cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Magnetic ordering induced by interladder coupling in the spin-1/2 Heisenberg two-leg ladder antiferromagnet C$_9$H$_{18}$N$_2$CuBr$_4$
Creators: name: Hong, Tao
name: Schmidt, K. P.
name: Coester, K.
name: Awwadi, F. F.
name: Turnbull, M. M.
name: Qiu, Y.
name: Rodriguez-Rivera, J. A.
name: Zhu, M.
name: Ke, X.
name: Aoyama, C. P.
name: Takano, Y.
name: Cao, Huibo
name: Tian, W.
name: Ma, J.
name: Custelcean, R.
name: Zhou, H. D.
name: Matsuda, M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We present specific-heat and neutron-scattering results for the \emph{S}=1/2 quantum antiferromagnet (dimethylammonium)(3,5-dimethylpyridinium)CuBr$_4$. The material orders magnetically at \emph{T}$_N$=1.99(2)\,K, and magnetic excitations are accompanied by an energy gap of 0.30(2) meV due to spin anisotropy. The system is best described as coupled two-leg spin-1/2 ladders with the leg exchange $J_{\rm leg}$=0.60(2)~meV, rung exchange $J_{\rm rung}$=0.64(9)~meV, interladder exchange $J_{\rm int}$=0.19(2)~meV, and an interaction-anisotropy parameter $λ$=0.93(2), according to inelastic neutron-scattering measurements. In contrast to most spin ladders reported to date, the material is a rare example in which the interladder coupling is very near the critical value required to drive the system to a Néel-ordered phase without an assistance of a magnetic field.
description: 6 pages, 4 figures
Slow-Fast Systems with Fractional Environment and Dynamics
Creators: name: Li, Xue-Mei
name: Sieber, Julian
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60G22, 60H10, 37A25

description: We prove a fractional averaging principle for interacting slow-fast systems. The mode of convergence is in Hölder norm in probability. The main technical result is a quenched ergodic theorem on the conditioned fractional dynamics. We also establish geometric ergodicity for a class of fractional-driven stochastic differential equations, improving a recent result of Panloup and Richard.
description: 37 pages. Accepted version
Agrypnus anili Punam, Saini and Vasu 1997
Creators: name: Kotru, Akash
name: Chandran, Nithya
name: Dubey, Anil Kumar
name: Prosvirov, Alexander S.
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Elateridae
Agrypnus
Agrypnus anili

description: Agrypnus anili Punam, Saini and Vasu, 1997
Agrypnus anili Punam, Saini and Vasu, 1997: 288.
Type depository. Type not deposited in NPC-IARI.
Type locality. Meghalaya (Cheerapunji).
Distribution. India: Manipur, Meghalaya.
Literature. Punam et al. (1997: 288): original description.
description: Published as part of Kotru, Akash, Chandran, Nithya, Dubey, Anil Kumar & Prosvirov, Alexander S., 2025, A catalogue of Indian Agrypninae Candèze, 1857 (Coleoptera: Elateridae), pp. 1-66 in Zootaxa 5614 (1) on page 12, DOI: 10.11646/zootaxa.5614.1.1, http://zenodo.org/record/15217075
Derangements and the $p$-adic incomplete gamma function
Creators: name: O'Desky, Andrew
name: Richman, David Harry
Publisher: name: arXiv
Year: 2020
Subjects: subject: Number Theory (math.NT)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 33B20, 11S80, 11B75, 05A05

description: We introduce a $p$-adic analogue of the incomplete gamma function. We also introduce quantities ($m$-values) associated to a function on natural numbers and prove a new characterization of $p$-adic continuity for functions with $p$-integral $m$-values. Combinatorial interpretations for the integral values of the incomplete gamma function and functions with $m$-values zero or one are obtained, which show that these functions count derangements in generalized symmetric groups and permutations with restricted cycle lengths.
description: 26 pages; new material on m-values; revised for clarity
A Reverse Hilbert-like Optimal Inequality
Creators: name: Kouba, Omran
Publisher: name: arXiv
Year: 2014
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: We prove an inequality on positive real numbers, that looks like a reverse to the well-known Hilbert inequality, and we use some unusual techniques from Fourier analysis to prove that this inequality is optimal.
description: 7 pages
An Adaptive Memory Multi-Batch L-BFGS Algorithm for Neural Network Training
Creators: name: Zocco, Federico
name: McLoone, Seán
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Motivated by the potential for parallel implementation of batch-based algorithms and the accelerated convergence achievable with approximated second order information a limited memory version of the BFGS algorithm has been receiving increasing attention in recent years for large neural network training problems. As the shape of the cost function is generally not quadratic and only becomes approximately quadratic in the vicinity of a minimum, the use of second order information by L-BFGS can be unreliable during the initial phase of training, i.e. when far from a minimum. Therefore, to control the influence of second order information as training progresses, we propose a multi-batch L-BFGS algorithm, namely MB-AM, that gradually increases its trust in the curvature information by implementing a progressive storage and use of curvature data through a development-based increase (dev-increase) scheme. Using six discriminative modelling benchmark problems we show empirically that MB-AM has slightly faster convergence and, on average, achieves better solutions than the standard multi-batch L-BFGS algorithm when training MLP and CNN models.
