cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression
Creators: name: Lv, Yue
name: Xiang, Jinxi
name: Zhang, Jun
name: Yang, Wenming
name: Han, Xiao
name: Yang, Wei
Publisher: name: arXiv
Year: 2023
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Multimedia (cs.MM)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: I.4.2; E.4

description: The latest advancements in neural image compression show great potential in surpassing the rate-distortion performance of conventional standard codecs. Nevertheless, there exists an indelible domain gap between the datasets utilized for training (i.e., natural images) and those utilized for inference (e.g., artistic images). Our proposal involves a low-rank adaptation approach aimed at addressing the rate-distortion drop observed in out-of-domain datasets. Specifically, we perform low-rank matrix decomposition to update certain adaptation parameters of the client's decoder. These updated parameters, along with image latents, are encoded into a bitstream and transmitted to the decoder in practical scenarios. Due to the low-rank constraint imposed on the adaptation parameters, the resulting bit rate overhead is small. Furthermore, the bit rate allocation of low-rank adaptation is \emph{non-trivial}, considering the diverse inputs require varying adaptation bitstreams. We thus introduce a dynamic gating network on top of the low-rank adaptation method, in order to decide which decoder layer should employ adaptation. The dynamic adaptation network is optimized end-to-end using rate-distortion loss. Our proposed method exhibits universality across diverse image datasets. Extensive results demonstrate that this paradigm significantly mitigates the domain gap, surpassing non-adaptive methods with an average BD-rate improvement of approximately $19\%$ across out-of-domain images. Furthermore, it outperforms the most advanced instance adaptive methods by roughly $5\%$ BD-rate. Ablation studies confirm our method's ability to universally enhance various image compression architectures.
description: Accepted by ACM MM 2023, 13 pages, 12 figures
Databases of quantum periods for Fano manifolds
Creators: name: Coates, Tom
name: Kasprzyk, Alexander M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14-11, 14J45 (Primary), 14J33, 14N35 (Secondary)

description: Fano manifolds are basic building blocks in geometry - they are, in a precise sense, atomic pieces of shapes. The classification of Fano manifolds is therefore an important problem in geometry, which has been open since the 1930s. One can think of this as building a Periodic Table for shapes. A recent breakthrough in Fano classification involves a technique from theoretical physics called Mirror Symmetry. From this perspective, a Fano manifold is encoded by a sequence of integers: the coefficients of a power series called the regularized quantum period. Progress to date has been hindered by the fact that quantum periods require specialist expertise to compute, and descriptions of known Fano manifolds and their regularized quantum periods are incomplete and scattered in the literature. We describe databases of regularized quantum periods for Fano manifolds in dimensions up to four. The databases in dimensions one, two, and three are complete; the database in dimension four will be updated as new four-dimensional Fano manifolds are discovered and new regularized quantum periods computed.
description: 11 pages
Ideals, Determinants, and Straightening: Proving and Using Lower Bounds for Polynomial Ideals
Creators: name: Andrews, Robert
name: Forbes, Michael A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computational Complexity (cs.CC)
subject: FOS: Computer and information sciences

description: We show that any nonzero polynomial in the ideal generated by the $r \times r$ minors of an $n \times n$ matrix $X$ can be used to efficiently approximate the determinant. For any nonzero polynomial $f$ in this ideal, we construct a small depth-three $f$-oracle circuit that approximates the determinant of size $Θ(r^{1/3})$ in the sense of border complexity. For many classes of algebraic circuits, this implies that every nonzero polynomial in the ideal generated by $r \times r$ minors is at least as hard to approximately compute as the determinant of size $Θ(r^{1/3})$. We also prove an analogous result for the Pfaffian of a $2n \times 2n$ skew-symmetric matrix and the ideal generated by Pfaffians of $2r \times 2r$ principal submatrices. This answers a recent question of Grochow about complexity in polynomial ideals in the setting of border complexity. We give several applications of our result, two of which are highlighted below. $\bullet$ We prove super-polynomial lower bounds for Ideal Proof System refutations computed by low-depth circuits. This extends the recent breakthrough low-depth circuit lower bounds of Limaye, Srinivasan, and Tavenas to the setting of proof complexity. For many natural circuit classes, we show that the approximative proof complexity of our hard instance is governed by the approximative circuit complexity of the determinant. $\bullet$ We construct new hitting set generators for polynomial-size low-depth circuits. For any $\varepsilon > 0$, we construct generators with seed length $O(n^\varepsilon)$ that attain a near-optimal tradeoff between their seed length and degree, and are computable by low-depth circuits of near-linear size (with respect to the size of their output). This matches the seed length of the generators recently obtained by Limaye, Srinivasan, and Tavenas, but improves on the generator's degree and circuit complexity.
description: Abstract shortened to meet arXiv length requirement. v2: Improvements to hitting set generator construction and lower bound for the Ideal Proof System
Effects of Backreaction on Power-Maxwell Holographic Superconductors in Gauss-Bonnet Gravity
Creators: name: Salahi, Hamid Reza
name: Sheykhi, Ahmad
name: Montakhab, Afshin
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We analytically and numerically investigate the properties of s-wave holographic superconductors by considering the effects of scalar and gauge fields on the background geometry in five dimensional Einstein-Gauss-Bonnet gravity. We assume the gauge field to be in the form of the Power-Maxwell nonlinear electrodynamics. We employ the Sturm-Liouville eigenvalue problem for analytical calculation of the critical temperature and the shooting method for the numerical investigation. Our numerical and analytical results indicate that higher curvature corrections affect condensation of the holographic superconductors with backreaction. We observe that the backreaction can decrease the critical temperature of the holographic superconductors, while the Power-Maxwell electrodynamics and Gauss-Bonnet coefficient term may increase the critical temperature of the holographic superconductors. We find that the critical exponent has the mean-field value $β=1/2$, regardless of the values of Gauss-Bonnet coefficient, backreaction and Power-Maxwell parameters.
description: 19 pages, 1 figure
Bioremediation of contaminated waters via microbial electrochemical reactions
Creators: name: Sulonen, Mira
name: Avignone Rossa, Claudio
Publisher: name: Zenodo
Year: 2020

