bluuebunny/crossref_metadata_2025_split huggingface dataset:
Allegorising and minoritising Richard III
Authors: Bigliazzi Silvia , Avezzù Guido 
Published: June 2020

Abstract
Against the backdrop of widespread topical readings of Richard III as post-war allegories of totalitarianisms ‘reconciling’ us with painful memories of trauma and monstrosity, this chapter discusses Carmelo Bene’s experiment in minoritisation as a form of political disengagement but also political challenge. It reappraises Bene’s dialogue with Deleuze by situating his 1977 anti-theatrical experiment with Shakespeare’s play within the context of contemporary forms of theatrical contestation and, contrariwise, connivance with political power in the 1970s. Finally, it investigates Bene’s experimental minoritisation of Shakespeare’s history play by contrasting a subversive conception of history with official history, and to this end exploiting the dynamic resources of the eventfulness of the performance. It also assesses Bene’s own claimed anarchic way of transcending power games by examining his interpretation of ‘essential minority’ as opposed to ‘actual minority’ in relation to a notion of immanent politics that refuses transcendental justifications.
Notes on Shakespeare, simulacra, and the aporias of ‘acting’
Authors: Bigliazzi Silvia 
Published: June 2020

Abstract
The essay explores selected examples of theatrical and philosophical Italian responses to Shakespeare in relation to a diffused sense of crisis of representation, entailing a crisis of the subject, from the early 1980s to 2016. It investigates how after about more than three decades that sense of crisis is still present with us, and the different forms it has taken: from the inception of the ‘culture of simulacra’, to its magnification in the Berlusconi age, and to a belated postmodern awareness of a crisis extending globewise to entropy point. It discusses different uses of Shakespeare, contrasting strategies of intermedial appropriation as critiques of a culture of simulacra with allegorical forms of ‘hyperreal’ adaptations that by recuperating ideas of ‘transparent representation’ sidestep preoccupations about the hyperreal. Central to the discussion is a reading of Massimo Cacciari’s interpretation of Hamlet as the inaugural point of the ‘crisis of modernity’ viewed as a longue-durée historical category.
Narrating and unravelling Italian crises through Shakespeare (2000–2016)
Authors: Montironi Maria Elisa 
Published: June 2020

Abstract
Contemporary Italian theatre has witnessed a wide range of Shakespearean productions, whose significance with respect to the theme of crisis has been twofold. On the one hand, Shakespeare has been employed in Italy to face the radical reduction in economic support suffered by theatre professionals, who have then relied on the marketability of the Bard’s ‘brand’ for funding and to draw audiences to the theatre. On the other hand, Shakespeare’s plays have proved functional to unravelling cultural, social and political problems in Italy. Accordingly, this chapter investigates the function of Shakespeare both as a marketing strategy and as an intellectual tool to tackle the different crises which have traversed Italy since the beginning of the new millennium.
Using an Arduino microcontroller to build a Planetary Scale for study
of weight force
Authors: O Silva Valesca Taciele , de Medeiros Jr Raimundo Nonato , O Silva Willemberg , Medeiros Stella R R 
Published: June 2020

Abstract
In order to contribute towards making the teaching of physics more playful and
less abstract, we conceived to develop an educational equipment called Planetary
Scale. To build it, we used an Arduino microcontroller to assist the teachers of
physics in their approach of the ratio between mass, weight force and normal
force. To that end, this article constitutes the description of the building
process of this educational resource, and the discussion of the purpose, carried
out by accessible materials and free software, which can be reapplied by
teachers in their routines. The Planetary Scale was designed to simulate the
weight changes and mass invariance in any planet of our solar system, and has
nine buttons to select the planet desired, in addition to the
‘Reset’ function. The device is an example of technology applied to
physics education and was built to make it possible for the teacher to develop
and use it in the classroom, in addition to act as an incentive to use new
educational resources.
Publication of the society’s sensitive personal data in the legitimate site of the general election committee
Authors: Parwata A , Aryanto K Y E , Divayana D G H 
Published: June 2020