description: Accepted at the 21st IFAC World Congress, 12-17 July 2020, Berlin, Germany
Code smells detection and visualization: A systematic literature review
Creators: name: Reis, José Pereira dos
name: Abreu, Fernando Brito e
name: Carneiro, Glauco de Figueiredo
name: Anslow, Craig
Publisher: name: arXiv
Year: 2020
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences
subject: D.2.7

description: Context: Code smells (CS) tend to compromise software quality and also demand more effort by developers to maintain and evolve the application throughout its life-cycle. They have long been catalogued with corresponding mitigating solutions called refactoring operations. Objective: This SLR has a twofold goal: the first is to identify the main code smells detection techniques and tools discussed in the literature, and the second is to analyze to which extent visual techniques have been applied to support the former. Method: Over 83 primary studies indexed in major scientific repositories were identified by our search string in this SLR. Then, following existing best practices for secondary studies, we applied inclusion/exclusion criteria to select the most relevant works, extract their features and classify them. Results: We found that the most commonly used approaches to code smells detection are search-based (30.1%), and metric-based (24.1%). Most of the studies (83.1%) use open-source software, with the Java language occupying the first position (77.1%). In terms of code smells, God Class (51.8%), Feature Envy (33.7%), and Long Method (26.5%) are the most covered ones. Machine learning techniques are used in 35% of the studies. Around 80% of the studies only detect code smells, without providing visualization techniques. In visualization-based approaches several methods are used, such as: city metaphors, 3D visualization techniques. Conclusions: We confirm that the detection of CS is a non trivial task, and there is still a lot of work to be done in terms of: reducing the subjectivity associated with the definition and detection of CS; increasing the diversity of detected CS and of supported programming languages; constructing and sharing oracles and datasets to facilitate the replication of CS detection and visualization techniques validation experiments.
description: submitted to ARCO
Supplementary document for Unidirectional and highly dispersive grating emitters for silicon photonic beam steerers - 7155476.pdf
Creators: name: Chen, Fa-Lun
name: Yiu, Gow-Zin
name: Chang, You-Chia
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: Supplement 1
Target specification bias, counterfactual prediction, and algorithmic fairness in healthcare
Creators: name: Tal, Eran
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Computers and Society (cs.CY)
subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Bias in applications of machine learning (ML) to healthcare is usually attributed to unrepresentative or incomplete data, or to underlying health disparities. This article identifies a more pervasive source of bias that affects the clinical utility of ML-enabled prediction tools: target specification bias. Target specification bias arises when the operationalization of the target variable does not match its definition by decision makers. The mismatch is often subtle, and stems from the fact that decision makers are typically interested in predicting the outcomes of counterfactual, rather than actual, healthcare scenarios. Target specification bias persists independently of data limitations and health disparities. When left uncorrected, it gives rise to an overestimation of predictive accuracy, to inefficient utilization of medical resources, and to suboptimal decisions that can harm patients. Recent work in metrology - the science of measurement - suggests ways of counteracting target specification bias and avoiding its harmful consequences.
description: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society (AIES23)
On harmonic Functions of killed Random Walks in two dimensional convex Cones
Creators: name: Duraj, Jetlir
Publisher: name: arXiv
Year: 2013
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics

description: We prove the existence of uncountably many positive harmonic functions for random walks on the euclidean lattice with non-zero drift, killed when leaving two dimensional convex cones with vertex in 0. Our proof is an adaption of the proof for the positive quadrant from [Ignatiouk-Robert, Loree]. We also make the natural conjecture about the Martin boundary for general convex cones in two dimensions. This is still an open problem and here we only indicate where the proof technique for the positive quadrant breaks down.
description: 10 pages, 2 figures
Recovery of Linear Components: Reduced Complexity Autoencoder Designs
Creators: name: Zocco, Federico
name: McLoone, Seán
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Reducing dimensionality is a key preprocessing step in many data analysis applications to address the negative effects of the curse of dimensionality and collinearity on model performance and computational complexity, to denoise the data or to reduce storage requirements. Moreover, in many applications it is desirable to reduce the input dimensions by choosing a subset of variables that best represents the entire set without any a priori information available. Unsupervised variable selection techniques provide a solution to this second problem. An autoencoder, if properly regularized, can solve both unsupervised dimensionality reduction and variable selection, but the training of large neural networks can be prohibitive in time sensitive applications. We present an approach called Recovery of Linear Components (RLC), which serves as a middle ground between linear and non-linear dimensionality reduction techniques, reducing autoencoder training times while enhancing performance over purely linear techniques. With the aid of synthetic and real world case studies, we show that the RLC, when compared with an autoencoder of similar complexity, shows higher accuracy, similar robustness to overfitting, and faster training times. Additionally, at the cost of a relatively small increase in computational complexity, RLC is shown to outperform the current state-of-the-art for a semiconductor manufacturing wafer measurement site optimization application.
