cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Relazioni tra imprese e università nel biotech-salute dell'Emilia Romagna. Una valutazione sulla base della co-authorship delle pubblicazioni scientifiche
Creators: name: Roberto, Iorio
name: Sandrine, Labory
name: Daniele, Paci
Publisher: name: Universita' degli Studi di Salerno
Year: 2007
Subjects: innovation
university-industry relationship
scientific publications
biotechnology

description: Questo lavoro analizza il tema delle collaborazioni tra istituti di ricerca e imprese e le loro evoluzioni recenti, evidenziando il ruolo che può avere in un tale tipo di analisi un indicatore relativamente poco utilizzato, almeno in Italia: le pubblicazioni a firma congiunta. Il campo di osservazione sono le imprese dell’Emilia Romagna che lavorano nel settore della salute utilizzando le biotecnologie. L’analisi riguarda l’impatto che le dimensioni d’impresa hanno sulle collaborazioni con università, ospedali ed altre imprese; l’ambito territoriale delle collaborazioni; la struttura delle reti di collaborazione; le relazioni tra questi fattori e la qualità delle pubblicazioni stesse. Da queste osservazioni empiriche si cerca quindi di trarre delle implicazioni in termini di lineamenti di policy a livello locale.
Hipocampos, los caballitos de mar
Creators: name: Martínez, Gemma
name: Mascaró, Maite
name: Mendoza, Tonali
name: Ugalde, Diana
name: Simoes, Nuno
Publisher: name: Zenodo
Year: 2021
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Aquaculture
subject: Animal Behavior
subject: Marine Biology
subject: Caribbean
subject: Hippocampus
subject: caballito de mar
subject: ornamentales marinos
subject: acuicultura
subject: Seahorses
subject: Especies amenazadas
subject: Endangered Species

description: This Infographic is a product of BDMY (https://www.bdmy.org.mx) project, which was produced in collaboration with the Universidad Nacional Autónoma de México and A poco no. Available languages: Spanish, English, DOI 10.5281/zenodo.4549896 Portuguese, DOI 10.5281/zenodo.4549912

 The information in the infographic was reviewed and validated by a group of specialists in the taxon. CC-BY-NC-ND
title: Spinal Fracture Characteristics in Ankylosing Spondylitis
Creators: name: Örgüç, Ihsan Sebnem
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Trauma
subject: Diagnostic procedure
subject: MR
subject: CT
subject: Trauma
subject: Musculoskeletal spine

description: Purpose Methods and Materials Results Conclusion References Personal Information
description: Purpose: Susceptibility to weak trauma has increased due to severe ankylosis that occur at the spine in ankylosing spondylitis patients (AS). The trauma affects the anterior-medial and posterior vertebral column due to the change of mechanical load...
Modelling nonlinear dynamics of interacting tipping elements on complex networks: the PyCascades package
Creators: name: Wunderling, Nico
name: Krönke, Jonathan
name: Wohlfarth, Valentin
name: Kohler, Jan
name: Heitzig, Jobst
name: Staal, Arie
name: Willner, Sven
name: Winkelmann, Ricarda
name: Donges, Jonathan F.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Chaotic Dynamics (nlin.CD)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: Tipping elements occur in various systems such as in socio-economics, ecology and the climate system. In many cases, the individual tipping elements are not independent from each other, but they interact across scales in time and space. To model systems of interacting tipping elements, we here introduce the PyCascades open source software package for studying interacting tipping elements (doi: 10.5281/zenodo.4153102). PyCascades is an object-oriented and easily extendable package written in the programming language Python. It allows for investigating under which conditions potentially dangerous cascades can emerge between interacting dynamical systems, with a focus on tipping elements. With PyCascades it is possible to use different types of tipping elements such as double-fold and Hopf types and interactions between them. PyCascades can be applied to arbitrary complex network structures and has recently been extended to stochastic dynamical systems. This paper provides an overview of the functionality of PyCascades by introducing the basic concepts and the methodology behind it. In the end, three examples are discussed, showing three different applications of the software package. First, the moisture recycling network of the Amazon rainforest is investigated. Second, a model of interacting Earth system tipping elements is discussed. And third, the PyCascades modelling framework is applied to a global trade network.
Hipocampos, los caballitos de mar
Creators: name: Martínez, Gemma
name: Mascaró, Maite
name: Mendoza, Tonali
Publisher: name: Zenodo
Year: 2021
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Aquaculture
subject: Animal Behavior
subject: Marine Biology
subject: Caribbean
subject: Hippocampus
subject: caballito de mar
subject: ornamentales marinos
subject: acuicultura
subject: Seahorses
subject: Especies amenazadas
subject: Endangered Species

description: This Infographic is a product of BDMY (https://www.bdmy.org.mx) project, which was produced in collaboration with the Universidad Nacional Autónoma de México and A poco no. Available languages: Spanish, English, DOI 10.5281/zenodo.4549896 Portuguese, DOI 10.5281/zenodo.4549912

