cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Category of Noncommutative CW Complexes
Creators: name: Diep, Do Ngoc
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Algebra (math.QA)
subject: K-Theory and Homology (math.KT)
subject: FOS: Mathematics

description: We expose the notion of noncommutative CW (NCCW) complexes, define noncommutative (NC) mapping cylinder and NC mapping cone, and prove the noncommutative Approximation Theorem. The long exact homotopy sequences associated with arbitrary morphisms are also deduced.
description: LaTeX2e, 12 pages, no figures
Statistical field theory for a multicomponent fluid: The collective variables approach
Creators: name: Patsahan, Oksana
name: Mryglod, Ihor
name: Caillol, Jean-Michel
Publisher: name: arXiv
Year: 2007
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Using the collective variables (CV) method the basic relations of statistical field theory of a multicomponent non-homogeneous fluids are reconsidered. The corresponding CV action depends on two sets of scalar fields - fields $ρ_α$ connected to the local density fluctuations of the $α$th species of particles and fields $ω_α$ conjugated to $ρ_α$. The explicit expressions for the CV field correlations and their relation to the density correlation functions are found. The perturbation theory is formulated and a mean field level (MF) of the theory is considered in detail.
description: 15 pages
ระบบสารสนเทศเพื่อการจัดการสำหรับการตรวจสอบระบบไมโครกริด
Creators: name: วศิน์วิโรตม์ เนติศักดิ์
Publisher: name: มหาวิทยาลัยมหาสารคาม
Year: 2556
Subjects: ไมโครกริด, ระบบสารสนเทศเพื่อการจัดการ, ระบบจัดการพลังงาน

description: 4, 32, วารสารวิทยาศาสตร์และเทคโนโลยี มหาวิทยาลัยมหาสารคาม
Transmission Planning Challenges in High IBR-Penetrated Grids and Modeling Practices
Creators: X. Liu
X.-P. Zhang
Publisher: name: IEEE
Year: 2023

Transmission planning for grids with high-penetrated IBR faces many challenges using the conventional grid planning tools. Electromagnetic transient (EMT) simulation has become more and more used for grid planning and generator interconnection. In this panel, grid operators and EMT modeling and simulation experts will share their experiences in deal with transmission planning and operation challenges in the era of high penetrations of solar PV, onshore and offshore wind with HVDC delivery. This panel will cover planning and operation challenges in Eversource, Europe, China and how EMT simulation can be used in transmission planning. This panel will also cover fundamentals of EMT simulation, its unique features compared to traditional simulation methods, how to effectively simulate IBRs, and how to conduct analysis. The panelists are well-known industry leaders and researchers.
Presentations in this panel session:
- Eversource Experience with the Simulation and Operation of Renewable Energy Resources (23PESGM2795)
- Offshore wind integration via HVDC and modeling practice (23PESGM2796)
Transmission planning for grids with high-penetrated IBR faces many challenges using the conventional grid planning tools. Electromagnetic transient (EMT) simulation has become more and more used for grid planning and generator interconnection. In this panel, grid operators and EMT modeling and simulation experts will share their experiences in deal with transmission planning and operation challenges in the era of high penetrations of solar PV, onshore and offshore wind with HVDC delivery. This panel will cover planning and operation challenges in Eversource, Europe, China and how EMT simulation can be used in transmission planning. This panel will also cover fundamentals of EMT simulation, its unique features compared to traditional simulation methods, how to effectively simulate IBRs, and how to conduct analysis. The panelists are well-known industry leaders and researchers.
Presentations in this panel session:
- Eversource Experience with the Simulation and Operation of Renewable Energy Resources (23PESGM2795)
- Offshore wind integration via HVDC and modeling practice (23PESGM2796)
Visualizing Adapted Knowledge in Domain Transfer
Creators: name: Hou, Yunzhong
name: Zheng, Liang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: A source model trained on source data and a target model learned through unsupervised domain adaptation (UDA) usually encode different knowledge. To understand the adaptation process, we portray their knowledge difference with image translation. Specifically, we feed a translated image and its original version to the two models respectively, formulating two branches. Through updating the translated image, we force similar outputs from the two branches. When such requirements are met, differences between the two images can compensate for and hence represent the knowledge difference between models. To enforce similar outputs from the two branches and depict the adapted knowledge, we propose a source-free image translation method that generates source-style images using only target images and the two models. We visualize the adapted knowledge on several datasets with different UDA methods and find that generated images successfully capture the style difference between the two domains. For application, we show that generated images enable further tuning of the target model without accessing source data. Code available at https://github.com/hou-yz/DA_visualization.
Additional file 1 of A novel kidney disease index reflecting both the albumin-to-creatinine ratio and estimated glomerular filtration rate, predicted cardiovascular and kidney outcomes in type 2 diabetes
Creators: name: Gerstein, Hertzel C.
name: Ramasundarahettige, Chinthanie
name: Avezum, Alvero
name: Basile, Jan
name: Conget, Ignacio
name: Cushman, William C.
name: Dagenais, Gilles R.
name: Franek, Edward
name: Lakshmanan, Mark
name: Lanas, Fernando
name: Leiter, Lawrence A.
name: Pogosova, Nana
name: Probstfield, Jeffrey
name: Raubenheimer, Peter J.
name: Riddle, Matthew
name: Shaw, Jonathan
name: Sheu, Wayne H.-H.
name: Temelkova-Kurktschiev, Theodora
name: Turfanda, Ibrahim
name: Xavier, Denis
Publisher: name: figshare
Year: 2022
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Marine Biology
Science Policy

