cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Echinococcus granulosus
Creators: name: Zvegintsova, N. S.
name: Kharchenko, V. A.
name: Kuzmina, T. A.
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Animalia
Platyhelminthes
Cestoda
Cyclophyllidea
Taeniidae
Echinococcus
Echinococcus granulosus

description: Echinococcus granulosus (Batsch, 1786), larvae
Hosts: Siberian ibex (P = 100 %; I = 1); Bactrian camel (P = 100 %; I = 3).
Site of infection: liver.
description: Published as part of Zvegintsova, N. S., Kharchenko, V. A. & Kuzmina, T. A., 2018, Helminths Of Exotic Even-Toed Ungulates (Artiodactyla) In The Askania-Nova Biosphere Reserve, Ukraine, pp. 471-494 in Vestnik Zoologii 52 (6) on page 476, DOI: 10.2478/vzoo-2018-0049, http://zenodo.org/record/6454977
Marbleboard
Creators: name: Desideri, Silvia
name: Arimondi, Anna
name: Donati, Sabrina
name: Diagne, Mariam
name: Barba, Andreea
name: Magni, Virginia
Publisher: name: Zenodo
Year: 2024

description: Marbleboard

 

Autori/designer: Silvia Desideri, Arimondi Anna, Sabrina Donati, Mariam Diagne, Andreea Barba, Virginia Magni

 

Il file che potrete scaricare è uno strumento alternativo allo storyboard classico da utilizzare in modo interattivo e ludico. Utilizza una tavola intagliata all'interno della quale passa una biglia che traccia il percorso grazie a dell'inchiostro. Il percorso tracciato corrisponde a una rappresentazione visiva del processo creativo che si vuole raccontare.
Moniezia expansa
Creators: name: Zvegintsova, N. S.
name: Kharchenko, V. A.
name: Kuzmina, T. A.
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Animalia
Platyhelminthes
Cestoda
Cyclophyllidea
Anoplocephalidae
Moniezia
Moniezia expansa

description: Moniezia expansa (Rudolphi, 1805)
Hosts: European mouflon (P = 20 %; I = 17.5 (1–34)); common eland (P = 21.1 %; I = 2.9 (1–10)); markhor (P = 9.1 %; I = 1); saiga antelope (P = 21.7 %; I =1.2 (1–4)); Barbary sheep (P = 40 %; I = 1.5 (1–2)); American bison (P = 45.5 %; I = 2.2 (1–4)); nilgai (P = 28.6 %; I = 1); red deer (P = 16.7 %; I = 1); guanaco (P = 16.7 %; I = 1).
Site of infection: small intestine.
 M. benedeni (Monies, 1879)
Hosts: American bison (P = 18.2 %; I = 2 (1–3)); banteng (P = 100 %; I = 1); gayal (P = 100 %; I = 3).
Site of infection: small intestine.
description: Published as part of Zvegintsova, N. S., Kharchenko, V. A. & Kuzmina, T. A., 2018, Helminths Of Exotic Even-Toed Ungulates (Artiodactyla) In The Askania-Nova Biosphere Reserve, Ukraine, pp. 471-494 in Vestnik Zoologii 52 (6) on page 476, DOI: 10.2478/vzoo-2018-0049, http://zenodo.org/record/6454977
Measurement of the Zero Crossing in a Feshbach Resonance of Fermionic 6-Li
Creators: name: O'Hara, K. M.
name: Hemmer, S. L.
name: Granade, S. R.
name: Gehm, M. E.
name: Thomas, J. E.
name: Venturi, V.
name: Tiesinga, E.
name: Williams, C. J.
Publisher: name: arXiv
Year: 2002
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We measure a zero crossing in the scattering length of a mixture of the two lowest hyperfine states of 6-Li. To locate the zero crossing, we monitor the decrease in temperature and atom number arising from evaporation in a CO2 laser trap as a function of magnetic field B. The temperature decrease and atom loss are minimized for B=528(4) G, consistent with no evaporation. We also present preliminary calculations using potentials that have been constrained by the measured zero crossing and locate a broad Feshbach resonance at approximately 860 G, in agreement with previous theoretical predictions. In addition, our theoretical model predicts a second and much narrower Feshbach resonance near 550 G.
description: Five pages, four figures
Observational constraints on the survival of pristine stars
Creators: name: Magg, Mattis
name: Klessen, Ralf S.
name: Glover, Simon C. O.
name: Li, Haining
Publisher: name: arXiv
Year: 2019
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: There is a longstanding discussion about whether low mass stars can form from pristine gas in the early Universe. A particular point of interest is whether we can find surviving pristine stars from the first generation in our local neighbourhood. We present here a simple analytical estimate that puts tighter constraints on the existence of such stars. In the conventional picture, should these stars have formed in significant numbers and have preserved their pristine chemical composition until today, we should have found them already. With the presented method most current predictions for survivor counts larger than zero can be ruled out.
description: 5 pages, 2 figures, accepted for publication in MNRAS
Reclamation research and monitoring at Highland Valley Copper
Creators: name: Jones, Carol Elizabeth, 1953-
name: Freberg, Mark R
name: Hamaguchi, Bob A.
name: Straker, Justin
Publisher: name: The University of British Columbia
Year: 2009

