cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Chemical evolution models with Gaia DR3
Creators: name: Spitoni, Emanuele
Publisher: name: Zenodo
Year: 2023
Subjects: Galaxy:disc
Galaxy:abundances
Galaxy:evolution

description: The recent Gaia Data Release 3 (DR3) represents an unparalleled revolution in Galactic Archaeology, providing us with numerous radial velocities and chemical abundances for millions of stars with all-sky coverage. We present a new chemical evolution model for the Galactic disc components (high- and low- α sequence stars) designed to reproduce the new abundance ratios provided by the GSP-spec module for the Gaia DR3 and also constrained by the detailed star formation (SF) histories for both the thick and thin disc stars inferred from previous Gaia releases. We extended previous chemical evolution models designed to reproduce APOGEE and APOKASC data to predict new Gaia DR3 chemical abundances in order to trace better both i) the young population in Gaia DR3 with evidence of chemical impoverishment and ii) the star formation history from previous Gaia releases.
description: {"references": ["Spitoni, E., Aguirre B\u00f8rsen-Koch, V., Verma, K., & Stokholm, A. 2022, A&A, 663, A174", "Spitoni, E., Silva Aguirre, V., Matteucci, F., Calura, F., & Grisoni, V. 2019b, A&A, 623, A60", "Spitoni, E., Verma, K., Silva Aguirre, V., & Calura, F. 2020, A&A, 635, A58", "Spitoni, E., Verma, K., Silva Aguirre, V., et al. 2021, A&A, 647, A73", "Poggio, E., Recio-Blanco, A., Palicio, P. A., et al. 2022, A&A, 666, L4", "Ruiz-Lara, T., Gallart, C., Bernard, E. J., & Cassisi, S. 2020, Nature Astronomy, 4, 965", "Bernard, E. J. 2017, in SF2A-2017: Proceedings of the Annual meeting of the French Society of Astronomy and Astrophysics, ed. C. Reyl\u00e9, P. Di Matteo, F. Herpin, E. Lagadec, A. Lan\u00e7on, Z. Meliani, & F. Royer, Di", "Gaia Collaboration, Recio-Blanco, A., Kordopatis, G., et al. 2023, A&A, 674, A38", "Abdurro'uf, Accetta, K., Aerts, C., et al. 2022, ApJS, 259, 35", "Spitoni, E., Recio-Blanco, A., de Laverny, P., et al. 2023, A&A, 670, A109", "Thorsbro, B., Ryde, N., Rich, R. M., et al. 2020, ApJ, 894, 26", "Nieuwmunster, N., Nandakumar, G., Spitoni, E., et al. 2023, A&A, 671, A94"]}
Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures
Creators: name: Zhang, Xiaoxuan
name: Garikipati, Krishna
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: FOS: Computer and information sciences

description: Many important multi-component crystalline solids undergo mechanochemical spinodal decomposition: a phase transformation in which the compositional redistribution is coupled with structural changes of the crystal, resulting in dynamically evolving microstructures. The ability to rapidly compute the macroscopic behavior based on these detailed microstructures is of paramount importance for accelerating material discovery and design. Here, our focus is on the macroscopic, nonlinear elastic response of materials harboring microstructure. Because of the diversity of microstructural patterns that can form, there is interest in taking a purely computational approach to predicting their macroscopic response. However, the evaluation of macroscopic, nonlinear elastic properties purely based on direct numerical simulations (DNS) is computationally very expensive, and hence impractical for material design when a large number of microstructures need to be tested. A further complexity of a hierarchical nature arises if the elastic free energy and its variation with strain is a small-scale fluctuation on the dominant trajectory of the total free energy driven by microstructural dynamics. To address these challenges, we present a data-driven approach, which combines advanced neural network (NN) models with DNS to predict the homogenized, macroscopic, mechanical free energy and stress fields arising in a family of multi-component crystalline solids that develop microstructure. The hierarchical structure of the free energy's evolution induces a multi-resolution character to the machine learning paradigm: We construct knowledge-based neural networks (KBNNs) with either pre-trained fully connected deep neural networks (DNNs), or pre-trained convolutional neural networks (CNNs) that describe the dominant characteristic of the data to fully represent the hierarchically evolving free energy.
description: 24 pages, 15 figures
Cauchy-Maxwell equations: A unified field theory for coupled electromagnetism and elasticity
Creators: name: Roy, Pranesh
name: Kumar, Sanjeev
name: Roy, Debasish
Publisher: name: arXiv
Year: 2020
Subjects: subject: Classical Physics (physics.class-ph)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: A conformal gauge theory is used to describe and unify myriad electromechanical and magnetomechanical coupling effects observed in solid continua. Using a space-time pseudo-Riemannian metric in a finite-deformation setup and exploiting the local conformal symmetry of the Lagrangian, we derive Cauchy-Maxwell (CM) equations that seamlessly combine, for the first time, Cauchy's elasto-dynamic equations with Maxwell's equations for electromagnetism. Maxwell's equations for vacuum are recoverable from our model, which in itself also constitutes a new derivation of these equations. With deformation gradient and material velocity coupled in the Lagrange density, various pseudo-forces appear in the Euler-Lagrange equations. These forces, not identifiable through classical continuum mechanics, may have significance under specific geometric or loading conditions. As a limited illustration on how the CM equations work, we carry out semi-analytical studies, viz. on an infinite body subject to isochoric deformation and a finite membrane under both tensile and transverse loading, considering piezoelectricity and piezomagnetism. Our results show that under specific loading frequencies and tension, electric and magnetic potentials may increase rapidly in some regions of the membrane. This may have significance in future studies on efficient energy harvesting.
description: 46 pages, 7 figures, 3 tables
title: Polymer concrete
Creators: name: Blaga, A.
name: Beaudoin, J. J.
Publisher: name: National Research Council of Canada. Institute for Research in Construction
Year: 1985
Subjects: subject: Concrete
valueUri: urn:ircsubjects:IRC0740
subject: Béton
valueUri: urn:ircsubjects:IRC0740
subject: polymer concrete
subject: béton polymère
subject: resin concrete
subject: béton de résine
subject: chemical attack
subject: aggressivité chimique
subject: corrosivity
subject: corrosivité
subject: water absorption
subject: absorption d'eau
subject: freeze thaw cycles
subject: gel dégel