description: Additional file 1: Table S1. Distribution of Baseline Characteristics Across Fifths of the Kidney Disease Index*. Table S2. Age-adjusted Hazard of Different Outcomes According to Sex. Table S3. C-statistics for the Age and Sex-Adjusted Models. Table S4. C-statistics for the Age and Sex-Adjusted Models Using ORIGIN Data. Figure S1. The prognosis of CKD by GFR and Albuminuria Categories (KDIGO 2012) is indicated by the risk categories in the cells of the figure.
High spatial resolution mid-infrared observations of the low-mass young star TW Hya
Creators: name: Ratzka, Th.
name: Leinert, Ch.
name: Henning, Th.
name: Bouwman, J.
name: Dullemond, C. P.
name: Jaffe, W.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We want to improve knowledge of the structure of the inner few AU of the circumstellar disk around the nearby T Tauri star TW Hya. Earlier studies have suggested the existence of a large inner hole, possibly caused by interactions with a growing protoplanet. We used interferometric observations in the N-band obtained with the MIDI instrument on the Very Large Telescope Interferometer, together with 10 micron spectra recorded by the infrared satellite Spitzer. The fact that we were able to determine N-band correlated fluxes and visibilities for this comparatively faint source shows that MIR interferometry can be applied to a large number of low-mass young stellar objects. The MIR spectra obtained with Spitzer reveal emission lines from HI (6-5), HI (7-6), and [Ne II] and show that over 90% of the dust we see in this wavelength regime is amorphous. According to the correlated flux measured with MIDI, most of the crystalline material is in the inner, unresolved part of the disk, about 1 AU in radius. The visibilities exclude the existence of a very large (3-4 AU radius) inner hole in the circumstellar disk of TW Hya, which was required in earlier models. We propose instead a geometry of the inner disk where an inner hole still exists, but at a much reduced radius, with the transition from zero to full disk height between 0.5 and 0.8 AU, and with an optically thin distribution of dust inside. Such a model can comply with SED and MIR visibilities, as well as with visibility and extended emission observed in the NIR at 2 micron. If a massive planet was the reason for this inner hole, as has been speculated, its orbit would have to be closer to the star than 0.3 AU. Alternatively, we may be witnessing the end of the accretion phase and an early phase of an inward-out dispersal of the circumstellar disk.
description: 13 pages, 9 figures, accepted by A&A
Groups with finitely many conjugacy classes and their automorphisms
Creators: name: Minasyan, Ashot
Publisher: name: arXiv
Year: 2007
Subjects: subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 20F65, 20E45, 20F28

description: We combine classical methods of combinatorial group theory with the theory of small cancellations over relatively hyperbolic groups to construct finitely generated torsion-free groups that have only finitely many classes of conjugate elements. Moreover, we present several results concerning embeddings into such groups. As another application of these techniques, we prove that every countable group $C$ can be realized as a group of outer automorphisms of a group $N$, where $N$ is a finitely generated group having Kazhdan's property (T) and containing exactly two conjugacy classes.
description: 30 pages, 2 figures. Version 2: corrected several misprints and added new Lemma 6.4
Locomotor responses of juvenile and adult sockeye salmon (Oncorhynchus nerka) to acute changes in temperature and salinity
Creators: name: Tolson, Graeme M.
Publisher: name: University of British Columbia
Year: 2010

