cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Effect of viscosity on surface acoustic wave driven collective particle dynamics in sessile droplets: nebula, black holes and white dwarfs
Creators: name: Song, Shuren
name: Zhou, Jia
name: Riaud, Antoine
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: Surface acoustic waves (SAW) can concentrate micro-particles in droplets within seconds. Yet, the mechanism is not clear and existing explanations fail by several orders of magnitude. In this paper, we analyze the effect of fluid viscosity and particle size on SAW-driven collective particle dynamics in droplets. In most of our experiments, the particles do not aggregate but instead remain away from the droplet center, thereby forming "black holes". We show that the black holes are due to steric hindrance wherein the poloidal streamlines that should drive particles to the center of the droplet come too close to the solid, so that the particles carried along these streamlines touch the solid wall on the edge of the black hole before reaching the center of the droplet. The size of these black holes is correlated with the size of the aggregates formed in less viscous droplets. This suggests a common formation mechanism for black holes and white dwarfs (aggregates). In the former, the particles touching the solid would be washed away by the fluid, whereas in the latter the particles would remain in contact with the solid and roll to the center of the droplet where an aggregate is formed. We also discuss the stability conditions of the aggregate at the bottom of the droplet. The concept of hydrodynamic shielding is then used to concentrate 1 $μ$m particles using 10 $μ$m beads as shields.
Modulation instability and non-degenerate Akhmediev breathers of Manakov equations
Creators: name: Liu, Chong
name: Chen, Shao-Chun
name: Yao, Xiankun
name: Akhmediev, Nail
Publisher: name: arXiv
Year: 2022
Subjects: subject: Pattern Formation and Solitons (nlin.PS)
subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We reveal a new class of \textit{non-degenerate} Akhmediev breather (AB) solutions of Manakov equations that only exist in the focusing case. Based on exact solutions, we present the existence diagram of such excitations on the frequency-wavenumber plane. Conventional single-frequency modulation instability leads to simultaneous excitation of three ABs with two of them being non-degenerate.
description: 6 pages, 3 figures
Application of metal-tolerant bacteria isolated from aquaculture pond wastewater in the bioremediation of metal-containing effluent
Creators: name: Temitayo O. Olowomofe
Publisher: name: Asia-Pacific Journal of Science and Technology
Year: 2023
Subjects: Heavy metals, Fish pond, Paint-manufacturing effluent, Metal-tolerant bacteria, Consortium, Biosorption

description: Asia-Pacific Journal of Science and Technology, 28, 5, 10
Direct laser cooling of calcium monohydride molecules
Creators: name: Vázquez-Carson, S. F.
name: Sun, Q.
name: Dai, J.
name: Mitra, D.
name: Zelevinsky, T.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Quantum Gases (cond-mat.quant-gas)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: We demonstrate optical cycling and sub-Doppler laser cooling of a cryogenic buffer-gas beam of calcium monohydride (CaH) molecules. We measure vibrational branching ratios for laser cooling transitions for both excited electronic states A and B. We measure further that repeated photon scattering via the $A\leftarrow X$ transition is achievable at a rate of $\sim$ $1.6\times10^6$ photons/s and demonstrate the interaction-time limited scattering of $\sim$ $200$ photons by repumping the largest vibrational decay channel. We also demonstrate the ability to sub-Doppler cool a molecular beam of CaH through the magnetically assisted Sisyphus effect. Using a standing wave of light, we lower the molecular beam's transverse temperature from $12.2(1.2)$ mK to $5.7(1.1)$ mK. We compare these results to sub-Doppler forces modeled using optical Bloch equations and Monte Carlo simulations of the molecular beam trajectories. This work establishes a clear pathway for creating a magneto-optical trap (MOT) of CaH molecules. Such a MOT could serve as a starting point for production of ultracold hydrogen gas via dissociation of a trapped CaH cloud.
description: 11 pages, 4 figures, 3 tables
Improving personalized link prediction by hybrid diffusion
Creators: name: Liu, Jin-Hu
name: Zhu, Yu-Xiao
name: Zhou, Tao
Publisher: name: arXiv
Year: 2015
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Social and Information Networks (cs.SI)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Inspired by traditional link prediction and to solve the problem of recommending friends in social networks, we introduce the personalized link prediction in this paper, in which each individual will get equal number of diversiform predictions. While the performances of many classical algorithms are not satisfactory under this framework, thus new algorithms are in urgent need. Motivated by previous researches in other fields, we generalize heat conduction process to the framework of personalized link prediction and find that this method outperforms many classical similarity-based algorithms, especially in the performance of diversity. In addition, we demonstrate that adding one ground node who is supposed to connect all the nodes in the system will greatly benefit the performance of heat conduction. Finally, better hybrid algorithms composed of local random walk and heat conduction have been proposed. Numerical results show that the hybrid algorithms can outperform other algorithms simultaneously in all four adopted metrics: AUC, precision, recall and hamming distance. In a word, this work may shed some light on the in-depth understanding of the effect of physical processes in personalized link prediction.
