cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 3 of Which is the best transcranial direct current stimulation protocol for migraine prevention? A systematic review and critical appraisal of randomized controlled trials
Creators: name: Ornello, Raffaele
name: Caponnetto, Valeria
name: Ratti, Susanna
name: D’Aurizio, Giulia
name: Rosignoli, Chiara
name: Pistoia, Francesca
name: Ferrara, Michele
name: Sacco, Simona
name: D’Atri, Aurora
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 3. Risk of bias analysis.
Optimal Reconfiguration and Resilient Control Framework for Real-Time Photovoltaic Dispatch to Manage Critical Infrastructure Session 2 (Slides)
Creators: Sukumar Kamalasadan
Sukumar Brahma
Sudipta Chakraborty
Publisher: name: IEEE
Year: 2022

In this webinar we will discuss the DOE project related to Optimal Reconfiguration and Resilient Control Framework for Real-Time Photovoltaic Dispatch to Manage Critical Infrastructure (ReDis-PV). The project will develop a grid management tool that detects cyber and physical threats, and forms dynamic clusters to optimally manage photovoltaic and energy. The core of the project that allows management and control of DERs to support critical infrastructure is the main theme of the presentation. The webinar includes the technical details and overall implementation methods.
In this webinar we will discuss the DOE project related to Optimal Reconfiguration and Resilient Control Framework for Real-Time Photovoltaic Dispatch to Manage Critical Infrastructure (ReDis-PV). The project will develop a grid management tool that detects cyber and physical threats, and forms dynamic clusters to optimally manage photovoltaic and energy. The core of the project that allows management and control of DERs to support critical infrastructure is the main theme of the presentation. The webinar includes the technical details and overall implementation methods.
FAST early pulsar discoveries: Effelsberg follow-up
Creators: name: Cruces, M.
name: Champion, D. J.
name: Li, D.
name: Kramer, M.
name: Zhu, W. W.
name: Wang, P.
name: Cameron, A. D.
name: Chen, Y. T.
name: Hobbs, G.
name: Freire, P. C. C.
name: Graikou, E.
name: Krco, M.
name: Liu, Z. J.
name: Miao, C. C.
name: Niu, J.
name: Pan, Z. C.
name: Qian, L.
name: Xue, M. Y.
name: Xie, X. Y.
name: You, S. P.
name: Yu, X. H.
name: Yuan, M.
name: Yue, Y. L.
name: Zhu, Y.
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We report the follow-up of 10 pulsars discovered by the Five-hundred-meter Aperture Spherical radio-Telescope (FAST) during its commissioning. The pulsars were discovered at a frequency of 500-MHz using the ultra-wide-band (UWB) receiver in drift-scan mode, as part of the Commensal Radio Astronomy FAST Survey (CRAFTS). We carried out the timing campaign with the 100-m Effelsberg radio-telescope at L-band around 1.36 GHz. Along with 11 FAST pulsars previously reported, FAST seems to be uncovering a population of older pulsars, bordering and/or even across the pulsar death-lines. We report here two sources with notable characteristics. PSR J1951$+$4724 is a young and energetic pulsar with nearly 100% of linearly polarized flux density and visible up to an observing frequency of 8 GHz. PSR J2338+4818, a mildly recycled pulsar in a 95.2-d orbit with a Carbon-Oxygen white dwarf (WD) companion of $\gtrsim 1\rm{M}_{\odot}$, based on estimates from the mass function. This system is the widest WD binary with the most massive companion known to-date. Conspicuous discrepancy was found between estimations based on NE2001 and YMW16 electron density models, which can be attributed to under-representation of pulsars in the sky region between Galactic longitudes $70^o
Additional file 1 of A large National Institute for Health Research (NIHR) Biomedical Research Centre facilitates impactful cross-disciplinary and collaborative translational research publications and research collaboration networks: a bibliometric evaluation study
Creators: name: Kiparoglou, Vasiliki
name: Brown, Laurence A.
name: McShane, Helen
name: Channon, Keith M.
name: Shah, Syed Ghulam Sarwar
Publisher: name: figshare
Year: 2021
Subjects: Medicine
Science Policy

description: Additional file 1: Box S1. Research themes and working groups. Figure S1. Notebooks for analysis.
Electrification of Commerical Freight Trucks-Slides
Creators: Dave Schaller
Publisher: name: IEEE
Year: 2022

TEC Webinar Slides
Abstract: NACFE conducted their third Run on Less benchmarking demonstration in 2021 and it focused only on battery electric commercial freight trucks. There were 13 different OEMs and models of trucks operating in the hands of real fleets doing their normal daily work all over the United States and Canada. Each of the trucks was equipped with telematics reporting to NACFE to monitor daily operations. There is also an EV Truck Bootcamp series of 10 recorded webinars with dozens of experts talking about everything including incentives-grants, charging stations, utility companies, and even recycling batteries. All of this is available at no charge at Run on Less (Presented by NACFE and RMI)

Additionally, NACFE has been studying electric trucks for several years and has an extensive collection of reports to help both the logistics and utility industries: Electric Trucks - North American Council for Freight Efficiency (nacfe.org)

