cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Distinguished elements in semiring extensions
Creators: name: Nasehpour, Peyman
Publisher: name: arXiv
Year: 2018
Subjects: subject: Commutative Algebra (math.AC)
subject: FOS: Mathematics
subject: 16Y60, 12K10, 13A15

description: In this paper, we investigate zero-divisor, nilpotent, idempotent, unit, small, and irreducible elements in semiring extensions such as amount, content, and monoid semialgebras. We also introduce new concepts such as the prime avoidance property in semirings, entire-like semirings, semialgebras with Property (A), and also, Armendariz and McCoy semialgebras and we prove some results related to these concepts. For example, we prove that if $B$ is an $S$-semialgebra, then under some conditions, the set of zero-divisors $Z(B)$ of $B$ is the union of the extended maximal primes of $Z(S)$. Finally, we prove a generalization of Eisenstein's irreducibility criterion.
description: In memory of my father Maestro Nasrollah Nasehpour (1940-2023)
Proposal for Use the Fractional Derivative of Radial Functions in Interpolation Problems
Creators: name: Torres-Hernandez, A.
name: Brambila-Paz, F.
name: Torres-Martínez, C.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Numerical Analysis (math.NA)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: In this document we present the construction of a radial functions that have the objective of emulating the behavior of the radial basis function thin plate spline (TPS), which we will name as function TPS, we propose a way to partially and totally apply the fractional derivative to these functions to be used in interpolation problems, a proposal is presented to precondition the matrices generated in the interpolation problem using the $QR$ decomposition and finally is proposed the form of a radial interpolant to be used when solving differential equations using the asymmetric collocation method.
Fault Area Detection in Leaf Diseases using k-means Clustering
Creators: name: Maity, Subhajit
name: Sarkar, Sujan
name: Tapadar, Avinaba
name: Dutta, Ayan
name: Biswas, Sanket
name: Nayek, Sayon
name: Saha, Pritam
Publisher: name: arXiv
Year: 2018
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: With increasing population the crisis of food is getting bigger day by day.In this time of crisis,the leaf disease of crops is the biggest problem in the food industry.In this paper, we have addressed that problem and proposed an efficient method to detect leaf disease.Leaf diseases can be detected from sample images of the leaf with the help of image processing and segmentation.Using k-means clustering and Otsu's method the faulty region in a leaf is detected which helps to determine proper course of action to be taken.Further the ratio of normal and faulty region if calculated would be able to predict if the leaf can be cured at all.
description: This article is of 5 pages in IEEE format. It has been presented as a full paper in International Conference on Trends in Electronics and Informatics (ICOEI 2018) and is currently under the proceedings of the conference and yet to be published in IEEE Xplore
LHC SUSY and WIMP dark matter searches confront the string theory landscape
Creators: name: Baer, Howard
name: Barger, Vernon
name: Salam, Shadman
name: Serce, Hasan
name: Sinha, Kuver
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The string theory landscape of vacua solutions provides physicists with some understanding as to the magnitude of the cosmological constant. Similar reasoning can be applied to the magnitude of the soft SUSY breaking terms in supersymmetric models of particle physics: there appears to be a statistical draw towards large soft terms which is tempered by the anthropic requirement of the weak scale lying not too far from ~100 GeV. For a mild statistical draw of m_{soft}^n with n=1 (as expected from SUSY breaking due to a single F term) then the light Higgs mass is preferred at ~125 GeV while sparticles are all pulled beyond LHC bounds. We confront a variety of LHC and WIMP dark matter search limits with the statistical expectations from a fertile patch of string theory landscape. The end result is that LHC and WIMP dark matter detectors see exactly that which is expected from the string theory landscape: a Standard Model-like Higgs boson of mass 125 GeV but as yet no sign of sparticles or WIMP dark matter. SUSY from the n=1 landscape is most likely to emerge at LHC in the soft opposite-sign dilepton plus jet plus MET channel. Multi-ton noble liquid WIMP detectors should be able to completely explore the n=1 landscape parameter space.
description: 21 pages plus 15 .png figures
Higher dimensional supersymmetry in 4D superspace
Creators: name: Arkani-Hamed, Nima
name: Gregoire, Thomas
name: Wacker, Jay
Publisher: name: arXiv
Year: 2001
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We present an explicit formulation of supersymmetric Yang-Mills theories from $\D=$ 5 to 10 dimensions in the familiar $\N=1,\D=4$ superspace. This provides the rules for globally supersymmetric model building with extra dimensions and in particular allows us to simply write down $\N=1$ SUSY preserving interactions between bulk fields and fields localized on branes. We present a few applications of the formalism by way of illustration, including supersymmetric ``shining'' of bulk fields, orbifolds and localization of chiral fermions, anomaly inflow and super-Chern-Simons theories.
description: Typos corrected. Added reference to early work by Marcus, Sagnotti and Siegel and a term to the non-Abelian Lagrangian for D>5 formally needed for gauge invariance. The results however remain unchanged
Quantitative Analysis of the Urban Factors Limiting Central District Plane Form Expansion: Twenty-one Case Studies of Asian Megacities′ Central Districts
Creators: name: Xinyu Hu
name: Junyan Yang
Publisher: name: figshare
Year: 2019
Subjects: subject: 120508 Urban Design
subject: FOS: Social and economic geography
subject: 160404 Urban and Regional Studies (excl. Planning)
subject: 120507 Urban Analysis and Development

