cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Low-latency Perception in Off-Road Dynamical Low Visibility Environments
Creators: name: Alves, Nelson
name: Ruiz, Marco
name: Reis, Marco
name: Cajahyba, Tiago
name: Oliveira, Davi
name: Barreto, Ana
name: Filho, Eduardo F. Simas
name: de Oliveira, Wagner L. A.
name: Schnitman, Leizer
name: Monteiro, Roberto L. S.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: Robotics (cs.RO)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This work proposes a perception system for autonomous vehicles and advanced driver assistance specialized on unpaved roads and off-road environments. In this research, the authors have investigated the behavior of Deep Learning algorithms applied to semantic segmentation of off-road environments and unpaved roads under differents adverse conditions of visibility. Almost 12,000 images of different unpaved and off-road environments were collected and labeled. It was assembled an off-road proving ground exclusively for its development. The proposed dataset also contains many adverse situations such as rain, dust, and low light. To develop the system, we have used convolutional neural networks trained to segment obstacles and areas where the car can pass through. We developed a Configurable Modular Segmentation Network (CMSNet) framework to help create different architectures arrangements and test them on the proposed dataset. Besides, we also have ported some CMSNet configurations by removing and fusing many layers using TensorRT, C++, and CUDA to achieve embedded real-time inference and allow field tests. The main contributions of this work are: a new dataset for unpaved roads and off-roads environments containing many adverse conditions such as night, rain, and dust; a CMSNet framework; an investigation regarding the feasibility of applying deep learning to detect region where the vehicle can pass through when there is no clear boundary of the track; a study of how our proposed segmentation algorithms behave in different severity levels of visibility impairment; and an evaluation of field tests carried out with semantic segmentation architectures ported for real-time inference.
Picosecond energy transfer in a transition metal dichalcogenide-graphene heterostructure revealed by transient Raman spectroscopy
Creators: name: Ferrante, Carino
name: Di Battista, Giorgio
name: López, Luis E. Parra
name: Batignani, Giovanni
name: Lorchat, Etienne
name: Virga, Alessandra
name: Berciaud, Stéphane
name: Scopigno, Tullio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Intense light-matter interactions and unique structural and electrical properties make Van der Waals heterostructures composed by Graphene (Gr) and monolayer transition metal dichalcogenides (TMD) promising building blocks for tunnelling transistors, flexible electronics, as well as optoelectronic devices, including photodetectors, photovoltaics and quantum light emitting devices (QLEDs), bright and narrow-line emitters using minimal amounts of active absorber material. The performance of such devices is critically ruled by interlayer interactions which are still poorly understood in many respects. Specifically, two classes of coupling mechanisms have been proposed: charge transfer (CT) and energy transfer (ET), but their relative efficiency and the underlying physics is an open question. Here, building on a time resolved Raman scattering experiment, we determine the electronic temperature profile of Gr in response to TMD photo-excitation, tracking the picosecond dynamics of the G and 2D bands. Compelling evidence for a dominant role ET process accomplished within a characteristic time of ~ 4 ps is provided. Our results suggest the existence of an intermediate process between the observed picosecond ET and the generation of a net charge underlying the slower electric signals detected in optoelectronic applications.
description: 32 pages, 15 figures
Observation of thermalization and information scrambling in a superconducting quantum processor
Creators: name: Zhu, Qingling
name: Sun, Zheng-Hang
name: Gong, Ming
name: Chen, Fusheng
name: Zhang, Yu-Ran
name: Wu, Yulin
name: Ye, Yangsen
name: Zha, Chen
name: Li, Shaowei
name: Guo, Shaojun
name: Qian, Haoran
name: Huang, He-Liang
name: Yu, Jiale
name: Deng, Hui
name: Rong, Hao
name: Lin, Jin
name: Xu, Yu
name: Sun, Lihua
name: Guo, Cheng
name: Li, Na
name: Liang, Futian
name: Peng, Cheng-Zhi
name: Fan, Heng
name: Zhu, Xiaobo
name: Pan, Jian-Wei
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Understanding various phenomena in non-equilibrium dynamics of closed quantum many-body systems, such as quantum thermalization, information scrambling, and nonergodic dynamics, is a crucial for modern physics. Using a ladder-type superconducting quantum processor, we perform analog quantum simulations of both the $XX$ ladder and one-dimensional (1D) $XX$ model. By measuring the dynamics of local observables, entanglement entropy and tripartite mutual information, we signal quantum thermalization and information scrambling in the $XX$ ladder. In contrast, we show that the $XX$ chain, as free fermions on a 1D lattice, fails to thermalize, and local information does not scramble in the integrable channel. Our experiments reveal ergodicity and scrambling in the controllable qubit ladder, and opens the door to further investigations on the thermodynamics and chaos in quantum many-body systems.
description: 5 pages, 4 figures, and supplementary materials with 10 pages, 3 tables and 14 figures
NODES_Tincare_Z31_INTERCOACH: supporto telefonico infermieristico con telemonitoraggio per ottimizzare la cura
Creators: name: DAL MOLIN, Alberto
name: Basso, Ines
name: Bassi, Erika
Publisher: name: Zenodo
Year: 2025
Subjects: Spoke 5 - Industry for Health and Silver Economy
TINCARE Project
Digital care innovation
ECS00000036

