cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Guaranteed safe switching for switching adaptive control
Creators: name: Cha, Sung Han
Publisher: name: The Australian National University
Year: 2010
Subjects: subject: TJ217.C53 2010
subject: Adaptive control systems
subject: Nonlinear systems
subject: Switching theory
subject: Algorithms

description: Adaptive control algorithms may not behave well in practice due to discrepancies between the theory and actual practice. The proposed results in this manuscript constitute an effort in providing algorithms which assure more reliable operation in practice. Our emphasis is on algorithms that will be safe in the sense of not permitting destabilizing controllers to be switched in the closed-loop and to prevent wild signal fluctuations to occur. Coping with the connection or possible connection of destabilizing controllers is indeed a daunting task. One of the most intuitive forms of adaptive control, gain scheduling, is an approach to control of non-linear systems which utilizes a family of linear controllers, each of which provides satisfactory control for a different operating point of the system. We provide a mechanism for guaranteeing closed-loop stability over rapid switching between controllers. Our proposed design provides a simplification using only finite number of pre-determined values for the controller gain, where the observer gain is computed via a table look-up method. In comparison to the original gain scheduling design which our procedure builds on, our design achieves similar performance but with much less computational burden. Many multi-controller adaptive switching algorithms do not explicitly rule out the possibility of switching a destabilizing controller into the closed-loop. Even if the new controller is ensured to be stabilizing, performance verification with the new controller is not straightforward. The importance of this arises in iterative identification and control algorithms and multiple model adaptive control (MMAC). We utilize a limited amount of experimental and possibly noisy data obtained from a closed-loop consisting of an existing known stabilizing controller connected to an unknown plant-to infer if the introduction of a prospective controller will stabilize the unknown plant. We propose analysis results in a nonlinear setting and provide data-based tests for verifying the closed-loop stability with the introduction of a new nonlinear controller to replace a linear controller. We also propose verification tools for the closed-loop performance with the introduction of a new stabilizing controller using a limited amount of data obtained from the existing stable closed-loop. The simulation results in different practical scenarios demonstrate efficacy and versatility of our results, and illustrate practicality of our novel data-based tests in addressing an instability problem in adaptive control algorithms.
Additional file 1 of Evaluation of the cost-effectiveness of dexrazoxane for the prevention of anthracycline-related cardiotoxicity in children with sarcoma and haematologic malignancies: a European perspective
Creators: name: Dewilde, Sarah
name: Carroll, Kevin
name: Nivelle, Emilia
name: Sawyer, James
Publisher: name: figshare
Year: 2020
Subjects: subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Cancer
subject: Science Policy

description: Additional file 1. Meta-analysis search strategy. Table showing the search terms and filters utilised in the literature search.
title: Modelling Porous Cementitious Media with/without Integrated Latent Heat Storage: Application Scenario
Creators: name: Nazari Sam, Mona
name: Schneider, Jens
name: Lutze, Holger V.
Publisher: name: MDPI
Year: 2024

description: This paper presents a methodological approach for the evaluation of the thermal behavior of cementitious porous media with/without integrated latent-heat thermal energy storage (LHTES). To achieve this goal, the Lewis-Nielsen model has been calibrated to predict the insulation properties of mineralized foamed concretes. Two pore-related microstructural fitting parameters, A and Φm, are presented according to the available data in the literature. In this regard, new findings are implemented for the classification of pore structure and prediction of the homogenized thermal conductivity of two-phase cementitious foams with or without phase change materials. The calibration and predictive analyses have been extended to a wide range of experimental data, including variation of binder types, porosities, and latent components. The presented analytical approach appears to agree well with experimental results and can be employed in the design of two-phase mineral foam materials. Then, to assess the thermal behavior of the predicted insulating envelopes, a one-dimensional (1D) enthalpy-based model is used which combines Fourier’s law of heat conduction, the first law of thermodynamics, Lewis-Nielsen conductivities, and the mixture theory for LHTES additions. The results demonstrated the importance of volumetric heat capacity for the thermal inertia of building envelopes.
New Limits on the Low-frequency Radio Transient Sky Using 31 hr of All-sky Data with the OVRO-LWA
Creators: name: Anderson, M. M.
name: Hallinan, G.
name: Eastwood, M. W.
name: Monroe, R. M.
name: Callister, T. A.
name: Dowell, J.
name: Hicks, B.
name: Huang, Y.
name: Kassim, N. E.
name: Kocz, J.
name: Lazio, T. J. W.
name: Price, D. C.
name: Schinzel, F. K.
name: Taylor, G. B.
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: We present the results of the first transient survey from the Owens Valley Radio Observatory Long Wavelength Array (OVRO-LWA) using 31 hr of data, in which we place the most constraining limits on the instantaneous transient surface density at timescales of 13 s to a few minutes and at frequencies below 100 MHz. The OVRO-LWA is a dipole array that images the entire viewable hemisphere with 58 MHz of bandwidth from 27 to 84 MHz at 13 s cadence. No transients are detected above a 6.5$σ$ flux density limit of 10.5 Jy, implying an upper limit to the transient surface density of $2.5\times10^{-8}$ deg$^{-2}$ at the shortest timescales probed, which is orders of magnitude deeper than has been achieved at sub-100 MHz frequencies and comparable flux densities to date. The nondetection of transients in the OVRO-LWA survey, particularly at minutes-long timescales, allows us to place further constraints on the rate of the potential population of transients uncovered by Stewart et al. (2016). From their transient rate, we expect a detection of $8.4^{+31.8}_{-8.0}$ events, and the probability of our null detection is $1.9^{+644}_{-1.9}\times10^{-3}$, ruling out a transient rate $>1.4\times10^{-4} \text{days}^{-1} \text{deg}^{-2}$ with 95% confidence at a flux density limit of 18.1 Jy, under the assumption of a flat spectrum and wide bandwidth. We discuss the implications of our nondetection for this population and further constraints that can be made on the source spectral index, intrinsic emission bandwidth, and resulting luminosity distribution.
description: 20 pages, 8 figures, ApJ accepted
The two-dimensional Wess-Zumino model in the Hamiltonian lattice formulation
Creators: name: Beccaria, Matteo
name: Campostrini, Massimo
name: Feo, Alessandra
Publisher: name: arXiv
Year: 2003
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: We investigate a Hamiltonian lattice version of the two-dimensional Wess-Zumino model, with special emphasis to the pattern of supersymmetry breaking. Results are obtained by Quantum Monte Carlo simulations and Density Matrix Renormalization group techniques.
description: 3 pages, Lattice2003(theory)
Mnesampela comarcha Guest 1887
Creators: name: Young, Catherine J.
Publisher: name: Zenodo
Year: 2006
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Geometridae
Mnesampela
Mnesampela comarcha

