cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: 01_0315
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
Study 3 Materials
Creators: name: Hehman, Eric
name: Bouchard, Mara
name: Lim, Travis
name: Debionne, Anouchka
name: Beaucage, Sofia
name: Audrée Bujold
name: Campfield, Ella
name: Said, Ines Ben
Publisher: name: OSF Registries
Year: 2020

description: Study 3 Materials (provided by Dr. J. Stellar)
Invariant prolongation of the Killing tensor equation
Creators: name: Gover, A. Rod
name: Leistner, Thomas
Publisher: name: arXiv
Year: 2018
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53B10 (Primary), 53A20 (Secondary)

description: The Killing tensor equation is a first order differential equation on symmetric covariant tensors that generalises to higher rank the usual Killing vector equation on Riemannian manifolds. We view this more generally as an equation on any manifold equipped with an affine connection, and in this setting derive its prolongation to a linear connection. This connection has the property that parallel sections are in 1-1 correspondence with solutions of the Killing equation. Moreover this connection is projectively invariant and is derived entirely using the projectively invariant tractor calculus which reveals also further invariant structures linked to the prolongation.
description: 24 pages
Investigation of intramolecular vibrational energy flow in polyatomic molecules by the femtosecond pump-probe technique
Creators: name: Kushnarenko, Alexander
name: Miloglyadov, Eduard
name: Quack, Martin
name: Seyfang, Georg
Publisher: name: ETH Zurich
Year: 2012

description: Chimia, 66 (7-8)
description: ISSN:0009-4293
Fusion systems with Benson-Solomon components
Creators: name: Henke, Ellen
name: Lynd, Justin
Publisher: name: arXiv
Year: 2018
Subjects: subject: Group Theory (math.GR)
subject: FOS: Mathematics
subject: 20D20, 20D05, 20D06, 20G40, 55R35

description: The Benson-Solomon systems comprise a one-parameter family of simple exotic fusion systems at the prime $2$. The results we prove give significant additional evidence that these are the only simple exotic $2$-fusion systems, as conjectured by Solomon. We consider a saturated fusion system $\mathcal{F}$ having an involution centralizer with a component $\mathcal{C}$ isomorphic to a Benson-Solomon fusion system, and we show under rather general hypotheses that $\mathcal{F}$ cannot be simple. Furthermore, we prove that if $\mathcal{F}$ is almost simple with these properties, then $\mathcal{F}$ is isomorphic to the next larger Benson-Solomon system extended by a group of field automorphisms. Our results are situated within Aschbacher's program to provide a new proof of a major part of the classification of finite simple groups via fusion systems. One of the most important steps in this program is a proof of Walter's Theorem for fusion systems, and our first result is specifically tailored for use in the proof of that step. We then apply Walter's Theorem to treat the general Benson-Solomon component problem under the assumption that each component of an involution centralizer in $\mathcal{F}$ is on the list of currently known quasisimple $2$-fusion systems.
description: v1: 31 pages; v2: 42 pages, results strengthened in new Thm 2 with proof in new Sec 7, Cor 3 and Prop 4 added, introduction expanded, other improvements; v3: 48 pages, improvements in response to anonymous referee reports. To appear in Duke Math. J
Analysis of the highly resolved spectrum of CHD2I in the region around 1000 cm-1 and the search for Intramolecular Vibrational energy Redistribution (IVR)
Creators: name: Manca Tanner, Carine
name: Yang, Zhiyi
name: Albert, Sieghard
name: Quack, Martin
Publisher: name: ETH Zurich
Year: 2012

description: Chimia, 66 (7-8)
description: ISSN:0009-4293
Synthesis of 1-Substituted Fluorenones
Creators: name: George, Stephen R. D.
name: Scott, Lawrence T.
name: Harper, Jason B.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: Molecular Biology
subject: Pharmacology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Plant Biology
subject: Computational Biology