description: The locomotor responses of juvenile and adult sockeye salmon (Oncorhynchus nerka) to concurrent changes in temperature and salinity were examined in a controlled laboratory setting. I hoped to better understand how these environmental factors influence the coastal movements of migrating salmon. Juvenile sockeye were captured during the downstream migration from Great Central Lake on Vancouver Island, British Columbia, Canada. The fish were acclimated for 1 wk at 10°C, 20 ppt, and then tested in annular activity tanks. Spontaneous locomotor movements were recorded during concomitant changes in temperature and salinity using infra-red photometry. Raising the water temperature by 4°C in 1 h caused a dramatic increase in locomotor activity. Decreasing temperature by 4°C or varying salinity by 10 ppt from the control levels did not influence routine swimming speed and there was no interaction between factors. Adult sockeye homing to the Fraser River, British Columbia, Canada were captured along the nearshore migration route in two oceanographically distinct regions. Three groups of fish were collected from the cold, saline waters of Queen Charlotte Strait, near the northern end of Vancouver Island. Two groups of sockeye were captured within 60 km of the Fraser River in the warmer, less saline waters of the Strait of Georgia. The adults were acclimated 2-5 days at 12°C, 30 ppt and locomotor activity was tested in annular activity tanks. Routine swimming speed and turning rate rose when the water temperature was raised by 4°C in 2 h, however, locomotor activity was not influenced by decreasing temperature. In addition, decreasing salinity by 10 ppt in 2 h had no effect on swimming activity of adult sockeye and there was no interaction between the two factors. Fish taken from the Strait of Georgia generally showed a less dramatic response to increasing temperature than adults captured in Queen Charlotte Strait. Results indicate that warm coastal temperatures may influence the nearshore migration of both juvenile and adult sockeye salmon.
Is Marginal Cost Pricing still the ideal electricity market design?
Creators: L. Tesfatsion
P. M. Sotkiewicz
Publisher: name: IEEE
Year: 2023

After years of low energy prices in the U.S., and generally low prices elsewhere across the world, 2021-2022 saw a steep increase in wholesale electricity prices, especially in Europe, but elsewhere including in the United States as well. This has led some in the industry and the media to challenge the idea that the price of electricity, set by the marginal cost to provide energy, should be paid to all resources that clear the market. Proponents of marginal cost pricing share the benefits it brings with innovation and competition. Others share the increased payments that may be paid by loads under this paradigm. Policies have suggested caps for inframarginal resources and others have suggested designs that stray from the existing structures. This panel session will include panelists sharing existing challenges facing markets across the world, insights on the benefits of marginal cost pricing, those that argue a new design is warranted, and some examples of how that design may look like and the pros and cons of those alternatives.
Presentations in this panel session:
- A potential new market structure: Swing Contracts (23PESGM4259)
- Yes, Virginia, We Still Need Locational Marginal Pricing in a World of ìZero Marginal Costî Renewable Generation (23PESGM4436)
After years of low energy prices in the U.S., and generally low prices elsewhere across the world, 2021-2022 saw a steep increase in wholesale electricity prices, especially in Europe, but elsewhere including in the United States as well. This has led some in the industry and the media to challenge the idea that the price of electricity, set by the marginal cost to provide energy, should be paid to all resources that clear the market. Proponents of marginal cost pricing share the benefits it brings with innovation and competition. Others share the increased payments that may be paid by loads under this paradigm. Policies have suggested caps for inframarginal resources and others have suggested designs that stray from the existing structures. This panel session will include panelists sharing existing challenges facing markets across the world, insights on the benefits of marginal cost pricing, those that argue a new design is warranted, and some examples of how that design may look like and the pros and cons of those alternatives.
Presentations in this panel session:
- A potential new market structure: Swing Contracts (23PESGM4259)
- Yes, Virginia, We Still Need Locational Marginal Pricing in a World of ìZero Marginal Costî Renewable Generation (23PESGM4436)
Delay-aware and Energy-Efficient Computation Offloading in Mobile Edge Computing Using Deep Reinforcement Learning
Creators: name: Ale, Laha
name: Zhang, Ning
name: Fang, Xiaojie
name: Chen, Xianfu
name: Wu, Shaohua
name: Li, Longzhuang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Internet of Things (IoT) is considered as the enabling platform for a variety of promising applications, such as smart transportation and smart city, where massive devices are interconnected for data collection and processing. These IoT applications pose a high demand on storage and computing capacity, while the IoT devices are usually resource-constrained. As a potential solution, mobile edge computing (MEC) deploys cloud resources in the proximity of IoT devices so that their requests can be better served locally. In this work, we investigate computation offloading in a dynamic MEC system with multiple edge servers, where computational tasks with various requirements are dynamically generated by IoT devices and offloaded to MEC servers in a time-varying operating environment (e.g., channel condition changes over time). The objective of this work is to maximize the completed tasks before their respective deadlines and minimize energy consumption. To this end, we propose an end-to-end Deep Reinforcement Learning (DRL) approach to select the best edge server for offloading and allocate the optimal computational resource such that the expected long-term utility is maximized. The simulation results are provided to demonstrate that the proposed approach outperforms the existing methods.
What Causes Faint Solar Coronal Jets from Emerging Flux Regions in Coronal Holes?
Creators: name: Harden, Abigail R.
name: Panesar, Navdeep K.
name: Moore, Ronald L.
name: Sterling, Alphonse C.
name: Adams, Mitzi L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Using EUV images and line-of-sight magnetograms from Solar Dynamics Observatory, we examine eight emerging bipolar magnetic regions (BMRs) in central-disk coronal holes for whether the emerging magnetic arch made any noticeable coronal jets directly, via reconnection with ambient open field as modeled by Yokoyama and Shibata (1995). During emergence, each BMR produced no obvious EUV coronal jet of normal brightness, but each produced one or more faint EUV coronal jets that are discernible in AIA 193 Å images. The spires of these jets are much fainter and usually narrower than for typical EUV jets that have been observed to be produced by minifilament eruptions in quiet regions and coronal holes. For each of 26 faint jets from the eight emerging BMRs, we examine whether the faint spire was evidently made a la Yokoyama and Shibata (1995). We find: (1) 16 of these faint spires evidently originate from sites of converging opposite-polarity magnetic flux and show base brightenings like those in minifilament-eruption-driven coronal jets, (2) the 10 other faint spires maybe were made by a burst of the external-magnetic-arcade-building reconnection of the emerging magnetic arch with the ambient open field, reconnection directly driven by the arch's emergence, but (3) none were unambiguously made by such emergence-driven reconnection. Thus, for these eight emerging BMRs the observations indicate that emergence-driven external reconnection of the emerging magnetic arch with ambient open field at most produces a jet spire that is much fainter than in previously-reported, much more obvious coronal jets driven by minifilament eruptions.
title: Финансово-экономический анализ
Creators: name: ELS IPR BOOKS
Publisher: name: Международный банковский институт имени Анатолия Собчака
Year: 2019

