cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Identification of Hip and Knee Joint Impedance During the Swing Phase of Walking
Creators: name: van der Kooij, Herman
name: Fricke, Simone S.
name: Veld, Ronald C. van 't
name: Prieto, Ander Vallinas
name: Keemink, Arvid Q. L.
name: Schouten, Alfred C.
name: van Asseldonk, Edwin H. F.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Robotics (cs.RO)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Knowledge on joint impedance during walking in various conditions is relevant for clinical decision-making and the development of robotic gait trainers, leg prostheses, leg orthotics and wearable exoskeletons. Whereas ankle impedance during walking has been experimentally assessed, knee and hip joint impedance during walking have not been identified yet. Here we developed and evaluated a lower limb perturbator to identify hip, knee and ankle joint impedance during treadmill walking. The lower limb perturbator (LOPER) consists of an actuator connected to the thigh via rods. The LOPER allows to apply force perturbations to a free-hanging leg, while standing on the contralateral leg, with a bandwidth of up to 39 Hz. While walking in minimal impedance mode, the interaction forces between LOPER and the thigh were low (<5 N) and the effect on the walking pattern was smaller than the within-subject variability during normal walking. Using a non-linear multibody dynamical model of swing leg dynamics, the hip, knee and ankle joint impedance were estimated at three time points during the swing phase for nine subjects walking at a speed of 0.5 m/s. The identified model was well able to predict the experimental responses for the hip and knee, since the mean variance accounted (VAF) for was 99% and 96%, respectively. The ankle lacked a consistent response and the mean VAF of the model fit was only 77%, and therefore the estimated ankle impedance was not reliable. The averaged across-subjects stiffness varied between the three time points within 34-66 and 0-3.5 Nm/rad for the hip and knee joint respectively. The damping varied between 1.9-4.6 and 0.02-0.14 Nms/rad for hip and knee respectively. The developed LOPER has a negligible effect on the unperturbed walking pattern and allows to identify hip and knee impedance during the swing phase.
description: 10 pages, 9 figures
Quantum field theoretical structure of electrical conductivity of cold and dense fermionic matter in the presence of a magnetic field
Creators: name: Satapathy, Sarthak
name: Ghosh, Snigdha
name: Ghosh, Sabyasachi
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We have gone through a detailed calculation of the two-point correlation function of vector currents at finite density and magnetic field by employing the real time formalism of finite temperature field theory and Schwinger's proper time formalism. With respect to the direction of external magnetic field, the parallel and perpendicular components of electric conductivity for the degenerate relativistic fermionic matter are obtained from the zero momentum limit of the current-current correlator, owing to Kubo formula. Our quantum field theoretical expressions and numerical estimations are compared with the same, obtained from the relaxation time approximation methods of kinetic theory and its Landau quantized extension, which may be called as classical and quantum results respectively. All the results are merged in the classical domain i.e. high density and low magnetic field region but in the remaining (quantum) domain, quantum results carry a quantized information like Shubnikov-de Haas oscillation along density and magnetic field axes. We have obtained completely new quantum field theoretical expression for perpendicular conductivity of degenerate relativistic fermionic matter. Interestingly, our quantum field theoretical calculation provide a new mathematical form of cyclotron frequency with respect to its classical definition, which might require more future research to interpret the phenomena.
description: Version published in Physical Review D
Cobbia undetermined
Creators: name: Khudhir, Manda
name: Hodda, Mike
name: Nicholas, Evelyn
name: Campbell, Jennifer
name: Nicholas, Warwick L.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Nematoda
Chromadorea
Monhysterida
Xyalidae
Cobbia
Cobbia undetermined

description: Cobbia sp.
Lake King, VIC. Littoral Mud substrate. 1 juvenile. 3.12.86
Off Crocodile Island, OFFSHORE. 27m deep. Sandy Mud substrate. 1 female. 7.5.79
Rapid Creek, NT. Littoral Sand substrate. 1 male; 1 female. 19.10.92
Locality unrecorded, Australia. 1 female. Date unrecorded.
Genus Corononema Nicholas & Stewart, 1995
description: Published as part of Khudhir, Manda, Hodda, Mike, Nicholas, Evelyn, Campbell, Jennifer & Nicholas, Warwick L., 2023, A catalogue of the nematode slide collection from the late W. L. Nicholas held at National Research Collections Australia, CSIRO, pp. 1-109 in Zootaxa 5388 (1) on page 84, DOI: 10.11646/zootaxa.5388.1.1, http://zenodo.org/record/10390008
Molecular Vibration Explorer: an online database and toolbox for surface-enhanced frequency conversion, infrared and Raman spectroscopy
Creators: name: Koczor-Benda, Zsuzsanna
name: Roelli, Philippe
name: Galland, Christophe
name: Rosta, Edina
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optics (physics.optics)
subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: We present Molecular Vibration Explorer, a freely accessible online database and interactive tool for exploring vibrational spectra and tensorial light-vibration coupling strengths of a large collection of thiolated molecules. The `Gold' version of the database gathers the results from density functional theory calculations on 2'800 commercially available thiol compounds linked to a gold atom, with the main motivation to screen the best molecules for THz and mid-infrared to visible upconversion. Additionally, the `Thiol' version of the database contains results for 1'900 unbound thiolated compounds. They both provide access to a comprehensive set of computed spectroscopic parameters for all vibrational modes of all molecules in the database. The user can simultaneously investigate infrared absorption, Raman scattering and vibrational sum- and difference frequency generation cross sections. Molecules can be screened for various parameters in custom frequency ranges, such as large Raman cross-section under specific molecular orientation, or large orientation-averaged sum-frequency generation (SFG) efficiency. The user can select polarization vectors for the electromagnetic fields, set the orientation of the molecule and customize parameters for plotting the corresponding IR, Raman and sum-frequency spectra. We illustrate the capabilities of this tool with selected applications in the field of surface-enhanced spectroscopy.
