cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
P-adic Asai L-functions of Bianchi modular forms
Creators: name: Loeffler, David
name: Williams, Chris
Publisher: name: arXiv
Year: 2018
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11F41, 11F67

description: The Asai (or twisted tensor) $L$-function of a Bianchi modular form $Ψ$ is the $L$-function attached to the tensor induction to $\mathbb{Q}$ of its associated Galois representation. In this paper, when $Ψ$ is ordinary at $p$ we construct a $p$-adic analogue of this $L$-function: that is, a $p$-adic measure on $\mathbb{Z}_p^\times$ that interpolates the critical values of the Asai $L$-function twisted by Dirichlet characters of $p$-power conductor. The construction uses techniques analogous to those used by Lei, Zerbes and the first author in order to construct an Euler system attached to the Asai representation of a quadratic Hilbert modular form.
description: Final version, to appear in Algebra & Number Theory
Virtual Structure Constants as Intersection Numbers of Moduli Space of Polynomial Maps with Two Marked Points
Creators: name: Jinzenji, Masao
Publisher: name: arXiv
Year: 2007
Subjects: subject: Algebraic Geometry (math.AG)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 14N35, 32G20

description: In this paper, we derive the virtual structure constants used in mirror computation of degree k hypersurface in CP^{N-1}, by using localization computation applied to moduli space of polynomial maps from CP^{1} to CP^{N-1} with two marked points. We also apply this technique to non-nef local geometry O(1)+O(-3)->CP^{1} and realize mirror computation without using Birkhoff factorization.
description: 10 pages, latex, a minor change in Section 4, English is refined, Some typing errors in Section 3 are corrected
Hierarchical Event Descriptors (HED) Specification
Creators: name: HED Working Group
Publisher: name: Zenodo
Year: 2024
Subjects: neuroimaging
neuroinformatics
data standard
BIDS
HED
annotation
EEG/MEG/fMRI

description: This resource defines the Hierarchical Event Descriptor (HED) specification, including the core specification with detailed rules about the handling of the vocabulary, tool behavior, and errors. 

This specification lays out the rules that HED-compliant tools must follow to correctly handle HED annotations. It is meant for tool developers and for users who need to understand the details of the behavior. If you are new to HED, please visit the HED homepage or the HED resources site. 

 The current, officially released specification can also be browsed in HTML format.

The HED specification is maintained in the GitHub hed-specification repository which is part of the GitHub HED Standard organization. HED is the annotation standard for events and other tabular metadata in the Brain Imaging Data Structure (BIDS) standard.
description: This release of the specification includes lazy partnering of schemas and the specification of the HED ontology/HED information space.
Mode-coupling theory of sheared dense granular liquids
Creators: name: Hayakawa, Hisao
name: Otsuki, Michio
Publisher: name: arXiv
Year: 2007
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Mode-coupling theory (MCT) of sheared dense granular liquids %in the vicinity of jamming transition is formulated. Starting from the Liouville equation of granular particles, the generalized Langevin equation is derived with the aid of the projection operator technique. The MCT equation for the density correlation function obtained from the generalized Langevin equation is almost equivalent to MCT equation for elastic particles under the shear. It is found that there should be the plateau in the density correlation function.
description: 22 pages, 2 figure. to be published in Progress of Theoretical Physics. to be published in Progress of Theoretical Physics
Set Manipulation with Boolean Functional Vectors for Symbolic Reachability Analysis
Creators: name: Goel, Amit
name: Bryant, Randal
Publisher: name: Carnegie Mellon University
Year: 2003
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description:  Symbolic techniques usually use characteristic functions for representing sets of states. Boolean functional vectors provide an alternate set representation which is suitable for symbolic simulation. Their use in symbolic reachability analysis and model checking is limited, however, by the lack of algorithms for performing set operations. We present algorithms for set union, intersection and quantification that work with a canonical Boolean functional vector representation and show how this enables efficient symbolic simulation based reachability analysis. Our experimental results for reachability analysis indicate that the Boolean functional vector representation is often more compact than the corresponding characteristic function, thus giving significant performance improvements on some benchmarks. 
Investigation of Biomechanical Stimuli on HUVECs in in-vitro Models
Creators: name: De Campo, Giulia
Publisher: name: University of Illinois at Chicago
Year: 2024