 The information in the infographic was reviewed and validated by a group of specialists in the taxon. CC-BY-NC-ND
A Brunn-Minkowski type inequality for extended symplectic capacities of convex domains and length estimate for a class of billiard trajectories
Creators: name: Jin, Rongrong
name: Lu, Guangcun
Publisher: name: arXiv
Year: 2023
Subjects: subject: Symplectic Geometry (math.SG)
subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 53D35, 53C23 (primary), 70H05, 37J05, 57R17 (secondary)

description: In this paper, we firstly generalize the Brunn-Minkowski type inequality for Ekeland-Hofer-Zehnder symplectic capacity of bounded convex domains established by Artstein-Avidan-Ostrover in 2008 to extended symplectic capacities of bounded convex domains constructed by authors based on a class of Hamiltonian non-periodic boundary value problems recently. Then we introduce a class of non-periodic billiards in convex domains, and for them we prove some corresponding results to those for periodic billiards in convex domains obtained by Artstein-Avidan-Ostrover in 2012.
description: Latex, 29 pages. Final version. To appear in Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg Abh.Math. Semin. Univ.Hambg. The preprint arXiv:1903.01116[math.SG] was split into two papers. This is one of them. arXiv admin note: substantial text overlap with arXiv:1903.01116
Measurement-Based Noiseless Linear Amplification for Quantum Communication
Creators: name: Chrzanowski, Helen M.
name: Walk, Nathan
name: Assad, Syed M.
name: Janousek, Jiri
name: Hosseini, Sara
name: Ralph, Timothy C.
name: Symul, Thomas
name: Lam, Ping Koy
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Entanglement distillation is an indispensable ingredient in extended quantum communication networks. Distillation protocols are necessarily non-deterministic and require advanced experimental techniques such as noiseless amplification. Recently it was shown that the benefits of noiseless amplification could be extracted by performing a post-selective filtering of the measurement record to improve the performance of quantum key distribution. We apply this protocol to entanglement degraded by transmission loss of up to the equivalent of 100km of optical fibre. We measure an effective entangled resource stronger than that achievable by even a maximally entangled resource passively transmitted through the same channel. We also provide a proof-of-principle demonstration of secret key extraction from an otherwise insecure regime. The measurement-based noiseless linear amplifier offers two advantages over its physical counterpart: ease of implementation and near optimal probability of success. It should provide an effective and versatile tool for a broad class of entanglement-based quantum communication protocols.
description: 7+3 pages, 5+1 figures, close to published version
Optical link acquisition for the LISA mission with in-field pointing architecture
Creators: name: Hechenblaikner, Gerald
name: Delchambre, Simon
name: Ziegler, Tobias
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Signal Processing (eess.SP)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We present a comprehensive simulation of the spatial acquisition of optical links for the LISA mission in the in-field pointing architecture, where a fast pointing mirror is used to move the field-of-view of the optical transceiver, which was studied as an alternative scheme to the baselined telescope pointing architecture. The simulation includes a representative model of the far-field intensity distribution and the beam detection process using a realistic detector model, and a model of the expected platform jitter for two alternative control modes with different associated jitter spectra. For optimally adjusted detector settings and accounting for the actual far-field beam profile, we investigate the dependency of acquisition performance on the jitter spectrum and the track-width of the search spiral, while scan speed and detector integration time are varied over several orders of magnitude. Results show a strong dependency of the probability for acquisition failure on the width of the auto-correlation function of the jitter spectrum, which we compare to predictions of analytical models. Depending on the choice of scan speed, three different regimes may be entered which differ in failure probability by several orders of magnitude. We then use these results to optimize the acquisition architecture for the given jitter spectra with respect to failure rate and overall duration, concluding that the full constellation could be acquired on average in less than one minute. Our method and findings can be applied to any other space mission using a fine-steering mirror for link acquisition.
description: 10 pages, 7 figures, two columns
Algebraic deformation for (S)PDEs
Creators: name: Bruned, Yvain
name: Manchon, Dominique
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: Numerical Analysis (math.NA)
subject: Analysis of PDEs (math.AP)
subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics

description: We introduce a new algebraic framework based on the deformation of pre-Lie products. This allows us to provide a new construction of the algebraic objects at play in Regularity Structures in the work arXiv:1610.08468 and in arXiv:2005.01649 for deriving a general scheme for dispersive PDEs at low regularity. This construction also explains how the algebraic structure in arXiv:1610.08468 can be viewed as a deformation of the Butcher-Connes-Kreimer and the extraction-contraction Hopf algebras. We start by deforming various pre-Lie products via a Taylor deformation and then we apply the Guin-Oudom procedure which gives us an associative product whose adjoint can be compared with known coproducts. This work reveals that pre-Lie products and their deformation can be a central object in the study of (S)PDEs.
description: To appear in the Journal of the Mathematical Society of Japan
Concentration estimates for random subspaces of a tensor product, and application to Quantum Information Theory
Creators: name: Collins, Benoît
name: Parraud, Félix
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: Operator Algebras (math.OA)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: Given a random subspace $H_n$ chosen uniformly in a tensor product of Hilbert spaces $V_n\otimes W$, we consider the collection $K_n$ of all singular values of all norm one elements of $H_n$ with respect to the tensor structure. A law of large numbers has been obtained for this random set in the context of $W$ fixed and the dimension of $H_n$ and $V_n$ tending to infinity at the same speed in a paper of Belinschi, Collins and Nechita. In this paper, we provide measure concentration estimates in this context. The probabilistic study of $K_n$ was motivated by important questions in Quantum Information Theory, and allowed to provide the smallest known dimension (184) for the dimension an an ancilla space allowing Minimum Output Entropy (MOE) violation. With our estimates, we are able, as an application, to provide actual bounds for the dimension of spaces where violation of MOE occurs.
title: A Pictorial Review of Unusual Musculoskeletal Manifestations of Myeloma
Creators: name: Aggarwal, Smeer
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Musculoskeletal bone
subject: Musculoskeletal spine
subject: Musculoskeletal soft tissue
subject: MR
subject: CT
subject: Ultrasound
subject: Diagnostic procedure
subject: Staging
subject: Metastases

description: Learning objectives Background Imaging findings OR Procedure Details Conclusion References Personal Information
description: Learning objectives: - Recognise myeloma as a multisystem disease, with a heavy musculoskeletal burden - Highlight the need for review of unusual locations including the CNS - Understand that, whilst uncommon, myeloma deposits can occur anywhere in the body as solid...
Causal Vaccine Effects on Binary Postinfection Outcomes
Creators: name: Halloran, M. Elizabeth
name: Hudgens, Michael G
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2006

description: The effects of vaccine on postinfection outcomes, such as disease, death, and secondary transmission to others, are important scientific and public health aspects of prophylactic vaccination. As a result, evaluation of many vaccine effects condition on being infected. Conditioning on an event that occurs posttreatment (in our case, infection subsequent to assignment to vaccine or control) can result in selection bias. Moreover, because the set of individuals who would become infected if vaccinated is likely not identical to the set of those who would become infected if given control, comparisons that condition on infection do not have a causal interpretation. In this article we consider identifiability and estimation of causal vaccine effects on binary postinfection outcomes. Using the principal stratification framework, we define a postinfection causal vaccine efficacy estimand in individuals who would be infected regardless of treatment assignment. The estimand is shown to be not identifiable under the standard assumptions of the stable unit treatment value, monotonicity, and independence of treatment assignment. Thus selection models are proposed that identify the causal estimand. Closed-form maximum likelihood estimators (MLEs) are then derived under these models, including those assuming maximum possible levels of positive and negative selection bias. These results show the relations between the MLE of the causal estimand and two commonly used estimators for vaccine effects on postinfection outcomes. For example, the usual intent-to-treat estimator is shown to be an upper bound on the postinfection causal vaccine effect provided that the magnitude of protection against infection is not too large. The methods are used to evaluate postinfection vaccine effects in a clinical trial of a rotavirus vaccine candidate and in a field study of a pertussis vaccine. Our results show that pertussis vaccination has a significant causal effect in reducing disease severity.
Ambarzumian-type problems for discrete Schrödinger operators
Creators: name: Eakins, Jerik
name: Frendreiss, William
name: Hatinoğlu, Burak
name: Lamb, Lucille
name: Manage, Sithija
name: Puente, Alejandra
Publisher: name: arXiv
Year: 2021
Subjects: subject: Spectral Theory (math.SP)
subject: FOS: Mathematics
subject: 39A06, 39A70, 47B36, 47B39

description: We discuss the problem of unique determination of the finite free discrete Schrödinger operator from its spectrum, also known as Ambarzumian problem, with various boundary conditions, namely any real constant boundary condition at zero and Floquet boundary conditions of any angle. Then we prove the following Ambarzumian-type mixed inverse spectral problem: Diagonal entries except the first and second ones and a set of two consecutive eigenvalues uniquely determine the finite free discrete Schrödinger operator.
Nearest Labelset Using Double Distances for Multi-label Classification
Creators: name: Gweon, Hyukjun
name: Schonlau, Matthias
name: Steiner, Stefan
Publisher: name: arXiv
Year: 2017
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Multi-label classification is a type of supervised learning where an instance may belong to multiple labels simultaneously. Predicting each label independently has been criticized for not exploiting any correlation between labels. In this paper we propose a novel approach, Nearest Labelset using Double Distances (NLDD), that predicts the labelset observed in the training data that minimizes a weighted sum of the distances in both the feature space and the label space to the new instance. The weights specify the relative tradeoff between the two distances. The weights are estimated from a binomial regression of the number of misclassified labels as a function of the two distances. Model parameters are estimated by maximum likelihood. NLDD only considers labelsets observed in the training data, thus implicitly taking into account label dependencies. Experiments on benchmark multi-label data sets show that the proposed method on average outperforms other well-known approaches in terms of Hamming loss, 0/1 loss, and multi-label accuracy and ranks second after ECC on the F-measure.
title: Usefulness of Dynamic Contrast-Enhanced MRI in differentiating between diabetic foot osteomyelitis and bone oedema
Creators: name: Garcia Diez, Ana Isabel
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Infection
subject: Diagnostic procedure
subject: MR-Functional imaging
subject: Musculoskeletal bone