The Rotation of the halo of NGC 6822 from the radial velocities of carbon stars
Creators: name: Thompson, Graham P
name: Ryan, Sean G
name: Sibbons, Lisette F
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Using spectra taken with the AAOmega spectrograph, we measure the radial velocities of over 100 stars, many of which are intermediate age carbon stars, in the direction of the dwarf irregular galaxy NGC 6822. Kinematic analysis suggests that the carbon stars in the sample are associated with NGC 6822, and estimates of its radial velocity and galactic rotation are made from a star-by-star analysis of its carbon star population. We calculate a heliocentric radial velocity for NGC 6822 of $-51\pm3$ \kms\ and show that the population rotates with a mean rotation speed of $11.2\pm2.1$ \kms\ at a mean distance of 1.1 kpc from the galactic centre, about a rotation axis with a position angle of $26^\circ\pm13^\circ$, as projected on the sky. This is close to the rotation axis of the HI gas disk and suggests that NGC 6822 is not a polar ring galaxy, but is dynamically closer to a late type galaxy. However, the rotation axis is not aligned with the minor axis of the AGB isodensity profiles and this remains a mystery.
description: 20 pages, 7 figures, 4 tables
Implementierung einer kontinuierlichen Prozessführung zur Produktivitätssteigerung bei der Kultivierung tierischer Zellen
Creators: name: Schellenberg, Jana
Publisher: name: Hannover : Institutionelles Repositorium der Leibniz Universität Hannover
Year: 2023
Subjects: subject: continuous cultivation
subject: CHO-cells
subject: monoclonal antibodies
subject: process optimization
subject: perfusion
subject: microfluidic cell retention
subject: 3D-print
subject: kontinuierliche Kultivierung
subject: CHO-Zellen
subject: monoklonaler Antikörper
subject: Perfusion
subject: Prozessoptimierung
subject: mikrofluidische Zellretention
subject: 3D-Druck
subject: Dewey Decimal Classification::500 | Naturwissenschaften

description: Durch technologische Innovationen in der Prozessüberwachung und die Entwicklung von Single-Use Ausrüstung rücken kontinuierliche Kultivierungsprozesse zur Herstellung monoklonaler Antikörper (mAK) zunehmend in den Fokus der biopharmazeutischen Industrie. Daher existieren neben zahlreichen Design of Experiment (DoE) Ansätzen zur Produktivitätssteigerung im etablierten Fed Batch Betrieb vermehrt auch Transferprotokolle in Perfusionsprozesse, bei denen vielfach höhere Umsätze durch Hochzelldichte-Kultivierungen erreicht werden. Hierbei werden derzeit die Kapazitätsgrenzen der verwendeten membranbasierten Zellretentionssysteme im Hinblick auf die Trenneffizienz und die Produktausbeute erreicht, sodass der Bedarf nach neuen Methoden zur Zellabtrennung steigt. Im Rahmen dieser Arbeit wurden mehrere Ansätze zur Produktivitätssteigerung einer CHO-Zelllinie untersucht. Eine Steigerung der zellspezifischen Produktivität um 8 % in einem etablierten Fed Batch Prozess wurde durch eine pH-Wert Erhöhung innerhalb der exponentiellen Wachstumsphase erreicht. Zusätzlich besteht ein nicht-linearer Zusammenhang zwischen der induzierten Produktivität und einer Zunahme des Zelldurchmessers. Die maximale Lebendzellzahl konnte außerdem durch eine semi-kontinuierliche Fütterungsstrategie um 3,1 Mio. Zellen/mL gesteigert werden. Im zweiten Ansatz wurde ein kontinuierlicher quasi-Steady State im Chemostaten bei 8 Mio. Zellen/mL mit einer mAK-Ausbeute von 0,2 g/L*Tag erreicht. Zusätzlich konnte eine reversible glucoseinduzierte Wachstumsinhibierung der Zellen bei > 8 g/L (+1 Tag) mit erhöhter spezifischer Produktivität detektiert werden. Für eine Steigerung der kontinuierlichen mAK-Ausbeute durch erhöhte Zelldichten wurde ein Perfusionsprozess mittels einer 3D-gedruckten Zellseparationsspirale im Hinblick auf die Trenneffizienz und die Stabilität der Zellretention evaluiert. Neben einer Designoptimierung wurde die Prozessstabilität durch die Implementierung einer automatischen Spülung und einer Flussratenüberwachung mit webbasierter Steuerung gesteigert. Die Langzeitstabilität des verwendeten Druckmaterials sowie die Scherstressbildung wurden in einem Perfusionsprozess > 500 h evaluiert.
