cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Diffusion Models for Audio Restoration
Creators: name: Lemercier, Jean-Marie
name: Richter, Julius
name: Welker, Simon
name: Moliner, Eloi
name: Välimäki, Vesa
name: Gerkmann, Timo
Publisher: name: arXiv
Year: 2024
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: Machine Learning (cs.LG)
subject: Sound (cs.SD)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: With the development of audio playback devices and fast data transmission, the demand for high sound quality is rising for both entertainment and communications. In this quest for better sound quality, challenges emerge from distortions and interferences originating at the recording side or caused by an imperfect transmission pipeline. To address this problem, audio restoration methods aim to recover clean sound signals from the corrupted input data. We present here audio restoration algorithms based on diffusion models, with a focus on speech enhancement and music restoration tasks. Traditional approaches, often grounded in handcrafted rules and statistical heuristics, have shaped our understanding of audio signals. In the past decades, there has been a notable shift towards data-driven methods that exploit the modeling capabilities of DNNs. Deep generative models, and among them diffusion models, have emerged as powerful techniques for learning complex data distributions. However, relying solely on DNN-based learning approaches carries the risk of reducing interpretability, particularly when employing end-to-end models. Nonetheless, data-driven approaches allow more flexibility in comparison to statistical model-based frameworks, whose performance depends on distributional and statistical assumptions that can be difficult to guarantee. Here, we aim to show that diffusion models can combine the best of both worlds and offer the opportunity to design audio restoration algorithms with a good degree of interpretability and a remarkable performance in terms of sound quality. We explain the diffusion formalism and its application to the conditional generation of clean audio signals. We believe that diffusion models open an exciting field of research with the potential to spawn new audio restoration algorithms that are natural-sounding and remain robust in difficult acoustic situations.
description: Currently in revision for IEEE Signal Processing Magazine Special Issue "Model-based and Data-Driven Audio Signal Processing"
A Novel Content Caching and Delivery Scheme for Millimeter Wave Device-to-Device Communications
Creators: name: Nuradha, Theshani
name: Samarasinghe, Tharaka
name: Hemachandra, Kasun T.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Signal Processing (eess.SP)
subject: Information Theory (cs.IT)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: A novel content caching strategy is proposed for a cache enabled device-to-device (D2D) network where the user devices are allowed to communicate using millimeter wave (mmWave) D2D links (> 6 GHz) as well as conventional sub 6 GHz cellular links. The proposed content placement strategy maximizes the successful content delivery probability of a line of sight D2D link. Furthermore, a heuristic algorithm is proposed for efficient content delivery. The overall scheme improves the successful traffic offloading gain of the network compared to conventional cache-hit maximizing content placement and delivery strategies. Significant energy efficiency improvements can also be achieved in ultra-dense networks.
[Queridos papá, mamá ,Ofelia y Carlitos: Les mando esta rosa para el año de la liberación]
Creators: name: Laura, Ojeda
name: Ojeda, Laura
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2025

description: Destinataire : Ojeda, Hugo Eduardo / Burgos, Rosa / Ojeda, Ofelia / Ojeda, Carlos
description: Carte de vœux de Nouvelle Année, faite main, envoyée à sa famille, depuis la Prison de Villa Devoto, illustrée avec une rose et du fil barbelé.
description: Tarjeta de felicitación de Año Nuevo, hecha a mano, enviada a su familia, desde la Prisión de Villa Devoto, ilustrada con una rosa y alambre de púas.
description: Notes : Carte illustrée écrite au stylo bleu. Dessin coloré au crayons de couleur. Papier jauni.
description: Source: FR-LO-B-040
description: Source: Localisation du fonds : Argentine / Rosario
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Creators: name: Kuznietsov, Anton
name: Gyevnar, Balint
name: Wang, Cheng
name: Peters, Steven
name: Albrecht, Stefano V.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Human-Computer Interaction (cs.HC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Artificial Intelligence (AI) shows promising applications for the perception and planning tasks in autonomous driving (AD) due to its superior performance compared to conventional methods. However, inscrutable AI systems exacerbate the existing challenge of safety assurance of AD. One way to mitigate this challenge is to utilize explainable AI (XAI) techniques. To this end, we present the first comprehensive systematic literature review of explainable methods for safe and trustworthy AD. We begin by analyzing the requirements for AI in the context of AD, focusing on three key aspects: data, model, and agency. We find that XAI is fundamental to meeting these requirements. Based on this, we explain the sources of explanations in AI and describe a taxonomy of XAI. We then identify five key contributions of XAI for safe and trustworthy AI in AD, which are interpretable design, interpretable surrogate models, interpretable monitoring, auxiliary explanations, and interpretable validation. Finally, we propose a modular framework called SafeX to integrate these contributions, enabling explanation delivery to users while simultaneously ensuring the safety of AI models.
