cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Dynamical prediction of flu seasonality driven by ambient temperature: influenza vs. common cold
Creators: name: Postnikov, Eugene B.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Classical Analysis and ODEs (math.CA)
subject: Dynamical Systems (math.DS)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Biological sciences
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: This work presents a comparative analysis of Influenzanet data for influenza itself and common cold in the Netherlands during the last 5 years, from the point of view of modelling by linearised SIRS equations parametrically driven by the ambient temperature. It is argued that this approach allows for the forecast of common cold, but not of influenza in a strict sense. The difference in their kinetic models is discussed with reference to the clinical background.
description: 6 pages, 5 figures
The Potential Role of a Hydrogen Network in Europe
Creators: name: Neumann, Fabian
name: Zeyen, Elisabeth
name: Victoria, Marta
name: Brown, Tom
Publisher: name: arXiv
Year: 2022
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Electricity transmission expansion has suffered many delays in Europe in recent decades, despite its significance for integrating renewable electricity into the energy system. A hydrogen network which reuses the existing fossil gas network could not only help to supply demand for low-emission fuels, but could also to balance variations in wind and solar energy across the continent and thus avoid power grid expansion. We pursue this idea by varying the allowed expansion of electricity and hydrogen grids in net-zero CO2 scenarios for a sector-coupled and self-sufficient European energy system with high shares of renewables. We cover the electricity, buildings, transport, agriculture, and industry sectors across 181 regions and model every third hour of a year. With this high spatio-temporal resolution, the model can capture bottlenecks in transmission networks, the variability of demand and renewable supply, as well as regional opportunities for the retrofitting of legacy gas infrastructure and the development of geological hydrogen storage. Our results show consistent system cost reductions with a pan-continental hydrogen network that connects regions with low-cost and abundant renewable potentials to demand centres, synthetic fuel production and cavern storage sites. Developing a hydrogen network reduces system costs by up to 26 billion Euros per year (3.4%), with the highest benefits when electricity grid reinforcements cannot be realised. Between 64% and 69% of this network could be built from repurposed natural gas pipelines. However, we find that hydrogen networks can only partially substitute for power grid expansion. While the expansion of both networks together can achieve the largest cost savings of 10%, the expansion of neither is truly essential as long as higher costs can be accepted and regulatory changes are made to manage grid bottlenecks.
description: including supplementary material
Diseño de un sistema de gestión para el control de inventarios en la empresa electrónica Frank "R"
Creators: name: Ramírez Mena, Neyffee J
name: Ramos Maury, Katerine
Publisher: name: Universidad de Cartagena
Year: 2016
Subjects: Control de inventarios
Electrónica Frank "R" - Control de inventarios

description: Tesis (Administrador de Empresas).--Universidad de Cartagena. Facultad de Ciencias Económicas. Programa de Administración de Empresas, 2016
description: El objetivo de esta investigación busca definir estrategias e indicadores de gestión de inventario que incluya la rotación de mercancías, duración de mercancías y exactitud del inventario para cada clasificación ABC que mejoren el manejo y control del inventario.
Neuronal growth on high-aspect-ratio diamond nanopillar arrays for biosensing applications
Creators: name: Losero, Elena
name: Jagannath, Somanath
name: Pezzoli, Maurizio
name: Goblot, Valentin
name: Babashah, Hossein
name: Lashuel, Hilal A.
name: Galland, Christophe
name: Quack, Niels
Publisher: name: arXiv
Year: 2022
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: Applied Physics (physics.app-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: Monitoring neuronal activity with simultaneously high spatial and temporal resolution in living cell cultures is crucial to advance understanding of the development and functioning of our brain, and to gain further insights in the origin of brain disorders. While it has been demonstrated that the quantum sensing capabilities of nitrogen-vacancy (NV) centers in diamond allow real time detection of action potentials from large neurons in marine invertebrates, quantum monitoring of mammalian neurons (presenting much smaller dimensions and thus producing much lower signal and requiring higher spatial resolution) has hitherto remained elusive. In this context, diamond nanostructuring can offer the opportunity to boost the diamond platform sensitivity to the required level. However, a comprehensive analysis of the impact of a nanostructured diamond surface on the neuronal viability and growth was lacking. Here, we pattern a single crystal diamond surface with large-scale nanopillar arrays and we successfully demonstrate growth of a network of living and functional primary mouse hippocampal neurons on it. Our study on geometrical parameters reveals preferential growth along the nanopillar grid axes with excellent physical contact between cell membrane and nanopillar apex. Our results suggest that neuron growth can be tailored on diamond nanopillars to realize a nanophotonic quantum sensing platform for wide-field and label-free neuronal activity recording with sub-cellular resolution.
