cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Critical probabilities and convergence time of Percolation Probabilistic Cellular Automata
Creators: name: Taggi, Lorenzo
Publisher: name: arXiv
Year: 2013
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 82C26, 68Q80, 60K35

description: This paper considers a class of probabilistic cellular automata undergoing a phase transition with an absorbing state. Denoting by ${\mathcal{U}}(x)$ the neighbourhood of site $x$, the transition probability is $T(η_x = 1 | η_{\mathcal{U}(x)}) = 0$ if $η_{\mathcal{U}(x)}= \mathbf{0}$ or $p$ otherwise, $\forall x \in \mathbb{Z}$. For any $\mathcal{U}$ there exists a non-trivial critical probability $p_c({\mathcal{U}})$ that separates a phase with an absorbing state from a fluctuating phase. This paper studies how the neighbourhood affects the value of $p_c({\mathcal{U}})$ and provides lower bounds for $p_c({\mathcal{U}})$. Furthermore, by using dynamic renormalization techniques, we prove that the expected convergence time of the processes on a finite space with periodic boundaries grows exponentially (resp. logarithmically) with the system size if $p > p_c$ (resp. $p
description: 50 pages, 19 Figures
Extending perfect matchings to Hamiltonian cycles in line graphs
Creators: name: Abreu, Marién
name: Gauci, John Baptist
name: Labbate, Domenico
name: Mazzuoccolo, Giuseppe
name: Zerafa, Jean Paul
Publisher: name: arXiv
Year: 2019
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 05C45, 05C70, 05C76

description: A graph admitting a perfect matching has the Perfect-Matching-Hamiltonian property (for short the PMH-property) if each of its perfect matchings can be extended to a Hamiltonian cycle. In this paper we establish some sufficient conditions for a graph $G$ in order to guarantee that its line graph $L(G)$ has the PMH-property. In particular, we prove that this happens when $G$ is (i) a Hamiltonian graph with maximum degree at most $3$, (ii) a complete graph, or (iii) an arbitrarily traceable graph. Further related questions and open problems are proposed along the paper.
description: 12 pages, 4 figures
A novel generative research dataset on preprints' role within the Covid-19 pandemic
Creators: name: Lemke, Steffen
name: Bittkowski, Meik
name: Boytchev, Hristio
name: Peters, Isabella
Publisher: name: Zenodo
Year: 2023
Subjects: preprints, Covid-19, open data, generative dataset, science journalism

description: Poster presented at the 19th International Conference on Scientometrics and Informetrics (ISSI 2023) in Bloomington, Indiana (USA), from July 2-5, 2023.
An Adaptive Sampling Approach for the Reduced Basis Method
Creators: name: Chellappa, Sridhar
name: Feng, Lihong
name: Benner, Peter
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: The offline time of the reduced basis method can be very long given a large training set of parameter samples. This usually happens when the system has more than two independent parameters. On the other hand, if the training set includes fewer parameter samples, the greedy algorithm might produce a reduced-order model with large errors at the samples outside of the training set. We introduce a method based on a surrogate error model to efficiently sample the parameter domain such that the training set is adaptively updated starting from a coarse set with a small number of parameter samples. A sharp a posteriori error estimator is evaluated on a coarse training set. Radial Basis Functions are used to interpolate the error estimator over a separate fine training set. Points from the fine training set are added into the coarse training set at every iteration based on a user defined criterion. In parallel, parameter samples satisfying a defined tolerance are adaptively removed from the coarse training set. The approach is shown to avoid high computational costs by using a small training set and to provide a reduced-order model with guaranteed accuracy over a fine training set. Further, we show numerical evidence that the reduced-order model meets the defined tolerance over an independently sampled test set from the parameter domain.
description: 18 pages, Accepted for publication to "Realization and Model Reduction of Dynamical Systems", a Festschrift to honor the 70th birthday of Prof. Athanasios Antoulas
On the Adams isomorphism for equivariant orthogonal spectra
Creators: name: Reich, Holger
name: Varisco, Marco
Publisher: name: arXiv
Year: 2014
Subjects: subject: Algebraic Topology (math.AT)
subject: FOS: Mathematics
subject: 55P42, 55P91

description: We give a natural construction and a direct proof of the Adams isomorphism for equivariant orthogonal spectra. More precisely, for any finite group G, any normal subgroup N of G, and any orthogonal G-spectrum X, we construct a natural map A of orthogonal G/N-spectra from the homotopy N-orbits of X to the derived N-fixed points of X, and we show that A is a stable weak equivalence if X is cofibrant and N-free. This recovers a theorem of Lewis, May, and Steinberger in the equivariant stable homotopy category, which in the case of suspension spectra was originally proved by Adams. We emphasize that our Adams map A is natural even before passing to the homotopy category. One of the tools we develop is a replacement-by-Omega-spectra construction with good functorial properties, which we believe is of independent interest.
description: Final version, to appear in Algebraic & Geometric Topology. 58 pages
Woman's Medical School building
Creators: name: Creator Not Identified
Publisher: name: Galter Health Science Library & Learning Center
Year: 2016

