cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Encoding of direct 4D printing of isotropic single-material system for double-curvature and multimodal morphing
Creators: name: Zou, Bihui
name: Song, Chao
name: He, Zipeng
name: Ju, Jaehyung
Publisher: name: arXiv
Year: 2022
Subjects: subject: Graphics (cs.GR)
subject: FOS: Computer and information sciences

description: The ability to morph flat sheets into complex 3D shapes is extremely useful for fast manufacturing and saving materials while also allowing volumetrically efficient storage and shipment and a functional use. Direct 4D printing is a compelling method to morph complex 3D shapes out of as-printed 2D plates. However, most direct 4D printing methods require multi-material systems involving costly machines. Moreover, most works have used an open-cell design for shape shifting by encoding a collection of 1D rib deformations, which cannot remain structurally stable. Here, we demonstrate the direct 4D printing of an isotropic single-material system to morph 2D continuous bilayer plates into doubly curved and multimodal 3D complex shapes whose geometry can also be locked after deployment. We develop an inverse-design algorithm that integrates extrusion-based 3D printing of a single-material system to directly morph a raw printed sheet into complex 3D geometries such as a doubly curved surface with shape locking. Furthermore, our inverse-design tool encodes the localized shape-memory anisotropy during the process, providing the processing conditions for a target 3D morphed geometry. Our approach could be used for conventional extrusion-based 3D printing for various applications including biomedical devices, deployable structures, smart textiles, and pop-up Kirigami structures.
Additional file 1 of Recruiting men from across the socioeconomic spectrum via GP registers and community outreach to a weight management feasibility randomised controlled trial
Creators: name: McDonald, Matthew D.
name: Dombrowski, Stephan U.
name: Skinner, Rebecca
name: Calveley, Eileen
name: Carroll, Paula
name: Elders, Andrew
name: Gray, Cindy M.
name: Grindle, Mark
name: Harris, Fiona M.
name: Jones, Claire
name: Hoddinott, Pat
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 1. Game of Stones Three-month Qualitative Interview Topic Guide.
Using Psychographic Data to Study Differences in Sugar-Sweetened Beverages and Fruits and Vegetables Consumption Across Income Groups: A Bayesian Approach
Creators: name: Priestley, Samuel L.
name: Priestley, Samuel L.
Publisher: name: Unknown
Year: 2022
Subjects: subject: Food Consumption/Nutrition/Food Safety
subject: Marketing
subject: FOS: Economics and business
subject: Research Methods/Statistical Methods

description: Presentation 24515
Direct kinetic Alfvén wave energy cascade in the presence of imbalance
Creators: name: Passot, T.
name: Sulem, P. L.
name: Laveder, D.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Space Physics (physics.space-ph)
subject: FOS: Physical sciences