description: Mnesampela comarcha Guest (Figs 292–296)
Oviposition
4♀ Code no.: G38, G57, G201, G424.
Period of oviposition: 8–22 Apr.
Batch size: 45.3 ± 9.7 (n = 4)
Realised fecundity: 45.3 ± 9.7 (range): 30–72
Incubation time (days): 24–36 (on moistening)
 Batch configuration and attachment: Attached, singly or small groups (Fig. 292).
 Colour: Pale yellowish­green, becoming crimson then greyish­brown on maturity (Fig. 292).
 Size (mm): (n=20) L=0.85 ± 0.01, W=0.70 ± 0.01, T=0.50 ± 0.01
Width/length: 0.82
No. of females: 3
 Aeropylar opening size (m) (n=5): L=1.50 ± 0.11, W=1.30 ± 0.08
Relative aeropylar opening size: 1.9
 Micropyles: Indistinct (Figs 293 & 294)
No. of openings: 4
No. of cells in rosette: 6
No. of rows of cells in micropylar area: 4
 Shape: Broad, bluntly ovoid; anterior pole truncated, polar profile sub­circular; dorsoventrally flattened (Figs 292, 293 & 295).
 Characteristics: Egg marked all over by hexagonal cells. Cell walls generally moderately broad, elevated, floors convex (Figs 293 & 295) except concave in middle of top of egg (Figs 295 & 296); micropylar cell walls narrow, cells slightly recessed (Fig. 294). Aeropyles elevated, slightly domed, openings small (Fig. 293); present on all surfaces apart from middle of top of egg (Fig. 295). Chorion shallowly wrinkled, smoother on middle of top of egg (Fig. 296).
description: Published as part of Young, Catherine J., 2006, Descriptions of the eggs of some southern Australian Geometridae (Lepidoptera), pp. 1-294 in Zootaxa 1287 on pages 1-294
Mnesampela heliochrysa Lower 1893
Creators: name: Young, Catherine J.
Publisher: name: Zenodo
Year: 2006
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Geometridae
Mnesampela
Mnesampela heliochrysa

