cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
How to Move a Mountain: The Preparation and Transfer of One Million Volumes to an Off-Site Storage Facility
Creators: name: Guimaraes, Anastasia
name: Collins, Jared M.
Publisher: name: University of Notre Dame
Year: 2023

description: In late 2013, Hesburgh Libraries at the University of Notre Dame embarked on an audacious journey to renovate its iconic fourteen-story building. Driven by an immediate pressing need to reduce the footprint of physical collections in the library, a massive project commenced in the fall of 2014 to prepare approximately one million volumes for transfer to an off-site high-density mobile shelving storage facility. The project was carried out in two large phases that involved coordination of work and schedules between the renovation committee, vendors, and multiple library teams, including the Collections Preparation Team that was responsible for ensuring that all items moving off-site had accurate catalog records and were barcoded. This article provides background information about putting the project together and describes how the work to prepare titles for transfer was organized and completed under a very short deadline. This is an original manuscript of an article published by Taylor & Francis in The Serials Librarian on July 13, 2018, available online: https://www.tandfonline.com/doi/full/10.1080/0361526X.2018.1428476
Dynamic binding of driven interfaces in coupled ultrathin ferromagnetic layers
Creators: name: Metaxas, P. J.
name: Stamps, R. L.
name: Jamet, J. P.
name: Ferré, J.
name: Baltz, V.
name: Rodmacq, B.
name: Politi, P.
Publisher: name: arXiv
Year: 2010
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We demonstrate experimentally dynamic interface binding in a system consisting of two coupled ferromagnetic layers. While domain walls in each layer have different velocity-field responses, for two broad ranges of the driving field, H, walls in the two layers are bound and move at a common velocity. The bound states have their own velocity-field response and arise when the isolated wall velocities in each layer are close, a condition which always occurs as H->0. Several features of the bound states are reproduced using a one dimensional model, illustrating their general nature.
description: 5 pages, 4 figures, to be published in Physical Review Letters
title: Variability and stability in early language acquisition
title: Comparing monolingual and bilingual infants' speech perception and word recognition
titleType: Subtitle
Creators: name: Höhle, Barbara
name: Bijeljac-Babic, Ranka
name: Nazzi, Thierry
Publisher: name: Universität Potsdam
Year: 2020
Subjects: subject: 400 Sprache

description: Many human infants grow up learning more than one language simultaneously but only recently has research started to study early language acquisition in this population more systematically. The paper gives an overview on findings on early language acquisition in bilingual infants during the first two years of life and compares these findings to current knowledge on early language acquisition in monolingual infants. Given the state of the research, the overview focuses on research on phonological and early lexical development in the first two years of life. We will show that the developmental trajectory of early language acquisition in these areas is very similar in mono- and bilingual infants suggesting that these early steps into language are guided by mechanisms that are rather robust against the differences in the conditions of language exposure that mono- and bilingual infants typically experience.
description: Postprints der Universität Potsdam : Humanwissenschaftliche Reihe; 683
Supplementary document for Terahertz imaging through emissivity control - 6698674.pdf
Creators: name: Mrnka, Michal
name: Penketh, Harry
name: Hooper, Ian
name: Saxena, Sonal
name: Grant, Nicholas
name: Murphy, J. D.
name: Phillips, David
name: Hendry, Euan
Publisher: name: Optica Publishing Group
Year: 2023
Subjects: Uncategorized

description: Supplementary information
Network Reconstruction From High-Dimensional Ordinary Differential Equations
Creators: name: Shizhe Chen
name: Shojaie, Ali
name: Witten, Daniela M.
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: We consider the task of learning a dynamical system from high-dimensional time-course data. For instance, we might wish to estimate a gene regulatory network from gene expression data measured at discrete time points. We model the dynamical system nonparametrically as a system of additive ordinary differential equations. Most existing methods for parameter estimation in ordinary differential equations estimate the derivatives from noisy observations. This is known to be challenging and inefficient. We propose a novel approach that does not involve derivative estimation. We show that the proposed method can consistently recover the true network structure even in high dimensions, and we demonstrate empirical improvement over competing approaches. Supplementary materials for this article are available online.
Network Reconstruction From High-Dimensional Ordinary Differential Equations
Creators: name: Chen, Shizhe
name: Shojaie, Ali
name: Witten, Daniela M.
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: We consider the task of learning a dynamical system from high-dimensional time-course data. For instance, we might wish to estimate a gene regulatory network from gene expression data measured at discrete time points. We model the dynamical system nonparametrically as a system of additive ordinary differential equations. Most existing methods for parameter estimation in ordinary differential equations estimate the derivatives from noisy observations. This is known to be challenging and inefficient. We propose a novel approach that does not involve derivative estimation. We show that the proposed method can consistently recover the true network structure even in high dimensions, and we demonstrate empirical improvement over competing approaches. Supplementary materials for this article are available online.
A Simple Parametric Model Selection Test
Creators: name: Schennach, Susanne M.
name: Wilhelm, Daniel
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer

description: We propose a simple model selection test for choosing among two parametric likelihoods, which can be applied in the most general setting without any assumptions on the relation between the candidate models and the true distribution. That is, both, one or neither is allowed to be correctly specified or misspecified, they may be nested, nonnested, strictly nonnested, or overlapping. Unlike in previous testing approaches, no pretesting is needed, since in each case, the same test statistic together with a standard normal critical value can be used. The new procedure controls asymptotic size uniformly over a large class of data-generating processes. We demonstrate its finite sample properties in a Monte Carlo experiment and its practical relevance in an empirical application comparing Keynesian versus new classical macroeconomic models. Supplementary materials for this article are available online.
Biomechanics of the lower cervical spine during shear loading
Creators: name: Dowling-Medley, Jennifer
Publisher: name: University of British Columbia
Year: 2018

description: The biomechanics of the cervical spine during shear loading are not well-established as compared to other loading regimes. This deficit may be problematic as there is evidence that shear loading may contribute to fracture-dislocation injuries, which often lead to spinal cord injury. Because of this deficit, existing safety standards, such as those used in the automotive industry, may not provide sufficient protection against spinal cord injuries in the cervical region. The present work aims to address this deficit in two ways: through the characterization of the load-displacement behaviour of the cervical spine during shear loading, and through an analysis of the effect of test apparatus design on specimen artefact loading during shear testing. In the mechanical testing phase of the project, fresh-frozen human cervical functional spinal units were loaded to 100 N using a materials testing machine and custom-designed test apparatus. Three directions (anterior, posterior, lateral) were tested in each of three specimen conditions (intact, posterior ligamentectomy, disc-only). Significant decreases in stiffness were found in both the anterior (∆81 N/mm) and posterior (∆15 N/mm) directions between the intact and disc-only conditions, respectively. A computational model was then developed to investigate the effects of test apparatus design on artefact loading and coupled rotations, which had proved problematic during previous attempts to apply axial compression preloads during shear testing. Three axial compression force application methods (point load, rotationally constrained, follower load) were modeled during testing up to 10 mm anterior shear, with axial compressive loads up to 800 N for each method. A subset of the simulations were validated experimentally using porcine functional spinal units. It was found that the follower load provided the best reduction of both artefact moments and coupled flexion-extension rotations. This work provides additional scope to existing shear biomechanics data, as well as insight into how test apparatus design may influence results during shear testing of the cervical spine. These results may be used to improve the definition and validation of existing finite element models of the human neck, where such models may reduce the incidence or severity of spinal cord injury through improved automotive safety.
Modeling UV and X-Ray Emission in a Post-CME Current Sheet
Creators: name: Ko, Yuan-Kuen
name: Raymond, John C.
name: Vrsnak, Bojan
name: Vujic, Eugen
Publisher: name: arXiv
Year: 2010
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: A post-CME current sheet (CS) is a common feature developed behind an erupting flux rope in CME models. Observationally, white light observations have recorded many occurrences of a thin ray appearing behind a CME eruption that closely resembles a post-CME CS in its spatial correspondence and morphology. UV and X-ray observations further strengthen this interpretation by the observations of high temperature emission at locations consistent with model predictions. The next question then becomes whether the properties inside a post-CME CS predicted by a model agree with observed properties. In this work, we assume that the post-CME CS is a consequence of Petschek-like reconnection and that the observed ray-like structure is bounded by a pair of slow mode shocks developed from the reconnection site. We perform time-dependent ionization calculations and model the UV line emission. We find that such a model is consistent with SOHO/UVCS observations of the post-CME CS. The change of Fe XVIII emission in one event implies an inflow speed of ~10 km/s and a corresponding reconnection rate of M_A ~ 0.01. We calculate the expected X-ray emission for comparison with X-ray observations by Hinode/XRT, as well as the ionic charge states as would be measured in-situ at 1 AU. We find that the predicted count rate for Hinode/XRT agree with what was observed in a post-CME CS on April 9, 2008, and the predicted ionic charge states are consistent with high ionization states commonly measured in the interplanetary CMEs. The model results depend strongly on the physical parameters in the ambient corona, namely the coronal magnetic field, the electron density and temperature during the CME event. It is crucial to obtain these ambient coronal parameters and as many facets of the CS properties as possible by observational means so that the post-CME current sheet models can be scrutinized more effectively.
Estimation and Inference of Quantile Regression for Survival Data Under Biased Sampling
Creators: name: Xu, Gongjun
name: Sit, Tony
name: Wang, Lan
name: Huang, Chiung-Yu
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy

description: Biased sampling occurs frequently in economics, epidemiology, and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to incorrect inference. We propose a unified estimation procedure and a computationally fast resampling method to make statistical inference for quantile regression with survival data under general biased sampling schemes, including but not limited to the length-biased sampling, the case-cohort design, and variants thereof. We establish the uniform consistency and weak convergence of the proposed estimator as a process of the quantile level. We also investigate more efficient estimation using the generalized method of moments and derive the asymptotic normality. We further propose a new resampling method for inference, which differs from alternative procedures in that it does not require to repeatedly solve estimating equations. It is proved that the resampling method consistently estimates the asymptotic covariance matrix. The unified framework proposed in this article provides researchers and practitioners a convenient tool for analyzing data collected from various designs. Simulation studies and applications to real datasets are presented for illustration. Supplementary materials for this article are available online.
Upscaling Uncertainty with Dynamic Discrepancy for a Multi-Scale Carbon Capture System
Creators: name: Bhat, K. Sham
name: Mebane, David S.
name: Mahapatra, Priyadarshi
name: Storlie, Curtis B.
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Pharmacology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Plant Biology
subject: Computational Biology

description: Uncertainties from model parameters and model discrepancy from small-scale models impact the accuracy and reliability of predictions of large-scale systems. Inadequate representation of these uncertainties may result in inaccurate and overconfident predictions during scale-up to larger systems. Hence, multiscale modeling efforts must accurately quantify the effect of the propagation of uncertainties during upscaling. Using a Bayesian approach, we calibrate a small-scale solid sorbent model to thermogravimetric (TGA) data on a functional profile using chemistry-based priors. Crucial to this effort is the representation of model discrepancy, which uses a Bayesian smoothing splines (BSS-ANOVA) framework. Our uncertainty quantification (UQ) approach could be considered intrusive as it includes the discrepancy function within the chemical rate expressions; resulting in a set of stochastic differential equations. Such an approach allows for easily propagating uncertainty by propagating the joint model parameter and discrepancy posterior into the larger-scale system of rate expressions. The broad UQ framework presented here could be applicable to virtually all areas of science where multiscale modeling is used. Supplementary materials for this article are available online.
Reducing the Erdos-Moser equation 1^n + 2^n + . . . + k^n = (k+1)^n modulo k and k^2
Creators: name: Sondow, Jonathan
name: MacMillan, Kieren
Publisher: name: arXiv
Year: 2010
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11D61 (Primary), 11D79, 11A41 (Secondary)

