cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 3 of Thrombotic and haemorrhagic complications in critically ill patients with COVID-19: a multicentre observational study
Creators: name: Shah, Akshay
name: Donovan, Killian
name: McHugh, Anna
name: Pandey, Manish
name: Aaron, Louise
name: Bradbury, Charlotte A.
name: Stanworth, Simon J.
name: Alikhan, Raza
name: Von Kier, Stephen
name: Maher, Keith
name: Curry, Nicola
name: Shapiro, Susan
name: Rowland, Matthew J.
name: Thomas, Matt
name: Mason, Richard
name: Holland, Matthew
name: Holmes, Tom
name: Ware, Michael
name: Gurney, Stefan
name: McKechnie, Stuart R.
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Science Policy
subject: Hematology

description: Additional file 3. Thrombotic and haemorrhagic complications by individual participating centre.
A nonrelativistic quantum field theory with point interactions in three dimensions
Creators: name: Lampart, Jonas
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 81T10, 81T16, 81Q10

description: We construct a Hamiltonian for a quantum-mechanical model of nonrelativistic particles in three dimensions interacting via the creation and annihilation of a second type of nonrelativistic particles, which are bosons. The interaction between the two types of particles is a point interaction concentrated on the points in configuration space where the positions of two different particles coincide. We define the operator, and its domain of self-adjointness, in terms of co-dimension-three boundary conditions on the set of collision configurations relating sectors with different numbers of particles.
description: v4: Additional references
Molecular structure, vibrational spectroscopic, frontier molecular orbital and natural bond orbital analysis of anti-cancer drug 6-chloro-3- pyridine carbonitrile
Creators: name: Sheeba, G. Golding
name: Usha, D.
name: Amalanathan, M.
name: Mary, M. Sony Michael
name: MarshanRobert, H.
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: Molecular Biology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Computational Biology

description: The optimized parameters, the vibrational wavenumbers of 6-chloro-3-Pyridinecarbonitrile were determined by utilizing density functional method. Vibrational task of the molecule was finished by utilizing potential energy distribution examination. Natural bond orbital examination, Mulliken charge investigation and Frontier Molecular Orbital energy were utilized to explain the reasons for intra molecular charge move. Complete vibrational tasks of the molecule have been done based on the potential energy distribution. The molecular electrostatic potential mapped onto complete density surface has been acquired. The various intramolecular interactions have been exposed by natural bond orbital analysis. Docking studies were conducted to predict its anticancer activity.
NC Algorithms for Computing a Perfect Matching and a Maximum Flow in One-Crossing-Minor-Free Graphs
Creators: name: Eppstein, David
name: Vazirani, Vijay V.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Computer and information sciences
subject: F.2.2

description: In 1988, Vazirani gave an NC algorithm for computing the number of perfect matchings in $K_{3,3}$-minor-free graphs by building on Kasteleyn's scheme for planar graphs, and stated that this "opens up the possibility of obtaining an NC algorithm for finding a perfect matching in $K_{3,3}$-free graphs." In this paper, we finally settle this 30-year-old open problem. Building on recent NC algorithms for planar and bounded-genus perfect matching by Anari and Vazirani and later by Sankowski, we obtain NC algorithms for perfect matching in any minor-closed graph family that forbids a one-crossing graph. This family includes several well-studied graph families including the $K_{3,3}$-minor-free graphs and $K_5$-minor-free graphs. Graphs in these families not only have unbounded genus, but can have genus as high as $O(n)$. Our method applies as well to several other problems related to perfect matching. In particular, we obtain NC algorithms for the following problems in any family of graphs (or networks) with a one-crossing forbidden minor: $\bullet$ Determining whether a given graph has a perfect matching and if so, finding one. $\bullet$ Finding a minimum weight perfect matching in the graph, assuming that the edge weights are polynomially bounded. $\bullet$ Finding a maximum $st$-flow in the network, with arbitrary capacities. The main new idea enabling our results is the definition and use of matching-mimicking networks, small replacement networks that behave the same, with respect to matching problems involving a fixed set of terminals, as the larger network they replace.
description: 21 pages, 6 figures
Odd Khovanov homology
Creators: name: Ozsvath, Peter
name: Rasmussen, Jacob
name: Szabo, Zoltan
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Algebra (math.QA)
subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57M25, 57Q45

