Reviewerly/exHarmony huggingface dataset:
pyGNMF: A Python library for implementation of generalised non-negative matrix factorisation method

This article introduces a Python library named pyGNMF, which implements the recently proposed generalised non-negative matrix factorisation (GNMF) method. GNMF factorises a non-negative matrix into a product of two non-negative matrices by incorporating error-covariance information between different elements of the dataset. In literature, several non-negative matrix factorisation (NNMF) methods such as NMF, glsNMF and LS-NMF are available; however, they assume different forms of the error-covariance matrix. In particular, NMF assumes identity error-covariance matrix, LS-NMF assumes diagonal error-covariance matrix, and glsNMF assumes errors to be correlated in only one direction (rows or columns). In contrast, GNMF can incorporate the full error-covariance information and depending on the error-covariance structure, GNMF subsumes these methods as special cases. The parent article introduces two approaches to solve the problem by using projected gradient-based and multiplicative updates and is demonstrated on an air pollution source apportionment problem. Both these approaches have been incorporated into the pyGNMF library. The mathematical nature of GNMF method makes it domain-agnostic, enabling users from different domains to deploy GNMF for their non-negative matrix factorisation applications.
The Sonically Evoked Spaces of Post-Rock in an Era of Climate Reality

While the transmediality of the early Icelandic literature is palpable in contemporary Icelandic art and music, this chapter highlights how the resultant vast, textured landforms of Iceland are mirrored not only within the praxis of Sigur Rós’ post-rock but also in its sonic sentiments of isolation (paired with exterior threats, instability and change) representative of a culture bounded by water. Today, rapid “ocean acidification” due to increases in carbon dioxide in the atmosphere and the ocean as a result of human actions is predicted to have a profound impact on the surrounding marine ecosystem. Sigur Ros’ ambient, haunting and affective compositions exist in the context of a broader artistic construction of “landscape as nation” in postcolonial Iceland. That is, the inclination for Icelandic cultural production to draw on the distinctive and natural features of the landscape – as a “land of fire and ice [ominous volcanos and stunning glaciers], cascading waterfalls, black sand beaches and vast, volcanic plains”.
The Virtual Archives

Jaron Lanier is one of the earliest and foremost thinkers around VR. In this chapter he revisits and reflects upon a seminal article from 1992 – an interview with Frank Biocca – in which he discussed his hopes for, and fears about, VR. He revisits some of the themes from that article in a significant interview with Sarah Jones, conducted in 2020.
Guernica, éres tu: VR Volumetric Capture as an Art Style

Guernica, éres tu is a first-person anti-war storytelling experience that reconstructs Pablo Picasso's famed painting Guernica into a virtual environment. Guernica, éres tu, through the use of 8i's volumetric capture technology in a virtual reality environment, the VR application tries to retain the essence of human into the artwork and fits the creative style of abstract and surreal art by modifying the 3D captures. As a result, it persuasively delivers a message that the belligerents, the casualties, and the observers are all actual human beings, not merely statistics nor images on the news.
Change of Superscription on Coins of Native States, 1858–1872

The coinage of most of the native states of India carried the impression of the Mughal emperor at the time of Revolt of 1857 and represented a peculiar political phenomenon. Ordinarily the name of only a paramount power is inscribed by a subordinate state on its coins. The Bharatpur coin was also superscribed in the same way and perhaps all the Rajputana states continued to bear the earlier superscription on their coinage as if Delhi was the paramount power. The Officiating Agent was confident that any suggestion for the substitution of the superscription of the British government in place of the emperors would be readily and eagerly accepted by all chiefs in Rajputana. By 1872, almost all the chiefs and princes, with the exception of Scindia, removed the superscription of the Mughal emperor from their coins, but only two new native states had decided to inscribe the name of the Queen.
Assistive Technology in English Learning by A Visually Impaired Student at Inclusive School