description: 7 pages, 6 figures
Orbital-Induced Crossover of the Fulde-Ferrell-Larkin-Ovchinnikov Phase into Abrikosov-like States
Creators: name: Kotte, Tommy
name: Kühne, Hannes
name: Schlueter, John A
name: Zwicknagl, Gertrud
name: Wosnitza, J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The Fulde-Ferrell-Larkin-Ovchinnikov (FFLO) state can emerge in superconductors for which the orbital critical field exceeds the Pauli limit. Here, we present angular-resolved specific-heat data of the quasi-two-dimensional organic superconductor $κ$-(ET)$_2$Cu(NCS)$_2$, with a focus on high fields in the regime of the FFLO transition. For an increasing out-of-plane tilt of the applied magnetic field, which leads to an increase of orbital contributions, we found that the nature of the superconducting transition changes from second to first order and that a further transition appears within the high-field superconducting phase. However, the superconducting state above the Pauli limit is stable for field tilt of several degrees. Since any finite perpendicular component of the magnetic field necessarily leads to quantization of the orbital motion, the resulting vortex lattice states compete with the modulated order parameter of the FFLO state leading to complex high-field superconducting phases. By solving the linearized self-consistency equation within weak-coupling BCS theory, we show that our results are clear experimental evidence of an orbital-induced transformation of the FFLO order-parameter into Abrikosov-like states of higher Landau levels.
description: Main text: 6 Pages, 4 Figures Supplement: 11 Pages, 6 Figures
Corononema parvum Nicholas & Stewart 1995
Creators: name: Khudhir, Manda
name: Hodda, Mike
name: Nicholas, Evelyn
name: Campbell, Jennifer
name: Nicholas, Warwick L.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Nematoda
Chromadorea
Monhysterida
Xyalidae
Corononema
Corononema parvum

description: Corononema parvum Nicholas & Stewart, 1995
Rapid Creek, NT. Littoral Sand substrate. 17 males; 9 females; 5 juveniles. 31.7.88; 10.6.90; 9.10.92 Southport, QLD. Littoral Sand substrate. 2 males; 2 females. 31.8.86
Tomakin, NSW. Littoral Sand substrate. 1 female. 11.11.81
description: Published as part of Khudhir, Manda, Hodda, Mike, Nicholas, Evelyn, Campbell, Jennifer & Nicholas, Warwick L., 2023, A catalogue of the nematode slide collection from the late W. L. Nicholas held at National Research Collections Australia, CSIRO, pp. 1-109 in Zootaxa 5388 (1) on pages 84-85, DOI: 10.11646/zootaxa.5388.1.1, http://zenodo.org/record/10390008
Ritus functions for graphene-like systems with magnetic fields generated by first-order intertwining operators
Creators: name: Concha-Sánchez, Yajaira
name: Díaz-Bautista, Erik
name: Raya, Alfredo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In this work, we construct the exact propagator for Dirac fermions in graphene-like systems immersed in external static magnetic fields with non-trivial spatial dependence. Such field profiles are generated within a first-order supersymmetric framework departing from much simpler (seed) magnetic field examples. The propagator is spanned on the basis of the Ritus eigenfunctions, corresponding to the Dirac fermion asymptotic states in the non-trivial magnetic field background which nevertheless admits a simple diagonal form in momentum space. This strategy enlarges the number of magnetic field profiles in which the fermion propagator can be expressed in a closed-form. Electric charge and current densities are found directly from the corresponding propagator and compared against similar findings derived from other methods.
description: 19 pages, 10 figures
Generalized Nested Latent Variable Models for Lossy Coding applied to Wind Turbine Scenarios
Creators: Raül Pérez-Gonzalo
Andreas Espersen
Antonio Agudo
Publisher: name: IEEE Signal Processing Society
Year: 2024

description: Rate-distortion optimization through neural networks has accomplished competitive results in compression efficiency and image quality. This learning-based approach seeks to minimize the compromise between compression rate and reconstructed image quality by automatically extracting and retaining crucial information, while discarding less critical details. A successful technique consists in introducing a deep hyperprior that operates within a 2-level nested latent variable model, enhancing compression by capturing complex data dependencies. This paper extends this concept by designing a generalized L-level nested generative model with a Markov chain structure. We demonstrate as L increases that a trainable prior is detrimental and explore a common dimensionality along the distinct latent variables to boost compression performance. As this structured framework can represent autoregressive coders, we outperform the hyperprior model and achieve state-of-the-art performance while reducing substantially the computational cost. Our experimental evaluation is performed on wind turbine scenarios to study its application on visual inspections.