description: Purpose Methods and Materials Results Conclusion References Personal Information
description: Purpose: Current challenge in diabetic foot MR imaging is the modality of choice for the evaluation of bone and soft-tissue infection in diabetic foot, the diagnostic is feasible when is observed low signal intensity on T1-weighted images in bone marrow...
Quantum computing online workshops and hackathon for Spanish speakers: A case study
Creators: name: Maldonado-Romo, Alberto
name: Yeh, Lia
Publisher: name: arXiv
Year: 2023
Subjects: subject: Physics Education (physics.ed-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We discuss the challenges and findings of organizing an online event in Spanish, consisting of a series of introductory workshops leading up to a quantum hackathon for Latin America. 220 Spanish speakers were registered, 66% of whom self-identified as being at an introductory level of quantum computing. We gain a better picture of the impact of quantum computing in Latin America, and the importance of generating educational resources in Spanish about quantum computing. Additionally, we report results on surveying the participants by country; educational status; self-reported levels of quantum computing, linear algebra, and Python competency; and their areas of interest within quantum. This event was organized by Quantum Universal Education with the Centro de Investigación en Computación del Instituto Politécnico Nacional (CIC-IPN) as the host institution, in collaboration with a number of organizations and companies: IBM Quantum, Xanadu, Multiverse Computing, Quantum Universal Education, Quantum Hispano, QMexico, Haq.ai, Dive in Learning. This was part of a larger event, the Qiskit Fall Fest 2021, as one of several hackathons organized around the world in a similar span of time. In each Qiskit Fall Fest hackathon, participants were challenged to form teams of up to 5, to develop in 5 days a project using the IBM Qiskit framework.
description: In proceedings of the 3rd IEEE International Conference on Quantum Computing and Engineering (QCE), presented at the co-located 1st Quantum Science and Engineering Education Conference (QSEEC) in September 2022
Semiparametric Transformation Models With Random Effects for Recurrent Events
Creators: name: Zeng, Donglin
name: Lin, D. Y
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2007

description: In this article we study a class of semiparametric transformation models with random effects for the intensity function of the counting process. These models provide considerable flexibility in formulating the effects of possibly time-dependent covariates on the developments of recurrent events while accounting for the dependence of the recurrent event times within the same subject. We show that the nonparametric maximum likelihood estimators (NPMLEs) for the parameters of these models are consistent and asymptotically normal. The limiting covariance matrices for the estimators of the regression parameters achieve the semiparametric efficiency bounds and can be consistently estimated. The limiting covariance function for the estimator of any smooth functional of the cumulative intensity function also can be consistently estimated. We develop a simple and stable EM algorithm to compute the NPMLEs as well as the variance and covariance estimators. Simulation studies demonstrate that the proposed methods perform well in practical situations. Two medical studies are provided for illustrations.
Multi-redshift limits on the 21cm power spectrum from PAPER
Creators: name: Jacobs, Daniel C.
name: Pober, Jonathan C.
name: Parsons, Aaron R.
name: Aguirre, James E.
name: Ali, Zaki
name: Bowman, Judd
name: Bradley, Richard F.
name: Carilli, Chris L.
name: DeBoer, David R.
name: Dexter, Matthew R.
name: Gugliucci, Nicole E.
name: Klima, Pat
name: Liu, Adrian
name: MacMahon, Dave H. E.
name: Manley, Jason R.
name: Moore, David F.
name: Stefan, Irina I.
name: Walbrugh, William P.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: The epoch of reionization power spectrum is expected to evolve strongly with redshift, and it is this variation with cosmic history that will allow us to begin to place constraints on the physics of reionization. The primary obstacle to the measurement of the EoR power spectrum is bright foreground emission. We present an analysis of observations from the Donald C. Backer Precision Array for Probing the Epoch of Reionization (PAPER) telescope which place new limits on the HI power spectrum over the redshift range of $7.5
description: 9 pages, submitted to apj, fixed author list and abstract typo
Mutually exciting point process graphs for modelling dynamic networks
Creators: name: Passino, Francesco Sanna
name: Heard, Nicholas A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Social and Information Networks (cs.SI)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: A new class of models for dynamic networks is proposed, called mutually exciting point process graphs (MEG). MEG is a scalable network-wide statistical model for point processes with dyadic marks, which can be used for anomaly detection when assessing the significance of future events, including previously unobserved connections between nodes. The model combines mutually exciting point processes to estimate dependencies between events and latent space models to infer relationships between the nodes. The intensity functions for each network edge are characterised exclusively by node-specific parameters, which allows information to be shared across the network. This construction enables estimation of intensities even for unobserved edges, which is particularly important in real world applications, such as computer networks arising in cyber-security. A recursive form of the log-likelihood function for MEG is obtained, which is used to derive fast inferential procedures via modern gradient ascent algorithms. An alternative EM algorithm is also derived. The model and algorithms are tested on simulated graphs and real world datasets, demonstrating excellent performance.
Current Methods for Recurrent Events Data With Dependent Termination: A Bayesian Perspective
Creators: name: Maiti, Tapabrata
name: Ibrahim, Joseph G
name: Sinha, Debajyoti
name: Ouyang, Bichun
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2008

