Reviewerly/exHarmony huggingface dataset:
Identifying and Evaluating Atypical Traits in Ancient Egyptian Glass Vessels attributed to the New Kingdom using Raw Data Analysis and Expert Assessment

The descriptive data pertaining to the remaining, largely intact, glass vessels produced in ancient Egypt between the reigns of Tuthmosis IV (1401–1391 BCE) and Pinudjem II (959–945 BCE) contained in Die Glasgefäße im Alten Ägypten [The Glass Vessels in Ancient Egypt], was extracted and standardized to create a dataset that could be analysed to determine the most typical and atypical features of vessels attributed to the New Kingdom in the corpus. Seven descriptive categories were assessed based on the percentage of incidence to determine if a vessel could be defined as statistically “atypical.” An expert’s evaluation was employed as a second assessment method. The two methods identified 76 vessels from a total number of 320 vessels and agreed on 16 vessels considered as atypical, all of which had little or no provenance information. The resulting 76 vessels identified as “atypical” by the combined methods were subsequently compared with the respective provenance information and current location to determine patterns of collection and distribution throughout the world. The data showed that the Americas held the largest number of vessels that had little or no provenance data, including those held in private collections. The combined atypical tests identified that the Americas hold the largest proportion of atypical vessels. It is not the intention of this research to undermine the authenticity of vessels but to determine if data methods can be used to identify atypical traits in archaeological collections and to encourage the application of archaeometric testing to provide supporting information on statistically rare objects.
The role of academic leaders in activating the social participation in the Imam Abdulrahman Bin Faisal University: دور القيادات الأكاديمية في تفعيل المشاركة المجتمعية في جامعة الإمام عبد الرحمن بن فيصل

This study aims to uncover the role of academic leaders in activating the social participation in the Imam Abdulrahman Bin Faisal University and is conducted from the student's point of view and to identify the significance of differences according to varying criteria (gender, academic track, and the level of study.(To achieve this, the researcher used the descriptive, analytical approach and constructed the questionnaire as a data collection tool. The questionnaire was composed of (50) items covering five domains: (Partnerships with families, Community service, Community resource development, Volunteering, Public relations and communication within communities). The study involved the entire student population consisting of both male and female students attending the Imam Abdulrahman Bin Faisal University. Of approximately (36,820) students, a random sample of (1841) students was generated and represent 5%, and the data was processed statistically by SPSS. The study reached several results, the most significant of which are: • Members of the sample study rated the role of academic leaders in activating community participation with a low level in all fields of study. 2.There are statistically significant differences between the views of the sample study in all areas due to gender variables favoring females. There are also differences according to the academic track which favors the scientific colleges. In light of the results, the researcher advises the following recommendations: - Initiate organizing field visits by students to schools, companies, associations and medical centers. Arranging tours to the directors of some companies and institutions of the university may play a vital role in supporting different disciplines respective to their nature. - Issue regulations for voluntary community work at the university supported by a list of cooperating and related authorities, incentives, violations, and penalties.
Machine Learning Algorithms Reveals Country-Specific Metagenomic Taxa from American Gut Project Data

In recent years, microbiota has become an increasingly relevant factor for the understanding and potential treatment of diseases. In this work, based on the data reported by the largest study of microbioma in the world, a classification model has been developed based on Machine Learning (ML) capable of predicting the country of origin (United Kingdom vs United States) according to metagenomic data. The data were used for the training of a glmnet algorithm and a Random Forest algorithm. Both algorithms obtained similar results (0.698 and 0.672 in AUC, respectively). Furthermore, thanks to the application of a multivariate feature selection algorithm, eleven metagenomic genres highly correlated with the country of origin were obtained. An in-depth study of the variables used in each model is shown in the present work.
DEVELOPING A CHILD'S AUTHENTIC LEARNING EXPERIENCE THROUGH MEDIA: TEACHERS' APPROACH

The article analyses the development of an authentic experience for primary school students as a result of experiential learning. Possibilities of developing children’s authentic experience through media are discussed, as the ability to find, perceive and critically assess and use information and media content, as well as to express oneself, are one of the most important human abilities in the 21st century. The article presents a qualitative research of the attitudes of primary education teachers about the development of a child’s authentic experience by using media. The following research revealed that the method of accumulating authentic experience has a positive effect on students’ learning motivation, allows to develop critical, creative thinking, constructs a real connection with teaching materials and practice, enables students to operate actively, independently, and be responsible for their own learning. The research highlighted the advantages and disadvantages of developing an authentic learning experience through media.
MODFAT: Moving Object Detection by Removing Shadow Based on Fuzzy Technique with an Adaptive Thresholding Method