description: Industrial applications have contaminated environmental waters with complex mixtures of anthropogenic toxic compounds, including chlorinated hydrocarbons and heavy metals. Microbial populations at the contaminated sites can often naturally convert toxic contaminants into harmless end- products, but the efficiency of the remediation can be limited by lack of suitable electron donors or acceptors. Certain micro-organisms can exchange electrons directly or via a mediator with solid matter, such as an electrode in an electrochemical system. This enables the conversion of the chemical energy stored in the contaminants to electrical energy. Alternatively, electrical energy can be used to drive the microbial degradation of the contaminants. Bio-electrochemical systems were inoculated with sediment samples collected from environmental sites contaminated with metals or organic pollutants to enrich electroactive microbial cultures capable of efficient degradation of the contaminants. The enrichment was done in two-chamber bio-electrochemical systems with either bioanodes (for oxidisable contaminants) and/or biocathodes (for reducible contaminants). The required electrical energy input or obtainable output was measured using linear sweep voltammetry. The success of the enrichment was confirmed by the increasing electrical current output. The microbial communities in the original sediment samples and in the enriched biofilms were analysed in order to assess their metabolic potential and the possibilities to improve the remediation efficiency through the modification of the composition of the microbial communities using e.g. selective pressures. This research was done as a part of GREENER -project (InteGRated systems for Effective ENvironmEntal Remediation), developing green and sustainable low-cost bioremediation technologies. The project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No. 826312.
Beyond Cuts in Small Signal Scenarios -- Enhanced Sneutrino Detectability Using Machine Learning
Creators: name: Alvestad, Daniel
name: Fomin, Nikolai
name: Kersten, Jörn
name: Maeland, Steffen
name: Strümke, Inga
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of overlap between the observables for signal and background. We use two different models, XGBoost and a deep neural network, to exploit correlations between observables and compare this approach to the traditional cut-and-count method. We consider different methods to analyze the models' output, finding that a template fit generally performs better than a simple cut. By means of a Shapley decomposition, we gain additional insight into the relationship between event kinematics and the machine learning model output. We consider a supersymmetric scenario with a metastable sneutrino as a concrete example, but the methodology can be applied to a much wider class of models.
description: Published in The European Physical Journal C. The Version of Record is available online at: https://doi.org/10.1140/epjc/s10052-023-11532-9
Acoustic Scene Classification with Attention-based Neural Networks
Creators: name: Niu, Xinlei
Publisher: name: The Australian National University
Year: 2021
Subjects: Acoustic Sence Classification
Neural Network
CNNs

description: Auditory information provides great help to human beings to recognize their surroundings and positions. However, the sound we perceived in the environment is often a mixture of many sounds that happened at the same time. Therefore, developing a system to automatically extract information from unprocessed audio provides a huge potential for human beings. For example, it can be utilized by automatic diving, multimedia searching, robots, etc. In this study, we proposed two Attention-based Neural Network models to achieve automatic acoustic scene classification systems. Both two models are powerful in extracting information on audio spectrograms and classifying them into their corresponding scene labels. We applied two acoustic scene datasets to verify our model and got the best accuracies which are 15.7% and 8.0% higher than their CNN baselines.
Improving the experience of open, distance and flexible learners
Creators: name: Benson, Ron Leigh
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.
Protocolo-Pharmacologic treatmen of Clerembault syndrome. A systematic review.pdf
Creators: name: Castillo Bravo, Evelyn Ailin
name: Enríquez Taramuel, Dannya Johanna
name: Morocho, Carlos Daniel
name: Ayala Ramos, Brandon Jhoel Ayala Ramos
name: Saltos, Joselyn
name: Zúñiga Carrasco, Danny Raúl
name: Bernardo Rosero Mera, José
name: Emilio Acosta Villalba, César
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 520302
subject: Clinical psychology
classificationCode: 400305
subject: Biomedical instrumentation