description: A two-field Hamiltonian gyrofluid model for kinetic Alfvén waves retaining ion finite Larmor radius corrections and parallel magnetic field fluctuations is used to study direct turbulent cascades from the MHD to the sub-ion scales. For moderate energy imbalance and weak enough magnetic fluctuations, the spectrum of the transverse magnetic field and that of the most energetic wave display a steep transition zone near the ion scale, while the parallel transfer (and thus the parallel dissipation) remains weak. In this regime, the perpendicular flux of generalized cross helicity displays a significant decay past the ion scale, while the perpendicular energy flux remains almost constant. A phenomenological model suggests that the interactions between co-propagative waves present at the sub-ion scales can play a central role in the development of a transition zone in the presence of a helicity barrier.
description: 17 pages, 12 figures
Experimental analysis and transient numerical simulation of a large diameter pulsating heat pipe in microgravity conditions
Creators: name: Abela, Mauro
name: Mameli, Mauro
name: Nikolayev, Vadim
name: Filippeschi, Sauro
Publisher: name: arXiv
Year: 2022
Subjects: subject: Classical Physics (physics.class-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: A multi-parametric transient numerical simulation of the start-up of a large diameter Pulsating Heat Pipe (PHP) specially designed for future experiments on the International Space Station (ISS) are compared to the results obtained during a parabolic flight campaign supported by the European Space Agency. Since the channel diameter is larger than the capillary limit in normal gravity, such a device behaves as a loop thermosyphon on ground and as a PHP in weightless conditions; therefore, the microgravity environment is mandatory for pulsating mode. Because of a short duration of microgravity during a parabolic flight, the data concerns only the transient start-up behavior of the device. One of the most comprehensive models in the literature, namely the in-house 1-D transient code CASCO (French acronym for Code Avanc{é} de Simulation du Caloduc Oscillant: Advanced PHP Simulation Code in English), has been configured in terms of geometry, topology, material properties and thermal boundary conditions to model the experimental device.The comparison between numerical and experimental results is performed simultaneously on the temporal evolution of multiple parameters: tube wall temperature, pressure and, wherever possible, velocity of liquid plugs, their length and temperature distribution within them. The simulation results agree with the experiment for different input powers. Temperatures are predicted with a maximum deviation of 7%. Pressure variation trend is qualitatively captured as well as the liquid plug velocity, length and temperature distribution. The model also shows the ability of capturing the instant when the fluid pressure begins to oscillate after the heat load is supplied, which is a fundamental information for the correct design of the engineering model that will be tested on the ISS. We also reveal the existence of strong liquid temperature gradients near the ends of liquid plugs both experimentally and by simulation. Finally, a theoretical prediction of the stable functioning of a large diameter PHP in microgravity is given. Results show that the system provided with an input power of 185W should be able to reach the steady state after 1min and maintain a stable operation from then on.
Contrastive Supervised Distillation for Continual Representation Learning
Creators: name: Barletti, Tommaso
name: Biondi, Niccolo'
name: Pernici, Federico
name: Bruni, Matteo
name: Del Bimbo, Alberto
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this paper, we propose a novel training procedure for the continual representation learning problem in which a neural network model is sequentially learned to alleviate catastrophic forgetting in visual search tasks. Our method, called Contrastive Supervised Distillation (CSD), reduces feature forgetting while learning discriminative features. This is achieved by leveraging labels information in a distillation setting in which the student model is contrastively learned from the teacher model. Extensive experiments show that CSD performs favorably in mitigating catastrophic forgetting by outperforming current state-of-the-art methods. Our results also provide further evidence that feature forgetting evaluated in visual retrieval tasks is not as catastrophic as in classification tasks. Code at: https://github.com/NiccoBiondi/ContrastiveSupervisedDistillation.
description: Paper published as Oral and awarded as Best Student Paper at ICIAP21
Superfluid density and collective modes of fermion superfluid in dice lattice
Creators: name: Wu, Yu-Rong
name: Zhang, Xiao-Fei
name: Liu, Chao-Fei
name: Liu, Wu-Ming
name: Zhang, Yi-Cai
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The superfluid properties of attractive Hubbard model in dice lattice are investigated. It is found that three superfluid order parameters increase as the interaction increases. When the filling factor falls into the flat band, due to the infinite large density of states, the resultant superfluid order parameters are proportional to interaction strength, which is in striking contrast with the exponentially small counterparts in usual superfluid (or superconductor). When the interaction is weak, and the filling factor is near the bottom of the lowest band (or the top of highest band), the superfluid density is determined by the effective mass of the lowest (or highest) single-particle band. When the interaction is strong and filling factor is small, the superfluid density is inversely proportional to interaction strength, which is related to effective mass of tightly bound pairs. In the strong interaction limit and finite filling, the asymptotic behaviors of superfluid density can be captured by a parabolic function of filling factor. Furthermore, when the filling is in flat band, the superfluid density shows a logarithmic singularity as the interaction approaches zero. In addition, there exist three undamped collective modes for strong interactions. The lowest excitation is gapless phonon, which is characterized by the total density oscillations. The two others are gapped Leggett modes, which correspond relative density fluctuations between sublattices. The collective modes are also reflected in the two-particle spectral functions by sharp peaks. Furthermore, it is found that the two-particle spectral functions satisfy an exact sum-rule, which is directly related to the filling factor (or density of particle). The sum-rule of the spectral functions may be useful to distinguish between the hole-doped and particle-doped superfluid (superconductor) in experiments.
Additional file 1 of Evidence of a wide gap between COVID-19 in humans and animal models: a systematic review
Creators: name: Salleh N. Ehaideb
name: Mashan L. Abdullah
name: Bisher Abuyassin
name: Bouchama, Abderrezak
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases

description: Additional file 1. Data extraction, appraisal, and outcome.
Learnable Optimal Sequential Grouping for Video Scene Detection
Creators: name: Rotman, Daniel
name: Yaroker, Yevgeny
name: Amrani, Elad
name: Barzelay, Udi
name: Ben-Ari, Rami
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Video scene detection is the task of dividing videos into temporal semantic chapters. This is an important preliminary step before attempting to analyze heterogeneous video content. Recently, Optimal Sequential Grouping (OSG) was proposed as a powerful unsupervised solution to solve a formulation of the video scene detection problem. In this work, we extend the capabilities of OSG to the learning regime. By giving the capability to both learn from examples and leverage a robust optimization formulation, we can boost performance and enhance the versatility of the technology. We present a comprehensive analysis of incorporating OSG into deep learning neural networks under various configurations. These configurations include learning an embedding in a straight-forward manner, a tailored loss designed to guide the solution of OSG, and an integrated model where the learning is performed through the OSG pipeline. With thorough evaluation and analysis, we assess the benefits and behavior of the various configurations, and show that our learnable OSG approach exhibits desirable behavior and enhanced performance compared to the state of the art.
Additional file 2 of Evidence of a wide gap between COVID-19 in humans and animal models: a systematic review
Creators: name: Salleh N. Ehaideb
name: Mashan L. Abdullah
name: Bisher Abuyassin
name: Bouchama, Abderrezak
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Neuroscience
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases

description: Additional file 2. List of excluded studies.
title: From nowhere to now-here: online and offline belonging identity negotiations of millennial Poles in Glasgow, Scotland
Creators: name: Uflewska, Agnieszka Katarzyna
Publisher: name: University of Glasgow
Year: 2018

description: This thesis addresses a combination of offline and online factors influencing negotiations of a belonging identity among millennials. Born between mid-1980s and 1990s, the millennials constitute the first generation to negotiate their belonging identity amidst local and internet mediated social interactions (Howe & Strauss 2000: 4). Drawing on the experiences of 46 millennial Poles located in Glasgow, Scotland, and using a mixture of social identity theory (Tajfel & Turner 1979), symbolic interactionism (Cooley 2005; Mead 1982; 1967; Goffman 1959) and postmodern interpretations (Bauman 2011; 2007; 2004a; 2004b), I examine the millennials’ experiences in negotiating their belonging identity across virtual and real-life locations by applying a qualitative and culturally tailored methodology, including semi-structured, open-ended interviews. The key research questions address the nature, process, and challenges inherent in negotiations of belonging identity, including the manner millennial Poles in Glasgow experience the contemporary multicultural and multilocal environments. The data is analyzed according to the emerging themes, such as the role of family and education system in Poland, as well as the impact of online interactions that enhance and broaden the belonging identity negotiation. Particularly, the digital (hyperlocal) dimension points to the emergence of a novel type of time-bound belonging, a now-here identity, which stands in a stark contrast to the previous, spatially-based conceptualizations, including that of the nowhere belonging of Bauman (2007; 2004b). Additionally, the thesis challenges the dominant metanarrative of ‘migrant’, it being the omnipresent stigmatizing moniker for non-citizen residents. Applying an intersectional perspective (Crenshaw 1989; 1991; Collins 2015; 1990; 1986), the research exposes in particular the ethnic and class discrimination encoded into the word ‘migrant’, with its connotations of a lesser-value identity (Klekowski von Koppenfels 2014) and non-belonging. The research also enhances transnational, networks and mobilities theories by applying social identity theory and symbolic interactionism into analyses of experiences of migration, and thereby challenges the prevalent citizenship identity discourse by highlighting instead the diversity of multicultural and multilocal affiliations. In regards to methodological contributions, the research emphasizes the significance of culturally sensitive and individually tailored methodology that acknowledges cultural subjectivity and is aware of a variety of interpretations. The research advocates a development of non-discriminatory theoretical and methodological approaches that recognize ongoing social and cultural changes brought by digitalization of information and the emergence of multilocalities.
Killing metrized commutative nonassociative algebras associated with Steiner triple systems
Creators: name: Fox, Daniel J. F.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics

description: With each Steiner triple system there is associated a one-parameter family of commutative, nonassociative, nonunital algebras that are by construction exact, meaning that the trace of every multiplication operator vanishes, and these algebras are shown to be Killing metrized, meaning the Killing type trace-form is nondegenerate and invariant (Frobenius), and simple, except for certain parameter values. The definition of these algebras resembles that of the Matsuo algebra of the Steiner triple system, but they are different. For a Hall triple system, the associated algebra is a primitive axial algebra for a $\mathbb{Z}/2\mathbb{Z}$-graded fusion law.
Additional file 1 of Increased glucose metabolism in Arid5b−/− skeletal muscle is associated with the down-regulation of TBC1 domain family member 1 (TBC1D1)
Creators: name: Okazaki, Yuri
name: Murray, Jennifer
name: Ehsani, Ali
name: Clark, Jessica
name: Whitson, Robert H.
name: Hirose, Lisa
name: Yanaka, Noriyuki
name: Itakura, Keiichi
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Physiology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 20199 Astronomical and Space Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: 60506 Virology
subject: Computational Biology