description: Based on threshold analysis theory, spatial limiting factors such as mountains, rivers, and roads not only affect the way in which cities spread out, but also play a vital role in shaping the flattened forms of their central districts. This study, based on field investigations of 21 central districts in 13 Asian megacities, seeks out limiting factors that determine the boundaries of urban central districts by quantifying the spatial boundary and distance of the limiting factors. The results suggest a strong correlation between the spatial limiting factors and the urban central district's form. The limiting elements constrain the size of buildings and population density based on floor area ratio, building density, and development boundaries. Reduction in population and the inconvenience of traffic have decreased urban vitality, leading to delays in the extension of cites' central districts. It is necessary to fully consider the role of the city's internal limiting elements in order to reasonably plan the construction of an urban central district.
Effect of Color Screening on Heavy Quarkonia Regge Trajectories
Creators: name: Brisudova, M. M.
name: Burakovsky, L.
name: Goldman, T.
Publisher: name: arXiv
Year: 1998
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Condensed Matter (cond-mat)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Using an unquenched lattice potential to calculate the spectrum of the bottomonium system, we demonstrate numerically that the effect of pair creation is to produce termination of hadronic Regge trajectories, in contrast to the Veneziano model and the vast majority of phenomenological generalizations. Termination of Regge trajectories may have significant experimental consequences.
description: 8 pages, 3 figures, published version including a discussion of coupling to open channels
Compactified D=11 Supermembranes and Symplectic Non-Commutative Gauge Theories
Creators: name: Martin, I.
name: Ovalle, J.
name: Restuccia, A.
Publisher: name: arXiv
Year: 2001
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: It is shown that a double compactified D=11 supermembrane with non trivial wrapping may be formulated as a symplectic non-commutative gauge theory on the world volume. The symplectic non commutative structure is intrinsically obtained from the symplectic 2-form on the world volume defined by the minimal configuration of its hamiltonian. The gauge transformations on the symplectic fibration are generated by the area preserving diffeomorphisms on the world volume. Geometrically, this gauge theory corresponds to a symplectic fibration over a compact Riemman surface with a symplectic connection.
description: 8 pages, REVTeX
Organotin(IV) complexes derived from hydrazone ligands: Synthesis, spectral analysis, antimicrobial and molecular docking studies
Creators: name: Kumar, Naresh
name: Asija, Sonika
name: Deswal, Yogesh
name: Saroya, Sonia
name: Kumar, Ashwani
name: Devi, Jai
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified

description: The goal of this research work is to create a new class of diorganotin(IV) complexes with general formula R2SnL1-4, where R = CH3, C2H5, C4H9 & C6H5, and L1-4 are the Schiff base ligands derived from the condensation of indole-3-acetic acid hydrazide with salicylaldehyde derivatives in 1:1 molar ratio. Various spectral (FTIR, NMR and mass spectrometry) and physico-chemical (XRD, TGA) techniques were utilized to identify the structure of the prepared compounds. Spectroscopic evidence suggests that Schiff base ligands coordinate to the central tin atom in a tridentate manner with ONO as the donor site, thus forming a pentacoordinate environment around the metal ion. The serial dilution method was employed for carrying out the antimicrobial activity of the produced compounds against four bacterial strains and two fungal strains. The observed results of biocidal activity showed that compounds Ph2SnL3 (16) and Ph2SnL4 (20) were found to be most potent against the tested strains. Further, molecular docking studies for active compounds i.e., 16 and 20 were carried out in the active site of Escherichia coli 3-oxoacyl-[acyl-carrier-protein] synthase 2 (FabF). To check the drug-likeness, in silico studies of the synthesized compounds was carried out and it has been found that compounds can be used as orally active drugs.
Random networks created by biological evolution
Creators: name: Slanina, Frantisek
name: Kotrla, Miroslav
Publisher: name: arXiv
Year: 2000
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Quantitative Biology (q-bio)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: We investigate a model of evolving random network, introduced by us previously {[}{\it Phys. Rev. Lett.} {\bf 83}, 5587 (1999){]} . The model is a generalization of the Bak-Sneppen model of biological evolution, with the modification that the underlying network can evolve by adding and removing sites. The behavior and the averaged properties of the network depend on the parameter $p$, the probability to establish link to the newly introduced site. For $p=1$ the system is self-organized critical, with two distinct power-law regimes with forward-avalanche exponents $τ=1.98\pm 0.04$ and $τ^\prime = 1.65\pm 0.05$. The average size of the network diverge as power-law when $p\to 1$. We study various geometrical properties of the network: probability distribution of sizes and connectivities, size and number of disconnected clusters and the dependence of mean distance between two sites on the cluster size. The connection with models of growing networks with preferential attachment is discussed.
description: 9 pages, 11 figures, submitted to Phys. Rev. E (substantially revised version)
Two-Photon Spectroscopy of Transition-Metal Ions in Cubical Symmetry
Creators: name: Daoud, M.
name: Kibler, M.
Publisher: name: arXiv
Year: 1998
Subjects: subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Symmetry adaptation techniques are applied to the determination of intensities of intra-configurational two-photon transitions for transition-metal ions in cubical symmetry. This leads to a simple model giving the polarization dependence of intensities of two-photon (electric dipolar) transitions between Stark levels of the configuration 3dN (N = even or odd).
description: 9 pages, Tex file
Physical Layer Techniques for 5G: Waveform Design and Millimeter Waves
Creators: name: RAVITEJA PATCHAVA
Publisher: name: Monash University
Year: 2019
Subjects: subject: 90609 Signal Processing
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 100510 Wireless Communications

