cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Lipid extraction from wet microalgal biomass using three different pre-treatment techniques for biodiesel production
Creators: name: Khrishnamoorthy, Amarnath
Publisher: name: Zenodo
Year: 2025

description: Increased supply of fossil fuels has had significant environmental consequences, includinggreenhouse gas emissions and global pollution. Addressing the challenges posed by fossil fuelproduction and usage necessitates the development and adoption of technically advanced,renewable, and cost-effective energy solutions. Biodiesel, derived from various biomassspecies, has gained popularity due to technological advancements in the biofuel field. However,large-scale production and academic studies on microalgae for biodiesel are still in their earlystages, posing significant hurdles in cell disruption, lipid recovery, and biodiesel generationusing existing processing methodologies.This thesis aims to investigate the potential of lipid production in microalgae species,specifically Chlorella vulgaris and Nannochloropsis oculata. The primary focus is onenhancing lipid extraction through different pre-treatment techniques, such as microwave,high-speed homogeniser (HSH), and ultrasonic methods. One of the primary challenges facedin microalgae research is cell disruption, as breaking the algae cells and extracting their lipidsefficiently is crucial. In this study, we adopt a wet method for cell disruption, in contrast tomost recent and traditional studies that focus on using dry algae. To study the adaptability ofthe model, experiments were planned using Design of Experiments (DOE) and analysed usingBox-Behnken designs (BBD). The research outcomes demonstrate that pre-treatmentsignificantly enhances lipid efficiency in both microalgae under specific input conditions.Extracted lipids were subsequently converted into biodiesel through transesterification,employing solvents like methanol, concentrated sulfuric acid, and hexane. Thorough analysisof the biodiesel characteristics was conducted to assess its quality and suitability for large-scaleproduction as a sustainable feedstock. Correlations between Fatty Acid Methyl Ester (FAME)composition and other fuel characteristics were explored to gain valuable insights into thepotential applications of the produced biodiesel. Notably, pre-treatment led to an 14.84%increase in lipid content for Chlorella vulgaris, while Nannochloropsis oculata exhibited amaximum yield of 40.56%. Among the three employed pre-treatment techniques, the highspeedhomogenizer method proved to be the most effective in enhancing lipid extraction fromwet microalgae. This research provides an overview of the investigated work, focusing onenhanced lipid extraction in microalgae and the efficacy of different pre-treatment methods.
The Coulomb Luttinger liquid
Creators: name: Wang, D. W.
name: Millis, A. J.
name: Sarma, S. Das
Publisher: name: arXiv
Year: 2000
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The effect of long-ranged Coulomb interaction on the low energy properties (momentum distribution function, density of states, electron spectral function, and $4k_F$ correlation function) of one-dimensional electron systems is determined theoretically. Over a wide, physically relevant energy range the behavior is found to be well described by the conventional, short-ranged interacting, Luttinger liquid results, \textit{with a scale-dependent effective exponent}. An accurate empirical formula for the effective exponent is presented.
description: 5 pages and 2 figures; submitted to Phys. Rev. Lett
Additional file 1: of In rheumatoid arthritis, changes in autoantibody levels reflect intensity of immunosuppression, not subsequent treatment response
Creators: name: Moel, Emma
name: Derksen, Veerle
name: Trouw, Leendert
name: Bang, Holger
name: CollĂŠe, Gerard
name: Lard, Leroy
name: Ramiro, Sofia
name: Huizinga, Tom
name: Allaart, Cornelia
name: RenĂŠ Toes
name: Woude, Diane
Publisher: name: figshare
Year: 2019
Subjects: subject: Cell Biology
subject: Molecular Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Inorganic Chemistry

description: Figure S1. Levels (aU/mL), number of autoantibodies, and DAS over 1st year of treatment. Figure S2. Autoantibody levels change following treatment decision at 4â months. (DOCX 2424 kb)
Additional file 2 of A novel role of Krüppel-like factor 8 as an apoptosis repressor in hepatocellular carcinoma
Creators: name: Wang, Ming-Da
name: Xing, Hao
name: Li, Chao
name: Liang, Lei
name: Wu, Han
name: Xu, Xin-Fei
name: Sun, Li-Yang
name: Wu, Meng-Chao
name: Shen, Feng
name: Yang, Tian
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 2: Table S2. Primers used for ChIP-quantitative real-time PCR.
