bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Fe2O3/Al addition on the neutron shielding, microstructure, thermal, and mechanical properties of HDPE composites
Authors: Reda A M , Kansouh W A , Eid E A 
Published: April 2022

Abstract
High-density polyethylene (HDPE) has been reinforced with various ratios of iron oxide (α-Fe2O3) and aluminum (Al) nanoparticles (NPs) to be used as shielding materials against nuclear radiation. The examination of scanning electron microscopy images (SEM) reveals small polymeric agglomerations besides the uniform dispersion of Al and α-Fe2O3 NPs. Also, all stress parameters (

i
.e

σ

Y

,

σ

M

,
a
n
d

σ

f

) decremented after incorporating the 40 wt% α-Fe2O3 NPs into the HDPE matrix. Meanwhile, the mutual additions of Al powder with α-Fe2O3 NPs in samples P2 (30% α-Fe2O3/10% Al) and P3 (20% α-Fe2O3/20% Al) led to improving the tensile parameters. These results may be due to the physical reactions between α-Fe2O3 NPs and Al powder and polymeric chains. Generally, the polymeric materials are characterized as low-cost and lightweight compared to standard shielding materials. The fast neutrons and gamma-rays shielding properties of the prepared samples were experimentally measured using a shielded 239Pu-Be source and stilbene detector. The neutron removal cross-section (

∑

R

) and gamma-ray liner attenuation coefficient (μ), in addition to the mean free path (MFP) and the half-value layer (HVL) for the prepared samples, have been calculated. The results showed that the nanocomposite containing 40% iron oxide had improved the neutron and gamma-ray shielding properties compared to the pure HDPE and other prepared nanocomposites. The values of MFP and HVL indicate that the prepared nanocomposites can be used for shielding gamma-rays and neutrons from radioactive isotopes and from other nuclear radiation facilities compared to common shielding materials such as concrete.
QUBIC II: Spectral polarimetry with bolometric interferometry
Authors: Mousset L. , Gamboa Lerena M.M. , Battistelli E.S. , de Bernardis P. , Chanial P. , D'Alessandro G. , Dashyan G. , De Petris M. , Grandsire L. , Hamilton J.-Ch. , Incardona F. , Landau S. , Marnieros S. , Masi S. , Mennella A. , O'Sullivan C. , Piat M. , Ricciardi G. , Scóccola C.G. , Stolpovskiy M. , Tartari A. , Thermeau J.-P. , Torchinsky S.A. , Voisin F. , Zannoni M. , Ade P. , Alberro J.G. , Almela A. , Amico G. , Arnaldi L.H. , Auguste D. , Aumont J. , Azzoni S. , Banfi S. , Baù A. , Bélier B. , Bennett D. , Bergé L. , Bernard J.-Ph. , Bersanelli M. , Bigot-Sazy M.-A. , Bonaparte J. , Bonis J. , Bunn E. , Burke D. , Buzi D. , Cavaliere F. , Chapron C. , Charlassier R. , Cobos Cerutti A.C. , Columbro F. , Coppolecchia A. , De Gasperis G. , De Leo M. , Dheilly S. , Duca C. , Dumoulin L. , Etchegoyen A. , Fasciszewski A. , Ferreyro L.P. , Fracchia D. , Franceschet C. , Ganga K.M. , García B. , García Redondo M.E. , Gaspard M. , Gayer D. , Gervasi M. , Giard M. , Gilles V. , Giraud-Heraud Y. , Gómez Berisso M. , González M. , Gradziel M. , Hampel M.R. , Harari D. , Henrot-Versillé S. , Jules E. , Kaplan J. , Kristukat C. , Lamagna L. , Loucatos S. , Louis T. , Maffei B. , Mandelli S. , Marty W. , Mattei A. , May A. , McCulloch M. , Mele L. , Melo D. , Montier L. , Mundo L.M. , Murphy J.A. , Murphy J.D. , Nati F. , Olivieri E. , Oriol C. , Paiella A. , Pajot F. , Passerini A. , Pastoriza H. , Pelosi A. , Perbost C. , Perciballi M. , Pezzotta F. , Piacentini F. , Piccirillo L. , Pisano G. , Platino M. , Polenta G. , Prêle D. , Puddu R. , Rambaud D. , Rasztocky E. , Ringegni P. , Romero G.E. , Salum J.M. , Schillaci A. , Scully S. , Spinelli S. , Stankowiak G. , Supanitsky A.D. , Timbie P. , Tomasi M. , Tucker C. , Tucker G. , Viganò D. , Vittorio N. , Wicek F. , Wright M. , Zullo A. 
Published: April 2022

