cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Schizopria flaviclava Kieffer 1912
Creators: name: Notton, David G.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Schizopria
Schizopria flaviclava

description: Schizopria flaviclava Kieffer, 1912a: 68, 69.
Valid name
Entomacis flaviclava (Kieffer, 1912).
Summary of types
Holotype ♀, BMNH number 9.684, by monotypy.
Primary type data
High jungle/ 126; Silhouette, ’08-9./ Seychelles Exp.; Schizopria / flaviclava/ J.J.Kieffer/ type.; Type; Type / H.T.; Seychelle Islands./ Percy Sladen Trust/ Expedition./ 1913-170.
Type locality
Seychelles, Silhouette, Mare aux Cochons.
Remarks
The holotype is mounted on a card and is entire. The antenna is sub-12 segmented, the club apparently formed of two closely joined segments.
description: Published as part of Notton, David G., 2014, A catalogue of the types of Diapriinae (Hymenoptera, Diapriidae) at the Natural History Museum, London, pp. 1-123 in European Journal of Taxonomy 75 on pages 74-75, DOI: 10.5852/ejt.2014.75, http://zenodo.org/record/3862773
Evolution of One-Dimensional Wind-Driven Sea Spectra
Creators: name: Dyachenko, A. I.
name: Kachulin, D. I.
name: Zakharov, V. E.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: We analyze modern operational models of wind wave prediction on the subject for compliance dissipation. Our numerical simulations from the "first principle" demonstrate that heuristic formulas for damping rate of free wind sea due to "white capping" (or wave breaking) dramatically exaggerates the role of this effect in these models.
Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys
Creators: name: Teichert, Gregory
name: Natarajan, Anirudh
name: Van der Ven, Anton
name: Garikipati, Krishna
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: The free energy plays a fundamental role in descriptions of many systems in continuum physics. Notably, in multiphysics applications, it encodes thermodynamic coupling between different fields. It thereby gives rise to driving forces on the dynamics of interaction between the constituent phenomena. In mechano-chemically interacting materials systems, even consideration of only compositions, order parameters and strains can render the free energy to be reasonably high-dimensional. In proposing the free energy as a paradigm for scale bridging, we have previously exploited neural networks for their representation of such high-dimensional functions. Specifically, we have developed an integrable deep neural network (IDNN) that can be trained to free energy derivative data obtained from atomic scale models and statistical mechanics, then analytically integrated to recover a free energy density function. The motivation comes from the statistical mechanics formalism, in which certain free energy derivatives are accessible for control of the system, rather than the free energy itself. Our current work combines the IDNN with an active learning workflow to improve sampling of the free energy derivative data in a high-dimensional input space. Treated as input-output maps, machine learning accommodates role reversals between independent and dependent quantities as the mathematical descriptions change with scale bridging. As a prototypical system we focus on Ni-Al. Phase field simulations using the resulting IDNN representation for the free energy density of Ni-Al demonstrate that the appropriate physics of the material have been learned. To the best of our knowledge, this represents the most complete treatment of scale bridging, using the free energy for a practical materials system, that starts with electronic structure calculations and proceeds through statistical mechanics to continuum physics.
[B.4.05.a.4.] Militaire de carrière
Creators: name: L'Humanité (Périodique)
Publisher: name: École des Hautes Études en Sciences Sociales; Éditions de l'Humanité
Year: 2023
Subjects: http://www.idref.fr/027280470/id
http://www.idref.fr/050613995/id
http://www.idref.fr/03470499X/id
http://www.idref.fr/027261468/id
http://www.idref.fr/027416593/id

Abstract
Understanding the dynamics of message passing algorithms: a free probability heuristics
Creators: name: Opper, Manfred
name: Çakmak, Burak
Publisher: name: arXiv
Year: 2020
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We use freeness assumptions of random matrix theory to analyze the dynamical behavior of inference algorithms for probabilistic models with dense coupling matrices in the limit of large systems. For a toy Ising model, we are able to recover previous results such as the property of vanishing effective memories and the analytical convergence rate of the algorithm.
description: 11 pages, 2 figures. Presented at the conference "Random Matrix Theory: Applications in the Information Era'' 2019 Krak\'{o}w
Additional file 1 of Renal thrombotic microangiopathy and nephrotic proteinuria induced by intravitreal injection of aflibercept for diabetic macular edema
Creators: name: Kikuchi, Yawara
name: Odashima, Yoshimi
name: Yoshikawa, Kazuhiro
name: Oda, Tomoyasu
name: Tanaka, Fumitaka
name: Oikawa, Hiroki
name: Ishigaki, Yasushi
name: Asahi, Koichi
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Marine Biology
subject: Cancer
subject: Science Policy

description: Additional file 1: Table 1. Summary of literature on renal biopsy after intravitreal injection of vascular endothelial growth factor inhibitors.
