cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Space-time resolved simulation of femtosecond nonlinear light-matter interactions using a holistic quantum atomic model: Application to near-threshold harmonics
Creators: name: Kolesik, M.
name: Wright, E. M.
name: Andreasen, J.
name: Brown, J. M.
name: Carlson, D. R.
name: Jones, R. J.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Optics (physics.optics)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We introduce a new computational approach for femtosecond pulse propagation in the transparency region of gases that permits full resolution in three space dimensions plus time while fully incorporating quantum coherent effects such as high-harmonic generation and strong-field ionization in a holistic fashion. This is achieved by utilizing a one-dimensional model atom with a delta-function potential which allows for a closed-form solution for the nonlinear optical response due to ground-state to continuum transitions. It side-steps evaluation of the wave function, and offers more than one hundred-fold reduction in computation time in comparison to direct solution of the atomic Schrödinger equation. To illustrate the capability of our new computational approach, we apply it to the example of near-threshold harmonic generation in Xenon, and we also present a qualitative comparison between our model and results from an in-house experiment on extreme ultraviolet generation in a femtosecond enhancement cavity.
description: 16 pages, 9 figures
More than a picture: how the work of documentary photographer Raphaela Rosella is defined by co-creation
Creators: name: Williams, Tom
Publisher: name: University of Wollongong
Year: 2025

description: Documentary photographers have traditionally aspired to tell other people’s stories. For 15 years, artist Raphaela Rosella and the women close to her have forged their own complex visual narratives, despite frequent interventions by the criminal justice system.Rosella is an Italian-Australian documentary artist devoted to long-term, socially engaged collaborative projects made with participants from Nimbin, Casino, Lismore and Moree in regional New South Wales.Aware that photographs can enable stereotypes and mislead viewers, she decided early in her career the people she photographed should be given ongoing control of their representation. This means active collaboration in making images and a body of work, as well as continually seeking consent if sharing it with an audience.You’ll Know It When You Feel It at Brisbane’s Institute of Modern Art has evolved through these relationships.Rosella and her co-creators have sought to reclaim and counteract the narratives formed by state records, instead telling stories of the love they feel for family and the challenges they’ve faced: both together and when separated by the geography of prison custody.
Gravitational redshift of galaxies in clusters as predicted by general relativity
Creators: name: Wojtak, Radoslaw
name: Hansen, Steen H.
name: Hjorth, Jens
Publisher: name: arXiv
Year: 2011
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The theoretical framework of cosmology is mainly defined by gravity, of which general relativity is the current model. Recent tests of general relativity within the ΛCold Dark Matter (CDM) model have found a concordance between predictions and the observations of the growth rate and clustering of the cosmic web. General relativity has not hitherto been tested on cosmological scales independent of the assumptions of the ΛCDM model. Here we report observation of the gravitational redshift of light coming from galaxies in clusters at the 99 per cent confidence level, based upon archival data. The measurement agrees with the predictions of general relativity and its modification created to explain cosmic acceleration without the need for dark energy (f(R) theory), but is inconsistent with alternative models designed to avoid the presence of dark matter.
description: Published in Nature issued on 29 September 2011. This version includes the Letter published there as well as the Supplementary Information. 23 pages, 7 figures
Stability of the splay state in networks of pulse-coupled neurons
Creators: name: Olmi, Simona
name: Politi, Antonio
name: Torcini, Alessandro
Publisher: name: arXiv
Year: 2012
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mathematical Physics (math-ph)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: We analytically investigate the stability of {\it splay states} in networks of $N$ pulse-coupled phase-like models of neurons. By developing a perturbative technique, we find that, in the limit of large $N$, the Floquet spectrum scales as $1/N^2$ for generic discontinuous velocity fields. Moreover, the stability of the so-called short-wavelength component is determined by the sign of the jump at the discontinuity. Altogether, the form of the spectrum depends on the pulse shape but is independent of the velocity field.
description: 22 pages, no figures and 120 equations
Distributed synthesis for parameterized temporal logics
Creators: name: Jacobs, Swen
name: Tentrup, Leander
name: Zimmermann, Martin
Publisher: name: CISPA
Year: 2023

description: We consider the synthesis of distributed implementations for specifications in parameterized temporal logics such as PROMPT–LTL, which extends LTL by temporal operators equipped with parameters that bound their scope. For single process synthesis, it is well-established that such parametric extensions do not increase worst-case complexities. For synchronous distributed systems, we show that, despite being more powerful, the realizability problem for PROMPT–LTL is not harder than its LTL counterpart. For asynchronous systems, we have to express scheduling assumptions and therefore consider an assume-guarantee synthesis problem. As asynchronous distributed synthesis is already undecidable for LTL, we give a semi-decision procedure for the PROMPT–LTL assume-guarantee synthesis problem based on bounded synthesis. Finally, we show that our results extend to the stronger logics PLTL and PLDL.
Compactly convex sets in linear topological spaces
Creators: name: Banakh, T.
name: Mitrofanov, M.
name: Ravsky, O.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Functional Analysis (math.FA)
subject: General Topology (math.GN)
subject: FOS: Mathematics
subject: 52A07, 52A30, 46A55, 54D30