description: Mnesampela heliochrysa Lower (Figs 297–302)
Oviposition
6♀ code no.: G37, G43, G135, G175, G179, G195.
Period of oviposition: 20 Feb.–18 Apr.
Batch size: 26.8 ± 3.5 (n = 10)
Realised fecundity 44.7 ± 12.6 (range): 20–106
Incubation time (days): 31–42 (on moistening)
 Batch configuration and attachment: Attached, large groups (Fig. 297).
 Colour: Light green, becoming chocolate brown then greyish­brown on maturity (Fig. 297).
 Size (mm): (n=10) L=1.24 ± 0.02, W=0.92 ± 0.01, T=0.63 ± 0.01
Width/length: 0.74
No. of females: 2
 Aeropylar opening size (m) (n=3): L=2.08 ± 0.30, W=1.56 ± 0.30
Relative aeropylar opening size: 1.9
 Micropyles: Indistinct (Figs 298 & 300)
No. of openings: 7
No. of cells in rosette: 7
No. of rows of cells in micropylar area: 6
 Shape: Moderately broad, sub­oblong; anterior pole truncated, polar profile subcircular; dorso­ventrally flattened (Figs 297, 298, 299 & 301).
 Characteristics: Egg marked all over by rounded hexagonal cells (Figs 298, 299, 301 & 302). Cell walls generally moderately broad, elevated, floors flat (Fig. 302); micropylar cell walls narrow, cells slightly recessed (Fig. 300). Cell reticulation mesh­like (Figs 298, 299, 301 & 302). Aeropyles not elevated, openings small (Fig. 302); present on all surfaces apart from middle of top of egg (Fig. 301). Chorion smooth (Fig. 302).
description: Published as part of Young, Catherine J., 2006, Descriptions of the eggs of some southern Australian Geometridae (Lepidoptera), pp. 1-294 in Zootaxa 1287 on pages 1-294
Anisotropic "charge-flipping" acceleration of highly charged ions from $(N_2)_n$ clusters in strong optical fields
Creators: name: Krishnamurthy, M.
name: Mathur, D.
name: Kumarappan, V.
Publisher: name: arXiv
Year: 2003
Subjects: subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: The disassembly of molecular clusters $(N_2)_n$ ($n$=50-3000) in strong optical fields is investigated using two-dimensional time-of-flight spectrometry. Very highly charged ions are formed with a two-component energy distribution. A low-energy, isotropic component correlates with Coulomb explosion. A high-energy, anisotropic component, that results from a ``charge flipping" acceleration mechanism, gives rise to ions with energies in excess of the Coulombic limit.
A simplified and improved approach to tensor network operators in two dimensions
Creators: name: O'Rourke, Matthew J.
name: Chan, Garnet Kin-Lic
Publisher: name: arXiv
Year: 2019
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Matrix product states (MPS) and matrix product operators (MPOs) are one dimensional tensor networks that underlie the modern density matrix renormalization group (DMRG) algorithm. The use of MPOs accounts for the high level of generality and wide range of applicability of DMRG. However, current algorithms for two dimensional (2D) tensor network states, known as projected entangled-pair states (PEPS), rarely employ the associated 2D tensor network operators, projected entangled-pair operators (PEPOs), due to their computational cost and conceptual complexity. To lower these two barriers, we describe how to reformulate a PEPO into a set of tensor network operators that resemble MPOs by considering the different sets of local operators that are generated from sequential bipartitions of the 2D system. The expectation value of a PEPO can then be evaluated on-the-fly using only the action of MPOs and generalized MPOs at each step of the approximate contraction of the 2D tensor network. This technique allows for the simpler construction and more efficient energy evaluation of 2D Hamiltonians that contain finite-range interactions, and provides an improved strategy to encode long-range interactions that is orders of magnitude more accurate and efficient than existing schemes.
description: 16 pages, 7 figures
Get quality data from messy UV spectra
Creators: name: Kaspar, Felix
Publisher: name: Zenodo
Year: 2021
Subjects: UV spectroscopy
reaction monitoring
background
deconvolution

description: This is my poster from the 2021 RSC Twitter conference (#RSCPoster), currently also available on Twitter (https://twitter.com/chemzymes/status/1366729890620452865, as of 5.5.2021). High spectral overlap is common with many transformations (especially in biocatalysis), which can make reaction monitoring based on a single wavelength quite error-prone. Meet spectral unmixing.
Evaluating the impact of Nature-based Solutions on the provision of water- related and water-dependant Ecosystem Services
Creators: name: Marijuan, Raquel
name: Díez Rodríguez, Bárbara
name: Sánchez, Raúl
name: Iglesias, Jesús
name: Sanchez, Claudia
name: Şirin, Başar
name: Baba, Alper
name: Gündüz, Orhan
Publisher: name: Zenodo
Year: 2024

description: Water scarcity is one of the main threats in the Mediterranean region, with natural water supplies no longer sufficient to meet growing demands. Agriculture is the main cause of pressure on natural water resources, leading to the loss of aquatic ecosystems. This situation is aggravated by the increasing effects of climate change and seasonal variations. To address this challenge, improvements in the management of the hydrologic cycle are needed.

Developing a nature-based approach to improve the efficiency of existing natural and grey water infrastructure can lead to a more sustainable and optimised response. NbS have a direct impact on improving water availability, and contribute to addressing water security and water governance challenges. However, the lack of a robust and independent standardised assessment of current NbS measures in water management remains a challenge. In this context, the NATMed project (PRIMA programme) aims to improve water management in the Mediterranean region through the implementation of innovative NbS, in adherence to IUCN Global Standard for NbS.
Paralaea atralba McQuillan, Young & Richardson
Creators: name: Young, Catherine J.
Publisher: name: Zenodo
Year: 2006
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Geometridae
Paralaea
Paralaea atralba