R from Zero to Hero (Arabic)
Creators: name: Almarzouq, Batool
Publisher: name: Zenodo
Year: 2022
Subjects: open science
rstats
open educational resources
communities
git
data science
version control
Saudi Arabia's 2030 vision
visualisation
README.md
Citable code
Open Data
Rstats

description: This is a course designed by Batool Almarzouq and delivered in JeelAIDM. All Materials are licensed under CC-BY license. CC-BY license means you can re-use, modify and build upon the materials with attribution to the source. The course is delivered over six weeks, with two sessions each week, each lasting two hours. Week Session 1 Introduction to R and Open Science 1 Project Management 2 R Markdown 2 GitHub in RStudio 3 Tidydata 3 Tidyverse 4 ggplot2 Part 1 4 ggplot2 Part 2 5 YAML in R Markdown 5 Blogging in R 6 Reproducibility with renv 6 Create your first R package!
 The Slides are accompanied by live coding in this GitHub repository associated.
description: The author acknowledges JeelAIDM for making the materials open
First- and second-order phase transitions between the uniform and FFLO excitonic states in the three-chain Hubbard model for Ta2NiSe5
Creators: name: Domon, Kaoru
name: Yamada, Takemi
name: Ōno, Yoshiaki
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We examine the free energy and the thermodynamic properties in the three-chain Hubbard model for Ta2NiSe5 to clarify the phase transitions between the uniform and the FFLO excitonic states which are expected to be observed in Ta2NiSe5 under high pressure.
description: 3 pages, 3 figures
In situ kinetics studies of Zn-Al LDH intercalation with corrosion related species
Creators: name: Iuzviuk, Mariia H.
name: Bouali, Anissa C.
name: Serdechnova, Maria
name: Yasakau, Kiryl A.
name: Wieland, D. C. Florian
name: Dovzhenko, Gleb
name: Mikhailau, Aliaksandr
name: Blawert, Carsten
name: Zobkalo, Igor A.
name: Ferreira, Mario G. S.
name: Zheludkevich, Mikhail L.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Kinetics parameters for three anion exchange reactions - Zn-LDH-NO3 - Zn-LDH-Cl, Zn-LDH-NO3 - Zn-LDH-SO4 and Zn-LDH-NO3 - Zn-LDH-VOx - were obtained by in situ synchrotron study. The first and the second ones are two-stage reactions; the first stage is characterized by the two-dimensional diffusion-controlled reaction following deceleratory nucleation and the second stage is a one-dimensional diffusion-controlled reaction also with a decelerator nucleation effect. In the case of exchange NO3 - Cl host anions are completely released, while in the case of NO3 - SO42 the reaction ends without complete release of nitrate anions. The exchange of Zn-LDH-NO3 - Zn-LDH-VOx is one-stage reaction and goes much slower than the previous two cases. It is characterized by a one stage two-dimensional reaction and nucleation considered to be instantaneous in this case. As a result, at the end of this process there are two crystalline phases with different polyvanadate species, presumably V4O124 and V2O74, nitrate anions were not completely released. The rate of replacing NO3 anions by guest ones can be represented as Cl > SO42 > VOxy.
Effect of disorder on the dimer transition of the honeycomb-lattice compound Li$_{2}$RuO$_3$
Creators: name: Jimenez-Segura, Marco-Polo
name: Ikeda, Atsutoshi
name: Yonezawa, Shingo
name: Maeno, Yoshiteru
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We report the dependence of magnetic properties on the crystalline disorder in Li$_{2}$RuO$_3$ with Ru honeycomb lattice. This oxide exhibits unconventional Ru-dimer transition below $T_\text{d} \sim$ 540 K. We demonstrate that the cell parameters, related to the coherence of the dimer formation, are strongly dependent on the synthesis procedure. We show that the magnetic behavior at the dimer transition is closely related to the lattice parameters. In particular, we revealed that samples with well-ordered dimers exhibit a first-order magnetic transition with the onset exceeding 550~K, higher than that reported previously. We discuss possible dimer configurations leading to this magneto-lattice coupling.
description: 6 figures, 7 pages
Convolutional Hierarchical Attention Network for Query-Focused Video Summarization
Creators: name: Xiao, Shuwen
name: Zhao, Zhou
name: Zhang, Zijian
name: Yan, Xiaohui
name: Yang, Min
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Previous approaches for video summarization mainly concentrate on finding the most diverse and representative visual contents as video summary without considering the user's preference. This paper addresses the task of query-focused video summarization, which takes user's query and a long video as inputs and aims to generate a query-focused video summary. In this paper, we consider the task as a problem of computing similarity between video shots and query. To this end, we propose a method, named Convolutional Hierarchical Attention Network (CHAN), which consists of two parts: feature encoding network and query-relevance computing module. In the encoding network, we employ a convolutional network with local self-attention mechanism and query-aware global attention mechanism to learns visual information of each shot. The encoded features will be sent to query-relevance computing module to generate queryfocused video summary. Extensive experiments on the benchmark dataset demonstrate the competitive performance and show the effectiveness of our approach.
description: Accepted by AAAI 2020 Conference
PULSE: Optical circuit switched Data Center architecture operating at nanosecond timescales
Creators: name: Benjamin, Joshua L.