A "fair sampling" perspective on an apparent violation of duality
Creators: name: Bolduc, Eliot
name: Leach, Jonathan
name: Miatto, Filippo M.
name: Leuchs, Gerd
name: Boyd, Robert W.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In the event in which a quantum mechanical particle can pass from an initial state to a final state along two possible paths, the duality principle states that "the simultaneous observation of wave and particle behavior is prohibited". [M. O. Scully, B.-G. Englert, and H. Walther. Nature, 351:111-116, 1991.] emphasized the importance of additional degrees of freedom in the context of complementarity. In this paper, we show how the consequences of duality change when allowing for biased sampling, that is, postselected measurements on specific degrees of freedom of the environment of the two-path state. Our work contributes to the explanation of previous experimental apparent violations of duality [R. Menzel, D. Puhlmann, A. Heuer, and W. P. Schleich. Proc. Natl. Acad. Sci., 109(24):9314-9319, 2012.] and opens up the way for novel experimental tests of duality.
description: 10 pages, 8 figures
Veldkamp-Space Aspects of a Sequence of Nested Binary Segre Varieties
Creators: name: Saniga, Metod
name: Havlicek, Hans
name: Holweck, Frederic
name: Planat, Michel
name: Pracna, Petr
Publisher: name: arXiv
Year: 2014
Subjects: subject: Combinatorics (math.CO)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Let $S_{(N)} \equiv PG(1,\,2) \times PG(1,\,2) \times \cdots \times PG(1,\,2)$ be a Segre variety that is $N$-fold direct product of projective lines of size three. Given two geometric hyperplanes $H'$ and $H''$ of $S_{(N)}$, let us call the triple $\{H', H'', \overline{H' ΔH''}\}$ the Veldkamp line of $S_{(N)}$. We shall demonstrate, for the sequence $2 \leq N \leq 4$, that the properties of geometric hyperplanes of $S_{(N)}$ are fully encoded in the properties of Veldkamp {\it lines} of $S_{(N-1)}$. Using this property, a complete classification of all types of geometric hyperplanes of $S_{(4)}$ is provided. Employing the fact that, for $2 \leq N \leq 4$, the (ordinary part of) Veldkamp space of $S_{(N)}$ is $PG(2^N-1,2)$, we shall further describe which types of geometric hyperplanes of $S_{(N)}$ lie on a certain hyperbolic quadric $\mathcal{Q}_0^+(2^N-1,2) \subset PG(2^N-1,2)$ that contains the $S_{(N)}$ and is invariant under its stabilizer group; in the $N=4$ case we shall also single out those of them that correspond, via the Lagrangian Grassmannian of type $LG(4,8)$, to the set of 2295 maximal subspaces of the symplectic polar space $\mathcal{W}(7,2)$.
description: 16 pages, 8 figures and 7 tables
Inventions on Adaptable Menu: A TRIZ based analysis
Creators: name: Mishra, Umakant
Publisher: name: arXiv
Year: 2014
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: The menu is one of the most widely used elements of a graphical user interface. The objective of a menu system is to provide various commands and functions to the user in an easy way so that the user can just select the desired operation from a given list instead of typing a complex command in the command prompt. In a conventional menu system the menu items or options are hard-coded in the computer program. The programmer or developer composes menu items at the time of development. The developer tries to include all options that he feels may be required by the user in future. Although the items are decided from "requirement analysis" and other studies, it is difficult to know the exact need of a user at a future period of time. This leads to inclusion of a lot of items in the menu, which leads to user confusion and frustration. Thus there is a need for adaptable menu that can be changed according to user requirement. The items of the adaptable menu should change from user to user and from time to time depending on the program context and likelihood of user selection. This article defines the Ideal Final Result of a dropdown menu system, defines the desirable functions of an adaptable menu, finds and solves the contradictions faced in achieving the desirable functions, and illustrates six selected cases on adaptable menu from US patent database.
description: 10 pages, 6 figures
Deep learning and high harmonic generation
Creators: name: Lytova, M.
name: Spanner, M.