description: The Woman's Medical School, near Cook County Hospital, absorbed by Northwestern University in 1892 (now called Northwestern University, Feinberg School of Medicine). (Photograph and its description can be found on p. 120 of: Northwestern University Medical School 1859-1979 / Leslie B. Arey, Northwestern University: Evanston and Chicago, revised and extended edition).
Multi-LiDAR Localization and Mapping Pipeline for Urban Autonomous Driving
Creators: name: Sauerbeck, Florian
name: Kulmer, Dominik
name: Pielmeier, Markus
name: Leitenstern, Maximilian
name: Weiß, Christoph
name: Betz, Johannes
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Autonomous vehicles require accurate and robust localization and mapping algorithms to navigate safely and reliably in urban environments. We present a novel sensor fusion-based pipeline for offline mapping and online localization based on LiDAR sensors. The proposed approach leverages four LiDAR sensors. Mapping and localization algorithms are based on the KISS-ICP, enabling real-time performance and high accuracy. We introduce an approach to generate semantic maps for driving tasks such as path planning. The presented pipeline is integrated into the ROS 2 based Autoware software stack, providing a robust and flexible environment for autonomous driving applications. We show that our pipeline outperforms state-of-the-art approaches for a given research vehicle and real-world autonomous driving application.
description: Accepted and presented at IEEE Sensors Conference 2023
Analysis, modelling and prediction of deterministic and stochastic complex systems
Creators: name: Russo, Antonio
Publisher: name: Imperial College London
Year: 2021

description: The analysis of complex systems at nano- and micro-scales often requires their numerical simulation. Atomistic simulations, that rely on solving Newton's equation for each component of the system, despite being exact, are often too computationally expensive. In this work, firstly we analyse the properties of confined systems by extracting mesoscopic information directly from particles coordinate. Then, taking advantage of Mori-Zwanzig projector operator techniques and advanced data-analysis tools, we present a novel approach to parametrize non-Markovian coarse-graining models of molecular system. We focus on the parametrization of the memory terms in the stochastic Generalized Langevin Equation through a deep-learning approach. Moreover, in the framework of Dynamical Density Functional Theory (DDFT) we derive a continuum non-Markovian formulation, able to describe, given the proper free-energy, the physical properties of an atomistic system. Comparisons between molecular dynamics, fluctuating dynamical density functional theory and fluctuating hydrodynamics simulations validate our approach. Finally, we propose some numerical schemes for the simulation of DDFT with additional complexities, i.e. with stochastic terms and non-homogeneous non-constant diffusion.
Assessing the İmportance of Colour-Flavour Association in Determining the Brand Recall of the Product (Lays)
Creators: name: Hem Shah
name: Henish Kanani
Publisher: name: figshare
Year: 2020
Subjects: subject: 90804 Food Packaging, Preservation and Safety
subject: FOS: Other engineering and technologies
subject: 91010 Packaging, Storage and Transportation (excl. Food and Agricultural Products)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Studies suggest that packaging and its elements play a very important role in appealing the consumers. Among all the elements influencing the purchase decision of a low involvement product, colour attracts the consumer the most and differentiates from other products.Consumers notice the congruency between the packaging colour and the flavour in impulse purchase products. This research intends to measure the vitality of the packaging colour and its association with the flavour to recall the brand. A structured questionnaire was used to conduct this study. Cross modality between the colour and the flavour in the packaging of Lays was used in the questionnaire. The research also studied whether or not a bias of colour is present among the consumers for the new flavours that are not available in the market. The null hypotheses for both was rejected concluding that consumers do not tend to recall the interchanged colour flavour packaging and thus they fall back on their past memory. And also suggested that there exists a bias in consumers of colour for new flavours as well.
Perihelion precession and deflection of light in the general spherically symmetric spacetime
Creators: name: Hu, Ya-Peng
name: Zhang, Hongsheng
name: Hou, Jun-Peng
name: Tang, Liang-Zun
Publisher: name: arXiv
Year: 2013
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: In this paper, the perihelion precession and deflection of light have been investigated in the 4-dimensional general spherically symmetric spacetime, and the main equation is obtained. As the application of this main equation, the Reissner-Nordstorm-AdS solution and Clifton-Barrow solution in $f(R)$ gravity have been taken for the examples. We find that both the electric charge and $f(R)$ gravity can affect the perihelion precession and deflection of light, while the cosmological constant can only effect the perihelion precession. Moreover, we clarify a subtlety in the deflection of light in the solar system that the possible sun's electric charge is usually used to interpret the gap between the experiment data and theoretical result. However, after also considering the effect from the sun's same electric charge on the perihelion precession of Mercury, we can find that it is not the truth.
description: 13 pages, no figure, published version
For-all Sparse Recovery in Near-Optimal Time
Creators: name: Gilbert, Anna C.
name: Li, Yi
name: Porat, Ely
name: Strauss, Martin J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Data Structures and Algorithms (cs.DS)
subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences
subject: F.2.2; E.4