Abstract
Bolometric interferometry is a novel technique that has the ability to perform spectral imaging. A bolometric interferometer observes the sky in a wide frequency band and can reconstruct sky maps in several sub-bands within the physical band in post-processing of the data. This provides a powerful spectral method to discriminate between the cosmic microwave background (CMB) and astrophysical foregrounds. In this paper, the methodology is illustrated with examples based on the Q & U Bolometric Interferometer for Cosmology (QUBIC) which is a ground-based instrument designed to measure the B-mode polarization of the sky at millimeter wavelengths. We consider the specific cases of point source reconstruction and Galactic dust mapping and we characterize the point spread function as a function of frequency. We study the noise properties of spectral imaging, especially the correlations between sub-bands, using end-to-end simulations together with a fast noise simulator. We conclude showing that spectral imaging performance are nearly optimal up to five sub-bands in the case of QUBIC.
Characterization of anisotropic Gaussian random fields by Minkowski tensors
Authors: Klatt Michael Andreas , Hörmann Max , Mecke Klaus 
Published: April 2022

Abstract
Gaussian random fields are among the most important models of amorphous spatial structures and appear across length scales in a variety of physical, biological, and geological applications, from composite materials to geospatial data. Anisotropy in such systems can be sensitively and comprehensively characterized by the so-called Minkowski tensors (MTs) from integral geometry. Here, we analytically calculate expected MTs of arbitrary rank for the level sets of Gaussian random fields. The explicit expressions for interfacial MTs are confirmed in detailed simulations. We demonstrate how the MTs detect and characterize the anisotropy of the level sets, and we clarify which shape information is contained in the MTs of different rank. Using an irreducible representation of the MTs in the Euclidean plane, we show that higher-rank tensors indeed contain additional anisotropy information compared to a rank two tensor. Surprisingly, we can nevertheless predict this information from the second-rank tensor if we assume that the random field is Gaussian. This relation between tensors of different rank is independent of the details of the model. It is, therefore, useful for a null hypothesis test that detects non-Gaussianities in anisotropic random fields.
Design of efficient single target real-time beam tracking system
Authors: Hu Ji , Wong Sai-wai 
Published: April 2022

Abstract
This paper builds a system for real-time tracking of a single target Radio Frequency (RF) signal source, in which the transmitter uses a low-cost HackRF One software radio transceiver platform, and the receiving antenna array uses two monopole antennas to form a 1×2 receiving array. The receiver uses Xilinx 7-Series development board Zedboard and AD9361 RF transceiver to build a wireless receiving platform to process the received signal. In this RF beam tracking system, it needs to perform Direction of Arrival (DOA) estimation on the calibrated signal, the DOA algorithm plays a crucial role in the accuracy of beam pointing and system running time, the MUSIC algorithm takes some time to conduct spectrum peak search, so the Root-Music algorithm is used here to avoid the spectrum peak search problem. To enable the Root-MUSIC algorithm to be better executed on this two-element receiving platform, this work simplifies the entire calculation process, requiring only a small amount of calculation and running time to complete the DOA estimation step, which effectively save FPGA processing time and computing resources. It provides a guarantee for the real-time performance of the system.
A simple algorithm for diffuse optical tomography without Jacobian inversion
Authors: Paul Ria , Murali K , Chetia Sumana , Varma Hari M 
Published: April 2022

