Reviewerly/exHarmony huggingface dataset:
AIServiceX: A Knowledge Graph-Based Intelligent Question-Answering System for Personal Services

Knowledge graph-based question-answering systems are widely used in e-commerce enterprises. They can reduce the costs of customer services and improve service capabilities. The description of questions is often ambiguous, and the knowledge graph's update in online personal services always has a high overhead. To address the above issues, by augmenting domain semantics, this paper proposes a knowledge graph-based intelligent question-answering system called as AIServiceX. It employs a gate recurrent unit model to identify entities and assertions, and then gets the most related semantic augmentation contents from existing external domain knowledge via topic comparison. Then, it ranks all the candidates to get optimal answers by discovering several heuristic rules. Periodically, it augments the global knowledge graph with minimized updating costs with an Integer linear programming resolving model. This mechanism can recognize question entities precisely, and map domain knowledge to the KG automatically, which achieves a high answering precision with a low overhead. Experiments with a production e-commerce data show that AIServiceX can improve the precision.
Analysis of age-related changes in the cortical thickness of the human cerebral and cerebellar cortex in areas associated with face recognition

analYsis oF aGe-related CHanGes in tHe CortiCal tHiCkness oF tHe Human CereBral and CereBellar Cortex in areas assoCiated witH FaCe reCoGnition a b s t r a C t -Aims.Perception and recognition of faces is supported by a network of nerve centers in the human brain that have different maturation periods in postnatal ontogenesis.In this article, we analyze the relationship between changes in the thickness of the cortex in facial recognition centers in children from birth to 12 years old.Methods.Histological material was obtained from the left cerebral hemispheres and bilaterally from the cerebellum of 62 boys who died from injuries without brain damage.The material was grouped at annual intervals.Measurements of the cortical thickness were carried out in field 37a in the fusiform face area on the medial surface of the occipital lobe, in field 10 on the lateral surface of the frontal pole, as well as in the lateral right and left parts of the posterior quadrangular lobule (H VI) of cerebellum.Morphometry was performed on virtual images of sagittal paraffin sections, stained with Nissl cresyl violet.The mean, standard error and confidence interval were calculated for the indicators of different age groups.Results.The most significant increase in cortical thickness in fields 37a and 10 occurs during the first year of life, at 2-3 and 6 years.Increases in cortical thickness in the lobule H VI of the on the right cerebellum are observed at 1, 2, and 7 years, on the left during the first two years of life.Evaluation of the relationship between age-related changes in cortical thickness using Spearman's rank correlation analysis showed that the strongest, direct and significant two-way relationship is between the indicators in the pairs field 37a & field 10 and field 10 & H VI on the right, a moderate significant relationship in the pair field 37a & H VI on the left.Conclusions.It is assumed that age-related changes in the cortical thickness in the centers of face recognition and their relationship reflect the stages of the formation of the facial processing in children.
Content Based Image Retrieval from Auto Encoders Using Keras and Tensor Flow Python API a Deep Learning Technique

As the technology is evolving new methods and techniques are determined and implemented in a smart way to improve and achieve a greater insight in this smart era. The retrieval of image is popularly growing in this emerging trend. In this paper we have used how to build a very simple image retrieval system using a special type of Neural Network called auto encoders. Here the images can be retrieved with visual contents textures, shape and this method of image retrieval is called content based image retrieval.
Citra Perempuan Dan Heroisme Dalam Cerpen Mademoiselle Fifi Karya Guy De Maupassant