Revisiting the OH-CH correlation in diffuse clouds
Creators: name: Mookerjea, Bhaswati
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Based on the analysis of available published data and archival data along 24 sightlines (5 of which are new) we derive more accurate estimates of the column densities of OH and CH towards diffuse/translucent clouds and revisit the typically observed correlation between the abundances of these species. The increase in the sample size was possible because of the equivalence of the column densities of CH derived from a combination of the transitions at 3137 & 3143 Angstrom, and a combination of transitions at 3886 & 3890 Angstrom, which we have demonstrated here. We find that with the exception of four diffuse clouds, the entire source sample shows a clear correlation between the column densities of OH and CH similar to previous observations. The analysis presented also verifies the theoretically predicted oscillator strengths of the OH A--X (3078 & 3082 Angstrom), CH B--X (3886 & 3890 Angstrom) and C--X (3137 & 3143 Angstrom) transitions. We estimate N(H) and N(H2) from the observed E(B-V) and N(CH) respectively. The N(OH)/N(CH) ratio is not correlated with the molecular fraction of hydrogen in the diffuse/translucent clouds. We show that with the exception of HD 34078 for all the clouds the observed column density ratios of CH and OH can be reproduced by simple chemical models which include gas-grain interaction and gas-phase chemistry. The enhanced N(OH)/N(CH) ratio seen towards the 3 new sightlines can be reproduced primarily by considering different cosmic ray ionization rates.
description: Accepted for publication in MNRAS. 6 pages, 4 figures
Anti-?-glucosidase and anti-inflammatory activities of fatty acid, fatty acid ester, and phytosterol compounds from papaya (Carica papaya L.) seed extracts
Creators: name: Sucharat Sanongkiet
Publisher: name: Asia-Pacific Journal of Science and Technology
Year: 2023
Subjects: Agricultural residues, Gas Chromatography-mass Spectrometry (GC-MS), Natural extract, Papaya, Seed extract content

description: Asia-Pacific Journal of Science and Technology, 28, 5, 9
Effect of synthetic nutrient concentrations in medium containing tofu wastewater on Spirulina platensis biomass production
Creators: name: Syaichurrozi, Iqbal
Publisher: name: Asia-Pacific Journal of Science and Technology
Year: 2023
Subjects: Biomass production, Cultivation, Microalgae, Protein production, Spirulina platensis, Synthetic nutrients, Tofu wastewater

description: Asia-Pacific Journal of Science and Technology, 28, 5, 12
The post-antibiotic effect and its relevance to optimal antibiotic dosing
Creators: name: Munckhof., Wendy Johanna
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Enhancement of heat and mass transfer by herringbone microstructures in a simple shear flow
Creators: name: Wang, Yanxing
name: Wan, Hui
name: Wei, Tie
name: Abraham, John
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Physical sciences

description: The heat and mass transfer characteristics in a simple shear flow over staggered herringbone structures are numerically investigated with the lattice Boltzmann method. Two flow motions are identified. The first is a spiral flow oscillation above the herringbone structures that advects heat and mass from the top plane to herringbone structures. The second is a flow recirculation in the grooves between herringbone ridges that advects heat and mass from the area around herringbone tips to the side walls of herringbone ridges and the bottom surfaces. These two basic flow motions couple together to form complex transport mechanisms. The results show that when advective heat and mass transfer takes effect at relatively larger Reynolds and Schmidt numbers, the dependence of the total transfer rate on the Schmidt number follows a power law, with the power being the same as that in the Dittus-Boelter equation for turbulent heat transfer. As Reynolds number increases, the dependence of the total transfer rate on Reynolds number also approaches a power law, and the power is close to that in the Dittus-Boelter equation.
EFTfitter---A tool for interpreting measurements in the context of effective field theories
Creators: name: Castro, Nuno
name: Erdmann, Johannes
name: Grunwald, Cornelius
name: Kröninger, Kevin
name: Rosien, Nils-Arne
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Over the past years, the interpretation of measurements in the context of effective field theories has attracted much attention in the field of particle physics. We present a tool for interpreting sets of measurements in such models using a Bayesian ansatz by calculating the posterior probabilities of the corresponding free parameters numerically. An example is given, in which top-quark measurements are used to constrain anomalous couplings at the Wtb-vertex.
description: 10 pages, 7 figures, 2 tables, submitted to EPJC
Performance of SWAT hydrological model of partially-gauged Nambul River urbanized catchment in Manipur IHR, India
Creators: name: Ningthoujam, Victoria
Publisher: name: Asia-Pacific Journal of Science and Technology
Year: 2023
Subjects: Remotely sensed, SWAT-CUP, SUFI-2, Surface runoff, Evapotranspiration, Sediment yield, R2, Soil moisture, Nash-sutcliffe, p-factor, r-factor

description: Asia-Pacific Journal of Science and Technology, 28, 5, 11
Quantum-enhanced Markov chain Monte Carlo
Creators: name: Layden, David
name: Mazzola, Guglielmo
name: Mishmash, Ryan V.
