cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Towards a more accurate estimation of the time since death in human bodies found decomposed in Australian conditions
Creators: name: Hayman, Jarvis
Publisher: name: The Australian National University
Year: 2013
Subjects: subject: Human decomposition Australia
subject: Forensic anthropology Australia
subject: Death Time of
subject: Australia Environmental conditions

description: The fate of the human body after death is a subject that has fascinated enquirers, both religious and scientific, for millennia. However, objective research into the causes and nature of human decomposition has only taken place in the last two centuries and quantitative measurement of the process as a means of estimating the time since death has only recently been attempted. Most research has involved attempting to estimate the time since death (TSD) in the early period after death; from the moment of death until the body cools to ambient temperature. When this phase is past and the body begins to putrefy, the estimation of the time of death becomes increasingly more difficult. The primary aim of this thesis is to develop a practical and easily applicable method for estimating the time since death (TSD) in the first two weeks of the post-mortem interval. A substantive discussion of the literature on the TSD in the early (up to 48 hour) post-mortem interval and the putrefaction period through to skeletonisation will put into context the aims and methodology employed in this research. The chief methodological approach is retrospective, with the addition of practical and experimentally based observations to increase the accuracy of and test the statistical modelling of time since death. The experimental format followed included: (1) Accessing the Australian National Coroner's information System (NCIS); (2) Collating data on individual autopsies of persons who had died some time prior to discovery and in whom the time since death was known with reasonable certainty; (3) Developing a quantitative method of assessing the degree of decomposition in a number of specific body organs and from this data compiling a numerically summated total body score (TBS) for each individual; (4) Increasing the accuracy of this system by attending a series of autopsies at the Victorian Institute of Forensic Medicine; (5) Further controlled research into human decomposition at the Forensic Anthropology Research Center ('body farm') of Texas State University in order to assess the role of temperature in the rate and process of decomposition; (6) Using the resultant dataset along with a range of environmental variables to develop a series of mathematical models to estimate time since death based on the degree of decomposition; (7) Testing the accuracy of the models both statistically and practically on a series of cases that were not involved in developing the time since death models. Models resulting from this work indicate that an accurate TSD in Australian indoor conditions can be estimated using the TBS independent of humidity and temperature variables.
Observer Design for Systems of Conservation Laws with Lipschitz Nonlinear Boundary Dynamics
Creators: name: Ferrante, Francesco
name: Cristofaro, Andrea
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The problem of state estimation for a system of coupled hyperbolic PDEs and ODEs with Lipschitz nonlinearities with boundary measurements is considered. An infinite dimensional observer with a linear boundary injection term is used to solve the state estimation problem. The interconnection of the observer and the system is written in estimation error coordinates and analyzed as an abstract dynamical system. The observer is designed to achieve global exponential stability of estimation error with respect to a suitable norm. Sufficient conditions in the form of matrix inequalities are proposed to design the observer. Numerical simulations support and corroborate the theoretical results.
description: This version fixes a few minor typos and proposes a clearer proof sketch for Proposition 1
Theory for quantum state of photon pairs generated from spontaneous parametric down conversion nonlinear process
Creators: name: Wang, Ruo Peng
name: Zhang, Hui Rong
Publisher: name: arXiv
Year: 2006
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a theory for the quantum state of photon pairs generated from spontaneous parametric down conversion nonlinear process in which the influence of the final sizes of nonlinear optical crystals on eigen optical modes is explicitly taken into consideration. We find that these photon pairs are not in entangled quantum states. Polarization correlations between the signal beam and the idler beam are explained. We also show that the two photons generated from SPDC are not spatially separated, therefore the polarization correlation between the signal and idler beams is not an evidence for quantum non-locality.
description: 10 pages
The 2.5 m Telescope of the Sloan Digital Sky Survey
Creators: name: Gunn, James E.
name: Siegmund, Walter A.
name: al, Edward J. Mannery et
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We describe the design, construction, and performance of the Sloan Digital Sky Survey Telescope located at Apache Point Observatory. The telescope is a modified two-corrector Ritchey-Chretien design which has a 2.5-m, f/2.25 primary, a 1.08-m secondary, a Gascoigne astigmatism corrector, and one of a pair of interchangeable highly aspheric correctors near the focal focal plane, one for imaging and the other for spectroscopy. The final focal ratio is f/5. The telescope is instrumented by a wide-area, multiband CCD camera and a pair of fiber-fed double spectrographs. Novel features of the telescope include: (1) A 3 degree diameter (0.65 m) focal plane that has excellent image quality and small geometrical distortions over a wide wavelength range (3000 to 10,600 Angstroms) in the imaging mode, and good image quality combined with very small lateral and longitudinal color errors in the spectroscopic mode. The unusual requirement of very low distortion is set by the demands of time-delay-and-integrate (TDI) imaging; (2) Very high precision motion to support open loop TDI observations; and (3) A unique wind baffle/enclosure construction to maximize image quality and minimize construction costs. The telescope had first light in May 1998 and began regular survey operations in 2000.