description: 26 pages. 10 figures
Quantum cloning attacks against PUF-based quantum authentication systems
Creators: name: Yao, Yao
name: Gao, Ming
name: Li, Mo
name: Zhang, Jian
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: With the advent of Physical Unclonable Functions (PUFs), PUF-based quantum authentication systems (QAS) have been proposed for security purposes and recently proof-of-principle experiment has been demonstrated. As a further step towards completing the security analysis, we investigate quantum cloning attacks against PUF-based quantum authentication systems and prove that quantum cloning attacks outperform the so-called challenge-estimation attacks. We present the analytical expression of the false accept probability by use of the corresponding optimal quantum cloning machines and extend the previous results in the literature. In light of these findings, an explicit comparison is made between PUF-based quantum authentication systems and quantum key distribution (QKD) protocols in the context of cloning attacks. Moreover, from an experimental perspective, a trade-off between the average photon number and the detection efficiency is discussed in detail.
description: 15 pages, 4 figures
Die Kritik am Zweiten Vatikanischen Konzil in der heutigen Literatur
Creators: name: Colaianni, Nicola
Publisher: name: Concilium
Year: 1970

description: Concilium, Bd. 19 Nr. 8/9 (1983): Concilium: Internationale Zeitschrift für Theologie, Band 19, Heft 8/9
title: „Motivated attention“ bezüglich stark untergewichtiger Frauenkörper bei Patientinnen mit Anorexia nervosa – Ereigniskorrelierte Potentiale vs. subjektive Angaben
Creators: name: Horndasch, Stefanie
name: Heinrich, Hartmut
name: Kratz, Oliver
name: Moll, Gunther
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Bei Patientinnen mit Anorexia nervosa (AN) wurde mittels verschiedener Methoden eine sogenannte „Cue reactivity“ in Reaktion auf untergewichtige Frauenkörper beobachtet und mit der hohen motivationalen Bedeutung dieser Körper für AN-Patientinnen begründet.[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Nonlinear Hebbian learning as a unifying principle in receptive field formation
Creators: name: Brito, Carlos S. N.
name: Gerstner, Wulfram
Publisher: name: arXiv
Year: 2016
Subjects: subject: Neurons and Cognition (q-bio.NC)
subject: Machine Learning (cs.LG)
subject: FOS: Biological sciences
subject: FOS: Computer and information sciences

description: The development of sensory receptive fields has been modeled in the past by a variety of models including normative models such as sparse coding or independent component analysis and bottom-up models such as spike-timing dependent plasticity or the Bienenstock-Cooper-Munro model of synaptic plasticity. Here we show that the above variety of approaches can all be unified into a single common principle, namely Nonlinear Hebbian Learning. When Nonlinear Hebbian Learning is applied to natural images, receptive field shapes were strongly constrained by the input statistics and preprocessing, but exhibited only modest variation across different choices of nonlinearities in neuron models or synaptic plasticity rules. Neither overcompleteness nor sparse network activity are necessary for the development of localized receptive fields. The analysis of alternative sensory modalities such as auditory models or V2 development lead to the same conclusions. In all examples, receptive fields can be predicted a priori by reformulating an abstract model as nonlinear Hebbian learning. Thus nonlinear Hebbian learning and natural statistics can account for many aspects of receptive field formation across models and sensory modalities.
Buckyball-metal complexes as promising carriers of astronomical unidentified infrared emission bands
Creators: name: Hou, Gao-Lei
name: Lushchikova, Olga V.
name: Bakker, Joost M.
name: Lievens, Peter
name: Decin, Leen
name: Janssens, Ewald
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences
subject: 85-05, 85-11

description: Infrared emission bands with wavelengths between 3-20 μm are observed in a variety of astrophysical environments [1,2]. They were discovered in the 1970s and are generally attributed to organic compounds [3,4]. However, over 40 years of research efforts still leave the source of these emission bands largely unidentified [5-7]. Here, we report the first laboratory infrared (6-25 μm) spectra of gas-phase fullerene-metal complexes, [C60-Metal]+ (Metal = Fe and V), and show with density functional theory calculations that complexes of C60 with cosmically abundant metals, including Li, Na, K, Mg, Ca, Al, V, and Fe, all have similar infrared spectral patterns. Comparison with observational infrared spectra from several fullerene-rich planetary nebulae demonstrates a strong positive linear cross-correlation. The infrared features of [C60-Metal]+ coincide with four bands attributed earlier to neutral C60 bands, and in addition also with several to date unexplained bands. Abundance and collision theory estimates furthermore indicate that [C60-Metal]+ could plausibly form and survive in astrophysical environments. Hence, [C60-Metal]+ are proposed as promising carriers, in supplement to C60, of astronomical infrared emission bands, potentially representing the largest molecular species in space other than the bare fullerenes C60, C60+, and C70. This work opens a new chapter for studying cosmic fullerene species and carbon chemistry in the Universe.