name: Motta, Mario
name: Wocjan, Pawel
name: Kim, Jin-Sung
name: Sheldon, Sarah
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Sampling from complicated probability distributions is a hard computational problem arising in many fields, including statistical physics, optimization, and machine learning. Quantum computers have recently been used to sample from complicated distributions that are hard to sample from classically, but which seldom arise in applications. Here we introduce a quantum algorithm to sample from distributions that pose a bottleneck in several applications, which we implement on a superconducting quantum processor. The algorithm performs Markov chain Monte Carlo (MCMC), a popular iterative sampling technique, to sample from the Boltzmann distribution of classical Ising models. In each step, the quantum processor explores the model in superposition to propose a random move, which is then accepted or rejected by a classical computer and returned to the quantum processor, ensuring convergence to the desired Boltzmann distribution. We find that this quantum algorithm converges in fewer iterations than common classical MCMC alternatives on relevant problem instances, both in simulations and experiments. It therefore opens a new path for quantum computers to solve useful--not merely difficult--problems in the near term.
Taxonomy of Attacks on Open-Source Software Supply Chains
Creators: name: Ladisa, Piergiorgio
name: Plate, Henrik
name: Martinez, Matias
name: Barais, Olivier
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: The widespread dependency on open-source software makes it a fruitful target for malicious actors, as demonstrated by recurring attacks. The complexity of today's open-source supply chains results in a significant attack surface, giving attackers numerous opportunities to reach the goal of injecting malicious code into open-source artifacts that is then downloaded and executed by victims. This work proposes a general taxonomy for attacks on open-source supply chains, independent of specific programming languages or ecosystems, and covering all supply chain stages from code contributions to package distribution. Taking the form of an attack tree, it covers 107 unique vectors, linked to 94 real-world incidents, and mapped to 33 mitigating safeguards. User surveys conducted with 17 domain experts and 134 software developers positively validated the correctness, comprehensiveness and comprehensibility of the taxonomy, as well as its suitability for various use-cases. Survey participants also assessed the utility and costs of the identified safeguards, and whether they are used.
Shock Breakout and Early Light Curves of Type II-P Supernovae Observed with Kepler
Creators: name: Garnavich, P. M.
name: Tucker, B. E.
name: Rest, A.
name: Shaya, E. J.
name: Olling, R. P.
name: Kasen, D.
name: Villar, A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We discovered two transient events in the Kepler field with light curves that strongly suggest they are type II-P supernovae. Using the fast cadence of the Kepler observations we precisely estimate the rise time to maximum for KSN2011a and KSN2011d as 10.5$\pm 0.4$ and 13.3$\pm 0.4$ rest-frame days respectively. Based on fits to idealized analytic models, we find the progenitor radius of KSN2011a (280$\pm 20$ R$_\odot$) to be significantly smaller than that for KSN2011d (490$\pm 20$ R$_\odot$) but both have similar explosion energies of 2.0$\pm 0.3\times 10^{51}$ erg. The rising light curve of KSN2011d is an excellent match to that predicted by simple models of exploding red supergiants (RSG). However, the early rise of KSN2011a is faster than the models predict possibly due to the supernova shockwave moving into pre-existing wind or mass-loss from the RSG. A mass loss rate of $10^{-4}$ M$_\odot$ yr$^{-1}$ from the RSG can explain the fast rise without impacting the optical flux at maximum light or the shape of the post-maximum light curve. No shock breakout emission is seen in KSN2011a, but this is likely due to the circumstellar interaction suspected in the fast rising light curve. The early light curve of KSN2011d does show excess emission consistent with model predictions of a shock breakout. This is the first optical detection of a shock breakout from a type II-P supernova.
description: 7 pages, 4 figures, accepted to the ApJ
Nanoscale Fabrication of Graphene by Hydrogen-Plasma Etching
Creators: name: Yokosawa, Takamoto
name: Kamada, Masahiro
name: Ochi, Taisuke
name: Koga, Yuki
name: Takehara, Rin
name: Hara, Masahiro
name: Matsui, Tomohiro
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Graphene is attracting vast interest due to its superior electronic and mechanical properties. However, structure and electronic properties of its edge are often neglected, although they are important for nanoscale devices because the edge ratio becomes larger by decreasing the device size. In this study, we suggest a way to fabricate a graphene with atomically aligned zigzag edges by applying hydrogen-plasma etching (HPE) technique. By patterning a graphene prior to HPE, it is succeeded to shape a graphene in desired structure. Both atomic force microscopy and Raman spectroscopy confirm that the graphene shaped by this technique preserves its honeycomb structure even on the edge, which is aligned with zigzag structure. Although the mechanism of the anisotropic etching by hydrogen-plasma have not been clarified yet, the sample position dependence of the etching rate suggests that the hydrogen-radicals are responsible for the anisotropic etching.