description: E-poster FNOPI Congress, Rimini, 20-22 March 2025
Considerations on the European wild grapevine (Vitis vinifera L. ssp. sylvestris (Gmelin) Hegi) and Phylloxera infestation
Creators: name: Ocete, R.
name: Arnold, C.
name: Failla, O.
name: Lovicu, G.
name: Biagini, B.
name: Imazio, S.
name: Lara, M.
name: Maghradze, D.
Publisher: name: VITIS - Journal of Grapevine Research
Year: 2015

description: Research Note
description: VITIS - Journal of Grapevine Research, Vol. 50 No. 2 (2011): Vitis
title: Projet de recherche "L'interaction culturelle dans le bassin de la Méditerranée: l'image du patrimoine culturel des pays arabo-méditerranéens dans les musées euro-méditerranéens" Chaire excellence Aristote 2015
Creators: name: Ismail, Randa
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: Candidature de Randa Ismail à la chaire d'excellence Aristote, initiée dans le cadre du LabexMed.
Operational Readiness for High-Risk Professions
Creators: name: Mcdonald, Judy
Publisher: name: University of Westminster
Year: 2025

description: This commentary consists of five peer-reviewed academic articles and a peer-reviewed, single-authored book, describing research which spans diverse professions. Sherpa guiding, homelessness services, global health, dentistry, neurosurgery, and policing—each seeking evidence-based solutions for operational challenges, training improvements, and preservation of expertise. The central focus is on expanding Orlick's mental-readiness model, the ‘Wheel of Excellence,’ originally designed for elite athletes, into a comprehensive ‘Operational Readiness Framework for High-Risk Professions.’ This new framework seeks to enhance performance excellence and optimise frontline operations in high-risk environments by refining training, ensuring consistency, reducing errors, and improving efficiency. This body of work draws lessons from exceptional professionals, evaluating the importance of physical, technical, and mental readiness, while identifying comparable performance indicators. It contributes to applied psychology and professional practice by developing specialised training tools and constructing a generalisable framework tailored to high-risk professions, grounded in sport psychology and wellbeing theories. The evidence is presented sequentially, linking four decades of research and practical expertise on how exceptional practitioners in public health and safety, psychosocial, medical, and protective services prepare for their roles. It also considers the complex interplay between high performance, frontline stress, and overall wellbeing. The research is built on three foundational pillars: performance excellence, preparedness, and professional specificity. A four-tiered appraisal approach—Pre-analysis, Critical Appraisal Skills Programme (CASP) checklist, template analysis, and immersion-crystallisation—is used to critically analyse, synthesise and integrate the six publications, revealing cross-cutting issues and themes not apparent when examining a single profession. Reflexivity is woven throughout, acknowledging the positions, assumptions, and beliefs influencing the work. The commentary concludes by discussing limitations, strengths, anticipated future steps, and final reflections. It explores interprofessional lessons, new theories, and practical ways to address global security challenges using the Operational Readiness Framework.
title: STUDIO CLINICO _ ALTERAZIONI OLFATTIVE - 506.2021
title: ALTERAZIONI OLFATTIVE - 506.2021
titleType: Subtitle
Creators: name: Data Management
Publisher: name: Zenodo
Year: 2024