description: An approximate sparse recovery system in $\ell_1$ norm consists of parameters $k$, $ε$, $N$, an $m$-by-$N$ measurement $Φ$, and a recovery algorithm, $\mathcal{R}$. Given a vector, $\mathbf{x}$, the system approximates $x$ by $\widehat{\mathbf{x}} = \mathcal{R}(Φ\mathbf{x})$, which must satisfy $\|\widehat{\mathbf{x}}-\mathbf{x}\|_1 \leq (1+ε)\|\mathbf{x}-\mathbf{x}_k\|_1$. We consider the 'for all' model, in which a single matrix $Φ$, possibly 'constructed' non-explicitly using the probabilistic method, is used for all signals $\mathbf{x}$. The best existing sublinear algorithm by Porat and Strauss (SODA'12) uses $O(ε^{-3} k\log(N/k))$ measurements and runs in time $O(k^{1-α}N^α)$ for any constant $α> 0$. In this paper, we improve the number of measurements to $O(ε^{-2} k \log(N/k))$, matching the best existing upper bound (attained by super-linear algorithms), and the runtime to $O(k^{1+β}\textrm{poly}(\log N,1/ε))$, with a modest restriction that $ε\leq (\log k/\log N)^γ$, for any constants $β,γ> 0$. When $k\leq \log^c N$ for some $c>0$, the runtime is reduced to $O(k\textrm{poly}(N,1/ε))$. With no restrictions on $ε$, we have an approximation recovery system with $m = O(k/ε\log(N/k)((\log N/\log k)^γ+ 1/ε))$ measurements.
title: Smooth or with a Snap! Biomechanics of Trap Reopening in the Venus Flytrap (Dionaea muscipula)
Creators: name: Durak, Grażyna M.
name: Thierer, Rebecca
name: Sachse, Renate
name: Bischoff, Manfred
name: Speck, Thomas
name: Poppinga, Simon
Publisher: name: Wiley-VCH
Year: 2022