Abstract
It is highly important to protect the society’s sensitive personal data. The reason is that many personal data are published by the government institution without paying attention to the prevailing regulations. In this current study, the search for the data in the form of hyperlink with its contents in the legitimate site of the General Election Committees was conducted with the assistance of Crawling Web. The obtained contents were preprocessed using the Preprocessing Text, which were then weighted using the TF-IDF method before they were classified using the Naїve Bayes method. After that, an analysis on the types of the published sensitive personal and the extent of the publication based on the area groups was conducted. Out of 6,700 instances of the personal data which were analyzed, 6.430 were published. The personal data which were published were full name, place and date of birth, religion, marital status, ID Number of the government civil servants, identity card number, number of the tax payer, account number, mobile number, e-mail, address, position, and face photo. The level of publication based on the total data found was as follows: 11.45% in the Central General Election Committee, 21.60% in the eastern area, 17.01% in the central area and 49.94% in the eastern area. The accuracy of the Naїve Bayes method averaged 96.99%. Prior to publication, the General Election Committee is recommended to respect someone’s personal data as privacy and the data which would be published should obtain approval and an easily-contacted contact person.
Development of car rental system based on geographic information system and decision support system with AHP (Analytical Heirarchy Process) and SAW (Simple Additive Weighting) method
Authors: Siwa N N A P , Putrama I M , Santyadiputra G S 
Published: June 2020

Abstract
The purpose of this study was to develop an application of a car rental system with recommendations using the AHP and SAW methods in a decision support system. The purpose of developing this system was to help the public in knowing the car rental system and carry out the car rental process complete with recommendations. The development of this system uses the ADDIE method which consists of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. There are 3 tests carried out namely the black box test, white box, and user response test. This research succeeded in developing a car rental system after passing the black box test and white box test. User response test conducted on this car rental system is included in a very good range with the System Usability Scale (SUS) 93.13.
Effect of image partitioning on content-based image retrieval using colour and texture
Authors: Antara I B G W , Dantes G R , Gunadi I G A , Ariana A A G B 
Published: June 2020

Abstract
The current application of content-based image retrieval (CBIR) was urgently needed to process image retrieval in large image databases. Previous research had succeeded in combining feature extraction methods using texture and colour. Combining the two methods of Gray Level Co-Occurrence matrix with Colour moment produces a higher level of precision than that produced when method is applied individually. This research examined more deeply about the effect of image partitioning using the grid partitioning method. The results of precision and recall on the CBIR method would be compared with no partitions, two partitions and three image partitions. The results obtained indicated that the addition of image partitions did not affect the precision value. Thus, it can be concluded that increasing the image partition increases the recall value of the overall CBIR performance.
Balinese character recognition on mobile application based on tesseract open source OCR engine
Authors: Mudiarta I M D R , Atmaja I M D S , Suharsana I K , Antara I W G S , Bharaditya I W P , Suandirat G A , Indrawan G 
Published: June 2020

Abstract
Balinese script is a part of Balinese culture is rarely used today. The Provincial Government of Bali with the Governor Regulation number 80 of 2018 is trying to preserve the Balinese language and script. This study aimed at preserving the Balinese script through a mobile technology approach which is the recent trend with worldwide coverage for supporting ubiquitous learning. This research integrated the Android application to recognize Balinese characters in the form of images into text with Tesseract open source Optical Character Recognition (OCR) engine. The input of this application is a Balinese script image captured by a mobile camera or from a Balinese script image. The application recognized input image into text that can be further processed based on training data available in the application. The new Balinese script training data was created based on eighteen Balinese script’s basic syllables and numbers only. This application can be operated offline with mobile hardware that supports camera functions. The result for testing for 50-word, recognition was 62% obtained in good quality image-based Bali-Simbar font. This application can be further developed to recognize other character repertoire i.e., vowels (Akśara Suara), semi vowels (Arda Suara), additional syllables (Akśara Şwalalita), and sound killers (Pangangge Tengenan).
Comparison of classification model and annotation method for Undiksha’s official documents
Authors: Paramartha A A G Y , Marti N W , Aryanto K Y E 
Published: June 2020

