Reviewerly/exHarmony huggingface dataset:
Interpretable Machine Learning: Moving From Mythos to Diagnostics

Despite increasing interest in the field of Interpretable Machine Learning (IML), a significant gap persists between the technical objectives targeted by researchers' methods and the high-level goals of consumers' use cases. In this work, we synthesize foundational work on IML methods and evaluation into an actionable taxonomy. This taxonomy serves as a tool to conceptualize the gap between researchers and consumers, illustrated by the lack of connections between its methods and use cases components. It also provides the foundation from which we describe a three-step workflow to better enable researchers and consumers to work together to discover what types of methods are useful for what use cases. Eventually, by building on the results generated from this workflow, a more complete version of the taxonomy will increasingly allow consumers to find relevant methods for their target use cases and researchers to identify applicable use cases for their proposed methods.
Some Aspects of Face Recognition: Models, Algorithms, Methods, Systems, Applications

The purpose of the article is to research, analyze and consider the general problems and prospects of using existing approaches to face recognition (areas of application, features and differences). The research methodology consists of semantic analysis methods of the basic concepts in this subject area (theory and practice of pattern recognition, in particular, facial images). The article considers the existing approaches to the development of systems for face recognition. The novelty of the research is the solution of facial recognition problems to determine access rights and authentication. Conclusions. The existing problems analyzed and the prospects for using facial recognition algorithms are becoming more accurate. Facial recognition has become an important part of artificial intelligence because it is used in social media, digital cameras and smart home automation.
LibGuides: Virtual Learning Center: VR Experiences and Applications

On the 3rd Floor of the Library, students and faculty can get hands on training with the usage of fully immersive VR Headsets.
SISTEM INFORMASI INVENTARIS BARANG PADA PUSAT LABORATORIUM KOMPUTER STMIK NURDIN HAMZAH JAMBI

The education system has the obligation to organize education, research, community service activities, which are referred to as the Tri Dharma of Higher Education as stated in the National Education System Law Article 20 of 2003. The education system includes many elements, including one of which is the Laboratory . The laboratory serves as an important learning support infrastructure, primarily to provide scientific experience and motor skills to students. The three roles of the laboratory will be maximized when managed optimally as well.
IMPLEMENTASI SISTEM INFORMASI NOTULEN RAPAT MENGGUNAKAN METODE FIFO STUDI KASUS: PERUMDAM TIRTA BENGKAYANG

The use of a website based application system has become an administrative requirement for employees of Perumdam Tirta Bengkayang, West Kalimantan. Meetings that are held four times a month are the obligation of employees of Perumdam Tirta Bengkayang to evaluate the performance with the director to advance Perumdam Tirta Bengkayang for the people of Bengkayang district. The purpose of this study is to implement a website-based meeting minutes application system using the FIFO (First In First Out) method. The FIFO (First In First Out) method is a method for managing and manipulating meeting data, where the first data entered will be processed first.The meeting minutes application is presented to make it easier for employees to archive data online, so that every data can be accessed when connected to the internet. By using the CodeIgniter framework, it is able to produce a system that can be understood by the employees of Perumdam Tirta Bengkayang for the implementation of their work and this system has the ability to run on computers and smartphones so that the employees of Perumdam Tirta Bengkayang can access wherever they are. The final results of this study indicate that the meeting minutes system is beneficial for Perumdam Tirta Bengkayang and has been tested by several IT experts using black box and getting 100% valid status and 119.866 ms delay testing in the very good category for using the meeting minutes application. Keywords: Meeting Minutes Application, Black Box, CodeIgnitor, FIFO.
Efektivitas Pembelajaran Daring Terhadap Mata Pelajaran Matematika pada Siswa Kelas IV

Corona pandemic virus disease 2019 ( covid-19 ). conventional has disrupted the learning processThen required analysis of how this pandemic have a direct impact on the outcome of. student learningAlthough online learning can be implemented as a substitute for conventional, is learning but the changes have the direct effect on the outcome which has not known. student learningThe study aimed to identify the effectiveness of online learning during the pandemic and change the overall student learning in one class.This research to discovering whether online learning mathematics work for primary school student.Methods used aadalah qualitative compare in value all students in the first half with the odd in the same lessons, where in the first half of normal 1 learning to be carried out , while in the first half of the even online to be carried out .Data collection technique using interviews and documentation .The interviews and the purpose of comparing the students to study analyzed the results of the quantitative uses the technique .The research results show that of the 38 fourth grade students , about 97 % 37 students has experienced a fall in the value of the end of the semester .An example of this was caused by loss of learning activities face to face between teachers and their students , reduced review teacher supervision in the teaching process long distance learning students at the time , so that the thing is hinder the implementation of explanation and a dialogue between students and teachers.
TRAINING PROGRAMME DEVELOPMENT USING DESIGN SPRINT METHODOLOGY