description: Biomechanical stimuli are one of the main elements that influence cell behavior inside our
body. Understanding how cell respond to those stimuli is very complicated and sometimes still
unclear. Hydrostatic pressure together with shear stress and strain are crucial to maintain the
cardiovascular homeostasis. Hydrostatic pressure, in particular, plays a significant role in the
cardiovascular system and impairment in its physiological values can cause hypertension which
lead to the arise of cardiovascular diseases, which are the main cause of death in the United
States. Since the role and the influence of hydrostatic pressure on the cell behavior is not completely
understood and clear, the main focus of my thesis is concentrated on the investigation
of the effect of this stimulus on HUVECs. Morphological, viability and RNA-seq analysis are
conducted on cell stimulated with a wide range of pressure conditions and waveforms. The
pressure is applied through the use of a new high-throughput pressure device. This device is
compatible with a 96-well plate and 12 different pressure conditions can be performed simultaneously
on cells. The gene expression of HUVECs stimulated with hydrostatic pressure and
shear stress are compared to investigate the relationship between these stimuli. Eventually, it is
well known that recreating physiological conditions at the microscale provides a more favorable
environment for cells compared to macro-scale environments. As a result, a novel microfluidic
environment has been developed to incorporate all the biomechanical stimuli present in the
cardiovascular system. The objective is to investigate how these stimuli collectively interact to
shape the cellular phenotype and determine their specific roles in HUVECs.
A Hydrodynamic Interpretation of Quantum Mechanics via Turbulence
Creators: name: Tsekov, Roumen
name: Heifetz, Eyal
name: Cohen, Eliahu
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Physics (quant-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: A stochastic Euler equation is proposed, describing the motion of a particle density, forced by the random action of virtual photons in vacuum. After time averaging, the Euler equation is reduced to the Reynolds equation, well studied in turbulent hydrodynamics. It is shown that the average pressure is nonlocal and the magnitude of the turbulent flow obeys the Fick law. Using the Madelung transformation, the Schrodinger equation is derived without any other assumptions.
description: The paper is dedicated to the 80th Anniversary of Eng. Tsvetan Tsekov
Sensorimotor Primitives for Robotic Assembly Skills
Creators: name: J. Dan Morrow
name: Khosla, Pradeep
Publisher: name: Carnegie Mellon University
Year: 1995
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: Many researchers are interested in developing robust, skill-achieving robot programs. We propose the development of asensorimotor primitive layer which bridges the gap between the robot/sensor system and a class of tasks by providing useful encapsulations of sensing and action. Skills can then be constructed from this library of sensor-driven primitives. This reflects a move away from the separation of sensing and action in robot programming of task strategies towards the integration of sensing and action in a domain-general way for broad classes of tasks. For the domain of rigid-body assembly, we are exploiting the motion constraints which define assembly to develop force sensor-driven primitives. We report on the experimental results of a D-connector insertion skill implemented using several force-driven primitives.
Sensing Hand Tremor in a Vitreoretinal Microsurgical Instrument
Creators: name: Gomez-Blanco, Mario
name: Riviere, Cameron N.
name: Khosla, Pradeep
Publisher: name: Carnegie Mellon University
Year: 1999
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: An instrument for intraoperative sensing of surgeons’ hand tremor during vitreoretinal microsurgery has been developed. Real-time monitoring of tremor is useful to surgeons for purposes of training, adjustment of technique, monitoring of fatigue, and deciding when or whether to perform certain procedures. The instrument incorporates six inertial sensors (three accelerometers and three rate gyros), mounted at the back end of the handle, to detect translation and rotation in six degrees of freedom. The accelerometer data are integrated to obtain translational velocity, and the gyro data are integrated to determine the time-varying rotation matrix needed to transform the instrument motion to a fixed frame of reference. Instrument tip velocity in three dimensions is computed using this information. The displacement amplitude of the tremor is then approximated analytically from the velocity data, approximating it as a sinusoid. Four preliminary tests are presented: 1-dof translation (no rotation); 1-dof translation with amplitude modulation; 3-dof translation (no rotation); 6-dof motion (translation and rotation). The instrument presently estimates oscillations at physiological tremor frequencies with less than 7% error.
Additional file 1 of Evaluating the implementation of a chronic obstructive pulmonary disease management program using the Consolidated Framework for Implementation Research: a case study
Creators: name: Paciocco, Stefan
name: Kothari, Anita
name: Licskai, Christopher J.
name: Ferrone, Madonna
name: Sibbald, Shannon L.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Consolidated Framework for Implementation Research Constructs. This document provides an organized list including the categories and constructs of the consolidated framework for implementation research, as well as a short definition for each construct.
Confronting Finite Unified Theories with Low-Energy Phenomenology
Creators: name: Heinemeyer, S.
name: Mondragon, M.
name: Zoupanos, G.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Finite Unified Theories (FUTs) are N=1 supersymmetric Grand Unified Theories that can be made all-loop finite. The requirement of all-loop finiteness leads to a severe reduction of the free parameters of the theory and, in turn, to a large number of predictions. FUTs are investigated in the context of low-energy phenomenology observables. We present a detailed scanning of the all-loop finite SU(5) FUTs, where we include the theoretical uncertainties at the unification scale and we apply several phenomenological constraints. Taking into account the restrictions from the top and bottom quark masses, we can discriminate between different models. Including further low-energy constraints such as B physics observables, the bound on the lightest Higgs boson mass and the cold dark matter density, we determine the predictions of the allowed parameter space for the Higgs boson sector and the supersymmetric particle spectrum of the selected model.
description: 25 pages, 8 figures. Discussion on models and on cold dark matter constraint extended, references added. Version to appear in JHEP
Additional file 1 of Healthcare workers’ perspectives on coronavirus testing availability: a cross sectional survey
Creators: name: Byhoff, Elena
name: Paulus, Jessica K.
name: Guardado, Rubeen
name: Zubiago, Julia
name: Wurcel, Alysse G.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1.
title: ADCO, Cartulaire de Cîteaux pour les domaines de Beaune (XVe siècle), Cart. 177 (11 H 289), 197 folios, f. 0258
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2015
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire

description: Cartulaire de Cîteaux pour les domaines de Beaune (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 177 (11 H 289), 197 folios, f. 0258, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire de Cîteaux pour les possessions d’Izeure (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 177 (11 H 289), 197 folios, f. 0258, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
Additional file 2 of Healthcare workers’ perspectives on coronavirus testing availability: a cross sectional survey
Creators: name: Byhoff, Elena
name: Paulus, Jessica K.
name: Guardado, Rubeen
name: Zubiago, Julia
name: Wurcel, Alysse G.
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 2.
Additional file 4 of Relationship between ATOH1 and tumor microenvironment in colon adenocarcinoma patients with different microsatellite instability status
Creators: name: Mou, Weiming
name: Zhu, Lingxuan
name: Yang, Tao
name: Lin, Anqi
name: Lyu, Qiong
name: Guo, Linlang
name: Liu, Zaoqu
name: Cheng, Quan
name: Zhang, Jian
name: Luo, Peng
Publisher: name: figshare
Year: 2022
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 4: Figure S3. K-M survival analysis of remaining overlap genes not presented in the main text. COAD patients were divided into a high-expression group and low-expression group according to the median value TPM of each gene.
Sensing Capacity for Markov Random Fields
Creators: name: Rachlin, Yaron
name: Rohit Negi
name: Khosla, Pradeep
Publisher: name: Carnegie Mellon University
Year: 2005
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: This paper computes the sensing capacity of a sensor network, with sensors of limited range, sensing a two-dimensional Markov random field, by modeling the sensing operation as an encoder. Sensor observations are dependent across sensors, and the sensor network output across different states of the environment is neither identically nor independently distributed. Using a random coding argument, based on the theory of types, we prove a lower bound on the sensing capacity of the network, which characterizes the ability of the sensor network to distinguish among environments with Markov structure, to within a desired accuracy.
Three dimensional noncommutative bosonization
Creators: name: Banerjee, Rabin
name: Ghosh, Subir
name: Shreecharan, T.
Publisher: name: arXiv
Year: 2007
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We consider the extension of the 2+1-dimensional bosonization process in Non-Commutative (NC) spacetime. We show that the large mass limit of the effective action obtained by integrating out the fermionic fields in NC spacetime leads to the NC Chern-Simons action. The present result is valid to all orders in the noncommutative parameter $θ$. We also discuss how the NC Yang-Mills action is induced in the next to leading order.
description: LaTex, 9 pages, no figures
Parameter estimation of ODE's via nonparametric estimators
Creators: name: Brunel, Nicolas J-B.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Statistics Theory (math.ST)
subject: FOS: Mathematics
subject: 62F99 (Primary)

