cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A combined analysis of 3D Weak Lensing, Lyman-alpha forest and WMAP year three data
Creators: name: Lesgourgues, J.
name: Viel, M.
name: Haehnelt, M. G.
name: Massey, R.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present constraints on the amplitude and shape of the matter power spectrum and the density of dark matter within the framework of a standard LambdaCDM model. We use a Markov Chain Monte Carlo approach to combine independent measurements of the three dimensional weak gravitational lensing shear field by the COSMOS survey, of low and high resolution Ly-alpha forest flux power spectrum by SDSS and LUQAS, and of Cosmic Microwave Background temperature and polarization anisotropies by WMAP. We note good agreement between the amplitude of the matter power spectrum on intermediate and small scales as inferred from Ly-alpha forest and lensing data. The Ly-alpha forest data helps to break the sigma_8-Omega_m degeneracy characteristic of weak lensing results, yielding sigma_8 = 0.876 +- 0.048 for COSMOS plus Ly-alpha SDSS data. This is somewhat larger than the value preferred by the WMAP year three CMB data. Combining all three data sets significantly tightens the constraints on sigma_8, the spectral index of primordial density fluctuation n_s, a possible running of the spectral index n_run and the matter density Omega_m. Assuming no running, the joint constraints for COSMOS, SDSS and WMAP are sigma_8 = 0.800 +- 0.023, n_s = 0.971 +- 0.011, Omega_m = 0.247 +- 0.016 (1-sigma error bars).
description: 7 pages, 2 figures; version accepted in JCAP, weak lensing module for CosmoMC available at http://www.astro.caltech.edu/~rjm/cosmos/cosmomc/
การรับรู้การสนับสนุนจากองค์การที่ส่งผลต่อความผูกพันต่อองค์การของบุคลากรเทศบาลในเขตพื้นที่อำเภอเมืองนครปฐม จังหวัดนครปฐม
Creators: name: บัณฑิต วิเวกวรรณ์
Publisher: name: College of Politics and Governance (COPAG), Mahasarakham University
Year: 2021
Subjects: Perception
Perceived Organizational Support
Organizational Commitment
Municipality

description: Journal of Politics and Governance, 11, 2, 185-202
Slides for: Virtualization in Smart City Critical Energy Infrastructure
Creators: Moein Manbachi
Publisher: name: IEEE
Year: 2022

Slides for Webinar: Virtualization in Smart City Critical Energy Infrastructure
The recent pandemic has revolutionized the way we work and how we access our infrastructure remotely. There has been a recent trend among industrial companies and city managers to adopt novel strategies to ensure the reliability, safety and security of their critical energy infrastructure in this new environment. Virtualization technologies have been suggested by many experts as a way to support these strategies. Digital twinning, combined with other smart city technologies and systems such as the Internet of Things (IoT) and Artificial Intelligence (AI), will allow smart city critical energy infrastructures to be more visible, flexible, and resilient.
This webinar focuses on virtualization technologies, their applications, their advantages and disadvantages, and the role such technologies can play in supporting smart city energy infrastructures, such as smart microgrids, substations, and energy hubs. Following are the learning objectives for this webinar:
-	Understanding how advanced virtualization technologies can be utilized
-	Learning how proper virtualization topology can be designed
-	Learning how control/command layer(s) can be migrated into the cloud.
-	Investigating the latest virtualization challenges and integration issues
As a result of this webinar, attendees will learn about recent advancements in virtualization technologies for critical energy infrastructure in smart cities.
The IRCAL Polarimeter: Design, Calibration, and Data Reduction for an Adaptive Optics Imaging Polarimeter
Creators: name: Perrin, Marshall D.
name: Graham, James R.
name: Lloyd, James P.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We have upgraded IRCAL, the near-infrared science camera of the Lick Observatory adaptive optics system, to add a dual-channel imaging polarimetry mode. This mode uses an optically contacted YLF (LiYF_4) Wollaston prism to provide simultaneous images in perpendicular linear polarizations, providing high resolution, high dynamic range polarimetry in the near infrared. We describe the design and construction of the polarimeter, discuss in detail the data reduction algorithms adopted, and evaluate the instrument's on-the-sky performance. The IRCAL polarimeter is capable of reducing the stellar PSF halo by about two orders of magnitude, thereby increasing contrast for studies of faint circumstellar dust-scattered light. We discuss the various factors that limit the achieved contrast, and present lessons applicable to future high contrast imaging polarimeters.
description: 15 pages; accepted to PASP
กลยุทธ์การพัฒนาเมืองท่องเที่ยวชายแดนแม่สอด
Creators: name: คมสิทธิ์ เกียนวัฒนา
Publisher: name: College of Politics and Governance (COPAG), Mahasarakham University
Year: 2021
Subjects: subject: Developments Strategies
subject: Mae Sot City
subject: Frontier Tourism Destination
subject: Tourism
subject: FOS: Economics and business

