Reviewerly/exHarmony huggingface dataset:
To evaluate the anthropometric profile of auricle among school going children in tribal belt of Chhattisgarh, India

Background:The auricle was resides outside the head.Auricle was different size and shape affected by both sex, all age, races and play an important role in forensic investigation.Otapostasis was the most common deformity of the auricle.Aim: To study the morphometric measurements of the auricle and to evaluate otapostasis among school going children in tribal belt of Chhattisgarh.Materials and Methods: School children of three tribal belt of Chhattisgarh, were selected at random and their morph metric measurements like auricle lengths, auricle projection and front of face height of both auricles were taken with the help of a digital vernier caliper.Total 550 healthy students aged group 9 to 15 years included in current research.Children with any auricle deformity, previous auricle surgeries, auricle tumors, history of auricle trauma were excluded from the current research.Result: In present study, mean auricle height was 48.95±5.75(right auricle) and 48.98±5.77(left auricle) and otapostasis was 18.86±4.09(auricle ear) and 18.87±4.10(left auricle) among all students.Mean auricle height and otapostasis was higher in males than in females.Gender related differences were found not significant.Among all study participants 25.81% had an otapostasis left auricle while 25.09% had an otapostasis right ear.Among male students, 28.48 % had otapostasis right and left ears while female students, 23.63% had right auricle otapostasis and 24.67% otapostasis left auricle.Conclusion: otapostasis more in males than females among tribal school children.These measurements are keen and valuable in evaluation of auricle abnormalities, reconstruction and in otomorphology for identification of tribal belt children.
HUBUNGAN ANTARA MINAT BELAJAR TERHADAP HASIL BELAJAR MATEMATIKA SISWA SDN 3 JATIMULYO

One factor that influences learning outcomes is interest. In learning activities, if students have an interest in learning, they will feel that learning is very important so they try to focus their attention on things related to learning activities and are happy to do it without coercion from anyone. This research aims to determine the correlation of interest in learning with mathematics learning outcomes of students at Elementary School 3 Jatimulyo, Jatiagung District, South Lampung Regency. This research uses quantitative methods and the type of correlation research. The population of this study was all fourth grade students of Elementary School 3 Jatimulyo. The sample of this study was 69 students. Data collection techniques using questionnaires and documentation. Data analysis uses the product moment correlation formula. The results of this study indicate there is a relationship between learning interest with learning outcomes in mathematics. These results are based on statistical calculations that show a calculation of 0.918&gt; rtable 0.235. The results of the hypothesis analysis can be concluded that there is a positive correlation between learning interest and mathematics learning outcomes of fourth grade students of Elementary School 3 Jatimulyo Odd Semester Academic Year 2018/2019 by judging from the count criteria&gt; rtable
Robot, Inc.: Personhood for Autonomous Systems?

To date, no legal system classifies robots or other autonomous systems as legal subjects, instead leaving them to share the classification of other artifacts: objects. This arcticle examines whether the law should change and recognize robots and software agents as ePersons, capable of attracting and absorbing tort liability. It develops the concept of subject and weighs the costs and benefits of classifying ePersons accordingly. In doing so, it provides an outline of liability regimes for traditional liability subjects, namely manufacturers and users, in order to measure the gap in the liability system that robot liability could fill.
Bayesian Inference—Data Evaluation and Decisions (2nd ed.)

The book presents how Bayesian and Laplace methods can be applied to assessing random events using concepts from modern physics. The prior is defined as the combination of symmetry arguments and di...
POSTER: The use of Augmented Reality in the classroom

Augmented reality is a technology that has been growing every day, being used in various fields, such as architecture, games and medicine, and because of this growth, several applications of this resource arise. With this in mind, this project seeks to apply augmented reality in the classroom by the use of smartphones. Our intention is to show that a device that can hinder learning, can also helps a lot when applied in a favorable way to learning. Basically, with an easy-to-use mobile phone application, students will be able to see pictures from their textbook in three dimensions and animated, thus making learning more dynamic and playful. By not modifying the content of the textbook, the application can be used in several schools, requiring the application and the textbook for which it was developed.
Sistem Keamanan Multi Mail Server dengan Teknik Enkripsi OPENPGP pada Zimbra Exchange Open Source Software

