cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Una mirada a la violencia física contra los niños y niñas en los hogares peruanos: magnitudes, factores asociados y transmisión de la violencia de madres a hijos e hijas
Creators: name: Benavides, Martín
name: León, Juan
name: Benavides, Martín
name: León, Juan
Publisher: name: Unknown
Year: 2013
Subjects: subject: Public Economics
subject: Abuso de menores
subject: Maltrato a menores
subject: Violencia
subject: Niños
subject: Problemas sociales
subject: Perú
subject: Child abuse
subject: Violence
subject: Children
subject: Social problems
subject: Peru

description: El maltrato infantil tiene lugar en ámbitos que, supuestamente, tienen la misión de asegurar la protección y afecto de los menores: el hogar o la escuela. Al respecto, la literatura muestra que el tipo de violencia más frecuente es la física, causada por los padres o algún otro miembro del hogar. Asimismo, diferentes estudios han encontrado que la violencia infantil no solo trae consecuencias a corto plazo; sino también, puede llegar a afectar el desarrollo a largo plazo de los niños y niñas. De igual modo, el maltrato infantil puede conllevar a problemas escolares, tanto en el plano cognitivo como en el de la interacción social. Este estudio pretende ser un aporte a la literatura sobre violencia infantil en el Perú. Su aspecto innovador radica en la mirada intertemporal de esta problemática a partir de bases de datos representativas a nivel nacional. Indagará, por un lado, sobre los factores de riesgo dentro del hogar o del contexto que expliquen la prevalencia de la violencia física contra los niños y niñas, y, por otro, investigará los efectos de las actitudes positivas de las madres frente al castigo infantil y su historial de violencia física (padecida durante su infancia por sus padres; así como también, el historial de violencia ejercido por su cónyuge o última pareja).
Semantic filtering by inference on domain knowledge in spoken dialogue systems
Creators: name: Ballim, Afzal
name: Pallotta, Vincenzo
Publisher: name: arXiv
Year: 2004
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Human-Computer Interaction (cs.HC)
subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences
subject: H.5.2;H.3.1;H.3.4

description: General natural dialogue processing requires large amounts of domain knowledge as well as linguistic knowledge in order to ensure acceptable coverage and understanding. There are several ways of integrating lexical resources (e.g. dictionaries, thesauri) and knowledge bases or ontologies at different levels of dialogue processing. We concentrate in this paper on how to exploit domain knowledge for filtering interpretation hypotheses generated by a robust semantic parser. We use domain knowledge to semantically constrain the hypothesis space. Moreover, adding an inference mechanism allows us to complete the interpretation when information is not explicitly available. Further, we discuss briefly how this can be generalized towards a predictive natural interactive system.
description: 6 pages
A Learning-from-Observation Framework: One-Shot Robot Teaching for Grasp-Manipulation-Release Household Operations
Creators: name: Wake, Naoki
name: Arakawa, Riku
name: Yanokura, Iori
name: Kiyokawa, Takuya
name: Sasabuchi, Kazuhiro
name: Takamatsu, Jun
name: Ikeuchi, Katsushi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: A household robot is expected to perform various manipulative operations with an understanding of the purpose of the task. To this end, a desirable robotic application should provide an on-site robot teaching framework for non-experts. Here we propose a Learning-from-Observation (LfO) framework for grasp-manipulation-release class household operations (GMR-operations). The framework maps human demonstrations to predefined task models through one-shot teaching. Each task model contains both high-level knowledge regarding the geometric constraints and low-level knowledge related to human postures. The key idea is to design a task model that 1) covers various GMR-operations and 2) includes human postures to achieve tasks. We verify the applicability of our framework by testing an operational LfO system with a real robot. In addition, we quantify the coverage of the task model by analyzing online videos of household operations. In the context of one-shot robot teaching, the contribution of this study is a framework that 1) covers various GMR-operations and 2) mimics human postures during the operations.
description: 6 pages, 6 figures. Submitted to and accepted by IEEE/SICE SII 2021. Last updated October 20th, 2020
The Fermi surface of Na$_{x}$CoO$_2$
Creators: name: Zhang, Peihong
name: Luo, Weidong
name: Cohen, Marvin L.
name: Louie, Steven G.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: Doping evolution of the Fermi surface topology of Na$_x$CoO$_2$ is studied systematically. Both local density approximation (LDA) and local spin density approximation (LSDA) predict a large Fermi surface as well as small hole pockets for doping levels $x\sim$ 0.5. In contrast, the hole pockets are completely absent for all doping levels within LSDA+U. More importantly, we find no violation of Luttinger's rule in this system, contrary to a recent suggestion. The measured Fermi surface of Na$_{0.7}$CoO$_2$ can be explained by its half-metallic behavior and agrees with our LSDA+U calculations.
title: DEHYDROGENATION OF A CRUMPLED GRAPHENE FLAKE: MOLECULAR DYNAMICS
Creators: name: Apkadirova, N.G.
name: Krylova, K.A.
name: Mulyukov, R.R.