description: Fast snapping in the carnivorous Venus flytrap (Dionaea muscipula) involves trap lobe bending and abrupt curvature inversion (snap‐buckling), but how do these traps reopen? Here, the trap reopening mechanics in two different D. muscipula clones, producing normal‐sized (N traps, max. ≈3 cm in length) and large traps (L traps, max. ≈4.5 cm in length) are investigated. Time‐lapse experiments reveal that both N and L traps can reopen by smooth and continuous outward lobe bending, but only L traps can undergo smooth bending followed by a much faster snap‐through of the lobes. Additionally, L traps can reopen asynchronously, with one of the lobes moving before the other. This study challenges the current consensus on trap reopening, which describes it as a slow, smooth process driven by hydraulics and cell growth and/or expansion. Based on the results gained via three‐dimensional digital image correlation (3D‐DIC), morphological and mechanical investigations, the differences in trap reopening are proposed to stem from a combination of size and slenderness of individual traps. This study elucidates trap reopening processes in the (in)famous Dionaea snap traps – unique shape‐shifting structures of great interest for plant biomechanics, functional morphology, and applications in biomimetics, i.e., soft robotics.
Generation of ultrashort (~10ps) spontaneous emission pulses by quantum dots in a switched optical microcavity
Creators: name: Peinke, Emanuel
name: Sattler, Tobias
name: Torelly, Guilherme Monteiro
name: Bleuse, Joël
name: Claudon, Julien
name: Vos, Willem L.
name: Gérard, Jean-Michel
Publisher: name: arXiv
Year: 2019
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We report on the generation of few-ps long spontaneous emission pulses by quantum dots (QDs) in a switched optical microcavity. We use a pulsed optical injection of free charge carriers to induce a large frequency shift of the fundamental mode of a GaAs/AlAs micropillar. We track in real time by time-resolved photoluminescence its fundamental mode during its relaxation, using the emission of the QD ensemble as a broadband internal light source. Sub-ensembles of QDs emitting at a given frequency, interact transiently with the mode and emit an ultrashort spontaneous emission pulse into it. By playing with switching parameters and with the emission frequency of the QDs, selected by spectral filtering, pulse durations ranging from 300 ps down to 6 ps have been obtained. These pulses display a very small coherence length, which opens potential applications in the field of ultrafast imaging. The control of QD-mode coupling on ps-time scales establishes also cavity switching as a key resource for quantum photonics.
description: 11 pages, 8 figures; includes supplemental material
An Indirect Model-Dependent Probe of the Higgs Self-Coupling
Creators: name: McCullough, Matthew
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The Higgs associated production cross section at an $e^+ e^-$ collider is indirectly sensitive to the Higgs self-coupling, $h^3$, at next-to-leading order (NLO). Utilizing this, a new indirect method is proposed for constraining deviations in the self-coupling below the di-Higgs production threshold in certain models. Although this indirect constraint is model-dependent, making it valid only under specific assumptions, meaningful indirect constraints on the self-coupling may be realized. Specific realistic scenarios where the indirect constraint applies are discussed and in particular it is shown that in the well-motivated class of two Higgs-doublet models there exist regions of parameter space in which the NLO effects from a modified self-coupling dominate over the LO modifications, demonstrating a concrete scenario in which large modifications of the Higgs self-coupling may be indirectly constrained using the proposed method. Other models, such as strongly coupled scenarios, are also discussed. The indirect method would give valuable constraints on deviations in the Higgs self-coupling, and would be complementary to the direct measurements possible with di-Higgs production at other colliders, providing precious additional information in the effort to unravel the properties of the Higgs boson.
description: 8 pages, 4 figures. Eq.10 Typo corrected and rearranged to neater form. Note added with additional references. Plots and numerical results unchanged
Spectral Clustering of Attributed Multi-relational Graphs
Creators: name: Sadikaj, Ylli
name: Velaj, Yllka
name: Behzadi, Sahar
name: Plant, Claudia
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Graph clustering aims at discovering a natural grouping of the nodes such that similar nodes are assigned to a common cluster. Many different algorithms have been proposed in the literature: for simple graphs, for graphs with attributes associated to nodes, and for graphs where edges represent different types of relations among nodes. However, complex data in many domains can be represented as both attributed and multi-relational networks. In this paper, we propose SpectralMix, a joint dimensionality reduction technique for multi-relational graphs with categorical node attributes. SpectralMix integrates all information available from the attributes, the different types of relations, and the graph structure to enable a sound interpretation of the clustering results. Moreover, it generalizes existing techniques: it reduces to spectral embedding and clustering when only applied to a single graph and to homogeneity analysis when applied to categorical data. Experiments conducted on several real-world datasets enable us to detect dependencies between graph structure and categorical attributes, moreover, they exhibit the superiority of SpectralMix over existing methods.
A Neural Radiance Field-Based Architecture for Intelligent Multilayered View Synthesis
Creators: name: Dhinakaran, D.
name: Sankar, S. M. Udhaya
name: Elumalai, G.
name: kumar, N. Jagadish
Publisher: name: arXiv
Year: 2023
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: A mobile ad hoc network is made up of a number of wireless portable nodes that spontaneously come together en route for establish a transitory network with no need for any central management. A mobile ad hoc network (MANET) is made up of a sizable and reasonably dense community of mobile nodes that travel across any terrain and rely solely on wireless interfaces for communication, not on any well before centralized management. Furthermore, routing be supposed to offer a method for instantly delivering data across a network between any two nodes. Finding the best packet routing from across infrastructure is the major issue, though. The proposed protocol's major goal is to identify the least-expensive nominal capacity acquisition that assures the transportation of realistic transport that ensures its durability in the event of any node failure. This study suggests the Optimized Route Selection via Red Imported Fire Ants (RIFA) Strategy as a way to improve on-demand source routing systems. Predicting Route Failure and energy Utilization is used to pick the path during the routing phase. Proposed work assess the results of the comparisons based on performance parameters like as energy usage, packet delivery rate (PDR), and end-to-end (E2E) delay. The outcome demonstrates that the proposed strategy is preferable and increases network lifetime while lowering node energy consumption and typical E2E delay under the majority of network performance measures and factors.
The physics and applications of strongly coupled plasmas levitated in electrodynamic traps
Creators: name: Mihalcea, Bogdan M.
name: Filinov, Vladimir
name: Syrovatka, Roman
name: Vasilyak, Leonid
Publisher: name: arXiv
Year: 2019
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: Applied Physics (physics.app-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Charged (nano)particles confined in electrodynamic traps can evolve into strongly correlated Coulomb systems which are the subject of current investigation. Exciting physical phenomena associated to Coulomb systems are reported such as autowave generation, phase transitions, defect formation, system self-locking at the edges of a linear Paul trap, self-organization in layers, or pattern formation and scaling. We investigate the dynamics of ordered structures consisting of highly nonideal similarly charged nanoparticles with coupling parameter of the order $Γ= 10^8$. This approach enables us to study the interaction of nanoparticle structures in presence and in absence of the neutralizing plasma background, as well as to investigate various types of phenomena and physical forces experienced by these structures. We review applications of electrodynamic levitation for mass spectrometry including containment and study of single aerosols and nanoparticles, with an emphasis on state of the art experiments and techniques, while also focusing on future trends and directions of investigation. Late experimental data suggest that inelastic scattering can be successfully applied to the detection of biological particles such as pollen, bacteria, aerosols, traces of explosives or synthetic polymers. Brownian dynamics is used to characterize charged particle evolution in time and thus identify regions of stable trapping. An analytical model is used to explain the experimental results. Numerical simulations take into account the stochastic forces of random collisions with neutral particles, the viscosity of the gas medium, regular forces produced by the a.c. trapping voltage and the gravitational force. Laser plasma acceleration of charged particles is also discussed, with an emphasize on dielectric capillaries and Paul traps employed for target micropositioning.
title: Regression modelling using priors depending on Fisher information covariance kernels (I-priors).
Creators: name: Jamil, Haziq Md.
Publisher: name: London School of Economics and Political Science (LSE)
Year: 2018
Subjects: subject: HA Statistics