description: A convenient and scalable synthesis of a range of 1-substituted fluorenones from readily available starting materials is described. Through the use of either a Suzuki process, benzyne chemistry, or the Hoffmann rearrangement, a range of different 1-substituted fluorenones (fluoro, chloro, bromo, iodo, methoxy, cyano, amino, phenyl, and hydroxy) were prepared on a multigram scale using robust and readily reproducible chemistry.
Linear superposition as a core theorem of quantum empiricism
Creators: name: Brezhnev, Yurii V.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Physics (quant-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: Clarifying the nature of the quantum state $|Ψ\rangle$ is at the root of the problems with insight into counter-intuitive quantum postulates. We provide a direct-and math-axiom free-empirical derivation of this object as an element of a vector space. Establishing the linearity of this structure--quantum superposition--is based on a set-theoretic creation of ensemble formations and invokes the following three principia: ($\textsf{I}$) quantum statics, ($\textsf{II}$) doctrine of the number in the physical theory, and ($\textsf{III}$) mathematization of matching the two observations with each other (quantum covariance). All of the constructs rest upon a formalization of the minimal experimental entity--the registered micro-event, detector click. This is sufficient for producing the $\mathbb C$-numbers, axioms of linear vector space (superposition principle), statistical mixtures of states, eigenstates and their spectra, and non-commutativity of observables. No use is required of the spatio-temporal concepts. As a result, the foundations of theory are liberated to a significant extent from the issues associated with physical interpretations, philosophical exegeses, and mathematical reconstruction of the entire quantum edifice.
description: Final version; 84 pages (major improvements), no figures. Russian version is available upon email-request
Self-efficacy development in undergraduate engineering education
Creators: name: Power, Jason
name: TANNER, DAVID
name: Buckley, Jeffrey
Publisher: name: University of Limerick
Year: 2024
Subjects: classificationCode: 39
subject: Education
classificationCode: 40
subject: Engineering

description: Self-efficacy has been linked to academic performance, motivation, and progression within engineering degree programs. Such associations are context specific, and an understanding of sources of self-efficacy is paramount to guiding policy and practice enhancements. We sought to understand the self-efficacy beliefs held by 1st year engineering students on a common entry program in Ireland prior to their choosing of a field of engineering to pursue for the remainder of their undergraduate studies. A mixed-methods survey design was adopted. Self-efficacy was quantitatively measured at the beginning and end of the participants second semester using the scale developed by Mamaril et al. (Mamaril, N. A., E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy. 2016. “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study.” Journal of Engineering Education 105 (2): 366–395. https://doi.org/10.1002/jee.20121.). Data was gathered pertaining to general and three distinct domains of engineering self-efficacy. In the post-survey, open questions were added to capture qualitative insight regarding participants’ views on the sources of their beliefs. A partial replication of the results of Mamaril et al. (Mamaril, N. A., E. L. Usher, C. R. Li, D. R. Economy, and M. S. Kennedy. 2016. “Measuring Undergraduate Students’ Engineering Self-Efficacy: A Validation Study.” Journal of Engineering Education 105 (2): 366–395. https://doi.org/10.1002/ jee.20121.) was observed suggesting possible contextual impacts on specific dimensions of student self-efficacy. Female students began the semester with significantly lower tinkering skills self-efficacy to male students, with female students general engineering self-efficacy increasing statistically more over the semester within a CDIO module. Qualitative findings indicate context-specific gendered experiences perceived as impacting student self-efficacy.
Rethinking the Effective Sample Size
Creators: name: Elvira, Víctor
name: Martino, Luca
name: Robert, Christian P.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Computation (stat.CO)
subject: FOS: Computer and information sciences