description: There has been a recent surge of interest in modeling and methods for analyzing recurrent events data with risk of termination dependent on the history of the recurrent events. To aid the future users in understanding the implications of modeling assumptions and modeling properties, we review the state of the art statistical methods and present novel theoretical properties, identifiability results and practical consequences of key modeling assumptions of several fully specified stochastic models. After introducing stochastic models with noninformative termination process, we focus on a class of models which allows both negative and positive association between the risk of termination and the rate of recurrent events via a frailty variable. We also discuss the relationship as well as the major differences between these models in terms of their motivations and physical interpretations. We discuss associated Bayesian methods based on Markov chain Monte Carlo tools, and novel model diagnostic tools to perform inference based on fully specified models. We demonstrate the usefulness of current methodology through an analysis of a data set from a clinical trial. In conclusion, we explore possible future extensions and limitations of the methodology.
title: Clinically Significant Variants in Musculoskeletal Imaging
Creators: name: Astrinakis, Emmanuel
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Musculoskeletal system
subject: Anatomy
subject: Musculoskeletal soft tissue
subject: CT
subject: MR
subject: Ultrasound
subject: Diagnostic procedure
subject: Congenital

description: Learning objectives Background Imaging findings OR Procedure Details Conclusion References Personal Information
description: Learning objectives: This poster aims to: - Outline a few musculoskeletal variants commonly encountered in daily practice, - Describe imaging findings associated, and - Discuss their clinical significance or...
Isobar configurations: $ΔN$ correlations versus the independent particle model
Creators: name: Glavanakov, I. V.
name: Tabachenko, A. N.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We present a comparative analysis of two models for the $A( {γ,\,πN})B$ reaction, which take into account the isobar configurations in the ground state of the nuclei: the $ΔN$ correlation model and the quasifree pion photoproduction model. The considered models differ in their descriptions of the nucleus states. The $ΔN$ correlation model takes into account the dynamic correlations of the nucleon and isobar formed in the virtual transition $NN \to ΔN$, and in the quasifree pion photoproduction model, isobars and nucleons in the nucleus are considered as independent constituents. The predictions of the models are considered for two reactions ${}^{16}$O$( {γ,\,π^{ +} p} ){}^{15}$C and ${}^{16}$O$( {γ,\,π^{ -} p} ){}^{15}$O. It is shown, that the two models predict the differential cross section significantly differing both in absolute values, and in the shape of the angular dependence. We compare the results of the $ΔN$ correlation model for the $( {γ,\,πN} )$ and $( {γ,\,πNN})$ reactions with the ${}^{16}$O$( {γ,\, π^{ -} p})$ reaction data measured at BNL. Our results give support to the $ΔN$ correlation model.
description: LaTex 2e, 11 pages, 8 eps figures
Model Selection Criteria for Missing-Data Problems Using the EM Algorithm
Creators: name: Zhu, Hongtu
name: Tang, Niansheng
name: Ibrahim, Joseph G.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2008

description: We consider novel methods for the computation of model selection criteria in missing-data problems based on the output of the EM algorithm. The methodology is very general and can be applied to numerous situations involving incomplete data within an EM framework, from covariates missing at random in arbitrary regression models to nonignorably missing longitudinal responses and/or covariates. Toward this goal, we develop a class of information criteria for missing-data problems, called ICH,Q, which yields the Akaike information criterion and the Bayesian information criterion as special cases. The computation of ICH,Q requires an analytic approximation to a complicated function, called the H-function, along with output from the EM algorithm used in obtaining maximum likelihood estimates. The approximation to the H-function leads to a large class of information criteria, called ICH̃(k),Q. Theoretical properties of ICH̃(k),Q, including consistency, are investigated in detail. To eliminate the analytic approximation to the H-function, a computationally simpler approximation to ICH,Q, called ICQ, is proposed, the computation of which depends solely on the Q-function of the EM algorithm. Advantages and disadvantages of ICH̃(k),Q and ICQ are discussed and examined in detail in the context of missing-data problems. Extensive simulations are given to demonstrate the methodology and examine the small-sample and large-sample performance of ICH̃(k),Q and ICQ in missing-data problems. An AIDS data set also is presented to illustrate the proposed methodology.
A metric characterization of freeness
Creators: name: Cadilhac, Léonard
name: Collins, Benoit
Publisher: name: arXiv
Year: 2021
Subjects: subject: Operator Algebras (math.OA)
subject: FOS: Mathematics
subject: 46L54

