cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Room temperature single-photon emitters in silicon nitride
Creators: name: Senichev, Alexander
name: Martin, Zachariah O.
name: Peana, Samuel
name: Sychev, Demid
name: Xu, Xiaohui
name: Lagutchev, Alexei S.
name: Boltasseva, Alexandra
name: Shalaev, Vladimir M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Applied Physics (physics.app-ph)
subject: Optics (physics.optics)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Single-photon emitters are essential for enabling several emerging applications in quantum information technology, quantum sensing and quantum communication. Scalable photonic platforms capable of hosting intrinsic or directly embedded sources of single-photon emission are of particular interest for the realization of integrated quantum photonic circuits. Here, we report on the first-time observation of room-temperature single-photon emitters in silicon nitride (SiN) films grown on silicon dioxide substrates. As SiN has recently emerged as one of the most promising materials for integrated quantum photonics, the proposed platform is suitable for scalable fabrication of quantum on-chip devices. Photophysical analysis reveals bright (>$10^5$ counts/s), stable, linearly polarized, and pure quantum emitters in SiN films with the value of the second-order autocorrelation function at zero time delay $g^{(2)}(0)$ below 0.2 at room temperatures. The emission is suggested to originate from a specific defect center in silicon nitride due to the narrow wavelength distribution of the observed luminescence peak. Single-photon emitters in silicon nitride have the potential to enable direct, scalable and low-loss integration of quantum light sources with the well-established photonic on-chip platform.
description: 15 pages, 4 figures, and Supplementary Information
Multiple Laguerre polynomials: Combinatorial model and Stieltjes moment representation
Creators: name: Sokal, Alan D.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 33C45 (Primary), 05A15, 05A19, 30E05, 42C05 (Secondary)

description: I give a combinatorial interpretation of the multiple Laguerre polynomials of the first kind of type II, generalizing the digraph model found by Foata and Strehl for the ordinary Laguerre polynomials. I also give an explicit integral representation for these polynomials, which shows that they form a multidimensional Stieltjes moment sequence whenever $x \le 0$.
description: LaTeX2e, 11 pages. Version 2 fixes Remark 2 on page 5. To be published in Proceedings of the AMS
Stability estimate for a partial data inverse problem for the convection-diffusion equation
Creators: name: Senapati, Soumen
name: Vashisth, Manmohan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: In this article, we study the stability in the inverse problem of determining the time-dependent convection term and density coefficient appearing in the convection-diffusion equation, from partial boundary measurements. For dimension $n\geq 2$, we show the convection term (modulo the gauge term) admits log-log stability, whereas log-log-log stability estimate is obtained for the density coefficient.
Additional file 1 of Enhanced silver nanoparticle-induced pulmonary inflammation in a metabolic syndrome mouse model and resolvin D1 treatment
Creators: name: Alqahtani, Saeed
name: Xia, Li
name: Shannahan, Jonathan H.
Publisher: name: figshare
Year: 2022
Subjects: subject: Biochemistry
subject: Medicine
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Mental Health

description: Additional file 1. Supplemental Figure 1. Characterization of healthy and MetS mouse models. Supplemental Figure 2. Darkfield microscopy assessments of AgNPs within macrophages collected from BAL fluid from healthy and MetS mouse models not receiving RvD1 treatment. Supplemental Figure 3. Darkfield microscopy assessment of AgNPs within macrophages collected from BAL fluid from healthy and MetS mouse models receiving RvD1 treatment. Supplemental Figure 4. Hyperspectral analysis of AgNPs within neutrophils and macrophages collected in BAL fluid from health and MetS mouse models.
Secondary metabolites of Xylaria sp., an endophytic fungus from Taxus mairei
Creators: name: Lin, Xiao
name: Yu, Miao
name: Lin, Ting
name: Lianru Zhang
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: Plant Biology

description: One new metabolite 3,7-dimethyl-9-(-2,2,5,5-tetramethyl-1,3-dioxolan-4-yl)nona-1,6-dien-3-ol, together with nine known compounds, were isolated from the strain Xylaria sp., an endophytic fungus of Taxus mairei. Their structures were deduced from 1D and 2D NMR data. In vitro cytotoxicity and antibacterial activity of these compounds were evaluated. Some of them exhibited substantial activity.