description: 45 pages (23 pages for main text and 22 pages for supplementary information) 21 figures (10 figures for main text and 11 figures for supplementary information) 6 tables (1 tables for main text and 5 tables for supplementary information)
title: Der Einfluss metabolischer Veränderungen auf die Verarbeitung von Nahrungsreizen bei übergewichtigen Frauen nach erfolgreicher und nicht erfolgreicher Gewichtsabnahme
Creators: name: Simon, Joe
name: Skunde, Mandy
name: Hamze-Sinno, Maria
name: Becker, Alexandra
name: Wetzel, Anne
name: Preissl, Hubert
name: Bendszus, Martin
name: Herzog, Wolfgang
name: Friederich, Hans-Christoph
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Ein besseres Verständnis der Mechanismen, die einer erfolgreichen Stabilisierung des Gewichts nach Gewichtsreduktion übergewichtiger Personen entgegenwirken, ist eine wichtige Voraussetzung für die Entwicklung alternativer medikamentöser und psychotherapeutischer Therapieansätze.[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Improving sleep duration in healthcare workers
Creators: name: Reyes, Andrew
Publisher: name: No Publisher Supplied
Year: 2023

description: Purpose of Project: The prevalence of sleep disturbances and sleep disorders for healthcare workers is a growing concern. The purpose of this DNP project was to implement a multimodal sleep program for healthcare workers to screen, improve, and evaluate sleep hygiene status and sleep duration over three weeks. Methodology: A quasi-experimental study design was used to determine the prevalence and characteristics of sleep hygiene behaviors and sleep duration among healthcare workers between June 20, 2022, and December 31, 2022, at an outpatient multispecialty medical group. The intervention consisted of a video module, prompt self-monitoring, and three weeks of lifestyle modifications and environmental restructuring. Participant sleep duration and sleep hygiene before and after the intervention were measured using a pretest/posttest design utilizing the Sleep Hygiene Index (SHI) tool. Results: A total of 124 participants completed the pretest survey and 110 participants completed both the pretest and posttest surveys. There was a statistically significant (p < 0.05) increase in participants’ self-reported number of hours slept per night and pretest/posttest total SHI scores. Additionally, there was a significant correlation between ethnicity and sleep duration. Implications for Practice: The findings support the need to implement work-based interventions to improve healthcare workers’ sleep hygiene. The project identified opportunities to recognize disparities in sleep health by occupation group and ethnicity.
Review Paper on Heart Attack Prediction System Using ML
Creators: name: Parineeta Dattatray Varute, Samruddhi Sanjay Nikam, Tanisha Parag Karekar, Samruddhi Bhimrao Metil, Chaitrali J. Chougule
Publisher: name: Zenodo
Year: 2025

description: Heart disease are a leading cause of death worldwide, making early detection critical for effectiveintervention. This project aims to develop a machine learning (ML) model to predict the likelihood of aheart attack based on various health and lifestyle parameters. The system features an interactive front-endapplication powered by Gradio, allowing users to input relevant health metrics and receive real-timepredictions. The ML model is trained using key algorithms such as Logistic Regression, Random Forest,and Gradient Boosting (XGBoost), validated on popular datasets like the UCI Heart Disease and Kaggle’sHeart Attack Analysis datasets. Additionally, advanced pre-trained generative models (LLMs) likeGemini are integrated to provide personalized lifestyle recommendations and explain predictions innatural language. The system outputs heart attack risk classifications, interpretable insights oncontributing factors, and actionable health advice to help users reduce their risk. By leveraging real-timefeedback, model explainability, and multimodal integration, this system aims to improve early detectionand empower users to make informed decisions about their heart health. The platform outputs riskclassifications as low, medium, or high, along with actionable insights into the most significantcontributing factors. By combining predictive accuracy, explainability, and personalized guidance, thesystem empowers users to make informed decisions about their heart health. It also providesrecommendations to adopt healthier lifestyle practices, such as dietary adjustments, increased physicalactivity, and stress management strategies. By harnessing the power of ML, real-time feedback, andnatural language processing, this system represents a significant step forward in the domain of predictivehealthcare. It has the potential to bridge the gap between early detection and proactive intervention,ultimately reducing the burden of heart disease on individuals and healthcare systems.
title: Taste processing and associations with psychological symptoms in patients suffering from Anorexia Nervosa
Creators: name: Burkert, Nathalie
name: Koschutnig, Karl
name: Ebner, Franz
name: Freidl, Wolfgang
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Background: Eating disorders (EDs) are among the most widely spread and most severe mental diseases in Western countries. Individuals suffering from anorexia nervosa (AN) show functional alterations in cortical regions which are implicated in the regulation of feeding behaviour. Therefore, the aim of[for full text, please go to the a.m. URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Super-Spin Chains for 6D SCFTs
Creators: name: Baume, Florent
name: Heckman, Jonathan J.