description: Clerambault syndrome, also known as erotomania, is a rare mental disorder in which a person has the delusional belief that another person, usually of higher social status or celebrity, is in love with them.Drug treatment for Clerambault syndrome usually includes antipsychotics, which are often prescribed to treat delusional symptoms associated with Clerambault syndrome. These medications can help reduce the intensity of delusional beliefs.Additionally, it is important to address any underlying disorders that may be contributing to Clerambault syndrome.Treatment of Clerambault syndrome can be challenging, as patients often hold on to their delusional beliefs and may be resistant to seeking help.
Magnetocapacitance oscillations and thermoelectric effect in two-dimensional electron gas irradiated by microwaves
Creators: name: Levin, A. D.
name: Gusev, G. M.
name: Raichev, O. E.
name: Momtaz, Z. S.
name: Bakarov, A. K.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: To study the influence of microwave irradiation on two-dimensional electrons, we apply a method based on capacitance measurements in GaAs quantum well samples where the gate covers a central part of the layer. We find that the capacitance oscillations at high magnetic fields, caused by the oscillations of thermodynamic density of states, are not essentially modified by microwaves. However, in the region of fields below 1 Tesla, we observe another set of oscillation, with the period and the phase identical to those of microwave induced resistance oscillations. The phenomenon of microwave induced capacitance oscillations is explained in terms of violation of the Einstein relation between conductivity and the diffusion coefficient in the presence of microwaves, which leads to a dependence of the capacitor charging on the anomalous conductivity. We also observe microwave-induced oscillations in the capacitive response to periodic variations of external heating. These oscillations appear due to the thermoelectric effect and are in antiphase with microwave induced resistance oscillations because of the Corbino-like geometry of our experimental setup.
description: 10 pages, 6 figures
Pion Fluctuation in High Energy Collisions - A Chaos-based Quantitative Estimation with Visibility Graph Technique
Creators: name: Bhaduri, Susmita
name: Ghosh, Dipak
Publisher: name: arXiv
Year: 2016
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: We propose a new approach for studying pion fluctuation for deeper understanding of the dynamical process involved, from a perspective of fBm-based complex network analysis method called Visibility graph Analysis. This chaos-based, rigorous, non-linear technique is applied to study the erratic behavior of multipion production in π^{-}-Ag/Br interactions at 350 GeV. This method can offer reliable results with finite data points. The Power of Scale-freeness of Visibility Graph denoted by-PSVG is a measure of fractality, which can be used as a quantitative parameter for the assessment of the state of a chaotic system. The event-wise fluctuation of the multipion production process can be described by this parameter-PSVG. From the analysis of the PSVG parameter, we can quantitatively confirm that fractal behavior of the particle production process depends on the target excitation and also the fractality decreases with the increase of target excitation.
description: 3 figures,9 pages
A fast, high-order numerical method for the simulation of single-excitation states in quantum optics
Creators: name: Hoskins, Jeremy
name: Kaye, Jason
name: Rachh, Manas
name: Schotland, John C.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Numerical Analysis (math.NA)
subject: Quantum Physics (quant-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: G.1.8; G.1.9
subject: 45D05, 35Q40, 81-08

description: We consider the numerical solution of a nonlocal partial differential equation which models the process of collective spontaneous emission in a two-level atomic system containing a single photon. We reformulate the problem as an integro-differential equation for the atomic degrees of freedom, and describe an efficient solver for the case of a Gaussian atomic density. The problem of history dependence arising from the integral formulation is addressed using sum-of-exponentials history compression. We demonstrate the solver on two systems of physical interest: in the first, an initially-excited atom decays into a photon by spontaneous emission, and in the second, a photon pulse is used to an excite an atom, which then decays.
Analysing trainee beliefs about thesis writing and professional development in a constructivist thesis writing experience
Creators: name: Carlin, Rebeca Elena Tapia
Publisher: name: Macquarie University
Year: 2022
Subjects: Other education not elsewhere classified