description: We describe an invariant of links in the three-sphere which is closely related to Khovanov's Jones polynomial homology. Our construction replaces the symmetric algebra appearing in Khovanov's definition with an exterior algebra. The two invariants have the same reduction modulo 2, but differ over the rationals. There is a reduced version which is a link invariant whose graded Euler characteristic is the normalized Jones polynomial.
description: 16 pages, 12 figures
The effect of RNA stiffness on the self-assembly of virus particles
Creators: name: Li, Siyu
name: Erdemci-Tandogan, Gonca
name: van der Schoot, Paul
name: Zandi, Roya
Publisher: name: arXiv
Year: 2018
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Biomolecules (q-bio.BM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: Under many in vitro conditions, some small viruses spontaneously encapsidate a single stranded (ss) RNA into a protein shell called the capsid. While viral RNAs are found to be compact and highly branched because of long distance base-pairing between nucleotides, recent experiments reveal that in a head-to-head competition between a ssRNA with no secondary or higher order structure and a viral RNA, the capsid proteins preferentially encapsulate the linear polymer! In this paper, we study the impact of genome stiffness on the encapsidation free energy of the complex of RNA and capsid proteins. We show that an increase in effective chain stiffness because of base-pairing could be the reason why under certain conditions linear chains have an advantage over branched chains when it comes to encapsidation efficiency. While branching makes the genome more compact, RNA base-pairing increases the effective Kuhn length of the RNA molecule, which could result in an increase of the free energy of RNA confinement, that is, the work required to encapsidate RNA, and thus less efficient packaging.
Putting Engineering into Software Engineering Education
Creators: name: Shaw, Mary
Publisher: name: Carnegie Mellon University
Year: 1991
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: The current practice of software engineering bears only slight resemblance to the usual standards of engineering practice. This is in part a consequence of the immaturity of the field, but it also results from the failure of software engineering education to instill an engineering mindset in students. This position paper discusses the character of engineering practice with special emphasis on the routine use of reference materials; based on this characterization, it suggests ways software engineering education could better support good engineering practice.
Interaction of massive black hole binaries with their stellar environment: III. Scattering of bound stars
Creators: name: Sesana, Alberto
name: Haardt, Francesco
name: Madau, Piero
Publisher: name: arXiv
Year: 2007
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We develop a formalism for studying the dynamics of massive black hole binaries embedded in gravitationally-bound stellar cusps, and study the binary orbital decay by three-body interactions, the impact of stellar slingshots on the density profile of the inner cusp, and the properties of the ejected hypervelocity stars (HVSs). We find that the scattering of bound stars shrinks the binary orbit and increases its eccentricity more effectively than that of unbound ambient stars. Binaries with initial eccentricities e>0.3 and/or unequal-mass companions (M_2/M_1<0.1) can decay by three-body interactions to the gravitational wave emission regime in less than a Hubble time. The stellar cusp is significantly eroded, and cores as shallow as ρ\propto r^-0.7 may develop from a pre-existing singular isothermal density profile. A population of HVSs is ejected in the host galaxy halo, with a total mass ~M_2. We scale our results to the scattering of stars bound to Sgr A*, the massive black hole in the Galactic Center, by an inspiraling companion of intermediate mass. Depending on binary mass ratio, eccentricity, and initial slope of the stellar cusp, a core of radius ~0.1 pc typically forms in 1-10 Myr. On this timescale about 500-2500 HVSs are expelled with speeds sufficiently large to escape the gravitational potential of the Milky Way.
description: 13 pages, 16 figures, 2 tables, some major revisions, accepted for publication by ApJ
Modelling the structure of star clusters with fractional Brownian motion
Creators: name: Lomax, O.
name: Bates, M. L.
name: Whitworth, A. P.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The degree of fractal substructure in molecular clouds can be quantified by comparing them with Fractional Brownian Motion (FBM) surfaces or volumes. These fields are self-similar over all length scales and characterised by a drift exponent $H$, which describes the structural roughness. Given that the structure of molecular clouds and the initial structure of star clusters are almost certainly linked, it would be advantageous to also apply this analysis to clusters. Currently, the structure of star clusters is often quantified by applying $\mathcal{Q}$ analysis. $\mathcal{Q}$ values from observed targets are interpreted by comparing them with those from artificial clusters. These are typically generated using a Box-Fractal (BF) or Radial Density Profile (RDP) model. We present a single cluster model, based on FBM, as an alternative to these models. Here, the structure is parameterised by $H$, and the standard deviation of the log-surface/volume density $σ$. The FBM model is able to reproduce both centrally concentrated and substructured clusters, and is able to provide a much better match to observations than the BF model. We show that $\mathcal{Q}$ analysis is unable to estimate FBM parameters. Therefore, we develop and train a machine learning algorithm which can estimate values of $H$ and $σ$, with uncertainties. This provides us with a powerful method for quantifying the structure of star clusters in terms which relate to the structure of molecular clouds. We use the algorithm to estimate the $H$ and $σ$ for several young star clusters, some of which have no measurable BF or RDP analogue.
description: 11 Pages, accepted by MNRAS
Continual Learning Using Out-of-Distribution Detection
Creators: name: Kim, Gyuhak
Publisher: name: University of Illinois at Chicago
Year: 2024

