Reviewerly/exHarmony huggingface dataset:
Design Fiction—The Future of Robots Needs Imagination

114What kind of robots do we want to live with in the future? Which ones do we not want? How will robots affect our everyday lives? What will be the consequences of our coexistence with them? Roboticists tend to focus on the product design of the robot, its exact configuration, and its technical implementation; rarely is any thought given to the far-reaching social consequences that might arise when a robot actually becomes part of our lives. So, this contribution is about how design can be used to imagine, visualize, and experience possible futures with the robots we want (or do not want). The authors introduce the design practices of Speculative Design and Design Fiction, discussing their practical applications and potential in the field of robotics. The authors offer several examples of Design Fiction projects that illustrate the use and utility of Speculative Design practices for robotic developers, researchers, and laypeople to discuss how the future of robots can be actively shaped through imagination and design. They then present a concrete tool for roboticists: A Design Fiction robot workshop where participants slip into the roles of various stakeholders to speculate about the future of mundane life with robots.
Make It Fast: Performance

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.
Learning about VR in VR

After 20 years of teaching about VR, we finally taught in VR. This article describes lessons learned from 263 students who spent 10 weeks in virtual reality together and a total of 200,000 shared minutes "in headset."
Developing a Hybridized Ant Colony Optimization (HACO) Algorithm: Some Considerations

This paper proposes a Hybridized Ant Colony Optimization (HACO) algorithm whose main focus is based on harnessing the strengths of the AS, ACS, and MMAS previously proposed by various researchers at one time or another. The HACO algorithm for solving optimization problems in this document employs new Transition Probability relations with a Jump transition probability relation, that also indicates the point or path where the desired optimum value has been met. Also it presents a new pheromone updating rule and the pheromone evaporation residue, which calculates the amount of pheromone left after updating. This acts as a guide for the next ant traversing the path and various local search approaches. We notice that the HACO algorithm's computational efficiency finds very workable answers in a short time, as the algorithm has been evaluated on a number of combinatorial optimization problems, and outcomes have been shown to compare favourably with analytical results.
Adaptive Confidence Calibration

Confidence calibration is a quickly growing area of research in deep learning, including computer vision applications.New model architectures and loss functions are being introduced to improve model calibration, an important topic for safety critical AI applications.In order to evaluate these new methods, they are frequently compared to simple baselines, which serve as a comparison and help measure new methods' effectiveness.Popular baselines for evaluating model confidence calibration include label smoothing, mixup and dropout.Despite these methods frequent use and simple implementations, the parameter values that define them are rarely validated, and are usually a default value.This paper demonstrates the danger in using these default values for calibration benchmarks on common datasets; poor model calibration, specifically, a model that is purely over-or underconfident.We present an adaptive framework that can adjust the parameter value of these baseline methods during training based on validation accuracy and confidence to maintain good model calibration and balance over-and underconfidence.A disadvantage of binning-based calibration metrics is that they are not differentiable and therefore cannot be added to the training loss to penalize calibration error.Our adaptive framework solves this problem and provides a solution for optimizing calibration methods.Experiments with the CIFAR-10 and CIFAR-100 image classification datasets show that our approach improves model calibration compared to using these popular methods with default values and we achieve good model calibration regardless of model architecture and dataset.Further, our analysis provides a comparison between these baseline methods that can be considered for future confidence calibration research.
Data visualization and descriptive statistics of solar energy system

In the present scenario, data visualization and descriptive statistics are the key approach for data assessment and data mining. This chapter is devoted to the visual and descriptive assessment of the solar energy system. After the basics of data visualization and descriptive statistics, frequency distribution based prefeasibility analysis of solar energy system is to be done. Qualitative & quantitative analysis, concept of cross tabulation and scatter plot of solar radiation is the main contribution of this chapter. Assessment of central tendency in terms of mean, mode and median is to be done through the R Language.
Humanizing LIS Education and Practice: Diversity by Design

"Humanizing LIS Education and Practice: Diversity by Design." Journal of Education for Library and Information Science, 63(4), pp. 478–479
Adaptive Propagation Graph Convolutional Networks Based on Attention Mechanism