description: Journal of Politics and Governance, 11, 2, 203-216
Three-dimensional dust geometry of the LMC HI ridge region as revealed by the IRSF/SIRIUS survey
Creators: name: Furuta, Takuya
name: Kaneda, Hidehiro
name: Kokusho, Takuma
name: Nakajima, Yasushi
name: Fukui, Yasuo
name: Tsuge, Kisetsu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present a new method to evaluate the dust extinction (AV) along the line of sight using the InfraRed Survey Facility (IRSF) near-infrared (NIR) data of the Large Magellanic Cloud (LMC) HI ridge region. In our method, we estimate an AV value for each star from the NIR color excess and sort them from bluer to redder in each line of sight. Using the percentile values of the sorted AV, we newly construct the three-dimensional AV map. We compare the resultant AV map with the total hydrogen column density N(H) traced by velocity-resolved HI and CO observations. In the LMC HI ridge region, Fukui et al. (2017, PASJ, 69, L5) find two velocity components and an intermediate velocity one bridging them. Comparing our three-dimensional AV maps with N(H) maps at the different velocities, we find that the dust geometry is consistent with the scenario of the on-going gas collision between the two velocities as suggested in the previous study. In addition, we find difference by a factor of 2 in AV/N(H) between the two velocity components, which suggests that inflow gas from the Small Magellanic Clouds (SMC) is mixed in this region. As a whole, our results support the triggered star formation in 30 Doradus due to the large-scale gas collision caused by tidal interaction between the LMC and the SMC.
description: 18 pages, 16 figures, accepted for publication in PASJ
ความสัมพันธ์ระหว่างไทยกับสาธารณรัฐประชาธิปไตยประชาชนลาวภายใต้ความร่วมมือในการถ่ายทอดเทคโนโลยีเพื่อเสริมสร้างศักยภาพในการตรวจวัดกัมมันตภาพรังสีและระดับรังสีในสิ่งแวดล้อม
Creators: name: จุฑาทิพ คล้ายทับทิม
Publisher: name: College of Politics and Governance (COPAG), Mahasarakham University
Year: 2021
Subjects: Foreign Relations between Thailand and Lao People's Democratic Republic
Transfer Technology
Radiation Dose Measurement

description: Journal of Politics and Governance, 11, 2, 217-232
November : Data Analytics for Smart Cities
Creators: Qi Hong Lai
Viktoriya Mostova
Alfredo Vaccaro
Ren-Zuo Wang
Chih-Shian Chen
Chih-Yih Hsieh
Chia-Chan Hsu
Fu-Yao Ko
Jui-Mien Lin
Zhebin Chen
Zhao Yang Dong
Yishen Wang
Xiao Liang
Fei Zhou
Publisher: name: IEEE
Year: 2022

Newsletter
This is the first issue on Data Analytics for Smart Cities featuring a foreword by Qi Hong Lai, "The Role of Wireless Sensor Networks for Pervasive Smart Grids Communication", "Application of 5D SmartES Platform in Smart City", "Anticipation of Web 3.0 for Future Smart Energy Systems" and "Computing and Analytics for Demand-Side Resources in Smart Cities".
A New Era For Load Control: From Passive Response to Active Participation (slides)
Creators: Ning Lu
Publisher: name: IEEE
Year: 2022