description: Regression analysis is undoubtedly an important tool to understand the relationship between one or more explanatory and independent variables of interest. In this thesis, we explore a novel methodology for fitting a wide range of parametric and nonparametric regression models, called the I-prior methodology (Bergsma, 2018).
 We assume that the regression function belongs to a reproducing kernel Hilbert or Kreĭn space of functions, and by doing so, allows us to utilise the convenient topologies of these vector spaces. This is important for the derivation of the Fisher information of the regression function, which might be infinite dimensional. Based on the principle of maximum entropy, an I-prior is an objective Gaussian process prior for the regression function with covariance function proportional to its Fisher information.
 Our work focusses on the statistical methodology and computational aspects of fitting I-priors models. We examine a likelihood-based approach (direct optimisation and EM algorithm) for fitting I-prior models with normally distributed errors. The culmination of this work is the R package iprior (Jamil, 2017) which has been made publicly available on CRAN. The normal I-prior methodology is subsequently extended to fit categorical response models, achieved by “squashing” the regression functions through a probit sigmoid function. Estimation of I-probit models, as we call it, proves challenging due to the intractable integral involved in computing the likelihood. We overcome this difficulty by way of variational approximations. Finally, we turn to a fully Bayesian approach of variable selection using I-priors for linear models to tackle multicollinearity.
 We illustrate the use of I-priors in various simulated and real-data examples. Our study advocates the I-prior methodology as being a simple, intuitive, and comparable alternative to similar leading state-of-the-art models.
Many-body calculations for periodic materials via quantum machine learning
Creators: name: Kanno, Shu
name: Tada, Tomofumi
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A state-of-the-art method that combines a quantum computational algorithm and machine learning, so-called quantum machine learning, can be a powerful approach for solving quantum many-body problems. However, the research scope in the field was mainly limited to organic molecules and simple lattice models. Here, we propose a workflow of quantum machine learning applications for periodic systems on the basis of an effective model construction from first principles. The band structures of the Hubbard model of graphene with the mean-field approximation are calculated as a benchmark, and the calculated eigenvalues show good agreement with the exact diagonalization results within a few meV by employing the transfer learning technique in quantum machine learning. The results show that the present computational scheme has the potential to solve many-body problems quickly and correctly for periodic systems using a quantum computer.
description: 20 pages, 4 figures
Solving the inverse cosmological calibration problem of gamma-ray bursts
Creators: name: Shirokov, S. I.
name: Gainutdinov, R. I.
name: Lovyagin, N. Yu.
name: Gorokhov, V. L.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences
subject: 85-05

description: We have received a new physical characteristics fitting based on actual observational data from the Swift mission's long-duration gamma-ray bursts (LGRBs). We considered such characteristics as the Amati parameters for linear correlation ($E_\text{iso}-E_{\text{p},i}$) and the $k$-correction for gravitational lensing and Malmquist bias (GLMB) effect. We used the Pantheon SN Ia catalogue and the standard $Λ$CDM model with a fixed Hubble constant of $H_0=70$ km/s/Mpc as the baseline for the Hubble function $μ(z)$. In our paper, we formulated the inverse cosmological calibration problem (ICCP) in the non-parametric statistics framework. The ICCP involves fitting non-observable physical characteristics while assuming a fixed cosmological model. To solve this problem, we developed a new method that is resistant to non-Gaussian processes. This method is based on error propagation through the Monte Carlo method and the Theil-Sen method for linear regression estimate. We have demonstrated the stability and robustness of this assessment method. The parameter estimates are as follows: $a=0.92^{+0.12}_{-0.12}$, $b=50.32^{+0.33}_{-0.32}$ without considering the GLMB effect, and $a=0.63^{+0.13}_{-0.14}$, $b=50.12^{+0.33}_{-0.31}$, and $k=1.98^{+0.25}_{-0.24}$ with the effect included. The proposed method can be applied to any other calibration sample of known standard candles, a calibrated sample of LGRBs, and the Hubble function $μ(z)$. In the future, the ICCP idea can be used as an alternative cosmological test for estimating cosmological parameters, including the GLMB effect, or even for the selection of models, providing new information about the Universe. This can be done by analysing the residual values of observational data within the Bayesian statistics paradigm.
description: 19 pages, 6 figures, 6 tables, MNRAS accepted
title: Job satisfaction: An explorative study on work characteristics changes of employees in Intralogistics 4.0
Creators: name: Winkelhaus, Sven
name: Grosse, Eric H.
name: Glock, Christoph H.
Publisher: name: Wiley
Year: 2022