description: A convex subset X of a linear topological space is called compactly convex if there is a continuous compact-valued map $Φ:X\to exp(X)$ such that $[x,y]\subsetΦ(x)\cup Φ(y)$ for all $x,y\in X$. We prove that each convex subset of the plane is compactly convex. On the other hand, the space $R^3$ contains a convex set that is not compactly convex. Each compactly convex subset $X$ of a linear topological space $L$ has locally compact closure $\bar X$ which is metrizable if and only if each compact subset of $X$ is metrizable.
description: 10 pages
Selected highlights from the study of mesons
Creators: name: Chang, Lei
name: Roberts, Craig D.
name: Tandy, Peter C.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: We provide a brief review of recent progress in the study of mesons using QCD's Dyson-Schwinger equations. Along the way we touch on aspects of confinement and dynamical chiral symmetry breaking but in the main focus upon: exact results for pseudoscalar mesons, including aspects of the eta-eta' problem; a realisation that the so-called vacuum condensates are actually an intrinsic, localised property of hadrons; an essentially nonperturbative procedure for constructing a symmetry-preserving Bethe-Salpeter kernel, which has enabled a demonstration that dressed-quarks possess momentum-dependent anomalous chromo- and electromagnetic moments that are large at infrared momenta, and resolution of a longstanding problem in understanding the mass-splitting between rho- and a1-mesons such that they are now readily seen to be parity partners in the meson spectrum; features of electromagnetic form factors connected with charged and neutral pions; and computation and explanation of valence-quark distribution functions in pseudoscalar mesons. We argue that in solving QCD, a constructive feedback between theory and extant and forthcoming experiments will enable constraints to be placed on the infrared behaviour of QCD's beta-function, the nonperturbative quantity at the core of hadron physics.
description: 28 pages, 15 figures, 2 tables. Version to appear in the Chinese Journal of Physics
General estimate of the first eigenvalue on manifolds
Creators: name: Chen, Mu-Fa
Publisher: name: arXiv
Year: 2011
Subjects: subject: Probability (math.PR)
subject: Differential Geometry (math.DG)
subject: Spectral Theory (math.SP)
subject: FOS: Mathematics
subject: 58C40, 35P15

description: Ten sharp lower estimates of the first non-trivial eigenvalue of Laplacian on compact Riemannian manifolds are reviewed and compared. An improved variational formula, a general common estimate, and a new sharp one are added. The best lower estimates are now updated. The new estimates provide a global picture of what one can expect by our approach.
description: 19 pages
A scoping review of the use of digital health interventions for the assessment of health-related outcomes following critical illness in adults.
Creators: name: Huang, Catherine
Publisher: name: Open Science Framework
Year: 2023
Subjects: subject: Medicine and Health Sciences
subject: digital health
subject: critical care
subject: intensive care
subject: health technology

description: Objective: This scoping review will assess the nature and extent of the literature that describes and provides evidence for the use of digital health interventions (DHI) for outcome assessment in adult patients following a critical care admission. Introduction: The practice of intensive care medicine has evolved beyond outcomes of survival versus death with better understanding of its multifaceted burdens that negatively impact patients’ physical, cognitive, social and financial potential. The detection and follow-up of these impairments are traditionally performed through surveys or in a clinic setting, which pose significant disadvantages in their application and interpretation. There is increasing expansion of digital health interventions (DHIs) within healthcare, and their applications are increasingly being realised in fields such as surgery, cardiology and obstetric medicine but their use has remained limited in a post-critical care setting. Inclusion criteria: This review will include worldwide studies involving adult patients (over 18 years) who have been discharged from an Intensive Care Unit (ICU) or High Dependency Unit (HDU), looking at digital health interventions as defined by the World Health Organisation. Methods: We will search the Cochrane Central Register of Controlled Trials (CENTRAL) via Wiley, MEDLINE via HDAS (1946-present) and Embase via Ovid (1974-present) for published articles in peer-reviewed scientific journals. We will also search for prospective trials in the registries run by the US National Institutes of Health and the World Health Organization (WHO). Articles will be screened by two investigators independently and included if they describe the use of digital health interventions in the post critical care setting. The Preferred Reporting Items for Systematic reviews and meta-analysis (PRISMA-ScR) guidelines will be followed. For included studies, we will extract and report qualitative and quantitative data (where available) to identify potential research gaps and opportunities.
Experiences in Use of Transient Stability Assessment Tools in Control Centers
Creators: Alex Lee
Luis  Pabon Ospina
Stephen Boroczky
Djordje Atanackovic
Publisher: name: IEEE
Year: 2024