description: Paralaea atralba McQuillan, Young & Richardson (Figs 311–316)
Oviposition
2♀ Code no.: G215, 246.
Period of oviposition: 8–14 May
Batch size: 12.0 ± 4.6 range: 420 (n = 3)
Realised fecundity (range): 16–20.
Incubation time (days): 26–27.
 Batch configuration and attachment:
Attached, singly.
 Colour: Pale yellow, becoming transparent greyish­brown on maturity.
 Size (mm): (n=10) L=1.14 ± 0.02, W=0.92 ± 0.04, T=0.71 ± 0.02
Width/length: 0.81
No. of females: 2
 Aeropylar opening size (m) (n=5): L=1.11 ± 0.14, W=0.71 ± 0.12
Relative aeropylar opening size: 1.0
 Micropyles: Indistinct (Figs 311 & 312)
No. of openings: 8
No. of cells in rosette:10
No. of rows of cells in micropylar area: 4
 Shape: Broad, bluntly ovoid, posterior pole sub­acute; polar profile circular (Figs 311, 313 & 314); pronounced wedge­shaped in profile (Fig. 314); anterior pole slightly angled to horizontal axis (Fig. 313).
 Characteristics: Egg marked on all surfaces by slightly convex hexagonal cells. Cell walls narrow, recessed (Figs 311, 313, 314 & 315); micropylar cell walls narrow, slightly elevated; primary and secondary cell walls recessed (Fig. 312); cells in middle of top of egg slightly concave (Fig. 313). Aeropyles unelevated, inconspicuous, present on all surfaces apart from middle of top of cell, openings small (Fig. 316). Micropyles slightly off­centred (Fig. 311). Chorion rough, densely pitted, ridged (Fig. 316).
description: Published as part of Young, Catherine J., 2006, Descriptions of the eggs of some southern Australian Geometridae (Lepidoptera), pp. 1-294 in Zootaxa 1287 on pages 1-294
Learning with Optimized Random Features: Exponential Speedup by Quantum Machine Learning without Sparsity and Low-Rank Assumptions
Creators: name: Yamasaki, Hayata
name: Subramanian, Sathyawageeswar
name: Sonoda, Sho
name: Koashi, Masato
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Kernel methods augmented with random features give scalable algorithms for learning from big data. But it has been computationally hard to sample random features according to a probability distribution that is optimized for the data, so as to minimize the required number of features for achieving the learning to a desired accuracy. Here, we develop a quantum algorithm for sampling from this optimized distribution over features, in runtime $O(D)$ that is linear in the dimension $D$ of the input data. Our algorithm achieves an exponential speedup in $D$ compared to any known classical algorithm for this sampling task. In contrast to existing quantum machine learning algorithms, our algorithm circumvents sparsity and low-rank assumptions and thus has wide applicability. We also show that the sampled features can be combined with regression by stochastic gradient descent to achieve the learning without canceling out our exponential speedup. Our algorithm based on sampling optimized random features leads to an accelerated framework for machine learning that takes advantage of quantum computers.
description: 37 pages, 2 figures, accepted at Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020)
Quality of life in DLD (Larson, 2025)
Creators: name: Larson, Caroline
Publisher: name: ASHA journals
Year: 2025
Subjects: classificationCode: 470402
subject: Child language acquisition
classificationCode: 520403
subject: Learning, motivation and emotion
classificationCode: 420110
subject: Speech pathology

description: Purpose: Developmental language disorder (DLD) is a lifelong condition associated with poorer outcomes than neurotypical peers, yet relatively little is known about long-term quality of life in DLD. This preliminary study adopts a neurodiversity-informed approach by exploring self-reported quality of life in an adolescent and young adult DLD sample, as well as linguistic and risk factors contributing to quality of life.Method: Participants were five individuals with DLD aged 12–20 years (M = 15.60, SD = 3.05). I administered two self-report quality-of-life scales, a language assessment, an experimental morphosyntax task, and measures of risk factors. Data were analyzed descriptively.Results: Participants generally reported positive views about their quality of life, although accessing accommodations and health services emerged as barriers. Relatively better grammaticality judgment performance appeared to be linked with poorer ratings of happiness and the ability to “be yourself.” Nonverbal ability represented a potential risk factor, although there may be a stronger cumulative role for risk factors.Conclusions: Participants with DLD reported relatively good quality of life. Exploratory findings suggest barriers to quality of life in some contexts, as well as roles for individual differences in language and risk factors. These descriptive findings should be examined in larger scale studies and may represent areas of consideration when clinicians address functional challenges that impact mental health and well-being in individuals with DLD.Supplemental Material S1. DLD CELF-5 scores.Supplemental Material S2. Group-level participant characteristics.Supplemental Material S3. Speech-language and specialized services history.Supplemental Material S4. Standards for reporting descriptive research methods checklist (O’Brien et al., 2014).Supplemental Material S5. By-participant socioeconomic and health-related risk factors.Supplemental Material S6. Quality of life questionnaire results; means and standard deviations reported.Supplemental Material S7. Correlations between quality of life and language measures.Larson, C. (2025). Exploring self-reported quality of life in developmental language disorder. Perspectives of the ASHA Special Interest Groups, 10(1), 136–148. https://doi.org/10.1044/2024_PERSP-24-00122
Single Point of Access (SPA): A service hub for a remote access network
Creators: name: Burghardt, Anja
name: Schiller, David
Publisher: name: Zenodo
Year: 2014