description: In order to achieve the desired goals of the fifth generation (5G) wireless systems, exploring new efficient physical layer techniques is necessary. In this thesis, we work in two areas of 5G, namely, waveform design and millimeter waves. In the first part, we investigate several aspects of the recently proposed orthogonal time frequency space (OTFS) modulation, such as OTFS with practically realizable waveforms and channel estimation, and show that it outperforms currently deployed orthogonal frequency division multiplexing (OFDM) modulation. In the second part, we study the design of best beamforming weight vectors for the practically feasible low resolution phase shifters for millimeter wave point-to-point and multiuser uplink systems.
title: Eigenschaften eines neuen Fragebogeninstruments zur Erhebung von „patient enablement“ (PE-13)
Creators: name: Siegel, Achim
name: Ehmann, Anna
name: Rieger, Monika A.
Publisher: name: German Medical Science GMS Publishing House
Year: 2019
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: In den Jahren 2017 und 2018 wurde ein neues, 13 Items umfassendes deutschsprachiges Fragebogeninstrument (Akronym: PE-13) zur generischen Erhebung von „patient enablement“ entwickelt und validiert [ref:1]. Die latente Variable „patient enablement“ ist[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 18. Deutscher Kongress für Versorgungsforschung (DKVF)
Lattice QCD with a chirally twisted mass term
Creators: name: Frezzotti, Roberto
name: Grassi, Pietro Antonio
name: Sint, Stefan
name: Weisz, Peter
Publisher: name: arXiv
Year: 2001
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: Lattice QCD with Wilson quarks and a chirally twisted mass term represents a promising alternative regularization of QCD, which does not suffer from unphysical fermion zero modes. We show how the correlation functions of the renormalized theory are related to the theory with a standard parameterization of the mass term. In particular we discuss the conditions under which these relations take the same form as obtained from naive continuum considerations. We discuss in detail some applications and comment on potential benefits and problems of this framework.
description: 28 pages Latex, changes in sects. 2 and 3 to correct an erronious presentation of the Ward identities with Ginsparg-Wilson fermions
Pragmatic classification of movement primitives for stroke rehabilitation
Creators: name: Parnandi, Avinash
name: Uddin, Jasim
name: Nilsen, Dawn M.
name: Schambra, Heidi
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Rehabilitation training is the primary intervention to improve motor recovery after stroke, but a tool to measure functional training does not currently exist. To bridge this gap, we previously developed an approach to classify functional movement primitives using wearable sensors and a machine learning (ML) algorithm. We found that this approach had encouraging classification performance but had computational and practical limitations, such as training time, sensor cost, and magnetic drift. Here, we sought to refine this approach and determine the algorithm, sensor configurations, and data requirements needed to maximize computational and practical performance. Motion data had been previously collected from 6 stroke patients wearing 11 inertial measurement units (IMUs) as they moved objects on a target array. To identify optimal ML performance, we evaluated 4 algorithms that are commonly used in activity recognition (linear discriminant analysis (LDA), naïve Bayes, support vector machine, and k-nearest neighbors). We compared their classification accuracy, computational complexity, and tuning requirements. To identify optimal sensor configuration, we progressively sampled fewer sensors and compared classification accuracy. To identify optimal data requirements, we compared accuracy using data from IMUs versus accelerometers. We found that LDA had the highest classification accuracy (92%) of the algorithms tested. It also was the most pragmatic, with low training and testing times and modest tuning requirements. We found that 7 sensors on the paretic arm and back resulted in the best accuracy. Using this array, accelerometers had a lower accuracy (84%). We refined strategies to accurately and pragmatically quantify functional movement primitives in stroke patients. We propose that this optimized ML-sensor approach could be a means to quantify training dose after stroke.
Wavelet-based temporal models of human activity for anomaly detection in smart robot-assisted environments
Creators: name: Fernandez-Carmona, Manuel
name: Mghames, Sariah
name: Bellotto, Nicola
Publisher: name: arXiv
Year: 2020
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 68T10

