cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Light-regulated adsorption and desorption of Chlamydomonas cells at surfaces
Creators: name: Catalan, Rodrigo E.
name: Fragkopoulos, Alexandros A.
name: von Trott, Nicolas
name: Kelterborn, Simon
name: Baidukova, Olga
name: Hegemann, Peter
name: Bäumchen, Oliver
Publisher: name: arXiv
Year: 2022
Subjects: subject: Biological Physics (physics.bio-ph)
subject: Soft Condensed Matter (cond-mat.soft)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Microbial colonization of surfaces represents the first step towards biofilm formation, which is a recurring phenomenon in nature with beneficial and detrimental implications in technological and medical settings. Consequently, there is a current interest in elucidating the fundamental aspects of the initial stages of biofilm formation of microorganisms on solid surfaces. While most of the research is oriented to understand bacterial surface colonization, such observations at a fundamental level using photosynthetic microalgae are thus far elusive. Recent single-cell studies showed that the flagellar adhesion of Chlamydomonas is switched on in blue light and switched off under red light [Kreis et al., Nature Physics, 2018, 14, 45-49]. Here, we study this light-switchable surface association of C. reinhardtii on the population level and measure the kinetics of adsorption and desorption of suspensions of motile cells on glass surfaces using bright field optical microscopy. We observe that both processes exhibit a response lag relative to the time at which the blue- and red-light conditions are set and model this feature using time-delayed Langmuir-type kinetics. We find that cell adsorption occurs significantly faster than desorption, which we attribute to the protein-mediated molecular adhesion mechanism of the cells. Adsorption experiments using phototactically blind Chlamydomonas mutants demonstrate that phototaxis does not affect the cell adsorption kinetics. Hence, this method can be used as an assay for characterizing the dynamics of the surface colonization of microbial species exhibiting light-regulated surface adhesion.
description: 10, pages, 6 figures
Supplementary Material
Creators: name: Adrian, Derek E
name: Rishniw, Mark
name: Scherk, Margie
name: B Duncan X Lascelles
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Full survey distributed to VIN members investigating prescribing practices for chronic musculoskeletal pain in cats.
Kaleidoscope of irradiated disks: MUSE observations of proplyds in the Orion Nebula Cluster. I. Sample presentation and ionization front sizes
Creators: name: Aru, Mari-Liis
name: Mauco, Karina
name: Manara, Carlo F.
name: Haworth, Thomas J.
name: Facchini, Stefano
name: McLeod, Anna F.
name: Miotello, Anna
name: Petr-Gotzens, Monika G.
name: Robberto, Massimo
name: Rosotti, Giovanni P.
name: Vicente, Silvia
name: Winter, Andrew
name: Ansdell, Megan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: In the Orion Nebula Cluster (ONC), protoplanetary disks exhibit ionized gas clouds in the form of a striking teardrop shape as massive stars irradiate the disk material. We present the first spatially and spectrally resolved observations of 12 proplyds, using Integral Field Spectroscopy observations performed with the MUSE instrument in Narrow Field Mode (NFM) on the VLT. We present the morphology of the proplyds in seven emission lines and measure the radius of the ionization front (I-front) of the targets in four tracers, covering transitions of different ionization states for the same element. We also derive stellar masses for the targets. The measurements follow a consistent trend of increasing I-front radius for a decreasing strength of the far-UV radiation as expected from photoevaporation models. By analyzing the ratios of the I-front radii as measured in the emission lines of Ha, [OI] 6300, [OII] 7330, and [OIII] 5007, we observe the ionization stratification, that is, the most ionized part of the flow being the furthest from the disk (and closest to the UV source). The ratios of I-front radii scale in the same way for all proplyds in our sample regardless of the incident radiation. We show that the stratification can help constrain the densities near the I-front by using a 1D photoionization model. We derive the upper limits of photoevaporative mass-loss rates by assuming ionization equilibrium, and estimate values decreasing towards lower impinging radiation. We do not find a correlation between Mloss and stellar mass. The highest mass-loss rate is for the proplyd 244-440. These values of Mloss, combined with estimates of the disk mass with ALMA, confirm previous estimates of the short lifetime of these proplyds. This work demonstrates the potential of this dataset and offers a new set of observables to be used to test current and future models of external photoevaporation.
description: Submitted to A&A on December 18, 2023. Accepted on April 2, 2024
Random survival forests with multivariate longitudinal endogenous covariates
Creators: name: Devaux, Anthony
name: Helmer, Catherine
name: Genuer, Robin
name: Proust-Lima, Cécile
Publisher: name: arXiv
Year: 2022
Subjects: subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Predicting the individual risk of a clinical event using the complete patient history is still a major challenge for personalized medicine. Among the methods developed to compute individual dynamic predictions, the joint models have the assets of using all the available information while accounting for dropout. However, they are restricted to a very small number of longitudinal predictors. Our objective was to propose an innovative alternative solution to predict an event probability using a possibly large number of longitudinal predictors. We developed DynForest, an extension of competing-risk random survival forests that handles endogenous longitudinal predictors. At each node of the tree, the time-dependent predictors are translated into time-fixed features (using mixed models) to be used as candidates for splitting the subjects into two subgroups. The individual event probability is estimated in each tree by the Aalen-Johansen estimator of the leaf in which the subject is classified according to his/her history of predictors. The final individual prediction is given by the average of the tree-specific individual event probabilities. We carried out a simulation study to demonstrate the performances of DynForest both in a small dimensional context (in comparison with joint models) and in a large dimensional context (in comparison with a regression calibration method that ignores informative dropout). We also applied DynForest to (i) predict the individual probability of dementia in the elderly according to repeated measures of cognitive, functional, vascular and neuro-degeneration markers, and (ii) quantify the importance of each type of markers for the prediction of dementia. Implemented in the R package DynForest, our methodology provides a novel and appropriate solution for the prediction of events from any number of longitudinal endogenous predictors.
Squaring the Circle and its properties on Hilbert Space
Creators: name: Martínez Díaz, José Rodrigo Alejandro
Publisher: name: Zenodo
Year: 2024