The objectives of this study were to describe factual information about the process of learning using JAWS (Job Access with Speech) and MELDICT (Mitra Netra Electronic Dictionary), to know empirical evidence about the improvement of a visually impaired student, and to analyse the student and teacher perceptions of using JAWS and MELDICT in learning English. This study was conducted by using a descriptive qualitative design. The subject of this study was a visually impaired student who studied in inclusive school SMA Negeri 2 Lubuk Pakam. The data were analysed by using the Louis Cohen technique (2018). The data on this research were the description process of using JAWS and MELDICT, Pre-test and post-test results, the transcript of the teacher interview, the transcript of the student interview, and the teachers' result of the questionnaire. The findings of the study revealed that a visually impaired student improved his English by using JAWS and MELDICT with some processes of learning, such as (i) technical preparation, (ii) listening process, (iii)cognitive process (iv)reading process (v) writing process. The research showed that JAWS and MELDICT could improve a visually impaired student's writing skill. The use of JAWS and MELDICT enhanced student's motivation in writing as the student showed active participation during the writing activities. JAWS and MELDICT empowered student's creativity since they enabled the student to explore when expressing his ideas. The improvement was significant, as shown in the written texts. The student's score in the Pre-test was 12, and it increased to 20 in the post-test
Sverker Runeson – Interview and Reflection

In this interview conducted by Agnes Szokolszly in 2001, Sverker Runeson recounts how he got interested in Gunnar Johansson's noncognitivist approach to motion perception and started his career in his Perception Lab as a student, and later as a colleague, in the late 1960s, at Uppsala University. He tells about his first-hand experience of working with Johansson as he and his research group developed his point-light display method. Dr. Runeson describes the vivid atmosphere of the Lab and years of cooperation with James Gibson, of which he was an active participant. He describes how he got interested in Gibson's concept of direct perception which led him to the idea of “smart mechanisms” that directly register complex variables as does, for instance, the polar planimeter. He details how he formulated his influential theory and research regarding the “Kinematic Specification of Dynamics” (KSD) principle (that kinematic patterns specify those properties of objects and persons that are dynamically involved in generating the movements). He shares his thoughts on the state of ecological psychology in the late 1990s. In his current reflection, Dr. Runeson extends the discussion on a wide array of his research topics. The chapter also contains a short biography and a list of Sverker Runeson's ten most important publications.
Ulric Neisser – Interview and reflection

In this interview conducted by Agnes Szokolszky in 1997, Ulric Neisser, widely known as the “father of cognitive psychology,” recounts his early career leading to his employment at Cornell University where he became a colleague and friend of James and Eleanor Gibson. He tells about the profound change in his thinking in favor of the ecological approach and how this changed his research career. He recounts personal memories of working with the Gibsons at Cornell University in the 1980s when ecological research flourished. He also describes how the department and ecological research changed with Gibson's death and tells about the directions his own research took in this later period. An evaluation of ecological psychology and psychology at large concludes the interview. In his current reflection on the 1997 interview, Alan Costall invokes his personal memories and appreciation of Neisser and highlights why the present interview is most illuminating about Neisser's reaction against cognitive psychology. The chapter contains a short biography and a list of Neisser's ten most important publications.
A classroom-based study on the effectiveness of lexicographic resources

Machine-readable databases such as FrameNet (based on frame semantics) and WordNet (based on lexical semantic relations) appeared in the 1990s and became part of the lexicographic scene. The current study argues that FrameNet and WordNet can contribute to addressing the lexicographic challenge of sense delineation and elicit better performance from learners of English as a second language. The study examined the decoding and encoding performance of university students (n = 48) after exposure to modified lexicographic entries from FrameNet, WordNet, and the online Oxford Learner’s Dictionary. The classroom experiment assessed the accuracy of sense selection, user perplexity, and the accuracy of synonym production, and measured the response time for each question. An online survey followed the test, in order to collect further information about students’ dictionary use and evaluation of guide words and definitions. Results revealed significant intergroup differences in the response time, perplexity level, and encoding performance. Learners who consulted the modified FrameNet-based entries were the fastest and most successful among the three groups. Future studies can benefit from simplifying the name of frames in FrameNet and modifying the microstructure of the database for pedagogical purposes.
A new muon tomography detector for glaciers melting monitoring