description: An open conjecture of Erdos and Moser is that the only solution of the Diophantine equation in the title is the trivial solution 1+2=3. Reducing the equation modulo k and k^2, we give necessary and sufficient conditions on solutions to the resulting congruence and supercongruence. A corollary is a new proof of Moser's result that the conjecture is true for odd exponents n. We also connect solutions k of the congruence to primary pseudoperfect numbers and to a result of Zagier. The proofs use divisibility properties of power sums as well as Lerch's relation between Fermat and Wilson quotients.
description: 10 pages, 2 tables, submitted for publication
Polymorphism of the glass former ethanol confined in mesoporous silicon
Creators: name: Henschel, Anke
name: Knorr, Klaus
name: Huber, Patrick
Publisher: name: arXiv
Year: 2010
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: X-ray diffraction patterns of ethanol confined in parallel-aligned channels of approx. 10 nm diameter and 50 micrometer length in mesoporous silicon have been recorded as a function of filling fraction, temperature and for varying cooling and heating rates. A sorption isotherm, recorded in the liquid state, indicates a three monolayer thick, strongly adsorbed wall layer and a capillary condensed fraction of molecules in the pore center. Though the strongly adsorbed film remains in an amorphous state for the entire temperature range investigated, the capillary condensed molecules reproduce the polymorphism of bulk solid ethanol, that is the formation of either crystalline or glass-like states as a function of cooling rate. The critical rate necessary to achieve a vitrification in the mesopores is, however, at least two orders of magnitude smaller than in the bulk state. This finding can be traced both to pure geometrical constraints and quenched disorder effects, characteristic of confinement in mesoporous silicon.
description: 6 pages, 4 figures
Network Reconstruction From High-Dimensional Ordinary Differential Equations
Creators: name: Chen, Shizhe
name: Shojaie, Ali
name: M. Witten, Daniela
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: We consider the task of learning a dynamical system from high-dimensional time-course data. For instance, we might wish to estimate a gene regulatory network from gene expression data measured at discrete time points. We model the dynamical system nonparametrically as a system of additive ordinary differential equations. Most existing methods for parameter estimation in ordinary differential equations estimate the derivatives from noisy observations. This is known to be challenging and inefficient. We propose a novel approach that does not involve derivative estimation. We show that the proposed method can consistently recover the true network structure even in high dimensions, and we demonstrate empirical improvement over competing approaches. Supplementary materials for this article are available online.
Observation of second-harmonic generation induced by pure spin currents
Creators: name: Werake, Lalani K.
name: Zhao, Hui
Publisher: name: arXiv
Year: 2011
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: Extensive efforts are currently being devoted to developing a new electronic technology, called spintronics, where the spin of electrons is explored to carry information. [1,2] Several techniques have been developed to generate pure spin currents in many materials and structures. [3-10] However, there is still no method available that can be used to directly detect pure spin currents, which carry no net charge current and no net magnetization. Currently, studies of pure spin currents rely on measuring the induced spin accumulation with optical techniques [5, 11-13] or spin-valve configurations. [14-17] However, the spin accumulation does not directly reflect the spatial distribution or temporal dynamics of the pure spin current, and therefore cannot monitor the pure spin current in a real-time and real-space fashion. This imposes severe constraints on research in this field. Here we demonstrate a second-order nonlinear optical effect of the pure spin current. We show that such a nonlinear optical effect, which has never been explored before, can be used for the non-invasive, non-destructive, and real-time imaging of pure spin currents. Since this detection scheme does not rely on optical resonances, it can be generally applied in a wide range of materials with different electronic bandstructures. Furthermore, the control of nonlinear optical properties of materials with pure spin currents may have potential applications in photonics integrated with spintronics.
description: 19 pages, 3 figures, supplementary discussion added
Greed is good : greedy optimization methods for large-scale structured problems
Creators: name: Nutini, Julie
Publisher: name: University of British Columbia
Year: 2018

description: This work looks at large-scale machine learning, with a particular focus on greedy methods. A recent trend caused by big datasets is to use optimization methods that have a cheap iteration cost. In this category are (block) coordinate descent and Kaczmarz methods, as the updates of these methods only rely on a reduced subspace of the problem at each iteration. Prior to our work, the literature cast greedy variations of these methods as computationally expensive with comparable convergence rates to randomized versions. In this dissertation, we show that greed is good. Specifically, we show that greedy coordinate descent and Kaczmarz methods have efficient implementations and can be faster than their randomized counterparts for certain common problem structures in machine learning. We show linear convergence for greedy (block) coordinate descent methods under a revived relaxation of strong convexity from 1963, which we call the Polyak-Lojasiewicz (PL) inequality. Of the proposed relaxations of strong convexity in the recent literature, we show that the PL inequality is the weakest condition that still ensures a global minimum. Further, we highlight the exploitable flexibility in block coordinate descent methods, not only in the different types of selection rules possible, but also in the types of updates we can use. We show that using second-order or exact updates with greedy block coordinate descent methods can lead to superlinear or finite convergence (respectively) for popular machine learning problems. Finally, we introduce the notion of “active-set complexity”, which we define as the number of iterations required before an algorithm is guaranteed to reach the optimal active manifold, and show explicit bounds for two common problem instances when using the proximal gradient or the proximal coordinate descent method.
title: Κατασκευή μη επανδρωμένου οχήματος Rover με την χρήση τρισδιάστατης εκτύπωσης
title: Development of an unmanned rover vehicle using 3D printing
titleType: AlternativeTitle
Creators: name: Τσουκνίδης, Παναγιώτης
Publisher: name: Πανεπιστήμιο Δυτικής Αττικής
Year: 2024
Subjects: Exomy Rover
Rover
Τρισδιάστατη εκτύπωση
3D Printing