description: To meet the goals of revegetating land to a self-sustaining state, using appropriate plant species and achieving levels of land productivity not less than existed prior to mining, Highland Valley Copper has undertaken over 20 years of reclamation research and monitoring. The evaluation of the results of these studies has provided important feedback that is used to modify and enhance the reclamation product. Monitoring results have also been used to modify and enhance the reclamation product. Monitoring results have also been used to determine if progress is proceeding toward the desired goals and provide early warning signs of potential problems. Benchmark values have been developed that indicate the need for remedial action and others that indicate the expected trajectory of the revegetation to an acceptable product. Parameters that have been measured for forage areas include species composition, nutrient content and biomass production. On areas planted with trees and shrubs, parameters measured include survival, growth and stocking densities. All of these parameters have been measured systematically across the revegetated areas and over time. Initial assessments of revegetated areas are conducted two years following establishment and a second assessment is conducted three years after the withdrawal of maintenance fertilizer application. Based on the results of this monitoring and other directed research studies, Highland Valley Copper can be shown to meet their revegetation goals and satisfy the land use objectives for the property.
Model updating in structural dynamics: advanced parametrization, optimal regularization, and symmetry considerations
Creators: Bartilson, Daniel Thomas
Publisher: name: Columbia University
Year: 2019
Subjects: subject: Civil engineering
subject: FOS: Civil engineering
subject: Structural dynamics
subject: Finite element method--Models
subject: Structural engineering

description: Numerical models are pervasive tools in science and engineering for simulation, design, and assessment of physical systems. In structural engineering, finite element (FE) models are extensively used to predict responses and estimate risk for built structures. While FE models attempt to exactly replicate the physics of their corresponding structures, discrepancies always exist between measured and model output responses. Discrepancies are related to aleatoric uncertainties, such as measurement noise, and epistemic uncertainties, such as modeling errors. Epistemic uncertainties indicate that the FE model may not fully represent the built structure, greatly limiting its utility for simulation and structural assessment. Model updating is used to reduce error between measurement and model-output responses through adjustment of uncertain FE model parameters, typically using data from structural vibration studies. However, the model updating problem is often ill-posed with more unknown parameters than available data, such that parameters cannot be uniquely inferred from the data.
      This dissertation focuses on two approaches to remedy ill-posedness in FE model updating: parametrization and regularization. Parametrization produces a reduced set of updating parameters to estimate, thereby improving posedness. An ideal parametrization should incorporate model uncertainties, effectively reduce errors, and use as few parameters as possible. This is a challenging task since a large number of candidate parametrizations are available in any model updating problem. To ameliorate this, three new parametrization techniques are proposed: improved parameter clustering with residual-based weighting, singular vector decomposition-based parametrization, and incremental reparametrization. All of these methods utilize local system sensitivity information, providing effective reduced-order parametrizations which incorporate FE model uncertainties.
      The other focus of this dissertation is regularization, which improves posedness by providing additional constraints on the updating problem, such as a minimum-norm parameter solution constraint. Optimal regularization is proposed for use in model updating to provide an optimal balance between residual reduction and parameter change minimization. This approach links computationally-efficient deterministic model updating with asymptotic Bayesian inference to provide regularization based on maximal model evidence. Estimates are also provided for uncertainties and model evidence, along with an interesting measure of parameter efficiency.
Modeling Alzheimer's Disease Using Cellular Reprogramming Technologies
Creators: Chau, Lily
Publisher: name: Columbia University
Year: 2012
Subjects: subject: Neurosciences
subject: FOS: Clinical medicine
subject: Alzheimer's disease
subject: Cytology
subject: Nervous system--Degeneration