This webinar will be extremely helpful to a wide audience looking to become more sustainable with zero emissions commercial vehicles.
Brightness temperature constraints on coherent processes in magnetospheres of neutron stars
Creators: name: Lyutikov, Maxim
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We discuss constraints that the observed brightness temperatures impose on coherent processes in pulsars and Fast Radio Bursts (FRBs), and in particular on the hypothesis of coherent curvature emission by bunches. We estimate the peak brightness temperature that a bunch of charge $Ze$ can produce via synchrotron and/or curvature emission as $k_B T \sim (Z e)^2/λ$, where $λ$ is the typical emitted wavelength. We demonstrate that the bunch's electrostatic energy required to produce observed brightness temperature is prohibitively high, of the order of the total {\it bulk } energy. We compare corresponding requirements for the Free Electron Laser mechanism (Lyutikov 2021) and find that in that case the constraints are much easier satisfied.
Slides for: Model-Driven Deep Learning for MIMO Detection
Creators: Dr. Hengtao He
Publisher: name: IEEE
Year: 2022

Slides for: SPS Webinar, April 12, 2022, Dr. Hengtao He
In this talk, we investigate the model-driven deep learning for multiple input-multiple output (MIMO) detection. In particular, the MIMO detector is specially designed by unfolding an iterative algorithm and adding some trainable parameters. because the number of trainable parameters is much fewer than the data-driven deep-learning-based signal detector, the model-driven deep-learning-based MIMO detector can be rapidly trained with a much smaller data set. The proposed MIMO detector can be extended to soft input-soft output detection easily. Furthermore, we investigate joint MIMO channel estimation and signal detection, where the detector takes channel estimation error and channel statistics into consideration, while channel estimation is refined by detected data and considers the detection error. Based on numerical results, the model-driven deep-learning-based MIMO detector significantly improves the performance of corresponding traditional iterative detectors, outperforms other deep-learning-based MIMO detectors and exhibits superior robustness to various mismatches.
April - Knowledge-based Economy in Smart Cities
Creators: Eleni Mangina and Fridolin Wild
Mohammad Upal Mahfuz
Patrick Yegon
Isaac Wainaina
Kithinji Muriungi
Kiyeng Chumo
and David Mulongo
Publisher: name: IEEE
Year: 2022

Newsletter
This is an issue on Knowledge-based Economy in Smart Cities featuring a foreword by Kithinji Muriungi, "Empowering education with XR technology in smart cities," "Developing Smart Cities Courses in Undergraduate Curricula: Engineering and Beyond," "Smart Education for Smart Cities," and "STEM Vs STEaM Approach Dilemma in the Innovation Ecosystem for Smart Cities Sustainability"
Superfilters, Ramsey theory, and van der Waerden's Theorem
Creators: name: Samet, Nadav
name: Tsaban, Boaz
Publisher: name: arXiv
Year: 2008
Subjects: subject: Combinatorics (math.CO)
subject: Dynamical Systems (math.DS)
subject: General Topology (math.GN)
subject: FOS: Mathematics

description: Superfilters are generalized ultrafilters, which capture the underlying concept in Ramsey theoretic theorems such as van der Waerden's Theorem. We establish several properties of superfilters, which generalize both Ramsey's Theorem and its variant for ultrafilters on the natural numbers. We use them to confirm a conjecture of Kočinac and Di Maio, which is a generalization of a Ramsey theoretic result of Scheepers, concerning selections from open covers. Following Bergelson and Hindman's 1989 Theorem, we present a new simultaneous generalization of the theorems of Ramsey, van der Waerden, Schur, Folkman-Rado-Sanders, Rado, and others, where the colored sets can be much smaller than the full set of natural numbers.
description: Among other things, the results of this paper imply (using its one-dimensional version) a higher-dimensional version of the Green-Tao Theorem on arithmetic progressions in the primes. The bibliography is now updated
Dispersion enhancement and damping by buoyancy driven flows in 2D networks of capillaries
Creators: name: D'Angelo, Maria Veronica
name: Auradou, Harold
name: Allain, Catherine
name: Rosen, Marta
name: Hulin, Jean-Pierre
Publisher: name: arXiv
Year: 2008
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The influence of a small relative density difference on the displacement of two miscible liquids is studied experimentally in transparent 2D networks of micro channels. Both stable displacements in which the denser fluid enters at the bottom of the cell and displaces the lighter one and unstable displacements in which the lighter fluid is injected at the bottom and displaces the denser one are realized. Except at the lowest mean flow velocity U, the average $C(x,t)$ of the relative concentration satisfies a convection-dispersion equation. The dispersion coefficient is studied as function of the relative magnitude of fluid velocity and of the velocity of buoyancy driven fluid motion. A model is suggested and its applicability to previous results obtained in 3D media is discussed.
Higher-Order Calculus of Variations on Time Scales
Creators: name: Ferreira, Rui A. C.
name: Torres, Delfim F. M.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Optimization and Control (math.OC)
subject: Classical Analysis and ODEs (math.CA)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 39A12; 49K05