Abstract
A computationally simpler algorithm to reconstruct the optical property distribution of turbid media using diffuse optical tomographic principles is presented. The proposed algorithm eliminates the requirement of large Jacobian matrix inversion which otherwise is essential for tomographic imaging. The most significant Jacobians are identified based on proper thresholding of the measurement and the intersection of these Jacobians gives the approximate spatial location of the inhomogeneity. The algorithm is tested and optimized using simulations and further validated using tissue-mimicking phantom-based experiments and in-vivo small-animal experiments.
Extending the relative seriality formalism for interpretable deep learning of normal tissue complication probability models
Authors: Yusufaly Tahir I 
Published: April 2022

Abstract
We formally demonstrate that the relative seriality (RS) model of normal tissue complication probability (NTCP) can be recast as a simple neural network with one convolutional and one pooling layer. This approach enables us to systematically construct deep relative seriality networks (DRSNs), a new class of mechanistic generalizations of the RS model with radiobiologically interpretable parameters amenable to deep learning. To demonstrate the utility of this formulation, we analyze a simplified example of xerostomia due to irradiation of the parotid gland during alpha radiopharmaceutical therapy. Using a combination of analytical calculations and numerical simulations, we show for both the RS and DRSN cases that the ability of the neural network to generalize without overfitting is tied to ‘stiff’ and ‘sloppy’ directions in the parameter space of the mechanistic model. These results serve as proof-of-concept for radiobiologically interpretable deep learning of NTCP, while simultaneously yielding insight into how such techniques can robustly generalize beyond the training set despite uncertainty in individual parameters.
ODEbase: a repository of ODE systems for systems biology
Authors: Lüders Christoph , Sturm Thomas , Radulescu Ovidiu 
Published: April 2022

Abstract

Summary
Recently, symbolic computation and computer algebra systems have been successfully applied in systems biology, especially in chemical reaction network theory. One advantage of symbolic computation is its potential for qualitative answers to biological questions. Qualitative methods analyze dynamical input systems as formal objects, in contrast to investigating only part of the state space, as is the case with numerical simulation. However, corresponding tools and libraries have a different set of requirements for their input data than their numerical counterparts. A common format used in mathematical modeling of biological processes is Systems Biology Markup Language (SBML). We illustrate that the use of SBML data in symbolic computation requires significant pre-processing, incorporating external biological and mathematical expertise. ODEbase provides suitable input data derived from established existing biomodels, covering in particular the BioModels database.

Availability and implementation
ODEbase is available free of charge at https://odebase.org.
Indications and utility of cardiac genetic testing in athletes
Authors: Castelletti Silvia , Gray Belinda , Basso Cristina , Behr Elijah R , Crotti Lia , Elliott Perry M , Gonzalez Corcia Cecilia M , D’Ascenzi Flavio , Ingles Jodie , Loeys Bart , Pantazis Antonis , Pieles Guido E , Saenen Johan , Sarquella Brugada Georgia , Sanz de la Garza Maria , Sharma Sanjay , Van Craenebroek Emeline M , Wilde Arthur , Papadakis Michael 
Published: April 2022

