Reviewerly/exHarmony huggingface dataset:
A Case and prospect of developing a Liberal Education Curriculum on Geomorphology - A Case of "Traveling Landforms in Korea" -

As part of an effort to popularize geomorphology, a course called “Traveling Lanforms in Korea” was developed and opened at Chungbuk National University in 2021. The lecture materials are posted on the online Liberal Education courses of Chungbuk National University; provided as a Lifelong Education content through K-MOOC; and provided to nine national universities through the Base National University Credit Exchange System. The contents of the lecture focus on the geography of the middle and high school curriculum, including mountain landforms, plateaus, granite topography development, mountain rivers, coastal erosional and depositional forms, volcanic landforms, and karst topography. Some portions of this lecture, representing important landforms of Korea, were filmed. In the future, it will be possible to develop and proceed with additional lectures that include geomorphological topics, which are not currently included in this lecture, such as rivers at plain, alluvial fan, arid landforms, glacial landforms, and periglacial landforms. In addition, it seems that new subjects such as landforms of geopark in Korea, are necessary as well. Also, in relation to the high school credit system, it is thought that physical geography and geomorphology-related lectures should be developed in the near future.
Construction of visual data scheduling and retrieval model for customer service data analysis platform

The current data scheduling retrieval model have the problem that the performance of sub flow path at non bottleneck is restrained, which affects the performance of the model. This paper constructs a visual data scheduling and retrieval model for customer service data analysis platform. Using microservice encapsulation, the overall architecture of the platform is designed, and the corresponding services are called to complete business processing. Considering the fairness of bottleneck, the queuing mechanism under path congestion is established, and the transmission path is allocated according to the number of data packets that need to skip the buffer, which is read and sent according to the path sequence number. Combined with round-trip delay and path congestion, a data scheduling retrieval model is established to schedule and retrieve the path with low congestion. The simulation results show that compared with the models based on service differentiation, scheduling priority allocation, cloud computing and evolutionary multi-objective optimization, the total amount of data transmission, throughput and bandwidth utilization of this model are improved. It has certain transmission advantages in case of network congestion, which is conducive to improving the stability of the platform.
Impact of Online Education on the Early Children's Learning Outcomes

This research is motivated by the existence of an online learning process in early childhood so that it impacts on children's learning outcomes. This study aims to determine the effect of online learning on early childhood learning outcomes at Raudhatul Athfal Islam Bakti 99 Nairatul Jannah Padang. This study uses quantitative and qualitative research techniques, namely the mixed method. The subjects in this study amounted to five people. Data collection techniques are in the form of interviews and questionnaires. This study uses quantitative data analysis techniques using level categorization, while qualitative data analysis uses coding approaches. And the outcomes of this study meant that there is an effect of online learning on early childhood learning outcomes. Quantitative and qualitative data supports these results. Quantitative data shows the impact of online education on learning outcomes in the moderate category. In contrast, while the results from qualitative data show that online learning partially affects children's learning outcomes so that learning outcomes tend to be less stable.
Stable Federated Learning with Dataset Condensation

Federated learning (FL) is a new machine learning paradigm, where multiple clients learn their local models to collaboratively integrate into a single global model. Unlike centralized learning, the global model being integrated cannot be tested in FL as the server does not collect any data samples; further, the global model is often sent back and immediately applied to clients even in the middle of training such as Gboard. Therefore, if the performance of the global model is not stable, which is, unfortunately, the case in many FL scenarios with non-IID data, clients can be provided with an inaccurate model. This paper explores the main reason for this training instability of FL, that is, what we call temporary imbalance that happens across rounds, leading to loss of knowledge from previous rounds. To solve this problem, we propose a dataset condensation method to summarize the local data for each client without compromising on privacy. The condensed data are transmitted to the server with the local model and utilized by the server to ensure stable and consistent performance of the global model. Experimental results show that the global model not only achieves training stability but also exhibits a fast convergence speed.
Ursula Mamlok, Panta Rhei for piano, violin, and cello, third movement (1981)

This twelve-tone piece deploys hexatonic hexachords, arranged as RI-chains of either major/minor triads or trichord (014). Its progressions of harmonies can be traced on an appropriate hexatonic space. Within that space, the harmonies move with a series of contextual inversions, where two notes hold and the third note flips around them.
Becoming Polyphibious