Many countries have set a goal to achieve 100% clean energy by 2035. This will require integration of a large amount of intermittent renewable generation resources at all levels. To cope with the increasing operational variability and uncertainty on the generation side, new modeling methods and control technologies to better manage load side resources are needed. In this talk, I will first introduce the load modeling principles, which include the modeling of individual and aggregated loads. Then, I will discuss a few basic load control mechanisms including a summary of existing load control design considerations and a few examples of futuristic control schemes, where active customer participation and high control accuracy are expected. Next, I will briefly talk about how to provide incentives to demand side resources under the existing rate structure and its pros and cons. Issues in non-descriptive reward allocation mechanisms are discussed and a few examples are given to illustrate potential solutions. The presentation will be concluded by a brief summary of the presentation and an outlook of challenges and issues we may need to face in transition to a net zero carbon future.
Many countries have set a goal to achieve 100% clean energy by 2035. This will require integration of a large amount of intermittent renewable generation resources at all levels. To cope with the increasing operational variability and uncertainty on the generation side, new modeling methods and control technologies to better manage load side resources are needed. In this talk, I will first introduce the load modeling principles, which include the modeling of individual and aggregated loads. Then, I will discuss a few basic load control mechanisms including a summary of existing load control design considerations and a few examples of futuristic control schemes, where active customer participation and high control accuracy are expected. Next, I will briefly talk about how to provide incentives to demand side resources under the existing rate structure and its pros and cons. Issues in non-descriptive reward allocation mechanisms are discussed and a few examples are given to illustrate potential solutions. The presentation will be concluded by a brief summary of the presentation and an outlook of challenges and issues we may need to face in transition to a net zero carbon future.
A clumpy-cloud PDR model of the global far-infrared line emission of the Milky Way
Creators: name: Cubick, M.
name: Stutzki, J.
name: Ossenkopf, V.
name: Kramer, C.
name: Röllig, M.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The fractal structure of the interstellar medium suggests that the interaction of UV radiation with the ISM as described in the context of photon-dominated regions (PDR) dominates most of the physical and chemical conditions, and hence the far-infrared and submm emission from the ISM in the Milky Way. We investigate to what extent the Galactic FIR line emission of the important species CO, C, C+, and O, as observed by the Cosmic Background Explorer (COBE) satellite can be modeled in the framework of a clumpy, UV-penetrated cloud scenario. The far-infrared line emission of the Milky Way is modeled as the emission from an ensemble of clumps with a power law clump mass spectrum and mass-size relation with power-law indices consistent with the observed ISM structure. The individual clump line intensities are calculated using the KOSMA-tau PDR-model for spherical clumps. The model parameters for the cylindrically symmetric Galactic distribution of the mass density and volume filling factor are determined by the observed radial distributions. A constant FUV intensity, in which the clumps are embedded, is assumed. We show that this scenario can explain, without any further assumptions and within a factor of about 2, the absolute FIR-line intensities and their distribution with Galactic longitude as observed by COBE.
description: 14 pages, 13 figures, accepted by A&A at the 7th of July, 2008
An Eta Primer: Solving the U(1) Problem with AdS/QCD
Creators: name: Katz, Emanuel
name: Schwartz, Matthew D
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Inspired by the AdS/CFT correspondence, we study the pseudoscalar mesons of QCD through a dual embedding in a strongly curved extra dimensional spacetime. This model incorporates the consequences of symmetry and has very few free parameters, due to constraints from five-dimensions and the operator product expansion of QCD. Using as inputs the pion, kaon, and rho masses and fpi, we compute the eta and eta prime masses to be 520 and 867 MeV, respectively. Their decay rates into photons are also computed and found to be in good agreement with data.
description: 15 pages, 6 figures; typos fixed, references added in v2
Application of spatio-temporal data-driven and machine learning algorithms for security assessment
Creators: Rafael Segundo
Yanli Liu
Emilio Barocio
Petr Korba
Aharon de la Torre
Al-Amin Bugaje
Alejandro Zamora-Mendez
Alexandra Karpilow
Carlos Toledo
Claudia Caro-Ruiz
Daniel Dotta
Daniel Müller
David Panchi
Diego Echeverría
Federica Bellizio
Francisco Zelaya
Gabriel V. de S. Lopes
Gao Qiu
Garibaldi Pineda-Garcia
Goran Strbac
Hector Chavez
Hjörtur Jóhannsson
Jaime Cepeda
Jochen L. Cremer
Jose Ortiz-Bejar
José Zarate
José Antonio de la O Serna
Juan Quiroz
Juan M. Ramirez
Junbo Zhao
Lucas Lugnani
Luis Gonzalez
Luis Mendieta
Marcos Netto
Mario Paolone
Mario R. Arrieta Paternina
Miguel Ramirez-Gonzalez
Panagiotis Papadopoulos
Rodrigo D. Reyes de Luna
Salvador Lara
Tong Su
Yoshihiko Susuki
Youbo Liu
Yutaka Ota
Publisher: name: IEEE
Year: 2022

This technical document summarizes recent advancements on spatio-temporal data-driven and machine learning methods for static and dynamic security assessment, and their particular use cases. It is a collective effort of different research groups with the aim of providing transmission system operators (TSOs) with innovative tools and ideas for their potential implementation. The algorithms presented here are classified as non-training and training approaches, namely spatio-temporal and machine learning based, considering as input time series from time domain simulations, and or synchrophasor data from wide-area monitoring systems. The efficacy of these algorithms is then evaluated in different IEEE benchmark models and real-power systems such as the Mexican, USA, Chilean, Brazilian, Ecuadorian, Japanese and Swedish systems, respectively.
This technical document summarizes recent advancements on spatio-temporal data-driven and machine learning methods for static and dynamic security assessment, and their particular use cases. It is a collective effort of different research groups with the aim of providing transmission system operators (TSOs) with innovative tools and ideas for their potential implementation. The algorithms presented here are classified as non-training and training approaches, namely spatio-temporal and machine learning based, considering as input time series from time domain simulations, and or synchrophasor data from wide-area monitoring systems. The efficacy of these algorithms is then evaluated in different IEEE benchmark models and real-power systems such as the Mexican, USA, Chilean, Brazilian, Ecuadorian, Japanese and Swedish systems, respectively.
Slides for: An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning
Creators: Dr. Berrak Sisman
Dr. Simon King
Dr. Junichi Yamagishi
Dr. Haizhou Li
Publisher: name: IEEE
Year: 2022