The principal components of electoral regimes -- Separating autocracies from pseudo-democracies
Creators: name: Wiesner, Karoline
name: Bien, Samuel
name: Wilson, Matthew C.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: A critical issue for society today is the emergence and decline of democracy worldwide. It is unclear, however, how democratic features, such as elections and civil liberties, influence this change. Democracy indices, which are the standard tool to study this question, are based on the a priori assumption that improvement in any individual feature strengthens democracy overall. We show that this assumption does not always hold. We use the V-Dem dataset for a quantitative study of electoral regimes worldwide during the 20th century. We find a so-far overlooked trade-off between election quality and civil liberties. In particular, we identify a threshold in the democratisation process at which the correlation between election quality and civil liberties flips from negative to positive. Below this threshold we can thus clearly separate two kinds of non-democratic regimes: autocracies that govern through tightly controlled elections and regimes in which citizens are free but under less certainty -- a distinction that existing democracy indices cannot make. We discuss the stabilising role of election quality uncovered here in the context of the recently observed decline in democracy score of long-standing democracies, so-called `democratic backsliding' or `democratic recession'.
Brachycerus muricatus N C S Si Sa
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Brachyceridae
Brachycerus
Brachycerus muricatus

description: Brachycerus muricatus (Fabricius, 1792)
[= Curculio algirus Olivier, 1787 not Linné, 1758] (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
Supplemental Material, On_line_supplement_resubmission_CRD - Variation in treatment strategies for the eradication of Pseudomonas aeruginosa in primary ciliary dyskinesia across European centers
Creators: name: Crowley, Suzanne
name: Holgersen, Mathias Geldermann
name: Nielsen, Kim Gjerum
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 111702 Aged Health Care
subject: FOS: Health sciences
subject: 110203 Respiratory Diseases
subject: FOS: Clinical medicine

description: Supplemental Material, On_line_supplement_resubmission_CRD for Variation in treatment strategies for the eradication of Pseudomonas aeruginosa in primary ciliary dyskinesia across European centers by Suzanne Crowley, Mathias Geldermann Holgersen, and Kim Gjerum Nielsen in Chronic Respiratory Disease
Covariant projective representations of Hilbert-Lie groups
Creators: name: Neeb, Karl-Hermann
name: Russo, Francesco G.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mathematical Physics (math-ph)
subject: Differential Geometry (math.DG)
subject: Functional Analysis (math.FA)
subject: Representation Theory (math.RT)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: Hilbert--Lie groups are Lie groups whose Lie algebra is a real Hilbert space whose scalar product is invariant under the adjoint action. These infinite-dimensional Lie groups are the closest relatives to compact Lie groups. Here we study unitary representations of these groups from various perspectives. First, we address norm-continuous, also called bounded, representations: they are well-known for simple groups, but the general picture is more complicated. Our first main result is a characterization of the discrete decomposability of all bounded representations in terms of boundedness of the set of coroots. We also show that bounded representations of type II and III exist if the set of coroots is unbounded. Second, we use covariance with respect to a one-parameter group of automorphisms to implement some regularity. Here we develop some perturbation theory based on half Lie groups that reduces matters to the case where a ``maximal torus'' is fixed, so that compatible weight decompositions can be studied. Third, we extend the context to projective representations which are covariant for a one-parameter group of automorphisms. Here important families of representations arise from ``bounded extremal weights'', and for these the corresponding central extensions can be determined explicitly, together with all one-parameter groups for which a covariant extension exists.
description: 52 pages
Online_Appendix – Supplemental material for Live to Fight Another Day? Organizational Maintenance and Mortality Anxiety of Civil Society Organizations
Creators: name: Heylen, Frederik
name: Fraussen, Bert
name: Beyers, Jan
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: 160509 Public Administration
subject: FOS: Political science

description: Supplemental material, Online_Appendix for Live to Fight Another Day? Organizational Maintenance and Mortality Anxiety of Civil Society Organizations by Frederik Heylen, Bert Fraussen and Jan Beyers in Nonprofit and Voluntary Sector Quarterly
An Energy Efficient D2D Model with Guaranteed Quality of Service for Cloud Radio Access Networks
Creators: name: Ranawaka, Isuru Janith
name: Hemachandra, Kasun T.
name: Samarasinghe, Tharaka
name: Nuradha, Theshani
Publisher: name: arXiv
Year: 2019
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper proposes a spectrum selection scheme and a transmit power minimization scheme for a device-to-device (D2D) network cross-laid with a cloud radio access network (CRAN). The D2D communications are allowed as an overlay to the CRAN as well as in the unlicensed industrial, scientific and medical radio (ISM) band. A link distance based scheme is proposed and closed-form approximations are derived for the link distance thresholds to select the operating band of the D2D users. Furthermore, analytical expressions are derived to calculate the minimum required transmit power to achieve a guaranteed level of quality of service in each operating band. The results demonstrate that the proposed scheme achieves nearly 50% power saving compared to a monolithic (purely overlay or purely ISM band) D2D network.