&lt;p class="Abstrak"&gt;Surat elektronik atau &lt;em&gt;email&lt;/em&gt; merupakan media komunikasi yang sangat populer. Untuk mengirim dan menerima email, diperlukan sebuah penyedia &lt;em&gt;(server)&lt;/em&gt; yang di dalamnya terdapat layanan &lt;em&gt;email&lt;/em&gt;. &lt;em&gt;Zimbra Collaboration Suite (ZCS)&lt;/em&gt; merupakan salah satu aplikasi &lt;em&gt;mail server powerfull&lt;/em&gt; yang dapat dipergunakan sebagai aplikasi &lt;em&gt;mail&lt;/em&gt; &lt;em&gt;server&lt;/em&gt; dalam jumlah user puluhan hingga ribuan. Pada penelitian ini, sistem enkripsi pada Zimbra &lt;em&gt;multiple-mail&lt;/em&gt; &lt;em&gt;server&lt;/em&gt; menggunakan metode OpenPGP diimplementasikan untuk mengamankan isi &lt;em&gt;email&lt;/em&gt; yang dikirim maupun yang diterima, yaitu dengan memanfaatkan &lt;em&gt;public key&lt;/em&gt; dan &lt;em&gt;private key&lt;/em&gt;. Hasil pengujian menunjukkan metode &lt;em&gt;OpenPGP &lt;/em&gt; mampu bekerja dengan baik untuk keamanan sistem pengiriman dan atau penerimaan &lt;em&gt;email&lt;/em&gt; pada &lt;em&gt;multi mail server&lt;/em&gt;.&lt;/p&gt;&lt;p class="Abstrak"&gt; &lt;/p&gt;&lt;p class="Abstrak"&gt;&lt;em&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/em&gt;&lt;/p&gt;&lt;p class="Abstract"&gt;&lt;em&gt;Electronic mail or e-mail is a very popular communication medium. To send and receive e-mails, a provider (server) is needed in which there is an e-mail service. Zimbra Collaboration Suite (ZCS) is one powerful mail server application that can be used as a mail server application in the number of users from tens to thousands. In this study, the encryption system on the Zimbra multiple-mail server uses the OpenPGP method to be implemented to secure the contents of e-mails sent and received, namely by using the public key and private key. The test results show that the OpenPGP method works well for the security of the email sending/receiving system on a multi-mail server.&lt;/em&gt;&lt;/p&gt;
Modeling and Formal Verification of Web Services Composition Using CADP

A growing number of companies are using web services to make their expertise and data available through the network.The current problem is the integration of these services with the aim of implementing business-to-business (B2B) collaboration.This task of collaboration is called the composition of web services.The main objective of this research work is proposing a new approach of modeling and verifying web services composition.This approach allows a clear and structured modeling and easy verification regardless of the number of services to be composed and the degree of complexity of composition.Concerning the contribution, we firstly propose a modeling of the composed system based on the multi agent systems and precisely the Multi-agent reactive decisional system (MARDS), and using the BPM (Business Process Management) standards in particular the BPMN notation.Secondly, we seek to verify this modeling to prove its correctness before implementing it.For verification, we propose a transformation of the BPMN model to a formal LOTOS specification, which has the advantage of being supported by formal verification tools such as the CADP toolkit, which allows to apply the behavioral properties and validate the system of Web services composition.
Using Name Standardisation to Track Candidate and MP Performance over Time in Papua New Guinea

This paper makes use of data from the Papua New Guinea Election Results Database. It draws on an exercise in which we standardised the spelling of candidate names to allow for intertemporal analysis. Our central research questions included: whether the share of more experienced MPs in Papua New Guineaâ€™s parliament has increased; whether MPs who have been in power longer are more or less likely to be re-elected than newer MPs; whether the typical first-time winner in the 2012 and 2017 elections had a long history of previous candidacies; and whether women candidates perform better over time if they stand in multiple elections. We found no trend of increasing MP experience. We found third term MPs were less likely to be re-elected than first and second term, but fourth-term MPs were more likely to be re-elected. We found that, typically, winners in 2012 and 2017 had not stood many times prior to victory. And we found that female candidates tend to perform worse on average the more times they stand, although there is considerable variation amongst different candidates.
Concentric set schematization

Sets can be visualized in various ways and settings. An importantdistinction between techniques is based on whether the elementshave a spatial location that is to be used for the visualization; forexample, the elements are cities on a map. Strictly adhering to suchlocation may severely limit the visualization and force overlay, intersectionsand other forms of clutter. On the other hand, completelyignoring the spatial dimension omits information and may hide spatialpatterns in the data. In this abstract, we present ongoing researchon a method that is in between spatial and nonspatial visualizations.The main idea is to schematize (move) the spatial locations ontoconcentric circles, to improve the visualization of the set systemwhile roughly maintaining spatial structure.
Innovation and Practical Ability Evaluation for College Student under Multi-subject Integration Background