description: This manuscript contains set properties to define the number $\sqrt{3}r + \delta$ ; use to prove the equality $A_{Square} = A_{Circle}$ and its use to define the two set of coordinates use on the construction of Squaring the Circle as well as its properties like Hilbert Spaces.
Meta-plasticity and memory in multi-level recurrent feed-forward networks
Creators: name: Zanardi, Gianmarco
name: Bettotti, Paolo
name: Morand, Jules
name: Pavesi, Lorenzo
name: Tubiana, Luca
Publisher: name: arXiv
Year: 2024
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: Network systems can exhibit memory effects in which the interactions between different pairs of nodes adapt in time, leading to the emergence of preferred connections, patterns, and sub-networks. To a first approximation, this memory can be modelled through a ``plastic'' Hebbian or homophily mechanism, in which edges get reinforced proportionally to the amount of information flowing through them. However, recent studies on glia-neuron networks have highlighted how memory can evolve due to more complex dynamics, including multi-level network structures and ``meta-plastic'' effects that modulate reinforcement. Inspired by those systems, here we develop a simple and general model for the dynamics of an adaptive network with an additional meta-plastic mechanism that varies the rate of Hebbian strengthening of its edge connections. The meta-plastic term acts on a second network level in which edges are grouped together, simulating local, longer time-scale effects. Specifically, we consider a biased random walk on a cyclic feed-forward network. The random walk chooses its steps according to the weights of the network edges. The weights evolve through a Hebbian mechanism modulated by a meta-plastic reinforcement, biasing the walker to prefer edges that have been already explored. We study the dynamical emergence (memorisation) of preferred paths and their retrieval and identify three regimes: one dominated by the Hebbian term, one in which the meta-reinforcement drives memory formation, and a balanced one. We show that, in the latter two regimes, meta-reinforcement allows the retrieval of a previously stored path even after the weights have been reset to zero to erase Hebbian memory.
description: 14 pages, 9 figures, plus supplementary
Squaring the Circle and its properties on Hilbert Space
Creators: name: Martínez Díaz, José Rodrigo Alejandro
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Pure mathematics
subject: Mathematics
subject: FOS: Mathematics
subject: Applied mathematics

description: This manuscript contains set properties to define the number $\sqrt{3}r + \delta$ ; use to prove the equality $A_{Square} = A_{Circle}$ and its use to define the two set of coordinates use on the construction of Squaring the Circle as well as its properties like Hilbert Spaces.
Additional file 1 of Pharmacist management of atrial fibrillation in UK primary care: a qualitative study
Creators: name: Al-Arkee, Shahd
name: Mason, Julie
name: Lindenmeyer, Antje
name: Jalal, Zahraa
Publisher: name: figshare
Year: 2024
Subjects: subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1. Interview Topic Guide.
Supplemental material 1 for Impact of simulation training on a telestroke network
Creators: name: Carvalho, Valério S
name: Picanço, Miguel R
name: Volschan, André
name: Bezerra, Daniel C
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: Cardiology
subject: Medicine
subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine

description: Supplemental material 1 for Impact of simulation training on a telestroke network by Valério S Carvalho Jr, Miguel R Picanço, André Volschan and Daniel C Bezerra in International Journal of Stroke
Ceutorhynchus striatellus Schultze 1900
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Ceutorhynchus
Ceutorhynchus striatellus

description: Ceutorhynchus striatellus Schultze, 1900
[= C. angustus Dieckmann & Smreczyñski, 1972] (Colonnelli 1998).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 13, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Depletion of fossil fuel reserves and projections of CO$_2$ concentration in the Earth atmosphere
Creators: name: Mazza, Daniele
name: Canuto, Enrico
Publisher: name: arXiv
Year: 2022
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Geophysics (physics.geo-ph)
subject: FOS: Physical sciences

description: The paper has been suggested by two observations: 1) the atmospheric CO$_2$ growth rate is smaller than that ascribed to the emission of fossil fuels combustion, 2) the fossil fuel reserves are finite. The first observation has lead the way to a simple kinetic mode, based on the balance of 1) land/ocean CO$_2$ absorption and 2) CO$_2$ anthropogenic emission limited solely by depletion of the present day fossil-fuel reserves, in a business-as-usual scenario. The second observation has suggested to extrapolate past CO$_2$ emissions by fossil fuel combustion in the future years up to 2200 CE, by constraining emissions to the physical limits of reserves availability. The Meixner curve (hyperbolic secant distribution) has been used to model the pathway of resource exploitation for the three main classes of fossil fuels, crude oil, natural gas and coal. The kinetic model, driven by the extrapolated emissions, has been employed to project the CO$_2$ atmospheric concentration due to fossil fuel combustion close to the zero-reserve epoch. The result is just the output of simple models tuned on well-known experimental data. Error analysis of literature data provides the method robustness and the relevant uncertainty band. Contribution of other greenhouse gases like methane and nitrous oxide has been neglected, since their emissions cannot be projected with the paper methodology (they do not derive from fossil reserves). Notwithstanding this limitation, paper results clearly demonstrate that some of the IPCC projections of the CO$_2$ concentration are largely overestimated if compared to the physical limits of fossil fuel exploitation.
Additional file 3 of Single-cell profiles reveal tumor cell heterogeneity and immunosuppressive microenvironment in Waldenström macroglobulinemia
Creators: name: Sun, Hao
name: Fang, Teng
name: Wang, Tingyu
name: Yu, Zhen
name: Gong, Lixin
name: Wei, Xiaojing
name: Wang, Huijun
name: He, Yi
name: Liu, Lanting
name: Yan, Yuting
name: Sui, Weiwei
name: Xu, Yan
name: Yi, Shuhua
name: Qiu, Lugui
name: Hao, Mu
Publisher: name: figshare
Year: 2024
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 3: Figure S1. Quality control and visualization of scRNA-seq data. Figure S2. Tumor heterogeneity and T cells state in WM.
Ceutorhynchus typhae N C S Si Sa
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Ceutorhynchus
Ceutorhynchus typhae

description: Ceutorhynchus typhae (Herbst, 1795)
[= Curculio floralis Paykull, 1792 not Olivier, 1790] (Colonnelli 1998).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 13, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Neutron Star Crust Can Support A Large Ellipticity
Creators: name: Morales, J. A.
name: Horowitz, C. J.
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Non-axisymmetrical deformations of the crust on rapidly rotating neutron stars are one of the main targets of searches for continuous gravitational waves. The maximum ellipticity, or fractional difference in moments of inertia, that can be supported by deformations of the crust (known as "mountains") provides an important upper limit on the strength of these continuous gravitational wave sources. We use the formalism of Gittins et al 2021, along with a deforming force that acts mainly in the transverse direction, to obtain a maximum ellipticity of 7.4$\times$10$^{-6}$. This is larger than the original results of Gittins et al 2021 but consistent with earlier calculations by Ushomirsky et al 2000. This suggests that rotating neutron stars could be strong sources of continuous gravitational waves.
description: 9 pages, 5 figures, minor revisions MNRAS in press
The nontrivial effects of annealing on superconducting properties of Nb single crystals
Creators: name: Datta, Amlan
name: Joshi, Kamal R.
name: Berti, Giulia
name: Ghimire, Sunil
name: Goerdt, Aidan
name: Tanatar, Makariy A.
name: Schlagel, Deborah L.
name: Besser, Matthew F.
name: Jing, Dapeng
name: Kramer, Matthew
name: Iavarone, Maria
name: Prozorov, Ruslan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: The effect of annealing on the superconducting properties of niobium single crystals cut from the same master boule was studied by local and global magnetic measurements, as well as scanning tunneling microscopy (STM). The formation of large hydride precipitates was observed in unannealed samples. The variation in structural and magnetic properties was studied after annealing under high vacuum at 800 C, 1400 C, and near the melting point of niobium (2477 C) for a few seconds. The initial samples had a high hydrogen content. Polarized optics and magneto-optical studies show that the formation of large niobium hydride precipitates is suppressed already by 800 C annealing. However, the overall superconducting properties in the annealed samples did not improve after annealing, and in fact, worsened. The superconducting transition temperature decreased, the upper critical field increased, and the pinning strength increased. Parallel studies were conducted using STM, where the sample was annealed initially at 400 C, measured, annealed again at 1700 C, and measured again. These studies revealed a ``dirty'' superconducting gap with a significant spatial variation of tunneling conductance after annealing at 400 C. The clean gap was recovered after annealing at 1700 C. It is likely that these results are due to oxygen redistribution near the surface, which is always covered by oxide layers in as-grown crystals. Overall, the results indicate that vacuum annealing at least up to 1400 C, while expected to remove a large amount of hydrogen, introduces additional nanosized defects, perhaps hydride precipitates, that act as efficient pair-breaking and pinning centers.
Additional file 7 of Robust and rigorous identification of tissue-specific genes by statistically extending tau score
Creators: name: Lüleci, Hatice Büşra
name: Yılmaz, Alper
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 7. Correlation of gene expressions for genes which have tau score greater than 0.85.
Chlorophanus pollinosus
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Chlorophanus
Chlorophanus pollinosus