&lt;p&gt;&lt;em&gt;Abstrak&lt;/em&gt; - &lt;strong&gt;Penelitian ini bertujuan untuk mendeskripsikan citra perempuan dan nilai heroisme yang direfleksikan di dalam cerpen Mademoiselle Fifi karya Guy de Maupassant, seorang penulis realis Perancis dari abad XIX.Metode yang digunakan dalam penelitian ini adalah deskriptif kualitatif dengan pendekatan kritik sastra feminis dan sosiologi sastra. Data berupa kata, frasa, dan kalimat yang berkaitan dengan citra perempuan dan nilai heroisme dalam objek yang dikaji, dikumpulkan dengan teknik studi pustaka. Data kemudian diklasifikasi, diinterpretasi, dan dianalisis dengan landasan teoretis yang relevan. Hasil penelitian menunjukkan bahwa perempuan dicitrakan sebagai sosok yang pemberani, cerdas, dan agresif. Namun, di level sosial dan pendidikan, perempuan masih dianggap berada di bawah kuasa laki-laki. Nilai heroisme lewat tokoh Rachel dapat dilihat saat ia berani melawan Mademoiselle Fifi, saat ia setia membela kehormatan tentara Prancis, dan saat ia berani mengambil risiko untuk membunuh Mademoiselle Fifi.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Abstract&lt;/em&gt;&lt;strong&gt; - This study aims to describe the image of women and heroism which are reflected in &lt;em&gt;Mademoiselle Fifi&lt;/em&gt; short story written by Guy de Maupassant, a French writer in 19th century. The methodology used in this study is qualitative descriptive with feminist criticism theory and literary sociology approaches. The data of this study are the words, phrases, and sentences related to the image of women and heroism in the research object, examined through the literature review technic. The data will later be classified, interpreted, and analyzed using relevant theories. The result of the study shows that women are depicted as brave, clever, and aggressive. However, in the social and educational level, women are still thought of under men’s control. Heroism values in Rachel can be seen at the moment when she is brave to fight against &lt;em&gt;Mademoiselle Fifi&lt;/em&gt;, when she defends the honor of French soldiers and when she is brave enough to take a risk in murdering &lt;em&gt;Mademoiselle Fifi&lt;/em&gt;.&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; - The image of women, Heroism, Guy de Maupassant, Mademoiselle Fifi.&lt;/em&gt;&lt;/p&gt;&lt;p align="center"&gt; &lt;/p&gt;&lt;p&gt; &lt;/p&gt;
Continuous-variable Quantum Teleportation of States Multiplexed in Time Domain

We develop fast and programmable phase switching of local oscillators of homodyne measurements suitable for time-domain multiplexed one-way quantum computation. Using this technique, we demonstrate quantum teleportation of EPR states multiplexed in time.
DESIGNING ICT COMPETENCES-INTEGRATED LANGUAGE AWARENESS (ENGLISH PHONETICS AND PHONOLOGY, ENGLISH MORPHOLOGY AND SYNTAX, AND ENGLISH SOCIOPRAGMATIC) ASSESSMENT INSTRUMENTS FOR ELESP

Abstract&#x0D; The purpose of this research was to design ICT competences-integrated Language Awareness (English Phonetics and Phonology, English Morphology and Syntax, and English Socio-pragmatic) assessment instruments for English Language Education Study Program (ELESP). The Design and Development Research (DDR) acommodatesthis research to produce the models and principles guided by the design, development, and evaluation processes. The data of this research are final test of assessment instruments from five Universities existing assessment instruments of English Language Education Study Program, UNESCO document, European Profiling Grid (EPG) document, and Common European Framework of Reference (CEFR). The reseacher conducts three phases: need analysis, where the writeranalyses the existing assessment instruments of five universities and compare them to ICT competences of EPG, information gathering, and prototypical design. The findings shows the ICT competences of five universities on Technology Literacy of UNESCO. The research results are the procedures to design Table of Specification (ToS), the design ICT competences-integrated in Table of Specification, and design ICT competences-integrated in test and non-test of Language Awareness assessment instruments.&#x0D; Keywords: Assessment instruments, ICT competences, Table of Specification, andLanguage Awareness.
The role of oral negative feedback through Whatsapp: a study in Soure, PA

From the perspective of Instructed Second Language Acquisition, this dissertation analyzes the role of oral negative feedback in mobile assisted language learning through WhatsApp in a group of preservice English as a Foreign language (EFL) teachers at the Federal University of Para – Campus Universitario do Marajo/Soure, Brazil. In view of the severe instructional constraints faced by these preservice EFL teachers, mobile communication through WhatsApp has come as a possible solution to foster second language speech development and, within its scope, oral negative feedback. Based on theories of instructed second language acquisition, negative feedback and mobile assisted language learning, the major objective of this study was to investigate whether oral negative feedback facilitates or not L2 speech development through WhatsApp. For that purpose, a mixed methods study was designed with both quantitative and qualitative data generated by four elicitation methods: (a) preliminary oral test, (b), field notes, (c) focus group semi-structured interviews, and (d) posterior oral test. Findings demonstrated that oral negative feedback through WhatsApp had a positive impact on the development of structural linguistic constituents in L2 communicative competence; however, hardly no improvement was observed in segmental or supra-segmental pronunciation.
Penelusuran Informasi Rekam Jejak Alumni Program Studi Informasi, Perpustakaan, dan Kearsipan Universitas Negeri Padang

