cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Outstanding Doctoral Dissertations in Power and Energy Systems
Creators: Y. Yuan
X. Chen
J. Avramidis
Publisher: name: IEEE
Year: 2023

This panel is intended to recognize the best emerging academic work that falls under the scope and enhances the mission of the Power and Energy Society (https://www.ieee-pes.org/about-pes). Nominations will be solicited from recent Ph.D. (or equivalent) graduates that defended their dissertation within the last three calendar years at the time of the nomination deadline. An evaluation committed formed from PEEC members (led by the PEEC Awards Subcommittee Chair) will evaluate the outstanding contributions made by the candidate to the PES. Four qualified candidates will be selected to present their work (25 minutes each). The intended audience for the panel is undergraduate and graduate students, and other early career academic professionals.
Presentations in this panel session:
- Data analytics and artificial intelligence for enhancing power distribution system monitoring (23PESGM4050)
- Distributed Data-Driven Decision-Making for Smart Sustainable Power Systems (23PESGM4052)
- Unearthing flexibility from smart sustainable buildings: An analysis of integration viewpoints (23PESGM4054)
This panel is intended to recognize the best emerging academic work that falls under the scope and enhances the mission of the Power and Energy Society (https://www.ieee-pes.org/about-pes). Nominations will be solicited from recent Ph.D. (or equivalent) graduates that defended their dissertation within the last three calendar years at the time of the nomination deadline. An evaluation committed formed from PEEC members (led by the PEEC Awards Subcommittee Chair) will evaluate the outstanding contributions made by the candidate to the PES. Four qualified candidates will be selected to present their work (25 minutes each). The intended audience for the panel is undergraduate and graduate students, and other early career academic professionals.
Presentations in this panel session:
- Data analytics and artificial intelligence for enhancing power distribution system monitoring (23PESGM4050)
- Distributed Data-Driven Decision-Making for Smart Sustainable Power Systems (23PESGM4052)
- Unearthing flexibility from smart sustainable buildings: An analysis of integration viewpoints (23PESGM4054)
Microgrids as Hands-On Experiential Learning Mediums for Power Engineers of the 21st Century
Creators: A. St. Leger
Y. Kenarangui
Publisher: name: IEEE
Year: 2023

Microgrids are power systems with local power generation. The main feature of a microgrid is its ability to operate in parallel to the local grid (grid-connected mode) or without the grid (island-mode) when the grid is unavailable. Proper microgrid design and operation encapsulates multiple electrical and computer engineering disciplines such as power systems, communications, programming, and control. The power engineer of the future needs to be competent and knowledgeable in those disciplines to meet the challenges and needs of the 21st century. Using the lessons learned from commissioning real-world and laboratory-based microgrids, the workshop covers case studies on how microgrids can enhance the power engineering educational experience of students.
Presentations in this panel session:
- Laboratories for Military Microgrid Education (23PESGM2831)
- Microgrid Protection System Design Challenges ñ A Practical Experience (23PESGM2832)
Microgrids are power systems with local power generation. The main feature of a microgrid is its ability to operate in parallel to the local grid (grid-connected mode) or without the grid (island-mode) when the grid is unavailable. Proper microgrid design and operation encapsulates multiple electrical and computer engineering disciplines such as power systems, communications, programming, and control. The power engineer of the future needs to be competent and knowledgeable in those disciplines to meet the challenges and needs of the 21st century. Using the lessons learned from commissioning real-world and laboratory-based microgrids, the workshop covers case studies on how microgrids can enhance the power engineering educational experience of students.
Presentations in this panel session:
- Laboratories for Military Microgrid Education (23PESGM2831)
- Microgrid Protection System Design Challenges ñ A Practical Experience (23PESGM2832)
Manipulating the magnetic structure by electric fields in multiferroic ErMn2O5
Creators: name: Bodenthin, Y.
name: Staub, U.
name: Garcia-Fernandez, M.
name: Janoschek, M.
name: Schlappa, J.
name: Golovenchits, E. I.
name: Sanina, V. A.
name: Lushnikov, S. G.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Based on measurements of soft x-ray magnetic diffraction under in-situ applied electric field, wereport on significantly manipulation and exciting of commensurate magnetic order in multiferroic ErMn2O5. The induced magnetic scattering intensity arises at the commensurate magnetic Bragg position whereas the initial magnetic signal almost persists. We demonstrate the possibility to imprint a magnetic response function in ErMn2O5 by applying electric field.
OASIS: An Active Framework for Set Inversion
Creators: name: Nguyen, Binh T.
name: Nguyen, Duy M.
name: Ho, Lam Si Tung
name: Dinh, Vu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this work, we introduce a novel method for solving the set inversion problem by formulating it as a binary classification problem. Aiming to develop a fast algorithm that can work effectively with high-dimensional and computationally expensive nonlinear models, we focus on active learning, a family of new and powerful techniques which can achieve the same level of accuracy with fewer data points compared to traditional learning methods. Specifically, we propose OASIS, an active learning framework using Support Vector Machine algorithms for solving the problem of set inversion. Our method works well in high dimensions and its computational cost is relatively robust to the increase of dimension. We illustrate the performance of OASIS by several simulation studies and show that our algorithm outperforms VISIA, the state-of-the-art method.
description: 13 pages, 8 figures
Role of Minority Serving Institutions (MSIs) on Power and Energy Research and Education
Creators: V. Gonzalez
Publisher: name: IEEE
Year: 2023