Voltage Stability Assessment and Transient Stability Assessment tools are a part of the Energy Management System (EMS) and are very important advanced network application functions in Control Centers. The objective of this panel session is to share the experiences of use of Transient Stability Assessment Tools in control centers. Panelists are from various grid operators who are using these tools in their grid operations
Voltage Stability Assessment and Transient Stability Assessment tools are a part of the Energy Management System (EMS) and are very important advanced network application functions in Control Centers. The objective of this panel session is to share the experiences of use of Transient Stability Assessment Tools in control centers. Panelists are from various grid operators who are using these tools in their grid operations
The roles of Pumped Storage Hydro in modern power systems
Creators: Alois Lechner
Teruyuki Ishizuki
Mark Lauby
Osamu Nagura
Mark Weimar
Andrew Groom
Publisher: name: IEEE
Year: 2024

The role of pumped storage hydropower in modern power systems will be very significant due to the power and energy capacity of the power plants.  The fast response and flexibility of PSH especially Advanced PSH enables large-scale implementation of renewable energy even in weak-grid conditions where the local grid codes can be very restrictive. This panel will discuss various aspects of pumped storage hydropower, including dynamic response, economic and market design aspects, in a panel discussion forum, to encourage electrical engineers within the Power and Energy Society to participate in research, development, and demonstration of PSH activities, and to open dialog among many different experts and stakeholder organizations for possible future collaborations.
The role of pumped storage hydropower in modern power systems will be very significant due to the power and energy capacity of the power plants.  The fast response and flexibility of PSH especially Advanced PSH enables large-scale implementation of renewable energy even in weak-grid conditions where the local grid codes can be very restrictive. This panel will discuss various aspects of pumped storage hydropower, including dynamic response, economic and market design aspects, in a panel discussion forum, to encourage electrical engineers within the Power and Energy Society to participate in research, development, and demonstration of PSH activities, and to open dialog among many different experts and stakeholder organizations for possible future collaborations.
LVMB manifolds and quotients of toric varieties
Creators: name: Battisti, Laurent
Publisher: name: arXiv
Year: 2012
Subjects: subject: Complex Variables (math.CV)
subject: FOS: Mathematics
subject: 32Q99, 32M05

description: In this article, we study a class of manifolds introduced by Bosio called $\LVMB$ manifolds. We provide an interpretation of his construction in terms of quotient of toric manifolds by complex Lie groups. Furthermore, $\LVMB$ manifolds extend a class of manifolds obtained by Meersseman, called $\LVM$ manifolds, and we give a characterization of these manifolds using our toric description. Finally, we give an answer to a question asked by Cupit-Foutou and Zaffran.
description: 23 pages, 2 figures
BPS solutions in ABJM theory and Maximal Super Yang-Mills on RxS^2
Creators: name: Ezhuthachan, Bobby
name: Shimasaki, Shinji
name: Yokoyama, Shuichi
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We investigate BPS solutions in ABJM theory on RxS^2. We find new BPS solutions, which have nonzero angular momentum as well as nontrivial configurations of fluxes. Applying the "Higgsing procedure" of arxiv:0803.3218 around a 1/2-BPS solution of ABJM theory, one obtains N=8 super Yang-Mills (SYM) on RxS^2. We also show that other BPS solutions of the SYM can be obtained from BPS solutions of ABJM theory by this higgsing procedure.
description: 33 pages, v2: minor corrections, references added
Voltage Control of Dual Active Bridge Converter for CO-Amorphous Core Material Based Solid-State Transformer Application
Creators: name: Meena, Kalpana
name: Palwalia, D. K.
Publisher: name: figshare
Year: 2020
Subjects: subject: 90699 Electrical and Electronic Engineering not elsewhere classified
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Solid-State Transformer (SST) provides versatile power system operation. In the smart world, there are technologies where everything is incorporated that reduce the size and eventually save time in delivering a fast process. It has been seen that solid-state transformer voltage begins to decrease during operation that needs to be regulated through some control strategy. In this paper, a Dual Active Bridge (DAB) converter has been used to control the voltage of SST that employs the Single-Phase Shift (SPS) technique. For further efficiency improvement Co73(Si, B)27 co-amorphous material has been used for the core of SST because co-amorphous alloy has much lower loss compared with Fe-amorphous cores and have limited saturation flux density. Real-time parameters of core have been used in the analysis. It has been evident from the results that DAB dc-dc converter-based SST with SPS control technique is simple and offers better performance compared to stand-alone SST. It improves the overall performance and efficiency of the system. This paper has been accomplished in Matlab® / Simulink environment.
Origo: Causal Inference by Compression
Creators: name: Budhathoki, Kailash
name: Vreeken, Jilles
Publisher: name: CISPA
Year: 2023

