cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Getting credit for your data: data citation and publication
Creators: name: Callaghan, Sarah
Publisher: name: Zenodo
Year: 2013
Subjects: subject: data and information
subject: ecology and environment
subject: https://id.loc.gov/authorities/subjects/sh85040468.html
subject: https://id.loc.gov/authorities/subjects/sh85084334.html

description: A poster describing data citation and publication and how to get credit for it. Why should I publish and cite data? It's good for science: Allows research to be reproduced and verified. Allows data to be found and understood by other researchers. Encourages collaboration and cross-disciplinary work. Maintains the scientific record. It's good for researchers: Provides attribution and credit for the hard work of creating a dataset. Makes it easier to build in good data management practices. Demonstrates the quality and usefulness of the data (especially for researchers outside the immediate field). Captures information about the data's impact. It's good for funders: Reduces money and effort needed to recreate important datasets. Reassures funders that the data resulting from their funding is useful and archived safely. Captures information about the funder's impact. It's good for data repositories: Encourages researchers to deposit data where it can be archived and curated. Papers linked to the data are an excellent source of metadata. Captures information about the repository's impact.
description: Previously curated at: http://cedadocs.ceda.ac.uk/1161/ The publish date on this item was its original published date. This item was previously associated with content (as an official url) at: http://www.badc.nerc.ac.uk. This work was funded by: Natural Environment Research Council (NERC). Main files in this record: DataPublication_NCAS_StaffMeeting2013_Poster.ppt DataPublication_NCAS_StaffMeeting2013_Poster.pdf Item originally deposited with Centre for Environmental Data Analysis (CEDA) document repository by Miss Hayley Gray. Transferred to CEDA document repository community on Zenodo on 2022-11-24
Constructing a Non-Negative Low Rank and Sparse Graph with Data-Adaptive Features
Creators: name: Zhuang, Liansheng
name: Gao, Shenghua
name: Tang, Jinhui
name: Wang, Jingjing
name: Lin, Zhouchen
name: Ma, Yi
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper aims at constructing a good graph for discovering intrinsic data structures in a semi-supervised learning setting. Firstly, we propose to build a non-negative low-rank and sparse (referred to as NNLRS) graph for the given data representation. Specifically, the weights of edges in the graph are obtained by seeking a nonnegative low-rank and sparse matrix that represents each data sample as a linear combination of others. The so-obtained NNLRS-graph can capture both the global mixture of subspaces structure (by the low rankness) and the locally linear structure (by the sparseness) of the data, hence is both generative and discriminative. Secondly, as good features are extremely important for constructing a good graph, we propose to learn the data embedding matrix and construct the graph jointly within one framework, which is termed as NNLRS with embedded features (referred to as NNLRS-EF). Extensive experiments on three publicly available datasets demonstrate that the proposed method outperforms the state-of-the-art graph construction method by a large margin for both semi-supervised classification and discriminative analysis, which verifies the effectiveness of our proposed method.
Myocardin regulates exon usage in smooth muscle cells through induction of splicing regulatory factors.
Creators: name: Liu, Li
name: Kryvokhyzha, Dmytro
name: Rippe, Catarina
name: Jacob, Aishwarya
name: Borreguero-Muñoz, Andrea
name: Stenkula, Karin G
name: Hansson, Ola
name: Smith, Christopher WJ
name: Fisher, Steven A
name: Swärd, Karl
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Original Article
Splicing code
Actin-binding
Focal adhesion
Heart
Differentiation

description: Funder: Lund University
description: Differentiation of smooth muscle cells (SMCs) depends on serum response factor (SRF) and its co-activator myocardin (MYOCD). The role of MYOCD for the SMC program of gene transcription is well established. In contrast, the role of MYOCD in control of SMC-specific alternative exon usage, including exon splicing, has not been explored. In the current work we identified four splicing factors (MBNL1, RBPMS, RBPMS2, and RBFOX2) that correlate with MYOCD across human SMC tissues. Forced expression of MYOCD family members in human coronary artery SMCs in vitro upregulated expression of these splicing factors. For global profiling of transcript diversity, we performed RNA-sequencing after MYOCD transduction. We analyzed alternative transcripts with three different methods. Exon-based analysis identified 1637 features with differential exon usage. For example, usage of 3´ exons in MYLK that encode telokin increased relative to 5´ exons, as did the 17 kDa telokin to 130 kDa MYLK protein ratio. Dedicated event-based analysis identified 239 MYOCD-driven splicing events. Events involving MBNL1, MCAM, and ACTN1 were among the most prominent, and this was confirmed using variant-specific PCR analyses. In support of a role for RBPMS and RBFOX2 in MYOCD-driven splicing we found enrichment of their binding motifs around differentially spliced exons. Moreover, knockdown of either RBPMS or RBFOX2 antagonized splicing events stimulated by MYOCD, including those involving ACTN1, VCL, and MBNL1. Supporting an in vivo role of MYOCD-SRF-driven splicing, we demonstrate altered Rbpms expression and splicing in inducible and SMC-specific Srf knockout mice. We conclude that MYOCD-SRF, in part via RBPMS and RBFOX2, induce a program of differential exon usage and alternative splicing as part of the broader program of SMC differentiation.
Strong Spin Hall Effect in the Antiferromagnet PtMn
Creators: name: Ou, Yongxi
name: Shi, Shengjie
name: Ralph, D. C.
name: Buhrman, R. A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Effectively manipulating magnetism in ferromagnet (FM) thin film nanostructures with an in-plane current has become feasible since the determination of a 'giant' spin Hall effect (SHE) in certain heavy metal (HM)/FM system. Recently, both theoretical and experimental reports indicate that the non-collinear and collinear metallic antiferromagnet (AF) materials can have both a large anomalous Hall effect (AHE) and a strong SHE. Here we report a systematic study of the SHE in PtMn with several PtMn/FM systems. By using interface engineering to reduce the 'spin memory loss' we obtain a spin torque efficiency as large as 0.24. This is more than twice the previously reported spin torque efficiency for PtMn. We also find that the apparent spin diffusion length in PtMn is surprisingly long (about 2.3nm).
description: 30 pages, 7 figures, 1 Table
Allium moschatum Linnaeus 1753
Creators: name: Jarvis, Charlie
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Liliopsida
Asparagales
Amaryllidaceae
Allium
Allium moschatum

