cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Eulerian finite volume method for musculoskeletal simulation and data-driven activation
Creators: name: Fan, Ye
Publisher: name: University of British Columbia
Year: 2014

description: This thesis describes a solid simulation method and its application to musculoskeletal simulation. The presented solid simulation method features Eulerian discretization and avoids mesh tangling during large deformation. Unlike existing Eulerian solid simulation methods, our method applies to elastoplastic material and volume-preserving material. To further increase the utility of Eulerian simulations for solids, we introduce Lagrangian modes to the simulation and present a new solver that handles close contact while simultaneously distributing motion between the Lagrangian and Eulerian modes. This Eulerian-on-Lagrangian method enables unbounded simulation domains and reduces the time step restrictions that often plague Eulerian simulation. We also introduce a framework for simulating the dynamics of musculoskeletal systems, with volumetric muscles and a novel muscle activation model. Muscles are simulated using the solid simulator developed and therefore enjoys volume preservation which is crucial for accurately capturing the dynamics of muscles and other biological tissues. Unlike previous work, in our system muscle deformation is tightly coupled to the dynamics of the skeletal system, and not added as an after effect. Our physiologically based muscle activation model utilizes knowledge of the active shapes of muscles, which can be manually drawn or easily obtained from medical imaging data. Finally we demonstrate results with models derived from MRI data and models designed for artistic effect.
title: Cognitive predictors of cortical thickness in healthy ageing.
Creators: name: Naumczyk, Patrycja
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Neuroradiology brain
subject: MR
subject: Experimental investigations
subject: Dementia
subject: Geriatrics

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Our goal was to compare the predictive value of the motor speed, inhibition control, fluid intelligence and crystallized intelligence in estimating the cortical thickness of healthy...
Trade Games: Noncooperative Strategies in the International Wheat Market
Creators: name: Vanzetti, David
name: Vanzetti, David
Publisher: name: Unknown
Year: 1989
Subjects: subject: International Relations/Trade
subject: Marketing
subject: FOS: Economics and business

description: International commodity markets have most commonly been analysed with the use of perfectly competitive models, ignoring the effects of government intervention combined with market power. Such models are unable to account for retaliation and other strategic effects that have recently been observed in wheat and other agricultural markets. In this thesis, a framework is developed for analysing strategic interactions in agricultural trade. Policymakers set domestic prices to optimise weighted welfare functions, where the weights reflect the relative influence of consumers, producers and taxpayers. These weights are estimated from observed domestic prices in each region. Non-cooperative, game-theoretic equilibria are utilised to determine the outcome of trade wars under various scenarios. Cournot-Nash, Stackelberg and conjectural variations solutions are obtained in a static framework. The analysis is then extended to include lags in production and decision making, and the strategic and dynamic elements of the policymaker's problem are examined in a dynamic difference game. Prices are set in each region to optimise a quadratic objective function, subject to linear intertemporal constraints. A dynamic programming approach, using Riccati equations, is developed to solve for the single controller problem. An iterative procedure is then applied to take account of the interdependence of all countries' policies. To incorporate storage in the deterministic model, multi-period quadratic programming is used to find the optimum tariffs and stock levels simultaneously. This approach allows the restriction that stocks must be non-negative. The analysis is applied to a model of the international wheat market. The results indicate that strategic behaviour can significantly influence optimal trade policy, and hence prices, trade flows and the distribution of welfare.
description: La Trobe University
Implications of LHC Searches on SUSY Particle Spectra: The pMSSM Parameter Space with Neutralino Dark Matter
Creators: name: Arbey, A.
name: Battaglia, M.
name: Mahmoudi, F.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We study the implications of LHC searches on SUSY particle spectra using flat scans of the 19-parameter pMSSM phase space. We apply constraints from flavour physics, g_mu-2, dark matter and earlier LEP and Tevatron searches. The sensitivity of the LHC SUSY searches with jets, leptons and missing energy is assessed by reproducing with fast simulation the recent CMS analyses after validation on benchmark points. We present results in terms of the fraction of pMSSM points compatible with all the constraints which are excluded by the LHC searches with 1 fb^{-1} and 15 fb^{-1} as a function of the mass of strongly and weakly interacting SUSY particles. We also discuss the suppression of Higgs production cross sections for the MSSM points not excluded and contrast the region of parameter space tested by the LHC data with the constraints from dark matter direct detection experiments.
description: 14 pages, 13 figures. v2: increased statistics, to appear in EPJC
Derivative expansion of the electromagnetic Casimir energy for two thin mirrors
Creators: name: Fosco, Cesar D.
name: Lombardo, Fernando C.
name: Mazzitelli, Francisco D.
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We extend our previous work on a derivative expansion for the Casimir energy, to the case of the electromagnetic field coupled to two thin, imperfect mirrors. The latter are described by means of vacuum polarization tensors localized on the mirrors. We apply the results so obtained to compute the first correction to the proximity force approximation to the static Casimir effect.
description: Version to appear in Phys. Rev. D
title: Es braucht Aufklärung, damit mehr Menschen mit Künstlicher Intelligenz arbeiten können: Interview
Creators: name: Fedorets, Alexandra
name: Wittenberg, Erich
Publisher: name: DIW - Deutsches Institut für Wirtschaftsforschung
Year: 2021

