cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
[B.7.03.a.] Dominique FRELAUT, maire de Colombes et le Dr VAN DER STEGEN vous parlent… [1/2]
Creators: name: Diard, Jean
name: Bidou, Jacques (1945-....)
Publisher: name: École des Hautes Études en Sciences Sociales; Uni/Ci/Té
Year: 2023
Subjects: http://www.idref.fr/050613995/id
http://www.idref.fr/034705074/id
http://www.idref.fr/027299031/id
http://www.idref.fr/027261468/id

Abstract
Comunicación "Producción de series de ficción para las plataformas de video bajo demanda en España"
Creators: name: Higueras Ruiz, María José
Publisher: name: Zenodo
Year: 2018

description: Presentación de la Comunicación “Producción de series de ficción para las plataformas de video bajo demanda en España” el 9 de febrero de 2018 en XIX Foro de Investigación en Comunicación “La Gestión de los Contenidos” organizado por la Universidad Pontificia de Salamanca, la Asociación Foro para el Conocimiento y la Investigación de la Comunicación.
[B.7.03.b.] Dominique FRELAUT, maire de Colombes et le Dr VAN DER STEGEN vous parlent… [2/2]
Creators: name: Diard, Jean
name: Bidou, Jacques (1945-....)
Publisher: name: École des Hautes Études en Sciences Sociales; Uni/Ci/Té
Year: 2023
Subjects: http://www.idref.fr/027299031/id
http://www.idref.fr/034705074/id
http://www.idref.fr/027261468/id
http://www.idref.fr/050613995/id

Abstract
Field-driven tracer diffusion through curved bottlenecks: Fine structure of first passage events
Creators: name: Valov, A.
name: Avetisov, V.
name: Nechaev, S.
name: Oshanin, G.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Using scaling arguments and extensive numerical simulations, we study dynamics of a tracer particle in a corrugated channel represented by a periodic sequence of broad chambers and narrow funnel-like bottlenecks enclosed by a hard-wall boundary. A tracer particle is affected by an external force pointing along the channel, and performs an unbiased diffusion in the perpendicular direction. We present a detailed analysis a) of the distribution function of the height above the funnel's boundary at which the first crossing of a given bottleneck takes place, and b) of the distribution function of the first passage time to such an event. Our analysis reveals several new features of the dynamical behaviour which are overlooked in the studies based on the Fick-Jacobs approach. In particular, trajectories passing through a funnel concentrate predominantly on its boundary, which makes first-crossing events very sensitive to the presence of binding sites and a microscopic roughness.
description: 9 pages, 8 figures
Proton entry into the near-lunar plasma wake for magnetic field aligned flow
Creators: name: Dhanya, M. B.
name: Bhardwaj, Anil
name: Futaana, Y.
name: Fatemi, S.
name: Holmström, M.
name: Barabash, S.
name: Wieser, M.
name: Wurz, P.
name: Alok, A.
name: Thampi, R. S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: We report the first observation of protons in the near (100--200 km from surface) and deeper (near anti-subsolar point) lunar plasma wake when the interplanetary magnetic field (IMF) and solar wind velocity ($v_{sw}$) are parallel (aligned flow, angle between IMF and ($v_{sw} \le 10^\circ$). More than 98% of the observations during aligned flow condition showed the presence of protons in the wake. These observations are obtained by the SWIM sensor of the SARA experiment on Chandrayaan-1. The observation cannot be explained by the conventional fluid models for aligned flow. Back-tracing of the observed protons suggests that their source is the solar wind. The larger gyro-radii of the wake protons compared to that of solar wind suggest that they were part of the tail of the solar wind velocity distribution function. Such protons could enter the wake due to their large gyro-radii even when the flow is aligned to IMF. However, the wake boundary electric field may also play a role in the entry of the protons in to the wake.
description: 4 pages, 4 figures
Accessibility of Mixed use Office & Commercial Buildings for Physically Disabled people ( Evaluating the Implementation of Standards of Building Design for Disable people in Addis Ababa , Ethiopian
Creators: name: Habtamu Teklu
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: accessibility, physically disable people, mixed-use office and commercial buildings

