cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Performance Evaluation Metrics for Artificial Intelligence (AI) and Traditional Approaches in Modern Power Systems
Creators: A. Bose
B. Saber
Y. Zhang
Publisher: name: IEEE
Year: 2022

Artificial Intelligence (AI) has evolved over the last 50 years to transform operations and control of complex systems. Modern power systems are complex systems. This panel will address performance metrics currently used by the power and energy industry for evaluating traditional approaches for system operations, control, and management, and how such metrics and new ones can be extended to evaluate AI approaches. AI approaches need to be benchmarked against current state-of-the-art approaches for their rapid deployment by the industry.
Artificial Intelligence (AI) has evolved over the last 50 years to transform operations and control of complex systems. Modern power systems are complex systems. This panel will address performance metrics currently used by the power and energy industry for evaluating traditional approaches for system operations, control, and management, and how such metrics and new ones can be extended to evaluate AI approaches. AI approaches need to be benchmarked against current state-of-the-art approaches for their rapid deployment by the industry.
Recent experiences and insights on the development and application of generic models used to represent renewable resources in transient stability programs
Creators: P. Pourbeik
S. Rao
J. Senthil
D. Ramasubramani
P. Sorensen
Publisher: name: IEEE
Year: 2022

Recognizing the need for generic dynamic models to represent renewable resources, several organizations in the Unites States and Europe have led concerted efforts to develop such models. This work spans several years and has resulted in the implementation of generic models of renewable power plants in several commercial transient stability programs.  From their inception, it was recognized that the models needed to be updated and enhanced to reflect the evolving inverter-based technologies and the experiences acquired in the field.  The objective of this panel session is to disseminate, document, and discuss the latest experiences and insights acquired by researchers, software developers, and users of the generic models.
Recognizing the need for generic dynamic models to represent renewable resources, several organizations in the Unites States and Europe have led concerted efforts to develop such models. This work spans several years and has resulted in the implementation of generic models of renewable power plants in several commercial transient stability programs.  From their inception, it was recognized that the models needed to be updated and enhanced to reflect the evolving inverter-based technologies and the experiences acquired in the field.  The objective of this panel session is to disseminate, document, and discuss the latest experiences and insights acquired by researchers, software developers, and users of the generic models.
Quale futuro per le riviste accademiche
Creators: name: Borghi, Daniele
Publisher: name: Università degli Studi di Milano
Year: 2014
Subjects: Open Access; Road Map 2014-2018; ANVUR; CRUI; riviste scientifiche

description: Relazione della Tavola rotonda «Quale futuro per le riviste accademiche? Open Access, valutazione e distribuzione», 28 novembre 2014, Padova, Collegio Morgagni.
description: ENTHYMEMA, No 11 (2014)
Anharmonic classical time crystals: A coresonance pattern formation mechanism
Creators: name: Nicolaou, Zachary G.
name: Motter, Adilson E.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Driven many-body systems have been shown to exhibit discrete time crystal phases characterized by broken discrete time-translational symmetry. This has been achieved generally through a subharmonic response, in which the system undergoes one oscillation every other driving period. Here, we demonstrate that classical time crystals do not need to resonate in a subharmonic fashion but instead can also exhibit a continuously tunable anharmonic response to driving, which we show can emerge through a coresonance between modes in different branches of the dispersion relation in a parametrically driven medium. This response, characterized by a typically incommensurate ratio between the resonant frequencies and the driving frequency, is demonstrated by introducing a time crystal model consisting of an array of coupled pendula with alternating lengths. Importantly, the coresonance mechanism is the result of a bifurcation involving a fixed point and an invariant torus, with no intermediate limit cycles. This bifurcation thus gives rise to a many-body symmetry-breaking phenomenon directly connecting the symmetry-unbroken phase with a previously uncharacterized phase of matter, which we call an anharmonic time crystal phase. The mechanism is shown to generalize to driven media with any number of coupled fields and is expected to give rise to anharmonic responses in a range of weakly damped pattern-forming systems, with potential applications to the study of nonequilibrium phases, frequency conversion, and acoustic cloaking.
description: 11 pages, 7 figures
Domain imaging and domain wall propagation in (Ga,Mn)As thin films with tensile strain
Creators: name: Wang, K. Y.
name: Rushforth, A. W.
name: Grant, V. A.
name: Campion, R. P.
name: Edmonds, K. W.
name: Staddon, C. R.
name: Foxon, C. T.
name: Gallagher, B. L.
name: Wunderlich, J.
name: Williams, D. A.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We have performed spatially resolved Polar Magneto-Optical Kerr Effect Microscopy measurements on as-grown and annealed Ga0.95Mn0.05As thin films with tensile strain. We find that the films exhibit very strong perpendicular magnetic anisotropy which is increased upon annealing. During magnetic reversal, the domain walls propagate along the direction of surface ripples for the as-grown sample at low temperatures and along the [110] direction for the annealed sample. This indicates that the magnetic domain pattern during reversal is determined by a combination of magnetocrystalline anisotropy and a distribution of pinning sites along the surface ripples that can be altered by annealing. These mechanisms could lead to an effective method of controlling domain wall propagation.
description: 8 pages, 3 figures. to appear in Journal of Applied Physics
Additional file 3 of The effect of training and supervision on primary health care workers’ competence to deliver maternal depression inclusive health education in Ibadan, Nigeria: a quasi-experimental study
Creators: name: Adefolarin, Adeyinka Olufolake
name: Gershim, Asiki
name: Sola, Arulogun Oyedunni
name: Oye, Gureje
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 3.
Learning to Predict, Trade and Operate in the Electricity Market
Creators: N. Yu
Publisher: name: IEEE
Year: 2022