Abstract
Shakuntala is a system that manages official documents and letters at UniversitasPendidikanGanesha. The system stores various documents in PDF format which are categorized by type of document. But Shakuntala can only receive scanned documents, and document categorization were done manually by the operator. Documents uploaded to Shakuntalaalso generally contain information about people who were manually tagged by the operator. This causes inefficiencies that should be carried out automatically by machine. This study aimed at finding the best classification model for determining document categories. In addition, this research also intent to figure out the best method for tagging the people listed on the document. The results of the study showed that the Decision Tree classification model was the best model with an accuracy of 83.06% compared to KNN and Naive Bayes. As for the annotation of the person’s name, the Levenshtein distance method with a similarity threshold of 95% obtained an accuracy of 68.20%.
Gamification design to improve student motivation on learning object-oriented programming
Authors: Ardiana D P Y , Loekito L H 
Published: June 2020

Abstract
Object-Oriented Programming (OOP) is a skill that must be mastered by students to survive in information technology industry competition. The problem that occurs during OOP learning is that some students are not motivated during the class because of a passive learning style and the lack of understanding from previous programming classes. Based on these problems, this study aims to design gamification to increase student’s involvement and motivation in OOP learning. Gamification provides an element of pleasure obtained in the game so that it stimulates the activeness and creativity of students. This research applied the Marczewski Gamification Framework. To find out student’s motivation in learning OOP, the Hexad Gamification Questionnaire test was used. The test results showed that 43% of students have the type of achiever. The game mechanics used in this gamification design are for achiever types of users such as levels, challenges and achievements with game elements such as points, badges and trophies. The results showed that the Marczewski Gamification Framework has been implemented in gamification design according to the functional needs of users. This research contributes to the use of gamification in increasing student motivation in learning OOP programming.
Development of mathematics interactive learning media with gamification concept for mentally disabled students
Authors: Darnanta I W , Pradnyana I M A , Agustini K 
Published: June 2020

Abstract
Conventional media and the limitations of mentally retarded students in understanding abstract concepts have made it difficult for teachers to deliver learning material. It is indicated that there is a need for interactive media, especially in mathematics with the concept of Gamification. Thus, this study aimed to develop interactive learning media with the concept of Gamification to increase concentration and learning interest of mentally retarded students, and to know students’ responses to the media developed. This study was a research and development study which data collection was done using instruments. The subjects of this study were mentally retarded students in the D2 class of SLB Negeri 2 Buleleng. The data were analyzed using descriptive analysis techniques. The results showed that the learning media developed was able to become the source and student learning guide. The results of the analysis of student responses toward the development of interactive learning media with the concept of Gamification were 91.1% included in the Very Good category.
Development of a new ergonomics-based technology education curriculum for Nigerian universities: needs analysis
Authors: Chedi J M , Mustapha R 
Published: June 2020

Abstract
In this study, a needs analysis was conducted to identify the ergonomics awareness among technology education lecturers in Nigerian universities. In addition, the study was also designed to determine the gap in the existing technology curriculum with regard to ergonomic integration across the technology programs in Nigerian universities. Also, to determine the perception of lecturers toward the introduction of ergonomics-based technology education. Participants were 119 lecturers of technology education from selected Nigerian universities. Data were collected using questionnaires. Descriptive statistics such as means and standard deviation were used to describe the empirical data. The main result indicated a low level of ergonomics awareness among technology education lecturers in Nigerian universities. Also, with regards to the need of a new curriculum of ergonomics-based technology education, the study revealed that most respondents concur that a curriculum is needed. In fact, the majority of the lecturers perceived the incorporation of ergonomics-based technology education into technology education of the Nigerian universities as a milestone.
Content validity determination of the countenance-tri kaya parisudha model evaluation instruments using lawshe’s CVR formula
Authors: Divayana D G H , Suyasa P W A , Adiarta A 
Published: June 2020