Slides for: SPS Webinar, October 25, 2022, Dr. Berrak Sisman, Dr. Simon King, Dr. Junichi Yamagishi, Dr. Haizhou Li
Voice conversion (VC) is a significant aspect of artificial intelligence. It is the study of how to convert one�s voice to sound like that of another without changing the linguistic content. Voice conversion belongs to a general technical field of speech synthesis, which converts text to speech or changes the properties of speech, for example, voice identity, emotion, and accents. Voice conversion involves multiple speech processing techniques, such as speech analysis, spectral conversion, prosody conversion, speaker characterization, and vocoding. With the recent advances in theory and practice, we are now able to produce human-like voice quality with high speaker similarity. In this talk, we provide a comprehensive overview of the state-of-the-art of voice conversion techniques and their performance evaluation methods from the statistical approaches to deep learning and discuss their promise and limitations. We will also present the recent Voice Conversion Challenges (VCC), the performance of the current state of technology, and provide a summary of the available resources for voice conversion research.
Slides for: Neural Spectrospatial Filter
Creators: Dr. DeLiang Wang
Publisher: name: IEEE
Year: 2022

Slides for: SPS Webinar, Nov 9, 2022, Dr. DeLiang Wang
As the most widely-used spatial filtering approach for multi-channel signal separation, beamforming extracts the target signal arriving from a specific direction. We present an emerging approach based on multi-channel complex spectral mapping, which trains a deep neural network (DNN) to directly estimate the real and imaginary spectrograms of the target signal from those of the multi-channel noisy mixture. In this all-neural approach, the trained DNN itself becomes a nonlinear, time-varying spectrospatial filter.

How does this conceptually simple approach perform relative to commonly-used beamforming techniques on different array configurations and in different acoustic environments? We examine this issue systematically on speech dereverberation, speech enhancement, and speaker separation tasks. Comprehensive evaluations show that multi-channel complex spectral mapping achieves speech separation performance comparable to or better than beamforming for different array geometries, and reduces to monaural complex spectral mapping in single-channel conditions, demonstrating the versatility of this new approach for multi-channel and single-channel speech separation. In addition, such an approach is computationally more efficient than popular mask-based beamforming. We conclude that this neural spectrospatial filter provides a strong alternative to traditional and mask-based beamforming.
Bouncing ball orbits and symmetry breaking effects in a three-dimensional chaotic billiard
Creators: name: Dietz, B.
name: Moessner, B.
name: Papenbrock, T.
name: Reif, U.
name: Richter, A.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Physical sciences

description: We study the classical and quantum mechanics of a three-dimensional stadium billiard. It consists of two quarter cylinders that are rotated with respect to each other by 90 degrees, and it is classically chaotic. The billiard exhibits only a few families of nongeneric periodic orbits. We introduce an analytic method for their treatment. The length spectrum can be understood in terms of the nongeneric and unstable periodic orbits. For unequal radii of the quarter cylinders the level statistics agree well with predictions from random matrix theory. For equal radii the billiard exhibits an additional symmetry. We investigated the effects of symmetry breaking on spectral properties. Moreover, for equal radii, we observe a small deviation of the level statistics from random matrix theory. This led to the discovery of stable and marginally stable orbits, which are absent for un equal radii.
description: 11 pages, 10 eps figures
ISGT Europe 2022 super session 3: Artificial Intelligence for Active Power Distribution (Slides)
Creators: M. Kezunovic
J. Cremer
L. Duchesne
M. Markovic
P. Vergara Barrios
Publisher: name: IEEE
Year: 2022

The distributed paradigm toward more flexible operation of the electricity infrastructure may find its new foundation in the active real-time self-management of the many distributed energy resources. There, interestingly, the recent progress of developing AI-based algorithms for distributed self-organized agents part of the network can consider system stability constraints, and manage network congestion through their energy market participation. However, reinforced AI-based control may lack verifiable guarantees, transparency, and privacy, and can have inherent inaccuracies. In response, the system operators finally responsible for the reliable operation of the grid need advanced state estimation techniques using collected measurements so they can prevent instabilities. Processing these collected measurements is unfortunately not straightforward as the amount of data is increasing exponentially which is why advanced federated data processing techniques are currently in development. There, also for system operators, AI-based algorithms are very promising in the estimation of system states, the detection of active devices without intrusion, and the forecasts of some state variables such as demand or distributed renewable power injection. In this context, this panel will discuss the recently successful applications of AI methods such as multi-agent reinforcement learning, federated learning, and deep learning.
The distributed paradigm toward more flexible operation of the electricity infrastructure may find its new foundation in the active real-time self-management of the many distributed energy resources. There, interestingly, the recent progress of developing AI-based algorithms for distributed self-organized agents part of the network can consider system stability constraints, and manage network congestion through their energy market participation. However, reinforced AI-based control may lack verifiable guarantees, transparency, and privacy, and can have inherent inaccuracies. In response, the system operators finally responsible for the reliable operation of the grid need advanced state estimation techniques using collected measurements so they can prevent instabilities. Processing these collected measurements is unfortunately not straightforward as the amount of data is increasing exponentially which is why advanced federated data processing techniques are currently in development. There, also for system operators, AI-based algorithms are very promising in the estimation of system states, the detection of active devices without intrusion, and the forecasts of some state variables such as demand or distributed renewable power injection. In this context, this panel will discuss the recently successful applications of AI methods such as multi-agent reinforcement learning, federated learning, and deep learning.
Do Killing-Yano tensors form a Lie Algebra?
Creators: name: Kastor, David
name: Ray, Sourya
name: Traschen, Jennie
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Killing-Yano tensors are natural generalizations of Killing vectors. We investigate whether Killing-Yano tensors form a graded Lie algebra with respect to the Schouten-Nijenhuis bracket. We find that this proposition does not hold in general, but that it does hold for constant curvature spacetimes. We also show that Minkowski and (anti)-deSitter spacetimes have the maximal number of Killing-Yano tensors of each rank and that the algebras of these tensors under the SN bracket are relatively simple extensions of the Poincare and (A)dS symmetry algebras.
description: 17 pages
Slides for: Learning Activation Functions in Deep (Spline) Neural Networks
Creators: Dr. Michael Unser
Publisher: name: IEEE
Year: 2022

