Reviewerly/exHarmony huggingface dataset:
Geo park Area Of Tourism Products and Information Center in Kintamani, Bali

Tourism Information Center and Product Showcase is a place that functions to promote, inform and sell tourism prod-ucts in Kintamani.The function of this place is to inform the tourists who visit Batur Geopark so they can be more familiar with tourism products, which are divided into tourism products and goods products. Tourism products accommodated in this place are tourism object, tourism attraction, and service products, while for goods product accommodated are culinary products, handicrafts, and souvenirs. There are three important elements in designing: function, structure and aesthetic. From these elements, the aesthetic element is an element that distinguishes architecture from other design science. In order to achieve aesthetic element, there are 6 principles: (1) Unity, (2) Balance, (3) Proportion, (4) Scale, (5) Rhythm, and (6) Emphasis. In designing Information Center and Tourism Product Showcase of Batur Geopark in Kintamani the principles mentioned are applied to the building façade elements.&#x0D; Index Terms— information center and tourism product showcase, facade, aestheticsu
Text as a Game: Modern Strategies for Working with Texts in Future Teachers’ Training (on L. Frank Baum’s tales “American tales”)

The article deals with modern strategies for working with literature in the future teachers’ training process, especially in work with tales. Suggested technologies make it possible to move away from traditional text analysis, to offer interesting interpretations as well as to focus on details. A text comes to life as it receives new interpretations, and visual ones complement the verbal content. This strategy helps make the reading more stimulating. It helps unleash and develop students’ analytical and creative potential: interpret scientific texts, create a lapbook and scrapbook. The examples are discussed on the material of Baum’s tales, “American Tales”, which is a fascinating and original phenomenon of American literature for children, and it provides a considerable space for interpretation. These tales are bright, interesting, and funny and allows to suggest to play with text, details, characters. Such game is impossible without attentive reading and understanding the main ideas of the text. The authors of the given manuscript recommend the following methods of working with texts as calligrams, hero pyramid, mind mapping, six thinking hats by E. Bono, etc. As a result, students begin to read literature more carefully, pay attention to details and better memorize certain episodes. The success of applying holographic technologies in dealing with literature is proved. Thus, the following skills like reading, creative thinking, critical thinking, the ability to express thoughts have been developed as well as the fear of misinterpretation of texts has disappeared.
Features of the Motivation of Russian and Foreign Students Studying at the University

The importance of the problem of motivation in training a specialist is dictated by the qualitatively changing conditions of modern society and the action of those new requirements that are imposed on the learning process and the formation of professionally significant competencies.This predetermines the restructuring of education in general and each of its aspects, especially in the training of future specialists aimed at the successful completion of educational activities, the manifestation of professional and creative persistence in solving difficult problems and realizing their potential.Basing on the analysis of scientific sources, we can formulate the purpose of our study, which is to acknowledge the features of the motivational complex of Russian students in comparison with foreign ones studying in universities in our country.Basing on the results, we came to the conclusion that there are still differences in the characteristics of the motivational complex of the selected groups.Russian students are more focused on acquiring professional competencies that will ensure their future success and self-realization in their chosen profession.For foreign students from the near abroad, the most significant is pragmatic motivation with a focus on personal prestige in their ethnic group.The formed optimal motivational complex ensures the individual's achievement of success in the course of constant competition with himself, in the desire to achieve new, higher results in comparison with his previous ones.The process and result of the development of the complex under consideration has a decisive influence on the professional development of students, future specialists.
Desain Permainan 3D Puzzle Dengan Bentuk Hewan Khas Kalimantan

Game is a children’s growth and development activities that create a sense of joy and pleasure, also can become a place to channel the feelings that exist in the children. In design this product there are problems that must to be solved like how to make 3D puzzle by bringing the theme of native animals from Borneo that suitable to the standard of terms making Educational Game Tools, with a level of difficulty that is able to be understood by children. 3D puzzle games with native animals from Borneo shape has created with the intention of children can be expected to have skills in problem solving, reasoning, and understanding the pictures or shapes from the puzzle arrangements. The design methodology that used on the product is the methodology that developed by Vinod Goel (1995) which divided into 3 stages such as preliminary design, design development, and final design &amp; development. Results from the design analysis obtained, the authors use laser techniques to simplify the manufacturing process and the materials that has light weight light, resistant to water, also made according to the standard of making product Educational Game Tools in order to make a safe games, that suitable for the age of the children, easily to fit separate pieces together, and follow the children's anthropometric tables based on survey results. The 3D puzzle game of this product chooses 8 types of native animals from Borneo, that namely known as Kucing Merah, Bekantan, Linsang, Beruang Madu, Burung Enggang, Pesut Mahakam, Gajah Kerdil, Lutung Merah. This game also provide the existence of the animal name cards from Borneo
A Case Study on Hospital Readmission Prediction Using Deep Learning Algorithms on EHRs

