Reviewerly/exHarmony huggingface dataset:
Smart Toys++: Exploiting the Social Connectedness for Playing and Learning

Under the umbrella of smart toys, a myriad of interactive systems have addressed a variety of scenarios considering entertainment, education, sustainability, social and environmental learning through play. Tangibles and small toy robots prevail; but interaction technology based on wearables, conversational interfaces or augmented reality may also be part of this landscape to implement smart toys that are both social and/or connected. In the second edition of this workshop, we set a special focus on challenges associated to opening smart toys to different degrees of ”connectedness”, and reflecting on concerns regarding data privacy and ethics when smart toys are reframed to function in a connected way. After the pandemic, social isolation forced us to change the way we interact with each other. We are convinced that smart technologies can open new avenues for promoting social connectedness enabling more interactive playing and learning activities.
Knowledge Distillation for Quality Estimation

Quality Estimation (QE) is the task of automatically predicting Machine Translation quality in the absence of reference translations, making it applicable in real-time settings, such as translating online social media conversations.Recent success in QE stems from the use of multilingual pre-trained representations, where very large models lead to impressive results.However, the inference time, disk and memory requirements of such models do not allow for wide usage in the real world.Models trained on distilled pre-trained representations remain prohibitively large for many usage scenarios.We instead propose to directly transfer knowledge from a strong QE teacher model to a much smaller model with a different, shallower architecture.We show that this approach, in combination with data augmentation, leads to light-weight QE models that perform competitively with distilled pre-trained representations with 8x fewer parameters.
International Mining Students’ Perceptions of Online and Classroom Interaction (A Case Study of Kuzbass University)

Distance education, which opens up a new era of digitalization and sustainable development of the society, is gaining momentum today. However, a vast array of challenges comes up when online interaction in which student and teacher are engaged fully replaces communication in traditional classroom. This paper seeks to contribute to the advantages of face-to-face learning, as perceived by the international mining students. The data have been collected from the open format questionnaires fulfilled by the overseas students who came to study mining engineering at the university of Kuzbass. The qualitative content analysis and, subsequently, the researchers’ interpretation of the data reveals that students observe various features related to student teacher interaction in online and offline settings. Notably, these features correlate to the variables constituting the core of pedagogical interaction: performance, motivation, communication, cognition, emotions, physical state, and temporal dimension.
Children's Rights by Design in AI Development for Education

The present article proposes that all AI that directly or indirectly impacts children, also in the educational processes, must always take children’s rights and interests always first. It highlights the legal duty to respect, protect and their rights by States and private actors, like tech-companies, in the design, developing and provision of any AI technology, product or service. In this sense, proposes that the Children's Rights by Design (CRbD) standard should be always applied by States and corporations.
Isoclinic subspaces and quantum error correction

We exhibit equivalent conditions for subspaces of an inner product space to be isoclinic, including a characterization based on the classical notion of canonical angles.We identify a connection with quantum error correction, showing that every quantum error correcting code is associated with a family of isoclinic subspaces, and we prove a converse for pairs of such subspaces.We also show how the canonical angles for isoclinic subspaces arise in the structure of the higher rank numerical ranges of the corresponding orthogonal projections.
Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning

Unsupervised training of deep representations has demonstrated remarkable potentials in mitigating the prohibitive expenses on annotating labeled data recently. Among them is predicting transformations as a pretext task to self-train representations, which has shown great potentials for unsupervised learning. However, existing approaches in this category learn representations by either treating a discrete set of transformations as separate classes, or using the Euclidean distance as the metric to minimize the errors between transformations. None of them has been dedicated to revealing the vital role of the geometry of transformation groups in learning representations. Indeed, an image must continuously transform along the curved manifold of a transformation group rather than through a straight line in the forbidden ambient Euclidean space. This suggests the use of geodesic distance to minimize the errors between the estimated and groundtruth transformations. Particularly, we focus on homographies, a general group of planar transformations containing the Euclidean, similarity and affine transformations as its special cases. To avoid an explicit computing of intractable Riemannian logarithm, we project homographies onto an alternative group of rotation transformations SR(3) with a tractable form of geodesic distance. Experiments demonstrate the proposed approach to Auto-Encoding Transformations exhibits superior performances on a variety of recognition problems.
Sound and Image in New Media Art

This essay introduces musicians, composers, musicologists, and scholars working in related disciplines to the use of sound in new media art of the twenty-first century. The focus is on examples from recent art that cohesively integrate sonic elements through electronics. Electronic signals allow a single creator to work with sound and visual information equally as numerical data, generated through various devices or machines. Digitization of both sonic and visual elements has profoundly changed artistic form in both fields, as demonstrated by the work of artists such as Haroon Mirza, Ryoji Ikeda, and Carsten Nicolai.
A reversible circuit synthesis algorithm with progressive increase of controls in generalized Toffoli gates