description: Continual learning (CL) is a machine learning paradigm that focuses on enabling AI systems to learn from a sequence of tasks while retaining the acquired knowledge during the process to become capable of performing all the learned tasks. Although humans possess a remarkable ability to acquire new knowledge for a new task while remaining capable of performing the previously learned tasks, it remains extremely difficult for neural networks. A main challenge of CL is the issue of catastrophic forgetting (CF), which is the phenomenon where the AI system completely forgets the previous knowledge after learning a new task. Several methods have been proposed for the two main learning scenarios in CL. The first is task-incremental learning (TIL). This scenario assumes that the task information of a test instance is given at inference. On the other hand, class-incremental learning (CIL) assumes no task information at testing. In this thesis, we focus on CIL, which is especially challenging due to the additional problem of finding decision boundaries between the classes of different tasks without access to the previous task data during training and task-id during testing.

In this thesis, we first conduct a theoretical study on how to solve CIL. We show that the CIL problem can be decomposed into two problems. The first one is the within-task prediction (WP) problem. WP is in fact equivalent to TIL. The other is the task-id prediction (TP) problem. We further show that TP can be solved by out-of-distribution (OOD) detection, and similarly, OOD detection can be solved by TP. These findings establish necessary and sufficient conditions for CIL: a good CIL method produces good WP and TP performances, and a good WP and TP make a good CIL. Finally, based on the problem decomposition, we show that CIL is actually learnable. Several highly effective CIL techniques are designed to demonstrate the effectiveness of our theoretical analysis. The first two methods are called HAT+CSI and Sup+CSI. They combine the existing OOD detection technique CSI with the TIL methods HAT and SupSup. The proposed methods are based on ResNet-18 and outperform strong baselines in both TIL and CIL by large margins. Two additional methods are called Multi-head model for continual learning via OOD REplay (MORE) and Replay, OOD, and WP for CIL (ROW). The two methods are similar to each other as both use the replay samples in a memory buffer to train OOD detection models, but ROW is more principled and stronger than MORE as it is based on the decomposition. The two methods outperform strong baselines. They are also effective with very few replay samples and are naturally capable of detecting OOD instances while classifying the continually learned classes. We demonstrate our proposed methods via extensive experiments using the standard public benchmark datasets: MNIST, CIFAR, and Tiny-ImageNet.
Spectral flattening of Crab Giant Pulses
Creators: name: Meyers, B. W.
name: Tremblay, S. E.
name: Bhat, N. D. R.
name: Shannon, R. M.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The frequency dependence of normal pulsar radio emission is typically observed to be a power law, with some indications of a flattening or turnover at low frequencies ($<100$ MHz). The spectrum of the Crab pulsar's giant pulse emission has not been examined as closely. We conducted simultaneous wideband observations of the Crab pulsar, with the Parkes radio telescope and the Murchison Widefield Array, to study the spectral behaviour of its giant pulses. Our analysis shows that the mean spectral index of Crab giant pulses flattens at low frequencies, from $-2.6\pm0.5$ between the Parkes bands, to $-0.7\pm1.4$ between the lowest MWA subbands.
description: 2 pages, 1 figure, to appear in the Proceedings of IAU Symposium 337, Pulsar Astrophysics - The Next 50 Years
Exploring annotations for musical pattern discovery gathered with digital annotation tools
Creators: name: Tomašević, Darian
name: Wells, Stephan
name: Ren, Iris Yuping
name: Volk, Anja
name: Pesek, Matevž
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
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
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Inorganic Chemistry
subject: Science Policy
subject: Plant Biology