The main steps in a graph neural network are message propagation and aggregation between nodes. Message propagation allows messages from distant nodes in the graph to be transmitted to the central node, while feature aggregation allows the central node to obtain messages regarding its neighbors and update itself, so that it can express deep-layer features. Because the graph structure data have no local translation invariance, the number of neighbors of each central node is different, and there is no order, there are two difficulties: (1) how to design a reliable message propagation method to better express all network topologies; (2) how to design a feature aggregation function so that it can weigh local features and global features. In this paper, a new adaptive propagation graph convolutional network model based on the attention mechanism (APAT-GCN) is proposed, which enables GNNs to adaptively complete the process of message propagation and feature aggregation, according to the neighbors of the central node, and set the influence degree of local and global messages on the aggregation of the central node. Compared with other classical models, this method is superior to the baseline model and can improve the accuracy of node- and graph-level classification tasks in downstream tasks.
Changing management role in enhancing the financial decisions of the Government Universities in Jordan

This current study aimed at identifying the changing management role in enhancing the financial decisions among the Government Universities in Jordan, as the study sample consisted of (825) employee in the Jordanian Government Universities. Moreover, the descriptive-analytical approach was utilized, while a questionnaire was designed to collect data, as it included the scales of changing management and financial decisions. Indeed, the results showed that the changing management level in the Jordanian Government Universities came in moderate degree for all the following fields: (Organizational structure, Technological change, Changing in tasks, Cultural change), similarly, the financial decisions level for the Jordanian Government Universities came in moderate degree. Additionally, the results indicated to the presence of positive connection between changing management and enhancing the financial decisions for the Government Universities, and due to the study results; a set of recommendations were presented accordingly.
An Analysis of the Difference in the Influence of Covid-19 on Grade and Level of Satisfaction by English Tutoring Program

This study analyzed how the English tutoring operation (face-to-face vs. non-face-to-face) operated by K University affects students’ achievement and satisfaction. The Crosstab and t-test were utilized for analyzing whether there are some changes in tutees’ student achievement and level of satisfaction between face-to-face and non-face-to-face environments. The result revealed that the tutees’ overall satisfaction was higher in the face-to-face environment than in the non-face-to-face environment. In the case of tutors, there was no significant difference in satisfaction between the face-to-face and non-face-to-face methods. The grade also showed its improvement of 151.8 points in 2019, which was a face-to-face environment, but 112.4 points in 2021, a non-face-to-face environment. This can be seen that the face-to-face method is more effective than the non-face-to-face method in terms of grade improvement and satisfaction. These findings provide important implications when deciding face-to-face/non-face-to-face methods when operating non-curricular programs such as English tutoring programs in the future.
Dynamic Edge-Based Graph Attention Network and Visual-Semantic Embedding for Outfits Recommendation

Currently, outfit compatibility matching used in fashion e-commerce has been based on visual and textual information to learn global features from items to choose from, which has ignored local feature relationships between spatially adjacent items. We propose a new method that combines a dynamic graph neural network and visual semantic embedding to effectively discover the latent fashion compatibility. It takes visual and semantic information of items as input and extracts global and local information of items through the network to learn the compatibility of the outfit. This method enhances the local connections of items in an outfit by capturing the relationship between items, thus revealing potential information about the outfit collocation at multiple dimensions. Experimental results conducted on a real-world Polyvore dataset show that our proposed approach outperforms all the state-of-the-art methods in both accuracy and efficiency.
Interferometer for Monitoring Convex Hyperbolic Surfaces of Small Diameters

We used Fourier transforms to perform a theoretical analysis of how the process of interference pattern formation in a laboratory-scale Fizeau laser interferometer is affected by the error in the working wave front. The interferometer is designed to monitor convex hyperbolic surfaces characterised by small diameters and low aperture angles. We indicate their application scope. The interferometer consists of a laser illuminator, a microlens, a beam splitter, that is, a thin plane-parallel plate with a semitransparent coating on its front surface, and a screen. A thin translucent plate located perpendicular to the line connecting the geometric foci of the hyperbolic surface acts as a separator and a reference simultaneously. The paper provides the main equations describing the wave aberration of the working branch and the position of optical elements in the interferometer design. We present an example of computing aberration in the working branch of the interferometer. This calculation reveals that aberrations in the thin plane-parallel plate can be discarded at low aperture angles. The interferometer forms a high-precision optical surface map, that is, interference band distortion caused by the interferometer error does not exceed 0.1 of the distortion caused by the error inherent to the surface being monitored. The interferometer provides highly accurate measurement of hyperbolic surfaces while featuring an obviously simple design
Corpus Annotation as a Feasible and Scientifically Beneficial Task