description: Peoples should live in a place which is free from any obstacle which limits their right to
 move freely from place to place and access different services but, the current situation on the
 construction industry seems limiting the rights of disabled peoples to move freely from place
 to place. One of the limits on disabled peoples is access to buildings. With related to this the
 aim of this research is to assess and evaluate the level of accessibility and implementation of
 Architectural building standards for physically disabled people in mixed use office and
 commercial buildings in Addis Ababa. The study is done on purposively selected five
 buildings. Entrances, stair, elevators, ramp, corridors, door, and toilets are evaluated from the
 selected five buildings. Observation is done to identify weather building elements which are
 associated to disability is available or not. After the observation the available elements are
 evaluated in detail using measurement analysis. The main aim of the measurement is to
 identify weather the available elements is standard quality or not. Finally the data is analyzed
 and categorized and Attempt to express in percentages. Even if main entrances doors have
 enough width for physically disabled peoples, most of the buildings which are studied in this
 study do not have comfortable entrances for disable peoples. The basic problem about stairs
 is handrail problem which is basic for Crutches user disabled people. From the stairs studied
 in this study 40.9% have a handrail and from those stairs only 44.4% have handrail in both
 sides. Regarding to ramp the study shows that the availability of ramp in mixed use office
 and commercial buildings is very less and the available ramps are out of standards and not
 comfortable for disabled peoples to use it independently. About 25% of the elevators do not
 have a hand grip and from those 75% which have a hand grip none of them have a hand grips
 on all three wall sides. From the corridors which needs a passing space none of them have a
 passing space. Doors have relatively good accessibility for physically disabled people but
 along with this it is important to note that 79.9% of toilet doors do not have enough width.
 The availability of separated toilet for disable people is very less. From the selected buildings
 none of them have at least one rest room which is separated for disabled people. The study
 shows mixed-use office and commercial buildings are less accessible for physically disabled
 people. All responsible bodies should give high concern for the accessibility of buildings and
 try to improve the inaccessibility problem.
Continuous and discrete phasor analysis of binned or time-gated periodic decays
Creators: name: Michalet, Xavier
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantitative Methods (q-bio.QM)
subject: Instrumentation and Detectors (physics.ins-det)
subject: Optics (physics.optics)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: Time-resolved analysis of periodically excited luminescence decays by the phasor method in the presence of time-gating or binning is revisited. Analytical expressions for discrete configurations of square gates are derived and the locus of the phasors of such modified periodic single-exponential decays is compared to the canonical uni-versal semicircle. The effects of IRF offset, decay truncation and gate shape are also discussed. Finally, modified expressions for the phase and modulus lifetimes are pro-vided for some simple cases. A discussion of a modified phasor calibration approach is presented, and illustration of the new concepts with examples from the literature conclude this work.
description: 114 pages, 18 figures, 2 tables, 38 references
Computing Large-Scale Matrix and Tensor Decomposition with Structured Factors: A Unified Nonconvex Optimization Perspective
Creators: name: Fu, Xiao
name: Vervliet, Nico
name: De Lathauwer, Lieven
name: Huang, Kejun
name: Gillis, Nicolas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: Machine Learning (cs.LG)
subject: Optimization and Control (math.OC)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: The proposed article aims at offering a comprehensive tutorial for the computational aspects of structured matrix and tensor factorization. Unlike existing tutorials that mainly focus on {\it algorithmic procedures} for a small set of problems, e.g., nonnegativity or sparsity-constrained factorization, we take a {\it top-down} approach: we start with general optimization theory (e.g., inexact and accelerated block coordinate descent, stochastic optimization, and Gauss-Newton methods) that covers a wide range of factorization problems with diverse constraints and regularization terms of engineering interest. Then, we go `under the hood' to showcase specific algorithm design under these introduced principles. We pay a particular attention to recent algorithmic developments in structured tensor and matrix factorization (e.g., random sketching and adaptive step size based stochastic optimization and structure-exploiting second-order algorithms), which are the state of the art---yet much less touched upon in the literature compared to {\it block coordinate descent} (BCD)-based methods. We expect that the article to have an educational values in the field of structured factorization and hope to stimulate more research in this important and exciting direction.
description: Final Version; to appear in IEEE Signal Processing Magazine; title revised to comply with the journal's rule
THE RUSSIAN IDEA OF SOBORNOST AS A REFLECTION OF NATIONAL IDENTITY
Creators: name: Elkhova, Oxana
Publisher: name: figshare
Year: 2023
Subjects: Philosophical psychology (incl. moral psychology and philosophy of action)
Philosophy of specific cultures (incl. comparative philosophy)