description: 87 pages, 27 figures. AJ (in press, April 2006)
Predicting fluid-structure interaction with graph neural networks
Creators: name: Gao, Rui
name: Jaiman, Rajeev K.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We present a rotation equivariant, quasi-monolithic graph neural network framework for the reduced-order modeling of fluid-structure interaction systems. With the aid of an arbitrary Lagrangian-Eulerian formulation, the system states are evolved temporally with two sub-networks. The movement of the mesh is reduced to the evolution of several coefficients via complex-valued proper orthogonal decomposition, and the prediction of these coefficients over time is handled by a single multi-layer perceptron. A finite element-inspired hypergraph neural network is employed to predict the evolution of the fluid state based on the state of the whole system. The structural state is implicitly modeled by the movement of the mesh on the solid-fluid interface; hence it makes the proposed framework quasi-monolithic. The effectiveness of the proposed framework is assessed on two prototypical fluid-structure systems, namely the flow around an elastically-mounted cylinder, and the flow around a hyperelastic plate attached to a fixed cylinder. The proposed framework tracks the interface description and provides stable and accurate system state predictions during roll-out for at least 2000 time steps, and even demonstrates some capability in self-correcting erroneous predictions. The proposed framework also enables direct calculation of the lift and drag forces using the predicted fluid and mesh states, in contrast to existing convolution-based architectures. The proposed reduced-order model via graph neural network has implications for the development of physics-based digital twins concerning moving boundaries and fluid-structure interactions.
Black Hole Mass Accretion Rates and Efficiency Factors for over 750 AGN and Multiple GBH
Creators: name: Daly, Ruth A.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Mass accretion rates in dimensionless and physical units, and efficiency factors describing the total radiant luminosity of the disk and the beam power of the outflow are studied here. Four samples of sources including 576 LINERs, 100 classical double (FRII) radio sources, 80 relatively local AGN, and 103 measurements of four stellar mass X-ray binary systems, referred to as Galactic Black Holes (GBH), are included in the study. All of the sources have highly collimated outflows leading to compact radio emission or powerful extended (FRII) radio emission. The properties of each of the full samples are explored, as are those of the four individual GBH, and sub-types of the FRII and local AGN samples. Source types and sub-types that have high, medium, and low values of accretion rates and efficiency factors are identified and studied. A new efficiency factor that describes the relative impact of black hole spin and mass accretion rate on the beam power is defined and studied, and is found to provide a new and interesting diagnostic. Mass accretion rates for 13 sources and efficiency factors for 6 sources are compared with values obtained independently, and indicate that similar values are obtained with independent methods. The mass accretion rates and efficiency factors obtained here substantially increase the number of values available, and improve our understanding of their relationship to source types. The redshift dependence of quantities is presented and the impact on the results is discussed.
description: 30 pages, 13 figures, 6 tables
Message for Mother Language Day
Creators: name: Hardkadee, Kraisorn
name: Ninjanbut, Thongsawat
name: Lau-Preechathammarach, Raksit Tyler
Publisher: name: California Language Archive, University of California, Berkeley
Year: 2023
Subjects: subject: sss

description: Concerns the value of preserving Thro. Three takes. Voices in background.
Magnetohydronamic Evolution of HII Regions in Molecular Clouds: Simulation Methodology, Tests, and Uniform Media
Creators: name: Krumholz, Mark R.
name: Stone, James M.
name: Gardiner, Thomas A.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We present a method for simulating the evolution of HII regions driven by point sources of ionizing radiation in magnetohydrodynamic media, implemented in the three-dimensional Athena MHD code. We compare simulations using our algorithm to analytic solutions and show that the method passes rigorous tests of accuracy and convergence. The tests reveal several conditions that an ionizing radiation-hydrodynamic code must satisfy to reproduce analytic solutions. As a demonstration of our new method, we present the first three-dimensional, global simulation of an HII region expanding into a magnetized gas. The simulation shows that magnetic fields suppress sweeping up of gas perpendicular to magnetic field lines, leading to small density contrasts and extremely weak shocks at the leading edge of the HII region's expanding shell.
