cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Formation of Solitonic Bound State via Light-Matter Interaction
Creators: name: Das, Priyam
name: Khan, Ayan
name: Pathak, Anirban
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Exchange of energy by means of light-matter interaction provides a new dimension to various nonlinear dynamical systems. Here, the effects of light-matter interaction are investigated for a situation, where two counter-propagating, orthogonally polarized laser pulses are incident on the atomic condensate. It's observed that a localized laser pulse profile can induce localized modes in Bose-Einstein condensate. A stability analysis performed using Vakhitov-Kolokolov-like criterion has established that these localized modes are stable, when the atom-atom interaction is repulsive. The cooperative effects of light-matter interactions and atom-atom interactions on the Lieb-mode have been studied in the stable region through atomic dispersion, revealing the signature of bound state formation when the optical potential is Pöschl-Teller type. The energy diagram also indicates a continuous transfer of energy from the laser pulses to the atoms as the light-matter interaction changes its sign.
description: To appear in Eur. Phys. J. D
An Outer Membrane Vesicle-Based Permeation Assay (OMPA) for Assessing Bacterial Bioavailability
Creators: name: Richter, Robert
name: Kamal, Mohamed A.M.
name: Koch, Marcus
name: Niebuur, Bart-Jan
name: Huber, Anna-Lena
name: Goes, Adriely
name: Volz, Carsten
name: Vergalli, Julia
name: Kraus, Tobias
name: Müller, Rolf
name: Schneider-Daum, Nicole
name: Fuhrmann, Gregor
name: Pagès, Jean-Marie
name: Lehr, Claus-Michael
Publisher: name: Weinheim : Wiley-VCH
Year: 2021
Subjects: subject: antimicrobial resistance
subject: bacterial bioavailability
subject: drug optimization
subject: extracellular vesicles
subject: in vitro studies
subject: membrane permeation models
subject: 540
subject: 610

description: When searching for new antibiotics against Gram-negative bacterial infections, a better understanding of the permeability across the cell envelope and tools to discriminate high from low bacterial bioavailability compounds are urgently needed. Inspired by the phospholipid vesicle-based permeation assay (PVPA), which is designed to predict non-facilitated permeation across phospholipid membranes, outer membrane vesicles (OMVs) of Escherichia coli either enriched or deficient of porins are employed to coat filter supports for predicting drug uptake across the complex cell envelope. OMVs and the obtained in vitro model are structurally and functionally characterized using cryo-TEM, SEM, CLSM, SAXS, and light scattering techniques. In vitro permeability, obtained from the membrane model for a set of nine antibiotics, correlates with reported in bacterio accumulation data and allows to discriminate high from low accumulating antibiotics. In contrast, the correlation of the same data set generated by liposome-based comparator membranes is poor. This better correlation of the OMV-derived membranes points to the importance of hydrophilic membrane components, such as lipopolysaccharides and porins, since those features are lacking in liposomal comparator membranes. This approach can offer in the future a high throughput screening tool with high predictive capacity or can help to identify compound- and bacteria-specific passive uptake pathways.
Optimization of Circuits for IBM's five-qubit Quantum Computers
Creators: name: Dueck, Gerhard W.
name: Pathak, Anirban
name: Rahman, Md Mazder
name: Shukla, Abhishek
name: Banerjee, Anindita
Publisher: name: arXiv
Year: 2018
Subjects: subject: Emerging Technologies (cs.ET)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: IBM has made several quantum computers available to researchers around the world via cloud services. Two architectures with five qubits, one with 16, and one with 20 qubits are available to run experiments. The IBM architectures implement gates from the Clifford+T gate library. However, each architecture only implements a subset of the possible CNOT gates. In this paper, we show how Clifford+T circuits can efficiently be mapped into the two IBM quantum computers with 5 qubits. We further present an algorithm and a set of circuit identities that may be used to optimize the Clifford+T circuits in terms of gate count and number of levels. It is further shown that the optimized circuits can considerably reduce the gate count and number of levels and thus produce results with better fidelity.