Publisher: name: Peter the Great St. Petersburg Polytechnic University
Year: 2021
Subjects: Методом молекулярной динамики исследован процесс разводораживания чешуйки скомканного графена при температурах 77
100
150
200
250 и 300 К.
Using molecular dynamics simulation
the dehydrogenation process of a crumpled graphene flake during annealing at 77
250
and 300 K for 200 ps is considered.

description: С помощью молекулярно-динамического моделирования рассмотрен процесс дегидрирования смятой чешуйки графена во время отжига при 77, 100, 150, 200, 250 и 300 К в течение 200 пс. Установлено, что отжиг при Т = 77 К в течение первых 50 пс не влияет на гравиметрическую плотность. Дальнейшая выдержка при этой температуре приводит к резкому снижению гравиметрической плотности до 7,6 вес.%. Установлено, что чем выше температура, тем быстрее идет процесс дегидрирования углеродной структуры. При температурах отжига выше 150 K гравиметрическая плотность смятого графена устанавливается на постоянное значение, и увеличение времени отжига не приводит к изменению гравиметрической плотности. Это связано с тем, что некоторые из атомов водорода, оставшихся в структуре, осаждаются на краевых атомах углерода, образуя прочную ковалентную связь, которая не может быть разорвана при такой температуре.
description: Using molecular dynamics simulation, the dehydrogenation process of a crumpled graphene flake during annealing at 77, 100, 150, 200, 250, and 300 K for 200 ps is considered. It is found, that annealing at T = 77 K during the first 50 ps does not affect the gravimetric density. Further, exposure at this temperature results in a sharp decrease in the gravimetric density to 7.6 wt.%. It is found that the higher the temperature, the faster the dehydrogenation process of the carbon structure. At annealing temperatures above 150 K, the gravimetric density of crumpled graphene is set to a constant value, and an increase in the annealing time does not lead to a change of gravimetric density. This is because some of the hydrogen atoms remaining in the structure are deposited on the edge carbon atoms, forming a strong covalent bond that cannot be broken at such temperature.
Squaring the fermion: The threefold way and the fate of zero modes
Creators: name: Xu, Qiao-Ru
name: Flynn, Vincent P.
name: Alase, Abhijeet
name: Cobanera, Emilio
name: Viola, Lorenza
name: Ortiz, Gerardo
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We investigate topological properties and classification of mean-field theories of stable bosonic systems. Of the three standard classifying symmetries, only time-reversal represents a real symmetry of the many-boson system, while the other two, particle-hole and chiral, are simply constraints that manifest as symmetries of the effective single-particle problem. For gapped systems in arbitrary space dimension we establish three fundamental no-go theorems that prove the absence of: parity switches, symmetry-protected-topological quantum phases, and localized bosonic zero modes under open boundary conditions. We then introduce a squaring, kernel-preserving map connecting non-interacting Hermitian theories of fermions and stable boson systems, which serves as a playground to reveal the role of topology in bosonic phases and their localized midgap boundary modes. Finally, we determine the symmetry classes inherited from the fermionic tenfold-way classification, unveiling an elegant threefold-way topological classification of non-interacting bosons. We illustrate our main findings in one- and two-dimensional bosonic lattice and field-theory models.
description: 26+5 pages, 3 figures, 9 tables
Repeating behaviour of FRB 121102: periodicity, waiting times and energy distribution
Creators: name: Cruces, M.
name: Spitler, L. G.
name: Scholz, P.
name: Lynch, R.
name: Seymour, A.
name: Hessels, J. W. T.
name: Gouiffès, C.
name: Hilmarsson, G. H.
name: Kramer, M.
name: Munjal, S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Detections from the repeating fast radio burst FRB 121102 are clustered in time, noticeable even in the earliest repeat bursts. Recently, it was argued that the source activity is periodic, suggesting that the clustering reflected a not-yet-identified periodicity. We performed an extensive multi-wavelength campaign with the Effelsberg telescope, the Green Bank telescope and the Arecibo Observatory to shadow the Gran Telescope Canaria (optical), NuSTAR (X-ray) and INTEGRAL (gamma-ray). We detected 36 bursts with Effelsberg, one with a pulse width of 39\,ms, the widest burst ever detected from FRB 121102. With one burst detected during simultaneous NuSTAR observations, we place a 5-$σ$ upper limit of $5\times10^{47}$ erg on the 3--79\,keV energy of an X-ray burst counterpart. We tested the periodicity hypothesis using 165-hr of Effelsberg observations and find a periodicity of 161$\pm$5 days. We predict the source to be active from 2020-07-09 to 2020-10-14 and subsequently from 2020-12-17 to 2021-03-24. We compare the wait times between consecutive bursts within a single observation to Weibull and Poisson distributions. We conclude that the strong clustering was indeed a consequence of a periodic activity and show that if the few events with millisecond separation are excluded, the arrival times are Poisson distributed. We model the bursts' cumulative energy distribution with energies from ${\sim}10^{38}$-$10^{39}$ erg and find that it is well described by a power-law with slope of $γ=-1.1\pm 0.2$. We propose that a single power-law might be a poor descriptor of the data over many orders of magnitude.