Appears in: EDULEARN21 Proceedings Publication year: 2021Pages: 9099-9105ISBN: 978-84-09-31267-2ISSN: 2340-1117doi: 10.21125/edulearn.2021.1832Conference name: 13th International Conference on Education and New Learning TechnologiesDates: 5-6 July, 2021Location: Online Conference
A Typing Training System for Beginners Using a Mixed Reality Device

In order to learn keyboard typing skills effectively, we propose a system which can realize the following functions: (1) It indicates the key position to enter a next key so that a user can memorize key arrangement, (2) it suggests the appropriate finger to be used so that a user can learn correct fingering, and (3) it performs various productions such as sound and visual effects to keep users motivated. To realize the functions, we used a mixed reality device (HoloLens2) where a virtual object can be superimposed and displayed on objects in real world space. For our training system, a yellow plane object is displayed on the key to be entered. HoloLens2 can acquire 3D positions of user’s fingers in real-time, so that our system displays the red sphere object at the appropriate finger to be used. Keystroke information is transmitted from a keyboard to HoloLens2 via Bluetooth. Using this information, our system can display a visual effect when a user makes a typo. Moreover, it makes effective sounds when a user makes a typo or when he/she completes a single word entry, respectively. A comparative experiment was performed between our system and a typing practice application on the Web by 12 test users. As a result, it was shown that our system has a higher improvement rate in typing speed.
EVALUATION ON THE ENGLISH COURSE FOR NON-ENGLISH MAJOR POSTGRADUATES WITH THE APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) IN POST-PANDEMIC ERA

Information about the paper titled "EVALUATION ON THE ENGLISH COURSE FOR NON-ENGLISH MAJOR POSTGRADUATES WITH THE APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (ICT) IN POST-PANDEMIC ERA" at IATED Digital Library
ARTS EDUCATION ECOSYSTEM: DIGITAL RESTRICTIONS AND PHYGITAL SOLUTIONS

1 St.Petersburg State University (RUSSIAN FEDERATION)2 University of Tsukuba (JAPAN)3 Vaganova Ballet Academy (RUSSIAN FEDERATION)
Gambaran Pelaksanaan Kegiatan Pembelajaran untuk Meningkatkan Kemampuan Literasi Matematika Siswa

One indicator that can be used as a success in the educational process is the value of students' mathematical literacy abilities. In Satu Atap Aek Natas Junior Secondary School out of 122 samples, the results of 87 students are still relatively low. Mathematical literacy is influenced by, among others, the interest in reading mathematics and low family social support. For this reason, the solution offered in the implementation of community service is to carry out learning activities using a recitation-assisted PMR approach, the application of the principle of economic tokens accompanied by the use of a contact book. Participants in the implementation of this service consisted of 30 students, 30 parents/guardians of students, and 15 teachers. Based on the results of the implementation of community service there is an increase in the average value of literacy skills, interest in reading and social support of the family before the implementation and after the implementation of service.
Learning Gaussian DAGs from Network Data

Structural learning of directed acyclic graphs (DAGs) or Bayesian networks has been studied extensively under the assumption that data are independent. We propose a new Gaussian DAG model for dependent data which assumes the observations are correlated according to an undirected network. Under this model, we develop a method to estimate the DAG structure given a topological ordering of the nodes. The proposed method jointly estimates the Bayesian network and the correlations among observations by optimizing a scoring function based on penalized likelihood. We show that under some mild conditions, the proposed method produces consistent estimators after one iteration. Extensive numerical experiments also demonstrate that by jointly estimating the DAG structure and the sample correlation, our method achieves much higher accuracy in structure learning. When the node ordering is unknown, through experiments on synthetic and real data, we show that our algorithm can be used to estimate the correlations between samples, with which we can de-correlate the dependent data to significantly improve the performance of classical DAG learning methods.
Students with Down Syndrome Make Oral Reading Mistakes

Oral language and reading skills are challenging for people with Down syndrome (DS). To design effective treatments that assure academic achievement in this demographic, further research is needed to understand the language and reading links of kids with DS. The current study contributes to the body of knowledge regarding the language and reading profiles of kids with DS by analysing their oral reading miscues and recommending intervention approaches that may be useful to this demographic.
Writing generator: a study on the use of Transitional Markers in Academic Writing / Alice Shanthi... [et al.]