description: Causal inference from observational data is one of the most fundamental problems in science. In general, the task is to tell whether it is more likely that X caused Y, or vice versa, given only data over their joint distribution. In this paper we propose a general inference framework based on Kolmogorov complexity, as well as a practical and computable instantiation based on the Minimum Description Length (MDL) principle. Simply put, we propose causal inference by compression. That is, we infer that X is a likely cause of Y if we can better compress the data by first encoding X, and then encoding Y given X, than in the other direction. To show this works in practice, we propose Origo, an efficient method for inferring the causal direction from binary data. Origo employs the lossless Pack compressor (Tatti & Vreeken, 2008) and searches for that set of decision trees that encodes the data most succinctly. Importantly, it works directly on the data and does not require assumptions about neither distributions nor the type of causal relations. To evaluate Origo in practice, we provide extensive experiments on synthetic, benchmark, and real-world data, including three case studies. Altogether the experiments show that Origo reliably infers the correct causal direction on a wide range of settings.
Probing planetary mass dark matter in galaxies: gravitational nanolensing of multiply imaged quasars
Creators: name: Garsden, H.
name: Bate, N. F.
name: Lewis, G. F.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Gravitational microlensing of planetary-mass objects (or "nanolensing", as it has been termed) can be used to probe the distribution of mass in a galaxy that is acting as a gravitational lens. Microlensing and nanolensing light curve fluctuations are indicative of the mass of the compact objects within the lens, but the size of the source is important, as large sources will smooth out a light curve. Numerical studies have been made in the past that investigate a range of sources sizes and masses in the lens. We extend that work in two ways - by generating high quality maps with over a billion small objects down to a mass of 2.5\times10-5M\odot, and by investigating the temporal properties and observability of the nanolensing events. The system studied is a mock quasar system similar to MG 0414+0534. We find that if variability of 0.1 mag in amplitude can be observed, a source size of ~ 0.1 Einstein Radius (ER) would be needed to see the effect of 2.5\times10-5M\odot masses, and larger, in the microlensing light curve. Our investigation into the temporal properties of nanolensing events finds that there are two scales of nanolensing that can be observed - one due to the crossing of nanolensing caustic bands, the other due to the crossing of nanolensing caustics themselves. The latter are very small, having crossing times of a few days, and requiring sources of size ~ 0.0001 ER to resolve. For sources of the size of an accretion disk, the nanolensing caustics are slightly smoothed-out, but can be observed on time scales of a few days. The crossing of caustic bands can be observed on times scales of about 3 months.
description: 14 pages, 9 figures, 1 table, low-quality images
From entertainment to enlightenment : a study on a cross-cultural religious board game with emphasis on the Table of Buddha Selection designed by Ouyi Zhixu of the late Ming Dynasty
Creators: name: Ngai, May-Ying Mary
Publisher: name: University of British Columbia
Year: 2011

description: Based on textual sources and folk art works, this dissertation is an interdisciplinary investigation of three primary subject matters: the Chinese Buddhist device called the Xuanfo tu 選佛圖 (Table of Buddha Selection), its designer, Ouyi Zhixu 蕅益智旭 (1599-1655), who was a prominent patriarch of the Pure Land School, and a variety of similar religious devices found outside China. Since a religious device of this nature is rarely mentioned in any literature of Chinese Buddhism, one chapter is devoted to reconstructing the history of this device, including those embedded with terms of Buddhism as well as of other Chinese religions. For the same reason of lack of academic study, a historical survey of the game’s secular prototypes, the Shengguan tu 陞官圖 (Table of Bureaucratic Promotion), is also included. These surveys also contain cultural and political conditions under which this gambling-oriented prototype and its religious counterparts were created. Against these backgrounds, Xuanfo tu’s game board and its manual, the Xuanfo pu 選佛譜 (Manual of Buddha Selection), are analyzed contextually to help comprehend their contents and Zhixu’s intentions in creation and preaching. The later chapters continue to trace the cultural journey of the device to other Asian countries — Korea and Japan to the east of China and Tibet, Nepal, India, and Bhutan to the west. Similar religious devices are found to have been circulating in these areas for centuries. A comparative study of them yields fascinating insights that enrich our knowledge of the content and audiences of these games, how the game’s layouts help propagandize religious beliefs, and how these teachings relate to the religious practice of the times. This dissertation 1) demonstrates the roles of the device in spreading Zhixu’s teachings and reputation and generalizing Pure Land teachings during the Ming-Qing dynasties as an example of the Buddhist idea of upāya or expedient means, and 2) attempts to redraw attention to its basic function as a didactical tool and rediscover the otherwise unknown cross-border cultural phenomenon about the adoption of the game that have long been neglected by historians.
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning
Creators: name: Georgoulis, Stamatios
name: Rematas, Konstantinos
name: Ritschel, Tobias
name: Gavves, Efstratios
name: Fritz, Mario
name: van Gool, Luc
name: Tuytelaars, Tinne
Publisher: name: CISPA
Year: 2023