Abstract
Sports Cardiology practice commonly involves the evaluation of athletes for genetically determined cardiac conditions that may predispose to malignant arrhythmias, heart failure, and sudden cardiac death. High-level exercise can lead to electrical and structural cardiac remodelling which mimics inherited cardiac conditions (ICCs). Differentiation between ‘athlete’s heart’ and pathology can be challenging and often requires the whole armamentarium of available investigations. Genetic studies over the last 30 years have identified many of the genetic variants that underpin ICCs and technological advances have transformed genetic testing to a more readily available and affordable clinical tool which may aid diagnosis, management, and prognosis. The role of genetic testing in the evaluation and management of athletes with suspected cardiac conditions is often unclear beyond the context of specialist cardio-genetics centres. This document is aimed at physicians, nurses, and allied health professionals involved in the athlete’s care. With the expanding role and availability of genetic testing in mind, this document was created to address the needs of the broader sports cardiology community, most of whom work outside specialized cardio-genetics centres, when faced with the evaluation and management of athletes with suspected ICC. The first part of the document provides an overview of basic terminology and principles and offers guidance on the appropriate use of genetic testing in the assessment of such athletes. It outlines key considerations when contemplating genetic testing, highlighting the potential benefits and pitfalls, and offers a roadmap to genetic testing. The second part of the document presents common clinical scenarios in Sports Cardiology practice, outlining the diagnostic, prognostic, and therapeutic implications of genetic testing, including impact on exercise recommendations. The scope of this document does not extend to a comprehensive description of the genetic basis, investigation, or management of ICCs.
Description of Acinetobacter ihumii sp. nov., Microbacterium ihumii sp. nov., and Gulosibacter massiliensis sp. nov., three new bacteria isolated from human blood
Authors: Yacouba Abdourahamane , Sissoko Sibiri , Tchoupou Saha Ornella La Fortune , Haddad Gabriel , Dubourg Grégory , Gouriet Frédérique , Tidjani Alou Maryam , Alibar Stéphane , Million Matthieu , Lagier Jean-Christophe , Raoult Didier , Fenollar Florence , Fournier Pierre-Edouard , Lo Cheikh Ibrahima 
Published: April 2022

Abstract
Blood is precious tissue that is normally sterile. With the aim of diagnosing the cause of bacteremia, three bacterial strains were isolated from three different individuals. Strains Marseille-P7157T and Marseille-Q2854T are Gram-stain positive, non-spore-forming rod-shaped bacteria, while strain Marseille-P8049T is a Gram-stain negative, motile, non-spore-forming and rod-shaped bacterium. The major fatty acids found (&gt;30%) were hexadecanoic acid for strain Marseille-P8049T and 12-methyl tetradecanoic acid for both strains Marseille-P7157T and Marseille-Q2854T. The 16S rRNA gene sequence analysis shows that strains Marseille-P8049 and Marseille-Q2854T have sequence similarity of 96.8%, 99.04%, and 98.3% with Acinetobacter ursingii strain LUH3792 (NR_025392.1), Gulosibacter faecalis strain B187 (NR_041812.1), and Schaalia canis strain CCUG 41706 (NR_025366.1), respectively. In addition, strains Marseille-Q2854T, Marseille-P8049T and Marseille-P7157T shared with their closely related species cited above the following DDH values: 19.5%, 24.4%, and 20.2%, respectively. Based on these phenotypic and genomic findings, we consider that strains Marseille-P8049T (= CSUR P8049 = CECT 30350), Marseille-P2854T ( = CSUR Q2854 = CECT 30120) and Marseille-P7157T ( = CSUR P7157 = CECT 30048) are new bacterial species, for which the names Acinetobacter ihumii sp. nov., Microbacterium ihumii sp. nov., and Gulosibacter massiliensis sp. nov., are proposed.
A first 3-D shear wave velocity model of the Ischia Island (Italy) by HVSR inversion
Authors: Manzo Roberto , Nardone Lucia , Gaudiosi Guido , Martino Claudio , Galluzzo Danilo , Bianco Francesca , Di Maio Rosa 
Published: April 2022