description: Chlorophanus pollinosus (Fabricius, 1792)
[= Curculio gibbosus Paykull, 1792 not Gmelin, 1789] (Burakowski, Mroczowski & Stefañska 1993).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 13, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Headspace solid phase microextraction combined with GC–MS for the analysis of volatile compounds of Calystegia silvatica (Kit.) Griseb. from Algeria
Creators: name: Boudjada, Amina
name: Mokhtar, Amirat
name: Bendif, Hamdi
name: Khellaf, Rebbas
name: Flamini, Guido
name: Garzoli, STefania
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Biochemistry
subject: Space Science
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: This study represents the first investigation of the volatile composition of Calystegia silvatica (Convolvulaceae) collected in Algeria, using headspace solid-phase microextraction and gas chromatography/mass spectrometry (HS-SPME-GC/MS). This technique allowed the identification of 44 compounds, constituting 96.9% of the total components. These compounds belong to various chemical classes, including sesquiterpene hydrocarbons (22) and non-terpene derivatives (13), as major groups. Remarkably, the volatile profile of C. silvatica was dominated by sesquiterpenoids (87.1%), particularly sesquiterpene hydrocarbons (83%). Analysis of the aroma profile revealed that the main metabolites were β-caryophyllene, α-gurjunene and germacrene D. Oxygenated sesquiterpenes were present in a smaller proportion (4.1%), mostly represented by palustrol. Other chemical classes, such as monoterpene hydrocarbons, oxygenated monoterpenes, non-terpene derivatives and apocarotenes, have been found in limited quantities. It is worth noting that the data presented in this study have not previously been reported for Calystegia species.
Factors that Contribute to the Success of a Software Organisation's DevOps Environment: A Systematic Review
Creators: name: Gwangwadza, Ashley
name: Hanslo, Ridewaan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: Computers and Society (cs.CY)
subject: Emerging Technologies (cs.ET)
subject: Performance (cs.PF)
subject: FOS: Computer and information sciences
subject: D.2.6; D.2.7; D.2.3