Corononema thai Nicholas & Stewart 1995
Creators: name: Khudhir, Manda
name: Hodda, Mike
name: Nicholas, Evelyn
name: Campbell, Jennifer
name: Nicholas, Warwick L.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Nematoda
Chromadorea
Monhysterida
Xyalidae
Corononema
Corononema thai

description: Corononema thai Nicholas & Stewart, 1995
Pathaya, THAILAND. Littoral Sand substrate. 3 females. 2.9.86
Rapid Creek, NT. Littoral Sand substrate. 1 juvenile. 31.7.86
description: Published as part of Khudhir, Manda, Hodda, Mike, Nicholas, Evelyn, Campbell, Jennifer & Nicholas, Warwick L., 2023, A catalogue of the nematode slide collection from the late W. L. Nicholas held at National Research Collections Australia, CSIRO, pp. 1-109 in Zootaxa 5388 (1) on page 85, DOI: 10.11646/zootaxa.5388.1.1, http://zenodo.org/record/10390008
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data
Creators: name: Khowaja, Sunder Ali
name: Lee, Ik Hyun
name: Dev, Kapal
name: Jarwar, Muhammad Aslam
name: Qureshi, Nawab Muhammad Faseeh
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The past decade has seen a rapid adoption of Artificial Intelligence (AI), specifically the deep learning networks, in Internet of Medical Things (IoMT) ecosystem. However, it has been shown recently that the deep learning networks can be exploited by adversarial attacks that not only make IoMT vulnerable to the data theft but also to the manipulation of medical diagnosis. The existing studies consider adding noise to the raw IoMT data or model parameters which not only reduces the overall performance concerning medical inferences but also is ineffective to the likes of deep leakage from gradients method. In this work, we propose proximal gradient split learning (PSGL) method for defense against the model inversion attacks. The proposed method intentionally attacks the IoMT data when undergoing the deep neural network training process at client side. We propose the use of proximal gradient method to recover gradient maps and a decision-level fusion strategy to improve the recognition performance. Extensive analysis show that the PGSL not only provides effective defense mechanism against the model inversion attacks but also helps in improving the recognition performance on publicly available datasets. We report 14.0$\%$, 17.9$\%$, and 36.9$\%$ gains in accuracy over reconstructed and adversarial attacked images, respectively.
description: 10 pages, 5 figures, 2 tables
A Survey on RGB-D Datasets
Creators: name: Lopes, Alexandre
name: Souza, Roberto
name: Pedrini, Helio
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: RGB-D data is essential for solving many problems in computer vision. Hundreds of public RGB-D datasets containing various scenes, such as indoor, outdoor, aerial, driving, and medical, have been proposed. These datasets are useful for different applications and are fundamental for addressing classic computer vision tasks, such as monocular depth estimation. This paper reviewed and categorized image datasets that include depth information. We gathered 203 datasets that contain accessible data and grouped them into three categories: scene/objects, body, and medical. We also provided an overview of the different types of sensors, depth applications, and we examined trends and future directions of the usage and creation of datasets containing depth data, and how they can be applied to investigate the development of generalizable machine learning models in the monocular depth estimation field.
description: This paper was published at Computer Vision and Image Understanding. Access the final paper using the DOI: https://doi.org/10.1016/j.cviu.2022.103489
Quasilinear theory for inhomogeneous plasma
Creators: name: Dodin, I. Y.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: This paper presents quasilinear theory (QLT) for classical plasma interacting with inhomogeneous turbulence. The particle Hamiltonian is kept general; for example, relativistic, electromagnetic, and gravitational effects are subsumed. A Fokker--Planck equation for the dressed 'oscillation-center' distribution is derived from the Klimontovich equation and captures quasilinear diffusion, interaction with the background fields, and ponderomotive effects simultaneously. The local diffusion coefficient is manifestly positive-semidefinite. Waves are allowed to be off-shell (i.e. not constrained by a dispersion relation), and a collision integral of the Balescu--Lenard type emerges in a form that is not restricted to any particular Hamiltonian. This operator conserves particles, momentum, and energy, and it also satisfies the H-theorem, as usual. As a spin-off, a general expression for the spectrum of microscopic fluctuations is derived. For on-shell waves, which satisfy a quasilinear wave-kinetic equation, the theory conserves the momentum and energy of the wave--plasma system. The action of nonresonant waves is also conserved, unlike in the standard version of QLT. Dewar's oscillation-center QLT of electrostatic turbulence (1973, Phys. Fluids 16, 1102) is proven formally as a particular case and given a concise formulation. Also discussed as examples are relativistic electromagnetic and gravitational interactions, and QLT for gravitational waves is proposed.