description: The effective sample size (ESS) is widely used in sample-based simulation methods for assessing the quality of a Monte Carlo approximation of a given distribution and of related integrals. In this paper, we revisit the approximation of the ESS in the specific context of importance sampling (IS). The derivation of this approximation, that we will denote as $\widehat{\text{ESS}}$, is partially available in Kong (1992). This approximation has been widely used in the last 25 years due to its simplicity as a practical rule of thumb in a wide variety of importance sampling methods. However, we show that the multiple assumptions and approximations in the derivation of $\widehat{\text{ESS}}$, makes it difficult to be considered even as a reasonable approximation of the ESS. We extend the discussion of the $\widehat{\text{ESS}}$ in the multiple importance sampling (MIS) setting, we display numerical examples, and we discuss several avenues for developing alternative metrics. This paper does not cover the use of ESS for MCMC algorithms.
Wavelet Methods for Studying the Onset of Strong Plasma Turbulence
Creators: name: Le, Ari
name: Roytershteyn, Vadim
name: Karimabadi, Homa
name: Stanier, Adam
name: Chacon, Luis
name: Schneider, Kai
Publisher: name: arXiv
Year: 2018
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: Wavelet basis functions are a natural tool for analyzing turbulent flows containing localized coherent structures of different spatial scales. Here, wavelets are used to study the onset and subsequent transition to fully developed turbulence from a laminar state. Originally applied to neutral fluid turbulence, an iterative wavelet technique decomposes the field into coherent and incoherent contributions. In contrast to Fourier power spectra, finite time Lyapunov exponents (FTLE), and simple measures of intermittency such as non-Gaussian statistics of field increments, the wavelet technique is found to provide a quantitative measure for the onset of turbulence and to track the transition to fully developed turbulence. The wavelet method makes no assumptions about the structure of the coherent current sheets or the underlying plasma model. Temporal evolution of the coherent and incoherent wavelet fluctuations is found to be highly correlated with the magnetic field energy and plasma thermal energy, respectively. The onset of turbulence is identified with the rapid growth of a background of incoherent fluctuations spreading across a range of scales and a corresponding drop in the coherent components. This is suggestive of the interpretation of the coherent and incoherent wavelet fluctuations as measures of coherent structures (e.g., current sheets) and dissipation, respectively. The ratio of the incoherent to coherent fluctuations $R_{ic}$ is found to be fairly uniform across different plasma models and provides an empirical threshold for turbulence onset. The technique is illustrated through examples. First, it is applied to the Kelvin--Helmholtz instability from different simulation models including fully kinetic, hybrid (kinetic ion/fluid electron), and Hall MHD simulations. Second, it is applied to the development of turbulence downstream of the bowshock in a magnetosphere simulation.
title: Patrizia Bagnarelli, Dominique Mathez, P. Clementi, J. Leibowitch, "Neither systemic HIV activity nor systemic T Cell activation drive peripheral CD4 T cell decline : a non-cytopathic model for HIV-related CD4 T cell depletion."
Creators: name: Bagnarelli, Patrizia
name: Clementi, P.
name: Mathez, Dominique
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: Résumé.
description: Source: http://www.calames.abes.fr/pub/ms/Calames-20193111031798179
Prospects for terahertz imaging the human skin cancer with the help of gold-nanoparticles-based terahertz-to-infrared converter
Creators: name: Postnikov, A. V.
name: Moldosanov, K. A.
name: Kairyev, N. J.
name: Lelevkin, V. M.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Medical Physics (physics.med-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The design is suggested, and possible operation parameters are discussed, of an instrument to inspect a skin cancer tumour in the terahertz (THz) range, transferring the image into the infrared (IR) and making it visible with the help of standard IR camera. The central element of the device is the THz-to-IR converter, a Teflon or silicon film matrix with embedded 8.5 nm diameter gold nanoparticles. The use of external THz source for irradiating the biological tissue sample is presumed. The converter's temporal characteristics enable its performance in a real-time scale. The details of design suited for the operation in transmission mode (in vitro) or on the human skin in reflection mode {in vivo) are specified.
description: To be published in the proceedings of the FANEM2018 workshop - Minsk, 3-5 June 2018
Conformal properties of indefinite bi-invariant metrics
Creators: name: Francis-Staite, Kelli
name: Leistner, Thomas
Publisher: name: arXiv
Year: 2019
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C50, 53C35, 53A30 (Primary), 22E60 (Secondary)

description: An indecomposable Lie group with Riemannian bi-invariant metric is always simple and hence Einstein. For indefinite metrics this is no longer true, not even for simple Lie groups. We study the question of whether a semi-Riemannian bi-invariant metric is conformal to an Einstein metric. We obtain results for all three cases in the structure theorem by Medina and Revoy for indecomposable metric Lie algebras: the case of simple Lie algebras, and the cases of double extensions of metric Lie algebras by $\mathbb{R}$ or a simple Lie algebra. Simple Lie algebras are conformally Einstein precisely when they are Einstein, or when equal to $\mathfrak{sl}_2\mathbb{C}$ and conformally flat. Double extensions of metric Lie algebras by simple Lie algebras of rank greater than one are never conformally Einstein, and neither are double extensions of Lorentzian oscillator algebras, whereas the oscillator algebras themselves are conformally Einstein. Our results give a complete answer to the question of which metric Lie algebras in Lorentzian signature and in signature (2,n-2) are conformally Einstein.
description: 31 pages, no figures, comments welcome. In v2 the statement of Theorem 1.2 is corrected, all other results are not affected
Helping Parents in a Pinch: An Academic Library Becomes More Family-Friendly
Creators: name: Gammons, Rachel
name: Corlett-Rivera, Kelsey
Publisher: name: American Libraries
Year: 2020
Subjects: children
academic library
family
study space

description: Children are present in many types of libraries—not just the public variety. The expense and difficulties of arranging childcare mean that even academic library patrons often need to bring young ones along when studying or browsing the stacks. Now, through the creation of a family study space and other amenities, the University of Maryland Libraries has made it easier for parents, caregivers, and children to visit.
Geometry and holonomy of indecomposable cones
Creators: name: Alekseevsky, Dmitri
name: Cortés, Vicente
name: Leistner, Thomas
Publisher: name: arXiv
Year: 2019
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: Primary 53C50, Secondary 53C29, 53B30

description: We study the geometry and holonomy of semi-Riemannian, time-like metric cones that are indecomposable, i.e., which do not admit a local decomposition into a semi-Riemannian product. This includes irreducible cones, for which the holonomy can be classified, as well as non irreducible cones. The latter admit a parallel distribution of null $k$-planes, and we study the cases $k=1$ and $k=2$ in detail. In these cases, i.e., when the cone admits a distribution of parallel null tangent lines or planes, we give structure theorems about the base manifold. Moreover, in the case $k=1$ and when the base manifold is Lorentzian, we derive a description of the cone holonomy. This result is obtained by a computation of certain cocycles of indecomposable subalgebras in $\mathfrak{so}(1,n-1)$.
description: 42 pages; in v2 the proofs in Sections 5.2 and 5.3 are shortened by using results by Hochschild and Serre
The high-speed particle phase discriminator - PPD-HS: Revealing the phase of cloud particles
Creators: name: Wieder, Jörg
Publisher: name: ETH Zurich
Year: 2018
Subjects: clouds; mixed-phase clouds; cloud droplets; ice crystals; phase discrimination; meteorology; instrumentation development
info:eu-repo/classification/ddc/550
Earth sciences

description: Mixed-phase clouds (MPCs) play a critical role in the physical processes of Earth’s atmosphere. They impact the global radiation budget with their varying optical properties and can trigger precipitation events. The governing microphysical processes are complex and ice formation mechanisms are still not understood completely rendering the accurate representation of MPCs in atmo- spheric models difficult. Determining the size distribution and phase fractions down to the micrometer scale is still a major challenge for current generation instruments. In this work a new device is presented, the high-speed Particle Phase Discriminator (PPD-HS). PPD-HS was originally developed for discrimination of spherical and aspherical particles based on (reduced information of) spatial distribution of forward scattered light of single particles. Here we use a variety of test particles (e.g. oil droplets, salt crystals) between approximately 3 and 15μm in diameter, to present a new method how phase discrimination can reliably be achieved. A misclassification of 8.7% between spherical and aspherical particle was found. PPD-HS was subsequently used to discriminate phase of (real) cloud particles under mixed-phase cloud conditions in a continuous flow diffusion chamber setup. A size detection limit of 1 μm and a phase discrimination limit of 2.5 μm was found for PPD-HS.
Cryptographic key distribution over a public network via variance-based watermarking in compressive measurements
Creators: name: Yu, Wen-Kai
Publisher: name: arXiv
Year: 2019
Subjects: subject: Cryptography and Security (cs.CR)
subject: Applied Physics (physics.app-ph)
subject: Optics (physics.optics)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: The optical communication has an increasing need for security in public transmission scenarios. Here we present a protocol for cryptographic key distribution over a public network via photon-counting compressive imaging system with watermarking, which utilizes watermarking technique to distribute secure keys, and uses reconstructed images for simultaneous identity authentication and tampering identification. The watermark is embedded in the rearranged compressed measurements of the object, and then the signal is transmitted through a public network. At the receiving terminal, the legitimate users can easily extract the watermark as the cryptographic key by using initial keys and the variance characteristic of random measurements. Artificial tampering and attacks can be detected by the accurately retrieved images. The realization of this protocol is a step forward toward the practical applications, and will be beneficial for the broader fields of optical security in many ways.
description: 13 pages, 7 figures
The Weight Function in the Subtree Kernel is Decisive
Creators: name: Azaïs, Romain
name: Ingels, Florian
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Tree data are ubiquitous because they model a large variety of situations, e.g., the architecture of plants, the secondary structure of RNA, or the hierarchy of XML files. Nevertheless, the analysis of these non-Euclidean data is difficult per se. In this paper, we focus on the subtree kernel that is a convolution kernel for tree data introduced by Vishwanathan and Smola in the early 2000's. More precisely, we investigate the influence of the weight function from a theoretical perspective and in real data applications. We establish on a 2-classes stochastic model that the performance of the subtree kernel is improved when the weight of leaves vanishes, which motivates the definition of a new weight function, learned from the data and not fixed by the user as usually done. To this end, we define a unified framework for computing the subtree kernel from ordered or unordered trees, that is particularly suitable for tuning parameters. We show through eight real data classification problems the great efficiency of our approach, in particular for small datasets, which also states the high importance of the weight function. Finally, a visualization tool of the significant features is derived.
description: 36 pages
Advancing Packet-Level Traffic Predictions with Transformers
Creators: name: Ray, Siddhant
Publisher: name: ETH Zurich
Year: 2022

description: Learning underlying network dynamics from packet-level data has been deemed an extremely difficult task, to the point that it is practically not attempted. While research has shown that machine learning (ML) models can be used to learn behaviour and improve on some specific tasks in the networking domain, these models do not generalize to any other tasks. However, a new ML model called the Transformer has shown massive generalization abilities in several fields, where the model is pre-trained on large datasets, in a task agnostic fashion and fine-tuned on smaller datasets for task specific applications, and has become the state-of-the-art architecture for machine learning generalization. We present a new Transformer architecture adapted for the networking domain, the Network Traffic Transformer (NTT), which is designed to learn network dynamics from packet traces. We pre-train our NTT to learn fundamental network dynamics and then, leverage this learnt behaviour to fine-tune to specific network applications in a quick and efficient manner. By learning such dynamics in the network, the NTT can then be used to make more network-aware decisions across applications, make improvements to the same and make the networks of tomorrow, more efficient and reliable.
Role of changes in SARS-CoV-2 spike protein in the interaction with the human ACE2 receptor: An in silico analysis
Creators: name: Ortega, Joseph Thomas
name: Serrano, Maria Luisa
name: Pujol, Flor Helene
name: Rangel, Hector Rafael
Publisher: name: IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund
Year: 2020
Subjects: spike
SARS-CoV-2
ACE2
Coronavirus
outbreak

description: Many human viral diseases are a consequence of a zoonotic event. Some of the diseases caused by these zoonotic events have affected millions of people around the world, some of which have resulted in high rates of morbidity/mortality in humans. Changes in the viral proteins that function as ligands of the host receptor may promote the spillover between species. The most recent of these zoonotic events that have caused an ongoing epidemic of high magnitude is the Covid-19 epidemics caused by SARS-CoV-2. The aim of this study was to determine the mutation(s) in the sequence of the spike protein of the SARS-CoV-2 that might be favoring human to human transmission. An in silico approach was performed, and changes were detected in the S1 subunit of the receptor-binding domain of spike. The observed changes have significant effect on SARS-CoV-2 spike/ACE2 interaction and produce a reduction in the binding energy, compared to the one of the Bat-CoV to this receptor. The data presented in this study suggest a higher affinity of the SARS-Cov-2 spike protein to the human ACE2 receptor, compared to the one of Bat-CoV spike and ACE2. This could be the cause of the rapid viral spread of SARS-CoV-2 in humans.
description: EXCLI Journal; 19:Doc410; ISSN 1611-2156
Using in vitro to in vivo extrapolation (IVIVE) to develop toxicity metrics for human health risk assessment of polybrominated diphenyl ethers (PBDE)
Creators: name: Pree, Krystal L.
name: Bruce, Erica D.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Polybrominated diphenyl ethers (PBDE) are flame retardants found in many industrial components, such as furniture foam, consumer electronics, plastics, and textiles and levels have increased in human beings over the past few decades. PBDE (1) produce adverse neurotoxic effects in mice, (2) are lipophilic, and (3) bioaccumulate in fish. Consequently, PBDE biomagnification may occur, which may be transferred to human beings in amounts that may exert adverse health effects. This investigation uses in vitro models to calculate bioassay-based reference doses in order to develop a human health risk assessment based on the consumption of PBDE-contaminated fish, using in vitro to in vivo extrapolation. The toxicity effects of 10 PBDE congeners were examined and compared among those developed using traditional in vivo mouse studies and in vitro models in this investigation employing rat (Clone-9), HEPG2 and zebrafish liver cells to determine the feasibility of using alternative approaches to develop toxicity metrics to evaluate human health risk.
title: Ordre national des médecins, Code de déontologie médicale
Creators: name: Leibowitch, Jacques
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: Source: http://www.calames.abes.fr/pub/ms/Calames-201931112328303144
description: created: start=1975;end=2018
CookieBlock & CookieAudit: Fixing Cookie Consent with ML
Creators: name: Kubicek, Karel
name: Bollinger, Dino
name: Zanga, Adrian
name: Cotrini, Carlos
name: Basin, David
Publisher: name: ETH Zurich
Year: 2022

description: The European Union's General Data Protection Regulation (GDPR) requires websites to inform users about personal data collection and request consent for cookies. Yet the majority of websites do not give users any choices, and others attempt to deceive them into accepting all cookies. We document the severity of this situation through an analysis of potential GDPR violations in cookie banners in almost 30k websites. We identify six novel violation types, such as incorrect category assignments and misleading expiration times, and we find at least one potential violation in a surprising 94.7% of the analyzed websites. 
We address this issue by giving users the power to protect their privacy. We develop a browser extension, called CookieBlock, that uses machine learning to enforce GDPR cookie consent at the client. It automatically categorizes cookies by usage purpose using only the information provided in the cookie itself. At a mean validation accuracy of 84.4%, our model attains a prediction quality competitive with expert knowledge in the field. Additionally, our approach differs from prior work by not relying on the cooperation of websites themselves. We empirically evaluate CookieBlock on a set of 100 randomly sampled websites, on which it filters roughly 90% of the privacy-invasive cookies without significantly impairing website functionality.
A large-scale, in-depth analysis of developers' personalities in the Apache ecosystem
Creators: name: Calefato, Fabio
name: Lanubile, Filippo
name: Vasilescu, Bogdan
Publisher: name: arXiv
Year: 2019
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Context: Large-scale distributed projects are typically the results of collective efforts performed by multiple developers with heterogeneous personalities. Objective: We aim to find evidence that personalities can explain developers' behavior in large scale-distributed projects. For example, the propensity to trust others - a critical factor for the success of global software engineering - has been found to influence positively the result of code reviews in distributed projects. Method: In this paper, we perform a quantitative analysis of ecosystem-level data from the code commits and email messages contributed by the developers working on the Apache Software Foundation (ASF) projects, as representative of large scale-distributed projects. Results: We find that there are three common types of personality profiles among Apache developers, characterized in particular by their level of Agreeableness and Neuroticism. We also confirm that developers' personality is stable over time. Moreover, personality traits do not vary with their role, membership, and extent of contribution to the projects. We also find evidence that more open developers are more likely to make contributors to Apache projects. Conclusion: Overall, our findings reinforce the need for future studies on human factors in software engineering to use psychometric tools to control for differences in developers' personalities.
description: pp. 1-20
Technologically Reluctant Teachers. A TAM Based Study On Compatibility And Resistance To Change Among Pre-Service Teachers
Creators: name: Prieto, José Carlos Sánchez
name: Migueláñez, Susana Olmos
name: GARCÍA-PEÑALVO, Francisco José
Publisher: name: figshare
Year: 2016
Subjects: Education

description: Technologically Reluctant Teachers. A TAM Based Study On Compatibility And Resistance To Change Among Pre-Service Teachers
Smart network based portfolios
Creators: name: Clemente, Gian Paolo
name: Grassi, Rosanna
name: Hitaj, Asmerilda
Publisher: name: arXiv
Year: 2019
Subjects: subject: Portfolio Management (q-fin.PM)
subject: FOS: Economics and business

description: In this article we deal with the problem of portfolio allocation by enhancing network theory tools. We use the dependence structure of the correlations network in constructing some well-known risk-based models in which the estimation of correlation matrix is a building block in the portfolio optimization. We formulate and solve all these portfolio allocation problems using both the standard approach and the network-based approach. Moreover, in constructing the network-based portfolios we propose the use of two different estimators for the covariance matrix: the sample estimator and the shrinkage toward constant correlation one. All the strategies under analysis are implemented on two high-dimensional portfolios having different characteristics, covering the period from January $2001$ to December $2017$. We find that the network-based portfolio consistently better performs and has lower risk compared to the corresponding standard portfolio in an out-of-sample perspective.
Using Simulators for the Assessment of Handling of Motorcycles
Creators: name: M. Massaro
name: V. Cossalter
name: J. Sadauckas
name: R. Lot
Publisher: name: figshare
Year: 2016
Subjects: subject: Mechanical Engineering
subject: FOS: Mechanical engineering
subject: 91106 Special Vehicles
subject: FOS: Environmental engineering

description: A proceedings paper from BMD 2016.

Currently only a few motorcycle simulators exist, few or none of which are used during the development of real vehicles. Indeed, most of the existing simulators can some-how reproduce the behavior of a ‘typical’ motorcycle, as opposed to a ‘specific’ motorcycle or configuration. In this work the motorcycle simulator of the University of Padova is employed to assess its possible usage in the development phase of real vehicles. The ultimate objective is using the simulator to evaluate the handling of a specific motorcycle in a specific configuration.

Lab tests, numerical simulations, road tests with onboard telemetry, and simulator tests have been employed during this research. The same riders that rode the real motorcycle on the real track tested the virtual motorcycle on the (same) virtual track using the simulator. Different setups were considered, both on the track and on the simulator, including different front frame properties, front wheel inertial properties, tires, lower surface friction (wet track), steering damper settings, as well as frame structural stiffness.
Conflicting disk inclination estimates for the black hole X-ray binary XTE J1550-564
Creators: name: ~Connors, Riley~M. ~T.
name: ~Garcia, Javier~A.
name: ~Steiner, James~F.
name: Grinberg, Victoria
name: Dauser, Thomas
name: Sridhar, Navin
name: Gatuzz, Efrain
name: Tomsick, John
name: Markoff, Sera B.
name: Harrison, Fiona
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: XTE J1550-564 is a black hole X-ray binary for which the dynamical characteristics are well established, and the broadband spectral evolution of the source has been well studied. Its orbital inclination is known to be high, at $\sim75^{\circ}$, with the jet estimated to align well with the orbital axis. We explore simultaneous observations made with ASCA and RXTE, covering the $1$--$200$~keV band, during the early stages of the first outburst of XTE J1550-564 in its hard-intermediate state, on 1998-09-23/24. We show that the most up-to-date reflection models, applied to these data, yield an inclination estimate much lower than found in previous studies, at $\sim40^{\circ}$, grossly disagreeing with the dynamically estimated orbital inclination. We discuss the possible explanations for this disagreement and its implications for reflection models, including possible physical scenarios in which either the inner disk is misaligned both with binary orbit and the outer jet, or either the inner accretion flow, corona, and/or jet have vertical structure which leads to lower inferred disk inclination through various physical means.
description: 20 pages, 10 figures
Epistemología y metodología de la investigación sociológica: reflexiones críticas de nuestras prácticas de investigación
Creators: name: Alejandra Ureña Castellanos, Camila
Publisher: name: Humanities Commons
Year: 2023

description: Este artículo aborda el bajo nivel de reflexión sobre los supuestos epistemológicos y metodológicos en la sociología. Cuestiona el uso predominante de estrategias multimétodo, la influencia positivista y neopositivista en las ciencias sociales y el excesivo uso de la entrevista como método cualitativo de recolección y análisis de datos. Para romper con el proceso deductivo que limita la investigación se propone: considerar nuevos métodos de investigación y enfoques, mantener una actitud de apertura hacia la pluralidad epistemológica y metodológica y explorar nuevas formas de generar conocimiento.
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Creators: name: Müller, Dominik
name: Kramer, Frank
Publisher: name: arXiv
Year: 2019
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: The increased availability and usage of modern medical imaging induced a strong need for automatic medical image segmentation. Still, current image segmentation platforms do not provide the required functionalities for plain setup of medical image segmentation pipelines. Already implemented pipelines are commonly standalone software, optimized on a specific public data set. Therefore, this paper introduces the open-source Python library MIScnn. The aim of MIScnn is to provide an intuitive API allowing fast building of medical image segmentation pipelines including data I/O, preprocessing, data augmentation, patch-wise analysis, metrics, a library with state-of-the-art deep learning models and model utilization like training, prediction, as well as fully automatic evaluation (e.g. cross-validation). Similarly, high configurability and multiple open interfaces allow full pipeline customization. Running a cross-validation with MIScnn on the Kidney Tumor Segmentation Challenge 2019 data set (multi-class semantic segmentation with 300 CT scans) resulted into a powerful predictor based on the standard 3D U-Net model. With this experiment, we could show that the MIScnn framework enables researchers to rapidly set up a complete medical image segmentation pipeline by using just a few lines of code. The source code for MIScnn is available in the Git repository: https://github.com/frankkramer-lab/MIScnn.
description: Open-source Python framework available on GitHub (https://github.com/frankkramer-lab/MIScnn) and PyPI (miscnn). 11 pages
Epistemología y metodología de la investigación sociológica: reflexiones críticas de nuestras prácticas de investigación
Creators: name: Alejandra Ureña Castellanos, Camila
Publisher: name: unknown
Year: 2023

description: Este artículo aborda el bajo nivel de reflexión sobre los supuestos epistemológicos y metodológicos en la sociología. Cuestiona el uso predominante de estrategias multimétodo, la influencia positivista y neopositivista en las ciencias sociales y el excesivo uso de la entrevista como método cualitativo de recolección y análisis de datos. Para romper con el proceso deductivo que limita la investigación se propone: considerar nuevos métodos de investigación y enfoques, mantener una actitud de apertura hacia la pluralidad epistemológica y metodológica y explorar nuevas formas de generar conocimiento.
Semi-Riemannian cones
Creators: name: Leistner, Thomas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C50, Secondary 53C29, 53B30, 53C27

description: Due to a result by Gallot a Riemannian cone over a complete Riemannian manifold is either flat or has an irreducible holonomy representation. This is false in general for indefinite cones but the structures induced on the cone by holonomy invariant subspaces can be used to study the geometry on the base of the cone. The purpose of this paper is twofold: first we will give a survey of general results about semi-Riemannian cones with non irreducible holonomy representation and then, as the main result, we will derive improved versions of these general statements in the case when the cone admits a parallel vector field. We will show that if the base manifold is complete and the fibre of the cone and the parallel vector field have the same causal character, then the cone is flat, and that otherwise, the base manifold admits a certain global warped product structure. We will use these results to give a new proof of the classification results for Riemannian manifolds with imaginary Killing spinors and Lorentzian manifolds with real Killing spinors which are due to Baum and Bohle.
description: Prepared for the Proceedings of the 2019 Abel Symposium "Geometry, Lie Theory and Applications"
A new force field for the adsorption of H2, O2, N2, CO, H2O, and H2S gases on alkali doped carbon nanotubes
Creators: name: Mahdiyeh Bamdad
name: Farrokhpour, Hossein
name: Ashrafizaadeh, Mahmud
name: Najafi, Bijan
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: Biochemistry
subject: Space Science
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Hematology
subject: Plant Biology
subject: FOS: Biological sciences

description: The main goal of this work is the generation of a new force field data set to the interaction of several gases such as H2, O2, N2, CO, H2O, and H2S with alkali cation-doped carbon nanotubes (CNTs) using ab initio calculations at the MP2(full)/6-311++G(d,p) level of theory. Different alkali cations including Li+, Na+, K+ and Cs+ were used to dope in the CNT. The calculated potential energy curve for the interaction of each gas molecule with each alkali cation-doped CNTs was fitted to an analytical potential function to obtain the parameters of the potential function. A modified Morse potential function was selected for the fitting in which the electrostatic interactions has been accounted by adding the β/r term to the Morse potential. The accuracy of the calculated force field was checked via Grand Canonical Monte Carlo (GCMC) simulation of the H2 adsorption on Li-doped graphite and Li-doped CNT. The results of these simulations were compared with the experimental measurements and the closeness of the simulation results with the experimental data indicated the accuracy of the proposed force field. The main merit of this work is the derivation of a specific force field for interaction of each of six gases with four alkali cation-doped CNT, which can be used in molecular simulation of these 24 of systems. The simulation results showed the increase of the H2 adsorption capacity of nanotube and graphite up to 50% and 10%, respectively, due to the insertion of Li ions.
Multi-wavelet residual dense convolutional neural network for image denoising
Creators: name: Wang, Shuo-Fei
name: Yu, Wen-Kai
name: Li, Ya-Xin
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Networks with large receptive field (RF) have shown advanced fitting ability in recent years. In this work, we utilize the short-term residual learning method to improve the performance and robustness of networks for image denoising tasks. Here, we choose a multi-wavelet convolutional neural network (MWCNN), one of the state-of-art networks with large RF, as the backbone, and insert residual dense blocks (RDBs) in its each layer. We call this scheme multi-wavelet residual dense convolutional neural network (MWRDCNN). Compared with other RDB-based networks, it can extract more features of the object from adjacent layers, preserve the large RF, and boost the computing efficiency. Meanwhile, this approach also provides a possibility of absorbing advantages of multiple architectures in a single network without conflicts. The performance of the proposed method has been demonstrated in extensive experiments with a comparison with existing techniques.
description: 9 pages, 9 figures
Fragment-synthesis-based multiparty cryptographic key distribution over a public network
Creators: name: Yu, Wen-Kai
name: Li, Ya-Xin
name: Leng, Jian
name: Wang, Shuo-Fei
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: Cryptography and Security (cs.CR)
subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: A secure optical communication requires both high transmission efficiency and high authentication performance, while existing cryptographic key distribution protocols based on ghost imaging have many shortcomings. Here, based on computational ghost imaging, we propose an interactive protocol that enables multi-party cryptographic key distribution over a public network and self-authentication by setting an intermediary that shares partial roles of the server. This fragment-synthesis-based authentication method may facilitate the remote distribution of cryptographic keys.
description: 10 pages, 6 figures