In this paper, focus is made on predicting the patients who are going to be re-admitted back in the hospital before discharge using latest deep-learning algorithms is applied on the electronic health records of patients which is a time-series data. To begin with the study of the data and its analysis this project deployed the conventional supervised ML algorithms like the Logistic Regression, Naïve Bayes, Random Forest and SVM and compared their performances on different portion sizes of dataset. The final model built uses deep-learning architectures such as RNN and LSTM to improve the prediction results taking advantage of the time series data. Another feature added has been of low dimensional descriptions of medical concepts as the input to the model. Ultimately, this work tests, validates, and explains the developed system using the MIMIC-III dataset, which contains around 38000 patient’s information and about 61,155 patient’s data who admitted in ICU, duration of 10 years. The support from this exhaustive dataset is used to train the models that provide healthcare workers with proper information regarding their discharge and readmission in hospitals. These ML and deep learning models are used to know about the patient who is getting to be readmitted in the ICU before his discharge will help the hospital to allocate resources properly and also reduce the financial risk of patients.&#x0D; In order to reduce ICU readmission that can be avoided, hospitals have to be able to recognize patients who have a higher risk of ICU readmission. Those patients can then continue to stay in the ICU so that they will not have the risk of getting admit back to the hospital. Also, the resources of hospitals that were required for avoidable readmission can be re-allocated to more critical areas in the hospital that need them. A more effective model of predicting readmission system can play an important role in helping hospitals and ICU doctors to find the patients who are going to be readmitted before discharge. To build this system here we use different ML and deep-learning algorithms. Predictive models based on huge amounts of data are made to predict the patients who are going to be admitted back in the hospital after discharge.
ONLINE TABLE RESERVATION WITH PRE-ORDERING

Online Table Reservation System is aweb-based solution for a Restaurant’s Pre-Ordering module; automation and digitalization of table reservation process along with pre-ordering of food and parking spot allocation. This system would allow restaurants to increase the scope of business and save a lot of time with table reservations as previous bookings are open. The system also makes it possible to quickly and easily control an online menu that customers can search and use with only a few clicks to place orders. Recommendations would be based on user activation and specifications. A new user would be recommended of the restaurants available best sellers while a regular would be recommended based on their previous food selections. Their starter and other food selections would also raise recommendations. The table will be reserved along with a parking space on the appropriate time-slot so that users do not face inconvenience. Using this system as a building block, we can develop a smartphone-compactable software application
Mining Frequent Itemsets Without Candidate Generation In Machine Learning

Mining of regular trends in group action databases, time series databases, and lots of different database types was popularly studied in data processing research. Most previous studies follow the generation-and-test method of associate degree Apriori-like candidate collection. In this study, we seem to propose a particular frequency tree like structure, which is associated degree of prefix-tree like structure that is extended to be used for compressed storage, crucial knowledge of the frequency pattern, associated degrees create an economic FP-tree mining methodology, FP growth, by the growth of pattern fragments for the mining of the entire set of frequent patterns. Three different mining techniques are used to outsize the information which is compressed into small structures such as FP-tree that avoids repetitive information scans, cost. The proposed FP-tree-based mining receives an example philosophy of section creation to stay away from the exorbitant age of several competitor sets, and an apportioning-based, separating and-overcoming technique is used to divide the mining task into a contingent knowledge base for restricted mining designs that effectively reduces the investigation field.
Ensemble Distributed Search-FSGM-CRD Compressed Cache Algorithm for Large Datasets

Frequent sub-graph mining (FSM) is a alternative of frequent pattern mining where patterns are graphs. Among the entities, graph based representation is utilized to effectively represent the complex relationships. Various graph mining techniques are developed from the past many years, most the challenging tasks in graph mining is frequent sub-graph mining (FSM). In FSM many of the existing algorithms consider only graph based structure, the relationships based on entities involved and strength is not considered. It is very important to handle the complex and huge data. There is very huge demand in distributed computational approaches. In this paper, An Ensemble Distributed Search-FSGM-CRD Compressed Cache Algorithm is developed and implemented to find frequent sub graphs
A Study on GBW-KNN Using Statistical Testing

