Reviewerly/exHarmony huggingface dataset:
E-Teach : Mobile Application Teaching Administrative System Using Near Field CommunicationN (NFC)

Teaching administration is a teacher's needs that are recorded or recorded into files stored by the school curriculum section. Teaching administration is in the form of lesson plans per semester made by the teacher to be applied based on the planned subject matter. Archiving of learning outcomes data and teaching materials is often ignored so that teachers do not provide subject matter according to the study plan and evaluation of learning outcomes is not satisfactory. In addition, the teacher administration file is a need for school accreditation which is a benchmark for the education office's assessment, which is a serious concern for schools in making reports in their work units. To reduce administrative errors, loss of data and the effectiveness of teaching services and assist teachers in managing lesson plans and evaluating learning outcomes, a tool that is able to provide solutions is needed. Near Field Communication, abbreviated as NFC, is a development tool for Bluetooth and RFID. NFC allows the phone to store important data securely and sent to other phones equipped with NFC or read by an NFC reader. In addition, this NFC allows mobile phones to be developed for the administration of school payments as well as giving class schedules to students. In this study, a teaching administration system based on Near Field Communication (NFC) has been developed using the Raspberry Pi as a microcontroller as well as a computer capable of applying web-based programs. Electronic teaching administration with NFC is expected to replace conventional teaching administration. The advantages of NFC-based E-Teach are that it takes a short time to use, does not depend on internet access and is easy in delivering teacher administration to those in need. Study plan data processing and evaluation of student learning outcomes are faster, more accurate and integrated with the management of education providers.
Asymmetric Extractions For Correction Of Severe Crowding And Narrow Buccal Corridor Space (A Case Report)

This case report is of a 19 year old female patient who presented with forwardly placed and crowded upper and lower front teeth with an unaesthetic facial profile and a non-consonant smile arc .This case was corrected non surgically merely by employing simple mechanics with the help of Fixed Orthodontic Mechanotherapy by extracting the maxillary 1 st premolars and mandibular right 1 st premolar followed by retraction and closure of spaces with the help of "Omega loops" bilaterally in the maxillary arch and on the right side in the mandibular arch.3 premolar extractions were sufficient for proper finishing of this case.The case ended in a Class II Molar and Class I canine relationship.The case report emphasizes on the efficient space closure with the help of loops, thus minimizing friction which is a common problem during routine fixed orthodontic treatment and retraction with the help of Elastomeric chain that increases friction between the wire and bracket slot.Following fixed orthodontic treatment, marked improvement in patient's smile, facial profile and lip competence were achieved and there was a remarkable increase in the patient's confidence and quality of life.The profile changes and treatment results were demonstrated with proper case selection and good patient cooperation with fixed appliance therapy.The patient was extremely satisfied with the results and there was significant improvement in the unaesthetic narrow appearing buccal corridor space at the end of the treatment.
Aplikasi Media Pembelajarangames Edukasi Berbasis Android (Kasus Kelas 1 SDN 546 Sinangkala)

This study aims to design and build an Android-based educational media application for educational games. The research method used is a qualitative method using data collection techniques from observations, interviews, and literature searches. Learning media application It was developed using the waterfall system development methodology. The software used to design and implement the system uses Adobe Flash Professional CS6 as the system design. Educational Game Learning Media Applications It contains quiz and game material. The application that has been built has been tested on users so that it is obtained an application that runs well
AN E-TUTOR TOOL FOR GRAMMATICAL ERROR CORRECTION

Intelligent language learning tools have evolved into an inevitable aid for ESL/EFL (English as second or foreign language) learners to improve their linguistic skills.By functioning as a machine translation task, automatic grammatical error correction (GEC) has made significant progress with the help of deep neural networks, but its accuracy and coverage rates on different error types have not been fully satisfactory in practice.This paper designs an e-Tutor tool for GEC to help ESL/EFL learners automatically inspect and correct their grammatical errors in writing.One of the core research tasks in GEC is how to improve its generalizability while dealing with more complex error types.In the paper, we propose a novel data augmentation method to add artificial noise to native English corpora during training a neural translation model for GEC.To improve the output quality of GEC, we also design a re-editing module, which mainly consists of a statistical language model, along with a grammatical error detection classifier, in validating each sentence generated by GEC.Experiment results on GEC show that our e-Tutor tool can achieve state-of-the-art performance on the CoNLL-2014 dataset.
Handbook of Multiple Comparisons