Intelligent Radome Design Using Multilayer Metamaterial Structures to Realize Energy Isolation and Asymmetric Propagation of Electromagnetic Wave
Creators: name: Yuan, Jing
name: Kong, Xiangkun
name: Wang, Qi
name: Wu, Chen
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: An intelligent radome utilizing composite metamaterial structures is presented and investigated in this article, which can realize energy isolation and asymmetric propagation of electromagnetic (EM) wave self-adaptively by controlling states of PIN diodes. The whole structure mainly consists of a broadband polarization-sensitive polarization converter (PC) and an active frequency selective rasorber (AFSR) switching between a transmission mode and absorption mode which is used as an energy-selective surface (ESS). Among them, the function of the PC is to make the EM waves transmit asymmetrically, and the purpose of AFSR is to make the high-power waves be reflected or absorbed, which depends on the polarization type of the wave. Thus, the radome can realize both asymmetric propagations of EM wave and electromagnetic shielding. The equivalent circuit models (ECM) and parametric studies are considered to explain the physical operating mechanism of PC and AFSR. The fabricated structure with 7*7 unit cells is experimentally demonstrated and the measured results agree with simulated results well. Considering the distinctive characteristic of self-actuation, the presented concept has the potential application in electromagnetic stealth and HPEMWs shielding to protect communication devices.
Crystalline boson phases in harmonic traps: Beyond the Gross-Pitaevskii mean field
Creators: name: Romanovsky, Igor
name: Yannouleas, Constantine
name: Landman, Uzi
Publisher: name: arXiv
Year: 2004
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Nuclear Theory (nucl-th)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: Strongly repelling bosons in two-dimensional harmonic traps are described through breaking of rotational symmetry at the Hartree-Fock level and subsequent symmetry restoration via projection techniques, thus incorporating correlations beyond the Gross-Pitaevskii (GP) solution. The bosons localize and form polygonal-ring-like crystalline patterns, both for a repulsive contact potential and a Coulomb interaction, as revealed via conditional-probability-distribution analysis. For neutral bosons, the total energy of the crystalline phase saturates in contrast to the GP solution, and its spatial extent becomes smaller than that of the GP condensate. For charged bosons, the total energy and dimensions approach the values of classical point-like charges in their equilibrium configuration.
description: Published version. Typos corrected. REVTEX4; 5 pages with 3 PS figures. For related papers, see http://www.prism.gatech.edu/~ph274cy
"Paris car parking problem" for partially ordered discorectangles on a line
Creators: name: Lebovka, Nikolai I.
name: Tatochenko, Mykhailo O.
name: Vygornitskii, Nikolai V.
name: Tarasevich, Yuri Yu.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The random sequential adsorption (RSA) of identical elongated particles (discorectangles) on a line ("Paris car parking problem") was studied numerically. An off-lattice model with continuous positional and orientational degrees of freedom was considered. The possible orientations of the discorectanles were restricted between $θ\in [-θ_\text{m}; θ_\text{m}]$ while the aspect ratio (length-to-width ratio) for the discorectangles was varied within the range $\varepsilon \in [1;100]$. Additionally, the limiting case $\varepsilon=\infty$ (i.e., widthless sticks) was considered. We observed, that the RSA deposition for the problem under consideration was governed by the formation of rarefied holes (containing particles oriented along a line) surrounded by comparatively dense stacks (filled with almost parallel particles oriented in the vertical direction). The kinetics of the changes of the order parameter, and the packing density are discussed. Partial ordering of the discorectangles significantly affected the packing density at the jamming state, $φ_\text{j}$, and shifted the cusps in the $φ_\text{j}(\varepsilon)$ dependencies. This can be explained by the effects on the competition between the particles' orientational degrees of freedom and the excluded volume effects.
description: 10 pages, 12 figures, 32 references
Generalized Elitzur's Theorem and Dimensional Reduction
Creators: name: Batista, Cristian D.
name: Nussinov, Zohar
Publisher: name: arXiv
Year: 2004
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We extend Elitzur's theorem to systems with symmetries intermediate between global and local. In general, our theorem formalizes the idea of {\it dimensional reduction}. We apply the results of this generalization to many systems that are of current interest. These include liquid crystalline phases of Quantum Hall systems, orbital systems, geometrically frustrated spin lattices, Bose metals, and models of superconducting arrays.
description: 10 pages, 1 figure
Various Super Yang-Mills Theories with Exact Supersymmetry on the Lattice
Creators: name: Sugino, Fumihiko
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We continue to construct lattice super Yang-Mills theories along the line discussed in the previous papers \cite{sugino, sugino2}. In our construction of ${\cal N}=2, 4$ theories in four dimensions, the problem of degenerate vacua seen in \cite{sugino} is resolved by extending some fields and soaking up would-be zero-modes in the continuum limit, while in the weak coupling expansion some surplus modes appear both in bosonic and fermionic sectors reflecting the exact supersymmetry. A slight modification to the models is made such that all the surplus modes are eliminated in two- and three-dimensional models obtained by dimensional reduction thereof. ${\cal N}=4, 8$ models in three dimensions need fine-tuning of three and one parameters respectively to obtain the desired continuum theories, while two-dimensional models with ${\cal N}=4, 8$ do not require any fine-tuning.