A polyphibian is born out of a utopia, awakened into hyper reality, overwhelmed, hyper alert. The urbanism of the no-place has no blueprints; the architecture is not planned but born into and out of existence as the polyphibian passes through. In order to become polyphibious, metamorphosis must be metadesigned: the upgrade from amphibious to polyphibious transformation must reach as far beyond metamorphosis as pataphysics forayed beyond metaphysics. The design practice of bionics inspired by life imitates existing solutions of living systems, as finalised products of evolution, thus disregarding the complexity of ongoing processes from which such solutions emerge. The being-caterpillar-becoming-butterfly assembles one uninterrupted organism through which the living knowledge propagates. Polyphibionics recognises a lack of support for surprising solutions in our culture and must foster the culture of suspended judgement, just as Duchamp incorporated the attitude of Pyrrhonian scepticism in the creative act.
Hale Smith, Three Brevities for Solo Flute, No. 2 (1969)

This piece for solo flute is based on an eighteen-note musical idea divided into four gesturally and intervallically distinct components: one is hexatonic; one is chromatic; one is octatonic; and one is a sort of fusion of the intervallic concerns of the others. Despite their evident contrast, the four components have subtle musical affinities that permit them to combine to form larger shapes, up to and including the piece as a whole.
An investigation of Buffon's needle problem

The classic Buffon’s needle question, throws the needle in a plane that is filled with parallel lines, so the researcher considers if there are more kinds of parallel lines put into the plane would increase the accuracy. Based on the Buffon's needle problem, the mathematical laws and results are obtained by casting the needle, not only in parallel lines, but also in regular triangles which represent three kinds of parallel lines. The derived laws and results are applied to estimate the value of <sup>π</sup> . By comparing the result’s variance, the result shows that the more kinds of parallel lines filled in a plane, the more accurate result would be driven from the experiment. Moreover, the scope of application of Monte Carlo simulation which is derived from the Buffon's needle problem is analyzed in the article.
Luigi Dallapiccola, “Die Sonne kommt!” from Goethe Lieder, No. 2 (1953)

This is a twelve-tone piece, based on a pair of inversionally related series and their retrogrades. There is a high level of pitch-class invariance between the series forms. The same harmonies found within the series forms are also found between the series.
Meditative Inquiry and Reimagining Critical Education

Ashwani Kumar’s construction of curriculum as meditative inquiry is a unique and deceptively radical approach to curriculum. Ashwani describes one of the central aspects of meditative inquiry as “a deep recognition that the nature of human consciousness is in crisis and that it affects and is, in turn, affected by the nature of contemporary educational institutions”. Meditative inquiry also has the potential to reshape the ways in which the people think about resistance and revolution. Lastly, meditative inquiry can be both an example of and pathway toward the construction of powerful imaginaries that help the reader to understand the people world differently and thus see a different future, one where psychological divisions and sociological conflict are resolved. There is vast potential in meditative inquiry as an approach to creating an environment that facilitates the development of awareness and the “freedom to be” and thus reimagine experiences and understandings of self and others.
Tidbits on Neural Network Training

This chapter touches on some aspects related to the training of neural networks. First, a method called backpropagation is presented as a way to efficiently compute gradients in descent algorithms when deep networks are used. Next, the chapter considers shallow networks in the overparametrized regime, and it is proved that the empirical-risk landscape, despite its nonconvexity, features no strict local minimizers. Finally, convolutional neural networks are briefly mentioned.
A Study on the Method of Describe the Level of Learning Difficulties of Grammar Items. with a Tree Diagram– focusing on the interference

This study aims to present a new method for predicting the difficulty levels of grammatical items, using a tree diagram that allows to visually identify which items are difficult to learn. In order to achieve this goal, first I reviewed various studies that focus on intralingual and interlingual interference to find out the conditions of interference. As a large part of the errors of foreign language learners come from the interference, the grammatical items that have a high possibility of causing it can be classified as difficult to learn. Second, I chose a Spanish grammar book used in a Korean university. Its content was divided into propositions, the minimum unit of knowledge, which were classified into a priori and a posteriori knowledge and organized in a tree diagram. It was predicted that when various pieces of grammatical knowledge show a parallel or vertical relationship in the diagram, they have a high possibility of causing intralingual interference, and according to the result of the analysis, this prediction turned out to be partly correct. It was foreseen that when the priori knowledge that the learners have obtained in the acquisition or learning of the mother tongue or second language, coincide partly with the knowledge that has to be learned, the interlingual interference can occur. According to the result of the analysis, this prediction turned out to be correct. This study has limitations as it was conducted without learner error analysis. In other words, the validity of the method presented in this study has not been objectively demonstrated. For this reason, in the follow-up study it is necessary to compare learner errors with the diagram to check its validity.
Brownian motion and Box-Muller transformation