Quantum Zeno effect and nonclassicality in a PT symmetric system of coupled cavities
Creators: name: Naikoo, Javid
name: Thapliyal, Kishore
name: Banerjee, Subhashish
name: Pathak, Anirban
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: The interplay between the nonclassical features and the parity-time (PT) symmetry (or its breaking) is studied here by considering a PT symmetric system consisting of two cavities with gain and loss. The conditions for PT invariance is obtained for this system. The behavior of the average photon number corresponding to the gain and loss modes for different initial states (e.g., vacuum, NOON, coherent, and thermal states) has also been obtained. With the help of the number operators, quantum Zeno and anti-Zeno effects are studied, and the observed behavior is compared in PT symmetric (PTS) and PT symmetry broken (PTSB) regimes. It has been observed that the relative phase of the input coherent fields plays a key role in the occurrence of these effects. Further, some nonclassicality features are witnessed using criteria based on the number operator(s). Specifically, intermodal antibunching, sum and difference squeezing, are investigated for specific input states. It is found that the various nonclassical features, including the observed quantum Zeno and anti-Zeno effects, are suppressed when one goes from PTS to PTSB regime. In other words, the dominance of the loss/gain rate in the field modes over the coupling strength between them diminishes the nonclassical features of the system.
description: The interplay between the nonclassical features and the parity-time (PT) symmetry (or its breaking) is studied here by considering a PT symmetric system consisting of two coupled cavities with gain and loss. Specific focus is given on Zeno and anti-Zeno effect
An Immersed Interface Method for Discrete Surfaces
Creators: name: Kolahdouz, Ebrahim M.
name: Bhalla, Amneet Pal Singh
name: Craven, Brent A.
name: Griffith, Boyce E.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Numerical Analysis (math.NA)
subject: Computational Physics (physics.comp-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Fluid-structure systems occur in a range of scientific and engineering applications. The immersed boundary(IB) method is a widely recognized and effective modeling paradigm for simulating fluid-structure interaction(FSI) in such systems, but a difficulty of the IB formulation is that the pressure and viscous stress are generally discontinuous at the interface. The conventional IB method regularizes these discontinuities, which typically yields low-order accuracy at these interfaces. The immersed interface method(IIM) is an IB-like approach to FSI that sharply imposes stress jump conditions, enabling higher-order accuracy, but prior applications of the IIM have been largely restricted to methods that rely on smooth representations of the interface geometry. This paper introduces an IIM that uses only a C0 representation of the interface,such as those provided by standard nodal Lagrangian FE methods. Verification examples for models with prescribed motion demonstrate that the method sharply resolves stress discontinuities along the IB while avoiding the need for analytic information of the interface geometry. We demonstrate that only the lowest-order jump conditions for the pressure and velocity gradient are required to realize global 2nd-order accuracy. Specifically,we show 2nd-order global convergence rate along with nearly 2nd-order local convergence in the Eulerian velocity, and between 1st-and 2nd-order global convergence rates along with 1st-order local convergence for the Eulerian pressure. We also show 2nd-order local convergence in the interfacial displacement and velocity along with 1st-order local convergence in the fluid traction. As a demonstration of the method's ability to tackle complex geometries,this approach is also used to simulate flow in an anatomical model of the inferior vena cava.
description: - Added a non-axisymmetric example (flow within eccentric rotating cylinder in Sec. 4.3) - Added a more in-depth analysis and comparison with a body-fitted approach for the application in Sec. 4.7
Limit shapes for the asymmetric five vertex model
Creators: name: de Gier, Jan
name: Kenyon, Richard
name: Watson, Samuel S.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 82B20