Coherence and cohesion are often considered an abstract and difficult area in the teaching of writing. The present study attempts to identify the categories of transitional markers (TM) used by students who have been taught using the Cycle 1 Writing Generator Beta 1.0 developed by the researchers in a writing class, and whether students are able to retain the skills of using TMs effectively in later writing. The Writing Generator is a Microsoft word tool that prompt student to choose from a list the formulaic phrases and expressions when they write expository essays. Using descriptive statistics, it was revealed that transitional markers were used by these students in their pre-test, post-test and also delayed post-test. The findings show a significant difference in the frequency of TMs used in the pre- test and post-test (p=.000). Though students failed to retain aspects of TMs in delayed post-test without the use of Writing Generator, the t-test found no significant difference between the post-test and delayed post-test (p=.302). The result indicates that the Writing Generator is able to condition students to choose TMs that bring about unity in their writing even they do not use the tool. The studyindicates that the Cycle 1 Writing Generator Beta 1.0 could be developed further with extra features for Cycle 2 Beta 2.0 that could facilitate students’ uptake of academic writing skills more effectively among students.
Pengembangan Multimedia Pembelajaran Berbasis Saintifik Mengunakan Adobe Flash Professional CS6 untuk Siswa SD

Multimedia learning can be used to help facilitate the process and understanding in learning, and increase interest in learning, this is because it is presented with attractive pictures and animations, accompaniment music and voice presenters, short duration of time, using a scientific approach in accordance with the revised 2013 curriculum. This study aims to: 1) Develop a scientific-based learning multimedia design for elementary students 2). Knowing the feasibility of scientific-based learning multimedia for elementary students, 3). The response of teachers and students to learning media as a result of development. This type of research is research and development (R & D). The development design model refers to the 4D model with 4 stages, namely: Define, Design, Development, and Disseminate. The research instruments used were observation sheets and questionnaires. The data obtained are in the form of qualitative and quantitative data. Qualitative data is in the form of comments and suggestions from experts/validators of media and materials. Quantitative data were obtained from questionnaire scores with a Likert range scale. The feasibility of the product is assessed based on the feasible and very feasible product category with a percentage between 80-100%. Media that are already feasible are tested on small group and large group test subjects. The results of the assessment from media experts got 92% with very valid criteria, and from material experts it was 86.7% with very valid criteria. The results of the feasibility/practical assessment through student response questionnaires at the trial stage show very practical criteria
Models of Computational Profiles to Study the Likelihood of DNN Metamorphic Test Cases

Neural network test cases are meant to exercise different reasoning paths in an architecture and used to validate the prediction outcomes. In this paper, we introduce "computational profiles" as vectors of neuron activation levels. We investigate the distribution of computational profile likelihood of metamorphic test cases with respect to the likelihood distributions of training, test and error control cases. We estimate the non-parametric probability densities of neuron activation levels for each distinct output class. Probabilities are inferred using training cases only, without any additional knowledge about metamorphic test cases. Experiments are performed by training a network on the MNIST Fashion library of images and comparing prediction likelihoods with those obtained from error control-data and from metamorphic test cases. Experimental results show that the distributions of computational profile likelihood for training and test cases are somehow similar, while the distribution of the random-noise control-data is always remarkably lower than the observed one for the training and testing sets. In contrast, metamorphic test cases show a prediction likelihood that lies in an extended range with respect to training, tests, and random noise. Moreover, the presented approach allows the independent assessment of different training classes and experiments to show that some of the classes are more sensitive to misclassifying metamorphic test cases than other classes. In conclusion, metamorphic test cases represent very aggressive tests for neural network architectures. Furthermore, since metamorphic test cases force a network to misclassify those inputs whose likelihood is similar to that of training cases, they could also be considered as adversarial attacks that evade defenses based on computational profile likelihood evaluation.
Proximity in face-to-face interaction is associated with mobile phone communication

The frequency of mobile communication is often used as an indicator of the strength of a tie between two individuals, but how mobile communication relates to other forms of behaving close in social relationships is poorly understood. We used a unique multi-channel 10-month dataset from 510 participants to examine how the frequency of mobile communication was related to the frequency of face-to-face interaction, as measured by Bluetooth scans between the participants mobile phones. The number of phone calls between a dyad was significantly related to the number of face-to-face interactions. Physical proximity during face-to-face interactions was the single strongest predictor of the number of phone calls. Overall, 36 percent of variance in phone calls could be explained by face-to-face interactions and the control variables. Our results suggest that the amount of mobile communication between a dyad is a useful but noisy measure of tie strength with some significant limitations.
Development of readiness of future preschool teachers to innovative activity

One of the important components of professional competence of teachers today is their involvement in innovation. In pedagogical science innovative activity is defined as purposeful pedagogical activity based on understanding of own pedagogical experience by means of comparison and studying, change and development of educational process for the purpose of achievement of higher results, receiving new knowledge, introduction of qualitatively other pedagogical practice. The relevance of our article is determined by the society's order for a creative teacher with a high level of readiness for innovative pedagogical activity, the need to develop a holistic system of improving readiness for innovative activity. The system-forming factor of readiness of the teacher for innovative activity is the need for transformation, improvement of pedagogical activity through innovative technologies of education.
The Crypto Effect on Cross Border Transfers and Future Trends of Cryptocurrencies