Slides for: SPS Webinar, Nov 7, 2022, Dr. Michael Unser
We present a unifying functional framework for the implementation and training of deep neural networks with free-form activation functions. To make the problem well posed, we constrain the shape of the trainable activations (neurons) by penalizing their second-order total variations. We prove that the optimal activations are adaptive piecewise-linear splines, which allows us to recast the problem as a parametric optimization. We then specify some corresponding trainable B-spline-based activation units. These modules can be inserted in deep neural architectures and optimized efficiently using the standard tools of machine learning. We illustrate the benefit of our approach on examples of applications. The proposed scheme is especially beneficial in scenarios where there are depth and/or stability constraints on the neural network as, for instance, in Plug-and-Play algorithms for iterative image reconstruction.
TermAdventure: Interactively Teaching UNIX Command Line, Text Adventure Style
Creators: name: Šuppa, Marek
name: Jariabka, Ondrej
name: Matejov, Adrián
name: Nagy, Marek
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computers and Society (cs.CY)
subject: Human-Computer Interaction (cs.HC)
subject: Operating Systems (cs.OS)
subject: FOS: Computer and information sciences

description: Introductory UNIX courses are typically organized as lectures, accompanied by a set of exercises, whose solutions are submitted to and reviewed by the lecturers. While this arrangement has become standard practice, it often requires the use of an external tool or interface for submission and does not automatically check its correctness. That in turn leads to increased workload and makes it difficult to deal with potential plagiarism. In this work we present TermAdventure (TA), a suite of tools for creating interactive UNIX exercises. These resemble text adventure games, which immerse the user in a text environment and let them interact with it using textual commands. In our case the ''adventure'' takes place inside a UNIX system and the user interaction happens via the standard UNIX command line. The adventure is a set of exercises, which are presented and automatically evaluated by the system, all from within the command line environment. The suite is released under an open source license, has minimal dependencies and can be used either on a UNIX-style server or a desktop computer running any major OS platform through Docker. We also reflect on our experience of using the presented suite as the primary teaching tool for an introductory UNIX course for Data Scientists and discuss the implications of its deployment in similar courses. The suite is released under the terms of an open-source license at \url{https://github.com/NaiveNeuron/TermAdventure}.
description: Accepted at ITiCSE 2021
The FBI concept in the context of Ba-tagging for neutrinoless double beta decay events (Fluorescent Bicolor Indicator)
Creators: name: Freixa, Zoraida
name: Rivilla, Iván
name: Aparicio, Borja
name: Herrero, Pablo
name: Rogero, Celia
name: Monrabal, Francesc
name: Cossío, Fernando P.
name: Gómez-Cadenas, Juan José
Publisher: name: Zenodo
Year: 2021
Subjects: Double Beta Decays and Neutrino

description: Parallel Flash Talk at the
 "XIX International Workshop on Neutrino Telescopes"
 on line - 18-26 February, 2021
description: on behalf of NEXT
description: {"references": ["10.1038/s41586-020-2431-5"]}
ISGT 16 Tutorial: Introduction to Smart Grid Data and Analytics (Slides)
Creators: A. Venkateswaran
A. Ipakchi
Publisher: name: IEEE
Year: 2016

