bluuebunny/crossref_metadata_2025 huggingface dataset:
R. G. Collingwood and the Second World War
Authors: Johnson Peter
Published: November 2020

R.G Collingwood’s prolific works have shaped the debate about the nature of civilisation and its status as an ideal governing art, morality and social and political existence. As one of the few philosophers to subject civilisation and barbarism to close analysis, R.G Collingwood was acutely aware of the interrelationship between philosophy and history.

In Peter Johnson’s highly original work, R.G Collingwood and the Second World War: Facing Barbarism, Johnson combines historical, biographical and philosophical discussion in order to illuminate Collingwood’s thinking and create the first in-depth analysis of R.G Collingwood’s responses to the Second World War.

Peter Johnson examines how R.G Collingwood’s responses to the war developed from his early rejection of appeasement as a policy for dealing with Hitler’s Germany, through his view of Britain’s prosecution of the war once the battle with Nazism had been joined, and finally to his picture of a future liberal society in which civility is its overriding ideal.
Drawing Investigations
Authors: Casey Sarah , Davies Gerry
Published: November 2020

There is a wealth of historical examples of artists using drawing to probe elusive ideas, explore unknown territories and make sense of complex information. There is also growing evidence that a type of fine art drawing has re-emerged to have the capacity to be a powerful, interdisciplinary research tool. However, these contemporary examples are as yet disparate, unconsolidated and under-researched.

Identifying and evaluating this impulse in international examples of contemporary drawing offers the prospect of a 'depictive turn' - a fresh critical perspective on contemporary drawing practice and thinking in a way that demonstrates drawing's relevance to other fields of research. Topics covered are of international and global significance, such as medical research, global warming, and international conflict. This book provides an accessible introduction to this exciting and timely development in drawing practice and research which is currently critically unexamined.
The Schaubühne Berlin under Thomas Ostermeier
Authors: Taylor-Batty Mark , Quigley Karen , Schulze Daniel , Cameron David , Angelaki Vicky , Finburgh Clare , Wickstrom Maurya , Fragkou Marissia , Reynolds James , Brater Enoch , Anderson Michael , Wotzko Rebecca
Published: November 2020

On the 20th anniversary of artistic director Thomas Ostermeier’s time at Berlin’s Schaubühne Theatre, this important study reflects on the contribution the theatre has made to contemporary theatre, not just in Germany, but around the world.

Ostermeier has kept extending and refining the important notion of German Regietheater (directors’ theatre) with the Schaubühne Theatre being its internationally famous birthplace under the previous artistic direction of Peter Stein. Through doing so, the work produced at the Schaubühne has transgressed established divides of text-based and devised theatre, and blurred the borders between theatre and dance.

Combining scholarly reflection with interview material, this essential collection investigates how theatre has been reinvented by the Schaubühne under Ostermeier’s tenure, bringing together international theatre scholars such as Erika Fischer-Lichte, Marvin Carlson, JitkaGoriauxPelechova, Benjamin Fowler, Ramona Mosse and Sabine Huschka. This study also considers productions by some of Ostermeier’s past and present collaborators, such as Katie Mitchell, Falk Richter and Sasha Waltz.

This edition also includes the first English translation of Schaubühne's original manifesto “The Mission” (1999); a contribution from Ostermeier's long-term co-director Jens Hillje; a contribution from Hans-Thies Lehmann on Falk Richter; and an interview with Thomas Ostermeier by Clare Finburgh Delijani.
The Christian Encounter with Muhammad
Authors: Tieszen Charles
Published: November 2020

To medieval Christian communities, Muhammad–the leader of a religious and political community that grew quickly and with relative success–was an enigma. Did God really send him as a prophet with a revelation? Was the political success of the community he founded a divine validation? Or were he and his followers inspired by the something evil? Medieval Christians of all kinds posed these questions and tried to answer them in their attempts to make sense of his appearance.

In spite of their attempts, modern Christians continued to be puzzled by Muhammad. The Qur'an provided a framework for understanding and honouring Jesus; was it possible for Christians to reciprocate with regard to Muhammad? In light of persisting incendiary remarks made by Christians about Muhammad, could something more productive and respectful be said about him?

This book draws these two eras of literature about the prophethood of Muhammad together. Doing so achieves two main goals. First, this book introduces some of the most important medieval assessments of Muhammad–resources often neglected by modern and contemporary studies–to a readership that might otherwise find such texts inaccessible. Second, this book applies the same analysis to modern assessments of Muhammad that it does to medieval texts in order to demonstrate the continuities and disparities present in literature from the two eras. Having done so, the book is able to offer a fresh appraisal of Muhammad that considers the widest possible history of the ways in which Christians assessed his prophethood.
The International LGBT Rights Movement
Authors: Belmonte Laura A.
Published: November 2020

During the past three decades, the international lesbian, gay, bisexual, and transgender rights movement has made significant advances, but millions of LGBT people continue to live in fear in nations where homosexuality remains illegal. The International LGBT Rights Movement offers a comprehensive account of this global force, from its origins in the early 1970s to its crucial place in world affairs today. Belmonte examines the movement's goals, the disputes about its mission, and its rise to international importance.