description: В учебном пособии рассматриваются современные методы и подходы, используемые при проведении финансово-экономического анализа предприятия. Различные направления анализа представлены в аспекте необходимости повышения финансовой устойчивости, платежеспособности и финансовых результатов предприятий. Учебное пособие предназначено для студентов бакалавриата, обучающихся по направлениям «Экономика», «Менеджмент», также может быть интересно для магистрантов и аспирантов.
On the Nature of Issues in Five Open Source Microservices Systems: An Empirical Study
Creators: name: Waseem, Muhammad
name: Liang, Peng
name: Shahin, Mojtaba
name: Ahmad, Aakash
name: Nasab, Ali Rezaei
Publisher: name: arXiv
Year: 2021
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Due to its enormous benefits, the research and industry communities have shown an increasing interest in the Microservices Architecture (MSA) style over the last few years. Despite this, there is a limited evidence-based and thorough understanding of the types of issues (e.g., faults, errors, failures, mistakes) faced by microservices system developers and causes that trigger the issues. Such evidence-based understanding of issues and causes is vital for long-term, impactful, and quality research and practice in the MSA style. To that end, we conducted an empirical study on 1,345 issue discussions extracted from five open source microservices systems hosted on GitHub. Our analysis led to the first of its kind taxonomy of the types of issues in open source microservices systems, informing that the problems originating from Technical debt (321, 23.86%), Build (145, 10.78%), Security (137, 10.18%), and Service execution and communication (119, 8.84%) are prominent. We identified that "General programming errors", "Poor security management", "Invalid configuration and communication", and "Legacy versions, compatibility and dependency" are the predominant causes for the leading four issue categories. Study results streamline a taxonomy of issues, their mapping with underlying causes, and present empirical findings that could facilitate research and development on emerging and next-generation microservices systems.
description: The 25th International Conference on Evaluation and Assessment in Software Engineering (EASE)
Energy density for chiral lattice fermions with chemical potential
Creators: name: Gattringer, Christof
name: Liptak, Ludovit
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study a recently proposed formulation of overlap fermions at finite density. In particular we compute the energy density as a function of the chemical potential and the temperature. It is shown that overlap fermions with chemical potential reproduce the correct continuum behavior.
description: Minor changes in the text. Version to appear in Phys. Rev. D
Spatio-Temporal Bayesian Learning for Mobile Edge Computing Resource Planning in Smart Cities
Creators: name: Ale, Laha
name: Zhang, Ning
name: King, Scott A.
name: Guardiola, Jose
Publisher: name: arXiv
Year: 2021
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: A smart city improves operational efficiency and comfort of living by harnessing techniques such as the Internet of Things (IoT) to collect and process data for decision making. To better support smart cities, data collected by IoT should be stored and processed appropriately. However, IoT devices are often task-specialized and resource-constrained, and thus, they heavily rely on online resources in terms of computing and storage to accomplish various tasks. Moreover, these cloud-based solutions often centralize the resources and are far away from the end IoTs and cannot respond to users in time due to network congestion when massive numbers of tasks offload through the core network. Therefore, by decentralizing resources spatially close to IoT devices, mobile edge computing (MEC) can reduce latency and improve service quality for a smart city, where service requests can be fulfilled in proximity. As the service demands exhibit spatial-temporal features, deploying MEC servers at optimal locations and allocating MEC resources play an essential role in efficiently meeting service requirements in a smart city. In this regard, it is essential to learn the distribution of resource demands in time and space. In this work, we first propose a spatio-temporal Bayesian hierarchical learning approach to learn and predict the distribution of MEC resource demand over space and time to facilitate MEC deployment and resource management. Second, the proposed model is trained and tested on real-world data, and the results demonstrate that the proposed method can achieve very high accuracy. Third, we demonstrate an application of the proposed method by simulating task offloading. Finally, the simulated results show that resources allocated based upon our models' predictions are exploited more efficiently than the resources are equally divided into all servers in unobserved areas.
Boundary driven zero-range processes in random media
Creators: name: Pulkkinen, Otto
Publisher: name: arXiv
Year: 2007
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The stationary states of boundary driven zero-range processes in random media with quenched disorder are examined, and the motion of a tagged particle is analyzed. For symmetric transition rates, also known as the random barrier model, the stationary state is found to be trivial in absence of boundary drive. Out of equilibrium, two further cases are distinguished according to the tail of the disorder distribution. For strong disorder, the fugacity profiles are found to be governed by the paths of normalized $α$-stable subordinators. The expectations of integrated functions of the tagged particle position are calculated for three types of routes.
description: 23 pages
Resurgence of the QCD Adler function
Creators: name: Maiezza, Alessio
name: Vasquez, Juan Carlos
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the QCD Adler function in the energy region $\approx 0.7-2.5$ GeV, in which the non-perturbative effects become dominant. Our analysis is a renormalon-based evaluation using transseries within the resurgence of the Renormalization-Group-Equation and does not require the Operator-Product-Expansion.
description: As accepted in Physics Letters B
Aspects of Electron-Phonon Self-Energy Revealed from Angle-Resolved Photoemission Spectroscopy
Creators: name: Lee, W. S.
name: Johnston, S.
name: Devereaux, T. P.
name: Shen, Z. -X.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Lattice contribution to the electronic self-energy in complex correlated oxides is a fascinating subject that has lately stimulated lively discussions. Expectations of electron-phonon self-energy effects for simpler materials, such as Pd and Al, have resulted in several misconceptions in strongly correlated oxides. Here we analyze a number of arguments claiming that phonons cannot be the origin of certain self-energy effects seen in high-$T_c$ cuprate superconductors via angle resolved photoemission experiments (ARPES), including the temperature dependence, doping dependence of the renormalization effects, the inter-band scattering in the bilayer systems, and impurity substitution. We show that in light of experimental evidences and detailed simulations, these arguments are not well founded.
description: 8 pages, 4 figures. Accepted by Phys. Rev. B
Additional file 1 of Remodeling Alzheimer-amyloidosis models by seeding
Creators: name: Ulm, Brittany S.
name: Borchelt, David R.
name: Moore, Brenda D.
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology

description: Additional file 1: Table S1. Summary of Aβ seeding studies.
Neutrino Constraints on the Dark Matter Total Annihilation Cross Section
Creators: name: Yuksel, Hasan
name: Horiuchi, Shunsaku
name: Beacom, John F.
name: Ando, Shin'ichiro
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: In the indirect detection of dark matter through its annihilation products, the signals depend on the square of the dark matter density, making precise knowledge of the distribution of dark matter in the Universe critical for robust predictions. Many studies have focused on regions where the dark matter density is greatest, e.g., the Galactic Center, as well as on the cosmic signal arising from all halos in the Universe. We focus on the signal arising from the whole Milky Way halo; this is less sensitive to uncertainties in the dark matter distribution, and especially for flatter profiles, this halo signal is larger than the cosmic signal. We illustrate this by considering a dark matter model in which the principal annihilation products are neutrinos. Since neutrinos are the least detectable Standard Model particles, a limit on their flux conservatively bounds the dark matter total self-annihilation cross section from above. By using the Milky Way halo signal, we show that previous constraints using the cosmic signal can be improved on by 1-2 orders of magnitude; dedicated experimental analyses should be able to improve both by an additional 1-2 orders of magnitude.
description: 8 pages, 4 figures; Matches version published in Phys. Rev. D
SelectVisAR: Selective Visualisation of Virtual Environments in Augmented Reality
Creators: name: Cools, Robbe
name: Han, Jihae
name: Simeone, Adalberto L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: When establishing a visual connection between a virtual reality user and an augmented reality user, it is important to consider whether the augmented reality user faces a surplus of information. Augmented reality, compared to virtual reality, involves two, not one, planes of information: the physical and the virtual. We propose SelectVisAR, a selective visualisation system of virtual environments in augmented reality. Our system enables an augmented reality spectator to perceive a co-located virtual reality user in the context of four distinct visualisation conditions: Interactive, Proximity, Everything, and Dollhouse. We explore an additional two conditions, Context and Spotlight, in a follow-up study. Our design uses a human-centric approach to information filtering, selectively visualising only parts of the virtual environment related to the interactive possibilities of a virtual reality user. The research investigates how selective visualisations can be helpful or trivial for the augmented reality user when observing a virtual reality user.
Developing AI/ML applications for power system protection & control ñ Opportunities and Challenges
Creators: A. Rajapakse
S. Brahma
M. Reno
S. Kamalasadan
Publisher: name: IEEE
Year: 2023