description: Allium moschatum Linnaeus, Species Plantarum 1: 298. 1753. "Habitat in GalloProvinciae, Narbonae, Hispaniae apricis elevatis." RCN: 361. Lectotype (Pastor & Valdés, Revis. Gen. Allium Penins. Iber. Islas Baleares: 98. 1983): Herb. Burser III: 111, right specimen (UPS). Current name:  Allium moschatum L. (Liliaceae / Alliaceae). Note: De Wilde-Duyfjes (in Taxon 22: 70. 1973) incorrectly designated material in Herb. Bauhin, "Moly moschatum capillaceo folio" (BAS), not seen by Linnaeus, as lectotype. Pastor & Valdés (in Rev. Gen. Allium Penins. Iber. Islas Balear.: 98. 1983) therefore rejected this choice, designating Burser material as the lectotype instead. However, López González (in Anales Jard. Bot. Madrid 57: 195-197 1999) demonstrates rather convincingly, based on correspondence between Löfling and Linnaeus, that the name was predominantly based on Löfling 253 (now lost). He argues that Burser III: 111 conflicts with the diagnosis that Linnaeus attributed to Löfling, and cannot be its type. He concludes that A. pallens L. (1762) is a synonym of A. moschatum L., and that A. capillare Cav. is the correct name for A. moschatum L. (1762), non Loefl. ex L. (1753). He suggests that usage of A. moschatum could be maintained by a conservation proposal based on Burser III: 111.
description: Published as part of Jarvis, Charlie, 2007, Chapter 7: Linnaean Plant Names and their Types (part A), pp. 252-342 in Order out of Chaos. Linnaean Plant Types and their Types, London :Linnaean Society of London in association with the Natural History Museum on pages 276-277, DOI: 10.5281/zenodo.291971
On quantum percolation in finite regular graphs
Creators: name: Bordenave, Charles
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mathematical Physics (math-ph)
subject: Probability (math.PR)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 82B43, 60B20, O5C80

description: The aim of this paper is twofold. First, we study eigenvalues and eigenvectors of the adjacency matrix of a bond percolation graph when the base graph is finite and well approximated locally by an infinite regular graph. We relate quantitatively the empirical measure of the eigenvalues and the delocalization of the eigenvectors to the spectrum of the adjacency operator of the percolation on the infinite graph. Secondly, we prove that percolation on an infinite regular tree with degree at least $3$ preserves the existence of an absolutely continuous spectrum if the removal probability is small enough. These two results are notably relevant for bond percolation on a uniformly sampled regular graph or a Cayley graph with large girth.
description: 33 pages
Non-alcoholic fatty liver is associated with increased risk of irritable bowel syndrome: a prospective cohort study.
Creators: name: Wu, Shanshan
name: Yuan, Changzheng
name: Yang, Zhirong
name: Liu, Si
name: Zhang, Qian
name: Zhang, Shutian
name: Zhu, Shengtao
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Research Article
Taking the challenge: Food sensitivity, intolerance and altered microbiota in irritable bowel syndrome
Non-alcoholic fatty liver disease
Irritable bowel syndrome
Cohort study