description: We prove a version of the Euler-Lagrange equations for certain problems of the calculus of variations on time scales with higher-order delta derivatives.
description: Corrected minor typos
Additional file 1 of Brain injury, endothelial injury and inflammatory markers are elevated and express sex-specific alterations after COVID-19
Creators: name: Savarraj, Jude
name: Park, Eun S.
name: Colpo, Gabriela D.
name: Hinds, Sarah N.
name: Morales, Diego
name: Ahnstedt, Hilda
name: Paz, Atzhiry S.
name: Assing, Andres
name: Liu, Fudong
name: Juneja, Shivanki
name: Kim, Eunhee
name: Cho, Sung-min
name: Gusdon, Aaron M.
name: Dash, Pramod
name: McCullough, Louise D.
name: Choi, H. Alex
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology

description: Additional file 1. Protein differences (non-significant) in COVID-19 vs Controls, sex (within COVID-19 subjects) and across COVID-19 severity.
Slides for: Protection of DC Microgrids: Fault Detection and Location
Creators: Navid Bayati
Publisher: name: IEEE
Year: 2022

Slides for the Webinar Protection of DC Microgrids: Fault Detection and Location
The recent years have manifested considerable interest in the novel Microgrids and it increases the challenges related to the protection of these systems. Microgrids are an energy-efficient solution for applications where the majority of electronic loads are local, and the power is produced locally by PV arrays, wind turbines, or fuel cells. Due to the increasing penetration of DC loads and renewable energy sources (RESs) in recent years, utilizing DC systems could provide a more efficient power system due to the lack of skin effect, reduced power conversion stages, and lower line lengths. With the recent developments in power electronic devices, hybrid energy storage, RESs, and smart homes, the DC microgrids have immerged as an essential element for future power systems. However, due to the strict time limits for fault interruption caused by fast high rising fault currents in DC systems, DC microgrid clusters' protection remains a challenging task These developments lead to the integration of Microgrids to the existed networks. This webinar will cover theoretical and experimental progress in the designing of the protection system, fault detection, and location, for DC Microgrids, and analyzing the fault impact on these systems.
Optimized Planar Microwave Antenna for Nitrogen Vacancy Center based Sensing Applications
Creators: name: Opaluch, Oliver Roman
name: Oshnik, Nimba
name: Nelz, Richard
name: Neu, Elke
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Other Condensed Matter (cond-mat.other)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Individual nitrogen vacancy (NV) color centers in diamond are versatile, spin-based quantum sensors. Coherently controlling the spin of NV centers using microwaves in a typical frequency range between 2.5 and 3.5 GHz is necessary for sensing applications. In this work, we present a stripline-based, planar, Ω-shaped microwave antenna that enables to reliably manipulate NV spins. We find an optimal antenna design using finite integral simulations. We fabricate our antennas on low-cost, transparent glass substrate. We demonstrate highly uniform microwave fields in areas of roughly 400 x 400 μm^2 while realizing high Rabi frequencies of up to 10 MHz in an ensemble of NV centers.
Alfvén waves underlying ionospheric destabilization: ground-based observations
Creators: name: Hirsch, Michael
Publisher: name: Zenodo
Year: 2017
Subjects: aurora

description: During geomagnetic storms, terawatts of power in the million mile-per-hour solar wind pierce the Earth's magnetosphere. Geomagnetic storms and substorms create transverse magnetic waves known as Alfven waves. In the auroral acceleration region, Alfven waves accelerate electrons up to one-tenth the speed of light via wave-particle interactions. These inertial Alfven wave (IAW) accelerated electrons are imbued with sub-100 meter structure perpendicular to geomagnetic field B. The IAW electric field parallel to B accelerates electrons up to about 10 keV along B. The IAW dispersion relation quantifies the precipitating electron striation observed with high-speed cameras as spatiotemporally dynamic fine structured aurora. A network of tightly synchronized tomographic auroral observatories using model based iterative reconstruction (MBIR) techniques were developed in this dissertation. The TRANSCAR electron penetration model creates a basis set of monoenergetic electron beam eigenprofiles of auroral volume emission rate for the given location and ionospheric conditions. Each eigenprofile consists of nearly 200 broadband line spectra modulated by atmospheric attenuation, bandstop filter and imager quantum efficiency. The L-BFGS-B minimization routine combined with sub-pixel registered electron multiplying CCD video stream at order 10 ms cadence yields estimates of electron differential number flux at the top of the ionosphere. Our automatic data curation algorithm reduces one terabyte/camera/day into accurate MBIR-processed estimates of IAW-driven electron precipitation microstructure. This computer vision structured auroral discrimination algorithm was developed using a multiscale dual-camera system observing a 175 km and 14 km swath of sky simultaneously. This collective behavior algorithm exploits the "swarm" behavior of aurora, detectable even as video SNR approaches zero. A modified version of the algorithm is applied to topside ionospheric radar at Mars and broadcast FM passive radar. The fusion of data from coherent radar backscatter and optical data at order 10 ms cadence confirms and further quantifies the relation of strong Langmuir turbulence and streaming plasma upflows in the ionosphere with the finest spatiotemporal auroral dynamics associated with IAW acceleration. The software programs developed in this dissertation solve the century-old problem of automatically discriminating finely structured aurora from other forms and pushes the observational wave-particle science frontiers forward.
Additional file 1 of A new phenotypic classification system for dyslipidemias based on the standard lipid panel
Creators: name: Sampson, Maureen
name: Ballout, Rami A.
name: Soffer, Daniel
name: Wolska, Anna
name: Wilson, Sierra
name: Meeusen, Jeff
name: Donato, Leslie J.
name: Fatica, Erica
name: Otvos, James D.
name: Brinton, Eliot A.
name: Rosenson, Robert S.
name: Wilson, Peter
name: Amar, Marcelo
name: Shamburek, Robert
name: Karathanasis, Sotirios K.
name: Remaley, Alan T.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Computational Biology