ATHENA: Advanced Techniques for High Dimensional Parameter Spaces to Enhance Numerical Analysis
Creators: name: Romor, Francesco
name: Tezzele, Marco
name: Rozza, Gianluigi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: ATHENA is an open source Python package for reduction in parameter space. It implements several advanced numerical analysis techniques such as Active Subspaces (AS), Kernel-based Active Subspaces (KAS), and Nonlinear Level-set Learning (NLL) method. It is intended as a tool for regression, sensitivity analysis, and in general to enhance existing numerical simulations' pipelines tackling the curse of dimensionality. Source code, documentation, and several tutorials are available on GitHub at https://github.com/mathLab/ATHENA under the MIT license.
Stable walking in a biped robot with force-feedback-induced center-of-mass regulation
Creators: name: Chen, Jing-Yi
name: Jau-Ching Lu
name: Ching-Pei Chen
name: Pei-Chun Lin
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Neuroscience
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Ecology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Computational Biology

description: We report on a novel ZMP feedback control strategy which regulates the center of mass trajectory of a robot based on the measured zero-moment point (ZMP). Based on the trajectory generated by preview control and the linear inverted pendulum model, the controller has an extra model-based control input which is driven by the center-of-mass (CoM) acceleration, which provides sensitive response to disturbance. Thus, the robot motion is balanced between the long-term nominal CoM/ZMP trajectory tracking and the short-term trajectory modification for disturbance rejection. In addition, the controller has two layers of adjustment strategy. When the disturbance is small, the robot is regulated by merely adjusting its CoM trajectory. In contrast, when the disturbance is large, the foot position of the robot is simultaneously changed to provide a more effective response with characteristics of larger intrinsic stability. The performance of the control strategy is also experimentally evaluated using a child-size biped robot.
Semantic segmentation of multispectral photoacoustic images using deep learning
Creators: name: Schellenberg, Melanie
name: Dreher, Kris
name: Holzwarth, Niklas
name: Isensee, Fabian
name: Reinke, Annika
name: Schreck, Nicholas
name: Seitel, Alexander
name: Tizabi, Minu D.
name: Maier-Hein, Lena
name: Gröhl, Janek
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Medical Physics (physics.med-ph)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Photoacoustic (PA) imaging has the potential to revolutionize functional medical imaging in healthcare due to the valuable information on tissue physiology contained in multispectral photoacoustic measurements. Clinical translation of the technology requires conversion of the high-dimensional acquired data into clinically relevant and interpretable information. In this work, we present a deep learning-based approach to semantic segmentation of multispectral photoacoustic images to facilitate image interpretability. Manually annotated photoacoustic {and ultrasound} imaging data are used as reference and enable the training of a deep learning-based segmentation algorithm in a supervised manner. Based on a validation study with experimentally acquired data from 16 healthy human volunteers, we show that automatic tissue segmentation can be used to create powerful analyses and visualizations of multispectral photoacoustic images. Due to the intuitive representation of high-dimensional information, such a preprocessing algorithm could be a valuable means to facilitate the clinical translation of photoacoustic imaging.
description: 8 pages, 7 figures, 3 tables
Heterogeneous Graph Representation Learning with Relation Awareness
Creators: name: Yu, Le
name: Sun, Leilei
name: Du, Bowen
name: Liu, Chuanren
name: Lv, Weifeng
name: Xiong, Hui
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Representation learning on heterogeneous graphs aims to obtain meaningful node representations to facilitate various downstream tasks, such as node classification and link prediction. Existing heterogeneous graph learning methods are primarily developed by following the propagation mechanism of node representations. There are few efforts on studying the role of relations for improving the learning of more fine-grained node representations. Indeed, it is important to collaboratively learn the semantic representations of relations and discern node representations with respect to different relation types. To this end, in this paper, we propose a novel Relation-aware Heterogeneous Graph Neural Network, namely R-HGNN, to learn node representations on heterogeneous graphs at a fine-grained level by considering relation-aware characteristics. Specifically, a dedicated graph convolution component is first designed to learn unique node representations from each relation-specific graph separately. Then, a cross-relation message passing module is developed to improve the interactions of node representations across different relations. Also, the relation representations are learned in a layer-wise manner to capture relation semantics, which are used to guide the node representation learning process. Moreover, a semantic fusing module is presented to aggregate relation-aware node representations into a compact representation with the learned relation representations. Finally, we conduct extensive experiments on a variety of graph learning tasks, and experimental results demonstrate that our approach consistently outperforms existing methods among all the tasks.
description: Accepted by the TKDE journal
Additional file 1 of Microglia-specific deletion of histone deacetylase 3 promotes inflammation resolution, white matter integrity, and functional recovery in a mouse model of traumatic brain injury
Creators: name: Zhao, Yongfang
name: Mu, Hongfeng
name: Huang, Yichen
name: Li, Sicheng
name: Wang, Yangfan
name: Stetler, R. Anne
name: Bennett, Michael V. L.
name: Dixon, C. Edward
name: Chen, Jun
name: Shi, Yejie
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Molecular Biology
subject: Neuroscience
subject: Pharmacology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1: Figure S1. Microglia-specific HDAC3 knockout does not alter baseline inflammation level in the homeostatic brain. Figure S2. Microglial expression of activation markers under baseline conditions (related to Fig. 2). Figure S3. HDAC3 miKO promotes the resolution of inflammation in the brain after TBI (related to Fig. 3). Table S1. Key resources. Table S2. The numbers of mice used in this study. Table S3. Tissue samples processed in this study. Table S4. Statistics reporting.