This panel aims to bring together the decades of experience and success stories of several Minority Serving Institutions (MSIs) and National Labs working together under DOE-Minority Serving Institution Partnership Programs (MSIPPs) (i) to improvise power engineering education both at undergraduate and graduate levels including new curriculum development activities at MSIs, (ii) to train the next generation of the U.S. workforce in power and cyber physical systems from the underrepresented communities, and (iii) to address the challenges faced by the investigators at MSIs and the National Labs in recruiting and retaining students from the underrepresented communities, as well as to discuss Diversity, Equity, and Inclusion (DEI) plan that could benefit from the activities that directly target underrepresented students.
Presentations in this panel session:
- Research and Education Partnerships for Supporting ECE Students Success at UTEP (23PESGM3955)
This panel aims to bring together the decades of experience and success stories of several Minority Serving Institutions (MSIs) and National Labs working together under DOE-Minority Serving Institution Partnership Programs (MSIPPs) (i) to improvise power engineering education both at undergraduate and graduate levels including new curriculum development activities at MSIs, (ii) to train the next generation of the U.S. workforce in power and cyber physical systems from the underrepresented communities, and (iii) to address the challenges faced by the investigators at MSIs and the National Labs in recruiting and retaining students from the underrepresented communities, as well as to discuss Diversity, Equity, and Inclusion (DEI) plan that could benefit from the activities that directly target underrepresented students.
Presentations in this panel session:
- Research and Education Partnerships for Supporting ECE Students Success at UTEP (23PESGM3955)
Past, Present, and Future with Synchrophasor Technology
Creators: K. Martin
D. Schoenwald
M. Venkatasubramanian
S. Maslennikov
Q. Zhang
X. Luo
E. Farantatos
A. Schmitt
Publisher: name: IEEE
Year: 2023

PMUs were first used for the analysis and model validation of the summer 1996 western American electric blackouts which established the potential and the need for wide area synchronized measurements. In the twenty-five years since then, PMUs have become increasingly prevalent in power grids around the world. At the same time, we are also seeing the limitations of PMUs or synchrophasors in analyzing the complex switching phenomena in modern inverter-based resources. This panel will highlight some of the past success stories, the challenges in managing the growing number of PMUs in the present systems, and how PMUs will need to adapt to handle the challenges of the future.
Presentations in this panel session:
- Synchrophasor Exploration Adventures in WECC (23PESGM3850)
-The Use of Synchrophasors in Real-Time Grid Controls: Success Stories and Future Challenges (23PESGM3853)
- Online Model Estimation and Adaptive Control Design (23PESGM3855)
- Operational use of PMU at ISO-NE; current practices and future needs (23PESGM3857)
- From WAMS for Synchronous Generator Dominated Grids to WAMPAC for IBR Dominated Grids (23PESGM3859)
- BPA Synchrophasor Applications - Past Experience and Future Plans (23PESGM3978)
PMUs were first used for the analysis and model validation of the summer 1996 western American electric blackouts which established the potential and the need for wide area synchronized measurements. In the twenty-five years since then, PMUs have become increasingly prevalent in power grids around the world. At the same time, we are also seeing the limitations of PMUs or synchrophasors in analyzing the complex switching phenomena in modern inverter-based resources. This panel will highlight some of the past success stories, the challenges in managing the growing number of PMUs in the present systems, and how PMUs will need to adapt to handle the challenges of the future.
Presentations in this panel session:
- Synchrophasor Exploration Adventures in WECC (23PESGM3850)
-The Use of Synchrophasors in Real-Time Grid Controls: Success Stories and Future Challenges (23PESGM3853)
- Online Model Estimation and Adaptive Control Design (23PESGM3855)
- Operational use of PMU at ISO-NE; current practices and future needs (23PESGM3857)
- From WAMS for Synchronous Generator Dominated Grids to WAMPAC for IBR Dominated Grids (23PESGM3859)
- BPA Synchrophasor Applications - Past Experience and Future Plans (23PESGM3978)
Linear perturbations of matched spacetimes: the gauge problem and background symmetries
Creators: name: Mars, Marc
name: Mena, Filipe C.
name: Vera, Raul
Publisher: name: arXiv
Year: 2007
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We present a critical review about the study of linear perturbations of matched spacetimes including gauge problems. We analyse the freedom introduced in the perturbed matching by the presence of background symmetries and revisit the particular case of spherically symmetry in n-dimensions. This analysis includes settings with boundary layers such as brane world models and shell cosmologies.
description: 18 pages, plain LaTeX file
Mitigating Gas Uncertainty in Power Grid Operation
Creators: H. Chen
R. Philbrick
S. Rossi
M. Lauby
Publisher: name: IEEE
Year: 2023