The aim of the present chapter is to demonstrate that a well-designed and theoretically founded corpus annotation contributes significantly to the use of the corpus for testing a linguistic theory and its further development.The data for our analyses come from the Prague Dependency Treebank family, both monolingual Czech and parallel English-Czech, and concern the underlying syntactic level of language description and the annotation of discourse structure.In particular, the case studies concern three research questions, namely (i) the semantic relevance of information structure of the sentence, (ii) the relation between focus sensitive particles and discourse connectives with respect to the semantics of discourse relations, and (iii) the relation between primary and secondary connectives.In the Appendix, some data on measuring inter-annotator agreement are presented and discussed.
Together We Are Stronger: Bootstrapping Language Technology Infrastructure for South Slavic Languages with CLARIN.SI

In this chapter we describe the recent developments in language technology infrastructure building for three South Slavic languages -Slovenian, Croatian, and Serbian.These developments are primarily the result of intense coordination between different projects.Our experience shows that the infrastructure for language technologies can be significantly improved even in countries with a less favourable socio-economic situation, such as Croatia and Serbia, where insufficient organizational capacity and funding are available for a standard, top-down development.We suggest that such countries can adopt a bottom-up approach in which even minor, personal, or topically marginal projects are coordinated within the emerging community.Furthermore, such bottom-up environments can benefit from coordination with other similar environments, in our case in Croatia or Serbia.We further propose that bottom-up approaches can profit from coordination with top-down environments in neighbouring and/or culturally close countries, Slovenia in our case, with both sides experiencing a positive impact.We illustrate the synergistic effect of these different types of collaboration and coordination on the examples of textual data harvesting, manual data annotation, language tool development, and general infrastructure building.We wrap up with the most recent development -a CLARIN knowledge centre for South Slavic languages, where the collaborative methodology is expanded to all South Slavic languages.We close the chapter with a set of suggestions and good practices for researchers and language communities in a similar position to the ones discussed in this chapter.
The Phonological Department of the Institute of Artistic Culture under the Direction of I.G. Terentiev

In the early 20th century, the avant-garde formation in Russia had one significant feature that helped science and art to interact productively throughout the 1920s. The feature was the creation of educational institutions and research institutes, which provided working space for avant-garde artists, theorists, philosophers and practitioners. These people were expected to create a new science of experimental art. Igor Terentiev, a member of the radical futuristic group “41°”, headed the Phonological Department of the Institute of Artistic Culture (INHUK, from 1925 — the State Institute of Artistic Culture (GINHUK)) for less than a year (from October 1923 to March 1924), but his theoretical work was reflected in theatrical practice. This research aims at presenting all the spectrum of searches and the specifics of the GINHUK Phonological Department on the basis of archival documents. The object of the research is the programs of the Department and the lectures of its members. The article focuses on the diversity of the Department’s research program, which was not limited to sound studies alone. The flexibleness of sound substance was equated to the concept of cogitative activity. Sound was considered as a “physical phenomenon” in musical and artistic contexts, and not only as a musical phenomenon, but also as an artistic device and a propaganda tool. The Department presented and discussed lectures on Zaum, noise music, theatrical material, compared the characteristics of the poetry of A.V. Tufanov, K.D. Balmont, V.V. Khlebnikov, discussed the opportunities for artistic work in the sphere of speech and sound. For Igor Terentiev, the most important subject of study was Zaum. On the basis of it, he wanted to develop a universal and international language. The article attempts to reconstruct the general directions of the Department’s work, to formulate a characteristic of its activities, as well as to analyze, for the first time, previously unpublished program theses of its employees.
Mikhail Matyushin’s Creative Method and the Russian Avant-Garde