description: 5 pages, 4 figures
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework
Creators: name: Aguiar, Gabriel
name: Krawczyk, Bartosz
name: Cano, Alberto
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Class imbalance poses new challenges when it comes to classifying data streams. Many algorithms recently proposed in the literature tackle this problem using a variety of data-level, algorithm-level, and ensemble approaches. However, there is a lack of standardized and agreed-upon procedures and benchmarks on how to evaluate these algorithms. This work proposes a standardized, exhaustive, and comprehensive experimental framework to evaluate algorithms in a collection of diverse and challenging imbalanced data stream scenarios. The experimental study evaluates 24 state-of-the-art data streams algorithms on 515 imbalanced data streams that combine static and dynamic class imbalance ratios, instance-level difficulties, concept drift, real-world and semi-synthetic datasets in binary and multi-class scenarios. This leads to a large-scale experimental study comparing state-of-the-art classifiers in the data stream mining domain. We discuss the advantages and disadvantages of state-of-the-art classifiers in each of these scenarios and we provide general recommendations to end-users for selecting the best algorithms for imbalanced data streams. Additionally, we formulate open challenges and future directions for this domain. Our experimental framework is fully reproducible and easy to extend with new methods. This way, we propose a standardized approach to conducting experiments in imbalanced data streams that can be used by other researchers to create complete, trustworthy, and fair evaluation of newly proposed methods. Our experimental framework can be downloaded from https://github.com/canoalberto/imbalanced-streams.
Nontrivial solutions for a class of gradient-type quasilinear elliptic systems
Creators: name: Candela, Anna Maria
name: Sportelli, Caterina
Publisher: name: arXiv
Year: 2022
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 35J50, 35J92, 47J30, 58E05

description: The aim of this paper is investigating the existence of weak bounded solutions of the gradient-type quasilinear elliptic system $$(P)\qquad \left\{ \begin{array}{ll} - {\rm div} ( a_i(x, u_i, \nabla u_i) ) + A_{i, t} (x, u_i, \nabla u_i) = G_i(x, \mathbf{u}) &\hbox{ in $Ω$}\\ \quad\qquad\qquad\qquad\qquad \mbox{ for }\; i\in\{1,\dots,m\},\\ \mathbf{u} = 0 &\hbox{ on $\partialΩ$,} \end{array} \right.$$ with $m\geq 2$ and $\mathbf{u}=(u_1,\dots, u_{m})$, where $Ω\subset\mathbb{R}^N$ is an open bounded domain and some functions $A_i:Ω\times\mathbb{R} \times \mathbb{R}^N\rightarrow\mathbb{R}$, $i\in\{1,\dots,m\}$, and $G:Ω\times\mathbb{R}^m\rightarrow\mathbb{R}$ exist such that $a_i(x,t,ξ) = \nabla_ξ A_i(x,t,ξ)$, $A_{i, t} (x,t,ξ) = \frac{\partial A_i}{\partial t} (x,t,ξ)$ and $G_{i}(x,\mathbf{u}) = \frac{\partial G}{\partial u_i}(x,\mathbf{u})$. We prove that, under suitable hypotheses, the functional $\mathcal{J}$ related to problem $(P)$ is $\mathcal{C}^1$ on a "good" Banach space $X$ and satisfies the weak Cerami-Palais-Smale condition. Then, generalized versions of the Mountain Pass Theorems allow us to prove the existence of at least one critical point and, if $\mathcal{J}$ is even, of infinitely many ones, too.
Prenatal screening for Down syndrome
Creators: name: Mulvey., Sheila F.
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
When the extension property does not hold
Creators: name: Serhii, Dyshko
Publisher: name: arXiv
Year: 2015
Subjects: subject: Information Theory (cs.IT)
subject: Combinatorics (math.CO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: A complete extension theorem for linear codes over a module alphabet and the symmetrized weight composition is proved. It is shown that an extension property with respect to arbitrary weight function does not hold for module alphabets with a noncyclic socle.
description: 11 pages
Extending the spin excitation lifetime of a magnetic molecule on a proximitized superconductor
Creators: name: Vaxevani, Katerina
name: Li, Jingcheng
name: Trivini, Stefano
name: Ortuzar, Jon
name: Longo, Danilo
name: Wang, Dongfei
name: Pascual, Jose Ignacio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Magnetic molecules deposited on surfaces are a promising platform to individually address and manipulate spins. Long spin excitation lifetimes are necessary to utilize them in quantum information processing and data storage. Normally, coupling of the molecular spin with the conduction electrons of metallic surfaces causes fast relaxation of spin excitations into the ground state. However, the presence of superconducting paring effects in the substrate can protect the excited spin from decaying. In this work, we show that a proximity-induced superconducting gold film can sustain spin excitations of a FeTPP-Cl molecule for more than 80ns. This long value was determined by studying inelastic spin excitations of the S=5/2 multiplet of FeTPP-Cl on Au films over V(100) using scanning tunneling spectroscopy. The spin lifetime decreases with increasing film thickness, in apparent connection with the gradual gap-closing of a pair of de Gennes-Saint James resonances found inside the superconducting gap. Our results elucidate the use of proximitized gold electrodes for addressing quantum spins on surfaces, envisioning new routes for tuning the value of their spin lifetime.
description: 23 pages, 8 figures
Relation between clinical skills learned in COVID-19 pandemic in Mexico: a cross-sectional survey study.