Influence of electrostatic interactions on the properties of cyanobiphenyl liquid crystals predicted from atomistic molecular dynamics simulations
Creators: name: Xiaoyu Wei
name: Hooper, Justin B.
name: Bedrov, Dmitry
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Biophysics
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Computational Biology

description: The influence of force field details in all-atom molecular dynamics (MD) simulations on the predicted thermodynamic, structural, and dynamic properties of bulk 4-cyano-4ʹ-pentylbiphenyl (5CB) systems have been investigated in the 292–368 K temperature range. The effect of the molecular dipole moment and the details of dihedral potential for biphenyl unit were investigated using both polarisable (POL) and non-polarisable (NP) versions of the quantum chemistry-based force field. The predicted densities for the nematic and isotropic phases of bulk 5CB were found to be in excellent agreement with available experimental data. The nematic-isotropic transition temperature (TNI) showed strong sensitivity to the force field details, MD simulations with partial atomic charge distributions and molecular dipole moment corresponding to high-level quantum chemistry calculations predicted an overestimation of the TNI by about 30 K. Rescaling the charges to allow the molecular dipole to be closer to experimentally reported values of 5CB dipole in condensed phases, significantly improved the prediction of TNI as well as other thermodynamic and dynamic properties of 5CB. We also discuss how the structural, thermodynamic, and dynamic properties of bulk 5CB are affected by the flexibility of the central biphenyl dihedral and the inclusion of induced polarisation effects.
Synthetic dimension band structures on a Si CMOS photonic platform
Creators: name: Balčytis, Armandas
name: Ozawa, Tomoki
name: Ota, Yasutomo
name: Iwamoto, Satoshi
name: Maeda, Jun
name: Baba, Toshihiko
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: Synthetic dimensions, which simulate spatial coordinates using non-spatial degrees of freedom, are drawing interest in topological science and other fields for modelling higher-dimensional phenomena on simple structures. We present the first realization of a synthetic frequency dimension on a silicon ring resonator photonic device fabricated using a CMOS process. We confirm that its coupled modes correspond to a 1D tight-binding model through acquisition of up to 280 GHz bandwidth optical frequency comb-like spectra, and by measuring the first synthetic band structures on an integrated device. Furthermore, we realized two types of gauge potentials along the frequency dimension, and probed their effects through the associated band structures. An electric field analogue was produced via modulation detuning, whereas effective magnetic fields were induced using synchronized nearest- and second-nearest-neighbor coupling. Creation of coupled mode lattices and two effective forces on a monolithic Si CMOS device represents a key step towards wider adoption of topological principles.
description: 12 pages, 5 figures
Single-Pixel Compressive Imaging in Shift-Invariant Spaces via Exact Wavelet Frames
Creators: name: Vlašić, Tin
name: Seršić, Damir
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper introduces a novel framework for single-pixel imaging via compressive sensing (CS) in shift-invariant (SI) spaces by exploiting the sparsity property of a wavelet representation. We reinterpret the acquisition procedure of a single-pixel camera as filtering of the observed signal with continuous-domain functions that lie in an SI subspace spanned by the integer shifts of the box function. The signal is modeled by an arbitrary SI generator whose special case is the box function, which, as we show in the paper, is conventionally used in single-pixel imaging. We propose to use separable B-spline generators which are intuitively complemented by sparsity-inducing spline wavelets. The SI models of the acquisition and the underlying signal lead to an exact discretization of an inherently continuous-domain inverse problem to a finite-dimensional problem of CS type. By solving the CS optimization problem, a parametric representation of the signal is obtained. Such a representation offers many practical advantages in image processing applications. We propose an efficient matrix-free implementation of the framework and conduct it on the standard test images and real-world measurement data. Experimental results show that the proposed framework achieves a significant improvement of the reconstruction quality relative to the conventional discretization in CS setups. MATLAB implementation of the method described in this paper has been made publicly available on https://github.com/retiro/compressive_imaging_in_si_spaces.