We present a new algorithm for synthesis of reversible circuits for arbitrary n -bit bijective functions. This algorithm uses generalized Toffoli gates, which include positive and negative controls. Our algorithm is divided into two parts. First, we use partially controlled gen- eralized Toffoli gates, progressively increasing the number of controls. Second, exploring the properties of the representation of permutations in disjoint cycles, we apply generalized Toffoli gates with controls on all lines except for the target line. Therefore, new in the method is the fact that the obtained circuits use first low cost gates and consider increasing costs towards the end of the synthesis. In addition, we employ two bidirectional synthesis strategies to improve the gate count, which is the metric used to compare the results obtained by our algorithm with the results presented in the literature. Accordingly, our experimental results consider all 3-bit bijective functions and twenty widely used benchmark functions. The results obtained by our synthesis algorithm are competitive when compared with the best results known in the literature, considering as a complexity metric just the number of gates, as done by alternative best heuristics found in the literature. For example, for all 3-bit bijective functions using generalized Toffoli gates library, we obtained the best so far average count of 5 . 23.
The use of modern digital technologies in humanitarian universities as a requirement for the implementation of an activity-based approach in teaching

In this article the attention is paid to the need of revising the training system for specialists in humanitarian spheres. The purpose of the article is to analyze the implementation of e-learning and the formation of an e-culture of specialists in professional organizations, to study the ways of developing students’ independence by means of information and communication technologies, the usage of computer tools and systems for protecting digital resources, as well as the studying of e-learning introduction and the formation of an electronic culture of specialists in professional organizations.
The formation of a multicultural space as a real necessity of modern education

The purpose of this study is to develop a model of the multicultural space of the university. The objectives of the research are to analyze the multicultural approach to education, its principles, methods, technologies and advantages for creating a safe educational space in the conditions of a modern intercultural society. The formation of a multicultural space in the university allows us to determine the main tasks and guidelines of the educational process, including: the socio-cultural approach to the organization of multicultural education; the priority of the relationship between language and culture; maximum personal development with a wide range of foreign language competencies. The research methodology is based on ethnographic, cross-cultural and semiotic methods of studying cultural systems and cross-cultural situations. As a result of the research, the principles, methods, and innovative pedagogical technologies of implementing the educational process in the conditions of intercultural interaction between students and university teachers are described and classified. The study presents a descriptive model of the multicultural space of the Russian university.
Current Landscape of the Russian Sentiment Corpora

Currently, there are more than a dozen Russian-language corpora for sentiment analysis, differing in the source of the texts, domain, size, number and ratio of sentiment classes, and annotation method.This work examines publicly available Russian-language corpora, presents their qualitative and quantitative characteristics, which make it possible to get an idea of the current landscape of the corpora for sentiment analysis.The ranking of corpora by annotation quality is proposed, which can be useful when choosing corpora for training and testing.The influence of the training dataset on the performance of sentiment analysis is investigated based on the use of the deep neural network model BERT.The experiments with review corpora allow us to conclude that on average the quality of models increases with an increase in the number of training corpora.For the first time, quality scores were obtained for the corpus of reviews of ROMIP seminars based on the BERT model.Also, the study proposes the task of the building a universal model for sentiment analysis.
The Empirical Acquisition of Grammatical Relations

We propose an account for the acquisition of grammatical relations using the concepts of connectionist learning and a construction-based theory of grammar. The proposal is based on the observation that early production of childhood speech is formulaic and the assumption that the purpose of language is communication. If one assumes that children’s comprehension of multiword speech is not globally systematic, but based initially on semi-rote knowledge (so-called “pivot grammars”), a pathway through small-scale systematicity to grammatical relations appropriate to the child’s target language can be seen. We propose such a system and demonstrate a portion of the emergence of grammatical relations using a connectionist network.
New Attacks on the Untraceability of Transactions in CryptoNote-Style Blockchains

CryptoNote is a privacy-focused blockchain protocol. Currently, more than 10 different cryptocurrencies including Monero, a popular cryptocurrency with a 1-year average market cap of 2 billion USD, have been developed based on the CryptoNote's protocol. CryptoNote obscures the connection between inputs and outputs of a transaction by adding decoy inputs. In this paper, we introduce probabilistic attacks to the untraceability of CryptoNote which substantially degrades the level of privacy of CryptoNote-style blockchains. We analyze the effectiveness of the proposed attacks and derive their error rates.
Rule Induction with Iterated Local Search