Abstract This paper presents a theoretical and empirical outlook on different aspects of various cryptocurrencies, blockchain technology including the evolution of digital tokens and how they widely affect the financial markets, organizations, banks, governments via analyzing the characteristics and current history of cryptocurrencies alongside with blockchain technology. The choice of this topic was motivated by the fact that the virtual money concept and blockchain technology are utterly new phenomena. This new technology is completely decentralized making the subject worthy of scientific research.The paper solely focuses on analyzing how cryptocurrencies currently affect the financial markets and the future trends of these virtual tokens in the global economy. The study is keen to further examine the impact of Bitcoin and other cryptocurrencies on international fund transfers. Literature review and case study with up-to-date data has been included in the analysis. The following results have been obtained: cryptocurrencies offer a wide range of features such as faster, cheaper and more secure cross-border money transfers that can also provide anonymity. Most crypto tokens are highly volatile due to their nature and various other factors. Cryptocurrencies could provide more beneficial options for users on cross border transfers compared to traditional methods of fund transfers. Cryptocurrencies might have the potential to replace paper money and gain mainstream recognition throughout the world. The study sheds light onto current and future trends of cryptocurrencies and blockchain. It is outlined for the crypto, financial, economic field.
Learning A Single Network for Scale-Arbitrary Super-Resolution

Recently, the performance of single image super-resolution (SR) has been significantly improved with powerful networks. However, these networks are developed for image SR with a single specific integer scale (e.g., x2;x3,x4), and cannot be used for non-integer and asymmetric SR. In this paper, we propose to learn a scale-arbitrary image SR network from scale-specific networks. Specifically, we propose a plug-in module for existing SR networks to perform scale-arbitrary SR, which consists of multiple scale-aware feature adaption blocks and a scale-aware upsampling layer. Moreover, we introduce a scale-aware knowledge transfer paradigm to transfer knowledge from scale-specific networks to the scale-arbitrary network. Our plug-in module can be easily adapted to existing networks to achieve scale-arbitrary SR. These networks plugged with our module can achieve promising results for non-integer and asymmetric SR while maintaining state-of-the-art performance for SR with integer scale factors. Besides, the additional computational and memory cost of our module is very small.
Period sets of linear recurrences over finite fields and related commutative rings

After giving an overview of the existing theory regarding the periods of sequences defined by linear recurrences over finite fields, we give explicit descriptions of the sets of periods that arise if one considers all sequences over $\mathbb{F}_q$ generated by linear recurrences for a fixed choice of the degree $k$ in the range $1 \leq k \leq 4$. We also investigate the periods of sequences generated by linear recurrences over rings of the form $\mathbb{F}_{q_1} \oplus \ldots \oplus \mathbb{F}_{q_r}$.
Compression: A Lossless Mechanism for Learning Complex Structured Relational Representations

Author(s): Shurkova, Ekaterina Y.; Doumas, Leonidas A. A. | Abstract: People learn by both decomposing and combining concepts; most accounts of combination are either compositional or conjunctive. We augment the DORA model of representation learning to build new predicate representation by combining (or compressing) existing predicate representations (e.g., building a predicate a_b by combining predicates a and b). The resulting model learns structured relational representations from experience and then combines these relational concepts to form more complex, compressed concepts. We show that the resulting model provides an account of a category learning experiment in which categories are defined as novel combinations of relational concepts.
PUBLISHING HOUSE, “EXCELLENTLY PUBLISHING WORTHY BOOKS...”

The paper explores the actual features of the historical and literary context of book culture in Finland in Russian. On the example of the publishing house "Biblion" (1919-1921) the information is provided that contributes to the study of the publishing activities of foreign organizations, subjects of Sweden and Finland, contributing to the appearance of books of fiction by many Russian authors, the most famous of which during this period were Leonid Andreev and Alexander Kuprin. For a more complete presentation of the issue of the development of Russian book publishing between 1919 and 1921, it is necessary to know not only about trends on a national scale, to see the features of the development of book publishing in the regions, but also to take into account the specifics of the work of publishing houses and publishing activities of Russian abroad. The relevance of the issue is confirmed by the lack of domestic studies on the topic of publishing Russian literature abroad. The results of the work can be used in teaching courses on literature and culture of the Russian abroad countries, the history of Russian literature of the 1/3 of the XX century, studies of regional literature, with the refinement and addition of biobibliographies, bibliographies, catalogs, encyclopedias, other publications of Russian literature abroad.