The International LGBT Rights Movement provides a thorough introduction to the movement’s history, highlighting the key figures, controversies, and organizations, including Amnesty International and the International Lesbian and Gay Human Rights Commission. With a global scope which considers both state and non-state actors, the book explores transnational movements to challenge homophobia, while also assessing the successes and failures of these efforts along the way.
The Model as Performance
Authors: Brejzek Thea , Wallen Lawrence
Published: November 2020

The Model as Performance investigates the history and development of the scale model from the Renaissance to the present from a scenographic perspective and a performative paradigm that explores what the model can do and how it is used in theatre and architecture. It provides a comprehensive historical context and theoretical framework for theatre scholars, scenographers, artists and architects interested in the model’s reality-producing capacity and its recent emergence in contemporary art practice and exhibition. For the undergraduate student, it provides a historical survey of the model, and to the postgraduate student, it opens up a new methodological approach.

Introducing a typology of the scale model beyond the iterative and the representative model, the authors identify the autonomous model as a provocative construction between past and present, idea and reality that challenges and redefines the relationship between object, viewer and environment. Case studies include Brunelleschi’s dome models and Bel Geddes’ Futurama, Mies van der Rohe’s mock ups and Zumthor’s atmospheric models, Anna Viebrock’s life size boxes and Herzog & de Meuron’s miniature styrofoam exhibits.
Islamic Law
Authors: Ahmad Ahmad Atif
Published: November 2020

Introducing undergraduate students to Islamic law, this accessible textbook does not presume legal or technical knowledge. Drawing on a comparative approach, it encourages students to think through the issues of the application of Islamic law where Muslims live as a majority and where they live as a minority, including the USA, Saudia Arabia, Egypt, Pakistan.

The book surveys the historical development as well as the contemporary contexts of Islamic law. In distilling the history of Islamic law for non-specialists, the author covers important topics such as the development and transformation of Islamic institutions before and after colonialism. Coverage of Islamic law across contemporary contexts draws on real case material, and allows for discussion of Islam as a legal and a moral code that is activated both inside and outside the court.

Readers will learn about rituals, dietary restrictions, family, contracts and property, lawful and unlawful gain, criminal law and punishments, and what makes a government legitimate in the eyes of Muslim individuals and authorities.
Directing with the Michael Chekhov Technique
Authors: Monday Mark
Published: November 2020

Directing with the Michael Chekhov Technique explores the collaborative process between a play’s director and the entire production team, making the journey of a production process cohesive using the Michael Chekhov Technique.

No other technique provides the tools for both actor and director to communicate as clearly as does Michael Chekhov. Directing with the Michael Chekhov Technique is the first book to apply the insights of this celebrated technique to the realities of directing a theatrical production

The book chronicles the journey of a play, from conception through production, through the eyes of the director. Drawn from the author’s rehearsal journals, logs and notes from each performance, the reader is shown how to arrive at a concept, create a concept statement and manage the realization of the play, utilizing specific techniques from Michael Chekhov to solve problems of acting and design

As with all books in the Theatre Arts Workbook series, Directing with the Michael Chekhov Technique will include online video exercises, “Teaching Tip” boxes which streamline the book for teachers, and a useful Further Reading section
Costume in Performance
Authors: Barbieri Donatella
Published: November 2020

This beautifully illustrated book conveys the centrality of costume to live performance. Finding associations between contemporary practices and historical manifestations, costume is explored in six thematic chapters, examining the transformative ritual of costuming; choruses as reflective of society; the grotesque, transgressive costume; the female sublime as emancipation; costume as sculptural art in motion; and the here-and-now as history.

Viewing the material costume as a crucial aspect in the preparation, presentation and reception of live performance, the book brings together costumed performances through history. These range from ancient Greece to modern experimental productions, from medieval theatre to modernist dance, from the “fashion plays” to contemporary Shakespeare, marking developments in both culture and performance.

Revealing the relationship between dress, the body and human existence, and acknowledging a global as well as an Anglo and Eurocentric perspective, this book shows costume’s ability to cross both geographical and disciplinary borders. Through it, we come to question the extent to which the material costume actually co-authors the performance itself, speaking of embodied histories, states of being, and never-before imagined futures, which come to life in the temporary space of the performance.