A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards
Creators: name: Häni, Nicolai
name: Roy, Pravakar
name: Isler, Volkan
Publisher: name: arXiv
Year: 2018
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: We present new methods for apple detection and counting based on recent deep learning approaches and compare them with state-of-the-art results based on classical methods. Our goal is to quantify performance improvements by neural network-based methods compared to methods based on classical approaches. Additionally, we introduce a complete system for counting apples in an entire row. This task is challenging as it requires tracking fruits in images from both sides of the row. We evaluate the performances of three fruit detection methods and two fruit counting methods on six datasets. Results indicate that the classical detection approach still outperforms the deep learning based methods in the majority of the datasets. For fruit counting though, the deep learning based approach performs better for all of the datasets. Combining the classical detection method together with the neural network based counting approach, we achieve remarkable yield accuracies ranging from 95.56% to 97.83%.
description: 28 pages
Luttinger Stripes in Antiferromagnets
Creators: name: Neto, A. H. Castro
Publisher: name: arXiv
Year: 1996
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We propose a model for the physics of stripes in antiferromagnets in which the stripes are described by Luttinger liquids hybridized with antiferromagnetic domains. Using bosonization techniques we study the model in the limit where the magnetic correlation length is larger than the inter-stripe distance and propose an explanation for the commensurate-incommensurate phase transition seen in neutron scattering in the underdoped regime of La_{2-x} Sr_x Cu O_4. The explanation is based on a phase to anti-phase domain transition in the spin configuration which is associated with the transverse motion of the stripes. Using a non-linear sigma model to describe the antiferromagnetic regions we conjecture the crystalization of the stripes in the magnetically ordered phase.
description: 9 pages, Revtex, Epsf, 4 figures. To appear in the Proceedings of the Euroconference on "Correlations in unconventional quantum liquids" in Zeitschrift f\"ur Physik B - Condensed Matter (dedicated to the memory of Sir Rudolph Peierls)
Additional file 1: of Absence of herb-drug interactions of mistletoe with the tamoxifen metabolite (E/Z)-endoxifen and cytochrome P450 3A4/5 and 2D6 in vitro
Creators: name: U. Weissenstein
name: M. Kunz
name: M. Oufir
name: J. Wang
name: M. Hamburger
name: K. Urech
name: U. Regueiro
name: S. Baumgartner
Publisher: name: figshare
Year: 2019
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: FOS: Biological sciences
subject: Computational Biology

description: Table S1. Optimized MS/MS parameters in ESI positive mode for analytes (S: substrate and M: metabolite) and corresponding IS. (PDF 14 kb)
Bloszykiella KontschAn 2010
Creators: name: Kontschán, Jenő
name: Starý, Josef
Publisher: name: Zenodo
Year: 2015
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Mesostigmata
Uropodidae
Bloszykiella

description: Genus Bloszykiella KontschÁn, 2010
Diagnosis (based on females after KontschÁn & Starý 2013, but modified; for deutonymph see KontschÁn 2010): Idiosoma oval, dorsally domed, marginal and dorsal shields fused anteriorly. All dorsal setae short, with pilose or serrate distal margins. Submarginal shield reduced posteriorly, pygidial shield trapezoidal, bearing pilose or serrate setae. Five pairs of sternal setae present, all smooth and needle-like. Genital shield trapezoidal, its anterior margin situated between coxae III. Peritreme L-shaped. Hypostomal setae h 1 in female pilose in the central one third, distally and basally smooth; h2 short and smooth, placed close to h1; h3–h4 smooth or marginally serrate. Corniculi small and horn-like, fixed digit of chelicera as long as movable digit, bearing several large and short teeth. Chelicera without internal sclerotised nodes. Leg I without ambulacral claws; with serrate setae on trochanter.
 Type species: Bloszykiella africana KontschÁn, 2010, by original designation.
description: Published as part of Kontschán, Jenő & Starý, Josef, 2015, First record of the genus Bloszykiella in Kenya with the description of Bloszykiella tertia sp. n. (Acari: Uropodidae) from a Pinus radiata D. Don plantation, pp. 629 in African Invertebrates 56 (3) on page 630, DOI: 10.5733/afin.056.0308, http://zenodo.org/record/7914561
Nucleation and Growth of Normal Phase in Thin Superconducting Strips
Creators: name: Aranson, I.
name: Shapiro, B. Ya.
name: Vinokur, V.
Publisher: name: arXiv
Year: 1995
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We investigate the kinetics of normal phase nucleation and flux line condensation in the type-II superconductors by numerical study of the time-dependent Ginzburg-Landau equation. We have shown that under the sufficient transport current the normal phase nucleates in the superconducting strips in a form of the macroscopic droplets having the multiple topological charge. We discuss the stability and the dynamics of the droplets. We found that pinning suppresses the droplet formation.
description: 4 pages, Revtex, 2 figures avilable from author via valerii_vinokur@qmgate.anl.gov
M2-branes on a constant flux background
Creators: name: del Moral, M. P. Garcia
name: Heras, C. Las
name: Leon, P.
name: Pena, J. M.
name: Restuccia, A.