name: Lawrie, Craig
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Nearly all 6D superconformal field theories (SCFTs) have a partial tensor branch description in terms of a generalized quiver gauge theory consisting of a long one-dimensional spine of quiver nodes with links given by conformal matter; a strongly coupled generalization of a bifundamental hypermultiplet. For theories obtained from M5-branes probing an ADE singularity, this was recently leveraged to extract a protected large R-charge subsector of operators, with operator mixing controlled at leading order in an inverse large R-charge expansion by an integrable spin $s$ Heisenberg spin chain, where $s$ is determined by the $\mathfrak{su}(2)_{R}$ R-symmetry representation of the conformal matter operator. In this work, we show that this same structure extends to the full superconformal algebra $\mathfrak{osp}(6,2|1)$. In particular, we determine the corresponding Bethe ansatz equations which govern this super-spin chain, as well as distinguished subsectors which close under operator mixing. Similar considerations extend to 6D little string theories (LSTs) and 4D $\mathcal{N} = 2$ SCFTs with the same generalized quiver structures.
description: 35 pages + appendices, 7 figures. v2: minor clarifications; published version
Single-pixel 3D imaging with time-based depth resolution
Creators: name: Sun, Ming-Jie
name: Edgar, Matthew. P.
name: Gibson, Graham M.
name: Sun, Baoqing
name: Radwell, Neal
name: Lamb, Robert
name: Padgett, Miles J.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Time-of-flight three dimensional imaging is an important tool for many applications, such as object recognition and remote sensing. Unlike conventional imaging approach using pixelated detector array, single-pixel imaging based on projected patterns, such as Hadamard patterns, utilises an alternative strategy to acquire information with sampling basis. Here we show a modified single-pixel camera using a pulsed illumination source and a high-speed photodiode, capable of reconstructing 128x128 pixel resolution 3D scenes to an accuracy of ~3 mm at a range of ~5 m. Furthermore, we demonstrate continuous real-time 3D video with a frame-rate up to 12 Hz. The simplicity of the system hardware could enable low-cost 3D imaging devices for precision ranging at wavelengths beyond the visible spectrum.
description: 10 pages, 6 figures
Das ökumenische Konzil im neuen Kirchenrechtskodex
Creators: name: Komonchak, Joseph A.
Publisher: name: Concilium
Year: 1970

description: Concilium, Bd. 19 Nr. 8/9 (1983): Concilium: Internationale Zeitschrift für Theologie, Band 19, Heft 8/9
title: Hometreatment bei Jugendlichen mit Essstörungen
Creators: name: Pauli, Dagmar
name: Hilti, Nadine
name: Schräer, Christiane
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Hometreatment ist eine Methode zur Intensivierung der ambulanten Arbeit mit dem Ziel, die Jugendlichen im familiären Umfeld zu behandeln, stationäre Aufenthalte zu verkürzen oder möglichst ganz zu vermeiden. Neu wurde an unserer Klinik ein störungsspezifisches Hometreatment[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Partition of kinetic energy and magnetic moment in dissipative diamagnetism
Creators: name: Kaur, Jasleen
name: Ghosh, Aritra
name: Bandyopadhyay, Malay
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this paper, we analyze dissipative diamagnetism, arising due to dissipative cyclotron motion in two dimensions, in the light of the quantum counterpart of energy equipartition theorem. We consider a charged quantum particle moving in a harmonic well, in the presence of a uniform magnetic field, and coupled to a quantum heat bath which is taken to be composed of an infinite number of independent quantum oscillators. The quantum counterpart of energy equipartition theorem tells us that it is possible to express the mean kinetic energy of the dissipative oscillator as a two-fold average, where, the first averaging is performed over the Gibbs canonical state of the heat bath while the second one is governed by a probability distribution function $P_k(ω)$. We analyze this result further, and also demonstrate its consistency in the weak-coupling limit. Following this, we compute the equilibrium magnetic moment of the system, and reveal an interesting connection with the quantum counterpart of energy equipartition theorem. The expressions for kinetic energy and magnetic moment are reformulated in the context of superstatistics, i.e. the superposition of two statistics. A comparative study of the present results with those obtained from the more traditional Gibbs approach is performed and a perfect agreement is obtained.
description: v1: Preliminary version: 11 pages, 5 figures; v2: Minor changes; v3: Substantial changes, figures changed, new section added, title modified; v4: To appear in Physica A
On-chip, self-detected THz dual-comb spectrometer
Creators: name: Rösch, Markus
name: Scalari, Giacomo
name: Villares, Gustavo
name: Bosco, Lorenzo
name: Beck, Mattias
name: Faist, Jérôme
Publisher: name: arXiv
Year: 2016
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We present a directly generated on-chip dual-comb source at THz frequencies. The multi-heterodyne beating signal of two free-running THz quantum cascade laser frequency combs is measured electrically using one of the combs as a detector, fully exploiting the unique characteristics of quantum cascade active regions. Up to 30 modes can be detected corresponding to a spectral bandwidth of 630 GHz, being the available bandwidth of the dual comb configuration. The multi-heterodyne signal is used to investigate the equidistance of the comb modes showing an accuracy of $10^{-12}$ at the carrier frequency of 2.5 THz.