Natural gas generation is still the dominant fuel type in many power systems, coupled with residential natural gas usage. The uncertainty of natural gas availability poses a challenge in grid operation today. If not properly mitigated, the risk could cause wide spread outages or load shedding, such as the one during 2021 winter storm Uri and 2022 winter storm Elliot. This panel will invite panelists to share status quo and challenges, and also panelists from research institute to share the latest advances.
Presentations in this panel session:
- Managing Risks from Gas-Electric Interdependency (23PESGM4410)
- PJM Experiences on Gas Uncertainties (23PESGM4231)
- Energy Crisis in Europe: Policy and Regulatory Measures (23PESGM4277)
- A Fundamental View of Hydrogen-Gas Systems (23PESGM4233)
Natural gas generation is still the dominant fuel type in many power systems, coupled with residential natural gas usage. The uncertainty of natural gas availability poses a challenge in grid operation today. If not properly mitigated, the risk could cause wide spread outages or load shedding, such as the one during 2021 winter storm Uri and 2022 winter storm Elliot. This panel will invite panelists to share status quo and challenges, and also panelists from research institute to share the latest advances.
Presentations in this panel session:
- Managing Risks from Gas-Electric Interdependency (23PESGM4410)
- PJM Experiences on Gas Uncertainties (23PESGM4231)
- Energy Crisis in Europe: Policy and Regulatory Measures (23PESGM4277)
- A Fundamental View of Hydrogen-Gas Systems (23PESGM4233)
Modeling of Inverter-Based Resources for Large System Stability Studies
Creators: D. Ramasubramanian
J. Daniel Lara
R. Henriquez
C. Vournas
J. J. Sanchez-Gasca
F. Milano
I. Giovanni De Carne
Publisher: name: IEEE
Year: 2023

Inverter control systems are highly proprietary in nature and typically are protected by vendors. As a result, carrying out transmission system planning studies can be cumbersome wherein the exact type of inverter control is unknown. Generic models can help play a role in this space, among other use cases. This tutorial will provide an overview of the state of the art of generic modeling of IBRs for grid studies both in strong and weak grids. Additionally, the tutorial will also cover the state of art in aggregate modeling of distributed energy resources (DERs) and load, whose representation is crucial for informed power system planning.
Inverter control systems are highly proprietary in nature and typically are protected by vendors. As a result, carrying out transmission system planning studies can be cumbersome wherein the exact type of inverter control is unknown. Generic models can help play a role in this space, among other use cases. This tutorial will provide an overview of the state of the art of generic modeling of IBRs for grid studies both in strong and weak grids. Additionally, the tutorial will also cover the state of art in aggregate modeling of distributed energy resources (DERs) and load, whose representation is crucial for informed power system planning.
Integrating Relay Models with RMS Dynamic Simulations ñ Stability Perspective
Creators: R. Ramos
A. Pavani
Publisher: name: IEEE
Year: 2023

Discrepancies between simulations and records of major real events have been reported in various power systems. One of the reasons is the simplified representation or even no representation of the protecting relay functions in the planning tools. Therefore, the need of enhancing the models of protective relays in simulation tools is a worth continuing effort. This panel builds upon a related panel presented at GM'21, where the focus was on the integration of relay models with either positive-sequence and three-phase RMS tools. This panel will give the stability perspective in integrating relays in dynamic simulation tools. It is worth mentioning that a companion panel focusing on the protection perspective of this integration will also be presented in this GM
Presentations in this panel session:
- Practical cases to highlight the importance of relay modeling in RMS dynamic simulation (23PESGM1518)
Discrepancies between simulations and records of major real events have been reported in various power systems. One of the reasons is the simplified representation or even no representation of the protecting relay functions in the planning tools. Therefore, the need of enhancing the models of protective relays in simulation tools is a worth continuing effort. This panel builds upon a related panel presented at GM'21, where the focus was on the integration of relay models with either positive-sequence and three-phase RMS tools. This panel will give the stability perspective in integrating relays in dynamic simulation tools. It is worth mentioning that a companion panel focusing on the protection perspective of this integration will also be presented in this GM
Presentations in this panel session:
- Practical cases to highlight the importance of relay modeling in RMS dynamic simulation (23PESGM1518)
Aristotle Said "Happiness is a State of Activity" -- Predicting Mood through Body Sensing with Smartwatches
Creators: name: Gloor, P. A.
name: Colladon, A. Fronzetti
name: Grippa, F.
name: Budner, P.
name: Eirich, J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.2.0; H.4.0