Abstract
Good Instruments that are used as measurement instruments in evaluation process should be valid instruments. An attempt that is made to obtain a valid instrument is to calculate the instrument content validity correctly by using the right formula. One formula that can be used to test the content validity of the Countenance-Tri Kaya Parisudha model evaluation instruments is Lawshe’s CVR. Based on those statements, the main objective of this study was to explain how to use the Lawshe’s CVR formula to determine the content validity of a Countenance-Tri Kaya Parisudha model evaluation instruments. Subjects that were involved in conducting the trial of the instruments were 15 panellists. The tool that was used to test the instrument was a questionnaire consisting of 30 questions. Analysis of the instruments was done by comparing the results of validation to Guilford standards so that that instrument classification could be determined. These study results indicate that the Countenance-Tri Kaya Parisudha model evaluation instruments were at a high level of validation with the average of content validity ratio 0.644.
Machine learning assisted quantum state estimation
Authors: Lohani Sanjaya , Kirby Brian T , Brodsky Michael , Danaci Onur , Glasser Ryan T 
Published: June 2020

Abstract
We build a general quantum state tomography framework that makes use of machine learning techniques to reconstruct quantum states from a given set of coincidence measurements. For a wide range of pure and mixed input states we demonstrate via simulations that our method produces functionally equivalent reconstructed states to that of traditional methods with the added benefit that expensive computations are front-loaded with our system. Further, by training our system with measurement results that include simulated noise sources we are able to demonstrate a significantly enhanced average fidelity when compared to typical reconstruction methods. These enhancements in average fidelity are also shown to persist when we consider state reconstruction from partial tomography data where several measurements are missing. We anticipate that the present results combining the fields of machine intelligence and quantum state estimation will greatly improve and speed up tomography-based quantum experiments.
Analysis of the Fisher-KPP equation with a time-dependent Allee effect
Authors: Alzaleq Lewa’ , Manoranjan Valipuram 
Published: June 2020

Abstract
In this short note, we study the Fisher-KPP population model with a time-dependent Allee threshold. We consider the time dependence as sinusoidal functions and rational functions as they relate to varying environmental situations of the model. Employing the generalized Riccati equation mapping method, we obtain exact traveling wave solutions. Also, when the time-dependent Allee threshold decays to a constant value, we recover the traveling wave solution of the degenerate Fitzhugh-Nagumo equation from our general solution.
Use of RAAS Inhibitors and Risk of Clinical Deterioration in COVID-19: Results From an Italian Cohort of 133 Hypertensives
Authors: Felice Carla , Nardin Chiara , Di Tanna Gian Luca , Grossi Ugo , Bernardi Enrico , Scaldaferri Luca , Romagnoli Micaela , Tonon Luca , Cavasin Paola , Novello Simone , Scarpa Riccardo , Farnia Antonio , De Menis Ernesto , Rigoli Roberto , Cinetto Francesco , Pauletto Paolo , Agostini Carlo , Rattazzi Marcello 
Published: June 2020

Abstract

BACKGROUND
The effect of chronic use of renin–angiotensin–aldosterone system (RAAS) inhibitors on the severity of COVID-19 infection is still unclear in patients with hypertension. We aimed to investigate the association between chronic use of angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) and COVID-19-related outcomes in hypertensive patients.

METHODS
A single-center study was conducted on 133 consecutive hypertensive subjects presenting to the emergency department with acute respiratory symptoms and/or fever who were diagnosed with COVID-19 infection between 9 and 31 March 2020.

RESULTS
All patients were grouped according to their chronic antihypertensive medications (ACEIs, N = 40; ARBs, N = 42; not on RAAS inhibitors, N = 51). There was no statistical difference between ACEIs and ARBs groups in terms of hospital admission rate, oxygen therapy, and need for noninvasive ventilation. Patients chronically treated with RAAS inhibitors showed a significantly lower rate of admission to semi-intensive/intensive care units, when compared with the non-RAAS population (odds ratio (OR) 0.25, confidence interval (CI) 95% 0.09–0.66, P = 0.006). Similarly, the risk of mortality was lower in the former group, although not reaching statistical significance (OR 0.56, CI 95% 0.17–1.83, P = 0.341).