description: The increasing trend toward digitalization in logistics poses a significant managerial challenge, particularly by fundamentally changing the traditional, manual workplaces in intralogistics. Although intralogistics processes have, in some cases, already been automated or are supported by smart technologies, humans remain an inevitable part of future intralogistics but with changing work characteristics. This study aims to examine the influences of the transition toward Intralogistics 4.0 on work characteristics of intralogistics employees. First, a systematic literature review on work characteristics and job satisfaction in a broader Logistics 4.0 context was conducted. Thereafter, a qualitative, explorative methodology was employed to examine the perception of work characteristics that impact job outcomes such as job satisfaction, motivation, and performance at different Intralogistics 4.0 maturity levels. The results of semi‐structured interviews conducted across seven companies demonstrated the significant, heterogeneous changes of work characteristics related to the type of technology applied in Intralogistics 4.0. Our findings indicate that the development toward Intralogistics 4.0‐implemented workplaces does not have a simple or predefined impact on humans; instead, the individual design is relevant and can improve the workplaces with more opportunities for satisfying and motivating jobs.
Loewner chains and evolution families on parallel slit half-planes
Creators: name: Murayama, Takuya
Publisher: name: arXiv
Year: 2020
Subjects: subject: Complex Variables (math.CV)
subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60H30 (Primary) 30C20, 60J70, 60J67 (Secondary)

description: In this paper, we define and study Loewner chains and evolution families on finitely multiply-connected domains in the complex plane. These chains and families consist of conformal mappings on parallel slit half-planes and have one and two "time" parameters, respectively. By analogy with the case of simply connected domains, we develop a general theory of Loewner chains and evolution families on multiply connected domains and, in particular, prove that they obey the chordal Komatu-Loewner differential equations driven by measure-valued processes. Our method involves Brownian motion with darning, as do some recent studies.
description: 64 pages; (v3)Theorems 2.2 and 2.5 are improved, and Appendix D is added for the explanation on weak and vague convergences of measures (v4)minor modification (v5)typos are collected in the proof of Proposition C.6; to appear in J. Math. Anal. Appl
A cavity-mediated quantum CPHASE gate between NV spin qubits in diamond
Creators: name: Burkard, Guido
name: Shkolnikov, V. O.
name: Awschalom, D. D.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: While long spin coherence times and efficient single-qubit quantum control have been implemented successfully in nitrogen-vacancy (NV) centers in diamond, the controlled coupling of remote NV spin qubits remains challenging. Here, we propose and analyze a controlled-phase (CPHASE) gate for the spins of two NV centers embedded in a common optical cavity and driven by two off-resonant lasers. In combination with previously demonstrated single-qubit gates, CPHASE allows for arbitrary quantum computations. The coupling of the NV spin to the cavity mode is based upon Raman transitions via the NV excited states and can be controlled with the laser intensities and relative phase. We find characteristic laser frequencies at which the scattering amplitude of a laser photon into the cavity mode is strongly dependent on the NV center spin. A scattered photon can be reabsorbed by another selectively driven NV center and generate a conditional phase (CPHASE) gate. Gate times around 200 ns are within reach, nearly three orders of magnitude shorter than typical NV spin coherence times of around 10 microseconds. The separation between the two interacting NV centers is only limited by the extension of the cavity.
description: 8 pages, 3 figures. v2: substantial revision and extension
Nonsmooth and level-resolved dynamics illustrated with the tight binding model
Creators: name: Zhang, J. M.
name: Haque, Masudul
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We point out that in the first order time-dependent perturbation theory, the transition probability may behave nonsmoothly in time and have kinks periodically. Moreover, the detailed temporal evolution can be sensitive to the exact locations of the eigenvalues in the continuum spectrum, in contrast to coarse-graining ideas. Underlying this nonsmooth and level-resolved dynamics is a simple equality about the sinc function $\sinc x \equiv \sin x / x$. These physical effects appear in many systems with approximately equally spaced spectra, and is also robust for larger-amplitude coupling beyond the domain of perturbation theory. We use a one-dimensional periodically driven tight-binding model to illustrate these effects, both within and outside the perturbative regime.
description: Link with the Paley-Wiener theorem and another reference is added; any comment is welcome and will be greatly appreciated!
Analysis of Hospital-Acquired Urinary Tract Infections at an Acute Inpatient Rehabilitation Hospital
Creators: name: Quillin, Sarah Jane
Publisher: name: Galter Health Science Library & Learning Center
Year: 2019

description: Urinary tract infections (UTIs) are a leading cause of preventable, hospital-acquired infections (HAIs) in acute care hospitals in the United States and a major public health issue. This analysis aims to characterize the urinary tract infections (UTI) that occurred in all patients of Shirley Ryan AbilityLab (SRAlab), an acute inpatient rehabilitation hospital in Chicago, with the goal of identifying future intervention targets to reduce UTI incidence and reduce the phenomenon of urine overculturing. The results of this analysis will be used to design UTI-prevention interventions directed toward caregivers and patients, and strategies to prevent over-culturing and maximize resources, improving patient outcomes.
title: Malignant transformation of Polyostotic Fibrous Dysplasia
Creators: name: NAGARAJ, HARISH
Publisher: name: EURORAD
Year: 2022
Subjects: subject: Musculoskeletal system
subject: Musculoskeletal bone
subject: Oncology
subject: CT
subject: Biopsy
subject: Clinical Cases

description: Clinical History: A 72-year-old man with a history of right lower limb deformity since the age of six years presented to the department due to increasing pelvic pains over the past two weeks. Physical examination revealed a shortened right lower limb with palpable right pubic mass upon which he was sent for imaging.