description: DIW Wochenbericht, 88 (2021), 48, S. 790
title: Validity of a real-time True-FISP sequence to determine muscle Cross-Sectional Area
Creators: name: Garetier, Marc
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Musculoskeletal system
subject: Musculoskeletal soft tissue
subject: MR
subject: Imaging sequences
subject: Segmentation
subject: Image verification

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Muscle Cross-Sectional Area (CSA) is an important measure used in clinical assessments. It allows to estimate muscle volume [1] and can related to muscle function [2]. MRI is the imaging modality of choice for the determination of CSA [3]. Muscle...
title: Radiomics approach to characterize microsatellite instability: A CT-based radiomic signature for the detection of the MSI-H phenotype in colorectal cancer
Creators: name: Huang, Qi
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Cancer
subject: Computer Applications-Detection, diagnosis
subject: CT
subject: Colon
subject: Artificial Intelligence
subject: Abdomen

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: To develop and validate a CT-based radiomic signature for the preoperative detection of the MSI-H (high levels of microsatellite instability) phenotype in patients with colorectal...
Disorder strength and field-driven ground state domain formation in artificial spin ice: experiment, simulation and theory
Creators: name: Budrikis, Zoe
name: Morgan, J. P.
name: Akerman, J.
name: Stein, A.
name: Politi, Paolo
name: Langridge, S.
name: Marrows, C. H.
name: Stamps, R. L.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: Quenched disorder affects how non-equilibrium systems respond to driving. In the context of artificial spin ice, an athermal system comprised of geometrically frustrated classical Ising spins with a two-fold degenerate ground state, we give experimental and numerical evidence of how such disorder washes out edge effects, and provide an estimate of disorder strength in the experimental system. We prove analytically that a sequence of applied fields with fixed amplitude is unable to drive the system to its ground state from a saturated state. These results should be relevant for other systems where disorder does not change the nature of the ground state.
description: The manuscript has been reworked. To be published in Phys. Rev. Lett
title: Künstliche Intelligenz in Deutschland: Erwerbstätige wissen oft nicht, dass sie mit KI-basierten Systemen arbeiten
Creators: name: Giering, Oliver
name: Fedorets, Alexandra
name: Adriaans, Jule
name: Kirchner, Stefan
Publisher: name: DIW - Deutsches Institut für Wirtschaftsforschung
Year: 2021
Subjects: subject: O30 Technological Change; Research and Development; Intellectual Property Rights: General
subject: C83 Survey Methods; Sampling Methods
subject: digitalisation
subject: artificial intelligence
subject: labor market
subject: work

description: Der Begriff der Künstlichen Intelligenz (KI) bleibt im Arbeitsalltag für Erwerbstätige oftmals undurchschaubar. Das zeigt eine Auswertung der Verbreitung von KI in der Arbeitswelt in Deutschland mithilfe des neuen Datenmoduls des SOEP-IS zum Thema Digitalisierung. Fragt man die Erwerbstätigen direkt nach der Nutzung von digitalen Systemen mit „Künstlicher Intelligenz“, geben rund 20 Prozent an, solche Systeme zu nutzen. Erfragt man die Nutzung dagegen indirekt, also ohne Nennung des Begriffs KI, geben fast doppelt so viele Personen an, täglich eine oder mehrere digitale Systeme mit entsprechenden Funktionen zu nutzen. Viele arbeiten demnach schon mit KI-basierten Systemen, ohne dies zu wissen. Das legt nahe, dass die aktuelle Debatte um befürchtete Arbeitsplatzverluste durch KI (Substitution) um Perspektiven der Zusammenarbeit (Kollaboration) zwischen Menschen und Maschinen erweitert werden muss. Tatsächlich erledigen derzeit viele Erwerbstätige bestimmte Tätigkeiten noch selbst, werden dabei aber (auch) von KI-basierten Systemen unterstützt. Damit möglichst viele Menschen vom technologischen Fortschritt in Deutschland profitieren und diesen mitgestalten können, sollten Weiterbildungen angeboten werden, die Wissen über KI vermitteln und nötige Fähigkeiten stärken.
description: DIW Wochenbericht, 88 (2021), 48, S. 783-789
title: Advantages of double assessment of pre surgical MRI of patients with refractory forms of epilepsy
Creators: name: Molgachev, Alexander
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: CNS
subject: Neuroradiology brain
subject: MR
subject: Comparative studies
subject: Imaging sequences
subject: Dysplasias
subject: Seizure disorders