description: We measure and predict states of Activation and Happiness using a body sensing application connected to smartwatches. Through the sensors of commercially available smartwatches we collect individual mood states and correlate them with body sensing data such as acceleration, heart rate, light level data, and location, through the GPS sensor built into the smartphone connected to the smartwatch. We polled users on the smartwatch for seven weeks four times per day asking for their mood state. We found that both Happiness and Activation are negatively correlated with heart beats and with the levels of light. People tend to be happier when they are moving more intensely and are feeling less activated during weekends. We also found that people with a lower Conscientiousness and Neuroticism and higher Agreeableness tend to be happy more frequently. In addition, more Activation can be predicted by lower Openness to experience and higher Agreeableness and Conscientiousness. Lastly, we find that tracking people's geographical coordinates might play an important role in predicting Happiness and Activation. The methodology we propose is a first step towards building an automated mood tracking system, to be used for better teamwork and in combination with social network analysis studies.
Hybrid Hydropower Systems for Providing Grid Flexibility Services
Creators: N. Voisin
T. Brekken
Publisher: name: IEEE
Year: 2023

Hydropower power plants have traditionally provided reliable flexibility services to the grid. However, this flexibility has been impacted by drought and other constraints on water resources. Hybrid hydropower systems include hydropower plants that are combined with other flexibility resources, specifically energy storage systems, which enhance the flexibility of combined system to provide services to the grid while respecting the environmental and water resource limitations of hydropower systems. This panel session brings together experts from academic, national labs, industry and regulatory agencies to discuss opportunities and challenges of developing hybrid hydropower systems.
Presentations in this panel session:
- Advances in Representing and Benchmarking Hydropower Operations in Bulk Power System Studies (23PESGM4155)
- Energy Storage Integration into Hydroelectric Turbine Operation (23PESGM4158)
Hydropower power plants have traditionally provided reliable flexibility services to the grid. However, this flexibility has been impacted by drought and other constraints on water resources. Hybrid hydropower systems include hydropower plants that are combined with other flexibility resources, specifically energy storage systems, which enhance the flexibility of combined system to provide services to the grid while respecting the environmental and water resource limitations of hydropower systems. This panel session brings together experts from academic, national labs, industry and regulatory agencies to discuss opportunities and challenges of developing hybrid hydropower systems.
Presentations in this panel session:
- Advances in Representing and Benchmarking Hydropower Operations in Bulk Power System Studies (23PESGM4155)
- Energy Storage Integration into Hydroelectric Turbine Operation (23PESGM4158)
Snowdrift game induces pattern formation in systems of self-propelled particles
Creators: name: Mayer, Johanna
name: Obermueller, Michael
name: Denk, Jonas
name: Frey, Erwin
Publisher: name: arXiv
Year: 2021
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Evolutionary games between species are known to lead to intriguing spatio-temporal patterns in systems of diffusing agent. However, the role of inter-species interactions is hardly studied when agents are (self-)propelled, as is the case in many biological systems. Here, we combine aspects from active-matter and evolutionary game theory and study a system of two species whose individuals are (self-)propelled and interact through a snowdrift game. We derive hydrodynamic equations for the density and velocity fields of both species from which we identify parameter regimes in which one or both species form macroscopic orientational order as well as regimes of propagating wave patterns. Interestingly, we find simultaneous wave patterns in both species that result from the interplay between alignment and snowdrift interactions - a feedback mechanism that we call game-induced pattern formation. We test these results in agent-based simulations and confirm the different regimes of order and spatio-temporal patterns as well as game-induced pattern formation.
description: 28 pages, 15 figures
Shaping the Globular Cluster Mass Function by Stellar-Dynamical Evaporation
Creators: name: McLaughlin, Dean E.
name: Fall, S. Michael
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We show that the globular cluster mass function (GCMF) in the Milky Way depends on cluster half-mass density (rho_h) in the sense that the turnover mass M_TO increases with rho_h while the width of the GCMF decreases. We argue that this is the expected signature of the slow erosion of a mass function that initially rose towards low masses, predominantly through cluster evaporation driven by internal two-body relaxation. We find excellent agreement between the observed GCMF -- including its dependence on internal density rho_h, central concentration c, and Galactocentric distance r_gc -- and a simple model in which the relaxation-driven mass-loss rates of clusters are approximated by -dM/dt = mu_ev ~ rho_h^{1/2}. In particular, we recover the well-known insensitivity of M_TO to r_gc. This feature does not derive from a literal ``universality'' of the GCMF turnover mass, but rather from a significant variation of M_TO with rho_h -- the expected outcome of relaxation-driven cluster disruption -- plus significant scatter in rho_h as a function of r_gc. Our conclusions are the same if the evaporation rates are assumed to depend instead on the mean volume or surface densities of clusters inside their tidal radii, as mu_ev ~ rho_t^{1/2} or mu_ev ~ Sigma_t^{3/4} -- alternative prescriptions that are physically motivated but involve cluster properties (rho_t and Sigma_t) that are not as well defined or as readily observable as rho_h. In all cases, the normalization of mu_ev required to fit the GCMF implies cluster lifetimes that are within the range of standard values (although falling towards the low end of this range). Our analysis does not depend on any assumptions or information about velocity anisotropy in the globular cluster system.
description: Final version, matching the published paper
POS522 Cruise report
Creators: name: Freundt, Armin
Publisher: name: GEOMAR
Year: 2019