The wide amount of data in the modern applications available on the Internet make it very complicated to deal with the knowledge behind these data.The data classification task is a useful tool that used to deal with a huge amount of data by classify these data into coherent groups.The data size decreases the performace of the classification technique, especially when contain uninformative data (i.e., irrelevant, noisy).The stochastic local search algorithm is an optimization approaches employed to find the informative data to build the classification model.These methods are used to search for the optimal patterns to construct the classification algorithm.Thus, this research introduces a stochastic local search algorithm for rule induction called Iterated-Miner (Iterated local search-based rule induction).The purpose of the algorithm is to construct classification rules from data.This classification algorithm is inspired by the concepts and principles of stochastic local search and rule induction.The performance of the proposed classifier evaluated with a well-known and state of art classification algorithms called, Ant-Miner, ACO/PSO2, PART FURIA, and ACO/GA on 10 UCI datasets.The results demonstrate that our classifier is superior compare with all classifiers respect to classification accuracy; and the model sizes by our classifier are considerably competitive with those discovered by other classifier.
From morpho-stratigraphic to geo-stratigraphic units: the PLANMAP contribution.

&amp;lt;p&amp;gt;Geological units on Earth are defined by several parameters besides the stratigraphic ones, such as rock textures, lithology, composition, and environmental conditions of their origin (numerous and diverse magmatic, volcanic, metamorphic and sedimentary environments). On the other hand, from the Apollo era onward, planetary &amp;amp;#8216;geologic&amp;amp;#8217; mapping has been carried out using a photo-interpretative approach mainly on panchromatic and monochromatic images. This limited the definition of geological units to morpho-stratigraphic considerations so that units were mainly defined by their stratigraphic position, surface textures and morphology, and attribution to general emplacement processes (a few related to magmatism, some broad sedimentary environments, some diverse impact domains, and all with uncertainties of interpretation). Hence, the two products are still separated by an important conceptual and effective gap which makes the traditional planetary morpho-stratigraphic maps unable to satisfy fully the needs of modern planetary exploration, i.e. an optimised product to define mission strategy in terms of target selection, exploration traverse definition and resource evaluation for ISRU purposes. One of the approaches that might close this gap is to integrate spectral, color and compositional information into morpho-stratigraphic maps, thus generating spectro-morphic or geo-stratigraphic maps.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The PLANMAP team has explored diverse methods for the integration of color variation and spectral information into planetary geological maps that diverge on the bases of the data available, the planetary surface under consideration (Moon, Mars and Mercury),the &amp;amp;#160;geological environments and the scale of mapping.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;PLANMAP received funding from the European Union Horizon 2020 research and innovation program under grant agreement N. 776276.&amp;lt;/p&amp;gt;
Restoration and Enhancement of Historical Stereo Photos

Restoration of digital visual media acquired from repositories of historical photographic and cinematographic material is of key importance for the preservation, study and transmission of the legacy of past cultures to the coming generations. In this paper, a fully automatic approach to the digital restoration of historical stereo photographs is proposed, referred to as Stacked Median Restoration plus (SMR+). The approach exploits the content redundancy in stereo pairs for detecting and fixing scratches, dust, dirt spots and many other defects in the original images, as well as improving contrast and illumination. This is done by estimating the optical flow between the images, and using it to register one view onto the other both geometrically and photometrically. Restoration is then accomplished in three steps: (1) image fusion according to the stacked median operator, (2) low-resolution detail enhancement by guided supersampling, and (3) iterative visual consistency checking and refinement. Each step implements an original algorithm specifically designed for this work. The restored image is fully consistent with the original content, thus improving over the methods based on image hallucination. Comparative results on three different datasets of historical stereograms show the effectiveness of the proposed approach, and its superiority over single-image denoising and super-resolution methods. Results also show that the performance of the state-of-the-art single-image deep restoration network Bringing Old Photo Back to Life (BOPBtL) can be strongly improved when the input image is pre-processed by SMR+.
New Global Membership Scaling Fuzzy C-Means Clustering Algorithm

With the increasing amount of data, the calculation of the distance is complicated in fuzzy c-means. In this paper, we propose a new global membership scaling FCM (GMSFCM). The data will be divided into two types at each iteration: the first one is the in-cluster samples, which will not change their clusters in next iteration; the second one is the out-of-cluster samples, which will change their clusters in next iteration; then a new scheme for scaling the membership degrees is suggested to boost the effect of the in-cluster samples and weaken the effect of the out-of-cluster samples. However, the filtering of the in-cluster and the out-of-cluster samples often leads to a high computational complexity per iteration. Thus, we will use triangle inequality to avoid unnecessary distance calculations. The new scheme not only improves the convergence but also keeps the quality for fuzzy clustering.
Cybercrime in Social Media and Analysis of Existing Legal Framework: Bangladesh in Context

