Reviewerly/exHarmony huggingface dataset:
Augmented Reality for Human Needs: An Ontology

Augmented Reality is a display and interaction method of future computing. It augments digital information in real environments in text, audio, image, or video formats. Augmented reality can be more effective if supported by knowledge about human needs. Basic human needs are finite in number, and with the right methods, they are detectable or predictable. This research develops an ontology that describes the structure and relations between the elements of augmented reality, context information, and human needs, with the ultimate goal of developing a robust conceptual model. Ontology development is a knowledge-driven approach used to represent data and reasoning. This paper focuses on linking the aforementioned concepts to enable correct data representation and reasoning. The research approach, process used, and the evaluation of the ontology is presented as well.
Fusing the single-excitation subspace with $${\mathbb C}^{2^n}$$

Abstract There is a tremendous interest in developing practical applications for noisy intermediate-scale quantum processors without the overhead required by full error correction. Near-term quantum information processing is especially challenging within the standard gate model, as algorithms quickly lose fidelity as the problem size and circuit depth grow. This has lead to a number of non-gate-model approaches such as analog quantum simulation and quantum annealing. These come with specific hardware requirements that are different than that of a universal gate-based quantum computer. We have previously proposed an approach called the single-excitation subspace (SES) method, which uses a complete graph of superconducting qubits with tunable coupling. Without error correction the SES method is not scalable, but it offers several algorithmic components with constant depth, which is highly desirable for near-term use. The challenge of the SES method is that it requires a physical qubit for every basis state in the computer’s Hilbert space. This imposes exponentially large resource costs for algorithms using registers of ancillary qubits, as each ancilla would double the required graph size. Here we show how to circumvent this doubling by leaving the SES and fusing it with a multi-ancilla Hilbert space. Specifically, we implement the tensor product of an SES register holding “data” with one or more ancilla qubits, which are able to independently control arbitrary $$n\!\times \!n$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mspace /> <mml:mo>×</mml:mo> <mml:mspace /> <mml:mi>n</mml:mi> </mml:mrow> </mml:math> unitary operations on the data in a constant number of steps. This enables a hybrid form of quantum computation where fast SES operations are performed on the data, traditional logic gates and measurements are performed on the ancillas, and controlled-unitaries act between. As example applications, we give ancilla-assisted SES implementations of quantum phase estimation and the quantum linear system solver of Harrow, Hassidim, and Lloyd.
FSES HE 3++ educational standard through the prism of the concept of “Education for sustainable development”

The emergence of new goals in the educational system, dictated by globalization and technologization of modern society raises the question of the transition to a new pedagogical concept of education for sustainable development. The article proposes a definition of ESD, considers the reflection of the principles of ESD in a single regulatory and methodological complex, consisting of the Federal State Educational Standard of Higher Education 3++ and exemplary basic educational programs. The author tried to correlate the requirements of the educational standard in linguistics with current professional standards. In the course of the study, proposals are made for the full implementation of the main professional educational programs of a bachelor's degree in “Linguistics” in terms of the concept of ESD. It is concluded that a new educational paradigm is forming now and needs methodological support for the consistent construction of a unified competency model of a graduate at all levels of the educational system, with an emphasis on the formation of personal qualities and activity attitudes necessary for sustainable development of society.
Gender differences of speech in Internet communication.

This article covers the specifics of male and female Internet communication, based on the works in the field of gender linguistics. An analysis of different concepts, scientific works and studies related to the genderlect was performed. Authors of this article conducted their own research based on the works of previous years in order to confirm or refute the thesis about the existing differences in the speech of men and women put forward previously. The research methods consisted of creating a list of studied gender speech markers, creating a methodology for assessing their relevance and conducting a survey using Google Forms. Drawing a conclusion from the results of the study, authors of this article concluded that the speech differences between sexes are extremely rare, non-systemic and affect language only on a lexical level. Based on the available data, it is impossible to confirm that the existing speech features of some male and female representatives are consequential of their sex/gender, and not individual cases of upbringing. The relevance of this work is due to the lack of such studies in the field of Russian language and Russian-speaking Internet, as well as ambiguity of previous studies by foreign scientists.
Improving radiographic image contrast using multi layers of histogram equalization technique