description: 95 pages
Perfectly-Secure Synchronous MPC with Asynchronous Fallback Guarantees
Creators: name: Appan, Ananya
name: Chandramouli, Anirudh
name: Choudhury, Ashish
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Secure multi-party computation (MPC) is a fundamental problem in secure distributed computing. An MPC protocol allows a set of $n$ mutually distrusting parties to carry out any joint computation of their private inputs, without disclosing any additional information about their inputs. MPC with information-theoretic security provides the strongest security guarantees and remains secure even against computationally unbounded adversaries. Perfectly-secure MPC protocols is a class of information-theoretically secure MPC protocols, which provides all the security guarantees in an error-free fashion. The focus of this work is perfectly-secure MPC. Known protocols are designed assuming either a synchronous or asynchronous communication network. It is well known that perfectly-secure synchronous MPC protocol is possible as long as adversary can corrupt any $t_s < n/3$ parties. On the other hand, perfectly-secure asynchronous MPC protocol can tolerate up to $t_a < n/4$ corrupt parties. A natural question is does there exist a single MPC protocol for the setting where the parties are not aware of the exact network type and which can tolerate up to $t_s < n/3$ corruptions in a synchronous network and up to $t_a < n/4$ corruptions in an asynchronous network. We design such a best-of-both-worlds perfectly-secure MPC protocol, provided $3t_s + t_a < n$ holds. For designing our protocol, we design two important building blocks, which are of independent interest. The first building block is a best-of-both-worlds Byzantine agreement (BA) protocol tolerating $t < n/3$ corruptions and which remains secure, both in a synchronous as well as asynchronous network. The second building block is a polynomial-based best-of-both-worlds verifiable secret-sharing (VSS) protocol, which can tolerate up to $t_s$ and $t_a$ corruptions in a synchronous and in an asynchronous network respectively.
description: 62 pages, 18 figures, Full version of the article published in ACM PODC 2022
Corononema undetermined
Creators: name: Khudhir, Manda
name: Hodda, Mike
name: Nicholas, Evelyn
name: Campbell, Jennifer
name: Nicholas, Warwick L.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Nematoda
Chromadorea
Monhysterida
Xyalidae
Corononema
Corononema undetermined

description: Corononema sp.
Rapid Creek, NT. Littoral Sand substrate. 1 female; 2 life stage unrecorded. 19.10.92
Locality unrecorded, Australia. 1 female. Date unrecorded.
description: Published as part of Khudhir, Manda, Hodda, Mike, Nicholas, Evelyn, Campbell, Jennifer & Nicholas, Warwick L., 2023, A catalogue of the nematode slide collection from the late W. L. Nicholas held at National Research Collections Australia, CSIRO, pp. 1-109 in Zootaxa 5388 (1) on page 85, DOI: 10.11646/zootaxa.5388.1.1, http://zenodo.org/record/10390008
Corononema undetermined
Creators: name: Khudhir, Manda
name: Hodda, Mike
name: Nicholas, Evelyn
name: Campbell, Jennifer
name: Nicholas, Warwick L.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Nematoda
Chromadorea
Monhysterida
Xyalidae
Corononema
Corononema undetermined

description: Corononema sp. “ separalabitis ”
Bangburt, THAILAND. 1 female. 8.7.88
Chumporn, THAILAND. 1 male. 7.7.88
Genus Daptonema Cobb, 1920
description: Published as part of Khudhir, Manda, Hodda, Mike, Nicholas, Evelyn, Campbell, Jennifer & Nicholas, Warwick L., 2023, A catalogue of the nematode slide collection from the late W. L. Nicholas held at National Research Collections Australia, CSIRO, pp. 1-109 in Zootaxa 5388 (1) on page 85, DOI: 10.11646/zootaxa.5388.1.1, http://zenodo.org/record/10390008
Refined topological vertex with ON-planes
Creators: name: Kim, Sung-Soo
name: Wei, Xing-Yue
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We propose refined topological vertex formalism for 5-brane systems with ON-planes by introducing a new vertex associated with reflection over an ON-plane, which gives rise to new vertex and edge factors. We test our proposal against various 5d $\mathcal{N}=1$ gauge theories which can be realized as 5-brane webs with ON-planes, which include $D$-type quiver theories. In particular, we compute the refined partition functions for 6d E-string theory on a circle as well as 5d SU(3) theory at the Chern-Simons level 9, which can be realized as 5-brane webs with two ON-planes. Our results completely agree with the known results.
description: v1: 49 pages, 20 figures; v2: published version
Practical Efficient Microservice Autoscaling with QoS Assurance
Creators: name: Hossen, Md Rajib
name: Islam, Mohammad A.