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Nowadays there is significant increase in number of cases of refractory forms of epilepsy. Epidemiological data indicate that 20-40% of the patients with newly diagnosed epilepsy will become refractory to treatment [2]. Therefore the number of...
Null infinity waveforms from extreme-mass-ratio inspirals in Kerr spacetime
Creators: name: Zenginoğlu, Anıl
name: Khanna, Gaurav
Publisher: name: arXiv
Year: 2011
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We describe the hyperboloidal compactification for Teukolsky equations in Kerr spacetime. We include null infinity on the numerical grid by attaching a hyperboloidal layer to a compact domain surrounding the rotating black hole and the orbit of an inspiralling point particle. This technique allows us to study, for the first time, gravitational waveforms from large- and extreme-mass-ratio inspirals in Kerr spacetime extracted at null infinity. Tests and comparisons of our results with previous calculations establish the accuracy and efficiency of the hyperboloidal layer method.
description: 14 pages, 7 figures
title: Extramedullary haematopoiesis, typical and atypical manifestations.
Creators: name: Zuñiga, Natalia
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Metabolic disorders
subject: Haematologic diseases
subject: Connective tissue disorders
subject: Imaging sequences
subject: Complications
subject: Comparative studies
subject: Ultrasound
subject: MR
subject: CT
subject: Musculoskeletal soft tissue
subject: Haematologic
subject: Abdomen

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: To review the common and uncommon imaging appearances of extramedullary haematopoiesis in each anatomical...
title: Lung Cancer screening in a US state with the highest adult smoking rates: 4 years of experience
Creators: name: Flors, Lucia
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Cancer
subject: Computer Applications-Detection, diagnosis
subject: CT
subject: Lung

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: INTRODUCTION: Lung cancer remains the leading cause of cancer-related death in the United States and worldwide, accounting for more deaths per year than colon, breast and prostate cancers combined. It is estimated that 154,050 deaths from lung...
title: Volumetric Ultrasound Nomogram of non-pathological Uterus between non-pregnant women in Quito, Ecuador.
Creators: name: Rivadeneira, Sebastian
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Image verification
subject: Image registration
subject: Education and training
subject: Outcomes analysis
subject: Experimental investigations
subject: Education
subject: Ultrasound
subject: Experimental
subject: Pelvis
subject: Genital / Reproductive system female
subject: eHealth

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: AIMS The main purpose is to implement a Nomogram of reference of volumetric ultrasound of the Uterus among women of childbearing age, non-pregnant and with a nonpathologicalUterus evaluated by ultrasound, who were concurrents to the "La Rumiñahui"-...
Additional file 1 of Reducing the incidence of stroke-associated pneumonia: an evidence-based practice
Creators: name: Liu, Zhu-Yun
name: Wei, Lin
name: Ye, Ri-Chun
name: Chen, Jiao
name: Nie, Dan
name: Zhang, Ge
name: Zhang, Xiao-Pei
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Additional file 1.
Implications of LHC searches for Higgs--portal dark matter
Creators: name: Djouadi, Abdelhak
name: Lebedev, Oleg
name: Mambrini, Yann
name: Quevillon, Jeremie
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The search for the a Standard Model Higgs boson at the LHC is reaching a critical stage as the possible mass range for the particle has become extremely narrow and some signal at a mass of about 125 GeV is starting to emerge. We study the implications of these LHC Higgs searches for Higgs portal models of dark matter in a rather model independent way. Their impact on the cosmological relic density and on the direct detection rates are studied in the context of generic scalar, vector and fermionic thermal dark matter particles. Assuming a sufficiently small invisible Higgs decay branching ratio, we find that current data, in particular from the XENON experiment, essentially exclude fermionic dark matter as well as light, i.e. with masses below 50 GeV, scalar and vector dark matter particles. Possible observation of these particles at the planned upgrade of the XENON experiment as well in collider searches is discussed.
description: 6 pages, 5 figures; references added, typos corrected, discussion and figure for LHC modified
Holonomies of gauge fields in twistor space 5: amplitudes of gluons and massive scalars
Creators: name: Abe, Yasuhiro
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Scattering amplitudes of gluons coupled with a pair of massive scalars, so-called massive scalar amplitudes, provide the simplest yet physically useful examples of massive amplitudes. In this paper we construct an S-matrix functional for the massive scalar amplitudes in a recently developed holonomy formalism in supertwistor space. From the S-matrix functional we derive ultra helicity violating (UHV), as well as next-to-UHV (NUHV), massive scalar amplitudes at tree level in a form that agrees with previously known results. We also obtain recursive expressions for non-UHV tree amplitudes in general. These results will open up a new avenue to the study of phenomenology in the spinor-helicity formalism.
description: 32 pages; v2. minor revisions, published version
Inelastic electron and light scattering from the elementary electronic excitations in quantum wells: Zero magnetic field
Creators: name: Kushwaha, Manvir S.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The most fundamental approach to an understanding of electronic, optical, and transport phenomena which the condensed matter physics (of conventional as well as nonconventional systems) offers is generally founded on two experiments: the inelastic electron scattering and the inelastic light scattering. This work embarks on providing a systematic framework for the theory of inelastic electron scattering and of inelastic light scattering from the electronic excitations in GaAs/Ga$_{1-x}$Al$_{x}$As quantum wells. To this end, we start with the Kubo's correlation function to derive the generalized nonlocal, dynamic dielectric function, and the inverse dielectric function within the framework of Bohm-Pines' random-phase approximation. This is followed by a thorough development of the theory of inelastic electron scattering and of inelastic light scattering. The methodological part is then subjected to the analytical diagnoses which allow us to sense the subtlety of the analytical results and the importance of their applications. The general analytical results, which know no bounds regarding, e.g., the subband occupancy, are then specified so as to make them applicable to practicality. After trying and testing the eigenfunctions, we compute the density of states, the Fermi energy, the full excitation spectrum made up of intrasubband and intersubband -- single-particle and collective (plasmon) -- excitations, the loss functions for all the principal geometries envisioned for the inelastic electron scattering, and the Raman intensity, which provides a measure of the real transitions induced by the (laser) probe, for the inelastic light scattering...
title: Contribution of MRI in the diagnosis of foetal intracranial haemorrhage
Creators: name: LONDOÑO VILLA, LUISA FERNANDA
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Obstetrics
subject: Haemorrhage
subject: Foetus
subject: Medico-legal issues
subject: Intrauterine diagnosis
subject: Diagnostic procedure
subject: Ultrasound-Colour Doppler
subject: Ultrasound
subject: MR
subject: Obstetrics (Pregnancy / birth / postnatal period)
subject: Neuroradiology brain
subject: Foetal imaging