description: 16 pages, 12 figures, has been accepted for publication in Signal Processing: Image Communication
Garland_et_al_Nat_Food_R_Code_Figshare.docx
Creators: name: Garland, Gina
name: Edlinger, Anna
name: Samiran Banerjee
name: Degrune, Florine
name: García-Palacios, Pablo
name: Sánchez-Pescador, David
name: Herzog, Chantal
name: Romdhane, Sana
name: Saghai, Aurelien
name: Aymé Spor
name: Wagg, Cameron
name: Hallin, Sara
name: Maestre, Fernando T.
name: Philippot, Laurent
name: Rillig, Matthias
name: Heijden, Marcel Van Der
Publisher: name: figshare
Year: 2020
Subjects: subject: 50102 Ecosystem Function
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: FOS: Biological sciences
subject: Environmental Science

description: This is the Supplementary R Code associated with our manuscript submitted to Nature Food July 2020
Chemical interaction between ocean and atmosphere
Creators: name: Kern, Bastian
Publisher: name: Zenodo
Year: 2013
Subjects: atmosphere-ocean exchange
global modelling
tropospheric chemistry
earth sytem model

description: The exchange of chemical constituents between ocean and atmosphere provides potentially important feedback mechanisms in the climate system. The aim of this study is to develop and evaluate a chemically coupled global atmosphere-ocean model. For this, an atmosphere-ocean general circulation model with atmospheric chemistry has been expanded to include oceanic biogeochemistry and the process of air-sea gas exchange. The calculation of seawater concentrations in the oceanic biogeochemistry submodel has been expanded from DMS, CO₂ , and N₂O to include also CO and isoprene (C₅H₈). Further new implementations comprise the possibilities to consider the nutrient import by rivers into the ocean, and the dust deposition as a source of silicic acid (Si(OH)₄) from silica (SiO₂) in addition to iron (Fe). Moreover, the climatological dust deposition can now be replaced by a simulated one from the atmospheric model. To evaluate the novel model system, a set of simulations under year-2000 conditions focusing on the major chemical interactions between ocean and atmosphere have been performed. With additional sensitivity studies the impact of a modified nutrient import from interactive dust deposition and from additional nutrient import by rivers has been assessed. To prepare the model system for studies on climatological time-scales, cloud parameterisation related parameters have been optimised for a suited model resolution. The simulations show robust and consistent responses of the model system to forcings in terms of interactive oceanic biogeochemistry. Deficiencies in the representation of oceanic net primary production (NPP) have been identified, depending strongly on the coupling frequency providing solar irradiance at the ocean’s surface. An approximately linear relationship between air-sea gas fluxes and surface water concentrations for the interactively simulated reactive species (DMS, C₅H₈, and CO) has been found. Additional nutrient import to the ocean by rivers shows only weak, insignificant impacts on the atmospheric composition, mostly due to the coarse resolution and the not well represented shelf areas. The modified dust deposition shows only a minor effect, although the interactively simulated amount of dust deposited into the ocean is twice as large as the previously used climatology. This weak impact of enhanced Fe and SiO₂ deposition is due to the limitation of phytoplankton growth by nitrate in aqueous phase (NO₃₋) in the main dust deposition regions. In summary, the chemically coupled model system is well prepared for applications in chemistry-climate research.
A Guidance and Maneuvering Control System Design with Anti-collision Using Stream Functions with Vortex Flows for Autonomous Marine Vessels
Creators: name: Zhou, Hongyu
name: Ren, Zhengru
name: Marley, Mathias
name: Skjetne, Roger
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: Robotics (cs.RO)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Autonomous marine vessels are expected to avoid inter-vessel collisions and comply with the international regulations for safe voyages. This paper presents a stepwise path planning method using stream functions. The dynamic flow of fluids is used as a guidance model, where the collision avoidance in static environments is achieved by applying the circular theorem in the sink flow. We extend this method to dynamic environments by adding vortex flows in the flow field. The stream function is recursively updated to enable on the fly waypoint decisions. The vessel avoids collisions and also complies with several rules of the Convention on the International Regulations for Preventing Collisions at Sea. The method is conceptually and computationally simple and convenient to tune, and yet versatile to handle complex and dense marine traffic with multiple dynamic obstacles. The ship dynamics are taken into account, by using Bézier curves to generate a sufficiently smooth path with feasible curvature. Numerical simulations are conducted to verify the proposed method.