description: We compute the free energy and surface tension function for the five-vertex model, a model of non-intersecting monotone lattice paths on the grid in which each corner gets a positive weight. We give a variational principle for limit shapes in this setting, and show that the resulting Euler-Lagrange equation can be integrated, giving explicit limit shapes parameterized by analytic functions.
description: 37 pages, 21 figures
Zero-Offset VSP Monitoring of CO2Storage: Impedance Inversion and Wedge Modelling at the Ketzin Pilot Site
Creators: name: Götz, Julia
name: Lüth, Stefan
name: Krawczyk, Charlotte M.
name: Cosma, Calin
Publisher: name: New York, NY : Hindawi
Year: 2014
Subjects: subject: Ketzin
subject: Germany
subject: CO2 storage
subject: brine saturated sandstone aquifer
subject: 2D seismic-elastic modelling
subject: CO2 injection
subject: 550

description: At the CO2 storage pilot site near the town of Ketzin (35 km west of Berlin, Germany) the sandstone reservoir at 630 m–650 m depth is thin and heterogeneous. The time-lapse analysis of zero-offset VSP measurements shows that CO2-induced amplitude changes can be observed on near-well corridor stacks. Further, we investigate whether CO2-induced amplitude changes in the monitoring data can be used to derive geometrical and petrophysical parameters governing the migration of CO2 within a brine saturated sandstone aquifer. 2D seismic-elastic modelling is done to test the processing workflow and to perform a wedge modelling study for estimation of the vertical expansion of the CO2 plume. When using the NRMS error as a measure for the similarity between the modelled and recorded repeat traces, the best match is achieved for a plume thickness of 6-7 m within the reservoir sandstone of 8 m thickness. With band limited impedance inversion a velocity reduction at the top of the reservoir of 30%, influenced by casing reverberations as well as CO2 injection, is found. The relation of seismic amplitude to CO2 saturated layer thickness and CO2-induced changes in P-wave velocities are important parameters for the quantification of the injected CO2 volume.
Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information
Creators: name: Larsen, Eric
name: Lachapelle, Sébastien
name: Bengio, Yoshua
name: Frejinger, Emma
name: Lacoste-Julien, Simon
name: Lodi, Andrea
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: This paper offers a methodological contribution at the intersection of machine learning and operations research. Namely, we propose a methodology to quickly predict tactical solutions to a given operational problem. In this context, the tactical solution is less detailed than the operational one but it has to be computed in very short time and under imperfect information. The problem is of importance in various applications where tactical and operational planning problems are interrelated and information about the operational problem is revealed over time. This is for instance the case in certain capacity planning and demand management systems. We formulate the problem as a two-stage optimal prediction stochastic program whose solution we predict with a supervised machine learning algorithm. The training data set consists of a large number of deterministic (second stage) problems generated by controlled probabilistic sampling. The labels are computed based on solutions to the deterministic problems (solved independently and offline) employing appropriate aggregation and subselection methods to address uncertainty. Results on our motivating application in load planning for rail transportation show that deep learning algorithms produce highly accurate predictions in very short computing time (milliseconds or less). The prediction accuracy is comparable to solutions computed by sample average approximation of the stochastic program.
description: Same as arXiv:1807.11876, added by mistake
Polyharmonic functions for finite graphs and Markov chains
Creators: name: Hirschler, Thomas
name: Woess, Wolfgang
Publisher: name: arXiv
Year: 2019
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 31C20, 60G50

description: On a finite graph with a chosen partition of the vertex set into interior and boundary vertices, a $λ$-polyharmonic function is a complex function $f$ on the vertex set which satisfies $(λ\cdot I - P)^n f(x) = 0$ at each interior vertex. Here, $P$ may be the normalised adjaceny matrix, but more generally, we consider the transition matrix $P$ of an arbitrary Markov chain to which the (oriented) graph structure is adapted. After describing these `global' polyharmonic functions, we turn to solving the Riquier problem, where $n$ boundary functions are preassigned and a corresponding `tower' of $n$ successive Dirichlet type problems are solved. The resulting unique solution will be polyharmonic only at those points which have distance at least $n$ from the boundary. Finally, we compare these results with those concerning infinite trees with the end boundary, as studied by Cohen, Colonnna, Gowrisankaran and Singman, and more recently, by Picardello and Woess.
Higgs domain walls in the thermal background
Creators: name: Krajewski, Tomasz
name: Lalak, Zygmunt
name: Lewicki, Marek
name: Olszewski, Paweł
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Most cosmological models predict that the universe was hot and dense at the early stages of it's evolution. In this paper we analyse the influence of the thermal bath of Standard Model particles on the dynamics of cosmological Higgs domain walls. This manuscript poses an~extension of our earlier work in which we investigated the evolution of networks of Higgs domain walls neglecting the impact of temperature variation. Using the thermally corrected effective potential of Standard Model we have found that both the position of the local maximum $h_{max}$ separating minima and the width of domain walls strongly depend on temperature $T$. For temperatures higher than $10^{10}\; \textrm{GeV}$ they respectively increase proportionally and decrease inverse proportionally to the increasing temperature. Thus, the energy scale of the problem follows the value of temperature. Our numerical lattice simulations based on the PRS algorithm reveal that Higgs domain walls in the presence of the background thermal bath are highly unstable and decay shortly after formation. Moreover we have found that the fraction of horizons produced by inflation in which Higgs field expectation value is higher then $h_{max}$ needs to be very low in order for the evolution of the~network of the domain walls to end in the electroweak vacuum. This means that Higgs domain walls necessarily were very rare objects and their average energy density was very small. As a result, the domain walls can not significantly effect cosmological observables.
Boundary behaviour of $λ$-polyharmonic functions on regular trees
Creators: name: Sava-Huss, Ecaterina
name: Woess, Wolfgang
Publisher: name: arXiv
Year: 2019
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 31C20, 05C05, 60G50