With a contribution by Melissa Trimingham, University of Kent, UK.
Gallery Sound
Authors: Kelly Caleb
Published: November 2020

Sound is an integral part of contemporary art. Once understood to be a marginal practice, increasingly we encounter sound in art exhibitions through an array of sound making works in various art forms, at times played to very high audio levels. However, works of art are far from the only thing one might hear: music performances, floor talks, exhibition openings and the noisy background sounds that emanate from the gallery café fill contemporary exhibition environments. Far from being hallowed spaces of quiet reflection, what this means is that galleries have swiftly become very noisy places. As such, a straightforward consideration of artworks alone can then no longer account for our experiences of art galleries and museums. To date there has been minimal scholarship directed towards the intricacies of our experiences of sound that occur within the bounds of this purportedly ‘visual’ art space. Kelly addresses this gap in knowledge through the examination of historical and contemporary sound in gallery environments, broadening our understanding of artists who work with sound, the institutions that exhibit these works, and the audiences that visit them. Gallery Sound argues for the importance of all of the sounds to be heard within the walls of art spaces, and in doing so listens not only to the deliberate inclusion of sound within the art gallery in the form of artworks, performances, and music, but also to its incidental sounds, such as their ambient sounds and the noise generated by audiences. More than this, however, Gallery Sound turns its attention to the ways in which the acoustic characteristics specific to gallery spaces have been mined by artists for creative outputs, ushering in entirely new art forms.
Bread
Authors: Shershow Scott Cutler
Published: November 2020

Object Lessons is a series of short, beautifully designed books about the hidden lives of ordinary things.

Bread is an object that is always in process of becoming something else: flower to grain, grain to dough, dough to loaf, loaf to crumb. Bread is also often a figure or vehicle of social cohesion: from the homely image of “breaking bread together” to the mysteries of the Eucharist. But bread also commonly figures in social conflict — sometimes literally, in the “bread riots” that punctuate European history, and sometimes figuratively, in the ways bread operates as ethnic, religious or class signifier. Drawing on a wide range of sources, from the scriptures to modern pop culture, Bread tells the story of how this ancient and everyday object serves as a symbol for both social communion and social exclusion.

Object Lessons is published in partnership with an essay series in The Atlantic.
After Sound
Authors: Barrett G Douglas
Published: November 2020

After Sound considers contemporary art practices that reconceive music beyond the limitation of sound. This book is called After Sound because music and sound are, in Barrett's account, different entities. While musicology and sound art theory alike typically equate music with pure instrumental sound, or absolute music, Barrett posits music as an expanded field of artistic practice encompassing a range of different media and symbolic relationships. The works discussed in After Sound thus use performance, text scores, musical automata, video, social practice, and installation while they articulate a novel aesthetic space for a radically engaged musical practice. Coining the term "critical music," this book examines a diverse collection of art projects which intervene into specific political and philosophical conflicts by exploring music's unique historical forms.

Through a series of intimate studies of artworks surveyed from the visual and performing arts of the past ten years-Pussy Riot, Ultra-red, Hong-Kai Wang, Peter Ablinger, Pauline Boudry and Renate Lorenz, and others-After Sound offers a significant revision to the way we think about music. The book as a whole offers a way out of one of the most vexing deadlocks of contemporary cultural criticism: the choice between a sound art effectively divorced from the formal-historical coordinates of musical practice and the hermetic music that dominates new music circles today.
Background Noise Second Edition
Authors: LaBelle Brandon
Published: November 2020

Background Noise follows the development of sound as an artistic medium and illustrates how sound is put to use within modes of composition, installation, and performance. While chronological in its structure, Brandon LaBelle’s book is informed by spatial thinking - weaving architecture, environments, and the specifics of location into the work of sound, with the aim of formulating an expansive history and understanding of sound art.

At its center the book presupposes an intrinsic relation between sound and its location, galvanizing acoustics, sound phenomena, and the environmental with the tensions inherent in what LaBelle identifies as sound’s relational dynamic. For the author, this is embedded within sound’s tendency to become public expressed in its ability to travel distances, foster cultural expression, and define spaces while being radically flexible.

This second expanded edition includes new chapter about the future of sound art, revisions to the text as well as a new preface by Brandon LaBelle. Intersecting material analysis with theoretical frameworks spanning art and architectural theory, performance studies, and media theory, Background Noise makes the case that sound art should be at the core of contemporary culture.
Sock
Authors: Adrian Kim
Published: November 2020

Object Lessons is a series of short, beautifully designed books about the hidden lives of ordinary things.

Who ponders the sock? This common object is something people tug on and take off daily with hardly a thought. Unraveling the garment’s history, construction, and use, Kim Adrian’s Sock reintroduces us to our own bodies— vulnerable, bipedal, and flawed.

Sock reminds us that extraordinary secrets live in mundane material realities, and shows how this floppy, often smelly, sometimes holey piece of clothing, whether machine-made or hand-knit, can also serve as an anatomy lesson, a physics primer, a love letter, a weapon, a fetish, and a fashion statement.