description: BACKGROUND: The relationship between non-alcoholic fatty liver degree as well as non-alcoholic fatty liver disease (NAFLD) and irritable bowel syndrome (IBS) remains poorly understood. We aimed to investigate the prospective association of non-alcoholic fatty liver degree as well as NAFLD with incident IBS in a large-scale population-based cohort. METHODS: Participants free of IBS, coeliac disease, inflammatory bowel disease, alcoholic liver disease, and any cancer at baseline from the UK Biobank were included. Non-alcoholic fatty liver degree was measured by a well-validated fatty liver index (FLI), with FLI ≥ 60 as an indicator of NAFLD. Primary outcome was incident IBS. Cox proportional hazard model was used to investigate the associated risk of incident IBS. RESULTS: Among 396,838 participants (mean FLI was 48.29 ± 30.07), 153,203(38.6%) were with NAFLD diagnosis at baseline. During a median of 12.4-year follow-up, 7129 cases of incident IBS were identified. Compared with non-NAFLD, NAFLD patients showed a 13% higher risk of developing IBS (HR = 1.13, 95%CI: 1.05-1.17) after multivariable adjustment. Compared with the lowest, the highest FLI quartile was associated with a significantly increased risk of IBS (HRQ4 VS Q1 = 1.21, 1.13-1.30, Ptrend < 0.001). Specifically, the positive association between non-alcoholic fatty liver degree and IBS was also observed by per SD change of FLI (adjusted HR = 1.08, 1.05-1.10). Further sensitivity analysis and subgroup analysis indicated similar results, with the positive association particularly observed in females, but not in males. CONCLUSIONS: High degree of non-alcoholic fatty liver as well as non-alcoholic fatty liver disease is associated with increased risk of incident IBS. Further studies are warranted to confirm the findings and elucidate the underlying biological mechanisms.
Galesus (Schizogalesus) mayeti var. hispanicus Kieffer 1911
Creators: name: Notton, David G.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Diapriidae
Galesus
Galesus mayeti
Galesus (schizogalesus) mayeti var. hispanicus kieffer, 1911a: 845

description: Galesus (Schizogalesus) mayeti var. hispanicus Kieffer, 1911a: 845.
Valid name
Coptera hispanica (Kieffer, 1911).
Summary of types
Syntype ♀, BMNH number 9.651.
Primary type data
Giberalter [sic]; Type; Gibraltar; 401.; Cameron Coll./ 1910-55.; mayeti K. v./ hispanicus K.
Type locality
Gibraltar.
Remarks
This species was described from an unspecified number of females. The syntype is mounted on a card and the left fore tarsus is disarticulated.
description: Published as part of Notton, David G., 2014, A catalogue of the types of Diapriinae (Hymenoptera, Diapriidae) at the Natural History Museum, London, pp. 1-123 in European Journal of Taxonomy 75 on page 58, DOI: 10.5852/ejt.2014.75, http://zenodo.org/record/3862773
Metafor: Common metadata for climate modelling digital repositories
Creators: name: Callaghan, Sarah
name: Pascoe, Charlotte L
name: Guilyardi, Eric
Publisher: name: Zenodo
Year: 2010
Subjects: subject: data and information
subject: computer science
subject: https://id.loc.gov/authorities/subjects/sh85040468.html
subject: https://id.loc.gov/authorities/subjects/sh85084334.html

description: A poster about common metadata for climate modelling repositories. More people than ever now have a need to discover the results of climate models in order to prepare for and mitigate against the potentially severe impacts of global climate change. But climate modelling is a complex process, which requires accurate and complete metadata (data describing data) in order to identify, assess and use the climate data stored in digital repositories. Simulations have a key role in constructing understanding and producing predictions in climate science. But it can be difficult to discriminate between two simulations, even when you were responsible for producing them! Existing documentation currently revolves around (at best) the runtime, but not the scientific detail and relevance of the model components. There is little or no documentation of the "simulation context" (the whys and wherefores and issues associated with any particular simulation).
description: Previously curated at: http://cedadocs.ceda.ac.uk/1162/ The publish date on this item was its original published date. This work was funded by: European Comission; and, METAFOR is funded by the EU 7th Framework Programme as an e-infrastructure (project # 211753). Main files in this record: ECRI2010_Metafor_Edit.ppt Item originally deposited with Centre for Environmental Data Analysis (CEDA) document repository by Dr Charlotte L Pascoe. Transferred to CEDA document repository community on Zenodo on 2022-11-24
Chiral Spin Liquid and Quantum Criticality in Extended $S=1/2$ Heisenberg Models on the Triangular Lattice
Creators: name: Wietek, Alexander
name: Läuchli, Andreas M.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We investigate the $J_1$-$J_2$ Heisenberg model on the triangular lattice with an additional scalar chirality term and show that a chiral spin liquid is stabilized in a sizeable region of the phase diagram. This topological phase is situated in between a coplanar $120^\circ$ Néel ordered and a non-coplanar tetrahedrally ordered phase. Furthermore we discuss the nature of the spin-disordered intermediate phase in the $J_1$-$J_2$ model. We compare the groundstates from Exact Diagonalization with a Dirac spin liquid wavefunction and propose a scenario where this wavefunction describes the quantum critical point between the $120^\circ$ magnetically ordered phase and a putative $\mathbb{Z}_2$ spin liquid.
description: 6 pages, 5 figures (+ supp. mat.)
Stochastic processes via the pathway model
Creators: name: Mathai, A. M.
name: Haubold, H. J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Methodology (stat.ME)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: After collecting data from observations or experiments, the next step is to build an appropriate mathematical or stochastic model to describe the data so that further studies can be done with the help of the models. In this article, the input-output type mechanism is considered first, where reaction, diffusion, reaction-diffusion, and production-destruction type physical situations can fit in. Then techniques are described to produce thicker or thinner tails (power law behavior) in stochastic models. Then the pathway idea is described where one can switch to different functional forms of the probability density function) through a parameter called the pathway parameter.
description: 15 pages, 7 figures, LaTeX
Planck-scale gravity test at PETRA -- Letter of Intent
Creators: name: Gharibyan, Vahagn
name: Balewski, Klaus
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: Quantum or torsion gravity models predict unusual properties of space-time at very short distances. In particular, near the Planck length, around $10^{-35}m$, empty space may behave as a crystal, singly or doubly refractive. This hypothesis, however, remains uncheckable for any direct measurement since the smallest distance accessible in experiment is about $10^{-19}m$ at the LHC. Here we propose a laboratory test to measure space birefringence or refractivity induced by gravity. A sensitivity $10^{-31}m$ for doubly and $10^{-28}m$ for singly refractive vacuum could be reached with PETRA 6 GeV beam exploring UV laser Compton scattering.
description: 11 figures, 8 tables; method is proposed by arXiv:1207.7297
Phase Transitions in Spectral Community Detection
Creators: name: Chen, Pin-Yu
name: Hero, Alfred O.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Consider a network consisting of two subnetworks (communities) connected by some external edges. Given the network topology, the community detection problem can be cast as a graph partitioning problem that aims to identify the external edges as the graph cut that separates these two subnetworks. In this paper, we consider a general model where two arbitrarily connected subnetworks are connected by random external edges. Using random matrix theory and concentration inequalities, we show that when one performs community detection via spectral clustering there exists an abrupt phase transition as a function of the random external edge connection probability. Specifically, the community detection performance transitions from almost perfect detectability to low detectability near some critical value of the random external edge connection probability. We derive upper and lower bounds on the critical value and show that the bounds are equal to each other when two subnetwork sizes are identical. Using simulated and experimental data we show how these bounds can be empirically estimated to validate the detection reliability of any discovered communities.
description: 9 pages, 4 figures, submitted to IEEE Trans. on Signal Processing. arXiv admin note: text overlap with arXiv:1504.02412
Allium nigrum Linnaeus 1762
Creators: name: Jarvis, Charlie
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Liliopsida
Asparagales
Amaryllidaceae
Allium
Allium nigrum