description: 28 pages, no figure, LaTeX, JHEP style; (v2) published version to JHEP; (v3) argument on the vacuum degeneracy revised, 34 pages
Pseudo-Goldstone dark matter: gravitational waves and direct-detection blind spots
Creators: name: Alanne, Tommi
name: Benincasa, Nico
name: Heikinheimo, Matti
name: Kannike, Kristjan
name: Keus, Venus
name: Koivunen, Niko
name: Tuominen, Kimmo
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Pseudo-Goldstone dark matter is a thermal relic with momentum-suppressed direct-detection cross section. We study the most general model of pseudo-Goldstone dark matter arising from the complex-singlet extension of the Standard Model. The new U(1) symmetry of the model is explicitly broken down to a CP-like symmetry stabilising dark matter. We study the interplay of direct-detection constraints with the strength of cosmic phase transitions and possible gravitational-wave signals. While large U(1)-breaking interactions can generate a large direct-detection cross section, there are blind spots where the cross section is suppressed. We find that sizeable cubic couplings can give rise to a first-order phase transition in the early universe. We show that there exist regions of the parameter space where the resulting gravitational-wave signal can be detected in future by the proposed Big Bang Observer detector.
description: 32 pages, 11 figures, published version
Additional file 8 of High-resolution profile of transcriptomes reveals a role of alternative splicing for modulating response to nitrogen in maize
Creators: name: Yuancong Wang
name: Jinyan Xu
name: Ge, Min
name: Lihua Ning
name: Mengmei Hu
name: Zhao, Han
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 8: Table S2. Transcriptional abundance (log2 TPM + 1) of genes in RNA-Seq analysis.
Hedonic price indexes of computers : an empirical comparison
Creators: name: Duan, Hui
Publisher: name: University of British Columbia
Year: 2010

description: This thesis compares the price changes of different computer platforms (desktop computers, notebooks, servers and workstations) in the 1998-2002 period using several hedonic methods to calculate price indexes on quarterly basis. It then discusses the differences among hedonic price indexes and their properties in terms of bias, variance and resource. It further examines the effect of weight on certain price indexes. The findings should provide empirical insight into the hedonic quality-adjustment in price indexes, as well as the construction of CPI/PPI of ICT products for statistical agencies in OECD countries.
An algebraic model for the loop space homology of a homotopy fiber
Creators: name: Hess, Kathryn
name: Levi, Ran
Publisher: name: arXiv
Year: 2004
Subjects: subject: Algebraic Topology (math.AT)
subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics
subject: 55P35 (Primary); 16W30, 18G15, 18G55, 55U10, 55U35, 57T05, 57T25, 57T30 (Secondary)

description: Let F denote the homotopy fiber of a map f:K-->L of 2-reduced simplicial sets. Using as input data the strongly homotopy coalgebra structure of the chain complexes of K and L, we construct a small, explicit chain algebra, the homology of which is isomorphic as a graded algebra to the homology of GF, the simplicial (Kan) loop group on F. To construct this model, we develop machinery for modeling the homotopy fiber of a morphism of chain Hopf algebras. Essential to our construction is a generalization of the operadic description of the category DCSH of chain coalgebras and of strongly homotopy coalgebra maps given in (math.AT/0505559) to strongly homotopy morphisms of comodules over Hopf algebras. This operadic description is expressed in terms of a general theory of monoidal structures in categories with morphism sets parametrized by co-rings, which we elaborate here.
description: Introduction revised, some reorganization, 54 pages
Wave propagation in semi-convective regions of giant planets
Creators: name: Pontin, Christina M.
name: Barker, Adrian J.
name: Hollerbach, Rainer
name: André, Quentin
name: Mathis, Stéphane
Publisher: name: arXiv
Year: 2020
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Recent observations of Jupiter and Saturn suggest that heavy elements may be diluted in the gaseous envelope, providing a compositional gradient that could stabilise ordinary convection and produce a stably-stratified layer near the core of these planets. This region could consist of semi-convective layers with a staircase-like density profile, which have multiple convective zones separated by thin stably-stratified interfaces, as a result of double-diffusive convection. These layers could have important effects on wave propagation and tidal dissipation that have not been fully explored. We analyse the effects of these layers on the propagation and transmission of internal waves within giant planets, extending prior work in a local Cartesian model. We adopt a simplified global Boussinesq planetary model in which we explore the internal waves in a non-rotating spherical body. We begin by studying the free modes of a region containing semi-convective layers. We then analyse the transmission of internal waves through such a region. The free modes depend strongly on the staircase properties, and consist of modes with both internal and interfacial gravity wave-like behaviour. We determine the frequency shifts of these waves as a function of the number of steps to explore their potential to probe planetary internal structures. We also find that wave transmission is strongly affected by the presence of a staircase. Very large-wavelength waves are transmitted efficiently, but small-scale waves are only transmitted if they are resonant with one of the free modes. The effective size of the core is therefore larger for non-resonant modes.