Object Lessons is published in partnership with an essay series in The Atlantic.
Immanence and Immersion
Authors: Schrimshaw Will
Published: November 2020

Immersion is the new orthodoxy. Within the production, curation and critique of sound art, as well as within the broader fields of sound studies and auditory culture, the immersive is routinely celebrated as an experiential quality of sound, the value of which is inherent yet strengthened through dubious metaphysical oppositions to the visual. Yet even within the visual arts an acoustic condition grounded in Marshall McLuhan's metaphorical notion of acoustic space underwrites predispositions towards immersion. This broad conception of an acoustic condition in contemporary art identifies the envelopment of audiences and spectators who no longer perceive from a distance but immanently experience immersive artworks and environments.

Immanence and Immersion takes a critical approach to the figures of immersion and interiority describing an acoustic condition in contemporary art. It is argued that a price paid for this predisposition towards immersion is often the conceptual potency and efficacy of the work undertaken, resulting in arguments that compound the marginalisation and disempowerment of practices and discourses concerned with the sonic. The variously phenomenological, correlational and mystical positions that support the predominance of the immersive are subject to critique before suggesting that a stronger distinction between the often confused concepts of immersion and the immanence might serve as a means of breaking with the figure of immersion and the circle of interiority towards attaining greater conceptual potency and epistemological efficacy within the sonic arts.
Resonant Matter
Authors: Koepnick Lutz
Published: November 2020

In Resonant Matter, Lutz Koepnick considers contemporary sound and installation art as a unique laboratory of hospitality amid inhospitable times. Inspired by Ragnar Kjartansson’s nine-channel video installation The Visitors (2012), the book explores resonance—the ability of objects to be affected by the vibrations of other objects—as a model of art’s fleeting promise to make us coexist with things strange and other. In a series of nuanced readings, Koepnick follows the echoes of distant, unexpected, and unheard sounds in twenty-first century art to reflect on the attachments we pursue to sustain our lives and the walls we need to tear down to secure possible futures. The book’s nine chapters approach The Visitors from ever-different conceptual angles while bringing it into dialogue with the work of other artists and musicians such as Lawrence Abu Hamdan, Guillermo Galindo, Mischa Kuball, Philipp Lachenmann, Alvien Lucier, Teresa Margolles, Carsten Nicolai, Camille Norment, Susan Philipsz, David Rothenberg, Juliana Snapper, and Tanya Tagaq. With this book, Koepnick situates resonance as a vital concept of contemporary art criticism and sound studies. His analysis encourages us not only to expand our understanding of the role of sound in art, of sound art, but to attune our critical encounter with art to art’s own resonant thinking.
Ivo Papazov’s Balkanology
Authors: Silverman Carol
Published: November 2020

From countercultural resistance to world music craze, Balkan music captured the attention of global audiences. Balkanology, the 1991 quintessential album of Bulgarian music, highlights this moment of unbridled creativity. Seasoned musicians all over the world are still in awe of the technical abilities of the musicians in Ansambl Trakia–their complex additive rhythms, breakneck speeds, stunning improvisations, dense ornamentation, chromatic passages, and innovative modulations. Bridging folk, jazz, and rock sensibilities, Trakia’s music has set the standard for Bulgarian music until today, and its members, especially Ivo Papazov, are revered stars at home and abroad. The album reveals how Romani (Gypsy) artists resisted the state’s prohibition against Romani music and fashioned a genre that became a youth movement in Bulgaria, and then a world music phenomenon. Balkanology underscores the political, economic and social roles of music during socialism and postsocialism.
The Pornography of Meat
Authors: Adams Carol J.
Published: November 2020

For 30 years, since the publication of her landmark book The Sexual Politics of Meat, Carol J. Adams and her readers have continued to document and hold to account the degrading interplay of language about women, domesticated animals, and meat in advertising, politics, and media. Serving as sequel and visual companion, The Pornography of Meat charts the continued influence of this language and the fight against it.
Near Dark
Authors: Abbott Stacey
Published: November 2020

First released in 1987, Near Dark is a vampire film set in the contemporary American Midwest that tells the story of Caleb, a half-vampire trying to decide whether to embrace his vampire nature or return to his human family. The film, an early work of the now-established director Kathryn Bigelow, skilfully mixes genre conventions, combining gothic tropes with those of the Western, road movie and film noir, while also introducing elements of the outlaw romance genre.

Stacey Abbott’s study of the film addresses it as a genre hybrid that also challenges conventions of the vampire film. The vampires are morally ambiguous and undermine the class structures that have historically defined stories of the undead. These are not aristocrats but instead they capture the allure and horror of the disenfranchised and the underclass.