description: The study of inter-annotator agreement in musical pattern annotations has gained increased attention over the past few years. While expert annotations are often taken as the reference for evaluating pattern discovery algorithms, relying on just one reference is not usually sufficient to capture the complex musical relations between patterns. In this paper, we address the potential of digital annotation tools to enable large-scale annotations of musical patterns, by comparing datasets gathered with two recently developed digital tools. We investigate the influence of the tools and different annotator backgrounds on the annotation process by performing inter-annotator agreement analysis and feature-based analysis on the annotated patterns. We discuss implications for further adaptation of annotation tools, and the potential for deriving reference data from such rich annotation datasets for the evaluation of automatic pattern discovery algorithms in the future.
Pushing the limits of rational agents: the Trading Agent Competition for Supply Chain Management (CMU-ISR-09-129)
Creators: name: Collins, John
name: Ketter, Wolfgang
name: Sadeh-Koniecpol, Norman
Publisher: name: Carnegie Mellon University
Year: 2009
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: Over the years, competitions have been important catalysts for progress in Artificial Intelligence. We describe one such competition, the Trading Agent Competition for Supply Chain Management (TAC SCM). We discuss its significance in the context of today’s global market economy as well as AI research, the ways in which it breaks away from limiting assumptions made in prior work, and some of the advances it has engendered over the past six years. TAC SCM requires autonomous supply chain entities, modeled as agents, to coordinate their internal operations while concurrently trading in multiple dynamic and highly competitive markets. Since its introduction in 2003, the competition has attracted over 150 entries and brought together researchers from AI and beyond in the form of 75 competing teams from 25 different countries.
TSViz: Demystification of Deep Learning Models for Time-Series Analysis
Creators: name: Siddiqui, Shoaib Ahmed
name: Mercier, Dominik
name: Munir, Mohsin
name: Dengel, Andreas
name: Ahmed, Sheraz
Publisher: name: arXiv
Year: 2018
Subjects: subject: Machine Learning (cs.LG)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: This paper presents a novel framework for demystification of convolutional deep learning models for time-series analysis. This is a step towards making informed/explainable decisions in the domain of time-series, powered by deep learning. There have been numerous efforts to increase the interpretability of image-centric deep neural network models, where the learned features are more intuitive to visualize. Visualization in time-series domain is much more complicated as there is no direct interpretation of the filters and inputs as compared to the image modality. In addition, little or no concentration has been devoted for the development of such tools in the domain of time-series in the past. TSViz provides possibilities to explore and analyze a network from different dimensions at different levels of abstraction which includes identification of parts of the input that were responsible for a prediction (including per filter saliency), importance of different filters present in the network for a particular prediction, notion of diversity present in the network through filter clustering, understanding of the main sources of variation learnt by the network through inverse optimization, and analysis of the network's robustness against adversarial noise. As a sanity check for the computed influence values, we demonstrate results regarding pruning of neural networks based on the computed influence information. These representations allow to understand the network features so that the acceptability of deep networks for time-series data can be enhanced. This is extremely important in domains like finance, industry 4.0, self-driving cars, health-care, counter-terrorism etc., where reasons for reaching a particular prediction are equally important as the prediction itself. We assess the proposed framework for interpretability with a set of desirable properties essential for any method.
description: 7 Pages (6 + 1 for references), 7 figures
Rotating Boson Stars and Q-Balls II: Negative Parity and Ergoregions
Creators: name: Kleihaus, Burkhard
name: Kunz, Jutta
name: List, Meike
name: Schaffer, Isabell
Publisher: name: arXiv
Year: 2007
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We construct axially symmetric, rotating boson stars with positive and negative parity. Their flat space limits represent spinning Q-balls. $Q$-balls and boson stars exist only in a limited frequency range. The coupling to gravity gives rise to a spiral-like frequency dependence of the mass and charge of boson stars. We analyze the properties of these solutions. In particular, we discuss the presence of ergoregions in boson stars, and determine their domains of existence.
description: 20 pages, 17 figures
Theory of NMR in semiconductor quantum point contact devices
Creators: name: Cooper, N. R.
name: Tripathi, V.
Publisher: name: arXiv
Year: 2007
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We describe how a local non-equilibrium nuclear polarisation can be generated and detected by electrical means in a semiconductor quantum point contact device. We show that measurements of the nuclear spin relaxation rate will provide clear signatures of the interaction mechanism underlying the "0.7" conductance anomaly. Our analysis illustrates how nuclear magnetic resonance methods, which are used extensively to study strongly-correlated electron phases in bulk materials, can be made to play a similarly important role in nanoscale devices.
Liver and spleen predominantly mediate calciprotein particle clearance in a rat model of chronic kidney disease
Creators: name: De baaij, Jeroen
name: Zeper, Lara
name: Hoenderop, Joost
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 320199
subject: Cardiovascular medicine and haematology not elsewhere classified