name: Gerard, Thomas
name: Lavery, Domaniç
name: Bayvel, Polina
name: Zervas, Georgios
Publisher: name: arXiv
Year: 2020
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: We introduce PULSE, a sub-microsecond optical circuit-switched data centre network architecture controlled by distributed hardware schedulers. PULSE is a flat architecture that uses parallel passive coupler-based broadcast and select networks. We employ a novel transceiver architecture, for dynamic wavelength-timeslot selection, to achieve a reconfiguration time down to O(100ps), establishing timeslots of O(10ns). A novel scheduling algorithm that has a clock period of 2.3ns performs multiple iterations to maximize throughput, wavelength usage and reduce latency, enhancing the overall performance. In order to scale, the single-hop PULSE architecture uses sub-networks that are disjoint by using multiple transceivers for each node in 64 node racks. At the reconfiguration circuit duration (epoch = 120 ns), the scheduling algorithm is shown to achieve up to 93% throughput and 100% wavelength usage of 64 wavelengths, incurring an average latency that ranges from 0.7-1.2 microseconds with best-case 0.4 microsecond median and 5 microsecond tail latency, limited by the timeslot (20 ns) and epoch size (120 ns). We show how the 4096-node PULSE architecture allows up to 260k optical channels to be re-used across sub-networks achieving a capacity of 25.6 Pbps with an energy consumption of 85 pJ/bit.
description: 16 pages, 12 figures
HgCdTe-based quantum cascade lasers operating in the GaAs phonon Reststrahlen band predicted by the balance equations method
Creators: name: Ushakov, D. V.
name: Afonenko, A. A.
name: Khabibullin, R. A.
name: Ponomarev, D. S.
name: Aleshkin, V. Ya.
name: Morozov, S. V.
name: Dubinov, A. A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: HgCdTe-based quantum cascade lasers operating in the GaAs phonon Reststrahlen band with a target wavelength of 36 mkm are theoretically investigated using the balance equations method. The optimized active region designs, which are based on three and two quantum wells, exhibit a peak gain exceeding 100 cm(-1) at 150 K. We analyze the temperature dependences of the peak gain and predict the maximum operation temperatures of 170 K and 225 K for three- and two-well designs, respectively. At high temperatures (T > 120 K), the better temperature performance of the two-well design is associated with a larger spatial overlap of the weakly localized lasing wavefunctions as well as a higher population inversion.
Model-based wavefront shaping microscopy
Creators: name: Thendiyammal, Abhilash
name: Osnabrugge, Gerwin
name: Knop, Tom
name: Vellekoop, Ivo M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: Wavefront shaping is increasingly being used in modern microscopy to obtain distortion-free, high-resolution images deep inside inhomogeneous media. Wavefront shaping methods typically rely on the presence of a 'guidestar' in order to find the optimal wavefront to mitigate the scattering of light. However, this condition cannot be satisfied in most biomedical applications. Here, we introduce a novel, guidestar-free wavefront shaping method in which the optimal wavefront is computed using a digital model of the sample. The refractive index model of the sample, that serves as the input for the computation, is constructed in-situ by the microscope itself. In a proof of principle imaging experiment, we demonstrate a large improvement in the two-photon fluorescence signal through a diffuse medium, outperforming the state-of-the-art wavefront shaping techniques by a factor of 21.
Correlations between zeros and critical points of random analytic functions
Creators: name: Feng, Renjie
Publisher: name: arXiv
Year: 2016
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We study the two-point correlation $K^m_n(z,w)$ between zeros and critical points of Gaussian random holomorphic sections $s_n$ over Kähler manifolds. The critical points are points $\nabla_{h^n} s_n=0$ where $\nabla_{h^n}$ is the smooth Chern connection with respect to the Hermitian metric $h^n$ on line bundle $L^n$. The main result is that the rescaling limit of $K^m_n(z_0+\frac u{\sqrt n}, z_0+\frac v{\sqrt n})$ for any $z_0\in M$ is universal as $n$ tends to infinity. In fact, the universal rescaling limit is the two-point correlation between zeros and critical points of Gaussian analytic functions for the Bargmann-Fock space of level $1$. Furthermore, there is a 'repulsion' between zeros and critical points for the short range; and a 'neutrality' for the long range.
description: Changes to introduction and other minor changes; 18 pages, 0 figure. Section 2 of Background on the basic concepts of Gaussian random sections has the text overlap with the section of Background in arXiv:1511.02383
Comunicación "La figura del showrunner en la producción audiovisual de series de ficción televisiva"
Creators: name: Higueras Ruiz, María José
Publisher: name: Zenodo
Year: 2017

description: Presentación de la Comunicación “La figura del showrunner en la producción audiovisual de series de ficción televisiva” el 1 de junio de 2017 en las III Jornadas Doctorales organizado por la Escuela Internacional de Doctorado de la Universidad de Murcia.