name: Ahmed, Kishwar
Publisher: name: arXiv
Year: 2022
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Cloud applications are increasingly moving away from monolithic services to agile microservices-based deployments. However, efficient resource management for microservices poses a significant hurdle due to the sheer number of loosely coupled and interacting components. The interdependencies between various microservices make existing cloud resource autoscaling techniques ineffective. Meanwhile, machine learning (ML) based approaches that try to capture the complex relationships in microservices require extensive training data and cause intentional SLO violations. Moreover, these ML-heavy approaches are slow in adapting to dynamically changing microservice operating environments. In this paper, we propose PEMA (Practical Efficient Microservice Autoscaling), a lightweight microservice resource manager that finds efficient resource allocation through opportunistic resource reduction. PEMA's lightweight design enables novel workload-aware and adaptive resource management. Using three prototype microservice implementations, we show that PEMA can find efficient resource allocation and save up to 33% resource compared to the commercial rule-based resource allocations.
description: Appeared on HPDC'22, 13 pages, 20 figures
The Chemo-Dynamical Groups of Galactic Globular Clusters
Creators: name: Callingham, Thomas M.
name: Cautun, Marius
name: Deason, Alis J.
name: Frenk, Carlos S.
name: Grand, Robert J. J
name: Marinacci, Federico
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We introduce a multi-component chemo-dynamical method for splitting the Galactic population of Globular Clusters (GCs) into three distinct constituents: bulge, disc, and stellar halo. The latter is further decomposed into the individual large accretion events that built up the Galactic stellar halo: the Gaia-Enceladus-Sausage, Kraken and Sequoia structures, and the Sagittarius and Helmi streams. Our modelling is extensively tested using mock GC samples constructed from the AURIGA suite of hydrodynamical simulations of Milky Way (MW)-like galaxies. We find that, on average, a proportion of the accreted GCs cannot be associated with their true infall group and are left ungrouped, biasing our recovered population numbers to approximately 80 percent of their true value. Furthermore, the identified groups have a completeness and a purity of only 65 percent. This reflects the difficulty of the problem, a result of the large degree of overlap in energy-action space of the debris from past accretion events. We apply the method to the Galactic data to infer, in a statistically robust and easily quantifiable way, the GCs associated with each MW accretion event. The resulting groups' population numbers of GCs, corrected for biases, are then used to infer the halo and stellar masses of the now defunct satellites that built up the halo of the MW.
description: 18 pages, 11 figures, + Appendices
Validation of Monte Carlo Iodine-131 radiopharmaceutical dosimetry workflow using a 3D printed anthropomorphic head and neck phantom
Creators: name: Adam, David P.
name: Grudzinski, Joseph
name: Bormett, Ian
name: Cox, Benjamin L.
name: Marsh, Ian R.
name: Bradshaw, Tyler J.
name: Harari, Paul
name: Bednarz, Bryan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Medical Physics (physics.med-ph)
subject: FOS: Physical sciences

description: Purpose: In this study, we present the creation of an anthropomorphic, head and neck, nuclear medicine phantom and its characterization for the validation of a Monte Carlo, SPECT image based, Iodine-131 RPT dosimetry workflow. Methods: 3D printing techniques were used to create the anthropomorphic phantom from a patient CT dataset. Three Iodine-131 SPECT/CT imaging studies were performed using a homogeneous, Jaszczak, and an anthropomorphic phantom to quantify the SPECT images. The impact of collimator detector response (CDR) modeling and volume-based partial volume corrections (PVC) upon the absorbed dose was calculated using an image based, Geant4 Monte Carlo RPT dosimetry workflow and compared against a ground truth scenario. Finally, uncertainties were quantified in accordance with recent EANM guidelines. Results: The 3D printed anthropomorphic phantom was an accurate re-creation of patient anatomy including bone. The extrapolated Jaszczak recovery coefficients were greater than that of the 3D printed insert (~22.8 ml) for both the CDR and non-CDR cases. Utilizing Jaszczak phantom PVCs, the absorbed dose was underpredicted by 0.7% and 4.9% without and with CDR, respectively. Utilizing anthropomorphic phantom RCs overpredicted the absorbed dose by 3% both with and without CDR. All dosimetry scenarios that incorporated PVC were within the calculated uncertainty of the activity. The uncertainties in the cumulative activity ranged from 25.6% to 113% for Jaszczak spheres ranging in volume from 0.5 ml to 16 ml. Conclusion: The accuracy of Monte Carlo-based dosimetry for Iodine-131 RPT in head and neck cancer was validated with an anthropomorphic phantom. Future applications of the phantom could involve 3D printing and characterizing patient specific volumes for more personalized RPT dosimetry estimates.
description: 30 pages, 11 figures, 4 tables
Daptonema fissidens Cobb 1920
Creators: name: Khudhir, Manda
name: Hodda, Mike
name: Nicholas, Evelyn
name: Campbell, Jennifer
name: Nicholas, Warwick L.