description: Allium nigrum Linnaeus, Species Plantarum, ed. 2, 1: 430. 1762, nom. cons. "Habitat in Algiriae inque Galloprovincia." RCN: 2371. Conserved type (Seisums in Taxon 47: 745. 1998): Cyprus. 1-2km NE of Lyso, 10km SE of Polis (Akmas), 450m, 14 Apr 1979, Edmondson & McClintock 2822 (K; iso- E). Current name:  Allium nigrum L. (Liliaceae / Alliaceae).
description: Published as part of Jarvis, Charlie, 2007, Chapter 7: Linnaean Plant Names and their Types (part A), pp. 252-342 in Order out of Chaos. Linnaean Plant Types and their Types, London :Linnaean Society of London in association with the Natural History Museum on page 277, DOI: 10.5281/zenodo.291971
A generalized flow for multi-class and binary classification tasks: An Azure ML approach
Creators: name: Bihis, Matthew
name: Roychowdhury, Sohini
Publisher: name: arXiv
Year: 2016
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The constant growth in the present day real-world databases pose computational challenges for a single computer. Cloud-based platforms, on the other hand, are capable of handling large volumes of information manipulation tasks, thereby necessitating their use for large real-world data set computations. This work focuses on creating a novel Generalized Flow within the cloud-based computing platform: Microsoft Azure Machine Learning Studio (MAMLS) that accepts multi-class and binary classification data sets alike and processes them to maximize the overall classification accuracy. First, each data set is split into training and testing data sets, respectively. Then, linear and nonlinear classification model parameters are estimated using the training data set. Data dimensionality reduction is then performed to maximize classification accuracy. For multi-class data sets, data centric information is used to further improve overall classification accuracy by reducing the multi-class classification to a series of hierarchical binary classification tasks. Finally, the performance of optimized classification model thus achieved is evaluated and scored on the testing data set. The classification characteristics of the proposed flow are comparatively evaluated on 3 public data sets and a local data set with respect to existing state-of-the-art methods. On the 3 public data sets, the proposed flow achieves 78-97.5% classification accuracy. Also, the local data set, created using the information regarding presence of Diabetic Retinopathy lesions in fundus images, results in 85.3-95.7% average classification accuracy, which is higher than the existing methods. Thus, the proposed generalized flow can be useful for a wide range of application-oriented "big data sets".
description: 10 pages, 7 figures, Conference
Quantum phase estimation using a multi-headed cat state
Creators: name: Lee, Su-Yong
name: Lee, Chang-Woo
name: Nha, Hyunchul
name: Kaszlikowski, Dagomir
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: It was recently shown that an entangled coherent state, which is a superposition of two different coherent states, can surpass the performance of noon state in estimating an unknown phase-shift. This may hint at further enhancement in phase estimation by incorporating more component states in the superposition of resource state. We here introduce a four-headed cat state (4HCS), a superposition of four different coherent states, and propose its application to quantum phase estimation. We demonstrate the enhanced performance in phase estimation by employing an entangled state via the 4HCS, which can surpass that of the two-headed cat state (2HCS), particularly in the regime of small average photon numbers. Moreover, we show that an entangled state modified from the 4HCS can further enhance the phase estimation, even in the regime of large average photon number under a photon-loss channel. Our investigation further extends to incorporate an increasingly large number of component states in the resource superposition state and clearly show its merit in phase estimation.
description: 7+ pages, 4 figures, published version
Robust Linear Regression Analysis - A Greedy Approach
Creators: name: Papageorgiou, George
name: Bouboulis, Pantelis
name: Theodoridis, Sergios
name: Themelis, Kostantinos
Publisher: name: arXiv
Year: 2014
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: The task of robust linear estimation in the presence of outliers is of particular importance in signal processing, statistics and machine learning. Although the problem has been stated a few decades ago and solved using classical (considered nowadays) methods, recently it has attracted more attention in the context of sparse modeling, where several notable contributions have been made. In the present manuscript, a new approach is considered in the framework of greedy algorithms. The noise is split into two components: a) the inlier bounded noise and b) the outliers, which are explicitly modeled by employing sparsity arguments. Based on this scheme, a novel efficient algorithm (Greedy Algorithm for Robust Denoising - GARD), is derived. GARD alternates between a least square optimization criterion and an Orthogonal Matching Pursuit (OMP) selection step that identifies the outliers. The case where only outliers are present has been studied separately, where bounds on the \textit{Restricted Isometry Property} guarantee that the recovery of the signal via GARD is exact. Moreover, theoretical results concerning convergence as well as the derivation of error bounds in the case of additional bounded noise are discussed. Finally, we provide extensive simulations, which demonstrate the comparative advantages of the new technique.
Patterns of precipitation: fine scale rain dynamics in South of England
Creators: name: Callaghan, Sarah
Publisher: name: Zenodo
Year: 2010
Subjects: subject: data and information
subject: computer science
subject: https://id.loc.gov/authorities/subjects/sh85040468.html
subject: https://id.loc.gov/authorities/subjects/sh85084334.html