description: This research assesses the aspects of software organizations' DevOps environments and identifies the factors contributing to these environments' success. DevOps is a recent concept, and many organizations are moving from old-style software development methods to agile approaches such as DevOps. However, there is no comprehensive information on what factors impact the success of the DevOps environment once organizations adopt it. This research focused on addressing this gap through a systematic literature review. The systematic review consisted of 33 articles from five selected search systems and databases from 2015 to 2021. Based on the included articles, 15 factors were identified and grouped into four categories: Collaborative Culture, Organizational Aspects, Tooling and Technology, and Continuous Practices. In addition, this research proposes a DevOps environment success factors model to potentially contribute to DevOps research and practice. Recommendations are made for additional research on the effectiveness of the proposed model and its success factors.
description: 15 pages, 3 figures, 1 table
Revealing the Microscopic Mechanism of Elementary Vortex Pinning in Superconductors
Creators: name: Chen, C.
name: Liu, Y.
name: Chen, Y.
name: Hu, Y. N.
name: Zhang, T. Z.
name: Li, D.
name: Wang, X.
name: Wang, C. X.
name: Lu, Z. Y. W.
name: Zhang, Y. H.
name: Zhang, Q. L.
name: Dong, X. L.
name: Wang, R.
name: Feng, D. L.
name: Zhang, T.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Vortex pinning is a crucial factor that determines the critical current of practical superconductors and enables their diverse applications. However, the underlying mechanism of vortex pinning has long been elusive, lacking a clear microscopic explanation. Here using high-resolution scanning tunneling microscopy, we studied single vortex pinning induced by point defect in layered FeSe-based superconductors. We found the defect-vortex interaction drives low-energy vortex bound states away from EF, creating a "mini" gap that effectively lowers the system energy and enhances pinning. By measuring the local density-of-states, we directly obtained the elementary pinning energy and estimated the pinning force via the spatial gradient of pinning energy. The results are consistent with bulk critical current measurement. Furthermore, we show that a general microscopic quantum model incorporating defect-vortex interaction can naturally capture our observation. It suggests that the local pairing near pinned vortex core is actually enhanced compared to unpinned vortex, which is beyond the traditional understanding that non-superconducting regions pin vortices. Our study thus unveils a general microscopic mechanism of vortex pinning in superconductors, and provides insights for enhancing the critical current of practical superconductors.
description: 32 pages, 18 figures, Supplementary Materials included. Comments are welcome
Cimberis Gozis 1881
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Nemonychidae
Cimberis