name: Tamblyn, I.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: Machine Learning (cs.LG)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Using machine learning, we explore the utility of various deep neural networks (NN) when applied to high harmonic generation (HHG) scenarios. First, we train the NNs to predict the time-dependent dipole and spectra of HHG emission from reduced-dimensionality models of di- and triatomic systems based of on sets of randomly generated parameters (laser pulse intensity, internuclear distance, and molecular orientation). These networks, once trained, are useful tools to rapidly generate the HHG spectra of our systems. Similarly, we have trained the NNs to solve the inverse problem - to determine the molecular parameters based on HHG spectra or dipole acceleration data. These types of networks could then be used as spectroscopic tools to invert HHG spectra in order to recover the underlying physical parameters of a system. Next, we demonstrate that transfer learning can be applied to our networks to expand the range of applicability of the networks with only a small number of new test cases added to our training sets. Finally, we demonstrate NNs that can be used to classify molecules by type: di- or triatomic, symmetric or asymmetric, wherein we can even rely on fairly simple fully connected neural networks. With outlooks toward training with experimental data, these NN topologies offer a novel set of spectroscopic tools that could be incorporated into HHG experiments.
Spectral and Timing Properties of the Black Hole X-ray Binary H 1743-322 in the Low/hard State Studied with Suzaku
Creators: name: Shidatsu, Megumi
name: Ueda, Yoshihiro
name: Yamada, Shin'ya
name: Done, Chris
name: Hori, Takafumi
name: Yamaoka, Kazutaka
name: Kubota, Aya
name: Nagayama, Takahiro
name: Moritani, Yuki
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: We report on the results from Suzaku observations of the Galactic black hole X-ray binary H 1743-322 in the low/hard state during its outburst in 2012 October. We appropriately take into account the effects of dust-scattering to accurately analyze the X-ray spectra. The time-averaged spectra in the 1-200 keV band are dominated by a hard power-law component of a photon index of \approx 1.6 with a high-energy cutoff at \approx 60 keV, which is well described with Comptonization of the disk emission by hot corona. We estimate the inner disk radius from the multi-color disk component, and find that it is 1.3-2.3 times larger than the radius in the high/soft state. This suggests that the standard disk was not extended to the innermost stable circular orbit. A reflection component from the disk is detected with R = Ω/2π\approx 0.6 (Ωis the solid angle). We also successfully estimate the stable disk component in a way independent of the time-averaged spectral modeling, by analyzing short-term spectral variability on the \sim 1-sec timescale. A weak low-frequency quasi-periodic oscillation (LF QPO) at 0.1-0.2 Hz is detected, whose frequency is found to correlate with the X-ray luminosity and photon index. This result may be explained by the evolution of the disk truncation radius.
description: 13 pages, 10 figures, accepted for publication in ApJ
Crowdsmelling: The use of collective knowledge in code smells detection
Creators: name: Reis, José Pereira dos
name: Abreu, Fernando Brito e
name: Carneiro, Glauco de Figueiredo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences
subject: D.2.7

description: Code smells are seen as major source of technical debt and, as such, should be detected and removed. However, researchers argue that the subjectiveness of the code smells detection process is a major hindrance to mitigate the problem of smells-infected code. We proposed the crowdsmelling approach based on supervised machine learning techniques, where the wisdom of the crowd (of software developers) is used to collectively calibrate code smells detection algorithms, thereby lessening the subjectivity issue. This paper presents the results of a validation experiment for the crowdsmelling approach. In the context of three consecutive years of a Software Engineering course, a total "crowd" of around a hundred teams, with an average of three members each, classified the presence of 3 code smells (Long Method, God Class, and Feature Envy) in Java source code. These classifications were the basis of the oracles used for training six machine learning algorithms. Over one hundred models were generated and evaluated to determine which machine learning algorithms had the best performance in detecting each of the aforementioned code smells. Good performances were obtained for God Class detection (ROC=0.896 for Naive Bayes) and Long Method detection (ROC=0.870 for AdaBoostM1), but much lower for Feature Envy (ROC=0.570 for Random Forrest). Obtained results suggest that crowdsmelling is a feasible approach for the detection of code smells, but further validation experiments are required to cover more code smells and to increase external validity.
Multiple quasiparticle Hall spectroscopy investigated with a resonant detector
Creators: name: Ferraro, D.
name: Carrega, M.
name: Braggio, A.
name: Sassetti, M.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We investigate the finite frequency (f.f.) noise properties of edge states in the quantum Hall regime. We consider the measurement scheme of a resonant detector coupled to a quantum point contact in the weak-backscattering limit. A detailed analysis of the difference between the "measured" noise, due to the presence of the resonant detector, and the symmetrized f.f. noise is presented. We discuss both the Laughlin and Jain sequences, studying the tunnelling excitations in these hierarchical models. We argue that the measured noise can better distinguish between the different excitations in the tunnelling process with respect to the symmetrized f.f. counterpart in an experimentally relevant range of parameters. Finally, we illustrate the effect of the detector temperature on the sensibility of this measure.
description: 24 pages, 8 figures
Chromatic Afterglow of GRB 200829A
Creators: name: Pankov, N. S.
name: Pozanenko, A. S.
name: Minaev, P. Yu.
name: Belkin, S. O.
name: Volnova, A. A.
name: Reva, I. V.
name: Serebryanskiy, A. V.
name: Krugov, M. A.
name: Naroenkov, S. A.
name: Novichonok, A. O.
name: Zhornichenko, A. A.
name: Rumyantsev, V. V.
name: Antonyuk, K. A.
name: Egamberdiev, Sh. A.
name: Burkhonov, O. A.
name: Klunko, E. V.
name: Moskvitin, A. S.
name: Molotov, I. E.
name: Inasaridze, R. Ya.