Multi-subject integration has become a common phenomenon in university talent training. According to the characteristics of innovation and practical ability of different talent output types such as research type, industrial application type and management type, the indicator system of innovation and practical ability evaluation is established based on activities and achievements, then the evaluation method is designed based on the fuzzy mathematics theory. A case study of college student majoring in mechanical engineering is given to illustrate the feasibility of the proposed method which can provide the guidance basis for the university talent training under multi-subject integration background.
PENINGKATAN KEMAMPUAN MICROSOFT OFFICE PADA SISWA KELAS V DI SD NEGERI MUKTIHARJO KIDUL 01 SEMARANG

Microsoft Office is a basic capability that everyone must have. This is evidenced by the use of Microsoft Office in the world of education, offices, and everyday life. In the world of education Microsoft office has been introduced starting from elementary level education. The teacher gives school assignments also using Microsoft Office, for example the teacher gives assignments to students to make articles. In completing this school assignment, students will usually ask for help from an internet cafe operator or brother to help do it. Students of Muktiharjo Kidul 01 Elementary School Semarang have not all been able to master the Microsoft Office application. The purpose of this service is to use Microsoft Office to do school assignments related to making articles and others. The output of this service is that participants are able to make their own school assignments using Microsoft Office.
Is the Artificial Intelligent? A Perspective on AI-based Natural Language Processors

The issue of the relation between AI and human mind has been riddling the scientific world since ages. Being the mother lode of research, AI can be scrutinised from a plethora of perspectives. One of them is a linguistic perspective, which encompasses AI’s capability to understand language. Having been an innate and exclusive faculty of human mind, language is now manifested in a countless number of ways, transcending beyond the human-only production. There are applications that can not only understand what is meant by an utterance, but also engage in a quasi-humane discourse. The manner of their operating is perfectly organised and can be accounted for by incorporating linguistic theories. The main theory used in this article is Fluid Construction Grammar, which has been developed by Luc Steels. It is concerned with parsing and segmentation of any utterance – two processes that are pivotal in AI’s understanding and production of language. This theory, in addition with five main facets of languages (phonological, morphological, semantic, syntactic and pragmatic) provides a valuable insight into the discrepancies between natural and artificial perception of language. Though there are similarities between them, the article shall conclude with what makes two adjacent capabilities different. The aim of this paper is to display the mechanisms of AI natural language processors with the aid of contemporary linguistic theories, and present possible issues which may ensue from using artificial language-recognising systems.
P83 Incorporating artificial intelligence techniques in decision making concerning the optimal management of postmenopausal women with evidence of endometrial pathology

<h3>Introduction/Background</h3> The diagnostic accuracy of artificial neural networks (ANNs) and Classification and Regression Trees (CARTs) has been already tested in several studies involving cancer patients. To date, however, its use in the field of gynecologic oncology remains extremely limited. In our study, we aim to investigate the diagnostic accuracy of three different methodologies logistic regression, ANNs and CARTs for the prediction of endometrial cancer in post-menopausal women. <h3>Methodology</h3> We retrospectively searched medical records of all patients that were subjected in endometrial sampling procedures due to post-menopausal vaginal bleeding or ultrasographic evidence of endometrial pathology. Classical regression analysis was performed along with ANN and CART analysis using the IBM SPSS and Matlab statistical packages. <h3>Results</h3> Overall, 178 women were enrolled. Among them, 106 women were diagnosed with carcinoma; whereas the remaining 72 women had normal histology in the final specimen. ANN analysis seems to perform better with a Sensitivity of 86.8%, Specificity of 83.3% and overall accuracy of 85.4%. CART analysis did not perform as well with a Sensitivity of 78.3% a Specificity of 76.4% and overall accuracy of 77.5%. Regression analysis had a poorer predictive accuracy with a sensitivity of 76.4%, a specificity of 66.7% and an overall accuracy of 72.5%. <h3>Conclusion</h3> Artificial intelligence is a powerful mathematical tool that may guide clinicians involved in primary care in decision making when endometrial pathology is suspected. Our study clearly denotes that this can be done with simple indices which may be drawn from the patients` history and a basic anthropometric measurement. However, current data in this field remain in a premature state to support this method as a screening tool as the number of participants remains low to stabilize the diagnostic accuracy of the algorithm; hence, future, multicenter studies are needed to support our findings. <h3>Disclosure</h3> Nothing to disclose.
First-Order Logic

This chapter explores First-Order Logic, an extension of Propositional Logic, which was the focus of Chapter 1. First-Order Logic takes into account the inner logical structure of propositionproposition resulting from the presence of quantifiers and from specifying individuals, properties, and relations. After showing how to read and write sentences using the symbolism of First-Order Logic, the chapter discusses the need for and use of interpretations in its semantics. Based on that, natural deduction inference rules for identity and for the universal and existential quantifiers are given. As in Chapter 1, developing an understanding of mathematical proof strategies based upon these rules is the end goal of this study. The chapter concludes by comparing formal and informal modes of proof in mathematics and reflecting upon the value of logic for constructing proofs.
A Non-notewise Melody Editing Method for Supporting Musically Untrained People's Music Composition