description: Abstract. Detecting anomalies in patterns of sensor data is important in many practical applications, including domestic activity monitoring for Active Assisted Living (AAL). How to represent and analyse these patterns, however, remains a challenging task, especially when data is relatively scarce and an explicit model is required to be fine-tuned for specific scenarios. This paper, therefore, presents a new approach for temporal modelling of long-term human activities with smart-home sensors, which is used to detect anomalous situations in a robot-assisted environment. The model is based on wavelet transforms and used to forecast smart sensor data, providing a temporal prior to detect unexpected events in human environments. To this end, a new extension of Hybrid Markov Logic Networks has been developed that merges different anomaly indicators, including activities detected by binary sensors, expert logic rules, and wavelet-based temporal models. The latter in particular allows the inference system to discover deviations from long-term activity patterns, which cannot be detected by simpler frequency-based models. Two new publicly available datasets were collected using several smart-sensors to evaluate the approach in office and domestic scenarios. The experimental results demonstrate the effectiveness of the proposed solutions and their successful deployment in complex human environments, showing their potential for future smart-home and robot integrated services.
description: 20 pages, 6 figures
The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme
Creators: name: Bozorgnia, Farid
name: Bungert, Leon
name: Tenbrinck, Daniel
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: Analysis of PDEs (math.AP)
subject: Spectral Theory (math.SP)
subject: FOS: Mathematics
subject: 35D40, 35P30, 65N06, 65N12, 65N25

description: In this work, we present an alternative formulation of the higher eigenvalue problem associated to the infinity Laplacian, which opens the door for numerical approximation of eigenfunctions. A rigorous analysis is performed to show the equivalence of the new formulation to the traditional one. Subsequently, we present consistent monotone schemes to approximate infinity ground states and higher eigenfunctions on grids. We prove that our method converges (up to a subsequence) to a viscosity solution of the eigenvalue problem, and perform numerical experiments which investigate theoretical conjectures and compute eigenfunctions on a variety of different domains.
description: version as accepted for publication at the Journal for Scientific Computing
Additional file 2 of Impact of Plasmodium falciparum pfhrp2 and pfhrp3 gene deletions on malaria control worldwide: a systematic review and meta-analysis
Creators: name: Molina-de la Fuente, Irene
name: Pastor, Andrea
name: Herrador, Zaida
name: Benito, Agustín
name: Berzosa, Pedro
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Cancer
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 2: Table S2. Pooled prevalence of pfhrp2, pfhrp3 and pfhrp2/3 deletions among all P. falciparum cases by WHO region, population symptomatology, age of population and collection season.
A hybrid quantum system formed by trapping atoms in the near-field of a levitated nanosphere
Creators: name: Hopper, A.
name: Barker, P. F.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Near-field, radially symmetric optical potentials centred around a levitated nanosphere can be used for sympathetic cooling and for creating a bound nanosphere-atom system analogous to a large molecule. We demonstrate that the long range, Coulomb-like potential produced by a single blue detuned field increases the collisional cross-section by eight orders of magnitude, allowing fast sympathetic cooling of a trapped nanosphere to microKelvin temperatures using cold atoms. By using two optical fields to create a combination of repulsive and attractive potentials, we demonstrate that a cold atom can be bound to a nanosphere creating a new levitated hybrid quantum system suitable for exploring quantum mechanics with massive particles.
description: 6 pages, 5 figures
Additional file 1 of Impact of Plasmodium falciparum pfhrp2 and pfhrp3 gene deletions on malaria control worldwide: a systematic review and meta-analysis
Creators: name: Molina-de la Fuente, Irene
name: Pastor, Andrea
name: Herrador, Zaida
name: Benito, Agustín
name: Berzosa, Pedro
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Cancer
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1: Table S1. The PRISMA checklist.
SYNTHETIC CONTROL OVER ELECTRON CORRELATION IN POROUS FRAMEWORK MATERIALS
Creators: name: Bonds, Audrey Lee
Publisher: name: Purdue University Graduate School
Year: 2025
Subjects: classificationCode: 340207
subject: Metal organic frameworks

description: Metal–organic frameworks (MOFs) are a unique materials design platform owing to their tunability and ultrahigh porosity.1 Developed as high-capacity adsorbents for separations or as storage media for gases, the application of MOFs has expanded to membranes and catalysts. Due to the ionic nature of bonding between metals and ligands in most MOFs, they are often electrically insulating. Careful ligand design, metal selection, and low-dimensional structure implementation have enabled the design of conductive MOFs suitable for purposes in electronic devices, electrocatalysis, and data storage. Beyond isoreticular expansion and variation of transition metals, fine-tuning of the electrical conductivity of two-dimensional MOFs has been limited predominantly to the design of new ligands.1 Here we report our initial attempts to functionalize organic linker cores to alter conductivity and carrier type/concentration and the design of new redox-active quinoxaline ligand cores. Additional usage of the 2nd year annual report from my time in the Andrews’ lab were used in full for the completion of this thesis.
Multi-Photon Laser Spectroscopy of Transition Ions in Crystals: Recent Progress in the Use of Symmetry Considerations
Creators: name: Kibler, M.
Publisher: name: arXiv
Year: 1998
Subjects: subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: The role of symmetry adaptation techniques in multi-photon spectroscopy of partly-filled shell ions in crystals is briefly reviewed. This leads to an intensity formula which is discussed from a qualitative point of view.
description: 11 pages, Tex file
Additional file 8 of The adaptive benefit of evolved increases in hemoglobin-O2 affinity is contingent on tissue O2 diffusing capacity in high-altitude deer mice
Creators: name: Wearing, Oliver H.
name: Ivy, Catherine M.
name: Gutiérrez-Pinto, Natalia
name: Velotta, Jonathan P.
name: Campbell-Staton, Shane C.
name: Natarajan, Chandrasekhar
name: Cheviron, Zachary A.
name: Storz, Jay F.
name: Scott, Graham R.
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Evolutionary Biology
subject: Ecology
subject: Cancer