description: Accepted to ApJ. 18 pages, 19 figures, emulateapj format. Figure resolutions degraded to fit within absurdly small astroph size limits. Full resolution figures and movies of simulations available are at http://www.astro.princeton.edu/~krumholz/downloads.html . This version uses a somewhat different cooling function, but the major results are unchanged
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery
Creators: name: Bourcier, Jules
name: Dashyan, Gohar
name: Chanussot, Jocelyn
name: Alahari, Karteek
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: The application of deep neural networks to remote sensing imagery is often constrained by the lack of ground-truth annotations. Adressing this issue requires models that generalize efficiently from limited amounts of labeled data, allowing us to tackle a wider range of Earth observation tasks. Another challenge in this domain is developing algorithms that operate at variable spatial resolutions, e.g., for the problem of classifying land use at different scales. Recently, self-supervised learning has been applied in the remote sensing domain to exploit readily-available unlabeled data, and was shown to reduce or even close the gap with supervised learning. In this paper, we study self-supervised visual representation learning through the lens of label efficiency, for the task of land use classification on multi-resolution/multi-scale satellite images. We benchmark two contrastive self-supervised methods adapted from Momentum Contrast (MoCo) and provide evidence that these methods can be perform effectively given little downstream supervision, where randomly initialized networks fail to generalize. Moreover, they outperform out-of-domain pretraining alternatives. We use the large-scale fMoW dataset to pretrain and evaluate the networks, and validate our observations with transfer to the RESISC45 dataset.
Punctuated Chirality
Creators: name: Gleiser, Marcelo
name: Thorarinson, Joel
name: Walker, Sara Imari
Publisher: name: arXiv
Year: 2008
Subjects: subject: Astrophysics (astro-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: Most biomolecules occur in mirror, or chiral, images of each other. However, life is homochiral: proteins contain almost exclusively levorotatory (L) amino acids, while only dextrorotatory (R) sugars appear in RNA and DNA. The mechanism behind this fundamental asymmetry of life remains an open problem. Coupling the spatiotemporal evolution of a general autocatalytic polymerization reaction network to external environmental effects, we show through a detailed statistical analysis that high intensity and long duration events may drive achiral initial conditions towards chirality. We argue that life's homochirality resulted from sequential chiral symmetry breaking triggered by environmental events, thus extending the theory of punctuated equilibrium to the prebiotic realm. Applying our arguments to other potentially life-bearing planetary platforms, we predict that a statistically representative sampling will be racemic on average.
description: 13 pages, 4 color figures. Final version published in Origins of Life and Evolution of Biospheres. Typos corrected, figures improved, and a few definitions and word usage clarified
Unravelling the Spin Dynamics of Molecular Nanomagnets with Four-Dimensional Inelastic Neutron Scattering
Creators: name: Garlatti, Elena
name: Chiesa, Alessandro
name: Guidi, Tatiana
name: Amoretti, Giuseppe
name: Santini, Paolo
name: Carretta, Stefano
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Molecular Nanomagnets have attracted the attention of the scientific community since the rich physics behind their magnetic behaviour make them ideal test-beds for fundamental concepts in quantum mechanics. Sophisticated experiments and targeted research activities have also unveiled their potential for several technological applications. Inelastic neutron scattering is a powerful and widely used technique to investigate the properties of these systems. The new generation of spectrometers, equipped with arrays of position-sensitive detectors, enable to efficiently measure the neutron cross-sections as a function of energy and of the three component of the momentum transfer vector Q, in vast portions of the reciprocal space. Exploiting these capabilities together with the availability of sufficiently large single-crystal samples of MNMs, it is now possible to obtain an unprecedented insight into the coherent spin dynamics of these molecular clusters. This is witnessed by several recent results, that we present in this review. By using the benchmark system Cr$_8$, it has been demonstrated that the richness of the four-dimensional inelastic neutrons scattering technique enables to extract dynamical correlation functions directly from the data. This technique has been also applied to the archetypical single-molecule magnet Mn$_{12}$ to unambiguously characterise its Spin Hamiltonian as well as to portray the entanglement between molecular qubits in (Cr$_7$Ni)$_2$.
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Creators: name: BOURCIER, Jules
name: Floquet, Thomas
name: Dashyan, Gohar
name: Ceillier, Tugdual
name: Alahari, Karteek
name: Chanussot, Jocelyn
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In defense-related remote sensing applications, such as vehicle detection on satellite imagery, supervised learning requires a huge number of labeled examples to reach operational performances. Such data are challenging to obtain as it requires military experts, and some observables are intrinsically rare. This limited labeling capability, as well as the large number of unlabeled images available due to the growing number of sensors, make object detection on remote sensing imagery highly relevant for self-supervised learning. We study in-domain self-supervised representation learning for object detection on very high resolution optical satellite imagery, that is yet poorly explored. For the first time to our knowledge, we study the problem of label efficiency on this task. We use the large land use classification dataset Functional Map of the World to pretrain representations with an extension of the Momentum Contrast framework. We then investigate this model's transferability on a real-world task of fine-grained vehicle detection and classification on Preligens proprietary data, which is designed to be representative of an operational use case of strategic site surveillance. We show that our in-domain self-supervised learning model is competitive with ImageNet pretraining, and outperforms it in the low-label regime.