description: 19 pages, 14 figures, accepted for publication in MNRAS on 2nd March 2020
Effects of Final State Interactions on Hadronic Charmless B Decays
Creators: name: Cheng, Hai-Yang
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Final-state rescattering effects on direct CP violation in charmless hadronic B decays and on the polarization anomaly in $B\toϕK^*$ are discussed.
description: 3 pages, talk given at the 2004 DPF Meeting, Riverside, CA. Aug 26-31, 2004
Performance Evaluation of Deep Learning and Transformer Models Using Multimodal Data for Breast Cancer Classification
Creators: name: Hussain, Sadam
name: Ali, Mansoor
name: Naseem, Usman
name: Palomo, Beatriz Alejandra Bosques
name: Molina, Mario Alexis Monsivais
name: Abdala, Jorge Alberto Garza
name: Avalos, Daly Betzabeth Avendano
name: Cardona-Huerta, Servando
name: Gulliver, T. Aaron
name: Pena, Jose Gerardo Tamez
Publisher: name: arXiv
Year: 2024
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Rising breast cancer (BC) occurrence and mortality are major global concerns for women. Deep learning (DL) has demonstrated superior diagnostic performance in BC classification compared to human expert readers. However, the predominant use of unimodal (digital mammography) features may limit the current performance of diagnostic models. To address this, we collected a novel multimodal dataset comprising both imaging and textual data. This study proposes a multimodal DL architecture for BC classification, utilising images (mammograms; four views) and textual data (radiological reports) from our new in-house dataset. Various augmentation techniques were applied to enhance the training data size for both imaging and textual data. We explored the performance of eleven SOTA DL architectures (VGG16, VGG19, ResNet34, ResNet50, MobileNet-v3, EffNet-b0, EffNet-b1, EffNet-b2, EffNet-b3, EffNet-b7, and Vision Transformer (ViT)) as imaging feature extractors. For textual feature extraction, we utilised either artificial neural networks (ANNs) or long short-term memory (LSTM) networks. The combined imaging and textual features were then inputted into an ANN classifier for BC classification, using the late fusion technique. We evaluated different feature extractor and classifier arrangements. The VGG19 and ANN combinations achieved the highest accuracy of 0.951. For precision, the VGG19 and ANN combination again surpassed other CNN and LSTM, ANN based architectures by achieving a score of 0.95. The best sensitivity score of 0.903 was achieved by the VGG16+LSTM. The highest F1 score of 0.931 was achieved by VGG19+LSTM. Only the VGG16+LSTM achieved the best area under the curve (AUC) of 0.937, with VGG16+LSTM closely following with a 0.929 AUC score.
description: The paper was accepted and presented in 3rd Workshop on Cancer Prevention, detection, and intervenTion (CaPTion @ MICCAI 2024)
XV Международная научно-практическая конференция «РАЗВИТИЕ СОВРЕМЕННОЙ НАУКИ И ТЕХНОЛОГИЙ В УСЛОВИЯХ ТРАНСФОРМАЦИОННЫХ ПРОЦЕССОВ»
Creators: name: ООО "Институт развития образования и консалтинга"
Publisher: name: ООО "Институт развития образования и консалтинга"
Year: 2024

description: XV Международная научно-практическая конференция «РАЗВИТИЕ СОВРЕМЕННОЙ НАУКИ И ТЕХНОЛОГИЙ В УСЛОВИЯХ ТРАНСФОРМАЦИОННЫХ ПРОЦЕССОВ»
title: Effect of grain size distribution on the yield strength of metal-graphene composites
Creators: name: Bobylev, S.V.
name: Sheinerman, A.G.
Publisher: name: Peter the Great St. Petersburg Polytechnic University
Year: 2021
Subjects: композиты металл-графен
ультрамелкозернистые материалы
предел текучести
зернограничное скольжение
metal-graphene composites
ultrafine-grained materials
yield strength
grain boundary sliding

description: A theoretical model describing effect of grain size distribution in the metal matrix of metal-graphene composite on its yield strength. The model describes the initial stage of plastic deformation in metal-graphene composites and takes into account both dislocation mechanisms of plasticity and the process of grain boundary sliding. The yield strength of aluminum-graphene composite was calculated depending on the average grain size of the matrix and the volume fraction of graphene. Our analysis shows that the presence of a dispersion in the grain size distribution of the metal matrix decreases the yield stress so special attention should be paid to reducing this dispersion during synthesis of the composite.