description: The aim of this case study was to identify the beliefs of eight pre-service teachers about thesis writing and professional development while and after writing their BA thesis through diary and survey inquiry. This research was conducted in the teaching area of the major in Modern Languages (LEMO) from the Autonomous University of Puebla (BUAP). The methodology used to identify trainee beliefs was applied in two periods: during the process to include reflection in action, and after the process obtaining reflection on action as suggested by Schön (1983, p. 26). Thus, the participants wrote their electronic dialogue diaries while taking the two Research Seminars and writing their thesis. In this diaries they expressed their thoughts and feelings, sent them to the teacher and the teacher answered them also via e-mail. Then, when the Research Seminars had finished, they answered the questionnaire called Thesis and Professional Development Questionnaire (TAPDQ), which was especially designed for this research taking insights from Eraut (1995), Fullan(1995), Burns et al (1999), Schmekes (2004) and Viaggio (1992). This questionnaire contains Likert scales and some open questions. The findings of these studies reveal that participants were aware of their lack of expertise in thesis writing and they looked for strategies to overcome this problem. Also, the findings suggest that the participants were benefited from the constructivist methodology employed in the Research Seminars. Most of the participants reported having acquired skills, knowledge, having improved their attitude and having become better students after writing their thesis. This doctoral thesis begins exploring an area that has not been explored on ELT teacher cognition at least as reported in the research reviews done by Borg (2003, 2006) and Reyes & Rodríguez (2007). It aims to contribute to get a better understanding the thesis writing processes in teacher education programmes in public universities in Mexico.
Conversational Agents in Therapeutic Interventions for Neurodevelopmental Disorders: A Survey
Creators: name: Catania, Fabio
name: Spitale, Micol
name: Garzotto, Franca
Publisher: name: arXiv
Year: 2021
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Neurodevelopmental Disorders (NDD) are a group of conditions with onset in the developmental period characterized by deficits in the cognitive and social areas. Conversational agents have been increasingly explored to support therapeutic interventions for people with NDD. This survey provides a structured view of the crucial design features of these systems, the types of therapeutic goals they address, and the empirical methods adopted for their evaluation. From this analysis, we elaborate a set of recommendations and highlight the gaps left unsolved in the state of the art, upon which we ground a research agenda on conversational agents for NDD.
Hydrophobic ceramic capillary membranes for versatile virus filtration
Creators: name: Bartels, Julia
name: Batista, Artur Guedert
name: Kroll, Stephen
name: Maas, Michael
name: Rezwan, Kurosch
Publisher: name: Elsevier
Year: 2018
Subjects: subject: Mimenima
subject: 620