description: R.V. Poseidon cruise no. 522  Dates, Ports: 10.04.2018 (Catania, Italy) - 29.04.2018 (Malaga, Spain)  Research subject: Tephrostratigraphy of tsunami-related deposits at Stromboli  Chief Scientist: Dr. Armin Freundt, GEOMAR, Kiel Number of Scientists: 11  Project: Stromboli tsunamis
Quantum Computing for Power Systems Operations: A Pragmatic View
Creators: Y. Li
P. Zhang
Publisher: name: IEEE
Year: 2023

Panelists from industry, academia, and research labs discuss about the challenges and opportunities of quantum computing solutions towards power systems operations. Quantum computers exhibit an innate ability to handle exponentially large computations in a parallel fashion. Methods designed to run on quantum computers can attain polynomial or even exponential speedups over the best-known counterparts on classical computers. At the same time, some of these methods presume a large number of qubits and gates, fault-tolerant quantum computers, and seamless data coordination between classical and quantum computers. Moreover, the outputs of quantum computing come with a strong probabilistic flavor. This panel aspires to demystify some of these issues and present how quantum solutions in the so-termed near-term intermediate scale (NISQ) era can advance computations in power systems operations, such as mixed-integer and continuous optimization problems, sampling scenarios, and solving linear (differential) equations for dynamics.
Presentations in this panel session:
- Modeling and Control of Renewable Energy Systems when Meeting with Quantum Computing (23PESGM4212)
- Distributed Quantum Unit Commitment (23PESGM4216)
Panelists from industry, academia, and research labs discuss about the challenges and opportunities of quantum computing solutions towards power systems operations. Quantum computers exhibit an innate ability to handle exponentially large computations in a parallel fashion. Methods designed to run on quantum computers can attain polynomial or even exponential speedups over the best-known counterparts on classical computers. At the same time, some of these methods presume a large number of qubits and gates, fault-tolerant quantum computers, and seamless data coordination between classical and quantum computers. Moreover, the outputs of quantum computing come with a strong probabilistic flavor. This panel aspires to demystify some of these issues and present how quantum solutions in the so-termed near-term intermediate scale (NISQ) era can advance computations in power systems operations, such as mixed-integer and continuous optimization problems, sampling scenarios, and solving linear (differential) equations for dynamics.
Presentations in this panel session:
- Modeling and Control of Renewable Energy Systems when Meeting with Quantum Computing (23PESGM4212)
- Distributed Quantum Unit Commitment (23PESGM4216)
Nizomulmulk siyosatnoma asari va Amir Temur tuzuklari
Creators: name: Mahammatov Asliddin Mamadoli og'li, Toshkent axborot texnologiyalari universiteti  Samarqand filiali talabasi
name: Ilmiy rahbar: X.U.Samatov
Publisher: name: Zenodo
Year: 2023