The article reveals the connection between the creative method of M. Matyushin and the search for a new spirituality associated with the ideological and aesthetic searches of Russian modernism in the era of the Silver Age. The relevance of the article is due to the need for a comprehensive analysis of the heritage of the Russian avant-garde, because, in the Soviet period, everything that went beyond the method of socialist realism was excluded from public consideration. A new aesthetics of theatrical futurism emerged in 1913 in the experimental opera production “Victory over the Sun”. In 1923, M. Matyushin formulated the program of “extended viewing”, calling it “ZOR-VED”, which came from the Russian words “Vision” + “Knowledge”. The contemplative method he proposed, by analogy with Buddhist practices, made it possible to overcome the fragmentation of the reality perception. The observer was to go beyond the space-time limitations, while the boundaries between the object and the subject would become blurred, removing the animate / inanimate opposition, and an understanding of the integrity of the universe would be achieved. M. Matyushin perceived color as a complex phenomenon, depending on the illumination, color of the environment, movement. The result of the experiments conducted by Matyushin at the State Institute of Artistic Culture (GINHUK) was the “Guide to Color” (1932). The method of “extended viewing” brought closer a new era of comprehension of the world as a whole, foreshadowing a breakthrough in many areas of knowledge: the sciences of consciousness, philosophy, psychology and even physics. However, in the country of victorious socialism, the experiments, which anticipated the further development of the visual arts of the 20th century, were forcibly stopped. M. Matyushin continued his search for a new spatial aesthetics in his home theater. The novelty of the solution to the problems under consideration is due to the fact that the article introduces a whole layer of rejected culture of the first third of the 20th century into scientific use, analyzes the activities of the little-studied organic direction of the Russian avant-garde, and compares M. Matyushin’s method of “extended viewing” with Buddhist practices.
An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization

Although the shapes of the parameters are not crucial for designing first-order optimization methods in large scale empirical risk minimization problems, they have important impact on the size of the matrix to be inverted when developing second-order type methods. In this paper, we propose an efficient and novel second-order method based on the parameters in the real matrix space <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathbb {R}^{m\times n}$</tex-math></inline-formula> and a matrix-product approximate Fisher matrix (MatFisher) by using the products of gradients. The size of the matrix to be inverted is much smaller than that of the Fisher information matrix in the real vector space <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathbb {R}^{d}$</tex-math></inline-formula> . Moreover, by utilizing the matrix delayed update and the block diagonal approximation techniques, the computational cost can be controlled and is comparable with first-order methods. A global convergence and a superlinear local convergence analysis are established under mild conditions. Numerical results on image classification with ResNet50, quantum chemistry modeling with SchNet, and data-driven partial differential equations solution with PINN illustrate that our method is quite competitive to the state-of-the-art methods.
A study on the difference between parents' perceptions and restrictions on the influence of media in children's TV media usage patterns

The purpose of this study is to investigate the difference between children's media TV media use and parents' perceptions and restrictions on media influence in the COVID-19 social environment. The research data is an analysis study using data from the 2020 Children's Media Use Survey by the Korea Press Foundation. The purpose of this study is to examine the influence of parents' media awareness and restrictions on infants and to suggest media guidance methods for children. Results First, as a result of the analysis of the start time of TV viewing for infants, children under 12-18 months, under 6-12 months, and under 18-24 months were in the order of daycare centers, but in kindergartens, children under 12-18 months and under 18-24 months. , in the order of 3-4 years old. The TV viewing period was the highest among those under 12-18 months (27.3%), followed by 18-24 months and less than 6-12 months. Children's TV viewing content was slightly higher at daycare for children's content, but higher at kindergarten for animation and entertainment/show/entertainment.&#x0D; Overall, children's contents accounted for the most at 46.2%, followed by animation, entertainment/show/entertainment, news/current affairs, movies, and dramas. Third, as for the devices that children use to watch TV, smartphones accounted for the most at 60.6%, followed by tablet PCs, computers, artificial intelligence, and others. It can be seen that there is a lot of smartphone use.&#x0D; Fourth, as a result of analyzing differences in parents' perception and control of media influence on children, it was recognized that media use in kindergarten had more inappropriate effects on children than in daycare centers. Fifth, in terms of the physical/mental influence of media, daycare centers showed the perception that media had more influence on the cognitive and emotional development of children than kindergartens. In the control of children's media use, the ability to control time, place, and device for media use was higher in kindergarten than in daycare. In addition, the group living with both parents showed a higher ability to control the use of places and devices than the group living with non-adoptive parents. As a result suggestion, media guidance for young children should be combined with education for children and parental guidance for active intervention. We know that meaningful media use doesn't happen in circles. Therefore, it is necessary to select the right TV educational content for children and develop an age-appropriate program.