description: 16 pages, 17 figures. This paper is accepted by IEEE Transactions on Control Systems Technology
Interventions to Tackle Malnutrition and its Risk Factors in Children living in Slums – a scoping review
Creators: name: Goudet, Sophie
name: Griffiths, Paula
name: Bogin, Barry
name: Nyovani Madise
Publisher: name: Taylor & Francis
Year: 2016
Subjects: Medicine
Biotechnology
Cancer
Science Policy

description: Context: Children living in slums are at high risk of being malnourished. There are no published reviews on existing interventions promoting better nutrition for children living in slums and the risks factors for children’s malnutrition. Improved understanding of the risks factors for malnutrition in slums communities and the impact of interventions on children’s health can provide guidance to practitioners and decision-makers. The present review is designed to provide this information. Methods: The search included 30 electronic bibliographic databases, and relevant eligible studies published up to December 2013. Results: The search located 1,512 citations. Full text relevance screening was conducted on 226 studies and on abstracts for 16 studies. The final 58 unique studies included 22 on interventions and 38 on risk. All of the interventions were nutrition-specific with nutritional intervention being the most dominant type. Seventy three percent of the interventions were assessed effective. Conclusion: The findings stressed the gaps in knowledge in terms of quality assessment and programmatic recommendations to identify children who are the most at risk of malnutrition to appropriately target interventions. Finally, the review helped to inform a systematic review (Cochrane Systematic review protocol 2015) that will examine the impact of interventions on outcome measures.
title: 01_1314
Creators: name: Wesley Baldwin, John
name: Baldwin, John W.
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2018
Subjects: subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: L'ensemble de ces notes ont été crée par John Baldwin lors d'une de ses premières périodes de résidence à Paris. Ces documents comprennent tous les magistri qu’il avait pu rencontrer dans ses sources. Aux XIIème et XIIIème siècles, les universités n'existant pas encore, le titre de magister s'il évoque certainement une compétence n'est pas rattaché de façon systématique au passage par les écoles. De surcroît, les magistris sont le plus souvent désignés par leur seul prénom. La lecture de ces données est donc difficile et suppose un long travail pour tenter d'identifier un individu auquel on pourrait rattacher plusieurs mentions. John Baldwin avait donc renoncé à utiliser ces données pour donner un prolongement à sa magnifique étude sur les gradués d'université et leur emploi par les Capétiens et les Plantagenêts. Néanmoins, il a conservé ces données et elles sont potentiellement très utile dans le cadre de Studium, comme le sont toutes les mentions dans les volumes des Fasti Ecclesiae Gallicanae de chanoines portant ce titre de magister sans autres précisions. L'ampleur des dépouillements rend ces données très utiles et nous devons une grande reconnaissance à John Baldwin pour avoir pris la peine de faire photocopier ses fiches et de nous les avoir transmises amicalement.
Les données ainsi que les images des fiches sont accessibles sur le site Internet à l'adresse suivante : http://studium-baldwin.lamop.fr/.
Les transcriptions des fiches ont été effectuées par des étudiants de Paris 1 Panthéon - Sorbonne mais elles n'ont pas été corrigées par la suite.
description: Relation: https://lamop.hypotheses.org/
Demonstration of a modelling-based multi-criteria decision analysis procedure for prioritisation of occupational risks from manufactured nanomaterials
Creators: name: Hristozov, Danail
name: Zabeo, Alex
name: Jensen, Keld Alstrup
name: Gottardo, Stefania
name: Isigonis, Panagiotis
name: Maccalman, Laura
name: Critto, Andrea
name: Marcomini, Antonio
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Space Science
subject: Medicine
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: Several tools to facilitate the risk assessment and management of manufactured nanomaterials (MN) have been developed. Most of them require input data on physicochemical properties, toxicity and scenario-specific exposure information. However, such data are yet not readily available, and tools that can handle data gaps in a structured way to ensure transparent risk analysis for industrial and regulatory decision making are needed. This paper proposes such a quantitative risk prioritisation tool, based on a multi-criteria decision analysis algorithm, which combines advanced exposure and dose-response modelling to calculate margins of exposure (MoE) for a number of MN in order to rank their occupational risks. We demonstrated the tool in a number of workplace exposure scenarios (ES) involving the production and handling of nanoscale titanium dioxide, zinc oxide (ZnO), silver and multi-walled carbon nanotubes. The results of this application demonstrated that bag/bin filling, manual un/loading and dumping of large amounts of dry powders led to high emissions, which resulted in high risk associated with these ES. The ZnO MN revealed considerable hazard potential in vivo, which significantly influenced the risk prioritisation results. In order to study how variations in the input data affect our results, we performed probabilistic Monte Carlo sensitivity/uncertainty analysis, which demonstrated that the performance of the proposed model is stable against changes in the exposure and hazard input variables.