description: Amir Temurning "Temir tuziklari" asarida biz uning harbiy yurishlari va harbiy strategik taktikalarini o'rganishingiz mumkin. Bu yurishlar va taktikalar, hozirgi yoshlarimizni vatanparvarlik ruhida tarbiyalashga juda ham qo'shidir. Siyosatnoma bu asar ham unga yaqin turlaridan biridir. Ushbu asar orqali ham biz, harbiy faoliyat va stratigrafikalar ustida mustahkamlashgan hissasi bilan yorqinroq tarbiyalangan bo'lmishmiz
Squeezed-field injection for gravitational wave interferometers
Creators: name: Vahlbruch, Henning
name: Chelkowski, Simon
name: Hage, Boris
name: Franzen, Alexander
name: Danzmann, Karsten
name: Schnabel, Roman
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In a recent table-top experiment we demonstrated the compatibility of three advanced interferometer techniques for gravitational wave detection, namely power-recycling, detuned signal-recycling and squeezed field injection. The interferometer's signal to noise ratio was improved by up to 2.8 dB beyond the coherent state's shot-noise. This value was mainly limited by optical losses on the squeezed field. We present a detailed analysis of the optical losses of in our experiment and provide an estimation of the possible nonclassical performance of a future squeezed field enhanced GEO600 detector.
description: 5 pages, 3 figures
Matter-Wave Bright Solitons with a Finite Background in Spinor Bose-Einstein Condensates
Creators: name: Kurosaki, Tetsuo
name: Wadati, Miki
Publisher: name: arXiv
Year: 2007
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We investigate dynamical properties of bright solitons with a finite background in the F=1 spinor Bose-Einstein condensate (BEC), based on an integrable spinor model which is equivalent to the matrix nonlinear Schrödinger equation with a self-focusing nonlineality. We apply the inverse scattering method formulated for nonvanishing boundary conditions. The resulting soliton solutions can be regarded as a generalization of those under vanishing boundary conditions. One-soliton solutions are derived in an explicit manner. According to the behaviors at the infinity, they are classified into two kinds, domain-wall (DW) type and phase-shift (PS) type. The DW-type implies the ferromagnetic state with nonzero total spin and the PS-type implies the polar state, where the total spin amounts to zero. We also discuss two-soliton collisions. In particular, the spin-mixing phenomenon is confirmed in a collision involving the DW-type. The results are consistent with those of the previous studies for bright solitons under vanishing boundary conditions and dark solitons. As a result, we establish the robustness and the usefulness of the multiple matter-wave solitons in the spinor BECs.
description: 18 pages, 4 figures, LaTeX
Television content analysis : agreement between expert and naive coders
Creators: name: Wotherspoon, David Kenneth
Publisher: name: University of British Columbia
Year: 2010

description: Agreement between trained and untrained coders in assessing television content was investigated. A model integrating the different approaches to content analysis was proposed. The model contains three dimensions: audience coders versus expert coders, microanalysis versus macroanalysis, and quantitative versus qualitative analysis. The audience versus expert coders facet of that model was evaluated by having university students watch and assess the content of 24 television programs chosen from prime-time on the basis of their popularity. They were not trained in content analysis and did not know the questions about which they were asked until after viewing their program. Their evaluations were compared with similar evaluations given previously by trained (expert) coders. Each of the 24 programs was watched by 5 male and 5 female naive coders (total N=240). The groups were balanced for ethnicity and socioeconomic status. A statistic developed especially for this research was used to compare the naive and expert ratings on 22 selected variables. The results indicated that untrained and trained coders in general evaluated the programs similarly. Moreover, the questions on which the experts tended not to agree (that is, were unreliable) were generally the same ones on which the untrained coders did not agree, both amongst themselves and with the experts.
Challenges of Data Use in the Evolving Smart Grid
Creators: D. Dolezilek
Publisher: name: IEEE
Year: 2023