Comparison of semiclassical transfer to continuum model with Ichimura-Austern-Vincent model in medium energy knockout reactions
Creators: name: Lei, Jin
name: Bonaccorso, Angela
Publisher: name: arXiv
Year: 2020
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The full quantum mechanical (QM) model of inclusive breakup of Ichimura-Austern-Vincent (IAV) is implemented in this paper to calculate breakup from heavy radioactive nuclei on a $^9$Be target at intermediate energies. So far it had been implemented and applied only to low energy reactions with light projectiles. The IAV model is successful in predicting absolute cross sections among other observables. In order to get insight on the content of the model in the case of the complicated heavy-ion reactions, results are compared with those of the semiclassical transfer to the continuum (TC) model. Because the TC is based on analytical formulae the dynamics of the breakup as it is contained in the rather involved IAV formalism will become more transparent. Heavy-ion reactions at high energies ($>$50A.MeV) are demanding from the computational point of view because of the high number of partial waves involved, typically around 100. The TC constitutes a useful alternative to the full QM calculations whenever predictions and/or estimates are necessary. It allows also for a systematic, fast evaluation of breakup observables. In the applications of both methods we use state-of-the art optical potentials and structure information. Excellent agreement is found between the calculated results of both methods and with available experimental data which shows that the qualitative and quantitative understanding of most aspects of one nucleon breakup is well under control.
description: 8 pages, 3 figures, supplementary material. Accepted for publication on Phys. Lett. B
Analysis of Ring Galaxies Detected Using Deep Learning with Real and Simulated Data
Creators: name: Krishnakumar, Harish
name: Kalmbach, J. Bryce
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Understanding the formation and evolution of ring galaxies, which possess an atypical ring-like structure, is crucial for advancing knowledge of black holes and galaxy dynamics. However, current catalogs of ring galaxies are limited, as manual analysis takes months to accumulate an appreciable sample of rings. This paper presents a convolutional neural network (CNN) to identify ring galaxies from unclassified samples. A CNN was trained on 100,000 simulated galaxies, transfer learned to a sample of real galaxies, and applied to a previously unclassified dataset to generate a catalog of rings which was then manually verified. Data augmentation with a generative adversarial network (GAN) to simulate images of galaxies was also employed. The resulting catalog contains 1967 ring galaxies. The properties of these galaxies were then estimated from their photometry and compared to the Galaxy Zoo 2 catalog of rings. However, the model's precision is currently limited due to a severe imbalance of rings in real datasets, leading to a significant false-positive rate of 41.1%, which poses challenges for large-scale application in surveys imaging billions of galaxies. This study demonstrates the potential of optimizing ML pipelines with low training data for rare morphologies and underscores the need for further refinements to enhance precision for extensive surveys like the Vera Rubin Observatory Legacy Survey of Space and Time.
description: 17 pages, 17 figures. Accepted for publication in the Astronomical Journal (AJ)
Statistical modelling and inference for multivariate and longitudinal discrete response data
Creators: name: Xu, James Jianmeng
Publisher: name: University of British Columbia
Year: 2009

description: This thesis presents research on modelling, statistical inference and computation for multivariate discrete data. I address the problem of how to systematically model multivariate discrete response data including binary, ordinal categorical and count data, and how to carry out statistical inference and computations. To this end, I relate the multivariate models to similar univariate models already widely used in applications and to some multivariate models that hitherto were available but scattered in the literature, and I introduce new classes of models. The main contributions in this thesis to multivariate discrete data analysis are in several distinct directions. In modelling of multivariate discrete data , we propose two new classification of multivariate parametric discrete models: multivariate copula discrete (MCD) models and multivariate mixture discrete (MMD) models. Numerous new multivariate discrete models are introduced through these two classes and several multivariate discrete models which have appeared in the literature are unified by these two classes. With appropriate choices of copulas, these two classes of models allow the marginal parameters and dependence parameters to vary with covariates in a natural way. By using special dependence structures, the models can be used for longitudinal data with short time series or repeated measures data. As a result, the scope of multivariate discrete data analysis is substantially broadened. In statistical inference and computation for multivariate models, we propose the inference function of margins (IFM) approach in which each inference function is a likelihood equation for some marginal distribution of a multivariate distribution. Examples where the approach applies are the multivariate logit model with the copulas having certain closure properties and the multivariate probit model for binary data. This general approach makes the estimation of parameters for the multivariate models computationally feasible. The corresponding asymptotic theory, the estimation of standard errors by the Godambe information matrix as well as the jackknife method, and the efficiency of the IFM approach relative to full multivariate likelihood function approach are studied. Particular attention has been given to the models with special dependence structure (e.g. the copula dependence structure is exchangeable or AR(1) type if applicable), and efficient parameter estimation schemes based on IFM (weighting approach and pool-marginal-likelihood approach) are developed. We also give detailed assessments of the efficiency of the GEE approach for estimating regression parameters in multivariate models; this is lacking in the literature. Detailed data analyses of existing data sets are provided to give concrete application of multivariate models and the statistical inference procedures in this thesis.