description: A poster to show the patterns of precipitation on a fine scale dynamic
description: Previously curated at: http://cedadocs.ceda.ac.uk/1163/ The publish date on this item was its original published date. This item was previously associated with content (as an official url) at: http://badc.nerc.ac.uk. This work was funded by: Natural Environment Research Council (NERC); and, Science and Technology Facilities Council (STFC). Main files in this record: EGU2010_Rain_landscape.ppt EGU2010_Rain_landscape.pdf Item originally deposited with Centre for Environmental Data Analysis (CEDA) document repository by Miss Hayley Gray. Transferred to CEDA document repository community on Zenodo on 2022-11-24
Hyperspectral and Multispectral Image Fusion based on a Sparse Representation
Creators: name: Wei, Qi
name: Bioucas-Dias, José
name: Dobigeon, Nicolas
name: Tourneret, Jean-Yves
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: This paper presents a variational based approach to fusing hyperspectral and multispectral images. The fusion process is formulated as an inverse problem whose solution is the target image assumed to live in a much lower dimensional subspace. A sparse regularization term is carefully designed, relying on a decomposition of the scene on a set of dictionaries. The dictionary atoms and the corresponding supports of active coding coefficients are learned from the observed images. Then, conditionally on these dictionaries and supports, the fusion problem is solved via alternating optimization with respect to the target image (using the alternating direction method of multipliers) and the coding coefficients. Simulation results demonstrate the efficiency of the proposed algorithm when compared with the state-of-the-art fusion methods.
Allium nutans Linnaeus 1753
Creators: name: Jarvis, Charlie
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Liliopsida
Asparagales
Amaryllidaceae
Allium
Allium nutans

description: Allium nutans Linnaeus, Species Plantarum 1: 299. 1753. "Habitat in Sibiria." RCN: 2367. Type not designated. Original material: Amman 6, Herb. Linn. No. 419.23 (LINN); Herb. Linn. No. 138.14 (S); [icon] in Gmelin, Fl. Sibirica 1: 55, t. 12. 1747. Current name:  Allium nutans L. (Liliaceae / Alliaceae).
description: Published as part of Jarvis, Charlie, 2007, Chapter 7: Linnaean Plant Names and their Types (part A), pp. 252-342 in Order out of Chaos. Linnaean Plant Types and their Types, London :Linnaean Society of London in association with the Natural History Museum on page 277, DOI: 10.5281/zenodo.291971
Comment on "The Tropospheric Land-Sea Warming Contrast as the Driver of Tropical Sea Level Pressure Changes" by Bayr and Dommenget
Creators: name: Makarieva, A. M.
name: Gorshkov, V. G.
name: Nefiodov, A. V.
name: Sheil, D.
name: Nobre, A. D.
name: Li, B. -L.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: T Bayr and D Dommenget [J. Climate 26 (2013) 1387] proposed a model of temperature-driven air redistribution to quantify the ratio between changes of sea level pressure $p_s$ and mean tropospheric temperature $T_a$ in the tropics. This model assumes that the height of the tropical troposphere is isobaric. Here problems with this model are identified. A revised relationship between $p_s$ and $T_a$ is derived governed by two parameters -- the isobaric and isothermal heights -- rather than just one. Further insight is provided by the model of R S Lindzen and S Nigam [J. Atmos. Sci. 44 (1987) 2418], which was the first to use the concept of isobaric height to relate tropical $p_s$ to air temperature, and did this by assuming that isobaric height is always around 3 km and isothermal height is likewise near constant. Observational data, presented here, show that neither of these heights is spatially universal nor do their mean values match previous assumptions. Analyses show that the ratio of the long-term changes in $p_s$ and $T_a$ associated with land-sea temperature contrasts in a warming climate -- the focus of Bayr and Dommenget [2013] -- is in fact determined by the corresponding ratio of spatial differences in the annual mean $p_s$ and $T_a$. The latter ratio, reflecting lower pressure at higher temperature in the tropics, is dominated by meridional pressure and temperature differences rather than by land-sea contrasts. Considerations of isobaric heights are shown to be unable to predict either spatial or temporal variation in $p_s$. As noted by Bayr and Dommenget [2013], the role of moisture dynamics in generating sea level pressure variation remains in need of further theoretical investigations.
description: 26 pages, 11 figures. arXiv admin note: text overlap with arXiv:1404.1011
The hand-made tail: non-perturbative tails from multifield inflation
Creators: name: Achúcarro, A
name: Céspedes, S
name: Davis, AC
name: Palma, GA
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Regular Article - Theoretical Physics
Cosmology of Theories BSM
Effective Field Theories
Renormalization Group