description: In this study, we present hydrophobic yttria-stabilized zirconia capillary membranes conditioned for virus filtration. These macroporous ceramic filters (d50 = 150 nm) efficiently extract viruses regardJess of their surface charge with high throughput rates. For hydrophobic functionalization of the ceramic membranes we used two different silanes, n-hexyltriethoxysilane (HTS, C6-chain) and n-octyltriethoxysilane (OTS, C8-chain), in three different molarities. The virus retention of the membranes is tested in dead-end mode by intracapillary virus feeding using two small bacteriophages as model species: MS2 and PhiX174. Virus retention increases most strongly for hydrophobic capillaries functionalized with 0.05 M OTS, showing a virtually complete retention with log-reduction values (LRVs) of - 9 for both bacteriophages compared to the non-functionalized membrane with LRVs of 0.3 ± 0.1 for MS2 and 3.4 ± 0.2 for PhiXl 74. The functionalized membranes allow a high membrane flux of - 150 L/(m2hbar), with throughput rates up to - 400 L/(m2 h) while maintaining high filtration efficiency. Even under varying feed conditions using only mono- or divalent salt ions or pH values ranging from 3 to 9, retention capacities of the capillary membranes are high. Accordingly, such hydrophobic ceramic membranes offer a versatile alternative to conventional polymeric membranes for virus removal with greatly improved membrane flux.
Hydrodynamics of Active Polar Systems in a (Visco)Elastic Background
Creators: name: Pleiner, H.
name: Svensek, D.
name: Brand, H. R.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We derive the full set of macroscopic equations necessary to describe the dynamics of systems with active polar order in a viscoelastic or elastic background. The active polar order is manifested by a second velocity, whose non-zero modulus is the polar order parameter and whose direction is the polar preferred direction. Viscoelasticity is described by a relaxing strain field allowing for a straightforward change from transient to permanent elasticity. Relative rotations of the elastic structure with respect to the polar direction are taken into account. The intricate coupling between active polar order and (transient) elasticity leads to a combined relaxation of the polar order parameter and the strains. The rather involved sound spectrum contains a specific excitation due to a reversible coupling between elasticity and polar order. Effects of chirality are also considered.
Gain and Polarization Properties of a Large Radio Telescope from Calculation and Measurement: The John A. Galt Telescope
Creators: name: Du, Xuan
name: Landecker, Thomas L.
name: Robishaw, Timothy
name: Gray, Andrew D.
name: Douglas, Kevin A.
name: Wolleben, Maik
Publisher: name: arXiv
Year: 2016
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Measurement of the brightness temperature of extended radio emission demands knowledge of the gain (or aperture efficiency) of the telescope and measurement of the polarized component of the emission requires correction for the conversion of unpolarized emission from sky and ground to apparently polarized signal. Radiation properties of the John A. Galt Telescope at the Dominion Radio Astrophysical Observatory were studied through analysis and measurement in order to provide absolute calibration of a survey of polarized emission from the entire northern sky from 1280 to 1750 MHz, and to understand the polarization performance of the telescope. Electromagnetic simulators CST and GRASP-10 were used to compute radiation patterns of the telescope in all Stokes parameters, and aperture efficiency. Aperture efficiency was also evaluated using geometrical optics and was measured using Cyg A. Measured aperture efficiency varied smoothly with frequency between values of 0.49 and 0.54; GRASP-10 yielded values 6.5% higher but with closely similar variation with frequency. Overall error across the frequency band is 3%, but values at any two frequencies are relatively correct to ~1%. Dominant influences on aperture efficiency are illumination taper of the feed radiation pattern and shadowing by the feed-support struts. A model of ground emission was developed based on measurements and on empirical data from remote sensing of the Earth from satellite-borne telescopes. This model was convolved with the computed antenna response to estimate conversion of ground emission into spurious polarized signal. The computed spurious signal is comparable to measured values, but is not accurate enough to be used to correct observations. A simpler model, in which the ground is considered as an unpolarized emitter with a brightness temperature of ~240 K, is shown to have useful accuracy when compared to measurements.
description: 14 pages, 12 figures
From SLAM to Situational Awareness: Challenges and Survey
Creators: name: Bavle, Hriday
name: Sanchez-Lopez, Jose Luis
name: Cimarelli, Claudio
name: Tourani, Ali
name: Voos, Holger
Publisher: name: arXiv
Year: 2021
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The capability of a mobile robot to efficiently and safely perform complex missions is limited by its knowledge of the environment, namely the situation. Advanced reasoning, decision-making, and execution skills enable an intelligent agent to act autonomously in unknown environments. Situational Awareness (SA) is a fundamental capability of humans that has been deeply studied in various fields, such as psychology, military, aerospace, and education. Nevertheless, it has yet to be considered in robotics, which has focused on single compartmentalized concepts such as sensing, spatial perception, sensor fusion, state estimation, and Simultaneous Localization and Mapping (SLAM). Hence, the present research aims to connect the broad multidisciplinary existing knowledge to pave the way for a complete SA system for mobile robotics that we deem paramount for autonomy. To this aim, we define the principal components to structure a robotic SA and their area of competence. Accordingly, this paper investigates each aspect of SA, surveying the state-of-the-art robotics algorithms that cover them, and discusses their current limitations. Remarkably, essential aspects of SA are still immature since the current algorithmic development restricts their performance to only specific environments. Nevertheless, Artificial Intelligence (AI), particularly Deep Learning (DL), has brought new methods to bridge the gap that maintains these fields apart from the deployment to real-world scenarios. Furthermore, an opportunity has been discovered to interconnect the vastly fragmented space of robotic comprehension algorithms through the mechanism of Situational Graph (S-Graph), a generalization of the well-known scene graph. Therefore, we finally shape our vision for the future of robotic Situational Awareness by discussing interesting recent research directions.
description: 22 pages, 8 figures, 5 Tables
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers
Creators: name: Khan, Asad
name: Huerta, E. A.
name: Kumar, Prayush
Publisher: name: arXiv
Year: 2021
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: Artificial Intelligence (cs.AI)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: I.2
subject: 68T10, 85-08, 83C35, 83C57