SUMMARY
Following the Mw 3.9 earthquake that occurred in the Ischia island (Naples, southern Italy) on 21 August 2017, the local monitoring seismic network was significantly improved in terms of both number of stations and instrumentation performance. Due to the huge amount of collected seismic ambient noise data, in this paper we present a first 3-D shear wave velocity model of the island retrieved from the inversion of horizontal-to-vertical spectral ratio curves by fixing the shear wave velocities (Vs) and modifying the thicknesses to get the corresponding 1-D Vs models. We are confident about the robustness of the attained models since the inversion process provided a good convergence towards the best-fitting solutions. Then, a first 3-D velocity model was obtained by contouring all the 1-D models obtained for the selected seismic stations to highlight possible lateral variations of the layer thicknesses and to reconstruct the morphology of the deeper interface characterized by a high-impedance contrast. A good correspondence between the 3-D Vs model and the geological features of the island was observed, especially in the northern sector where most of the stations are installed. In particular, the top of the high-impedance contrast interface appears deeper in the northern coastal areas and shallower in the central sector. This result agrees with the structural settings of the island likely due to the resurgence of Mount Epomeo.
Genetic correction of TRMU allele restored the mitochondrial dysfunction-induced deficiencies in iPSCs-derived hair cells of hearing-impaired patients
Authors: Chen Chao , Guan Min-Xin 
Published: April 2022

Abstract
Sensorineural hearing loss often results from damaged or deficient inner ear hair cells. Mitochondrial 12S rRNA 1555A&gt;G mutation has been associated with hearing loss in many families. The m.1555A&gt;G mutation is a primary factor underlying the development of hearing loss and TRMU allele (c.28G&gt;T, p.Ala10Sser) encoding tRNA thiouridylase interact with m.1555A&gt;G mutation to cause hearing loss. However, the tissue specificity of mitochondrial dysfunction remains elusive and there is no highly effective therapy for mitochondrial deafness. We report here the generation of induced pluripotent stem cells (iPSCs) from lymphoblastoid cell lines derived from members of an Arab-Israeli family (asymptomatic individual carrying only m.1555A&gt;G mutation, symptomatic individual bearing both m.1555A&gt;G and c.28G&gt;T mutations, and control subject). The c.28G&gt;T mutation in iPSC lines from a hearing-impaired subject was corrected by CRISPR/Cas9. These iPSCs were differentiated into otic epithelial progenitor (OEP) cells and subsequent inner ear hair cell (HC)-like cells. The iPSCs bearing m.1555A&gt;G mutation exhibited mildly deficient differentiation into OEP and resultant HC-like cells displayed mild defects in morphology and electrophysiological properties. Strikingly, those HC-like cells harboring m.1555A&gt;G and TRMU c.28G&gt;T mutations displayed greater defects in the development, morphology and functions than those in cells bearing only m.1555A&gt;G mutation. Transcriptome analysis of patients-derived HC-like cells revealed altered expressions of genes vital for mechanotransduction of hair cells. Genetic correction of TRMU c.28G&gt;T mutation yielded morphologic and functional recovery of patient derived HC-like cells. These findings provide new insights into pathophysiology of maternally inherited hearing loss and a step toward therapeutic interventions for this disease.
Motivic Action on Coherent Cohomology of Hilbert Modular Varieties
Authors: Horawa Aleksander 
Published: April 2022

Abstract
We propose an action of a certain motivic cohomology group on the coherent cohomology of Hilbert modular varieties, extending conjectures of Venkatesh, Prasanna, and Harris. The action is described in two ways: on cohomology modulo $p$ and over ${\mathbb {C}}$, and we conjecture that they both lift to an action on cohomology with integral coefficients. The conjecture is supported by theoretical evidence based on Stark’s conjecture on special values of Artin $L$-functions and by numerical evidence in base change cases.
The Dirichlet Problem for a Class of Hessian Quotient Equations on Riemannian Manifolds
Authors: Chen Xiaojuan , Tu Qiang , Xiang Ni 
Published: April 2022