description: The European Data without Boundaries (DwB) project proposes a Remote Access Network (Eu-RAN) to access confidential microdata from different sources. A centralized Single Point of Access (SPA) will make it easier to reach several decentralized organized network points and ease the work of researchers running projects with data from different data owners within this Network. To support sophisticated transnational research the IT-Infrastructure of the Eu-RAN contains a service hub attached to the SPA, which provides different tools for accredited researchers. The services offered include but are not limited to secured virtual research environments, user account and contract management, interfaces to research data access, text editors, statistical software packages, and tools for cooperation like forums, wikis or instant messaging service. This talk will highlight added values a SPA will generate for researchers using the Eu-RAN. In addition outcomes of DwB discussions about detailed requirements and functionalities for such SPA are presented. Having a centralized access point equipped with the described Service Hub will ease research with different data sources in Europe and bring together researchers, National Statistical Institutes, data archives, data owners and access facilities by offering the basis for a vibrant community.
On recent puzzles in the production of heavy quarkonia
Creators: name: Ioffe, B. L.
name: Kharzeev, D. E.
Publisher: name: arXiv
Year: 2003
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Recently, several surprising experimental observations in the production of heavy quarkonium have been reported. In $e^+e^-$ annihilation at $\sqrt{s}=10.6$ GeV, Belle Collaboration finds that $J/ψ$ mesons are predominantly produced in association with an extra $\bar{c}c$ pair, with $σ(e^+e^- \to J/ψ\bar{c}c) / σ(e^+e^- \to J/ψX) = 0.59^{+0.15}_{-0.13}\pm 0.12$, and the BaBar collaboration reports that the produced $J/ψ$'s have mostly longitudinal polarization. In $\bar{p}p$ collisions at the Tevatron, the CDF Collaboration reported an excess of $J/ψ$ and $ψ^{\prime}$ mesons at high $p_{\perp}$ over the perturbative QCD predictions; non--perturbative approach of NRQCD can accomodate the magnitude of the production cross section but not the observed experimentally polarization of quarkonia. In this note we propose possible solutions to these puzzles, and devise further experimental tests.
description: 3 pages, 2 figures
Trilepton and tetralepton bound and resonant states: the QED counterpart of multiquark states
Creators: name: Ma, Yao
name: Meng, Lu
name: Wen, Liang-Zhen
name: Zhu, Shi-Lin
Publisher: name: arXiv
Year: 2025
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: This work presents the first prediction of tetralepton resonant states containing muons, extending beyond the simplest tetralepton system, dipositronium ($\mathrm{Ps}_2$). With the rapid advancements in experimental facilities, the production and study of these intriguing states may be within reach. We perform a comprehensive analysis of S-wave trilepton and tetralepton systems within the framework of a QED Coulomb potential. We employ the Gaussian expansion method to solve the three- or four-body Schrödinger equation and utilize the complex scaling method to identify resonant states. We uncover a series of bound and resonant states in the trilepton systems $e^+e^+e^-$, $μ^+μ^+μ^-$, $e^+e^+μ^-$, and $μ^+μ^+e^-$, as well as the tetralepton systems $e^+e^+e^-e^-$, $μ^+μ^+μ^-μ^-$, and $μ^+μ^+e^-e^-$. The energies of these states range from $-30$ eV to $-1$ eV below the total mass of three or four leptons, with their widths varying from less than $0.01$ eV to approximately $0.07$ eV. Additionally, we calculate the spin configurations and root mean square radii of these states, providing insight into their spatial structures. No bound or resonant states are found in the trilepton $e^+μ^+e^-$, $μ^+e^+μ^-$ systems, nor in the tetralepton $μ^+e^+μ^-e^-$ system. A comparison with fully heavy tetraquark systems reveals that the additional color degree of freedom in QCD results in the absence of low-energy bound and resonant states. However, this extra degree of freedom allows for a broader range of $J^{PC}$ quantum numbers to produce resonant states, highlighting the rich complexity of QCD systems.
description: 14 pages, 11 figures. Comments are welcome
The Dirichlet Casimir Problem
Creators: name: Graham, N.
name: Jaffe, R. L.
name: Khemani, V.
name: Quandt, M.
name: Schroeder, O.
name: Weigel, H.
Publisher: name: arXiv
Year: 2003
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Casimir forces are conventionally computed by analyzing the effects of boundary conditions on a fluctuating quantum field. Although this analysis provides a clean and calculationally tractable idealization, it does not always accurately capture the characteristics of real materials, which cannot constrain the modes of the fluctuating field at all energies. We study the vacuum polarization energy of renormalizable, continuum quantum field theory in the presence of a background field, designed to impose a Dirichlet boundary condition in a particular limit. We show that in two and three space dimensions, as a background field becomes concentrated on the surface on which the Dirichlet boundary condition would eventually hold, the Casimir energy diverges. This result implies that the energy depends in detail on the properties of the material, which are not captured by the idealized boundary conditions. This divergence does not affect the force between rigid bodies, but it does invalidate calculations of Casimir stresses based on idealized boundary conditions.
description: 29 pages, 4 figures
title: recensione a: Postwar Italian Art History Today. Untying ‘the Knot’, a cura di Sharon Hecker e Marin R. Sullivan. New York: Bloomsbury, 2018
Creators: name: Subrizi, Carla
Publisher: name: Novecento transnazionale. Letterature, arti e culture / Transnational 20th Century. Literatures, Arts and Cultures
Year: 2020