description: Calciprotein particles (CPP) provide an efficient mineral buffering system to prevent the complexation of phosphate and calcium in the circulation. However, in chronic kidney disease (CKD), the phosphate load exceeds the mineral buffering capacity, resulting in the formation of crystalline CPP2 particles. CPP2 have been associated with cardiovascular events and mortality. Moreover, CPP2 have been demonstrated to induce calcification in vitro. In this study, we examined the fate of CPP2 in a rat model of CKD.Calcification was induced in Sprague Dawley rats by a 5/6-nephrectomy (5/6-Nx) combined with a high phosphate diet. Control rats received a sham surgery and high phosphate diet. Twelve weeks after surgery kidney failure was significantly induced in 5/6-Nx rats as determined by enhanced creatinine and urea plasma levels and abnormal kidney histological architecture. Subsequently, radioactive and fluorescent (FITC)-labeled CPP2 ([89Zr]Zr-CPP2-FITC) were injected i.v. to determine clearance in vivo. Using positron emission tomography scans and radioactive biodistribution measurements, it was demonstrated that [89Zr]Zr-CPP2-FITC are mainly present in the liver and spleen in both 5/6-Nx and sham rats. Immunohistochemistry showed that [89Zr]Zr-CPP2-FITC are predominantly taken up by Kupffer cells. However, [89Zr]Zr-CPP2-FITC could also be detected in hepatocytes. In the different parts of the aorta and in the blood, low values of [89Zr]Zr-CPP2-FITC were detectable, independent of the presence of calcification.CPP2 are cleared rapidly from the circulation by the liver and spleen in a rat model of CKD. In the liver, both Kupffer cells and hepatocytes contribute to CPP2 clearance.
Belief propagation algorithm for computing correlation functions in finite-temperature quantum many-body systems on loopy graphs
Creators: name: Poulin, David
name: Bilgin, Ersen
Publisher: name: arXiv
Year: 2007
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Belief propagation -- a powerful heuristic method to solve inference problems involving a large number of random variables -- was recently generalized to quantum theory. Like its classical counterpart, this algorithm is exact on trees when the appropriate independence conditions are met and is expected to provide reliable approximations when operated on loopy graphs. In this paper, we benchmark the performances of loopy quantum belief propagation (QBP) in the context of finite-tempereture quantum many-body physics. Our results indicate that QBP provides reliable estimates of the high-temperature correlation function when the typical loop size in the graph is large. As such, it is suitable e.g. for the study of quantum spin glasses on Bethe lattices and the decoding of sparse quantum error correction codes.
description: 5 pages, 4 figures
Piezoelectric Polar Nano Regions and Relaxation-Coupled Resonances in Relaxor Ferroelectrics
Creators: name: Cai, Ling
name: Pattnaik, Radha
name: Lundeen, Joel
name: Toulouse, Jean
Publisher: name: arXiv
Year: 2018
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: \indent It is a generally accepted fact that the unique dielectric properties of relaxor ferroelectrics are related to the formation of polar nanoregion (PNRs). Less well recognized is the corollary that, because they are polar and therefore lack inversion symmetry, PNRs are also piezoelectric at the nanoscale and can therefore behave as nanoresonators. Using the particular relaxor ferroelectric K$_{\tt1-x}$Li$_{\tt x}$TaO$_{\tt 3}$ (KLT), we show that, when electrically excited into oscillation, these piezoelectric nanoresonators can drive macroscopic electro-mechanical resonances. Unexpectedly however, pairs of coupled resonances are observed, with one of the two exhibiting a characteristic Fano-like lineshape. The complex resonance spectra can be described equally well by two alternative but complementary models both involving two resonances coupled through a relaxation: a purely classical one based on two coupled damped harmonic oscillators and a semi-classical based on two discrete excitations coupled to each other through a continuum. Together, they provide complementary perspectives on the underlying physics of the system. Both reproduce the rapid evolution of the resonance spectrum across three wide temperature ranges, including a phase transition range. In the high temperature range, the coupling between modes is due to the collective $π$ relaxation of the lithium ions within PNRs and in the phase transition range to "heterophase relaxation" of the surrounding lattice between its high temperature cubic and low temperature tetragonal phases. The coupling is suppressed in the intermediate range of the collective $π/2$ relaxation of the lithium ions. Incidentally, the measured dielectric spectra are shown to bear a surprising but justifiable resemblance to the optical spectra of certain atomic vapors that exhibit electromagnetically induced transparency.
description: 12 pages, 13 figures
Bound-free pair production cross section in heavy-ion colliders from the equivalent photon approach
Creators: name: Aste, Andreas
Publisher: name: arXiv
Year: 2007
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Exact calculations of the electron-positron pair production by a single photon in the Coulomb field of a nucleus with simultaneous capture of the electron into the K-shell are discussed for different nuclear charges. Using the equivalent photon method of Weizsaecker and Williams, a simple expression for the bound-free production of electron-positron pairs by colliding very-high-energy fully stripped heavy ions is derived for nuclei of arbitrary charge.
description: 4 pages, 2 figures, style file included
Liver and spleen predominantly mediate calciprotein particle clearance in a rat model of chronic kidney disease
Creators: name: De baaij, Jeroen
name: Zeper, Lara
name: Hoenderop, Joost
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 320199
subject: Cardiovascular medicine and haematology not elsewhere classified