Nowadays, in this technology centric world, gadgets have become handy due to miniaturization. Especially cameras are widely used device for many aspects, one of the common applications is human behavior identification and intelligent video surveillance. In a such application moving object detection in complex dynamic scene is a tedious task due to various challenges such as occlusion, background illumination variation and shadow. Shadows are created in light occlusion in the object it has major impact in accurate object detection. In this paper, object detection with elimination of shadow is addressed. Many existing methods have failed in discriminating the actual moving object from shadow object very accurately. In order to overcome the limitations of existing methods, an improved fuzzy technique rule is used for shadow removal and an adaptive fuzzy thresholding is used for segmenting a foreground object in background. The proposed techniques are experimented with standard and our own datasets and also, it is compared with other existing approaches. Results of proposed method shows improved reliability.
Empirical Error Modeling Improves Robustness of Noisy Neural Sequence Labeling

Despite recent advances, standard sequence labeling systems often fail when processing noisy user-generated text or consuming the output of an Optical Character Recognition (OCR) process.In this paper, we improve the noise-aware training method by proposing an empirical error generation approach that employs a sequence-to-sequence model trained to perform translation from error-free to erroneous text.Using an OCR engine, we generated a large parallel text corpus for training and produced several real-world noisy sequence labeling benchmarks for evaluation.Moreover, to overcome the data sparsity problem that exacerbates in the case of imperfect textual input, we learned noisy language model-based embeddings.Our approach outperformed the baseline noise generation and error correction techniques on the erroneous sequence labeling data sets.To facilitate future research on robustness, we make our code, embeddings, and data conversion scripts publicly available.
Argumentation Mining: Techniques and Emerging Trends

By Argument we mean persuasion of a reason or reasons in support of a claim or evidence. In Artificial Intelligence computational argumentation is the field dealing with computational logic upon which many models of argumentation have been suggested. The goal of Argumentation Mining is to automatically extract structured arguments from the unstructured text. It has the potential of extracting information from web and social media, making it one of the most sought after research area. Some recent advances in computational logic and Machine Learning methods do provide a new insight to the applications for policy making, economic sciences, legal, medical and information technology. Different models have been proposed for argumentation mining with different machine learning methods applied on the argumentation frameworks proposed for this particular mining task. In this survey article we will review the existing systems and applications and will cover the three categories of argumentation models and a comparative table depicting the most frequently applied ML method. This survey paper will also cover the various challenges of the field with the new potential perspectives in this new emerging research area.
Improving The Seventh Grade Students' Summarizing Skills Of The Fiction Books Using The Ok5r Method At SMP Negeri 1 Tuhemberua

Summarizing fiction books is a person's activity to effectively present a long discourse in a short form so that it can represent the entire content of the reading text which contains writing based only on the imagination of the author or author. Fiction books in the form of short stories (short stories, novels, soap operas, dramas, drama films, comedy films, horror films, and action films and so on. The purpose of this study was to improve students' ability to summarize fiction books using the OK5R method. To achieve this goal, the researcher uses the Classroom Action Research method with the implementation procedure are (1) planning, (2) action, (3) observation, (4) reflection. This classroom action research activity was carried out in two cycles using data collection techniques, observation sheets and assessment sheets. The subjects of this study were students of class VII-A SMP Negeri 1 Tuhemberua in the even semester, totalling 20 students with 10 boys and 10 girls. The results of this study indicate that the first cycle with the lowest value is 40 and the highest value is 90 with an average value of 64.25. Meanwhile, in the second cycle, the lowest score is 75 and the highest one is 100 with an average value of 84.75. The results of observations by researchers in the first cycle of the first meeting were 47.05% and the second meeting was 64.70%, while in the second cycle the first meeting was 76.47% and the second meeting was 94.11%. The results of student observations in the first cycle of the first meeting were 67.18% and the second meeting was 69.47%, while in the second cycle the first meeting was 89.68% and the second meeting was 97.89%. Based on the results of the study, the researchers concluded that using the OK5R method can improve students' ability to summarize fiction books (short stories) in class VII-A Tuhemberua in the 2019/2020 Learning Year. Suggestions: 1) for students of SMP Negeri 1 Tuhemberua, the results of this study can motivate students in learning Indonesian, 2) for teachers at SMP Negeri 1 Tuhemberua, the results of this study can be used as a guide in learning the material for summarizing fiction books. Keywords: Summarizes, fiction books, OK5R method
Improvement of Grayscale Images in Orthogonal Basis of the Type-2 Membership Function