Power system protection and control plays a critical role in maintaining the dynamic security of the existing and future low-carbon power systems. The recent advancement of the Artificial Intelligence and Machine Learning (AI/ML) technology has created the opportunities to apply the technology to address some of the difficult power system protection and control problems. However, developing AI/ML technology to address practical power system protection and control problems has some unique challenges. At this panel, the panelists, who have been involved in R&D in this area, will share the work they have been undertaking and discuss the unique challenges the technology must overcome before it can be used in practical applications.
Presentations in this panel session:
- Application of Machine Learning Techniques for Predicting Post-Disturbance Stability Using Synchrophasor Measurements ( 23PESGM0773)
- Considerations for AI in Protection (23PESGM0774)
- Machine Learning for Fault Detection and Classification in AC and DC Systems (23PESGM0775)
- AI-Based Power System Wide-Area Control and Protection (23PESGM0776)
Power system protection and control plays a critical role in maintaining the dynamic security of the existing and future low-carbon power systems. The recent advancement of the Artificial Intelligence and Machine Learning (AI/ML) technology has created the opportunities to apply the technology to address some of the difficult power system protection and control problems. However, developing AI/ML technology to address practical power system protection and control problems has some unique challenges. At this panel, the panelists, who have been involved in R&D in this area, will share the work they have been undertaking and discuss the unique challenges the technology must overcome before it can be used in practical applications.
Presentations in this panel session:
- Application of Machine Learning Techniques for Predicting Post-Disturbance Stability Using Synchrophasor Measurements ( 23PESGM0773)
- Considerations for AI in Protection (23PESGM0774)
- Machine Learning for Fault Detection and Classification in AC and DC Systems (23PESGM0775)
- AI-Based Power System Wide-Area Control and Protection (23PESGM0776)
On the divisibility of characteristic classes of non-oriented surface bundles
Creators: name: Ebert, Johannes
name: Randal-Williams, Oscar
Publisher: name: arXiv
Year: 2007
Subjects: subject: Algebraic Topology (math.AT)
subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57R20

description: In this note we introduce a construction which assigns to an arbitrary manifold bundle its fiberwise orientation covering. This is used to show that the zeta classes of unoriented surface bundles are not divisible in the stable range.
description: 6 pages, to appear in Topology and its Applications. v2: changes in exposition
STATCOM and Enhanced STATCOM Technology
Creators: J. Warner
H. Tariq
R. Adapa
Publisher: name: IEEE
Year: 2023

The increased and varying technology applications of power-electronic based devices in power networks has led to many new challenges in a new frontier of electrical infrastructure. The widespread and necessary proliferation of inverter-based renewable generation, dynamic shunt compensation, series compensation and HVDC presents opportunities for the definition of terms, technologies, applications, studies and processes. This panel session will discuss some innovative ideas as well as some implementation experiences with regards to these technologies. Some major topics that are proposed to be discussed are: A. The history, background and evolution of the STATCOM B. The Hybrid STATCOM C. Grid-forming and Grid-following technologies and applications D. STATCOM Active Filtering Experience - Xcel Energy E. STATCOM Active Filtering Experience - AEP F. STATCOM Active Filtering Experience - EPRI G. STATCOM Active Filtering Experience - Dominion
Presentations in this panel session:
- 23PESGM3872-The history, background and evolution of the STATCOM
- 23PESGM3876-STATCOM Active Filtering Experience - AEP
- 23PESGM3877-STATCOM Active Filtering Experience - EPRI
The increased and varying technology applications of power-electronic based devices in power networks has led to many new challenges in a new frontier of electrical infrastructure. The widespread and necessary proliferation of inverter-based renewable generation, dynamic shunt compensation, series compensation and HVDC presents opportunities for the definition of terms, technologies, applications, studies and processes. This panel session will discuss some innovative ideas as well as some implementation experiences with regards to these technologies. Some major topics that are proposed to be discussed are: A. The history, background and evolution of the STATCOM B. The Hybrid STATCOM C. Grid-forming and Grid-following technologies and applications D. STATCOM Active Filtering Experience - Xcel Energy E. STATCOM Active Filtering Experience - AEP F. STATCOM Active Filtering Experience - EPRI G. STATCOM Active Filtering Experience - Dominion
Presentations in this panel session:
- 23PESGM3872-The history, background and evolution of the STATCOM
- 23PESGM3876-STATCOM Active Filtering Experience - AEP
- 23PESGM3877-STATCOM Active Filtering Experience - EPRI
In their own image : Nuwara Eliya, a British town in the heart of Ceylon
Creators: name: Wright, Judith Helen
Publisher: name: University of British Columbia
Year: 2010