Abstract This study aims to determine (1) the profile of the graduate, (2) the absorption of graduate in the world of work, (3) the use of knowledge gained by the graduate in the work, (4) the assessment of stakeholders on the ability of graduate. This study uses a descriptive method with a quantitative approach. Data collection uses research instruments. The population in this study was Graduate from the major of Information, Library, and Archives of Padang State University (PS IPK UNP). The sample in this study amounted to 105 graduates who returned the instrument. The results showed, First, the profile of Graduate PS IPK UNP was dominated by female graduates. Most of the graduates are graduates who graduated in 2018. Judging from the length of the study period, the average graduate has a length of the study period of 3 years. Second, the absorption of graduates in the workforce is quite high, with most graduates stating that they are currently working with the time needed to get the job &lt;3 months. Third, the use of knowledge obtained by a graduate at the PS IPK UNP in employment is very high. The science that has a very high level of wear is fieldwork learning, technology mastery skills, and the ability to cooperate in teams. Fourth, the assessment of graduate users (stakeholders) on the ability to graduate in the work world has also been good. The ability of the graduate to be considered good by graduate users (stakeholders) is integrity, expertise based on the fields of science, mastery of information technology, and teamwork.Keywords: Information retrieval, graduate, tracer study
Realistic Content (AR,VR,,360Â° Utilization and Improvement in Non-face-to-face Training -Focused on Elementary School Education

Corona19 is changing the overall lifestyle of our lives In line with this changed situation, the paradigm of education is also expanding from face to face Realizing that various problems such as poor quality and digital divide of non-face-to-face classes, which have been noted for their online opening, are paradoxical opportunities shown by Corona 19, the government should use them as a catalyst to change the paradigm of digital education due to the current turmoil to seek ways to improve them The current problem with non-face-to-face education is that it cannot escape the one-way lecture pattern, which is an extension of regular classes such as video lectures and remote lectures, causing a decrease in the quality of learning and a decrease in learning satisfaction In addition, learning satisfaction resulting from uniform task-oriented classes and lack of unprepared learning contents without considering individual learning abilities is reducing the improvement of learning ability In order to solve these problems, the government and private education market should establish a stable digital environment for non-face-to-face education, establish an institutional system, and develop various educational methods and learning contents Finally, a customized educational environment system based on individual ability, learning speed, and learning ability should be established as soon as possible In non-face-to-face education, AI-based realistic contents should be actively utilized to provide customized education according to individual learning abilities so that teachers, students, students and students can communicate in two-way ways For non-face-to-face customized education, various development studies on new education methods should be conducted As a solution to these issues, this paper proposes specific education/learning methods using AI-based realistic education contents This is believed to be a class model that can satisfy both professors and learners, and based on this, development research on specific education methods must be continued to increase the efficiency of non-face-to-face classes centered on learners
METODE GENERALIZED MEAN DISTANCE-BASED K-NEAREST NEIGHBOR CLASSIFIER (GMDKNN) UNTUK ANALISIS CREDIT SCORING CALON DEBITUR KREDIT TANPA AGUNAN (KTA)

Unsecured Credit is one of the credit facilities provided by banks, where the prospective debtor can borrow some amount of fund from the bank without having to provide collateral. Credit scoring is a process that aims to assess the worthiness of credit applications and classify the credit applicants into prospective debtors whose the credit application is worthy to be accepted and prospective debtors whose the credit application should be rejected. One of the statistical methods that can be applied in examining the analysis of credit scoring is the Generalized Mean Distance-Based k-Nearest Neighbor (GMDKNN) classifier. Empirical study on this method uses 23,337 data of prospective debtor of unsecured credit in 2018, with the dependent variable being the credit scoring final decision and seven independent variables, i.e. age, child dependent, length of employment, age of the company, income, loan proposed, and duration of credit. Based on the feature selection test, all independent variables are significantly taking effect on the credit scoring final decision. The best classification model is obtained in the parameters k = 137 and p = -1 with the classification performance metrics represented by the values of APER = 0,2580, accuracy = 74,20%, sensitivity = 0,6083, specificity = 0,8393, AUC = 0,7238, and G-Mean = 0,7146.Keywords: Unsecured Credit, credit scoring, classification, Generalized Mean Distance-Based k-Nearest Neighbor (GMDKNN).
Organization of Project Work of Elementary Schoolchildren in Familiarization With Traditional Festive Treats in Popular Culture

The author of the article pays special attention to the project method that has great potential for the formation of a certain system of intellectual skills and practical skills in schoolchildren, which contribute to the mastery of the activity component of the education content. It is outlined that the use of the project method in working with elementary schoolchildren implies four stages: organizational and preparatory, technological, generalizing, reflexive. It is also emphasized that the specificity of the implementation of each stage, due to the age characteristics of the schoolchildren, involves leadership in the joint search for the problem and the choice of ways to solve it; ensuring that every child is included in the planning and performance criteria for product development, consistent implementation and adequate evaluation; organization of reflexive work on understanding the process and results of individual and group productive and creative activities at organizational, preparatory, technological and generalizing stages; management of the project product design and evaluation processes. Methods. On the example of the creative project “Traditional festive treats in popular culture”, practical recommendations for organizing the project work of elementary schoolchildren as a mental prediction of what will then be created in the form of a project product, independent planning and time-fixed achievement of the goal are presented. Results. It was concluded that in elementary school age, project activities are a way of pedagogically organized development of the surrounding reality by the child, therefore its success is largely determined by the level of methodological preparation of the teacher.
The Students’ Difficulty in Writing Hortatory Exposition Text At the Elevent Grade of SMA N 10 Jambi