This tutorial will review: � Key analytics areas within the utility the operational rhythm of the analytics platform as it is leveraged to deliver sustainable value over time � Challenges that remain when trying to combine the analytics needs of the entire utility into a cohesive energy analytics portfolio � How the industry as a whole is responding to this new set of requirements � These points will be supported by actual Utility case studies
This tutorial will review:
� Key analytics areas within the utility the operational rhythm of the analytics platform as it is leveraged to deliver sustainable value over time
� Challenges that remain when trying to combine the analytics needs of the entire utility into a cohesive energy analytics portfolio
� How the industry as a whole is responding to this new set of requirements
� These points will be supported by actual Utility case studies
The impact of mergers on relaxed X-ray clusters - III. Effects on compact cool cores
Creators: name: Poole, Gregory B.
name: Babul, Arif
name: McCarthy, Ian G.
name: Sanderson, A. J. R.
name: Fardal, Mark A.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: (Abridged) We use the simulations presented in Poole et al. 2006 to examine the effects of mergers on compact cool cores in X-ray clusters. We propose a scheme for classifying the morphology of clusters based on their surface brightness and entropy profiles. Three dominant morphologies emerge: two hosting compact cores and central temperatures which are cool (CCC systems) or warm (CWC systems) and one hosting extended cores which are warm (EWC systems). We find that CCC states are disrupted only after direct collisions between cluster cores in head-on collisions or during second pericentric passage in off-axis mergers. By the time they relax, our remnant cores have generally been heated to warm core (CWC or EWC) states but subsequently recover CCC states. The only case resulting in a long-lived EWC state is a slightly off-axis 3:1 merger for which the majority of shock heating occurs during the accretion of a low-entropy stream formed from the disruption of the secondary's core. Compression prevents core temperatures from falling until after relaxation thus explaining the observed population of relaxed CWC systems with no need to invoke AGN feedback. The morphological segregation observed in the L_x-T_x and beta-r_c scaling relations is reflected in our simulations as well. However, none of the cases we have studied produce sufficiently high remnant central entropies to account for the most under-luminous EWC systems observed. Lastly, systems which initially host central metallicity gradients do not yield merger remnants with flat metallicity profiles. Taken together, these results suggest that once formed, compact core systems are remarkably stable against disruption from mergers. It remains to be demonstrated exactly how the sizable observed population of extended core systems was formed.
description: 19 pages, 8 figures, submitted for publication in MNRAS
Phenomenology and Theory of Cosmic Particles in the Galaxy
Creators: name: Evoli, Carmelo
Publisher: name: Zenodo
Year: 2019
Subjects: cosmic rays
astroparticle physics
turbulence

description: Presentation given at the "New perspective on Galactic Magnetism" conference at Newcastle University (UK) on June 13, 2019.
description: {"references": ["Evoli, Carmelo et al. (2018), Physical Review Letters, Volume 121, Issue 2, id.021102", "Evoli, Carmelo et al. (2019), Physical Review D, Volume 99, Issue 10, id.103023"]}
A Review of Accelerated Test Models
Creators: name: Escobar, Luis A.
name: Meeker, William Q.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Engineers in the manufacturing industries have used accelerated test (AT) experiments for many decades. The purpose of AT experiments is to acquire reliability information quickly. Test units of a material, component, subsystem or entire systems are subjected to higher-than-usual levels of one or more accelerating variables such as temperature or stress. Then the AT results are used to predict life of the units at use conditions. The extrapolation is typically justified (correctly or incorrectly) on the basis of physically motivated models or a combination of empirical model fitting with a sufficient amount of previous experience in testing similar units. The need to extrapolate in both time and the accelerating variables generally necessitates the use of fully parametric models. Statisticians have made important contributions in the development of appropriate stochastic models for AT data [typically a distribution for the response and regression relationships between the parameters of this distribution and the accelerating variable(s)], statistical methods for AT planning (choice of accelerating variable levels and allocation of available test units to those levels) and methods of estimation of suitable reliability metrics. This paper provides a review of many of the AT models that have been used successfully in this area.
description: Published at http://dx.doi.org/10.1214/088342306000000321 in the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Slides for: Decentralized Federated Learning: Balancing Communication and Computing Costs
Creators: Mr. Wei Liu
Dr. Li Chen and Dr. Wenyi Zhang
Publisher: name: IEEE
Year: 2023

Slides for: SPS Webinar, 15 February 2023, Mr. Wei Liu, Dr. Li Chen and Dr. Wenyi Zhang
Decentralized stochastic gradient descent (SGD) is a driving engine for decentralized federated learning (DFL). The performance of decentralized SGD is jointly influenced by inter-node communications and local updates. This webinar will introduce a general DFL framework, which implements both multiple local updates and multiple inter-node communications periodically, to strike a balance between communication efficiency and model consensus. We will first describe a general system model of DFL, and then present the proposed DFL framework along with several existing learning strategies of DFL. We will show the theoretical convergence performance for the proposed DFL algorithm without the assumption of convex objectives. Furthermore, in this talk we will include a compressed communication scheme based on the proposed DFL framework, named C-DFL, to improve communication efficiency. Finally, we will present experiment results based on MNIST and CIFAR-10 datasets, illustrating the superiority of DFL over traditional decentralized SGD methods and demonstrating that C-DFL further enhances communication efficiency.
Structural and functional characterization of the Fujinami sarcoma virus transforming protein
Creators: name: Weinmaster, Geraldine Ann
Publisher: name: University of British Columbia
Year: 2010