description: STUDIO CLINICO_ Alterazioni Olfattive 506.2021

TITOLO : Alterazioni olfattive e complicanze del diabete di tipo 2

Promotore: MultiMedica

Studio osservazionale retro-prospettico multicentrico nazionale (Coordinatore MultiMedica)

Sinossi da Protocollo Versione 1.0 Ottobre 2021 - Verbale CE 11.2022 

Sinossi da Protocollo Versione 2.0 del 9.11.2022 - Verbale CE 149.2022

A novembre 2022: Richiesta di valutazione ed approvazione dell’EMENDAMENTO sostanziale  dello studio clinico dal titolo “Alterazioni olfattive e complicanze del diabete di tipo 2” –Codice 506.2021 ; approvato dal Comitato Etico Indipendente IRCCS Multimedica  nella seduta del 19/10/2021.

L’emendamento si rende necessario per includere un nuovo centro. Lo studio quindi da monocentrico diventa studio multicentrico.

Sede: lo studio è già in corso  presso il Dipartimento di Otorinolaringoiatria e di Endocrinologia, Nutrizione e Malattie Metaboliche dell’IRCCS Multimedica.

Sarà incluso un altro centro di seguito dettagliato:  Dipartimento di Endocrinologia dell’Ospedale di Sondrio, Azienda Socio Sanitaria Territoriale della Valtellina e dell'Alto Lario. Responsabile scientifico -  Dr. Lucio Amoresano
Entanglement Dynamics From Random Product States: Deviation From Maximal Entanglement
Creators: name: Huang, Yichen
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the entanglement dynamics of quantum many-body systems and prove the following: (I) For any geometrically local Hamiltonian on a lattice, starting from a random product state the entanglement entropy is bounded away from the maximum entropy at all times with high probability. (II) In a spin-glass model with random all-to-all interactions, starting from any product state the average entanglement entropy is bounded away from the maximum entropy at all times. We also extend these results to any unitary evolution with charge conservation and to the Sachdev-Ye-Kitaev model. Our results highlight the difference between the entanglement generated by (chaotic) Hamiltonian dynamics and that of random states, for the latter is nearly maximal.
description: v2: conference version; v3: journal version with new results on the tightness of a bound. 20-minute video presentation: https://youtu.be/pC23STkAykg
Robust output-feedback stabilization for incompressible flows using low-dimensional $\mathcal{H}_{\infty}$-controllers
Creators: name: Benner, Peter
name: Heiland, Jan
name: Werner, Steffen W. R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Dynamical Systems (math.DS)
subject: Fluid Dynamics (physics.flu-dyn)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: Output-based controllers are known to be fragile with respect to model uncertainties. The standard $\mathcal{H}_{\infty}$-control theory provides a general approach to robust controller design based on the solution of the $\mathcal{H}_{\infty}$-Riccati equations. In view of stabilizing incompressible flows in simulations, two major challenges have to be addressed: the high-dimensional nature of the spatially discretized model and the differential-algebraic structure that comes with the incompressibility constraint. This work demonstrates the synthesis of low-dimensional robust controllers with guaranteed robustness margins for the stabilization of incompressible flow problems. The performance and the robustness of the reduced-order controller with respect to linearization and model reduction errors are investigated and illustrated in numerical examples.
description: 20 pages, 4 figures, 3 tables
Implementation of quantum stochastic walks for function approximation, two-dimensional data classification, and sequence classification
Creators: name: Wang, Lu-Ji
name: Lin, Jia-Yi
name: Wu, Shengjun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: We study a quantum stochastic neural network (QSNN) based on quantum stochastic walks on a graph, and use gradient descent to update the network parameters. We apply a toy model of QSNN with a few neurons to the problems of function approximation, two-dimensional data classification, and sequence classification. A simple QSNN with five neurons is trained to determine whether a sequence of words is a sentence or not, and we find that a QSNN can reduce the number of training steps. A QSNN with 11 neurons shows a quantum advantage in improving the accuracy of recognizing new types of inputs like verses. Moreover, with our toy model, we find the coherent QSNN is more robust against both label noise and device noise, compared with the decoherent QSNN. These results show that quantum stochastic walks may be a useful resource to implement a quantum neural network.
description: 17 pages, 14 figures
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
Creators: name: Huang, Wei
name: Li, Yayong
name: Du, Weitao
name: Yin, Jie
name: Da Xu, Richard Yi
name: Chen, Ling
name: Zhang, Miao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Graph convolutional networks (GCNs) and their variants have achieved great success in dealing with graph-structured data. Nevertheless, it is well known that deep GCNs suffer from the over-smoothing problem, where node representations tend to be indistinguishable as more layers are stacked up. The theoretical research to date on deep GCNs has focused primarily on expressive power rather than trainability, an optimization perspective. Compared to expressivity, trainability attempts to address a more fundamental question: Given a sufficiently expressive space of models, can we successfully find a good solution via gradient descent-based optimizers? This work fills this gap by exploiting the Graph Neural Tangent Kernel (GNTK), which governs the optimization trajectory under gradient descent for wide GCNs. We formulate the asymptotic behaviors of GNTK in the large depth, which enables us to reveal the dropping trainability of wide and deep GCNs at an exponential rate in the optimization process. Additionally, we extend our theoretical framework to analyze residual connection-based techniques, which are found to be merely able to mitigate the exponential decay of trainability mildly. Inspired by our theoretical insights on trainability, we propose Critical DropEdge, a connectivity-aware and graph-adaptive sampling method, to alleviate the exponential decay problem more fundamentally. Experimental evaluation consistently confirms using our proposed method can achieve better results compared to relevant counterparts with both infinite-width and finite-width.
description: 26 pages
Association of Botryosphaeriaceae grapevine trunk disease fungi with the reproductive structures of Vitis vinifera
Creators: name: Wunderlich, N.
name: Ash, G. J.
name: Steel, C. C.
name: Raman, H.
name: Savocchia, S.
Publisher: name: VITIS - Journal of Grapevine Research
Year: 2015