description: Additional file 1: Supplemental Figure S1. Flowchart for criteria for new lipoprotein phenotype classification. Using the indicated TG and NonHDL-C decision rules, all Fredrickson phenotypes can be identified except Type III by new classification system.
title: Dehumanization of stigmatized targets of ostracism
Creators: name: Dvir, Maayan
name: Nagar, Maayan Beeri
Publisher: name: OSF Registries
Year: 2023
Subjects: subject: Social Psychology
subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology
subject: Dehumanization
subject: Drug addicts
subject: Ostracism
subject: Sexual Assault
subject: Stigma
subject: Victim Blaming

description: This registration includes the materials and data that accompany the manuscript published in the Journal of Social Psychology.

The study explored people’s reactions to observing the ostracism of stigmatized targets. Participants (n=198) who observed ostracism experienced need threat regardless of the target's identity. Participants regarded included addicts more positively than ostracized addicts, especially on traits that are considered unique to humans. As for dehumanization, subtle measures demonstrate that ostracized targets are perceived as less human. In contrast, our original measure of blatant dehumanization suggests that targets of ostracism are perceived as more human. The study stresses the inconsistency between dehumanization measurements and the need to specify what each measure taps into and how each contributes to the theory.
Symbiotic solitons in a quasi-one- and quasi-two-dimensional spin-1 condensates
Creators: name: Adhikari, S K
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: We study the formation of spin-1 symbiotic spinor solitons in a quasi-one- (quasi-1D) and quasi-two-dimensional (quasi-2D) hyper-fine spin $F=1$ ferromagnetic Bose-Einstein condensate (BEC). The symbiotic solitons necessarily have a repulsive intraspecies interaction and are bound due to an attractive interspecies interaction. Due to a collapse instability in higher dimensions, an additional spin-orbit coupling is necessary to stabilize a quasi-2D symbiotic spinor soliton. Although a quasi-1D symbiotic soliton has a simple Gaussian-type density distribution, novel spatial periodic structure in density is found in quasi-2D symbiotic SO-coupled spinor solitons. For a weak SO coupling, the quasi-2D solitons are of the $(-1, 0, +1)$ or $(+1, 0, -1)$ type with intrinsic vorticity and multi-ring structure, for Rashba or Dresselhaus SO coupling, respectively, where the numbers in the parentheses are angular momenta projections in spin components $F_z = +1, 0, -1$, respectively. For a strong SO coupling, stripe and superlattice solitons, respectively, with a stripe and square-lattice modulation in density, are found in addition to the multi-ring solitons. The stationary states were obtained by imaginary-time propagation of a mean-field model; dynamical stability of the solitons was established by real-time propagation over a long period of time. The possibility of the creation of such a soliton by removing the trap of a confined spin-1 BEC in a laboratory is also demonstrated.
Slides for: A Framework of Robust Transmission Design for IRS-Aided MISO Communications with Imperfect Cascaded Channels
Creators: Dr. Cunhua Pan
Gui Zhou (slides)
Publisher: name: IEEE
Year: 2022

Slides for: SPS Webinar, April 27, 2022, Dr. Cunhua Pan, Gui Zhou (slides)
Intelligent reflection surface (IRS) has recently been recognized as a promising technique to enhance the performance of wireless systems due to its ability of reconfiguring the signal propagation environment. However, the perfect channel state information (CSI) is challenging to obtain at the base station (BS) due to the lack of radio frequency (RF) chains at the IRS. Because most of the existing channel estimation methods were developed to acquire the cascaded BS-IRS-user channels, this talk is the first work to study the robust beamforming based on the imperfect cascaded BS-IRS-user channels at the transmitter (CBIUT). Specifically, the transmit power minimization problems are formulated subject to the worst-case rate constraints under the bounded CSI error model and the rate outage probability constraints under the statistical CSI error model, respectively. After approximating the worst-case rate constraints by using the S-procedure and the rate outage probability constraints by using the Bernstein-type inequality, the reformulated problems can be efficiently solved. Numerical results show that the negative impact of the CBIUT error on the system performance is greater than that of the direct CSI error.number of trainable parameters is much fewer than the data-driven deep-learning-based signal detector, the model-driven deep-learning-based MIMO detector can be rapidly trained with a much smaller data set. The proposed MIMO detector can be extended to soft input-soft output detection easily. Furthermore, we investigate joint MIMO channel estimation and signal detection, where the detector takes channel estimation error and channel statistics into consideration, while channel estimation is refined by detected data and considers the detection error. Based on numerical results, the model-driven deep-learning-based MIMO detector significantly improves the performance of corresponding traditional iterative detectors, outperforms other deep-learning-based MIMO detectors and exhibits superior robustness to various mismatches.
Algebraically Special, Real Alpha Geometries
Creators: name: Law, Peter R.
name: Matsushita, Yasuo
Publisher: name: arXiv
Year: 2008
Subjects: subject: Differential Geometry (math.DG)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 53B30, 53C27, 53C50