Solving emerging grid challenges, such as potential overloading of local distribution infrastructure with greater penetration of EVs, or balancing supply and demand with increased variable renewable resources, is becoming increasingly dependent upon reliable information. This panel will discuss a variety of challenges to obtaining reliable smart grid information, as well as data privacy issues. Data challenges arising from forecasting inaccuracies, limitations associated with communication networks, markets' limited observability into distributed resources, and artificial intelligence algorithms deployed in the smart grid will be discussed. The panel will also discuss various emerging techniques to increase availability of reliable information, while also addressing privacy issues.
Presentations in this panel session:
- OT Data in Motion Within the Grid and on Demand Across the Grid Edge (23PESGM4087)
Solving emerging grid challenges, such as potential overloading of local distribution infrastructure with greater penetration of EVs, or balancing supply and demand with increased variable renewable resources, is becoming increasingly dependent upon reliable information. This panel will discuss a variety of challenges to obtaining reliable smart grid information, as well as data privacy issues. Data challenges arising from forecasting inaccuracies, limitations associated with communication networks, markets' limited observability into distributed resources, and artificial intelligence algorithms deployed in the smart grid will be discussed. The panel will also discuss various emerging techniques to increase availability of reliable information, while also addressing privacy issues.
Presentations in this panel session:
- OT Data in Motion Within the Grid and on Demand Across the Grid Edge (23PESGM4087)
Why there is something rather than nothing (out of everything)?
Creators: name: Barvinsky, A. O.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The path integral over Euclidean geometries for the recently suggested density matrix of the Universe is shown to describe a microcanonical ensemble in quantum cosmology. This ensemble corresponds to a uniform (weight one) distribution in phase space of true physical variables, but in terms of the observable spacetime geometry it is peaked about complex saddle-points of the {\em Lorentzian} path integral. They are represented by the recently obtained cosmological instantons limited to a bounded range of the cosmological constant. Inflationary cosmologies generated by these instantons at late stages of expansion undergo acceleration whose low-energy scale can be attained within the concept of dynamically evolving extra dimensions. Thus, together with the bounded range of the early cosmological constant, this cosmological ensemble suggests the mechanism of constraining the landscape of string vacua and, simultaneously, a possible solution to the dark energy problem in the form of the quasi-equilibrium decay of the microcanonical state of the Universe.
description: 4 pages, RevTex, several references added and minor changes done
Additional file 1 of Implications of the ACC/AHA risk score for prediction of heart failure: the Rotterdam Study
Creators: name: Arshi, Banafsheh
name: Berge, Jan C. Van Den
name: Dijk, Bart Van
name: Deckers, Jaap W.
name: M. Arfan Ikram
name: Kavousi, Maryam
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: Additional file 1: Supplementary Table 1. Hazard ratios for incident HF in the ACC/AHA model, ARIC model, Health ABC model and ACC/AHA + NT-proBNP model in men and women. Supplementary Table 2. Overall goodness-of-fit for the ACC/AHA model, ARIC model, Health ABC model and ACC + NT-proBNP model in men and women. Supplementary Table 3. Risk reclassification for the ACC/AHA model after adding NT-proBNP stratified by event status. Supplementary Table 4. Fine and Gray’s subdistribution hazard ratios for incident HF and mortality in the ACC/AHA model, ARIC model, Health ABC model and ACC/AHA + NT-proBNP model in men and women. Supplementary Figure 1. Calibration plots for the observed and predicted risk based on the ACC/AHA model, ARIC model, Health ABC model and ACC + NT-proBNP model in men and women. Supplementary Figure 2. Risk reclassification for the ACC/AHA model after adding NT-proBNP stratified by event status.
Energy-Momentum tensor on foliations
Creators: name: Habib, Georges
Publisher: name: arXiv
Year: 2007
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: In this paper, we give a new lower bound for the eigenvalues of the Dirac operator on a compact spin manifold. This estimate is motivated by the fact that in its limiting case a skew-symmetric tensor (see Equation \eqref{eq:16}) appears that can be identified geometrically with the O'Neill tensor of a Riemannian flow, carrying a transversal parallel spinor. The Heisenberg group which is a fibration over the torus is an example of this case. Sasakian manifolds are also considered as particular examples of Riemannian flows. Finally, we characterize the 3-dimensional case by a solution of the Dirac equation
Testing the SZ-based tomographic approach to the thermal history of the universe with pressure-density cross-correlations: Insights from the Magneticum simulation
Creators: name: Young, Sam
name: Komatsu, Eiichiro
name: Dolag, Klaus
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The thermal Sunyaev-Zeldovich effect contains information about the thermal history of the universe, observable in maps of the Compton $y$ parameter; however, it does not contain information about the redshift of the sources. Recent papers have utilized a tomographic approach, cross-correlating the Compton $y$ map with the locations of galaxies with known redshift, in order to deproject the signal along the line of sight. In this paper, we test the validity and accuracy of this tomographic approach to probe the thermal history of the universe. We use the state-of-the-art cosmological hydrodynamical simulation, Magneticum, for which the thermal history of the universe is a known quantity. The key ingredient is the Compton-$y$-weighted halo bias, $b_y$, computed from the halo model. We find that, at redshifts currently available, the method reproduces the correct mean thermal pressure (or the density-weighted mean temperature) to high accuracy, validating and confirming the results of previous papers. At higher redshifts ($z\gtrsim 2.5$), there is significant disagreement between $b_y$ from the halo model and the simulation.
description: 5 pages, 4 figures
Resilient Control and Operation of Power Grids against Cybersecurity Threats: Challenges and Solutions
Creators: W. Sun
T. Laughner
W. Edwards
Publisher: name: IEEE
Year: 2023