description: Two cellular reprogramming technologies have emerged that demonstrate that cell-fate can be converted by ectopic expression of defined transcription factors: induced pluripotent stem (iPS) cell technology and induced neuronal (iN) cell technology. These recent advances in cell reprogramming strategies have great potential utility for patient-specific disease modeling and for applications in regenerative medicine. Current models of neurodegenerative diseases are limited in their representation of disease phenotypes and there is an essential need for human cellular models of neurodegenerative disorders. Induced pluripotent stem (iPS) cell technology offers a two-step approach to disease modeling, in which patient somatic cells are first reprogrammed to a pluripotent state and subsequently differentiated in neurons. In contrast, induced neuronal (iN) cell technology allows for the direct conversion of somatic cells to neurons. Here I demonstrate the modeling of Alzheimer's disease (AD) using both iPS and iN cellular reprogramming technologies. These bioengineered human cell-based models of AD provide unique and invaluable tools for elucidating the mechanism of AD pathogenesis.
Shell evolution approaching the N=20 island of inversion: Structure of 29Mg
Creators: name: Matta, A.
name: Catford, W. N.
name: Orr, N. A.
name: Henderson, J.
name: Ruotsalainen, P.
name: Hackman, G.
name: Garnsworthy, A. B.
name: Delaunay, F.
name: Wilkinson, R.
name: Lotay, G.
name: Tsunoda, Naofumi
name: Otsuka, Takaharu
name: Knapton, A. J.
name: Ball, G. C.
name: Bernier, N.
name: Burbadge, C.
name: Chester, A.
name: Cross, D. S.
name: Cruz, S.
name: Diget, C. Aa.
name: Domingo, T.
name: Drake, T. E.
name: Evitts, L. J.
name: Garcia, F. H.
name: Hallam, S.
name: MacConnachie, E.
name: Moukaddam, M.
name: Muecher, D.
name: Padilla-Rodal, E.
name: Paetkau, O.
name: Park, J.
name: Pore, J. L.
name: Rizwan, U.
name: Smallcombe, J.
name: Smith, J. K.
name: Starosta, K.
name: Svensson, C. E.
name: Williams, J.
name: Williams, M.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The "Island of Inversion" for neutron-rich nuclei in the vicinity of N=20 has become the testing ground par excellence for our understanding and modelling of shell evolution with isospin. In this context, the structure of the transitional nucleus 29Mg is critical. The first quantitative measurements of the single particle structure of 29Mg are reported, using data from the d(28Mg,p gamma)29Mg reaction. Two key states carrying significant ell=3 (f-wave) strength were identified at 2.40 +/- 0.10 (Jpi = 5/2-) and 4.28 +/- 0.04 MeV (7/2-). New state-of-the-art shell model calculations have been performed and the predictions are compared in detail with the experimental results. Whilst the two lowest 7/2- levels are well described, the sharing of single-particle strength disagrees with experiment for both the 3/2- and 5/2- levels and there appear to be general problems with configurations involving the p3/2 neutron orbital and core-excited components. These conclusions are supported by an analysis of the neutron occupancies in the shell model calculations.
description: 15 pages, 10 figures, 4 tables
title: Myosotis sparsiflora J. C. Mikan ex Pohl
Creators: name: :None
Publisher: name: Universitätsbibliothek
Year: 2011
Subjects: subject: Digitale Pflanzenbilder: Sammlung Dietmar Brandes
subject: 580

description: Digitale Pflanzenbilder: Sammlung Dietmar Brandes
Modeling Customer Behavior for Revenue Management
Creators: Bansal, Matulya
Publisher: name: Columbia University
Year: 2012
Subjects: Business
Operations research

description: In this thesis, we model and analyze the impact of two behavioral aspects of customer decision making upon the revenue maximization problem of a monopolist firm. First, we study the revenue maximization problem of a monopolist firm selling a homogeneous good to a market of risk-averse, strategic customers. Using a discrete (but arbitrary) valuation distribution, we show how the dynamic pricing problem with strategic customers can be formulated as a mechanism design problem, thereby making it more amenable to analysis. We characterize the optimal solution, and solve the problem for several special cases. We perform asymptotic analysis for the low risk-aversion case and show that it is asymptotically optimal to offer at most two products. Second, we consider a revenue-maximizing monopolist firm that serves a market of customers that are heterogeneous with respect to their valuations and desire for a quality attribute. Instead of optimizing the net utility that results from an appropriate combination of product price and quality, as in the traditional model of customer behavior, we consider a setting where customers purchase the cheapest product subject to its quality exceeding a customer specific quality threshold. We call such preferences threshold preferences. We solve the firm’s product design problem in this setting, and contrast with the traditional model of customer choice behavior. We consider several scenarios where such preferences might arise, and identify the optimal solution in each case. In addition to these product design problems, we study the problem of identifying the optimal putting strategy for a golfer. We develop a model of golfer putting skill, and combine it with a putt trajectory and holeout model to identify a golfer’s optimal putting strategy. The problem of identifying the optimal putting strategy is shown to be equivalent to a two-dimensional stochastic shortest path problem, with continuous state and control space, and solved using approximate dynamic programming. We calibrate the golfer model to professional and amateur player data, and use the calibrated model to answer several interesting questions, e.g., how does green reading ability affect golfer performance, how do professional and amateur golfers differ in their strategy, how do uphill and downhill putts compare in difficulty, etc.
Modeling Corrosion in Suspension Bridge Main Cables
Creators: Karanci, Efe
Publisher: name: Columbia University
Year: 2017
Subjects: subject: Civil engineering
subject: FOS: Civil engineering
subject: Materials science
subject: Suspension bridges--Testing
subject: Steel--Corrosion
subject: Materials--Mathematical models