In the 4th industrial revolution, big data and artificial intelligence are becoming more and more important. This is because the value can be four by applying artificial intelligence techniques to data generated and accumulated in real-time. Various industries utilize them to provide a variety of services and products to customers and enhance their competitiveness. The KNN algorithm is one of such analysis methods, which predicts the class of an unlabeled instance by using the classes of nearby neighbors. It is used a lot because it is simpler and easier to understand than other methods. In this study, we proposed a GBW-KNN algorithm that finds KNN after assigning weights to each individual based on the KNN graph. In addition, a statistical test was conducted to see if there was a significant difference in the performance difference between the KNN and GBW-KNN methods. As a result of the experiment, it was confirmed that the performance of GBW-KNN was excellent overall, and the difference in performance between the two methods was significant.
Adopting and Imlementation of International Finacial Reporting Standard In Iraq Atheoretical Perspective

Proper adoption of International Financial Reporting Standard (IFRS) has been inextricably linked to global financial market penetration and economic development. Yet most of the developing countries still face some challenges in its adoption. Various studies have examined the benefits and challenges of IFRS adoption.&#x0D; The organization and culture, resistance to change, knowledge of IFRS and government policy has dominated the discourse on the challenges of IFRS adoption in developing countries. As we consider the shift in discourse towards the developing countries, this paper explore the empirical analysis studies that analyzing the challenges hindering the proper adoption of IFRS, and its implication for financial market development and economic growth. This paper develops the main issues that pose a challenge to IFRS adoption in developing country like Iraq by reviewing the existing empirical evidence in the literature
MODERN APPROACHES TO THE ISSUE OF MENTORING

The 21st century school should have competitive specialists who can provide students with quality education. How can this be achieved? It is necessary to create such an active environment so that teachers feel motivated to develop and improve professionally; this contributes to the cooperation of the mentor and the mentee. This article raises the issue of mentoring, which has recently begun to be actively implemented in the education system of the Republic of Kazakhstan. The authors consider the differences between mentoring and coaching, describe in detail the stages of the collaboration, their goals and set tasks. The article is based on the practical experience of the authors gained in the process of working with mentees in the school.
An Efficient Lossless Compression algorithm for Medical images

Medical image compression plays a vital role in diagnosis of diseases which allowing manipulation, efficient, transmission and storage of color, binary and grayscale image. Before transmission and storage, a medical image may be required to be compressed. The objective of the study is to develop an efficient and effective technique for digital medical images which alleviates the blocking artifacts from grayscale image while retaining all relevant structures. In this paper, we demonstrate a highly engineered postprocessing filtering approach has been designed to remove blocking effects from medical images at low bit rate. The proposed technique is comprised of three strategies i.e. 1) a threshold valve scheme which is used to capture the pixel vectors containing blocking artifacts. 2) Blocking artifacts measurement techniques. The blocking artifacts are measured by three frequency related modes (low, Moderate and high frequency model). 3) A directional filter which is used to remove over-smoothing and ringing artifacts near edges of block boundary. The algorithm is tested on digital medical grayscale images from different modalities. The experimental results illustrate that the proposed technique is more efficient on the basis of PSNR-B, MSSIM, and MOS indices than the state-of-the-art methods. The proposed algorithm can be seamlessly applied in area of medical image compression which high transmission efficiency and acceptable image quality can be guaranteed.
A Mobile Tutoring System for Teaching Operators in Java (JO-Tutor)

This paper introduces a mobile tutoring system for teaching Java operators carried out in a mobile learn -ing  environment. For college students to overcome  the difficulties they face. The application offers the  subject of Java operators and administers routinely generated problems for the students to solve and right  their wrong Answers. This application generates tests to determine the student’s understanding of the les -son introduced and the results obtained. A preliminary evaluation learn about was once carried out to look  at the impact of using the mobile tutoring system on  the performance of college students enrolled in Java  course in the institute of computer sciences and In -formation technology at El Shrouk academy, Cairo,  Egypt. The results confirmed a positive impact on the  evaluators.
Perception towards formative assessment in selected English pronunciation classes among English majors

This research aimed at discovering the students’ perception towards formative assessment conducted in the pronunciation classes at Mien Dong University of Technology (MUT). A total of one hundred and eighteen university freshmen participated in answering the questionnaire and semi-structured interview questions. The quantitative data gained from the questionnaire were analyzed by SPSS in terms of descriptive statistics, while the qualitative data were analyzed using the content analysis approach. The results showed the students’ proper awareness of formative assessment in general and their positive perception towards the application of formative assessment tasks. However, despite the advantages, this application was still admitted containing some disadvantages.
The Content Of Vocational Guidance In Out-Of-School Activities In Biology