Hervé de Feraudy (Fondation UVSQ)
Creators: name: Leibowitch, Jacques (1942-2020)
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: 1 fichier (2 pages). Autres destinataires : Laurence Heller, Christine Bergström, Siki de Somalie, Bertrand Mailliard, Christian Perronne, Cynthia Fleury.
Additional file 1: of Web-based intervention to improve quality of life in late stage bipolar disorder (ORBIT): randomised controlled trial protocol
Creators: name: Fletcher, Kathryn
name: Foley, Fiona
name: Thomas, Neil
name: Michalak, Erin
name: Berk, Lesley
name: Berk, Michael
name: Bowe, Steve
name: Cotton, Sue
name: Engel, Lidia
name: Johnson, Sheri
name: Jones, Steven
name: Kyrios, Michael
name: Lapsley, Sara
name: Mihalopoulos, Cathrine
name: Perich, Tania
name: Murray, Greg
Publisher: name: figshare
Year: 2018
Subjects: Medicine
Cell Biology
Biological Sciences not elsewhere classified
Developmental Biology
Marine Biology
Science Policy
Mental Health

description: SPIRIT 2013 Checklist: Recommended items to address in a clinical trial protocol and related documents. (DOC 136 kb)
Classical algorithms and quantum limitations for maximum cut on high-girth graphs
Creators: name: Barak, Boaz
name: Marwaha, Kunal
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Data Structures and Algorithms (cs.DS)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We study the performance of local quantum algorithms such as the Quantum Approximate Optimization Algorithm (QAOA) for the maximum cut problem, and their relationship to that of classical algorithms. (1) We prove that every (quantum or classical) one-local algorithm achieves on $D$-regular graphs of girth $> 5$ a maximum cut of at most $1/2 + C/\sqrt{D}$ for $C=1/\sqrt{2} \approx 0.7071$. This is the first such result showing that one-local algorithms achieve a value bounded away from the true optimum for random graphs, which is $1/2 + P_*/\sqrt{D} + o(1/\sqrt{D})$ for $P_* \approx 0.7632$. (2) We show that there is a classical $k$-local algorithm that achieves a value of $1/2 + C/\sqrt{D} - O(1/\sqrt{k})$ for $D$-regular graphs of girth $> 2k+1$, where $C = 2/π\approx 0.6366$. This is an algorithmic version of the existential bound of Lyons and is related to the algorithm of Aizenman, Lebowitz, and Ruelle (ALR) for the Sherrington-Kirkpatrick model. This bound is better than that achieved by the one-local and two-local versions of QAOA on high-girth graphs. (3) Through computational experiments, we give evidence that the ALR algorithm achieves better performance than constant-locality QAOA for random $D$-regular graphs, as well as other natural instances, including graphs that do have short cycles. Our experimental work suggests that it could be possible to extend beyond our theoretical constraints. This points at the tantalizing possibility that $O(1)$-local quantum maximum-cut algorithms might be *pointwise dominated* by polynomial-time classical algorithms, in the sense that there is a classical algorithm outputting cuts of equal or better quality *on every possible instance*. This is in contrast to the evidence that polynomial-time algorithms cannot simulate the probability distributions induced by local quantum algorithms.
description: 1+20 pages, 2 figures, code online at https://tiny.cc/QAOAvsALR
Evidence for a single-layer van der Waals multiferroic
Creators: name: Song, Qian
name: Occhialini, Connor A.
name: Ergeçen, Emre
name: Ilyas, Batyr
name: Amoroso, Danila
name: Barone, Paolo
name: Kapeghian, Jesse
name: Watanabe, Kenji
name: Taniguchi, Takashi
name: Botana, Antia S.
name: Picozzi, Silvia
name: Gedik, Nuh
name: Comin, Riccardo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Multiferroic materials have garnered wide interest for their exceptional static and dynamical magnetoelectric properties. In particular, type-II multiferroics exhibit an inversion-symmetry-breaking magnetic order which directly induces a ferroelectric polarization through various mechanisms, such as the spin-current or the inverse Dzyaloshinskii-Moriya effect. This intrinsic coupling between the magnetic and dipolar order parameters results in record-strength magnetoelectric effects. Two dimensional materials possessing such intrinsic multiferroic properties have been long sought for harnessing magnetoelectric coupling in nanoelectronic devices. Here, we report the discovery of type-II multiferroic order in a single atomic layer of the transition metal-based van der Waals material NiI2. The multiferroic state of NiI2 is characterized by a proper-screw spin helix with given handedness, which couples to the charge degrees of freedom to produce a chirality-controlled electrical polarization. We use circular dichroic Raman measurements to directly probe the magneto-chiral ground state and its electromagnon modes originating from dynamic magnetoelectric coupling. Using birefringence and second-harmonic generation measurements, we detect a highly anisotropic electronic state simultaneously breaking three-fold rotational and inversion symmetry, and supporting polar order. The evolution of the optical signatures as a function of temperature and layer number surprisingly reveals an ordered magnetic, polar state that persists down to the ultrathin limit of monolayer NiI2. These observations establish NiI2 and transition metal dihalides as a new platform for studying emergent multiferroic phenomena, chiral magnetic textures and ferroelectricity in the two-dimensional limit.