Creators: name: Rodriguez-Bello, Xavier Abraham
name: Hassler Stefan Macías-Sánchez
name: Tzanda Lizeth López-Camarena
name: Guevara-Diaz, Jorge Guevara
name: Gómez-Oropeza, Irene
name: Orozco, Lisa Sheccid Dávila
name: Cárdenas-Ruiz, Cecilia
name: Salazar-Puente, José
name: Baltazar-Escobar, Gabriela
name: Castro-Mendoza, Evelin
name: Asociación Mexicana De Médicos En Formación, A.C.
Publisher: name: F1000 Research Limited
Year: 2023

description: The COVID-19 pandemic brought various positive and negative changes in all biopsychosocial axes of medical students and medical education. Therefore, it is relevant for medical education to evaluate the sequelae acquired after the pandemic period derived from the SARS-CoV2 infection, in which the clinical skills of physicians in training have been affected.
Olfaction-Associated Quality of Life: Polish Adaptation and Validation of a Questionnaire of Olfactory Disorders QOD-PL in patients with chronic rhinosinusitis.
Creators: name: Resler, Katarzyna
name: Oleszkiewicz, Anna
name: Fraczek, Marcin
name: Morawska-Kochman, Monika
name: Resler, Anna
name: Zatoński, Tomasz
name: Hummel, Thomas
Publisher: name: Zenodo
Year: 2023
Subjects: Olfaction-Associated Quality of Life
QOD-PL
questionnaire
smell los
olfactory dysfunction

description: QOD-PL questionnaire
Muon-spin relaxation study of the layered kagome superconductor CsV$_3$Sb$_5$
Creators: name: Shan, Zhaoyang
name: Biswas, Pabitra K.
name: Ghosh, Sudeep K.
name: Tula, T.
name: Hillier, Adrian D.
name: Adroja, Devashibhai
name: Cottrell, Stephen
name: Cao, Guang-Han
name: Liu, Yi
name: Xu, Xiaofeng
name: Song, Yu
name: Yuan, Huiqiu
name: Smidman, Michael
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: The ${\mathbb{Z}}_{2}$ topological metals $R$V$_3$Sb$_5$ ($R$ = K, Rb, Cs) with a layered kagome structure provide a unique opportunity to investigate the interplay between charge order, superconductivity and topology. Here, we report muon-spin relaxation/rotation ($μ$SR) measurements performed on CsV$_3$Sb$_5$ across a broad temperature range, in order to uncover the nature of the charge-density wave order and superconductivity in this material. From zero-field $μ$SR, we find that spontaneous magnetic fields appear below 50 K which is well below the charge-density wave transition ($T^* \sim 93$ K). We show that these spontaneous fields are dynamic in nature making it difficult to associate them with a hidden static order. The superconducting state of CsV$_3$Sb$_5$ is found to preserve time-reversal symmetry and the transverse-field $μ$SR results are consistent with a superconducting state that has two fully open gaps.
description: 8 pages, 6 figures
Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models
Creators: name: Basso, Joao
name: Gamarnik, David
name: Mei, Song
name: Zhou, Leo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Computational Complexity (cs.CC)
subject: Data Structures and Algorithms (cs.DS)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The Quantum Approximate Optimization Algorithm (QAOA) is a general purpose quantum algorithm designed for combinatorial optimization. We analyze its expected performance and prove concentration properties at any constant level (number of layers) on ensembles of random combinatorial optimization problems in the infinite size limit. These ensembles include mixed spin models and Max-$q$-XORSAT on sparse random hypergraphs. Our analysis can be understood via a saddle-point approximation of a sum-over-paths integral. This is made rigorous by proving a generalization of the multinomial theorem, which is a technical result of independent interest. We then show that the performance of the QAOA at constant levels for the pure $q$-spin model matches asymptotically the ones for Max-$q$-XORSAT on random sparse Erdős-Rényi hypergraphs and every large-girth regular hypergraph. Through this correspondence, we establish that the average-case value produced by the QAOA at constant levels is bounded away from optimality for pure $q$-spin models when $q\ge 4$ and is even. This limitation gives a hardness of approximation result for quantum algorithms in a new regime where the whole graph is seen.
description: 13+47 pages, updated introduction
LOFAR facet calibration
Creators: name: van Weeren, R. J.
name: Williams, W. L.
name: Hardcastle, M. J.
name: Shimwell, T. W.
name: Rafferty, D. A.
name: Sabater, J.
name: Heald, G.
name: Sridhar, S. S.
name: Dijkema, T. J.
name: Brunetti, G.