Light Front Approach for Strong and Weak Decays of Pentaquarks
Creators: name: Cheng, Hai-Yang
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Strong and weak decays of pentaquarks are studied in the framework of the light-front approach.
description: 3 pages, talk given at the 2004 DPF Meeting, Riverside, CA. Aug 26-31, 2004
Additional file 9 of High-resolution profile of transcriptomes reveals a role of alternative splicing for modulating response to nitrogen in maize
Creators: name: Yuancong Wang
name: Jinyan Xu
name: Ge, Min
name: Lihua Ning
name: Mengmei Hu
name: Zhao, Han
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 9: Table S3. The fold changes and FDR values based on the RNA-seq analysis.
Dynamical Kernels for Optical Excitations
Creators: name: Authier, Juliette
name: Loos, Pierre-François
Publisher: name: arXiv
Year: 2020
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: We discuss the physical properties and accuracy of three distinct dynamical (ie, frequency-dependent) kernels for the computation of optical excitations within linear response theory: i) an a priori built kernel inspired by the dressed time-dependent density-functional theory (TDDFT) kernel proposed by Maitra and coworkers, ii) the dynamical kernel stemming from the Bethe-Salpeter equation (BSE) formalism derived originally by Strinati , and iii) the second-order BSE kernel derived by Yang and coworkers . The principal take-home message of the present paper is that dynamical kernels can provide, thanks to their frequency-dependent nature, additional excitations that can be associated to higher-order excitations (such as the infamous double excitations), an unappreciated feature of dynamical quantities. We also analyze, for each kernel, the appearance of spurious excitations originating from the approximate nature of the kernels, as first evidenced by Romaniello. Using a simple two-level model, prototypical examples of valence, charge-transfer, and Rydberg excited states are considered.
description: 9 pages, 3 figures
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving
Creators: name: Yang, Zhenpei
name: Chai, Yuning
name: Anguelov, Dragomir
name: Zhou, Yin
name: Sun, Pei
name: Erhan, Dumitru
name: Rafferty, Sean
name: Kretzschmar, Henrik
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Autonomous driving system development is critically dependent on the ability to replay complex and diverse traffic scenarios in simulation. In such scenarios, the ability to accurately simulate the vehicle sensors such as cameras, lidar or radar is essential. However, current sensor simulators leverage gaming engines such as Unreal or Unity, requiring manual creation of environments, objects and material properties. Such approaches have limited scalability and fail to produce realistic approximations of camera, lidar, and radar data without significant additional work. In this paper, we present a simple yet effective approach to generate realistic scenario sensor data, based only on a limited amount of lidar and camera data collected by an autonomous vehicle. Our approach uses texture-mapped surfels to efficiently reconstruct the scene from an initial vehicle pass or set of passes, preserving rich information about object 3D geometry and appearance, as well as the scene conditions. We then leverage a SurfelGAN network to reconstruct realistic camera images for novel positions and orientations of the self-driving vehicle and moving objects in the scene. We demonstrate our approach on the Waymo Open Dataset and show that it can synthesize realistic camera data for simulated scenarios. We also create a novel dataset that contains cases in which two self-driving vehicles observe the same scene at the same time. We use this dataset to provide additional evaluation and demonstrate the usefulness of our SurfelGAN model.
Intriguing effects of underlying star topology in Schelling's model with blocks
Creators: name: Su, Guifeng
name: Xiong, Qi
name: Zhang, Yi
Publisher: name: arXiv
Year: 2020
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We explore the intriguing effects of underlying star topological structure in the framework of Schelling's segregation model with blocks. The significant consequences exerted by the star topology are both theoretically analysed and numerically simulated with and without introducing a fraction of altruistic agents, respectively. The collective utility of the model with pure egoists alone can be optimized and the optimum stationary state is achieved with the underlying star topology of blocks. More surprisingly, once a proportion of altruists are introduced, the average utility gradually decreases as altruists' fraction increases. This presents a sharp contrast to the results in Schelling's model with lattice topology of blocks. Furthermore, an adding-link mechanism is introduced to bridge the gap between the lattice and the star topologies, and extend our analysis to more general scenarios. A novel scaling law of the average utility function are found for star topology of blocks.
description: 7 pages, accepted by PRE
Parity-even and Parity-odd Mesons in Covariant Light-front Approach
Creators: name: Cheng, Hai-Yang
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Decay constants and form factors for parity-even (s-wave) and parity-odd (p-wave) mesons are studied within a covariant light-front approach. The three universal Isgur-Wise functions for heavy-to-heavy meson transitions are obtained.