The Conditional Entropy Bottleneck
Creators: name: Fischer, Ian
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Much of the field of Machine Learning exhibits a prominent set of failure modes, including vulnerability to adversarial examples, poor out-of-distribution (OoD) detection, miscalibration, and willingness to memorize random labelings of datasets. We characterize these as failures of robust generalization, which extends the traditional measure of generalization as accuracy or related metrics on a held-out set. We hypothesize that these failures to robustly generalize are due to the learning systems retaining too much information about the training data. To test this hypothesis, we propose the Minimum Necessary Information (MNI) criterion for evaluating the quality of a model. In order to train models that perform well with respect to the MNI criterion, we present a new objective function, the Conditional Entropy Bottleneck (CEB), which is closely related to the Information Bottleneck (IB). We experimentally test our hypothesis by comparing the performance of CEB models with deterministic models and Variational Information Bottleneck (VIB) models on a variety of different datasets and robustness challenges. We find strong empirical evidence supporting our hypothesis that MNI models improve on these problems of robust generalization.
Screening of the quantum dot Förster coupling at small distances
Creators: name: Carlson, Chelsea
name: Knorr, Andreas
name: Hughes, Stephen
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We study the near-field energy transfer rates between two finite size quantum dot disks, generalizing the result of Förster coupling between two point dipoles. In particular, we derive analytical results for the envelope of the electronic wavefunction for model potentials at the boundaries of quantum dot disks and demonstrate how the Förster interaction is screened as the size of the dots becomes comparable to the dot-dot separation.
description: 5 pages, 2 figures
Experimental Investigation on Microstructural Property of Expansive Soil Stabilized with Iron Ore Tailing & Lime
Creators: name: Binyam Dessu
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Iron ore Tailing (IOT) & Scanning electron microscope (SEM)

description: Black cotton soils are poor materials to employ in highway or airfield construction because they
 contain a higher percentage of clay content. However, researchers have been intensified into new
 and innovative use of industrial waste material are continually being advanced, particularly
 concerning the usability, feasibility, environmental suitability, and performance of waste
 materials. In this study Iron ore tailing (IOT) which is an industrial by-product of the mining or
 extraction process iron ores used as stabilizer and lime to improve the strength and index properties
 of Black cotton soil (BCS). The study aimed to improve the geotechnical index property of BCS
 and its microstructural effect. Experimental analysis was done by three groups which are
 Problematic soil treated alone, BCS with 2, 4, 6, 8, 10, 12, 14, 16 IOT% and also BCS with 2%
 lime and 5, 10, 15, 20% IOT content by dry weight of soil. To meet the objective thesis
 experimental laboratory tests were done including according to ASHTO and ASTM standards.
 Test carried out include sieve analysis, hydrometer, Atterberg limits, specific gravity, free swell,
 compaction, California bearing ratio (CBR), unconfined compressive strength (UCS), and
 microstructural analysis done using Scanning Electron Microscopy (SEM) for BCS and treated
 samples by selecting based on strength and geotechnical index properties. SEM image analyses
 were done using Image J software. According to laboratory results, untreated soil is classified as
 A-7-5 (20) in AASHTO and MH in USCS systems. Experimental result shows that liquid limit of
 BCS decrease for both BCS-IOT and BCS-lime -IOT Content. Other hand plastic limit decrease
 with increasing IOT content while the Plasticity index decreases from 45 % for BCS to 24 % for
 2 % lime with 20 % IOT. Maximum dry density (MDD) of BCS was increased while Optimum
 moisture content (OMC) decreased with higher IOT content. OMC value recorded for BCS were
 29 % decreased to 20.60% & 19.31% for 16% IOT, 2 % lime and 20 % IOT respectively. The
 strength (i.e, UCS and CBR values) of treated soil significantly changed due to the addition of
 IOT, however addition 2% lime content to BCS changes enormously to peak value CBR recorded
 at 2 % lime and 15 % IOT. SEM results show changes in the morphology of clay particles and the
 concentration of calcium is higher on the border of the particles. Based on the experimental study,
 an optimal 2% lime and 15% IOT is recommended for the treatment of black cotton soil for use as
 subgrade material in road construction. The benefits of the application include a reduction in the
 environmental impact of the disposal of iron tailing.
Universal energy-accuracy tradeoffs in nonequilibrium cellular sensing
Creators: name: Harvey, S. E.
name: Lahiri, S.
name: Ganguli, S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Cell Behavior (q-bio.CB)
subject: Molecular Networks (q-bio.MN)
subject: Subcellular Processes (q-bio.SC)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: We combine stochastic thermodynamics, large deviation theory, and information theory to derive fundamental limits on the accuracy with which single cell receptors can estimate external concentrations. As expected, if estimation is performed by an ideal observer of the entire trajectory of receptor states, then no energy consuming non-equilibrium receptor that can be divided into bound and unbound states can outperform an equilibrium two-state receptor. However, when estimation is performed by a simple observer that measures the fraction of time the receptor is bound, we derive a fundamental limit on the accuracy of general nonequilibrium receptors as a function of energy consumption. We further derive and exploit explicit formulas to numerically estimate a Pareto-optimal tradeoff between accuracy and energy. We find this tradeoff can be achieved by nonuniform ring receptors with a number of states that necessarily increases with energy. Our results yield a novel thermodynamic uncertainty relation for the time a physical system spends in a pool of states, and generalize the classic 1977 Berg-Purcell limit on cellular sensing along multiple dimensions.