description: Abstract It is becoming increasingly clear that large but rare fluctuations of the primordial curvature field, controlled by the tail of its probability distribution, could have dramatic effects on the current structure of the universe — e.g. via primordial black-holes. However, the use of standard perturbation theory to study the evolution of fluctuations during inflation fails in providing a reliable description of how non-linear interactions induce non-Gaussian tails. Here, we use the stochastic inflation formalism to study the non-perturbative effects from multi-field fluctuations on the statistical properties of the primordial curvature field. Starting from the effective action describing multi-field fluctuations, we compute the joint probability density function and show that enhanced non-Gaussian tails are a generic feature of slow-roll inflation with additional degrees of freedom.
Data citation and publication by the UK's NERC data centres
Creators: name: Callaghan, Sarah
name: Cunningham, Nathan
name: Thorley, Mark
name: Lowry, Roy
name: Moncoiffe, Gwen
Publisher: name: Zenodo
Year: 2011
Subjects: subject: data and information
subject: computer science
subject: https://id.loc.gov/authorities/subjects/sh85040468.html
subject: https://id.loc.gov/authorities/subjects/sh85084334.html

description: A poster describing data citation and publication by the NERC data centres. The UK's Natural Environment Research Council (NERC) funds six data centres which between them have responsibility for the long-term management of NERC's environmental data holdings. The NERC Science Information Strategy (SIS) has been created to provide the framework for NERC to work more closely and effectively with its scientific communities in delivering data and information management services.
description: Previously curated at: http://cedadocs.ceda.ac.uk/1164/ The publish date on this item was its original published date. This item was previously associated with content (as an official url) at: http://www.nerc.ac.uk. This work was funded by: Natural Environment Research Council (NERC). Main files in this record: EGU2011_DataCitation_landscape.ppt EGU2011_DataCitation_landscape.pdf Item originally deposited with Centre for Environmental Data Analysis (CEDA) document repository by Miss Hayley Gray. Transferred to CEDA document repository community on Zenodo on 2022-11-24
Rechtsschutz wegen Luftreinhalteplänen und Konsequenzen für Klimaschutzklagen
Creators: name: Frenz, Walter
Publisher: name: RWTH Aachen University
Year: 2022

description: Arbeitstagung / Arbeitsgemeinschaft für Verwaltungsrecht im Deutschen Anwaltverein, Tangermünde, Germany, 13 May 2022 - 13 May 2022; 10 Folien (2022).
Dualities from dualities: the sequential deconfinement technique
Creators: name: Bottini, LE
name: Hwang, C
name: Pasquetti, S
name: Sacchi, M
Publisher: name: Apollo - University of Cambridge Repository
Year: 2022
Subjects: Regular Article - Theoretical Physics
Duality in Gauge Field Theories
Supersymmetric Gauge Theory
Supersymmetry and Duality

description: Abstract It is an interesting question whether a given infra-red duality between quantum field theories can be explained in terms of other more elementary dualities. For example recently it has been shown that mirror dualities can be obtained by iterative applications of Seiberg-like dualities. In this paper we continue this line of investigation focusing on theories with tensor matter. In such cases one can apply the idea of deconfinement, which consists of trading the tensor matter for extra gauge nodes by means of a suitable elementary duality. This gives an auxiliary dual frame which can then be manipulated with further dualizations, in an iterative procedure eventually yielding an interesting dual description of the original theory. The sequential deconfinement technique has avatars in different areas of mathematical physics, such as the study of hypergeometric and elliptic hypergeometric integral identities or of 2d free field correlators. We discuss various examples in the context 4d$$ \mathcal{N} $$ N = 1 supersymmetric theories, which are related to elliptic hypergeometric integrals. These include a new self-duality involving a quiver theory which exhibits a non-trivial global symmetry enhancement to E6.
Allium obliquum Linnaeus 1753
Creators: name: Jarvis, Charlie
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Liliopsida
Asparagales
Amaryllidaceae
Allium
Allium obliquum