description: Calciprotein particles (CPP) provide an efficient mineral buffering system to prevent the complexation of phosphate and calcium in the circulation. However, in chronic kidney disease (CKD), the phosphate load exceeds the mineral buffering capacity, resulting in the formation of crystalline CPP2 particles. CPP2 have been associated with cardiovascular events and mortality. Moreover, CPP2 have been demonstrated to induce calcification in vitro. In this study, we examined the fate of CPP2 in a rat model of CKD.Calcification was induced in Sprague Dawley rats by a 5/6-nephrectomy (5/6-Nx) combined with a high phosphate diet. Control rats received a sham surgery and high phosphate diet. Twelve weeks after surgery kidney failure was significantly induced in 5/6-Nx rats as determined by enhanced creatinine and urea plasma levels and abnormal kidney histological architecture. Subsequently, radioactive and fluorescent (FITC)-labeled CPP2 ([89Zr]Zr-CPP2-FITC) were injected i.v. to determine clearance in vivo. Using positron emission tomography scans and radioactive biodistribution measurements, it was demonstrated that [89Zr]Zr-CPP2-FITC are mainly present in the liver and spleen in both 5/6-Nx and sham rats. Immunohistochemistry showed that [89Zr]Zr-CPP2-FITC are predominantly taken up by Kupffer cells. However, [89Zr]Zr-CPP2-FITC could also be detected in hepatocytes. In the different parts of the aorta and in the blood, low values of [89Zr]Zr-CPP2-FITC were detectable, independent of the presence of calcification.CPP2 are cleared rapidly from the circulation by the liver and spleen in a rat model of CKD. In the liver, both Kupffer cells and hepatocytes contribute to CPP2 clearance.
RESET GIA implementation report
Creators: name: Heikkinen, Mervi
name: Ylitalo, Eveliina
name: Radchuk, Maryna
name: Paoletti, Marion
name: Junca, Ninon
name: Różalska, Aleksandra
name: Karachaliou, Eleni
name: Michali, Maria
name: Niebel, Viktoria
name: Freitas, Jorge Peixoto
name: Lopes, Alexandra
name: Magalhães, Sara Isabel
name: Matias, Marisa
name: FOREST, Maxime
Publisher: name: Zenodo
Year: 2024
Subjects: gender impact assessment
case study
follow-up report

description: This RESET GIA implementation report was prepared and accomplished for the Deliverable D7.3 of the RESET project (this project has received funding from the European Union's Horizon 2020 framework for Research and Innovationunder GA 101006560). The material of these deliverable reflect only the authors' view and the Commission is not responsible for any use that may be made of the information it contains.

This deliverable may be subject to final acceptance by the European Commission. 

The follow-up report (M36) aims to reflect and review the work in progress of the WP7. This follow-up report is both a compilation report, consisting in partners reports appended in Appendices II, and a further guidance for gender impact assessment aiming to assist RESET partners further in the institutionalisation and operationalisation of the GIA approach. Thus, the report consists of promising practices experimented by partners, and a general recommendation to pilot the most suitable ones of the various methods introduced in aim to mainstream the GIA approach effectively institutionally. Additionally, this follow-up report consists of translations of the initial GIA checklist in national languages. Finally, this deliverable paves the ground for the actions that will be taken in 2024 to disseminate the GIA approach further.
Additional file 1 of Cepharanthine and Curcumin inhibited mitochondrial apoptosis induced by PCV2
Creators: name: Xu, Yinlan
name: Zheng, Jiangang
name: Sun, Panpan
name: Guo, Jianhua
name: Zheng, Xiaozhong
name: Sun, Yaogui
name: Fan, Kuohai
name: Yin, Wei
name: Li, Hongquan
name: Sun, Na
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Cancer

description: Additional file 1. Original microscopic images of Cytotoxicity of 13 compounds on PK-15 cells.
Protein Quaternary Fold Recognition Using Conditional Graphical Models
Creators: name: Liu, Yan
name: Carbonell, Jaime G.
name: Vanathi  Gopalakrishnan
name: Weigele, Peter
Publisher: name: Carnegie Mellon University
Year: 2007
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: Protein fold recognition is a crucial step in inferring biological structure and function. This paper focuses on machine learning methods for predicting quaternary structural folds, which consist of multiple protein chains that form chemical bonds among side chains to reach a structurally stable domain. The complexity associated with modeling the quaternary fold poses major theoretical and computational challenges to current machine learning methods. We propose methods to address these challenges and show how (1) domain knowledge is encoded and utilized to characterize structural properties using segmentation conditional graphical models; and (2) model complexity is handled through efficient inference algorithms. Our model follows a discriminative approach so that any informative features, such as those representative of overlapping or long-range interactions, can be used conveniently. The model is applied to predict two important quaternary folds, the triple β-spirals and double-barrel trimers. Cross-family validation shows that our method outperforms other state-of-the art algorithms.
Pricing and hedging of derivatives based on non-tradable underlyings
Creators: name: Ankirchner, Stefan
name: Imkeller, Peter
name: Reis, Goncalo dos
Publisher: name: arXiv
Year: 2007
Subjects: subject: Pricing of Securities (q-fin.PR)
subject: Probability (math.PR)
subject: FOS: Economics and business
subject: FOS: Mathematics
subject: 91B28; 60H10; 60H07