Tunable Carrier Multiplication and Cooling in Graphene
Creators: name: Johannsen, Jens C.
name: Ulstrup, Søren
name: Crepaldi, Alberto
name: Cilento, Federico
name: Zacchigna, Michele
name: Miwa, Jill A.
name: Cacho, Cephise
name: Chapman, Richard T.
name: Springate, Emma
name: Fromm, Felix
name: Raidel, Christian
name: Seyller, Thomas
name: King, Phil D. C.
name: Parmigiani, Fulvio
name: Grioni, Marco
name: Hofmann, Philip
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Time- and angle-resolved photoemission measurements on two doped graphene samples displaying different doping levels reveal remarkable differences in the ultrafast dynamics of the hot carriers in the Dirac cone. In the more strongly ($n$-)doped graphene, we observe larger carrier multiplication factors ($>$ 3) and a significantly faster phonon-mediated cooling of the carriers back to equilibrium compared to in the less ($p$-)doped graphene. These results suggest that a careful tuning of the doping level allows for an effective manipulation of graphene's dynamical response to a photoexcitation.
description: 17 pages, 3 figures
Detecting coherence with respect to general quantum measurements
Creators: name: Chen, Yu-Cheng
name: Cheng, Jiong
name: Zhang, Wen-Zhao
name: Zhang, Cheng-Jie
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum coherence is a crucial resource in quantum resource theory. Previous study mainly focused on standard coherence under a complete orthogonal reference basis. The standard coherence has recently been extended to general positive-operator-valued measure (POVM)-based coherence, including block coherence as a special case. Therefore, it is necessary to construct block coherence and POVM-based coherence witnesses to detect them. In this work, we present witnesses for block coherence and POVM-based coherence, and obtain the necessary and sufficient conditions for arbitrary block coherence and POVM-based coherence witnesses. We also discuss possible realizations of some block coherence and POVM-based coherence witnesses in experiments, and present examples of measuring block coherence witnesses based on real experimental data. Furthermore, an application of block coherence witnesses has been presented in a quantum parameter estimation task with a degenerate Hamiltonian, and one can estimate the unknown parameter by measuring our block coherence witnesses if the input state is block coherent. Lase but not least, we prove that the quantum Fisher information of any block incoherent state is equal to zero, which coincides with the result from measuring block coherence witnesses.
description: 7 pages, 1 figure
Der Einfluß des Ersten Vatikanischen Konzils im Codex Iuris Canonici von 1917
Creators: name: Metz, René
Publisher: name: Concilium
Year: 1970

description: Concilium, Bd. 19 Nr. 8/9 (1983): Concilium: Internationale Zeitschrift für Theologie, Band 19, Heft 8/9
title: Im Auge des Betrachters? – Zwei Experimentalerhebungen zur transdiagnostischen Erfassung und Induzierbarkeit eines aussehensbezogenen Interpretationsbias bei körperdysmorpher Symptomatik
Creators: name: Dietel, Fanny Alexandra
name: Möbius, Martin
name: Foege, Siena
name: Buhlmann, Ulrike
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Kognitiv-behaviorale Modelle der körperdysmorphen Störung (KDS) betonen die Wichtigkeit negativer Interpretationsbiases bzgl. ambiguer, aussehensbezogener Situationen in der Störungsgenese und –aufrechterhaltung (z.B. Buhlmann & Wilhelm, 2004). Es ist jedoch unklar,[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Consistency of effective field theory analyses of the BOSS power spectrum
Creators: name: Simon, Théo
name: Zhang, Pierre
name: Poulin, Vivian
name: Smith, Tristan L.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We assess the robustness of $Λ$CDM results from the full-shape analysis of BOSS power spectrum using the one-loop prediction of the Effective Field Theory of Large-Scale Structure (EFTofLSS). The public likelihoods PyBird and CLASS-PT lead to results in agreement only at the $1σ$ level, despite the fact that they are derived from the same BOSS dataset and theory model. We perform a thorough comparison of the various analyses choices made between the two pipelines, and identify that the differences come from the choice of prior on the EFT parameters, dubbed "West-coast" (WC) and "East-coast" (EC) prior, respectively associated to PyBird and CLASS-PT. In particular, because posteriors are non-Gaussian, projection effects from the marginalization over the EFT parameters shift the posterior mean of the cosmological parameters with respect to the best-fit up to $1σ$ in the WC prior and up to $2σ$ in the EC prior. We quantify that best-fit cosmological parameters extracted from BOSS given the two prior choices are consistent at $\sim 1σ$. The consistency improves to $\sim 0.5σ$ when doubling the prior widths. While this reveals that current EFT analyses are subject to prior effects, we show that cosmological results obtained in combination with CMB, or from forthcoming large-volume data, are less sensitive to those effects. In addition, we investigate differences between BOSS measurements. We find broad agreements across all pre-reconstructed measurements considered ($<0.6σ$), but the two available BOSS post-reconstructed measurements in Fourier space, once combined with the EFT full-shape analysis, lead to discrepant Hubble parameter $H_0$ at $\sim 0.9σ$. Given the various effects we discuss, we argue that the clustering amplitude $σ_8$ measured with BOSS is not in statistical tension with that inferred from Planck under $Λ$CDM.
description: 17 + 7 pages, 10 figures. Comments welcome!