description: The phosphorylation of the Fujinami sarcoma virus transforming protein (FSV P140gag-fps) is complex, reversible and affects its tyrosine specific protein kinase activity and transforming function. The sites of phosphorylation within FSV P140gag-fps have been localized to various regions of the protein using partial proteolysis. The two major phosphotyrosine residues and a major phosphoserine residue are located in the C-terminal portion of the fps region, which contains the kinase active domain. A comparative tryptic phosphopeptide analysis of the gag-fps proteins of three FSV variants shows that the phosphotyrosine containing peptides have similar mobilities. To determine whether tyrosine phosphorylation affects protein function and to evaluate the substrate specificity of the protein kinase intrinsic to FSV P130gag-fps oligonucleotide-directed mutagenesis was used to change tyrosine-1073, the major site of P130gag-fps phosphorylation. Tyrosine-1073 was mutated to a phenylalanine and a glycine, amino acids that cannot be phosphorylated, and to the other commonly phosphorylated hydroxyamino acids, serine and threonine. Neither serine nor threonine were phosphorylated when substituted for tyrosine-1073 indicating a strict specificity for and oncogenic capacities. These data indicate that tyrosine phosphorylation stimulates the biochemical and biological activities of FSV P130gag-fps and suggest that tyrosine phosphorylation modulates protein function. Mutations within the putative ATP-binding site of P130gag-fps at lysine-950 destroy both its kinase and transforming activities, supporting the idea that the tyrosine kinase activity intrinsic to P130gag-fps is essential for its transforming function. The mutant protein was also shown to be phosphorylated at a second tyrosine site, which has been previously identified in wild-type P130gag-fps as a site exclusively phosphorylated in vivo. Phosphorylation of secondary tyrosine residues within a mutant protein devoid of intrinsic tyrosine protein kinase activity suggests that the FSV P130gag-fps may be a target for phosphorylation by cellular tyrosine specific protein kinases.
Merger Histories and Environments of Dwarf AGN in IllustrisTNG
Creators: name: Kristensen, Mikkel T
name: Pimbblet, Kevin
name: Gibson, Brad
name: Penny, Samantha
name: Koudmani, Sophie
Publisher: name: arXiv
Year: 2021
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The relationship between active galactic nuclei activity and environment has been long discussed, but it is unclear if these relations extend into the dwarf galaxy mass regime -- in part due to the limits in both observations and simulations. We aim to investigate if the merger histories and environments are significantly different between AGN and non-AGN dwarf galaxies in cosmological simulations, which may be indicative of the importance of these for AGN activity in dwarf galaxies, and whether these results are in line with observations. Using the IllustrisTNG flagship TNG100-1 run, 6\,771 dwarf galaxies are found with 3\,863 ($\sim$57 per cent) having some level of AGN activity. In order to quantify `environment', two measures are used: 1) the distance to a galaxy's 10th nearest neighbour at 6 redshifts and 2) the time since last merger for three different minimum merger mass ratios. A similar analysis is run on TNG50-1 and Illustris-1 to test for the robustness of the findings. Both measures yield significantly different distributions between AGN and non-AGN galaxies; more non-AGN than AGN galaxies have long term residence in dense environments while recent ($\leq 4 \text{ Gyr}$) minor mergers are more common for intermediate AGN activity. While no statements are made about the micro- or macrophysics from these results, it is nevertheless indicative of a non-neglible role of mergers and environments.
description: 24 pages, 16 figures, accepted for publication in ApJ
γ Background Reduction in 0νββ Searches with Organic Compound Holder
Creators: name: Ghislandi, Stefano
name: Biassoni, Matteo
name: Brofferio, Chiara
name: Faverzani, Marco
name: Ferri, Elena
name: Nutini, Irene
name: Pozzi, Stefano
name: Quitadamo, Simone
Publisher: name: Zenodo
Year: 2021
Subjects: Neutrino Masses and Mixing - Double Beta Decays and Neutrino

description: Parallel Flash Talk at the
 "XIX International Workshop on Neutrino Telescopes"
 on line - 18-26 February, 2021
The quark-gluon plasma, turbulence, and quantum mechanics
Creators: name: Davidson, Mark
Publisher: name: arXiv
Year: 2008
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quark-gluon plasmas formed in heavy ion collisions at high energies are well described by ideal classical fluid equations with nearly zero viscosity. It is believed that a similar fluid permeated the entire universe at about three microseconds after the big bang. The estimated Reynolds number for this quark-gluon plasma at 3 microseconds is approximately 10^19. The possibility that quantum mechanics may be an emergent property of a turbulent proto-fluid is tentatively explored. A simple relativistic fluid equation which is consistent with general relativity and is based on a cosmic dust model is studied. A proper time transformation transforms it into an inviscid Burgers equation. This is analyzed numerically using a spectral method. Soliton-like solutions are demonstrated for this system, and these interact with the known ergodic behavior of the fluid to yield a stochastic and chaotic system which is time reversible. Various similarities to quantum mechanics are explored.
description: 41 pages. Content changes in the azimuthal soliton section
April - Are Microgrids Still a Thing?: Part 1
Creators: Danny Espin-Sarzosa
Rodrigo Palma-Behnke
Marcia Montedonico
and Felipe Valencia-Arroyave
Jose Luis Dominguez-Garcia
Antonio Pepiciello
Pol Paradell
and Anzhelika Ivanova
Vikas Khare and Pradyumn Chaturvedi
Publisher: name: IEEE
Year: 2023