description: Ordinary differential equations (ODE's) are widespread models in physics, chemistry and biology. In particular, this mathematical formalism is used for describing the evolution of complex systems and it might consist of high-dimensional sets of coupled nonlinear differential equations. In this setting, we propose a general method for estimating the parameters indexing ODE's from times series. Our method is able to alleviate the computational difficulties encountered by the classical parametric methods. These difficulties are due to the implicit definition of the model. We propose the use of a nonparametric estimator of regression functions as a first-step in the construction of an M-estimator, and we show the consistency of the derived estimator under general conditions. In the case of spline estimators, we prove asymptotic normality, and that the rate of convergence is the usual $\sqrt{n}$-rate for parametric estimators. Some perspectives of refinements of this new family of parametric estimators are given.
description: Published in at http://dx.doi.org/10.1214/07-EJS132 the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Sensing Capacity for Discrete Sensor Network Applications
Creators: name: Rachlin, Yaron
name: Rohit Negi
name: Khosla, Pradeep
Publisher: name: Carnegie Mellon University
Year: 2005
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: We bound the number of sensors required to achieve a desired level of sensing accuracy in a discrete sensor network application (e.g. distributed detection). We model the state of nature being sensed as a discrete vector, and the sensor network as an encoder. Our model assumes that each sensor observes only a subset of the state of nature, that sensor observations are localized and dependent, and that sensor network output across different states of nature is neither identical nor independently distributed. Using a random coding argument we prove a lower bound on the ‘sensing capacity’ of a sensor network, which characterizes the ability of a sensor network to distinguish among all states of nature. We compute this lower bound for sensors of varying range, noise models, and sensing functions. We compare this lower bound to the empirical performance of a belief propagation based sensor network decoder for a simple seismic sensor network scenario. The key contribution of this paper is to introduce the idea of a sharp cut-off function in the number of required sensors, to the sensor network community.
Gallium phosphide-on-silicon dioxide photonic devices
Creators: name: Schneider, Katharina
name: Welter, Pol
name: Baumgartner, Yannick
name: Hahn, Herwig
name: Czornomaz, Lukas
name: Seidler, Paul
Publisher: name: arXiv
Year: 2018
Subjects: subject: Applied Physics (physics.app-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The development of integrated photonic circuits utilizing gallium phosphide requires a robust, scalable process for fabrication of GaP-on-insulator devices. Here we present the first GaP photonic devices on SiO$_2$. The process exploits direct wafer bonding of a GaP/Al$_x$Ga$_{1-x}$P/GaP heterostructure onto a SiO$_2$-on-Si wafer followed by removal of the GaP substrate and the Al$_x$Ga$_{1-x}$P stop layer. Photonic devices such as grating couplers, waveguides, and ring resonators are patterned by inductively coupled-plasma reactive-ion etching in the top GaP device layer. The peak coupling efficiency of the fabricated grating couplers is as high as 4.8 dB. Optical quality factors of 17000 as well as second- and third-harmonic generation are observed with the ring resonators. Because the large bandgap of GaP provides for low two-photon absorption at telecommunication wavelengths, the high-yield fabrication of GaP-on-insulator photonic devices enabled by this work is especially interesting for applications in nanophotonics, where high quality factors or low mode volumes can produce high electric field intensities. The large bandgap also enables integrated photonic devices operating at visible wavelengths.
Hierarchical Event Descriptors (HED) specification
Creators: name: HED Working Group
Publisher: name: Zenodo
Year: 2022
Subjects: neuroimaging
neuroinformatics
data standard
BIDS
HED
annotation

description: This resource defines the Hierarchical Event Descriptor (HED) specification, including the core specification with detailed rules about the handling of the vocabulary, tool behavior, and errors. This specification lays out the rules that HED-compliant tools must follow to correctly handle HED annotations. It is meant for tool developers and for users who need to understand the details of the behavior. If you are new to HED, please visit the HED homepage or the HED resources site. This release is the first formal release of the HED specification document. The specification is new with the introduction of HED-3G, hence the version starts with 3.0.0. The current, officially released specification can also be browsed in HTML format. The HED specification is maintained in the GitHub hed-specification repository which is part of the GitHub HED Standard organization. HED is the annotation standard for events and other tabular metadata in the Brain Imaging Data Structure (BIDS) standard.
title: PP_1959-1960_Exercice_Voute
Creators: name: Panerai, Philippe
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2024
Subjects: subject: architecture
subject: beaux-arts
subject: Écoles des beaux-arts
subject: enseignement
subject: Atelier Arretche

description: Travaux scolaires de Philippe Panerai à l'École des beaux-arts.
Hierarchical Event Descriptors (HED) Specification
Creators: name: HED Working Group
Publisher: name: Zenodo
Year: 2023
Subjects: neuroimaging
neuroinformatics
data standard
BIDS
HED
annotation

description: This resource defines the Hierarchical Event Descriptor (HED) specification, including the core specification with detailed rules about the handling of the vocabulary, tool behavior, and errors. This specification lays out the rules that HED-compliant tools must follow to correctly handle HED annotations. It is meant for tool developers and for users who need to understand the details of the behavior. If you are new to HED, please visit the HED homepage or the HED resources site. The current, officially released specification can also be browsed in HTML format. The HED specification is maintained in the GitHub hed-specification repository which is part of the GitHub HED Standard organization. HED is the annotation standard for events and other tabular metadata in the Brain Imaging Data Structure (BIDS) standard.
description: Release 3.1.0 is a clean-up release, fleshing out the details of the specification but not specifying new features. This specification also marks the initiation of JSON files specifying test data for unit tests that are keyed to errors codes in the specification.
title: Star formation in NGC 5194 (M51a). II. The spatially resolved star formation law
Creators: name: Kennicutt, RC
name: Calzetti, D
name: Walter, F
name: Helou, G
name: Hollenbach, DJ
name: Armus, L
name: Bendo, G
name: Dale, DA
name: Draine, BT
name: Engelbracht, CW
name: Gordon, KD
name: Prescott, MKM
name: Regan, MW
name: Thornley, MD
name: Bot, C
name: Brinks, E
name: De Blok, E
name: De Mello, D
name: Meyer, M
name: Moustakas, J
name: Murphy, EJ
name: Sheth, K
name: Smith, JDT
Publisher: name: University of Massachusetts Amherst
Year: 2007
Subjects: subject: galaxies : evolution
subject: galaxies : individual (M51a
subject: NGC 5194)
subject: galaxies : ISM
subject: HII regions
subject: infrared : galaxies
subject: stars : formation
subject: Astrophysics and Astronomy