&lt;span id="docs-internal-guid-43432eef-7fff-9949-6deb-865191ff0740"&gt;&lt;span&gt;Usually, X-ray image has distortion in many parts because it is focusing on bones rather than other, However, when dentist needs to make decision analysis, he does that by using X-ray and many opinions can be judged by looking closely on it like (inflammation, infection, tooth nerve, root of the tooth…). This paper proposes on new suggested technique by applying multilayers of histogram equalization (HE) and contrast limited adaptive histogram equalization (CLAHE) in order to make high contrast of X-ray, this technique provides very satisfied results and smooth intensity which leads to high clear X-ray image, by using Python3 and OpenCV.&lt;/span&gt;&lt;/span&gt;
Impact of Using Parallel Text Strategy on Teaching Reading to Intermediate II Level Students

The purpose of this study is to examine the impact of parallel reading text (English and Arabic) on English as a Foreign language (EFL) Intermediate II level students’ at Birzeit University in terms of reading comprehension, vocabulary retention, and sentence structure awareness. The sample for this study is 38 undergraduate students of the aforementioned level in two class sections during the fall semester of 2019-2020. One reading text from the course textbook was selected for this experimental study. The controlled group was instructed with an English only reading text while the experimental group used a parallel text of the same reading passage. A pretest on the reading text was used as an instrument to measure the reading skills of vocabulary, reading comprehension, and sentence structure prior to teaching the text for both sections. Six weeks later, a post-test was administered to both groups to assess the impact of parallel reading text in comparison to monolingual English text on students’ reading skills. Results of the post-test showed an increase in the average scores of both groups. There was a noticeable increase of the average scores in the vocabulary section and sentence structure awareness of the post-test among students of the experimental group compared to the average scores of their peers in the controlled group. Nevertheless, the results did not reveal a significant difference between using the two techniques in regard to reading comprehension and sentence structure awareness.
Writing as distributed sociomaterial practice – a case study

Studies concerning the practices of writing in real-world
HUMAN IDENTIFICATION BASED ON FACE RECOGNITION SYSTEM

Due to the great electronic development, which reinforced the need to define people's identities, different methods, and databases to identification people's identities have emerged. In this paper, we compare the results of two texture analysis methods: Local Binary Pattern (LBP) and Local Ternary Pattern (LTP). The comparison based on comparing the extracting facial texture features of 40 and 401 subjects taken from ORL and UFI databases respectively. As well, the comparison has taken in the account using three distance measurements such as; Manhattan Distance (MD), Euclidean Distance (ED), and Cosine Distance (CD). Where the maximum accuracy of the LBP method (99.23%) is obtained with a Manhattan and ORL database, while the LTP method attained (98.76%) using the same distance and database. While, the facial database of UFI shows low quality, which is satisfied 75.98% and 73.82% recognition rates using LBP and LTP respectively with Manhattan distance.
Educational Administrators’ Facing COVID-19 Measures In Paraguay

Around the world COVID-19 has forced governments to take measures that have so far affected education systems, in various ways. Face-to-face interactions have been disrupted in around 70% of educational institutions as per reported by UNESCO (2020). Due to the pandemic, authorities in Paraguay adopted early measures to prevent the spread of the virus which in turn have affected educational institutions greatly. This article reports an analysis of educational administrators’ institutional perspectives in light of the challenges presented by quarantine measures and considering elements such as infrastructure and access to technology, teacher training, student and parent limitations. A mixed quan-qual approach was followed using closed and open-ended questionnaires. The sample included 110 educational administrators from public and private institutions at all levels throughout the country. Results of this study report that when the quarantine started, educational institutions had difficulty migrating to distance learning. Such difficulties were: limited access to the Internet, poor training in the use of and access to educational ICT. Opportunities to invest in infrastructure, train teachers and rethink education were also noted. These results demonstrate the need for greater and better access to educational technologies by the main educational actors in the country to guarantee equal academic opportunities.
Sentiment Analysis Techniques and Application-Survey and Taxonomy