There have been many systems that automatically create a melody. However, when the created melody is not satisfactory, it is difficult for musically untrained people to manually edit it on a conventional MIDI sequencer. Therefore, we propose a melody editing method based on a <i>melodic outline</i>, which represents the overall shape of a melody. Given a melody, its melodic outline is obtained by applying the Fourier transform to the melody's pitch trajectory and extracting low-order Fourier coefficients. After the outline is redrawn, it is transformed into a note sequence by the inverse procedure of the extraction and a hidden Markov model. Experimental results showed that (1) for novice participants, our system was easier than the conventional piano-roll interface, (2) generated melodies were satisfactory for both novice and intermediate participants, and (3) novice participants' ideas about what melody they want became clearer as they experienced melody editing everyday.&nbsp;
IDENTIFYING TWITTER BOTS BASED ON TRENDING HASHTAGS USING MACHINE LEARNING ALGORITHMS

A bot is a piece of software that completes automated task over the internet .On social media the prevalence of bot is ubiquitous. Nearly 48 million twitter accounts are automated using bots.Detecting bots is necessary in order to identify bad actors in “Twitter verse” and protect genuine users from misinformation and malicious intents. According to a study released by Pew Research Center, these bots contribute to approximately 66% of total tweets in twitter.Bots are becoming smarter, they mimic humans to avoid being detected and suspended, and increase throughput by creating many accounts.The idea is to develop a bot detection algorithm to identify twitter bot accounts by using attributes like followers _ count, no of tweets or likes, status _ count etc. Thus evaluate these features using k-nearest neighbour algorithm and Random Forest. Finally the result of two models are combined using suitable ensemble method to produce more accurate solution. The Test dataset is prepared specifically for any hashtag. The dataset consists details of the accounts which uses that hashtag. This dataset is cleaned and used as a test dataset.
Development of Future Primary School Teachers’ Linguistic and Methodological Competence

Many Russian and foreign researchers note the inability to apply theoretical knowledge in practice, the gap between theory and practice in the context of university studies as one of the reasons of difficulties in the implementation of young teachers’ professional activities. The competence approach implemented in the education system of Russia today offers a solution to this problem through the formation of special, general and key competencies. Primary school teachers’ professional competence also includes a range of private methodological competencies. One of these competencies is linguistic and methodological, which ensures a teacher’s readiness to teach the Russian language to primary school students. Often the value of particular methodological competencies is underestimated. In this article, the importance of linguistic and methodological competence in ensuring the achievement of a new quality of education is revealed through the comparative analysis of two lessons. The purpose of this article is to define strategies and develop tactics for the formation of elementary school teachers’ linguistic and methodological competence in the context of continuous pedagogical education. The leading method of the research was a pedagogical experiment conducted among students and primary school teachers. The article describes the main stages of the experiment, presents the tactics of cognitive and projective strategies implementation in the context of university training for bachelor’s students - future primary school teachers, and advanced courses for primary school teachers. Digital educational resources, distance learning modules, activity-related educational technologies are considered as the main tools and tactics. The materials presented in the article allow increasing the effectiveness of teachers’ professional activity in the field of language education.
A playback software applied to remote sensing video information display

Microsatellites, which have become research hotspots, can obtain remote sensing video data of the target area through gaze imaging mode. However, at this stage, there is no dedicated video playback software and solution suitable for remote sensing video data display. Conventionally, remote sensing video data can only be played through ordinary video playback software. This could not fully display the rich information contained in remote sensing video data. In view of the above problems, this paper analyzes and designs a software solutions suitable for remote sensing video data playback. The proposed software solution can better display the geographical related information contained in the remote sensing video and describe the target dynamic information in the video.
Secure handling of encryption keys for small businesses : A comparative study of key management systems

Background: A recent study shows that key management in the cooperate world is very painful due to, among other reasons, a lack of knowledge and resources. Instead, some companies embed the encrypt ...
The problem of forecasting emergency situations of technical objects

The problem of edge state forecasting has a wide field of application. To begin with, it arises when one develops a technical diagnostics system as the problem of forecasting emergency situations of technical objects. When the ecological system is concerned it appears as the problem of forecasting unfavorable development of the ecological situation. In case of investment analysis it evolves as the problem of forecasting the risks of no profit. In medical diagnostic automated systems it is the forecasting disease progression and transition.
The Webometric Evaluation for Hamadan University of Medical Sciences in Comparison with Top-ranked World and Iranian Medical Universities

The Webometric Evaluation for Hamadan University of Medical Sciences in Comparison with Top-ranked World and Iranian Medical Universities