description: This paper is concerned with the study of insurance related derivatives on financial markets that are based on non-tradable underlyings, but are correlated with tradable assets. We calculate exponential utility-based indifference prices, and corresponding derivative hedges. We use the fact that they can be represented in terms of solutions of forward-backward stochastic differential equations (FBSDE) with quadratic growth generators. We derive the Markov property of such FBSDE and generalize results on the differentiability relative to the initial value of their forward components. In this case the optimal hedge can be represented by the price gradient multiplied with the correlation coefficient. This way we obtain a generalization of the classical 'delta hedge' in complete markets.
title: ADCO, Septième cartulaire de Saint-Étienne de Dijon (1661-1665), Cart. 29 (G 134), 996 folios, f. 0177
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Septième cartulaire de Saint-Étienne de Dijon (1661-1665), Archives départementales de la Côte-d'Or, Cart. 29 (G 134), 996 folios, f. 0177, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Septième cartulaire de Saint-Étienne de Dijon (1661-1665), Archives départementales de la Côte-d'Or, Cart. 29 (G 134), 996 folios, f. 0177, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-project.eu/
description: Provenance: abbaye Saint-Étienne de Dijon
description: Provenance: http://www.wikidata.org/entity/Q15945019
Supersymmetric SYK Model with Global Symmetry
Creators: name: Narayan, Prithvi
name: Yoon, Junggi
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: In this paper, we introduce an $\mathcal{N}=1$ supersymmetric SYK model with $SO(q)$ global symmetry. We study the large $N$ expansion of the bi-local collective action of our model. At strong coupling limit, this model exhibits a super-reparametrization symmetry, and the $SO(q)$ global symmetry is enhanced to a $\widehat{SO}(q)$ local symmetry. The corresponding symmetry algebra is the semi-direct product of the super-Virasoro and the super-Kac-Moody algebras. These emergent symmetries are spontaneously and explicitly broken, which leads to a low energy effective action: super-Schwarzian action plus an action of a super-particle on the $SO(q)$ group manifold. We analyze the zero mode contributions to the chaotic behavior of four point functions in various $SO(q)$ channels. In singlet channel, we show that the out-of-time-ordered correlators related to bosonic bi-locals exhibit the saturation of the chaos bound as in the non-SUSY SYK model. On the other hand, we find that the ones with fermionic bi-locals in the singlet channel have ${π\overβ}$ Lyapunov exponent. In the anti-symmetric channel, we demonstrate that the out-of-time-ordered correlator related to a $SO(q)$ generator grows linearly in time. We also compute the non-zero mode contributions which give consistent corrections to the leading Lyapunov exponents from the zero modes.
description: 48 pages + Appendix, 1 figure and 2 tables
Galois theory for iterative connections and nonreduced Galois groups
Creators: name: Maurischat, Andreas
Publisher: name: arXiv
Year: 2007
Subjects: subject: Rings and Algebras (math.RA)
subject: General Mathematics (math.GM)
subject: FOS: Mathematics
subject: 13N99, 12H20, 12F15

description: This article presents a theory of modules with iterative connection. This theory is a generalisation of the theory of modules with connection in characteristic zero to modules over rings of arbitrary characteristic. We show that these modules with iterative connection (and also the modules with integrable iterative connection) form a Tannakian category, assuming some nice properties for the underlying ring, and we show how this generalises to modules over schemes. We also relate these notions to stratifications on modules, as introduced by A. Grothendieck in order to extend integrable (ordinary) connections to finite characteristic. Over smooth rings, we obtain an equivalence of stratifications and integrable iterative connections. Furthermore, over a regular ring in positive characteristic, we show that the category of modules with integrable iterative connection is also equivalent to the category of flat bundles as defined by D. Gieseker. In the second part of this article, we set up a Picard-Vessiot theory for fields of solutions. For such a Picard-Vessiot extension, we obtain a Galois correspondence, which takes into account even nonreduced closed subgroup schemes of the Galois group scheme on one hand and inseparable intermediate extensions of the Picard-Vessiot extension on the other hand. Finally, we compare our Galois theory with the Galois theory for purely inseparable field extensions.
description: 37 pages; v2->v3: more cross references to other papers are added in this version, the introduction is more detailed v3->v4: proof of Thm. 11.5iv) and of the following corollaries changed and hyperref added
Investigation of Allosteric Transitions Induced by Oligomerization and Mutations in Protein Molecules
Creators: name: Grudzien, Patrick Kamil
Publisher: name: University of Illinois at Chicago
Year: 2024