In the article, the work of vocational guidance of students in extracurricular activities is carried out through scientific and social projects, experiments, internships (industrial and social), excursions, clubs, classes in clubs, etc.
Restricting Freedom of Expression for Religious Peace: On the echr’s Approach to Blasphemy

Abstract The ECtHR’s ruling in ES v Austria raises questions about the Court’s methodology in blasphemy cases. The ECtHR interprets Article 9 of the Convention as including a right to respect for religious feelings and presumes that ‘justified indignation’ may disrupt ‘religious peace’. Therefore, expression counting as ‘gratuitously offensive’ to religious feelings is not granted protection under Article 10. es v Austria reveals certain problems that arise when criticism of religion is driven by hatred and when religious insult merges with political criticism. This article argues that Strasbourg’s approach to blasphemy increases uncertainty about the boundaries of free speech. The terms ‘religious feelings’ and ‘religious peace’ are scrutinised, and the political context of es v Austria analysed. It concludes that by failing to distinguish clearly between blasphemy and incitement to hatred, and by upholding the criminalisation of questioning the Prophet Muhammad’s morals, the Court has jeopardised freedom of expression in Europe.
Human Development Equally Important For Economic Development

Many States are failing to keep the momentum up in pushing the growth rate either because their social capacity is not up to the brim and people are struggling to get two ends meal. What the States are needed to keep continuing with investment at ever increasing rate and deal social priorities differently? There are many States which face the wrath of anti-incumbency every five years the reason for this larger section of the people remain untouched with the development schemes. It is their bad luck that neither did they get the benefit of moving up in the social hierarchy nor they are covered with some employment guarantee scheme. The vulnerability during the pandemic have further added the burden of making the people socially strong. Education and health both have gone through serious setback.
Reflecting on design principles in the context of virtual reality learning experiences in astronomy and science education

Virtual reality (VR) technologies have the potential to profoundly transform learning activities in astronomy and science through new forms of perceptual engagement and bodily participation. Since advancements in technology and education drive change in each other, researchers have started to explore opportunities and challenges of using VR in (in)formal learning environments. While research on VR from technology perspectives is extensive, there are relatively few attempts to explore learning-oriented design considerations with VR tools. This study is grounded in the education and public-outreach program of the Australian Research Council Centre of Excellence for Gravitational Wave Discovery (OzGrav). The OzGrav-team is an interdisciplinary team of science educators, VR developers, digital artists and astrophysicists that have developed VR outreach programs and school incursions in astronomy. The goal of this study is to identify the experiential affordances of VR in informal learning contexts and to reflect on potential design principles for VR learning experiences in astronomy and science. To articulate issues related to design and learning with VR from multiple perspectives, we unpack critical design decisions of the OzGrav VR learning resources in the form of a dialogue between VR-practitioners and educational researchers. The dialogue draws on primary data from focus-group-interviews with the OzGrav-team. We supplement the dialogue with audio-visual material of a VR experience about the virtual universe. Our findings centre on aspects of collaboration and social interaction in VR-learning, negotiating roles while being an observer/participant in the VR-experience, embodiment in an immersive VR environment, finding a balance between visual richness and accessibility of VR-experiences, limitations of what VR environments can visualize. As the use of VR learning environments gains momentums, our findings contribute to a deeper understanding of the new learning contexts that VR technology can create in astronomy and modern science education.
Correction to: 3DTDesc: learning local features using 2D and 3D cues

A correction to this paper has been published: https://doi.org/10.1007/s00138-021-01200-x
Don Heirman's Records – A Visit to His Office in New Jersey

As a result of Don Heirman's passing in October of 2020, I was offered an opportunity to examine some of his career records located at his home in New Jersey. A request for travel funding was sent to the EMC Society President (Alistair Duffy) and a favorable response was received (after a high-level review and approval from IEEE Headquarters!). Arrangements were made to meet Art Wall and Ed Hare at Don's house on the East Coast. Art is a long-time friend of Don's and is the executor of Don's will and estate. Ed Hare is also a long-time friend of Don's and is presently the Vice-President of Standards for the EMC Society. Once I arrived at Don's domicile, I also met Andrew Rose who was Don's computer consultant and is actively helping Art with his executor responsibilities.