description: We use artificial intelligence (AI) to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non precessing binary black hole mergers. We trained AI models using 14 million waveforms, produced with the surrogate model NRHybSur3dq8, that include modes up to $\ell \leq 4$ and $(5,5)$, except for $(4,0)$ and $(4,1)$, that describe binaries with mass-ratios $q\leq8$, individual spins $s^z_{\{1,2\}}\in[-0.8, 0.8]$, and inclination angle $θ\in[0,π]$.Our probabilistic AI surrogates can accurately constrain the mass-ratio, individual spins, effective spin, and inclination angle of numerical relativity waveforms that describe such signal manifold. We compared the predictions of our AI models with Gaussian process regression, random forest, k-nearest neighbors, and linear regression, and with traditional Bayesian inference methods through the PyCBC Inference toolkit, finding that AI outperforms all these approaches in terms of accuracy, and are between three to four orders of magnitude faster than traditional Bayesian inference methods. Our AI surrogates were trained within 3.4 hours using distributed training on 1,536 NVIDIA V100 GPUs in the Summit supercomputer.
description: 22 pages, 12 figures
First image of the L1157 molecular jet by the CALYPSO IRAM-PdBI survey
Creators: name: Podio, L.
name: Codella, C.
name: Gueth, F.
name: Cabrit, S.
name: Maury, A.
name: Tabone, B.
name: Lefèvre, C.
name: Anderl, S.
name: André, P.
name: Belloche, A.
name: Bontemps, S.
name: Hennebelle, P.
name: Lefloch, B.
name: Maret, S.
name: Testi, L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: Fast jets are thought to be a crucial ingredient of star formation because they might extract angular momentum from the disk and thus allow mass accretion onto the star. However, it is unclear whether jets are ubiquitous, and likewise, their contribution to mass and angular momentum extraction during protostar formation remains an open question. Our aim is to investigate the ejection process in the low-mass Class 0 protostar L1157. This source is associated with a spectacular bipolar outflow, and the recent detection of high-velocity SiO suggests the occurrence of a jet. Observations of CO 2-1 and SiO 5-4 at 0.8" resolution were obtained with the IRAM Plateau de Bure Interferometer as part of the CALYPSO large program. The jet and outflow structure were fit with a precession model. We derived the column density of CO and SiO, as well as the jet mass-loss rate and mechanical luminosity. High-velocity CO and SiO emission resolve for the first time the first 200 au of the outflow-driving molecular jet. The jet is strongly asymmetric, with the blue lobe 0.65 times slower than the red lobe. This suggests that the large-scale asymmetry of the outflow is directly linked to the jet velocity and that the asymmetry in the launching mechanism has been at work for the past 1800 yr. Velocity asymmetries are common in T Tauri stars, which suggests that the jet formation mechanism from Class 0 to Class II stages might be similar. Our model simultaneously fits the inner jet and the clumpy 0.2 pc scale outflow by assuming that the jet precesses counter-clockwise on a cone inclined by 73 degree to the line of sight with an opening angle of 8 degree on a period of 1640 yr. The estimated jet mass flux and mechanical luminosity are 7.7e-7 Msun/yr, and 0.9 Lsun, indicating that the jet could extract at least 25% of the gravitational energy released by the forming star.
description: 6 pages, 3 figures, accepted for publication in A&A Letter
Model based diagnosis of acid-base disturbances in natural waters
Creators: name: Apps, Graeme James Tim
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.
Compact Galactic Planetary Nebulae: A HST/WFC3 Morphological Catalog, and a Study of their Role in the Galaxy
Creators: name: Stanghellini, Letizia
name: Shaw, Richard A.
name: Villaver, Eva
Publisher: name: arXiv
Year: 2016
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present the images of a \textit{Hubble Space Telescope} (\textit{HST}/WFC3) snapshot program of angularly compact Galactic planetary nebulae (PNe), acquired with the aim of studying their size, evolutionary status, and morphology. PNe that are smaller than $\sim4\arcsec$ are underrepresented in most morphological studies, and today they are less well studied than their immediate evolutionary predecessors, the pre-planetary nebulae. The images have been acquired in the light of [\ion{O}{3}]$\lambda5007$, which is commonly used to classify the PN morphology, in the UV continuum with the aim of detecting the central star unambiguously, and in the $I-$band to detect a cool stellar companion, if present. The sample of 51 confirmed PNe exhibits nearly the full range of primary morphological classes, with the distribution more heavily weighted toward bipolar PNe, but with total of aspherical PNe almost identical to that of the general Galactic sample. A large range of microstructures is evident in our sample as well, with many nebulae displaying attached shells, halos, ansae, and internal structure in the form of arcs, rings, and spirals. Various aspherical structures in a few PNe, including detached arcs, suggest an interaction with the ISM. We studied the observed sample of compact Galactic PNe in the context of the general Galactic PN population, and explore whether their physical size, spatial distribution, reddening, radial metallicity gradient, and possible progenitors, are peculiar within the population of Galactic PNe. We found that these compact Galactic PNe, which have been selected based on apparent dimensions, constitute a diverse Galactic PN population that is relatively uniformly distributed across the Galactic disk, including the outskirts of our Galaxy. This unique sample will be used in the future to probe the old Galactic disk population.
description: ApJ, in press
Ab-initio investigation of finite size effects in rutile titania nanoparticles with semilocal and nonlocal density functionals
Creators: name: Sahoo, Sushree Jagriti
name: Jing, Xin
name: Suryanarayana, Phanish
name: Medford, Andrew J.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: In this work, we employ hybrid and generalized gradient approximation (GGA) level density functional theory (DFT) calculations to investigate the convergence of surface properties and band structure of rutile titania (TiO$_2$) nanoparticles with particle size. The surface energies and band structures are calculated for cuboidal particles with minimum dimension ranging from 3.7 Å (24 atoms) to 10.3 Å (384 atoms) using a highly-parallel real-space DFT code to enable hybrid level DFT calculations of larger nanoparticles than are typically practical. We deconvolute the geometric and electronic finite size effects in surface energy, and evaluate the influence of defects on band structure and density of states (DOS). The electronic finite size effects in surface energy vanish when the minimum length scale of the nanoparticles becomes greater than 10 Å. We show that this length scale is consistent with a computationally efficient numerical analysis of the characteristic length scale of electronic interactions. The surface energy of nanoparticles having minimum dimension beyond this characteristic length can be approximated using slab calculations that account for the geometric defects. In contrast, the finite size effects on the band structure is highly dependent on the shape and size of these particles. The DOS for cuboidal particles and more realistic particles constructed using the Wulff algorithm reveal that defect states within the bandgap play a key role in determining the band structure of nanoparticles and the bandgap does not converge to the bulk limit for the particle sizes investigated.
The influence of the functional group density on gas flow and selectivity: Nanoscale interactions in alkyl-functionalized mesoporous membranes
Creators: name: Besser, Benjamin
name: Malik, Saad
name: Baune, Michael
name: Kroll, Stephen
name: Thöming, Jorg
name: Rezwan, Kurosch
Publisher: name: Elsevier
Year: 2017
Subjects: subject: Mesoporous ceramic membrane
subject: Surface functionalization
subject: Gas permeation
subject: Knudsen diffusion
subject: Mimenima
subject: 620