description: This is the pre-published version harvested from ArXiv. The published version is located at http://iopscience.iop.org/0004-637X/671/1/333/
description: We have studied the relationship between the star formation rate (SFR), surface density, and gas surface density in the spiral galaxy M51a (NGC 5194), using multiwavelength data obtained as part of the Spitzer Infrared Nearby Galaxies Survey (SINGS). We introduce a new SFR index based on a linear combination of Hα emission-line and 24 μm continuum luminosities, which provides reliable extinction-corrected ionizing fluxes and SFR densities over a wide range of dust attenuations. The combination of these extinction-corrected SFR densities with aperture synthesis H I and CO maps has allowed us to probe the form of the spatially resolved star formation law on scales of 0.5-2 kpc. We find that the resolved SFR versus gas surface density relation is well represented by a Schmidt power law, which is similar in form and dispersion to the disk-averaged Schmidt law. We observe a comparably strong correlation of the SFR surface density with the molecular gas surface density, but no significant correlation with the surface density of atomic gas. The best-fitting slope of the Schmidt law varies from N = 1.37 to 1.56, with zero point and slope that change systematically with the spatial sampling scale. We tentatively attribute these variations to the effects of areal sampling and averaging of a nonlinear intrinsic star formation law. Our data can also be fitted by an alternative parameterization of the SFR surface density in terms of the ratio of gas surface density to local dynamical time, but with a considerable dispersion.
Hierarchical Event Descriptors (HED) Specification
Creators: name: HED Working Group
Publisher: name: Zenodo
Year: 2023
Subjects: neuroimaging
neuroinformatics
data standard
BIDS
HED
annotation

description: This resource defines the Hierarchical Event Descriptor (HED) specification, including the core specification with detailed rules about the handling of the vocabulary, tool behavior, and errors. This specification lays out the rules that HED-compliant tools must follow to correctly handle HED annotations. It is meant for tool developers and for users who need to understand the details of the behavior. If you are new to HED, please visit the HED homepage or the HED resources site. The current, officially released specification can also be browsed in HTML format. The HED specification is maintained in the GitHub hed-specification repository which is part of the GitHub HED Standard organization. HED is the annotation standard for events and other tabular metadata in the Brain Imaging Data Structure (BIDS) standard.
description: Release 3.1.1 added additional minor corrections and clarifications in the specification document and does not include any enhancements from version 3.0.0.
Norm matters: efficient and accurate normalization schemes in deep networks
Creators: name: Hoffer, Elad
name: Banner, Ron
name: Golan, Itay
name: Soudry, Daniel
Publisher: name: arXiv
Year: 2018
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Over the past few years, Batch-Normalization has been commonly used in deep networks, allowing faster training and high performance for a wide variety of applications. However, the reasons behind its merits remained unanswered, with several shortcomings that hindered its use for certain tasks. In this work, we present a novel view on the purpose and function of normalization methods and weight-decay, as tools to decouple weights' norm from the underlying optimized objective. This property highlights the connection between practices such as normalization, weight decay and learning-rate adjustments. We suggest several alternatives to the widely used $L^2$ batch-norm, using normalization in $L^1$ and $L^\infty$ spaces that can substantially improve numerical stability in low-precision implementations as well as provide computational and memory benefits. We demonstrate that such methods enable the first batch-norm alternative to work for half-precision implementations. Finally, we suggest a modification to weight-normalization, which improves its performance on large-scale tasks.
description: http://papers.nips.cc/paper/7485-norm-matters-efficient-and-accurate-normalization-schemes-in-deep-networks
Additional file 2 of Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study
Creators: name: Smyth, L. J.
name: Kilner, J.
name: Nair, V.
name: Liu, H.
name: Brennan, E.
name: Kerr, K.
name: Sandholm, N.
name: Cole, J.
name: Dahlström, E.
name: Syreeni, A.
name: Salem, R. M.
name: Nelson, R. G.
name: Looker, H. C.
name: Wooster, C.
name: Anderson, K.
name: McKay, G. J.
name: Kee, F.
name: Young, I.
name: Andrews, D.
name: Forsblom, C.
name: Hirschhorn, J. N.
name: Godson, C.
name: Groop, P. H.
name: Maxwell, A. P.
name: Susztak, K.
name: Kretzler, M.
name: Florez, J. C.
name: McKnight, A. J.
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 2. Supplementary Figures.
Topological semimetals in the SnTe material class: Nodal lines and Weyl points
Creators: name: Lau, Alexander
name: Ortix, Carmine
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We theoretically show that IV-VI semiconducting compounds with low-temperature rhombohedral crystal structure represent a new potential platform for topological semimetals. By means of minimal $\mathbf{k}\cdot\mathbf{p}$ models we find that the two-step structural symmetry reduction of the high-temperature rocksalt crystal structure, comprising a rhombohedral distortion along the [111] direction followed by a relative shift of the cation and anion sublattices, gives rise to topologically protected Weyl semimetal and nodal line semimetal phases. We derive general expressions for the nodal features and apply our results to SnTe showing explicitly how Weyl points and nodal lines emerge in this system. Experimentally, the topological semimetals could potentially be realized in the low-temperature ferroelectric phase of SnTe, GeTe and related alloys.
description: 5 pages + supplemental material
Automated Software Analysis for Privacy Policy Compliance
Creators: name: Lucca, Sofia
Publisher: name: University of Illinois at Chicago
Year: 2024