The combination of strict environmental policies, uncertain weather patterns, and intermittent renewable energy resources makes it increasingly challenging to predict, trade, and operate in the electricity market. This panel session brings together experts to discuss the best strategy to leverage and apply machine learning techniques in electricity markets. The panel covers applications of machine learning techniques to improve the market efficiency and market participants’ utility. Specifically, machine learning-driven algorithmic trading strategies will be covered from the perspective of market participants. Statistical learning and graph learning techniques will be presented to improve the forecast the locational marginal prices. Examples of machine learning applications will also be introduced based on ISO’s current market designs.
The combination of strict environmental policies, uncertain weather patterns, and intermittent renewable energy resources makes it increasingly challenging to predict, trade, and operate in the electricity market. This panel session brings together experts to discuss the best strategy to leverage and apply machine learning techniques in electricity markets. The panel covers applications of machine learning techniques to improve the market efficiency and market participants’ utility. Specifically, machine learning-driven algorithmic trading strategies will be covered from the perspective of market participants. Statistical learning and graph learning techniques will be presented to improve the forecast the locational marginal prices. Examples of machine learning applications will also be introduced based on ISO’s current market designs.
Clustering of heterogeneous populations of networks
Creators: name: Young, Jean-Gabriel
name: Kirkley, Alec
name: Newman, M. E. J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Statistical methods for reconstructing networks from repeated measurements typically assume that all measurements are generated from the same underlying network structure. This need not be the case, however. People's social networks might be different on weekdays and weekends, for instance. Brain networks may differ between healthy patients and those with dementia or other conditions. Here we describe a Bayesian analysis framework for such data that allows for the fact that network measurements may be reflective of multiple possible structures. We define a finite mixture model of the measurement process and derive a fast Gibbs sampling procedure that samples exactly from the full posterior distribution of model parameters. The end result is a clustering of the measured networks into groups with similar structure. We demonstrate the method on both real and synthetic network populations.
description: 12 pages, 3 figures
Emergent multipolar spin correlations in a fluctuating spiral - The frustrated ferromagnetic S=1/2 Heisenberg chain in a magnetic field
Creators: name: Sudan, J.
name: Luscher, A.
name: Laeuchli, A.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We present the phase diagram of the frustrated ferromagnetic S=1/2 Heisenberg J_1-J_2 chain in a magnetic field, obtained by large scale exact diagonalizations and density matrix renormalization group simulations. A vector chirally ordered state, metamagnetic behavior and a sequence of spin-multipolar Luttinger liquid phases up to hexadecupolar kind are found. We provide numerical evidence for a locking mechanism, which can drive spiral states towards spin-multipolar phases, such as quadrupolar or octupolar phases. Our results also shed light on previously discovered spin-multipolar phases in two-dimensional $S=1/2$ quantum magnets in a magnetic field.
description: 4+ pages, 4 figures
Additional file 4 of The effect of training and supervision on primary health care workers’ competence to deliver maternal depression inclusive health education in Ibadan, Nigeria: a quasi-experimental study
Creators: name: Adefolarin, Adeyinka Olufolake
name: Gershim, Asiki
name: Sola, Arulogun Oyedunni
name: Oye, Gureje
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 4.
Steroid hormone receptors and plasminogen activator in human breast cancer : their value in prognosis
Creators: name: Humphries, Karin Hartmann
Publisher: name: University of British Columbia
Year: 2010