description: Mesoporous inorganic structures with mean pore diameters of 26 nm are prepared by extrusion based on a yttria stabilized zirconia nanopowder. The sintered capillary membranes serve as model structures to investigate the influence of an alkyl-chain (C16) surface functionalization on the gas diffusion kinetics of argon (Ar), nitrogen (N2) and carbon dioxide (CO2) in mesopores. The density of the C16 alkyl-chains immobilized on the membrane surface has an effect on both, gas flow as well as gas selectivity. For low functional group densities (<4 groups nm−2), the gas flow is reduced without having an effect on the selectivity. In contrast, for high alkyl-chain densities (>4 groups nm−2) the mean distance between the C16-chains is reduced to the order of magnitude of the gas molecules leading to a reduction in gas flow and a significant change of the gas selectivity. The selectivity is found to be influenced depending on the molecular diameter of the gas species, being more evident for CO2 compared to Ar and N2, suggesting a separation mechanism more comparable to molecular sieving than to surface diffusion.
Formulation and Rheological Characterization of Premix Emulsification
Creators: name: Luhede, L.
name: Tamm, F.
name: Fritsching, U.
Publisher: name: Wiley
Year: 2015
Subjects: subject: Premix Emulsification
subject: Mimenima
subject: 620

description: Formulation and Rheological Characterization of Premix Emulsification
Non-boost-invariant dissipative hydrodynamics
Creators: name: Florkowski, Wojciech
name: Ryblewski, Radoslaw
name: Strickland, Michael
name: Tinti, Leonardo
Publisher: name: arXiv
Year: 2016
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The one-dimensional non-boost-invariant evolution of the quark-gluon plasma, presumably produced during the early stages of heavy-ion collisions, is analyzed within the frameworks of viscous and anisotropic hydrodynamics. We neglect transverse dynamics and assume homogeneous conditions in the transverse plane but, differently from Bjorken expansion, we relax longitudinal boost invariance in order to study the rapidity dependence of various hydrodynamical observables. We compare the results obtained using several formulations of second-order viscous hydrodynamics with a recent approach to anisotropic hydrodynamics, which treats the large initial pressure anisotropy in a non-perturbative fashion. The results obtained with second-order viscous hydrodynamics depend on the particular choice of the second-order terms included, which suggests that the latter should be included in the most complete way. The results of anisotropic hydrodynamics and viscous hydrodynamics agree for the central hot part of the system, however, they differ at the edges where the approach of anisotropic hydrodynamics helps to control the undesirable growth of viscous corrections observed in standard frameworks.
description: 11 pages, 6 figures
Bifunctional submicron colloidosomes coassembled from fluorescent and superparamagnetic nanoparticles
Creators: name: Bollhorst, Tobias
name: Shahabi, Shakiba
name: Wörz, Katharina
name: Petters, Charlotte
name: Dringen, Ralf
name: Maas, Michael
name: Rezwan, Kurosch
Publisher: name: Wiley-VCH Verlag GmbH & Co. KGaA, Weilheim
Year: 2015
Subjects: subject: colloidosomes
subject: fluorescence
subject: interfacial shear rheology
subject: superparamagnetism
subject: theranostics
subject: Mimenima
subject: 540