description: Determining the specifics of people's individuality is a very difficult task. Apparently, people's individuality keeps a certain secret in itself and there is always something incomprehensible to the end, to the last depth. Undoubtedly, Russia stands out from all other peoples with its vast space and huge spiritual potential, we can say that there is a kind of correlation between physical geography and spiritual geography. The soul of the Russian people is characterized by the same immensity, boundlessness, aspiration to infinity. The Russian people were faced with the task of developing vast spaces and their design. Speaking about the national character, for the most part, they assume the actual specifics of a particular people, that is, what is characteristic of a significant component of its representatives. The Russian character is characterized by such a property as «span of the soul», which means a special attitude towards obstacles, when a person is able to endure exceptional stress and achieve success in an exceptionally short time. Russian history, in its essence, is the incessant formation of the Russian character in harsh conditions and life's challenges. Such a spiritual dominant ensures national integrity. The identity of the nation is determined by those life attitudes, values, it is they, through the originality of character, that are found in actions, type of behavior, lifestyle. If values are concentrated in a great idea, based on a strong character, then the people have a self-sufficient, self-valuable face, behind which a spirit is revealed.
Strange matter and strange stars in a thermodynamically self-consistent perturbation model with running coupling and running strange quark mass
Creators: name: Xu, J. F.
name: Peng, G. X.
name: Liu, F.
name: Hou, D. F.
name: Chen, L. W.
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: A quark model with running coupling and running strange quark mass, which is thermodynamically self-consistent at both high and lower densities, is presented and applied to study properties of strange quark matter and structure of compact stars. An additional term to the thermodynamic potential density is determined by meeting the fundamental differential equation of thermodynamics. It plays an important role in comparatively lower density and ignorable at extremely high density, acting as a chemical-potential dependent bag constant. In this thermodynamically enhanced perturbative QCD model, strange quark matter still has the possibility of being absolutely stable, while the pure quark star has a sharp surface with a maximum mass as large as about 2 times the solar mass and a maximum radius of about 11 kilometers.
description: 12 pages, 10 figures
Viability of Arctan Model of f(R) Gravity for Late-time Cosmology
Creators: name: Dutta, Koushik
name: Panda, Sukanta
name: Patel, Avani
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: $f(R)$ modifications of Einstein's gravity is an interesting possibility to explain the late time acceleration of the Universe. In this work we explore the cosmological viability of one such $f(R)$ modification proposed in (Kruglov:2013). We show that the model violates fifth-force constraints. The model is also plagued with the issue of curvature singularity in a spherically collapsing object, where the effective scalar field reaches to the point of diverging scalar curvature.
description: 7 pages, 4 figures, 1 table
Diapria seychellensis Kieffer 1912
Creators: name: Notton, David G.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Chalcididae
Diapria
Diapria seychellensis

description: Diapria seychellensis Kieffer, 1912a: 71, 72, fig. 13.
Valid name
Trichopria seychellensis (Kieffer, 1912).
Summary of types
Lectotype ♂, BMNH number 9.699, designated by Huggert (1979). Paralectotypes 2 ♀♀, ♂.
Primary type data
22/ Silhouette, ‘08/ Seychelles Exp./ ♂ / Diapria / seychellensis; type; Type/ H.T.; Diapria / seychellensis/ J.J.Kieffer/ Type; figured specimen; Seychelle Islands./ Percy Sladen Trust/ Expedition./ 1913-170; Lectotypus / Diapria ♂ / seychellensis/ Kieff./ design./ L.Huggert-77; Trichopria (A.) ♂ / seychellensis (Kieff.) / det. L.Huggert-77.
Type locality
Seychelles, Silhouette, Mare aux Cochons.
Remarks
This species was described from three females and five males. Two females and two males were located by Huggert (1979), of which he designated one as lectotype of D. seychellensis. The lectotype is mounted on a papered cork block; the left antenna and left wings are mounted on a microslide on the same pin. Huggert considered two of the paralectotypes were not conspecific with T. seychellensis and designated one the holotype of Trichopria ensia q. v. and another the holotype of Trichopria percyi q.v.
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 77, DOI: 10.5852/ejt.2014.75, http://zenodo.org/record/3862773
Mapping the Design Space of Photonic Topological States via Deep Learning
Creators: name: Singh, Robin
name: Agarwal, Anuradha Murthy
name: Anthony, Brian W
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: Computational Physics (physics.comp-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Topological states in photonics offer novel prospects for guiding and manipulating photons and facilitate the development of modern optical components for a variety of applications. Over the past few years, photonic topology physics has evolved and unveiled various unconventional optical properties in these topological materials, such as silicon photonic crystals. However, the design of such topological states still poses a significant challenge. Conventional optimization schemes often fail to capture their complex high dimensional design space. In this manuscript, we develop a deep learning framework to map the design space of topological states in the photonic crystals. This framework overcomes the limitations of existing deep learning implementations. Specifically, it reconciles the dimension mismatch between the input (topological properties) and output (design parameters) vector spaces and the non-uniqueness that arises from one-to-many function mappings. We use a fully connected deep neural network (DNN) architecture for the forward model and a cyclic convolutional neural network (cCNN)for the inverse model. The inverse architecture contains the pre-trained forward model in tandem, thereby reducing the prediction error significantly.
description: 3 figures, AI for better photonics, topological photonics, inverse design
Dictionary Learning for Massive Matrix Factorization
Creators: name: Mensch, Arthur
name: Mairal, Julien
name: Thirion, Bertrand
name: Varoquaux, Gaël
Publisher: name: arXiv
Year: 2016
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: Sparse matrix factorization is a popular tool to obtain interpretable data decompositions, which are also effective to perform data completion or denoising. Its applicability to large datasets has been addressed with online and randomized methods, that reduce the complexity in one of the matrix dimension, but not in both of them. In this paper, we tackle very large matrices in both dimensions. We propose a new factoriza-tion method that scales gracefully to terabyte-scale datasets, that could not be processed by previous algorithms in a reasonable amount of time. We demonstrate the efficiency of our approach on massive functional Magnetic Resonance Imaging (fMRI) data, and on matrix completion problems for recommender systems, where we obtain significant speed-ups compared to state-of-the art coordinate descent methods.
Adaptive Second Order Sliding Mode Controller for 2-DOF Serial Flexible Link
Creators: name: Damite, Elias
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: ASOSMC, super twisting algorithm, chattering mitigation, flexible links