description: Additional file 1: Additional figures.
Search for Black Holes in the Galactic Halo by Gravitational Microlensing
Creators: name: Blaineau, Tristan
name: Moniez, Marc
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Black hole-like objects with mass greater than $10 M_{\odot}$, as discovered by gravitational antennas, can produce long time-scale (several years) gravitational microlensing effects. Considered separately, previous microlensing surveys were insensitive to such events because of their limited duration of 6-7 years. We combined light curves from the EROS-2 and MACHO surveys to the Large Magellanic Cloud (LMC) to create a joint database for 14.1 million stars, covering a total duration of 10.6 years, with fluxes measured through 4 wide passbands. We searched for multi-year microlensing events in this catalog of extended light curves, complemented by 24.1 million light curves observed by only one of the surveys. Our analysis, combined with previous analysis from EROS, shows that compact objects with mass between $10^{-7}$ and $200 M_{\odot}$ can not constitute more than $\sim 20\%$ of the total mass of a standard halo (at $95\%$ CL). We also exclude that $\sim 50\%$ of the halo is made of Black Holes (BH) lighter than $1000 M_{\odot}$.
description: 6 pages, 6 figures. arXiv admin note: text overlap with arXiv:2202.13819
Givers of great dinners know few enemies: The impact of household food sufficiency and food sharing behavior on low-intensity, interhousehold conflict in eastern Democratic Republic of Congo
Creators: name: Fatema, Naureen
name: Fatema, Naureen
Publisher: name: Unknown
Year: 2022
Subjects: Food Consumption/Nutrition/Food Safety
Institutional and Behavioral Economics
International Development

description: Presentation 24565
Sales-Weighted Online Agricultural Commodity Price Index: Using Sales and Price Data web-scraped from Online Grocery Stores in South Korea
Creators: name: Kim, Yong J.
name: Kim, Yong J.
Publisher: name: Unknown
Year: 2022
Subjects: subject: Agribusiness
subject: Agricultural and Food Policy
subject: Marketing
subject: FOS: Economics and business

description: Presentation 24567
Electron Microscopic Investigation of Superconducting Fe- and Cu-based Thin Films
Creators: name: Grünewald, Lukas
Publisher: name: Karlsruher Institut für Technologie (KIT)
Year: 2022
Subjects: Superconductor
Thin film
REBCO
Ba122
Iron-based superconductor
PLD
CSD
TEM
SEM
EDXS
EELS

description: Superconducting materials enable lossless current transport, bringing them into focus for technical applications. Particularly relevant are epitaxially grown thin films of high-temperature superconductors, like the Fe- and Cu-based materials Ba(Fe$_{0.92}$Co$_{0.08}$)$_{2}$As$_{2}$ (Ba122) and REBa$_{2}$Cu$_{3}$O$_{7-δ}$ (REBCO, with rare-earth elements, REs, such as Y, Sm, Gd, ..., and the O non-stoichiometry δ). A central goal of current research is to improve the current-carrying capacity of superconducting thin films for improved coated-conductor technology. Non-superconducting defects of suitable shape and size (typically a few nanometers) play an essential role in superconductivity, as they prevent the unwanted movement of magnetic flux lines (“flux pinning”). However, the controlled fabrication of such defects is difficult since several fabrication parameters influence defect formation. In this work, scanning (transmission) electron microscopy (S(T)EM) in combination with energy dispersive x-ray spectroscopy (EDXS) and electron energy loss spectroscopy (EELS) was applied for a better understanding of the film growth and defect formation.
Generative Models for Reproducible Coronary Calcium Scoring
Creators: name: van Velzen, Sanne G. M.
name: de Vos, Bob D.
name: Noothout, Julia M. H.
name: Verkooijen, Helena M.
name: Viergever, Max A.
name: Išgum, Ivana
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Purpose: Coronary artery calcium (CAC) score, i.e. the amount of CAC quantified in CT, is a strong and independent predictor of coronary heart disease (CHD) events. However, CAC scoring suffers from limited interscan reproducibility, which is mainly due to the clinical definition requiring application of a fixed intensity level threshold for segmentation of calcifications. This limitation is especially pronounced in non-ECG-synchronized CT where lesions are more impacted by cardiac motion and partial volume effects. Therefore, we propose a CAC quantification method that does not require a threshold for segmentation of CAC. Approach: Our method utilizes a generative adversarial network where a CT with CAC is decomposed into an image without CAC and an image showing only CAC. The method, using a CycleGAN, was trained using 626 low-dose chest CTs and 514 radiotherapy treatment planning CTs. Interscan reproducibility was compared to clinical calcium scoring in radiotherapy treatment planning CTs of 1,662 patients, each having two scans. Results: A lower relative interscan difference in CAC mass was achieved by the proposed method: 47% compared to 89% manual clinical calcium scoring. The intraclass correlation coefficient of Agatston scores was 0.96 for the proposed method compared to 0.91 for automatic clinical calcium scoring. Conclusions: The increased interscan reproducibility achieved by our method may lead to increased reliability of CHD risk categorization and improved accuracy of CHD event prediction.
description: In press
Systematic bias due to eccentricity in parameter estimation for merging binary neutron stars
Creators: name: Cho, Hee-Suk
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We study the impact of eccentricity on gravitational-wave parameter estimation for binary neutron star systems. For signals with small eccentricity injected into the advanced LIGO sensitivity, we perform Bayesian parameter estimation using the circular waveform model and show how the recovered parameters can be biased from their true values, focusing on the intrinsic parameters the chirp mass ($M_c$), the symmetric mass ratio ($η$), and the tidal deformability ($\tildeλ$). By comparing the results between the Bayesian and the analytic Fisher-Cutler-Vallisneri (FCV) methods, we obtain the valid criteria for the FCV approach. Employing the FCV method and using the realistic population of binary neutron star sources distributed in the $m_1$-$m_2$-$e_0$ space, where $e_0$ indicates the eccentricity at 10Hz, we calculate the measurement errors ($σ_θ$) and the systematic biases ($Δθ/σ_θ$) and obtain their generalized distributions in the range of $0 \leq e_0 \leq 0.025$. We find that for all of the three parameters, the biases increase with increasing $e_0$, and this increase is faster for larger $e_0$. The bias is mainly dependent on the value of $e_0$ and weakly dependent on the component masses, and thus the distribution shows a narrow band in the $e_0$-$Δθ/σ_θ$ plane. We present various posterior examples to illustrate our new findings, such as the bimodality of posteriors. In particular, we give a specific injection-recovery example to demonstrate the importance of including eccentricity in parameter estimation to avoid incorrect predictions of the neutron star equation of state.
description: 16 pages, 18 figures, version published in PRD
title: Studies on the kinome of Plasmodium falciparum and biochemical characterization of atypical protein kinases
Creators: name: Equinet, Leila
Publisher: name: University of Glasgow
Year: 2004
Subjects: subject: Developmental biology, parasitology.