description: —In this paper, we present a method that estimates reflectance and illumination information from a single image depicting a single-material specular object from a given class under natural illumination. We follow a data-driven, learning-based approach trained on a very large dataset, but in contrast to earlier work we do not assume one or more components (shape, reflectance, or illumination) to be known. We propose a two-step approach, where we first estimate the object’s reflectance map, and then further decompose it into reflectance and illumination. For the first step, we introduce a Convolutional Neural Network (CNN) that directly predicts a reflectance map from the input image itself, as well as an indirect scheme that uses additional supervision, first estimating surface orientation and afterwards inferring the reflectance map using a learning-based sparse data interpolation technique. For the second step, we suggest a CNN architecture to reconstruct both Phong reflectance parameters and high-resolution spherical illumination maps from the reflectance map. We also propose new datasets to train these CNNs. We demonstrate the effectiveness of our approach for both steps by extensive quantitative and qualitative evaluation in both synthetic and real data as well as through numerous applications, that show improvements over the state-of-the-art.
View-Flattening: Revealing Heterogeneous Multi-Dimensional Data Attributes within a Single View
Creators: name: Hosseinkhani Loorak, Mona
Publisher: name: Graduate Studies
Year: 2018
Subjects: subject: Computer Science

description: The drastic increase in data is impacting all knowledge workers and driving demand for effective methods of exploring, analyzing, and understanding data. Much of this ever-growing data is heterogeneous multi-dimensional data. In other words, it may have many multi-typed data attributes. Currently, the tendency is to approach this complexity through a type of divide and conquer technique by making multiple views using largely familiar visualizations, and providing types of filtering interactions. In this PhD research, we examine whether it is possible to try a different approach to this problem by considering to what extent existing or familiar visual representations can be extended to incorporating multiple heterogeneous data attributes into a single view. This is the idea behind a concept that we call view-flattening. To explore this idea, we have designed and implemented new interactive visualizations of heterogeneous multi-dimensional data in three domains including security, business intelligence, and health care. In developing these visualizations, we followed a traditional human-centered methodology, working closely with domain experts to understand their data needs and tasks. Designing different domain-specific flattened visualizations acted as a catalyst in this research, through which we derived a generalized view flattening technique that can extend several well-known and familiar visualizations. Our explorations with this technique have resulted in a design space of extended familiar visualizations that can offer expanded possibilities for embedding attributes within a visualization view.
Analytical Methods for Stability Analysis in Future IBR-Dominated Power Systems
Creators: Sairaj Dhople
Dominic Gross
Stavros Konstantinopoulos
Mukesh Das
Yunjie Gu
Publisher: name: IEEE
Year: 2024

Integrating renewable sourced inverter-based resources (IBRs) at scale introduces many challenges for power system stability analysis, including increased complexity in dynamic behavior, significant fluctuations in operating conditions, lack of transparency in control implementations, and hybrid dynamics due to inverter switching. Although efforts have been devoted to detailed modeling and numerical studies such as EMT simulation thanks to the advancement of computing capability. It is challenging to obtain analytical and generalizable results from such methodologies. This panel will discuss analytical methods that can be used to analyze the stability of IBR-based power systems.
Integrating renewable sourced inverter-based resources (IBRs) at scale introduces many challenges for power system stability analysis, including increased complexity in dynamic behavior, significant fluctuations in operating conditions, lack of transparency in control implementations, and hybrid dynamics due to inverter switching. Although efforts have been devoted to detailed modeling and numerical studies such as EMT simulation thanks to the advancement of computing capability. It is challenging to obtain analytical and generalizable results from such methodologies. This panel will discuss analytical methods that can be used to analyze the stability of IBR-based power systems.
Table A1: Some of the COVID-19 diagnosis papers.
Creators: name: Mansourian, Marjan
name: Marateb, Hamid Reza
name: Cube, Maja Von
name: Khademi, Sadaf
name: Jordanic, Mislav
name: Villanueva, Miguel Angel Mañanas
name: Binder, Harald
name: Wolkewitz, Martin
Publisher: name: figshare
Year: 2020
Subjects: Medicine

description: This is a table containing some of the studies of COVID-19 diagnosis. It is a supplementary table A1, related to the following chapter:Chapter 14 Reliable diagnosis and prognosis of COVID-19 dataPublished in "Computer-aided Design and Diagnosis Methods for Biomedical Applications" by CRC press.
Screening Methods and Processes to Identify Situations for EMT Studies
Creators: Deepak Ramasubramanian
Andrew Isaacs
Aung Thant
Suman Debnath
Ash Vandaei
Publisher: name: IEEE
Year: 2024