Campodea (Campodea) majorica subsp. interjecta Conde 1955
Creators: name: Sendra, Alberto
name: Reboleira, Ana Sofia P. S.
Publisher: name: Zenodo
Year: 2020
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Diplura
Campodeidae
Campodea
Campodea majorica
Campodea (campodea) majorica interjecta condé, 1955

description: Campodea (Campodea) majorica interjecta Condé, 1955
Campodea (Campodea) majorica interjecta Condé, 1955b: 122, fig. 1c.
Differential diagnosis from the f. typ. (Condé 1955b)
Urotegite VI with 1+1 or 0+1 lp macrosetae.
description: Published as part of Sendra, Alberto & Reboleira, Ana Sofia P. S., 2020, Euro-Mediterranean fauna of Campodeinae (Campodeidae, Diplura), pp. 1-130 in European Journal of Taxonomy 728 on page 44, DOI: 10.5852/ejt.2020.728.1181, http://zenodo.org/record/4316883
An MHD avalanche model of multi-threaded coronal loop
Creators: name: Hood, A. W.
name: Cargill, P. J.
name: Browning, P. K.
name: Tam, K. V.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: For the first time, we demonstrate how an MHD avalanche might occur in a multi-threaded coronal loop. Considering 23 non-potential magnetic threads within a loop, we use 3D MHD simulations to show that only one thread needs to be unstable in order to start an avalanche even when the others are below marginal stability. This has significant implications for coronal heating in that it provides for energy dissipation with a trigger mechanism. The instability of the unstable thread follows the evolution determined in many earlier investigations. However, once one stable thread is disrupted, it coalesces with a neighbouring thread and this process disrupts other nearby threads. Coalescence with these disrupted threads then occurs leading to the disruption of yet more threads as the avalanche develops. Magnetic energy is released in discrete bursts as the surrounding stable threads are disrupted. The volume integrated heating, as a function of time, shows short spikes suggesting that the temporal form of the heating is more like that of \textit{nanoflares} than of constant heating.
description: 7 pages, 8 figures and accepted by ApJ
title: Self-serving bias bei der Gesichtswahrnehmung – Unterscheiden sich körperdysmorphe Störung, Bulimie und eine gesunde Kontrollgruppe?
Creators: name: Kollei, Ines
name: Horndasch, Stefanie
name: Yesim, Erim
name: Martin, Alexandra
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Die körperdysmorphe Störung (KDS) und Essstörungen können als Störungen des Körperbildes konzeptualisiert werden. Die Fokussierung der Aufmerksamkeit auf subjektive Makel im eigenen Aussehen wird bei KDS und auch bei Essstörungen als aufrechterhaltender[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
title: Verzerrte Informationsverarbeitung bei Essstörungen: Ein Symptom oder ein ätiologischer Faktor? Eine experimentelle Online-Untersuchung zur Erfassung und Induktion eines Interpretationsbias
Creators: name: Hartmann, Andrea S.
name: Dietel, Fanny
name: Eurich, Isabel
name: Karls, Maren
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: Kognitiv-behaviorale Theorien postulieren kognitive Verzerrungen, beispielsweise Interpretationsbias, im Sinne einer Dominanz der Überbewertung von Figur und Gewicht als zentral für die Aufrechterhaltung von Essstörungen. Nur wenige Studien haben die charakteristische Verarbeitung[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
title: Körperliche Alltagsaktivität, Essstörungssymptome und Entscheidungsverhalten vor und nach Adipositaschirurgie
Creators: name: Müller, Astrid
name: Bartsch, Merle
name: Langenberg, Svenja
name: Gruner-Labitzke, Kerstin
name: Schulze, Mareike
name: Marschollek, Michael
name: De Zwaan, Martina
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Hintergrund: In der Literatur wurde über einen positiven Zusammenhang zwischen körperlicher Alltagsaktivität (KA) und Exekutivfunktionen, einschließlich Entscheidungsverhalten, berichtet. Joseph et al. [ref:1] postulierten ein Modell, wonach eine höhere KA mit einem[zum vollständigen Text gelangen Sie über die oben angegebene URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
title: Trait food craving predicts consumption of high-calorie foods in obese, but not normal-weight children and adolescents
Creators: name: Meule, Adrian
name: Hofmann, Johannes
name: Weghuber, Daniel
name: Ardelt-Gattinger, Elisabeth
name: Blechert, Jens
Publisher: name: German Medical Science GMS Publishing House
Year: 2016
Subjects: subject: 610 Medical sciences; Medicine

description: Background: Research in adults suggests that obese individuals with trait binge eating represent a hedonic subtype with higher implicit wanting, craving and preference for and intake of high-fat sweet foods as compared to obese individuals without trait binge eating. The current study tested whether[for full text, please go to the a.m. URL]
description: 5. Wissenschaftlicher Kongress der Deutschen Gesellschaft für Essstörungen
Supplementary Information from Exploiting node metadata to predict interactions in bipartite networks using graph embedding and neural networks
Creators: name: Runghen, Rogini
name: Stouffer, Daniel B.
name: Dalla Riva, Giulio V.