description: Privacy of data collected and processed online has become more relevant in the last 20 years. Due to the rise of the Internet, online marketing, and advertisement, consumer data has become a very valuable resource. In recent years laws have been introduced in multiple jurisdictions to regulate the processing of these data. The businesses and websites which use this information must comply with these laws. Currently, the processes for checking and analysing software compliance with policy requirements are still highly human-dependent. In this thesis, we analyse previous work in automatic software compliance with privacy requirements. We selected PrivGuard, an existing framework, and we conducted extensive experiments with that framework to assess its ability to automate software compliance verification [https://www.usenix.org/system/files/sec22-wang-lun.pdf].
The goals of this thesis are twofold. First, we select today’s two most popular privacy regulations, namely CPRA and GDPR ([https://cpra.gtlaw.com/cpra-full-text/], [https://gdpr-info.eu/]) and we write formal specifications of those regulaƟ ons in PrivGuard. Next, we identify three software benchmarks that elicit, store and manipulate personal consumer information, and we analyse those with PrivGuard’s analysis tool, called PrivAnalyzer. Finally, we assess the effecƟ veness of PrivGuard and PrivAnalyzer concerning the specification and verification of privacy policies. We also identify ways in which these tools can be improved to increase their effectiveness.
Semi-Supervised Learning of Multi-Factor Models for Face De-Identification
Creators: name: Gross, Ralph
name: Sweeney, Latanya
name: Torre, Fernando De La
name: Baker, Simon
Publisher: name: Carnegie Mellon University
Year: 2008
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. Recently, formal methods for the de-identification of images have been proposed which would benefit from multi-factor coding to separate identity and non-identity related factors. However, existing multi-factor models require complete labels during training which are often not available in practice. In this paper we propose a new multi-factor framework which unifies linear, bilinear, and quadratic models. We describe a new fitting algorithm which jointly estimates all model parameters and show that it outperforms the standard alternating algorithm. We furthermore describe how to avoid overfitting the model and how to train the model in a semi-supervised manner. In experiments on a large expression-variant face database we show that data coded using our multi-factor model leads to improved data utility while providing the same privacy protection.
Hierarchical Event Descriptors (HED) Specification
Creators: name: HED Working Group
Publisher: name: Zenodo
Year: 2023
Subjects: neuroimaging
neuroinformatics
data standard
BIDS
HED
annotation
EEG/MEG/fMRI