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We describe a compactified Supermembrane, or M2-brane, with 2-form fluxes generated by constant three-forms that are turned on a 2-torus of the target space $M_9\times T^2$. We compare this theory with the one describing a $11D$ M2-brane formulated on $M_9\times T^2$ target space subject to an irreducible wrapping condition. We show that the flux generated by the bosonic 3-form under consideration is in a one to one correspondence to the irreducible wrapping condition. After a canonical transformation both Hamiltonians are exactly the same up to a constant shift in one particular case. Consequently both of them, share the same spectral properties. We conclude that the Hamiltonian of the M2-brane with 2-form target space fluxes on a torus has a purely discrete spectrum with eigenvalues of finite multiplicity and it can be considered to describe a new sector of the microscopic degrees of freedom of M-theory. We also show that the total membrane momentum in the direction associated to the flux condition acquires a quantized contribution in correspondence to the flux units that have been turned on.
description: Latex, 15 pages, title changed, paper revised, results improved
Radiative transport of relativistic species in cosmology
Creators: name: Pitrou, Cyril
Publisher: name: arXiv
Year: 2019
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We review the general construction of distribution functions for gases of fermions and bosons (photons), emphasizing the similarities and differences between both cases. The central object which describes polarization for photons is a tensor-valued distribution function, whereas for fermions it is a vector-valued one. The collision terms of Boltzmann equations for fermions and bosons also possess the same general structure and differ only in the quantum effects associated with the final state of the reactions described. In particular, neutron-proton conversions in the early universe, which set the primordial Helium abundance, enjoy many similarities with Compton scattering which shapes the cosmic microwave background and we show that both can be handled with a Fokker-Planck type expansion. For neutron-proton conversions, this allows to obtain the finite nucleon mass corrections, required for precise theoretical predictions, whereas for Compton scattering it leads to the thermal and recoil effects which enter the Kompaneets equation. We generalize the latter to the general case of anisotropic and polarized photon distribution functions. Finally we discuss a parameterization of the photon spectrum based on logarithmic moments which allows for a neat separation between temperature shifts and spectral distortions.
description: 45 pages, 7 figures. Review article with some overlap with arXiv:1701.08844, arXiv:1402.0968, arXiv:1801.08023
Formal Foundations of Serverless Computing
Creators: name: Jangda, Abhinav
name: Pinckney, Donald
name: Brun, Yuriy
name: Guha, Arjun
Publisher: name: arXiv
Year: 2019
Subjects: subject: Programming Languages (cs.PL)
subject: FOS: Computer and information sciences

description: Serverless computing (also known as functions as a service) is a new cloud computing abstraction that makes it easier to write robust, large-scale web services. In serverless computing, programmers write what are called serverless functions, and the cloud platform transparently manages the operating system, resource allocation, load-balancing, and fault tolerance. When demand for the service spikes, the platform automatically allocates additional hardware to the service and manages load-balancing; when demand falls, the platform silently deallocates idle resources; and when the platform detects a failure, it transparently retries affected requests. In 2014, Amazon Web Services introduced the first serverless platform, AWS Lambda, and similar abstractions are now available on all major cloud computing platforms. Unfortunately, the serverless computing abstraction exposes several low-level operational details that make it hard for programmers to write and reason about their code. This paper sheds light on this problem by presenting $λ_Λ$, an operational semantics of the essence of serverless computing. Despite being a small (half a page) core calculus, $λ_Λ$ models all the low-level details that serverless functions can observe. To show that $λ_Λ$ is useful, we present three applications. First, to ease reasoning about code, we present a simplified naive semantics of serverless execution and precisely characterize when the naive semantics and $λ_Λ$ coincide. Second, we augment $λ_Λ$ with a key-value store to allow reasoning about stateful serverless functions. Third, since a handful of serverless platforms support serverless function composition, we show how to extend $λ_Λ$ with a composition language. We have implemented this composition language and show that it outperforms prior work.
Effective Field Theory for Highly Ionized Plasmas
Creators: name: Brown, Lowell S.
name: Yaffe, Laurence G.
Publisher: name: arXiv
Year: 1999
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: Astrophysics (astro-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We examine the equilibrium properties of hot, dilute, non-relativistic plasmas. The partition function and density correlation functions of a classical plasma with several species are expressed in terms of a functional integral over electrostatic potential distributions. The leading order, field-theoretic tree approximation automatically includes the effects of Debye screening. Subleading, one-loop corrections are easily evaluated. The two-loop corrections, however, have ultraviolet divergences. These correspond to the short-distance, logarithmic divergence which is encountered in the spatial integral of the Boltzmann exponential when it is expanded to third order in the Coulomb potential. Such divergences do not appear in the underlying quantum theory --- they are rendered finite by quantum fluctuations. We show how such divergences may be removed and the correct finite theory obtained by introducing additional local interactions in the manner of modern effective quantum field theories. We obtain explicit results for density-density correlation functions through two-loop order and thermodynamic quantities through three-loop order. The induced couplings are shown to obey renormalization group equations, and these equations are used to characterize all leading logarithmic contributions in the theory. A linear combination of pressure and energy and number densities is shown to be described by a field-theoretic anomaly. The effective theory allows us to evaluate very easily the algebraic long-distance decay of density correlation functions.