description: Cimberis Gozis, 1881
[= Rhinomacer Fabricius, 1787 not Fabricius, 1781] (Abbazzi et al. 1995).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 13, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Global Point Cloud Registration Network for Large Transformations
Creators: name: Cuevas-Velasquez, Hanz
name: Galán-Cuenca, Alejandro
name: Gallego, Antonio Javier
name: Saval-Calvo, Marcelo
name: Fisher, Robert B.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Three-dimensional data registration is an established yet challenging problem that is key in many different applications, such as mapping the environment for autonomous vehicles, and modeling objects and people for avatar creation, among many others. Registration refers to the process of mapping multiple data into the same coordinate system by means of matching correspondences and transformation estimation. Novel proposals exploit the benefits of deep learning architectures for this purpose, as they learn the best features for the data, providing better matches and hence results. However, the state of the art is usually focused on cases of relatively small transformations, although in certain applications and in a real and practical environment, large transformations are very common. In this paper, we present ReLaTo (Registration for Large Transformations), an architecture that faces the cases where large transformations happen while maintaining good performance for local transformations. This proposal uses a novel Softmax pooling layer to find correspondences in a bilateral consensus manner between two point sets, sampling the most confident matches. These matches are used to estimate a coarse and global registration using weighted Singular Value Decomposition (SVD). A target-guided denoising step is then applied to both the obtained matches and latent features, estimating the final fine registration considering the local geometry. All these steps are carried out following an end-to-end approach, which has been shown to improve 10 state-of-the-art registration methods in two datasets commonly used for this task (ModelNet40 and KITTI), especially in the case of large transformations.
Operational Quantum Mereology and Minimal Scrambling
Creators: name: Zanardi, Paolo
name: Dallas, Emanuel
name: Andreadakis, Faidon
name: Lloyd, Seth
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this paper we will attempt to answer the following question: what are the natural quantum subsystems which emerge out of a system's dynamical laws? To answer this question we first define generalized tensor product structures (gTPS) in terms of observables, as dual pairs of an operator subalgebra $\cal A$ and its commutant. Second, we propose an operational criterion of minimal information scrambling at short time scales to dynamically select gTPS. In this way the emergent subsystems are those which maintain the longest informational identity. This strategy is made quantitative by defining a Gaussian scrambling rate in terms of the short-time expansion of an algebraic version of the Out of Time Order Correlation (OTOC) function i.e., the $\cal A$-OTOC. The Gaussian scrambling rate is computed analytically for physically important cases of general division into subsystems, and is shown to have an intuitive and compelling physical interpretation in terms of minimizing the interaction strength between subsystems.
description: 10+2 pages, 3 figures. Version to appear in Quantum
Velocity Distribution of Dark Matter Spike around Schwarzschild Black Holes and Effects on Gravitational Waves from EMRIs
Creators: name: Zhang, Zi-Chang
name: Tang, Yong
Publisher: name: arXiv
Year: 2024
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Dark matter (DM) constitutes the predominant portion of matter in our universe. Despite compelling evidence, the precise characteristics of DM remain elusive. Among the leading DM candidates are weakly-interacting massive particles, which may clump into steep concentrations around the central black holes of galaxies. However, DM profiles of the resulting dense spikes remain uncertain. Here we employ the relativistic dynamics in Schwarzschild geometry and first evaluate the velocity distributions of DM within such spikes. Through variations in black hole masses and dark halo parameters, we identify universal features in DM profiles and fit them with Gaussian distributions. Additionally, we illustrate with the impact of dynamical friction on gravitational waves generated by extreme-mass-ratio inspirals (EMRIs) within DM spikes, taking into account the velocity distribution of DM in the relativistic regime. Our findings demonstrate the phase shifts in the time-domain waveform, potentially providing useful insights for probing DM in galactic centers by gravitational-wave experiments.
description: 1+20 pages, 5 figures; accepted by Phys. Rev. D
Integral Micromorphic Model for Band Gap in 1D Continuum
Creators: name: Jirásek, Milan
name: Horák, Martin
name: Šmejkal, Michal
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: The design of band-gap metamaterials, i.e., metamaterials with the capability to inhibit wave propagation of a specific frequency range, has numerous potential engineering applications, such as acoustic filters and vibration isolation control. In order to describe the behavior of such materials, a novel integral micromorphic elastic continuum is introduced, and its ability to describe band gaps is studied in the one-dimensional setting. The nonlocal formulation is based on a modification of two terms in the expression for potential energy density. The corresponding dispersion equation is derived and converted to a dimensionless format, so that the effect of individual parameters can be described in the most efficient way. The results indicate that both suggested nonlocal modifications play an important role. The original local micromorphic model reproduces a band gap only in the special, somewhat artificial case, when the stiffness coefficient associated with the gradient of the micromorphic variable vanishes. On the other hand, the nonlocal formulation can provide band gaps even for nonzero values of this coefficient, provided that the penalty coefficient that enforces coupling between the micromorphic variable and nonlocal strain is sufficiently high and the micromorphic stiffness is sufficiently low.
Latent Spectral Regularization for Continual Learning
Creators: name: Frascaroli, Emanuele
name: Benaglia, Riccardo
name: Boschini, Matteo
name: Moschella, Luca
name: Fiorini, Cosimo
name: Rodolà, Emanuele
name: Calderara, Simone
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: While biological intelligence grows organically as new knowledge is gathered throughout life, Artificial Neural Networks forget catastrophically whenever they face a changing training data distribution. Rehearsal-based Continual Learning (CL) approaches have been established as a versatile and reliable solution to overcome this limitation; however, sudden input disruptions and memory constraints are known to alter the consistency of their predictions. We study this phenomenon by investigating the geometric characteristics of the learner's latent space and find that replayed data points of different classes increasingly mix up, interfering with classification. Hence, we propose a geometric regularizer that enforces weak requirements on the Laplacian spectrum of the latent space, promoting a partitioning behavior. Our proposal, called Continual Spectral Regularizer for Incremental Learning (CaSpeR-IL), can be easily combined with any rehearsal-based CL approach and improves the performance of SOTA methods on standard benchmarks.
description: 14 pages, 4 figures, , to appear in Pattern Recognition Letters, Volume 184, August 2024, Pages 119-125
Additional file 1 of Nutritional status, health risk behaviors, and eating habits are correlated with physical activity and exercise of brazilian older hypertensive adults: a cross-sectional study
Creators: name: da Silva, Leonardo Santos Lopes
name: de Freitas Batalhão, Daniel
name: dos Santos Carvalho, Anderson
name: Bohn, Lucimere
name: Ramos, Nilo César
name: Abdalla, Pedro Pugliesi
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Additional file 1: Supplementary Table 1. Percentage values (%) of exercise types practiced by hypertensive older adults’ from VIGITEL project (n=5.535).
Using contextual conditional preferences for recommendation tasks: a case study in the movie domain
Creators: name: Karpus, Aleksandra
name: Di Noia, Tommaso
name: Tomeo, Paolo
name: Goczyła, Krzysztof
Publisher: name: Silesian University of Technology Press
Year: 2016
Subjects: recommendation systems; context awareness; conditional preferences

description: Recommendation engines aim to propose users items they are interested in by looking at the user interaction with a system. However, individual interests may be drastically influenced by the context in which decisions are taken. We present an attempt to model user interests via a set of contextual conditional preferences. We show that usage of proposed preferences gives reasonable values of the accuracy and the precision even when the dataset is quite small.
description: Studia Informatica, Vol 37, No 1 (2016)
Efficient rational approximation of optical response functions with the AAA algorithm
Creators: name: Betz, Fridtjof
name: Hammerschmidt, Martin
name: Zschiedrich, Lin
name: Burger, Sven
name: Binkowski, Felix
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: We introduce a theoretical framework for the rational approximation of optical response functions in resonant photonic systems. The framework is based on the AAA algorithm and further allows to solve the underlying nonlinear eigenproblems and to efficiently model sensitivities. An adaptive sampling strategy exploits the predominance of resonances in the physical response. We investigate a chiral metasurface and show that the chiroptical response on parameter variations can be accurately modeled in the vicinity of the relevant resonance frequencies.
Techniques for Solving Static Klein-Gordon Equation with Self-Interaction $λϕ^4$ and Arbitrary Spherical Source Terms
Creators: name: Denton, Peter B.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computational Physics (physics.comp-ph)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Classical Physics (physics.class-ph)
subject: FOS: Physical sciences