description: This paper studies the boundary behaviour of $λ$-polyharmonic functions for the simple random walk operator on a regular tree, where $λ$ is complex and $|λ|> ρ$, the $\ell^2$-spectral radius of the random walk. In particular, subject to normalisation by spherical, resp. polyspherical functions, Dirichlet and Riquier problems at infinity are solved and a non-tangential Fatou theorem is proved.
Interplay between nonclassicality and $\mathcal{PT}$ symmetry in an effective two level system with open system effects
Creators: name: Naikoo, Javid
name: Banerjee, Subhashish
name: Pathak, Anirban
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A three level atom in $Λ$ configuration is reduced to an effective two level system, under appropriate conditions, and its $\mathcal{PT}$ symmetric properties are investigated. This effective qubit system when subjected to a beam-splitter type of interaction, it provides the scope of directly (indirectly) probing the nonclassical properties of the output (input) state. Here, we study nonclassical properties of the output state by using some well known measures of nonclassical correlations like the measurement induced disturbance, concurrence and negativity. The nonclassical features are found to enhance in the $\mathcal{PT}$ symmetric (PTS) phase compared to the $\mathcal{PT}$ symmetry broken (PTSB) phase. Further, the output ports of the beam-splitter are subjected to different quantum noise channels, both non-Markovian, e.g., random telegraph noise as well as Markovian, e.g., phase damping, and amplitude damping noise. The application of noise channels is found to decrease the degree of nonclassicality, though continuing to exhibit distinct behavior in PTS and PTSB phases, with the dominant behavior appearing in the former case.
A tutorial on recursive models for analyzing and predicting path choice behavior
Creators: name: Zimmermann, Maëlle
name: Frejinger, Emma
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: The problem at the heart of this tutorial consists in modeling the path choice behavior of network users. This problem has been extensively studied in transportation science, where it is known as the route choice problem. In this literature, individuals' choice of paths are typically predicted using discrete choice models. This article is a tutorial on a specific category of discrete choice models called recursive, and it makes three main contributions: First, for the purpose of assisting future research on route choice, we provide a comprehensive background on the problem, linking it to different fields including inverse optimization and inverse reinforcement learning. Second, we formally introduce the problem and the recursive modeling idea along with an overview of existing models, their properties and applications. Third, we extensively analyze illustrative examples from different angles so that a novice reader can gain intuition on the problem and the advantages provided by recursive models in comparison to path-based ones.
Impact of photon addition and subtraction on nonclassical and phase properties of a displaced Fock state
Creators: name: Malpani, Priya
name: Thapliyal, Kishore
name: Alam, Nasir
name: Pathak, Anirban
name: Narayanan, V.
name: Banerjee, Subhashish
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Physics (quant-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Various nonclassical and quantum phase properties of photon added then subtracted displaced Fock state have been examined systematically and rigorously. Higher-order moments of the relevant bosonic operators are computed to test the nonclassicality of the state of interest, which reduces to various quantum states (having applications in quantum optics, metrology and information processing) in different limits ranging from the coherent (classical) state to the Fock (most nonclassical) states. The nonclassical features are discussed using Klyshko's, Vogel's, and Agarwal-Tara's criteria as well as the criteria of lower- and higher-order antibunching, sub-Poissonian photon statistics and squeezing. In addition, phase distribution function and quantum phase fluctuation have been studied. These properties are examined for various combinations of number of photon addition and/or subtraction and Fock parameter. The examination has revealed that photon addition generally improves nonclassicality, and this advantage enhances for the large (small) values of displacement parameter using photon subtraction (Fock parameter). The higher-order sub-Poissonian photon statistics is only observed for the odd orders. In general, higher-order nonclassicality criteria are found to detect nonclassicality even in the cases when corresponding lower-order criteria failed to do so. Photon subtraction is observed to induce squeezing, but only large number of photon addition can be used to probe squeezing for large values of displacement parameter. Further, photon subtraction is found to alter the phase properties more than photon addition, while Fock parameter has an opposite effect of the photon addition/subtraction. Finally, nonclassicality and non-Gaussianity is also established using $Q$ function.
description: Nonclassical and quantum phase properties of photon added then subtracted displaced Fock state are studied in detail
Bayesian Modeling of Multiple Structural Connectivity Networks During the Progression of Alzheimer's Disease
Creators: name: Peterson, Christine B.
name: Osborne, Nathan
name: Stingo, Francesco C.
name: Bourgeat, Pierrick
name: Doecke, James D.
name: Vannucci, Marina
Publisher: name: arXiv
Year: 2019
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Alzheimer's disease is the most common neurodegenerative disease. The aim of this study is to infer structural changes in brain connectivity resulting from disease progression using cortical thickness measurements from a cohort of participants who were either healthy control, or with mild cognitive impairment, or Alzheimer's disease patients. For this purpose, we develop a novel approach for inference of multiple networks with related edge values across groups. Specifically, we infer a Gaussian graphical model for each group within a joint framework, where we rely on Bayesian hierarchical priors to link the precision matrix entries across groups. Our proposal differs from existing approaches in that it flexibly learns which groups have the most similar edge values, and accounts for the strength of connection (rather than only edge presence or absence) when sharing information across groups. Our results identify key alterations in structural connectivity which may reflect disruptions to the healthy brain, such as decreased connectivity within the occipital lobe with increasing disease severity. We also illustrate the proposed method through simulations, where we demonstrate its performance in structure learning and precision matrix estimation with respect to alternative approaches.
description: Accepted to Biometrics January 2020
Recurrence of 2-dimensional queueing processes, and random walk exit times from the quadrant
Creators: name: Peigné, Marc
name: Woess, Wolfgang
Publisher: name: arXiv
Year: 2019
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60G50, 60K25, 37Hxx