description: Steroid hormone receptor analysis has emerged as an important aid to prognosis in human breast cancer. The availability of ¹²⁵I-labeled estradiol led to the development of a dual-label assay for the simultaneous determination of estrogen and progesterone receptor content. There are indications that plasminogen activator activity may also serve as a prognostic indicator in breast cancer. Two methods, one fluorometric and the other spectrophotometric were examined for their suitability in assaying for plasminogen activator activity. Both assays were found to be equally suitable for the determination of this enzyme in breast tumour cytosols. Cytosol from tumour samples stored at -70°C for 18 - 52 months was assayed for steroid receptor content and plasminogen . activator activity. Estrogen receptor (ER) values determined at the time of the original assay were compared with the re-assayed estrogen receptor content. The results showed that this steroid receptor is remarkably stable to storage at -70°C. Comparisons between the two steroid receptors and plasminogen activator (PA) activity showed significant correlations between estrogen receptor and progesterone receptor (PgR) content and between progesterone receptor and plasminogen activator activity.There was no significant correlation between ER and PA activity. Survival curves were constructed to examine the effect of steroid receptor content and plasminogen activator activity on the survival of breast carcinoma patients. Due to the limited number of patients available, statistically significant differences in survival were not evident. However, there was an indication that estrogen receptor positive patients survived longer than their estrogen receptor negative counterparts. PA activity and progesterone receptor content did not appear to influence survival.
Volume and leaf area calculation of cabbage with a neural network-based instance segmentation
Creators: name: Lueling, Nils
name: Reiser, David
name: Griepentrog, Hans W.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Fruit size and leaf area are important indicators for plant health and are of interest for plant nutrient management, plant protection and harvest. In this research, an image-based method for measuring the fruit volume as well as the leaf area for cabbage is presented. For this purpose, a mask region-based convolutional neural network (Mask R-CNN) was trained to segment the cabbage fruit from the leaves and assign it to the corresponding plant. The results indicated that even with a single camera, the developed method can provide a calculation accuracy of fruit size of 92.6% and an accuracy of leaf area of 89.8% on individual plant level.
Additional file 2 of Evaluating the reach, effectiveness, adoption, implementation and maintenance of the Resistance Training for Teens program
Creators: name: Kennedy, Sarah G.
name: Smith, Jordan J.
name: Estabrooks, Paul A.
name: Nathan, Nicole
name: Noetel, Mike
name: Morgan, Philip J.
name: Salmon, Jo
name: Dos Santos, Gessika C.
name: Lubans, David R.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Science Policy
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Computational Biology

description: Additional file 2: Supplementary Table 2. Characteristics of workshop attendees.
Opportunities and challenges for voltage stability with power-electronics-interfaced components
Creators: V. Vittal
V. Ajjarapu
C. Vournas
P. Mitra
A. Srivastava
Publisher: name: IEEE
Year: 2022