description: 72 years, male
SortNet: Learning To Rank By a Neural-Based Sorting Algorithm
Creators: name: Rigutini, Leonardo
name: Papini, Tiziano
name: Maggini, Marco
name: Scarselli, Franco
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Computation and Language (cs.CL)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: The problem of relevance ranking consists of sorting a set of objects with respect to a given criterion. Since users may prefer different relevance criteria, the ranking algorithms should be adaptable to the user needs. Two main approaches exist in literature for the task of learning to rank: 1) a score function, learned by examples, which evaluates the properties of each object yielding an absolute relevance value that can be used to order the objects or 2) a pairwise approach, where a "preference function" is learned using pairs of objects to define which one has to be ranked first. In this paper, we present SortNet, an adaptive ranking algorithm which orders objects using a neural network as a comparator. The neural network training set provides examples of the desired ordering between pairs of items and it is constructed by an iterative procedure which, at each iteration, adds the most informative training examples. Moreover, the comparator adopts a connectionist architecture that is particularly suited for implementing a preference function. We also prove that such an architecture has the universal approximation property and can implement a wide class of functions. Finally, the proposed algorithm is evaluated on the LETOR dataset showing promising performances in comparison with other state of the art algorithms.
description: The 31st Annual International ACM SIGIR Conference (SIGIR 2008) - Workshop: Learning to Rank for Information Retrieval (LR4IR), Singapore, July 20-24 2008 - ISBN:978-16-05581-64-4
Change-point detection based on weighted two-sample U-statistics
Creators: name: Dehling, Herold
name: Vuk, Kata
name: Wendler, Martin
Publisher: name: arXiv
Year: 2020
Subjects: subject: Statistics Theory (math.ST)
subject: Probability (math.PR)
subject: FOS: Mathematics

description: We investigate the large-sample behavior of change-point tests based on weighted two-sample U-statistics, in the case of short-range dependent data. Under some mild mixing conditions, we establish convergence of the test statistic to an extreme value distribution. A simulation study shows that the weighted tests are superior to the non-weighted versions when the change-point occurs near the boundary of the time interval, while they loose power in the center.
title: Monitoring electrode/electrolyte interfaces of Li‐ion batteries under working conditions: A surface‐enhanced Raman spectroscopic study on LiCoO₂ composite cathodes
Creators: name: Heber, Marcel
name: Hess, Christian
Publisher: name: John Wiley & Sons
Year: 2022

description: Lithium‐ion batteries are commonly used for electrical energy storage in portable devices and are promising systems for large‐scale energy storage. However, their application is still limited due to electrode degradation and stability issues. To enhance the fundamental understanding of electrode degradation, we report on the Raman spectroscopic characterization of LiCoO₂ cathode materials of working Li‐ion batteries. To facilitate the spectroscopic analysis of the solid electrolyte interface (SEI), we apply in situ surface‐enhanced Raman spectroscopy under battery working conditions by using Au nanoparticles coated with a thin SiO₂ layer (Au@SiO₂). We observe a surface‐enhanced Raman signal of Li₂CO₃ at 1090 cm⁻¹ during electrochemical cycling as an intermediate. Its formation/decomposition highlights the role of Li₂CO₃ as a component of the SEI on LiCoO₂ composite cathodes. Our results demonstrate the potential of Raman spectroscopy to monitor electrode/electrolyte interfaces of lithium‐ion batteries under working conditions thus allowing relations between electrochemical performance and structural changes to be established.
Semiclassical calculation of the imaginary part of the ion-ion optical potential
Creators: name: Blin, A.
name: Brack, Matthias
name: Hiller, B.
name: Werner, E.
Publisher: name: Universität Regensburg
Year: 1987
Subjects: subject: 530 Physik

description: We use Feshbach's p r o j e c t i o n formalism t o w r i t e an equation f o r the wave f u n c t i o n t h a t describes the r e l a t i v e distance between the centers o f mass o f the two ions. We assume t h a t the Q-space can be truncated a t the e x c i t a t i o n o f l p - l h i n e i t h e r one or the other ion, leaving one o f them i n i t s ground s t a t e . I n the propagator o f the e f f e c t i v e p o t e n t i a l , the two-body i n t e r a c t i o n i s replaced by the ioni o n mean f i e l d VMF. The m a t r i x elements o f the elementary i n t e r a c t i o n are o f f i n i t e range, represented by an e f f e c t i v e Wigner force. The t o t a l many-body wave f u n c t i o n i s antisymmetrized only i n the p a r t i a l i n t r i n s i c wave f u n c t i o n o f each i o n . C a l c u l a t i o n s are done i n the Thomas Fermi approximation. The Coulomb energy i s not considered.
An exception proves the rule: Lena Artz (1891-1976) and her legacy of botanical specimens.
Creators: name: Weeks, Andrea
Publisher: name: Zenodo
Year: 2023
Subjects: herbaria, Bionomia, hidden figures, SISRIS