Catch-up growth and growth deficits: Nine-year annual panel child growth for native Amazonians in Bolivia
Creators: name: Zhang, Rebecca
name: Undurraga, Eduardo A.
name: Zeng, Wu
name: Reyes-García, Victoria
name: Tanner, Susan
name: Leonard, William R.
name: Behrman, Jere R.
name: Godoy, Ricardo A.
Publisher: name: Taylor & Francis
Year: 2016
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases

description: Background: Childhood growth stunting is negatively associated with cognitive and health outcomes, and is claimed to be irreversible after age 2. Aim: To estimate growth rates for children aged 2–7 who were stunted (sex-age standardised z-score [HAZ] −1) at baseline and tracked annually until age 11; frequency of movement among height categories; and variation in height predicted by early childhood height. Subjects and methods: This study used a 9-year annual panel (2002–2010) from a native Amazonian society of horticulturalists–foragers (Tsimane’; n = 174 girls; 179 boys at baseline). Descriptive statistics and random-effect regressions were used. Results: This study found some evidence of catch-up growth in HAZ, but persistent height deficits. Children stunted at baseline improved 1 HAZ unit by age 11 and had higher annual growth rates than non-stunted children. Marginally-stunted boys had a 0.1 HAZ units higher annual growth rate than non-stunted boys. Despite some catch up, ∼ 80% of marginally-stunted children at baseline remained marginally-stunted by age 11. The height deficit increased from age 2 to 11. Modest year-to-year movement was found between height categories. Conclusions: The prevalence of growth faltering among the Tsimane’ has declined, but hurdles still substantially lock children into height categories.
Kaniadakis Holographic Dark Energy in non-flat Universe
Creators: name: Sharma, Umesh Kumar
name: Dubey, Vipin Chandra
name: Ziaie, A. H.
name: Moradpour, H.
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: In present research, we construct Kaniadakis holographic dark energy (KHDE) model within a non-flat Universe by considering the Friedmann-Robertson-Walker (FRW) metric with open and closed spatial geometries. We therefore investigate cosmic evolution by employing the density parameter of the dark energy (DE), the equation of state (EoS) parameter and the deceleration parameter (DP). The transition from decelerated to accelerated expanding phase for the KHDE Universe is explained through dynamical behavior of DP. With the classification of matter and DE dominated epochs, we find that the Universe thermal history can be defined through the KHDE scenario, and moreover, a phantom regime is experienceable. The model parameters are constrained by applying the newest $30$ data cases of $H(z)$ measurements, over the redshift span $0.07 \leq z \leq 2.36$, and the distance modulus measurement of the recent Union $2.1$ data set of type Ia supernovae. The classical stability of KHDE model has also been addressed.
description: 14 pages, 6 figures
Bangladesh Rice Value Chain Project
Creators: name: Hegazy, Rashad
Publisher: name: figshare
Year: 2016
Subjects: subject: 99901 Agricultural Engineering
subject: FOS: Other engineering and technologies
subject: 90805 Food Processing
subject: 140201 Agricultural Economics
subject: FOS: Economics and business
subject: 160301 Family and Household Studies
subject: FOS: Sociology
subject: 160511 Research, Science and Technology Policy
subject: FOS: Political science

description:
Development of Rice Value Chain Project in Bangladesh
COMPLICAÇÕES NA GRAVIDEZ QUE SE MANIFESTAM EM IDADE AVANÇADA: UMA REVISÃO INTEGRATIVA
Creators: name: Tavares, Larissa
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 420401
subject: Clinical midwifery

description: Trata-se de uma revisão integrativa da literatura que busca investigar quais os desfechos adversos que ocorrem no parto de mulheres que gestaram em idade avançada. Esse estudo entende gestação em idade avançada como aquela que ocorre em mulheres com idade igual ou superior a 35 anos. A questão norteadora adotada foi: “Quais as complicações maternas que se manifestam no parto de mulheres em idade avançada?”.Foi realizada uma busca sem restrição de tempo nas bases de dados, sendo que esta precisou ser reiniciada com o novo protocolo sendo elaborado em dezembro de 2023 e a nova busca sendo realizada em janeiro de 2024, com início da exclusão das duplicatas e leitura dos artigos. Essa necessidade de alteração na estratégia está melhor descrita no relatório parcial anexado.