Classification with Costly Features in Hierarchical Deep Sets
Creators: name: Janisch, Jaromír
name: Pevný, Tomáš
name: Lisý, Viliam
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Classification with Costly Features (CwCF) is a classification problem that includes the cost of features in the optimization criteria. Individually for each sample, its features are sequentially acquired to maximize accuracy while minimizing the acquired features' cost. However, existing approaches can only process data that can be expressed as vectors of fixed length. In real life, the data often possesses rich and complex structure, which can be more precisely described with formats such as XML or JSON. The data is hierarchical and often contains nested lists of objects. In this work, we extend an existing deep reinforcement learning-based algorithm with hierarchical deep sets and hierarchical softmax, so that it can directly process this data. The extended method has greater control over which features it can acquire and, in experiments with seven datasets, we show that this leads to superior performance. To showcase the real usage of the new method, we apply it to a real-life problem of classifying malicious web domains, using an online service.
description: formerly Hierarchical Multiple-Instance Data Classification with Costly Features; RL4RealLife @ ICML2021; code available at https://github.com/jaromiru/rcwcf
Light controls motility and phase separation of photosynthetic microbes
Creators: name: Fragkopoulos, Alexandros A.
name: Vachier, Jérémy
name: Frey, Johannes
name: Menn, Flora-Maud Le
name: Wilczek, Michael
name: Mazza, Marco G.
name: Bäumchen, Oliver
Publisher: name: arXiv
Year: 2020
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: Large ensembles of interacting, out-of-equilibrium agents are a paradigm of active matter. Their constituents' intrinsic activity may entail the spontaneous separation into localized phases of high and low densities. Motile microbes, equipped with ATP-fueled engines, are prime examples of such phase-separating active matter, which is fundamental in myriad biological processes. The fact that spontaneous spatial aggregation is not widely recognized as a general feature of microbial communities challenges the generalisation of phase separation beyond artificial active systems. Here, we report on the phase separation of populations of Chlamydomonas reinhardtii that can be controlled by light in a fully reversible manner. We trace this phenomenon back to the light- and density-dependent motility, thus bridging the gap from light perception on the single-cell level to collective spatial self-organization into regions of high and low density. Its spectral sensitivity suggests that microbial motility and phase separation are regulated by the activity of the photosynthetic machinery. Characteristic fingerprints of the stability and dynamics of this active system paint a picture that cannot be reconciled with the current physical understanding of phase separation in artificial active matter, whereby collective behavior can emerge from inherent motility modulation in response to changing stimuli. Our results therefore point towards the existence of a broader class of self-organization phenomena in living systems.
description: 9 pages, 3 figures
Supplemental Material, jspr-17-153-File004 - You haven’t been on my mind lately: Partner responsiveness mediates the link between attachment insecurity and sexual fantasies
Creators: name: Impett, Emily A.
name: Muise, Amy
name: Mizrahi, Moran
name: Kanat-Maymon, Yaniv
name: Gurit E. Birnbaum
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental Material, jspr-17-153-File004 for You haven’t been on my mind lately: Partner responsiveness mediates the link between attachment insecurity and sexual fantasies by Moran Mizrahi, Yaniv Kanat-Maymon, and Gurit E. Birnbaum in Journal of Social and Personal Relationships
Partitioned Least Squares
Creators: name: Esposito, Roberto
name: Cerrato, Mattia
name: Locatelli, Marco
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: In this paper we propose a variant of the linear least squares model allowing practitioners to partition the input features into groups of variables that they require to contribute similarly to the final result. The output allows practitioners to assess the importance of each group and of each variable in the group. We formally show that the new formulation is not convex and provide two alternative methods to deal with the problem: one non-exact method based on an alternating least squares approach; and one exact method based on a reformulation of the problem using an exponential number of sub-problems whose minimum is guaranteed to be the optimal solution. We formally show the correctness of the exact method and also compare the two solutions showing that the exact solution provides better results in a fraction of the time required by the alternating least squares solution (assuming that the number of partitions is small). For the sake of completeness, we also provide an alternative branch and bound algorithm that can be used in place of the exact method when the number of partitions is too large, and a proof of NP-completeness of the optimization problem introduced in this paper.
