Reviewerly/exHarmony huggingface dataset:
Intercultural warrant: deploying cultural warrant ethically

Purpose The purpose of this paper is to discuss deployment of cultural warrant in intercultural environment, aiming to better achieve ethical warrant. Design/methodology/approach This paper synthesizes research on cultural warrant and classification, and uses examples of the Dewey Decimal Classification (DDC) to illustrate cultural warrant in a case of cross-cultural adaptation of bibliographic classification. Findings The notion of intercultural warrant was suggested as an operational approach to cultural warrant in the context of intercultural use of Knowledge Organization System (KOS). Research limitations/implications The research focuses on discussions of cultural warrant in the context of intercultural uses of KOS but lacking diverse examples of KOS and beyond (such as descriptive metadata standards). Originality/value This paper suggests the development of intercultural warrant as a theoretical view to understand classification systems commonly used worldwide and a path to achieve ethical treatments of cultures in such systems.
How Will We Preserve the Movies of Tomorrow? Technical and Ethical Considerations

<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">In this new age of computational imaging, volumetric video, performance capture, visual effects, and a myriad of other technologies we are creating images that were never captured in the conventional sense. These new technologies offer an almost infinite range of creative options once a production is over: camera angles can be modified; virtual lenses can deepen or tighten the depth of field, expand or compress perspective, and even mimic the distortion of vintage lenses; actors can be replaced, or even brought back to life decades after they passed. On top of this imaging revolution, the rapidly evolving field of image display means that a final version for today may not be optimal or even adequate for the screens of tomorrow, whether due to increased color gamut, dynamic range, spatial resolution, size, aspect ratio, or frame rate. These issues bring up technical, financial, and ethical considerations about what to conserve, in which form, and for how long, with potentially conflicting priorities between the preservation of the original artistic intent and a content owner’s desire to maximize the revenue and/or lifespan of a particular asset. For example, if a character is a computer-generated avatar of a performance given through motion capture, should we archive, on top of the on-screen performance, all the motion capture files, from the initial video capture to the computerized animation to the character models to the final render before it was composited into the shot? Could we, and should we, leave that door open for future generations to change characters in the finished product, eventually without the original creator’s consent? On the other hand, if we do not conserve the original animation, do we hamper a creator’s freedom to upgrade and refresh an asset when new technologies arise in the coming years? At what cost do all these decisions come? In this article, the author proposes a new definition for “image sequence-based works of art,” to replace the traditional definition of “film,” and details workflow options that strike the right balance between the protection of creative intent and future proofing of assets, combining technical, ethical, and philosophical considerations. With all the advances we have witnessed in the past 10 years, and what is to come in the next decade, the author believes there is an urgency to answering these questions and standardizing workflows before what we do today has an unalterable impact for future generations</i> .
Evolutionary neural cascade search across supernetworks

To achieve excellent performance with modern neural networks, having the right network architecture is important. Neural Architecture Search (NAS) concerns the automatic discovery of task-specific network architectures. Modern NAS approaches leverage supernetworks whose subnetworks encode candidate neural network architectures. These subnetworks can be trained simultaneously, removing the need to train each network from scratch, thereby increasing the efficiency of NAS. A recent method called Neural Architecture Transfer (NAT) further improves the efficiency of NAS for computer vision tasks by using a multi-objective evolutionary algorithm to find high-quality subnetworks of a supernetwork pretrained on ImageNet. Building upon NAT, we introduce ENCAS - Evolutionary Neural Cascade Search. ENCAS can be used to search over multiple pretrained supernetworks to achieve a trade-off front of cascades of different neural network architectures, maximizing accuracy while minimizing FLOPs count. We test ENCAS on common computer vision benchmarks (CIFAR-10, CIFAR-100, ImageNet) and achieve Pareto dominance over previous state-of-the-art NAS models up to 1.5 GFLOPs. Additionally, applying ENCAS to a pool of 518 publicly available ImageNet classifiers leads to Pareto dominance in all computation regimes and to increasing the maximum accuracy from 88.6% to 89.0%, accompanied by an 18\% decrease in computation effort from 362 to 296 GFLOPs. Our code is available at https://github.com/AwesomeLemon/ENCAS
Methods and Results for Quantum Optimal Pulse Control on Superconducting Qubit Systems

We employ Physics-guided quantum optimal control strategies to design optimal-pulses for quantum gates. We conduct experiments with our pulse-optimized gates on the IBM quantum devices and calculate the gate-error rate.
Minimal quantum walk simulation of Dirac fermions in curved space-times

