cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
Creators: name: Zhu, Weicheng
name: Fernandez-Granda, Carlos
name: Razavian, Narges
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Lung squamous cell carcinoma (LSCC) has a high recurrence and metastasis rate. Factors influencing recurrence and metastasis are currently unknown and there are no distinct histopathological or morphological features indicating the risks of recurrence and metastasis in LSCC. Our study focuses on the recurrence prediction of LSCC based on H&E-stained histopathological whole-slide images (WSI). Due to the small size of LSCC cohorts in terms of patients with available recurrence information, standard end-to-end learning with various convolutional neural networks for this task tends to overfit. Also, the predictions made by these models are hard to interpret. Histopathology WSIs are typically very large and are therefore processed as a set of smaller tiles. In this work, we propose a novel conditional self-supervised learning (SSL) method to learn representations of WSI at the tile level first, and leverage clustering algorithms to identify the tiles with similar histopathological representations. The resulting representations and clusters from self-supervision are used as features of a survival model for recurrence prediction at the patient level. Using two publicly available datasets from TCGA and CPTAC, we show that our LSCC recurrence prediction survival model outperforms both LSCC pathological stage-based approach and machine learning baselines such as multiple instance learning. The proposed method also enables us to explain the recurrence histopathological risk factors via the derived clusters. This can help pathologists derive new hypotheses regarding morphological features associated with LSCC recurrence.
Revisiting QCD corrections to the forward-backward charge asymmetry of heavy quarks in electron-positron collisions at the Z pole: really a problem?
Creators: name: Alcaraz Maestre, Juan
Publisher: name: Zenodo
Year: 2020

description: We review in some detail the QCD corrections to the measurement of the forward-backward charge asymmetry of heavy quarks in the \(\mathrm{e^+e^-\rightarrow Q\overline{Q}(g)}\) process at the Z pole. We show that the size of these corrections can be reduced by an order of magnitude by using simple cuts on jet acollinearity. Such a reduction is expected to lead to systematic uncertainties at the \(\Delta \mathrm{A_{FB}^{0,Q}} \approx 10^{-4}\) level, opening up the path to high precision electroweak measurements with heavy flavors at future high luminosity $\eepm$ colliders like the FCC-ee.
(3117) Anthony Traill
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
Visually Supervised Speaker Detection and Localization via Microphone Array
Creators: name: Berghi, Davide
name: Hilton, Adrian
name: Jackson, Philip J. B.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Sound (cs.SD)
subject: Image and Video Processing (eess.IV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Active speaker detection (ASD) is a multi-modal task that aims to identify who, if anyone, is speaking from a set of candidates. Current audio-visual approaches for ASD typically rely on visually pre-extracted face tracks (sequences of consecutive face crops) and the respective monaural audio. However, their recall rate is often low as only the visible faces are included in the set of candidates. Monaural audio may successfully detect the presence of speech activity but fails in localizing the speaker due to the lack of spatial cues. Our solution extends the audio front-end using a microphone array. We train an audio convolutional neural network (CNN) in combination with beamforming techniques to regress the speaker's horizontal position directly in the video frames. We propose to generate weak labels using a pre-trained active speaker detector on pre-extracted face tracks. Our pipeline embraces the "student-teacher" paradigm, where a trained "teacher" network is used to produce pseudo-labels visually. The "student" network is an audio network trained to generate the same results. At inference, the student network can independently localize the speaker in the visual frames directly from the audio input. Experimental results on newly collected data prove that our approach significantly outperforms a variety of other baselines as well as the teacher network itself. It results in an excellent speech activity detector too.
description: Erratum: Due to a bug in the evaluation script, the correct average distance (aD) metric is here reported in yellow. The analysis remains unchanged from the original paper as the trend between the old and new measures are perfectly monotonic. The bug was caused by an incorrect normalization factor
Grid Induced Minor Theorem for Graphs of Small Degree
Creators: name: Korhonen, Tuukka
Publisher: name: arXiv
Year: 2022
Subjects: subject: Combinatorics (math.CO)
subject: Discrete Mathematics (cs.DM)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Mathematics
subject: FOS: Computer and information sciences

description: A graph $H$ is an induced minor of a graph $G$ if $H$ can be obtained from $G$ by vertex deletions and edge contractions. We show that there is a function $f(k, d) = O(k^{10} + 2^{d^5})$ so that if a graph has treewidth at least $f(k, d)$ and maximum degree at most $d$, then it contains a $k \times k$-grid as an induced minor. This proves the conjecture of Aboulker, Adler, Kim, Sintiari, and Trotignon [Eur. J. Comb., 98, 2021] that any graph with large treewidth and bounded maximum degree contains a large wall or the line graph of a large wall as an induced subgraph. It also implies that for any fixed planar graph $H$, there is a subexponential time algorithm for maximum weight independent set on $H$-induced-minor-free graphs.
description: 7 pages. To appear in JCTB
OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction
Creators: name: Lyu, Fuyuan
name: Tang, Xing
name: Zhu, Hong
name: Guo, Huifeng
name: Zhang, Yingxue
name: Tang, Ruiming
name: Liu, Xue
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: FOS: Computer and information sciences

description: Learning embedding table plays a fundamental role in Click-through rate(CTR) prediction from the view of the model performance and memory usage. The embedding table is a two-dimensional tensor, with its axes indicating the number of feature values and the embedding dimension, respectively. To learn an efficient and effective embedding table, recent works either assign various embedding dimensions for feature fields and reduce the number of embeddings respectively or mask the embedding table parameters. However, all these existing works cannot get an optimal embedding table. On the one hand, various embedding dimensions still require a large amount of memory due to the vast number of features in the dataset. On the other hand, decreasing the number of embeddings usually suffers from performance degradation, which is intolerable in CTR prediction. Finally, pruning embedding parameters will lead to a sparse embedding table, which is hard to be deployed. To this end, we propose an optimal embedding table learning framework OptEmbed, which provides a practical and general method to find an optimal embedding table for various base CTR models. Specifically, we propose pruning the redundant embeddings regarding corresponding features' importance by learnable pruning thresholds. Furthermore, we consider assigning various embedding dimensions as one single candidate architecture. To efficiently search the optimal embedding dimensions, we design a uniform embedding dimension sampling scheme to equally train all candidate architectures, meaning architecture-related parameters and learnable thresholds are trained simultaneously in one supernet. We then propose an evolution search method based on the supernet to find the optimal embedding dimensions for each field. Experiments on public datasets show that OptEmbed can learn a compact embedding table which can further improve the model performance.
description: Accepted by CIKM 2022 Research Track
Antihyperon potentials in nuclei via exclusive antiproton-nucleus reactions at FAIR
Creators: name: Lorente, Alicia Sanchez
name: Bleser, Sebastian
name: Steinen, Marcell
name: Pochodzalla, Josef
Publisher: name: arXiv
Year: 2015
Subjects: subject: Nuclear Theory (nucl-th)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The exclusive production of hyperon-antihyperon pairs close to their production threshold in antiproton - nucleus collisions offers a unique and hitherto unexplored opportunity to elucidate the behaviour of antihyperons in nuclei. For the first time we analyse these reactions in a microscopic transport model using the the Gießen Boltzmann-Uehling-Uhlenbeck transport model. The calculation take the delicate interplay between the strong absorption of antihyperons, their rescattering and refraction at the nuclear surface as well as the Fermi motion of the struck nucleon into account. We find a substantial sensitivity of transverse momentum correlations of coincident $Λ\overlineΛ$-pairs to the assumed depth of the $\overlineΛ$-potential. Because of the high cross section for this process and the simplicity of the experimental method our results are highly relevant for future activities at the international Facility for Antiproton and Ion Research (FAIR).
Generalized fiducial inference for normal linear mixed models
Creators: name: Cisewski, Jessi
name: Hannig, Jan
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: While linear mixed modeling methods are foundational concepts introduced in any statistical education, adequate general methods for interval estimation involving models with more than a few variance components are lacking, especially in the unbalanced setting. Generalized fiducial inference provides a possible framework that accommodates this absence of methodology. Under the fabric of generalized fiducial inference along with sequential Monte Carlo methods, we present an approach for interval estimation for both balanced and unbalanced Gaussian linear mixed models. We compare the proposed method to classical and Bayesian results in the literature in a simulation study of two-fold nested models and two-factor crossed designs with an interaction term. The proposed method is found to be competitive or better when evaluated based on frequentist criteria of empirical coverage and average length of confidence intervals for small sample sizes. A MATLAB implementation of the proposed algorithm is available from the authors.
(3119) Charles Henry Brett
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
On symmetric representations of $\text{SL}_2(\mathbb{Z})$
Creators: name: Ng, Siu-Hung
name: Wang, Yilong
name: Wilson, Samuel
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Algebra (math.QA)
subject: Category Theory (math.CT)
subject: Group Theory (math.GR)
subject: Number Theory (math.NT)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics

description: We introduce the notions of symmetric and symmetrizable representations of $\text{SL}_2(\mathbb{Z})$. The linear representations of $\text{SL}_2(\mathbb{Z})$ arising from modular tensor categories are symmetric and have congruence kernel. Conversely, one may also reconstruct modular data from finite-dimensional symmetric, congruence representations of $\text{SL}_2(\mathbb{Z})$. By investigating a $\mathbb{Z}/2\mathbb{Z}$-symmetry of some Weil representations at prime power levels, we prove that all finite-dimensional congruence representations of $\text{SL}_2(\mathbb{Z})$ are symmetrizable. We also provide examples of unsymmetrizable noncongruence representations of $\text{SL}_2(\mathbb{Z})$ that are subrepresentations of a symmetric one.
description: 14 pages
[Pdf/ePub/Mobi] POR UN PEDAZO DE TIERRA - YAGO RODRÍGUEZ RODRÍGUEZ descargar ebook gratis
Creators: name: Newcomb
Publisher: name: Zenodo
Year: 2024

description: POR UN PEDAZO DE TIERRA de YAGO RODRÍGUEZ RODRÍGUEZ

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POR UN PEDAZO DE TIERRA

YAGO RODRÍGUEZ RODRÍGUEZ

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ISBN: 9788423436484

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Una mirada innovadora para una nueva era geopolítica¿Cuáles son las megalópolis que tienen un mayor papel de interconexión? ¿Qué papel juega la red global de cables de internet en los conflictos mundiales? ¿Qué importancia tiene el control de recursos estratégicos como el litio o las tierras raras? En un tiempo marcado por la sucesión de la crisis de la globalización, la pandemia mundial, la guerra de Ucrania y el recrudecimiento del conflicto palestino-israelí, disciplinas como las relaciones internacionales, la estrategia militar y la política exterior han vuelto a ocupar un lugar preponderante en el debate público. Sin embargo, muchos de estos análisis pecan de un exceso de precipitación y superficialidad. Yago Rodríguez, el analista militar que más popularidad ha ganado en los últimos años, se ha propuesto huir de lugares comunes y mirar la geopolítica desde una perspectiva innovadora. Esta nueva explicación sobre el funcionamiento del mundo se fija en un aspecto fundamental: las conexiones.  El autor presenta los conceptos para una nueva teoría geopolítica, como el ciclo conector, los conexores, el anillo de riqueza de la humanidad, los frictores, los núcleos y los vacíos o el cinturón dorado. Unos elementos que, aunque no abunden en los análisis más recurrentes, son cruciales para entender la política internacional actual. Todas las dudas que nos presenta el nuevo tiempo geopolítico quedan resultas en Por un puñado de tierra, un ensayo que combina el rigor técnico y académico con la amenidad. Y que dotará al lector, mientras descubre las constantes del comportamiento humano en materia geopolítica a lo largo de la historia, de unas herramientas conceptuales necesarias para entender el tiempo en el que nos ha tocado vivir.
Precise Repositioning of Robotic Ultrasound: Improving Registration-based Motion Compensation using Ultrasound Confidence Optimization
Creators: name: Jiang, Zhongliang
name: Danis, Nehil
name: Bi, Yuan
name: Zhou, Mingchuan
name: Kroenke, Markus
name: Wendler, Thomas
name: Navab, Nassir
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Robotic ultrasound (US) imaging has been seen as a promising solution to overcome the limitations of free-hand US examinations, i.e., inter-operator variability. However, the fact that robotic US systems cannot react to subject movements during scans limits their clinical acceptance. Regarding human sonographers, they often react to patient movements by repositioning the probe or even restarting the acquisition, in particular for the scans of anatomies with long structures like limb arteries. To realize this characteristic, we proposed a vision-based system to monitor the subject's movement and automatically update the scan trajectory thus seamlessly obtaining a complete 3D image of the target anatomy. The motion monitoring module is developed using the segmented object masks from RGB images. Once the subject is moved, the robot will stop and recompute a suitable trajectory by registering the surface point clouds of the object obtained before and after the movement using the iterative closest point algorithm. Afterward, to ensure optimal contact conditions after repositioning US probe, a confidence-based fine-tuning process is used to avoid potential gaps between the probe and contact surface. Finally, the whole system is validated on a human-like arm phantom with an uneven surface, while the object segmentation network is also validated on volunteers. The results demonstrate that the presented system can react to object movements and reliably provide accurate 3D images.
description: The paper has been accepted by IEEE TIM. Video: https://www.youtube.com/watch?v=MUtgSXS7EZI
Speed of Sound for Hadronic and Quark Phases in a Magnetic Field
Creators: name: Ferrer, E. J.
name: Hackebill, A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: In this paper we calculate the speed of sound for three phases that may exist inside a magnetized hybrid neutron star at different density regions: A hadronic phase at low densities, quark-matter in the magnetic dual chiral density wave (MDCDW) phase at intermediate densities and a free-quark phase modeled by the MIT bag model at higher densities. It is found that the speed of sound exhibits a non-monotonic behavior, that goes from values smaller than the conformal limit ($c_s^2 < 1/3$) in the hadronic phase, to peak ($c_s^2 > 1/3$) in the MDCDW phase, to finally reach the conformal limit ($c_s^2 \sim 1/3$) at higher densities for quarks in the MIT bag model. Also, the anisotropic speed of sound in the presence of a magnetic field is derived from first principles. This is a consequence of the anisotropy in the system's pressures produced by the breaking of the rotational symmetry in the presence of a magnetic field. The role played by the lowest Landau level contribution in affecting the speed of sound in the magnetized phases is discussed.
description: Version to appear in Nucl. Phys. A
Accuracy Test for Link Prediction in terms of Similarity Index: The Case of WS and BA Models
Creators: name: Ahn, Min-Woo
name: Jung, Woo-Sung
Publisher: name: arXiv
Year: 2015
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Social and Information Networks (cs.SI)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Link prediction is a technique that uses the topological information in a given network to infer the missing links in it. Since past research on link prediction has primarily focused on enhancing performance for given empirical systems, negligible attention has been devoted to link prediction with regard to network models. In this paper, we thus apply link prediction to two network models: The Watts-Strogatz (WS) model and Barabási-Albert (BA) model. We attempt to gain a better understanding of the relation between accuracy and each network parameter (mean degree, the number of nodes and the rewiring probability in the WS model) through network models. Six similarity indices are used, with precision and area under the ROC curve (AUC) value as the accuracy metrics. We observe a positive correlation between mean degree and accuracy, and size independence of the AUC value.
Output of feasible set and Taylor's Power Law analyses from Biological and statistical processes jointly drive population aggregation: using host–parasite interactions to understand Taylor's power law.
Creators: name: Johnson, Pieter T. J.
name: Wilber, Mark Q.
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Health Care
subject: Diseases
subject: 111706 Epidemiology
subject: FOS: Health sciences

description: Detailed presentation of code and associated output for analyses of parasite aggregation
First-principles calculations of thermal expansion path of the Co7Mo6 Mu-phase
Creators: name: Vasilyev, Dmitry
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The Mu-phase, which is an intermetallic compound, can form in steels and superalloys, and significantly degrade their mechanical properties. The thermal expansion of Co7Mo6 Mu-phase have been investigated by first-principles based quasi-harmonic Debye-Grüneisen approximation and by comparing the free energies calculated along different paths of thermal expansion. The calculations were carried out for temperatures from 0 K to 1500 K which below the decomposition temperature of Co7Mo6. The electronic, vibrational and magnetic energy contributions to the free energy were accounted. The thermal expansion of Co7Mo6 is not isotropic. The influence of physical factors on the stability of Co7Mo6 was analyzed. The isobaric heat capacity, thermal expansion, elastic constants, bulk modulus, sound wave velocities, Debye and Curie temperatures were reported. The calculated results analyzed and are in an agreement with the available experimental and theoretical data.
description: 17 pages, 10 figures, 4 tables
Volume hyperbolicity and wildness
Creators: name: Bonatti, Christian
name: Shinohara, Katsutoshi
Publisher: name: arXiv
Year: 2015
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 37C05, 37C15, 37C70, 37D45

description: It is known that volume hyperbolicity (partial hyperbolicity and uniform expansion or contraction of the volume in the extremal bundles) is a necessary condition for robust transitivity or robust chain recurrence hence for tameness. In this paper, on any 3-manifold we build examples of quasi-attractors which are volume hyperbolic and wild at the same time. As a main corollary, we see that, for any closed 3-manifold $M$, the space $\mathrm{Diff}^1(M)$ admits a non-empty open set where every $C^1$-generic diffeomorphism has no attractors or repellers. The main tool of our construction is the notion of flexible periodic points introduced by the authors. For ejecting the flexible points from the quasi-attractor, we control the topology of the quasi-attractor using the notion of partially hyperbolic filtrating Markov partition, which we introduce in this paper.
Likelihood based inference for current status data on a grid: A boundary phenomenon and an adaptive inference procedure
Creators: name: Banerjee, Moulinath
name: Tang, Runlong
name: Kosorok, Michael R.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: In this paper, we study the nonparametric maximum likelihood estimator for an event time distribution function at a point in the current status model with observation times supported on a grid of potentially unknown sparsity and with multiple subjects sharing the same observation time. This is of interest since observation time ties occur frequently with current status data. The grid resolution is specified as
Consistency of maximum likelihood estimation for some dynamical systems
Creators: name: Pillai, Natesh
name: Nobel, Andrew
name: Mukherjee, Sayan
name: McGoff, Kevin
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: We consider the asymptotic consistency of maximum likelihood parameter estimation for dynamical systems observed with noise. Under suitable conditions on the dynamical systems and the observations, we show that maximum likelihood parameter estimation is consistent. Our proof involves ideas from both information theory and dynamical systems. Furthermore, we show how some well-studied properties of dynamical systems imply the general statistical properties related to maximum likelihood estimation. Finally, we exhibit classical families of dynamical systems for which maximum likelihood estimation is consistent. Examples include shifts of finite type with Gibbs measures and Axiom A attractors with SRB measures.
NGSO Constellation Design for Global Connectivity
Creators: name: Leyva-Mayorga, Israel
name: Soret, Beatriz
name: Matthiesen, Bho
name: Röper, Maik
name: Wübben, Dirk
name: Dekorsy, Armin
name: Popovski, Petar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Non-geostationary orbit (NGSO) satellite constellations represent a cornerstone in the NewSpace paradigm and thus have become one of the hottest topics for the industry, academia, but also for national space agencies and regulators. For instance, numerous companies worldwide, including Starlink, OneWeb, Kepler, SPUTNIX, and Amazon have started or will soon start to deploy their own NGSO constellations, which aim to provide either broadband or IoT services. One of the major drivers for such a high interest on NGSO constellations is that, with an appropriate design, they are capable of providing global coverage and connectivity.
description: Book chapter submitted to IET Non-Geostationary Satellite Communications Systems
Kendall’s tau-type rank statistics in genome data
Creators: name: Kang, Moonsu
name: Sen, Pranab K.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2008

description: High-dimensional data models abound in genomics studies, where often inadequately small sample sizes create impasses for incorporation of standard statistical tools. Conventional assumptions of linearity of regression, homoscedasticity and (multi-) normality of errors may not be tenable in many such interdisciplinary setups. In this study, Kendall’s tau-type rank statistics are employed for statistical inference, avoiding most of parametric assumptions to a greater extent. The proposed procedures are compared with Kendall’s tau statistic based ones. Applications in microarray data models are stressed.
(3118) Catherine Elizabeth Moore
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.
[Descargar pdf] UNA ANTORCHA EN LAS TINIEBLAS (UNA LLAMA ENTRE CENIZAS 2)
Creators: name: Jones
Publisher: name: Zenodo
Year: 2024

description: UNA ANTORCHA EN LAS TINIEBLAS (UNA LLAMA ENTRE CENIZAS 2) de SABAA TAHIR

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UNA ANTORCHA EN LAS TINIEBLAS (UNA LLAMA ENTRE CENIZAS 2)

SABAA TAHIR

Número de páginas: 464

Idioma: CASTELLANO

Formatos: Pdf, ePub, MOBI, FB2

ISBN: 9788490435922

Editorial: MONTENA

Año de edición: 2016

 

 

 

 

 

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Overview

 

La esperada segunda parte deUna llama entre cenizas.

La mayoría de las personas no son más que destellos en la inmensa oscuridad del tiempo. Pero tú no eres una chispa que se consume en un instante.

Tú eres una antorcha en las tinieblas...Si te atreves a arder.

Tras el desenlace de la cuarta prueba, Laia y Elías se ven obligados a huir de la ciudad de Serra perseguidos por un ejército de máscaras. Ahora, su única esperanza es Darin, el hermano de Laia, cuyos conocimientos sobre el acero sérrico son la clave para el futuro de los académicos. Pero Darin se encuentra encerrado en la prisión de Kauf, la más inexpugnable y peligrosa de todo el imperio. A pesar del riesgo que supone, Laia está decidida a liberar a su hermano y Elias resuelto a seguir a su lado, aunque ello suponga renunciar a su propia libertad.

Juntos tendrán que luchar a cada paso para llegar a su destino y burlar a todos sus enemigos: el cruel Comandante, los soldados del Imperio, el sádico guardián de Kauf, y sobre todo, a Helene Aquilla, sometida a la voluntad de Marcus, el retorcido nuevo líder del Imperio. La que una vez fue amiga y compañera tendrá que hacer frente a una misión tan clara ...
[PDF EPUB] Download Funny Story by Emily Henry Full Book
Creators: name: Garrett
Publisher: name: Zenodo
Year: 2024

description: Funny Story by Emily Henry

 

 

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Funny Story

Emily Henry

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My Friend, Funny | Bedtime Stories 40 Funny And Wholesome Childhood Stories, As Told By Dec 28, 2022 — Funny Story movie review & film summary (2019) FUNNY STORY - Official Trailer - YouTube WATCH ANYTIME: https://geni.us/FunnyStory Walter Campbell (Matthew Glave) is an aging heartthrob struggling to keep up appearances—  9 Funny And Interesting Short Stories For Kids To Read Funny Story: Henry, Emily Funny Story [Henry, Emily] on Amazon.com. *FREE* shipping on qualifying offers. Funny Story. Tag Archives: funny short stories for kids Tag Archives: funny short stories for kids. funny stories for kids. The Horse And The Snail.
In vivo Ultrasonographic Evaluation of Patellar Tendon Stiffness after Anterior Cruciate Ligament Reconstruction with Patellar Tendon Autograft
Creators: name: Weinhold, Paul
name: Liu, Hsin Yi
name: Blackburn, Troy
name: Creighton, R. Alexander
name: Padua, Darin
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2011

description: Background: Tendon mechanical properties have been used to evaluate the effects of therapies on the healing of animal tendons, but these measures have not been convenient to record in vivo in humans due to their invasive nature. The aims of this study were to assess the capability of an ultrasonography technique to track the change in stiffness of the healing human patellar tendon and to assess the correlation between stiffness parameters and clinical recovery measurements.
Descargar ebook MONSTRUOS INVISIBLES | Descarga Libros Gratis (PDF - EPUB)
Creators: name: Mohamed
Publisher: name: Zenodo
Year: 2024

description: MONSTRUOS INVISIBLES de CHUCK PALAHNIUK

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MONSTRUOS INVISIBLES

CHUCK PALAHNIUK

Número de páginas: 272

Idioma: CASTELLANO

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ISBN: 9788484506874

Editorial: DEBOLSILLO

Año de edición: 2014

 

 

 

 

 

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Shannon parece tenerlo todo en la vida: belleza, fama, un novio, una gran amiga... pero cuando un «accidente» la deja completamente desfigurada e incapaz de hablar, pasa de ser un hermoso centro de atracción a convertirse en un monstruo invisible, tan horrible que nadie parece percatarse de su existencia. Nadie, salvo Brandy Alexander, un transexual a quien conoce en el hospital y que le ofrece la oportunidad de encontrar su nuevo destino, a partir de olvidar su pasado y construirse infinitos y simultáneos presentes. Así, tras secuestrar a Manus, su actual ex novio, partirán en una carrera desenfrenada que solo puede conducirlos hacia su aniquilación. Monstruos invisibles es una road movie alucinada cuyos protagonistas se lanzan en una aventura contra la imposición social de la belleza. Palahniuk, dueño de un universo muy personal, sacude y agita nuestras mentes de un modo brutal.
Tunable hole spin-photon interaction based on g-matrix modulation
Creators: name: Michal, V. P.
name: Abadillo-Uriel, J. C.
name: Zihlmann, S.
name: Maurand, R.
name: Niquet, Y. -M.
name: Filippone, M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We consider a spin circuit-QED device where a superconducting microwave resonator is capacitively coupled to a single hole confined in a semiconductor quantum dot. Thanks to the strong spin-orbit coupling intrinsic to valence-band states, the gyromagnetic g-matrix of the hole can be modulated electrically. This modulation couples the photons in the resonator to the hole spin. We show that the applied gate voltages and the magnetic-field orientation enable a versatile control of the spin-photon interaction, whose character can be switched from fully transverse to fully longitudinal. The longitudinal coupling is actually maximal when the transverse one vanishes and vice-versa. This "reciprocal sweetness" results from geometrical properties of the g-matrix and protects the spin against dephasing or relaxation. We estimate coupling rates reaching ~ 10 MHz in realistic settings and discuss potential circuit-QED applications harnessing either the transverse or the longitudinal spin-photon interaction. Furthermore, we demonstrate that the g-matrix curvature can be used to achieve parametric longitudinal coupling with enhanced coherence.
Rational Uniform Consensus with General Omission Failures
Creators: name: Zhang, Yansong
name: Shen, Bo
name: Zhao, Yingsi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Science and Game Theory (cs.GT)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: FOS: Computer and information sciences

description: Generally, system failures, such as crash failures, Byzantine failures and so on, are considered as common reasons for the inconsistencies of distributed consensus and have been extensively studied. In fact, strategic manipulations by rational agents do not be ignored for reaching consensus in distributed system. In this paper, we extend the game-theoretic analysis of consensus and design an algorithm of rational uniform consensus with general omission failures under the assumption that processes are controlled by rational agents and prefer consensus. Different from crashing one, agent with omission failures may crash, or omit to send or receive messages when it should, which leads to difficulty of detecting faulty agents. By combining the possible failures of agents at the both ends of a link, we convert omission failure model into link state model to make faulty detection possible. Through analyzing message passing mechanism in the distributed system with n agents, among which t agents may commit omission failures, we provide the upper bound on message passing time for reaching consensus on a state among nonfaulty agents, and message chain mechanism for validating messages. And then we prove our rational uniform consensus is a Nash equilibrium when n>2t+1, and failure patterns and initial preferences are blind (an assumption of randomness). Thus agents could have no motivation to deviate the consensus. Our research strengthens the reliability of consensus with omission failures from the perspective of game theory.
description: Accepted by the journal "Computational Intelligence and Neuroscience"
Output of feasible set and Taylor's Power Law analyses from The biological basis of Taylor's power law revisited: using host–parasite interactions to reveal the drivers of aggregation
Creators: name: Johnson, Pieter T. J.
name: Wilber, Mark Q.
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Health Care
subject: Diseases
subject: 111706 Epidemiology
subject: FOS: Health sciences

description: Detailed presentation of code and associated output for analyses of parasite aggregation
Higgs boson production in association with a jet at next-to-next-to-leading order
Creators: name: Boughezal, Radja
name: Caola, Fabrizio
name: Melnikov, Kirill
name: Petriello, Frank
name: Schulze, Markus
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We present precise predictions for Higgs boson production in association with a jet. Our calculation is accurate to next-to-next-to-leading order (NNLO) QCD in the Higgs Effective Field Theory and constitutes the first complete NNLO computation for Higgs production with a final-state jet in hadronic collisions. We include all relevant phenomenological channels and present fully-differential results as well as total cross sections for the LHC. Our NNLO predictions reduce the unphysical scale dependence by more than a factor of two and enhance the total rate by about twenty percent compared to NLO QCD predictions. Our results demonstrate for the first time satisfactory convergence of the perturbative series.
description: 5 pages, 4 figures
Large-eddy simulations of wind-driven cross ventilation, Part1: validation and sensitivity study
Creators: name: Hwang, Yunjae
name: Gorlé, Catherine
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Natural ventilation is gaining popularity in response to an increasing demand for a sustainable and healthy built environment, but the design of a naturally ventilated building can be challenging due to the inherent variability in the operating conditions that determine the natural ventilation flow. Large-eddy simulations (LES) have significant potential as an analysis method for natural ventilation flow, since they can provide an accurate prediction of turbulent flow at any location in the computational domain. However, the simulations can be computationally expensive, and few validation and sensitivity studies have been reported. The objectives of this study are to validate LES of wind-driven cross-ventilation and to quantify the sensitivity of the solution to the grid resolution and the inflow boundary conditions. We perform LES for an isolated building with two openings, using three different grid resolutions and two different inflow conditions with varying turbulence intensities. Predictions of the ventilation rate are compared to a reference wind-tunnel experiment available from literature, and we also quantify the age of air and ventilation efficiency. The results show that a sufficiently fine grid resolution is needed to provide accurate predictions of the detailed flow pattern and the age of air, while the inflow condition is found to affect the standard deviation of the instantaneous ventilation rate. However, for the cross-ventilation case modeled in this paper, the prediction of the mean ventilation flow rate is very robust, showing negligible sensitivity to the grid resolution or the inflow characteristics.
Autonomous crater detection on asteroids using a fully-convolutional neural network
Creators: name: Latorre, Francesco
name: Spiller, Dario
name: Curti, Fabio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper shows the application of autonomous Crater Detection using the U-Net, a Fully-Convolutional Neural Network, on Ceres. The U-Net is trained on optical images of the Moon Global Morphology Mosaic based on data collected by the LRO and manual crater catalogues. The Moon-trained network will be tested on Dawn optical images of Ceres: this task is accomplished by means of a Transfer Learning (TL) approach. The trained model has been fine-tuned using 100, 500 and 1000 additional images of Ceres. The test performance was measured on 350 never before seen images, reaching a testing accuracy of 96.24%, 96.95% and 97.19%, respectively. This means that despite the intrinsic differences between the Moon and Ceres, TL works with encouraging results. The output of the U-Net contains predicted craters: it will be post-processed applying global thresholding for image binarization and a template matching algorithm to extract craters positions and radii in the pixel space. Post-processed craters will be counted and compared to the ground truth data in order to compute image segmentation metrics: precision, recall and F1 score. These indices will be computed, and their effect will be discussed for tasks such as automated crater cataloguing and optical navigation.
Supplementary methods, results, and analyses from Biological and statistical processes jointly drive population aggregation: using host–parasite interactions to understand Taylor's power law.
Creators: name: Johnson, Pieter T. J.
name: Wilber, Mark Q.
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Health Care
subject: Diseases
subject: 111706 Epidemiology
subject: FOS: Health sciences

description: Additional details on field sampling, experimental infections, and statistical analyses.
The role of field redefinition on renormalisability of a general $N=\frac{1}{2}$ supersymmetric gauge theories
Creators: name: Kord, A. F.
name: Moghaddam, M. Haddadi
name: Ghasempour, N.
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We investigate some issues on renormalisability of non-anticommutative supersymmetric gauge theory related to field redefinitions. We study one loop corrections to $N=\frac{1}{2}$ supersymmetric $SU(N)\times U(1)$ gauge theory coupled to chiral matter in component formalism, and show the procedure which has been introduced for renormalisation is problematic because some terms which are needed for the renormalisability of theory are missed from the Lagrangian. In order to prove the theory is renormalisable, we redefine the gaugino and the auxiliary fields($λ, \bar F$), which result in a modified form of the Lagrangian in the component formalism. Then, we show the modified Lagrangian has extra terms which are necessary for renormalisability of non-anticommutative supersymmetric gauge field theories. Finally we prove $N = \frac{1}{2}$ supersymmetric gauge theory is renormalisable up to one loop corrections using standard method of renormalisation; besides, it is shown the effective action is gauge invariant.
description: arXiv admin note: text overlap with arXiv:hep-th/0505248 by other authors
Evaluation of finite difference based asynchronous partial differential equations solver for reacting flows
Creators: name: Kumari, Komal
name: Cleary, Emmet
name: Desai, Swapnil
name: Donzis, Diego A.
name: Chen, Jacqueline H.
name: Aditya, Konduri
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Next-generation exascale machines with extreme levels of parallelism will provide massive computing resources for large scale numerical simulations of complex physical systems at unprecedented parameter ranges. However, novel numerical methods, scalable algorithms and re-design of current state-of-the art numerical solvers are required for scaling to these machines with minimal overheads. One such approach for partial differential equations based solvers involves computation of spatial derivatives with possibly delayed or asynchronous data using high-order asynchrony-tolerant (AT) schemes to facilitate mitigation of communication and synchronization bottlenecks without affecting the numerical accuracy. In the present study, an effective methodology of implementing temporal discretization using a multi-stage Runge-Kutta method with AT schemes is presented. Together these schemes are used to perform asynchronous simulations of canonical reacting flow problems, demonstrated in one-dimension including auto-ignition of a premixture, premixed flame propagation and non-premixed autoignition. Simulation results show that the AT schemes incur very small numerical errors in all key quantities of interest including stiff intermediate species despite delayed data at processing element (PE) boundaries. For simulations of supersonic flows, the degraded numerical accuracy of well-known shock-resolving WENO (weighted essentially non-oscillatory) schemes when used with relaxed synchronization is also discussed. To overcome this loss of accuracy, high-order AT-WENO schemes are derived and tested on linear and non-linear equations. Finally the novel AT-WENO schemes are demonstrated in the propagation of a detonation wave with delays at PE boundaries.
(3111) William Nadin
Creators: name: Professions, Victorian
Publisher: name: University of Oxford
Year: 2022
Subjects: subject: 220201 Business and Labour History
subject: FOS: Philosophy, ethics and religion
subject: History
subject: 140203 Economic History
subject: FOS: Economics and business

description: This three-year research project began in January 2014 and investigated whether, during the Victorian period, the professions formed a distinct self-sustaining social group with its own mores and values. The project looked at 16,000 individuals drawn from census data for Alnwick, Brighton, Bristol, Dundee, Greenock, Leeds, Merthyr Tydfil, Morpeth, and Winchester. The research project was funded by the UK Economic & Social Research Council and was based at the Universities of Oxford and Northumbria.