description: To appear in Springer Machine Learning Journal (https://link.springer.com/journal/10994)
Revisiting the Quasi Biennial Oscillation as Seen in ERA5.Part II: Evaluation of Waves and Wave Forcing
Creators: name: Pahlavan, Hamid A.
name: Wallace, John M.
name: Fu, Qiang
name: Kiladis, George N.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Physical sciences

description: This paper describes stratospheric waves in ERA5 reanalysis and evaluates the contributions of different types of waves to the driving of the quasi-biennial oscillation (QBO). Because of its higher spatial resolution compared to its predecessors, ERA5 is capable of resolving a broader spectrum of waves. It is shown that the resolved waves contribute to both eastward and westward accelerations near the equator, mainly by the way of the vertical flux of zonal momentum. The eastward accelerations by the resolved waves are mainly due to Kelvin waves and small-scale gravity (SSG) waves with zonal wavelengths smaller than 2000 km, whereas the westward accelerations are forced mainly by SSG waves, with smaller contributions from inertio-gravity and mixed-Rossby-gravity waves. Extratropical Rossby waves propagate into the tropical region and impart a westward acceleration to the zonal flow. They appear to be responsible for at least some of the irregularities in the QBO cycle.
Systematic partitioning of proteins for quantum-chemical fragmentation methods using graph algorithms
Creators: name: Wolter, Mario
name: von Looz, Moritz
name: Meyerhenke, Henning
name: Jacob, Christoph R.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: Quantum-chemical fragmentation methods offer an efficient approach for the treatment of large proteins, in particular if local target quantities such as protein--ligand interaction energies, enzymatic reaction energies, or spectroscopic properties of embedded chromophores are sought. However, the accuracy that is achievable for such local target quantities intricately depends on how the protein is partitioned into smaller fragments. While the commonly employed naïve approach of using fragments with a fixed size is widely used, it can result in large and unpredictable errors when varying the fragment size. Here, we present a systematic partitioning scheme that aims at minimizing the fragmentation error of a local target quantity for a given maximum fragment size.
 To this end, we construct a weighted graph representation of the protein, in which the amino acids constitute the nodes. These nodes are connected by edges weighted with an estimate for the fragmentation error that is expected when cutting this edge. This allows us to employ graph partitioning algorithms provided by computer science to determine near-optimal partitions of the protein. We apply this scheme to a test set of six proteins representing various prototypical applications of quantum-chemical fragmentation methods using a simplified molecular fractionation with conjugate caps (MFCC) approach with hydrogen caps. We show that our graph-based scheme consistently improves upon the naïve approach.
Brachycerus schatzmayri Zumpt 1937
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Brachyceridae
Brachycerus
Brachycerus schatzmayri

description: Brachycerus schatzmayri Zumpt, 1937
is a good species, not a subspecies of B. undatus (Fabricius, 1798) (Osella & Riti 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
Onsager Relations between Spin Currents and Charge Currents
Creators: name: Saslow, Wayne M.
name: Sun, Chen
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We consider the macroscopic dynamics of systems with charge and spin currents, using the methods of Onsager's irreversible thermodynamics. Applied to systems with spin-orbit interaction (SOI), we derive Onsager relations showing that, if electrical disequilibrium leads to spin currents, then magnetic disequilibrium leads to charge currents. We consider three examples of such SOI. Two of these predicted charge currents have not previously appeared. By measuring these charge currents one can infer the corresponding spin currents.
description: 5 pages, 1 figure
Rounding error using low precision approximate random variables
Creators: name: Sheridan-Methven, Oliver
name: Giles, Michael
Publisher: name: arXiv
Year: 2020
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65G50, 65C10, 41A10, 65C05, 65Y20, 60H35, 65B10, 65L70, 34M30, 97N20, 65C30

description: For numerical approximations to stochastic differential equations using the Euler-Maruyama scheme, we propose incorporating approximate random variables computed using low precisions, such as single and half precision. We propose and justify a model for the rounding error incurred, and produce an average case error bound for two and four way differences, appropriate for regular and nested multilevel Monte Carlo estimations. By considering the variance structure of multilevel Monte Carlo correction terms in various precisions with and without a Kahan compensated summation, we compute the potential speed ups offered from the various precisions. We find single precision offers the potential for approximate speed improvements by a factor of 7 across a wide span of discretisation levels. Half precision offers comparable improvements for several levels of coarse simulations, and even offers improvements by a factor of 10-12 for the very coarsest few levels.