description: Several species belonging to the Botryosphaeriaceae were isolated from grapevine (Vitis vinifera) tissue other than wood during a survey of two vineyards planted to cultivars ‘Chardonnay’ and ‘Shiraz’ in the Hunter Valley, New South Wales, Australia over the 2007/08 and 2008/09 growing seasons. A total of 188 isolates corresponding to nine different species of Diplodia, Dothiorella and Neofusicoccum anamorphs were isolated from dormant buds, flowers, pea-sized berries and mature berries prior to harvest in addition to 142 isolates from the trunks of the same vines. Furthermore, the occurrence of Dothiorella viticola, Diplodia mutila and Neofusicoccum australe is reported here for the first time from grapevines in the Hunter Valley. These findings may provide important information for the management and spread of Botryosphaeriaceae in vineyards where they are considered serious wood-invading pathogens. Botryosphaeriaceae are occasionally found on bunches, however, until now they have not directly been related to bunch rots. Control strategies for trunk diseases caused by Botryosphaeriaceae are currently limited to remedial surgery and wound protection. These strategies do not consider other grapevine tissue as potential inoculum sources for infection of Botryosphaeriaceae in the vineyard.
description: VITIS - Journal of Grapevine Research, Vol. 50 No. 2 (2011): Vitis
A Practical Guide to Multi-Objective Reinforcement Learning and Planning
Creators: name: Hayes, Conor F.
name: Rădulescu, Roxana
name: Bargiacchi, Eugenio
name: Källström, Johan
name: Macfarlane, Matthew
name: Reymond, Mathieu
name: Verstraeten, Timothy
name: Zintgraf, Luisa M.
name: Dazeley, Richard
name: Heintz, Fredrik
name: Howley, Enda
name: Irissappane, Athirai A.
name: Mannion, Patrick
name: Nowé, Ann
name: Ramos, Gabriel
name: Restelli, Marcello
name: Vamplew, Peter
name: Roijers, Diederik M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Real-world decision-making tasks are generally complex, requiring trade-offs between multiple, often conflicting, objectives. Despite this, the majority of research in reinforcement learning and decision-theoretic planning either assumes only a single objective, or that multiple objectives can be adequately handled via a simple linear combination. Such approaches may oversimplify the underlying problem and hence produce suboptimal results. This paper serves as a guide to the application of multi-objective methods to difficult problems, and is aimed at researchers who are already familiar with single-objective reinforcement learning and planning methods who wish to adopt a multi-objective perspective on their research, as well as practitioners who encounter multi-objective decision problems in practice. It identifies the factors that may influence the nature of the desired solution, and illustrates by example how these influence the design of multi-objective decision-making systems for complex problems.
F-SIOL-310: A Robotic Dataset and Benchmark for Few-Shot Incremental Object Learning
Creators: name: Ayub, Ali
name: Wagner, Alan R.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Robotics (cs.RO)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Deep learning has achieved remarkable success in object recognition tasks through the availability of large scale datasets like ImageNet. However, deep learning systems suffer from catastrophic forgetting when learning incrementally without replaying old data. For real-world applications, robots also need to incrementally learn new objects. Further, since robots have limited human assistance available, they must learn from only a few examples. However, very few object recognition datasets and benchmarks exist to test incremental learning capability for robotic vision. Further, there is no dataset or benchmark specifically designed for incremental object learning from a few examples. To fill this gap, we present a new dataset termed F-SIOL-310 (Few-Shot Incremental Object Learning) which is specifically captured for testing few-shot incremental object learning capability for robotic vision. We also provide benchmarks and evaluations of 8 incremental learning algorithms on F-SIOL-310 for future comparisons. Our results demonstrate that the few-shot incremental object learning problem for robotic vision is far from being solved.
description: Fixed the link to dataset
Biestable S-R asíncrono - Circuitos secuenciales
Creators: name: Machado, Felipe
Publisher: name: Zenodo
Year: 2020
Subjects: Electrónica Digital
Biestables
Diseño digital
Circuitos secuenciales

description: Presentación de clase con introducción a los circuitos secuenciales: funcionamiento e implementación del biestable S-R asíncrono. Video de la presentación disponible: Introducción e implementación con puertas NOR: https://youtu.be/Y3B1UKwQ7G8 Obtención del cronograma a partir de una secuencia de entradas: https://youtu.be/KdRcHo1msxI Implementación con puertas NAND: https://youtu.be/ipsJB2MKqvU
description: versión 1.1: Corregida la tabla de verdad del biestable a nivel bajo de las páginas 55 y 56
Biestable S-R asíncrono - Circuitos secuenciales
Creators: name: Machado, Felipe
Publisher: name: Zenodo
Year: 2020
Subjects: Electrónica Digital
Biestables
Diseño digital
Circuitos secuenciales