description: Allium obliquum Linnaeus, Species Plantarum 1: 296. 1753. "Habitat in Sibiria." RCN: 2351. Lectotype (Friesen in Feddes Repert. 106: 74. 1995): Herb. Linn. No. 419.7 (LINN). Current name:  Allium obliquum L. (Liliaceae / Alliaceae).
description: Published as part of Jarvis, Charlie, 2007, Chapter 7: Linnaean Plant Names and their Types (part A), pp. 252-342 in Order out of Chaos. Linnaean Plant Types and their Types, London :Linnaean Society of London in association with the Natural History Museum on page 277, DOI: 10.5281/zenodo.291971
Gap plasmonics of silver nanocube dimers
Creators: name: Knebl, Dario
name: Hörl, Anton
name: Trügler, Andreas
name: Kern, Johannes
name: Krenn, Joachim R.
name: Puschnig, Peter
name: Hohenester, Ulrich
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We theoretically investigate gap plasmons for two silver nanocubes coupled through a molecular tunnel junction. In absence of tunneling, the red-shift of the bonding mode saturates with decreasing gap distance. Tunneling at small gap distances leads to a damping and slight blue-shift of the bonding mode, but no low-energy charge transfer plasmon mode appears in the spectra. This finding is in stark contrast to recent work of Tan et al. [Science 343, 1496 (2014)].
description: 5 pages, 4 figures
Supporting the climate community by providing common metadata for climate modelling digital repositories: The metafor project
Creators: name: Callaghan, Sarah
name: Morgan, Mark
name: Guilyardi, Eric
name: Vaicke, Sophie
name: Pascoe, Charlotte L
name: Lawrence, Bryan N
name: Allas, Antoinette
name: Balaji, V
name: Bentley, Phil
name: Bojariu, Roxana
name: Budich, Reinhard
name: Cofino, Antonio S
name: DeLuca, Cecilia
name: Denvil, Sebastien
name: Devine, Gerry M
name: Doblas Reyes, Francisco J
name: Dunlap, Rocky
name: Elkington, Mark
name: Fairhead, Laurent
name: Ford, Rupert
name: Fusco, Luigi
name: Hazeleger, Wilco
name: Henderson, Ian
name: Kindermann, Stephen
name: Kolaninski, Michel
name: Lautenschlager, Michael
name: Moine, Marie-Pierre
name: Murphy, Sylvia
name: Ramthun, Hans
name: Riley, Graham
name: Slavin, Paul
name: Steenman-Clark, Lois
name: Stock, Kristin
name: Taylor, Karl
name: Toussaint, Frank
name: Treshansky, Allyn
Publisher: name: Zenodo
Year: 2011
Subjects: subject: data and information
subject: computer science
subject: https://id.loc.gov/authorities/subjects/sh85040468.html
subject: https://id.loc.gov/authorities/subjects/sh85084334.html

description: A poster to highlight common metadata for climate modelling repositories to support the climate community. There is more interest than ever in the results of climate models; users are no longer limited to the scientific and academic communities, and can now be found in as diverse areas as local government, policy and the general public. Climate modeling is a complex process, which requires accurate and complete metadata (data describing data) in order to identify, assess and use the climate data stored in digital repositories and made available to these users.
description: Previously curated at: http://cedadocs.ceda.ac.uk/1165/ Contact for resource: support@ceda.ac.uk. The publish date on this item was its original published date. This work was funded by: European Comission; and, METAFOR is funded by the EU 7th Framework Programme as an e-infrastructure (project # 211753). Main files in this record: EGU2011_MetaforOverview_landscape.pdf EGU2011_MetaforOverview_landscape.ppt Item originally deposited with Centre for Environmental Data Analysis (CEDA) document repository by Miss Hayley Gray. Transferred to CEDA document repository community on Zenodo on 2022-11-24
Classification of Large-Scale Fundus Image Data Sets: A Cloud-Computing Framework
Creators: name: Roychowdhury, Sohini
Publisher: name: arXiv
Year: 2016
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Large medical image data sets with high dimensionality require substantial amount of computation time for data creation and data processing. This paper presents a novel generalized method that finds optimal image-based feature sets that reduce computational time complexity while maximizing overall classification accuracy for detection of diabetic retinopathy (DR). First, region-based and pixel-based features are extracted from fundus images for classification of DR lesions and vessel-like structures. Next, feature ranking strategies are used to distinguish the optimal classification feature sets. DR lesion and vessel classification accuracies are computed using the boosted decision tree and decision forest classifiers in the Microsoft Azure Machine Learning Studio platform, respectively. For images from the DIARETDB1 data set, 40 of its highest-ranked features are used to classify four DR lesion types with an average classification accuracy of 90.1% in 792 seconds. Also, for classification of red lesion regions and hemorrhages from microaneurysms, accuracies of 85% and 72% are observed, respectively. For images from STARE data set, 40 high-ranked features can classify minor blood vessels with an accuracy of 83.5% in 326 seconds. Such cloud-based fundus image analysis systems can significantly enhance the borderline classification performances in automated screening systems.
description: 4 pages, 6 figures, [Submitted], 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2016
Allium ramosum Linnaeus 1753
Creators: name: Jarvis, Charlie
Publisher: name: Zenodo
Year: 2007
Subjects: Biodiversity
Taxonomy
Plantae
Tracheophyta
Liliopsida
Asparagales
Amaryllidaceae
Allium
Allium ramosum