description: 15 pages, 8 figures
Brachyderes (Brachylophus) Fischer de Waldheim 1829
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Brachyderes

description: Brachyderes subgen. Brachylophus [Fischer von Waldheim], 1829
[= B. subgen. Sulciurus Flach, 1907] (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
Individual dynamic prediction of clinical endpoint from large dimensional longitudinal biomarker history: a landmark approach
Creators: name: Devaux, Anthony
name: Genuer, Robin
name: Pérès, Karine
name: Proust-Lima, Cécile
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: The individual data collected throughout patient follow-up constitute crucial information for assessing the risk of a clinical event, and eventually for adapting a therapeutic strategy. Joint models and landmark models have been proposed to compute individual dynamic predictions from repeated measures to one or two markers. However, they hardly extend to the case where the complete patient history includes much more repeated markers possibly. Our objective was thus to propose a solution for the dynamic prediction of a health event that may exploit repeated measures of a possibly large number of markers. We combined a landmark approach extended to endogenous markers history with machine learning methods adapted to survival data. Each marker trajectory is modeled using the information collected up to landmark time, and summary variables that best capture the individual trajectories are derived. These summaries and additional covariates are then included in different prediction methods. To handle a possibly large dimensional history, we rely on machine learning methods adapted to survival data, namely regularized regressions and random survival forests, to predict the event from the landmark time, and we show how they can be combined into a superlearner. Then, the performances are evaluated by cross-validation using estimators of Brier Score and the area under the Receiver Operating Characteristic curve adapted to censored data. We demonstrate in a simulation study the benefits of machine learning survival methods over standard survival models, especially in the case of numerous and/or nonlinear relationships between the predictors and the event. We then applied the methodology in two prediction contexts: a clinical context with the prediction of death for patients with primary biliary cholangitis, and a public health context with the prediction of death in the general elderly population at different ages. Our methodology, implemented in R, enables the prediction of an event using the entire longitudinal patient history, even when the number of repeated markers is large. Although introduced with mixed models for the repeated markers and methods for a single right censored time-to-event, our method can be used with any other appropriate modeling technique for the markers and can be easily extended to competing risks setting.
Supplemental Material, SPPS780732_suppl_mat - How to Have Your Cake and Eat It Too Strategic Indulgence in Big-Time Collegiate Sports Among Academically Successful Students
Creators: name: Lile Jia
name: Hirt, Edward R.
name: Alethea H. Q. Koh
Publisher: name: SAGE Journals
Year: 2018
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental Material, SPPS780732_suppl_mat for How to Have Your Cake and Eat It Too Strategic Indulgence in Big-Time Collegiate Sports Among Academically Successful Students by Lile Jia, Edward R. Hirt, and Alethea H. Q. Koh in Social Psychological and Personality Science
Bruchela Dejean 1821
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Anthribidae
Bruchela

description: Bruchela Dejean, 1821
[= Urodon Schönherr, 1823] (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
A multistate approach for mediation analysis in the presence of semi-competing risks with application in cancer survival disparities
Creators: name: Valeri, Linda
name: Proust-Lima, Cécile
name: Fan, Weijia
name: Chen, Jarvis T.
name: Jacqmin-Gadda, Hélène
Publisher: name: arXiv
Year: 2021
Subjects: subject: Methodology (stat.ME)
subject: FOS: Computer and information sciences
subject: 62D20

description: We propose a novel methodology to quantify the effect of stochastic interventions on non-terminal time-to-events that lie on the pathway between an exposure and a terminal time-to-event outcome. Investigating these effects is particularly important in health disparities research when we seek to quantify inequities in timely delivery of treatment and its impact on patients survival time. Current approaches fail to account for semi-competing risks arising in this setting. Under the potential outcome framework, we define and provide identifiability conditions for causal estimands for stochastic direct and indirect effects. Causal contrasts are estimated in continuous time within a multistate modeling framework and analytic formulae for the estimators of the causal contrasts are developed. We show via simulations that ignoring censoring in mediator and or outcome time-to-event processes, or ignoring competing risks may give misleading results. This work demonstrates that rigorous definition of the direct and indirect effects and joint estimation of the outcome and mediator time-to-event distributions in the presence of semi-competing risks are crucial for valid investigation of mechanisms in continuous time. We employ this novel methodology to investigate the role of delaying treatment uptake in explaining racial disparities in cancer survival in a cohort study of colon cancer patients.
description: 31 pages, 4 figures, 2 tables
Optimized Current Density Reconstruction from Widefield Quantum Diamond Magnetic Field Maps
Creators: name: Midha, Siddhant
name: Parashar, Madhur
name: Bathla, Anuj
name: Broadway, David A.