Journal of the Royal Statistical Society: Series A (Statistics in Society)Early View BOOK REVIEW Handbook of Multiple Comparisons Edited by Cui, Xinping, Dickhaus, Thorsten, Ding, Ying, Hsu, Jason C., 2021 Price: $250, Pages: 418, ISBN: 9780367140670 Amit K. Chowdhry, Amit K. Chowdhry Amit_Chowdhry@urmc.rochester.edu University of Rochester, Rochester, USASearch for more papers by this author Amit K. Chowdhry, Amit K. Chowdhry Amit_Chowdhry@urmc.rochester.edu University of Rochester, Rochester, USASearch for more papers by this author First published: 15 February 2022 https://doi.org/10.1111/rssa.12830Read 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. Early ViewOnline Version of Record before inclusion in an issue RelatedInformation
High school students’ perceptions of emergency remote teaching in Serbia during the COVID-19 pandemic

Following the declaration of the state of emergency in Serbia, after the novel COVID-19 outbreak was declared a global pandemic, all the educational institutions in the country were closed, and the different modes of emergency remote teaching (ЕRТ) were introduced. In order to highlight the problems and attitudes of students, in regard to the newly introduced online-based emergency remote teaching model, we conducted a survey with high school students. The research question was how the unplanned switch from the traditional learning setting to online learning affected the learning practice, and what the outcomes of the integration of digital technology in education are. The aim of the study was to determine the best advantages and the biggest disadvantages of the introduced emergency remote teaching model, from the students’ point of view, during the initial phase of the teaching model implementation. The obtained results indicated the best advantages of the applied learning model in the domain of learning time management opportunities, and the biggest disadvantages in relation to the teaching and learning technical support problems and social distance. The results of this study could be used by policymakers and practitioners in order to prepare plans and programs for emergency remote teaching, and also to improve traditional teaching models.
Querying scheme of tobacco traceability information based on double-blockchain structure

In this paper, a double-blockchain structure based on “public blockchain + consortium blockchain” was proposed for the information querying of tobacco traceability system. The public blockchain adopts Ethereum platform, which can not only ensure the openness of data but also ensure data security. The consortium blockchain adopts Hyperledger Fabric platform, and only internal organizations of tobacco companies participate in setting certain permissions for tobacco companies. In addition, we also improve the consensus mechanism of the consortium blockchain and add management node to ensure the security of the consortium blockchain. The double-blockchain structure proposed in this paper can not only improve the security of querying tobacco traceability information but also not affect the efficiency of querying.
Applications of Artificial Neural Networks to Solve Ordinary Differential Equations

Abstract: Applications of Neural Networks to numerical problems have gained increasing interest. Solving Ordinary Differential Equations can be realized with simple artificial neural network architectures. In this paper, first step is training a Neural Network to satisfy the condition required by a differential equation and then finding a function whose derivative satisfies the Ordinary Differential Equation condition. The method of solving differential equation is implemented in Python Programming using the TensorFlow library. Keywords: Neural Network, Differential Equation, Loss function, Train function, Mean Squared Error, TensorFlow.
Fenomen Annelerin Fenomen Pazarlaması Kapsamında Yaptıkları Paylaşımlar Üzerine Bir İçerik Analizi

All areas of life have been started to keep in step with developments according to improvements of djitilization. One of the areas which develop according to dijitilization is marketing. Marketers find out different things with the process of traditional methods to dijital world and marketing techniques have been began to reformulate. In this context, relationships of marketers and consumers transmit to other size. Social media tools like Facebook, Twitter, Youtube and Instagram are used as a new marketing tool. Influencer marketing has been developed in compliance with these new social media platforms. Purpose: The purpose of study to take hand Instagram accounts of influencer moms deeply with regard to their sharings about products and brands. Methodology: Accounts of ınfluencer moms was investigated according to their follower numbers and their sharings was analyzed with formalized ten categories through content analysis. Findings: Numbers of followers of these mothers accounts’ are higher and their sharings were evaluated dissimilarities and similarities according to sharing numbers, intensity, sharing times of contents, comments about sharings, and which things take place in sharing contents Orijinality: Particularly, Instagram,has came into prominence as a social media tool in recent years. Many people who try to become influencer and cooperate with brands. They manipulate their followers to buy brands. They are like a bridge between brands and consumer groups.In this context, it is needed researchers about influencer marketing.This study provide contribution about influencer moms who are effecitve communication with consumer groups about products and brands and this study has the characteristics from this point of view. Key Words: Influencer Marketing, Influencer Mom, Advertising, Social Media, Instagram, Content Analysi
An Approach for Constructing Concept Tree of Web Content Based on FCA and Thesaurus