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Current knowledge about fetal intracranial hemorrhage (ICH) [1] could be summarized as follows: Mostly occurs in the absence of identifiable risk factors. The most common form of presentation is intraventricular hemorrhage (IVH). knowledge of...
Encoding dynamics for multiscale community detection: Markov time sweeping for the Map equation
Creators: name: Schaub, Michael T.
name: Lambiotte, Renaud
name: Barahona, Mauricio
Publisher: name: arXiv
Year: 2011
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Information Theory (cs.IT)
subject: Social and Information Networks (cs.SI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The detection of community structure in networks is intimately related to finding a concise description of the network in terms of its modules. This notion has been recently exploited by the Map equation formalism (M. Rosvall and C.T. Bergstrom, PNAS, 105(4), pp.1118--1123, 2008) through an information-theoretic description of the process of coding inter- and intra-community transitions of a random walker in the network at stationarity. However, a thorough study of the relationship between the full Markov dynamics and the coding mechanism is still lacking. We show here that the original Map coding scheme, which is both block-averaged and one-step, neglects the internal structure of the communities and introduces an upper scale, the `field-of-view' limit, in the communities it can detect. As a consequence, Map is well tuned to detect clique-like communities but can lead to undesirable overpartitioning when communities are far from clique-like. We show that a signature of this behavior is a large compression gap: the Map description length is far from its ideal limit. To address this issue, we propose a simple dynamic approach that introduces time explicitly into the Map coding through the analysis of the weighted adjacency matrix of the time-dependent multistep transition matrix of the Markov process. The resulting Markov time sweeping induces a dynamical zooming across scales that can reveal (potentially multiscale) community structure above the field-of-view limit, with the relevant partitions indicated by a small compression gap.
description: 10 pages, 6 figures
Additional file 2 of Reducing the incidence of stroke-associated pneumonia: an evidence-based practice
Creators: name: Liu, Zhu-Yun
name: Wei, Lin
name: Ye, Ri-Chun
name: Chen, Jiao
name: Nie, Dan
name: Zhang, Ge
name: Zhang, Xiao-Pei
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Neuroscience
subject: Biotechnology
subject: Cancer
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Additional file 2.
endometrial carcinoma
Creators: name: Shumaila Khan
Publisher: name: Zenodo
Year: 2021
Subjects: Gynecology,endometrial carcinoma, FIGO, women health

description: This presentation was made and presented by me at Gynecology ward-3 of Civil Hospital, Karachi. The topic of my presentation is endometrial carcinoma, I have tried to cover all the aspects related to this topic and this is a small effort of mine to create awareness about this topic, and try to educate women more about it.
title: Sonographic approach of abdominal wall defects: The essentials
Creators: name: Fuentes Borunda, Eduardo
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Obstetrics
subject: Foetus
subject: Intrauterine diagnosis
subject: Diagnostic procedure
subject: Ultrasound-Colour Doppler
subject: Ultrasound
subject: Obstetrics (Pregnancy / birth / postnatal period)
subject: Abdomen