Publisher: name: The Royal Society
Year: 2022
Subjects: subject: Statistics
subject: FOS: Mathematics
subject: 10199 Pure Mathematics not elsewhere classified
subject: 10299 Applied Mathematics not elsewhere classified

description: Networks are increasingly used in various fields to represent systems with the aim of understanding the underlying rules governing observed interactions, and hence predict how the system is likely to behave in the future. Recent developments in network science highlight that accounting for node metadata improves both our understanding of how nodes interact with one another, and the accuracy of link prediction. However, to predict interactions in a network within existing statistical and machine learning frameworks, we need to learn objects that rapidly grow in dimension with the number of nodes. Thus, the task becomes computationally and conceptually challenging for networks. Here, we present a new predictive procedure combining a statistical, low-rank graph embedding method with machine learning techniques which reduces substantially the complexity of the learning task and allows us to efficiently predict interactions from node metadata in bipartite networks. To illustrate its application on real-world data, we apply it to a large dataset of tourist visits across a country. We found that our procedure accurately reconstructs existing interactions and predicts new interactions in the network. Overall, both from a network science and data science perspective, our work offers a flexible and generalizable procedure for link prediction.
WiFi Based Distance Estimation Using Supervised Machine Learning
Creators: name: Kostas, Kahraman
name: Kostas, Rabia Yasa
name: Zampella, Francisco
name: Alsehly, Firas
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In recent years WiFi became the primary source of information to locate a person or device indoor. Collecting RSSI values as reference measurements with known positions, known as WiFi fingerprinting, is commonly used in various positioning methods and algorithms that appear in literature. However, measuring the spatial distance between given set of WiFi fingerprints is heavily affected by the selection of the signal distance function used to model signal space as geospatial distance. In this study, the authors proposed utilization of machine learning to improve the estimation of geospatial distance between fingerprints. This research examined data collected from 13 different open datasets to provide a broad representation aiming for general model that can be used in any indoor environment. The proposed novel approach extracted data features by examining a set of commonly used signal distance metrics via feature selection process that includes feature analysis and genetic algorithm. To demonstrate that the output of this research is venue independent, all models were tested on datasets previously excluded during the training and validation phase. Finally, various machine learning algorithms were compared using wide variety of evaluation metrics including ability to scale out the test bed to real world unsolicited datasets.
description: 8 pages, 9 figures, 5 table. Accepted by 2022 International Conference on Indoor Positioning and Indoor Navigation (IPIN), 5 - 7 Sep. 2022, Beijing, China
Critic2: A program for real-space analysis of quantum chemical interactions in solids
Creators: name: Otero de la Roza, Alberto
name: Johnson, Erin R.
name: Luaña, V.
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 340701
subject: Computational chemistry
classificationCode: 340704
subject: Theoretical quantum chemistry

description: We present critic2, a program for the analysis of quantum-mechanical atomic and molecular interactions in periodic solids. This code, a greatly improved version of the previous critic program (Otero-de-la Roza et al., 2009), can: (i) find critical points of the electron density and related scalar fields such as the electron localization function (ELF), Laplacian, . . . (ii) integrate atomic properties in the framework of Bader’s Atoms-in-Molecules theory (QTAIM), (iii) visualize non-covalent interactions in crystals using the non-covalent interactions (NCI) index, (iv) generate relevant graphical representations including lines, planes, gradient paths, contour plots, atomic basins, . . . and (v) perform transformations between file formats describing scalar fields and crystal structures. Critic2 can interface with the output produced by a variety of electronic structure programs including WIEN2k, elk, PI, abinit, Quantum ESPRESSO, VASP, Gaussian, and, in general, any other code capable of writing the scalar field under study to a three-dimensional grid. Critic2 is parallelized, completely documented (including illustrative test cases) and publicly available under the GNU General Public License.
Frobenius-norm-based measures of quantum coherence and asymmetry
Creators: name: Yao, Yao
name: Dong, G. H.
name: Xiao, Xing
name: Sun, C. P.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We formulate the Frobenius-norm-based measures for quantum coherence and asymmetry respectively. In contrast to the resource theory of coherence and asymmetry, we construct a natural measure of quantum coherence inspired from optical coherence theory while the group theoretical approach is employed to quantify the asymmetry of quantum states. Besides their simple structures and explicit physical meanings, we observe that these quantities are intimately related to the purity (or linear entropy) of the corresponding quantum states. Remarkably, we demonstrate that the proposed coherence quantifier is not only a measure of mixedness, but also an intrinsic (basis-independent) quantification of quantum coherence contained in quantum states, which can also be viewed as a normalized version of Brukner-Zeilinger invariant information. In our context, the asymmetry of N-qubit quantum systems is considered under local independent and collective SU(2) transformations. Intriguingly, it is illustrated that the collective effect has a significant impact on the asymmetry measure, and quantum correlation between subsystems plays a non-negligible role in this circumstance.
description: 13 pages and no figures
Determinación de un modelo para la distribución objetiva de los CIF en la compañía Polyban Internacional S. A.