description: For associated mp4 files, see https://github.com/ganguli-lab/Energy_Accuracy_Tradeoff_Cellular_Sensing
Dynamic contrast in scanning microscopic OCT
Creators: name: Münter, Michael
name: Endt, Malte vom
name: Pieper, Mario
name: Casper, Malte
name: Ahrens, Martin
name: Kohlfaerber, Tabea
name: Rahmanzadeh, Ramtin
name: König, Peter
name: Hüttmann, Gereon
name: Schulz-Hildebrandt, Hinnerk
Publisher: name: arXiv
Year: 2020
Subjects: subject: Medical Physics (physics.med-ph)
subject: Image and Video Processing (eess.IV)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: While optical coherence tomography (OCT) provides a resolution down to 1 micrometer it has difficulties to visualize cellular structures due to a lack of scattering contrast. By evaluating signal fluctuations, a significant contrast enhancement was demonstrated using time-domain full-field OCT (FF-OCT), which makes cellular and subcellular structures visible. The putative cause of the dynamic OCT signal is ATP-dependent motion of cellular structures in a sub-micrometer range, which provides histology-like contrast. Here we demonstrate dynamic contrast with a scanning frequency-domain OCT (FD-OCT). Given the inherent sectional imaging geometry, scanning FD-OCT provides depth-resolved images across tissue layers, a perspective known from histopathology, much faster and more efficiently than FF-OCT. Both, shorter acquisition times and tomographic depth-sectioning reduce the sensitivity of dynamic contrast for bulk tissue motion artifacts and simplify their correction in post-processing. The implementation of dynamic contrast makes microscopic FD-OCT a promising tool for histological analysis of unstained tissues.
description: 7 pages, 3 figures, 1 Video available on request
A Polyhedral Study of the Static Probabilistic Lot-Sizing Problem
Creators: name: Liu, Xiao
name: Kucukyavuz, Simge
Publisher: name: arXiv
Year: 2016
Subjects: subject: Optimization and Control (math.OC)
subject: FOS: Mathematics

description: We study the polyhedral structure of the static probabilistic lot-sizing problem and propose valid inequalities that integrate information from the chance constraint and the binary setup variables. We prove that the proposed inequalities subsume existing inequalities for this problem, and they are facet-defining under certain conditions. In addition, we show that they give the convex hull description of a related stochastic lot-sizing problem. We propose a new formulation that exploits the simple recourse structure, which significantly reduces the number of variables and constraints of the deterministic equivalent program. This reformulation can be applied to general chance-constrained programs with simple recourse. The computational results show that the proposed inequalities and the new formulation are effective for the the static probabilistic lot-sizing problems.
Dodecanacci superconductor-metamaterial photonic quasicrystal
Creators: name: Nayak, Chittaranjan
name: Aghajamali, Alireza
name: Solaimani, Mehdi
name: Rakshit, Jayanta K.
name: Panigrahy, Damodar
name: Kumar, Kanaparthi V. P.
name: Ramakrishna, Bandaru
Publisher: name: arXiv
Year: 2020
Subjects: subject: Classical Physics (physics.class-ph)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Using the transfer matrix method, the present paper attempt to determine the properties of the photonic spectra of the Dodecanacci superconductor-metamaterial one-dimensional quasiperiodic multilayer. The numerical calculation is supported by using the transfer matrix method. At first, we analyze the transmission for Dodecanacci quasicrystal for different generations. After that, we analyze the effect of the thickness of the building blocks and the operating temperature. We observed that a vast number of forbidden bandgaps and transmission pecks are developed in its transmission spectra up to a certain generation number of Dodecanacci quasiperiodic sequence. If the generation number increases further, then the bandgaps become wider. According to the obtained results, depending on its generation, this structure can be used as an optical reflector or narrowband filter.
The effect of periodic spatial perturbations on the emission rates of quantum dots near graphene platforms
Creators: name: Miao, X.
name: Gosztola, D. J.
name: Ma, X.
name: Czaplewski, D.
name: Stan, L.
name: Grebel, H.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Quenching of fluorescence (FL) at the vicinity of conductive surfaces, and in particular, near a 2-D graphene layer has become an important biochemical sensing tool. The quenching is attributed to fast non-radiative energy transfer between a chromophore and the lossy conductor. Increased emission rate is also observed when the chromophore is coupled to a resonator. Here we combine the two effects in order to control the emission lifetime of the chromophore. In our case, the resonator was defined by an array of nano-holes in the oxide substrate underneath a graphene surface guide. We demonstrated an emission rate change by more than 50% as the sample was azimuthally rotated with respect to the polarization of the excitation laser. Such control over the emission life-time could be used to control resonance energy transfer (RET) between two chromophores.