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: Recognize the sonographic characteristics and patterns of abdominal wall defects. Apply a systematic approach in the evaluation of the umbilical cord insertion and its relationship towards the abdominal defects. Apply a diagnostic algorithm when...
Scalable nearest neighbour methods for high dimensional data
Creators: name: Muja, Marius
Publisher: name: University of British Columbia
Year: 2013

description: For many computer vision and machine learning problems, large training sets are key for good performance. However, the most computationally expensive part of many computer vision and machine learning algorithms consists of finding nearest neighbour matches to high dimensional vectors that represent the training data. We propose new algorithms for approximate nearest neighbour matching and evaluate and compare them with previous algorithms. For matching high dimensional features, we find two algorithms to be the most efficient: the randomized k-d forest and a new algorithm proposed in this thesis, the priority search k-means tree. We also propose a new algorithm for matching binary features by searching multiple hierarchical clustering trees and show it outperforms methods typically used in the literature. We show that the optimal nearest neighbour algorithm and its parameters depend on the dataset characteristics and describe an automated configuration procedure for finding the best algorithm to search a particular dataset. In order to scale to very large datasets that would otherwise not fit in the memory of a single machine, we propose a distributed nearest neighbour matching framework that can be used with any of the algorithms described in the thesis. All this research has been released as an open source library called FLANN (Fast Library for Approximate Nearest Neighbours), which has been incorporated into OpenCV and is now one of the most popular libraries for nearest neighbour matching.
Les cercles d’auteurs : de l’action à la formation
Creators: name: RICS, Revue
name: Tremblay, Ophélie
name: Turgeon, Élaine
Publisher: name: figshare
Year: 2021
Subjects: Education

description: En nous appuyant sur l’ensemble des résultats obtenus dans un projet de recherche-action sur l’enseignement de l’écriture, nous avons intégré la démarche des cercles d’auteurs dans nos pratiques de formation des enseignant.e.s en didactique de l’écriture. En tout, ce sont trois cours au baccalauréat en éducation préscolaire et enseignement primaire qui sont touchés par cette intégration de la démarche. Dans ces cours, les cercles d’auteurs sont abordés à la fois comme objet d’apprentissage et comme dispositif de formation. En effet, tout comme dans notre projet de recherche-action, nous avons recours à l’approche expérientielle et faisons vivre la démarche des cercles d’auteurs aux étudiant.e.s, pour ensuite en approfondir les fondements théoriques et pratiques et les relier aux contenus des programmes ministériels pour l’apprentissage de l’écriture. Notre article présente la recherche-action menée sur le terrain, puis ses retombées dans nos pratiques de formation universitaire auprès des futur.e.s enseignant.e.s du primaire.
Second cohomology for finite groups of Lie type
Creators: name: Boe, Brian D.
name: Bonsignore, Brian
name: Brons, Theresa
name: Carlson, Jon F.
name: Chastkofsky, Leonard
name: Drupieski, Christopher M.
name: Johnson, Niles
name: Nakano, Daniel K.
name: Li, Wenjing
name: Luu, Phong Thanh
name: Macedo, Tiago
name: Ngo, Nham Vo
name: Samples, Brandon L.
name: Talian, Andrew J.
name: Townsley, Lisa
name: Wyser, Benjamin J.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Representation Theory (math.RT)
subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 20G10, 20C33 (Primary) 20G05, 20J06 (Secondary)

description: Let $G$ be a simple, simply-connected algebraic group defined over $\mathbb{F}_p$. Given a power $q = p^r$ of $p$, let $G(\mathbb{F}_q) \subset G$ be the subgroup of $\mathbb{F}_q$-rational points. Let $L(λ)$ be the simple rational $G$-module of highest weight $λ$. In this paper we establish sufficient criteria for the restriction map in second cohomology $H^2(G,L(λ)) \rightarrow H^2(G(\mathbb{F}_q),L(λ))$ to be an isomorphism. In particular, the restriction map is an isomorphism under very mild conditions on $p$ and $q$ provided $λ$ is less than or equal to a fundamental dominant weight. Even when the restriction map is not an isomorphism, we are often able to describe $H^2(G(\mathbb{F}_q),L(λ))$ in terms of rational cohomology for $G$. We apply our techniques to compute $H^2(G(\mathbb{F}_q),L(λ))$ in a wide range of cases, and obtain new examples of nonzero second cohomology for finite groups of Lie type.
description: 29 pages, GAP code included as an ancillary file. Rewritten to include the adjoint representation in types An, B2, and Cn. Corrections made to Theorem 3.1.3 and subsequent dependent results in Sections 3-4. Additional minor corrections and improvements also implemented
Entanglement dynamics in a non-Markovian environment: an exactly solvable model
Creators: name: Wilson, Justin H.
name: Fregoso, Benjamin M.
name: Galitski, Victor M.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study the non-Markovian effects on the dynamics of entanglement in an exactly-solvable model that involves two independent oscillators each coupled to its own stochastic noise source. First, we develop Lie algebraic and functional integral methods to find an exact solution to the single-oscillator problem which includes an analytic expression for the density matrix and the complete statistics, i.e., the probability distribution functions for observables. For long bath time-correlations, we see non-monotonic evolution of the uncertainties in observables. Further, we extend this exact solution to the two-particle problem and find the dynamics of entanglement in a subspace. We find the phenomena of `sudden death' and `rebirth' of entanglement. Interestingly, all memory effects enter via the functional form of the energy and hence the time of death and rebirth is controlled by the amount of noisy energy added into each oscillator. If this energy increases above (decreases below) a threshold, we obtain sudden death (rebirth) of entanglement.
description: 11 pages, 4 figures; revision for PRB
Summarizing software artifacts
Creators: name: Rastkar, Sarah
Publisher: name: University of British Columbia
Year: 2013