description: Flexible link manipulator system dynamics and control has become a key research area
 by many researchers around the globe due to many benefits it affords like low weight,
 low power consumption leading to low universal cost. However, because of the inherent
 link flexibility they go through vibrations and take time to return the favored position
 as soon as the actuator force is eliminated. The difficulty is designing feedback control
 system for the manipulator because the system is non-minimal phase, under-actuated
 and non-collected due to physical separation of sensor and actuator. The important
 awareness of this thesis is to improve upon the present sliding mode control approach
 with the high goal of chattering reduction. The benefit of adaptive tuning mechanism
 is estimating uncertainty adaptively is proposed in this thesis. As a result, prior expertise
 about the upper bound of system uncertainty is not an essential requirement in the
 proposed adaptive 2nd order sliding mode controller. Due to the fact that the
 discontinuous signum characteristics is made to act at the time by product of the manage
 enter and the real signal obtained after integration is continuous and consequently
 chattering is eliminated. The entire system response was simulated in MATLAB/
 Simulink environment. The effectiveness of adaptive second order sliding mode
 control(ASOSMC) controller changed into compared with conventional, classical or 1st
 order sliding mode control(SMC), 2nd order SMC, model predictive control(MPC) and
 adaptive 2nd order SMC by using the six-performance index like integral absolute
 error(IAE), integral square error(ISE), integral time square error(ITSE), integral time
 absolute error(ITAE), mean square error(MSE) and mean absolute error(MAE) with
 percentage improvement a minimum of 31.4127% and a maximum of 99.8490% in case
 of ASMC and SMC respectively. The results endow that the adaptive 2nd order SMC
 controller outperforms the above listed controllers.
[B.7.04.a.] Candidat aux élections législatives dans la 4e circonscription de l’Esssonne, Robert Vizet s’adresse à vous
Creators: name: Diard, Jean
name: Bidou, Jacques (1945-....)
Publisher: name: École des Hautes Études en Sciences Sociales; Uni/Ci/Té
Year: 2023
Subjects: http://www.idref.fr/050613995/id
http://www.idref.fr/027299031/id
http://www.idref.fr/027261468/id
http://www.idref.fr/034705074/id