In this paper, we propose an approach for constructing concept tree of web content based on FCA and thesaurus, which aims to solve the problem of evaluating web content. Firstly, each paragraph of web content is extracted, and the characteristic phrases of the paragraph are obtained, which is used to generate formal context; Secondly, we exploit FCA to build the concept lattice according to the formal context; finally, thesaurus is used on the process of pruning and renaming the concept of concept lattice to gain the concept tree of web content. Experiment results show that the concept tree constructed by our proposed method in this paper has strong competitiveness in reconstructing web content and rationality judgment of classification of web page.
Corpus evidence and discourse functions of the -mIş-DIr pattern

Data from corpora suggest that certain patterns in language are formed relatively frequently by the combination of various lexical items. These multiword units as prefabricated units serving different functions in discourse construction. In agglutinative languages, it has been argued that frequently occurring morpheme sequences may come to form n-grams akin to multiword units. In her seminal work, Tura (1986) points to discourse functions of morpheme sequences that are formed by -DIr (the generalizing modality particle) and a number of preceding tense, aspect and modality affixes. This paper presents the quantificational distribution of one such morpheme pattern from the corpus data. Particularly, the paper extracts collocations of the -mIş-person-DIr multimorpheme unit and analyzes its role as a stancemarker in discourse.
IVSV: An Improved CVSS Base Score Mechanism with Vulnerability Type

Increased demand of Software and Applications offer intruders to perform malicious activities and exploit user’s personal data. Ignorance of security measures and tools while coding the software promotes the vulnerabilities and flaws. Developing a secure and bug free software is a big challenge for a developer and needs proper attention towards safety features. A single security mistake can lead to a loss of important information or confidential business data. Software companies and other organizations are looking for improved vulnerability security systems to narrow down the risk of vulnerabilities. Risks like social security attacks, bugs, phishing emails, vulnerabilities, virus attacks and more, hover over the IT industry. Threats are possible from all directions and in many different ways, so having an adequate vulnerability scoring mechanism is highly needed to reduce the risk of attacks. Identifying these threats before they get close enough to do damage is the most practical way to handle them. CVSS-V2 (Common Vulnerability Scoring System) is a standard for scoring the severity of vulnerabilities. CVSS-V2 uses three equations (Base, Temporal and Environmental) to capture and rate vulnerability severity. Numerous IT companies and government organizations rely on CVSS to evaluate and prioritize vulnerabilities. This paper proposes a method as an improvement over CVSS-V2 scoring system by introducing “Vulnerability type” in its base score equation.
Augmented Reality

In this paper describe the general ideal feature of Augmented Reality (AR) plus central conception of this type of technology.At this time it is also describe the major ground of AR and is also useful in that particular ground and tells about the very important AR devices.Future guidelines are also discussed and AR depended future technologies explain.A few uniqueness of Augmented Reality systems and devices will be talk about and this paper also will explain about AR overview.
A Development of Discipline Structure for Studies on Cabin Management

초록·키워드 목차 오류제보하기 This study is to develop new discipline of "service management in aircraft cabin" based on it"s knowledge, skill, and attitude. Cabin management can be proposed as a one-word term for discipline for the service management. Cabin management can be defined as a logical and objective knowledge system for the service management. It has not been registered domestically nor internationally as a discipline. However, the service management in aircraft cabin field has been developed already related to national competency standard in Korea and is utilized for a faculty of college, therefore suitable time of registration for discipline should be sought. In this study, the basic structure for new discipline, the determination of the research subject and objective review were completed and the interdisciplinary approach for service management was conceptualized. As a result, essential preparation for new discipline systemization was completed. What was actually done in this study was as follows: characteristics of the unit knowledge forming the discipline, and the nature and relationship of knowledges, skills and attitudes in the field of the study under the NCS unit, and the knowledge categories belonging to the humanities, social sciences, and cross-discipline categories. #항공운항객실관리학(Cabinmanagement) #학문구조(Structure of Discipline) #국가직무능력표준(National Competency Standard) #항공기산업(Air Industry) #분과학문(Discipline) AbstractⅠ. 서론Ⅱ. 학문체계화 작업의 필요성Ⅲ. 항공운항객실관리학을 형성하는 단위 지식들의 특징Ⅳ. 학문으로서의 항공운항객실관리학의 특징Ⅴ. 항공운항객실관리학의 학문적 구조Ⅴ. 결론참고문헌
Crowd Management and Monitoring Using Deep Convolutinal Neural Network