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences
subject: J.2
subject: 85-05

description: We present the results of our analysis of multiwavelength observations for the long gamma-ray burst GRB 200829A. The burst redshift $z \approx 1.29 \pm 0.04$ has been determined photometrically at the afterglow phase. In gamma rays the event is one of the brightest (in isotropic equivalent), $E_{iso} \gtrsim 10^{54}$ erg. The multicolor light curve of the GRB 200829A afterglow is characterized by chromatic behavior and the presence of a plateau gradually transitioning into a power-law decay that can also be interpreted as a quasi-synchronous inhomogeneity (flare). We assume that the presence of a chromatic inhomogeneity in the early afterglow is consistent with the model of a structured jet.
description: 18 pages, 14 figures
MSED: a multi-modal sleep event detection model for clinical sleep analysis
Creators: name: Olesen, Alexander Neergaard
name: Jennum, Poul
name: Mignot, Emmanuel
name: Sorensen, Helge B. D.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: Applications (stat.AP)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Clinical sleep analysis require manual analysis of sleep patterns for correct diagnosis of sleep disorders. However, several studies have shown significant variability in manual scoring of clinically relevant discrete sleep events, such as arousals, leg movements, and sleep disordered breathing (apneas and hypopneas). We investigated whether an automatic method could be used for event detection and if a model trained on all events (joint model) performed better than corresponding event-specific models (single-event models). We trained a deep neural network event detection model on 1653 individual recordings and tested the optimized model on 1000 separate hold-out recordings. F1 scores for the optimized joint detection model were 0.70, 0.63, and 0.62 for arousals, leg movements, and sleep disordered breathing, respectively, compared to 0.65, 0.61, and 0.60 for the optimized single-event models. Index values computed from detected events correlated positively with manual annotations ($r^2$ = 0.73, $r^2$ = 0.77, $r^2$ = 0.78, respectively). We furthermore quantified model accuracy based on temporal difference metrics, which improved overall by using the joint model compared to single-event models. Our automatic model jointly detects arousals, leg movements and sleep disordered breathing events with high correlation with human annotations. Finally, we benchmark against previous state-of-the-art multi-event detection models and found an overall increase in F1 score with our proposed model despite a 97.5% reduction in model size. Source code for training and inference is available at https://github.com/neergaard/msed.git.
description: 10 pages, 4 figures. Accepted for publication in IEEE Transactions on Biomedical Engineering
The ionization structure of multiple shell planetary nebulae: I. NGC 2438
Creators: name: Oettl, S.
name: Kimeswenger, S.
name: Zijlstra, A. A.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: In recent times an increasing number of extended haloes and multiple shells around planetary nebulae have been discovered. These faint extensions to the main nebula trace the mass-loss history of the star, modified by the subsequent evolution of the nebula. Integrated models predict that some haloes may be recombining, and not in ionization equilibrium. But parameters such as the ionization state and thus the contiguous excitation process are not well known. The haloes are very extended, but faint in surface brightness - 10^3 times below the main nebula. The observational limits lead to the need of an extremely well studied main nebula, to model the processes in the shells and haloes of one object. NGC2438 is a perfect candidate to explore the physical characteristics of the halo. Long-slit spectroscopic data were obtained. These data are supplemented by imaging data from the HST archive, and archival VLA observations. The use of diagnostic diagrams draws limits for physical properties in the models. CLOUDY is used to model the nebular properties, and to derive a more accurate distance and ionized mass. We derive an accurate extinction E(B-V)=0.16, and distance of 1.9kpc. This puts the nebula behind the nearby open cluster M46. The low-excitation species are found to be dominated by clumps. The emission line ratios show no evidence for shocks. We find the shell in ionization equilibrium: a significant amount of UV radiation infiltrates the inner nebula. Thus the shell still seems to be ionized. The spatially resolved CLOUDY model supports the hypothesis that photoionization is the dominant process in this nebula, far out into the shell. Previous models predicted that the shell would be recombining, but this is not confirmed by the data. We note that these models used a smaller distance, and therefore different input parameters, than derived by us.
description: Accepted for publication in A&A (13 pages, 15 figures, 8 tables)
title: A la mémoire de Fernand Gervaz, 1902-1951
title: Allocution prononcée par Monsieur le Pasteur Paul Perret le mercredi 8 août 1951 à l'Eglise Française de Zurich
titleType: Subtitle
Creators: name: Perret, Paul
name: Duvoisin, J. L.