The focus of this panel will be analyzing challenges and opportunities with power electronics interfaced components on the voltage stability of the transmission system. With recent wide-spread deployment of power electronics interfaced loads (PEIL), traditional aggregated PQ or ZIP load models are not any more suitable to model the voltage dependency of loads efficiently. Power electronic interfaced loads have piecewise linear behavior in terms of voltage dependency and with increasing PEIL penetration, the behavior of load at aggregated level in distribution system is affected. Piecewise linear models for electronic loads have been adopted generally for composite load models. This change in voltage dependent behavior of loads demands consideration of models that can more efficiently capture the characteristics of load at aggregated level. This panel will discuss: a) analyze the impact of power electronic loads on aggregated load model and T&D simulation, and b) information exchange between advanced distribution grid operators and transmission operators by representing distribution feeders as aggregated load within transmission systems and analyzing impact on the transmission system.
The focus of this panel will be analyzing challenges and opportunities with power electronics interfaced components on the voltage stability of the transmission system. With recent wide-spread deployment of power electronics interfaced loads (PEIL), traditional aggregated PQ or ZIP load models are not any more suitable to model the voltage dependency of loads efficiently. Power electronic interfaced loads have piecewise linear behavior in terms of voltage dependency and with increasing PEIL penetration, the behavior of load at aggregated level in distribution system is affected. Piecewise linear models for electronic loads have been adopted generally for composite load models. This change in voltage dependent behavior of loads demands consideration of models that can more efficiently capture the characteristics of load at aggregated level. This panel will discuss: a) analyze the impact of power electronic loads on aggregated load model and T&D simulation, and b) information exchange between advanced distribution grid operators and transmission operators by representing distribution feeders as aggregated load within transmission systems and analyzing impact on the transmission system.
LearningCity: Knowledge Generation for Smart Cities
Creators: name: Amaxilatis, Dimitrios
name: Mylonas, Georgios
name: Theodoridis, Evangelos
name: Diez, Luis
name: Deligiannidou, Katerina
Publisher: name: arXiv
Year: 2021
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Although we have reached new levels in smart city installations and systems, efforts so far have focused on providing diverse sources of data to smart city services consumers while neglecting to provide ways to simplify making good use of them. In this context, one first step that will bring added value to smart cities is knowledge creation in smart cities through anomaly detection and data annotation, supported in both an automated and a crowdsourced manner. We present here LearningCity, our solution that has been validated over an existing smart city deployment in Santander, and the OrganiCity experimentation-as-a-service ecosystem. We discuss key challenges along with characteristic use cases, and report on our design and implementation, together with some preliminary results derived from combining large smart city datasets with machine learning.
description: Preprint of chapter submitted to "Smart Cities Performability, Cognition, & Security". EAI/Springer Innovations in Communication and Computing. Springer, Cham. arXiv admin note: text overlap with arXiv:2103.16998
Consideration of resilience for digital farming systems
Creators: name: Boekle, Sebastian
name: Koenn, Leon
name: Reiser, David
name: Paraforos, Dimitris S.
name: Griepentrog, Hans W.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Latest and current innovations of agricultural tech industry are increasingly driven by digital technologies. These digital farming solutions provide attractive advantages for farmers. The trend is going to devices and sensors, which send the acquired data directly to the cloud. Also the number of scientific publications on cloud based solutions follows this development. Considering on the other hand the necessity of continuous agricultural production in any kind of crises, new cloud-based digital systems and applications need to be reliable, independent of internet supply. In this conceptual study the necessary resilience is defined, which is marginally taken into account by agtech industry innovations. Problems of development using web-based farming systems are identified and discussed. For digital farming systems the farmers individual needs of resilience are classified into five levels. Consequently, suggestions for soft- and hardware equipment are made. This includes the installation of a farm server, a local farm network, offline applications and consideration of edge computing, which can ensure a high level of resilience of new digital farming components.
Production of trans-Neptunian binaries through chaos-assisted capture
Creators: name: Lee, Ernestine A.
name: Astakhov, Sergey A.
name: Farrelly, David
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: Dynamical Systems (math.DS)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: The recent discovery of binary objects in the Kuiper-belt opens an invaluable window into past and present conditions in the trans-Neptunian part of the Solar System. For example, knowledge of how these objects formed can be used to impose constraints on planetary formation theories. We have recently proposed a binary-object formation model based on the notion of chaos-assisted capture. Here we present a more detailed analysis with calculations performed in the spatial (three-dimensional) three- and four-body Hill approximations. It is assumed that the potential binary partners are initially following heliocentric Keplerian orbits and that their relative motion becomes perturbed as these objects undergo close encounters. First, the mass, velocity, and orbital element distribu- tions which favour binary formation are identified in the circular and elliptical Hill limits. We then consider intruder scattering in the circular Hill four-body problem and find that the chaos-assisted capture mechanism is consistent with observed, apparently randomly distributed, binary mutual orbit inclinations. It also predicts asymmetric distributions of retrograde versus prograde orbits. The time-delay induced by chaos on particle transport through the Hill sphere is analogous to the formation of a resonance in a chemical reaction. Implications for binary formation rates are considered and the 'fine-tuning' problem recently identified by Noll et al. (2007) is also addressed.
description: submitted to MNRAS
title: Apokalypse und Apathie
Creators: name: Mayer, Sylvia
name: Böhnert, Martin
name: Hornisch, Maria
name: Rink, Annika
name: Böhm, Felix
name: Engelhard, Sarah
name: Poloschek, Hanna
name: Kahle, Patrick
name: Dias, Dani
name: Blaumann, Edit
name: Csernák, Janka
name: Wobser, Florian
name: Colligs, Alexandra
name: Pohl, Lucas
name: Mecklenburg, Michael
name: Suttner, Sebastian
name: Beckers, Mirko
name: Aigner, Eva-Marie
name: Tag, Miriam
name: Lang, Silvie
name: Sternath, Vanessa-Nadine
name: Hinterleitner, Lisa
name: Zobel, Mareike
name: Schmitt-Weidmann, Karolin
name: Bauer, Jessica
name: Sinning, Jan
Publisher: name: KOBRA Universität Kassel
Year: 2025
Subjects: subject: Allgemeine Literaturwissenschaft
subject: Cultural Studies
subject: FOS: Other humanities
subject: Humanökologie
subject: Kritische Theorie
subject: Kultursoziologie
subject: Kulturwissenschaft
subject: Kulturtheorie
subject: Medien
subject: Nachhaltigkeit
subject: Ökologie
subject: Umweltethik
subject: Umweltsoziologie
classificationCode: 300
subject: 300
classificationCode: Klimaänderung
subject: Klimaänderung
classificationCode: Umweltkrise
subject: Umweltkrise
classificationCode: Literaturwissenschaft
subject: Literaturwissenschaft
classificationCode: Medien
subject: Medien
classificationCode: Kulturwissenschaften
subject: Kulturwissenschaften
classificationCode: Kultursoziologe
subject: Kultursoziologe
classificationCode: Weltuntergang
subject: Weltuntergang