Lamellar phase solutions for diblock copolymers with nonlocal diffusions
Creators: name: Chan, Hardy
name: Nejad, Masomeh Jamshid
name: Wei, Juncheng
Publisher: name: arXiv
Year: 2020
Subjects: subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: For a diblock copolymer with total chain length $γ>0$ and mass ratio $m\in(-1,1)$, we consider the problem of minimizing the doubly nonlocal free energy $$ \mathcal{E}_{\varepsilon}(u) =\mathcal{H}(u) +\frac{1}{\varepsilon^{2s}} \int_ΩW(u)\,dx +\frac{1}{2}\int_Ω \left|(-γ^{2}Δ)^{-\frac{1}{2}}(u-m)\right|^2\,dx $$ in a domain $Ω$, where $\mathcal{H}(u)$ is a fractional $H^s$-norm with $s\in(0,\frac12)$, and $W$ is a double-well potential. This arises in the study of micro-phase separation phenomena for diblock copolymers with nonlocal diffusions. On the unit interval, we identify the $Γ$-limit as $\varepsilon\to0^+$, and also find explicit isolated local minimizers associated the lamellar morphology phase in the case $m=0$, provided that the chain is sufficiently short or the nonlocal interaction is sufficiently strong (i.e. as $s\to0^+$). We stress that such extra condition is new for the nonlocal case and is not present in the classical model. The proof, while elementary, requires a careful analysis of the nonlocal integrals.
description: 27 pages
The radio structure of radio-quiet quasars
Creators: name: Leipski, Christian
name: Falcke, Heino
name: Bennert, Nicola
name: Huettemeister, Susanne
name: ;
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We investigate the radio emitting structures of radio-quiet active galactic nuclei with an emphasis on radio-quiet quasars to study their connection to Seyfert galaxies. We present and analyse high-sensitivity VLA radio continuum images of 14 radio-quiet quasars and six Seyfert galaxies. Many of the low redshift radio-quiet quasars show radio structures that can be interpreted as jet-like outflows. However, the detection rate of extended radio structures on arcsecond scales among our sample decreases with increasing redshift and luminosity, most likely due to a lack of resolution. The morphologies of the detected radio emission indicate strong interactions of the jets with the surrounding medium. We also compare the radio data of seven quasars with corresponding HST images of the [OIII] emitting narrow-line region (NLR). We find that the scenario of interaction between the radio jet and the NLR gas is confirmed in two sources by structures in the NLR gas distribution as previously known for Seyfert galaxies. The extended radio structures of radio-quiet quasars at sub-arcsecond resolution are by no means different from that of Seyferts. Among the luminosities studied here, the morphological features found are similar in both types of objects while the overall size of the radio structures increases with luminosity. This supports the picture where radio-quiet quasars are the scaled-up versions of Seyfert galaxies. In addition to known luminosity relations we find a correlation of the NLR size and the radio size shared by quasars and Seyferts.
description: 14 pages, 15 figures, accepted for publication in A&A
Hansenocaris aquila Olesen & Grygier 2022
Creators: name: Olesen, Jørgen
name: Grygier, Mark J.
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Maxillopoda
Hansenocarididae
Hansenocaris
Hansenocaris aquila

description: Hansenocaris aquila Olesen & Grygier, 2022
Figs 2, 9D–E
Hansenocaris aquila Grygier &Olesen, 2022: 307, fig. 6.
Hansenocaris aquila – Olesen et al. 2024: fig. 2.
Material examined
JAPAN – Okinawa, Sesoko I., laboratory pier, 26°38ʹ09.4ʺ N, 127°51ʹ55.2ʺ E • 2 LSN; 1991–2005 (Tables 1 and S1).
Description
LAST-STAGE NAUPLIUS (LSN). Lecithotrophic. Body spoon-shaped in dorso-ventral view; about twice as long as wide; cephalic shield broadly rounded, with sharp discontinuity in body outline leading into trunk. In lateral view, trunk axis bent downwards ca 40° with respect to cephalic axis. Length 400 µm (ventral view of mounted exuvia, without dorso-caudal spine), greatest width ca 210 µm, dorso-ventral thickness ca 120 µm. Labrum with goblet-shaped outline in ventral view, its free posterior margin extending into large medial spine (‘stem’ of ‘goblet’), preceded by four small spines on labral midline; labral surface divided into facets by cuticular ridges. Trunk dorsum with four longitudinal rows of spines. Caudal end attenuate, terminating in 100 µm long, robust dorso-caudal spine armed with many smaller spines and accompanied ventrally at base by pair of small, ca 5 µm long furcal spines; long axis of dorso-caudal spine upturned 15° with respect to trunk axis.
CYPRID VIEWED THROUGH CUTICLE OF LSN. No live specimens examined.