Nowadays, social media platforms, blogs, and e-commerce are commonly use to express opinion on politics, movies, products, education respectively; for election forecasting, business boosting and improvement of teaching and learning. As a result, data generation becomes easier; producing big data which requires appropriate techniques and tools to analyse easily, accurately and timely. Thus, making sentiment analysis very demanding research area. This study will investigate on what basis (sentiment classification level) or area of application (data source) do supervised machine learning approaches particularly Support Vector Machine (SVM), Naïve Bayes, and Maximum Entropy algorithms, and other technique-lexicon-based approach give the best result in sentiment analysis. Based on the review of the literature there is a contradiction on the point that SVM generated the best result in analyzing student sentiment on document level. This study also discovers that sentiment analysis differs from system to system based on polarity (types of the classes to predict: positive or negative, subjective or objective), different levels of classification (sentence, phrase, or document level) and language that is processed. This research produces a taxonomy which serves as a guide for the choice of techniques in sentiment analysis. The taxonomy explores the sentiment classification levels and data preprocessing stages. It also explores that sentiment analysis techniques were organised in to three (3) groups; Machine learning, Lexicon and hybrid or combination. The machine learning techniques were sub-grouped in to two (2) namely; supervised and unsupervised. The supervised were organized in to two (2): Classification and Regression. un-supervised machine learning techniques includes clustering and association. The clustering technique consist of k-means. Decision tree which is a classification based under supervised type of machine learning technique consist of random forest,(Akinkunmi, 2019) while the ruled-based classifiers consist of confidence criterion and support criterion. The commonly used tools are Weka, Python compiler, and R programming tool.
Developing an Intelligent Framework for Improving the Quality of Service in the Government Organizations in the Kingdom of Saudi Arabia

The Kingdom of Saudi Arabia is enhancing the services and applications in government organizations through the number of systems that generate a massive amount of data through Big Data technology.Recently, the Global Artificial Intelligent Summit 2020, Saudi Data and Artificial Intelligence Authority (SDAIA), NEOM have launched an Artificial Intelligence (AI) strategy that aligns with the Kingdom Vision 2030.AI opens a wide door for opportunities and new strategies that will narrow the gap in the skillset of individuals and promote research and innovation in the IT industry.Organizations lack advanced techniques to evaluate the performance of individuals and departments that supports improving the quality of service.The introduction of AI-based applications in the government and private sectors will facilitate decision-makers in tracking and optimizing the efficiency of departments and individuals.This research aims to develop an intelligent framework for government organizations to improve the quality of services rendered to customers and businesses.In addition, it highlights the importance of AI policies in archiving metadata.This paper presents a framework for an organization that contains Chatbot, Sentiment Analysis, and Key Performance Indicators to improve the services.A synthetic dataset is employed as a testbed to evaluate the performance of the framework.The outcome of this study shows that the proposed framework able to improve the performance of organizations.Using this proposed framework, organizations can build a mechanism for their workforce to retrieve meaningful information.Moreover, it provides significant features include efficient data extraction, data management, and AI-based security for effective document management.
A Change Detector for Prior Probabilities of Classes

The majority of current concept drift detectors focus on the results of a base classifier. But if there is a change in the data distribution or in the prior probability of the classes, these methods are unable to identify these types of change. This paper proposes Prior Probability Change Detection Method (PCDM), a method suited to identify changes in the prior probabilities of the classes. It works by associating traditional drift detection methods to analyze how the instances belonging to each class changes in time. Experiments in 24 artificial datasets of six generators indicate that PCDM presented the best results considering the sensitivity metric, the Matthews Correlation Coefficient, and the F1 score without losing any performance in the specificity metric.
Design of Nutritional Status System for Stunting Early Prevention

Based on the Electronic Community-Based Nutrition Recording and Reporting (e-PPGBM) as of July 20, 2019, it shows that the prevalence of stunting in East Java has increased.One district that has a high stunting rate in East Java is Jember Regency.In Jember Regency, 2017, the prevalence of stunting was recorded at 17.73% or as much as 29,020 children under five.The causes of stunting can be started from nutritional status, from the process of fetal growth and development in the womb to a child aged 2 years.This process is influenced by the physical condition and health of the mother during adolescence.To prevent this, technology can be applied as a medium of education, information, monitoring, or stunting prevention screening.Therefore, this study aims to design a system that can screen the nutritional status of young women, pregnant women, nursing mothers, infants, and toddlers.The system stores data on the results of medical examinations (user history), reports user records and provides advice or education on the results of records that have been carried out in the system.The input variables used were data on examination results and nutritional status in accordance with stunting management standards.The system designed by researchers use the Prototype system development method.The system was designed to be called the Web-Based Early Stunting Prevention Application (STEP-A).The system designed has been accepted and running well.The system has been able to provide health solutions related to nutritional status that has been inputted according to health standards.
An efficient method for stamps recognition using Haar wavelet sub-bands