description: Additional file 8: Figure S7. Physiological parameters for F2 inter-population hybrids measured at V̇O2max in normoxia (21 kPa O2) both before and after a 6-wk acclimation to hypobaric hypoxia. Different α- and β- globin genotypes are shown as superscripts with ‘L’ representing the lowland haplotype and ‘H’ representing the highland haplotype. †P < 0.05 vs. pre-acclimation value within a genotype. P < 0.05 between genotypes within an acclimation condition for values not sharing a letter. Bars display mean ± SEM (n = 3-8) with individual data superimposed (circles).
Additional file 7 of The adaptive benefit of evolved increases in hemoglobin-O2 affinity is contingent on tissue O2 diffusing capacity in high-altitude deer mice
Creators: name: Wearing, Oliver H.
name: Ivy, Catherine M.
name: Gutiérrez-Pinto, Natalia
name: Velotta, Jonathan P.
name: Campbell-Staton, Shane C.
name: Natarajan, Chandrasekhar
name: Cheviron, Zachary A.
name: Storz, Jay F.
name: Scott, Graham R.
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Evolutionary Biology
subject: Ecology
subject: Cancer

description: Additional file 7: Figure S6. Physiological parameters for F2 inter-population hybrids measured at V̇O2max in hypoxia (12 kPa O2) both before and after a 6-wk acclimation to hypobaric hypoxia. Different α- and β- globin genotypes are shown as superscripts with ‘L’ representing the lowland haplotype and ‘H’ representing the highland haplotype. †P < 0.05 vs. pre-acclimation value within a genotype. P < 0.05 between genotypes within an acclimation condition for values not sharing a letter. Bars display mean ± SEM (n = 3-8) with individual data superimposed (circles).
Convergence of adaptive discontinuous Galerkin and $C^0$-interior penalty finite element methods for Hamilton--Jacobi--Bellman and Isaacs equations
Creators: name: Kawecki, Ellya L.
name: Smears, Iain
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We prove the convergence of adaptive discontinuous Galerkin and $C^0$-interior penalty methods for fully nonlinear second-order elliptic Hamilton--Jacobi--Bellman and Isaacs equations with Cordes coefficients. We consider a broad family of methods on adaptively refined conforming simplicial meshes in two and three space dimensions, with fixed but arbitrary polynomial degrees greater than or equal to two. A key ingredient of our approach is a novel intrinsic characterization of the limit space that enables us to identify the weak limits of bounded sequences of nonconforming finite element functions. We provide a detailed theory for the limit space, and also some original auxiliary functions spaces, that is of independent interest to adaptive nonconforming methods for more general problems, including Poincaré and trace inequalities, a proof of density of functions with nonvanishing jumps on only finitely many faces of the limit skeleton, approximation results by finite element functions and weak convergence results.
Fast Deep Mixtures of Gaussian Process Experts
Creators: name: Etienam, Clement
name: Law, Kody
name: Wade, Sara
name: Zankin, Vitaly
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Mixtures of experts have become an indispensable tool for flexible modelling in a supervised learning context, allowing not only the mean function but the entire density of the output to change with the inputs. Sparse Gaussian processes (GP) have shown promise as a leading candidate for the experts in such models, and in this article, we propose to design the gating network for selecting the experts from such mixtures of sparse GPs using a deep neural network (DNN). Furthermore, a fast one pass algorithm called Cluster-Classify-Regress (CCR) is leveraged to approximate the maximum a posteriori (MAP) estimator extremely quickly. This powerful combination of model and algorithm together delivers a novel method which is flexible, robust, and extremely efficient. In particular, the method is able to outperform competing methods in terms of accuracy and uncertainty quantification. The cost is competitive on low-dimensional and small data sets, but is significantly lower for higher-dimensional and big data sets. Iteratively maximizing the distribution of experts given allocations and allocations given experts does not provide significant improvement, which indicates that the algorithm achieves a good approximation to the local MAP estimator very fast. This insight can be useful also in the context of other mixture of experts models.
description: 22 pages, 28 figures, to be published in Machine Learning journal
El dolo perinatal (revisió bibliografica).docx
Creators: name: Mora, Antonio Barrera
Publisher: name: figshare
Year: 2019
Subjects: subject: Applied Psychology
subject: Clinical Psychology
subject: 170202 Decision Making
subject: FOS: Psychology