description: Σε αυτό το σημείο θα αναλύσουμε κάποιες βασικές έννοιες, όπως από τι αποτελείται το ρόβερ το οποίο κατασκευάσαμε, τι υλικά και εργαλεία χρησιμοποιήθηκαν για την κατασκευή του και γενικότερα το πως λειτουργούν όλα αυτά τα υλικά μεμονωμένα, ώστε να καταλάβουμε την χρήση τους και το ρόλο που παίζουν στην εργασία μας. Το ρόβερ ταμηχανικά του κομμάτια είναι εξ ολοκλήρου τυπωμένα με τεχνολογία 3D εκτύπωσης, το υλικό που χρησιμοποιήθηκε είναι το PLA.
Linear Model Selection When Covariates Contain Errors
Creators: name: Zhang, Xinyu
name: Wang, Haiying
name: Ma, Yanyuan
name: J. Carroll, Raymond
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Plant Biology

description: Prediction precision is arguably the most relevant criterion of a model in practice and is often a sought after property. A common difficulty with covariates measured with errors is the impossibility of performing prediction evaluation on the data even if a model is completely given without any unknown parameters. We bypass this inherent difficulty by using special properties on moment relations in linear regression models with measurement errors. The end product is a model selection procedure that achieves the same optimality properties that are achieved in classical linear regression models without covariate measurement error. Asymptotically, the procedure selects the model with the minimum prediction error in general, and selects the smallest correct model if the regression relation is indeed linear. Our model selection procedure is useful in prediction when future covariates without measurement error become available, for example, due to improved technology or better management and design of data collection procedures. Supplementary materials for this article are available online.
Vlasov moment flows and geodesics on the Jacobi group
Creators: name: Gay-Balmaz, François
name: Tronci, Cesare
Publisher: name: arXiv
Year: 2011
Subjects: subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: By using the moment algebra of the Vlasov kinetic equation, we characterize the integrable Bloch-Iserles system on symmetric matrices (arXiv:math-ph/0512093) as a geodesic flow on the Jacobi group. We analyze the corresponding Lie-Poisson structure by presenting a momentum map, which both untangles the bracket structure and produces particle-type solutions that are inherited from the Vlasov-like interpretation. Moreover, we show how the Vlasov moments associated to Bloch-Iserles dynamics correspond to particular subgroup inclusions into a group central extension (first discovered in arXiv:math/0410100), which in turn underlies Vlasov kinetic theory. In the most general case of Bloch-Iserles dynamics, a generalization of the Jacobi group also emerges naturally.
description: 45 pages
Not by Nature but by Grace: Forming Families through Adoption
Creators: name: Meilaender, Gilbert C.
Publisher: name: University of Notre Dame
Year: 2023

description: Working from within the contours of Christian faith, this book examines the relation between two ways of forming families-through nature (by procreation) and through history (by adoption). Christians honor the biological tie between parents and children, for it is the work of God in creation. Yet Christians cannot forget that it is adoption, and not simply natural descent, that is at the center of the New Testament's depiction of God's grace. Gilbert Meilaender takes up a range of issues raised by the practice of adoption, always seeking to do justice to both nature and history in the formation of families, while keeping at the center of our vision the truth that it is not by nature but by grace that we can become adopted children of the one whom Jesus called his Father. Meilaender begins with reflection on the puzzling relation of nature and history in forming families and proceeds to unpack the meaning of _huiothesia_, the word used in the New Testament to name the grace by which a follower of Jesus becomes an adopted child of God. That perspective is applied to a range of questions that regularly arise in Christian theological discussions of adoption: Is adoption only for the infertile? Should single persons adopt? Is it wise for adoption to take place across racial or national boundaries? Special attention is paid to the relation between adoption and new reproductive technologies and to what is called 'embryo adoption.' Interspersed between the chapters are letters written by the author to his own son by adoption. But if the argument of the book is taken seriously, these letters are written not to one who falls within a special category of 'adopted son or daughter,' but to one who is, simply and entirely, a son or daughter.\u000a\u000a\u00A9 University of Notre Dame\u000a\u000aCopyright for most content is held by The University of Notre Dame. Reproduction of all or any portion of content constitutes a violation of copyright. You must obtain permission from The Copyright Clearance Center or The University of Notre Dame Press in order to reprint (or adapt) content.\u000a\u000ap: (574) 631-6346 \ e: undpress@nd\.edu \ website: copyright\.com
Estimation of the Continuous and Discontinuous Leverage Effects
Creators: name: Aït-Sahalia, Yacine
name: Fan, Jianqing
name: Laeven, Roger J. A.
name: Wang, Christina Dan
name: Yang, Xiye
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Science Policy