description: We exploit the spinor description of four-dimensional Walker geometry, and conformal rescalings of such, to describe the local geometry of four-dimensional neutral geometries with algebraically degenerate self-dual Weyl curvature and an integrable distribution of alpha-planes (algebraically special real alpha-geometry). In particular, we determine the behaviour of (four-dimensional neutral) Walker geometry under conformal rescalings and provide a derivation of the hyperheavenly equation from conformal rescaling formulae.
description: 27 pages; v3 of 9 Sep 2011 replaces earlier versions, correcting minor typographical errors. The published version is slightly abbreviated
Additional file 2 of A new phenotypic classification system for dyslipidemias based on the standard lipid panel
Creators: name: Sampson, Maureen
name: Ballout, Rami A.
name: Soffer, Daniel
name: Wolska, Anna
name: Wilson, Sierra
name: Meeusen, Jeff
name: Donato, Leslie J.
name: Fatica, Erica
name: Otvos, James D.
name: Brinton, Eliot A.
name: Rosenson, Robert S.
name: Wilson, Peter
name: Amar, Marcelo
name: Shamburek, Robert
name: Karathanasis, Sotirios K.
name: Remaley, Alan T.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Computational Biology

description: Additional file 2: Supplemental Figure S2. Comparison of apoB versus NonHDL-C. Linear least squares regression analysis of apoB versus NonHDL-C in NHANES (N=13,086). Dotted lines indicate equivalent cut-points for both variables.
Supersymmetric Flavor-Changing Sum Rules as a Tool for b -> s gamma
Creators: name: Dudley, Brian
name: Kolda, Christopher
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The search for supersymmetry (SUSY) and other classes of new physics will be tackled on two fronts, with high energy, direct detection machines, and in high precision experiments searching for indirect signatures. While each of these methods has its own strengths, even more can be gained by finding ways to combine their results. In this paper, we examine one way of bridging these two types of experiments by calculating sum rules which link physical squark masses to the flavor-violating squark mixings. These sum rules are calculated for minimally flavor-violating SUSY theories at both high and low tan(beta). We also explore how the sum rules could help to disentangle the relative strengths of different SUSY contributions to b -> s gamma, a favored channel for indirect searches of new physics. Along the way, we show that the gluino contributions to b -> s gamma can be very sizable at large tan(beta).
description: 27 pages, 3 figures
Three-point correlations for quantum star graphs
Creators: name: Chabanol, Marie-Line
Publisher: name: arXiv
Year: 2007
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We compute the three point correlation function for the eigenvalues of the Laplacian on quantum star graphs in the limit where the number of edges tends to infinity. This extends a work by Berkolaiko and Keating, where they get the 2-point correlation function and show that it follows neither Poisson, nor random matrix statistics. It makes use of the trace formula and combinatorial analysis.
description: 10 pages, 2 figures
Cosmological constant in a quantum fluid model
Creators: name: Sanchez-Monroy, J. A.
name: Quimbay, C. J.
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Possible analogies between vacuum state and quantum fluid provide a model to study vacuum energy density induced by thermal corrections, space-time curvature, boundary conditions and quantum back-reaction. We find that vacuum energy density in this quantum fluid model is not naturally of the order of the matter energy density. We show how higher-order corrections in quantum back-reaction can also contribute to vacuum energy density, and how the cosmological expansion is a manifestation of an universe out of mechanical equilibrium. This last fact implies that simple thermodynamic arguments are not enough to explain the cosmological constant problem due to the calculation of the associated vacuum energy density requires first the knowing of the underlying microscopic physics of vacuum.
description: Latex file, 12 pages, some references added, typos corrected
Additional file 3 of A new phenotypic classification system for dyslipidemias based on the standard lipid panel
Creators: name: Sampson, Maureen
name: Ballout, Rami A.
name: Soffer, Daniel
name: Wolska, Anna
name: Wilson, Sierra
name: Meeusen, Jeff
name: Donato, Leslie J.
name: Fatica, Erica
name: Otvos, James D.
name: Brinton, Eliot A.
name: Rosenson, Robert S.
name: Wilson, Peter
name: Amar, Marcelo
name: Shamburek, Robert
name: Karathanasis, Sotirios K.
name: Remaley, Alan T.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Computational Biology