description: To answer an information need while performing a software task, a software developer sometimes has to interact with a lot of software artifacts. This interaction may involve reading through large amounts of information and many details of artifacts to find relevant information. In this dissertation, we propose the use of automatically generated natural language summaries of software artifacts to help a software developer more efficiently interact with software artifacts while trying to answer an information need. We investigated summarization of bug reports as an example of natural language software artifacts, summarization of crosscutting code concerns as an example of structured software artifacts and multi-document summarization of project documents related to a code change as an example of multi-document summarization of software artifacts. We developed summarization techniques for all the above cases. For bug reports, we used an extractive approach based on an existing supervised summarization system for conversational data. For crosscutting code concerns, we developed an abstractive summarization approach. For multi-document summarization of project documents, we developed an extractive supervised summarization approach. To establish the effectiveness of generated summaries in assisting software developers, the summaries were extrinsically evaluated by conducting user studies. Summaries of bug reports were evaluated in the context of bug report duplicate detection tasks. Summaries of crosscutting code concerns were evaluated in the context of software code change tasks. Multi-document summaries of project documents were evaluated by investigating whether project experts find summaries to contain information describing the reason behind the corresponding code changes. The results show that reasonably accurate natural language summaries can be automatically produced for different types of software artifacts and that the generated summaries are effective in helping developers address their information needs.
title: Role of Volumetric Analysis in Correlation of Gender and Atrophy in Demetia in Clinical Practice
Creators: name: JOSHI, ANIRUDDHA
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Neuroradiology brain
subject: MR
subject: Screening
subject: Segmentation
subject: Dementia

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Aim: Dementia is a chronic progressive neurological disorder which affects the day to day life activity of an individual due to impairment of cognitive as well as behavioural functions(1). Cognitive functions impairment leads to deterioration in...
title: The feasibility of coronary calcium scoring on the non-enhanced chest CT with 16cm axial volume scan technique: a prospective pilot study
Creators: name: KI, SOJUNG
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Cardiac
subject: Cardiovascular system
subject: Computer applications
subject: CT
subject: Computer Applications-Detection, diagnosis
subject: Calcifications / Calculi

