Reviewerly/exHarmony huggingface dataset:
Designing for Human-VR Interaction - How VR interaction can be designed to bring better design participation

The research in human-computer interaction (HCI) has been ongoing for years until present-day to observe how humans interact with computers and digital technologies.Then comes the development of virtual reality (VR), one where it allows users to be immersed in the virtual environment for various kinds of experiences.This paper takes a close reference to the research method in HCI and brings the examination to the context of VR to understand the user behavior towards human-VR interaction (HVRI).A workshop is done based on the new HVRI method, and students are given the task to explore what are the elements of architecture that can be interacted and how they can be performed in the immersive environment.This paper will describe the HVRI designed and analyze how the new interaction method helps to bring about closer relationships between the human and the virtual model beyond just visualization.
An acoustic analysis of vocal effort and speaking style

Voice projection is a strategy used by every voice user. Work on singers’ voice projection found the use of the “singer's formant”, and a similar “actor's formant” has been found for actors. However, it remains unclear whether differences in source and/or filter strategies exist among voice users without vocal training in varying speaking styles. Recordings from the SRI-FRTIV corpus were used to examine the effects of vocal effort and speech style on vocal characteristics. The present work used a range of acoustic measures that are mostly based on long term spectral averages, to explore public speakers’ voice projection strategies in up to three levels of vocal effort in (1) reading, (2) interview, (3) conversation, and (4) oration tasks. Results show that both male and female speakers use source-related strategies in high vocal effort conditions, such as having tenser voicing. However, male speakers may also use filter related strategies. These voice projection strategies appear consistent across speaking styles.
Hindi/Bengali Sentiment Analysis using Transfer Learning and Joint Dual Input Learning with Self Attention

Sentiment Analysis typically refers to using natural language processing, text analysis, and computational linguistics to extract effect and emotion-based information from text data. Our work explores how we can effectively use deep neural networks in transfer learning and joint dual input learning settings to effectively classify sentiments and detect hate speech in Hindi and Bengali data. We start by training Word2Vec word embeddings for Hindi HASOC dataset and Bengali hate speech [1] and then train LSTM and subsequently, employ parameter sharing based transfer learning to Bengali sentiment classifiers by reusing and fine-tuning the trained weights of Hindi classifiers with both classifiers being used as the baseline in our study. Finally, we use BiLSTM with self-attention in a joint dual input learning setting where we train a single neural network on the Hindi and Bengali datasets simultaneously using their respective embeddings.
ORGANIZATIONAL AND PEDAGOGICAL CONDITIONS FOR FORMING THE FOREIGN COMPETENCE OF FUTURE MUSIC TEACHERS IN THE CONDITIONS OF DISTANCE LEARNING

The publication highlights the current problem of forming foreign language competence of the applicant for higher education in non-language specialties. The author provides a thorough analysis of the educational situation and the place in it of a comprehensively certified specialist. Particular attention is paid to the profession of music teachers and the range of their professional communication, including in a foreign language. The analysis of the process of active introduction of information technologies allowed the author to identify the features of distance learning by higher education and identify the specifics of foreign language training of future music teachers in this way of learning. Addressing the study of well-known pedagogical practices of creating effective conditions in the educational process of higher education, the author designs them for the specifics of the profession of art teacher and provides a list of pedagogical conditions that can be used to form their foreign language competence. Among them: the condition of professionally-oriented motivation (provides foreign language training of future music teachers at the level of mastering their special qualities in the specialty and directing professional training to conscious mastery of professionally important knowledge and skills necessary for future teaching, concert, intercultural activities using potential of foreign languages and the latest technologies for acquiring knowledge, including remote); the condition of active and conscious acquisition of knowledge of a foreign language (aims to increase foreign language hours for students of art specialties and teaching professional disciplines in a foreign language for future music teachers to master foreign language professional competence); condition of intercultural dialogue (provides practice-oriented teaching of the subject at the level of intercultural dialogue, mediated by art); the condition of distance learning (provides for the active use of information technology as the means of creating an educational environment in foreign language training of future teachers of music); condition of active pedagogical practice (is to implement one of the main tasks of professional and pedagogical training of future teachers of music in institutions of higher pedagogical education and focuses on achieving unity of classroom classes online and time of active pedagogical practice offline).
School principals&amp;apos; views on the model of a modern effective head of a general education organization