description: 29 pages; 14 figures
Multi-scale Full-orbit Analysis on Phase-space Behavior of Runaway Electrons in Tokamak Fields with Synchrotron Radiation
Creators: name: Wang, Yulei
name: Qin, Hong
name: Liu, Jian
Publisher: name: arXiv
Year: 2016
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: In this paper, the secular full-orbit simulations of runaway electrons with synchrotron radiation in tokamak fields are carried out using a relativistic volume-preserving algorithm. Detailed phase-space behaviors of runaway electrons are investigated in different dynamical timescales spanning 11 orders. When looking into the small timescale, i.e., the characteristic timescale imposed by Lorentz force, the severely deformed helical trajectory of energetic runaway electron is witnessed. A qualitative analysis of the neoclassical scattering, a kind of collisionless pitch-angle scattering phenomena, is provided when considering the coupling between the rotation of momentum vector and the background magnetic field. In large timescale up to one second, it is found that the initial condition of runaway electrons in phase space globally influences the pitch-angle scattering, the momentum evolution, and the loss-gain ratio of runaway energy evidently. However, the initial value has little impact on the synchrotron energy limit. It is also discovered that the parameters of tokamak device, such as the toroidal magnetic field, the loop voltage, the safety factor profile, and the major radius, can modify the synchrotron energy limit as well as the strength of neoclassical scattering. The maximum runaway energy is also proved to be lower than the synchrotron limit when the magnetic field ripple is considered.
Linear-Model-inspired Neural Network for Electromagnetic Inverse Scattering
Creators: name: Zhou, Huilin
name: Ouyang, Tao
name: Li, Yadan
name: Liu, Jian
name: Liu, Qiegen
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Electromagnetic inverse scattering problems (ISPs) aim to retrieve permittivities of dielectric scatterers from the scattering measurement. It is often highly nonlinear, caus-ing the problem to be very difficult to solve. To alleviate the issue, this letter exploits a linear model-based network (LMN) learning strategy, which benefits from both model complexity and data learning. By introducing a linear model for ISPs, a new model with network-driven regular-izer is proposed. For attaining efficient end-to-end learning, the network architecture and hyper-parameter estimation are presented. Experimental results validate its superiority to some state-of-the-arts.
description: 5 pages, 6 figures 3 tables
[B.4.05.a.5.] Le Vent
Creators: name: L'Humanité (Périodique)
Publisher: name: École des Hautes Études en Sciences Sociales; Éditions de l'Humanité
Year: 2023
Subjects: http://www.idref.fr/027416593/id
http://www.idref.fr/03470499X/id
http://www.idref.fr/027261468/id
http://www.idref.fr/027280470/id
http://www.idref.fr/050613995/id

Abstract
Entomacis longicornis Kieffer 1912
Creators: name: Notton, David G.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Diapriidae
Entomacis
Entomacis longicornis

description: Entomacis longicornis Kieffer, 1912a: 69.
Valid name
Entomacis longicornis Kieffer, 1912.
Summary of types
Syntype ♀, BMNH number 9.685.
Primary type data
97; Mahe, ’08-9./ Seychelles Exp.; Entomacis / longicornis/ J.J.Kieffer/ type; Type; Type / H.T.; Seychelle Islands./ Percy Sladen Trust/ Expedition./ 1913-170.
Type locality
Seychelles, Mahé, Cascade Estate.
Remarks
One syntype was found standing over this name. The holotype label is erroneous, as Kieffer did not designate a holotype. The syntype is mounted on a card point and is entire.
description: Published as part of Notton, David G., 2014, A catalogue of the types of Diapriinae (Hymenoptera, Diapriidae) at the Natural History Museum, London, pp. 1-123 in European Journal of Taxonomy 75 on page 75, DOI: 10.5852/ejt.2014.75, http://zenodo.org/record/3862773
Experimental Investigation on Mechanical Properties of Palmyra Palm Leaf Stalk ( PlSF ) – SISAL Fiber Reinforced Polymer hybrid composite
Creators: name: Adugnaw Ayalew
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Hybrid fiber, Unsaturated polyester resin, Handy lay-up, Mechanical properties

description: Synthetic and natural fibers reinforced polymer composites are the most widely used
 materials in the application of aerospace, civil construction, automobile, and other
 engineering structures. Particularly natural fibers reinforced composites are preferable in
 terms of biodegradability, cost production, recyclability, and density to weight to ratio. The
 intent of this thesis is therefore to conduct an experimental investigation on mechanical
 properties of palmyra palm leaf stalk and sisal fiber reinforced polymer hybrid composite.
 The fibers were extracted manually and treated by 5% NaOH to remove impurities. The
 composite material was fabricated using hand lay-up techniques. The fabrication of
 different composite materials considers the mass fraction of palmyra palm leaf stalk/sisal
 fiber and volume fiber fraction. The employed mass fraction ratio were 100/0, 75/25, 50/50,
 25/75, and 0/100 with constant total mass fraction fiber of 20% and 80% of matrix volume
 fraction. The volume fiber fraction also includes 10%, 15%, and 20% fiber mass fraction
 with a constant ratio of 50/50 percent. The mass fraction and volume fiber fraction ratio
 are selected according to the literature’s data. The tensile strength and impact energy
 resistance test were experimentally conducted according to the ASTM standard dimension.