name: Brüggen, M.
name: Andrade-Santos, F.
name: Ogrean, G. A.
name: Röttgering, H. J. A.
name: Dawson, W. A.
name: Forman, W. R.
name: de Gasperin, F.
name: Jones, C.
name: Miley, G. K.
name: Rudnick, L.
name: Sarazin, C. L.
name: Bonafede, A.
name: Best, P. N.
name: Bîrzan, L.
name: Cassano, R.
name: Chyży, K. T.
name: Croston, J. H.
name: Ensslin, T.
name: Ferrari, C.
name: Hoeft, M.
name: Horellou, C.
name: Jarvis, M. J.
name: Kraft, R. P.
name: Mevius, M.
name: Intema, H. T.
name: Murray, S. S.
name: Orrú, E.
name: Pizzo, R.
name: Simionescu, A.
name: Stroe, A.
name: van der Tol, S.
name: White, G. J.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: LOFAR, the Low-Frequency Array, is a powerful new radio telescope operating between 10 and 240 MHz. LOFAR allows detailed sensitive high-resolution studies of the low-frequency radio sky. At the same time LOFAR also provides excellent short baseline coverage to map diffuse extended emission. However, producing high-quality deep images is challenging due to the presence of direction dependent calibration errors, caused by imperfect knowledge of the station beam shapes and the ionosphere. Furthermore, the large data volume and presence of station clock errors present additional difficulties. In this paper we present a new calibration scheme, which we name facet calibration, to obtain deep high-resolution LOFAR High Band Antenna images using the Dutch part of the array. This scheme solves and corrects the direction dependent errors in a number of facets that cover the observed field of view. Facet calibration provides close to thermal noise limited images for a typical 8 hr observing run at $\sim$ 5arcsec resolution, meeting the specifications of the LOFAR Tier-1 northern survey.
description: 17 pages, 12 figures, accepted for publication in ApJS
On the role of mechanosensitive binding dynamics in the pattern formation of active surfaces
Creators: name: Bonati, M.
name: Wittwer, L. D.
name: Aland, S.
name: Fischer-Friedrich, E.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: The actin cortex of an animal cell is a thin polymeric layer attached to the inner side of the plasma membrane. It plays a key role in shape regulation and pattern formation on the cellular and tissue scale and, in particular, generates the contractile ring during cell division. Experimental studies showed that the cortex is fluid-like but highly viscous on long time scales with a mechanics that is sensitively regulated by active and passive cross-linker molecules that tune active stress and shear viscosity. Here, we use an established minimal model of active surface dynamics of the cell cortex supplemented with the experimentally motivated feature of mechanosensitivity in cross-linker binding dynamics. Performing linear stability analysis and computer simulations, we show that cross-linker mechanosensitivity significantly enhances the versatility of pattern formation and enables self-organized formation of stable contractile rings.
description: 12 pages, 4 figures, 5 movies, supplementary material
Pressure tuning the Fermi-surface topology of the Weyl semimetal NbP
Creators: name: Reis, R. D. dos
name: Wu, S. C.
name: Sun, Y.
name: Ajeesh, M. O.
name: Shekhar, C.
name: Schmidt, M.
name: Felser, C.
name: Yan, B.
name: Nicklas, M.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We report on the pressure evolution of the Fermi surface topology of the Weyl semimetal NbP, probed by Shubnikov-de Haas oscillations in the magnetoresistance combined with ab-initio calculations of the band-structure. Although we observe a drastic effect on the amplitudes of the quantum oscillations, the frequencies only exhibit a weak pressure dependence up to 2.8 GPa. The pressure-induce variations in the oscillation frequencies are consistent with our band-structure calculations. Furthermore, we can relate the changes in the amplitudes to small modifications in the shape of the Fermi surface. Our findings evidenced the stability of the electronic band structure of NbP and demonstrate the power of combining quantum-oscillation studies and band-structure calculations to investigate pressure effects on the Fermi-surface topology in Weyl semimetals.
description: 8 pages, 6 figures
Inner Engine Shutdown from Transitions in the Angular Momentum Distribution in Collapsars
Creators: name: Batta, Aldo
name: Lee, Willaim H.