As Abbott describes, Near Dark was crucial in consolidating Bigelow’s standing as a director of significance at an early point in her career, not simply because of her visual art background, but because of the way in which she would from Near Dark onward re-envision other traditionally mainstream genres of filmmaking.
The Empire Strikes Back
Authors: Harrison Rebecca
Published: November 2020

The Empire Strikes Back (1980), the second film in the original Star Wars trilogy, is often cited as the ‘best’ and most popular Star Wars movie. In her compelling study, Rebecca Harrison draws on previously unpublished archival research to reveal a variety of original and often surprising perspectives on the film, from the cast and crew who worked on its production through to the audiences who watched it in cinemas.

Harrison guides readers on a journey that begins with the film’s production in 1979 and ends with a discussion about its contemporary status as an object of reverence and nostalgia. She demonstrates how Empire’s meaning and significance has continually shifted over the past 40 years not only within the franchise, but also in broader conversations about film authorship, genre, and identity.

Offering new insights and original analysis of Empire via its cultural context, production history, textual analysis, exhibition, reception, and post-1980 re-evaluations of the film, the book provides a timely and relevant reassessment of this enduringly popular film.
Cada-Fvae-Gan: Adversarial Training for Few-Shot Event Detection
Authors: Zhu Xiaoxiang , Hou Mengshu , Zeng Xiaoyang , Zhu Hao
Published: November 2020

Most supervised systems of event detection (ED) task reply heavily on manual annotations and suffer from high-cost human effort when applied to new event types. To tackle this general problem, we turn our attention to few-shot learning (FSL). As a typical solution to FSL, cross-modal feature generation based frameworks achieve promising performance on images classification, which inspires us to advance this approach to ED task. In this work, we propose a model which extracts latent semantic features from event mentions, type structures and type names, then these three modalities are mapped into a shared low-dimension latent space by modality-specific aligned variational autoencoder enhanced by adversarial training. We evaluate the quality of our latent representations by training a CNN classifier to perform ED task. Experiments conducted on ACE2005 dataset show an improvement with 12.67% on F1-score when introducing adversarial training to VAE model, and our method is comparable with existing transfer learning framework for ED.
Injecting Event Knowledge into Pre-Trained Language Models for Event Extraction
Authors: Yang Zining , Zhan Siyu , Hou Mengshu , Zeng Xiaoyang , Zhu Hao
Published: November 2020

The recent pre-trained language model has made great success in many NLP tasks. In this paper, we propose an event extraction system based on the novel pre-trained language model BERT to extract both event trigger and argument. As a deep-learningbased method, the size of the training dataset has a crucial impact on performance. To address the lacking training data problem for event extraction, we further train the pretrained language model with a carefully constructed in-domain corpus to inject event knowledge to our event extraction system with minimal efforts. Empirical evaluation on the ACE2005 dataset shows that injecting event knowledge can significantly improve the performance of event extraction.
Joint Extraction of Entity and Relation with Information Redundancy Elimination
Authors: Shen Yuanhao , Han Jungang
Published: November 2020

To solve the problem of redundant information and overlapping relations of the entity and relation extraction model, we propose a joint extraction model. This model can directly extract multiple pairs of related entities without generating unrelated redundant information. We also propose a recurrent neural network named Encoder-LSTM that enhances the ability of recurrent units to model sentences. Specifically, the joint model includes three sub-modules: the Named Entity Recognition sub-module consisted of a pre-trained language model and an LSTM decoder layer, the Entity Pair Extraction sub-module which uses Encoder-LSTM network to model the order relationship between related entity pairs, and the Relation Classification submodule including Attention mechanism. We conducted experiments on the public datasets ADE and CoNLL04 to evaluate the effectiveness of our model. The results show that the proposed model achieves good performance in the task of entity and relation extraction and can greatly reduce the amount of redundant information.
A Pattern-Mining Driven Study on Differences of Newspapers in expressing Temporal Information
Authors: Fu Yingxue , Dhonnchadha Elaine Uí
Published: November 2020

This paper studies the differences between different types of newspapers in expressing temporal information, which is a topic that has not received much attention. Techniques from the fields of temporal processing and pattern mining are employed to investigate this topic. First, a corpus annotated with temporal information is created by the author. Then, sequences of temporal information tags mixed with part-of-speech tags are extracted from the corpus. The TKS algorithm is used to mine skip-gram patterns from the sequences. With these patterns, the signatures of the four newspapers are obtained. In order to make the signatures uniquely characterize the newspapers, we revise the signatures by removing reference patterns. Through examining the number of patterns in the signatures and revised signatures, the proportion of patterns containing temporal information tags and the specific patterns containing temporal information tags, it is found that newspapers differ in ways of expressing temporal information.
Moderation Effect of Software Engineers’ Emotional Intelligence (EQ) between their Work Ethics and their Work Performance
Authors: Khatun Shafia , Salleh Norsaremah
Published: November 2020