Abstract
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
Creators: name: Xia, Zhaoqiang
name: Peng, Wei
name: Khor, Huai-Qian
name: Feng, Xiaoyi
name: Zhao, Guoying
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Composite-database micro-expression recognition is attracting increasing attention as it is more practical to real-world applications. Though the composite database provides more sample diversity for learning good representation models, the important subtle dynamics are prone to disappearing in the domain shift such that the models greatly degrade their performance, especially for deep models. In this paper, we analyze the influence of learning complexity, including the input complexity and model complexity, and discover that the lower-resolution input data and shallower-architecture model are helpful to ease the degradation of deep models in composite-database task. Based on this, we propose a recurrent convolutional network (RCN) to explore the shallower-architecture and lower-resolution input data, shrinking model and input complexities simultaneously. Furthermore, we develop three parameter-free modules (i.e., wide expansion, shortcut connection and attention unit) to integrate with RCN without increasing any learnable parameters. These three modules can enhance the representation ability in various perspectives while preserving not-very-deep architecture for lower-resolution data. Besides, three modules can further be combined by an automatic strategy (a neural architecture search strategy) and the searched architecture becomes more robust. Extensive experiments on MEGC2019 dataset (composited of existing SMIC, CASME II and SAMM datasets) have verified the influence of learning complexity and shown that RCNs with three modules and the searched combination outperform the state-of-the-art approaches.
Disformal transformations on the CMB
Creators: name: Burrage, Clare
name: Cespedes, Sebastian
name: Davis, Anne-Christine
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: In this work we study the role of disformal transformation on cosmological backgrounds and its relation to the speed of sound for tensor modes. A speed different from one for tensor modes can arise in several contexts, such as Galileons theories or massive gravity, nevertheless the speed is very constrained to be one by observations of gravitational wave emission. It has been shown that in inflation a disformal trans- formation allows to set the speed for tensor modes to one without making changes to the curvature power spectrum. Here we show that this invariance does not hold when considering the CMB anisotropy power spectrum. It turns out that the after doing the transformation there is an imprint on the acoustic peaks and the diffusion damping. This has interesting consequences; here we explore quartic galileon theories which allow a modified speed for tensor modes. For these theories the transformation can be used to constraint the parameter space in different regimes.
Submodularity in Action: From Machine Learning to Signal Processing Applications
Creators: name: Tohidi, Ehsan
name: Amiri, Rouhollah
name: Coutino, Mario
name: Gesbert, David
name: Leus, Geert
name: Karbasi, Amin
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Submodularity is a discrete domain functional property that can be interpreted as mimicking the role of the well-known convexity/concavity properties in the continuous domain. Submodular functions exhibit strong structure that lead to efficient optimization algorithms with provable near-optimality guarantees. These characteristics, namely, efficiency and provable performance bounds, are of particular interest for signal processing (SP) and machine learning (ML) practitioners as a variety of discrete optimization problems are encountered in a wide range of applications. Conventionally, two general approaches exist to solve discrete problems: $(i)$ relaxation into the continuous domain to obtain an approximate solution, or $(ii)$ development of a tailored algorithm that applies directly in the discrete domain. In both approaches, worst-case performance guarantees are often hard to establish. Furthermore, they are often complex, thus not practical for large-scale problems. In this paper, we show how certain scenarios lend themselves to exploiting submodularity so as to construct scalable solutions with provable worst-case performance guarantees. We introduce a variety of submodular-friendly applications, and elucidate the relation of submodularity to convexity and concavity which enables efficient optimization. With a mixture of theory and practice, we present different flavors of submodularity accompanying illustrative real-world case studies from modern SP and ML. In all cases, optimization algorithms are presented, along with hints on how optimality guarantees can be established.
МАҲАЛЛИЙ ДАВЛАТ ҲОКИМИЯТИ ОРГАНЛАРИ НОРМА ИЖОДКОРЛИГИ ФАОЛИЯТИДА ҚОНУНИЙЛИКНИ ТАЪМИНЛАШДА ПРОКУРАТУРА ОРГАНЛАРИ АҲАМИЯТИНИ ОШИРИШ
Creators: name: Шокиров, Ойбек
Publisher: name: Zenodo
Year: 2024

description: Маҳаллий давлат ҳокимияти органлари норма ижодкорлиги роли ва аҳамиятини ўрганиш давомида, давлат томонидан қонун устуворлиги ва қонунийликни таъминлаш юзасидан олиб борилаётган ташкилий-ҳуқуқий чораларни қайд этиш лозим. Ушбу соҳада қабул қилинган муҳим ҳужжатлардан бири Ўзбекистон Республикаси Президентининг 2019 йил 13 декабрдаги “Конституция ва қонун устуворлигини таъминлаш, бу борада жамоатчилик назоратини кучайтириш ҳамда жамиятда ҳуқуқий маданиятни юксалтириш бўйича қўшимча чора-тадбирлар тўғрисида”ги ПҚ–4551-сон қароридир.
Thermoelectric properties of $n$-type SrTiO3
Creators: name: Sun, Jifeng
name: Singh, David J.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We present an investigation of the thermoelectric properties of cubic perovskite SrTiO3. The results are derived from a combination of calculated transport functions obtained from Boltzmann transport theory in the constant scattering time approximation based on the electronic structure and existing experimental data for La-doped SrTiO3. The figure of merit ZT is modeled with respect to carrier concentration and temperature. The model predicts a relatively high $ZT$ at optimized doping, and suggests that the $ZT$ value can reach 0.7 at T = 1400 K. Thus $ZT$ can be improved from the current experimental values by carrier concentration optimization.
Neural-network-assisted in situ processing monitoring by speckle pattern observation
Creators: name: Tani, Shuntaro
name: Aoyagi, Yutsuki
name: Kobayashi, Yohei
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: Signal Processing (eess.SP)
subject: Applied Physics (physics.app-ph)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Physical sciences

description: We propose a method to monitor the progress of laser processing using laser speckle patterns. Laser grooving and percussion drilling were performed using femtosecond laser pulses. The speckle patterns from a processing point were monitored with a high-speed camera and analyzed with a deep neural network. The deep neural network enabled us to extract multiple information from the speckle pattern without a need for analytical formulation. The trained neural network was able to predict the ablation depth with an uncertainty of 2 \micron, as well as the material under processing, which will be useful for composite material processing.
A lattice model of reduced jamming by barrier
Creators: name: Cirillo, Emilio N. M.
name: Muntean, Adrian
name: Krehel, Oleg
name: van Santen, Rutger
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Mathematical Physics (math-ph)
subject: Cellular Automata and Lattice Gases (nlin.CG)
subject: FOS: Physical sciences