name: Tetienne, Jean-Philippe
name: Saha, Kasturi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum Diamond Microscopy using Nitrogen-Vacancy (NV) defects in diamond crystals has enabled the magnetic field imaging of a wide variety of nanoscale current profiles. Intimately linked with the imaging process is the problem of reconstructing the current density, which provides critical insight into the structure under study. This manifests as a non-trivial inverse problem of current reconstruction from noisy data, typically conducted via Fourier-based approaches. Learning algorithms and Bayesian methods have been proposed as novel alternatives for inference-based reconstructions. We study the applicability of Fourier-based and Bayesian methods for reconstructing two-dimensional current density maps from magnetic field images obtained from NV imaging. We discuss extensive numerical simulations to elucidate the performance of the reconstruction algorithms in various parameter regimes, and further validate our analysis via performing reconstructions on experimental data. Finally, we examine parameter regimes that favor specific reconstruction algorithms and provide an empirical approach for selecting regularization in Bayesian methods.
description: close to published version
Computational Offloading in Semantic-Aware Cloud-Edge-End Collaborative Networks
Creators: name: Ji, Zelin
name: Qin, Zhijin
Publisher: name: arXiv
Year: 2024
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The trend of massive connectivity pushes forward the explosive growth of end devices. The emergence of various applications has prompted a demand for pervasive connectivity and more efficient computing paradigms. On the other hand, the lack of computational capacity of the end devices restricts the implementation of the intelligent applications, and becomes a bottleneck of the multiple access for supporting massive connectivity. Mobile cloud computing (MCC) and mobile edge computing (MEC) techniques enable end devices to offload local computation-intensive tasks to servers by networks. In this paper, we consider the cloud-edge-end collaborative networks to utilize distributed computing resources. Furthermore, we apply task-oriented semantic communications to tackle the fast-varying channel between the end devices and MEC servers and reduce the communication cost. To minimize long-term energy consumption on constraints queue stability and computational delay, a Lyapunov-guided deep reinforcement learning hybrid (DRLH) framework is proposed to solve the mixed integer non-linear programming (MINLP) problem. The long-term energy consumption minimization problem is transformed into the deterministic problem in each time frame. The DRLH framework integrates a model-free deep reinforcement learning algorithm with a model-based mathematical optimization algorithm to mitigate computational complexity and leverage the scenario information, so that improving the convergence performance. Numerical results demonstrate that the proposed DRLH framework achieves near-optimal performance on energy consumption while stabilizing all queues.
description: Submitted to IEEE JSTSP
The Affine Shape of a Figure-Eight under the Curve Shortening Flow
Creators: name: Coiculescu, Matei P.
name: Schwartz, Richard Evan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: We consider the curve shortening flow applied to a class of figure-eight curves: those with dihedral symmetry, convex lobes, and a monotonicity assumption on the curvature. We prove that when (non-conformal) linear transformations are applied to the solution so as to keep the bounding box the unit square, the renormalized limit converges to a quadrilateral which we call a bowtie. Along the way we prove that suitably chosen arcs of our evolving curves, when suitably rescaled, converge to the Grim Reaper Soliton under the flow. Our Grim Reaper Theorem is an analogue of a theorem of S. Angenent, which is proven in the locally convex case.
description: Our paper was accepted to the Journal of Differential Geometry, and this version is the final version we sent to the journal. It agrees with the previous version except that we corrected a few typos and also shortened the proof of the Migration Lemma in the last chapter
Centricnemus Germar 1827
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Curculionidae
Centricnemus

description: Centricnemus Germar, 1827
[= Ctenochirus Seidlitz, 1890] (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
[Querida familia : Una vez más estoy con Uds.]
Creators: name: Laura, Ojeda
name: Ojeda, Laura
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2025

description: Destinataire : Ojeda, Hugo Eduardo / Burgos, Rosa / Ojeda, Ofelia / Ojeda, Carlos
description: Carte de vœux de Nouvelle Année illustrée, faite main, envoyée à sa famille, depuis la Prison de Villa Devoto. Sur la première page : la mention « Felices Fiestas » et un sapin découpé collé en dessous. Sur les pages intérieures du feuillet déplié : le texte, un sapin composé de plusieurs couches de papier avec une étoile jaune à son sommet collé au centre, puis en dessous, un collage représentant une farandole de personnages qui se tiennent la main.