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: The Coronary artery calcification score (CACS) is a quantitative measurement of the extent of coronary calcification, and it is highly correlated with the total amount of atherosclerotic plaques, and is known to be an independent predictor of...
Linear correlations between 4He trimer and tetramer energies calculated with various realistic 4He potentials
Creators: name: Hiyama, E.
name: Kamimura, M.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Nuclear Theory (nucl-th)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: In a previous work [Phys. Rev. A 85, 022502 (2012)] we calculated, with the use of our Gaussian expansion method for few-body systems, the energy levels and spatial structure of the 4He trimer and tetramer ground and excited states using the LM2M2 potential, which has a very strong short-range repulsion. In this work, we calculate the same quantities using the presently most accurate 4He-4He potential [M. Przybytek et al., Phys. Rev. Lett. 104, 183003 (2010)] that includes the adiabatic, relativistic, QED and residual retardation corrections. Contributions of the corrections to the tetramer ground-(excited-)state energy, -573.90 (-132.70) mK, are found to be, respectively, -4.13 (-1.52) mK, +9.37 (+3.48) mK, -1.20 (-0.46) mK and +0.16 (+0.07) mK. Further including other realistic 4He potentials, we calculated the binding energies of the trimer and tetramer ground and excited states, B_3^(0), B_3^(1), B_4^(0) and B_4^(1), respectively. We found that the four kinds of the energies for the different potentials exhibit perfect linear correlations between any two of them over the range of binding energies relevant for 4He atoms (namely, six types of the generalized Tjon lines are given). The dimerlike-pair model for 4He clusters, proposed in the previous work, predicts a simple universal relation B_4^(1)/B_2 =B_3^(0)/B_2 + 2/3, which precisely explains the correlation between the tetramer excited-state energy and the trimer ground-state energy, with B_2 being the dimer binding energy.
description: 10 pages, 3 figures, published version in Phys. Rev. A85, 062505 (2012), Figs. 2, 5, and 6 added, minor changes in the description of the dimerlike-pair model
Moving Multi-Channel Systems in a Finite Volume with Application to Proton-Proton Fusion
Creators: name: Briceno, Raul A.
name: Davoudi, Zohreh
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The spectrum of a system with multiple channels composed of two hadrons with nonzero total momentum is determined in a finite cubic volume with periodic boundary conditions using effective field theory methods. The results presented are accurate up to exponentially suppressed corrections in the volume due to the finite range of hadronic interactions. The formalism allows one to determine the phase shifts and mixing parameters of pipi-KK isosinglet coupled channels directly from Lattice Quantum Chromodynamics. We show that the extension to more than two channels is straightforward and present the result for three channels. From the energy quantization condition, the volume dependence of electroweak matrix elements of two-hadron processes is extracted. In the non-relativistic case, we pay close attention to processes that mix the 1S0-3S1 two-nucleon states, e.g. proton-proton fusion (pp -> d+ e^+ + nu_e), and show how to determine the transition amplitude of such processes directly from lattice QCD.
description: 20 pages, 3 figures
title: Atomwende: Abschaltung von Kernkraftwerken eröffnet Perspektiven für die Endlagersuche
Creators: name: Kendziorski, Mario
name: Kemfert, Claudia
name: Präger, Fabian
name: Hirschhausen, Christian Von
name: Sogalla, Robin
name: Steigerwald, Björn
name: Wealer, Ben
name: Weinhold, Richard
name: Weyhing, Christoph
Publisher: name: DIW - Deutsches Institut für Wirtschaftsforschung
Year: 2021
Subjects: subject: L51 Economics of Regulation
subject: L94 Electric Utilities
subject: Q48 Energy: Government Policy
subject: nuclear power
subject: economics
subject: Europe
subject: Germany

description: Mit der Abschaltung der verbleibenden sechs Kernkraftwerke geht die kommerzielle Nutzung zur Stromerzeugung in Deutschland 2022 zu Ende. Angesichts ausreichender Kapazitäten – 2020 exportierte die deutsche Stromwirtschaft mit 20 Terawattstunden ungefähr vier Prozent ihrer Stromproduktion – und der Einbindung in das europäische Stromsystem sind keine Beeinträchtigungen der Versorgungssicherheit zu befürchten. Auch die Auswirkungen auf Stromflüsse und lokale Angebots- und Nachfragesituationen werden nach Modellrechnungen gering bleiben. Die Abschaltung der noch laufenden Kernkraftwerke ist auch eine notwendige Bedingung für die Akzeptanz der Endlagerung radioaktiver Abfälle, welche nach mehreren erfolglosen Anläufen mit dem Standortauswahlgesetz von 2017 nunmehr konkret auf der Tagesordnung steht und bis 2031 entschieden werden soll. Weitere Schritte der Atomwende beinhalten die Streichung von bestehenden und die Vermeidung neuer Subventionen.
description: DIW Wochenbericht, 88 (2021), 47, S. 767-774
title: Early detection of dementia in practice using volumetry based on structural MRI
Creators: name: JOSHI, ANIRUDDHA
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Neuroradiology brain
subject: MR
subject: Computer Applications-Detection, diagnosis
subject: Dementia

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: WHO states that around 50 million people in the whole world are suffering from dementia with an increase of 10 million cases every year.[1] Dementia is a common neurodegenerative disorder which is generally found in people above 55 years of agewhich...
Prediction of the inhibitory concentrations of chloroquine derivatives using deep neural networks models
Creators: name: Du, Zhe
name: Yang, Hong
name: Lv, Wen-Juan
name: Zhang, Xiao-Yun
name: Zhai, Hong-Lin
Publisher: name: Taylor & Francis
Year: 2020
Subjects: Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified

description: In recent years, deep neural networks have begun to receive much attention, which has obvious advantages in feature extraction and modeling. However, in the using of deep neural networks for the QSAR modeling process, the selection of various parameters (number of neurons, hidden layers, transfer functions, data set partitioning, number of iterations, etc.) becomes difficult. Thus, we proposed a new and easy method for optimizing the model and selecting Deep Neural Networks (DNN) parameters through uniform design ideas and orthogonal design methods. By using this approach, 222 chloroquine (CQ) derivatives with half maximal inhibitory concentration values reported in different kinds of literature were selected to establish DNN models and a total number of 128,000 DNN models were built to determine the optimized parameters for selecting the better models. Comparing with linear and Artificial Neural Network (ANN) models, we found that DNN models showed better performance. Communicated by Ramaswamy H. Sarma
title: Preliminary diffusion kurtosis imaging study of head and neck squamous cell carcinomas associated with metastatic lymph nodes
Creators: name: Su, Tong
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Head and neck
subject: Lymph nodes
subject: MR
subject: MR-Diffusion/Perfusion
subject: Efficacy studies
subject: Multidisciplinary cancer care
subject: Cancer

