basic characteristics of the spirituality and morality of the individual, the definitions of “moral norms”, “moral ideals”, “moral principles” are given.
Use of games and game forms of organization of learning activities

The article deals with the problems of using games and game forms of organizing educational activities. Play activity at the creative level is an introduction to the well-known and familiar play of new elements: an additional rule, a new external circumstance, another task with a creative component, or other conditions. The main requirement for the choice of a new element is the emergence after its introduction of a situation, the ways out of which in the classroom have not yet been studied. For example, after solving tasks presented in a playful form, students can be asked to depict graphically or in the form of a picture the conditions of the tasks themselves or the ways of solving them.
Towards an Assistance and Simulation Augmented Reality Environment for the Manufacturing Area

Abstract The present work was carried in a manufacturing context, using augmented reality as the main tool. The main goal is to explore the capabilities of augmented reality used in manufacturing environments through connectivity and a digital shadow. Novel features implemented include control, interactions, and display of information not only of machines but any element connected to the industrial IoT. These features are addressed by the implementation of infrastructure prepared to communicate with different kinds of protocols. Additionally, a discrete event simulation of the manufacturing cell is created through specific software and connected with its 3D model to visualize the process and relevant information in AR. With this implementation, it is possible to establish a communication environment between machines, robots, and any element connected to the network. Also, this concept enables the visualization, control, interaction, and sending/receiving information of processes in real-time. Then, any person can see process information anywhere and interact within the AR model using a capable device. Therefore, AR applied in combination with other I4.0 tools allows to have high-level intelligent processes and increase operator’s abilities in manufacturing environments. The application of the proposed concept into modern manufacturing facilities was discussed and reviewed.
Assessment effects of factors on visitor satisfaction in Binh Dinh through linear regression model

This article presents the results of assessment and analysis of the influence of 6 factors: Tourism resources, infrastructure, transportation, accommodation facilities, service prices, and guiders to tourist satisfaction in Binh Dinh province. The study surveyed the satisfaction level of 209 visitors in Binh Dinh from April 2021 to May 2021, analyzing based on exploratory factor analysis (EFA) and building a linear regression model. The article is the scientific basis for proposing policies to enhance visitor satisfaction and increase the position of tourism in Binh Dinh province.
Blur Invariant Block-Based CMFD System Using FWHT Features

In this chapter, an improved system for copy-move forgery detection in digital images is proposed, which is based on the Fast Walsh Hadamard Transform (FWHT). Initially, the forged image is partitioned into fixed size overlapping blocks. Then FWHT features are extracted from each overlapping block. The block feature vectors are sorted, and consecutive blocks are compared for matching using shift vector mechanism, and duplicate regions of the image are located by coloring the corresponding matched blocks of the forged image. From the literature, it is clear that in the last few years, copy-move forgery detection has become a leading research topic in the field of image forensics. Some important related papers are enlisted as follows.
ICT based best practices in the medical college libraries

Data and correspondence innovations (ICTs) are a different arrangement of mechanical devices and assets — utilized for making, putting away, overseeing and conveying data. For instructive purposes, ICTs can be utilized to help educating and learning just as exploration exercises including cooperative learning and inquisitive. One of the fundamental utilizations of the ICTs in advanced education is instructing and learning dependent on these new advances. The advancement of ICT has changed the conventional ideas of libraries, changed the idea of assortments and the necessities of clients. The structure of ICT incorporates PCs (Hardware and Software), Internet, Wireless innovation, Radio Frequency Identification (RFID) and utilization of different library assets in ICT for example digital books, E-diary, Library organization, Web OPACs, According to their requirements client can get to wide assortment of, for example, data assets text, sound, picture, Video and so forth. This paper includes traditional best practices, information technology based best practices like web page, institutional repositories, e-mail alerting services, extension services and general best practices also.