description: The concept of receptor oligomerization has been a hotly debated subjected amongst the GPCR field. Identification of receptor oligomers has been confirmed for a number of GPCR's but the exact mechanism and effects of this oligomerization is still not well understood. CXCR4 is a vital chemokine receptor that is involved in a plethora of bodily functions and disease models. The oligomerization of CXCR4 has been connected with the development of tolerance to FDA approved drug, AMD3100. By using novel engineered CXCR4 constructs, we have identified key functions of CXCR4 oligomerization. An initial discovery was confirmation of a ligand-independent receptor activation mechanism related to receptor oligomerization. We believe this ligand-independent mechanism is associated with CXCR4 structural changes, these changes are associated with a decrease in conformational dynamics of the receptor and orientation of ECL2, a key motif in ligand binding. Furthermore, a potentially novel mechanism of receptor post-translational modification has been observed, with increasing oligomerization changing the glycosylation patterns of CXCR4. Oligomerization of CXCR4 can be coupled with a number of effects on not just receptor structure but also changes key receptor functions.
Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression
Creators: name: Samarati, Pierangela
name: Sweeney, Latanya
Publisher: name: Carnegie Mellon University
Year: 1998
Subjects: subject: 80399 Computer Software not elsewhere classified
subject: FOS: Computer and information sciences

description: Today's globally networked society places great demand on the dissemination and sharing of person-specific data. Situations where aggregate statistical information was once the reporting norm now rely heavily on the transfer of microscopically detailed transaction and encounter information. This happens at a time when more and more historically public information is also electronically available. When these data are linked together, they provide an electronic shadow of a person or organization that is as identifying and personal as a fingerprint, even when the sources of the information contains no explicit identifiers, such as name and phone number. In order to protect the anonymity of individuals to whom released data refer, data holders often remove or encrypt explicit identifiers such as names, addresses and phone numbers. However, other distinctive data, which we term quasi-identifiers, often combine unquely and can be linked to publicly available information to re-identify individuals. In this paper we address the problem of releasing person-specific data while, at the same time, safeguarding the anonymity of individuals to whom the data refer. The approach is based on the definition of k-anonymity. A table provides k-anonymity if attempts to link explicitly identifying information to its contents ambiguiously map the information to at least k entities. We illustrate how k-anonymity can be provided by using generalization and suppression techniques. We introduce the concept of minimal generalization, which captures the property of the release process not to distort the data more than needed to achieve k-anonymity. We illustrate possible preference policies to choose among different minimal generalizations. Finally, we present an algorithm and experimental results when an implementation of the algorithm was used to produce releases of real medical information. We also report ont he quality of the released data by measuring precision and completeness of the results for different values of k.
Construction of nice nilpotent Lie groups
Creators: name: Conti, Diego
name: Rossi, Federico A.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 22E25 (Primary), 17B30, 53C30 (Secondary)

description: We illustrate an algorithm to classify nice nilpotent Lie algebras of dimension $n$ up to a suitable notion of equivalence; applying the algorithm, we obtain complete listings for $n\leq9$. On every nilpotent Lie algebra of dimension $\leq 7$, we determine the number of inequivalent nice bases, which can be $0$, $1$, or $2$. We show that any nilpotent Lie algebra of dimension $n$ has at most countably many inequivalent nice bases.
description: v3: Condition (N3) has been changed to exclude diagrams with arrows with the same label as the starting node, this will not affect the rest of the paper or the results, since this condition was implicitly assumed through the paper. Added a final remark 3.9. Presentation improved and bibliography updated. Article 28 Pages; Tables in ancillary file 137 pages
What constitutes elemental shape information for biological vision?
Creators: name: Greene, Ernest
name: Onwuzulike, Onyinye
Publisher: name: arXiv
Year: 2018
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Biological sciences

description: We do not yet understand how the vertebrate visual system provides for recognition of ob- jects. Countless experiments have been performed to examine the contribution of cues such as color, texture, and shadowing, but the most important cues are the con- tours of the outer boundary. Most objects that we can name can be identified as a silhouette, or equally well as a line drawing of the boundary. This has long been ap- preciated, so it is somewhat surprising that after more than a century of experimental research, we have not yet established how our visual system encodes this shape in- formation.
description: Five pages, three figures, 19 references