description: Let $X = (X_1, X_2)$ be a 2-dimensional random variable and $X(n), n \in \mathbb{N}$ a sequence of i.i.d. copies of $X$. The associated random walk is $S(n)= X(1) + \cdots +X(n)$. The corresponding absorbed-reflected walk $W(n), n \in \mathbb{N}$ in the first quadrant is given by $W(0) = x \in \mathbb{R}_+^2$ and $W(n) = \max \{ 0, W(n-1) - X(n) \}$, where the maximum is taken coordinate-wise. This is often called the Lindley process and models the waiting times in a two-server queue. We characterize recurrence of this process, assuming suitable, rather mild moment conditions on $X$. It turns out that this is directly related with the tail asymptotics of the exit time of the random walk $x + S(n)$ from the quadrant, so that the main part of this paper is devoted to an analysis of that exit time in relation with the drift vector, i.e., the expectation of $X$.
Bayesian Inference of Networks Across Multiple Sample Groups and Data Types
Creators: name: Shaddox, Elin
name: Peterson, Christine B.
name: Stingo, Francesco C.
name: Hanania, Nicola A.
name: Cruickshank-Quinn, Charmion
name: Kechris, Katerina
name: Bowler, Russell
name: Vannucci, Marina
Publisher: name: arXiv
Year: 2019
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: In this paper, we develop a graphical modeling framework for the inference of networks across multiple sample groups and data types. In medical studies, this setting arises whenever a set of subjects, which may be heterogeneous due to differing disease stage or subtype, is profiled across multiple platforms, such as metabolomics, proteomics, or transcriptomics data. Our proposed Bayesian hierarchical model first links the network structures within each platform using a Markov random field prior to relate edge selection across sample groups, and then links the network similarity parameters across platforms. This enables joint estimation in a flexible manner, as we make no assumptions on the directionality of influence across the data types or the extent of network similarity across the sample groups and platforms. In addition, our model formulation allows the number of variables and number of subjects to differ across the data types, and only requires that we have data for the same set of groups. We illustrate the proposed approach through both simulation studies and an application to gene expression levels and metabolite abundances on subjects with varying severity levels of Chronic Obstructive Pulmonary Disease (COPD).
Ceratozamia miqueliana
Creators: name: González, José García
name: Pérez-Farrera, Miguel Á.
name: Gutiérrez-Ortega, José Said
name: Vovides, Andrew P.
name: Jimenez, Pedro Díaz
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Cycadopsida
Cycadales
Zamiaceae
Ceratozamia
Ceratozamia miqueliana

description: Key of Ceratozamia miqueliana species complex
1.- Leaflets oblong to oblanceolate, leaves light green emergent............................................................................................................2
- Leaflets linear, lanceolate or long oblanceolate, pink or reddish-light emergent leaves....................................................................7
2.- Leaflets membranaceous ....................................................................................................................................................................3
- Leaflets papyraceous or coriaceous....................................................................................................................................................4
3.- Leaves emerging glossy to slightly glaucous lime green with non-glaucous to slightly glaucous petioles ................. C. hondurensis
- Leaves emerging glaucous pale light green to bluish with intensely glaucous petioles............................................. C. euryphyllidia
4.- Leaflets coriaceous .............................................................................................................................................................................5 - Leaflets papyraceous ..................................................................................................................................................... C. miqueliana
5. Leaflets subfalcate, oblong to widely oblanceolate........................................................................................................... C. becerrae
- Leaflets not subfalcate, oblanceolate..................................................................................................................................................6
6. Leaflets with visible veins, distance between leaflets 1.7–2.4 cm, female cones decumbent at maturity ...................... C. zoquorum
- Leaflets without visible veins, distance between leaflets 3.4–7.5 cm, female cones erect at maturity........................... C. santillanii
7.- Leaflets long oblanceolate, coriaceous, circinate vernation, emergent leaves Mexican pink................................................ C. rosea
- Leaflets linear to lanceolate, papyraceous, vernation inflexed, emergent leaves green or light reddish ...................... C. sancheziae
description: Published as part of González, José García, Pérez-Farrera, Miguel Á., Gutiérrez-Ortega, José Said, Vovides, Andrew P. & Jimenez, Pedro Díaz, 2023, Ceratozamia rosea (Zamiaceae): A new species from the Northern Mountains of Chiapas, Mexico, pp. 73-88 in Phytotaxa 595 (1) on pages 84-85, DOI: 10.11646/phytotaxa.595.1.5, http://zenodo.org/record/7889553
Continuous variable direct secure quantum communication using Gaussian states
Creators: name: S, Srikara
name: Thapliyal, Kishore
name: Pathak, Anirban
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Physics (quant-ph)
subject: Cryptography and Security (cs.CR)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Continuous variable one-way and controlled-two-way secure direct quantum communication schemes have been designed using Gaussian states. Specifically, a scheme for continuous variable quantum secure direct communication and another scheme for continuous variable controlled quantum dialogue are proposed using single-mode squeezed coherent states. The security of the proposed schemes against a set of attacks (e.g., Gaussian quantum cloning machine and intercept resend attacks) has been proved. Further, it is established that the proposed schemes do not require two-mode squeezed states which are essential for a set of existing proposals. The controlled two-way communication scheme is shown to be very general in nature as it can be reduced to schemes for various relatively simpler cryptographic tasks like controlled deterministic secure communication, quantum dialogue, quantum key distribution. In addition, it is briefly discussed that the proposed schemes can provide us tools to design quantum cryptographic solutions for several socioeconomic problems.
description: Continuous Variable protocols are designed for one-way and controlled-two-way secure direct quantum communication using single-mode squeezed coherent states
Soft-Label Dataset Distillation and Text Dataset Distillation
Creators: name: Sucholutsky, Ilia
name: Schonlau, Matthias
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Dataset distillation is a method for reducing dataset sizes by learning a small number of synthetic samples containing all the information of a large dataset. This has several benefits like speeding up model training, reducing energy consumption, and reducing required storage space. Currently, each synthetic sample is assigned a single `hard' label, and also, dataset distillation can currently only be used with image data. We propose to simultaneously distill both images and their labels, thus assigning each synthetic sample a `soft' label (a distribution of labels). Our algorithm increases accuracy by 2-4% over the original algorithm for several image classification tasks. Using `soft' labels also enables distilled datasets to consist of fewer samples than there are classes as each sample can encode information for multiple classes. For example, training a LeNet model with 10 distilled images (one per class) results in over 96% accuracy on MNIST, and almost 92% accuracy when trained on just 5 distilled images. We also extend the dataset distillation algorithm to distill sequential datasets including texts. We demonstrate that text distillation outperforms other methods across multiple datasets. For example, models attain almost their original accuracy on the IMDB sentiment analysis task using just 20 distilled sentences. Our code can be found at $\href{https://github.com/ilia10000/dataset-distillation}{\text{https://github.com/ilia10000/dataset-distillation}}$.
Online premeans and their computation complexity
Creators: name: Pasteczka, Paweł
Publisher: name: arXiv
Year: 2019
Subjects: subject: General Mathematics (math.GM)
subject: FOS: Mathematics