Publisher: name: Zenodo
Year: 2023
Subjects: Biodiversity
Taxonomy
Animalia
Nematoda
Chromadorea
Monhysterida
Xyalidae
Daptonema
Daptonema fissidens

description: Daptonema fissidens Cobb, 1920
Candlagan, NSW. 1 life stage unrecorded. 14.7.77
description: Published as part of Khudhir, Manda, Hodda, Mike, Nicholas, Evelyn, Campbell, Jennifer & Nicholas, Warwick L., 2023, A catalogue of the nematode slide collection from the late W. L. Nicholas held at National Research Collections Australia, CSIRO, pp. 1-109 in Zootaxa 5388 (1) on page 85, DOI: 10.11646/zootaxa.5388.1.1, http://zenodo.org/record/10390008
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants
Creators: name: Li, Zhiyuan
name: Li, Hailong
name: Braimah, Adebayo
name: Dillman, Jonathan R.
name: Parikh, Nehal A.
name: He, Lili
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Structural magnetic resonance imaging studies have shown that brain anatomical abnormalities are associated with cognitive deficits in preterm infants. Brain maturation and geometric features can be used with machine learning models for predicting later neurodevelopmental deficits. However, traditional machine learning models would suffer from a large feature-to-instance ratio (i.e., a large number of features but a small number of instances/samples). Ensemble learning is a paradigm that strategically generates and integrates a library of machine learning classifiers and has been successfully used on a wide variety of predictive modeling problems to boost model performance. Attribute (i.e., feature) bagging method is the most commonly used feature partitioning scheme, which randomly and repeatedly draws feature subsets from the entire feature set. Although attribute bagging method can effectively reduce feature dimensionality to handle the large feature-to-instance ratio, it lacks consideration of domain knowledge and latent relationship among features. In this study, we proposed a novel Ontology-guided Attribute Partitioning (OAP) method to better draw feature subsets by considering the domain-specific relationship among features. With the better partitioned feature subsets, we developed an ensemble learning framework, which is referred to as OAP-Ensemble Learning (OAP-EL). We applied the OAP-EL to predict cognitive deficits at 2 years of age using quantitative brain maturation and geometric features obtained at term equivalent age in very preterm infants. We demonstrated that the proposed OAP-EL approach significantly outperformed the peer ensemble learning and traditional machine learning approaches.
description: Latest Version, published at NeuroImage. PMID: 35850161 DOI: 10.1016/j.neuroimage.2022.119484
Formalization of a Stochastic Approximation Theorem
Creators: name: Vajjha, Koundinya
name: Trager, Barry
name: Shinnar, Avraham
name: Pestun, Vasily
Publisher: name: arXiv
Year: 2022
Subjects: subject: Logic in Computer Science (cs.LO)
subject: Machine Learning (cs.LG)
subject: Programming Languages (cs.PL)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics
subject: G.3; D.2.4

description: Stochastic approximation algorithms are iterative procedures which are used to approximate a target value in an environment where the target is unknown and direct observations are corrupted by noise. These algorithms are useful, for instance, for root-finding and function minimization when the target function or model is not directly known. Originally introduced in a 1951 paper by Robbins and Monro, the field of Stochastic approximation has grown enormously and has come to influence application domains from adaptive signal processing to artificial intelligence. As an example, the Stochastic Gradient Descent algorithm which is ubiquitous in various subdomains of Machine Learning is based on stochastic approximation theory. In this paper, we give a formal proof (in the Coq proof assistant) of a general convergence theorem due to Aryeh Dvoretzky, which implies the convergence of important classical methods such as the Robbins-Monro and the Kiefer-Wolfowitz algorithms. In the process, we build a comprehensive Coq library of measure-theoretic probability theory and stochastic processes.
description: 17 pages
Back-haul in 5G systems for developing countries: A Literature review
Creators: name: Sawad, Inas
Publisher: name: figshare
Year: 2022
Subjects: subject: 100505 Microwave and Millimetrewave Theory and Technology
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 100508 Satellite Communications
subject: 100507 Optical Networks and Systems
subject: 109999 Technology not elsewhere classified
subject: FOS: Other engineering and technologies
subject: 90699 Electrical and Electronic Engineering not elsewhere classified

description: The paper considers some of the challenges that face operators, investors, and providers when planning to introduce 5G technology to developing countries. The main focus of this paper is the 5G transport network, in particular, the backhaul network. This discuss the 5G transport network architectural options and scenarios based on several standards and previous studies, investigates the exist infrastructures of the developing countries and study the new proposed technologies that may help to eliminate that challenges. 