description: Polymer concrete (PC), or resin concrete, consists of a polymer binder, which may be a thermoplastic but more frequently is a thermosetting polymer, and a mineral filler such as aggregate, gravel and crushed stone. PC has higher strength, greater resistance to chemicals and corrosive agents, lower water absorption and higher freeze-thaw stability than conventional Portland cement concrete.
Nonparametric estimation of circular trend surfaces with application to wave directions
Creators: name: Meilán-Vila, Andrea
name: Crujeiras, Rosa M.
name: Francisco-Fernández, Mario
Publisher: name: arXiv
Year: 2024
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences
subject: 62G05 (primary), 62H11(secondary)

description: In oceanography, modeling wave fields requires the use of statistical tools capable of handling the circular nature of the {data measurements}. An important issue in ocean wave analysis is the study of height and direction waves, being direction values recorded as angles or, equivalently, as points on a unit circle. Hence, reconstruction of a wave direction field on the sea surface can be approached by the use of a linear-circular regression model, viewing wave directions as a realization of a circular spatial process whose trend should be estimated. In this paper, we consider a spatial regression model with a circular response and several real-valued predictors. Nonparametric estimators of the circular trend surface are proposed, accounting for the (unknown) spatial correlation. Some asymptotic results about these estimators as well as some guidelines for their practical implementation are also given. The performance of the proposed estimators is investigated in a simulation study. An application to wave directions in the Adriatic Sea is provided for illustration.
description: 34 pages, 8 figures
Numerical Investigation on Dynamic Response of Bus Structure by Optimizing the Frame size
Creators: name: Tewodros Gamea
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2022
Subjects: Braking, deformation, left cornering, optimization right cornering, steel structure, stress.

description: his research presents the numerical investigation of the dynamic response of bus structure
 by optimizing the frame size. The study is very important to fill the gap in the area of
 vehicle structure response due to maneuverability. Here it is aimed to optimize the weight
 of bus body structure by evaluating its stress and deformation. The study worked at
 Bishoftu bus model ZK6118HGA, modeled with solid work 18 and analysis has been done
 with ANSYS 19.0. Braking left corner, and right cornering test has been performed.
 Optimization has been done by replacing overdesigned RHS (rectangular hollow section)
 with lower-sized RHS. The improved structure was also investigated with the cornering
 and braking tests. The weight of the improved structure is significantly lower than the
 original structure. The study revealed that the weight of the bus body structure was reduced
 by 93.58 kg. Which is about 3.07% of the whole structure weight. The procedure used for
 the analysis is validated using analytical calculations on simply supported overhanging
 beam comparing to software verification.
Numerical Investigation of seismic Behaviour of Building Façade system under Metallic Yield Dampers connection
Creators: name: Abrham Keflegn
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Damper; energy dissipation; metallic yield; facades; time history; inter-storey link joint drift; finite element.