description: Els objectius de la revisió de caràcter descriptiva serien: · La recerca de documents amb els quals crear una bibliografia que ens permetin posteriorment establir amb una acceptable validesa l'estat de la qüestió definició, etiologia, causes i diferents aspectes implicats en el dol perinatal. · Obtenir una imatge la més fidedigna possible sobre quina metodologia se sol utilitzar per investigar sobre aquesta problemàtica. · Utilitzar els resultats d'aquests treballs seleccionats per poder fonamentar les "avantatges i inconvenients de les diferents tècniques" en cas de voler establir una investigació.
Additional file 1 of Baseline characteristics and comparability of older multimorbid patients with polypharmacy and general practitioners participating in a randomized controlled primary care trial
Creators: name: Jungo, Katharina Tabea
name: Meier, Rahel
name: Valeri, Fabio
name: Schwab, Nathalie
name: Schneider, Claudio
name: Reeve, Emily
name: Spruit, Marco
name: Schwenkglenks, Matthias
name: Rodondi, Nicolas
name: Streit, Sven
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1: eAppendix 1. Information about the OPTICA trial and the FIRE project. eTable 1. Baseline characteristics of patients in the OPTICA trial compared to other multimorbid patients with polypharmacy in the FIRE database who also were patients of the general practitioners participating in the OPTICA trial. eTable 2. Baseline characteristics of Swiss general practitioners who participated in the Workforce-Study. eFigure 1. FIRE database, FIRE reference cohorts and OPTICA trial participants.
Additional file 1: of Genome-wide association study of myocardial infarction, atrial fibrillation, acute stroke, acute kidney injury and delirium after cardiac surgery â a sub-analysis of the RIPHeart-Study
Creators: name: Westphal, Sabine
name: Stoppe, Christian
name: Gruenewald, Matthias
name: Bein, Berthold
name: Renner, Jochen
name: Cremer, Jochen
name: Coburn, Mark
name: Schaelte, Gereon
name: Boening, Andreas
name: Niemann, Bernd
name: Kletzin, Frank
name: Roesner, Jan
name: Strouhal, Ulrich
name: Reyher, Christian
name: Laufenberg-Feldmann, Rita
name: Ferner, Marion
name: Brandes, Ivo
name: Bauer, Martin
name: Kortgen, Andreas
name: Stehr, Sebastian
name: Wittmann, Maria
name: Baumgarten, Georg
name: Struck, Rafael
name: Meyer-Treschan, Tanja
name: Kienbaum, Peter
name: Heringlake, Matthias
name: Schoen, Julika
name: Sander, Michael
name: Treskatsch, Sascha
name: Smul, Thorsten
name: Wolwender, Ewa
name: Schilling, Thomas
name: Degenhardt, Frauke
name: Franke, Andre
name: Mucha, Soeren
name: Tittmann, Lukas
name: Kohlhaas, Madeline
name: Fuernau, Georg
name: Brosteanu, Oana
name: Hasenclever, Dirk
name: Zacharowski, Kai
name: Meybohm, Patrick
Publisher: name: figshare
Year: 2019
Subjects: subject: Space Science
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology

description: Figure S3. English synopsis of study protocol. (PDF 105 kb)
Additional file 2: of Genome-wide association study of myocardial infarction, atrial fibrillation, acute stroke, acute kidney injury and delirium after cardiac surgery â a sub-analysis of the RIPHeart-Study
Creators: name: Westphal, Sabine
name: Stoppe, Christian
name: Gruenewald, Matthias
name: Bein, Berthold
name: Renner, Jochen
name: Cremer, Jochen
name: Coburn, Mark
name: Schaelte, Gereon
name: Boening, Andreas
name: Niemann, Bernd
name: Kletzin, Frank
name: Roesner, Jan
name: Strouhal, Ulrich
name: Reyher, Christian
name: Laufenberg-Feldmann, Rita
name: Ferner, Marion
name: Brandes, Ivo
name: Bauer, Martin
name: Kortgen, Andreas
name: Stehr, Sebastian
name: Wittmann, Maria
name: Baumgarten, Georg
name: Struck, Rafael
name: Meyer-Treschan, Tanja
name: Kienbaum, Peter
name: Heringlake, Matthias
name: Schoen, Julika
name: Sander, Michael
name: Treskatsch, Sascha
name: Smul, Thorsten
name: Wolwender, Ewa
name: Schilling, Thomas
name: Degenhardt, Frauke
name: Franke, Andre
name: Mucha, Soeren
name: Tittmann, Lukas
name: Kohlhaas, Madeline
name: Fuernau, Georg
name: Brosteanu, Oana
name: Hasenclever, Dirk
name: Zacharowski, Kai
name: Meybohm, Patrick
Publisher: name: figshare
Year: 2019
Subjects: subject: Space Science
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology

description: Figure S4. Study protocol of the RIPHeart study. (PDF 4311 kb)
A dynamically young, gravitationally stable network of filaments in Orion B
Creators: name: Orkisz, Jan H.
name: Peretto, Nicolas
name: Pety, Jérôme
name: Gerin, Maryvonne
name: Levrier, François
name: Bron, Emeric
name: Bardeau, Sébastien
name: Goicoechea, Javier R.
name: Gratier, Pierre
name: Guzmán, Viviana V.
name: Hughes, Annie
name: Languignon, David
name: Petit, Franck Le
name: Liszt, Harvey S.
name: Öberg, Karin
name: Roueff, Evelyne
name: Sievers, Albrecht
name: Tremblin, Pascal
Publisher: name: arXiv
Year: 2019
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Filaments are a key step on the path that leads from molecular clouds to star formation. However, their characteristics are heavily debated, and the exact processes that lead to their formation and fragmentation into dense cores still remain to be fully understood. We aim at characterising the mass, kinematics, and stability against gravitational collapse of a statistically significant sample of filaments in the Orion B molecular cloud, which is renown for its very low star formation efficiency. We characterise the gas column densities and kinematics over a field of 1.9 deg$^2$, using C$^{18}$O(J=1-0) data from the IRAM-30m large programme ORION-B. Using two different Hessian-based filters, we extract and compare two filamentary networks, each containing over 100 filaments. Independent of the extraction method, the filaments have widths of 0.12$\pm$0.04 pc, and show a wide range of linear (1 - 100 $M_{\odot}$pc$^{-1}$) and volume densities (2.10$^3$ - 2.10$^5$ cm$^{-3}$). Compared to previous studies, the filament population is dominated by low-density, thermally sub-critical structures, suggesting that most of the identified filaments are not collapsing to form stars. In fact, only ~1% of the Orion B cloud mass covered by our observations can be found in super-critical, star-forming filaments, explaining the low star formation efficiency of the region. The velocity profiles observed across the filaments show quiescence in the centre, and coherency in the plane of the sky, despite being mostly supersonic. The filaments in Orion B apparently belong to a continuum which contains a few elements comparable to already studied star-forming filaments as well as many lower-density, gravitationally unbound structures. This comprehensive study of the Orion B filaments shows that the mass fraction in super-critical filaments is a key factor in determining star formation efficiency.
description: 22 pages, 15 figures. Accepted by A&A
title: Psychometrische Gütekriterien des „Patient Assessment of Chronic Illness Care measure (PACIC-5A)“ bei Patienten mit Adipositas
Creators: name: Schwenke, Maria
name: Welzel, Franziska D.
name: Luck-Sikorski, Claudia
name: Pabst, Alexander
name: Kersting, Anette
name: Blüher, Matthias
name: König, Hans-Helmut
name: Riedel-Heller, Steffi G.
name: Stein, Janine
Publisher: name: German Medical Science GMS Publishing House
Year: 2019
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Das Instrument “Patient Assessment of Chronic Illness Care (PACIC-5A)” wurde zur Ermittlung der Versorgungsqualität der Arzt-Patienten-Beziehung basierend auf dem Versorgungsmodell für chronisch Kranke entwickelt. Zusätzlich dient es zur Erfassung des evidenzbasierten[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 18. Deutscher Kongress für Versorgungsforschung (DKVF)
Physics of Fashion Fluctuations
Creators: name: Donangelo, Raul
name: Hansen, Alex
name: Sneppen, Kim
name: Souza, Sergio R.
Publisher: name: arXiv
Year: 2000
Subjects: subject: Condensed Matter (cond-mat)
subject: FOS: Physical sciences

description: We consider a market where many agents trade many different types of products with each other. We model development of collective modes in this market, and quantify these by fluctuations that scale with time with a Hurst exponent of about 0.7. We demonstrate that individual products in the model occationally become globally accepted means of exchange, and simultaneously become very actively traded. Thus collective features similar to money spontaneously emerge, without any a priori reason.
description: 9 pages RevTeX, 5 Postscript figures
Patterns of recovery from aphasia (Wilson et al., 2019)
Creators: name: Wilson, Stephen M.
name: Eriksson, Dana K.
name: Temre H. Brandt
name: Schneck, Sarah M.
name: Lucanie, Jillian M.
name: Burchfield, Annie S.
name: Charney, Sara
name: Quillen, Ian A.
name: Riesthal, Michael De
name: Kirshner, Howard S.
name: Beeson, Pélagie M.
name: Ritter, Leslie
name: Kidwell, Chelsea S.
Publisher: name: ASHA journals
Year: 2019
Subjects: Language