description: The Klein-Gordon equation for a scalar field sourced by a static spherically symmetric background is an interesting second-order differential equation with applications in particle physics, astrophysics, and elsewhere. Here we present static solutions for generic source density profiles in the case where the scalar field has no interactions or a mass term. For a $λϕ^4$ self-interaction term, we develop the techniques that are necessary numerical computation. We also provide code to perform the numerical calculations that can be adapted for arbitrary density profiles.
description: 7 pages, 2 figures, comments welcome! v2: discussion and references expanded, matches published version
Supplemental_material_for_DNA_Switch_Toehold_Mediated_DNA_Isothermal_Amplification_for_Dengue_Serotyping_by_Chan,_et_al – Supplemental material for DNA Switch: Toehold-Mediated DNA Isothermal Amplification for Dengue Serotyping
Creators: name: Chan, Soo Khim
name: Kuzuya, Akinori
name: Choong, Yee Siew
name: Theam Soon Lim
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental material, Supplemental_material_for_DNA_Switch_Toehold_Mediated_DNA_Isothermal_Amplification_for_Dengue_Serotyping_by_Chan,_et_al for DNA Switch: Toehold-Mediated DNA Isothermal Amplification for Dengue Serotyping by Soo Khim Chan, Akinori Kuzuya, Yee Siew Choong and Theam Soon Lim in SLAS Discovery
Disease progression model anchored around clinical diagnosis in longitudinal cohorts: example of Alzheimer's disease and related dementia
Creators: name: Lespinasse, Jérémie
name: Dufouil, Carole
name: Proust-Lima, Cécile
name: group, the MEMENTO study
Publisher: name: arXiv
Year: 2023
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences

description: Background. Alzheimer's disease and related dementia (ADRD) are characterized by multiple and progressive anatomo clinical changes. Yet, modeling changes over disease course from cohort data is challenging as the usual timescales are inappropriate and time-to-clinical diagnosis is available on small subsamples of participants with short follow-up durations prior to diagnosis. One solution to circumvent this challenge is to define the disease time as a latent variable.
 Methods: We developed a multivariate mixed model approach that realigns individual trajectories into the latent disease time to describe disease progression. Our methodology exploits the clinical diagnosis information as a partially observed and approximate reference to guide the estimation of the latent disease time. The model estimation was carried out in the Bayesian Framework using Stan. We applied the methodology to 2186 participants of the MEMENTO study with 5-year follow-up. Repeated measures of 12 ADRD markers stemmed from cerebrospinal fluid (CSF), brain imaging and cognitive tests were analyzed.
 Result: The estimated latent disease time spanned over twenty years before the clinical diagnosis. Considering the profile of a woman aged 70 with a high level of education and APOE4 carrier (the main genetic risk factor for ADRD), CSF markers of tau proteins accumulation preceded markers of brain atrophy by 5 years and cognitive decline by 10 years. We observed that individual characteristics could substantially modify the sequence and timing of these changes.
 Conclusion: Our disease progression model does not only realign trajectories into the most homogeneous way. It accounts for the inherent residual inter-individual variability in dementia progression to describe the long-term changes according to the years preceding clinical diagnosis, and to provide clinically meaningful information on the sequence of events.
Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank approximation
Creators: name: Koellermeier, Julian
name: Krah, Philipp
name: Kusch, Jonas
Publisher: name: arXiv
Year: 2023
Subjects: subject: Numerical Analysis (math.NA)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Geophysical flow simulations using hyperbolic shallow water moment equations require an efficient discretization of a potentially large system of PDEs, the so-called moment system. This calls for tailored model order reduction techniques that allow for efficient and accurate simulations while guaranteeing physical properties like mass conservation. In this paper, we develop the first model reduction for the hyperbolic shallow water moment equations and achieve mass conservation. This is accomplished using a macro-micro decomposition of the model into a macroscopic (conservative) part and a microscopic (non-conservative) part with subsequent model reduction using either POD-Galerkin or dynamical low-rank approximation only on the microscopic (non-conservative) part. Numerical experiments showcase the performance of the new model reduction methods including high accuracy and fast computation times together with guaranteed conservation and consistency properties.
description: Code available under https://github.com/JonasKu/Publication-Split-conservative-model-order-reduction-for-hyperbolic-shallow-water-moment-equations
Supplemental Material1 - Supplemental material for Systematic review of the impact of arts for health activities on health, wellbeing and quality of life of older people living in care homes
Creators: name: Curtis, Amy
name: Gibson, Lucy
name: O’Brien, Mary
name: Roe, Brenda
name: Camic, Paul M.
name: Zeilig, Hannah
name: Crutch, Sebastian J.
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111099 Nursing not elsewhere classified
subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine
subject: 160512 Social Policy
subject: FOS: Political science