The problem of simulating through quantum walks the curved space-time propagation of Dirac fermions is revisited, taking the $$(1 + 1)$$ D case as an example. New quantum walks are introduced which encode the space-time geometry, not in the mixing operators, but in new unitary shift operators which carry out a position-dependent translation of the wave function components. These walks simulate Dirac fermions in arbitrary curved space-times and coordinates. Contrary to previously proposed general alternatives, the wave functions of the new walks have as many components as usual Dirac spinors, and not twice that number. In particular, in $$(1 + 1)$$ D space-times, only one qubit is needed at each lattice point, which makes it easier to perform quantum simulations of the Dirac dynamics on current NISQs quantum devices. Numerical simulations of the Dirac dynamics in the post Newtonian, so-called Gravitoelectromagnetism regime are presented as an illustration. The possible usefulness of the new shift operators and quantum walks in other more general contexts is also discussed.
Diagnostic evaluation of alpha tumor necrosis factor and iron profile in newly diagnosed pulmonary tuberculosis with and without anemia

Tuberculosis is the 9th leading cause of deaths worldwide. In chronic diseases such as pulmonary tuberculosis (PTB), inflammation due to bacterial burden play a vital role in patho-physiology of anaemia. Functions of erythropoietin (EPO) is affected by inflammation. The present study was an analytical type of case control study. The study included 100 newly diagnosed anaemic PTB cases and 50 newly diagnosed non anaemic PTB controls. PTB was confirmed by microscopic examination of sputum specimen for the detection of Acid-Fast Bacilli (AFB). Both cases and controls were subjected to iron profile and serum α-TNF were analysed by ELISA method. Significantly higher levels of α-TNF(214.56±82.30) was observed in anemic PTB cases than that of non-anemic PTB cases (p&lt;0.001). Iron profile was also found significantly higher in anaemic PTB group in non anaemic PTB group. Significantly inverse correlation was observed between α-TNF and iron (r=-0.257, p&lt;0.05) and α-TNF and Ferritin (r=-0.202, p&lt;0.05) and Iron and Ferritin in both the groups. Increased α-TNF associated with increased bacterial burden and relatively decreased Iron. Cytokine-mediated defence against microbial pathogen causes effective withholding of iron within macrophages which affects erythropoiesis.
Narrowing the gap between combinatorial and hyperbolic knot invariants via deep learning

In this paper, we present a statistical approach for the discovery of relationships between mathematical entities that is based on linear regression and deep learning with fully connected artificial neural networks. The strategy is applied to computational knot data and empirical connections between combinatorial and hyperbolic knot invariants are revealed.
Lateral Shearing Interferometry based on a Polarization Grating for Wavefront Sensing

In this investigation, we propose a simple and effective lateral shearing interferometer based on a polarization grating. In the lateral shearing device, an incident beam is split into two beams by a polarization grating, and the returning beams can be laterally shifted after reflecting off a flat mirror and passing through the polarization grating again. These two beams are not only laterally shifted, but also their polarization states are orthogonal to each other as circular polarizations. With a single image obtained by a pixelated polarization CMOS camera, the proposed LSI can obtain the phase map corresponding to the x-sheared interferogram, and the other phase map can be calculated from another single image obtained by 90° rotation of the shearing device. Then, the original wavefront corresponding to the surface figure of the specimen can be reconstructed by wavefront reconstruction algorithms. In the experiments, various wavefronts generated by concave mirrors and a deformable mirror were measured and compared with those of a commercial Shack-Hartmann sensor.
New Geographies of Space in Virtual and Hybrid Performance Classrooms

In Keep Moving, a virtual dance performance by way of a visual podcast produced by Monica Bill Barnes & Company, dancers perform in their bedrooms, kitchens, and yards, linking the spaces by the (un)synchronized choreography of their bodies, received as a mosaic of videos. As digital performances have become increasingly common throughout COVID-19, practitioners and scholars alike trying to find ways to preserve theatre’s liveness in virtual space. As social distancing directly prohibits sharing space as we once did, efforts are made to recuperate a shared temporality. However, rather than foregoing “space” as a vital feature, the pandemic provides the opportunity to reinvest and transform how space and place are conceived on stage and in our classrooms. How can we create spatial intimacy across distance? In Keep Moving, the relationship between spaces is not rendered by their geographic distance, but by the proximity of their shared activity. This chapter considers site-specificity and virtual performance as a means of reimagining the role of space as a central feature within our classrooms, as both a pedagogical approach and performance practice. The chapter offers a means of integrating cultural geography into the performance classroom, considering specific interventions and practices for practitioners and instructors in asynchronous and synchronous learning environments.
Mathematical Transformation of Multidimensional Correlated Data into Uncorrelated Raman Spectra to Increase the Sensitivity of Identification with Silver Nanoparticles