Identification and variation
Easily recognizable by its labrum with the posterior margin extended into a large, eagle-beak-like median spine preceded by ca four small spines on the midline; also distinguished by the four dorsal rows of longitudinal spines on the trunk and the very long, robust and distinctly spinose dorso-caudal spine.
Distribution
Japan (Sesoko Island, Okinawa).
description: Published as part of Olesen, Jørgen & Grygier, Mark J., 2024, Taxonomic diversity of marine planktonic ' y-larvae' (Crustacea: Facetotecta) from a coral reef hotspot locality (Japan, Okinawa), with a key to y-nauplii, pp. 1-90 in European Journal of Taxonomy 929 (1) on page 26, DOI: 10.5852/ejt.2024.929.2479, http://zenodo.org/record/10876286
Finite-size scaling of the d=5 Ising model embedded in the cylindrical geometry: An influence of the hyperscaling violation
Creators: name: Nishiyama, Yoshihiro
Publisher: name: arXiv
Year: 2006
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Finite-size scaling (FSS) of the five-dimensional (d=5) Ising model is investigated numerically. Because of the hyperscaling violation in d>4, FSS of the d=5 Ising model no longer obeys the conventional scaling relation. Rather, it is expected that the FSS behavior depends on the geometry of the embedding space (boundary condition). In this paper, we consider the cylindrical geometry, and explore its influence on the correlation length ξ=L^Ωf(εL^{y^*_t}, H L^{y^*_h}) with system size L, reduced temperature ε, and magnetic field H; the indices, y^*_{t,h}, and Ω, characterize FSS. For that purpose, we employed the transfer-matrix method with Novotny's technique, which enables us to treat an arbitrary (integral) number of spins N=8,10, ..., 28; note that conventionally, N is restricted in N(=L^{d-1})=16,81,256,.... As a result, we estimate the scaling indices as Ω=1.40(15), y^*_t=2.8(2), and y^*_h=4.3(1). Additionally, under postulating Ω=4/3, we arrive at y^*_t=2.67(10) and y^*_h=4.0(2). These indices differ from the naively expected ones, Ω=1, y^*_t=2 and y^*_h=3. Rather, our data support the generic formulas, Ω=(d-1)/3, y^*_t=2(d-1)/3, and y^*_h=d-1, advocated for the cylindrical geometry in d \ge 4.
Design, simulation, and controls of a tendon-driven scrubbing robot
Creators: name: Purohit, Shivam B.
Publisher: name: No Publisher Supplied
Year: 2023

description: The scope of the thesis is to Design, simulate, and Control a tendon-driven scrubbing robot. The COVID-19 virus has brought new challenges to containment to avoid the further spread of microbes. The scrubbing robot is the potential solution to minimize human interaction with containment and provide a sanitized surface. Conventional industrial robots are used for multiple purposes like assembly lines, welding, and pick-drop, but they are yet to deployed to sanitize a surface within human proximity. In conventional manipulators, actuators are placed at the joint angle of each link, which adds inertia to the link-arms. The tendon-driven system addresses the problem by placing the actuators at the robot’s base to transmit the torque to link arms. A physical model of a tendon-driven scrubbing robot is constructed using a subtractive manufacturing method using lightweight machinable material, Aluminium 6061. Also, a digital twin of the physical model was built using Simscape Multibody Toolbox on the Simulink MATLAB platform. The simulation section contains forward kinematics, inverse kinematics, controller, stepper Motor Driver, stepper Motor, trajectory Generator, and assembly. A trajectory generator provides different forms of polynomial trajectory to inverse kinematic block. Three trajectories generated are Normal, Cubic, and Quinitc trajectories. The main task of inverse kinematics is to provide the joint angle to the controller, which uses the Pulse Width Modulation strategy to develop a response. The controller output two responses: 1) Pulse Train and 2) Directional Signal. The stepper motor Driver takes the output from the controller and provides a specific response depending on the phase of the stepper motor. A Two-phase permanent magnet stepper motor is used in the simulation. The Stepper motor offers appropriate torque for the respective link for the position control and simulation of a scrubbing motion per the trajectories provided. The stepper motor output and joint angle position are analyzed to validate the achievement of position control and proper operation of the overall system.
A Hybrid N-body--Coagulation Code for Planet Formation
Creators: name: Bromley, Benjamin C.
name: Kenyon, Scott J.