Publisher: name: Steno
Year: 1951
Subjects: subject: 920 Biografien, Genealogie, Insignien
subject: Nachruf
subject: Gervaz, Fernand
subject: Zürich
subject: Montreux
subject: Église française Zürich (Zürich)

description: Enthält zudem: Allocution prononcée par Monsieur J. L. Duvoisin, Délégué du Conseil d'Administration et Directeur de l'Esso Standard (Switzerland)
Additional file 1 of Achilles tendon enthesitis evaluated by MRI assessments in patients with axial spondyloarthritis and psoriatic arthritis: a report of the methodology of the ACHILLES trial
Creators: name: Baraliakos, Xenofon
name: Sewerin, Philipp
name: Miguel, Eugenio De
name: Pournara, Effie
name: Kleinmond, Christine
name: Wiedon, Annette
name: Behrens, Frank
Publisher: name: figshare
Year: 2020
Subjects: subject: Biophysics
subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Additional file 1. Study design.
Supplementary document for Holographic image denoising for dense droplet field using conditional diffusion model - 7149422.pdf
Creators: name: Zhang, Hang
name: Wang, Yu
name: Wu, Yingchun
name: Zhang, Letian
name: Wang, Boyi
name: Zhao, Yue
name: Wu, Xuecheng
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: The detail for model configuration and mathematical reasoning.
Geschichte der Bahnhöfe von Dietikon
Creators: name: Hummel, Oscar
Publisher: name: Buch- und Offsetdruckerei Oscar Hummel
Year: 1979
Subjects: subject: 725 Öffentliche Bauwerke
subject: 949 Geschichte anderer Teile Europas
subject: Dietikon
subject: Zweiter Bahnhof Dietikon (Dietikon)
subject: Schweizerische Nordbahn-Gesellschaft
subject: Bahnhof
subject: Bahnhofsarchitektur

description: Mit einer Jahreschronik für Dietikon von November 1977 bis Oktober 1978.
description: Inhalt: Wortlaut des «Kreisschreibens an die löbl. Gemeinderäthe des Bezirkes Zürich» des Gemeinderats Enge vom 25. Juni 1841 ; Schätzungsbericht über die Landabtretungen zur schweizerischen Nordbahn von Zürich bis an die Kantonsgrenze unterhalb Dietikon vom 21. März 1846 ; Schweizerische Eisenbahngeschichte begann in Dietikon ; Stationsgebäude Dietikon in steter Expansion ; Die dritte Generation ; Aus der Baugeschichte.
Additional file 2 of Achilles tendon enthesitis evaluated by MRI assessments in patients with axial spondyloarthritis and psoriatic arthritis: a report of the methodology of the ACHILLES trial
Creators: name: Baraliakos, Xenofon
name: Sewerin, Philipp
name: Miguel, Eugenio De
name: Pournara, Effie
name: Kleinmond, Christine
name: Wiedon, Annette
name: Behrens, Frank
Publisher: name: figshare
Year: 2020
Subjects: subject: Biophysics
subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Additional file 2. MRI sequence parameters.
iid2022: A Workshop on Statistical Methods for Event Data in Astronomy
Creators: name: Feigelson, Eric D.
name: Bonamente, Massimiliano
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We review the iid2022 workshop on statistical methods for X-ray and $γ$-ray astronomy and high--energy astrophysics event data in astronomy, held in Guntersville, AL, on Nov. 15-18 2022. New methods for faint source detection, spatial point processes, variability and spectral analysis, and machine learning are discussed. Ideas for future developments of advanced methodology are shared.
description: 7 pages
Data-Free Likelihood-Informed Dimension Reduction of Bayesian Inverse Problems
Creators: name: Cui, Tiangang
name: Zahm, Olivier
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation (stat.CO)
subject: Numerical Analysis (math.NA)
subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Identifying a low-dimensional informed parameter subspace offers a viable path to alleviating the dimensionality challenge in the sampled-based solution to large-scale Bayesian inverse problems. This paper introduces a novel gradient-based dimension reduction method in which the informed subspace does not depend on the data. This permits an online-offline computational strategy where the expensive low-dimensional structure of the problem is detected in an offline phase, meaning before observing the data. This strategy is particularly relevant for multiple inversion problems as the same informed subspace can be reused. The proposed approach allows controlling the approximation error (in expectation over the data) of the posterior distribution. We also present sampling strategies that exploit the informed subspace to draw efficiently samples from the exact posterior distribution. The method is successfully illustrated on two numerical examples: a PDE-based inverse problem with a Gaussian process prior and a tomography problem with Poisson data and a Besov-$\mathcal{B}^2_{11}$ prior.