description: Accurately determining the current state of a suspension bridge’s main cables is a critical component to reliably assessing the safety of the bridge. The primary cause for the deterioration of cable strength with time is universally recognized to be the corrosion of high strength steel wires, which together comprise the main cable. Hidden from view by the cable wrapping, this corrosion often goes undetected for years and is typically only discovered during costly and intrusive inspections. Furthermore, current inspection methods provide an incomplete picture of the variation in wire condition across the cable cross section. As a result, cable strength estimation techniques that rely solely on inspection data introduce a considerable degree of uncertainty. Finally, a method has not been developed for estimating the continuing decline in cable strength due to ongoing corrosion. A recent direction in research attempts to address the shortcomings of current inspection methodologies and the intent of this thesis is to further build upon these findings.
      In these recent studies, environmental conditions inside main cables are monitored to obtain information regarding the corrosive nature of the cable’s internal environment. The first goal of this thesis is to further this research direction by introducing a corrosion rate model for bridge wires that relates the monitored environmental parameters within a cable to the corrosion rate of bridge wires. Initially, temperature, relative humidity, pH, and Cl- concentration have been identified as the most relevant variables for predicting the corrosion rate of a bridge wire. By applying machine learning methods to a corrosion dataset in conjunction with these monitored environmental inputs, a long term corrosion rate model for bridge wires has been developed that is capable of capturing variability associated with these environmental parameters.
      This long term corrosion rate model is then applied to establish a methodology that will allow bridge owners and engineers to estimate the remaining strength of a main cable at any point in time. This is accomplished through the use of continually monitored environmental parameters which are input into the corrosion rate model. Incorporating the long term corrosion rate model developed in this thesis with current strength estimation techniques, the methodology presented in this thesis for the estimation of the remaining strength of suspension bridge cables may be readily adapted to other bridges and can be used to complement the current best practices for bridge inspection.
Singular and maximal Radon transforms: Analysis and geometry
Creators: name: Christ, Michael
name: Nagel, Alexander
name: Stein, Elias M.
name: Wainger, Stephen
Publisher: name: arXiv
Year: 1999
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: The purpose of this paper is to prove the L^p boundedness of singular Radon transforms and their maximal analogues. These operators differ from the traditional singular integrals and maximal functions in that their definition at any point x in R^n involves integration over a k-dimensional submanifold of R^n, depending on x, with k < n. The role of the underlying geometric data which determines the submanifolds and how they depend on x, makes the analysis of these operators quite different from their standard analogues. In fact, much of our work is involved in the examination of the resulting geometric situation, and the elucidation of an attached notion of curvature (a kind of ``finite-type'' condition) which is crucial for our analysis.
description: 89 pages, published version, abstract added in migration
Synthesis of cationic gold(III) complexes using iodine(III)
Creators: name: Albayer, Mohammad
name: Dutton, Jason L.
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Medicine
subject: Molecular Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: We report the synthesis and characterization of cationic Au(III) complexes supported by nitrogen-based ligands. The syntheses are achieved by reacting Au(I) complexes [Au(N-Me-imidazole)2]+ and [Au(pyridine)(NHC)]+ with iodine(III) reagents PhI(OTf)(OAc) and [PhI(pyridine)2]2+ yielding a series of cationic gold(III) complexes. In contrast, reactions of phosphine ligated gold(I) complexes with iodine(III) reagents results in the oxidation of the phosphine ligand.
Deep Neural Network Ensembles for Time Series Classification
Creators: name: Fawaz, Hassan Ismail
name: Forestier, Germain
name: Weber, Jonathan
name: Idoumghar, Lhassane
name: Muller, Pierre-Alain
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Deep neural networks have revolutionized many fields such as computer vision and natural language processing. Inspired by this recent success, deep learning started to show promising results for Time Series Classification (TSC). However, neural networks are still behind the state-of-the-art TSC algorithms, that are currently composed of ensembles of 37 non deep learning based classifiers. We attribute this gap in performance due to the lack of neural network ensembles for TSC. Therefore in this paper, we show how an ensemble of 60 deep learning models can significantly improve upon the current state-of-the-art performance of neural networks for TSC, when evaluated over the UCR/UEA archive: the largest publicly available benchmark for time series analysis. Finally, we show how our proposed Neural Network Ensemble (NNE) is the first time series classifier to outperform COTE while reaching similar performance to the current state-of-the-art ensemble HIVE-COTE.
description: Accepted at IJCNN 2019
General linear and functor cohomology over finite fields
Creators: name: Franjou, Vincent
name: Friedlander, Eric M.
name: Scorichenko, Alexander
name: Suslin, Andrei
Publisher: name: arXiv
Year: 1999
Subjects: subject: Representation Theory (math.RT)
subject: K-Theory and Homology (math.KT)
subject: FOS: Mathematics

description: In recent years, there has been considerable success in computing Ext-groups of modular representations associated to the general linear group by relating this problem to one of computing Ext-groups in functor categories. In this paper, we extend our ability to make such Ext-group calculations by establishing several fundamental results. Throughout this paper, we work over fields of positive characteristic p.
description: 66 pages, published version, abstract added in migration
Haemonchus contortus
Creators: name: Zvegintsova, N. S.
name: Kharchenko, V. A.
name: Kuzmina, T. A.
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Animalia
Nematoda
Secernentea
Strongylida
Trichostrongylidae
Haemonchus
Haemonchus contortus