description: Novecento transnazionale. Letterature, arti e culture / Transnational 20th Century. Literatures, Arts and Cultures, V. 4 (2020): Nuove forme transnazionali e transculturali: cultura, letteratura, arte e tecnologie digitali (a cura di Mariella Combi)
Polariton interactions in microcavities with atomically thin semiconductor layers
Creators: name: Bleu, O.
name: Li, G.
name: Levinsen, J.
name: Parish, M. M.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We investigate the interactions between exciton-polaritons in N two-dimensional semiconductor layers embedded in a planar microcavity. In the limit of low-energy scattering, where we can ignore the composite nature of the excitons, we obtain exact analytical expressions for the spin-triplet and spin-singlet interaction strengths, which go beyond the Born approximation employed in previous calculations. Crucially, we find that the strong light-matter coupling enhances the strength of polariton-polariton interactions compared to that of the exciton-exciton interactions, due to the Rabi coupling and the small photon-exciton mass ratio. We furthermore obtain the dependence of the polariton interactions on the number of layers N, and we highlight the important role played by the optically dark states that exist in multiple layers. In particular, we predict that the singlet interaction strength is stronger than the triplet one for a wide range of parameters in most of the currently used transition metal dichalcogenides. This has consequences for the pursuit of polariton condensation and other interaction-driven phenomena in these materials.
description: 13 pages, 3 figures
6.pdf
Creators: name: Oadi Matny
Publisher: name: figshare
Year: 2020
Subjects: subject: 70205 Animal Protection (Pests and Pathogens)
subject: FOS: Animal and dairy science
subject: 70302 Agronomy
subject: FOS: Agriculture, forestry and fisheries
subject: 70102 Agricultural Land Planning
subject: FOS: Other agricultural sciences

description: Food safety is one of the major concerns and problems that countries are facing it because of the rapidly growing population and the increase of global food demand. The large scale of food production faces many problems; one of them is contamination with mycotoxins due to poor storage facilities and marketing. Most mycotoxins are known to cause illness and health problems to humans and animals exposed to the mycotoxin. Mycotoxins can cause illness that symptomatically can be similar to other diseases that make it very difficult to diagnose and it is also hard to detect the mycotoxin derivatives and their effects in the biosystem. Due to poor study on the effects of the interaction of mycotoxins with other factors like vitamin deficiency, drugs, alcohol abuse, caloric deprivation etc., this field of research still needs more studies to understand the interaction between mycotoxins and other factors and their effects and also to develop new tools and methods that can be helping to detect and diagnose the derivative compounds of mycotoxins in the biosystem
Potential Effects of Atmospheric Collapse on Martian Heat Flow and Application to the InSight Measurements
Creators: name: Attree, Nicholas
name: Patel, Narissa
name: Hagermann, Axel
name: Grott, Matthias
name: Spohn, Tilman
name: Siegler, Matthew
Publisher: name: arXiv
Year: 2019
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Heat flow is an important constraint on planetary formation and evolution. It has been suggested that Martian obliquity cycles might cause periodic collapses in atmospheric pressure, leading to corresponding decreases in regolith thermal conductivity (which is controlled by gas in the pore spaces). Geothermal heat would then build up in the subsurface, potentially affecting present-day heat flow - and thus the measurements made by a heat-flow probe such as the InSight HP$^{3}$ instrument. To gauge the order of magnitude of this effect, we model the diffusion of a putative heat pulse caused by thermal conductivity changes with a simple numerical scheme and compare it to the heat-flow perturbations caused by other effects. We find that an atmospheric collapse to 300 Pa in the last 40 kyr would lead to a present-day heat flow that is up to $2-8\%$ larger than the average geothermal background. Considering the InSight mission with expected $5-15\%$ error bars on the HP$^{3}$ measurement, this perturbation would only be significant in the best-case scenario of full instrument deployment, completed measurement campaign, and a well-modelled surface configuration. The prospects for detecting long-term climate perturbations via spacecraft heat-flow experiments remain challenging.
description: 13 pages, 5 figures, accepted in PSS
Identification of potential novel inhibitors against the SARS-CoV-2 spike protein: targeting RBD and ACE2 interaction
Creators: name: Verma, Jyoti
name: Rath, Pragyan Parimita
name: Gourinath, Samudrala
name: Subbarao, Naidu
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biophysics
subject: Biochemistry
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: The SARS-CoV-2, responsible for the COVID-19 pandemic has wrecked devastation throughout the globe. The SARS-CoV-2 spike (S) glycoprotein plays crucial role in virus attachment, fusion, and entry. This study aims to identify inhibitors targeting the receptor binding domain (RBD) of the S protein using computational and experimental techniques. We carried out virtual screening of four datasets against the S-RBD. Six potential candidate inhibitors were selected for experimental evaluation. Here, we provide experimental evidence that the molecules 9‴-MethyllithosperMate, Epimedin A, Pentagalloylglucose, and Theaflavin-3-gallate have a high binding affinity towards SARS-CoV-2 S-RBD. 9‴-MethyllithosperMate with a KD value of 1.3 nM serves as the best inhibitor, followed by others with KD values in micromolar range. We performed molecular dynamics simulation to assess the binding stability of these inhibitors. Hence, our study reports novel inhibitors against the SARS-CoV-2 S-RBD and their predicted binding mode also suggest the possibility to interfere with the ACE2 binding.
Paralaea chionopasta McQuillan, Young & Richardson
Creators: name: Young, Catherine J.
Publisher: name: Zenodo
Year: 2006
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Lepidoptera
Geometridae
Paralaea
Paralaea chionopasta