description: We study an asymmetric simple exclusion process in a strip in the presence of a solid impenetrable barrier. We focus on the effect of the barrier on the residence time of the particles, namely, the typical time needed by the particles to cross the whole strip. We explore the conditions for reduced jamming when varying the environment (different drifts, reservoir densities, horizontal diffusion walks, etc.). Particularly, we discover an interesting non--monotonic behavior of the residence time as a function of the barrier length. Besides recovering by means of both the lattice dynamics and mean-field model well-known aspects like faster-is-slower effect and the intermittence of the flow, we propose also a birth-and-death process and a reduced one-dimensional model with variable barrier permeability to capture qualitatively the behavior of the residence time with respect to the parameters. We report our first steps towards the understanding to which extent the presence of obstacles can fluidize pedestrian and biological transport in crowded heterogeneous environments.
A Hybrid Diabetes Prediction Modern Model Based on Global & Local Learner Algorithms
Creators: name: Derara  Duba
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: Diabetes Mellitus, Global Learning, Local Learning, Stacking

description: Diabetes mellitus (DM) is a severe chronic disease that affects human health and has
 a high prevalence worldwide. Research has shown that half of the diabetic people
 throughout the world are unaware that they have the DM and its complications are
 increasing, which presents the new research challenge and opportunities. Therefore, in
 this research, a diversity-based hybrid machine learning method is proposed to predict
 the risk of diabetes onset. The proposed method so-called global-local learners stacking
 (GLLS); combines global and local learner algorithms to handle the difficulties in the
 data. The Specific model design of the proposed method is built on XGBoost and
 NB from global learners, KNN and SVM from local learners and aggregates them
 by stacking combining technique using LR as a meta-learner. The proposed GLLS
 model was evaluated by several performance measures and the results of different
 contrast experiments. The GLLS model compared with some of the state-of-the-art
 techniques using these two mainly considered Pima Indian diabetes dataset (PIDD)
 and Zewditu memorial hospital diabetes dataset (ZMHDD) and achieved the prediction
 performance of 99.5%, 99.5%, 99.5%, 99.1% and 100% in terms of accuracy, AUC, F1
 score, sensitivity, and specificity respectively on PIDD test data samples and 99.1%,
 98.9%, 98.9%, 97.9% and 100% respectively on ZMHDD test data samples. Moreover,
 the GLLS model is applied on three additional health-related data-sets (Messidor,
 WBC, and ILPD) to better validate it. As a result, the experimental analysis indicated,
 the proposed GLLS model outperforms the existing work for the prediction of diabetes
 and even for other diseases.
Fluorescence-detected Fourier transform electronic spectroscopy by phase-tagged photon counting
Creators: name: Tamimi, Amr
name: Landes, Tiemo
name: Lavoie, Jonathan
name: Raymer, Michael G.
name: Marcus, Andrew H.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: Fluorescence-detected Fourier transform (FT) spectroscopy is a technique in which the relative paths of an optical interferometer are controlled to excite a material sample, and the ensuing fluorescence is detected as a function of the interferometer path delay and relative phase. A common approach to enhance the signal-to-noise ratio in these experiments is to apply a continuous phase sweep to the relative optical path, and to detect the resulting modulated fluorescence using a phase-sensitive lock-in amplifier. In many important situations, the fluorescence signal is too weak to be measured using a lock-in amplifier, so that photon counting techniques are preferred. Here we introduce an approach to low-signal fluorescence-detected FT spectroscopy, in which individual photon counts are assigned to a modulated interferometer phase ('phase-tagged photon counting,' or PTPC), and the resulting data are processed to construct optical spectra. We studied the fluorescence signals of a molecular sample excited resonantly by a pulsed coherent laser over a range of photon flux and visibility levels. We compare the performance of PTPC to standard lock-in detection methods and establish the range of signal parameters over which meaningful measurements can be carried out. We find that PTPC generally outperforms the lock-in detection method, with the dominant source of measurement uncertainty being associated with the statistics of the finite number of samples of the photon detection rate.
description: 32 pages, 8 figures
A Study of Cosmic Expansion Generated by Non-conservation of Matter in the Framework of Brans-Dicke Theory
Creators: name: Roy, Sudipto
name: Islam, Mohsin
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The present study, on the expansion of universe, is based on an assumption regarding the possibility of inter-conversion between matter and dark energy, through some interaction of matter with the scalar field in the framework of Brans-Dicke theory. The field equations for a spatially flat space-time have been solved using an empirical dependence of scalar field parameter upon the scale factor. To represent the behaviour regarding the non-conservation of matter, a function, expressed in terms of the Hubble parameter, has been empirically incorporated into the field equations. Their solution shows that, this function, whose value is proportional to the matter content of the universe, decreases monotonically with time. This matter-field interaction generates late time acceleration, causing the deceleration parameter to change its sign from positive to negative. Time dependence of the proportion of dark energy component of the universe has been determined and shown graphically. Time variation of gravitational constant and the Brans-Dicke dimensionless parameter has been analyzed in the present study. The rate of generation of dark energy from matter has been found to affect the time variations of deceleration parameter and gravitational constant.
description: 12 pages, 8 figures
A Novel Controller Placement Algorithm using ant Colony optimization for software Defined Network s
Creators: name: Musie Frdiesa
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2021
Subjects: SDN, CPP, ACO, Latency, Load balance, throughput