description: Haemonchus contortus (Rudolphi, 1808)
Hosts: American bison (P = 45.5 %; I = 21.2 (2–86)); common eland (P = 86.8 %; I = 268.5 (1–2,470)); saiga antelope (P = 21.7 %; I = 1.6 (1–3)); blue wildebeest (P = 100 %; I = 5); markhor (P = 36.7 %; I = 8.3 (2–16)); Barbary sheep (P = 40 %; I = 9.5 (3–16)); sitatunga (P = 33.3 %; I = 5); guanaco (P = 33.3 %; I = 4); llama (P = 33.3 %; I = 1).
Site of infection: abomasum, small intestine.
description: Published as part of Zvegintsova, N. S., Kharchenko, V. A. & Kuzmina, T. A., 2018, Helminths Of Exotic Even-Toed Ungulates (Artiodactyla) In The Askania-Nova Biosphere Reserve, Ukraine, pp. 471-494 in Vestnik Zoologii 52 (6) on page 477, DOI: 10.2478/vzoo-2018-0049, http://zenodo.org/record/6454977
Chaotic scattering around black holes
Creators: name: Aguirregabiria, Juan M.
Publisher: name: arXiv
Year: 1996
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: It is shown that the scattering of a charged test particle by a system of four extreme Reissner-Nordtröm black holes is chaotic in some cases. The fractal structure of the scattering angle and time delay functions is another manifestation of the existence of a nonattracting chaotic set: fractal basin boundaries were previously known.
description: REVTeX, 11 pages, 7 Postscript figures. References to recent (published and unpublished) works by other authors have been added. Results and figures remain unchanged
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Creators: name: Fawaz, Hassan Ismail
name: Forestier, Germain
name: Weber, Jonathan
name: Idoumghar, Lhassane
name: Muller, Pierre-Alain
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Time Series Classification (TSC) problems are encountered in many real life data mining tasks ranging from medicine and security to human activity recognition and food safety. With the recent success of deep neural networks in various domains such as computer vision and natural language processing, researchers started adopting these techniques for solving time series data mining problems. However, to the best of our knowledge, no previous work has considered the vulnerability of deep learning models to adversarial time series examples, which could potentially make them unreliable in situations where the decision taken by the classifier is crucial such as in medicine and security. For computer vision problems, such attacks have been shown to be very easy to perform by altering the image and adding an imperceptible amount of noise to trick the network into wrongly classifying the input image. Following this line of work, we propose to leverage existing adversarial attack mechanisms to add a special noise to the input time series in order to decrease the network's confidence when classifying instances at test time. Our results reveal that current state-of-the-art deep learning time series classifiers are vulnerable to adversarial attacks which can have major consequences in multiple domains such as food safety and quality assurance.
description: Accepted at IJCNN 2019
High frequency acoustic modes in vitreous Beryllium Fluoride probed by inelastic X-ray scattering
Creators: name: Scopigno, T.
name: Yannopoulos, S. N.
name: Kastrissios, D. Th.
name: Monaco, G.
name: Pontecorvo, E.
name: Ruocco, G.
name: Sette, F.
Publisher: name: arXiv
Year: 2002
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: Inelastic X-ray Scattering measurements of the dynamics structure factor have bene performed on vitreous Beryllium Fluoride ({\it v-}BeF$_2$) at $T$=297 K in the momentum transfer, $Q$, range $Q$=1.5$÷$10 nm$^{-1}$. We find evidence of well defined high frequency acoustic modes. The energy position and linewidth of the excitations disperse with $Q$ as $\propto Q$ and $\propto Q^2$, respectively up to about one half of the first maximum of the static structure factor. Their magnitude compare favorably with low-frequency sound velocity and absorption data. The results indicate worth mentioning similarities of the high frequency collective dynamics of different network forming glasses such as {\it v-}B$_2$O$_3$ and {\it v-}SiO$_2$.
description: 17 pages, 5 .ps figs
Enthüllungen. Zur Kritik des nackten Lebens.
Creators: name: Zakravsky, Katherina T.
Publisher: name: figshare
Year: 2019
Subjects: subject: 160512 Social Policy
subject: FOS: Political science
subject: Philosophy
subject: FOS: Philosophy, ethics and religion
subject: 220305 Ethical Theory

description: „Enthüllungen. Zur Kritik des ‚nackten Lebens’“. In: Auszug aus dem Lager. Zur Überwindung des modernen Raumparadigmas in der politischen Philosophie, hg. Ludger Schwarte, Bielefeld: Transcript 2007, S. 59-78, überarbeitet in: K. Zakravsky: Omega Surfing. Zu Biopolitik, Science Fiction und Pornografie. Löcker 2012, 127 – 157.
German Essay.Ausführliche Darlegung der Staats- und Humanismus-Kritik bei Foucault und Agamben, um Agambens These vom Lager als Paradigma der Moderne würdigen zu können. Mit Referenzen auf Primo Levi und die soziale Theorie des Ausnahmezustands anhand des nationalsozialistischen Konzentrationslager-Systems.
Modeling Lifetime Performance of Ceramic Matrix Composites with Reduced Order Homogenization Multiscale Methods
Creators: Artz, Timothy Steven
Publisher: name: Columbia University
Year: 2022
Subjects: Mechanics
Ceramic-matrix composites--Thermal properties
Composite materials
Damages--Mathematical models
Viscoplasticity--Mathematical models