description: Paralaea chionopasta McQuillan, Young & Richardson (Figs 323–330)
Oviposition
15♀ Code nos.: G175, G176, G522­536.
Batch size: 13.3 ± 1.7 range: 1–48 (n = 52)
Mean realised fecundity: 82.3 ± 9.0
Incubation time (days): 26–27 (on moistening)
 Batch configuration and attachment: Attached singly, short rows, groups, slightly shingled (Fig. 323).
 Colour: Pale bluish green, becoming darker and unmottled then transparent greyishbrown before eclosion (Fig. 323).
 Size (mm): (n=27) L=1.25 ± 0.07, W=0.90 ± 0.05, T=0.69 ± 0.06
Width/length: 0.72
No. of females: 3
 Aeropylar opening size (m) (n=6): L=0.95 ± 0.00
Relative aeropylar opening size: 0.9
 Micropyles: Indistinct (Figs 324 & 325)
No. of openings: 6
No. of cells in rosette: 10
No. of rows of cells in micropylar area: 4
 Shape: Narrow, elongated, bluntly ovoid, posterior pole sub­acute, wide (Figs 323, 326 & 327); polar profile circular (Fig. 324); wedge­shaped in profile; anterior pole truncated (Fig. 327), slightly angled to horizontal axis (Fig. 326).
 Characteristics: Egg marked on all surfaces by slightly convex hexagonal cells (Figs 326 & 327). Cell walls narrow, recessed (Fig. 328), except unelevated or recessed on lateral sides (Figs 329 & 330); micropylar cell walls narrow, slightly elevated; primary and secondary cell walls recessed (Fig. 325); cells in middle of top of egg slightly concave. Aeropyles irregularly shaped, unelevated, openings very small, inconspicuous (Figs 329 & 330), present on all surfaces apart from middle of top of cell. Micropyles slightly offcentred (Fig. 324). Anterior pole circumscribed with raised rim (Fig. 326). Chorion rough, pitted, wrinkled (Figs 328–330).
description: Published as part of Young, Catherine J., 2006, Descriptions of the eggs of some southern Australian Geometridae (Lepidoptera), pp. 1-294 in Zootaxa 1287 on pages 1-294
Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network
Creators: name: Tang, Chen
name: Chen, Jianyu
name: Tomizuka, Masayoshi
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Probabilistic vehicle trajectory prediction is essential for robust safety of autonomous driving. Current methods for long-term trajectory prediction cannot guarantee the physical feasibility of predicted distribution. Moreover, their models cannot adapt to the driving policy of the predicted target human driver. In this work, we propose to overcome these two shortcomings by a Bayesian recurrent neural network model consisting of Bayesian-neural-network-based policy model and known physical model of the scenario. Bayesian neural network can ensemble complicated output distribution, enabling rich family of trajectory distribution. The embedded physical model ensures feasibility of the distribution. Moreover, the adopted gradient-based training method allows direct optimization for better performance in long prediction horizon. Furthermore, a particle-filter-based parameter adaptation algorithm is designed to adapt the policy Bayesian neural network to the predicted target online. Effectiveness of the proposed methods is verified with a toy example with multi-modal stochastic feedback gain and naturalistic car following data.
description: Published as Conference Paper at ICRA 2019
Observing braneworld black holes
Creators: name: Gregory, Ruth
name: Whisker, Richard
name: Beckwith, Kris
name: Done, Chris
Publisher: name: arXiv
Year: 2004
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Astrophysics (astro-ph)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Spacetime in the vicinity of an event horizon can be probed using observations which explore the dynamics of the accretion disc. Many high energy theories of gravity lead to modifications of the near horizon regime, potentially providing a testing ground for these theories. In this paper, we explore the impact of braneworld gravity on this region by formulating a method of deriving the general behaviour of the as yet unknown braneworld black hole solution. We use simple bounds to constrain the solution close to the horizon.
description: 25 pages latex JHEP style, 3 figures
In silico evaluation of 4-thiazolidinone-based inhibitors against the receptor for advanced glycation end products (RAGE)
Creators: name: Haque, Ashanul
name: Alenezi, Khalaf M.
name: Khan, Mohd Wajid A.
name: Soury, Raoudha
name: Khan, Muhammad S.
name: Ahamad, Shahzaib
name: Ahmad, Shahnawaz
name: Gupta, Dinesh
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Biochemistry
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Non-enzymatic glycation of biomolecules by reducing sugars led to several products, including the advanced glycation end products (AGEs), the accumulation of which has been linked to various life-threatening diseases. The binding of AGEs to their respective protein receptors for advanced glycation end products (RAGE) can initiate a cascade of reactions, which may alter physiological conditions. The present work investigates the potential of 4-thiazolidinones as RAGE inhibitors. We performed an extensive computational study to identify the structural requirements needed to act as RAGE inhibitors. To achieve this goal, 4-thiazolidinone-based compounds available in PubChem, ZINC15, ChEMBL, and ChEBI databases were screened against RAGE (PDB: 4LP5), leading to the identification of top five drug-like candidates with a high binding affinity to RAGE V‐domain catalytic region. Drug likeness, absorption, distribution, metabolism, excretion, and toxicity (ADMET) of the top-scoring compounds have been studied and discussed. Global molecular descriptors, chemical reactivity, hardness, softness, etc., have been estimated. Finally, molecular dynamics (MD) simulations at 100 ns were carried out to check the stability and other properties. Overall, we believe that the identified compounds can potentially attenuate RAGE–AGE interactions.
Machine Learning-Based Differential Diagnosis of Parkinson's Disease Using Kinematic Feature Extraction and Selection
Creators: name: Matsumoto, Masahiro
name: Miah, Abu Saleh Musa
name: Asai, Nobuyoshi
name: Shin, Jungpil
Publisher: name: arXiv
Year: 2025
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Parkinson's disease (PD), the second most common neurodegenerative disorder, is characterized by dopaminergic neuron loss and the accumulation of abnormal synuclein. PD presents both motor and non-motor symptoms that progressively impair daily functioning. The severity of these symptoms is typically assessed using the MDS-UPDRS rating scale, which is subjective and dependent on the physician's experience. Additionally, PD shares symptoms with other neurodegenerative diseases, such as progressive supranuclear palsy (PSP) and multiple system atrophy (MSA), complicating accurate diagnosis. To address these diagnostic challenges, we propose a machine learning-based system for differential diagnosis of PD, PSP, MSA, and healthy controls (HC). This system utilizes a kinematic feature-based hierarchical feature extraction and selection approach. Initially, 18 kinematic features are extracted, including two newly proposed features: Thumb-to-index vector velocity and acceleration, which provide insights into motor control patterns. In addition, 41 statistical features were extracted here from each kinematic feature, including some new approaches such as Average Absolute Change, Rhythm, Amplitude, Frequency, Standard Deviation of Frequency, and Slope. Feature selection is performed using One-way ANOVA to rank features, followed by Sequential Forward Floating Selection (SFFS) to identify the most relevant ones, aiming to reduce the computational complexity. The final feature set is used for classification, achieving a classification accuracy of 66.67% for each dataset and 88.89% for each patient, with particularly high performance for the MSA and HC groups using the SVM algorithm. This system shows potential as a rapid and accurate diagnostic tool in clinical practice, though further data collection and refinement are needed to enhance its reliability.
Curriculum and pedagogy in wellness education : a proposal for a wellness course for Grade 11/12 students in BC
Creators: name: Birchett, Chrissy
Publisher: name: The University of British Columbia
Year: 2023