In today’s world, software is being used in every sector, be it education, healthcare, security, transportation, finance and so on. As software engineers are affecting society greatly, if they do not behave ethically, it could cause widespread damage, such as the Facebook-Cambridge Analytica scandal in 2018. Therefore, investigating the ethics of software engineers and the relationships it has with other interpersonal variables such as work performance is important for understanding what could be done to improve the situation. Software engineers work in rapidly-changing business environments which lead to a lot of stress. Their emotions are important for dealing with this, and can impact their ethical decision-making. In this quantitative study, the researcher aims to investigate whether Emotional Intelligence (EQ) moderates the relationship between work ethics of software engineers and their work performance using hierarchical multiple regression analysis in SPSS. The findings have found that EQ does significantly moderate the relationship between work ethics and work performance. These findings provide valuable information for improving the ethical behaviour of software engineers.
Network Defense in an End-to-End Paradigm
Authors: R. Simpson William , E. Foltz Kevin
Published: November 2020

Network defense implies a comprehensive set of software tools to preclude malicious entities from conducting nefarious activities. For most enterprises at this time, that defense builds upon a clear concept of the fortress approach. Many of the requirements are based on inspection and reporting prior to delivery of the communication to the intended target. These inspections require decryption of packets when encrypted. This decryption implies that the defensive suite has access to the private keys of the servers that are the target of communication. This is in contrast to an end-to-end paradigm where known good entities can communicate directly with each other. In an end-to-end paradigm, maintaining confidentiality through unbroken end-toend encryption, the private key resides only with the holder-of-key in the communication and on a distributed computation of inspection and reporting. This paper examines a formulation that is pertinent to the Enterprise Level Security (ELS) framework.
Time Series Classification with Meta Learning
Authors: Gupta Aman , Raghav Yadul
Published: November 2020

Meta-Learning, the ability of learning to learn, helps to train a model to learn very quickly on a variety of learning tasks; adapting to any new environment with a minimal number of examples allows us to speed up the performance and training of the model. It solves the traditional machine learning paradigm problem, where it needed a vast dataset to learn any task to train the model from scratch. Much work has already been done on meta-learning in various learning environments, including reinforcement learning, regression task, classification task with image, and other datasets, but it is yet to be explored with the time-series domain. In this work, we aimed to understand the effectiveness of meta-learning algorithms in time series classification task with multivariate time-series datasets. We present the algorithm’s performance on the time series archive, where the result shows that using meta-learning algorithms leads to faster convergence with fewer iteration over the non-meta-learning equivalent.
Deep Learning Roles based Approach to Link Prediction in Networks
Authors: Gupta Aman , Raghav Yadul
Published: November 2020

The problem of predicting links has gained much attention in recent years due to its vast application in various domains such as sociology, network analysis, information science, etc. Many methods have been proposed for link prediction such as RA, AA, CCLP, etc. These methods required hand-crafted structural features to calculate the similarity scores between a pair of nodes in a network. Some methods use local structural information while others use global information of a graph. These methods do not tell which properties are better than others. With an in-depth analysis of these methods, we understand that one way to overcome this problem is to consider network structure and node attribute information to capture the discriminative features for link prediction tasks. We proposed a deep learning Autoencoder based Link Prediction (ALP) architecture for the latent representation of a graph, unified with non-negative matrix factorization to automatically determine the underlying roles in a network, after that assigning a mixed-membership of these roles to each node in the network. The idea is to transfer these roles as a feature vector for the link prediction task in the network. Further, cosine similarity is applied after getting the required features to compute the pairwise similarity score between the nodes. We present the performance of the algorithm on the real-world datasets, where it gives the competitive result compared to other algorithms.
Phone Clustering Methods for Multilingual Language Identification
Authors: Mabokela Ronny
Published: November 2020

This paper proposes phoneme clustering methods for multilingual language identification (LID) on a mixed-language corpus. A one-pass multilingual automated speech recognition (ASR) system converts spoken utterances into occurrences of phone sequences. Hidden Markov models were employed to train multilingual acoustic models that handle multiple languages within an utterance. Two phoneme clustering methods were explored to derive the most appropriate phoneme similarities between the target languages. Ultimately a supervised machine learning technique was employed to learn the language transition of the phonotactic information and engage the support vector machine (SVM) models to classify phoneme occurrences. The system performance was evaluated on mixed-language speech corpus for two South African languages (Sepedi and English) using the phone error rate (PER) and LID classification accuracy separately. We show that multilingual ASR which fed directly to the LID system has a direct impact on LID accuracy. Our proposed system has achieved an acceptable phone recognition and classification accuracy in mixed-language speech and monolingual speech (i.e. either Sepedi or English). Data-driven, and knowledge-driven phoneme clustering methods improve ASR and LID for code-switched speech. The data-driven method obtained the PER of 5.1% and LID classification accuracy of 94.5% when the acoustic models are trained with 64 Gaussian mixtures per state.
Resolving Code Smells in Software Product Line using Refactoring and Reverse Engineering
Authors: Ouali Sami
Published: November 2020