description: Ceramic Matrix Composites (CMC) are attractive material systems for structural applications where resistance to intermediate (700 0C-950 0C) and high temperatures (900 0C-1400 0C) is required and low density is desired. There are currently barriers to a more widespread adoption of CMCs which include less robust simulation tools, which this dissertation seeks to address. A novel unified reduced order homogenization model for initial quasi-static, creep, and fatigue loading of SiC/SiC CMCs at intermediate and high temperatures is proposed. Driven by a single set of parameters, the model can seamlessly transition between initial quasi-static, creep, and fatigue regimes while capturing the complex material response of SiC/SiC CMCs. The reduced order homogenization approach provides a robust and efficient computational platform for analyzing composite behavior. Continuum damage mechanics provides the basis for the initial brittle CMC behavior while a hybrid damage-viscoplasticity model combined with an oxidation driven crack sealing effect drives the time-dependent brittle-ductile material behavior at high temperatures. A temporal multiscale approach extends the spatial multiscale model into fatigue regime at high temperatures, avoiding the computational complexity of modeling each cycle individually. At intermediate temperatures, a one-dimensional model based on the slow crack growth model originally proposed by Iyengar and Curtin is generalized to three dimensions focusing on a woven composite architecture. For this oxidation-assisted rupture model, the constitutive equation in the axial tow direction is governed by the continuum damage mechanics variant of the slow crack-growth model and the availability of oxygen to fibers, which in turn depends on the initial matrix pores and subsequent matrix cracking. The model is verified on two SiC/SiC material systems, S200H and GEA SMI, in both initial quasi-static and time-dependent loading regimes at both high and intermediate temperatures.
Modeling Narrative Discourse
Creators: Elson, David K.
Publisher: name: Columbia University
Year: 2012
Subjects: subject: Computer science
subject: Linguistics
subject: FOS: Languages and literature
subject: Artificial intelligence

description: This thesis describes new approaches to the formal modeling of narrative discourse. Although narratives of all kinds are ubiquitous in daily life, contemporary text processing techniques typically do not leverage the aspects that separate narrative from expository discourse. We describe two approaches to the problem. The first approach considers the conversational networks to be found in literary fiction as a key aspect of discourse coherence; by isolating and analyzing these networks, we are able to comment on longstanding literary theories. The second approach proposes a new set of discourse relations that are specific to narrative. By focusing on certain key aspects, such as agentive characters, goals, plans, beliefs, and time, these relations represent a theory-of-mind interpretation of a text. We show that these discourse relations are expressive, formal, robust, and through the use of a software system, amenable to corpus collection projects through the use of trained annotators. We have procured and released a collection of over 100 encodings, covering a set of fables as well as longer texts including literary fiction and epic poetry. We are able to inferentially find similarities and analogies between encoded stories based on the proposed relations, and an evaluation of this technique shows that human raters prefer such a measure of similarity to a more traditional one based on the semantic distances between story propositions.
Exact integrability of the su(n) Hubbard model
Creators: name: Maassarani, Z.
Publisher: name: arXiv
Year: 1997
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Theory (hep-th)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Physical sciences

description: The bosonic su(n) Hubbard model was recently introduced. The model was shown to be integrable in one dimension by exhibiting the infinite set of conserved quantities. I derive the R-matrix and use it to show that the conserved charges commute among themselves. This new matrix is a non-additive solution of the Yang-Baxter equation. Some properties of this matrix are derived.
description: 6 pages, LaTeX. One reference added
A comparison of pre-development and present molybdenum concentrations in vegetation on the Endako Mine Site and implications to ungulate health
Creators: name: Riordan, Barb
Publisher: name: The University of British Columbia
Year: 2009

description: Biogeochemical data collected at Endako Mine between 1950 and 1965, demonstrated that vegetation containing very high molybdenum concentrations was present over the orebody before mine development. Work conducted by the Geological Survey of Canada shows that a large molybdenum anomaly exists in the Endako Mine area, and vegetation with elevated molybdenum concentrations was present in areas surrounding the site before development. Since there is no evidence of unhealthy ungulates before mine development, it is assumed that the elevated molybdenum concentrations were not harmful to wildlife. The present risk of consuming vegetation growing in reclaimed areas of the mine site to moose and deer was assessed by comparing concentrations of molybdenum in vegetation growing on tailings and waste rock dumps with samples collected in 1964. The concentrations in reclaimed areas are lower than those measured over the orebody, and indicate that vegetation on reclaimed sites is not more harmful to wildlife than that sampled before mine development. This is supported by two studies conducted at the mine which demonstrate that moose and deer are not showing signs of molybdenosis.
Low-cost dual-energy CBCT by spectral filtration of a dual focal spot X-ray source
Creators: name: Inscoe, Christina R.
name: Lu, Jianping
name: Li, Bokuan
name: Tyndall, Donald A.
name: Li, Boyuan
name: Xu, Shuang
name: Lee, Yueh Z.
name: Hu, Yuanming
name: Zhou, Otto
Publisher: name: Springer Nature
Year: 2024