description: 3 pages, talk given at the 2004 DPF Meeting, Riverside, CA. Aug 26-31, 2004
Constraints to Agricultural Technology Adoption in Uganda: Evidence from the 2005/06-2009/10 Uganda National Panel Survey
Creators: name: Ibrahim, Kasirye
name: Ibrahim, Kasirye
Publisher: name: Unknown
Year: 2013
Subjects: subject: Agribusiness
subject: Agricultural Finance
subject: Consumer/Household Economics
subject: Crop Production/Industries
subject: Farm Management
subject: Institutional and Behavioral Economics
subject: Land Economics/Use
subject: Livestock Production/Industries
subject: Research and Development/Tech Change/Emerging Technologies
subject: Agricultural technologies adoption
subject: Improved seeds and fertilizer
subject: Farming households
subject: Uganda
subject: EPRC

description: The study examines the determinants of improved agricultural technologies adoption in Uganda, using a nationally representative panel data set of 1,600 farming households, collected by the Ugandan Bureau of Statistics in 2005/6 and 2009/10. Two agricultural technologies—improved seeds and fertilizer—out of the seven types identified by the study were further considered and analyzed. Estimates from the probit regression model show that farmers with low education and land holdings are less likely to adopt improved seeds and fertilizer, while peer effects play a big role in influencing farmers to either use improved seeds or fertilizer. Furthermore, cattle keeping farmers in Western Uganda are more likely to abandon fertilizers and possibly resort to organic manure from livestock excreta. Policy, therefore, should be directed at addressing the supply side constraints of agricultural technologies.
Production of overdense plasmas by launching 2,45 GHz electron cyclotron waves in a helical device
Creators: name: Ikeda, Ryosuke
name: Takeuchi, Masaki
name: Ito, Takafumi
name: Toi, Kazuo
name: Suzuki, Chihiro
name: Matsunaga, Go
name: Okamura, Shoichi
name: Group, Chs
Publisher: name: arXiv
Year: 2004
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: For production of low temperature plasmas with low collisionality, 2.45GHz microwave power up to 20kW is injected perpendicularly to the toroidal field at very low toroidal field Bt
description: 12th International Congress on Plasma Physics, 25-29 October 2004, Nice (France)
Diabetes Poster
Creators: name: Ean, Mom
name: Hem, Vattanak
Publisher: name: Zenodo
Year: 2024

description: These Diabetes posters were created by the Siem Pang Youth Advisory Group on Health and Research Engagement (YAGHRE) group with advice from researchers at the MORU-Siem Pang research centre for the 5 secondary schools and 1 high school in the Siem Pang district in March 2024 and May 2024. They were used during a health education day at each school. The purpose was to provide health knowledge information to school students and to improve the health of people in the community through the ‘one student-one family’ initiative. The posters have also been provided to Village Health Workers and MMWs for dissemination to people in the community
Oferta de Exportação de Carne de Frango do Brasil, de 1992 a 2007
Creators: name: Silva, Márcia Ap. De Paiva
name: Rosado, Patrícia Lopes
name: Braga, Marcelo Jose
name: Campos, Antonio Carvalho
name: Silva, Márcia Ap. De Paiva
name: Rosado, Patrícia Lopes
name: Braga, Marcelo Jose
name: Campos, Antonio Carvalho
Publisher: name: Unknown
Year: 2011
Subjects: subject: Agribusiness
subject: Exports
subject: chicken meat
subject: VAR models

description: The objective of this study is to analyze the determinants of chicken meat export supply in the period from 1992 to 2007, when the industry acquired more representativeness in the Brazilian shipments. The theoretical approach is based on the ratios between supply and demand. The econometric model is based on the Johansen’s procedure and the Error Correction Vector (VEC). Results show that the Brazilian price and the domestic income have significant impact on the Brazilian chicken meat exports, leading to a negative effect on the shipped volume. The international price presents significant and positive impacts on the amount exported.
Deep Learning on Point Clouds for False Positive Reduction at Nodule Detection in Chest CT Scans
Creators: name: Drokin, Ivan
name: Ericheva, Elena
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: I.2.10; I.5.2
subject: 68T45 (Primary) 68T05 (Secondary)

description: This paper focuses on a novel approach for false-positive reduction (FPR) of nodule candidates in Computer-aided detection (CADe) systems following the suspicious lesions detection stage. Contrary to typical decisions in medical image analysis, the proposed approach considers input data not as a 2D or 3D image, but rather as a point cloud, and uses deep learning models for point clouds. We discovered that point cloud models require less memory and are faster both in training and inference compared to traditional CNN 3D, they achieve better performance and do not impose restrictions on the size of the input image, i.e. no restrictions on the size of the nodule candidate. We propose an algorithm for transforming 3D CT scan data to point cloud. In some cases, the volume of the nodule candidate can be much smaller than the surrounding context, for example, in the case of subpleural localization of the nodule. Therefore, we developed an algorithm for sampling points from a point cloud constructed from a 3D image of the candidate region. The algorithm is able to guarantee the capture of both context and candidate information as part of the point cloud of the nodule candidate. We designed and set up an experiment in creating a dataset from an open LIDC-IDRI database for a feature of the FPR task, and is herein described in detail. Data augmentation was applied both to avoid overfitting and as an upsampling method. Experiments were conducted with PointNet, PointNet++, and DGCNN. We show that the proposed approach outperforms baseline CNN 3D models and resulted in 85.98 FROC versus 77.26 FROC for baseline models. We compare our algorithm with published SOTA and demonstrate that even without significant modifications it works at the appropriate performance level on LUNA2016 and shows SOTA on LIDC-IDRI.
Vortex Dipole in a Trapped Atomic Bose-Einstein Condensate
Creators: name: Zhou, Qi
name: Zhai, Hui
Publisher: name: arXiv
Year: 2004
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We calculate the angular momentum and energy of a vortex dipole in a trapped atomic Bose-Einstein condensate. Fully analytic expressions are obtained. We apply the results to understand a novel phenomenon in the MIT group experiment, an excellent agreement is achieved, and further experimental investigation is proposed to confirm this vortex dipole mechanism. We then suggest an effective generation and detection of vortex dipole for experimental realization. Application of the sum rule to calculate collective mode frequency splitting is also discussed.
description: 7 pages, 5 figures
Retrieval of energy spectra for all flavor of neutrinos from core-collapse supernova with multiple detectors
Creators: name: Nagakura, Hiroki
Publisher: name: arXiv
Year: 2020
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We present a new method by which to retrieve energy spectrum for all flavor of neutrinos from core-collapse supernova (CCSN). In the retrieval process, we do not assume any analytic formulae to express the energy spectrum of neutrinos but rather take a direct way of spectrum reconstruction from the observed data; the Singular Value Decomposition algorithm with a newly developed adaptive energy-gridding technique is adopted. We employ three independent reaction channels having different flavor sensitivity to neutrinos. Two reaction channels, inverse beta decay on proton and elastic scattering on electrons, from a water Cherenkov detector such as Super-Kamiokande (SK) and Hyper-Kamiokande (HK), and a charged current reaction channel with Argon from the Deep Underground Neutrino Experiment (DUNE) are adopted. Given neutrino oscillation models, we iteratively search the neutrino energy spectra at the CCSN source until they provide the consistent event counts in the three reaction channels. We test the capability of our method by demonstrating the spectrum retrieval to a theoretical neutrino data computed by our recent three-dimensional CCSN simulation. Although the energy spectrum with either electron-type or electron-type anti-neutrinos at the CCSN source has relatively large error compared to that of other species, the joint analysis with HK + DUNE or SK + DUNE will provide precise energy spectrum of all flavors of neutrinos at the source. Finally, we discuss perspectives for improvements of our method by using neutrino data of other detectors.
description: Accepted to MNRAS
Additional file 7 of High-resolution profile of transcriptomes reveals a role of alternative splicing for modulating response to nitrogen in maize
Creators: name: Yuancong Wang
name: Jinyan Xu
name: Ge, Min
name: Lihua Ning
name: Mengmei Hu
name: Zhao, Han
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 7: Table S1. The information of reads obtained by RNA-seq.
Transmissão de Preços e Cointegração no Mercado Brasileiro de Arroz
Creators: name: Adami, Andreia Cristina De Oliveira
name: Miranda, Silvia Helena Galvao De
name: Adami, Andreia Cristina De Oliveira
name: Miranda, Silvia Helena Galvao De
Publisher: name: Unknown
Year: 2011
Subjects: subject: Agribusiness
subject: transmission of prices
subject: paddy rice
subject: market dominance

description: The aim of this study is to evaluate the dynamics of pricing in the domestic market of paddy rice in order to define the process of prices formation and the adjustment intensity (periods in which the price transmission occurs) among the major producing markets (Rio Grande do Sul and Mato Grosso states). The knowledge of price ratios between markets is important for the development of trading contracts (fixed-term and future contracts) for rice and for the formulation (or reformulation) of public policies for the sector. As a methodological tool, we used the modeling of time series (Auto-Regression Models with Vector Error Correction - VEC) and Granger’s causality. The Granger’s causality test indicated that prices in the Rio Grande do Sul state are important to forecast prices in the Mato Grosso state. The model of transference estimated with an error correction term showed that for each 1% of increase in the growth rate for the RS prices, the growth rate of prices in MT will have, on average, a contemporaneous high of 0.44%, and around 0.17% in the following month.
Renormalization of the Sigma-Omega model within the framework of U(1) gauge symmetry
Creators: name: Su, Jun-Chen
name: Wanng, Hai-Jhun
Publisher: name: arXiv
Year: 2004
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: It is shown that the Sigma-Omega model which is widely used in the study of nuclear relativistic many-body problem can exactly be treated as an Abelian massive gauge field theory. The quantization of this theory can perfectly be performed by means of the general methods described in the quantum gauge field theory. Especially, the local U(1) gauge symmetry of the theory leads to a series of Ward-Takahashi identities satisfied by Green's functions and proper vertices. These identities form an uniquely correct basis for the renormalization of the theory. The renormalization is carried out in the mass-dependent momentum space subtraction scheme and by the renormalization group approach. With the aid of the renormalization boundary conditions, the solutions to the renormalization group equations are given in definite expressions without any ambiguity and renormalized S-matrix elememts are exactly formulated in forms as given in a series of tree diagrams provided that the physical parameters are replaced by the running ones. As an illustration of the renormalization procedure, the one-loop renormalization is concretely carried out and the results are given in rigorous forms which are suitable in the whole energy region. The effect of the one-loop renormalization is examined by the two-nucleon elastic scattering.
description: 32 pages, 17 figures