The article discusses approaches to translating correlated statistical data into uncorrelated form. The results of the transformation of mathematical models with silver nanoparticles and without nanoparticles into uncorrelated form with simultaneous solution of a system of equations with uncorrelated matrices are presented. Solutions of a system of multi-dimensional equations for determining the probability densities p0 and p1 are obtained. These mathematical models are based on the Raman polarization spectra of polyester fibers in recognizing silver nanoparticles, taking into account the polarization of laser radiation in two directions: X-across and Y-along the fibers. A method for increasing the resolution of the identification of silver nanoparticles on polyester fibers is proposed. When solving the system using nonlinear quadratic and XY differential equations of probability densities of distribution ellipses, the resolution of identification of silver nanoparticles p0 and p1 in the range 10-2- 10-547 was obtained.
Solving the Real Crisis in Virtual Education

To address the inequities and trauma experienced by children and teens during the COVID-19 pandemic, leaders in education are prioritizing the integration of social and emotional learning (SEL) into core curricula. They are also looking for guidance and support in teaching SEL. While the demand for SEL instruction may appear at some remove from the concerns of artists seeking relevance in virtual spaces, it is actually of critical importance. Research has shown that when students engage with arts instructors or teaching artists trained in culturally responsive SEL pedagogy, they achieve higher learning outcomes in academic subjects and are more likely to graduate from high school. Post-secondary arts programs have largely ignored the well substantiated correlation between SEL and artistic practices. Drawing from work developed at Seattle Children’s Theatre and tenets of community-based program design, this chapter models how to develop, teach, and evaluate SEL-informed curricula in virtual college classrooms.
Policy governance conference set for June

Board & Administrator for Administrators OnlyVolume 38, Issue 9 p. 6-6 Resources Policy governance conference set for June First published: 11 April 2022 https://doi.org/10.1002/ban.31379Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume38, Issue9May 2022Pages 6-6 RelatedInformation
Digital Currency Alert System Using IOT

Assume a client needs to put his cash in Bitcoin market and he/she would be more than once checking for Bitcoin esteem in current market. So rather than customary checking, the python program in this task proves to be useful. In this the program requests that the client enter the money from which he/she need to put resources into bitcoin market, then the program requests his/her ideal selling cost. In the wake of taking the selling value the program stores it and afterward it checks for current bitcoin esteem in the market in his/her given money. For this the program utilizes the API of worth of bitcoin which we have embedded in our program. Assuming it observes that the current market worth of bitcoin is not exactly the selling value, the program naturally as an indication of caution rings ringer and furthermore the LED as advance notice. Yet, in the event that guess the client not ready to hear alert. This program checks for bitcoin value in every 30 seconds online it also gives the latest transaction of bitcoin which helps the investor to know how many people made a transaction and how much they invest in bitcoin. If people made many transactions between two periods of time, investors may come to a conclusion that the bitcoin price has decreased time.
Human Rights Issues in North Korea and the Residents’ Defection: An Analysis of Job Involvement according to the Period of Service of the South Korean Security Police

Purpose: The purpose of this study is to validate the difference in the effectiveness of the police on job in-volvement based on their work experiences in order to validate the effectiveness of the security police who directly make contacts with the North Korean defectors as a solution to various problems and conflicts. Method: In this study, among police officers in the security department as of 2020 who had experience in work related North Korean defectors, 100 trainees in the Police Human Resources Development Institute were surveyed via self-administration method. Among the collected survey questionnaires, 91 were selected as valid samples, excluding those whose answers were incomplete or missing. Results: As a result of the study, there was no statistically significant difference demonstrated in terms of the difference in job involvement according to the total length of police service. Furthermore, as a result of the analy-sis performed on the difference in terms of the police’s job involvement according to security and service period, there was no statistically significant difference in total security, service period, and job involvement. Conclusion: It turned out that there was no statistical difference in terms of the perception of job involvement between the total police’s service period, security and service period, which. means that serving for a long time in the police or security department does not affect the responsibility, effort, and voluntary participation in the job. That is, since there is no difference in the perception of job involvement based on experiences, it is apparent that the factors affecting job involvement by various factors including working environment, performance measurement, and fatigue ought to be developed. Furthermore, this study looks forward to the lives of the North Koreans whose freedom and human rights are guaranteed by the collapse of the North Korean dictatorship.
On some formulas in the problem of enumeration of finite labeled topologies