The aim of this research is to describe the students ‘difficulty in writing hortatory exposition text at the eleven grade of SMA N 10 Jambi, which focus focusing on text organization (thesis, arguments, and recommendation). Design of this research is descriptive qualitative. Pre-research were done by doing interview. The data are collected by documentation (students assignment by documentation (students’ assignment made hortatory exposition text) and used quasi-statistical as the analysis method. As the result, thesis is the very most difficult part in making hortatory exposition text because twenty-one students (49%) from the overall forty-three students are unable to make thesis statement in their text. Meanwhile, the connectivity between the text organization is the most difficult in making this text because about twenty-nine (67%) from forty-three students are unable to make supporting arguments to thesis statement in their hortatory exposition text and they unable to make connectivity between recommendation and thesis statement. It means the supporting point of arguments to thesis statement is the most difficult component in arguments part and for recommendation part is in the level of recommendation connectivity with thesis statement. On the other hand most of the students proved having difficulty in text organization in making hortatory exposition text.
LibGuides: Changes to Referencing at Coventry University Group: Home

Introduction to using this Coventry University Guide to Referencing in Harvard style website
In the name of ♥︎

In a book, I have gathered 2 years of research on the heart symbol in the context of social media and the responsibility of Facebook Inc. in the propagation of hate speech. In parallel, new far-rig ...
Visual Tracking Jointly With Online and Offline Learning

While recent approaches based on offline learning perform well in balancing the accuracy and speed of tracking, it is still non-trivial to accommodate a pre-trained model to an unseen target. In fact, online learning, which requires to capture specified target characteristics from one shot, is a unique attribute of single object tracking. How to favorably bridge the gap between the offline and online learning is of importance for tracking any unseen targets. In this work, in order to obtain sequence-specific information, we propose an online lightweight network consisting of feature adapting layer and ridge regression layer. Its key innovation is to interpret the ridge regression as one layer of the network. Furthermore, we integrate cross-similarity into the Siamese network and train it offline in an end-to-end manner to acquire the fine-grained local pattern of the target object. Through our effective fusion scheme for the offline and online procedures, our method can achieve considerable improvements on prevalent benchmarks.
Content-Aware Anomaly Detection with Network Representation Learning

Given a network with node descriptions or labels, how to identify anomalous nodes and anomalous links in it? Existing methods (e.g., non-negative matrix factorization) mostly focuses on structural anomalies, without taking node descriptions or labels seriously into account. However, such information is obviously valuable for detecting anomalous nodes and links. On the other hand, network representation learning aims to represent the nodes and links in a network as low-dimensional, real-valued and dense vectors, so that the resulting vectors have representation and reasoning ability. It is straightforward that the reconstruction errors between normal node representations are small, while anomaly ones are not. Therefore, we propose a novel Content-Aware Anomaly Detection (CAAD) method based on network representation learning and encoder-decoder. The CAAD method learns structural and content representations with convolutional neural networks. By using the learned low-dimensional node representations, an encoder-decoder model is trained to perform anomaly detection in terms of reconstruction errors. Experiments on two synthetic datasets and one real-world dataset demonstrate that CAAD consistently outperforms the existing baseline methods. For more information and source codes of this study please visit https://github.com/lizhong2613/CAAD.
THE REVIEWS OF USERS OF THE DUOLINGO APPLICATION: USABILITY AND OBJECTIVITY IN THE LEARNING PROCESS

Since 2011, the Duolingo platform helps those who seek to learn a second language. Present in all popular mobile operating systems, it offers, in the Brazilian interface, the teaching of Spanish, French, and English language, being English the first to be made available in the platform. Given the platform’s mission of personalized teaching, making learning fun, and universally accessible, the research aims to analyze the opinions of users on the Google Play Store. The objective was to understand the usability process, ease of access, and the user-learning relationship of the application and to achieve it, it was used the assumptions of Human-Computer Interaction, that investigates the form of communication between people and computational systems, as well as forms of accessibility and facilitation of this communication. It will be used the quantitative methodology of the comments available on the digital store in the entire month of January 2020. The results show that 85.13% of the users rated the tool with the highest score, the scores range from 1 to 5, and that usability is a positive component that facilitates learning. It is noteworthy, though, that the tool can be used as an aid in foreign language teaching processes.