Abstract
In this paper, we consider the Dirichlet problem for a class of Hessian quotient equations involving a gradient term on the right-hand sides on Riemannian manifolds. Under the assumption of an admissible subsolution, we solve the existence and the uniqueness for the Dirichlet problem on compact Riemannian manifold, based on the a priori estimates for the solutions to the Hessian quotient type equations. Compared with the classical results for Hessian type equations, our results do not depend on the convexity assumption for the right-hand side of the equation.
Parabolic Frequency on Ricci Flows
Authors: Baldauf Julius , Kim Dain 
Published: April 2022

AbstractThis paper defines a parabolic frequency for solutions of the heat equation on a Ricci flow and proves its monotonicity along the flow. Frequency monotonicity is known to have many useful consequences; here it is shown to provide a simple proof of backwards uniqueness. For solutions of more general parabolic equations on a Ricci flow, this paper provides bounds on the derivative of the frequency, which similarly imply backwards uniqueness.
Counterfactual Reasoning in Art Criticism
Authors: Sun Angela 
Published: April 2022

Abstract
When we evaluate artworks, we often point to what an artist could have done or what a work could have been in order to say something about the work as it actually is. Call this counterfactual reasoning in art criticism. On my account, counterfactual claims about artworks involve comparative aesthetic judgments between actual artworks and hypothetical variations of those works. The practice of imagining what an artwork could have been is critically useful because it can help us understand how artworks achieve specific aesthetic effects. I conclude by responding to an objection to my account on the basis that it violates the widely accepted acquaintance principle in aesthetics, on which aesthetic judgments must be based on firsthand perceptual encounters with their objects.
Survival benefit of remdesivir in hospitalized COVID-19 patients with high SARS-CoV-2 viral loads and low-grade systemic inflammation
Authors: Padilla Sergio , Polotskaya Kristina , Fernández Marta , Gonzalo-Jiménez Nieves , de la Rica Alba , García José Alberto , García-Abellán Javier , Mascarell Paula , Gutiérrez Félix , Masiá Mar 
Published: April 2022

Abstract

Objectives
To assess the benefits of remdesivir in hospitalized COVID-19 patients receiving combined immunomodulatory therapy (CIT) with dexamethasone and tocilizumab.

Methods
This was a cohort study of microbiologically confirmed COVID-19 hospitalized patients. The primary outcome was all-cause 28 day mortality. Secondary outcomes were need for invasive mechanical ventilation (IMV) and IMV/death. Subgroup analyses according to SARS-CoV-2 cycle threshold (Ct) values and inflammation biomarkers were performed. Multivariable marginal structural Cox proportional hazards regression models were used to analyse the association between remdesivir therapy and the risk of outcomes of interest.

Results
Of 1368 hospitalized patients treated with corticosteroids, 1014 (74%) also received tocilizumab, 866 (63%) remdesivir and 767 (56%) tocilizumab + remdesivir. The 28 day mortality was 9% in the overall cohort, with an adjusted HR (aHR) of 0.32 (95% CI = 0.17–0.59) for patients receiving CIT. In the latter group, the 28 day mortality was 6.5%, with an aHR of 1.11 (95% CI = 0.57–2.16) for remdesivir use and there were no differences in secondary outcomes. The risk of primary and secondary outcomes with remdesivir differed by Ct and C-reactive protein (CRP) levels in patients receiving CIT: for 28 day mortality, the aHR was 0.48 (95% CI = 0.21–1.11) for Ct &lt;25, 0.12 (95% CI = 0.02–0.66) for Ct &lt;25 and &lt;5 day symptom duration and 0.13 (95% CI = 0.03–0.50) for CRP &lt;38 mg/L; for IMV and IMV/death, the aHR was 0.32 (95% CI = 0.13–0.77) and 0.33 (95% CI = 0.17–0.63), respectively, in patients with Ct &lt;25.

Conclusions
The benefits of remdesivir administered with dexamethasone and tocilizumab in hospitalized COVID-19 patients differ depending on Ct and CRP. Remdesivir decreases the risk of mortality and need for IMV in patients with high viral loads and low-grade systemic inflammation.