description: Additional file 3: Supplemental Figure S3. NMR lipoprotein particle parameters for HDL. Samples in NIH database (N=11,365) were analyzed by NMR for (A) total HDL-P, (B) Large-medium HDL, (C) small HDL, and (D) % small HDL-P. Capital letters indicate differences in group means as determined by ANOVA.
A large octupole magnetic trap for research with atomic hydrogen
Creators: name: Ahokas, J.
name: Semakin, A.
name: Järvinen, J.
name: Hanski, O.
name: Laptiyenko, A.
name: Dvornichenko, V.
name: Salonen, K.
name: Burkley, Z.
name: Crivelli, P.
name: Golovizin, A.
name: Nesvizhevsky, V.
name: Nez, F.
name: Yzombard, P.
name: Widmann, E.
name: Vasiliev, S.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: We describe the design and performance of a large magnetic trap for storing and cooling of atomic hydrogen (H). The trap operates in the vacuum space of a dilution refrigerator at a temperature of 1.5 K. Aiming at a large volume of the trap we implemented the octupole configuration of linear currents (Ioffe bars) for the radial confinement, combined with two axial pinch coils and a 3 T solenoid for the cryogenic H dissociator. The octupole magnet consists of eight race-track segments which are compressed towards each other with magnetic forces. This provides a mechanically stable and robust construction with a possibility of replacement or repair of each segment. A maximum trap depth of 0.54 K (0.8 T) was reached, corresponding to an effective volume of 0.5 liters for hydrogen gas at 50 mK. This is an order of magnitude larger than ever used for trapping atoms.
Shear thickening of cornstarch suspensions as a re-entrant jamming transition
Creators: name: Fall, Abdoulaye
name: Huang, N.
name: Bertrand, F.
name: Ovarlez, G.
name: Bonn, Daniel
Publisher: name: arXiv
Year: 2007
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study the rheology of cornstarch suspensions, a dense system of non-Brownian particles that exhibits shear thickening, i.e. a viscosity that increases with increasing shear rate. Using MRI velocimetry we show that the suspension has a yield stress. From classical rheology it follows that as a function of the applied stress the suspension is first solid (yield stress), then liquid and then solid again when it shear thickens. The onset shear rate for thickening is found to depend on the measurement geometry: the smaller the gap of the shear cell, the lower the shear rate at which thickening occurs. Shear thickening can then be interpreted as the consequence of the Reynolds dilatancy: the system under flow wants to dilate but instead undergoes a jamming transition because it is confined, as confirmed by measurement of the dilation of the suspension as a function of the shear rate.
New Opportunities in mm-Wave Radar and Imaging Slides
Creators: Brian Ginsburg
Publisher: name: IEEE
Year: 2022

Webinar Slides
Abstract: Millimeter-wave frequency operation offers wide bandwidths, precise localization, and rich material interaction and penetration capability. Meeting consumer demand for enhanced safety and one of the essential sensing technologies for highly automated radar, 77GHz automotive radar is rapidly growing and evolving. Leveraging the dense integration and fast transistor performance of modern silicon processes, emerging MMICs are delivering higher performance in a smaller form factor and are also extending the mm-wave capabilities to other sensing markets. Radar’s next frontier is to significantly enhance resolution and move beyond simply detecting moving vehicles. This talk will cover these application trends and how they are enabled by emerging radar ICs.

Bio: Brian Ginsburg received his B.S., M.Eng., and Ph.D. degrees from the Massachusetts Institute of Technology. He joined Texas Instruments, Dallas, Texas in 2007 working in its wireless business and TI’s Kilby Labs. Now, he is a Distinguished Member of Technical Staff and the systems manager of TI’s radar business. He has served on the technical program committee for the International Solid-State Circuits Symposium and is Symposium Chair of the 2022 Symposium on VLSI Technology and Circuits.
First Order Superfluid to Bose Metal Transition in Systems with Resonant Pairing
Creators: name: Stauber, T.
name: Ranninger, J.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Systems showing resonant superfluidity, driven by an exchange coupling of strength $g$ between uncorrelated pairs of itinerant fermions and tightly bound ones, undergo a first order phase transition as $g$ increases beyond some critical value $g_c$. The superfluid phase for $g \leq g_c$ is characterized by a gap in the fermionic single particle spectrum and an acoustic sound-wave like collective mode of the bosonic resonating fermion pairs inside this gap. For $g>g_c$ this state gives way to a phase uncorrelated bosonic liquid with a $q^2$ spectrum.
description: 5 pages, 3 figures
Impurity Effect on Superconducting Properties in Molecular Substituted Organic Superconductor $κ$-(ET)$_2$Cu(NCS)$_2$
Creators: name: Yoneyama, Naoki
name: Sasaki, Takahiko
name: Oizumi, Hajime
name: Kobayashi, Norio
Publisher: name: arXiv
Year: 2007
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We report an impurity effect in the organic superconductor $κ$-(ET)$_2$Cu(NCS)$_2$ by substitution of the ET molecule with an analogue, bis(methyleneditio)tetrathiafulvalene (MT). The superconducting transition temperature decreases with increasing substitution. The in-plane magnetic penetration depth is enhanced with substitution, which is quantitatively attributed to the decrease in the in-plane mean free path. The enhancement of the penetration depth can also explain the reduction of the effective pinning in terms of the condensation energy.
description: 4 pages, submitted to J. Phys. Soc. Jpn
Computing the viscosity of the QGP on the lattice
Creators: name: Meyer, Harvey B.
Publisher: name: arXiv
Year: 2008
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: I review the recent progress made in calculating shear and bulk viscosity on the lattice, and discuss ways to improve the calculation.
description: 8 pages, 6 figures, proceedings of the "Fundamental Problems in Hot and/or Dense QCD" Symposium, Kyoto University, March 2008
Improving Landslide Detection on SAR Data through Deep Learning
Creators: name: Nava, Lorenzo
name: Monserrat, Oriol
name: Catani, Filippo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences
subject: I.4.8
subject: 65D19