Muon Tomography is a widely used technique, employed to perform imaging of the inner structure of large objects such as volcanoes, containers and pyramids.This technique takes advantages of the muon flux that reaches the surface of the Earth (∼ 70 -2 -1 -1 ), produced by the interaction between Cosmic Rays and the atmosphere.The difference between the measured muon flux, with and without a certain object in the field of view, allows to infer the thickness of material traversed by the muons.In case of glaciers, thanks to the different density of ice and rock, a directional flux measurement provides information on both the glacier thickness and the bedrock-ice interface depth.The goal of our project is the development of a detector able to measure the glacier thickness with a real time data taking and processing, in order to perform studies of the seasonal behavior and the glacier melting trend through the years.The detector goal is to be able to reconstruct the trajectory of muons with an angular resolution of order of 5 milliradians to obtain a precision on the target object thickness of the order of few meters.The detector is designed to be operable in open-sky and scalable.In this contribution, we will show the results of a set of simulations aimed to optimize the detector design and the foreseen performances of the designed detector.The results are obtained through a detector simulation and a track finding algorithm.The angular resolution of the reconstructed muon tracks will be shown considering different configurations of the triggering system and the quality of the tracks, together with a study of the dependence of the angular resolution on the direction of the incoming particle.
Deep Learning and Neural Networks

Neural networks, specifically known as artificial neural networks (ANNs), were developed by the inventor of one of the first neurocomputers, Dr. Robert Hecht-Nielsen. He defines a neural network as follows: “…a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs.”
A Birds Eye View to AI System

In this book, we assume that you are familiar with Python programming. In this introductory chapter, we explain why a data scientist should choose Python as a programming language. Then we highlight some situations where Python is not a good choice. Finally, we describe some good practices in application development and give some coding examples that a data scientist needs in their day-to-day job.
Rule of law and balance of rights in the COVID-19 pandemic

During the pandemic crisis that has been gripping the world for several months, balancing rights has been particularly difficult, taking, in the European Union (EU) and its Member States, to the point of sacrificing fundamental liberties considered as completely acquired. In light of that—maybe not yet closed experience, the paper moves from the question of how can a democratic state, based on the rule of law, successfully assume decisions related to its citizens’ health. After giving some consideration to the rule of law in the EU order and its relationship with the guarantee of human rights, it focuses on the EU digital COVID certificate as a tool for balancing different rights and takes then into question the so-called green pass introduced in Italy. In the end, following a quick overview of the choices made by other European countries, the paper reflects on which is the best way, for the public authorities, to intervene in the sphere of health decisions.
Improving Key Size and Bit-Security of Modified pqsigRM

The importance of post-quantum cryptography (PQC), which is secure against quantum algorithms, is growing larger. The pqsigRM is a code-based PQC digital signature scheme which was accepted in round 1 of the NIST's PQC standardization process. This scheme was revised as the modified pqsigRM by removing all known vulnerabilities during the standardization process. Its advantages include an efficient decoding process, proven security, and small signature sizes. Small signature sizes are very useful in signature schemes because we should send signatures in every signing process. However, it has a problem with large public key sizes. In this paper, we propose a method to reduce the public key size of modified pqsigRM. We change the public key into a systematic form, improve its parameters, and fine-tune the bit-security for each parameter. Thus, we can reduce to 0.20, 0.40, and 0.23 times smaller public key sizes compared to the modified pqsigRM parameters for 80, 128, and 256 security levels, respectively. Also, we are able to obtain a larger exact bit-security for these parameters.
Improving Scene Text Recognition With A Combinative Image Augmentation Approach