description: Glass facade systems have gained popularity in recent times. During an earthquake
 building frames suffer large inter-story drifts, causing racking of a building facade systems.
 Facade system is highly vulnerable and fail more frequently than a building with significant
 devastating effects. Usage of Metallic yield damper connections (Added-Damping-AndStiffness) are proposed in this study to mitigate aforementioned problems.
 3D model of a six-storey building with a various glass facade and connection properties
 were developed and analyzed for vertical loads such as dead and live load; and for four
 seismic ground motion data’s such as El-Centro, Kobe, Loma, and Northridge. The
 damping mechanisms were modelled as a linear spring and dashpot in parallel for the
 ADAS damper, to establish the desired properties. The connection between facade and
 frame were modelled as linear springs and facade panels were conveniently modelled using
 plane stress elements. Attached at the four corners of aluminum mullions by assigning a
 ‘Link/support properties’ with the “Exponential Damper” NLLINK element in ETABS.
 Performance gain indicators such as deformation of link connections, axial link forces in
 springs, the differential displacement between facade and frame, distortion of the facade,
 and inter-story drift were extracted and compared to get insights into the usage of Metallic
 yield damper connections (Added-Damping-And-Stiffness) in a building. Also, validation
 analyses were executed using data reported in the literature for verification purpose.
 Results showed as compared to control, usage of Metallic yield damper connections
 (Added-Damping-And-Stiffness) exhibited reduction of connection deformation and axial
 force; differential displacement between frame and facade; and facade distortion by
 44.35%, 43.33%, and 51.45% respectively. Also, employing proposed energy absorbing
 connections reduced inter-story link joint drift by 71.11% and mitigate detrimental seismic
 effects on entire building facade system.
Effects of Dynamical Evolution of Giant Planets on the Delivery of Atmophile Elements During Terrestrial Planet Formation
Creators: name: Matsumura, Soko
name: Brasser, Ramon
name: Ida, Shigeru
Publisher: name: arXiv
Year: 2015
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Recent observations started revealing the compositions of protostellar discs and planets beyond the Solar System. In this paper, we explore how the compositions of terrestrial planets are affected by dynamical evolution of giant planets. We estimate the initial compositions of building blocks of these rocky planets by using a simple condensation model, and numerically study the compositions of planets formed in a few different formation models of the Solar System. We find that the abundances of refractory and moderately volatile elements are nearly independent of formation models, and that all the models could reproduce the abundances of these elements of the Earth. The abundances of atmophile elements, on the other hand, depend on the scattering rate of icy planetesimals into the inner disc as well as the mixing rate of the inner planetesimal disc. For the classical formation model, neither of these mechanisms are efficient and the accretion of atmophile elements during the final assembly of terrestrial planets appears to be difficult. For the Grand Tack model, both of these mechanisms are efficient, which leads to a relatively uniform accretion of atmophile elements in the inner disc. It is also possible to have a "hybrid" scenario where the mixing is not very efficient but the scattering is efficient. The abundances of atmophile elements in this case increases with orbital radii. Such a scenario may occur in some of the extrasolar planetary systems which are not accompanied by giant planets or those without strong perturbations from giants. We also confirm that the Grand Tack scenario leads to the distribution of asteroid analogues where rocky planetesimals tend to exist interior to icy ones, and show that their overall compositions are consistent with S-type and C-type chondrites, respectively.
description: 21 pages, 16 figures, 6 tables, accepted for publication in ApJ
Mechanical Characterization of Hair-sisal-Glass Fiber Reinforced Polyester Hybrid Composite Material
Creators: name: Fikadu Belay
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: hair fiber, hair/sisal fiber, hair/sisal/glass fiber, polyester hybrid composite

description: Hybridization of natural fibers with synthetic fibers improves moisture absorption
 property, reduce cost and weight and enhance mechanical properties of the resulted
 composite materials. This research investigates the mechanical properties of hair, sisal
 and glass fiber reinforced polyester composite. The specimens are prepared using Hand
 lay-up followed by compression manufacturing method. The mechanical properties are
 conducted on universal testing machine for tensile and three point bending test and
 Impact test is undergone using charpy impact test machine. Water absorption test is
 done on an electronic balance. The morphology of their structure is observed using
 optical surface microscope.
 Polyester reinforced with the hybrid of hair and sisal showed an increased tensile
 strength of 40% as compared to hair and 22% as compared to sisal fiber reinforced
 composites. Similarly addition of glass fiber increased the tensile strength of hair and
 sisal fiber reinforced composites by 38% and 6% respectively.
 The flexural strength of hair sisal fiber reinforced composite showed a decrement of
 13% and 18% relative to hair fiber and sisal fiber reinforced composite. And including
 glass fiber did a positive effect which enhances the bending strength of hair and sisal
 fiber reinforced composites by 50% and 94% respectively.
 The hybrid composite reinforced with sisal and hair fibers advanced the impact strength
 of sisal and hair fiber reinforced composite by 28% and 4% respectively. However,
 addition of glass fiber decreases the impact value of hair fiber reinforced composite by
 3% and that of sisal fiber reinforced composite by 7%.
 Hair/sisal/glass fiber reinforced polyester composite has the highest strength as
 compared to the remaining composites and satisfies only 53% of the tensile strength,
 94% of the bending strength and 77% of the impact strength of glass fiber. The water
 absorption property of hair/sisal/glass fiber reinforced composite is also in the moderate
 range which is next to glass and glass/sisal fiber reinforced materials. Fiber pullout,
 matrix damage and voids are the common defects observed due to the poor water
 absorption conduct of the natural fibers. Addition of glass fiber have positive effect on
 water absorption, tensile and flexural strength and negative effect on impact strength of
 both hair and sisal fiber reinforced composites.
Mechanical & Microstructural Properties of Concrete Using Textile industry sludge as Partial Replacement of fine Aggregate
Creators: name: Addisu Albazo
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Microstructure, Textile Sludge, Fine Aggregate, Textile Effluent Treatment