description: Purpose: Recovery from aphasia after stroke has a decelerating trajectory, with the greatest gains taking place early and the slope of change decreasing over time. Despite its importance, little is known regarding evolution of language function in the early postonset period. The goal of this study was to characterize the dynamics and nature of recovery of language function in the acute and early subacute phases of stroke.Method: Twenty-one patients with aphasia were evaluated every 2–3 days for the first 15 days after onset of acute ischemic or hemorrhagic stroke. Language function was assessed at each time point with the Quick Aphasia Battery (Wilson, Eriksson, Schneck, & Lucanie, 2018), which yields an overall summary score and a multidimensional profile of 7 different language domains.Results: On a 10-point scale, overall language function improved by a mean of 1.07 points per week, confidence interval [0.46, 1.71], with 19 of 21 patients showing positive changes. The trajectory of recovery was approximately linear over this time period. There was significant variability across patients, and patients with more impaired language function at Day 2 poststroke experienced greater improvements over the subsequent 2 weeks. Patterns of recovery differed across language domains, with consistent improvements in word finding, grammatical construction, repetition, and reading, but less consistent improvements in word comprehension and sentence comprehension.Conclusion: Overall language function typically improves substantially and steadily during the first 2 weeks after stroke, driven mostly by recovery of expressive language. Information on the trajectory of early recovery will increase the accuracy of prognoses and establish baseline expectations against which to evaluate the efficacy of interventions.
Supplemental Material S1. Complete dataset.
Wilson, S. M., Eriksson, D. K., Brandt, T. H., Schneck, S. M., Lucanie, J. M., Burchfield, A. S., ... Kidwell, C. S. (2019). Patterns of recovery from aphasia in the first 2 weeks after stroke. Journal of Speech, Language, and Hearing Research. Advance online publication. https://doi.org/10.1044/2018_JSLHR-L-18-0254
Origin of fermion generations from extended noncommutative geometry
Creators: name: Yu, Hefu
name: Ma, Bo-Qiang
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We propose a way to understand the 3 fermion generations by the algebraic structures of noncommutative geometry, which is a promising framework to unify the standard model and general relativity. We make the tensor product extension and the quaternion extension on the framework. Each of the two extensions alone keeps the action invariant, and we consider them as the almost trivial structures of the geometry. We combine the two extensions, and show the corresponding physical effects, i.e., the emergence of 3 fermion generations and the mass relationships among those generations. We define the coordinate fiber space of the bundle of the manifold as the space in which the classical noncommutative geometry is expressed, then the tensor product extension explicitly shows the contribution of structures in the non-coordinate base space of the bundle to the action. The quaternion extension plays an essential role to reveal the physical effect of the structure in the non-coordinate base space.
description: 17 latex pages, no figure. Final version for publication
title: Internationale Validierung des aktualisierten EORTC Moduls zur Messung der Lebensqualität von Patienten mit Lungenkrebs
Creators: name: Koller, Michael
name: Shamie, Omar
name: Hjermstad, Marianne
name: Young, Teresa
name: Ioannidis, Georgios,
name: Harle, Amelie
name: Johnson, Colin
name: Tomaszewski, Krzysztof
name: Serpentini, Samantha
name: Pinto, Monica
name: van der Weijst, Lotte
name: Janssens, Annelies
name: Morag, Ofir
name: Weichu, Chi
name: Jungraithmayr, Wolfgang
name: Arraras, Juan
name: Pompili, Cecilia
name: Hechtner, Marlene
name: Katsochi, Despina
name: Schulz, Christian
name: Gräfenstein, Laura
name: Kulis, Dagmara
name: Bottomley, Andrew
Publisher: name: German Medical Science GMS Publishing House
Year: 2019
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Der EORTC QLQ-LC13 war das erste Modul, das in Verbindung mit dem Kernfragebogen QLQ-C30 entwickelt und im Jahr 1994 publiziert wurde. Das Modul wurde in mehreren hundert klinischen Studien eingesetzt und gilt als Goldstandard. Da vielfältige Fortschritte in Diagnostik und Therapie[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 18. Deutscher Kongress für Versorgungsforschung (DKVF)
Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality
Creators: name: Paudel, Bibek
name: Luck, Sandro
name: Bernstein, Abraham
Publisher: name: arXiv
Year: 2018
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Negative user preference is an important context that is not sufficiently utilized by many existing recommender systems. This context is especially useful in scenarios where the cost of negative items is high for the users. In this work, we describe a new recommender algorithm that explicitly models negative user preferences in order to recommend more positive items at the top of recommendation-lists. We build upon existing machine-learning model to incorporate the contextual information provided by negative user preference. With experimental evaluations on two openly available datasets, we show that our method is able to improve recommendation quality: by improving accuracy and at the same time reducing the number of negative items at the top of recommendation-lists. Our work demonstrates the value of the contextual information provided by negative feedback, and can also be extended to signed social networks and link prediction in other networks.
description: The First International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA), co-organized with the 12th ACM International Conference on Web Search and Data Mining, 2019, Melbourne, Australia
Additional file 6 of The adaptive benefit of evolved increases in hemoglobin-O2 affinity is contingent on tissue O2 diffusing capacity in high-altitude deer mice
Creators: name: Wearing, Oliver H.
name: Ivy, Catherine M.
name: Gutiérrez-Pinto, Natalia
name: Velotta, Jonathan P.
name: Campbell-Staton, Shane C.
name: Natarajan, Chandrasekhar
name: Cheviron, Zachary A.
name: Storz, Jay F.
name: Scott, Graham R.
Publisher: name: figshare
Year: 2021
Subjects: subject: Biophysics
subject: Biochemistry
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Evolutionary Biology
subject: Ecology
subject: Cancer

description: Additional file 6: Figure S5. Hypoxic V̇O2max before and after a 6-wk acclimation to hypobaric hypoxia (12 kPa O2). Different α- and β- globin genotypes are shown as superscripts with ‘L’ representing the lowland haplotype and ‘H’ representing the highland haplotype. †P < 0.05 vs. pre-acclimation value within a genotype. Bars display mean ± SEM (n = 3-8) with individual data superimposed (circles).