Scene text recognition plays an important role in various intelligent systems today such as robotic process automation and self-driving cars. These systems require knowledge of the surrounding scenery, where the words in the scene hold a lot of valuable information. For instance, scene text recognitions can serve the development of smart tourism, smart museums, and self-propelled robots. To increase the practical applicability of the solution, the recognition model needs to meet efficiently both accuracies and processing time. However, before constructing the model, most existing scene text recognition frameworks underrate the importance of a reliable and well-served augmentation stage, all the images in the dataset are often applied with common augmentation functions. In this paper, we present a combinative augmentation framework that takes random augmentation functions from different types into combinations for each individual image. In addition, the framework also randomizes the number of functions taken and every specific parameter for a particular function on the image. Thus, all these tweaks help to greatly increase the pattern diversity in images and pose an improvement in the model evaluation. Evaluated on both seen and unseen test datasets, the framework increased the accuracy by an average of 5,02% on the NRTR model and 2.36% on the VietOCR model.
Delegated Credentials for TLS

The organizational separation between the operator of a TLS server andthe certificate authority that provides it credentials can causeproblems, for example when it comes to reducing the lifetime ofcertificates or supporting new cryptographic algorithms. This documentdescribes a mechanism to allow TLS server operators to create theirown credential delegations without breaking compatibility with clientsthat do not support this specification.
PENGARUH METODE DISCOVERY LEARNING TERHADAP HASIL  BELAJAR PKN DAN MOTIVASI BELAJAR SISWA KELAS V SDN II TAMENG GIRIWOYO

Abstrak Tujuan Penelitian ini adalah untuk 1) melihat pengaruh penggunaan Metode Discovery Learning terhadap hasil belajar PKN kelas V SDN II Tameng Giriwoyo, 2) melihat pengaruh Metode Discovery Learning terhadap motivasi belajar kelas V SDN II Tameng Giriwoyo.  Penelitian ini adalah penelitian quasi experimen. Populasi pada penelitian ini adalah seluruh siswa SDN II Tameng dan sampel adalah kelas V SDN II Tameng Giriwoyo. Data dikumpulkan melalui tes untuk melihat hasil belajar siswa dan angket serta observasi untuk melihat pengaruh Metode Discovery Learning dan motivasi belajar terhadap hasil belajar siswa kelas V SDN II Tameng Giriwoyo. Hasil penelitian adalah 1) Ada pengaruh penggunaan Metode Discovery Learning terhadap hasil belajar PKN siswa Kelas V SDN II Tameng Giriwoyo 2) Ada pengaruh Metode Discovery Learning terhadap motivasi belajar PKN siswa Kelas V SDN II Tameng Giriwoyo Kata Kunci: Metode Discovery Learning, Motivasi Belajar, Hasil Belajar Abstract This study aims 1) to determine the effect of the Discovery Learning method for learning outcomes PKN class V SDN II Tameng Giriwoyo, 2 ) the influence of Discovery Learning Method on motivation in class V SDN II Tameng Giriwoyo. This research is a quasi experiment. The population in this study were all students of SDN II Tameng and the sample is a class V SDN II Tameng Giriwoyo. Data were collected through tests to see student learning outcomes and questionnaires and observation to see the effect of the Discovery Learning Methods and motivation on learning outcomes of students of class V SDN II Tameng Giriwoyo . The results of the research are: 1) There is the effect of the Discovery Learning Method to the learning outcomes of students PKN Class V SDN II Tameng Giriwoyo 2 ) There is an effect Discovery Learning method to motivate students to learn PKN Class V SDN II Tameng Giriwoyo Keywords : Discovery Method of Learning, Motivation, Learning Outcomes
알루미늄 잉곳･재처리재 복합빌렛을 이용한 압출기술