With the arrival of Information Communication and Technology, the world has now become a digital world and the advent of this technology has made communication and economic transactions easier. Bangladesh is also introducing herself with this digital world and interestingly the present Bangladesh is called nationwide ‘Digital Bangladesh’. But in this Digital Bangladesh, participation in social media especially in Facebook has increased melodramatically over the recent past years. The problem arises when the users of social media commit cybercrimes besides using this only as a tool of communication. When the people of Bangladesh are not widely known with internet and communication technology, in 2001 the Government enacted Bangladesh Telecommunication Regulation Act. Meantime the use of internet and social media increased and accordingly in 2006 the government enacted the Information and Communication Technology Act to prevent the possible cybercrimes. But this legislation was not enough to combat with increasing cybercrimes committed by offenders. As such the government in 2018 enacted another piece of legislation namely the Digital Security Act. But to combat cybercrimes in social media especially in Facebook how much effective is this Digital Security Act and ICT Act is a great concern. Hence this paper tries to analyse the existing laws and bodies regulating cybercrime in Bangladesh. The Paper reveals that the legal framework regulating cybercrime in Bangladesh is wide but technically hazardous and complicated. As such the paper dissects the provisions of existing laws largely ICT Act and Digital Security Act. The paper finally concludes by proposing Safety of Social Media and Misuse Restraint Act.
Image denoising based on edge enhancement and convolutional neural network

The image denoising methods based on convolutional neural network can remove the noise better. However, some detailed features will be removed along with the noise, resulting in the image blurred. In this paper, we propose a denoising network based on edge enhancement and residual learning to make it generate higher quality denoised results. First, we use the Non-local Means (NLM) denoising algorithm to pre-denoise the noisy image, and then use canny edge detection on this result to obtain the corresponding edge matrix; Second, perform non-subsampled contourlet transform (NSCT) decomposition on the noisy image to obtain high-frequency sub-bands; Third, locate and amplify the edge coefficients of the high-frequency sub-bands through the edge matrix to obtain the edge-enhanced noise image; Finally, the edge-enhanced noise image is input into the residual denoising network training to get the final denoised result. The experiments show that when compared with the traditional denoising methods, our proposed method can remove more noise while retaining more rich edge information and have a better improvement in visual quality.
Splitting of PG(1,27) by Sets, Orbits, and Arcs on the Conic

This research aims to give a splitting structure of the projective line over the finite field of order twenty-seven that can be found depending on the factors of the line order. Also, the line was partitioned by orbits using the companion matrix. Finally, we showed the number of projectively inequivalent -arcs on the conic through the standard frame of the plane PG(1,27)
Analytical study of Kala Sharir on the principles of histology

Background: Susrutha Samhita is the earliest treasure of anatomical concepts which illustrates the structures on both gross and microscopic levels. Susrutha has systematically described the process of dissection. This process of dissection gave a glimpse of all the body structures to Susrutha; which he dictated in further chapters of Sharir Sthana (a subunit related, especially with the description of anatomy) and other places wherever required. Several concepts are so unique to Susrutha that he is quoted as it in further hierarchal compendiums. Kala Sharir is one of such topics which despite the fact is being a miniscule structure, is described with supreme authority with location, enumeration, examples, and clinical utility. The exact efficacy of Gyan Chaksu (intellectual visualization) and Upmana Pramana (comparative tools) can be seen in the description of Kala Sharir, which after centuries and series of discoveries of the microscope has got its place in now days world as a separate entity of epithelium/tissue/membrane in histology, a subunit of anatomy. Objective: The objective was to study and analyze the structural entity and utility of Kala Sharir, in the illumination of the knowledge of contemporary histology. Data Source: Kala related literature from classical texts such as Susrutha Samhita, Ashtanga Sangraha, Ashtanga Hridaya, Bhavprakasha, and Sharangdhar Samhita. Histological texts of contemporary anatomy, journals, articles, internet material, and previous research papers related to these subjects. Review Methods: All the literature related to Kala Sharir is reviewed by comparing and analyzing the different meanings and thoughts of classical as well as contemporary authors. A separate analysis of commentaries on classical texts is done for better understanding. Results and Conclusion: The concept of Kala Sharir has here been studied analytically in the radiance of histology to understand its utility in clinics and understanding in contemporary view.