Software Product Lines (SPL) are recognized as a successful approach to reuse in software development. Its purpose is to reduce production costs. This approach allows products to be different with respect of particular characteristics and constraints in order to cover different markets. Software Product Line engineering is the production process in product lines. It exploits the commonalities between software products, but also to preserve the ability to vary the functionality between these products. Sometimes, an inappropriate implementation of SPL during this process can conduct to code smells or code anomalies. Code smells are considered as problems in source code which can have an impact on the quality of the derived products of an SPL. The same problem can be present in many derived products from an SPL due to reuse. A possible solution to this problem can be the refactoring which can improve the internal structure of source code without altering external behavior. This paper proposes an approach for building SPL from source code. Its purpose is to reduce code smells in the obtained SPL using refactoring source code. Another part of the approach consists on obtained SPL’s design based on reverse engineering.
Face Recognition using PCA Integrated with Delaunay Triangulation
Authors: Adeshara Kavan , Elangovan Vinayak
Published: November 2020

Face Recognition is most used for biometric user authentication that identifies a user based on his or her facial features. The system is in high demand, as it is used by many businesses and employed in many devices such as smartphones and surveillance cameras. However, one frequent problem that is still observed in this user-verification method is its accuracy rate. Numerous approaches and algorithms have been experimented to improve the stated flaw of the system. This research develops one such algorithm that utilizes a combination of two different approaches. Using the concepts from Linear Algebra and computational geometry, the research examines the integration of Principal Component Analysis with Delaunay Triangulation; the method triangulates a set of face landmark points and obtains eigenfaces of the provided images. It compares the algorithm with traditional PCA and discusses the inclusion of different face landmark points to deliver an effective recognition rate.
Obstacle Avoidance and Path Finding for Mobile Robot Navigation
Authors: Kotikalapudi Poojith , Elangovan Vinayak
Published: November 2020

This paper investigates different methods to detect obstacles ahead of a robot using a camera in the robot, an aerial camera, and an ultrasound sensor. We also explored various efficient path finding methods for the robot to navigate to the target source. Single and multi-iteration anglebased navigation algorithms were developed. The theta-based path finding algorithms were compared with the Dijkstra’s Algorithm and their performance were analyzed.
THE INTEGRATION OF BIM AND GIS IN CONSTRUCTION PROJECT – A DATA CONSISTENCY REVIEW
Authors: Basir W. N. F. W. A. , Ujang U. , Majid Z. , Azri S. , Choon T. L.
Published: November 2020

Abstract. From days to days, management of construction project has been improved during life-cycle project, starting from planning until maintenance. This happen cause of the advantages in implementation technology of Building Information Modeling (BIM) and Geographic Information System (GIS) in supporting construction project. Few years ago, enhancement in term of BIM and GIS that provides an additional extension for the purpose of information management is very interesting. With the advantages that been provided by BIM and GIS, information of construction project can be adapted into real situation of the construction site which be helpful during the life-cycle of building construction. BIM and GIS is a different platform which contains their own advantages that support construction project. In order to bring the most effectiveness in management of construction project, integration between BIM and GIS becomes an important task to support the design phase until operational phase which include the facility management and maintenance. Although this integration can support the building information management, the software that used in integration process is still having limitations and differences in fulfilling the needs of users. For that reasons, data consistency needs to be studied in order to develop the best practices of integration application. The purpose of this paper is to investigate the data consistency during the integration process. From the investigation, it showed that there are some data inconsistency occurs in IFC platform after conversion process. Through this paper, the comparison of the geometric and semantic data before and after translation process will be examined.
Inability to adequately heat a dwelling in the European Union and associated countries’ households
Authors: Przedworska Kornelia
Published: November 2020

The purpose of the study presented in the article is to determine the level of energy poverty in households of the European Union (EU) and associated countries, pronounced on the basis of the household's inability to supply its dwellings with adequate heat levels. The method of systematic literature review was applied. An analysis based on Statistics Poland and Eurostat data included the results of the EU-SILC research conducted in the years 2009-2018. The analysis indicated that the average number of households unable to sufficiently heat their homes is decreasing in Europe. However, in some countries, such as Macedonia, Lithuania or Bulgaria, the number of households experiencing energy poverty is still high. In Poland, the scale of this problem is smaller than the EU average. In order to conduct an in-depth analysis for Poland, an assessment was made of the correlation between the energy poverty rate and the average income per person in a household and the level of economic poverty. For this purpose the r-Pearson correlation coefficient was applied.
The Efficacy of Sphenopalatine Ganglion Block and Radiofrequency Denervation in the Treatment of Cluster Headache: A Case Series
Authors: Amighi Dorsa , Majedi Hossein , Tafakhori Abbas , Orandi Amirhossein
Published: November 2020