description: This research was carried out to study the behavior of concrete, specifically compressive
 strength and the microstructure properties of concrete by incorporating textile industry
 sludge in the concrete. Another aim of the research is to determine the maximum
 proportion textile sludge to be added in the concrete. The specimens were tested for
 strength parameter like compressive strength, and Scanning Electron Microscopy (SEM)
 and X-Ray Diffraction Analysis (XRD) test for microstructural analysis. Laboratory test
 results based on experiment investigation reveals that the compressive strength of
 concrete having the textile sludge has equal characteristics of normal ordinary fine
 aggregate concrete. The microstructural investigation also clearly indicates that the gap
 between the constituents and the pore will not be the problem for the concrete strength. In
 view of utilisation of textile waste as construction materials this paper tried to describe
 the way of how to manage and how to utilize waste from different firm by application of
 various factor of economic point of view. The paper also used sample of concrete cube
 specimen to study the property of concrete and the microstructural view of concrete. The
 concrete made with textile industry sludge as partial replacement of fine aggregate shows
 almost similar characteristics with convectional sand when only replaced up to 5% but
 beyond 5% the strength become decreased so the optimum replacement is only 5%
 Except for the 5% sludge mix the compressive strength of textile sludge amended
 concrete sample is didn’t satisfied the minimum requirement of compressive strength for
 concrete which is 20 MPa after 28 days of curing according to ASTM.
title: Réglementation de la construction des bâtiments
Creators: name: Hansen, A. T.
Publisher: name: Conseil national de recherches du Canada. Division des recherches en construction
Year: 1985
Subjects: subject: Codes & guides
valueUri: urn:ircsubjects:IRC0200
subject: Codes et guides
valueUri: urn:ircsubjects:IRC0200
subject: building codes
subject: code du bâtiment
subject: standards
subject: norme (document)

description: Le présent Digeste décrit brièvement les règlements fédéraux, provinciaux et municipaux qui régissent la construction des bâtiments; il définit la terminologie commune à ces documents et traite des rapports qui existent entre les codes modèles et les règlements.
Measuring the Daylight sufficiency & its Influence on the Energy consumption of Condominium Buildings : The Case of Yeka Abado Site
Creators: name: Mehret Girma
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2020
Subjects: Daylight, Measuring Daylight performance, Building Energy-Performance, Fenestration design, Orientation

description: Daylight is natural source of light to buildings. Natural light in the building is an implicit part,
 especially for the indoor environment. Lighting used as more than illuminance, which also
 enhances the form, functionality, improves safety, security and creates flexibility in the indoor
 spaces that can adapt to the task. Basically, adequate daylight is an asset to health that lowers
 depression, ensures the occupant's thermal comfort, maintains the functionality of the room,
 creates a desired indoor environment, and also reduces the energy consumption rate. These all
 characters make the adequate daylight a vital element in the buildings especially for the energyefficient designs. So this study focus on the buildings and their windows potential to let in
 adequate light. The pillar idea of the paper is just having daylight in buildings is not enough
 unless it's sufficient. So the main purpose of this study is to measure the daylight performance in
 Yeka Abado condominium and understand its influence on the energy consumption rate of the
 buildings. The study used survey analysis, the building performance simulation, and cross
 checking method. The study was carried out on the sunny season of the location to assess and
 experience the lighting performance. The result has shown that the dominant houses in the
 condominium have a daylight complications including daylight insufficient, sometimes overpass
 the acceptance range (150-300 lux for bath rooms and 300- 450 lux for rest of the 8 rooms), and
 has an impact on the energy consumption. The result also shows that the daylight performance in
 the buildings influenced by the urban context, building form, orientation, and the fenestration
 design. To improve the natural light performance having a daylight strategy is essential with the
 evaluation technique at the early designing stage. Appropriate passive and active design
 strategies are also recommended.
Design of infrared microspectrometers based on phase-modulated axilenses
Creators: name: Chen, Yuyao
name: Britton, Wesley A.
name: Negro, Luca Dal
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We design and characterize a novel axilens-based diffractive optics platform that flexibly combines efficient point focusing and grating selectivity and is compatible with scalable top-down fabrication based on a 4-level phase mask configuration. This is achieved using phase-modulated compact axilens devices that simultaneously focus incident radiation of selected wavelengths at predefined locations with larger focal depths compared to traditional Fresnel lenses. In addition, the proposed devices are polarization insensitive and maintain a large focusing efficiency over a broad spectral band. Specifically, here we discuss and characterize modulated axilens configurations designed for long-wavelength infrared (LWIR) in the $6~μ$m--12~$μ$m wavelength range and in the $4~μ$m--6~$μ$m mid-wavelength infrared (MWIR) range. These devices are ideally suited for monolithic integration atop the substrate layers of infrared focal plane arrays (IR-FPAs) and for use as compact microspectrometers. We systematically study their focusing efficiency, spectral response, and cross talk ratio, and we demonstrate linear control of multi-wavelength focusing on a single plane. Our design method leverages Rayleigh-Sommerfeld (RS) diffraction theory and is validated numerically using the Finite Element Method (FEM). Finally, we demonstrate the application of spatially modulated axilenses to the realization of compact, single-lens spectrometer. By optimizing our devices, we achieve a minimum distinguishable wavelength interval of $Δλ=240nm$ at $λ_0=8μm$ and $Δλ=165nm$ at $λ_0=5μm$. The proposed devices add fundamental spectroscopic capabilities to compact imaging devices for a number of applications ranging from spectral sorting to LWIR and MWIR phase contrast imaging and detection.
Meal Macronutrient Adequacy & Body Composition of School Children ( 7-14 Age ) from Selected School Feeding Program in Addis Ababa Ethiopian
Creators: name: Betelhem Lake
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Body composition, School feeding program, Macronutrient adequacy, Iron level.