India is counted as one of the most populated countries in the world. A lot of crime is also increasing due to the increasing population, as criminal activities are more frequent in a crowded place. Being crowded is also facing a lot of diseases. Therefore, crowd management and monitoring are very important therefore viewed from the security, crowd management, and monitoring plays a very important role in identifying group/ indi-vidual’s behavior in a crowd using video and image sequence for counting the person and detection of such misbehavior elements, This paper proposed a model for crowd management and monitoring person counting as object detection techniques. This paper proposed Deep Convolutional Neural Network, and Support Vec-tor Machine. The data set are taken from Mall, Kumbh Mela, and UCFD. The performance of the model us-ing training and testing of data is improved.
Innovative directions for improving social education of specialists in the social sphere

The article is devoted to the consideration of innovative directions for improving the social education of specialists in the social sphere in the context of the implementation of national projects. The education requirements in a networked civilization are analyzed, new cognitive capabilities of the individual are taken into account in the context of network environment in the development of the potential of social education, both in content and in aspects of new organizational forms and technologies. The development of social education is viewed in the historical and cultural context from the early 1990s to the present day, against the background of the improving system of secondary and higher vocational education. The role of social functions of education in the context of international and federal requirements for the integration of people with limited mobility into modern society is revealed. The content of each of the functions of social education is analyzed, taking into account the new innovative directions of reality in institutional forms, the updating regulatory framework, and the experience of innovative activities with people with limited mobility. In a single conceptual plan, the analysis of programs for individual recipients of social services, the professional training of specialists in social work and the assessment of students&amp;apos; activities of the relevance and significance of the main activities within the framework of social education programs are considered. Special attention is paid to inclusive complementary education programs for persons with disabilities. Integration processes in the education of elderly citizens and persons with disabilities, the implementation of andragogical programs for them, their acquisition of higher status, and improvement of their quality of life are considered. Conclusions are drawn about an innovative approach to improving the social education of specialists in the social sphere in a networked society.
Ориентиран към ученика позитивен подход на възпитание, обучение и социализация в часа на класа

The article examines the student-centered positive pedagogical approach in the class time lessons. It reviews the term’s definition and its connection to humane pedagogy, positive psychology and pedagogy. A constructed model for teaching and learning is described and four main components are viewed: dynamic and shared model for selection and structuring of the learning content; positive approach to education and classroom management; competence-oriented training; balanced approach to student-centered learning. Methodological guidelines for the realization of the student-centered positive pedagogical approach in the classroom are also indicated.
Metalearning Approaches for Algorithm Selection II

Summary This chapter discusses different types of metalearning models, including regression, classification and relative performance models. Regression models use a suitable regression algorithm, which is trained on the metadata and used to predict the performance of given base-level algorithms. The predictions can in turn be used to order the base-level algorithms and hence identify the best one. These models also play an important role in the search for the potentially best hyperparameter configuration discussed in the next chapter. Classification models identify which base-level algorithms are applicable or non-applicable to the target classification task. Probabilistic classifiers can be used to construct a ranking of potentially useful alternatives. Relative performance models exploit information regarding the relative performance of base-level models, which can be either in the form of rankings or pairwise comparisons. This chapter discusses various methods that use this information in the search for the potentially best algorithm for the target task.
Digital Inequity Survey to the Teachers of St. Aloysius Academy of Dasmariñas: A Basis for Digital Trust and Intuition

In the field of education, teachers must be technologically abreast especially in time of the COVID-19 Pandemic addressing the demand of the New Normal. To build confidence and capacity in digital teaching-learning, teachers must consider developing their skills in using digital technologies in education and they must also embed the use of digital devices in the teaching-learning practice. In this premise, this research article explains the digital inequality that the teachers are experiencing and its effect on their teaching profession and on establishing among themselves the digital trust and intuition. This study also aimed to answer, “What are the digital equalities do teachers encounter?” Th teachers’ decision for digital trust and intuition is affected by the digital inequalities they are experiencing. This study draws insights from a one-page survey questionnaire to 20 selected teachers of St. Aloysius Academy of Dasmariñas representing the faculty from the 3 departments such as preschool, grade school and high school. The results of this study indicate that teachers of St. Aloysius Academy of Dasmariñas are digitally inclined as manifested by their subscriptions to various digital devices and services. The impact of the digital technology to them in terms of social, economic, political and cultural affects their decision in digital trust and intuition. Overcoming issues on digital inequality among teachers will lead to digital trust and intuition. The school, from where the teachers are employed must address the digital inequality by ensuring that all teachers have equal chances in accessing the technology-based teaching devices and by providing them capacity building trainings which are imperative for the demand of the new normal. Teachers must embrace the digital technology in the community and in their workplace and imbibe the digital trust and intuition in education.