description: This article examines the leverage effect, or the generally negative covariation between asset returns and their changes in volatility, under a general setup that allows the log-price and volatility processes to be Itô semimartingales. We decompose the leverage effect into continuous and discontinuous parts and develop statistical methods to estimate them. We establish the asymptotic properties of these estimators. We also extend our methods and results (for the continuous leverage) to the situation where there is market microstructure noise in the observed returns. We show in Monte Carlo simulations that our estimators have good finite sample performance. When applying our methods to real data, our empirical results provide convincing evidence of the presence of the two leverage effects, especially the discontinuous one. Supplementary materials for this article are available online.
Tephrosin and obovatachalcone with antibacterial activity from Tephrosia vogelii Hook.f
Creators: name: Kusumaningtyas, Valentina Adimurti
name: Supratman, Unang
name: Aryanti, Putu Teta Prihartini
name: Melina, Melina
name: Juliawaty, Lia Dewi
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: In the search for new antibacterial agents from plants, two known compounds (rotenoid and chalcone) were isolated from Tephrosia vogelii Hook.f. (seeds), namely tephrosin (1), and obovatachalcone (2). The compounds were isolated using vacuum liquid chromatography and radial chromatography. The structures of isolates were determined by 1D and 2D NMR. Both compounds were evaluated for their antibacterial properties against the four pathogenic bacterial strains Staphylococcus aureus S33 R4, Bacillus subtilis subsp. subtilis str. 168, Escherichia coli TISTR 780, and Salmonella typhi Ty 21a, using the microdilution method to determine MIC and MBC. The results showed that tephrosin (1) had moderate antibacterial activity against E. coli with MIC values of 25 μg/mL and MBC values of 100 μg/mL. However, obovatachalcone (2) showed a weak antibacterial activity.
Stability of the replica-symmetric saddle-point in general mean-field spin-glass models
Creators: name: Janzen, Katharina
name: Engel, Andreas
Publisher: name: arXiv
Year: 2010
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: Within the replica approach to mean-field spin-glasses the transition from ergodic high-temperature behaviour to the glassy low-temperature phase is marked by the instability of the replica-symmetric saddle-point. For general spin-glass models with non-Gaussian field distributions the corresponding Hessian is a $2^n\times 2^n$ matrix with the number $n$ of replicas tending to zero eventually. We block-diagonalize this Hessian matrix using representation theory of the permutation group and identify the blocks related to the spin-glass susceptibility. Performing the limit $n\to 0$ within these blocks we derive expressions for the de~Almeida-Thouless line of general spin-glass models. Specifying these expressions to the cases of the Sherrington-Kirkpatrick, Viana-Bray, and the Lévy spin glass respectively we obtain results in agreement with previous findings using the cavity approach.
Tephrosin and obovatachalcone with antibacterial activity from Tephrosia vogelii Hook.f
Creators: name: Kusumaningtyas, Valentina Adimurti
name: Supratman, Unang
name: Aryanti, Putu Teta Prihartini
name: Melina, Melina
name: Juliawati, Lia Dewi