description: 194 pages, uses elsevier & epsf.sty; final corrections included
title: ADCO, Cartulaire de Cîteaux pour les possessions d'Aloxe (XVe siècle), Cart. 182 (11 H 233), 105 folios, f. 0051
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2017
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: cartulaire
subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire de Cîteaux pour les possessions d'Aloxe (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 182 (11 H 233), 105 folios, f. 0051, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire de Cîteaux pour les possessions d'Aloxe (XVe siècle), Archives départementales de la Côte-d'Or, Cart. 182 (11 H 233), 105 folios, f. 0051, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: abbaye de Cîteaux
description: Provenance: http://www.wikidata.org/entity/Q843261
description: Provenance: https://www.geonames.org/3024876
description: Provenance: http://www.idref.fr/030974844/id
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb12228351v
Constraining the Inert Doublet Model using Vector Boson Fusion
Creators: name: Dercks, Daniel
name: Robens, Tania
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this work, we use a recast of the Run II search for invisible Higgs decays within Vector Boson Fusion to constrain the parameter space of the Inert Doublet model, a two Higgs doublet model with a dark matter candidate. When including all known theoretical as well as collider constraints, we find that the above can rule out a relatively large part in the mH-lambda345 parameter space, for dark scalar masses mH <= 100 GeV. Including the latest dark matter constraints, a smaller part of parameter space remains which is solely excluded from the above analysis. We also discuss the sensitivity of monojet searches and multilepton final states from Run II.
description: 29 pages, 7 figures, 6 tables; v2: slight modifications, some references added. Corresponds to published journal version
Microscopic Models of 2D Magnets with Fractionalized Excitations
Creators: name: Nayak, Chetan
name: Shtengel, Kirill
Publisher: name: arXiv
Year: 2000
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We demonstrate that spin-charge separation can occur in two dimensions and note its confluence with superconductivity, topology, gauge theory, and fault-tolerant quantum computation. We construct a microscopic Ising-like model and, at a special coupling constant value, find its exact ground state as well as neutral spin 1/2 (spinon), spinless charge e (holon), and $Z_2$ vortex (vison) states and energies. The fractionalized excitations reflect the topological order of the ground state which is evinced by its fourfold degeneracy on the torus -- a degeneracy which is unrelated to translational or rotational symmetry -- and is described by a $Z_2$ gauge theory. Our model is related to the quantum dimer model and is a member of a family of topologically-ordered models, one of which is integrable and realizes the toric quantum error correction code.
description: Final version accepted for publication in Phys. Rev. B. Two new figures and several clarifications have been added
A two-fluid model for numerical simulation of shear-dominated suspension flows
Creators: name: Municchi, Federico
name: Nagrani, Pranay P.
name: Christov, Ivan C.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: Suspension flows are ubiquitous in nature (hemodynamics, subsurface fluid mechanics, etc.) and industrial applications (hydraulic fracturing, CO$_2$ storage, etc.). However, such flows are notoriously difficult to model due to the variety of fluid-particle and particle-particle interactions that can occur. In this work, we focus on non-Brownian shear-dominated suspensions, where kinetic collisions are negligible and frictional effects play a dominant role. Under these circumstances, irreversible phenomena such as particle diffusion and migration arise, requiring anisotropic stress models to describe the suspension rheology. On a continuum level, reduced-order models such as the suspension balance model (SBM) or the diffusive flux model are commonly used to predict particle migration phenomena. We propose a new method based on a two-fluid model (TFM), where both the phases are considered as interpenetrating continua with their own conservation of mass and momentum equations. Without employing the nowadays customary simplifications in applying the SBM, we close the ``full'' TFM instead. Specifically, we show that when an anisotropic stress analogous to that used in the SBM is added to the equilibrium equations for the particle phase, the TFM is able to accurately predict particle migration. Thus, the TFM does not require the assumptions of a steady suspension velocity and a Stokesian (inertialess) fluid, and the TFM can be easily extended to include buoyancy and even kinetic collisional models. We present several benchmark simulations of our TFM implementation in OpenFOAM{\textsuperscript\textregistered}, including in curvilinear coordinates and three-dimensional flow. Good agreement between the TFM solutions and previous experimental and numerical results is found.
description: 22 pages, 13 figures; v2 corrects some typos; v3 and v4: minor revisions
Additional file 1: of Reduced expression of somatostatin in GABAergic interneurons derived from induced pluripotent stem cells of patients with parkin mutations
Creators: name: Iwasawa, Chizuru
name: Kuzumaki, Naoko
name: Suda, Yukari
name: Kagawa, Reiko
name: Oka, Yuko
name: Hattori, Nobutaka
name: Okano, Hideyuki
name: Narita, Minoru
Publisher: name: figshare
Year: 2019
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: FOS: Biological sciences

description: Table S1. Real-time PCR primer. (PDF 99.6 kb)
Additional file 1 of Echocardiographic features of right ventricle in septic patients with elevated central venous pressure
Creators: name: Zhang, Hongmin
name: Zhang, Dingding
name: Lian, Hui
name: Zhang, Qing
name: Chen, Xiukai
name: Wang, Xiaoting
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Marine Biology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Supplementary Material 1.