description: This resource defines the Hierarchical Event Descriptor (HED) specification, including the core specification with detailed rules about the handling of the vocabulary, tool behavior, and errors. This specification lays out the rules that HED-compliant tools must follow to correctly handle HED annotations. It is meant for tool developers and for users who need to understand the details of the behavior. If you are new to HED, please visit the HED homepage or the HED resources site. The current, officially released specification can also be browsed in HTML format. The HED specification is maintained in the GitHub hed-specification repository which is part of the GitHub HED Standard organization. HED is the annotation standard for events and other tabular metadata in the Brain Imaging Data Structure (BIDS) standard.
description: Release 3.2.0 added the Inset tag for labeling intermediate points as well as partnered and rooted library schemas and the curly braces notation for sidecars..
Seminal Papers in Software Engineering: The Carnegie Mellon Canonical Collection
Creators: name: Shaw, Mary
name: Aldrich, Jonathan
name: Breaux, Travis D.
name: Garlan, David
name: Kästner, Christian
name: Goues, Claire Le
name: Scherlis, William
Publisher: name: Carnegie Mellon University
Year: 2015
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: To understand the context of current research, it is essential to understand how current results evolved from early fundamental papers. These classic papers develop timeless ideas that transcend technology changes, and the ideas embodied in their solutions often apply to current problems (and, indeed, are reinvented by researchers who are ignorant of the classic literature).
First-principles quantitative prediction of the lattice thermal conductivity in random semiconductor alloys: the role of force-constant disorder
Creators: name: Arrigoni, Marco
name: Carrete, Jesús
name: Mingo, Natalio
name: Madsen, Georg K. H.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The standard theoretical understanding of the lattice thermal conductivity, $κ_{\ell}$, of semiconductor alloys assumes that mass disorder is the most important source of phonon scattering. In contrast, we show that the hitherto neglected contribution of force-constant (IFC) disorder is essential to accurately predict the $κ_{\ell}$ of those polar compounds characterized by a complex atomic-scale structure. We have developed an \emph{ab initio} method based on special quasirandom structures and Green's functions, and including the role of IFC disorder, and applied it in order to calculate the $κ_{\ell}$ of $\mathrm{In_{1-x}Ga_xAs}$ and $\mathrm{Si_{1-x}Ge_x}$ alloys. We show that, while for $\mathrm{Si_{1-x}Ge_x}$, phonon-alloy scattering is dominated by mass disorder, for $\mathrm{In_{1-x}Ga_xAs}$, the inclusion of IFC disorder is fundamental to accurately reproduce the experimentally observed $κ_{\ell}$. As the presence of a complex atomic-scale structure is common to most III-V and II-VI random semiconductor alloys, we expect our method to be suitable for a wide class of materials.
Initiation and propagation of coronal mass ejections
Creators: name: Chen, P. F.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: This paper reviews recent progress in the research on the initiation and propagation of CMEs. In the initiation part, several trigger mechanisms are discussed; In the propagation part, the observations and modelings of EIT waves/dimmings, as the EUV counterparts of CMEs, are described.
description: 8 pages, 1 figure, an invited review, to appear in J. Astrophys. Astron
Low crater frequencies and low model ages in lunar maria: Recent endogenic activity or degradation effects?
Creators: name: Valantinas, A.
name: Kinch, K. M.
name: Bridžius, A.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Recently a number of studies have identified small lunar geologic structures to be <100 Ma in age using standard remote sensing techniques. Here we present new crater size frequency distributions (CSFD) and model ages using craters D> 10 m for 5 small target units: 1 Irregular Mare Patch (IMP) in Mare Nubium and 4 regions located on lunar wrinkle ridges in Mare Humorum. For comparison we also date another IMP found in a recent study in Mare Tranquillitatis (Braden et al., 2014). Absolute model age derivation corresponds to 46$\pm$5 Ma and 22$\pm$1 Ma for Nubium and Sosigenes IMP. We show that for IMPs and in nearby control mare regions similar production-like cumulative log-log SFD slopes of -3 are observed. In contrast control mare regions in Mare Humorum exhibit shallower equilibrium slopes from -1.83 to -2. 3 out of 4 wrinkle ridges appear to be in equilibrium but with crater life times lower than on the corresponding maria. Low crater frequencies on one wrinkle ridge result in an age of 8.6$\pm$1 Ma. This study region contains 80% fresh craters which suggests that the crater population is still in production indicative of a recent resurfacing event.
Anisotropic Magnification Distortion of the 3D Galaxy Correlation: II. Fourier and Redshift Space
Creators: name: Hui, Lam
name: Gaztanaga, Enrique
name: LoVerde, Marilena
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: In paper I of this series we discuss how magnification bias distorts the 3D correlation function by enhancing the observed correlation in the line-of-sight (LOS) orientation, especially on large scales. This lensing anisotropy is distinctive, making it possible to separately measure the galaxy-galaxy, galaxy-magnification {\it and} magnification-magnification correlations. Here we extend the discussion to the power spectrum and also to redshift space. In real space, pairs oriented close to the LOS direction are not protected against nonlinearity even if the pair separation is large; this is because nonlinear fluctuations can enter through gravitational lensing at a small transverse separation (or i.e. impact parameter). The situation in Fourier space is different: by focusing on a small wavenumber $k$, as is usually done, linearity is guaranteed because both the LOS and transverse wavenumbers must be small. This is why magnification distortion of the galaxy correlation appears less severe in Fourier space. Nonetheless, the effect is non-negligible, especially for the transverse Fourier modes, and should be taken into account in interpreting precision measurements of the galaxy power spectrum, for instance those that focus on the baryon oscillations. The lensing induced anisotropy of the power spectrum has a shape that is distinct from the more well known redshift space anisotropies due to peculiar motions and the Alcock-Paczynski effect. The lensing anisotropy is highly localized in Fourier space while redshift space distortions are more spread out. This means that one could separate the magnification bias component in real observations, implying that potentially it is possible to perform a gravitational lensing measurement without measuring galaxy shapes.
description: 14 pages, minor revisions, as accepted for publication in Physical Review D
Ethical Use of Artificial Intelligence in Cybersecurity
Creators: name: Dinesh Kumar
name: Raj Kevlani
Publisher: name: Zenodo
Year: 2018