description: Allium odorum Linnaeus, Systema Naturae, ed. 12, 2: 239; Mantissa Plantarum: 62. 1767. "Habitat in Europa australi." RCN: 2372. Type not designated. Original material: none traced. Current name:  Allium ramosum L. (Liliaceae / Alliaceae). Note: See comments by Stearn (in Herbertia 11: 229. 1946).
description: Published as part of Jarvis, Charlie, 2007, Chapter 7: Linnaean Plant Names and their Types (part A), pp. 252-342 in Order out of Chaos. Linnaean Plant Types and their Types, London :Linnaean Society of London in association with the Natural History Museum on page 277, DOI: 10.5281/zenodo.291971
Analyzing sparse dictionaries for online learning with kernels
Creators: name: Honeine, Paul
Publisher: name: arXiv
Year: 2014
Subjects: subject: Machine Learning (stat.ML)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Information Theory (cs.IT)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Many signal processing and machine learning methods share essentially the same linear-in-the-parameter model, with as many parameters as available samples as in kernel-based machines. Sparse approximation is essential in many disciplines, with new challenges emerging in online learning with kernels. To this end, several sparsity measures have been proposed in the literature to quantify sparse dictionaries and constructing relevant ones, the most prolific ones being the distance, the approximation, the coherence and the Babel measures. In this paper, we analyze sparse dictionaries based on these measures. By conducting an eigenvalue analysis, we show that these sparsity measures share many properties, including the linear independence condition and inducing a well-posed optimization problem. Furthermore, we prove that there exists a quasi-isometry between the parameter (i.e., dual) space and the dictionary's induced feature space.
description: 10 pages
A multicaloric material as a link between electrocaloric and magnetocaloric refrigeration
Creators: name: Ursic, Hana
name: Bobnar, Vid
name: Malic, Barbara
name: Filipic, Cene
name: Vrabelj, Marko
name: Drnovsek, Silvo
name: Jo, Younghun
name: Wencka, Magdalena
name: Kutnjak, Zdravko
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The existence and feasibility of the multicaloric, polycrystalline material 0.8Pb(Fe1/2Nb1/2)O3-0.2Pb(Mg1/2W1/2)O3, exhibiting magnetocaloric and electrocaloric properties, are demonstrated. Both the electrocaloric and magnetocaloric effects are observed over a broad temperature range below room temperature. The maximum magnetocaloric temperature change of ~0.26 K is obtained with a magnetic-field amplitude of 70 kOe at a temperature of 5 K, while the maximum electrocaloric temperature change of ~0.25 K is obtained with an electric-field amplitude of 60 kV/cm at a temperature of 180 K. The material allows a multicaloric cooling mode or a separate caloric-modes operation depending on the origin of the external field and the temperature at which the field is applied.
title: Continuous group cohomology and Ext-groups
Creators: name: Fust, Paulina
Publisher: name: Mathematisches Institut (Universität Münster)
Year: 2023
Subjects: subject: 510 Mathematics

description: We prove that the continuous group cohomology groups of a locally profinite group G with coefficients in a smooth k-representation Pi of G are isomorphic to the Ext-groups Ext(i/G)(1, Pi) computed in the category of smooth k-representations of G. We apply this to show that if Pi is a supersingular Fp-representation of GL2(Qp), then the continuous group cohomology of SL2(Qp) with values in Pi vanishes. Furthermore, we prove that the continuous group cohomology groups of a p-adic reductive group G, with coefficients in an admissible unitary Qp-Banach space representation Pi, are finite-dimensional. We show that the continuous group cohomology of SL2(Qp) with values in non-ordinary irreducible Qp-Banach space representations of GL2(Qp) vanishes.
Distributed Clustering and Learning Over Networks
Creators: name: Zhao, Xiaochuan
name: Sayed, Ali H.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: Multiagent Systems (cs.MA)
subject: Systems and Control (eess.SY)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Distributed processing over networks relies on in-network processing and cooperation among neighboring agents. Cooperation is beneficial when agents share a common objective. However, in many applications agents may belong to different clusters that pursue different objectives. Then, indiscriminate cooperation will lead to undesired results. In this work, we propose an adaptive clustering and learning scheme that allows agents to learn which neighbors they should cooperate with and which other neighbors they should ignore. In doing so, the resulting algorithm enables the agents to identify their clusters and to attain improved learning and estimation accuracy over networks. We carry out a detailed mean-square analysis and assess the error probabilities of Types I and II, i.e., false alarm and mis-detection, for the clustering mechanism. Among other results, we establish that these probabilities decay exponentially with the step-sizes so that the probability of correct clustering can be made arbitrarily close to one.
description: 47 pages, 6 figures