Top-antitop pair production via $b$-quark initiated processes at the Large Hadron Collider
Creators: name: Moretti, Stefano
Publisher: name: arXiv
Year: 1997
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study $bt\bar t$ production via subprocesses initiated by $b$-quarks at the Large Hadron Collider. Both QCD and electroweak interactions are included in the elementary scattering amplitudes for $bg\to b t\bar t$. Since the additional jet in the final state (arising from the bottom quark) is in most cases at very low transverse momentum and very high pseudorapidity, it tends to escape detection. Therefore, such a process can act as a background to double-top as well as to single-top channels exploited in top quark phenomenology at present and future hadron colliders. Furthermore, if the additional $b$-jet can be tagged then $bt\bar t$ samples can be exploited in constraining possible effects of New Physics. The relevance of this reaction in such contexts is discussed and various total and differential rates of phenomenological interest are given
description: 29 pages, latex, epsfig, 6 postscript figures, complete paper available at ftp://axpa.hep.phy.cam.ac.uk/moretti/cavendish_9703 and at http://www.hep.phy.cam.ac.uk/theory/papers/
Unconventional anomalous Hall effect in 3d/5d multilayers mediated by the nonlocal spin-conductivity
Creators: name: Dang, T. Huong
name: Barbedienne, Q.
name: To, Q. D.
name: Rongione, E.
name: Reyren, N.
name: Godel, F.
name: Collin, S.
name: George, J. M.
name: Jaffrès, H.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We evidenced unconventionnal Anomalous Hall Effects (AHE) in 3d/5d (Co0.2nm/Ni0.6nm)N multilayers grown on a thin Pt layer or thin Au:W alloy. The inversion observed on AHE originates from the opposite sign of the spin-orbit coupling of Pt compared to Ni. Via advanced simulations methods for the description of the spin-current profiles based on the spin-dependent Boltzmann formalism, we extracted the spin Hall angle (SHA) of Pt and (Co/Ni) as well as the relevant transport parameters. The extracted SHA for Pt, +20%, is opposite to the one of (Co/Ni), giving rise to an effective AHE inversion for thin (Co/Ni) multilayers (N < 17). The spin Hall angle in Pt is found to be larger than the one previously measured in combined spin-pumping inverse spin-Hall effect experiments in a geometry of current perpendicular to plane. Whereas magnetic proximity effects cannot explain the effect, spin-current leakage and anisotropic electron scattering at Pt/(Co,Ni) interfaces fit the experiments.
description: 7 pages, 2 figures
Additional file 10: of Absence of herb-drug interactions of mistletoe with the tamoxifen metabolite (E/Z)-endoxifen and cytochrome P450 3A4/5 and 2D6 in vitro
Creators: name: U. Weissenstein
name: M. Kunz
name: M. Oufir
name: J. Wang
name: M. Hamburger
name: K. Urech
name: U. Regueiro
name: S. Baumgartner
Publisher: name: figshare
Year: 2019
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Developmental Biology
subject: Cancer
subject: Computational Biology

description: Figure S7. Apoptosis induction (%) in MCF-7 cells after 3d treatment with endoxifen in combination with VAEM. Mean values (±SE) of (A) early apoptosis in the presence of 0.5 μM β-estradiol (E2) (B) late apoptosis/necrosis in the presence of 0.5 μM β-estradiol, (C) early apoptosis in the absence of 0.5 μM β-estradiol and (D) late apoptosis/necrosis in the absence of 0.5 μM β-estradiol are presented (*p < 0.05, **p
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
Creators: name: Ciriano, Isidro Cortes
name: Bender, Andreas
Publisher: name: arXiv
Year: 2018
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The application of convolutional neural networks (ConvNets) to harness high-content screening images or 2D compound representations is gaining increasing attention in drug discovery. However, existing applications often require large data sets for training, or sophisticated pretraining schemes. Here, we show using 33 IC50 data sets from ChEMBL 23 that the in vitro activity of compounds on cancer cell lines and protein targets can be accurately predicted on a continuous scale from their Kekule structure representations alone by extending existing architectures, which were pretrained on unrelated image data sets. We show that the predictive power of the generated models is comparable to that of Random Forest (RF) models and fully-connected Deep Neural Networks trained on circular (Morgan) fingerprints. Notably, including additional fully-connected layers further increases the predictive power of the ConvNets by up to 10%. Analysis of the predictions generated by RF models and ConvNets shows that by simply averaging the output of the RF models and ConvNets we obtain significantly lower errors in prediction for multiple data sets, although the effect size is small, than those obtained with either model alone, indicating that the features extracted by the convolutional layers of the ConvNets provide complementary predictive signal to Morgan fingerprints. Lastly, we show that multi-task ConvNets trained on compound images permit to model COX isoform selectivity on a continuous scale with errors in prediction comparable to the uncertainty of the data. Overall, in this work we present a set of ConvNet architectures for the prediction of compound activity from their Kekule structure representations with state-of-the-art performance, that require no generation of compound descriptors or use of sophisticated image processing techniques.