description: Background: The principle of school feeding relates to the provision of food for school
 children. The study investigates the adequacy of meal macronutrients, dietary diversity, body
 composition, and the iron status of school children aged between 7-14 in Addis Ababa,
 Ethiopia.
 Methods: A cross-sectional study was conducted in a chosen school feeding program supported
 by individuals and government agencies. The study involved a total of 192 school children ,64
 paricipants from 3 school feeding programs, from purposely selected two sub-cities, namely,
 Addis Ketema and Lideta. For meal macronutrient analysis food sample was obtained on five
 consecutive school days from selected school feeding programs.
 Results: The mean ± SD meal macronutrient for moisture, ash, protein, fat, carbohydrate and
 energy were 27.07±4.74 g/100g, 5.02±3.98 g/100g, 12.71±4.29 g/100g, 4.84±6.11 g/100g,
 50.31±10.63 g/100g, and 295.85±40.9 Kcal, respectively. The mean ± SD value of body
 composition for total body water for program 1, 2, and, 3 were 19.29±5.59, 19.60 ± 4.39, 19.30
 ±4.35 liter, respectively; and the value for weight was 33.59± 10.49, 33.01 ±9.80, 33.02 ±7.97
 kg for programs 1, 2, and 3, respectively. The mean ± SD value for waist-hip ratio for program
 1, program 2, and program 3 were 0.80± 0.03, 0.83± 0.05, 0.81± 0.04 respectively, and the
 mean ± SD value for percentage body fat in program 1, program 2, and program 3 were 21.02
 ± 7.81, 17.70± 7.55, 19.87± 6.25 Kg, respectively. The iron level was 79.91±24.83,
 71.55±21.50, and 85.38±26.61 ug/dL for program1, program 2, and program3, respectively.
 The dietary diversity score was 3.5±0.55, 3.6±0.55, and 3.6±0.55 for program 1, program 2,
 and program 3 respectively; and the food variety score of the study for program 1, program 2,
 and program 3 were 5±0.71, 5±0.71, and 4.8±0.45.
 Conclusions: The study participant collective body composition results were not associated
 with the meals provided by the school feeding program; the dietary diversity score and food
 variety score was below the recommended standards of the Food and Agriculture Organization.
 Hence,attention needs to be given to the dietary diversity and food varity of the meal suppled
 for the feeding programs as well as the nutrition status of the children.
title: Polymer modified concrete
Creators: name: Blaga, A.
name: Beaudoin, J. J.
Publisher: name: National Research Council of Canada. Institute for Research in Construction
Year: 1985
Subjects: subject: Concrete
valueUri: urn:ircsubjects:IRC0740
subject: Béton
valueUri: urn:ircsubjects:IRC0740
subject: polymeric materials
subject: matériau polymerique
subject: impregnated concrete
subject: béton imprégné
subject: concrete (materials)
subject: béton (matériau)
subject: natural rubber
subject: caoutchouc naturel
subject: water absorption
subject: absorption d'eau
subject: chemical attack
subject: aggressivité chimique
subject: freeze thaw cycles
subject: gel dégel

description: Polymer modified concrete may be divided into two classes: polymer impregnated concrete and polymer cement concrete. The first is produced by impregnation of precast hardened Portland cement concrete with a monomer that is subsequently converted to solid polymer. To produce the second, part of the cement binder of the concrete mix is replaced by polymer (often in latex form). Both have higher strength, lower water permeability, better resistance to chemicals, and greater freeze-thaw stability than conventional concrete.
Trichopria formicaria Kieffer 1911
Creators: name: Notton, David G.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Mymaridae
Trichopria
Trichopria formicaria