description: We extend some approach to a family of symmetric means (i.e. symmetric functions $\mathscr{M} \colon \bigcup_{n=1}^\infty I^n \to I$ with $\min\le \mathscr{M}\le \max$; $I$ is an interval). Namely, it is known that every symmetric mean can be written in a form $\mathscr{M}(x_1,\dots,x_n):=F(f(x_1)+\cdots+f(x_n))$, where $f \colon I \to G$ and $F \colon G \to I$ ($G$ is a commutative semigroup). For $G=\mathbb{R}^k$ or $G=\mathbb{R}^k \times \mathbb{Z}$ ($k \in \mathbb{N}$) and continuous functions $f$ and $F$ we obtain two series of families (depending on $k$). It can be treated as a measure of complexity in a family of means (this idea is inspired by theory of regular languages and algorithmics). As a result we characterize celebrated families of quasi-arithmetic means ($G=\mathbb{R}\times \mathbb{Z}$) and Bajraktarević means ($G=\mathbb{R}^2$ under some additional assumptions). Moreover, we establish certain estimations of complexity for several other classical families.
Sperberacris Matiotti
Creators: name: Costa, Maria Kátia Matiotti Da
name: Fernandes, Anelise
name: Acosta, Riuler Corrêa
name: Zefa, Edison
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Acrididae
Sperberacris

description: Sperberacris Matiotti da Costa, n. gen.
(Figs. 1–12)
description: Published as part of Costa, Maria Kátia Matiotti Da, Fernandes, Anelise, Acosta, Riuler Corrêa & Zefa, Edison, 2023, Sperberacris, a new Neotropical genus of Gomphocerinae (Orthoptera: Acridoidea Acrididae) from State of Alagoas, Brazil with chromosome complement, pp. 73-80 in Zootaxa 5228 (1) on page 74, DOI: 10.11646/zootaxa.5228.1.4, http://zenodo.org/record/7524108
Are optical quantum information processing experiments possible without beamsplitter?
Creators: name: Thapliyal, Kishore
name: Pathak, Anirban
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Physics (quant-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The significance of beamsplitter in experimental optical quantum information processing and quantum technology is discussed with a focus on the role of a beamsplitter-type Hamiltonian in the recent development in this field of research. Here, we follow a new approach to briefly describe quantum measurement, Bell measurement, quantum state engineering, quantum teleportation, cryptography, and computation using both discrete and continuous variables to establish the wide applications of beamsplitter-type operation. Finally, we also discuss the limitations of this linear optical element.
description: This article, to be published in a special issue of Asian Journal of Physics, is dedicated to Professor Ajoy Ghatak on his 80th birthday focused on the significance of beamsplitter-type Hamiltonian and corresponding optical element in discrete and continuous variable quantum communication and computation
Fairing of Discrete Planar Curves by Discrete Euler's Elasticae
Creators: name: Zurita, Sebastián Elías Graiff
name: Kajiwara, Kenji
Publisher: name: arXiv
Year: 2019
Subjects: subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Physical sciences