10 inventions on Improving Toolbars: A TRIZ based analysis
Creators: name: Mishra, Umakant
Publisher: name: arXiv
Year: 2014
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Toolbar is one among the popular elements of a graphical user interface. The other popular elements of graphical user interface are buttons, menu, scrollbar, dialog box etc., all of which provide easy access to various functions of a GUI System. A toolbar often does a similar function as the menu but with certain differences. A menu has the advantage of holding a large number of items without needing any additional screen space. In contrast, each button on the toolbar permanently occupies some space on the screen. It is not possible to implement large number of functions through a toolbar, as they will occupy more and more valuable screen space. However, the toolbar has an advantage as it gives a single click access to any function unlike a menu system where the user has to navigate through sub-menus to ultimate discover the item he is looking for. This article explores the desired features of a toolbar and the ideal features of an advanced toolbar. The contradictions are described from a TRIZ perspective and solutions are derived using Inventive principles. Besides the article illustrates 10 inventions on improving Toolbars selected from US patent database.
description: 15 pages
Additional file 1 of Research on simulation in radiography education: a scoping review protocol
Creators: name: Vestbøstad, Mona
name: Karlgren, Klas
name: Olsen, Nina Rydland
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Science Policy

description: Additional file 1. PRISMA-P checklist
Determining a priori a RANS model's applicable range via global epistemic uncertainty quantification
Creators: name: Huang, Xinyi
name: Jain, Naman
name: Abkar, Mahdi
name: Kunz, Robert
name: Yang, Xiang
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Calibrating a Reynolds-averaged Navier-Stokes (RANS) model against data leads to an improvement. Determining {\it a priori} if such an improvement generalizes to flows outside the calibration data is an outstanding challenge. This work attempts to address this challenge via global epistemic Uncertainty Quantification (UQ). Unlike the available epistemic UQ methods that are local and tell us a model's uncertainty at one specific flow condition, the global epistemic UQ method presented in this work tells us also whether a perturbation of the original model would generalize. Specifically, the global epistemic UQ method evaluates a potential improvement in terms of its "effectiveness" and "inconsistency". Any improvement can be put in one of the following four quadrants: first, high effectiveness, low inconsistency; second, high effectiveness, high inconsistency; third, low effectiveness, low inconsistency; and fourth, low effectiveness, high inconsistency. An improvement would generalize if and only if it is in the high effectiveness and low inconsistency quadrant. To demonstrate the concept, we apply the global epistemic UQ to full Reynolds stress modeling of a stratified shear layer. The global epistemic UQ results point to a model coefficient in the pressure-strain correlation closure (among others) as effective and consistent for predicting the quantity of interest of shear layer's growth. We calibrate the model coefficient such that our RANS matches direct numerical simulation data at one flow condition. We show that the calibrated model generalizes to several other test flow conditions. On the other hand, when calibrating a high inconsistency term, we get a model that works at only the calibrated condition.
The evolution of the chiral symmetry in cesium isotopes
Creators: name: Chen, Duo
name: Li, Jian
name: Guo, Rui
Publisher: name: arXiv
Year: 2023
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Following the reports of candidate chiral doublet bands observed in cesium isotopes, the possible chiral candidates and the evolution of three-dimensional rotation in $^{120-134}{\textrm{Cs}}$ are investigated within the microscopic three-dimensional tilted axis cranking covariant density functional theory (3DTAC-CDFT). By investigating the evolution of the polar angle $θ$ and azimuth angle $φ$ as a function of rotational frequency $\hbarω$, the transition from the planar rotation to the chiral rotation has been found in $^{121-133}{\textrm{Cs}}$. The corresponding critical rotational frequency $ω_{\textrm{crit}}$ of the appearance of chiral aplanar rotation decreases as neutron number increases, which can be attributed to the neutrons in $(gd)$ and $(sd)$ shells having smaller angular momentum components along both the short and long axes, and larger components along medium axis, respectively. In comparison, only planar rotation has been obtained in $^{120,134}{\textrm{Cs}}$. With these interpretations, the obtained $I\sim\hbarω$ and energy spectra as well as $B(M1)/B(E2)$ values show reasonable agreement with the available experimental data. In addition, the evolution of quadrupole deformation $β$ and triaxial deformation $γ$ are also discussed.
description: 10 pages, 8 figures. arXiv admin note: text overlap with arXiv:1706.06127 by other authors
Stochastic Model Predictive Control for tracking of distributed linear systems with additive uncertainty
Creators: name: Mark, Christoph
name: Liu, Steven
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Systems and Control (eess.SY)
subject: FOS: Mathematics
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, we propose a chance constrained stochastic model predictive control scheme for reference tracking of distributed linear time-invariant systems with additive stochastic uncertainty. The chance constraints are reformulated analytically based on mean-variance information, where we design suitable Probabilistic Reachable Sets for constraint tightening. Furthermore, the chance constraints are proven to be satisfied in closed-loop operation. The design of an invariant set for tracking complements the controller and ensures convergence to arbitrary admissible reference points, while a conditional initialization scheme provides the fundamental property of recursive feasibility. The paper closes with a numerical example, highlighting the convergence to changing output references and empirical constraint satisfaction.