description: Aims and objectives Methods and materials Results Conclusion Personal information References
description: Aims and objectives: Diffusion-weighted imaging (DWI) has been widely applied to head and neck tumor characterization, staging, treatment response and post-therapy surveillance1-5. However, motion and magnetic-sensitive artifacts caused by susceptibility-based...
The Cosmic Abundance of Classical Milky Way Satellites
Creators: name: Strigari, Louis E.
name: Wechsler, Risa H.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We study the abundance of satellites akin to the brightest, classical dwarf spheroidals around galaxies similar in magnitude and isolation to the Milky Way and M31 in the Sloan Digital Sky Survey. From a combination of photometric and spectroscopic redshifts, we bound the mean and the intrinsic scatter in the number of satellites down to ten magnitudes fainter than the Milky Way. Restricting to magnitudes brighter than Sagittarius, we show that the Milky Way is not a significant statistical outlier in its population of classical dwarf spheroidals. At fainter magnitudes, we find an upper limit of 13 on the mean number of satellites brighter than the Fornax dwarf spheroidal. Methods to improve these limits that utilize full photometric redshift distributions hold promise, but are currently limited by incompleteness at the very lowest redshifts. Theoretical models are left to explain why the majority of dark matter subhalos that orbit Milky Way-like galaxies are inefficient at making galaxies at the luminosity scale of the brightest dwarf spheroidals, or why these subhalos predicted by Lambda-CDM do not exist.
description: 8 pages, 2 figures
Formulae for the number of partitions of n into at most m parts (using the quasi-polynomial ansatz)
Creators: name: Sills, Andrew V.
name: Zeilberger, Doron
Publisher: name: arXiv
Year: 2011
Subjects: subject: Combinatorics (math.CO)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 05A17, 11P81

description: The purpose of this short article is to announce, and briefly describe, a Maple package, PARTITIONS, that (inter alia) completely automatically discovers, and then proves, explicit expressions (as sums of quasi-polynomials) for pm(n) for any desired m. We do this to demonstrate the power of "rigorous guessing" as facilitated by the quasi-polynomial ansatz.
title: Endovascular management of Uterine Arteriovenous malformation- An alternative to surgery
Creators: name: Pankar, Uma
Publisher: name: European Congress of Radiology
Year: 2019
Subjects: subject: Arteriovenous malformations
subject: Embolisation
subject: Ultrasound-Colour Doppler
subject: MR
subject: Catheter arteriography
subject: Pelvis
subject: Interventional vascular
subject: Genital / Reproductive system female

description: Learning objectives Background Findings and procedure details Conclusion Personal information References
description: Learning objectives: To understand the pathophysiology and describe the types of uterine Arteriovenous malformation.(AVM) To describe the clinical presentation and associations of uterine AVM. To learn the USG, cross sectional and angiographic signs of uterine AVM. To...
title: Junge Forschende sollten lernen, ihre Arbeit besser zu verkaufen: Kommentar
Creators: name: Haan, Peter
name: Kübler, Dorothea
Publisher: name: DIW - Deutsches Institut für Wirtschaftsforschung
Year: 2021

description: DIW Wochenbericht, 88 (2021), 46, S. 764
Prediction of the inhibitory concentrations of chloroquine derivatives using Deep Neural Networks models
Creators: name: Du, Zhe
name: Yang, Hong
name: Lv, Wen-Juan
name: Zhang, Xiao-Yun
name: Zhai, Hong-Lin
Publisher: name: Taylor & Francis
Year: 2020
Subjects: Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified

description: In recent years, deep neural networks have begun to receive much attention, which has obvious advantages in feature extraction and modeling. However, in the using of deep neural networks for the QSAR modeling process, the selection of various parameters (number of neurons, hidden layers, transfer functions, data set partitioning, number of iterations, etc.) becomes difficult. Thus, we proposed a new and easy method for optimizing the model and selecting Deep Neural Networks (DNN) parameters through uniform design ideas and orthogonal design methods. By using this approach, 222 chloroquine (CQ) derivatives with half maximal inhibitory concentration values reported in different kinds of literature were selected to establish DNN models and a total number of 128,000 DNN models were built to determine the optimized parameters for selecting the better models. Comparing with linear and Artificial Neural Network (ANN) models, we found that DNN models showed better performance.