An important capacity for modeling across a wide-ranging area is the rapid creation of high-quality Gaussian random numbers (GRNs). Advances in computation have given us the ability to run replications with very huge amounts of accidental numbers, but they've also given us the problem of satisfying ever-higher standards for the quality of GRN generators. In this paper, the importance of high-quality generation of Gaussian random variables (GRV) is revealed by detailed proof of properties of Brownian motion (BM). Several important properties regarding geometric BM are also discussed. The method of Box-Muller transformation for generation of Gaussian variables is discussed.
Basic Convex Optimization

This chapter introduces the key concepts of optimization, such as objective function, constraints, local and global minimizers, and gradient descent algorithms. The rate of convergence for the steepest descent algorithm is analyzed when the objective function is smooth and convex or smooth and strongly convex. The analysis is extended to the stochastic gradient descent algorithm.
Dimension Reduction

The high dimensionality of datapoints often constitutes an obstacle to efficient computations. This chapter investigates three workarounds that replace the datapoints by some substitutes selected in a lower dimensional set. The first workaround is principal component analysis, where the lower dimensional set is a linear space spanned by the top singular vectors of the data matrix. The second workaround is a Johnson–Lindenstrauss projection, where the lower dimensional set is a random linear space. The third workaround is locally linear embedding, where the lower dimensional set is not chosen as a linear space anymore.
Pattern Recognition Search: An Advancement Over Interpolation Search

Searching for a record in a dataset is always a frequent task for any data structure related application. Hence, a fast and efficient algorithm for the approach has its importance in yielding the quickest results and enhancing the overall productivity of the company. Interpolation search is one such technique used to search through a sorted set of elements. This paper proposes a new algorithm, an advancement over interpolation search for the application of search over a sorted array. Pattern Recognition Search or PRS, like interpolation search, is a pattern based divide and conquer algorithm whose objective is to reduce the sample size in order to quicken the process and it does so by treating the array as a perfect arithmetic progression series and thereby deducing the key element's position. We look to highlight some of the key drawbacks of interpolation search which is accounted for in the Pattern Recognition Search.
Tania León, Rituál (1987)

This passage is a fleet, light-footed scherzo that gradually works its way upward in register from the lowest note of the piano keyboard. It uses only seven different pitch events (each consisting of just a few notes), but their endlessly inventive recombination provides direction and vitality. The music traces hexatonic pathways that run through and beneath the seemingly improvisatory musical surface.
Chosen-message forgery attack on SCREAM

NIST launched the CAESAR competition for the world in 2014, followed by the current LWC competition. The design and security analysis on authenticated encryption (AE) algorithm have aroused a great upsurge in the world, aiming to meet the needs of the confidentiality and authenticity of the information. At the same time, all kinds of ingenious design and the corresponding security analysis emerged in endlessly. Although the SCREAM algorithm failed to be selected in the third round of CAESAR competition, based on its unique design, it still has a good reference and research significance to carry out safety analysis. In this thesis, according to the relative independence of each module of the SCREAM algorithm structure, the Chosen-message forgery attack of SCREAM was proposed under the condition of one or more pairs of ciphertext, so as to forge the ciphertext and generate the correct authentication tag to pass the verification. Meanwhile, the effectiveness of this method was proved, and the corresponding probability of success was provided. Compared with the existing analysis results, this method has better operability and universality.
Accessibility Features in Digital Games that Provide a Better User-Experience for Deaf Players

Voice user interfaces are becoming integrated into more and more products and users are now widely exposed to them. Smart speakers are one of the most recent examples of a consumer product that uses voice and, possibly combined with a screen, can be a useful tool for obtaining information, controlling smart home products or even playing a role in supporting people’s well-being. This chapter reports on case studies of the use of digital assistants in home settings. It reports on the frequency of use, ease of learning and possible implications for user support and the design of future voice interfaces.
A regression analysis method based on big data research to calculate river loss

In order to study the law of river loss to predict the amount of water available in the future and protect water resources, this paper is based on big data collection and analysis, taking the Hotan River Basin in a typical arid desert area as an example, using the principle of water balance and statistical methods. Also, this article puts forward a prerequisite that needs to be met to establish a calculation formula for river water loss. The results show that the monthly river damage and inflow from the lower section of the rivers in the region are highly correlated with the inflow of the upper section, which is a practical method for forecasting the amount of water loss in the river.
Igor Stravinsky, The Rite of Spring, Introduction to Part I (1913)

A diatonic melody receives a chromatic harmonization. The resulting harmonic progression involves chords related by inversion. Both melody and bass traverse a cycle of minor thirds.
Co-Exploring the Visual Metaphors of the Dream