While analyzing different images, it is very important to identify similar and/or homogeneous areas and boundaries of the objects of interest.Certain ambiguity occurred at this step can be caused by physical characteristics of the used equipment and noise in the process of the image formation, on the one part, and by inaccuracy and fuzziness introduced during digital representation and by processing algorithms, on the other part.It is shown that transition of the features to a fuzzy space, followed by the use of orthogonal transformation and visualization of characteristics synthesized on the basis of their eigenvalues, improves reliability of the objects of interest identification during analyzing of the grayscale images.Informational capabilities of characteristics synthesized with the use of the method of singular decomposition of the type-2 features in a fuzzy space are considered from the aspect of improvement of the grayscale image quality.The obtained experimental results are shown on the example of the real microscopic images.
Adaptive position observer for moving object

Abstract The paper presents a new adaptive observer of the local coordinates of a moving object based on measurements of linear velocity, yaw angle (heading), and distance to a single beacon with known position. The conditions under which the algorithm is asymptotically stable are shown, as well as the states for which a robust estimate is reasonable to be used.
Public key cryptosystem based on multiple chaotic maps for image encryption

Image is one of the most important forms of information. In this paper, two public key encryption systems are proposed to protect images from various attacks. Both systems depend on generating a chaotic matrix (&lt;em&gt;I&lt;/em&gt;) using multiple chaotic maps. The parameters for these maps are taken from the shared secret keys generated from Chebyshev map using public keys for Alice and secret key for Bob or vice versa. The second system has the feature of deceiving the third party for searching for fake keys. Analysis and tests showed that the two proposed systems resist various attacks and have very large key space. The results are compared with other chaos based systems to show the superiority of these two proposed systems.
Freehand Drawing and Architectural Expression

The aspect of expression is very important in design ideas, amidst the pressure of programming and procedural thoughts nowadays. The expression is a performance that was born from the deepening of a strong identity that makes us further involvement. Freehand drawing is believed to be an important activity that cannot be separated from an architectural design process. Freehand drawing is proven to be an effort that will increase awareness to produce creative thoughts that remain logical. The natural and organic character of a freehand drawing with its flexibility will be able to express the unique value of each design idea. It is very different when compared to the stereotypical technical line of mechanics. This paper aims to discuss the role of freehand drawing in improving the quality of expression during the design process. The discussion was carried out through a qualitative descriptive analysis based on the experience of carrying out freehand drawing courses and several freehand drawing learning and practices. The topic of the role of freehand drawing in the digital age is very strategic because it reminds us of the importance of the role of balance cognition for the design process in general. Keywords: design; expression; freehand drawing; identity.
Goal-Oriented Requirements Engineering: State of the Art and Research Trend

The Goal-Oriented Requirements Engineering (GORE) is one approach that is widely used for the early stages of software development. This method continues to develop in the last three decades. In this paper, a literature study is conducted to determine the GORE state of the art. The study begins with a Systematic Literature Review (SLR) was conducted to determine the research trend in the last five years. This study reviewed 126 papers published from 2016 to 2020. The research continues with the author's search for scientific articles about GORE. There are 26 authors who actively publish GORE research results. Twenty-six authors were grouped into seven groups based on their relation or co-authoring scientific articles. An in-depth study of each group resulted in a holistic mapping of GORE research. Based on the analysis, it is known that most research focuses on improving GORE for an automated and reliable RE process, developing new models/frameworks/methods originating from GORE, and implementing GORE for the RE process. This paper contributes to a holistic mapping of the GORE approach. Through this study, it is known the various studies that are being carried out and research opportunities to increase automation in the entire RE process.
Implication Principles Of Carousel Brainstorming Strategy As An Effeciency Motivation For Improving Reading Comprehensionin Pandemic Era

This research was Constitutional law program students IAIN of Bengkulu that they haveless motivated and learning reading comprehension is bored, only 120 minutes in a week to study English at Faculty. The purpose of this research explain whether using Carousel Brainstorming Strategy can improve students’ Reading comprehension IAIN Bengkulu especiallyConstitutional law program students IAIN of Bengkuluin Academic year 2019/2020. Therefore, this research by Descriptive Qualitative and quantitative dataThe subjects instruments of this research were 30 students, consisted of females 23 and 7 males. The instruments of this research were reading tests, students observation checklists andlecturer observation checklist and fiels notes, and interview. The result of students mean score in Pre-assessment and every meeting, there are improvement in pre-assessment ( 50,1), The first meeting (62,43), and The second meeting (75,33). This research shows that using Carousel Brainstorming Strategy has successfully improved the students reading comprehension, the improvement was influenced by the used of interesting material chosen and lecturer’s participation toward the students.
Информационные технологии в образовании: от концепции информатизации до дистанционного обучения