Creators: name: Mejía Vega, Gloria Patricia
name: Doria Villarreal, Lina Milena
Publisher: name: Universidad de Cartagena
Year: 2007
Subjects: Industria y comercio; Productividad industrial; Calidad de los servicios - Polyban internacional s.a; Trabajo - Productividad; Análisis de costos

description: Tesis (Contador Público) -- Universidad de Cartagena. Facultad de Ciencias Económicas. Programa de Contaduría Pública, 2007
description: El presente estudio tiene por objeto proponer un modelo de costos, para la distribución objetiva de los CIF en la compañía Polyban Internacional, con el fin de lograr una mejor asignación de este elemento del costo de producción y que permita a la gerencia contar con una herramienta efectiva para la toma de decisiones
Mantle formation, coagulation and the origin of cloud/core shine: I. Modelling dust scattering and absorption in the infra-red
Creators: name: Jones, A. P.
name: Koehler, M.
name: Ysard, N.
name: Dartois, E.
name: Godard, M.
name: Gavilan, L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Context. The observed cloudshine and coreshine (C-shine) have been explained in terms of grain growth leading to enhanced scatter- ing from clouds in the J, H and K photometric bands and the Spitzer IRAC 3.6 and 4.5 μm bands. Aims. Using our global dust modelling approach THEMIS (The Heterogeneous dust Evolution Model at the IaS) we explore the effects of dust evolution in dense clouds, through aliphatic-rich carbonaceous mantle formation and grain-grain coagulation. Methods. We model the effects of wide band gap a-C:H mantle formation and the low-level aggregation of diffuse interstellar medium dust in the moderately-extinguished outer regions of molecular clouds. Results. The formation of wide band gap a-C:H mantles on amorphous silicate and amorphous carbon (a-C) grains leads to a decrease in their absorption cross-sections but no change in their scattering cross-sections at near-IR wavelengths, resulting in higher albedos. Conclusions. The evolution of dust, with increasing density and extinction in the diffuse to dense molecular cloud transition, through mantle formation and grain aggregation, appears to be a likely explanation for the observed C-shine.
description: 12 pages, 15 figures, accepted for publication in A&A along with the companion paper entitled, Mantle formation, coagulation and the origin of cloud/core shine: II Comparison with observations, by Ysard et al. (also accepted for publication in A&A)
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
Creators: name: Gemelli, Andrea
name: Biswas, Sanket
name: Civitelli, Enrico
name: Lladós, Josep
name: Marinai, Simone
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Geometric Deep Learning has recently attracted significant interest in a wide range of machine learning fields, including document analysis. The application of Graph Neural Networks (GNNs) has become crucial in various document-related tasks since they can unravel important structural patterns, fundamental in key information extraction processes. Previous works in the literature propose task-driven models and do not take into account the full power of graphs. We propose Doc2Graph, a task-agnostic document understanding framework based on a GNN model, to solve different tasks given different types of documents. We evaluated our approach on two challenging datasets for key information extraction in form understanding, invoice layout analysis and table detection. Our code is freely accessible on https://github.com/andreagemelli/doc2graph.
description: TiE ECCV 2022
Weakly Supervised Airway Orifice Segmentation in Video Bronchoscopy
Creators: name: Keuth, Ron
name: Heinrich, Mattias
name: Eichenlaub, Martin
name: Himstedt, Marian
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: Video bronchoscopy is routinely conducted for biopsies of lung tissue suspected for cancer, monitoring of COPD patients and clarification of acute respiratory problems at intensive care units. The navigation within complex bronchial trees is particularly challenging and physically demanding, requiring long-term experiences of physicians. This paper addresses the automatic segmentation of bronchial orifices in bronchoscopy videos. Deep learning-based approaches to this task are currently hampered due to the lack of readily-available ground truth segmentation data. Thus, we present a data-driven pipeline consisting of a k-means followed by a compact marker-based watershed algorithm which enables to generate airway instance segmentation maps from given depth images. In this way, these traditional algorithms serve as weak supervision for training a shallow CNN directly on RGB images solely based on a phantom dataset. We evaluate generalization capabilities of this model on two in-vivo datasets covering 250 frames on 21 different bronchoscopies. We demonstrate that its performance is comparable to those models being directly trained on in-vivo data, reaching an average error of 11 vs 5 pixels for the detected centers of the airway segmentation by an image resolution of 128x128. Our quantitative and qualitative results indicate that in the context of video bronchoscopy, phantom data and weak supervision using non-learning-based approaches enable to gain a semantic understanding of airway structures.
description: 5 Pages, 2 figures, only supplemental file, submitted to SPIE MI