The article is devoted to the problem of determining the competencies of a modern head of a general education organization, that is due to the lack of normative consolidation of the requirements for this profession and the objective need for new approaches to the organization of vocational training and retraining of heads of general education schools. In order to study the vision of the profession of current school proncipals, identify the main problems and trends, the research was organized,which materials will become the basis for determining the content and structure of the competence model of the head of a general educational organization.The analysis of the results of this study and the obtained empirical conclusions are presented in the materials of the article.
Forms of innovations spread in schools in Russia: practices and prospects of development

The article is devoted to the characteristics of the main forms of dissemination of innovations created in Russian schools. It has been revealed that schools prefer to use traditional forms of dissemination of innovative experience, which do not allow teachers to fully master the innovation for its implementation in practice. The development of more modern forms is hindered by their high resource intensity, high level of requirements for the degree of readiness of an innovative product, and the risk of teachers’ losing their copyright for innovations. To overcome these obstacles, it is promising to expand the practice of network interaction between schools, scientific institutions and educational organizations licensed for implementing programs of additional professional education for teachers.
Design Analytics and Data-Driven Collaboration in Evaluating Alternatives

Evaluation of design ideas is an important task throughout the life cycle of design development in the AEC industry.It involves multiple stakeholders with diverse backgrounds and interests.However, there is limited computational support which through this collaboration is facilitated, in particular for projects that are complex.Current systems are either highly specialized for designers or configured for a particular purpose or design workflow overlooking other stakeholders' needs.We present our approach to motivating participatory and collaborative design decision-making on alternative solutions as early as possible in the design process.The main principle motivating our approach is giving the stakeholders the control over customizing the data presentation interfaces.We introduce our prototype system D-ART as a collection of customizable web interfaces supporting design data form and performance presentation, feedback input, design solutions comparisons, and feedback compiling and presentation.Finally, we started the evaluation of these interfaces through an expert evaluation process which generally reported positive results.Although the results are not conclusive, they hint towards the need for presenting and compiling feedback back to the designers which will be the main point of our future work.
SQ3R Method as A Solution To Improve Reading Comprehension Skills in Elementary School

The Scientific Work (KTI) is entitled "SQ3R methods as a solution to better reading skills in elementary school students." One important aspect of Indonesian learning is reading, by reading it can know things that are not yet known. Observations show that students occur in class IV SDN Jakasampurna V, reading skills of low comprehension: 1) Students have difficulty locating points of thought on text, 2) Students have difficulty capturing implied meanings and letters on text, 3) Students have difficulty making a summary on the reading text, and 4) Students have difficulty explaining the text text again. One contributing factor is that teachers continue to use traditional methods or read in moderation so that the learning process is ineffective, and the teacher and student interaction is lacking. One method for improving the learning skills of reading understanding is the SQ3R method which is a strategy for actively studying the text and leads directly to the essence or content of the underlying material. The step-by-step of the SQ3R method is the introductory (surveys), the raised question (question), the reading stage (reading), the answering of the question (slight), the reviewing of the review. The expected that students are able to: 1) To determine the point of thought correctly, 2) To grasp the corresponding meaning and implied meaning found in the reading text, 3) To summarize the reading text correctly, 4) To restate the reading text in its own sentences correctly. The step-by-step of the SQ3R method is the introductory (surveys), the raised question (question), the reading stage (reading), the answering of the question (slight), the reviewing of the review. The expected that students are able to: 1) To determine the point of thought correctly, 2) To grasp the corresponding meaning and implied meaning found in the reading text, 3) To summarize the reading text correctly, 4) To restate the reading text in its own sentences correctly. The step-by-step of the SQ3R method is the introductory (surveys), the raised question (question), the reading stage (reading), the answering of the question (slight), the reviewing of the review. The expected that students are able to: 1) To determine the point of thought correctly, 2) To grasp the corresponding meaning and implied meaning found in the reading text, 3) To summarize the reading text correctly, 4) To restate the reading text in its own sentences correctly.
A Comparative Study of Face Recognition Algorithms under Occlusion