 The surface profile of untreated and treated fiber composite was also studied. In the case
 of mass fiber fraction ratio, the result revealed that the addition of sisal fiber enhanced the
 tensile strength by 12.85%, 26.54%, and 37.30% respectively compared to pure palmyra
 palm leaf stalk fiber reinforced composite. Whereas the addition of PLSF to sisal fiber
 improved the impact of energy by 20.98%, 13.61%, and 11.88% compared to pure sisal
 fiber reinforced composite. The tensile strength with 20% volume fiber fraction was
 improved by 56.77% and 13.09% compared to 10% and 15% of fiber respectively. The
 impact strength was enhanced by 24.924% and 10.860% compared to 10% and 15% of
 fiber volume fraction respectively. The tensile strength and impact energy of treated fiber
 composite also improved. Finally, the surface morphology for the treated fiber obtained
 better than the untreated composite. Therefore, the mechanical and physical property of the
 50/50 of the mass fraction with 20% volume fiber fraction hybrid composite can be used
 for the application of automotive interior door panel.
Experimental Investigation of Spark Ignition Engine Performance & Emission Characteristics Running with Gasoline – Biogas Blended Fuel
Creators: name: Albetel    Melsew
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: gasoline fuel, Alternative fuels, Biogas, Performance, Emission, SI Engine,

description: The research deals with an experimental investigation of a biogas-gasoline blend fuel
 to run a spark-ignition engine. It studies the effect of engine loads and biogas flow rate
 on the performance and exhaust gas emissions of a spark-ignition engine run in biogasgasoline blended fuel. Biogas was refined with a methane content of 45.5% by volume
 and 10.7% by volume of CO2. The main objective of this finding was to explore the
 optimum operating condition of the spark-ignition engine run in blended fuel mode.
 The experiments are performed on a single-cylinder, four-stroke, air-cooled, and
 naturally aspirated gasoline engine with a rated output power of 3.31 kW. To perform
 the experiment, several additional equipment is installed to the experimental test engine
 such as biogas tank, rotameter and exhaust gas analyzer. Both the engine load and the
 biogas flow rates varies from 0% to 80% and 2L/min, 4L/min, 6L/min, 8L/min,
 respectively. Based on the result, at 2L/min and 4L/min better performance and lower
 emission were obtained. On the other hand, for blended fuel mode with a biogas flow
 rate of 2L/min showed an average reduction in brake power, brake torque, and BTE by
 2.81%, 3.65%, and 15.94%, respectively. And a Bsfc increased by 11.82% when it was
 compared to gasoline mode. Whereas, an increment in CO, CO2, and HC was by
 10.18%, 12.8%, and 6.01%, respectively. Similarly, an average reduction to, O2 and
 NOx emissions by 7.01% and 19.91%, respectively were obtained for blended fuel
 mode.
Experimental Study on Reinforced Concrete Beam with carbon fiber reinforced polymer Bar
Creators: name: Cherinet  Tariku
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021

description: In recent years repair and retrofit of existing structuressuch as buildings, bridges, etc.,
 have been amongst the mostimportant challenges in Civil Engineering. The
 primaryreason for strengthening of structures includes upgrading ofits resistance to
 withstand underestimated loads, increase inthe load carrying capacity for higher permit
 loads, such asdue to increased perceived risk from seismic excitations,eliminating
 premature failure due to inadequate detailing,restoration of lost load carrying capacity
 due to corrosion orother types of degradation caused by aging, etc. The use ofcarbon fiber
 reinforced polymer (CFRP) in strengtheningreinforced concrete (RC) structures has
 become an increasinglypopular retrofit technique.FRP offers the engineers an outstanding
 combination of properties such as low weight, easier site handling, immunity from
 corrosion, excellent mechanical strength and stiffness, and the ability of formation in long
 lengths, thus eliminating the need for lap joints. Further, there has been a rapid progress
 in concrete technology that has resulted in the evolution of concretes having specified
 characteristics.FRP reinforcing bars have attracted attention for applications where
 corrosion of steel reinforcement is problematic. Due to low elastic modulus and poor
 bond characteristics as compared to steel reinforcing bars, the use of FRP results in larger
 crack widths under service loads. Six beam samples, three samples for each, were casted
 with 0%, 33% and 100% replacement of steel reinforcing bar with that of C-FRP bars for
 bar diameters of 12 mm and 14 mm to investigate the effect of use of C-FRP bars as
 longitudinal reinforcement on flexural behavior of slender shear reinforced concrete
 beams. The experimental result showed that as the percent replacement of steel
 reinforcing bars by C-FRP increases, the peak load capacity declines. Samples with
 higher percent of C-FRP bars showed greater deflection.