With growing percentage of inverter based resources, it becomes important to identify when and where detailed EMT scenarios are to be studied. Traditional metrics of short circuit ratio (SCR) are not sufficient to provide this insight and more advanced metrics are required. This panel with illustrate examples of various methods that are used in industry to identify when detailed EMT scenarios are to be studied
With growing percentage of inverter based resources, it becomes important to identify when and where detailed EMT scenarios are to be studied. Traditional metrics of short circuit ratio (SCR) are not sufficient to provide this insight and more advanced metrics are required. This panel with illustrate examples of various methods that are used in industry to identify when detailed EMT scenarios are to be studied
When the Crypto in Cryptocurrencies Breaks: Bitcoin Security under Broken Primitives
Creators: name: Giechaskiel, Ilias
name: Cremers, Cas
name: Rasmussen, Kasper B.
Publisher: name: CISPA
Year: 2023

description: Digital currencies such as Bitcoin rely on cryptographic primitives to operate. However, past experience shows that cryptographic primitives do not last forever: increased computational power and advanced cryptanalysis cause primitives to break and motivate the development of new ones. It is therefore crucial for maintaining trust in a cryptocurrency to anticipate such breakage. We present the first systematic analysis of the effect of broken primitives on Bitcoin. We analyze the ways in which Bitcoin’s core cryptographic building blocks can break and the subsequent effect on the main Bitcoin security guarantees. Our analysis reveals a wide range of possible effects depending on the primitive and type of breakage, ranging from minor privacy violations to a complete breakdown of the currency. Our results lead to several suggestions for the Bitcoin migration plans and insights for other cryptocurrencies in case of broken or weakened cryptographic primitives.
From First Lyapunov Coefficients to Maximal Canards
Creators: name: Kuehn, Christian
Publisher: name: arXiv
Year: 2012
Subjects: subject: Dynamical Systems (math.DS)
subject: Numerical Analysis (math.NA)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Hopf bifurcations in fast-slow systems of ordinary differential equations can be associated with surprising rapid growth of periodic orbits. This process is referred to as canard explosion. The key step in locating a canard explosion is to calculate the location of a special trajectory, called a maximal canard, in parameter space. A first-order asymptotic expansion of this location was found by Krupa and Szmolyan in the framework of a "canard point"-normal-form for systems with one fast and one slow variable. We show how to compute the coefficient in this expansion using the first Lyapunov coefficient at the Hopf bifurcation thereby avoiding use of this normal form. Our results connect the theory of canard explosions with existing numerical software, enabling easier calculations of where canard explosions occur.
description: preprint version - for final version see journal reference
Type-elimination-based reasoning for the description logic SHIQbs using decision diagrams and disjunctive datalog
Creators: name: Rudolph, Sebastian
name: Krötzsch, Markus
name: Hitzler, Pascal
Publisher: name: arXiv
Year: 2012
Subjects: subject: Logic in Computer Science (cs.LO)
subject: Artificial Intelligence (cs.AI)
subject: Logic (math.LO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: I.2.4, I.2.3, F.4.3, F.4.1

description: We propose a novel, type-elimination-based method for reasoning in the description logic SHIQbs including DL-safe rules. To this end, we first establish a knowledge compilation method converting the terminological part of an ALCIb knowledge base into an ordered binary decision diagram (OBDD) which represents a canonical model. This OBDD can in turn be transformed into disjunctive Datalog and merged with the assertional part of the knowledge base in order to perform combined reasoning. In order to leverage our technique for full SHIQbs, we provide a stepwise reduction from SHIQbs to ALCIb that preserves satisfiability and entailment of positive and negative ground facts. The proposed technique is shown to be worst case optimal w.r.t. combined and data complexity and easily admits extensions with ground conjunctive queries.
description: 38 pages, 3 figures, camera ready version of paper accepted for publication in Logical Methods in Computer Science
Voltage and Current Sensor Applications - From Planning to Field Validation
Creators: Thomas Sizemore
Nick Nakamura
Ron Pate
Kristi Wray
Publisher: name: IEEE
Year: 2024