description: Traditional network architectures (OSI & IP) are un-centralized, relatively static, complex to
 manage, and difficult to make any modification for new improvement. The exclusive devices in
 traditional network architectures are built on manual configurations which required a long time.
 Software-Defined Network (SDN) is exclusive as a new network architecture that decouples the
 forwarding (data) and control plane and has the potential to solve today’s network problems and
 improve network performance. One of the most vital issues of SD-WAN is computing the
 number and the optimal locations of its controllers to optimize the network latency and load
 balance. Herein we propose a population-based algorithm named Ant Colony Optimization
 Controller Placement (ACO-CP), to achieve better optimal controller locations. The objective
 function is defined by considering, the average and maximum of controller-to-controller, switchto-controller latency, and load balance. The main objective of this work is to reduce the global
 latency that affects the latency tolerance applications (i.e, virtual reality and augmented reality).
 The proposed method computed five controllers that are required to adopt Software Defined
 Network for Internet2 OS3E network topology. The result reveals that Ant Colony Optimization
 effectively improves the global latency and overall network performance compared to the Pareto
 simulated Annealing (PSA) and K-medoid methods
Learning Semantically Enhanced Feature for Fine-Grained Image Classification
Creators: name: Luo, Wei
name: Zhang, Hengmin
name: Li, Jun
name: Wei, Xiu-Shen
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: We aim to provide a computationally cheap yet effective approach for fine-grained image classification (FGIC) in this letter. Unlike previous methods that rely on complex part localization modules, our approach learns fine-grained features by enhancing the semantics of sub-features of a global feature. Specifically, we first achieve the sub-feature semantic by arranging feature channels of a CNN into different groups through channel permutation. Meanwhile, to enhance the discriminability of sub-features, the groups are guided to be activated on object parts with strong discriminability by a weighted combination regularization. Our approach is parameter parsimonious and can be easily integrated into the backbone model as a plug-and-play module for end-to-end training with only image-level supervision. Experiments verified the effectiveness of our approach and validated its comparable performance to the state-of-the-art methods. Code is available at https://github.com/cswluo/SEF
description: Accepted by IEEE Signal Processing Letters. 5 pages, 4 figures, 4 tables
The GAPS Programme at TNG. LIII. New insights on the peculiar XO-2 system
Creators: name: Ruggieri, A.
name: Desidera, S.
name: Biazzo, K.
name: Pinamonti, M.
name: Marzari, F.
name: Mantovan, G.
name: Sozzetti, A.
name: Bonomo, A. S.
name: Lanza, A. F.
name: Malavolta, L.
name: Claudi, R.
name: Damasso, M.
name: Gratton, R.
name: Nardiello, D.
name: Benatti, S.
name: Bignamini, A.
name: Andreuzzi, G.
name: Borsa, F.
name: Cabona, L.
name: Knapic, C.
name: Molinari, E.
name: Pino, L.
name: Zingales, T.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Planets in binary systems are a fascinating and yet poorly understood phenomenon. Since there are only a few known large-separation systems in which both components host planets, characterizing them is a key target for planetary science. In this paper, we aim to carry out an exhaustive analysis of the interesting XO-2 system, where one component appears to be a system with only one planet, while the other has at least three planets. Over the last 9 years, we have collected 39 spectra of XO-2N and 106 spectra of XO-2S with the High Accuracy Radial velocity Planet Searcher for the Northern emisphere (HARPS-N) in the framework of the Global Architecture of Planetary Systems project, from which we derived precise radial velocity and activity indicator measurements. Additional spectroscopic data from the High Resolution Echelle Spectrometer and from the High Dispersion Spectrograph, and the older HARPS-N data presented in previous papers, have also been used to increase the total time span. We also used photometric data from TESS to search for potential transits that have not been detected yet. For our analysis, we mainly used PyORBIT, an advanced Python tool for the Bayesian analysis of RVs, activity indicators, and light curves. We found evidence for an additional long-period planet around XO-2S and characterized the activity cycle likely responsible for the long-term RV trend noticed for XO-2N. The new candidate is an example of a Jovian analog with $m\sin i \sim 3.7$ M$_J$, $a \sim 5.5$ au, and $e = 0.09$. We also analyzed the stability and detection limits to get some hints about the possible presence of additional planets. Our results show that the planetary system of XO-2S is at least one order of magnitude more massive than that of XO-2N. The implications of these findings for the interpretation of the previously known abundance difference between components are also discussed.
Jets in d(p)-A Collisions: Color Transparency or Energy Conservation
Creators: name: Kordell, Michael
name: Majumder, Abhijit
Publisher: name: arXiv
Year: 2016
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The production of jets, and high momentum hadrons from jets, produced in deuteron ($d$)-$Au$ collisions at the relativistic heavy-ion collider (RHIC) and proton ($p$)-$Pb$ collisions at the large hadron collider (LHC) are studied as a function of centrality, a measure of the impact parameter of the collision. A modified version of the event generator PYTHIA, widely used to simulate $p$-$p$ collisions, is used in conjunction with a nuclear Monte-Carlo event generator which simulates the locations of the nucleons within a large nucleus. We demonstrate how events with a hard jet may be simulated, in such a way that the parton distribution function of the projectile is frozen during its interaction with the extended nucleus. Using our approach, we demonstrate that the puzzling enhancement seen in peripheral events at RHIC and the LHC, as well as the suppression seen in central events at the LHC are mainly due to mis-binning of central and semi-central events, containing a jet, as peripheral events. This occurs due to the suppression of soft particle production away from the jet, caused by the depletion of energy available in a nucleon of the deuteron (in $d$-$Au$ at RHIC) or in the proton (in $p$-$Pb$ at LHC), after the production of a hard jet. We conclude that partonic correlations built out of simple energy conservation are mostly responsible for such an effect.
description: 15 pages, 22 figures; abstract updated
INVESTIGATION OF Ag2HgI4 NANOPARTICLES: THERMAL PHASE TRANSITION AND NON-ISOTHERMAL KINETIC STUDY
Creators: name: Mansour, Abdelfattah
Publisher: name: figshare
Year: 2023
Subjects: Structural properties of condensed matter
Surface properties of condensed matter
Electronic and magnetic properties of condensed matter; superconductivity