description: Colloidosomes are microcapsules consisting of nanoparticle shells. These microcarriers can be self-assembled from a wide range of colloidal particles with selective chemical, physical, and morphological properties and show promise for application in the field of theranostic nanomedicine. Previous studies have mainly focused on fairly large colloidosomes (>1 μm) based on a single kind of particle; however, the intrinsic building-block nature of this microcarrier has not been exploited so far for the introduction of tailored functionality at the nanoscale. We report a synthetic route based on interfacial shear rheology studies that allows the simultaneous incorporation of different nanoparticles with distinct physical properties, that is, superparamagnetic iron oxide and fluorescent silica nanoparticles, in a single submicron colloidosome. These tailor-made microcapsules can potentially be used in various biomedical applications, including magnetic hyperthermia, magnetic particle imaging, drug targeting, and bioimaging.
Linguistic and Gender Variation in Speech Emotion Recognition using Spectral Features
Creators: name: Dair, Zachary
name: Donovan, Ryan
name: O'Reilly, Ruairi
Publisher: name: arXiv
Year: 2021
Subjects: subject: Sound (cs.SD)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: I.2; J.2
subject: 91C99

description: This work explores the effect of gender and linguistic-based vocal variations on the accuracy of emotive expression classification. Emotive expressions are considered from the perspective of spectral features in speech (Mel-frequency Cepstral Coefficient, Melspectrogram, Spectral Contrast). Emotions are considered from the perspective of Basic Emotion Theory. A convolutional neural network is utilised to classify emotive expressions in emotive audio datasets in English, German, and Italian. Vocal variations for spectral features assessed by (i) a comparative analysis identifying suitable spectral features, (ii) the classification performance for mono, multi and cross-lingual emotive data and (iii) an empirical evaluation of a machine learning model to assess the effects of gender and linguistic variation on classification accuracy. The results showed that spectral features provide a potential avenue for increasing emotive expression classification. Additionally, the accuracy of emotive expression classification was high within mono and cross-lingual emotive data, but poor in multi-lingual data. Similarly, there were differences in classification accuracy between gender populations. These results demonstrate the importance of accounting for population differences to enable accurate speech emotion recognition.
description: Presented at AICS 2021 Conference - Machine Learning for Time Series Section Published in CEUR Vol-3105 http://ceur-ws.org/Vol-3105/paper34.pdf This publication has emanated from research supported in part by a Grant from Science Foundation Ireland under Grant number 18/CRT/6222 Associated source code https://github.com/ZacDair/SER_Platform_AICS 12 Pages, 5 Figures
The role of personality and social variables in the organizational socialisation of naval recruits
Creators: name: Etheredge, John Michael
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.
Nonlinear time-harmonic Maxwell equations in domains
Creators: name: Bartsch, Thomas
name: Mederski, Jarosław
Publisher: name: arXiv
Year: 2016
Subjects: subject: Analysis of PDEs (math.AP)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: Primary: 35Q60, Secondary: 35J20, 58E05, 78A25

description: The search for time-harmonic solutions of nonlinear Maxwell equations in the absence of charges and currents leads to the elliptic equation $$\nabla\times\left(μ(x)^{-1} \nabla\times u\right) - ω^2\varepsilon(x)u = f(x,u)$$ for the field $u:Ω\to\mathbb{R}^3$ in a domain $Ω\subset\mathbb{R}^3$. Here $\varepsilon(x) \in \mathbb{R}^{3\times3}$ is the (linear) permittivity tensor of the material, and $μ(x) \in \mathbb{R}^{3\times3}$ denotes the magnetic permeability tensor. The nonlinearity $f:Ω\times\mathbb{R}^3\to\mathbb{R}^3$ comes from the nonlinear polarization. If $f=\nabla_uF$ is a gradient then this equation has a variational structure. The goal of this paper is to give an introduction to the problem and the variational approach, and to survey recent results on ground and bound state solutions. It also contains refinements of known results and some new results.
Hopf-Galois structures on cyclic extensions and skew braces with cyclic multiplicative group
Creators: name: Tsang, Cindy
Publisher: name: arXiv
Year: 2021
Subjects: subject: Group Theory (math.GR)
subject: Number Theory (math.NT)
subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics

description: Let $G$ and $N$ be two finite groups of the same order. It is well-known that the existences of the following are equivalent: (a) a Hopf-Galois structure of type $N$ on any Galois $G$-extension; (b) a skew brace with additive group $N$ and multiplicative group $G$; (c) a regular subgroup isomorphic to $G$ in the holomorph of $N$. We shall say that $(G,N)$ is realizable when any of the above exists. Fixing $N$ to be a cyclic group, W. Rump (2019) has determined the groups $G$ for which $(G,N)$ is realizable. In this paper, fixing $G$ to be a cyclic group instead, we shall give a complete characterization of the groups $N$ for which $(G,N)$ is realizable.
description: Fixed some typos