The rapid changes in today’s distribution grid have created a demand for accurate voltage and current measurement systems which have improved cost and operational performance characteristics when compared to systems with conventional technology such as instrument transformers. Low energy voltage and current sensors, also known as non-conventional or low-power instrument transformers, offer significant advantages and opportunities for application within this evolving grid. This session will explore planning and field installation for these medium voltage current and voltage sensors and sensor systems.  This panel session will discuss the proper selection of sensors and sensor systems for specific applications, will provide valuable installation considerations and best practices, will review choosing accuracy requirements according to the needed application, and will highlight important field-testing considerations.   This panel session is ideal for anyone who is looking to learn more about, or who is considering deployment of, voltage and current sensors and/or IEDs (meters, controllers, relays, etc.) for measurement or control purposes.
The rapid changes in today’s distribution grid have created a demand for accurate voltage and current measurement systems which have improved cost and operational performance characteristics when compared to systems with conventional technology such as instrument transformers. Low energy voltage and current sensors, also known as non-conventional or low-power instrument transformers, offer significant advantages and opportunities for application within this evolving grid. This session will explore planning and field installation for these medium voltage current and voltage sensors and sensor systems.  This panel session will discuss the proper selection of sensors and sensor systems for specific applications, will provide valuable installation considerations and best practices, will review choosing accuracy requirements according to the needed application, and will highlight important field-testing considerations.   This panel session is ideal for anyone who is looking to learn more about, or who is considering deployment of, voltage and current sensors and/or IEDs (meters, controllers, relays, etc.) for measurement or control purposes.
evoExplore: Multiscale Visualization for Evolutionary Design Histories
Creators: name: Kelly, Justin
Publisher: name: Graduate Studies
Year: 2018
Subjects: subject: Computer Science

description: evoExplore is a system designed to assist evolutionary design projects. Built in the Unity 3D game engine and designed with future development and expansion in mind, evoExplore allows the user to collect and visualize data from evolutionary design experiments in 3D. The user is provided the tools needed to breed their own evolving populations, record the results from such evolutionary experiments and then visualize the recorded data as a series of 3D columns and rings representing the recorded evolutionary experiments and their populations over time. evoExplore allows the user to dynamically explore their own evolutionary experiments, as well as those produced by other users, in order to better understand the data produced by these evolutionary systems. In this document we describe the features of evoExplore, the engine it was built in, the use of virtual reality in evoExplore and the contributions our system brings to the field
Redefining Risk for Next Generation Bulk Power Grid: A System Operation Perspective
Creators: Ulrich Muenz
Rahul Chakraborty
Junbo Zhao
Guillermo Bautista Alderete
John  Seuss
Publisher: name: IEEE
Year: 2024

With the integration of utility scale renewable energy plants, the transmission network is facing tremendous challenges in terms of increased operational risks from renewables, dynamics-induced instabilities, fluctuating market economics, etc. The next generation grid operators should develop tools to find a balance between different types of risks and system performance optimization. Even though the approaches such as stochastic unit-commitment, probabilistic optimal power flow, physics-aware learning and control methods exist, their implementation in large-scale models face computational and feasibility challenges. To address these bottlenecks, the first step is to explicitly define risk with deterministic range-based risk-scoring, i.e., tranche level characterization of the system parameters and then formulate a multi-objective optimization solver which can tradeoff between various classes of risk-awareness and enhance the global performance of the system.  This panel session will bring together experts from both industry and academia to find the roadmap in navigating through these risks strategically.
With the integration of utility scale renewable energy plants, the transmission network is facing tremendous challenges in terms of increased operational risks from renewables, dynamics-induced instabilities, fluctuating market economics, etc. The next generation grid operators should develop tools to find a balance between different types of risks and system performance optimization. Even though the approaches such as stochastic unit-commitment, probabilistic optimal power flow, physics-aware learning and control methods exist, their implementation in large-scale models face computational and feasibility challenges. To address these bottlenecks, the first step is to explicitly define risk with deterministic range-based risk-scoring, i.e., tranche level characterization of the system parameters and then formulate a multi-objective optimization solver which can tradeoff between various classes of risk-awareness and enhance the global performance of the system.  This panel session will bring together experts from both industry and academia to find the roadmap in navigating through these risks strategically.
Significant Revisions to Power Quantity Definitions and Instrumentation Standards
Creators: Harold Kirkham
Branislav Djokic
David Laverty
Andrew Berrisford
Branislav Djokic
Publisher: name: IEEE
Year: 2024