description: In this letter, we use deep-learning convolution neural networks (CNNs) to assess the landslide mapping and classification performances on optical images (from Sentinel-2) and SAR images (from Sentinel-1). The training and test zones used to independently evaluate the performance of the CNNs on different datasets are located in the eastern Iburi subprefecture in Hokkaido, where, at 03.08 local time (JST) on September 6, 2018, an Mw 6.6 earthquake triggered about 8000 coseismic landslides. We analyzed the conditions before and after the earthquake exploiting multi-polarization SAR as well as optical data by means of a CNN implemented in TensorFlow that points out the locations where the Landslide class is predicted as more likely. As expected, the CNN run on optical images proved itself excellent for the landslide detection task, achieving an overall accuracy of 99.20% while CNNs based on the combination of ground range detected (GRD) SAR data reached overall accuracies beyond 94%. Our findings show that the integrated use of SAR data may also allow for rapid mapping even during storms and under dense cloud cover and seems to provide comparable accuracy to classical optical change detection in landslide recognition and mapping.
description: 8 pages, 2 figures, 3 tables
A Meta-Learning Approach to the Optimal Power Flow Problem Under Topology Reconfigurations
Creators: Yexiang Chen
Subhash Lakshminarayana
Carsten Maple
and H. Vincent Poor
Publisher: name: IEEE
Year: 2022

A deep neural network-based optimal power flow predictor is proposed that is trained using a meta-learning approach.
Recently there has been a surge of interest in adopting deep neural networks (DNNs) for solving the optimal power flow (OPF) problem in power systems. Computing optimal generation dispatch decisions using a trained DNN takes significantly less time when compared to conventional optimization solvers. However, a major drawback of existing work is that the machine learning models are trained for a specific system topology. Hence, the DNN predictions are only useful as long as the system topology remains unchanged. Changes to the system topology (initiated by the system operator) would require retraining the DNN, which incurs significant training overhead and requires an extensive amount of training data (corresponding to the new system topology). To overcome this drawback, we propose a DNN-based OPF predictor that is trained using a meta-learning (MTL) approach. The key idea behind this approach is to find a common initialization vector that enables fast training for any system topology. The developed OPF-predictor is validated through simulations using benchmark IEEE bus systems. The results show that the MTL approach achieves significant training speed-ups and requires only a few gradient steps with a few data samples to achieve high OPF prediction accuracy and outperforms other pretraining techniques.
Slides for: Why Smart Cities Must Be Open by Default
Creators: Kris R. Villanueva-Libunao
Publisher: name: IEEE
Year: 2022

Slides for Webinar: Why Smart Cities Must Be Open by Default
The presentation will discuss how communities and cities in emerging markets can leapfrog and sustain their smart city initiatives through an open-by-default approach. It explores the benefits of open source, and open data in the development of smart cities. Finally, the presentation provides the Philippine landscape of smart city initiatives as case studies.
Preliminary data on a test of ability to identify the main ideas of paragraphs in expository material
Creators: name: Small, Terry
Publisher: name: University of British Columbia
Year: 2010

description: The study was designed to collect data on the first and second drafts of a test of ability to recognize the main ideas in paragraphs of expository material. The study required two major steps. The first step was to design and conduct a preliminary study. In the preliminary study twenty-seven grade six and seven students were administered a Main Ideas in Paragraphs Test on three levels, (grades 3/4, 4/5 and 5/6) consisting of four tasks; Choose the Best Title, Choose the Best Question, Write the Question and Write the Main Idea. In the second step, the main study, the Main Ideas in Paragraphs Test was administered to 230 fourth, fifth and seventh grade students in the schools. Scores collected in the study will be used as the data base for further revision of the test.
May - Smart Grid for Smart Cities
Creators: Mihai Mladin
Carlos Silva
Alexandre Lucas
Francisco Silva
and José Miguel Cruz
Sivapriya Mothilal Bhagavathy and Joseph Melone
Charlie Vartanian
Scott Gibson
Hawk Asgeirsson
Siddharth Sridhar
and Ryan Franks
Publisher: name: IEEE
Year: 2022