Additional file 1: of Concurrent regulation of LKB1 and CaMKK2 in the activation of AMPK in castrate-resistant prostate cancer by a well-defined polyherbal mixture with anticancer properties
Creators: name: MacDonald, Amber
name: Bettaieb, Ahmed
name: Donohoe, Dallas
name: Alani, Dina
name: Han, Anna
name: Zhao, Yi
name: Whelan, Jay
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Biotechnology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Cancer
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Virology

description: Figure S1. Effect of Zyflamend on the proliferation of a castrate resistant prostate cancer cells in vitro. CWR22Rv1 cells were treated with Zyflamend (0–200 μg/ml) from 0 to 96 h and cell proliferation was monitored using the MTT assay. (PDF 71 kb)
Network Together: Node Classification via Cross network Deep Network Embedding
Creators: name: Shen, Xiao
name: Dai, Quanyu
name: Mao, Sitong
name: Chung, Fu-lai
name: Choi, Kup-Sze
Publisher: name: arXiv
Year: 2019
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Network embedding is a highly effective method to learn low-dimensional node vector representations with original network structures being well preserved. However, existing network embedding algorithms are mostly developed for a single network, which fail to learn generalized feature representations across different networks. In this paper, we study a cross-network node classification problem, which aims at leveraging the abundant labeled information from a source network to help classify the unlabeled nodes in a target network. To succeed in such a task, transferable features should be learned for nodes across different networks. To this end, a novel cross-network deep network embedding (CDNE) model is proposed to incorporate domain adaptation into deep network embedding so as to learn label-discriminative and network-invariant node vector representations. On one hand, CDNE leverages network structures to capture the proximities between nodes within a network, by mapping more strongly connected nodes to have more similar latent vector representations. On the other hand, node attributes and labels are leveraged to capture the proximities between nodes across different networks by making the same labeled nodes across networks have aligned latent vector representations. Extensive experiments have been conducted, demonstrating that the proposed CDNE model significantly outperforms the state-of-the-art network embedding algorithms in cross-network node classification.
description: Codes and Datasets are available at https://github.com/shenxiaocam/CDNE. Please cite our paper as: X. Shen, Q. Dai, S. Mao, F. Chung and K. Choi, "Network Together: Node Classification via Cross-Network Deep Network Embedding," in IEEE Transactions on Neural Networks and Learning Systems, early access, Jun. 4, 2020
Reflection symmetry at a B=0 metal-insulator transition in two dimensions
Creators: name: Simonian, D.
name: Kravchenko, S. V.
name: Sarachik, M. P.
Publisher: name: arXiv
Year: 1996
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We report a remarkable symmetry between the resistivity and conductivity on opposite sides of the B=0 metal-insulator transition in a two-dimensional electron gas in high-mobility silicon MOSFET's. This symmetry implies that the transport mechanisms on the two sides are related.
description: The substance of the paper is unchanged but we have given a more appropriate credit to earlier work
Additional file 1 of Effectiveness and cost-effectiveness of community-based mental health services for individuals with severe mental illness in Iran: a systematic review and meta-analysis
Creators: name: Taban, Mozhgan
name: Nooraeen, Sara
name: Tanha, Kiarash
name: Moradi-Lakeh, Maziar
name: Malakouti, Seyed Kazem
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 1.