High-order accurate entropy stable adaptive moving mesh finite difference schemes for (multi-component) compressible Euler equations with the stiffened equation of state
Creators: name: Li, Shangting
name: Duan, Junming
name: Tang, Huazhong
Publisher: name: arXiv
Year: 2022
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: This paper extends the high-order entropy stable (ES) adaptive moving mesh finite difference schemes developed in [14] to the two- and three-dimensional (multi-component) compressible Euler equations with the stiffened equation of state. The two-point entropy conservative (EC) flux is first constructed in the curvilinear coordinates. The high-order semi-discrete EC schemes are given with the aid of the two-point EC flux and the high-order discretization of the geometric conservation laws, and then the high-order semi-discrete ES schemes satisfying the entropy inequality are derived by adding the high-order dissipation term based on the multi-resolution weighted essentially non-oscillatory (WENO) reconstruction for the scaled entropy variables to the EC schemes. The explicit strong-stability-preserving Runge-Kutta methods are used for the time discretization and the mesh points are adaptively redistributed by iteratively solving the mesh redistribution equations with an appropriately chosen monitor function. Several 2D and 3D numerical tests are conducted on the parallel computer system with the MPI programming to validate the accuracy and the ability to capture effectively the localized structures of the proposed schemes.
description: 41 pages
Broad search for gravitational waves from subsolar-mass binaries through LIGO and Virgo's third observing run
Creators: name: Nitz, Alexander H.
name: Wang, Yi-Fan
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We present a search for gravitational waves from the coalescence of binaries which contain at least one subsolar mass component using data from the LIGO and Virgo observatories through the completion of their third observing run. The observation of a merger with a component below $1\,M_{\odot}$ would be a clear sign of either new physics or the existence of a primordial black hole population; these black holes could also contribute to the dark matter distribution. Our search targets binaries where the primary has mass $M_1$ between 0.1-100$\,M_{\odot}$ and the secondary has mass $M_2$ from 0.1-1$\,M_{\odot}$ for $M_1 < 20\,M_\odot$ and 0.01-1$\,M_{\odot}$ for $M_1 \ge 20\,M_\odot$. Sources with $M_1 < 7\,M_\odot, M_2 > 0.5\,M_\odot$ are also allowed to have orbital eccentricity up to $e_{10} \sim 0.3$. This search region covers from comparable to extreme mass ratio sources up to $10^4:1$. We find no statistically convincing candidates and so place new upper limits on the rate of mergers; our analysis sets the first limits for most subsolar sources with $7\,M_{\odot}< M_1 < 20\,M_{\odot}$ and tightens limits by $\sim 8\times$ $(1.6\times)$ where $M_1 > 20\,M_{\odot}$ ($M_1 < 7\,M_{\odot}$). Using these limits, we constrain the dark matter fraction to below 0.3 (0.7)$\%$ for 1 (0.5)$\,M_{\odot}$ black holes assuming a monochromatic mass function. Due to the high merger rate of primordial black holes beyond the individual source horizon distance, we also use the lack of an observed stochastic background as a complementary probe to limit the dark matter fraction. We find that although the limits are in general weaker than those from the direct search they become comparable at $0.1 \,M_{\odot}$.
description: 5 pages excluding references, 3 figures, comments welcome. Supplementary material at https://github.com/gwastro/subsolar-O3-search
Information-driven transitions in projections of underdamped dynamics
Creators: name: Nicoletti, Giorgio
name: Maritan, Amos
name: Busiello, Daniel M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Low-dimensional representations of underdamped systems often provide insightful grasps and analytical tractability. Here, we build such representations via information projections, obtaining an optimal model that captures the most information on observed spatial trajectories. We show that, in paradigmatic systems, the minimization of the information loss drives the appearance of a discontinuous transition in the optimal model parameters. Our results raise serious warnings for general inference approaches and unravel fundamental properties of effective dynamical representations, impacting several fields, from biophysics to dimensionality reduction.
Instance-aware multi-object self-supervision for monocular depth prediction
Creators: name: Boulahbal, Houssem
name: Voicila, Adrian
name: Comport, Andrew
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: This paper proposes a self-supervised monocular image-to-depth prediction framework that is trained with an end-to-end photometric loss that handles not only 6-DOF camera motion but also 6-DOF moving object instances. Self-supervision is performed by warping the images across a video sequence using depth and scene motion including object instances. One novelty of the proposed method is the use of the multi-head attention of the transformer network that matches moving objects across time and models their interaction and dynamics. This enables accurate and robust pose estimation for each object instance. Most image-to-depth predication frameworks make the assumption of rigid scenes, which largely degrades their performance with respect to dynamic objects. Only a few SOTA papers have accounted for dynamic objects. The proposed method is shown to outperform these methods on standard benchmarks and the impact of the dynamic motion on these benchmarks is exposed. Furthermore, the proposed image-to-depth prediction framework is also shown to be competitive with SOTA video-to-depth prediction frameworks.
description: IROS 2022 and RAL
Enhanced thermoelectric efficiency of zigzag bilayer phosphorene nanoribbon; edge states engineering
Creators: name: Sodagar, Shima
name: Karbaschi, Hossein
name: Soltani, Morteza
name: Amini, M.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We theoretically investigate the thermoelectric properties of zigzag bilayer phosphorene nanoribbons (ZBPNR). We first, draw an analogy between the extended Su-Schrieffer-Heeger (SSH) ladder and ZBPNR edge states and obtain their corresponding band structure and wave functions analytically. Then, by applying the energy filtering method, we show that the electric power and thermoelectric efficiency of the ZBPNRs can be improved remarkably in the presence of mid-gap edge states. We also argue how to engineer the edge modes to further optimize thermoelectric power and efficiency of the system by applying periodic point potentials at the boundaries.