Bulletin
An issue of the Smart Grid Bulletin featuring "Regulatory support measures for smart grids and promoting flexibility," "DSO Standard Interface for enabling distributed flexibility and grid services," "Smart Street Lights for Smart Cities," and "The Arlington Microgrid Project’s V2G Technical Specification vs V2G Standards"
Chevalley Supergroups
Creators: name: Fioresi, R.
name: Gavarini, F.
Publisher: name: arXiv
Year: 2008
Subjects: subject: Rings and Algebras (math.RA)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics
subject: 14M30, 14A22 (Primary) 58A50, 17B50 (Secondary)

description: In the framework of algebraic supergeometry, we give a construction of the scheme-theoretic supergeometric analogue of Chevalley groups, namely affine algebraic supergroups associated to simple Lie superalgebras of classical type. In particular both basic (even exceptional) and strange cases are covered. This provides a unified approach to most of the algebraic supergroups considered so far in literature, and an effective method to construct new ones. As an intermediate step, we prove an existence theorem for Chevalley bases of simple classical Lie superalgebras and a PBW-like theorem for their associated Kostant superalgebras.
description: La-TeX file, 95 pages. New version revised after correcting the journal's galley proofs. Some key corrections are in pages 31, 32 and 34, concerning the given explicit examples of Chevalley basis in cases B, C, D and P
Physics of Interpulse Emission in Radio Pulsars
Creators: name: Petrova, S. A.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The magnetized induced Compton scattering off the particles of the ultrarelativistic electron-positron plasma of pulsar is considered. The main attention is paid to the transverse regime of the scattering, which holds in a moderately strong magnetic field. We specifically examine the problem on induced transverse scattering of the radio beam into the background, which takes place in the open field line tube of a pulsar. In this case, the radiation is predominantly scattered backwards and the scattered component may grow considerably. Based on this effect, we for the first time suggest a physical explanation of the interpulse emission observed in the profiles of some pulsars. Our model can naturally account for the peculiar spectral and polarization properties of the interpulses. Furthermore, it implies a specific connection of the interpulse to the main pulse, which may reveal itself in the consistent intensity fluctuations of the components at different timescales. Diverse observational manifestations of this connection, including the moding behavior of PSR B1822-09, the peculiar temporal and frequency structure of the giant interpulses in the Crab pulsar, and the intrinsic phase correspondence of the subpulse patterns in the main pulse and the interpulse of PSR B1702-19, are discussed in detail. It is also argued that the pulse-to-pulse fluctuations of the scattering efficiency may lead to strong variability of the interpulse, which is yet to be studied observationally. In particular, some pulsars may exhibit transient interpulses, i.e. the scattered component may be detectable only occasionally.
description: 28 pages, 2 figures. Accepted for publication in ApJ
Asymptotic behavior of the smallest eigenvalue of matrices associated with completely even functions (mod r)
Creators: name: Hong, Shaofang
name: Loewy, Raphael
Publisher: name: arXiv
Year: 2008
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11C20, 11A05, 15A36

description: In this paper we present systematically analysis on the smallest eigenvalue of matrices associated with completely even functions (mod $r$). We obtain several theorems on the asymptotic behavior of the smallest eigenvalue of matrices associated with completely even functions (mod $r$). In particular, we get information on the asymptotic behavior of the smallest eigenvalue of the famous Smith matrices. Finally some examples are given to demonstrate the main results.
description: 23 pages. To appear in International Journal of Number Theory
Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks
Creators: name: Mittags, Gabriel
name: Möller, Sebastian
Publisher: name: arXiv
Year: 2021
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In this paper, we present a full-reference speech quality prediction model with a deep learning approach. The model determines a feature representation of the reference and the degraded signal through a siamese recurrent convolutional network that shares the weights for both signals as input. The resulting features are then used to align the signals with an attention mechanism and are finally combined to estimate the overall speech quality. The proposed network architecture represents a simple solution for the time-alignment problem that occurs for speech signals transmitted through Voice-Over-IP networks and shows how the clean reference signal can be incorporated into speech quality models that are based on end-to-end trained neural networks.
description: Late upload, presented at ICASSP 2020
Revisiting Signature of Minimal Gauge Mediation
Creators: name: Hisano, Junji
name: Shimizu, Yasuhiro
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We revisit phenomenology of the minimal gauge-mediated model. This model is motivated from the SUSY CP and flavor problems. A specific feature of this model is that \tanβis naturally large, since the B term in the Higgs potential is zero at the messenger scale. This leads to significant SUSY contributions to various low-energy observables. We evaluate the anomalous magnetic moment of the muon and the branching ratio of \bar{B}\to X_sγtaking account of recent theoretical and experimental developments. We find that the current experimental data prefer a low messenger scale (\sim 100 TeV) and gluino mass around 1 TeV. We also calculate the branching ratios of \bar{B}\to X_s l^+l^-, B_s\to μ^+μ^-, and B^-\to τ^- \barν, and show that these observables are strongly correlated with each other in this model.
description: 20 pages, 16 figures