description: As the mixing of Artificial Intelligence (AI) in cybersecurity becomes more and more general, there's a developing want to cope with moral considerations to make sure the responsible deployment of these advanced technology. This research article explores the moral dimensions surrounding the use of AI in cybersecurity, aiming to provide insights into the challenges and possibilities related to its implementation. The have a look at delves into the capability ethical dilemmas posed by way of AI algorithms in regions inclusive of information privateness, bias, transparency, and accountability. Additionally, it investigates the role of AI in autonomous selection-making inside cybersecurity frameworks and the ethical implications of granting machines the authority to make critical protection decisions. The studies employs a multidisciplinary approach, drawing on views from computer technology, ethics, and regulation to increase a comprehensive expertise of the moral panorama. Through the exam of case studies and actual-global examples, the thing offers realistic insights for policymakers, cybersecurity experts, and AI builders to navigate the moral complexities associated with AI packages in cybersecurity. By fostering a speak on accountable AI use, this research contributes to the improvement of ethical pointers that sell transparency, fairness, and accountability in the rapidly evolving discipline of AI-superior cybersecurity.
Semantics Aware Malware Detection
Creators: name: Christodorescu, Mihai
name: Somesh  Jha
name: Sanjit A. Seshia
name: Song, Dawn
name: Bryant, Randal
Publisher: name: Carnegie Mellon University
Year: 2005
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description:  A malware detector is a system that attempts to determine whether a program has malicious intent. In order to evade detection, malware writers (hackers) frequently use obfuscation to morph malware. Malware detectors that use a pattern-matching approach (such as commercial virus scanners) are susceptible to obfuscations used by hackers. The fundamental deficiency in the pattern-matching approach to malware detection is that it is purely syntactic and ignores the semantics of instructions. In this paper, we present a malwaredetection algorithm that addresses this deficiency by incorporating instruction semantics to detect malicious program traits. Experimental evaluation demonstrates that our malware-detection algorithm can detect variants of malware with a relatively low run-time overhead. Moreover, our semantics-aware malware detection algorithm is resilient to common obfuscations used by hackers. 
OGLE-2014-SN-073 as a fallback accretion powered supernova
Creators: name: Moriya, Takashi J.
name: Terreran, Giacomo
name: Blinnikov, Sergei I.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We investigate the possibility that the energetic Type II supernova OGLE-2014-SN-073 is powered by a fallback accretion following the failed explosion of a massive star. Taking massive hydrogen-rich supernova progenitor models, we estimate the fallback accretion rate and calculate the light curve evolution of supernovae powered by the fallback accretion. We find that such fallback accretion powered models can reproduce the overall observational properties of OGLE-2014-SN-073. It may imply that some failed supernovae could be observed as energetic supernovae like OGLE-2014-SN-073 instead of faint supernovae as previously proposed.
description: 5 pages, 3 figures, accepted by Monthly Notices of the Royal Astronomical Society Letters
Teachers’ Values, Intentions, and Understandings of Classroom Assessment
Creators: name: Locoh-A, Gabriela Groza
Publisher: name: University of Illinois at Chicago
Year: 2024

description: Assessment is currently seen not only as a means to evaluate students' performance but also as a crucial tool for identifying learning needs and facilitating student progress, while simultaneously aiding teachers in refining their instructional methods. This paper presents findings from an in-depth study conducted through online surveys involving 149 teachers, consisting of 56 in-service and 93 pre-service educators. The aim of the study was to investigate the sources and activities that teachers prioritize and utilize in their teaching practices, along with their underlying motivations and methodologies. Notably, discussions emerge as a top source of importance and usefulness, while activities such as self-assessment, reflective practice, and constructive feedback are underscored as indispensable tools for both in-service and pre-service teachers. The driving forces behind teachers' preference for these top sources and activities center around their contributions to student learning, teaching practice, and the evaluation of student progress. Furthermore, the study highlights that these chosen sources and activities foster a positive learning community in the classroom. Teachers collectively voice reservations related to assigning grades, with standardized testing in particular receiving considerable skepticism. This research thus contributes to the ongoing discourse surrounding assessment practices, underscoring the importance of tailored and inclusive approaches that bridge the gap between assessment and effective pedagogy.