Publisher: name: arXiv
Year: 2006
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We describe a hybrid algorithm to calculate the formation of planets from an initial ensemble of planetesimals. The algorithm uses a coagulation code to treat the growth of planetesimals into oligarchs and explicit N-body calculations to follow the evolution of oligarchs into planets. To validate the N-body portion of the algorithm, we use a battery of tests in planetary dynamics. Several complete calculations of terrestrial planet formation with the hybrid code yield good agreement with previously published calculations. These results demonstrate that the hybrid code provides an accurate treatment of the evolution of planetesimals into planets.
description: Astronomical Journal, accepted; 33 pages + 11 figures
From intention to action: Multi-stakeholder recommendations for making sustainable food consumption a reality
Creators: name: Xhelili, Arlind
name: Nicolau, Mariana
Publisher: name: Zenodo
Year: 2021

description: Goals  How can we move from attitudes and intentions to action and generate behavioural change towards more sustainable food consumption in Europe? This report helps answer this question by making recommendations to various stakeholder groups on how to support sustainable consumption of food. It draws from research and insights of the latest and most compelling pieces of evidence, including those of behavioural science, aimed at supporting more sustainable and healthier diets in real-life contexts. In this report, sustainable food consumption refers to food purchasing and consumption patterns that are based on plant and fruit-rich diets with fewer animal-based products, locally sourced and organically produced food, and with less food waste and/or food packaging. Target audience The report is particularly targeted at policy makers at all levels (local, national, EU), civil society organisations (CSOs) and food industry and distribution actors (“food industry actors”), especially retailers and restaurants, that have a stake and are engaged in European food systems. Key outcomes  This report puts forward 14 recommendations to drive more sustainable food consumption in Europe, clustered into four main recommendation types: ‘choice environment’, ‘choice expansion’, ‘choice editing’ and ‘beyond choice’. The practical implementation of the recommendations discussed in the report is conditioned on a successful multi-stakeholder collaboration between policy makers, food industry actors and CSOs among the most important actors. Without underestimating the importance of innovation and creativity, it is crucial to capitalise on existing resources and initiatives and find ways of scaling them up. The effectiveness of the recommendations of this report will depend on a good understanding of the actual context of focus and should build upon existing or new pieces of behavioural insights that explain how and why people behave as they do. Moreover, it is important to consider consumers as active actors as opposed to passive ones with relatively no role in designing and shaping current frameworks. Various recommendations and insights in this report support the actions defined in the Farm to Fork Strategy under the specific goal to ‘promote sustainable food consumption and facilitate the shift to healthy, sustainable diets
description: Xhelili, A. & Nicolau, M. (2021). From intention to action: Multi-stakeholder recommendations for making sustainable food consumption a reality. VALUMICS Horizon 2020 G.A. No 727243. CSCP, Wuppertal, Germany. 59 p. DOI10.5281/zenodo.5337036
Dust Dynamics in AGN Winds: A New Mechanism For Multiwavelength AGN Variability
Creators: name: Soliman, Nadine H.
name: Hopkins, Philip F.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Partial dust obscuration in active galactic nuclei (AGN) has been proposed as a potential explanation for some cases of AGN variability. The dust-gas mixture present in AGN tori is accelerated by radiation pressure, leading to the launching of an AGN wind. Dust under these conditions has been shown to be unstable to a generic class of fast-growing resonant drag instabilities (RDIs). In this work, we present the first numerical simulations of radiation-driven outflows that explicitly include dust dynamics in conditions resembling AGN winds. We investigate the implications of RDIs on the torus morphology, AGN variability, and the ability of radiation to effectively launch a wind. We find that the RDIs rapidly develop, reaching saturation at times much shorter than the global timescales of the outflows, resulting in the formation of filamentary structure on box-size scales with strong dust clumping and super-Alfvénic velocity dispersions. The instabilities lead to fluctuations in dust opacity and gas column density of 10-20\% when integrated along mock observed lines-of-sight to the quasar accretion disk. These fluctuations occur over year to decade timescales and exhibit a red-noise power spectrum commonly observed for AGN. Additionally, we find that the radiation effectively couples with the dust-gas mixture, launching highly supersonic winds that entrain 70-90\% of the gas, with a factor of $\lesssim 3$ photon momentum loss relative to the predicted multiple-scattering momentum loading rate. Therefore, our findings suggest that RDIs play an important role in driving the clumpy nature of AGN tori and generating AGN variability consistent with observations.
description: 19 pages, 15 Figures
title: Paul C{u00E9}zanne, Georges Seurat and the practiced actions of painting: the visibilty of pictorial and painted structure in the material construction of painting
title: The constructed depiction : the visibility of process in the material construction of representational painting
titleType: AlternativeTitle
Creators: name: Malloy, Kevin
Publisher: name: The Australian National University
Year: 2018
Subjects: subject: C{u00E9}zanne, Paul, 1839-1906 Influence
subject: Seurat, Georges, 1859-1891 Influence
subject: Painting, French History19th century
subject: Painting, French Technique19th century
subject: Dialectic in art
subject: Art and philosophy
subject: Painting Philosophy
subject: Cubism InfluenceUnited States
subject: Surrealism InfluenceUnited States

description: Dissertation. This practice-led study examines representational painting as a visual and material dialectic. The related dissertation examines Paul C{u00E9}zanne and Georges Seurat's unique contributions to late nineteenth century painting. It argues that they turned the established understanding of the structure of painting inside out: that they presented thought through the traces of practiced actions in the material construction of painting. The studio project questions how applications of such historical ideas can be applied to new purposes in painting now. The visual and material problems of painting are investigated through the interface of depicted representations and materially constructed surfaces and in the integrated relationship of pictorial and painted structure. Abstractions as painted units are examined in systems of painted deliveries that recursively present equivalents for sight and thought in the visible traces of the practiced actions of painting that determine the visibility of process and depicted representations. Collapsing the historically stratified separations of pictorial and painted structures defines painting towards a more complete and complex bearing where representation and material construction are equally weighted. The study investigates painting's representational purpose and questions the complexities of sight and thought in painted touch evinced in the material construction of painting.