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: In the search for new antibacterial agents from plants, two known compounds (rotenoid and chalcone) were isolated from Tephrosia vogelii Hook.f. (seeds), namely tephrosin (1), and obovatachalcone (2). The compounds were isolated using vacuum liquid chromatography and radial chromatography. The structures of isolates were determined by 1D and 2D NMR. Both compounds were evaluated for their antibacterial properties against the four pathogenic bacterial strains Staphylococcus aureus S33 R4, Bacillus subtilis subsp. subtilis str. 168, Escherichia coli TISTR 780, and Salmonella typhi Ty 21a, using the microdilution method to determine MIC and MBC. The results showed that tephrosin (1) had moderate antibacterial activity against E. coli with MIC values of 25 μg/mL and MBC values of 100 μg/mL. However, obovatachalcone (2) showed a weak antibacterial activity.
(No) dynamical constraints on the mass of the black hole in two ULXs
Creators: name: Roberts, T. P.
name: Gladstone, J. C.
name: Goulding, A. D.
name: Swinbank, A. M.
name: Ward, M. J.
name: Goad, M. R.
name: Levan, A. J.
Publisher: name: arXiv
Year: 2010
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present the preliminary results of two Gemini campaigns to constrain the mass of the black hole in an ultraluminous X-ray source (ULX) via optical spectroscopy. Pilot studies of the optical counterparts of a number of ULXs revealed two candidates for further detailed study, based on the presence of a broad He II 4686 Angstrom emission line. A sequence of 10 long-slit spectra were obtained for each object, and the velocity shift of the ULX counterpart measured. Although radial velocity variations are observed, they are not sinusoidal, and no mass function is obtained. However, the broad He II line is highly variable on timescales shorter than a day. If associated with the reprocessing of X-rays in the accretion disc, its breadth implies that the disc must be close to face-on.
description: 5 pages, 4 figures. Accepted for publication in Astronomische Nachrichten, to appear in the proceedings of the conference "Ultra-Luminous X-ray sources and Middle Weight Black Holes" (Madrid, May 24-26, 2010)
Infrared photometric study of the massive star forming region S235 using Spitzer-IRAC and JHK observations
Creators: name: Dewangan, L. K.
name: Anandarao, B. G.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present the {\it Spitzer}-IRAC images of the S235 star forming complex that includes the East~1 & 2, Central and S235 A & B regions. In addition, we present the near-infrared images of the S235 A & B regions. The IRAC photometry reveals on-going star formation, with 86 Class 0/I and 144 Class II YSOs in the entire S235 complex. Nearly 73% of these YSOs are present in clusters with a maximum surface density of 120 YSOs/pc$^{2}$ (in the vicinity of S235A & B regions). A few YSOs, possibly in an arc-like formation, are identified towards the south of S235A region, which may be speculated as an evidence for magnetically super-critical collapse. One of the sources in the arc-like formation, namely S235AB-MIR, seems to be a young, massive star that is still accreting matter. SED modeling of some of the newly identified YSOs confirms the classification made on the basis of IRAC colours. The IRAC ratio map of Ch2/Ch4 traces clearly the Br$α$ emission associated with the HII region of S235A within the horse-shoe envelope. Outside the horse-shoe structure, the ratio map indicates shock-excited H$_{2}$ emission. Br$α$ emission is also seen around S235B (from the ratio map). The ratio map of Ch2/Ch4 reveals that the source "e2s3" in the East~2 region may be associated with shock-excited H$_2$ emission outflow or jet. The SED modeling of this new source indicates that it is a very young massive star that is not yet able to drive an HII region.
description: 19 pages; 13 figures; 8 tables. Accepted in MNRAS, Feb 2011
Estimation and Inference of Quantile Regression for Survival Data under Biased Sampling
Creators: name: Xu, Gongjun
name: Sit, Tony
name: Wang, Lan
name: Huang, Chiung-Yu
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy

description: Biased sampling occurs frequently in economics, epidemiology and medical studies either by design or due to data collecting mechanism. Failing to take into account the sampling bias usually leads to incorrect inference. We propose a unified estimation procedure and a computationally fast resampling method to make statistical inference for quantile regression with survival data under general biased sampling schemes, including but not limited to the length-biased sampling, the case-cohort design and variants thereof. We establish the uniform consistency and weak convergence of the proposed estimator as a process of the quantile level. We also investigate more efficient estimation using the generalized method of moments and derive the asymptotic normality. We further propose a new resampling method for inference, which differs from alternative procedures in that it does not require to repeatedly solve estimating equations. It is proved that the resampling method consistently estimates the asymptotic covariance matrix. The unified framework proposed in this paper provides researchers and practitioners a convenient tool for analyzing data collected from various designs. Simulation studies and applications to real data sets are presented for illustration.
Overlapping criminal offences and gendered violence : what is overlap and when is it part of the problem of overcriminalisation?
Creators: name: Prebble, Zoë Margaret
Publisher: name: University of British Columbia
Year: 2024

description: This dissertation examines when overlapping criminal offences contribute to the problem of overcriminalisation, using two case studies of gendered harms that are specifically criminalised by offences that overlap with other more general offences. Overcriminalisation literature notes that the “too much-ness” of the criminal law extends in two directions. Criminal law is both: too broad, criminalising conduct that it should not, and too deep, frequently criminalising the conduct that it does cover by many overlapping offences. However, the existing literature focuses most of its energies on issues of overbreadth, with overdepth mentioned frequently, but in a more cursory manner. This thesis addresses this gap in the literature. In assessing what portion of overlapping offences is part of overcriminalisation, it treats two questions separately: what does it mean in descriptive terms to say that two or more offences overlap with one another? and when in normative terms is descriptive overlap between two offences part of the problem of overcriminalisation? A key original contribution of my research is a taxonomical analysis of types of descriptive overlap. I also propose and apply to two case studies a collection of normative criteria which help to distinguish benign or justified overlap from problematic overlap. The thesis uses two gendered harm case studies to investigate these conceptual and philosophical dimensions of overlap in the criminal law: New Zealand’s proposed offence of non-fatal strangulation in an intimate partner violence context, which will descriptively overlap with general assault offences; and offences of sexual violence known in various jurisdictions as rape or sexual assault, which can be seen as overlapping with general assault offences. Gendered harm is a pressing problem in the Anglo-American jurisdictions that are the focus of this thesis. It is a problem the law historically has addressed badly. This makes gendered harm an illuminating lens through which to consider questions of overlap: the importance of effectively criminalising gendered harms such as strangulation in intimate partner violence settings makes it no less pressing that overlapping offences be scrutinised to assess whether they contribute to overcriminalisation.
Άγνωστες όψεις της πνευματικής συνεισφοράς του Νικηφόρου Βρεττάκου
Creators: name: Αγγέλη, Παναγιώτα
Publisher: name: Πανεπιστήμιο Πελοποννήσου
Year: 2024
Subjects: subject: Βρεττάκος , Νικηφόρος , 1911-1991
subject: Βρεττάκος , Νικηφόρος , 1911-1991 -- Ερμηνεία και κριτική
subject: Προοδευτική Αλλαγή (Εφημερίδα)
subject: Ελληνικά Χρονικά (Περιοδικό)
subject: Νικηφόρος Βρεττάκος
subject: Εφημερίδα Προοδευτική Αλλαγή
subject: Περιοδικό Ελληνικά Χρονικά
subject: Κριτική
subject: Χρονογράφημα
subject: Nikiphoros Vrettakos
subject: Newspaper Progressive Change
subject: Magazine Hellenic Chronicles
subject: Criticism
subject: Newspaper vignette

description: Η παρούσα εργασία προσπαθεί να ανιχνεύσει τη συγγραφική παρουσία του ποιητή, πεζογράφου, δοκιμιογράφου και μεταφραστή Νικηφόρου Βρεττάκου στην εφημερίδα Η Προοδευτική Αλλαγή και στο περιοδικό Ελληνικά Χρονικά. Μέσα από αυτή τη διαδικασία, αφ’ ενός μεν, θα αποκαλυφθούν και θα καταγραφούν τα κείμενα που συνέγραψε στη διάρκεια της συνεργασίας του με την ανωτέρω εφημερίδα και το περιοδικό, αφ’ ετέρου, δε θα αναδειχθούν άγνωστες έως τώρα πτυχές και όψεις της πνευματικής συνεισφοράς του ποιητή και θα εξαχθούν τα αντίστοιχα συμπεράσματα. Παράλληλα, παρατίθενται τα βιογραφικά και εργογραφικά στοιχεία του Βρεττάκου, ενώ γίνεται και εκτενής αναφορά στην εποχή που έζησε και δημιούργησε.
Bootstrap Inference of Matching Estimators for Average Treatment Effects
Creators: name: Otsu, Taisuke
name: Rai, Yoshiyasu
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Marine Biology
subject: Cancer
subject: Science Policy
subject: Plant Biology

description: It is known that the naive bootstrap is not asymptotically valid for a matching estimator of the average treatment effect with a fixed number of matches. In this article, we propose asymptotically valid inference methods for matching estimators based on the weighted bootstrap. The key is to construct bootstrap counterparts by resampling based on certain linear forms of the estimators. Our weighted bootstrap is applicable for the matching estimators of both the average treatment effect and its counterpart for the treated population. Also, by incorporating a bias correction method in Abadie and Imbens (2011), our method can be asymptotically valid even for matching based on a vector of covariates. A simulation study indicates that the weighted bootstrap method is favorably comparable with the asymptotic normal approximation. As an empirical illustration, we apply the proposed method to the National Supported Work data. Supplementary materials for this article are available online.
The Hamming Ball Sampler
Creators: name: Titsias, Michalis K.
name: Yau, Christopher
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biophysics
subject: Space Science
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: We introduce the Hamming ball sampler, a novel Markov chain Monte Carlo algorithm, for efficient inference in statistical models involving high-dimensional discrete state spaces. The sampling scheme uses an auxiliary variable construction that adaptively truncates the model space allowing iterative exploration of the full model space. The approach generalizes conventional Gibbs sampling schemes for discrete spaces and provides an intuitive means for user-controlled balance between statistical efficiency and computational tractability. We illustrate the generic utility of our sampling algorithm through application to a range of statistical models. Supplementary materials for this article are available online.