description: Tarjeta de Año Nuevo ilustrada, hecha a mano, enviada a su familia, desde la Prisión de Villa Devoto. En la primera página: la mención «Felices Fiestas» y un abeto cortado pegado debajo. En las páginas interiores del folio desplegado: el texto, un abeto compuesto de varias capas de papel con una estrella amarilla en su parte superior pegada al centro, y luego debajo, un collage que representa una farandola de personajes que se toman de la mano.
description: Notes : Feuillet double illustré avec des collages. Texte écrit au stylo bleu. Tampons [Sup. Decreto 2023/74] et [Censurada] dans la partie supérieure de la première page. On retrouve le motifs de la farandole chez Irma Antognazzi (FR-IA-B-019 / FR-IA-B-032 / FR-IA-B-035).
description: Source: FR-LO-B-041
description: Source: Localisation du fonds : Argentine / Rosario
description: created: 1975-12/1976-12
Identity between Restricted Cauchy Sums for the $q$-Whittaker and Skew Schur Polynomials
Creators: name: Imamura, Takashi
name: Mucciconi, Matteo
name: Sasamoto, Tomohiro
Publisher: name: arXiv
Year: 2021
Subjects: subject: Combinatorics (math.CO)
subject: Mathematical Physics (math-ph)
subject: Probability (math.PR)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: The Cauchy identities play an important role in the theory of symmetric functions. It is known that Cauchy sums for the $q$-Whittaker and the skew Schur polynomials produce the same factorized expressions modulo a $q$-Pochhammer symbol. We consider the sums with restrictions on the length of the first rows for labels of both polynomials and prove an identity which relates them. The proof is based on techniques from integrable probability: we rewrite the identity in terms of two probability measures: the $q$-Whittaker measure and the periodic Schur measure. The relation follows by comparing their Fredholm determinant formulas.
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
Creators: name: Chan, Kennard Yanting
name: Liu, Fayao
name: Lin, Guosheng
name: Foo, Chuan Sheng
name: Lin, Weisi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Pixel-aligned implicit models, such as PIFu, PIFuHD, and ICON, are used for single-view clothed human reconstruction. These models need to be trained using a sampling training scheme. Existing sampling training schemes either fail to capture thin surfaces (e.g. ears, fingers) or cause noisy artefacts in reconstructed meshes. To address these problems, we introduce Fine Structured-Aware Sampling (FSS), a new sampling training scheme to train pixel-aligned implicit models for single-view human reconstruction. FSS resolves the aforementioned problems by proactively adapting to the thickness and complexity of surfaces. In addition, unlike existing sampling training schemes, FSS shows how normals of sample points can be capitalized in the training process to improve results. Lastly, to further improve the training process, FSS proposes a mesh thickness loss signal for pixel-aligned implicit models. It becomes computationally feasible to introduce this loss once a slight reworking of the pixel-aligned implicit function framework is carried out. Our results show that our methods significantly outperform SOTA methods qualitatively and quantitatively. Our code is publicly available at https://github.com/kcyt/FSS.
description: Accepted in Proceedings of the AAAI Conference on Artificial Intelligence, 2024 (AAAI 2024)
Ceratapion Schilsky 1901
Creators: name: Colonnelli, Enzo
Publisher: name: Zenodo
Year: 2003
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Apionidae
Ceratapion

description: Ceratapion Schilsky, 1901
[= Acanephodus Alonso­Zarazaga, 1990] (Gønget 1997).
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
Weighted Intersection over Union (wIoU) for Evaluating Image Segmentation
Creators: name: Cho, Yeong-Jun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In recent years, many semantic segmentation methods have been proposed to predict label of pixels in the scene. In general, we measure area prediction errors or boundary prediction errors for comparing methods. However, there is no intuitive evaluation metric that evaluates both aspects. In this work, we propose a new evaluation measure called weighted Intersection over Union (wIoU) for semantic segmentation. First, it builds a weight map generated from a boundary distance map, allowing weighted evaluation for each pixel based on a boundary importance factor. The proposed wIoU can evaluate both contour and region by setting a boundary importance factor. We validated the effectiveness of wIoU on a dataset of 33 scenes and demonstrated its flexibility. Using the proposed metric, we expect more flexible and intuitive evaluation in semantic segmentation field are possible.
description: 9 pages, 11 figures
Magnetic-field dependence of a Josephson traveling-wave parametric amplifier and integration into a high-field setup
Creators: name: Janssen, L. M.
name: Butseraen, G.
name: Krause, J.
name: Coissard, A.
name: Planat, L.
name: Roch, N.
name: Catelani, G.