Bulletin
This is the first issue of the Smart Grid Bulletin titled "Are Microgrids Still a Thing?" featuring "New Deployments in Microgrids: Small Productive Processes", "Dynamic Microgrids for Strengthening Power System Resilience", and "Microgrid system with Circular Economy and Blockchain".
Affordable low-cost housing and community  Assessing Economic and Health impact
Creators: name: J-MOUM., Kholoud Jamal
Publisher: name: EQA - International Journal of Environmental Quality
Year: 2019
Subjects: low-cost; housing; economic; healthy; sustainable; urban; population

description: With the rapid increase in the world population, it became a necessity to exert more efforts to cover the, relatively, increasing demands. One of the most important needs is housing. As a fundamental human right, and a shelter from the external environmental threats, housing is taking a great concern from governments, investors, organizations, and individuals. The aim of this paper is to find the best way to establish low-cost houses regarding community assessing economic and health impact. In order to do so, I started gathering, summarizing, and comparing several papers that interpret the same issue from different points of views, presenting the different elements they dealt with. Moreover, proposing some solutions to make it more achievable in Saudi Arabia and to fill the gaps existed, linking between them, the solutions, and the newly appeared, followed, and spotlight events like suitability. Eventually, concluding with the discussion that will help to reach sustainable, affordable, economic, healthy low-cost housing, followed by an example that applies the final discussion results and conclusion.
description: EQA - International Journal of Environmental Quality, Vol 35 (2019)
Molecular Line Emission from Massive Protostellar Disks: Predictions for ALMA and the EVLA
Creators: name: Krumholz, Mark R.
name: Klein, Richard I.
name: McKee, Christopher F.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We compute the molecular line emission of massive protostellar disks by solving the equation of radiative transfer through the cores and disks produced by the recent radiation-hydrodynamic simulations of Krumholz, Klein, & McKee. We find that in several representative lines the disks show brightness temperatures of hundreds of Kelvin over velocity channels ~10 km s^-1 wide, extending over regions hundreds of AU in size. We process the computed intensities to model the performance of next-generation radio and submillimeter telescopes. Our calculations show that observations using facilities such as the EVLA and ALMA should be able to detect massive protostellar disks and measure their rotation curves, at least in the nearest massive star-forming regions. They should also detect significant sub-structure and non-axisymmetry in the disks, and in some cases may be able to detect star-disk velocity offsets of a few km s^-1, both of which are the result of strong gravitational instability in massive disks. We use our simulations to explore the strengths and weaknesses of different observational techniques, and we also discuss how observations of massive protostellar disks may be used to distinguish between alternative models of massive star formation.
description: 15 pages, 9 figures, emulateapj format, accepted for publication in ApJ. Resolution of figures severely degraded to fit within size limits. Download the full paper from http://www.astro.princeton.edu/~krumholz/recent.html
Search for light exotic fermions in double-beta decay
Creators: name: Bossio, Elisabetta
name: Agostini, Matteo
name: Ibarra, Alejandro
name: Marcano, Xabier
Publisher: name: Zenodo
Year: 2021
Subjects: Neutrino Masses and Mixing - Double Beta Decays and Neutrino

description: Parallel Flash Talk at the
 "XIX International Workshop on Neutrino Telescopes"
 on line - 18-26 February, 2021
Higher-order percolation processes on multiplex hypergraphs
Creators: name: Sun, Hanlin
name: Bianconi, Ginestra
Publisher: name: arXiv
Year: 2021
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Social and Information Networks (cs.SI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Higher order interactions are increasingly recognised as a fundamental aspect of complex systems ranging from the brain to social contact networks. Hypergraph as well as simplicial complexes capture the higher-order interactions of complex systems and allow to investigate the relation between their higher-order structure and their function. Here we establish a general framework for assessing hypergraph robustness and we characterize the critical properties of simple and higher-order percolation processes. This general framework builds on the formulation of the random multiplex hypergraph ensemble where each layer is characterized by hyperedges of given cardinality. We reveal the relation between higher-order percolation processes in random multiplex hypergraphs, interdependent percolation of multiplex networks and K-core percolation. The structural correlations of the random multiplex hypergraphs are shown to have a significant effect on their percolation properties. The wide range of critical behaviors observed for higher-order percolation processes on multiplex hypergraphs elucidates the mechanisms responsible for the emergence of discontinuous transition and uncovers interesting critical properties which can be applied to the study of epidemic spreading and contagion processes on higher-order networks.
description: 17 pages, 13 figures