Face recognition algorithms are used to automatically recognize human faces.It has got a wide variety of applications in many areas such as Surveillance, access, security, advertisement, healthcare, and etc.Many big tech companies have already adopted this technology and it has been proved as promising convenient biometric technology.In this paper, we are comparing the face recognition algorithms performance against the datasets that are reflecting considerable occlusion (the hidden part of the face, the face parts could be hidden with scarf, glasses, hair or any other object).We selected two publicly available datasets, the first one is the face disguise dataset that reflects major occlusion and the second one that is Specs on Faces (SoF) dataset that reflects partial occlusion.After the data collection, we run the data preprocessing techniques in which we removed the existing noise to the datasets and organized them into different sets.Afterward, we applied feature extraction algorithms and then we fed them into classifiers to get algorithm's performance.At the end of the experiments, we observed that the Local Binary Pattern Histogram (LBPH) algorithm outperforms the other two algorithms by securing 33.444% accuracy against the dataset with major occlusion and 98.504% accuracy against the dataset with partial occlusion, and Linear Discriminant Analysis (LDA) secured the second position against the dataset with major occlusion but third position against the dataset with partial occlusion.
The Relationship between Communication Strategies and Language Proficiency among the English Department Students of IAIN Kudus

In foreign language classes, students very often intend to express their ideas to listeners, but they realize that their linguistic or semantic structure is not available, then they give a pause before continuing their utterances. It means that they used communication strategies to close the gap between linguistic competence and communicative competence. Furthermore, many aspects related to the studentsâ€™ communication strategies, one of that is language proficiency. This qualitative case study is set to investigate: (1) the use of communication strategies of students; (2) the language proficiency level of students; (3) the influence of communication strategies to the language proficiency. There are twelve students with high and low proficiency levels as the subject of this research which was taken purposively. They are the second-semester students of the English Education Department at IAIN Kudus in the academic year of 2019/2020. In this study, the researcher used observation, interview, and documentation as the sources of data. It is intended to address the research questions. The results revealed that (1) The students used stalling or time-gaining type and sub-types, namely fillers and self-repetition in which the most popular form of filler was â€œehh, eee, and ehmmâ€; (2) High proficient students were infrequently to produce the error of grammar. While low proficient students often used non-verbal language. It means that students with high proficiency level can process words so that their utterances are more understandable; (3) Communication strategies influenced the language proficiency. It is because high proficient students are able to share their ideas and opinions freely than low proficient students who regularly produce errors of grammar. This study provides valuable contribution in introducing communication strategies and raising studentsâ€™ awareness to actually use English in real-life communication.
Money Mules and Tumblers Money Laundering During the Cryptocurrency Era

Money laundering activities related to the cryptocurrency market have seen an exponential increase over the last fifteen years as a consequence of technological developments and economic distresses, as the 2008 crisis and the 2020 pandemic. This essay will analyse the European Union legislation created in order to tackle this phenomenon, dwelling on the Fifth Anti-Money Laundering Directive and its similarities among international laws. In particular, it will be displayed the importance of intermediaries, such as money mules and mixing services, to ease money laundering and increase the anonymity. In this framework, the European Union finds itself almost powerless: the legality of the virtual currency source is assessed only when entering and exiting in the virtual market and not during in-market transactions as well as a complete lack of legislation on mixing services activities. Therefore, how can the European Union steam the misuse of such intermediaries with ex-ante and ex-post interventions? And, finally, are the European privacy policies so important to outrank the risk related to money laundering activities? This paper shows that one way to prevent cryptocurrency money laundering pullulation is launching sensitization and awareness programmes since young age through educational institutions and, most importantly, a narrower legislation is required, implementing those laws that proved to be effective in other countries, in defiance of privacy policies.
Digital Skills and Self-employment among Graduates of Technical Higher Education Institutions in Tanzania

Digital skills are the driving forces for innovative, inclusive and sustainable growth through innovations and digitalization which in turn stimulate job creation, alleviate poverty, reducing inequality, facilitating the delivery of goods and services. However, large number of graduates is shown to be weak in digital skills in the industry hence affect their employability including self-employment. Recently, the Technical Higher Education Institutions (THEIs) took some initiatives to instill the digital skills to their respective students. This study therefore assessed the level of competence of digital skills among graduates following the initiatives taken by the THEIs and their influence on self-employment. It specifically identified the digital skills and ranking the digital skills acquired by the graduates when in the THEIs. It likewise established relationship between digital skills and self-employment among the graduates. The data were collected using a questionnaire from 500 graduates sampled through a stratified random sampling technique. The collected data were analyzed using Descriptive Statistics and Chi-square. The findings show that, the surveyed graduates acquired basic digital skills (i.e. creating professional online profiles, word processing, using keyboards and touch-screens, managing privacy settings, emails) to the large extent (53%); intermediate digital skills (i.e. desktop publishing, digital graphic design, digital marketing) to the small extent (52%) and advanced digital skills (i.e. big data, artificial intelligence, digital entrepreneurship, cybersecurity, internet of things, virtual reality) to the very small extent (54%) when in the college/university. Furthermore, intermediate and advanced digital skills were ranked higher as digital skills for self-employment by the graduates. All three digital skills were found positive and significant for self-employment among the graduates in Tanzania. The study recommends that, the colleges, institutes and universities should emphatically inculcate all the digital skills to the students as they are both significant for self-employment of their respective graduates.
Rotation on the digital plane