description: Dual-energy cone beam computed tomography (DE-CBCT) has been shown to provide more information and improve performance compared to a conventional single energy spectrum CBCT. Here we report a low-cost DE-CBCT by spectral filtration of a carbon nanotube x-ray source array. The x-ray photons from two focal spots were filtered respectively by a low and a high energy filter. Projection images were collected by alternatively activating the two beams while the source array and detector rotated around the object, and were processed by a one-step materials decomposition and reconstruction method. The performance of the DE-CBCT scanner was evaluated by imaging a water-equivalent plastic phantom with inserts containing known densities of calcium or iodine and an anthropomorphic head phantom with dental implants. A mean energy separation of 15.5 keV was achieved at acceptable dose rates and imaging time. Accurate materials quantification was obtained by materials decomposition. Metal artifacts were reduced in the virtual monoenergetic images synthesized at high energies. The results demonstrated the feasibility of high quality DE-CBCT imaging by spectral filtration without using either an energy sensitive detector or rapid high voltage switching.
Dynamical symmetry and breathers in a two-dimensional Bose gas
Creators: name: Saint-Jalm, Raphaël
name: Castilho, Patricia C. M.
name: Cerf, Édouard Le
name: Bakkali-Hassani, Brice
name: Ville, Jean-Loup
name: Nascimbene, Sylvain
name: Beugnon, Jérôme
name: Dalibard, Jean
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: A fluid is said to be \emph{scale-invariant} when its interaction and kinetic energies have the same scaling in a dilation operation. In association with the more general conformal invariance, scale invariance provides a dynamical symmetry which has profound consequences both on the equilibrium properties of the fluid and its time evolution. Here we investigate experimentally the far-from-equilibrium dynamics of a cold two-dimensional rubidium Bose gas. We operate in the regime where the gas is accurately described by a classical field obeying the Gross--Pitaevskii equation, and thus possesses a dynamical symmetry described by the Lorentz group SO(2,1). With the further simplification provided by superfluid hydrodynamics, we show how to relate the evolutions observed for different initial sizes, atom numbers, trap frequencies and interaction parameters by a scaling transform. Finally we show that some specific initial shapes - uniformly-filled triangles or disks - may lead to a periodic evolution, corresponding to a novel type of breather for the two-dimensional Gross--Pitaevskii equation.
description: revised version: 11 pages + Appendix + Supplemental Material, 7 figures (main text) + 9 figures (SM)
Additional file 9 of Evolution, expression and functional analysis of cultivated allotetraploid cotton DIR genes
Creators: name: Liu, Zhengwen
name: Wang, Xingfen
name: Sun, Zhengwen
name: Zhang, Yan
name: Meng, Chengsheng
name: Chen, Bin
name: Wang, Guoning
name: Ke, Huifeng
name: Wu, Jinhua
name: Yan, Yuanyuan
name: Wu, Liqiang
name: Li, Zhikun
name: Yang, Jun
name: Zhang, Guiyin
name: Ma, Zhiying
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 9. The original, unprocessed images
Modeling Nanoscale Transport Systems
Creators: Idan, Ofer
Publisher: name: Columbia University
Year: 2014
Subjects: Biomedical engineering

description: Mathematical formulation and physical models are the foundation of scientific understanding and technological advancement. Our ability to design experiments effectively is heavily dependent on our physical understanding of the system under investigation, and careful mathematical analysis is required in order to effectively progress from scientific concepts towards viable technologies. With increasing system complexity, the focus of mathematical formulation has shifted from simple, elegant models which rely on basic physical concepts to tailored, increasingly complex solutions using high-powered simulations and numerical solutions. While these methods may provide insights into specific systems, adapting these models to different systems is generally difficult, even when the systems under question operate according to the same physical laws. This is especially evident in nanobiotechnology, where the complexity of the systems studied has given rise to experiment-driven focus. Our aim is to focus on the mathematical modeling of transport processes in nanoscale systems, and to construct generalized, conceptual models for three model systems, which in turn could be applied to many biological and engineered systems.
      The three model systems we use - enzyme cascades, coupled molecular motors and self-assembling molecular shuttles provide a broad basis for generalized transport systems in nanoscale systems. These systems combine diffusive and active transport, as well as diverse assembly conditions and multi-scale systems with size scales spanning nano- to millimeter sizes and system complexity ranging from isolated two-component systems to multimolecular, highly-coupled systems. By applying and adapting these basic models to increasingly complex systems, we can both understand the physics behind nanoscale systems, as well as design these systems with increased robustness, scalability and repeatability.
Automated calibration of a lightweight robot using machine vision
Creators: name: Barton, David
name: Schwab, Jonas
name: Fleischer, Jürgen
Publisher: name: Apprimus Wissenschaftsverlag
Year: 2017

description: Calibration of industrial robots can greatly reduce commissioning time by avoiding expensive online programming. This article presents an approach to automating the measurement and compensation of kinematic errors, applied to a lightweight robot arm. A measurement station is designed to automate this calibration process. The measurement is based on the detection of a chequerboard pattern in camera images of the end-effector. An electronic description of the robot including its individual compensation parameters is then provided in the standardised format AutomationML and transmitted via OPC UA. The approach requires only minimal manual input and is shown to significantly improve the positioning accuracy of the robot.
Integrable Hamiltonian systems on Lie groups: Kowalevski type
Creators: name: Jurdjevic, Velimir
Publisher: name: arXiv
Year: 1999
Subjects: subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics

description: The contributions of Sophya Kowalewski to the integrability theory of the equations for the heavy top extend to a larger class of Hamiltonian systems on Lie groups; this paper explains these extensions, and along the way reveals further geometric significance of her work in the theory of elliptic curves. Specifically, in this paper we shall be concerned with the solutions of the following differential system in six variables h_1,h_2,h_3,H_1,H_2,H_3 dH_1/dt = H_2 H_3 (1/c_3 - 1/c_2) + h_2 a_3 - h_3 a_2, dH_2/dt = H_1 H_3 (1/c_1 - 1/c_3) + h_3 a_1 - h_1 a_3, dH_3/dt = H_1 H_2 (1/c_2 - 1/c_1) + h_1 a_2 - h_2 a_1, dh_1/dt = h_2 H_3/c_3 - h_3 H_2/c_2 + k (H_2 a_3 - H_3 a_2), dh_2/dt = h_3 H_1/c_1 - h_1 H_3/c_3 + k (H_3 a_1 - H_1 a_3), dh_3/dt = h_1 H_2/c_2 - h_2 H_1/c_1 + k (H_1 a_2 - H_2 a_1), in which a_1,a_2,a_3,c_1,c_2,c_3 and k are constants.
description: 40 pages, published version, abstract added in migration
Modeling Strategies for Large Dimensional Vector Autoregressions
Creators: Zang, Pengfei
Publisher: name: Columbia University
Year: 2012
Subjects: subject: Statistics
subject: FOS: Mathematics

description: The vector autoregressive (VAR) model has been widely used for describing the dynamic behavior of multivariate time series. However, fitting standard VAR models to large dimensional time series is challenging primarily due to the large number of parameters involved. In this thesis, we propose two strategies for fitting large dimensional VAR models. The first strategy involves reducing the number of non-zero entries in the autoregressive (AR) coefficient matrices and the second is a method to reduce the effective dimension of the white noise covariance matrix. We propose a 2-stage approach for fitting large dimensional VAR models where many of the AR coefficients are zero. The first stage provides initial selection of non-zero AR coefficients by taking advantage of the properties of partial spectral coherence (PSC) in conjunction with BIC. The second stage, based on $t$-ratios and BIC, further refines the spurious non-zero AR coefficients post first stage. Our simulation study suggests that the 2-stage approach outperforms Lasso-type methods in discovering sparsity patterns in AR coefficient matrices of VAR models. The performance of our 2-stage approach is also illustrated with three real data examples. Our second strategy for reducing the complexity of a large dimensional VAR model is based on a reduced-rank estimator for the white noise covariance matrix. We first derive the reduced-rank covariance estimator under the setting of independent observations and give the analytical form of its maximum likelihood estimate. Then we describe how to integrate the proposed reduced-rank estimator into the fitting of large dimensional VAR models, where we consider two scenarios that require different model fitting procedures. In the VAR modeling context, our reduced-rank covariance estimator not only provides interpretable descriptions of the dependence structure of VAR processes but also leads to improvement in model-fitting and forecasting over unrestricted covariance estimators. Two real data examples are presented to illustrate these fitting procedures.
The stochastic gravity-wave background: sources and detection
Creators: name: Allen, Bruce
Publisher: name: arXiv
Year: 1996
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: A world-wide effort is now underway to build gravitational wave detectors based on highly-sensitive laser interferometers. When data from detectors at different sites is properly combined, it will permit highly-sensitive searches for a stochastic background of relic gravitational radiation. These lectures (from the Les Houches School in October 1995) review the current status of this program, and discuss the methods by which data from different detectors can be used to make measurements of, or place limits on, a stochastic background. They also review possible cosmological sources and their potential detectability.
description: 45 pages, latex w/CUP cupconf.sty macros and epsfig, 18 postscript figures included. To appear in: Proceedings of the Les Houches School on Astrophysical Sources of Gravitational Waves, eds. Jean-Alain Marck and Jean-Pierre Lasota, to be published by Cambridge University Press 1996. (Note NEW publisher). Revisions: typos corrected, 4-month limits on \Omega slightly improved, references added, recent work discussed, equations renumbered by section, factor of 2 error corrected in equation for \Omega from strings
Ostertagia trifurcata
Creators: name: Zvegintsova, N. S.
name: Kharchenko, V. A.
name: Kuzmina, T. A.
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Animalia
Nematoda
Secernentea
Strongylida
Trichostrongylidae
Ostertagia
Ostertagia trifurcata

description: O. trifurcata (Ransom, 1907)
Hosts: common eland (P = 7.9 %; I = 6.3 (2–14)), blackbuck (P = 50 %; I = 75.8 (5–183)), markhor (P = 9.1 %; I = 13); European mouflon (P = 30 %; I = 791.7 (350–1,050), Barbary sheep (P = 40 %; I = 343 (61–625)); saiga antelope (P = 13 %; I = 2.3 (2–3)).
Site of infection: abomasum, small intestine.
description: Published as part of Zvegintsova, N. S., Kharchenko, V. A. & Kuzmina, T. A., 2018, Helminths Of Exotic Even-Toed Ungulates (Artiodactyla) In The Askania-Nova Biosphere Reserve, Ukraine, pp. 471-494 in Vestnik Zoologii 52 (6) on page 478, DOI: 10.2478/vzoo-2018-0049, http://zenodo.org/record/6454977
Federated Research Profile Management for Researcher in India: Indian Research Information Network System (IRINS)
Creators: name: Kannan Palavesam
name: Kimidi, Siva Shankar
name: Arora, Jagdish
Publisher: name: Figshare
Year: 2019
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: The article describes Indian Research Information Network System and its impact in the higher education system in Indian. The article also, challenges for implementing the research information management in the academic environment.