Background: Cluster headache is a variant of primary neurovascular headaches. some patients with cluster headache are not responsive to medical treatment and may benefit from interventional modalities, including sphenopalatine ganglion block and denervation. Objectives: Our purpose was to evaluate the efficacy of sphenopalatine ganglion block/denervation in the treatment of cluster headache. Methods: In this study, we performed the sphenopalatine ganglion block for patients with cluster headaches, intractable to medical therapy, who were referred to our pain clinic between 2014 and 2018. We registered the following information for all patients: demographic data, pain relief, and pain intensity. First, we conducted a prognostic C-arm-guided sphenopalatine ganglion block. If there was at least 50% pain relief within the first 5 h, then we denervated the ganglion by radiofrequency ablation. The main outcome of the study (dependent variable) was pain relief. We followed the patients for 6 months. Results: Among 23 enrolled patients, 19 consented to interventional treatment. Fifteen out of 19 patients (79%) had an acceptable response to the prognostic block. Ultimately, 11 patients underwent ganglion denervation, and 4 patients did not consent for ganglion ablation. Pain relief at intervals of 48 h, and 1, 3, and 6 months after ganglion denervation was 77, 59, 50, and 31 percent, respectively. Conclusions: Sphenopalatine ganglion conventional radiofrequency denervation can effectively decrease the pain intensity of the patients with cluster headache for at least several months.
Resistance Training as a Countermeasure for Key Non-communicable Diseases in Low-Resource Settings: A Review
Authors: Shaw Brandon Stuwart , Shaw Ina
Published: November 2020

Background: Non-communicable diseases (NCDs) are responsible for 60% of global deaths. Of these NCD-attributable deaths, about 80% are in low- to middle-income countries (LMICs). The role of exercise in major NCDs is evident; however, popular and cost-effective aerobic modes of exercise, such as walking, consistently do not meet minimum intensity guidelines for health improvement. Interestingly, low-cost resistance training (using callisthenics, Pilates, elastic tubing, etc.) has proven equally effective to conventional resistance training using weight machines in improving several health parameters related to NCDs, although their effectiveness in LMICs is not as well documented as in high-income countries (HICs). Objectives: This review aimed to examine low-cost approaches of resistance training to health promotion, NCD risk reduction, and NCD rehabilitation/management to mitigate the epidemic of NCDs in lower-resource settings. Methods: An electronic search was performed on the following databases from inception until December 2019: PubMed/Medline, Sport Discuss, Embase, Science Direct, Current Contents, CISTI Source, Google Scholar, Cochrane Library, Cochrane Database of Systematic Reviews, CINAHL EBM Reviews, and international e-catalogues. Results: Data on resistance training provision cost in low-resource settings indicates that it is not reasonable to use this mode of training in low-resource settings in the same way as it is used in high-resource ones. This review summarized some strategies which can be employed to ensure the delivery of all core resistance training components in low-resource settings. The data suggests that resistance training be adapted for delivery in non-clinical settings in LMICs. Conclusions: Program design variables of resistance training are similar in low- and well-resourced settings. However, only individuals with low-risk will be able to perform exercise without adverse consequences in home-based settings. Health care practitioners in LMICs should take an active role in promoting resistance training when promoting health, reducing NCD risk, and NCD rehabilitation.
COVID-19 in Children and Neonates: A Comprehensive Review Article
Authors: Gharehbaghi Golnaz , Yousefzadegan Sedigheh , Javid Asma , Riazi-Esfahani Hamid , Mousavi Ashraf , Mahdavynia Soheila , Zare Mahmoudabadi Ramin , Radgoodarzi Mohammad , Vafaee-Shahi Mohammad
Published: November 2020

Context: Novel coronavirus (COVID-19) has become a new public health crisis, posing a great threat to the people all around the world. We aimed to review the articles on COVID-19 in pediatric population to help physicians and other healthcare workers understand the importance of detecting silent disease carriers in this age group and stop further transmission to other healthy individuals and manage symptomatic patients based on the latest recommendations. Methods: We searched databases including PubMed, Scopus, Google Scholar, and Medline and reviewed 70 articles from December 2019 to mid-July 2020. Relevant articles about COVID-19 in children were included. Results: According to the latest reports, 1% - 5% of infected patients were under 19 years old. Death in this age group was rare but it can occur in children with severe disease. The overall course of disease -mainly pulmonary involvement- of the infected children tend to be milder than adults. This may be related to both host factors and exposure. The lab tests and computed tomography (CT) scan findings are nonspecific and milder compared to those in older ages. The cornerstone of COVID-19 management in pediatric group is supportive care. Of note, there is not any approved specific drug for treatment of children affected by COVID-19. Conclusions: COVID-19 disease characteristics in children are not yet fully established, which poses a significant problem for pediatric medical specialists. It should be considered that most children are asymptomatic or have mild symptoms. Critical cases, although uncommon, can occur especially in children with underlying diseases.