description:
Die Klimakrise prägt den öffentlichen Diskurs seit Jahrzehnten. Expertinnen und Extremwetterlagen weisen auf die potenziell apokalyptischen Konsequenzen hin, doch ein gesamtgesellschaftliches Handeln im notwendigen Maße findet nicht statt. Letztlich übersteigt die Krise unseren zeitlichen und räumlichen Erfahrungshorizont und eine rein faktenbasierte Vermittlung scheint nicht auszureichen, um Überforderung und Resignation angemessen zu begegnen. Daher loten die Beiträgerinnen aus den Geistes-, Kultur- und Sozialwissenschaften neue Darstellungs- sowie Vermittlungsformen aus, um die Klimakrise als vielfältig verwobenen Problemkomplex zu erfassen – und machen sichtbar, wie darin mögliche Weltuntergänge, Akteur*innen und ihre Möglichkeiten verhandelt werden.
Additional file 4 of Evaluating the reach, effectiveness, adoption, implementation and maintenance of the Resistance Training for Teens program
Creators: name: Kennedy, Sarah G.
name: Smith, Jordan J.
name: Estabrooks, Paul A.
name: Nathan, Nicole
name: Noetel, Michael
name: Morgan, Philip J.
name: Salmon, Jo
name: Dos Santos, Gessika C.
name: Lubans, David R.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Science Policy
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Computational Biology

description: Additional file 4: Supplementary Figure 1a. RT for Teens session observation checklist (page 1, session components). Supplementary Figure 1b. RT for Teens session observation checklist (page 2, SAAFE adherence).
Lagrangian Structure Functions in Turbulence: A Quantitative Comparison between Experiment and Direct Numerical Simulation
Creators: name: Biferale, L.
name: Bodenschatz, E.
name: Cencini, M.
name: Lanotte, A. S.
name: Ouellette, N. T.
name: Toschi, F.
name: Xu, H.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: A detailed comparison between data from experimental measurements and numerical simulations of Lagrangian velocity structure functions in turbulence is presented. By integrating information from experiments and numerics, a quantitative understanding of the velocity scaling properties over a wide range of time scales and Reynolds numbers is achieved. The local scaling properties of the Lagrangian velocity increments for the experimental and numerical data are in good quantitative agreement for all time lags. The degree of intermittency changes when measured close to the Kolmogorov time scales or at larger time lags. This study resolves apparent disagreements between experiment and numerics.
description: 13 RevTeX pages (2 columns) + 8 figures included
Algorithms and Complexity for the Almost Equal Maximum Flow Problem
Creators: name: Haese, Rebekka
name: Heller, Till
name: Krumke, Sven O.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: Computational Complexity (cs.CC)
subject: FOS: Computer and information sciences

description: In the Equal Maximum Flow Problem (EMFP), we aim for a maximum flow where we require the same flow value on all edges in some given subsets of the edge set. In this paper, we study the closely related Almost Equal Maximum Flow Problems (AEMFP) where the flow values on edges of one homologous edge set differ at most by the valuation of a so called deviation function~$Δ$. We prove that the integer almost equal maximum flow problem (integer AEMFP) is in general $\mathcal{NP}$-complete, and show that even the problem of finding a fractional maximum flow in the case of convex deviation functions is also $\mathcal{NP}$-complete. This is in contrast to the EMFP, which is polynomial time solvable in the fractional case. We provide inapproximability results for the integral AEMFP. For the integer AEMFP we state a polynomial algorithm for the constant deviation and concave case for a fixed number of homologous sets.
Current Resource Adequacy Techniques and Shortcomings: Mitigation Strategies and Need to Include Extreme Events in this Analysis
Creators: A. Tuohy
C. Dent
G. Stephen
S. Murphy
Publisher: name: IEEE
Year: 2022

The power industry currently relies on planning methods that underestimate the probability and consequences of loss-of-load events. Power supplies are vulnerable to the increasing frequency of severe weather events (polar vortex, wildfires, etc.), constraints on fuel availability, and correlated changes in the output of meteorologically dependent resources. Current resource adequacy and security analysis methods assume independent asset failures with invariant asset outage probabilities. Consequently, they do not adequately recognize the probability of correlated impacts on the output of multiple resources; accurately measure the frequency or severity of loss-of-load events; or fully account for their economic, public health and safety impacts. While resource adequacy and security analysis modeling methods have always been challenged by correlated failures, the potential for correlation has grown immensely with increased adoption of variable generation technologies and natural gas. Active load participation further introduces uncertainties.
The power industry currently relies on planning methods that underestimate the probability and consequences of loss-of-load events. Power supplies are vulnerable to the increasing frequency of severe weather events (polar vortex, wildfires, etc.), constraints on fuel availability, and correlated changes in the output of meteorologically dependent resources. Current resource adequacy and security analysis methods assume independent asset failures with invariant asset outage probabilities. Consequently, they do not adequately recognize the probability of correlated impacts on the output of multiple resources; accurately measure the frequency or severity of loss-of-load events; or fully account for their economic, public health and safety impacts. While resource adequacy and security analysis modeling methods have always been challenged by correlated failures, the potential for correlation has grown immensely with increased adoption of variable generation technologies and natural gas. Active load participation further introduces uncertainties.
The spectra of IceCube neutrino candidate sources -- I. Optical spectroscopy of blazars
Creators: name: Paiano, Simona
name: Falomo, Renato
name: Treves, Aldo
name: Padovani, Paolo
name: Giommi, Paolo
name: Scarpa, Riccardo
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: There is mounting evidence that ultra-energetic neutrinos of astrophysical origin may be associated with blazars. Here we investigate a unique sample of 47 blazars, $\sim 20$ of which could be new neutrino sources. In particular, we focus on 17 objects of yet unknown redshift, for which we present optical spectroscopy secured at the Gran Telescopio Canarias and the ESO Very Large Telescope. We find all sources but one (a quasar) to be BL Lac objects. For nine targets we are able to determine the redshift (0.09~$
description: 18 pages, 4 figures, 9 Tables, Accepted for publication by MNRAS
Power Quality Issues of Grid Modernization Activities
Creators: T. Key
M. Halpin
D. Mueller
Publisher: name: IEEE
Year: 2022