description: Wellness has been defined in many ways. One definition suggests that wellness is “a way of life oriented toward optimal health and well-being in which the body, mind and spirit are integrated by the individual to live more fully within the human and natural community” (Myers et al., 2005, p. 252). Wellness can be separated into various dimensions. In this paper, I use the eight dimensions that Kihm and McGregor (2020) outlined for Home Economics: emotional, social, spiritual, physical, occupational, environmental, financial, and intellectual. Together they are often represented as a wellness wheel. I created a wellness model with specific subsections based on the literature review, that indicates that all areas of wellness are connected to reach a holistic state of wellbeing. Currently in B.C. schools, courses are offered covering some aspects of wellness, such as nutrition, physical activity, and personal health (mental, emotional, and sexual health, personal choices, relationships), but the learning is fragmented and in senior courses (11 and 12), many of the wellness concepts are not covered. There is no mandatory class that cover all the dimensions of wellness in grade 11/12. This has led to my guiding question: what should a holistic wellness course entail in terms of curriculum and pedagogy? The culmination of my inquiry is the creation of a wellness course using the outline for a Board Authorized and Approved (BAA) course. My hope is that I can present my findings to my administration and implement a course that covers the suggested curriculum in wellness, for grade 11/12 students.
Canonical metric connections with constant holomorphic sectional curvature
Creators: name: Chen, Shuwen
name: Zheng, Fangyang
Publisher: name: arXiv
Year: 2025
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 53C55

description: We consider the conjecture of Chen and Nie concerning the space forms for canonical metric connections of compact Hermitian manifolds. We verify the conjecture for two special types of Hermitian manifolds: complex nilmanifolds with nilpotent $J$, and non-balanced Bismut torsion-parallel manifolds.
description: 15 pages
Cross-project defect prediction using data sampling for class imbalance learning: an empirical study
Creators: name: Lipika Goel
name: Mayank Sharma
name: Khatri, Sunil Kumar
name: D. Damodaran
Publisher: name: Taylor & Francis
Year: 2019
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Science Policy

description: The presence of defect data related to different projects leads to cross-project defect prediction an open issue in the field of research in software engineering. In cross-project defect prediction, the source and the target projects are different. The prediction model is trained by using the data sources of the different projects and then it is tested on the target data source. The data source from the varying projects leads to a highly imbalanced source dataset. The performance of the predictive model degrades due to this imbalance nature of the dataset. This is termed as the class imbalance problem in machine learning. This paper conducts an empirical analysis in a bi-fold manner. It evaluates whether data sampling techniques can handle the class imbalance problem and improve the performance of the predictive model for cross-project defect prediction (CPDP). Secondly, it also evaluates whether the results of CPDP after data sampling are comparable to within project defect prediction (WPDP). Ensemble learning classifiers are used as the predictive model over 12 publically available object-oriented project datasets. The experimental results infer that SMOTE oversampling can be applied to overcome the problem of class imbalance on CPDP. It also gives comparable results to WPDP with statistical significance.