Abstract Let $$A_{\varphi }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>φ</mml:mi> </mml:msub> </mml:math> denote the matrix of rotation with angle $$\varphi $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>φ</mml:mi> </mml:math> of the Euclidean plane, FLOOR the function which rounds a real point to the nearest lattice point down on the left and ROUND the function for rounding off a vector to the nearest node of the lattice. We prove under the natural assumption $$\varphi \not = k\frac{\pi }{2}$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>φ</mml:mi> <mml:mo>≠</mml:mo> <mml:mi>k</mml:mi> <mml:mfrac> <mml:mi>π</mml:mi> <mml:mn>2</mml:mn> </mml:mfrac> </mml:mrow> </mml:math> that the functions $${{\,\mathrm{FLOOR}\,}}\circ A_{\varphi }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mrow> <mml:mspace /> <mml:mi>FLOOR</mml:mi> <mml:mspace /> </mml:mrow> <mml:mo>∘</mml:mo> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>φ</mml:mi> </mml:msub> </mml:mrow> </mml:math> and $${{\,\mathrm{ROUND}\,}}\circ A_{\varphi }$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mrow> <mml:mspace /> <mml:mi>ROUND</mml:mi> <mml:mspace /> </mml:mrow> <mml:mo>∘</mml:mo> <mml:msub> <mml:mi>A</mml:mi> <mml:mi>φ</mml:mi> </mml:msub> </mml:mrow> </mml:math> are neither surjective nor injective. More precisely we prove lower and upper estimates for the size of the sets of lattice points, which are the image of two lattice points as well as of lattice points, which have no preimages. It turns out that the densities of those sets are positive.
Color Occlusion Face Recognition Method Based on Quaternion Non-Convex Sparse Constraint Mechanism

As the acquisition and application of color images become more and more extensive, color face recognition technology has also been vigorously developed, especially the recognition methods based on convolutional neural network, which have excellent performance. However, with the increasing depth and complexity of network models, the number of calculated parameters also increases, which means the training of most high-performance models depends on large-scale samples and expensive equipment. Therefore, the key to the current research is to realize a lightweight model while ensuring the recognition accuracy. At present, PCANet, a typical lightweight framework for deep learning, has achieved good results in most of the image recognition tasks, but its recognition accuracy for color face images, especially under occlusion, still needs to be improved. Therefore, a color occlusion face recognition method based on quaternion non-convex sparse constraint mechanism is proposed in this paper. Firstly, a quaternion non-convex sparse principal component analysis network model was constructed based on Lp regularization of strong sparsity. Secondly, the fixed point iteration method and coordinate descent method were established to solve the non-convex optimization problem. Finally, the occlusion recognition performance of the proposed method was verified on Georgia Tech, Color FERET, AR, and LFW-A Color face datasets.
Evaluasi Usability Pada Knowledge Management System (KMS) Menggunakan Metode System Usability Scale (SUS)

An unattractive system interface and the lack of user motivation in using the Knowledge Management System (KMS) is one of the reason why usability testing is needed. Usability testing aims to determine the usability of the system, whether the system is in accordance with the purpose of its application. Usability Testing will uses System Usability Scale (SUS) method which involves users in the test. The results of this study are usability scores and recommendations for improvement that have been developed using the prototyping method based on the results of problem identification. This research can be used as a reference in the development of the system later.
Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always

We consider nonconvex optimization problem with constraint that is a product of simplices. A commonly used algorithm in solving this type of problem is the Multiplicative Weights Update (MWU), an algorithm that is widely used in game theory, machine learning and multi agent systems. Despite it has been known that MWU avoids saddle points, there is a question that remains unaddressed: ``Is there an accelerated version of MWU that avoids saddle points provably?'' In this paper we provide a positive answer to above question. We provide an accelerated MWU based on Riemannian Accelerated Gradient Descent, and prove that the Riemannian Accelerated Gradient Descent, thus the accelerated MWU, avoid saddle points.