description: Ag2HgI4 nano-powder was successively prepared by the solvothermal method. The structure and morphology of the resulted powder were characterized by X-ray diffraction technique, electron dispersive x-ray spectroscopy (EDX), and scanning electron microscope (SEM). Phase transformation was studied by differential thermal analysis (DTA) at 5, 10, 15, 20, 25, and 30 degrees/minute heating rates. The non-isothermal apparent activation energy of the attained thermal transitions was calculated by Kissinger, Flynn-Wall-Ozawa, and Augis-Bennett approaches respectively.
Coded aperture correlation holographic microscope for single-shot quantitative phase imaging with extended field of view
Creators: name: Hai, Nathaniel
name: Rosen, Joseph
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optics (physics.optics)
subject: Image and Video Processing (eess.IV)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Recently, a method of recording holograms of coherently illuminated three-dimensional scene without two-wave interference was demonstrated. The method is an extension of the coded aperture correlation holography from incoherent to coherent illumination. Although this method is practical for some tasks, it is not capable of imaging phase objects, a capability that is an important benefit of coherent holography. The present work addresses this limitation by using the same type of coded phase masks in a modified Mach-Zehnder interferometer. We show that by several comparative parameters, the coded aperture-based phase imaging is superior to the equivalent open aperture-based method. As an additional merit of the coded aperture approach, a framework for increasing the system's field of view is formulated and demonstrated for both amplitude and phase objects. The combination of high sensitivity quantitative phase microscope with increased field of view in a single camera shot holographic apparatus, has immense potential to serve as the preferred tool for examination of biological tissues and micro-organisms.
[B.7.04.b.] Robert VIZET, Noëlle LERESTE, Claude SCHUHL… répondent à vos questions
Creators: name: Diard, Jean
name: Bidou, Jacques (1945-....)
Publisher: name: École des Hautes Études en Sciences Sociales; Uni/Ci/Té
Year: 2023
Subjects: http://www.idref.fr/027299031/id
http://www.idref.fr/034705074/id
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http://www.idref.fr/050613995/id

Abstract
New insights from 3D simulations of heavy ion collisions
Creators: name: Denicol, Gabriel
name: Monnai, Akihiko
name: Ryu, Sangwook
name: Schenke, Bjoern
Publisher: name: arXiv
Year: 2015
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: Viscous relativistic hydrodynamics in 3+1 dimensions is applied to describe heavy ion collisions at RHIC and LHC. We present calculations of observables that are sensitive to the longitudinal structure of the created system. In particular we present pseudo-rapidity correlations and demonstrate their dependence on both the initial state and short range correlations introduced via a microscopic transport description. We further demonstrate the effect of a varying temperature dependence of the shear viscosity to entropy density ratio on rapidity dependent flow harmonics.
description: 4 pages, 2 figures, Proceedings of the Quark Matter 2015 conference, September 27 - October 3, 2015, Kobe, Japan