description: Extended version of our ECC 2021 paper
Legal Solutions to Reduce the Environmental Burdens of Disposables. A Comparison of EU, Canadian and Swiss Law
Creators: name: Bühler, Christine
Publisher: name: Zenodo
Year: 2022

description: This thesis compares the legal solutions regulating disposables in the European Union (EU), Canada, and Switzerland. It analyzes whether they explicitly intend or implicitly are capable of reducing environmental burdens caused by producing, using, and disposing of such goods. Contrary to common practice, this thesis advocates the use of the term «disposable» or «throwaway», instead of «single-use», for describing the group of products or goods which have been designed and, thus, intended to be used only once, a few times, or for a short period of time. The research findings illustrate that numerous existing legal solutions are beneficial for preventing environmental harm, yet, many of them should be revised in order to have an even greater impact. None of the three jurisdictions examined provide satisfactory, effective and sufficient legal provisions: Environmental costs generated by manufacturing, using and disposing of disposables are not sufficiently internalized; too few incentives exist for inducing people to replace disposables with reusables; disposables need nowhere be replaced by reusables; there is a great lack of implementation of the waste priority order as well as the principle of sustainability, the precautionary principle, and the polluter pays principle; and the transition to a circular economy is not sufficiently pursued. The three jurisdictions as well as their existing legal solutions are far from best practice with respect to protecting the environment from harm caused by manufacturing, using, and disposing of disposables. Nevertheless, there are certain aspects entailed in some of the existing legal provisions which should be adopted by all three. The findings in this thesis allow the conclusion that the EU, Canada, and Switzerland only have a very fragmented approach and a holistic concept is missing. Moreover, Switzerland is the country lagging behind the most.
description: +UNILU Diss 2022 F3 EL
Material Measurement Units for a Circular Economy: Foundations through a Review
Creators: name: Zocco, Federico
name: McLoone, Seán
name: Smyth, Beatrice
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Long-term availability of minerals and industrial materials is a necessary condition for sustainable development as they are the constituents of any manufacturing product. To enhance the efficiency of material management, we define a computer-vision-enabled material measurement system and provide a review of works relevant to its development with particular emphasis on the foundations. A network of such systems for wide-area material stock monitoring is also covered. Finally, challenges and future research directions are discussed. As the first article bridging industrial ecology and advanced computer vision, this review is intended to support both research communities towards more sustainable manufacturing.
description: Extension and overall improvement of previous version
Is it enough to optimize CNN architectures on ImageNet?
Creators: name: Tuggener, Lukas
name: Schmidhuber, Jürgen
name: Stadelmann, Thilo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Classification performance based on ImageNet is the de-facto standard metric for CNN development. In this work we challenge the notion that CNN architecture design solely based on ImageNet leads to generally effective convolutional neural network (CNN) architectures that perform well on a diverse set of datasets and application domains. To this end, we investigate and ultimately improve ImageNet as a basis for deriving such architectures. We conduct an extensive empirical study for which we train $500$ CNN architectures, sampled from the broad AnyNetX design space, on ImageNet as well as $8$ additional well known image classification benchmark datasets from a diverse array of application domains. We observe that the performances of the architectures are highly dataset dependent. Some datasets even exhibit a negative error correlation with ImageNet across all architectures. We show how to significantly increase these correlations by utilizing ImageNet subsets restricted to fewer classes. These contributions can have a profound impact on the way we design future CNN architectures and help alleviate the tilt we see currently in our community with respect to over-reliance on one dataset.
Microwave Breast Imaging via Neural Networks for Almost Real-time Applications
Creators: name: Ambrosanio, Michele
name: Franceschini, Stefano
name: Pascazio, Vito
name: Baselice, Fabio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Conventional breast cancer imaging techniques are nowadays based on the use of ionising radiations or ultrasound waves for the inspection of breast areas. Nevertheless, these conventional techniques present some drawbacks related to patient safety, processing time and resolution issues. In this framework, microwave imaging can represent a valid alternative or a complementary technique compared to other conventional medical imaging modalities since it is safe (using non-ionising radiations), relatively cheap and more comfortable from patient point of view. Unfortunately, it is slow and computationally expensive, which strongly limit its use in clinical scenarios. In this paper, an artificial neural network for effective and almost real-time breast imaging is proposed. First, a realistic breast-like phantom generator was developed for training the network. Subsequently, numerical analyses have been conducted for the optimisation and the performance evaluation of the approach. The results seem very promising in terms of recovery performance as well as for the computation burden.
description: 10 pages, 7 figures