This chapter documents my artistic practice in which I have developed visual dream interpretation within collaborative groups co-facilitated with Mark Blagrove, Professor of Sleep and Dreaming, and Director of the Sleep Lab at Swansea University. The experiential tools described here, derived from art, science and design, are part of designing an inclusive communication between both material and immaterial encounters and demonstrate the role of co-constructing meaning within the discursive process used in scientific dream interpretation. This also adds to the idea of languaging (outlined in Chapter 3) as a form of collaborative immaterial communication that empathically co-constructs a situated meaning-making beyond words alone. Writing from my perspectives as an artist and an experienced teacher of designers, I reflect on the viability of using dreaming as a way to open up new experiences, concepts or opportunities.
Foundational Quantitative Concepts in Corpus Linguistics

This is a ‘quantitative methods’ chapter. It describes the basic quantitative concepts in corpus linguistics. These are: frequency and normalised frequency; range and dispersion; the concept of keyness; collocation; and lexical bundles. In each case research using these ideas is discussed and issues around the different available measures are presented. The chapter then introduces multidimensional analysis and how quantitative studies might be enhanced by semantic and other annotation. The emphasis in the chapter is on how the various measures are used and the impact they have on the applications of corpus research.
Deep learning for hate speech detection

With the rapid growth of the Internet, more and more people use online social media. Hence, hate speech becomes rampant in social media, and it is important to classify the hate speech and control it before it spreads. With the introduction and the development of deep learning, hate speech detection becomes practice. Many studies utilize data from social platforms such as Twitter and Facebook together with machine learning or deep learning technologies to detect and recognize hate speech. However, there are not enough reviews about this area. Hence, this paper aims to provide a review of using machine learning and deep learning for hate speech detection.
Analysis on Translation Errors of News Articles from Spanish to Korean of Google Translate and Naver Papago as Machine Translation

Machine translations(MT) such as Google Translate and Naver Papago are widely used in Korea as translation tools. Although both translators apply the data-based Neural based MT (NMT) method, the translation results are not yet satisfactory compared to skilled human translators. In this paper, the Spanish-Korean translation errors made by these machines translators were analyzed qualitatively based on the Skopos theory, which is a functionalist translation theory. Some macroscopic errors are observed in word recognition, punctuation, spacing, phrase, sentence recognition, and sentential ending style. Microscopic errors in lexical, syntactic, and pragmatic aspects were analyzed by applying eight oblique translation procedures. The only procedure applied well in both translators is transposition and the majority of oblique procedures such as modulation, adaptation, amplification, explicitation, omission, and compensation are not properly applied. We expect that this study will be used as basic data for reference when applying a machine translator in the educational field or when a developer wants to improve the performance of both translators.
A Systematic Approach for Mining Quality of Services

Web services are used to provide different software functionalities to Web service users. Web services can be further classified according to their quality. Mining and visualizing quality attributes could help Web service selectors to find the appropriate Web service based on visual figures representing the quality instead of looking at different values and numbers. Moreover, it provides stakeholders in the service computing domain a comprehensive view of the Quality of Service (QoS) performance of a group of Web services. This research proposes a systematic methodology for mining Web services' qualities. It studies the aspects of using clustering regarding Web service quality. A case study was conducted using K-mean clustering to divide a Web services pool based on quality criteria into subgroups.
Adjunct Multiple Nominative Constructions and Form Sequence in Japanese and Korean

This study aims to investigate adjunct MNCs in Japanese and Korean and to provide a uniform approach to them, following Goto and Ishii (2011) in part. In Japanese and Korean, the adjunct MNC has a fixed order among nominatives, forbidding nominatives to scramble. However, the constructions in the two languages are different with regard to coordination and idiom chunks. Considering the analogies and distinctions, I assume that the adjunct MNC uniformly results from Form Sequence (FSQ, Chomsky, 2020, 2021) in both languages, which produces an ordered set of elements. Nonetheless, the differences of both languages result from when the operation FSQ is applied in the adjunct MNC. Two nominatives undergo FSQ before they merge with the predicate in Japanese, but the argument nominative forms a set with the predicate and the set forms a sequence with the adjunct nominative in Korean.
Cranes, Drones and Eisenstein

In this article, a neurohumanistic, “third culture” approach to “gesture” is delineated. Grounded in an exegesis of Eisenstein’s sensorimotor theory and extending to both contemporary and historical thinkers, a “constellation” of the notion of both visual and musical gestures is triangulated and operationalized into empirical research. An overlap between Eisenstein’s model of audio/visual gestures and the contemporary frameworks of embodied simulation theory and embodied music cognition is revealed. Through artistic collaborations with a filmmaker and a film composer, custom-made, naturalistic video clips (filmed with a drone) and musical tracks were created using the film The Cranes Are Flying (Kalatozov 1957) as an aesthetic model. Empirical results demonstrate an increased sense of movement and involvement in the perception of both visual and musical “ascent.”