description: Presentación de clase con introducción a los circuitos secuenciales: funcionamiento e implementación del biestable S-R asíncrono. Video de la presentación disponible: Introducción e implementación con puertas NOR: https://youtu.be/Y3B1UKwQ7G8 Obtención del cronograma a partir de una secuencia de entradas: https://youtu.be/KdRcHo1msxI Implementación con puertas NAND: https://youtu.be/ipsJB2MKqvU
description: Hay un error en la tabla de verdad del biestable a nivel bajo de las páginas 55 y 56. Corregido en la siguiente versión
Topological response of the anomalous Hall effect in MnBi2Te4 due to magnetic canting
Creators: name: Bac, S. -K.
name: Koller, K.
name: Lux, F.
name: Wang, J.
name: Riney, L.
name: Borisiak, K.
name: Powers, W.
name: Zhukovskyi, M.
name: Orlova, T.
name: Dobrowolska, M.
name: Furdyna, J. K.
name: Dilley, N. R.
name: Rokhinson, L. P.
name: Mokrousov, Y.
name: McQueeney, R. J.
name: Heinonen, O.
name: Liu, X.
name: Assaf, B. A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Three-dimensional (3D) compensated MnBi2Te4 is antiferromagnetic, but undergoes a spin-flop transition at intermediate fields, resulting in a canted phase before saturation. In this work, we experimentally show that the anomalous Hall effect (AHE) in MnBi2Te4 originates from a topological response that is sensitive to the perpendicular magnetic moment and to its canting angle. Synthesis by molecular beam epitaxy allows us to obtain a large-area quasi-3D 24-layer MnBi2Te4 with near-perfect compensation that hosts the phase diagram observed in bulk which we utilize to probe the AHE. This AHE is seen to exhibit an antiferromagnetic response at low magnetic fields, and a clear evolution at intermediate fields through surface and bulk spin-flop transitions into saturation. Throughout this evolution, the AHE is super-linear versus magnetization rather than the expected linear relationship. We reveal that this discrepancy is related to the canting angle, consistent with the symmetry of the crystal. Our findings suggests that novel topological responses may be found in non-collinear ferromagnetic, and antiferromagnetic phases.
Covering systems with odd moduli
Creators: name: Harrington, Joshua
name: Sun, Yewen
name: Wong, Wing Hong Tony
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: 11A07

description: The concept of a covering system was first introduced by Erdős in 1950. Since their introduction, a lot of the research regarding covering systems has focused on the existence of covering systems with certain restrictions on the moduli. Arguably, the most famous open question regarding covering systems is the odd covering problem. In this paper, we explore a variation of the odd covering problem, allowing a single odd prime to appear as a modulus in the covering more than once, while all other moduli are distinct, odd, and greater than $1$. We also consider this variation while further requiring the moduli of the covering system to be square-free.
Le Liriche su Verlaine di Bruno Maderna. Disposizione, testo poetico, occasioni di un’opera giovanile e luoghi critici della sua fortuna postuma
Creators: name: Dal Molin, Paolo
Publisher: name: Pavia University Press - Edizioni dell'Università degli Studi di Pavia
Year: 2020

description: Capita a un ritrovamento di subire una prima incerta valorizzazione e di dover successivamente assecondare il tempo per ricevere una più giusta collocazione. Così è avvenuto a una parte dell’opera e delle fonti di Bruno Maderna, compresa la sua produzione giovanile, a cui appartengono tre Liriche su Verlaine. Il presente articolo discute i temi che sollevano alcuni significativi passi della loro edizione postuma, delle esecuzioni registrate e dei commenti sin qui elaborati, con l’obiettivo di verificarne i fondamenti e, se necessario, di rettificare o aggiustare il tiro, per una migliore comprensione futura di questo ciclo verlainiano nell’opera del compositore e nella musica italiana degli anni quaranta del novecento. In particolare sono affrontati: l’ordinamento interno della raccolta; le caratteristiche salienti dei testi poetici e i problemi linguistici della parte vocale composta da Maderna; certa resistenza all’immediatezza analitica del risultato musicale; e le ragioni che hanno condotto a intonare Verlaine alla fine del 1946.
description: Philomusica on-line, Vol 18, N° 1 (2019)
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation
Creators: name: An, Yang
name: Zhang, Liang
name: You, Mao
name: Tian, Xueqing
name: Jin, Bo
name: Wei, Xiaopeng
Publisher: name: arXiv
Year: 2021
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Recommending medications for patients using electronic health records (EHRs) is a crucial data mining task for an intelligent healthcare system. It can assist doctors in making clinical decisions more efficiently. However, the inherent complexity of the EHR data renders it as a challenging task: (1) Multilevel structures: the EHR data typically contains multilevel structures which are closely related with the decision-making pathways, e.g., laboratory results lead to disease diagnoses, and then contribute to the prescribed medications; (2) Multiple sequences interactions: multiple sequences in EHR data are usually closely correlated with each other; (3) Abundant noise: lots of task-unrelated features or noise information within EHR data generally result in suboptimal performance. To tackle the above challenges, we propose a multilevel selective and interactive network (MeSIN) for medication recommendation. Specifically, MeSIN is designed with three components. First, an attentional selective module (ASM) is applied to assign flexible attention scores to different medical codes embeddings by their relevance to the recommended medications in every admission. Second, we incorporate a novel interactive long-short term memory network (InLSTM) to reinforce the interactions of multilevel medical sequences in EHR data with the help of the calibrated memory-augmented cell and an enhanced input gate. Finally, we employ a global selective fusion module (GSFM) to infuse the multi-sourced information embeddings into final patient representations for medications recommendation. To validate our method, extensive experiments have been conducted on a real-world clinical dataset. The results demonstrate a consistent superiority of our framework over several baselines and testify the effectiveness of our proposed approach.
description: 15 pages, 6 figures
Multicomponent solutions: Combining rules for multisolute osmotic virial coefficients
Creators: Binyaminov, Hikmat
Elliott, Janet A. W.
Publisher: name: University of Alberta Library
Year: 2023

This paper presents an exploration of a specific type of a generalized multicomponent solution model, which appears to be first given by Saulov in the current explicit form. The assumptions of the underlying theory and a brief derivation of the main equation have been provided preliminarily for completeness and notational consistency. The resulting formulae for the Gibbs free energy of mixing and the chemical potentials are multivariate polynomials with physically meaningful coefficients and the mole fractions of the components as variables. With one additional assumption about the relative magnitudes of the solvent–solute and solute–solute interaction exchange energies, combining rules were obtained that express the mixed coefficients of the polynomial in terms of its pure coefficients. This was done by exploiting the mathematical structure of the asymmetric form of the solvent chemical potential equation. The combining rules allow one to calculate the thermodynamic properties of the solvent with multiple solutes from binary mixture data only (i.e., each solute with the solvent), and hence, are of practical importance. Furthermore, a connection was established between the osmotic virial coefficients derived in this work and the original osmotic virial coefficients of Hill found by employing a different procedure, illustrating the equivalency of what appears to be two different theories. A validation of the combining rules derived here has been provided in a separate paper where they were successfully used to predict the freezing points of ternary salt solutions of water.
End-to-End Jet Classification of Boosted Top Quarks with the CMS Open Data
Creators: name: Andrews, Michael
name: Burkle, Bjorn
name: Chen, Yi-fan
name: DiCroce, Davide
name: Gleyzer, Sergei
name: Heintz, Ulrich
name: Narain, Meenakshi
name: Paulini, Manfred
name: Pervan, Nikolas
name: Shafi, Yusef
name: Sun, Wei
name: Usai, Emanuele
name: Yang, Kun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: We describe a novel application of the end-to-end deep learning technique to the task of discriminating top quark-initiated jets from those originating from the hadronization of a light quark or a gluon. The end-to-end deep learning technique combines deep learning algorithms and low-level detector representation of the high-energy collision event. In this study, we use low-level detector information from the simulated CMS Open Data samples to construct the top jet classifiers. To optimize classifier performance we progressively add low-level information from the CMS tracking detector, including pixel detector reconstructed hits and impact parameters, and demonstrate the value of additional tracking information even when no new spatial structures are added. Relying only on calorimeter energy deposits and reconstructed pixel detector hits, the end-to-end classifier achieves an AUC score of 0.975$\pm$0.002 for the task of classifying boosted top quark jets. After adding derived track quantities, the classifier AUC score increases to 0.9824$\pm$0.0013, serving as the first performance benchmark for these CMS Open Data samples. We additionally provide a timing performance comparison of different processor unit architectures for training the network.
description: 9 pages, 3 figures, 4 tables; v3: unpublished
Uniaxial strain control of bulk ferromagnetism in rare-earth titanates
Creators: name: Najev, Ana
name: Hameed, Sajna
name: Gautreau, Dominique M.
name: Wang, Zhentao
name: Joe, Joseph
name: Požek, Miroslav
name: Birol, Turan
name: Fernandes, Rafael M.
name: Greven, Martin
name: Pelc, Damjan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: The perovskite rare-earth titanates are model Mott insulators with magnetic ground states that are very sensitive to structural distortions. These distortions couple strongly to the orbital degrees of freedom and, in principle, it should be possible to tune the superexchange and the magnetic transition with strain. We investigate the representative system (Y,La,Ca)TiO$_3$, which exhibits low crystallographic symmetry and no structural instabilities. From magnetic susceptibility measurements of the Curie temperature, we demonstrate direct, reversible and continuous control of ferromagnetism by influencing the TiO$_6$ octahedral tilts and rotations with uniaxial strain. The relative change in $T_C$ as a function of strain is well described by ab initio calculations, which provides detailed understanding of the complex interactions among structural, orbital and magnetic properties in rare-earth titanates. The demonstrated manipulation of octahedral distortions opens up far-reaching possibilities for investigations of electron-lattice coupling, competing ground states, and magnetic quantum phase transitions in a wide range of quantum materials.
description: 6 pages, 4 figures, nearly published version
Model-Based Offline Planning with Trajectory Pruning
Creators: name: Zhan, Xianyuan
name: Zhu, Xiangyu
name: Xu, Haoran
Publisher: name: arXiv
Year: 2021
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Systems and Control (eess.SY)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The recent offline reinforcement learning (RL) studies have achieved much progress to make RL usable in real-world systems by learning policies from pre-collected datasets without environment interaction. Unfortunately, existing offline RL methods still face many practical challenges in real-world system control tasks, such as computational restriction during agent training and the requirement of extra control flexibility. The model-based planning framework provides an attractive alternative. However, most model-based planning algorithms are not designed for offline settings. Simply combining the ingredients of offline RL with existing methods either provides over-restrictive planning or leads to inferior performance. We propose a new light-weighted model-based offline planning framework, namely MOPP, which tackles the dilemma between the restrictions of offline learning and high-performance planning. MOPP encourages more aggressive trajectory rollout guided by the behavior policy learned from data, and prunes out problematic trajectories to avoid potential out-of-distribution samples. Experimental results show that MOPP provides competitive performance compared with existing model-based offline planning and RL approaches.
description: Accepted in IJCAI-ECAI 22
Fission fragment distributions of neutron-rich nuclei based on Langevin calculations: toward r-process simulations
Creators: name: Okubayashi, Mizuki
name: Tanaka, Shoya
name: Aritomo, Yoshihiro
name: Ishizaki, Shoma
name: Amano, Shota
name: Nishimura, Nobuya
Publisher: name: arXiv
Year: 2021
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The nuclear fission of very neuron-rich nuclei related to the r-process is essential for the termination of nucleosynthesis flows on the nuclear chart and the final abundances. Nevertheless, most of the available fission data for the r-process calculations are based on theory predictions, including phenomenological treatments. In this study, we calculated a series of nuclear fission distribution for neutron-rich nuclei away from the beta-stability line. As most of these nuclei are experimentally unknown, we are based on theoretical calculations based on the dynamical fission model with the Langevin method. We performed fission distribution calculations for neutron-rich actinoid nuclei, applicable to the r-process nucleosynthesis simulations. In the present paper, we compared the obtained mass and charge distributions with experimental data. We also show the results of the systematic behaviour of mass distribution for neutron-rich U and Fm isotopes.
description: 6 pages, 5 figures, to be published in the conference proceedings of "Symposium on Nuclear Data 2020"
La musica oltre lo schermo e l’editoria degli anni Cinquanta*
Creators: name: Cosci, