cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Special polynomials related to the supersymmetric eight-vertex model: A summary
Creators: name: Rosengren, Hjalmar
Publisher: name: arXiv
Year: 2015
Subjects: subject: Mathematical Physics (math-ph)
subject: Classical Analysis and ODEs (math.CA)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We introduce and study symmetric polynomials, which as very special cases include polynomials related to the supersymmetric eight-vertex model, and other elliptic lattice models with $Δ=\pm 1/2$. There is also a close relation to affine Lie algebra characters. After a natural change of variables, our polynomials satisfy a non-stationary Schrödinger equation with elliptic potential, which is related to the Knizhnik-Zamolodchikov-Bernard equation and to the canonical quantization of Painlevé VI. Moreover, specializations of our polynomials can be identified with tau functions of Painlevé VI, obtained from one of Picard's algebraic solutions by acting with a four-dimensional lattice of Bäcklund transformations. In the present work, our results on these topics are summarized with a minimum of technical details.
description: 29 pages. This is a summary of our preprints arXiv:1305.0666, arXiv:1312.5879 and arXiv:1405.5318
Race/Ethnic Differentials in the Health Consequences of Caring for Grandchildren for Grandparents
Creators: name: Chen, Feinian
name: Bao, Luoman
name: Mair, Christine A.
name: Yang, Yang Claire
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2015

description: The phenomenon of grandparents caring for grandchildren is disproportionately observed among different racial/ethnic groups in the United States. This study examines the influence of childcare provision on older adults’ health trajectories in the United States with a particular focus on racial/ethnic differentials.
Supplementary Table 6 from Taxonomy assignment approach determines the efficiency of identification of OTUs in marine nematodes
Creators: name: Holovachov, Oleksandr
name: Haenel, Quiterie
name: Bourlat, Sarah J.
name: Jondelius, Ulf
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: 60301 Animal Systematics and Taxonomy
subject: 60310 Plant Systematics and Taxonomy

description: Results of tree-based taxonomy assignment using complete and partitioned query dataset.
Community viral load as a measure for assessment of HIV treatment as prevention
Creators: name: Smith, M. Kumi
name: Miller, William C.
name: Cohen, Myron S.
name: Powers, Kimberly A.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: Community viral load (CVL), an aggregation of individual viral loads of HIV-infected persons within a defined community, has been proposed as a useful metric for monitoring HIV treatment uptake and quantifying its impact on transmission. The first publications regarding CVL appeared in 2009 and the metric was subsequently incorporated into the United States National HIV/AIDS Strategy. Although CVL is intuitively appealing, it has several theoretical limitations and biases that require further evaluation. These limitations and biases can be categorized in four areas related to: 1) selection and measurement issues in calculating CVL among HIV-infected persons, 2) the importance of HIV prevalence in determining the potential for ongoing HIV transmission, 3) interpretation of CVL and its impact on ongoing HIV transmission in a community, and 4) the ecological fallacy (ecological bias). These potential issues deserve careful assessment as CVL is being considered as a public health metric to assess the impact of HIV care on prevention.
(3154) Norman Hastings Medhurst
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.
Objective hearing threshold estimation in children with auditory neuropathy spectrum disorder: Electrophysiology and ANSD
Creators: name: Grose, John H.
name: Buchman, Craig A.
name: Teagle, Holly F.B.
name: Roush, Patricia
name: He, Shuman
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2013

description: , 123:2859–2861, 2013
Thermodynamics of asymptotically safe theories
Creators: name: Rischke, Dirk H.
name: Sannino, Francesco
Publisher: name: arXiv
Year: 2015
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We investigate the thermodynamic properties of a novel class of gauge-Yukawa theories that have recently been shown to be completely asymptotically safe, because their short-distance behaviour is determined by the presence of an interacting fixed point. Not only do all the coupling constants freeze at a constant and calculable value in the ultraviolet, their values can even be made arbitrarily small for an appropriate choice of the ratio $N_c/N_f$ of fermion colours and flavours in the Veneziano limit. Thus, a perturbative treatment can be justified. We compute the pressure, entropy density, and thermal degrees of freedom of these theories to next-to-next-to-leading order in the coupling constants.
description: ReVTeX, 16 pages, 7 figures
LA SOMBRA DEL CIPRES ES ALARGADA MIGUEL DELIBES ePub gratis
Creators: name: Malone
Publisher: name: Zenodo
Year: 2024

description: LA SOMBRA DEL CIPRES ES ALARGADA de MIGUEL DELIBES

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Ficha técnica

LA SOMBRA DEL CIPRES ES ALARGADA

MIGUEL DELIBES

Número de páginas: 352

Idioma: CASTELLANO

Formatos: Pdf, ePub, MOBI, FB2

ISBN: 9788423342365

Editorial: DESTINO

Año de edición: 2010

 

 

 

 

 

Descargar amazon ebook a pc LA SOMBRA DEL CIPRES ES ALARGADA

 

Overview

Novela clave de un gran autor en torno al amor y la esperanza. El protagonista de esta novela, es, como en tantas de sus obras, un niño. Pedro, huérfano desde la infancia, va a parar para su educación a Ávila, al hogar sombrío de don Mateo Lesmes, quien le inculcará la creencia de que para ser feliz hay que evitar toda relación con el mundo, toda emocion o afecto.
ILLEGAL: IMPACT IN CLASSROOMS
Creators: name: Donkin, Andrew
Publisher: name: University of the Arts London
Year: 2020
Subjects: subject: 199999 Studies in the Creative Arts and Writing not elsewhere classified
subject: FOS: Arts (arts, history of arts, performing arts, music)

description: A short paper describing the uses and impacts of our graphic novel, ILLEGAL, in classrooms around the world.
Please note: you will need to download this presentation to hear the narration
Supplementary Table 5 from Taxonomy assignment approach determines the efficiency of identification of OTUs in marine nematodes.
Creators: name: Holovachov, Oleksandr
name: Haenel, Quiterie
name: Bourlat, Sarah J.
name: Jondelius, Ulf
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: 60301 Animal Systematics and Taxonomy
subject: 60310 Plant Systematics and Taxonomy

description: Results of alignment-based taxonomy assignment using LCAClassifier of CREST against built-in reference database.
Geodesic bi-angles and Fourier coefficients of restrictions of eigenfunctions
Creators: name: Wyman, Emmett
name: Xi, Yakun
name: Zelditch, Steve
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: This article concerns joint asymptotics of Fourier coefficients of restrictions of Laplace eigenfunctions $ϕ_j$ of a compact Riemannian manifold to a submanifold $H \subset M$. We fix a number $c \in (0,1)$ and study the asymptotics of the thin sums, $$ N^{c} _{ε, H }(λ): = \sum_{j, λ_j \leq λ} \sum_{k: |μ_k - c λ_j | < ε} \left| \int_{H} ϕ_j \overline{ψ_k}dV_H \right|^2 $$ where $\{λ_j\}$ are the eigenvalues of $\sqrt{-Δ}_M,$ and $\{(μ_k, ψ_k)\}$ are the eigenvalues, resp. eigenfunctions, of $\sqrt{-Δ}_H$. The inner sums represent the `jumps' of $ N^{c} _{ε, H }(λ)$ and reflect the geometry of geodesic c-bi-angles with one leg on $H$ and a second leg on $M$ with the same endpoints and compatible initial tangent vectors $ξ\in S^c_H M, π_H ξ\in B^* H$, where $π_H ξ$ is the orthogonal projection of $ξ$ to $H$. A c-bi-angle occurs when $\frac{|π_H ξ|}{|ξ|} = c$. Smoothed sums in $μ_k$ are also studied, and give sharp estimates on the jumps. The jumps themselves may jump as $ε$ varies, at certain values of $ε$ related to periodicities in the c-bi-angle geometry. Subspheres of spheres and certain subtori of tori illustrate these jumps. The results refine those of the previous article (arXiv:2011.11571) where the inner sums run over $k: | \frac{μ_k}{λ_j} - c| \leq ε$ and where geodesic bi-angles do not play a role.
description: 51 pages. Referee's comments incorporated. To appear in Pure and Applied Analysis
Distinguishability times and asymmetry monotone-based quantum speed limits in the Bloch ball
Creators: name: Volkoff, T. J.
name: Whaley, K. B.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: For both unitary and open qubit dynamics, we compare asymmetry monotone-based bounds on the minimal time required for an initial qubit state to evolve to a final qubit state from which it is probabilistically distinguishable with fixed minimal error probability (i.e., the minimal error distinguishability time). For the case of unitary dynamics generated by a time-independent Hamiltonian, we derive a necessary and sufficient condition on two asymmetry monotones that guarantees that an arbitrary state of a two-level quantum system or a separable state of $N$ two-level quantum systems will unitarily evolve to another state from which it can be distinguished with a fixed minimal error probability $δ\in [0,1/2]$. This condition is used to order the set of qubit states based on their distinguishability time, and to derive an optimal release time for driven two-level systems such as those that occur, e.g., in the Landau-Zener problem. For the case of non-unitary dynamics, we compare three lower bounds to the distinguishability time, including a new type of lower bound which is formulated in terms of the asymmetry of the uniformly time-twirled initial system-plus-environment state with respect to the generator $H_{SE}$ of the Stinespring isometry corresponding to the dynamics, specifically, in terms of $\Vert [H_{SE},ρ_{\text{av}}(τ)]\Vert_{1}$, where $ρ_{\text{av}}(τ):={1\over τ}\int_{0}^τdt\, e^{-iH_{SE}t}ρ\otimes \vert 0\rangle_{E}\langle 0\vert_{E} e^{iH_{SE}t}$.
description: 13 pages, 4 figures
Classical and quantum reconciliation of electromagnetic radiation: vector Unruh modes and zero-Rindler-energy photons
Creators: name: Portales-Oliva, Felipe
name: Landulfo, André G. S.
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: A great deal of evidence has been mounting over the years showing a deep connection between acceleration, radiation, and the Unruh effect. Indeed, the fact that the Unruh effect can be codified in the Larmor radiation emitted by the charge was used to propose an experiment to experimentally confirm the existence of the Unruh thermal bath. However, such connection has two puzzling issues: (1) how the quantum Unruh effect can be codified in the classical Larmor radiation and (2) the fundamental role played by zero-Rindler-energy modes of the Unruh thermal bath in such a context. Here we generalize a recent analysis made for the scalar case to the more realistic case of Maxwell electrodynamics and settle these two puzzling issues.
description: 13 pages, 2 figures. Some corrections added
Descargar PARIS ERA UNA FIESTA ERNEST HEMINGWAY Gratis - EPUB, PDF y MOBI
Creators: name: Williams
Publisher: name: Zenodo
Year: 2024

description: PARIS ERA UNA FIESTA de ERNEST HEMINGWAY

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Ficha técnica

PARIS ERA UNA FIESTA

ERNEST HEMINGWAY

Número de páginas: 280

Idioma: CASTELLANO

Formatos: Pdf, ePub, MOBI, FB2

ISBN: 9788490327234

Editorial: DEBOLSILLO

Año de edición: 2014

 

 

 

 

 

Descarga gratuita de libros electrónicos de mitología griega. PARIS ERA UNA FIESTA 9788490327234

 

Overview

La mítica última novela de Hemingway.
Supplementary Table 5 from Taxonomy assignment approach determines the efficiency of identification of OTUs in marine nematodes
Creators: name: Holovachov, Oleksandr
name: Haenel, Quiterie
name: Bourlat, Sarah J.
name: Jondelius, Ulf
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: 60301 Animal Systematics and Taxonomy
subject: 60310 Plant Systematics and Taxonomy

description: Results of alignment-based taxonomy assignment using LCAClassifier of CREST against built-in reference database.
A Multicenter, Randomized Trial of Treatment for Mild Gestational Diabetes
Creators: name: Sciscione, Anthony
name: Peaceman, Alan M.
name: Casey, Brian
name: Thorp Jr., John M.
name: Sorokin, Yoram
name: Landon, Mark B.
name: Wapner, Ronald J.
name: Anderson, Garland B.
name: Lain, Kristine Y.
name: Saade, George
name: Harper, Margaret
name: Catalano, Patrick
name: Varner, Michael W.
name: Carpenter, Marshall W.
name: Rouse, Dwight J.
name: Thom, Elizabeth
name: Ramin, Susan M.
name: Tolosa, Jorge E.
name: Spong, Catherine Y.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2009

description: It is uncertain whether treatment of mild gestational diabetes mellitus improves pregnancy outcomes.
Fuzzy Expert Systems for Prediction of ICU Admission in Patients with COVID-19
Creators: name: Asl, Ali Akbar Sadat
name: Ershadi, Mohammad Mahdi
name: Sotudian, Shahabeddin
name: Li, Xingyu
name: Dick, Scott
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: The pandemic COVID-19 disease has had a dramatic impact on almost all countries around the world so that many hospitals have been overwhelmed with Covid-19 cases. As medical resources are limited, deciding on the proper allocation of these resources is a very crucial issue. Besides, uncertainty is a major factor that can affect decisions, especially in medical fields. To cope with this issue, we use fuzzy logic (FL) as one of the most suitable methods in modeling systems with high uncertainty and complexity. We intend to make use of the advantages of FL in decisions on cases that need to treat in ICU. In this study, an interval type-2 fuzzy expert system is proposed for prediction of ICU admission in COVID-19 patients. For this prediction task, we also developed an adaptive neuro-fuzzy inference system (ANFIS). Finally, the results of these fuzzy systems are compared to some well-known classification methods such as Naive Bayes (NB), Case-Based Reasoning (CBR), Decision Tree (DT), and K Nearest Neighbor (KNN). The results show that the type-2 fuzzy expert system and ANFIS models perform competitively in terms of accuracy and F-measure compared to the other system modeling techniques.
Timing of Elective Repeat Cesarean Delivery at Term and Neonatal Outcomes
Creators: name: Mercer, Brian M.
name: Tita, Alan T.N.
name: Miodovnik, Menachem
name: Varner, Michael W.
name: Meis, Paul J.
name: Thorp, John M.
name: O'Sullivan, Mary J.
name: Landon, Mark B.
name: Spong, Catherine Y.
name: Peaceman, Alan M.
name: Caritis, Steve N.
name: Moawad, Atef H.
name: Carpenter, Marshall
name: Leveno, Kenneth J.
name: Lai, Yinglei
name: Wapner, Ronald J.
name: Langer, Oded
name: Sibai, Baha M.
name: Ramin, Susan M.
name: Sorokin, Yoram
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2009

description: Because of increased rates of respiratory complications, elective cesarean delivery is discouraged before 39 weeks of gestation unless there is evidence of fetal lung maturity. We assessed associations between elective cesarean delivery at term (37 weeks of gestation or longer) but before 39 weeks of gestation and neonatal outcomes.
(3156) Ellen Smith
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.
Ext-Multiplicity Theorem for Standard Representations of $(\mathrm{GL}_{n+1},\mathrm{GL}_n)$
Creators: name: Chan, Kei Yuen
Publisher: name: arXiv
Year: 2021
Subjects: subject: Representation Theory (math.RT)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 22E50, 11F70

description: Let $π_1$ be a standard representation of $\mathrm{GL}_{n+1}(F)$ and let $π_2$ be the smooth dual of a standard representation of $\mathrm{GL}_n(F)$. When $F$ is non-Archimedean, we prove that $\mathrm{Ext}^i_{\mathrm{GL}_n(F)}(π_1, π_2)$ is $\cong \mathbb C$ when $i=0$ and vanishes when $i \geq 1$. The main tool of the proof is a notion of left and right Bernstein-Zelevinsky filtrations. An immediate consequence of the result is to give a new proof on the multiplicity at most one theorem. Along the way, we also study an application of an Euler-Poincaré pairing formula of D. Prasad on the coefficients of Kazhdan-Lusztig polynomials. When $F$ is an Archimedean field, we use the left-right Bruhat-filtration to prove a multiplicity result for the equal rank Fourier-Jacobi models of standard principal series.
description: 23 pages, v2: 25 pages, minor changes, v3: close to published version
Transformers for Multi-Object Tracking on Point Clouds
Creators: name: Ruppel, Felicia
name: Faion, Florian
name: Gläser, Claudius
name: Dietmayer, Klaus
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We present TransMOT, a novel transformer-based end-to-end trainable online tracker and detector for point cloud data. The model utilizes a cross- and a self-attention mechanism and is applicable to lidar data in an automotive context, as well as other data types, such as radar. Both track management and the detection of new tracks are performed by the same transformer decoder module and the tracker state is encoded in feature space. With this approach, we make use of the rich latent space of the detector for tracking rather than relying on low-dimensional bounding boxes. Still, we are able to retain some of the desirable properties of traditional Kalman-filter based approaches, such as an ability to handle sensor input at arbitrary timesteps or to compensate frame skips. This is possible due to a novel module that transforms the track information from one frame to the next on feature-level and thereby fulfills a similar task as the prediction step of a Kalman filter. Results are presented on the challenging real-world dataset nuScenes, where the proposed model outperforms its Kalman filter-based tracking baseline.
description: Accepted for publication at the 2022 33rd IEEE Intelligent Vehicles Symposium (IV 2022), June 5-9, 2022, in Aachen, Germany
Doubly Robust Policy Evaluation and Optimization
Creators: name: Dudík, Miroslav
name: Erhan, Dumitru
name: Langford, John
name: Li, Lihong
Publisher: name: arXiv
Year: 2015
Subjects: subject: Methodology (stat.ME)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: We study sequential decision making in environments where rewards are only partially observed, but can be modeled as a function of observed contexts and the chosen action by the decision maker. This setting, known as contextual bandits, encompasses a wide variety of applications such as health care, content recommendation and Internet advertising. A central task is evaluation of a new policy given historic data consisting of contexts, actions and received rewards. The key challenge is that the past data typically does not faithfully represent proportions of actions taken by a new policy. Previous approaches rely either on models of rewards or models of the past policy. The former are plagued by a large bias whereas the latter have a large variance. In this work, we leverage the strengths and overcome the weaknesses of the two approaches by applying the doubly robust estimation technique to the problems of policy evaluation and optimization. We prove that this approach yields accurate value estimates when we have either a good (but not necessarily consistent) model of rewards or a good (but not necessarily consistent) model of past policy. Extensive empirical comparison demonstrates that the doubly robust estimation uniformly improves over existing techniques, achieving both lower variance in value estimation and better policies. As such, we expect the doubly robust approach to become common practice in policy evaluation and optimization.
description: Published in at http://dx.doi.org/10.1214/14-STS500 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org)
DOWNLOADS La femme en moi
Creators: name: May
Publisher: name: Zenodo
Year: 2024

description: La femme en moi pan Britney Spears, Cyrille Rivallan, Marion Roman

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Caractéristiques

La femme en moi

Britney Spears, Cyrille Rivallan, Marion Roman

Nb. de pages: 283

Format: Pdf, ePub, MOBI, FB2

ISBN: 9782709671217

Editeur: JC Lattès

Date de parution: 2023

 

 

 

Rechercher et télécharger des ebooks gratuitement La femme en moi 9782709671217

 

Overview

En juin 2021, le monde entier a pu entendre Britney Spears s'exprimer sur sa mise sous tutelle lors de son audience publique. Son intervention a fait bouger les lignes. En faisant entendre sa voix - et sa vérité -, elle a non seulement changé sa vie mais aussi celle de nombreuses personnes. La femme en moi dévoile pour la première fois l'incroyable odyssée et la force inouïe d'une des plus grandes stars de la pop de tous les temps. Avec humour et sans fard, Britney Spears met en lumière dans ses mémoires le pouvoir indéfectible de la musique et de l'amour, ainsi que l'importance, pour une femme, de se réapproprier son histoire, et de la raconter avec ses propres mots, enfin.
The Modern Mathematics of Deep Learning
Creators: name: Berner, Julius
name: Grohs, Philipp
name: Kutyniok, Gitta
name: Petersen, Philipp
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: We describe the new field of mathematical analysis of deep learning. This field emerged around a list of research questions that were not answered within the classical framework of learning theory. These questions concern: the outstanding generalization power of overparametrized neural networks, the role of depth in deep architectures, the apparent absence of the curse of dimensionality, the surprisingly successful optimization performance despite the non-convexity of the problem, understanding what features are learned, why deep architectures perform exceptionally well in physical problems, and which fine aspects of an architecture affect the behavior of a learning task in which way. We present an overview of modern approaches that yield partial answers to these questions. For selected approaches, we describe the main ideas in more detail.
description: A version of this review paper appears as a chapter in the book "Mathematical Aspects of Deep Learning" by Cambridge University Press
Distributionally Robust Graph Learning from Smooth Signals under Moment Uncertainty
Creators: name: Wang, Xiaolu
name: Pun, Yuen-Man
name: So, Anthony Man-Cho
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Mathematics

description: We consider the problem of learning a graph from a finite set of noisy graph signal observations, the goal of which is to find a smooth representation of the graph signal. Such a problem is motivated by the desire to infer relational structure in large datasets and has been extensively studied in recent years. Most existing approaches focus on learning a graph on which the observed signals are smooth. However, the learned graph is prone to overfitting, as it does not take the unobserved signals into account. To address this issue, we propose a novel graph learning model based on the distributionally robust optimization methodology, which aims to identify a graph that not only provides a smooth representation of but is also robust against uncertainties in the observed signals. On the statistics side, we establish out-of-sample performance guarantees for our proposed model. On the optimization side, we show that under a mild assumption on the graph signal distribution, our proposed model admits a smooth non-convex optimization formulation. We then develop a projected gradient method to tackle this formulation and establish its convergence guarantees. Our formulation provides a new perspective on regularization in the graph learning setting. Moreover, extensive numerical experiments on both synthetic and real-world data show that our model has comparable yet more robust performance across different populations of observed signals than existing non-robust models according to various metrics.
Limited-Stage Small Cell Lung Cancer: Current Chemoradiotherapy Treatment Paradigms
Creators: name: Stinchcombe, Thomas E.
name: Gore, Elizabeth M.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2010

description: In the U.S., the prevalence of small cell lung cancer (SCLC) is declining, probably reflecting the decreasing prevalence of tobacco use. However, a significant number of patients will receive a diagnosis of SCLC, and approximately 40% of patients with SCLC will have limited-stage (LS) disease, which is potentially curable with the combination of chemotherapy and radiation therapy. The standard therapy for LS-SCLC is concurrent chemoradiotherapy, and the 5-year survival rate observed in clinical trials is approximately 25%. The standard chemotherapy remains cisplatin and etoposide, but carboplatin is frequently used in patients who cannot tolerate or have a contraindication to cisplatin. Substantial improvements in survival have been made through improvements in radiation therapy. Concurrent chemoradiotherapy is the preferred therapy for patients who are appropriate candidates. The optimal timing of concurrent chemoradiotherapy is during the first or second cycle, based on data from meta-analyses. The optimal radiation schedule and dose remain topics of debate, but 1.5 Gy twice daily to a total of 45 Gy and 1.8–2.0 Gy daily to a total dose of 60–70 Gy are commonly used treatments. For patients who obtain a near complete or complete response, prophylactic cranial radiation reduces the incidence of brain metastases and improves overall survival. The ongoing Radiation Therapy Oncology Group and Cancer and Leukemia Group B and the European and Canadian phase III trials will investigate different radiation treatment paradigms for patients with LS-SCLC, and completion of these trials is critical.
Fast generation of simple directed social network graphs with reciprocal edges and high clustering
Creators: name: Schweimer, Christoph
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Online social networks have emerged as useful tools to communicate or share information and news on a daily basis. One of the most popular networks is Twitter, where users connect to each other via directed follower relationships. Researchers have studied Twitter follower graphs and described them with various topological features. Collecting Twitter data, especially crawling the followers of users, is a tedious and time-consuming process and the data needs to be treated carefully due to its sensitive nature, containing personal user information. We therefore aim at the fast generation of synthetic directed social network graphs with reciprocal edges and high clustering. Our proposed method is based on a previously developed model, but relies on less hyperparameters and has a significantly lower runtime. Results show that the method does not only replicate the crawled directed Twitter graphs well w.r.t. several topological features and the application of an epidemics spreading process, but that it is also highly scalable which allows the fast creation of bigger graphs that exhibit similar properties as real-world networks.
description: 6 pages, 1 figure
Modeling the 5-Fluorouracil Area Under the Curve Versus Dose Relationship to Develop a Pharmacokinetic Dosing Algorithm for Colorectal Cancer Patients Receiving FOLFOX6
Creators: name: Kaldate, Rajesh R.
name: Hamilton, Stephanie A.
name: Grier, Charles E.
name: Haregewoin, Abebe
name: McLeod, Howard L.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: 5-Fluorouracil (5-FU) is administered based on standard body surface area (BSA) dosing. BSA administration results in highly variable exposure, measured as the area under the concentration-time curve (AUC). An immunoassay (OnDose®; Myriad Genetic Laboratories, Inc., Salt Lake City, UT) that measures plasma 5-FU concentration and reports an AUC in mg · h/L has been developed to optimize therapy using pharmacokinetic (PK) dosing. The results of an analysis to model the 5-FU AUC-dose relationship are presented.
Advances in Quantum Teleportation
Creators: name: Pirandola, Stefano
name: Eisert, Jens
name: Weedbrook, Christian
name: Furusawa, Akira
name: Braunstein, Samuel L.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: Atomic Physics (physics.atom-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Quantum teleportation is one of the most important protocols in quantum information. By exploiting the physical resource of entanglement, quantum teleportation serves as a key primitive in a variety of quantum information tasks and represents an important building block for quantum technologies, with a pivotal role in the continuing progress of quantum communication, quantum computing and quantum networks. Here we review the basic theoretical ideas behind quantum teleportation and its variant protocols. We focus on the main experiments, together with the technical advantages and disadvantages associated with the use of the various technologies, from photonic qubits and optical modes to atomic ensembles, trapped atoms, and solid-state systems. Analysing the current state-of-the-art, we finish by discussing open issues, challenges and potential future implementations.
description: Nature Photonics Review. Comments are welcome. This is a slightly-expanded arXiv version (14 pages, 5 figure, 1 table)
Online Read Ebook Power  - Les 48 lois du pouvoir
Creators: name: Gannon
Publisher: name: Zenodo
Year: 2024

description: Power - Les 48 lois du pouvoir pan Robert Greene

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Caractéristiques

Power - Les 48 lois du pouvoir

Robert Greene

Nb. de pages: 465

Format: Pdf, ePub, MOBI, FB2

ISBN: 9791092928075

Editeur: A Contre Courant

Date de parution: 2014

 

 

 

Téléchargements ebook gratuits pour androïdes Power - Les 48 lois du pouvoir par Robert Greene 9791092928075 (Litterature Francaise) CHM PDF

 

Overview

Le pouvoir. on le désire, on le craint, on s'en protège.« Le sentiment de n'avoir aucun pouvoir sur les gens et les événements est difficilement supportable : l'impuissance rend malheureux. Personne ne réclame moins de pouvoir, tout le monde en veut davantage. »Amoral, intelligent, impitoyable et captivant, cet ouvrage colossal condense 3 000 ans d'histoire du pouvoir en 48 lois. Véritable manuel de la manipulation, il analyse la quintessence de cette sagesse millénaire, tirée de la vie des plus illustres stratèges (Sun Zi, Clausewitz), hommes d'État (Louis XIV, Bismarck, Talleyrand), courtisans (Castiglione, Gracián), séducteurs (Ninon de Lenclos, Casanova) et escrocs de l'histoire. Certaines lois reposent sur la prudence (loi no 1 : Ne surpassez jamais le maître), d'autres demandent de la dissimulation (loi no 7 : Laissez le travail aux autres, mais recueillez-en les lauriers), d'autres encore une absence totale de compassion (loi no 15 : Écrasez complètement l'ennemi). Toutes ces lois trouveront des applications dans votre vie de tous les jours. Car, soyez en certain : le monde est une immense cour où se trament toutes sortes d'intrigues. Au lieu de nier l'évidence, tâchez d'exceller dans la course au pouvoir. Des extraits, des vidéos, des interviews de Robert Greene sur son site www.robertgreene.fr
Thin-foil magnetic force system for high-numerical-aperture microscopy
Creators: name: Taylor II, R. M.
name: Wilde, B.
name: Superfine, R.
name: Desai, K. V.
name: Bloom, K.
name: Keller, K.
name: Haase, J.
name: Cribb, J.
name: O'Brien, E. Timothy
name: Vicci, L.
name: Fisher, J. K.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2006

description: Forces play a key role in a wide range of biological phenomena from single-protein conformational dynamics to transcription and cell division, to name a few. The majority of existing microbiological force application methods can be divided into two categories: those that can apply relatively high forces through the use of a physical connection to a probe and those that apply smaller forces with a detached probe. Existing magnetic manipulators utilizing high fields and high field gradients have been able to reduce this gap in maximum applicable force, but the size of such devices has limited their use in applications where high force and high-numerical-aperture (NA) microscopy must be combined. We have developed a magnetic manipulation system that is capable of applying forces in excess of 700 pN on a 1 μm paramagnetic particle and 13 nN on a 4.5 μm paramagnetic particle, forces over the full 4π sr, and a bandwidth in excess of 3 kHz while remaining compatible with a commercially available high-NA microscope objective. Our system design separates the pole tips from the flux coils so that the magnetic-field geometry at the sample is determined by removable thin-foil pole plates, allowing easy change from experiment to experiment. In addition, we have combined the magnetic manipulator with a feedback-enhanced, high-resolution (2.4 nm), high-bandwidth (10 kHz), long-range (100 μm xyz range) laser tracking system. We demonstrate the usefulness of this system in a study of the role of forces in higher-order chromosome structure and function.
Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics
Creators: name: Akian, Jean-Luc
name: Bonnet, Luc
name: Owhadi, Houman
name: Savin, Éric
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This paper introduces algorithms to select/design kernels in Gaussian process regression/kriging surrogate modeling techniques. We adopt the setting of kernel method solutions in ad hoc functional spaces, namely Reproducing Kernel Hilbert Spaces (RKHS), to solve the problem of approximating a regular target function given observations of it, i.e. supervised learning. A first class of algorithms is kernel flow, which was introduced in the context of classification in machine learning. It can be seen as a cross-validation procedure whereby a "best" kernel is selected such that the loss of accuracy incurred by removing some part of the dataset (typically half of it) is minimized. A second class of algorithms is called spectral kernel ridge regression, and aims at selecting a "best" kernel such that the norm of the function to be approximated is minimal in the associated RKHS. Within Mercer's theorem framework, we obtain an explicit construction of that "best" kernel in terms of the main features of the target function. Both approaches of learning kernels from data are illustrated by numerical examples on synthetic test functions, and on a classical test case in turbulence modeling validation for transonic flows about a two-dimensional airfoil.
Leptons lurking in semi-visible jets at the LHC
Creators: name: Cazzaniga, Cesare
name: de Cosa, Annapaola
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: This Letter proposes a new search for confining dark sectors at the Large Hadron Collider. As a result of the strong dynamics in the hidden sector, dark matter could manifest in proton-proton collisions at the Large Hadron Collider in form of hadronic jets containing stable invisible bound states. These semi-visible jets have been studied theoretically and experimentally in the fully hadronic signature where the unstable composite dark matter can only decay promptly back to Standard Model quarks. We present a simplified model based on two messenger fields separated by a large mass gap allowing dark bound states to decay into pairs of oppositely charged leptons. The resulting experimental signature is characterized by non-isolated lepton pairs inside semi-visible jets. We propose a search strategy independent from the underlying model assumptions targeting this new signature, and discuss the orthogonality with respect to the existing searches. Remaining agnostic on the shape of the di-lepton spectrum, we determine the sensitivity of a dedicated analysis to the target signal. The proposed search can claim the 3σ evidence (exclusion) of the heavier mediator up to masses of 3.5 TeV (4.5 TeV) with the full Run 2 data of the LHC. Exploiting the resonant feature of the lepton pairs can enhance the sensitivity reach on a specific model. We estimate that an analysis using the di-lepton invariant mass information can reach 5σ discovery up to masses of 3.5 TeV and improve the exclusion up to more than 5 TeV.
description: 8 pages , 3 figures and 1 table
[download pdf] Chimie PCSI
Creators: name: Keller
Publisher: name: Zenodo
Year: 2024

description: Chimie PCSI pan Elsa Choubert, Thierry Finot

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Chimie PCSI

Elsa Choubert, Thierry Finot

Nb. de pages: 619

Format: Pdf, ePub, MOBI, FB2

ISBN: 9782340020092

Editeur: Ellipses Marketing

Date de parution: 2017

 

 

 

Télécharger un livre de google books gratuitement Chimie PCSI PDB iBook CHM par Elsa Choubert, Thierry Finot 9782340020092

 

Overview

Les ouvrages de la collection PREPAS SCIENCES sont le complément indispensable à la réussite en CPGE scientifiques. Ils ont été conçus et rédigés par des professeurs enseignant en CPGE scientifiques dans différents lycées de notre pays. Leur contenu a été discuté et pensé avec soin pour permettre la meilleure adéquation avec les attentes et les besoins des étudiants en classes préparatoires scientifiques. Pour intégrer, il faut assimiler le cours, en connaître les points fondamentaux et savoir le mettre en application dans des exercices ou des problèmes souvent ardus. Cette collection est conçue pour répondre à ces difficultés. Dans chaque chapitre, correspondant à peu près à une semaine de cours, le lecteur trouvera : Le résumé de cours : il vous permettra d'accéder à une connaissance synthétique des notions ; les méthodes : elles vous initieront aux techniques usuelles qu'il faut savoir mettre en place ; le vrai/faux : il testera votre compréhension du cours et vous évitera de tomber dans les erreurs classiques ; les exercices, avec des indications : souvent tirés d'annales de concours, ils vous entraîneront aux écrits comme aux oraux ; les corrigés : toujours rédigés avec soin, ils vous aideront à progresser dans la résolution d'exercices. Ainsi, avec un seul livre par année et par matière, la collection PREPAS SCIENCES vous permettra de surmonter les colles, d'affronter les devoirs, et elle vous guidera, jour après jour, dans votre cheminement vers la réussite aux concours.
Physics-guided descriptors for prediction of structural polymorphs
Creators: name: Grosso, Bastien F.
name: Spaldin, Nicola A.
name: Tehrani, Aria Mansouri
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: We develop a method combining machine learning (ML) and density functional theory (DFT) to predict low-energy polymorphs by introducing physics-guided descriptors based on structural distortion modes. We systematically generate crystal structures utilizing the distortion modes and compute their energies with single-point DFT calculations. We then train a ML model to identify low-energy configurations on the material's high-dimensional potential energy surface. Here, we use BiFeO3 as a case study and explore its phase space by tuning the amplitudes of linear combinations of a finite set of distinct distortion modes. Our procedure is validated by rediscovering several known metastable phases of BiFeO3 with complex crystal structures, and its efficiency is proved by identifying 21 new low-energy polymorphs. This approach proposes a new avenue toward accelerating the prediction of low-energy polymorphs in solid-state materials.
Mutations of DNAH11 in patients with primary ciliary dyskinesia with normal ciliary ultrastructure
Creators: name: Schmidts, Miriam
name: Carson, Johnny L.
name: Loges, Niki T.
name: Ferkol, Thomas W.
name: Rosenfeld, Margaret
name: Zariwala, Maimoona A.
name: Armstrong, Michael C.
name: Lori, Adriana
name: Becker-Heck, Anita
name: Davis, Stephanie D.
name: Omran, Heymut
name: Minnix, Susan L.
name: Dell, Sharon D.
name: Hazucha, Milan J.
name: Olbrich, Heike
name: Sagel, Scott D.
name: Leigh, Margaret W.
name: Werner, Claudius
name: Knowles, Michael R.
name: Olivier, Kenneth N.
name: Burns, Kimberlie A.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Primary ciliary dyskinesia (PCD) is an autosomal recessive, genetically heterogeneous disorder characterized by oto-sino-pulmonary disease and situs abnormalities (Kartagener syndrome) due to abnormal structure and/or function of cilia. Most patients currently recognized to have PCD have ultrastructural defects of cilia; however, some patients have clinical manifestations of PCD and low levels of nasal nitric oxide, but normal ultrastructure, including a few patients with biallelic mutations in DNAH11.
Agilepy: A Python framework for scientific analysis of AGILE data
Creators: name: Bulgarelli, A.
name: Baroncelli, L.
name: Addis, A.
name: Parmiggiani, N.
name: Aboudan, A.
name: Di Piano, A.
name: Fioretti, V.
name: Tavani, M.
name: Pittori, C.
name: Lucarelli, F.
name: Verrecchia, F.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: The Italian AGILE space mission, with its Gamma-Ray Imaging Detector (GRID) instrument sensitive in the 30 MeV-50 GeV gamma-ray energy band, has been operating since 2007. Agilepy is an open-source Python package to analyse AGILE/GRID data. The package is built on top of the command-line version of the AGILE Science Tools, developed by the AGILE Team, publicly available and released by ASI/SSDC. The primary purpose of the package is to provide an easy to use high-level interface to analyse AGILE/GRID data by simplifying the configuration of the tasks and ensuring straightforward access to the data. The current features are the generation and display of sky maps and light curves, the access to gamma-ray sources catalogues, the analysis to perform spectral model and position fitting, the wavelet analysis. Agilepy also includes an interface tool providing the time evolution of the AGILE off-axis viewing angle for a chosen sky region. The Flare Advocate team also uses the tool to analyse the data during the daily monitoring of the gamma-ray sky. Agilepy (and its dependencies) can be easily installed using Anaconda.
description: 4 pages, 1 figure
Direct visualization of surface spin-flip transition in MnBi4Te7
Creators: name: Ge, Wenbo
name: Kim, Jinwoong
name: Chan, Ying-Ting
name: Vanderbilt, David
name: Yan, Jiaqiang
name: Wu, Weida
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We report direct visualization of spin-flip transition of the surface layer in antiferromagnet MnBi4Te7, a natural superlattice of alternating MnBi2Te4 and Bi2Te3 layers, using cryogenic magnetic force microscopy (MFM). The observation of magnetic contrast across domain walls and step edges confirms that the antiferromagnetic order persists to the surface layers. The magnetic field dependence of the MFM images reveals that the surface magnetic layer undergoes a first-order spin-flip transition at a magnetic field that is lower than the bulk transition, in excellent agreement with a revised Mills' model. Our analysis indicates an enhancement of the order parameter in the surface magnetic layer, implying robust ferromagnetism in the single-layer limit. The direct visualization of surface spin-flip transition not only opens up exploration of surface metamagnetic transitions in layered antiferromagnets, but also provides experimental support for realizing quantized transport in ultra-thin films of MnBi4Te7 and other natural superlattice topological magnets.
description: 6 pages, 4 figures