description: Let $\mathcal{M}$ be a finite von Neumann algebra and $u_1,\dots,u_N$ be unitaries in $\mathcal{M}$. We show that $u_1,\dots,u_N$ freely generate $L(\mathbb{F}_N)$ if and only if $$\left\|\sum_{i=1}^N u_i \otimes (u_i^{\mathrm{op}})^* + u_i^*\otimes u_i^{\mathrm{op}}\right\|_{\mathcal{M}\overline{\otimes}\mathcal{M}^{\mathrm{op}}} = 2\sqrt{2N - 1}.$$
description: 11 pages
Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
Creators: name: Zeng, Donglin
name: Johnson, Brent A
name: Lin, D. Y
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2008

description: We propose a general strategy for variable selection in semiparametric regression models by penalizing appropriate estimating functions. Important applications include semiparametric linear regression with censored responses and semiparametric regression with missing predictors. Unlike the existing penalized maximum likelihood estimators, the proposed penalized estimating functions may not pertain to the derivatives of any objective functions and may be discrete in the regression coefficients. We establish a general asymptotic theory for penalized estimating functions and present suitable numerical algorithms to implement the proposed estimators. In addition, we develop a resampling technique to estimate the variances of the estimated regression coefficients when the asymptotic variances cannot be evaluated directly. Simulation studies demonstrate that the proposed methods perform well in variable selection and variance estimation. We illustrate our methods using data from the Paul Coverdell Stroke Registry.
title: Common non malignant lesions presenting as sarcoma
Creators: name: Lee, Sangoh
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Cancer
subject: Normal variants
subject: Ultrasound
subject: MR
subject: Extremities

description: Learning objectives Background Imaging findings OR Procedure Details Conclusion References Personal Information
description: Learning objectives: 1- Common benign masses that are referred to the sarcoma multidisciplinary meetings as suspected sarcomas. 2- Imaging features of these masses with brief description. 3- Features that warrant further investigations such as...
142 GHz Multipath Propagation Measurements and Path Loss Channel Modeling in Factory Buildings
Creators: name: Ju, Shihao
name: Rappaport, Theodore S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper presents sub-Terahertz (THz) radio propagation measurements at 142 GHz conducted in four factories with various layouts and facilities to explore sub-THz wireless channels for smart factories in 6G and beyond. Here we study spatial and temporal channel responses at 82 transmitter-receiver (TX-RX) locations across four factories in the New York City area and over distances from 5 m to 85 m in both line-of-sight (LOS) and non-LOS (NLOS) environments. The measurements were performed with a sliding-correlation-based channel sounder with 1 GHz RF bandwidth with steerable directional horn antennas with 27 dBi gain and 8\degree~half-power beamwidth at both TX and RX, using both vertical and horizontal antenna polarizations, yielding over 75,000 directional power delay profiles. Channel measurements of two RX heights at 1.5 m (high) emulating handheld devices and at 0.5 m (low) emulating automated guided vehicles (AGVs) were conducted for automated industrial scenarios with various clutter densities. Results yield the first path loss models for indoor factory (InF) environments at 142 GHz and show the low RX height experiences a mean path loss increase of 10.7 dB and 6.0 dB when compared with the high RX height at LOS and NLOS locations, respectively. Furthermore, flat and rotatable metal plates were leveraged as passive reflecting surfaces (PRSs) in channel enhancement measurements to explore the potential power gain on sub-THz propagation channels, demonstrating a range from 0.5 to 22 dB improvement with a mean of 6.5 dB in omnidirectional channel gain as compared to when no PRSs are present.
description: 6 pages, 8 figures
Convergence for noncommutative rational functions evaluated in random matrices
Creators: name: Collins, Benoît
name: Mai, Tobias
name: Miyagawa, Akihiro
name: Parraud, Félix
name: Yin, Sheng
Publisher: name: arXiv
Year: 2021
Subjects: subject: Operator Algebras (math.OA)
subject: Probability (math.PR)
subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics

description: One of the main applications of free probability is to show that for appropriately chosen independent copies of $d$ random matrix models, any noncommutative polynomial in these $d$ variables has a spectral distribution that converges asymptotically and can be described with the help of free probability. This paper aims to show that this can be extended to noncommutative rational functions, answering an open question by Roland Speicher. This paper also provides a noncommutative probability approach to approximating the free field. At the algebraic level, its construction relies on the approximation by generic matrices. On the other hand, it admits many embeddings in the algebra of operators affiliated with a $II_1$ factor. A consequence of our result is that, as soon as the generators admit a random matrix model, the approximation of any self-adjoint noncommutative rational function by generic matrices can be upgraded at the level of convergence in distribution.
description: 27 pages. This version contains minor revisions and additional references
Properties and Implementation of Jeffreys’s Prior in Binomial Regression Models
Creators: name: Kim, Sungduk
name: Chen, Ming-Hui
name: Ibrahim, Joseph G.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2008

description: We study several theoretical properties of Jeffreys's prior for binomial regression models. We show that Jeffreys's prior is symmetric and unimodal for a class of binomial regression models. We characterize the tail behavior of Jeffreys's prior by comparing it with the multivariate t and normal distributions under the commonly used logistic, probit, and complementary log–log regression models. We also show that the prior and posterior normalizing constants under Jeffreys's prior are linear transformation-invariant in the covariates. We further establish an interesting theoretical connection between the Bayes information criterion and the induced dimension penalty term using Jeffreys's prior for binomial regression models with general links in variable selection problems. Moreover, we develop an importance sampling algorithm for carrying out prior and posterior computations under Jeffreys's prior. We analyze a real data set to illustrate the proposed methodology.
A parameter study of the eclipsing CV in the Kepler field, KIS J192748.53+444724.5
Creators: name: Littlefair, S. P.
name: Dhillon, V. S.
name: Gaensicke, B. T
name: Bours, M. C. P.
name: Copperwheat, C. M.
name: Marsh, T. R.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present high-speed, three-colour photometry of the eclipsing dwarf nova KIS J192748.53+444724.5 which is located in the Kepler field. Our data reveal sharp features corresponding to the eclipses of the accreting white dwarf followed by the bright spot where the gas stream joins the accretion disc. We determine the system parameters via a parameterized model of the eclipse fitted to the observed lightcurve. We obtain a mass ratio of q = 0.570 +/- 0.011 and an orbital inclination of 84.6 +/- 0.3 degrees. The primary mass is M_w = 0.69 +/- 0.07 Msun. The donor star's mass and radius are found to be M_d = 0.39 +/- 0.04 Msun and R_d = 0.43 +/- 0.01 Rsun, respectively. From the fluxes of the white dwarf eclipse we find a white dwarf temperature of T_w = 23000 +/- 3000 K, and a photometric distance to the system of 1600 +/- 200 pc, neglecting the effects of interstellar reddening. The white dwarf temperature in KISJ1927 implies the white dwarf is accreting at an average rate of Mdot = (1.4 +/- 0.8) x10e-9 Msun/yr, in agreement with estimates of the secular mass loss rate from the donor.
description: Accepted for publication in MNRAS
title: Systemic adverse reactions of fluoroscopically guided epidural steroid injection with dexamethasone
Creators: name: Kang, Woo Young
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Musculoskeletal spine
subject: Fluoroscopy
subject: Complications
subject: Drugs / Reactions

description: Purpose Methods and Materials Results Conclusion References Personal Information
description: Purpose: Epidural steroid injections (ESI) has been used in the treatment of radicular pain caused by herniated intervertebral disc or spinal canal stenosis. Although ESI are widely used as an effective treatment for spinal origin pain, there is still a...
Asymptotic Freeness of Layerwise Jacobians Caused by Invariance of Multilayer Perceptron: The Haar Orthogonal Case
Creators: name: Collins, Benoit
name: Hayase, Tomohiro
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Mathematical Physics (math-ph)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: G.3
subject: 68T07, 60B20

description: Free Probability Theory (FPT) provides rich knowledge for handling mathematical difficulties caused by random matrices that appear in research related to deep neural networks (DNNs), such as the dynamical isometry, Fisher information matrix, and training dynamics. FPT suits these researches because the DNN's parameter-Jacobian and input-Jacobian are polynomials of layerwise Jacobians. However, the critical assumption of asymptotic freenss of the layerwise Jacobian has not been proven completely so far. The asymptotic freeness assumption plays a fundamental role when propagating spectral distributions through the layers. Haar distributed orthogonal matrices are essential for achieving dynamical isometry. In this work, we prove asymptotic freeness of layerwise Jacobians of multilayer perceptron (MLP) in this case. A key of the proof is an invariance of the MLP. Considering the orthogonal matrices that fix the hidden units in each layer, we replace each layer's parameter matrix with itself multiplied by the orthogonal matrix, and then the MLP does not change. Furthermore, if the original weights are Haar orthogonal, the Jacobian is also unchanged by this replacement. Lastly, we can replace each weight with a Haar orthogonal random matrix independent of the Jacobian of the activation function using this key fact.
description: Any comments are welcomed. In v4, we changed notations for readability
title: Fractional Anisotropy and Diffusion Tensor Imaging in assessing intervertebral disc morpho-structural changes and corresponding nerve root level after percutaneous oxygen-ozone dis
Creators: name: Balzano, Rosario Francesco
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Hernia
subject: Experimental investigations
subject: MR
subject: Musculoskeletal spine