Evaluation of Urban water Supply & Loss in The Distribution system : Case of Dilla Town Ethiopian
Creators: name: Tarekegn Tilahun
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Water Supply Coverage, Water Loss, Hydraulic Performance, Water CadV8i, Model Calibration

description: Supply adequate, quality and safe drinking water is a basic need for every human
 being. However, many people particularly in developing nations including Ethiopia
 faced lack of access to quality and adequate water supply services. This study
 evaluates the existing water supply system based on water supply coverage, water
 loss, and hydraulic performance of the distribution network of Dilla Town, Southern
 Ethiopia. To achieve the objectives of the study Water CAD V8i and AWWA water
 audit software were used. The models result showed that high and low pressure in
 junctions and the level of velocity through distribution pipe, in addition to pressure
 calibration of field measurement with the model simulated. The existing average per
 capital water demand of the town is 12.85l/c/d with the comparison of the minimum
 estimated standard of 30 l/c/d for the country level, the value is very low. Regarding
 to water demand coverage the existing water production covers 42%of the town. The
 result indicates that there is high gap between demand and supply. The AWWA water
 loss analysis result showed that 38% of system input volume of the water is lost.
 Among this about 98.9% of the total system loss is real loss and 1.1% is apparent loss.
 According to the analysis result of the model, output the maximum pressure occurred
 at transmission pipeline and causes to pipe breakdown. Consequently, in order to
 prevent the frequent breakdown of the transmission pipe changing old pipe and
 designed for a capacity of maximum daily water demand were recommend.
Evaluating the Partial Replacement of Asphalt Bitumen with Ceramic Dust and Butyl Rubber
Creators: name: Sagni Temesgen
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Asphalt, Composite materials, Durability, Inorganic polymers, Mechanical Properties, Mixtures, Recycling, Stiffness, Temperature

description: This study was carried out using super pave test methods to assess the contribution of
 asphalt mastic to the performance of a pavement at high temperature in rut resistance
 when waste ceramic powder and waste butyl rubber powder blended within the
 asphalt binder. In this research bitumen 80/100 modified at different percentages
 (0%, 1%, 2%, and 3%) of Ceramic-Butyl Rubber (CBR) powders by weight of neat
 bitumen were studied. Firstly, the asphalt mastic samples were prepared by mixing in
 a laboratory at an average temperature of 180℃ for about 60 minutes with 800rpm.
 Next, in this regard, a different experimental program such as Amplitude Sweep Test,
 Frequency Sweep Test, and Performance Grade determination and Multiple Stress
 Creep Recovery test were conducted. The test results show that the master curve of
 complex modulus from Frequency Sweep Test, conclude that modifier improves the
 stiffness of original binder at high temperatures and low frequency. The performance
 grade also indicated that complex modulus G*, increases with the content of the CBR
 modifier increases which may result in stiffness of asphalt mixture increase. It was
 observed that the non-recoverable creep compliance (Jnr3.2kpa) and elastic
 performance also improved as CBR modifier increases. This shows improved
 permanent deformation resistance at a high temperature of 70˚c and below.
 Therefore, the evaluation recognizes that the 3% modified asphalt binder is better in
 permanent deformation resistance
Dynamo generated magnetic configurations in accretion discs and the nature of quasi-periodic oscillations in accreting binary systems
Creators: name: Moss, David
name: Sokoloff, Dmitri
name: Suleimanov, Valery
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Magnetic fields are important for accretion disc structure. Magnetic fields in a disc system may be transported with the accreted matter. They can be associated with either the central body and/or jet, and be fossil or dynamo excited in situ. We consider dynamo excitation of magnetic fields in accretion discs of accreting binary systems in an attempt to clarify possible configurations of dynamo generated magnetic fields. We first model the entire disc with realistic radial extent and thickness using an alpha-quenching non-linearity. We then study the simultaneous effect of feedback from the Lorentz force from the dynamo-generated field. We perform numerical simulations in the framework of a relatively simple mean-field model which allows the generation of global magnetic configurations. We explore a range of possibilities for the dynamo number, and find quadrupolar-type solutions with irregular temporal oscillations that might be compared to observed rapid luminosity fluctuations. The dipolar symmetry models with $R_α<0$ have lobes of strong toroidal field adjacent to the rotation axis that could be relevant to jet launching phenomena. We have explored and extended the solutions known for thin accretion discs.
description: 13 pages, 14 figures
Zero frequency zonal flow excitation by energetic electron driven beta-induced Alfven eigenmode
Creators: name: Qiu, Zhiyong
name: Chen, Liu
name: Zonca, Fulvio
name: Ma, Ruirui
Publisher: name: arXiv
Year: 2020
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: Zero frequency zonal flow (ZFZF) excitation by trapped energetic electron driven beta-induced Alfven eigenmode (eBAE) is investigated using nonlinear gyrokinetic theory. It is found that, during the linear growth stage of eBAE, resonant energetic electrons (EEs) not only effectively drive eBAE unstable, but also contribute to the nonlinear coupling, leading to ZFZF excitation. The trapped EE contribution to ZFZF generation is dominated by EE responses to eBAE in the ideal region, and is comparable to thermal plasma contribution to Reynolds and Maxwell stresses.
description: submitted to Plasma Physics and Controlled Fusion (2020)