The session will explore power quality issues - including both concerns and improvement opportunities - associated with grid modernization activities.  Power quality phenomena include momentary outages, voltage sags and swell, volt flicker, rapid voltage variations, harmonics, and transient overvoltages.  Grid modernization activities include large renewable energy power plants, distributed energy resources, application of STATCOM and FACTS devices, distribution management systems (including DERMS).  Emphasis will be given to application case histories on utility transmission and distribution systems.
The session will explore power quality issues - including both concerns and improvement opportunities - associated with grid modernization activities.  Power quality phenomena include momentary outages, voltage sags and swell, volt flicker, rapid voltage variations, harmonics, and transient overvoltages.  Grid modernization activities include large renewable energy power plants, distributed energy resources, application of STATCOM and FACTS devices, distribution management systems (including DERMS).  Emphasis will be given to application case histories on utility transmission and distribution systems.
On the influence of halo mass accretion history on galaxy properties and assembly bias
Creators: name: Montero-Dorta, Antonio D.
name: Chaves-Montero, Jonás
name: Artale, M. Celeste
name: Favole, Ginevra
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Halo assembly bias is the secondary dependence of the clustering of dark-matter haloes on their assembly histories at fixed halo mass. This established dependence is expected to manifest itself on the clustering of the galaxy population, a potential effect commonly known as galaxy assembly bias. Using the IllustrisTNG300 magnetohydrodynamical simulation, we analyse the dependence of the properties and clustering of galaxies on the shape of the specific mass accretion history of their hosting haloes (sMAH). We first show that several halo and galaxy properties strongly correlate with the slope of the sMAH ($β$) at fixed halo mass. Namely, haloes with increasingly steeper $β$ increment their halo masses faster at early times, and their hosted galaxies present larger stellar-to-halo mass ratios, lose their gas faster, reach the peak of their star formation histories at higher redshift, and become quenched earlier. We also demonstrate that $β$ is more directly connected to these key galaxy formation properties than other broadly employed halo proxies, such as formation time. Finally, we measure the secondary dependence of galaxy clustering on $β$ at fixed halo mass as a function of redshift. By tracing back the evolution of individual haloes, we show that the amplitude of the galaxy assembly bias signal for the progenitors of $z=0$ galaxies increases with redshift, reaching a factor of 2 at $z = 1$ for haloes of $M_\mathrm{halo}=10^{11.5}-10^{12}$ $h^{-1}\mathrm{M}_\odot$. The measurement of the evolution of assembly bias along the merger tree provides a new theoretical perspective to the study of secondary bias. Our findings, which show a tight relationship between halo accretion and both the clustering and the observational properties of the galaxy population, have also important implications for the generation of mock catalogues for upcoming cosmological surveys.
description: 10 pages, 6 figures. Submitted to MNRAS
Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport
Creators: name: Fan, Zheyong
name: Zeng, Zezhu
name: Zhang, Cunzhi
name: Wang, Yanzhou
name: Dong, Haikuan
name: Chen, Yue
name: Ala-Nissila, Tapio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: We develop a neuroevolution-potential (NEP) framework for generating neural network based machine-learning potentials. They are trained using an evolutionary strategy for performing large-scale molecular dynamics (MD) simulations. A descriptor of the atomic environment is constructed based on Chebyshev and Legendre polynomials. The method is implemented in graphic processing units within the open-source GPUMD package, which can attain a computational speed over $10^7$ atom-step per second using one Nvidia Tesla V100. Furthermore, per-atom heat current is available in NEP, which paves the way for efficient and accurate MD simulations of heat transport in materials with strong phonon anharmonicity or spatial disorder, which usually cannot be accurately treated either with traditional empirical potentials or with perturbative methods.
description: 18 pages, 10 figures, 2 tables, code and data available
Kaon Condensation with Lattice QCD
Creators: name: Detmold, William
name: Orginos, Kostas
name: Savage, Martin J.
name: Walker-Loud, Andre
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Kaon condensation may play an important role in the structure of hadronic matter at densities greater than that of nuclear matter, as exist in the interior of neutron stars. We present the results of the first lattice QCD investigation of kaon condensation obtained by studying systems containing up to twelve negatively charged kaons. Surprisingly, the properties of the condensate that we calculate are remarkably well reproduced by leading order chiral perturbation theory. In our analysis, we also determine the three-kaon interaction from the multi-kaon systems and update our results for pion condensates.
description: 16 pages, 5 figures
SHPO-CON-532: RE: Section 110 George Long/Walter and Lora Hall Ranch (CA-SBA-2195H), Vandenberg SFB, Santa Barbara County
Creators: name: Polanco, Julianne
Year: 2025
Subjects: subject: Santa Barbara (County)
valueUri: https://core.tdar.org/browse/geographic-keyword/3486/santa-barbara-county
subject: Vandenberg Air Force Base (VAFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85469/vandenberg-air-force-base-vafb
subject: Vandenberg Space Force Base (VSFB)
valueUri: https://core.tdar.org/browse/geographic-keyword/85584/vandenberg-space-force-base-vsfb
subject: United States of America (Country)
valueUri: https://core.tdar.org/browse/geographic-keyword/384/united-states-of-america-country
subject: North America (Continent)
valueUri: https://core.tdar.org/browse/geographic-keyword/2890/north-america-continent
subject: California (State / Territory)
valueUri: https://core.tdar.org/browse/geographic-keyword/1484/california-state-territory
subject: CA-SBA-2195H
valueUri: https://core.tdar.org/browse/site-name/101009/ca-sba-2195h