Quasi-bialgebras from set-theoretic type solutions of the Yang-Baxter equation
Creators: name: Doikou, Anastasia
name: Ghionis, Alexandros
name: Vlaar, Bart
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Algebra (math.QA)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We examine classes of quantum algebras emerging from involutive, non-degenerate set-theoretic solutions of the Yang-Baxter equation and their q-analogues. After providing some universal results on quasi-bialgebras and admissible Drinfeld twists we show that the quantum algebras produced from set-theoretic solutions and their q-analogues are in fact quasi-triangular quasi-bialgebras. Specific illustrative examples compatible with our generic findings are worked out. In the q-deformed case of set-theoretic solutions we also construct admissible Drinfeld twists similar to the set-theoretic ones, subject to certain extra constraints dictated by the q-deformation. These findings greatly generalise recent relevant results on set theoretic solutions and their q-deformed analogues.
description: 25 pages, LaTex. Minor typos corrected
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control
Creators: name: Parisi, Simone
name: Rajeswaran, Aravind
name: Purushwalkam, Senthil
name: Gupta, Abhinav
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Recent years have seen the emergence of pre-trained representations as a powerful abstraction for AI applications in computer vision, natural language, and speech. However, policy learning for control is still dominated by a tabula-rasa learning paradigm, with visuo-motor policies often trained from scratch using data from deployment environments. In this context, we revisit and study the role of pre-trained visual representations for control, and in particular representations trained on large-scale computer vision datasets. Through extensive empirical evaluation in diverse control domains (Habitat, DeepMind Control, Adroit, Franka Kitchen), we isolate and study the importance of different representation training methods, data augmentations, and feature hierarchies. Overall, we find that pre-trained visual representations can be competitive or even better than ground-truth state representations to train control policies. This is in spite of using only out-of-domain data from standard vision datasets, without any in-domain data from the deployment environments. Source code and more at https://sites.google.com/view/pvr-control.
description: First two authors contributed equally
CARACTERISATION DES ZONES A RISQUE D'INONDATION DANS LA COMMUNE D'ATHIEME (SUD-OUEST BENIN)
Creators: name: Adjiha Edid AMOUZOUNVI
name: Jean SODJI
name: Pierre OUASSA
name: Davy Fifamè Karine KODJI
name: Expédit Wilfrid VISSIN
Publisher: name: Zenodo
Year: 2025

description: In recent decades, the world has been confronted with a phenomenon of climatic variability marked by cyclical floods that threaten populations and property. Like the large municipalities of Benin, the municipality of Athiémé suffers from flooding due to extreme rainfall and especially from the overflow of the Mono River. The objective of this study is to map the areas at risk of flooding in the municipality of Athiémé. The methodological approach consisted of integrating into a geographic information system (GIS), data interpreted from Landsat OLI images, hydro-climatic data and products derived from a digital elevation model (DTM). The cartographic processing was done using the ArcGis 10.4 software. The reclassification and combination of the various factors related to the floods made it possible to obtain the hazard and vulnerability maps. These maps have four classes ranging from low to very high risk of flooding. The results of the flood risk mapping show that the low and medium risk areas cover 24.27% and 24.48% of the Municipality respectively, the high-risk areas occupy 30.54% of the total area of the Municipality. The very high-risk areas are located in the immediate vicinity of watercourses and occupy 20.70% of the municipality. This risk map is a useful decision-making tool to prevent and effectively manage the risk of flooding in the Commune of Athiémé (South-West Benin).
Redshift factor and the small mass-ratio limit in binary black hole simulations
Creators: name: Albalat, Sergi Navarro
name: Zimmerman, Aaron
name: Giesler, Matthew
name: Scheel, Mark A.
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We present a calculation of the Detweiler redshift factor in binary black hole simulations based on its relation to the surface gravity. The redshift factor has far-reaching applications in analytic approximations, gravitational self-force calculations, and conservative two-body dynamics. By specializing to non-spinning, quasi-circular binaries with mass ratios ranging from $m_A/m_B = 1$ to $m_A/m_B = 9.5$ we are able to recover the leading small-mass-ratio (SMR) prediction with relative differences of order $10^{-5}$ from simulations alone. The next-to-leading order term that we extract agrees with the SMR prediction arising from self-force calculations, with differences of a few percent. These deviations from the first-order conservative prediction are consistent with non-adiabatic effects that can be accommodated in an SMR expansion. This fact is also supported by a comparison to the conservative post-Newtonian prediction of the redshifts. For the individual redshifts, a re-expansion in terms of the symmetric mass ratio $ν$ does not improve the convergence of the series. However we find that when looking at the sum of the redshift factors of both back holes, $z_A + z_B$, which is symmetric under the exchange of the masses, a re-expansion in $ν$ accelerates its convergence. Our work provides further evidence of the surprising effectiveness of SMR approximations in modeling even comparable mass binary black holes.
description: 22 pages, 23 figures