description: Despite promising results on efficient vaccine and the development of effective new drugs, malaria continues to kill more than 1-2 million of people each year, and resistance to drugs has become a pressing problem. In the context of new drug discovery, it is important to identify key regulators of the development of the human malaria parasite, Plasmodium falciparum. P. falciparum has a complex life cycle consisting of a succession of ' developmental stages. Some of these stages are characterised by intense cell divisions, while others undergo differentiation accompanied by cell cycle arrest. Eukaryotic protein kinases (ePKs) form a large family of enzymes with crucial roles in such cellular processes; hence malarial ePK represent potential drug targets. The availability of a genomic database for P. falciparum had permited a systematic analysis of the entire complement of protein kinases encoded in the genome (the so-called "kinome"). The resulting plasmodial kinase set was classified into eukaryotic protein kinase families. During this analysis, a novel subfamily of twenty protein kinases unrelated to any of the ePK families was identified and called FIKK. This new family, localized in subtelomeric regions of the P. falciparum chromosomes, is conserved in the Apicomplexa phylum, but no homologues were found in other organisms so far. The phylogenetic studies of P. falciparum kinases confirmed the presence of two genes encoding atypical CDK(cycin-dependent kinases)-related kinases in the genome, Pfcrk-3 and Pfcrk-4. Comparison of their sequences to those of CDKs from other organisms revealed that in addition to large extensions, Pfcrk-3 and Pfcrk-4 possess two large insertions within the catalytic domain. These extensions and insertions were shown to be expressed in the parasite. The characterisation of these proteins (the FDCK family, Pfcrk-3 and Pfcrk-4) lead to the conclusion that in standard conditions of kinase assay experiments, these proteins do not display any kinase activity in vitro. However, protein-protein interaction studies showed that Pfcrk-3 and Pfcrk-4 are part of in complexes, which display kinase activity.
Chronogram figures and files
Creators: name: Anderson, Rika
Publisher: name: figshare
Year: 2022
Subjects: subject: Geology
subject: FOS: Earth and related environmental sciences
subject: 60102 Bioinformatics
subject: FOS: Computer and information sciences
subject: 60408 Genomics
subject: FOS: Biological sciences
subject: 60504 Microbial Ecology