description: This document is a concurrence letter from the State Historic Preservation Officer (SHPO) to Vandenberg Space Force Base (VSFB). SHPO concurs with the determination regarding the George Long/Walter and Lora Hall Ranch. The site is not eligible for the National Register of Historic Places under any criteria.
Automorphism groups and anti-pluricanonical curves
Creators: name: Zhang, De-Qi
Publisher: name: arXiv
Year: 2007
Subjects: subject: Algebraic Geometry (math.AG)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 14J26, 14J50, 37B40, 32H50

description: We show the existence of an anti-pluricanonical curve on every smooth projective rational surface X which has an infinite group G of automorphisms of either null entropy or of type Z . Z (semi-direct product), provided that the pair (X, G) is minimal. This was conjectured by Curtis T. McMullen (2005) and further traced back to Marat Gizatullin and Brian Harbourne (1987). We also prove (perhaps) the strongest form of the famous Tits alternative theorem.
description: Mathematical Research Letters (to appear); 20 pages
Reliability of North American Bulk Power System in the Era of Transformative Technologies
Creators: E. Davies
M. Hong
M. Henry
R. Quint
Publisher: name: IEEE
Year: 2022

The North American power grid is undergoing a significant transition, thanks to the recent technological advancements and innovation. These technologies involve inverter-based resource (solar and wind generation), affordable and large-scale storage systems, residential management and generation units, grid-forming inverters, etc. This panel session aims to provide an insight from the industry leaders on how these technologies are changing the landscape of the North American power grid and, subsequently, its reliability.
The North American power grid is undergoing a significant transition, thanks to the recent technological advancements and innovation. These technologies involve inverter-based resource (solar and wind generation), affordable and large-scale storage systems, residential management and generation units, grid-forming inverters, etc. This panel session aims to provide an insight from the industry leaders on how these technologies are changing the landscape of the North American power grid and, subsequently, its reliability.
Anomalous Scaling and Refined Similarity of an Active Scalar in a Model of Homogeneous Turbulent Convection
Creators: name: Ching, Emily S. C.
name: Cheng, W. C.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: Anomalous scaling in the statistics of an active scalar in homogeneous turbulent convection is studied using a dynamical shell model. We extend refined similarity ideas for homogeneous and isotropic turbulence to homogeneous turbulent convection and attribute the origin of the anomalous scaling to variations of the entropy transfer rate. We verify the consequences and thus the validity of our hypothesis by showing that the conditional statistics of the active scalar and the velocity at fixed values of entropy transfer rate are not anomalous but have simple scaling with exponents given by dimensional considerations, and that the intermittency corrections are given by the scaling exponents of the moments of the entropy transfer rate.
Uncovering Extremely Metal-Poor Stars in the Milky Way's Ultra-Faint Dwarf Spheroidal Satellite Galaxies
Creators: name: Kirby, Evan N.
name: Simon, Joshua D.
name: Geha, Marla
name: Guhathakurta, Puragra
name: Frebel, Anna
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present new metallicity measurements for 298 individual red giant branch stars in eight of the least luminous dwarf spheroidal galaxies (dSphs) in the Milky Way (MW) system. Our technique is based on medium resolution Keck/DEIMOS spectroscopy coupled with spectral synthesis. We present the first spectroscopic metallicities at [Fe/H] < -3.0 of stars in a dwarf galaxy, with individual stellar metallicities as low as [Fe/H] = -3.3. Because our [Fe/H] measurements are not tied to empirical metallicity calibrators and are sensitive to arbitrarily low metallicities, we are able to probe this extremely metal-poor regime accurately. The metallicity distribution of stars in these dSphs is similar to the MW halo at the metal-poor end. We also demonstrate that the luminosity-metallicity relation previously seen in more luminous dSph galaxies (M_V = -13.4 to -8.8) extends smoothly down to an absolute magnitude of M_V = -3.7. The discovery of extremely metal-poor stars in dSphs lends support to the LCDM galaxy assembly paradigm wherein dwarf galaxies dissolve to form the stellar halo of the MW.