The problem facing certain organizations such as insurance companies and government institutions where a huge amount of documents is handled every day, hence an automated stamp recognition system is required. The image of the stamp may be on a different background, with different sizes, and suffers from rotating in different directions, also, the appearance of soft areas (patches) or small points as noise. Thus, the main objective of this paper is to extract and recognize the color stamp image. This paper proposed a method to recognize stamps, by using a technique named Haar wavelet sub-bands. The devised method has four stages: 1) extracts the stamp image; 2) preprocessing the image; 3) feature extraction; and 4) matching. This paper is implemented using C sharp (Microsoft Visual Studio 2012) programming language. The experiments conducted on a stamp dataset showed that the proposed method has a great capability to recognize stamps when using Haar wavelet transform with two sets of features (i.e., 100% recognition rate for energy features and 99.93% recognition rate for low order moment).
Tarihî Sözlüklerin Tanım ve Tanıklarında Metinlerarasılık

Each dictionary affects those to be written thereafter , as well as being influenced by those written before.Dictionaries use similar language materials.In literary texts each discourse gives way to the next , and, to a greater or lesser degree, every literary text repeats what has previously been written.There is no definite opinion on the level of intertextuality between dictionaries, on the extent to which a dictionary can be influenced by other dictionaries, nor on what 'intertextuality' in dictionaries is, and what is related to 'copyright' .Studies related to this topic are typically more concerned with copyright and ethics.This study deals with issues such as the extent to which definitions in dictionaries are similar to each other, the timing of the preparation of a new dictionary, whether the copying -in whole or in part -of individual definitions given in previous dictionaries is a copyright issue, and whether similarities or differences should be accepted as intertextuality.
The Component Counts of Random Injections

A model of random injections is defined which has domain $A\cup B$ and codomain $A\cup C$, where $A$, $B$ and $C$ are mutually disjoint finite sets such that $|B|\leqslant |C|$. The model encompasses both random permutations, which is the case $B=C=\varnothing$, and random maximum matchings of a complete bipartite graph, which is the case $A=\varnothing$. The possible components of random injections are cycles and paths. Results on the counts of cycles and paths of different sizes are obtained for this model.
The Using of Short Stories to Enhance Students’ Reading Comprehension

The study uses classroom action research. This study also to solve the problems in the class and it also has a cycle with four steps. The data were collected by observation, learning test results, and documentation. This study involved 35 students in eight grade of SMPN 5 Samarinda. This study was carried out in one cycle. It also showed that there is an enhancement in students’ learning results. In addition, it can be said that the use of short stories during the teaching and learning process is very effective to enhance students’ reading comprehension. This is due to the enthusiasm of students to join the process and short stories that are exciting to read. Hence, the students’ mean score indicated that there is an enhancement during the teaching and learning process using short stories. Using short stories as teaching material and strategy in teaching is a very good way, especially to enhance their reading comprehension. This is because short stories provide motivation through moral lessons and get students involved in learning activities. Short stories also give students time to interact with the text by reading the whole story from various short stories. Besides, short stories are also exciting because short stories are very diverse and it enriches students’ vocabulary. Finally, short stories also make students think critically through what is conveyed by the stories.
Formation of social-economic competencies in the students of technical and technological colleges

Lazorenko S. A. Information and educational environment of higher education institution as a basis for the development of information and digital culture of future specialists in physical culture and sportsThe latest trends in society require the development of the education system, in particular the training of future specialists in physical culture and sports (FC&S) on the basis of information technology, the creation and operation of a proper hightech and high-quality information and educational environment.Its importance has recently been growing and qualitatively influencing the process of formation and development of information and digital culture of future specialists in physical culture and sports.As part of the global educational space there is a single space of the education system, which as a component includes the information and educational environment of higher education, which is a set of information, technical, educational and methodological support with established links and connects the subjects of the educational process.The information and educational environment of a higher education institution should be perceived as the integration of the electronic campus of the educational institution, educational process management tools, pedagogical technologies designed to form an intellectually developed creative personality of a specialist in physical culture and sports.skills for a successful life and future professional activity in the information society.The information and educational environment includes a library of electronic educational resources (electronic textbooks, manuals, methodical recommendations, dictionaries, reference books, laboratory workshops), which: are distributed by branches; built on the basis of Web-technologies; can be used for various organizational forms of training; provides for the availability of reference and search system; has a repository of external electronic resources.This involves the organization of training as an active process of acquiring knowledge that allows to develop and form a higher level of understanding and awareness of phenomena, processes, objects being studied, in terms of combining information resources and joint activities to achieve the goal.