description: The thesis is a study of Ceylon's only hill-station, Nuwara Eliya. Nuwara Eliya was established in 1829 as a military sanitarium and gradually assumed the role of a seasonal resort in the second half of the century. Located at 6,280 feet elevation in the temperate hill region, Nuwara Eliya came to have an important role in the social and recreational life of the British in Ceylon. The landscape resembled that of the English countryside, which inspired the British to shape the landscape in the image of their homeland. This thesis explores the sentimental attachment that British expatriates formed for Nuwara Eliya. Based on evidence from the nineteenth century writings of expatriates arid travellers who visited the hill-station, it suggests that the Romanticism prevalent during the period had a significant influence on the manner in which expatriates perceived and interpreted the landscape of Nuwara Eliya. Romanticism alone did not account for the emergence of Nuwara Eliya as an English village. It argues that romanticism, in conjunction with the following factors, contributed to the development of the English landscape of the Nuwara Eliya. The hill-station provided an accessible locale with a temperate climate and vegetation that offered an alternative to the heat of the lowlands. The British possessed a set of ethno-medical beliefs which held that such an environment was the one to which Europeans were best suited. In addition, the recreational preferences of the British and the specific recreational and social needs of the expatriate community contributed to the development of the recreational infrastructure of Nuwara Eliya. The development of the plantation economy was a further prerequisite for the growth of the hill-station. Perhaps the most important consideration, though, was the longing British expatriates experienced for their homeland which made them desire a viable substitute for England. The study was conducted through a survey of nineteenth century travel writings of individuals who visited or resided at Nuwara Eliya. A content analysis was performed on the travel literature to determine the attributes of Nuwara Eliya that were noted in the writings and which indicated the expatriate's and traveller's perceptions of the hill-station. Subsequent to the literature analysis, fieldwork was undertaken in Sri Lanka for a three month period in 1987. Archival research, conducted at the National Archives, Colombo, involved an examination of the diaries of the Assistant Government Agent of the Nuwara Eliya District, as well as nineteenth century English-language newspapers to assess the role of the hill-station in the social life of colonial. Ceylon. Fieldwork also entailed a period of time at Nuwara Eliya to compile photographic evidence and to permit observation of the landscape and the built environment.
Sparsely-spread CDMA - a statistical mechanics based analysis
Creators: name: Raymond, Jack
name: Saad, David
Publisher: name: arXiv
Year: 2007
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Sparse Code Division Multiple Access (CDMA), a variation on the standard CDMA method in which the spreading (signature) matrix contains only a relatively small number of non-zero elements, is presented and analysed using methods of statistical physics. The analysis provides results on the performance of maximum likelihood decoding for sparse spreading codes in the large system limit. We present results for both cases of regular and irregular spreading matrices for the binary additive white Gaussian noise channel (BIAWGN) with a comparison to the canonical (dense) random spreading code.
description: 23 pages, 5 figures, figure 1 amended since published version
Effect of Zr and Al Addition on Nanocluster Formation in Oxide Dispersion Strenghthened Steel-an ab initio Study
Creators: name: Mohan, Sruthi
name: Kaur, Gurpreet
name: Panigrahi, B. K.
name: David, C.
name: Amarendra, G.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Conventional Oxide dispersion strengthened steels are characterized by thermally stable, high density of Y-Ti-O nanoclusters, which are responsible for their high creep strength. Ti plays a major role in obtaining a high density of ultrafine particles of optimum size range of 2-10 nm. In Al-containing ODS steels developed for corrosion resistance, Y-Al-O clusters formed are of size range 20 -100 nm, and Ti fails in making dispersions finer in the presence of Al. Usage of similar alloying elements like Zr in place of Ti is widely considered. In this study, binding energies of different stages of Y-Zr-O-Vacancy and Y-Al-O-Vacancy complexes in the bcc Iron matrix are studied by first-principle calculations. It is shown that in all the stages of formation, Y-Zr-O-Vacancy clusters have higher binding energy than Y-Al-O-Vacancy clusters and hence in ferritic steel containing both Zr and Al, Y-Zr-O-Vacancy clusters are more stable and more favored to nucleate than Y-Al-O-Vacancy clusters. The bonding nature in each stage is analyzed using charge density difference plots for the plausible reason for higher stability of Y-Zr-O-Vacancy clusters.
Augmenting power system protection & control  ñ Industry perspectives and case studies of practical AI/ML applications
Creators: Y. Hu
A. Bidram
Publisher: name: IEEE
Year: 2023