title: Transcription d'un entretien auprès d’une femme âgée d’une cinquantaine d’années à Merzouga dans le sud du Maroc
Creators: name: Gélard, Marie-Luce
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2017

description: Source: T-4896
description: L’enquête démarre sur des discussions entre les différentes personnes présentes au cours de l’entretien avec, en fond, un environnement sonore assez bruyant. L’enquête débute sur la première tétée. L’informatrice explique qu’avant de donner le sein à son enfant, le jour de la naissance, elle ne lui a donné que de l’eau sucrée et un peu de verveine. L’informatrice raconte qu’elle a consommé de la cannelle bouillie dans de l’eau durant le dernier mois avant l’accouchement. L’informatrice évoque également les contractions et le déroulement du jour de l’accouchement. L’informatrice reprend la discussion des pratiques du jour de la naissance. Elle raconte qu’elle a allaité ses enfants sur une période d’environ un an et demi. L’enquêtrice guide la discussion sur le sujet du colostrum. L’informatrice le décrit comme étant clair comme de l’eau mais elle n’en connaît pas le goût. Elle précise que le colostrum dure entre trois et quatre jours et que toutes les femmes en produisent, comme la chèvre et la brebis. Au cours de l’enquête, l’informatrice évoque également la religion et l’allaitement. Elle décrit le déroulement de l’accouchement et les premiers soins qui sont donnés à la naissance. La reprise des rapports sexuels est également évoquée. L’informatrice raconte que dans sa famille, la mère et l’enfant ne sont lavés que le septième jour après la naissance. À la fin de l’enquête sont évoqués la mortalité infantile chez les enfants de moins d'un an et la consommation de colostrum animal par les adultes.
$s$- and $d_{xy}$-wave components induced around a vortex in $d_{x^2-y^2}$-wave superconductors
Creators: name: Ichioka, M.
name: Enomoto, N.
name: Hayashi, N.
name: Machida, K.
Publisher: name: arXiv
Year: 1995
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Vortex structure of $d_{x^2-y^2}$-wave superconductors is microscopically analyzed in the framework of the quasi-classical Eilenberger equations. If the pairing interaction contains an $s$-wave ($d_{xy}$-wave) component in addition to a $d_{x^2-y^2}$-wave component, the $s$-wave ($d_{xy}$-wave) component of the order parameter is necessarily induced around a vortex in $d_{x^2-y^2}$-wave superconductors. The spatial distribution of the induced $s$-wave and $d_{xy}$-wave components is calculated. The $s$-wave component has opposite winding number around vortex near the $d_{x^2-y^2}$-vortex core and its amplitude has the shape of a four-lobe clover. The amplitude of $d_{xy}$-component has the shape of an octofoil. These are consistent with results based on the GL theory.
description: RevTex,9 pages, 6 figures in a uuencoded file
Ocypus (Pseudocypus) lewisius Sharp 1874
Creators: name: Kim, Donguk
name: Kim, Dooyoung
name: Kim, Dongmin
name: Kim, Young-Kun
name: Suh, Sang Jae
name: Choi, Kwang Shik
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Staphylinidae
Ocypus
Ocypus lewisius

description: Ocypus (Pseudocypus) lewisius Sharp, 1874
Notes
Cho (2019).
description: Published as part of Kim, Donguk, Kim, Dooyoung, Kim, Dongmin, Kim, Young-Kun, Suh, Sang Jae & Choi, Kwang Shik, 2025, Faunistic study of Coleoptera (Buprestidae, Carabidae, Cerambycidae, Lucanidae and Melyridae) on Gageodo Island, south-westernmost Korean Peninsula, pp. e 146229 in Biodiversity Data Journal 13 on page e146229, DOI: 10.3897/BDJ.13.e146229
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication
Creators: name: Magnússon, Sindri
name: Shokri-Ghadikolaei, Hossein
name: Li, Na
Publisher: name: arXiv
Year: 2019
Subjects: subject: Optimization and Control (math.OC)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: In distributed optimization and machine learning, multiple nodes coordinate to solve large problems. To do this, the nodes need to compress important algorithm information to bits so that it can be communicated over a digital channel. The communication time of these algorithms follows a complex interplay between a) the algorithm's convergence properties, b) the compression scheme, and c) the transmission rate offered by the digital channel. We explore these relationships for a general class of linearly convergent distributed algorithms. In particular, we illustrate how to design quantizers for these algorithms that compress the communicated information to a few bits while still preserving the linear convergence. Moreover, we characterize the communication time of these algorithms as a function of the available transmission rate. We illustrate our results on learning algorithms using different communication structures, such as decentralized algorithms where a single master coordinates information from many workers and fully distributed algorithms where only neighbours in a communication graph can communicate. We conclude that a co-design of machine learning and communication protocols are mandatory to flourish machine learning over networks.
Repurposing Residuals: Art, Material, and Memory in the Long War on Terror
Creators: name: Ahmed, Sarah Mostafa
Publisher: name: University of Illinois Chicago
Year: 2025

description: The geopolitical and military conflicts that constitute the “long war on terror,” a continuum of US state violence that stretches from the 1960s to the present, have resulted in the surveillance of individuals and organizations, erasure and withholding of information, exclusion of narratives, dehumanization of racialized social groups, partnerships along racial regimes, disappearance of individuals, and the creation of cruel conditions. Along the way, the United States and its allies have left residuals - materials that remain or are born from expressions and practices of state violence - that artists have repurposed to make sense of their conditions. This study explores how dispossessed and dissident artists have repurposed residual state materials that emerge from or uphold state violence to create relational possibilities that allow them to craft new ways of seeing and communicating, subvert the dominant archive and its silences, and engage public memory around erased histories and disappeared people. I focus on four contemporary art projects: Sadie Barnette’s My Father’s FBI File, Project 1 (2016); Chitra Ganesh and Mariam Ghani’s Introduction to an Index (2011); Razan Al-Salah’s your father was born 100 years old, and so was the Nakba (2017); and Shukri Abu Baker’s “Bread & Beads” project. I argue that repurposing residual materials of state violence provides artists with an opportunity to transcend the limitations of their precarious conditions and points to the fragility of the state’s methods.