description: After characterizing the integrable discrete analogue of the Euler's elastica, we focus our attention on the problem of approximating a given discrete planar curve by an appropriate discrete Euler's elastica. We carry out the fairing process via a $L^2\!$-distance minimization to avoid the numerical instabilities. The optimization problem is solved via a gradient-driven optimization method (IPOPT). This problem is non-convex and the result strongly depends on the initial guess, so that we use a discrete analogue of the algorithm provided by Brander et al., which gives an initial guess to the optimization method.
Towards Green 3D-Microfabrication of Bio-MEMS Devices Using ADEX Dry Film Photoresists
Creators: name: Roos, Michael M.
name: Winkler, Andreas
name: Nilsen, Madeleine
name: Menzel, Siegfried B.
name: Strehle, Steffen
Publisher: name: Berlin ; Heidelberg : Springer
Year: 2022
Subjects: subject: 3D Microfabrication
subject: Dry film photoresist
subject: Lab-on-a-chip
subject: Lithography
subject: Microcantilevers
subject: Microprobes
subject: 620
subject: 624

description: Current trends in miniaturized diagnostics indicate an increasing demand for large quantities of mobile devices for health monitoring and point-of-care diagnostics. This comes along with a need for rapid but preferably also green microfabrication. Dry film photoresists (DFPs) promise low-cost and greener microfabrication and can partly or fully replace conventional silicon-technologies being associated with high-energy demands and the intense use of toxic and climate-active chemicals. Due to their mechanical stability and superior film thickness homogeneity, DFPs outperform conventional spin-on photoresists, such as SU-8, especially when three-dimensional architectures are required for micro-analytical devices (e.g. microfluidics). In this study, we utilize the commercial epoxy-based DFP ADEX to demonstrate various application scenarios ranging from the direct modification of microcantilever beams via the assembly of microfluidic channels to lamination-free patterning of DFPs, which employs the DFP directly as a substrate material. Finally, kinked, bottom-up grown silicon nanowires were integrated in this manner as prospective ion-sensitive field-effect transistors in a bio-probe architecture directly on ADEX substrates. Hence, we have developed the required set of microfabrication protocols for such an assembly comprising metal thin film deposition, direct burn-in of lithography alignment markers, and polymer patterning on top of the DFP.
Stellar Abundances In The Solar Neighborhood
Creators: name: Hinkel, Natalie R.
Publisher: name: Zenodo
Year: 2012
Subjects: Stellar Abundances
Stellar populations
Catalogs
Nucleosynthesis
Extrasolar Planets
Planetary system formation
Habitability

description: The only elements that were made in significant quantity during the Big Bang were hydrogen and helium, and to a lesser extent lithium.  Depending on the initial mass of a star, it may eject some or all of the unique, newly formed elements into the interstellar medium.  The enriched gas later collapses into new stars, which are able to form heavier elements due to the presence of the new elements.  When we observe the abundances in a stellar regions, we are able to glean the astrophysical phenomena that occurred prior to its formation.

I compile spectroscopic abundance data from 49 literature sources for 46 elements across 2836 stars in the solar neighborhood, within 150 pc of the Sun, to produce the Hypatia Catalog.  I analyze the variability of the spread in abundance measurements reported for the same star by different surveys, the corresponding stellar atmosphere parameters adopted by various abundance determination methods, and the effect of normalizing all abundances to the same solar scale.  The resulting abundance ratios [X/Fe] as a function of [Fe/H] are consistent with stellar nucleosynthetic processes and known Galactic thin-disk trends.

I analyze the element abundances for 204 known exoplanet host-stars.  In general, I find that exoplanet host-stars are not enriched more than the surrounding population of stars, with the exception of iron.  I examine the stellar abundances with respect to both stellar and planetary physical properties, such as orbital period, eccentricity, planetary mass, stellar mass, and stellar color.  My data confirms that exoplanet hosts are enriched in [Fe/H] but not in the refractory elements, per the self-enrichment theory for stellar composition.