description: Trichopria formicaria Kieffer, 1911c: 385.
Valid name
Trichopria sociabilis Masner, 1965.
Summary of types
Lectotype ♀, BMNH number 9.768, designated by Notton (1995).
Primary type data
Trichopria / sociabilis/ Box/ Hill/ 20.v.1910; Type; Ex coll. Donisthorpe/ B.M.1934-4; Assoc. with/ Formica fusca; Trichopria / formicaria Kief.; Holo-/ type; ♀ Lectotype / Trichopria / formicaria/ Kieffer, 1911: 385/ des. Notton, 1995 / = Trichopria / sociabilis Masner, 1965.
Type locality
England, Box Hill.
Remarks
This species was described from an unspecified number of females. The lectotype is mounted on a card 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 pages 73-74, DOI: 10.5852/ejt.2014.75, http://zenodo.org/record/3862773
Fast Resource Scheduling for Distribution Systems Enabled with Discrete Control Devices
Creators: name: Nouri, Alireza
name: Soroudi, Alireza
name: Keane, Andrew
Publisher: name: arXiv
Year: 2020
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper proposes a framework for fast short-term scheduling and steady-state voltage control in distribution systems enabled with both continuous control devices, e.g., inverter interfaced DGs and discrete control devices (dcds), e.g., on-load tap changers (oltcs). The voltage-dependent nature of loads is taken into account to further reduce the operating cost by managing the voltage levels. The branch and cut method is applied to handle the integrality constraints associated with the operation of dcds. A globally convergent trust-region algorithm (tra) is applied to solve the integer relaxed problems at each node during the branching process. The tra sub-problems are solved using the interior point method. To reduce the branching burden of the branch and cut algorithm, before applying tra at each node, a simplified optimization problem is first solved. Using the convergence status and value of the objective function of this problem, a faster decision is made on stopping the regarding branch. Solving the simplified problem obviates the application of tra at most nodes. It is shown that the method converges to the optimal solution with a considerable saving in computation time according to the numerical studies.
Gamow-Teller (GT$\pm$) strength distributions of $^{56}Ni$ for ground and excited states
Creators: name: Nabi, Jameel-Un
name: Rahman, Muneeb-Ur
name: Sajjad, Muhammad
Publisher: name: arXiv
Year: 2016
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Gamow-Teller (GT) transitions play an important and consequential role in many astrophysical phenomena. These include, but are not limited to, electron and positron capture rates which determine the fate of massive stars and play an intricate role in the dynamics of core collapse. These $GT_{\pm}$ transitions rates are the significant inputs in the description of supernova explosions. $GT_{\pm}$ strength function values are sensitive to the $^{56}Ni$ core excitation in the middle \textit{pf}-shell region and to the size of the model space as well. We used the pn-QRPA theory for extracting the GT strength for ground and excited states of $^{56}Ni$. We then used these GT strength distributions to calculate the electron \textit{and} positron capture rates which show differences with the earlier calculations. One curious finding of this paper is our enhanced electron capture rates on $^{56}Ni$ at presupernova temperatures. These differences need to be taken into account for the modeling of the early stages of Type II supernova evolution.
description: 24 pages, 5 figures, 3 tables
Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics
Creators: name: Duan, Ling-Yu
name: Liu, Jiaying
name: Yang, Wenhan
name: Huang, Tiejun
name: Gao, Wen
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Video coding, which targets to compress and reconstruct the whole frame, and feature compression, which only preserves and transmits the most critical information, stand at two ends of the scale. That is, one is with compactness and efficiency to serve for machine vision, and the other is with full fidelity, bowing to human perception. The recent endeavors in imminent trends of video compression, e.g. deep learning based coding tools and end-to-end image/video coding, and MPEG-7 compact feature descriptor standards, i.e. Compact Descriptors for Visual Search and Compact Descriptors for Video Analysis, promote the sustainable and fast development in their own directions, respectively. In this paper, thanks to booming AI technology, e.g. prediction and generation models, we carry out exploration in the new area, Video Coding for Machines (VCM), arising from the emerging MPEG standardization efforts1. Towards collaborative compression and intelligent analytics, VCM attempts to bridge the gap between feature coding for machine vision and video coding for human vision. Aligning with the rising Analyze then Compress instance Digital Retina, the definition, formulation, and paradigm of VCM are given first. Meanwhile, we systematically review state-of-the-art techniques in video compression and feature compression from the unique perspective of MPEG standardization, which provides the academic and industrial evidence to realize the collaborative compression of video and feature streams in a broad range of AI applications. Finally, we come up with potential VCM solutions, and the preliminary results have demonstrated the performance and efficiency gains. Further direction is discussed as well.
Lattice Boltzmann simulation of separation phenomenon in a binary gaseous flow through a microchannel
Creators: name: Wang, Liang
name: Xu, Zimian
name: Guo, Zhaoli
Publisher: name: arXiv
Year: 2016
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Gas separation of a binary gaseous mixture is one of characteristic phenomena in the micro-scale flows that differ from the conventional size flows. In this work, the separation in a binary gas mixture flows through a microchannel is investigated by the lattice Boltzmann method with a diffuse-bounce-back (DBB) boundary condition. The separation degree and rate are measured in the He--Ar and Ne--Ar systems for different mole fractions, pressure ratios, and Knudsen numbers. The results show that the separation phenomenon in the He--Ar mixture is more obvious than that in the Ne--Ar mixture at the same mole fraction owing to the larger molecular mass ratio. In addition, the increase in the pressure ratio reduces the difference in the molecular velocities between the two species, and the separation phenomenon becomes weaker. However, the gas separation is enhanced with an increase in the Knudsen number. This is because the resulting rarefaction effect reduces the interactions between the gas molecules of the two species, and thus increases the difference in the molecular velocity.
description: 19pages,15figures
An Analytical Solution for Probabilistic Guarantees of Reservation Based Soft Real-Time Systems
Creators: name: Palopoli, Luigi
name: Fontanelli, Daniele
name: Abeni, Luca
name: Frías, Bernardo Villalba
Publisher: name: arXiv
Year: 2016
Subjects: subject: Performance (cs.PF)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: We show a methodology for the computation of the probability of deadline miss for a periodic real-time task scheduled by a resource reservation algorithm. We propose a modelling technique for the system that reduces the computation of such a probability to that of the steady state probability of an infinite state Discrete Time Markov Chain with a periodic structure. This structure is exploited to develop an efficient numeric solution where different accuracy/computation time trade-offs can be obtained by operating on the granularity of the model. More importantly we offer a closed form conservative bound for the probability of a deadline miss. Our experiments reveal that the bound remains reasonably close to the experimental probability in one real-time application of practical interest. When this bound is used for the optimisation of the overall Quality of Service for a set of tasks sharing the CPU, it produces a good sub-optimal solution in a small amount of time.
description: IEEE Transactions on Parallel and Distributed Systems, Volume:27, Issue: 3, March 2016
title: Introduction à l'acoustique du bâtiment
Creators: name: Warnock, A. C. C.
Publisher: name: Conseil national de recherches du Canada. Division des recherches en construction
Year: 1985
Subjects: subject: Sound transmission & insulation
valueUri: urn:ircsubjects:IRC0840
subject: Transmission acoustique et insonorisation
valueUri: urn:ircsubjects:IRC0840
subject: buildings
subject: bâtiments
subject: acoustics
subject: acoustique
subject: sound measurement
subject: mesure sonore
subject: acoustic properties
subject: propriétés acoustiques
subject: acoustical control
subject: contrôle acoustique
subject: sound transmission loss
subject: perte de transmission sonore