title: ADCO, Troisième cartulaire de Saint-Étienne de Dijon (XVIe), Cart. 23 (G 127), 310 folios, f. 00207
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2011
name: Petot, Frédéric
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Troisième cartulaire de Saint-Étienne de Dijon (XVIe), Archives départementales de la Côte-d'Or, Cart. 23 (G 127), 310 folios, f. 00207, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Troisième cartulaire de Saint-Étienne de Dijon (XVIe), Archives départementales de la Côte-d'Or, Cart. 23 (G 127), 310 folios, f. 00207, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https://manuscrits.cbma-project.eu/
description: Provenance: abbaye Saint-Étienne de Dijon
description: Provenance: http://www.wikidata.org/entity/Q15945019
Supplementary document for Intercomparison of flux, gradient, and variance-based optical turbulence (Cn²) parameterizations - 6965403.pdf
Creators: name: Pierzyna, Maximilian
name: Hartogensis, Oscar
name: Basu, Sukanta
name: Saathof, Rudolf
Publisher: name: Optica Publishing Group
Year: 2024
Subjects: Uncategorized

description: Supplement 1
Experimental Low-Latency Device-Independent Quantum Randomness
Creators: name: Zhang, Yanbao
name: Shalm, Lynden K.
name: Bienfang, Joshua C.
name: Stevens, Martin J.
name: Mazurek, Michael D.
name: Nam, Sae Woo
name: Abellán, Carlos
name: Amaya, Waldimar
name: Mitchell, Morgan W.
name: Fu, Honghao
name: Miller, Carl A.
name: Mink, Alan
name: Knill, Emanuel
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Applications of randomness such as private key generation and public randomness beacons require small blocks of certified random bits on demand. Device-independent quantum random number generators can produce such random bits, but existing quantum-proof protocols and loophole-free implementations suffer from high latency, requiring many hours to produce any random bits. We demonstrate device-independent quantum randomness generation from a loophole-free Bell test with a more efficient quantum-proof protocol, obtaining multiple blocks of $512$ bits with an average experiment time of less than $5$ min per block and with a certified error bounded by $2^{-64}\approx 5.42\times 10^{-20}$.
description: 4.5 pages (main text) + 8.5 pages (supplemental material), the version accepted to PRL
Philonthus (Philonthus) sublucanus Herman 2001
Creators: name: Kim, Donguk
name: Kim, Dooyoung
name: Kim, Dongmin
name: Kim, Young-Kun
name: Suh, Sang Jae
name: Choi, Kwang Shik
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Staphylinidae
Philonthus
Philonthus sublucanus

description: Philonthus (Philonthus) sublucanus Herman, 2001
Notes
Cho (2014).
description: Published as part of Kim, Donguk, Kim, Dooyoung, Kim, Dongmin, Kim, Young-Kun, Suh, Sang Jae & Choi, Kwang Shik, 2025, Faunistic study of Coleoptera (Buprestidae, Carabidae, Cerambycidae, Lucanidae and Melyridae) on Gageodo Island, south-westernmost Korean Peninsula, pp. e 146229 in Biodiversity Data Journal 13 on page e146229, DOI: 10.3897/BDJ.13.e146229
Deconfinement Transition and Bound States in Frustrated Heisenberg Chains: Regimes of Forced and Spontaneous Dimerization
Creators: name: Zheng, Weihong
name: Hamer, C. J.
name: Singh, R. R. P.
name: Trebst, Simon
name: Monien, Hartmut
Publisher: name: arXiv
Year: 2000
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We use recently developed strong-coupling expansion methods to study the two-particle spectra for the frustrated alternating Heisenberg model, consisting of an alternating nearest neighbor antiferromagnetic exchange and a uniform second neighbor antiferromagnetic exchange. Starting from the limit of weakly coupled dimers, we develop high order series expansions for the effective Hamiltonian in the two-particle subspace. In the limit of a strong applied dimerization, we calculate accurately various properties of singlet and triplet bound states and quintet antibound states. We also develop series expansions for bound state energies in various sectors, which can be extrapolated using standard methods to cases where the external bond-alternation goes to zero. We study the properties of singlet and triplet bound states in the latter limit and suggest a crucial role for the bound states in the unbinding of triplets and deconfinement of spin-half excitations.
description: 17 figures, revtex