Lastly, I apply the Hypatia Catalog to the Catalog of Potentially Habitable Stellar Systems in order to investigate the abundances in the 1224 overlapping stars.  By looking at stars similar to the Sun with respect to six bio-essential elements, I created maps that have located two ``habitability windows'' on the sky: (20.6h, -4.8o) and (22.6h, -48.5o).  These windows may be of use in future targeted or beamed searches.
The problem with DDPG: understanding failures in deterministic environments with sparse rewards
Creators: name: Matheron, Guillaume
name: Perrin, Nicolas
name: Sigaud, Olivier
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: In environments with continuous state and action spaces, state-of-the-art actor-critic reinforcement learning algorithms can solve very complex problems, yet can also fail in environments that seem trivial, but the reason for such failures is still poorly understood. In this paper, we contribute a formal explanation of these failures in the particular case of sparse reward and deterministic environments. First, using a very elementary control problem, we illustrate that the learning process can get stuck into a fixed point corresponding to a poor solution. Then, generalizing from the studied example, we provide a detailed analysis of the underlying mechanisms which results in a new understanding of one of the convergence regimes of these algorithms. The resulting perspective casts a new light on already existing solutions to the issues we have highlighted, and suggests other potential approaches.
description: 19 pages, submitted to ICLR 2020
Harmonic Audio Object Processing In Frequency Domain
Creators: name: Huber, Stefan
Publisher: name: Zenodo
Year: 2009

description: The aim of this thesis work is the transformation of timing, time duration and fundamental frequency of audio objects like single notes or a melody line of one instrument within a polyphonic audio environment. The research is limited to harmonic audio objects which are comprised of a series of frequency partials sharing a quasiharmonic interval relation among them. With this percussive sounds of stochastic nature without sinusoidal content are excluded while the stochastic component as intrinsic part of different instruments is considered because of its perceptual significance. A priori knowledge about the pitch and timing of each note is required from a MIDI file including several mono tracks. Thus no probabilistic estimation of the concurrent number of sources and the pitch and timing of note events is considered and to be expected errors are omitted. In contrary to well-known fields of research like source separation or audio decomposition into single mono tracks, the research work as well as the application implemented for this thesis estimates the harmonic partials, the transient part of each note onset and the stochastic residual belonging to one audio object without iteratively subtracting the estimation results from the input stream. Before synthesis musically meaningful transformations like time-scaling or pitch-shifting along with their corresponding scaling factor, the shifting of audio objects in time or the substitution of audio objects by other instrument types are considered. The re-synthesized audio output will be examined by subjective listening and objective evaluation tests against a reference output where the same transformation got applied to the corresponding audio object of the monophonic track before mixing all tracks together.
On the construction of Riemannian three-spaces with smooth inverse mean curvature foliation
Creators: name: Rácz, István
Publisher: name: arXiv
Year: 2019
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Consider a one-parameter family of smooth Riemannian metrics on a two-sphere, $\mathscr{S}$. By choosing a one-parameter family of smooth lapse and shift, these Riemannian two-spheres can always be assembled into smooth Riemannian three-space, with metric $h_{ij}$ on a three-manifold $Σ$ foliated by a one-parameter family of two-spheres $\mathscr{S}_ρ$. It is shown first that we can always choose the shift such that the $\mathscr{S}_ρ$ surfaces form a smooth inverse mean curvature foliation of $Σ$. An integrodifferential expression, referring only to the area of the level sets and the lapse function, is also derived that can be used to quantify the Geroch mass. If the constructed Riemannian three-space happens to be asymptotically flat and the $ρ$-integral of the integrodifferential expression is non-negative, then not only the positive mass theorem but, if one of the $\mathscr{S}_ρ$ level sets is a minimal surface, the Penrose inequality also holds. Notably, neither of the above results requires the scalar curvature of the constructed three-metric to be non-negative.
description: 20 pages, no figure; matched to the published version
Selektionsalgorithmus zur effizienten, kompetenzorientierten Ressourcenallokation in Geschäftsprozessen
Creators: name: Drescher, Andreas
name: Oberweis, Andreas
name: Schuster, Thomas
Publisher: name: Karlsruhe
Year: 2010

description: Das Management von inner- und überbetrieblichen Geschäftsprozessen ist ein entscheidender Faktor für den Erfolg von Unternehmen. Neben der Modellierung und Analyse dieser Geschäftsprozesse gilt dies in besonderem Maße für deren Ausführung und Überwachung. Aus diesem Grund ist die Festlegung von Zuständigkeiten und benötigten Ressourcen für Teilarbeitsschritte von essentieller Bedeutung.
Gängige Ressourcenmodelle erlauben die Auswahl von Ressourcen über Rollenbeschreibungen, wahrend Fähigkeiten und Kompetenzen der Akteure gar nicht oder nur vereinfacht zum Tragen kommen. In diesem Beitrag wird daher ein Verfahren vorgestellt, das die Zuweisung von Ressourcen zu Aufgaben unter Berücksichtigung von Kompetenzen erlaubt. Diese Kombination bietet Mechanismen zu einer effizienteren
Auswahl geeigneter Ressourcen, als dies durch einfache Rollenmodelle möglich ist. Im Rahmen eines Fallbeispiels wird schließlich die Praxisrelevanz dieses Ansatzes verdeutlicht, der künftig zur Implementierung erweiterter Schedulingverfahren eingesetzt werden kann.