It has been studied that the aluminum extrusion with the ingot-recycled composite billet that is casted. The billet is composed of the inner rod with the recycled and the outer ring with the ingot aluminum. For easy producing the tensile specimens to evaluate the bonding strength between recycled and ingot material, the extrusion die was designed. Two types of the billet are extruded. One is a composite billet that is casted. The other is an assembled billet with the turned bars. The strength is measured from tensile tests with extruded specimens. The effect on the strength of the oxidized layer between the materials has been researched with EDS analysis.
ANALISIS BUKU: KEUTUHAN TAHAPAN PEMBELAJARAN IPA DENGAN PENDEKATAN SAINTIFIK PADA BUKU SISWA SEKOLAH DASAR KURIKULUM 2013

This study aimed to know the integrity of the learning stages with a scientific approach in the book of elementary school students curriculum specialized in the field of IPA 2013. Analysis of the book is based on the importance of a scientific approach to development, the importance of books as learning guides, and previous research gaps. This research is a descriptive research in which researchers describe the activities in the book according to the facts. The books that analyzed are primary student books grade 1, 2, 3, 4 and 5. Analyses were performed by using the instrument of accession rubric analysis that has been processed by researchers. From the analysis, obtained information that, there are no activites in science which apply the learning stages with the full scientific approach intact (5 stages). So this book must be repaired by the goverment ant teacher. Besides that, teachers need to do additional activities in order to maximize learning with scientific approach.
LibGuides: Data Resources for Economics and Economists: Help with R/SAS/SPSS/Stata

Guides and introductions to using various programs for statistical analysis. No statistical program will provide you with an emotionally-rewarding relationship, but these guides will help make the couples therapy more productive.
TEACHING ENGLISH LANGUAGE AND CULTURE THROUGH ENGLISH LITERATURE

It is commonly believed that learning language is also understood as learning culture. This means that when somebody learns a new language, say for example, English, he or she will automatically also learn English culture. In some cases, this belief may be true. In other cases, however, the direction of learning language and culture is not always linear. A sentence produced by a language learner may linguistically and culturally be correct for the other learners of the same language background, but when it is spoken to someone else of different language background it might cause misunderstanding. This misunderstanding occurs not because of the words used in the sentence are weird or the grammar applied is violating the rule of English language system, but it is because of the utterance is not culturally accepted.  It is this difference of culture that causes such kind of  misunderstanding. To this phenomenon the teaching of literature is assumed to be able to minimize this misunderstanding.
A Neural Network Lab Experiment

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Session 2793 A Neural Network Lab Experiment Robert Lynn Mueller The Pennsylvania State University New Kensington Campus Abstract Neural networks are becoming widely used in complex control problems. Many academic exercises approach neural network applications using only software simulations; however, simulations alone do not give students a full appreciation of the power and complexity of neural network-based controls. This paper describes a laboratory experiment that uses a temperature and airflow process simulator to demonstrate neural network control applications. The simulator is fundamentally a temperature controller in which large-scale changes in forced airflow produce significant changes in heat load. The initial labs use PID control techniques to solve the temperature control problem and to demonstrate the problem that PID controllers have with large disturbances. The following labs address the same problem using a neural network control strategy. An actual neural network controller is built and used to perform the same temperature control as the classical PID system. Capabilities and drawbacks of neural network control are demonstrated. Introduction The classical PID feedback control system is shown in Figure 1. The setpoint (SP) is the system’s input and the process variable (PV) is the output. The PID controller uses the error signal (SP minus the PV) to calculate a value for the manipulated variable (MV). In turn, the value of the MV then determines the value of the process variable. Unexpected changes to the process output can be caused by system disturbances, and it is the PID controller’s job to adjust the MV to account for these changes. Based on the characteristics of the process, the PID controller is tuned to achieve the desired system response. Unfortunately, when the disturbance input varies over a large range, the PID controller’s ability to achieve the desired system response is greatly reduced. For these situations, a more advanced control scheme is necessary. One possible method to overcome large disturbance variations is a neural network (NN)-based control strategy.