description: This contains all of the data, R code, and finished figures for each of the chronograms included in this study. All chronograms included here used the "conservative" calibration points. Chronograms created using three different clock models (UGAM, CIR and lognormal) are included here.
Additional file 1 of An operative barrier system for skull base and mastoid surgery: creating a safe operative theatre in the era of COVID-19
Creators: name: Cottrell, Justin
name: Lui, Justin
name: Le, Trung
name: Chen, Joseph
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Additional information describing equipment, the barrier assembly, and additional contamination results without the barrier system.
Improved Cardiac Arrhythmia Prediction Based on Heart Rate Variability Analysis
Creators: name: Parsi, Ashkan
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: Many types of ventricular and atrial cardiac arrhythmias have been discovered in clinical practice in the past 100 years, and these arrhythmias are a major contributor to sudden cardiac death. Ventricular tachycardia, ventricular fibrillation, and paroxysmal atrial fibrillation are the most commonly-occurring and dangerous arrhythmias, therefore early detection is crucial to prevent any further complications and reduce fatalities. Implantable devices such as pacemakers are commonly used in patients at high risk of sudden cardiac death. While great advances have been made in medical technology, there remain significant challenges in effective management of common arrhythmias. This thesis proposes novel arrhythmia detection and prediction methods to differentiate cardiac arrhythmias from non-life-threatening cardiac events, to increase the likelihood of detecting events that may lead to mortality, as well as reduce the incidence of unnecessary therapeutic intervention. The methods are based on detailed analysis of Heart Rate Variability (HRV) information. The results of the work show good performance of the proposed methods and support the potential for their deployment in resource-constrained devices for ventricular and atrial arrhythmia prediction, such as implantable pacemakers and defibrillators.
description: PhD thesis
Nuclear $\text{C}(e,e'p)$ Transparencies in a Relativistic Glauber Model
Creators: name: Cosyn, Wim
name: Ryckebusch, Jan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Nuclear Theory (nucl-th)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: In light of the recent Jefferson Laboratory (JLab) data for the nuclear $^{12}\text{C}(e,e'p)$ transparencies, calculations, obtained in a relativistic multiple scattering Glauber approximation, are discussed. The shell-separated $^{12}$C transparencies are shown and it is concluded that the $p$-shell nucleons are 75\% more transparent than the $s$-shell ones. The presented comparisons between the calculations made here and the current $^{12}\text{C}(e,e'p)$ data show no clear indication for the onset of color transparency when implemented within the color diffusion model with standard parameters.
description: 5 pages, 2 figures. Matches published version in Special Issue "The Future of Color Transparency, Hadronization and Short-Range Nucleon-Nucleon Correlation Studies". Based on a talk given at the workshop "The Future of Color Transparency and Hadronization Studies at Jefferson Lab and Beyond"
Additional file 1 of Developing and implementing guidelines on culturally adapting the Addenbrooke’s cognitive examination version III (ACE-III): a qualitative illustration
Creators: name: Waquas Waheed
name: Mirza, Nadine
name: Waheed, Muhammed Wali
name: Malik, Abid
name: Panagioti, Maria
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Evolutionary Biology
subject: Ecology
subject: Developmental Biology
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 1: Supplementary Material- Appendix A1. Sample Questionnaire- “Cultural adaptation process of the Italian ACE-III”.
Additional file 2 of Developing and implementing guidelines on culturally adapting the Addenbrooke’s cognitive examination version III (ACE-III): a qualitative illustration
Creators: name: Waquas Waheed
name: Mirza, Nadine
name: Waheed, Muhammed Wali
name: Malik, Abid
name: Panagioti, Maria
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Evolutionary Biology
subject: Ecology
subject: Developmental Biology
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 2: Supplementary Material- Appendix A2. The first edition of our guidelines on translating and culturally adapting the ACE-III.
Additional file 3 of Developing and implementing guidelines on culturally adapting the Addenbrooke’s cognitive examination version III (ACE-III): a qualitative illustration
Creators: name: Waquas Waheed
name: Mirza, Nadine
name: Waheed, Muhammed Wali
name: Malik, Abid
name: Panagioti, Maria
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Evolutionary Biology
subject: Ecology
subject: Developmental Biology
subject: Cancer
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 3: Supplementary Material- Appendix A3. Table on ‘Proposed ACE-III questions developed from the guidelines’.
Improving Fairness in Graph Neural Networks via Mitigating Sensitive Attribute Leakage
Creators: name: Wang, Yu
name: Zhao, Yuying
name: Dong, Yushun
name: Chen, Huiyuan
name: Li, Jundong
name: Derr, Tyler
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Cryptography and Security (cs.CR)
subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: Graph Neural Networks (GNNs) have shown great power in learning node representations on graphs. However, they may inherit historical prejudices from training data, leading to discriminatory bias in predictions. Although some work has developed fair GNNs, most of them directly borrow fair representation learning techniques from non-graph domains without considering the potential problem of sensitive attribute leakage caused by feature propagation in GNNs. However, we empirically observe that feature propagation could vary the correlation of previously innocuous non-sensitive features to the sensitive ones. This can be viewed as a leakage of sensitive information which could further exacerbate discrimination in predictions. Thus, we design two feature masking strategies according to feature correlations to highlight the importance of considering feature propagation and correlation variation in alleviating discrimination. Motivated by our analysis, we propose Fair View Graph Neural Network (FairVGNN) to generate fair views of features by automatically identifying and masking sensitive-correlated features considering correlation variation after feature propagation. Given the learned fair views, we adaptively clamp weights of the encoder to avoid using sensitive-related features. Experiments on real-world datasets demonstrate that FairVGNN enjoys a better trade-off between model utility and fairness. Our code is publicly available at https://github.com/YuWVandy/FairVGNN.
«Sotto ristretta legge ragionato abbiamo». Èthos e nòmos nel Decameron
Creators: name: Cappelletti, Cristina
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2017
Subjects: IUS/20 Filosofia del diritto