Christian Perronne
Creators: name: Leibowitch, Jacques (1942-2020)
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: 1 fichier (1 page)
description: Autre destinataire : Joseph Saba
Role of symmetry in quantum search via continuous-time quantum walk
Creators: name: Wang, Yunkai
name: Wu, Shengjun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: For quantum search via the continuous-time quantum walk, the evolution of the whole system is usually limited in a small subspace. In this paper, we discuss how the symmetries of the graphs are related to the existence of such an invariant subspace, which also suggests a dimensionality reduction method based on group representation theory. We observe that in the one-dimensional subspace spanned by each desired basis state which assembles the identically evolving original basis states, we always get a trivial representation of the symmetry group. So we could find the desired basis by exploiting the projection operator of the trivial representation. Besides being technical guidance in this type of problem, this discussion also suggests that all the symmetries are used up in the invariant subspace and the asymmetric part of the Hamiltonian is very important for the purpose of quantum search.
description: 8 pages, 5 figures
Quantized Federated Learning under Transmission Delay and Outage Constraints
Creators: name: Wang, Yanmeng
name: Xu, Yanqing
name: Shi, Qingjiang
name: Chang, Tsung-Hui
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Federated learning (FL) has been recognized as a viable distributed learning paradigm which trains a machine learning model collaboratively with massive mobile devices in the wireless edge while protecting user privacy. Although various communication schemes have been proposed to expedite the FL process, most of them have assumed ideal wireless channels which provide reliable and lossless communication links between the server and mobile clients. Unfortunately, in practical systems with limited radio resources such as constraint on the training latency and constraints on the transmission power and bandwidth, transmission of a large number of model parameters inevitably suffers from quantization errors (QE) and transmission outage (TO). In this paper, we consider such non-ideal wireless channels, and carry out the first analysis showing that the FL convergence can be severely jeopardized by TO and QE, but intriguingly can be alleviated if the clients have uniform outage probabilities. These insightful results motivate us to propose a robust FL scheme, named FedTOE, which performs joint allocation of wireless resources and quantization bits across the clients to minimize the QE while making the clients have the same TO probability. Extensive experimental results are presented to show the superior performance of FedTOE for deep learning-based classification tasks with transmission latency constraints.
Scalar dark matter and Muon $g-2$ in a $U(1)_{L_μ-L_τ}$ model
Creators: name: Qi, XinXin
name: Yang, AiGeng
name: Liu, Wei
name: Sun, Hao
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We consider a simple scalar dark matter model within the frame of gauged $L_μ-L_τ$ symmetry. A gauge boson $Z'$ as well as two scalar fields $S$ and $Φ$ are introduced to the Standard Model (SM). $S$ and $Φ$ are SM singlet but both with $U(1)_{L_μ-L_τ}$ charge. The real component and imaginary component of $S$ can acquire different masses after spontaneously symmetry breaking, and the lighter one can play the role of dark matter which is stabilized by the residual $Z_2$ symmetry. A viable parameter space is considered to discuss the possibility of light dark matter as well as co-annihilation case, and we present current $(g-2)_μ$ anomaly, Higgs invisible decay, dark matter relic density as well as direct detection constriants on the parameter space.
description: 9 figures, 9 pages
MPEC 2024-E41 : 2024 EY
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 EY

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
COMPLICAÇÕES NA GRAVIDEZ QUE SE MANIFESTAM EM IDADE AVANÇADA: UMA REVISÃO INTEGRATIVA
Creators: name: Tavares, Larissa
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 420401
subject: Clinical midwifery

description: Trata-se de uma revisão integrativa da literatura que busca investigar quais os desfechos adversos que ocorrem no parto de mulheres que gestaram em idade avançada. Esse estudo entende gestação em idade avançada como aquela que ocorre em mulheres com idade igual ou superior a 35 anos. A questão norteadora adotada foi: “Quais as complicações maternas que se manifestam no parto de mulheres em idade avançada?”. Além disso, serão selecionados estudos realizados nos últimos 10 anos, devido às portarias mais recentes voltadas para a saúde da família que implicam em melhorias no pré-natal e, consequentemente, há mudança na qualidade da gestação e dos desfechos obstétricos.