description: 5 pages, 5 figures, accepted for publication in ApJL
Additional file 5 of Evaluating the reach, effectiveness, adoption, implementation and maintenance of the Resistance Training for Teens program
Creators: name: Kennedy, Sarah G.
name: Smith, Jordan J.
name: Estabrooks, Paul A.
name: Nathan, Nicole
name: Noetel, Michael
name: Morgan, Philip J.
name: Salmon, Jo
name: Dos Santos, Gessika C.
name: Lubans, David R.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Science Policy
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Computational Biology

description: Additional file 5: Supplementary Figure 2. RT for Teens exercise library examples (from App).
Coordinated control and co-simulation of power systems in Energy Internet
Creators: G. Burt
T.L. Nguyen
H.T. Nguyen
Y. Xu
Publisher: name: IEEE
Year: 2022

In “Energy Internet” paradigm, the distributed energy resources (DERs) are controlled by edge computation resources with information exchange via communication system. The control architectures, functions, algorithms and validation tools towards this future vision lack attention and investigation. This panel session will discuss the coordinated control and co-simulation method for real-time control and operation of DERs in power systems. Specifically, the communication-aware distributed control for communication-efficient, cyber-resilient, delay-tolerable control of microgrids will be introduced. The data-driven control by using deep reinforcement learning is designed to perform model-free optimal and adaptive control in uncertainty grid environment. The co-simulation techniques and platform to realize these model-based and data-driven control approaches will also be presented.
In “Energy Internet” paradigm, the distributed energy resources (DERs) are controlled by edge computation resources with information exchange via communication system. The control architectures, functions, algorithms and validation tools towards this future vision lack attention and investigation. This panel session will discuss the coordinated control and co-simulation method for real-time control and operation of DERs in power systems. Specifically, the communication-aware distributed control for communication-efficient, cyber-resilient, delay-tolerable control of microgrids will be introduced. The data-driven control by using deep reinforcement learning is designed to perform model-free optimal and adaptive control in uncertainty grid environment. The co-simulation techniques and platform to realize these model-based and data-driven control approaches will also be presented.
Using Data Analytics to Improve Energy Storage Modeling, Dispatch, and Valuation
Creators: A. Crawford
N. Luo
D. Wu
K. Sepetanc
Publisher: name: IEEE
Year: 2022

Energy storage can solve a multitude of issues in today’s rapidly evolving electric power grid and holds great potential for a decarbonized grid with high-renewable penetration. This panel session focuses on the latest research activities and projects on modeling, dispatch, and valuation of energy storage using advanced data analytics. Speakers in this panel session will share lessons learned to date and discuss challenges and gaps in energy storage analytics.
Energy storage can solve a multitude of issues in today’s rapidly evolving electric power grid and holds great potential for a decarbonized grid with high-renewable penetration. This panel session focuses on the latest research activities and projects on modeling, dispatch, and valuation of energy storage using advanced data analytics. Speakers in this panel session will share lessons learned to date and discuss challenges and gaps in energy storage analytics.
Penguin-mediated B_(d,s)->VV decays and the Bs - anti-Bs mixing angle
Creators: name: Descotes-Genon, Sebastien
name: Matias, Joaquim
name: Virto, Javier
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this letter, we propose three different strategies to extract the weak mixing angle phi_s of the Bs system using penguin-mediated decays into vectors, mainly Bs->K*K*, Bs->phi K* and Bs->phi phi. We also provide predictions for the longitudinal branching ratio and CP-asymmetries of Bs->K*K* using a method that combines QCD factorisation with flavour symmetries to relate this decay to its Bd counterpart.
description: 16 pages, 4 figures. References added. Version published in PRD