description: Dissertation. Paul C{u00E9}zanne, Georges Seurat and the practiced actions of painting: the visibilty of pictorial and painted structure in the material construction of painting -- Exegesis. The constructed depiction : the visibility of process in the material construction of representational painting.
Discrete Riemann surfaces, linear and non-linear
Creators: name: Mercat, Christian
Publisher: name: arXiv
Year: 2008
Subjects: subject: Mathematical Physics (math-ph)
subject: Complex Variables (math.CV)
subject: FOS: Physical sciences
subject: FOS: Mathematics
subject: 39A12 (Primary); 30G25,31C20,52C26, 37K25, 30F10 (Secondary)

description: 3 pages presentation of the theory of discrete conformal parameterization using circle patterns or its linearized theory. Principal results and ideas.
description: http://www.mfo.de/cgi-bin/tagung_espe?type=21&tnr=0610. Abstracts from the workshop held March 5-11, 2006. Organized by Alexander I. Bobenko, Richard W. Kenyon, John M. Sullivan and G\"unter M. Ziegler
Nonadiabatic molecular dynamics of water cluster dissociation by VUV absorption or electron impact excitation
Creators: name: Jones, Leighton
name: Schatz, George C
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 340608
subject: Solution chemistry
classificationCode: 340606
subject: Photochemistry
classificationCode: 340607
subject: Reaction kinetics and dynamics
classificationCode: 340701
subject: Computational chemistry
classificationCode: 340704
subject: Theoretical quantum chemistry

description: Output trajectory files of nonadiabatic surface hopping calculations (FSSH-DFT) for water cluster dissociation via VUV or electron impact.
Liouville Field, Modular Forms and Elliptic Genera
Creators: name: Eguchi, Tohru
name: Sugawara, Yuji
name: Taormina, Anne
Publisher: name: arXiv
Year: 2006
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: When we describe non-compact or singular Calabi-Yau manifolds by CFT, continuous as well as discrete representations appear in the theory. These representations mix in an intricate way under the modular transformations. In this article, we propose a method of combining discrete and continuous representations so that the resulting combinations have a simpler modular behavior and can be used as conformal blocks of the theory. We compute elliptic genera of ALE spaces and obtain results which agree with those suggested from the decompactification of K3 surface. Consistency of our approach is assured by some remarkable identity of theta functions whose proof, by D. Zagier, is included in an appendix.
description: 1+19 pages, no figure; v2 A proof of identity (2.40) due to D.Zagier is included in Appendix C, minor changes, references added; v3 minor changes, references added, to be published in JHEP
Real time implementation of CTRNN and BPTT algorithm to learn on-line biped robot balance: Experiments on the standing posture
Creators: name: Henaff, Patrick
name: Scesa, Vincent
name: Ouezdou, Fethi Ben
name: Bruneau, Olivier
Publisher: name: arXiv
Year: 2020
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This paper describes experimental results regarding the real time implementation of continuous time recurrent neural networks (CTRNN) and the dynamic back-propagation through time (BPTT) algorithm for the on-line learning control laws. Experiments are carried out to control the balance of a biped robot prototype in its standing posture. The neural controller is trained to compensate for external perturbations by controlling the torso's joint motions. Algorithms are embedded in the real time electronic unit of the robot. On-line learning implementations are presented in detail. The results on learning behavior and control performance demonstrate the strength and the efficiency of the proposed approach.
Networks that Catch : A Collision of 'Old' and 'New' Migrations in the Context of the War in Ukraine
Creators: name: Fedyuk, Olena
Publisher: name: Social Anthropology/Anthropologie sociale : Berghahn journals
Year: 2023

description: Forum: Russia's Invasion of Ukraine

CONTRIBUTORS: Elżbieta Drążkiewicz; Nataliya Tchermalykh; Volodymyr Artiukh; Karolina Follis; Ilmari Käihkö; Olena Fedyuk; Emma Rimpiläinen; Elizabeth Cullen Dunn; Iwona Kaliszewska; Anastasiya Astapova et al.