Among the unsolved problems of enumeration of graphs, one of the most difficult is the problem of enumeration of transitive digraphs, which is equivalent to the problem of enumeration of finite partial orders and is equivalent to the problem of enumeration of finite labeled [Formula: see text]-topologies. The sequence [Formula: see text], where [Formula: see text] is the number of all labeled [Formula: see text]-topologies defined on an n-set, has been studied from different points of view. In the previous work of the second author, a formula was obtained in which the number [Formula: see text] is represented as a linear combination of numbers [Formula: see text] (where the sequences [Formula: see text] are compositions of the number n). Recurrent relations between individual numbers [Formula: see text] were obtained. In this paper, new recursive formulas between separate numbers [Formula: see text] are obtained.
EVALUASI KINERJA JARINGAN UTAMA DAERAH IRIGASI JEURAM KABUPATEN NAGAN RAYA

Irrigation infrastructure does not last long without being supported by continuous maintenance activities as the age of water building grows in irrigation networks. To maintain a sustainable irrigation system an irrigation management system is needed starting from the main building, the primary network to the secondary network. Irrigation Performance is an indicator in order to describe an irrigation system management, performance appraisal according to Minister of Public Works Regulation Number 12/PRT/M/2015 concerning Exploitation and Maintenance of Irrigation Networks is carried out on 6 (six) parameters, namely : Physical Infrastructure, Planting Productivity, Facilities Support, Personnel Organization, Documentation and Water User Farmers Association. The objective of this study was to conduct a performance assessment of D.I Jeuram through observing the condition of irrigation networks and analyzing the irrigation network condition data from the implementing agency D.I Jeuram and information from the P3A as a reference for the performance of D.I Jeuram. The results of this study show that the performance of the Jeuram Irrigation Area in terms of physical and non-physical aspects has a performance index of 69.36%, so that the performance of the Jeuram Irrigation Area falls into the less performance category and needs attention, so efforts to improve performance in Irrigation Areas are suggested. Jeuram, namely the aspect of physical infrastructure consists of routine maintenance activities from the main building to the final secondary canal (B.Jr.30), periodic maintenance includes replacement of the operating board and measuring ruler on the weir, replacement of missing door parts in weir drains, bag draining periodic mud, replacement of 16 door units at Jeuram Kanan and 6 door units at Jeuram Kiri, heavy rehabilitation in buildings tapping B.Jr.9, B.Jr.13, BU.1 and BU.2, and constructing drain inlets in sections carrier channel that functions as a waster. Efforts to improve the performance of aspects of non-physical infrastructure consist of providing adequate facilities for offices, housing and OM implementation warehouses, providing complete irrigation Area data at branch offices and conducting routine meetings related to OM implementation and cropping patterns. With this, the value of the performance of the irrigation system is obtained with a reliable, and which will later become a reference for the management of irrigation networks as a whole.
Suggestions on Teaching and Learning AI Ethics using Cooperative Learning Method in Elementary and Secondary Education

Purpose: Discussions on AI Ethics Education is still unfolding without a clear direction set in terms of its nature, goals, teaching and learning methods, etc. In particular, teaching and learning of AI Ethics Education needs to be discussed in the methodological aspect of effectively delivering new contents of Applied Ethics to students. With this in mind, the purpose of this study is to explore teaching and learning that can effectively implement AI Ethics Education, and to propose a method that can be applied to Elementary and Secondary Education. Method: This study intends to utilize the methods of literature studies and comparative studies. First of all, using literature research method, we will examine recent discussions related to AI Ethics Education. In addition, using comparative research method, we will compare and review the system of Ethics Education currently in place in Elementary and Secondary Schools and the system of AI Ethics education that is the subject of discussion. The above research method will contribute to clarifying the unique characteristics of the teaching and learning of AI Ethics Education presented through this study. Results: AI Ethics education could be said as an order about the relationship between humans and AI. At this time, AI Ethics Education needs to go in the direction of establishing a relationship of mutual cooperation rather than mutual checks between AI and humans. Building a community between AI and humans, and practicing a Cooperative Relationship in that community, should be developed through school education which is a professional activity of education. To this end, it is necessary to understand the nature of Teaching and Learning especially in AI Ethics Education, and to construct and implement appropriate teaching and learning methods. Conclusion: Teaching and learning of Ethics Education specialized in AI Ethics Education can be divided into those that target AI and those that target Elementary and Middle School Students. At this time, the target of AI Ethics Education through School Education will be primarily adolescent students attending Elementary and Secondary Schools. However, in their Ethics Education Teaching and Learning, AI can perform the functions of others or peers who have important influence. Therefore, it is proposed to develop and apply Teaching and Learning Method of Cooperative Learning that constitutes ethical AI, and enables such ethical AI to function as a subject of cooperative Learning in AI Ethics Education through Elementary and Secondary Education.