description: Purpose Methods and Materials Results Conclusion References Personal Information
description: Purpose: Low back pain (LBP) is a worldwide disabling condition that has important repercussions on patient’s quality of life (1). Disc herniation is one of the most important causes of LBP, with the involvement of lumbar nerve roots (especially L5 and S1)...
Toward Causal Inference With Interference
Creators: name: Hudgens, Michael G
name: Halloran, M. Elizabeth
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2008

description: A fundamental assumption usually made in causal inference is that of no interference between individuals (or units); that is, the potential outcomes of one individual are assumed to be unaffected by the treatment assignment of other individuals. However, in many settings, this assumption obviously does not hold. For example, in the dependent happenings of infectious diseases, whether one person becomes infected depends on who else in the population is vaccinated. In this article, we consider a population of groups of individuals where interference is possible between individuals within the same group. We propose estimands for direct, indirect, total, and overall causal effects of treatment strategies in this setting. Relations among the estimands are established; for example, the total causal effect is shown to equal the sum of direct and indirect causal effects. Using an experimental design with a two-stage randomization procedure (first at the group level, then at the individual level within groups), unbiased estimators of the proposed estimands are presented. Variances of the estimators are also developed. The methodology is illustrated in two different settings where interference is likely: assessing causal effects of housing vouchers and of vaccines.
title: Sacral and pelvic insufficiency fractures - Review of imaging findings and potential pitfalls in imaging interpretation
Creators: name: Mohamed Shah, Mohammad Taufik
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Education and training
subject: Education
subject: CT
subject: MR
subject: Digital radiography
subject: Musculoskeletal system

description: Learning objectives Background Imaging findings OR Procedure Details Conclusion References Personal Information
description: Learning objectives: (1) To provide a brief overview ofpelvic and sacral bony anatomy. (2) To review imaging findings of sacral and pelvic insufficiency fractures (ISF) and aassociated complications. (3) Review potential pitfalls in imaging interpretation to prevent...
Emergence of collective changes in travel direction of starling flocks from individual birds fluctuations
Creators: name: Attanasi, Alessandro
name: Cavagna, Andrea
name: Del Castello, Lorenzo
name: Giardina, Irene
name: Jelic, Asja
name: Melillo, Stefania
name: Parisi, Leonardo
name: Pohl, Oliver
name: Shen, Edward
name: Viale, Massimiliano
Publisher: name: arXiv
Year: 2014
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Populations and Evolution (q-bio.PE)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: One of the most impressive features of moving animal groups is their ability to perform sudden coherent changes in travel direction. While this collective decision can be a response to an external perturbation, such as the presence of a predator, recent studies show that such directional switching can also emerge from the intrinsic fluctuations in the individual behaviour. However, the cause and the mechanism by which such collective changes of direction occur are not fully understood yet. Here, we present an experimental study of spontaneous collective turns in natural flocks of starlings. We employ a recently developed tracking algorithm to reconstruct three-dimensional trajectories of each individual bird in the flock for the whole duration of a turning event. Our approach enables us to analyze changes in the individual behavior of every group member and reveal the emergent dynamics of turning. We show that spontaneous turns start from individuals located at the elongated edges of the flocks, and then propagate through the group. We find that birds on the edges deviate from the mean direction of motion much more frequently than other individuals, indicating that persistent localized fluctuations are the crucial ingredient for triggering a collective directional change. Finally, we quantitatively show that birds follow equal radius paths during turning allowing the flock to change orientation and redistribute risky locations among group members. The whole process of turning is a remarkable example of how a self-organized system can sustain collective changes and reorganize, while retaining coherence.
description: 18 pages, 2 Videos added
title: Imaging the Iliopsoas: A Review of Anatomy, Common Pathologies and an update on Imaging techniques and Image guided Injections.
Creators: name: Kochak Yazdi, leyla
Publisher: name: European Society of Muscoskeletal Radiology
Year: 2018
Subjects: subject: Prostheses
subject: Athletic injuries
subject: Treatment effects
subject: Diagnostic procedure
subject: Arthrography
subject: Ultrasound
subject: MR
subject: Musculoskeletal joint

description: Learning objectives Background Imaging findings OR Procedure Details Conclusion References Personal Information
description: Learning objectives: Normal anatomy Origin, insertion, course, vascular supply and innervation of Iliacus muscle, Psoas Major and Psoas Minor. IP bursa Pathology Native Joint IP tendinosis Partial thickness and full thickness tear of IP tendon IP bursitis IP...