description: Slides presented in Association for Southeastern Biologists (ASB) Symposium: Supporting inclusive and sustainable research infrastructure for systematics (SISRIS) held on 25 March 2023 in Winston-Salem, North Carolina. Work to produce this talk and accompanying materials and workshops all funded by NSF grants #2247631 #2247632 and the support of George Mason University. The talk focuses on the biography of Lena Artz, one of many thousands of individuals who documented the plant biodiversity of the southeastern United States in the mid-20th century. Her accomplishments as a pioneering explorer of the Massanutten Mountains, which were uncovered only because of ongoing herbarium digitization in Virginia, is a case study of how interrogating the legacies of poorly known collectors can advance botanical research in the present day. The results provide insight on why she, like many other collectors whose collections inhabit museums and databases, become forgotten. The results also reveal the time-value of her collections for contemporary studies of rare, threatened and endangered plant species, for capturing the biodiversity of landscapes long since destroyed, and for informing studies of global climate change. I argue that assigning universal unique ID’s to historical collectors, such as those used by Bionomia, and appending these to their digitized specimen records is a tractable challenge for the herbarium community to meet that not only will help us achieve the vision of the extended specimen concept but will make collections-based research more inclusive in the 21st century.
description: This work funded and therefore made possible by the US National Science Foundation under grants 2247631 and 2247632.
Parametric Lattice Boltzmann Method
Creators: name: Shim, Jae Wan
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The discretized equilibrium distributions of the lattice Boltzmann method are presented by using the coefficients of the Lagrange interpolating polynomials that pass through the points related to discrete velocities and using moments of the Maxwell-Boltzmann distribution. The ranges of flow velocity and temperature providing positive valued distributions vary with regulating discrete velocities as parameters. New isothermal and thermal compressible models are proposed for flows of the level of the isothermal and thermal compressible Navier-Stokes equations. Thermal compressible shock tube flows are simulated by only five on-lattice discrete velocities. Two-dimensional isothermal and thermal vortices provoked by the Kelvin-Helmholtz instability are simulated by the parametric models.
description: 26 pages, 11 figures, and 3 tables
Schätzung der Zahl der HIV-Neuinfektionen im Jahr 2019 und der Gesamtzahl von Menschen, die Ende 2019 mit HIV in Deutschland leben
Creators: name: An Der Heiden, Matthias
name: Marcus, Ulrich
name: Kollan, Christian
name: Schmidt, Daniel
name: Gunsenheimer-Bartmeyer, Barbara
name: Bremer, Viviane
Publisher: name: Robert Koch-Institut
Year: 2020
Subjects: subject: HIV/AIDS
subject: Präexpositionsprophylaxe
subject: Risikogruppen
subject: antiretrovirale Therapie
subject: Modellierung
subject: 610 Medizin und Gesundheit

description: Die Zahl der HIV-Neuinfektionen in Deutschland und bei Menschen deutscher Herkunft, die sich im Ausland mit HIV infiziert haben, wird 2019 auf 2.600 geschätzt und steigt damit im Vergleich zum Vorjahr leicht an. Die Zahl der Menschen mit HIV, deren Infektion noch nicht diagnostiziert wurde, liegt seit 2008 relativ konstant bei etwa 10.800. Wie das Epidemiologische Bulletin 48/2020 berichtet ist dagegen der Anteil der Personen, die mit einer HIV-Infektion diagnostiziert wurden und eine antiretrovirale Therapie erhalten, von etwa 80% im Jahr 2006 auf 97% im Jahr 2019 angestiegen. Der Anteil erfolgreicher Therapien erhöhte sich nochmals leicht und liegt jetzt bei etwa 96%.
Configuration and Self-averaging in disordered systems
Creators: name: Chowdhury, Suman
name: Sadhukhan, Banasree
name: Nafday, Dhani
name: Baidya, Santu
name: Jana, Debnarayan
name: Saha-Dasgupta, Tanusri
name: Mookerjee, Abhijit
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The main aim of this work is to present two different methodologies for configuration averaging in disordered systems. The Recursion method is suitable for the calculation of spatial or self-averaging, while the Augmented space formalism averages over different possible configurations of the system. We have applied these techniques to a simple example and compared their results. Based on these, we have reexamined the concept of spatial ergodicity in disordered systems. The specific aspect, we have focused on, is the question "Why does an experimentalist often obtain the averaged result on a single sample ?" We have found that in our example of disordered graphene, the two lead to the same result within the error limits of the two methods.
description: 21 pages, 4 figures in Indian J Phys (2015)