description: On trouvera dans ce Digeste certaines des expressions et mesures fondamentales utilisées dans le domaine du bâtiment pour quantifier le son et les propriétés acoustiques des matériaux et des ensembles.
PoPS: Policy Pruning and Shrinking for Deep Reinforcement Learning
Creators: name: Livne, Dor
name: Cohen, Kobi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The recent success of deep neural networks (DNNs) for function approximation in reinforcement learning has triggered the development of Deep Reinforcement Learning (DRL) algorithms in various fields, such as robotics, computer games, natural language processing, computer vision, sensing systems, and wireless networking. Unfortunately, DNNs suffer from high computational cost and memory consumption, which limits the use of DRL algorithms in systems with limited hardware resources. In recent years, pruning algorithms have demonstrated considerable success in reducing the redundancy of DNNs in classification tasks. However, existing algorithms suffer from a significant performance reduction in the DRL domain. In this paper, we develop the first effective solution to the performance reduction problem of pruning in the DRL domain, and establish a working algorithm, named Policy Pruning and Shrinking (PoPS), to train DRL models with strong performance while achieving a compact representation of the DNN. The framework is based on a novel iterative policy pruning and shrinking method that leverages the power of transfer learning when training the DRL model. We present an extensive experimental study that demonstrates the strong performance of PoPS using the popular Cartpole, Lunar Lander, Pong, and Pacman environments. Finally, we develop an open source software for the benefit of researchers and developers in related fields.
description: This paper has been accepted for publication in the IEEE Journal of Selected Topics in Signal Processing
Nano-domain formation in charged membranes: Beyond Debye-Huckel approximation
Creators: name: Okamoto, Ryuichi
name: Shimokawa, Naofumi
name: Komura, Shigeyuki
Publisher: name: arXiv
Year: 2016
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We investigate the microphase separation in a membrane composed of charged lipid, by taking into account explicitly the electrostatic potential and the ion densities in the surrounding solvent. While the overall (membrane and solvent) charge neutrality is assumed, the membrane can have a non-zero net charge. The static structure factor in the homogeneous state is analytically obtained without using the Debye-Huckel approximation and is found to have a peak at an intermediate wave number. For a binary membrane composed of anionic and neutral lipids, the characteristic wave number corresponds to a scale from several to tens of nanometers. Our numerical calculation further predicts the existence of nano-domains in charged membranes.
description: 6 pages, 4 figures
Fast and selective phonon-assisted state preparation of a quantum dot by adiabatic undressing
Creators: name: Barth, A. M.
name: Lüker, S.
name: Vagov, A.
name: Reiter, D. E.
name: Kuhn, T.
name: Axt, V. M.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We investigate theoretically the temporal behavior of a quantum dot under off-resonant optical excitation targeted at fast acoustic phonon-assisted state preparation. We demonstrate that in a preparation process driven by short laser pulses three processes can be identified: a dressing of the states during the switch on of the laser pulse, a subsequent phonon-induced relaxation and an undressing at the end of the pulse. By analyzing excitation scenarios with different pulse shapes we highlight the decisive impact of an adiabatic undressing on the final state in short pulse protocols. Furthermore, we show that in exciton-biexciton systems the laser characteristics such as the pulse detuning and the pulse length as well as the biexciton binding energy can be used to select the targeted quantum dot state.
Using Analogies to Learn Introductory Physics
Creators: name: Lin, Shih-Yin
name: Singh, Chandralekha
Publisher: name: arXiv
Year: 2016
Subjects: subject: Physics Education (physics.ed-ph)
subject: FOS: Physical sciences