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: For the collapsar scenario to be effective in the production of Gamma Ray Bursts, the infalling star's angular momentum $J(r)$ must be larger than the critical angular momentum needed to form an accretion disk around a blackhole (BH), namely $J_{\rm crit} = 2r_{g}c$ for a Schwarzschild BH. By means of 3D SPH simulations, here we study the collapse and accretion onto black holes of spherical rotating envelopes, whose angular momentum distribution has transitions between supercritical ($J>J_{\rm crit}$) and subcritical ($J
description: 11 pages, 9 figures
Pilus-associated studies in Neisseria gonorrhoeae
Creators: name: Muir., Lalina Louise
Publisher: name: Monash University
Year: 2021

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Hypergiant V1302 Aql in 2001-2014
Creators: name: Valentina, Klochkova
name: Eugene, Chentsov
name: Anatoly, Miroshnichenko
name: Vladimir, Panchuk
name: Maksim, Yushkin
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present the results of a study of spectral features and the velocity field in the atmosphere and the circumstellar envelope of the hypergiant V1302 Aql, the optical counterpart of the IR source IRC+10420, based on high-resolution spectroscopic observations obtained in 2001-2014. We measured radial velocities of the following types of lines: forbidden and permitted pure emissions, absorption and emission components of lines of ions, pure absorptions (e.g., HeI, SiII), and interstellar components of the NaI D-lines, KI, and DIBs. The heliocentric radial velocity measured for pure absorptions as well as for the forbidden and permitted pure emissions is close to the systemic radial velocity and equal to Vr=63.7$\pm$0.3, 65.2$\pm$0.3, and 62.0$\pm$0.4 km/s, respectively. Positions of the absorption components of the lines with inverse P Cyg profiles are stable and indicate the presence of clumps moving toward the star with a velocity of $\sim$20 km/s. The average radial velocity of the DIBs is Vr(DIB)=4.6$\pm$0.2 km/s. Comparison of the absorption lines observed in 2001-2014 and those in earlier data shows no noticeable variations. We conclude that the hypergiant reached a phase of slowing down (or termination) of the effective temperature growth and is currently located near the high-temperature boundary of the Yellow Void in the Hertszprung-Russell diagramme.
description: 10 pages, 4 figures, 1 table
Generation of Twisted Gamma-Rays via Two-Photon Transition
Creators: name: Tashiro, Motomichi
name: Sasao, Noboru
name: Tanaka, Minoru
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Accelerator Physics (physics.acc-ph)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We present a new and efficient method of generating twisted gamma rays utilizing highly accelerated helium-like ions; they are excited to a chosen state by irradiating two optical lasers and emit a photon with orbital angular momentum in the deexcitation process. We study its emission rate together with other properties such as background and photo-ionization processes.
description: 20 pages, 11 figures
A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)
Creators: name: Lu, Yue
name: Mei, Gang
name: Piccialli, Francesco
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Soil consolidation is closely related to seepage, stability, and settlement of geotechnical buildings and foundations, and directly affects the use and safety of superstructures. Nowadays, the unidirectional consolidation theory of soils is widely used in certain conditions and approximate calculations. The multi-directional theory of soil consolidation is more reasonable than the unidirectional theory in practical applications, but it is much more complicated in terms of index determination and solution. To address the above problem, in this paper, we propose a deep learning method using physics-informed neural networks (PINN) to predict the excess pore water pressure of two-dimensional soil consolidation. In the proposed method, (1) a fully connected neural network is constructed, (2) the computational domain, partial differential equation (PDE), and constraints are defined to generate data for model training, and (3) the PDE of two-dimensional soil consolidation and the model of the neural network is connected to reduce the loss of the model. The effectiveness of the proposed method is verified by comparison with the numerical solution of PDE for two-dimensional consolidation. Using this method, the excess pore water pressure could be predicted simply and efficiently. In addition, the method was applied to predict the soil excess pore water pressure in the foundation in a real case at Tianjin port, China. The proposed deep learning approach can be used to investigate the large and complex multi-directional soil consolidation.
description: 23 pages
On-device modeling of user's social context and familiar places from smartphone-embedded sensor data
Creators: name: Campana, Mattia Giovanni
name: Delmastro, Franca
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: Context modeling and recognition represent complex tasks that allow mobile and ubiquitous computing applications to adapt to the user's situation. Current solutions mainly focus on limited context information generally processed on centralized architectures, potentially exposing users' personal data to privacy leakage, and missing personalization features. For these reasons on-device context modeling and recognition represent the current research trend in this area. Among the different information characterizing the user's context in mobile environments, social interactions and visited locations remarkably contribute to the characterization of daily life scenarios. In this paper we propose a novel, unsupervised and lightweight approach to model the user's social context and her locations based on ego networks directly on the user mobile device. Relying on this model, the system is able to extract high-level and semantic-rich context features from smartphone-embedded sensors data. Specifically, for the social context it exploits data related to both physical and cyber social interactions among users and their devices. As far as location context is concerned, we assume that it is more relevant to model the familiarity degree of a specific location for the user's context than the raw location data, both in terms of GPS coordinates and proximity devices. By using 5 real-world datasets, we assess the structure of the social and location ego networks, we provide a semantic evaluation of the proposed models and a complexity evaluation in terms of mobile computing performance. Finally, we demonstrate the relevance of the extracted features by showing the performance of 3 machine learning algorithms to recognize daily-life situations, obtaining an improvement of 3% of AUROC, 9% of Precision, and 5% in terms of Recall with respect to use only features related to physical context.
description: I request the withdrawal of the paper because it has been already submitted (and published) on arXiv with identifier 2306.15437