In the light of modern events, when not only technological breakthroughs, but also life itself forces us to increasingly introduce computer technologies in all spheres of human activity – from leisure to scientific research – the author of the article suggests to look at the problem from a broad perspective in relation to the use of information technologies in education. The purpose of this article is not just to set a retrospective focus and identify the latest trends in the computerization of the educational process, but also to analyze the experience of previous stages of the introduction of information and communication technologies and evaluate them. This approach allows us to see the continuity and prospects of this process.
A stochastic mirror-descent algorithm for solving AXB=C over an multi-agent system

In this paper, we consider a distributed stochastic computation of AXB = C with local set constraints over an multi-agent system, where each agent over the network only knows a few rows or columns of matrixes.Through formulating an equivalent distributed optimization problem for seeking least-squares solutions of AXB = C, we propose a distributed stochastic mirror-descent algorithm for solving the equivalent distributed problem.Then, we provide the sublinear convergence of the proposed algorithm.Moreover, a numerical example is also given to illustrate the effectiveness of the proposed algorithm.
Optimalisasi Sistem Social Media Marketing untuk Membangun Awareness dengan Membuat Konten Online

The research explained about a sport event called Event Basket Pro that has been established since 2003, Event Basket Pro is one of professional basketball league in Indonesia and runs for approximately 8 months every season. Improvements are needed to make this event sustain, despite the fact that this event has operated for more than 15 years. Based on the research that was conducted using Soft System Methodology, it was found that Event Basket Pro having difficulties to create relevant digital marketing content related to their marketing target. The author suggested optimalizaton the system of social media marketing. In order to achieve it, according to the recommendation of conceptual model, every stakeholders had to play their role in planning, implementing and evaluation.
Обзор современных российских исследований, посвященных рефлексии и рефлексивности

This literature review systematizes 45 scientific papers on reflection and reflexivity, published from 2006 to the present. The definition of the terms is given, it is shown that most of the modern publications concern the sphere of reflection and reflexivity, associated with the problems of students and the personal aspects of these phenomena.
Parenting Program in Guiding Children to Learn Through Online Learning

The Covid-19 outbreak around the world has had an impact on various aspects of life, one of which is the education process, especially through face-to-face learning.Based on these problems, a policy emerged that learning changed from face-toface to learning at home via online (in the network).Based on this problem, requires parents to be able to guide their sons and daughters to study at home.This is a problem for parents who are not ready, because guiding children to study at home requires certain skills and skills, so that parents are able to use various appropriate strategies in guiding their sons and daughters to feel comfortable studying at home.The purpose of this study is to get an idea: 1) Readiness of parents in guiding her son learn through online, 2) Obstacles perceived parents in guiding her son learned through Online, 3) Impact of learning online to the habits children learn through Online.The method used is descriptive method, with interview data collection techniques, literature study and observation.Respondents were 10 families with the indicator having grade 1 or grade 2 school children.The findings of the study are: 1) The readiness of parents in guiding children during online learning was shown by increasing parental mastery of the use of learning technology, involvement in supervising the use of social media and conducting tutoring for children, 2) the obstacles faced by parents in guiding children to learn online, namely building a conducive learning atmosphere, building children's concentration and the complexity of the material provided by the teacher, 3) The impact of online learning on children's learning habits, namely creating a high enough dependence in the learning process, reduced children's learning independence and difficulties in measuring children's abilities.
A SYSTEMATIC REVIEW OF FREE WRITING TO TEACHING WRITING

This research aimed to find out the contribution of free writing technique to teaching writing. A systematic review method was applied in this research. Thesubjectof this research was five studies selected by inclusion and exclusion criteria. This research reviewed five published selected studies related to free writing technique in teaching writing from year 2010 to 2018.The researcher founds the related studies (journals) manually by using search engine google scholar with keywords searching “Free Writing technique” to find the journals and using zotero software as a tool to collect and select the journals.The researcher used thematic analysis to analyze the data.The research findings showed that freewriting technique contributes helps students to overcome fears of making mistakes in writing, release inner tension, reduce students’ writing anxiety, facilitate the students to focus in generating and exploring the ideas, make the students enjoyed the activity, and beneficial for learning English. Last but not least, free writing increase the students speed of writing and flow of thought. Moreover, it increase students’ writing fluency, improve students’ writing confidence. Keywords : Free Writing, Systematic Review, Writing