Reactive power and power factor have been challenging to measure for a century. The revised IEEE Standard 1459 is intended to address the problems. In fact, two measurement-related standards have been revised. IEEE Standard 120 (Master Test Guide for Electrical Measurements in Power Circuits) deals mainly with instrumentation. It has been extensively revised and updated to reflect modern digital techniques. Standard 1459 (Standard Definitions for the Measurement of Electric Power Quantities Under Sinusoidal, Nonsinusoidal, Balanced, or Unbalanced Conditions) deals with measurement. The power quantities in question are power, reactive power, apparent power and power factor. The manner in which these quantities are treated has been extensively revised to reflect the appropriate considerations of measurement science. The measurement of waveform period has been added as a part of these measurements.
Reactive power and power factor have been challenging to measure for a century. The revised IEEE Standard 1459 is intended to address the problems. In fact, two measurement-related standards have been revised. IEEE Standard 120 (Master Test Guide for Electrical Measurements in Power Circuits) deals mainly with instrumentation. It has been extensively revised and updated to reflect modern digital techniques. Standard 1459 (Standard Definitions for the Measurement of Electric Power Quantities Under Sinusoidal, Nonsinusoidal, Balanced, or Unbalanced Conditions) deals with measurement. The power quantities in question are power, reactive power, apparent power and power factor. The manner in which these quantities are treated has been extensively revised to reflect the appropriate considerations of measurement science. The measurement of waveform period has been added as a part of these measurements.
Realizable machine learning in resilient power grids: from lab developments to industrial applications
Creators: Goran Strbac
Zhaoyu Wang
Hong Chen
Akansha Jain
Jin Zhao
Yannan Sun
Publisher: name: IEEE
Year: 2024

In recent years, significant efforts have been devoted to developing machine learning (ML) techniques for efficient and resilient powers system operation and control. Although the academic side has developed various advanced techniques, there is still a gap between lab-based ML and industrial applications. In this panel, the focus will be given to the existing gap between academic ML research and real-world application, and the possible solutions. Advanced lab-based ML techniques, the current ML application situation, and the needs from the industrial side will be highlighted in this panel. Experts from USA, UK, Germany, Sweden and Ireland, both academia and industry, will share their original ideas and insights to this challenging and inspiring topic.
In recent years, significant efforts have been devoted to developing machine learning (ML) techniques for efficient and resilient powers system operation and control. Although the academic side has developed various advanced techniques, there is still a gap between lab-based ML and industrial applications. In this panel, the focus will be given to the existing gap between academic ML research and real-world application, and the possible solutions. Advanced lab-based ML techniques, the current ML application situation, and the needs from the industrial side will be highlighted in this panel. Experts from USA, UK, Germany, Sweden and Ireland, both academia and industry, will share their original ideas and insights to this challenging and inspiring topic.
Climate Resilience Practices: From Regulatory and Utility Frameworks to Industry Innovations
Creators: Masood Parvania
Merhdad  Majidi
Rohit  Nair
Wendy  Al-Mukdad
Joseph  Potvin
Publisher: name: IEEE
Year: 2024

This panel will bring together experts from diverse sectors to discuss the latest achievements and existing gaps in addressing climate resilience within the utilities of the Western interconnected grid. Our panelists, including leaders from PacifiCorp, the University of Utah, San Diego Gas and Electric, the California Public Utility Commission, and the Electric Power Research Institute, will provide insights into protection strategies against natural disasters such as wildfires and the integration of advanced technologies like machine learning and cyber-physical systems for enhanced grid monitoring and security. The discussion will also cover the regulatory landscape, emphasizing the delicate balance between safety, modernization, and sustainability. Additionally, the panel will highlight innovative solutions for making electric infrastructure, operations, and services more resilient in the face of climate change risks, including pioneering reinforcement technologies designed to fortify our grid against extreme weather events.
This panel will bring together experts from diverse sectors to discuss the latest achievements and existing gaps in addressing climate resilience within the utilities of the Western interconnected grid. Our panelists, including leaders from PacifiCorp, the University of Utah, San Diego Gas and Electric, the California Public Utility Commission, and the Electric Power Research Institute, will provide insights into protection strategies against natural disasters such as wildfires and the integration of advanced technologies like machine learning and cyber-physical systems for enhanced grid monitoring and security. The discussion will also cover the regulatory landscape, emphasizing the delicate balance between safety, modernization, and sustainability. Additionally, the panel will highlight innovative solutions for making electric infrastructure, operations, and services more resilient in the face of climate change risks, including pioneering reinforcement technologies designed to fortify our grid against extreme weather events.
The Casimir effect and mass renormalization for a massive Bosonic string in background B-field
Creators: name: Koohsarian, Y.
name: Shirzad, A.
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the Casimir effect for a massive bosonic string terminating on D-brains, and living in a flat space with an antisymmetric background B-field. We find the Casimir energy and Casimir force as functions of the mass and length of the string and show the force does not depend on B-field. We also find the divergent part of the vacuum state energy, as a function of the mass and length of the string and offer an idea for renormalization of the mass of the string.
description: 7 pages, 1 figure