description: Supplemental material, Supplemental Material1 for Systematic review of the impact of arts for health activities on health, wellbeing and quality of life of older people living in care homes by Amy Curtis, Lucy Gibson, Mary O’Brien and Brenda Roe in Dementia
A uniqueness theory on determining the nonlinear energy potential in phase-field system
Creators: name: Ni, Tianhao
name: Lai, Jun
Publisher: name: arXiv
Year: 2024
Subjects: subject: Analysis of PDEs (math.AP)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: The phase-field system is a nonlinear model that has significant applications in material sciences. In this paper, we are concerned with the uniqueness of determining the nonlinear energy potential in a phase-field system consisting of Cahn-Hilliard and Allen-Cahn equations. This system finds widespread applications in the development of alloys engineered to withstand extreme temperatures and pressures. The goal is to reconstruct the nonlinear energy potential through the measurements of concentration fields. We establish the local well-posedness of the phase-field system based on the implicit function theorem in Banach spaces. Both of the uniqueness results for recovering time-independent and time-dependent energy potential functions are provided through the higher order linearization technique.
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive Learning
Creators: name: Rabbi, Jakaria
name: Kiechle, Johannes
name: Beaulieu, Christian
name: Ray, Nilanjan
name: Cobzas, Dana
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Computer and information sciences
subject: FOS: Biological sciences

description: This paper presents a comprehensive study focused on disentangling hippocampal shape variations from diffusion tensor imaging (DTI) datasets within the context of neurological disorders. Leveraging a Mesh Variational Autoencoder (VAE) enhanced with Supervised Contrastive Learning, our approach aims to improve interpretability by disentangling two distinct latent variables corresponding to age and the presence of diseases. In our ablation study, we investigate a range of VAE architectures and contrastive loss functions, showcasing the enhanced disentanglement capabilities of our approach. This evaluation uses synthetic 3D torus mesh data and real 3D hippocampal mesh datasets derived from the DTI hippocampal dataset. Our supervised disentanglement model outperforms several state-of-the-art (SOTA) methods like attribute and guided VAEs in terms of disentanglement scores. Our model distinguishes between age groups and disease status in patients with Multiple Sclerosis (MS) using the hippocampus data. Our Mesh VAE with Supervised Contrastive Learning shows the volume changes of the hippocampus of MS populations at different ages, and the result is consistent with the current neuroimaging literature. This research provides valuable insights into the relationship between neurological disorder and hippocampal shape changes in different age groups of MS populations using a Mesh VAE with Supervised Contrastive loss. Our code is available at https://github.com/Jakaria08/Explaining_Shape_Variability
description: Length: 26 pages and Accepted for publication in the Journal of Machine Learning for Biomedical Imaging (MELBA) https://melba-journal.org/2024:030
Cleopomiarus Pierce 1919
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Cleopomiarus

description: Cleopomiarus Pierce, 1919
[= Miaromimus F. Solari, 1947] (Alonso­Zarazaga & Lyal 1999).
description: Published as part of Colonnelli, Enzo, 2003, A revised checklist of Italian Curculionoidea (Coleoptera), pp. 1-142 in Zootaxa 337 (1) on page 13, DOI: 10.11646/zootaxa.337.1.1, http://zenodo.org/record/5019737
Supplemental material for On the comparison of risk of death according to different stages of breast cancer via the long-term exponentiated Weibull hazard model
Creators: name: Hayala Cristina Cavenague De Souza
name: Gleici Da Silva Castro Perdoná
name: Louzada, Francisco
name: Peria, Fernanda Maris
name: Dattner, Itai
name: Huppert, Amit
Publisher: name: SAGE Journals
Year: 2016
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111099 Nursing not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material for On the comparison of risk of death according to different stages of breast cancer via the long-term exponentiated Weibull hazard model by Hayala Cristina Cavenague de Souza, Gleici da Silva Castro Perdoná, Francisco Louzada and Fernanda Maris Peria in Statistical Methods in Medical Research