Similar to all engineering applications and systems, power and energy systems are designed to be controlled in a closed-loop structure. Closed-loop systems can regulate the components of power grids to react appropriately to any system changes. Since smart grids heavily tie the control system with cyber and communication interfaces, the entire grid becomes vulnerable to cyber anomalies. This panel will study the different aspects of control design for power grids to be resilient against cyber disruptions.
Presentations in this panel session:
- Proactive Defense and Adaptive Self-healing for Coordinated Cyber-Physical Attacks in Distribution Systems with DERs (23PESGM3943)
- Clouding of Our Cyber Lens - Focus on smart grid and DER technologies (23PESGM3946)
- Overview of PES Technical Report on IT / OT Challenges and Opportunities to Improve Cyber Resiliency for Utilities (23PESGM3944)
Similar to all engineering applications and systems, power and energy systems are designed to be controlled in a closed-loop structure. Closed-loop systems can regulate the components of power grids to react appropriately to any system changes. Since smart grids heavily tie the control system with cyber and communication interfaces, the entire grid becomes vulnerable to cyber anomalies. This panel will study the different aspects of control design for power grids to be resilient against cyber disruptions.
Presentations in this panel session:
- Proactive Defense and Adaptive Self-healing for Coordinated Cyber-Physical Attacks in Distribution Systems with DERs (23PESGM3943)
- Clouding of Our Cyber Lens - Focus on smart grid and DER technologies (23PESGM3946)
- Overview of PES Technical Report on IT / OT Challenges and Opportunities to Improve Cyber Resiliency for Utilities (23PESGM3944)
Formation of density singularities in ideal hydrodynamics of freely cooling inelastic gases: a family of exact solutions
Creators: name: Fouxon, Itzhak
name: Meerson, Baruch
name: Assaf, Michael
name: Livne, Eli
Publisher: name: arXiv
Year: 2007
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Pattern Formation and Solitons (nlin.PS)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We employ granular hydrodynamics to investigate a paradigmatic problem of clustering of particles in a freely cooling dilute granular gas. We consider large-scale hydrodynamic motions where the viscosity and heat conduction can be neglected, and one arrives at the equations of ideal gas dynamics with an additional term describing bulk energy losses due to inelastic collisions. We employ Lagrangian coordinates and derive a broad family of exact non-stationary analytical solutions that depend only on one spatial coordinate. These solutions exhibit a new type of singularity, where the gas density blows up in a finite time when starting from smooth initial conditions. The density blowups signal formation of close-packed clusters of particles. As the density blow-up time $t_c$ is approached, the maximum density exhibits a power law $\sim (t_c-t)^{-2}$. The velocity gradient blows up as $\sim - (t_c-t)^{-1}$ while the velocity itself remains continuous and develops a cusp (rather than a shock discontinuity) at the singularity. The gas temperature vanishes at the singularity, and the singularity follows the isobaric scenario: the gas pressure remains finite and approximately uniform in space and constant in time close to the singularity. An additional exact solution shows that the density blowup, of the same type, may coexist with an "ordinary" shock, at which the hydrodynamic fields are discontinuous but finite. We confirm stability of the exact solutions with respect to small one-dimensional perturbations by solving the ideal hydrodynamic equations numerically. Furthermore, numerical solutions show that the local features of the density blowup hold universally, independently of details of the initial and boundary conditions.
description: 19 pages, 7 figures
Trustworthy Machine Learning for Power System Planning and Operation
Creators: T. Li
D. Deka
T. Zheng
X. Luo
M. Hong
B. Donon
Publisher: name: IEEE
Year: 2023

There has been an explosion of machine learning applications for power systems in recent years. However, for most of the power system industry, neural networks and other machine learning approaches remain a black box. It is, therefore, extremely difficult for utilities and power system operators to trust and adopt such tools in practice, despite the advantages they can offer. This session aims to address this challenge in two ways. First, outline the barriers the power system industry faces for the application of machine learning in power system planning and operation. Second, discuss trustworthy machine learning methods, which can provide rigorous guarantees about how such methods behave; trustworthy and explainable machine learning can build the missing trust in the power systems industry, and unlock a series of opportunities for power system applications. The goal of this session is to discuss the state-of-the-art, inform the industry, and inspire the research community to work on the development and such tools.
Presentations in this panel session:
- Enhancing Responsible AI for Scalable and Adaptive EV Charging (23PESGM4235)
- Certifiable and Trustworthy fault localization in power grids (23PESGM4236)
- Machine Learning in Grid Operation (23PESGM4238)
- Increasing AI robustness to topological variations (23PESGM4240)
There has been an explosion of machine learning applications for power systems in recent years. However, for most of the power system industry, neural networks and other machine learning approaches remain a black box. It is, therefore, extremely difficult for utilities and power system operators to trust and adopt such tools in practice, despite the advantages they can offer. This session aims to address this challenge in two ways. First, outline the barriers the power system industry faces for the application of machine learning in power system planning and operation. Second, discuss trustworthy machine learning methods, which can provide rigorous guarantees about how such methods behave; trustworthy and explainable machine learning can build the missing trust in the power systems industry, and unlock a series of opportunities for power system applications. The goal of this session is to discuss the state-of-the-art, inform the industry, and inspire the research community to work on the development and such tools.
Presentations in this panel session:
- Enhancing Responsible AI for Scalable and Adaptive EV Charging (23PESGM4235)
- Certifiable and Trustworthy fault localization in power grids (23PESGM4236)
- Machine Learning in Grid Operation (23PESGM4238)
- Increasing AI robustness to topological variations (23PESGM4240)
Supplementary Figures
Creators: name: Starikova, Elizaveta
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 310299
subject: Bioinformatics and computational biology not elsewhere classified

description: This file contains supplementary figures for the paper "Oropharyngeal resistome remains stable during COVID-19 therapy, while fecal resistome shifts towards a less diverse resistotype" by Starikova et al. (2024)