description: Identifying the relevant physics principles is a central component of problem solving. A major goal of most introductory physics courses is to help students discern the deep similarities between problems based upon the physics principles so that they can transfer what they learned by solving one problem to solve another problem which involves the same principle. We conducted an investigation in which 251 calculus- and algebra-based introductory physics students were asked explicitly in the recitation quiz to learn from a solved problem and then solve another problem that has different surface features but the same underlying physics principles. We find that many students were able to discern the deep similarities between the problems. When the solved problem was provided, students were likely to invoke the correct principles; however, more scaffolding is needed to help students apply these principles correctly.
description: arXiv admin note: text overlap with arXiv:1602.05689
Geometric and Kinematic Structure of the Outflow/Envelope System of L1527 Revealed by Subarcsecond-resolution Observation of CS
Creators: name: Oya, Yoko
name: Sakai, Nami
name: Lefloch, Bertrand
name: López-Sepulvre, Ana
name: Watanabe, Yoshimasa
name: Ceccarelli, Cecilia
name: Yamamoto, Satoshi
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Subarcsecond-resolution images of the rotational line emissions of CS and c-C$_3$H$_2$ obtained toward the low-mass protostar IRAS 04368$+$2557 in L1527 with the Atacama Large Millimeter/submillimeter Array are investigated to constrain the orientation of the outflow/envelope system. The distribution of CS consists of an envelope component extending from north to south and a faint butterfly-shaped outflow component. The kinematic structure of the envelope is well reproduced by a simple ballistic model of an infalling rotating envelope. Although the envelope has a nearly edge-on configuration, the inclination angle of the rotation axis from the plane of the sky is found to be 5$^\circ$, where we find that the western side of the envelope faces the observer. This configuration is opposite to the direction of the large-scale ($\sim$ 10$^4$ AU) outflow suggested previously from the $^{12}$CO ($J$=3$-$2) observation, and to the morphology of infrared reflection near the protostar ($\sim$ 200 AU). The latter discrepancy could originate from high extinction by the outflow cavity of the western side, these discrepancies or may indicate that the outflow axis is not parallel to the rotation axis of the envelope. Position-velocity diagrams show the accelerated outflow cavity wall, and its kinematic structure in the 2000 AU scale is explained by a standard parabolic model with the inclination angle derived from the analysis of the envelope. The different orientation of the outflow between the small and large scale implies a possibility of precession of the outflow axis. The shape and the velocity of the outflow in the vicinity of the protostar are compared with those of other protostars.
Isolated Word Real Time Ethiopian Sign Language Recognition for Sexual Reproductive Health Using Kinect
Creators: name: Getenet Mesele
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Ethiopian Sign Language, Dynamic Time Warping, Nearest-Neighbor, Sexual Reproductive Health, Nearest Neighbor Dynamic Time Warping, Kinect

description: There above 1.15 Million peoples with deafness in Ethiopia with their primary means of
 communication called EthSL which is one of the linguistically minor languages in Ethiopia.
 Automatic Sign Language Recognition is currently in its infant stage while automatic speech
 recognition is commercially available nowadays. Currently all commercial translation services are
 human based, and therefore expensive, due to the need for experienced translators. There are very
 few sign language interpreters in Ethiopia in hospitals and interpretation prices and very costly, in
 addition to the cost of interpreters there is a series problem related to Sexual Health Reproduction
 where the patient personal information is exposed to the interpreter or family member and friend
 most of the time so the patient will not tell some of the required information to the doctor due to
 the third party interference, this research work is dedicated to overcome this problem which
 proposes a real-time isolated word sign language recognition for selected SRH words in hospitals
 and different health centers. This thesis used a depth sensing device called Kinect to capture the
 sign language sequences and pass it to our classification algorithms.
 The performances of the selected algorithms for online as well as offline modes of operation have
 been tested and results show that there is a high level of decrease in accuracies for online mode of
 operation compared to the results obtained on offline mode of operation. Among the five
 experiments that have been carried out the first experiment using 1NN-DTW in online signerdependent mode outperforms the results of the other four experiments which achieved a total
 accuracy of 80% without using skeleton smoothing techniques and 93.75 using skeleton
 smoothing. The overall experiments result shows that real time systems are more susceptible to
 environmental noise and prone to small signing variations.