name: Ando, Yoichi
name: Dickel, C.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We investigate the effect of magnetic field on a photonic-crystal Josephson traveling-wave parametric amplifier (TWPA). We show that the observed change in photonic bandgap and plasma frequency of the TWPA can be modeled by considering the suppression of the critical current in the Josephson junctions (JJs) of the TWPA due to the Fraunhofer effect and closing of the superconducting gap. Accounting for the JJ geometry is crucial for understanding the field dependence. In one in-plane direction, the TWPA bandgap can be shifted by 2 GHz using up to 60 mT of field, without losing gain or bandwidth, showing that TWPAs without SQUIDs can be field tunable. In the other in-plane direction, the magnetic field is perpendicular to the larger side of the Josephson junctions, so the Fraunhofer effect has a smaller period. This larger side of the JJs is modulated to create the bandgap. The field interacts more strongly with the larger junctions, and as a result, the TWPA bandgap closes and reopens as the field increases, causing the TWPA to become severely compromised already at 2 mT. A slightly higher operating limit of 5 mT is found in out-of-plane field, for which the TWPA's response is hysteretic. These measurements reveal the requirements for magnetic shielding needed to use TWPAs in experiments where high fields at the sample are required; we show that with magnetic shields we can operate the TWPA while applying over 2 T to the sample.
Motility and self-organization of gliding Chlamydomonas populations
Creators: name: Till, Sebastian
name: Ebmeier, Florian
name: Fragkopoulos, Alexandros A.
name: Mazza, Marco G.
name: Bäumchen, Oliver
Publisher: name: arXiv
Year: 2021
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: Cellular appendages such as cilia and flagella represent universal tools enabling cells and microbes, among other essential functionalities, to propel themselves in diverse environments. In its planktonic, i.e. freely swimming, state the unicellular bi-flagellated microbe Chlamydomonas reinhardtii employs a periodic breaststroke-like flagellar beating to displace the surrounding fluid. Another flagella-mediated motility mode is observed for surface-associated Chlamydomonas cells, which glide along the surface by means of force transduction through an intraflagellar transport machinery. Experiments and statistical motility analysis demonstrate that this gliding motility enhances clustering and supports self-organization of Chlamydomonas populations. We employ Minkowski functionals to characterize the spatiotemporal organization of the surface-associated cell monolayer. We find that simulations based on a purely mechanistic approach cannot capture the observed non-random cell configurations. Quantitative agreement with experimental data however is achieved when considering a minimal cognitive model of the flagellar mechanosensing.
description: 6 pages, 4 figures
CEST MR fingerprinting (CEST-MRF) for Brain Tumor Quantification Using EPI Readout and Deep Learning Reconstruction
Creators: name: Cohen, Ouri
name: Yu, Victoria Y.
name: Tringale, Kathryn R.
name: Young, Robert J.
name: Perlman, Or
name: Farrar, Christian T.
name: Otazo, Ricardo
Publisher: name: arXiv
Year: 2021
Subjects: subject: Medical Physics (physics.med-ph)
subject: Image and Video Processing (eess.IV)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: $\textbf{Purpose}$: To develop a clinical CEST MR fingerprinting (CEST-MRF) method for brain tumor quantification using EPI acquisition and deep learning reconstruction. $\textbf{Methods}$: A CEST-MRF pulse sequence originally designed for animal imaging was modified to conform to hardware limits on clinical scanners while keeping scan time $\leq$ 2 minutes. Quantitative MRF reconstruction was performed using a deep reconstruction network (DRONE) to yield the water relaxation and chemical exchange parameters. The feasibility of the 6 parameter DRONE reconstruction was tested in simulations in a digital brain phantom. A healthy subject was scanned with the CEST-MRF sequence, conventional MRF and CEST sequences for comparison. Reproducibility was assessed via test-retest experiments and the concordance correlation coefficient (CCC) calculated for white matter (WM) and grey matter (GM). The clinical utility of CEST-MRF was demonstrated in 4 patients with brain metastases in comparison to standard clinical imaging sequences. Tumors were segmented into edema, solid core and necrotic core regions and the CEST-MRF values compared to the contra-lateral side. $\textbf{Results}$: The DRONE reconstruction of the digital phantom yielded a normalized RMS error of $\leq$ 7% for all parameters. The CEST-MRF parameters were in good agreement with those from conventional MRF and CEST sequences and previous studies. The mean CCC for all 6 parameters was 0.98$\pm$0.01 in WM and 0.98$\pm$0.02 in GM. The CEST-MRF values in nearly all tumor regions were significantly different (P=0.05) from each other and the contra-lateral side. $\textbf{Conclusion}$: Combination of EPI readout and deep learning reconstruction enabled fast, accurate and reproducible CEST-MRF in brain tumors.
description: 9 figures, 1 table