This panel will provide diverse perspectives into the potential of machine learning to be applied to existing power system protection and control methods. Each panelist will provide insight into how machine learning could enhance, or enable in some cases, protection, and control methods to drive system reliability, security, safety, sensitivity, and resiliency. The panelists will share case studies, best practices, and considerations that must be taken before embarking on a journey to augment existing protection and control schemes with machine learning.
Presentations in this panel session:
- Does it work? ñ Testing challenges of practical AI/ML applications for power system protection and control (23PESGM0746)
- Utilizing Machine Learning for a More Reliable Protection of Distribution Systems (23PESGM4183)
This panel will provide diverse perspectives into the potential of machine learning to be applied to existing power system protection and control methods. Each panelist will provide insight into how machine learning could enhance, or enable in some cases, protection, and control methods to drive system reliability, security, safety, sensitivity, and resiliency. The panelists will share case studies, best practices, and considerations that must be taken before embarking on a journey to augment existing protection and control schemes with machine learning.
Presentations in this panel session:
- Does it work? ñ Testing challenges of practical AI/ML applications for power system protection and control (23PESGM0746)
- Utilizing Machine Learning for a More Reliable Protection of Distribution Systems (23PESGM4183)
Finsler Spinoptics
Creators: name: Duval, Christian
Publisher: name: arXiv
Year: 2007
Subjects: subject: Mathematical Physics (math-ph)
subject: High Energy Physics - Theory (hep-th)
subject: Differential Geometry (math.DG)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: The objective of this article is to build up a general theory of geometrical optics for spinning light rays in an inhomogeneous and anisotropic medium modeled on a Finsler manifold. The prerequisites of local Finsler geometry are reviewed together with the main properties of the Cartan connection used in this work. Then, the principles of Finslerian spinoptics are formulated on the grounds of previous work on Riemannian spinoptics, and relying on the generic coadjoint orbits of the Euclidean group. A new presymplectic structure on the indicatrix-bundle is introduced, which gives rise to a foliation that significantly departs from that generated by the geodesic spray, and leads to a specific anomalous velocity, due to the coupling of spin and the Cartan curvature, and related to the optical Hall effect.
description: LaTeX, 40 pages. Introductory Sections 1 and 2 substantially shortened, conceptual rectification in Section 3, and one Reference added. To appear in Communications in Mathematical Physics
Harnessing Behind-The-Meter DERs for Flexible Grid Services
Creators: G. Valverde
A. Khurram
J. Braslavsky
B. Liu
Publisher: name: IEEE
Year: 2023

The grid services are traditionally provided by centralized power plants to maintain and improve the power flow and quality of electricity on the grid. With the integration of more and more front the meter and behind the meter distributed energy resources (DERs), such as solar PV, battery energy storage and EVs, it becomes essential to harness these DERs for grid services without costly infrastructure upgrading. This panel will discuss the most recent progress on harnessing DERs for various grid services, such as voltage and frequency regulation, energy efficiency, emergency control and resiliency.
Presentations in this panel session:
- Coordinating BTM DERs for Power System Emergency Control (23PESGM3907)
- Role of Testbeds in Advancing DER Control and Optimization (23PESGM3910)
- DER integration in distribution networks: Australiaís ride to 100% renewable electricity (23PESGM4219)
The grid services are traditionally provided by centralized power plants to maintain and improve the power flow and quality of electricity on the grid. With the integration of more and more front the meter and behind the meter distributed energy resources (DERs), such as solar PV, battery energy storage and EVs, it becomes essential to harness these DERs for grid services without costly infrastructure upgrading. This panel will discuss the most recent progress on harnessing DERs for various grid services, such as voltage and frequency regulation, energy efficiency, emergency control and resiliency.
Presentations in this panel session:
- Coordinating BTM DERs for Power System Emergency Control (23PESGM3907)
- Role of Testbeds in Advancing DER Control and Optimization (23PESGM3910)
- DER integration in distribution networks: Australiaís ride to 100% renewable electricity (23PESGM4219)
Dynamic Control Allocation between Onboard and Delayed Remote Control for Unmanned Aircraft System Detect-and-Avoid
Creators: name: Tabassum, Asma
name: Bai, He
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: This paper develops and evaluates the performance of an allocation agent to be potentially integrated into the onboard Detect and Avoid (DAA) computer of an Unmanned Aircraft System (UAS). We consider a UAS that can be fully controlled by the onboard DAA system and by a remote human pilot. With a communication channel prone to latency, we consider a mixed initiative interaction environment, where the control authority of the UAS is dynamically allocated by the allocation agent. In an encounter with a dynamic intruder, the probability of collision may increase in the absence of pilot commands in the presence of latency. Moreover, a delayed pilot command may not result in safe resolution of the current scenario and need to be improvised. We design an optimization algorithm to reduce collision risk and refine delayed pilot commands. Towards this end, a Markov Decision Process (MDP)and its solution are employed to create a wait time map. The map consists of estimated times that the UAS can wait for the remote pilot commands at each state. A command blending algorithm is designed to select an avoidance maneuver that prioritizes the pilot intention extracted from the pilot commands. The wait time map and the command blending algorithm are implemented and integrated into a closed-loop simulator. We conduct ten thousands fast-time Monte Carlo simulations and compare the performance of the integrated setup with a standalone DAA setup. The simulation results show that the allocation agent enables the UAS to wait without inducing any near mid air collision (NMAC) and severe loss of well clear (LoWC) while positively improve pilot involvement in the encounter resolution.