description: [«Sotto ristretta legge ragionato abbiamo». Èthos and nòmos in Decameron]. Law, rule and infringement are some of the key points in the analysis of Decameron. Boccaccio’s tales are set in a period in which there were not laws. The pestilence perturbs the city of Florence; the judges and the public administrators were killed by pestilence, so human and divine laws disappeared. This article makes an enquiry about the meaning of law in the most famous Boccaccio’s work. In Decameron we can distinguish four types of laws: human, divine, natural, and a literary law, which regulate the tales (modus novellandi).
Spatial regularity of the young stellar population in spiral arms of late type galaxies NGC 895, NGC 5474, and NGC 6946
Creators: name: Gusev, Alexander S.
name: Shimanovskaya, Elena V.
name: Zaitseva, Nataliya A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We investigate the spatial regularity in the distribution of the young stellar population along spiral arms of three late type spiral galaxies: NGC 895, NGC 5474, and NGC 6946. This study is based on an analysis of photometric properties of spiral arms using {\it GALEX} ultraviolet, optical UBVRI, Halpha, and 8mum {IRAC} infrared surface photometry data. Using the Fourier analysis approach, we found features of spatial regularity or quasi-regularity in the distribution of the young stellar population or (and) regular chains of star formation regions in all arms of NGC 895, NGC 5474, and NGC 6946 with characteristic scales of spacing from 350 to 500 pc in different arms, and (or) scales which are multiples of them. These characteristic scales are close to the those found earlier in NGC 628, NGC 6217, and M100.
description: 13 pages, 9 figures, 3 tables. Accepted for publication in MNRAS
El derecho procesal en el arte, el cine, la literatura y la musica. Una primera lección para neófitos
Creators: name: Rodríguez Álvarez, Ana
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2017
Subjects: IUS/20 Filosofia del diritto

description: [Procedural Law in Art, Literature, Cinema and Music: A first lesson for beginners]. This paper shows, through different examples, how Art, Literature, Cinema and Music reflect Procedural Law. Its aim is to become a first lesson for beginners.
Influenze manzoniane nelle pagine di Ignazio Silone. Innaturalità della giustizia
Creators: name: Capuzza, Vittorio
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2018
Subjects: IUS/20 Filosofia del diritto

description: [The Manzoni’s influence on the works by Ignazio Silone. The justice innaturality] The essay aims to analyse two Silone’s novels, Fontamara and The Secret of Luca, to trace how Manzoni influenced these works through images and scenes that Silone took from The Betrothed. Result is that Silone and Manzoni focused on the same subject: the ease with which man transforms the justice in legal order and, thanks to the legal formalism, for-gets virtue. Law thus becomes a mere instrument to goal exclusive interests and passions.
Neural Bandit with Arm Group Graph
Creators: name: Qi, Yunzhe
name: Ban, Yikun
name: He, Jingrui
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Contextual bandits aim to identify among a set of arms the optimal one with the highest reward based on their contextual information. Motivated by the fact that the arms usually exhibit group behaviors and the mutual impacts exist among groups, we introduce a new model, Arm Group Graph (AGG), where the nodes represent the groups of arms and the weighted edges formulate the correlations among groups. To leverage the rich information in AGG, we propose a bandit algorithm, AGG-UCB, where the neural networks are designed to estimate rewards, and we propose to utilize graph neural networks (GNN) to learn the representations of arm groups with correlations. To solve the exploitation-exploration dilemma in bandits, we derive a new upper confidence bound (UCB) built on neural networks (exploitation) for exploration. Furthermore, we prove that AGG-UCB can achieve a near-optimal regret bound with over-parameterized neural networks, and provide the convergence analysis of GNN with fully-connected layers which may be of independent interest. In the end, we conduct extensive experiments against state-of-the-art baselines on multiple public data sets, showing the effectiveness of the proposed algorithm.
description: Accepted to SIGKDD 2022
D 5.4 ‘Report of the comparative analysis of the correlation between topics emergent from 
 regional discourses on the one hand, and the awareness and perceptions of the EU (from Eurobarometer) on the other hand’
Creators: name: Barberio, Vitaliano
name: Calia, Pinuccia
name: Kuric, Ines
name: Mollona, Edoardo
name: Pareschi, Luca
Publisher: name: Alma Mater Studiorum - Università di Bologna
Year: 2018
Subjects: SECS-P/07 Economia aziendale
SECS-P/08 Economia e gestione delle imprese
SECS-P/10 Organizzazione aziendale
SPS/04 Scienza politica
SPS/08 Sociologia dei processi culturali e comunicativi
SPS/11 Sociologia dei fenomeni politici