CONCLUSIONS
Our data suggest that chronic use of RAAS inhibitors does not negatively affect clinical course of COVID-19 in hypertensive patients. Further studies are needed to confirm this finding and determine whether RAAS inhibitors may have a protective effect on COVID-19-related morbidity and mortality.
Vaginoplasty With Mesh Autologous Buccal Mucosa in Vaginal Agenesis: A Multidisciplinary Approach and Literature Review
Authors: Wu Minliang , Wang Yuchong , Xu Jianguo , Dai Haiying , Zhong Xueying , Sun Mengyan , Lv Chuan , Xue Chunyu 
Published: June 2020

Abstract

Background
Vaginal agenesis, a rare condition, is treated by various surgical techniques to achieve neovaginal reconstruction. The main difference between the approaches lies in the graft material used to cover the newly formed cavity.

Objectives
The purpose of this retrospective study was to describe the surgical procedure and outcomes of autologous buccal mucosal grafting in neovaginal reconstruction.

Methods
Sixteen patients with vaginal agenesis admitted to our department between January 2016 and January 2019 were included in our study. A reconstruction procedure, described in detail here, involving autologous buccal mucosa as graft material was successfully conducted in all of the patients. Long-term anatomic and functional outcomes were evaluated.

Results
The blood loss during operation was estimated to be 15 to 20 mL in all cases. No rectal or bladder injury occurred. The buccal mucosal wound completely healed 10 to 14 days after the operation. All patients had a well-formed neovagina 8 to 10 cm in length, with a mean diameter of &gt;3 finger-breadths.

Conclusions
The application of autologous buccal mucosa in neovaginal construction is a simple procedure. Autologous buccal mucosa is an ideal material to achieve excellent cosmetic and functional results in patients with vaginal agenesis.

Level of Evidence: 4
Identifying Treatments for Taste and Smell Disorders: Gaps and Opportunities
Authors: Mainland Joel D , Barlow Linda A , Munger Steven D , Millar Sarah E , Vergara M Natalia , Jiang Peihua , Schwob James E , Goldstein Bradley J , Boye Shannon E , Martens Jeffrey R , Leopold Donald A , Bartoshuk Linda M , Doty Richard L , Hummel Thomas , Pinto Jayant M , Trimmer Casey , Kelly Christine , Pribitkin Edmund A , Reed Danielle R 
Published: June 2020

AbstractThe chemical senses of taste and smell play a vital role in conveying information about ourselves and our environment. Tastes and smells can warn against danger and also contribute to the daily enjoyment of food, friends and family, and our surroundings. Over 12% of the US population is estimated to experience taste and smell (chemosensory) dysfunction. Yet, despite this high prevalence, long-term, effective treatments for these disorders have been largely elusive. Clinical successes in other sensory systems, including hearing and vision, have led to new hope for developments in the treatment of chemosensory disorders. To accelerate cures, we convened the “Identifying Treatments for Taste and Smell Disorders” conference, bringing together basic and translational sensory scientists, health care professionals, and patients to identify gaps in our current understanding of chemosensory dysfunction and next steps in a broad-based research strategy. Their suggestions for high-yield next steps were focused in 3 areas: increasing awareness and research capacity (e.g., patient advocacy), developing and enhancing clinical measures of taste and smell, and supporting new avenues of research into cellular and therapeutic approaches (e.g., developing human chemosensory cell lines, stem cells, and gene therapy approaches). These long-term strategies led to specific suggestions for immediate research priorities that focus on expanding our understanding of specific responses of chemosensory cells and developing valuable assays to identify and document cell development, regeneration, and function. Addressing these high-priority areas should accelerate the development of novel and effective treatments for taste and smell disorders.