description: The report at hand focuses on the statistical test of an eventual relationship between media representation of EU regional cohesion policy, among other explanatory variables, and individuals’ level of European identification as well as their different definitions of being European.
At present time, it is largely acknowledged that individuals do not possess an innate sense of being European, rather, the meaning of such status is socially constructed. Accordingly, extant research has explored the role of the media in shaping the opinions of the general public. However, only recently has research started focusing on the potential role of cohesion policy in shaping EU identity and many aspects of this phenomenon are still unexplored.
We claim that by extending knowledge in this still unfolding area our work contributes to the wider debate on European identity in several ways:
a) by performing a media analysis in seven different countries we offer one of the first international evidences as most of the media analyses are conducted in individual national contexts;
b) our study is based on a large ad-hoc designed survey which allows us to capture so far largely overlooked aspects of EU identity such as the multiplicity and synchronicity of levels – i.e. individual, regional and national – in a way that Eurobarometer-based research could not do so far;
c) our survey also allowed us to explore in unprecedented depth the factors associated with different definitions of being European;
d) we analyse media in a bottom-up way, that is, without using pre-coded frames of valence characterising most of extant research;
e) along with standard interpretive techniques, we use formal methods for representing national media spaces such as topic modelling and sentiment analysis. We believe that this mixed method approach makes our study more replicable than purely qualitative ones, still, nuances and complexities of extracting meaning from text are better preserved than purely quantitative studies;
Performance Metrics of Kanade-Lucas-Tomasi (KLM) filters on Users’ Perception of Graphic Images through Data Generated from Pupillary Response
Creators: name: Isiaka, Fatima
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 460199
subject: Applied computing not elsewhere classified
classificationCode: 460802
subject: Affective computing
classificationCode: 460806
subject: Human-computer interaction
classificationCode: 460807
subject: Information visualisation
classificationCode: 460809
subject: Pervasive computing

description: Most research focuses on determining the correlates of pupil dilation and constriction to changes in light intensity in contrast to bright and grey images of a visual interface and found that pupil response is highly correlated to high cognitive response related to problem-solving, which is the same as the response to strong light intensity. An experiment was conducted with the consent of forty participants whose pupil response was recorded in video frames in response to image stimuli, the aim was to generate response data while comparing their pupil response to bright and colored images to its greyscale version. The result indicates that bright and colored pictures are more appealing and preferable to their grey version and the pupil tends to dilate in reaction to comprehension. This is as opposed to using changes in light intensity and gives a novel definition to the cognitive response of users to a simple stimulus through pupillary response. The proposed model would help in generating response data that would be used in designing prototypical analytics for accessing and predicting users’ responses to visual images and optimisation of visual aesthetics and cognitive elucidations.
Self-supervised graph neural networks for accurate prediction of Néel temperature
Creators: name: Kong, Jian-Gang
name: Li, Qing-Xu
name: Li, Jian
name: Liu, Yu
name: Zhu, Jia-Ji
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: Antiferromagnetic materials are exciting quantum materials with rich physics and great potential for applications. It is highly demanded of the accurate and efficient theoretical method for determining the critical transition temperatures, Néel temperatures, of antiferromagnetic materials. The powerful graph neural networks (GNN) that succeed in predicting material properties lose their advantage in predicting magnetic properties due to the small dataset of magnetic materials, while conventional machine learning models heavily depend on the quality of material descriptors. We propose a new strategy to extract high-level material representations by utilizing self-supervised training of GNN on large-scale unlabeled datasets. According to the dimensional reduction analysis, we find that the learned knowledge about elements and magnetism transfers to the generated atomic vector representations. Compared with popular manually constructed descriptors and crystal graph convolutional neural networks, self-supervised material representations can help us obtain a more accurate and efficient model for Néel temperatures, and the trained model can successfully predict high Néel temperature antiferromagnetic materials. Our self-supervised GNN may serve as a universal pre-training framework for various material properties.
description: 7 pages, 6 figures, 2 tables
Amtliche Mitteilungen der Technischen Universität Dortmund Nr.22/2020
Creators: name: (:Unkn) Unknown
Publisher: name: Technische Universität Dortmund
Year: 2020
Subjects: subject: 080

description: Prüfungsordnung für den Masterstudiengang Architektur und Städtebau der Fakultät Architektur und Bauingenieurwesen an der Technischen Universität Dortmund vom 17. September 2020
description: Prüfungsordnung für den Masterstudiengang Immobilien- und Baumanagement der Fakultät Architektur und Bauingenieurwesen an der Technischen Universität Dortmund vom 17. September 2020
description: Prüfungsordnung für den Masterstudiengang Bauingenieurwesen der Fakultät Architektur und Bauingenieurwesen an der Technischen Universität Dortmund vom 17. September 2020
description: Amtliche Mitteilungen der Technischen Universität Dortmund;2020, 22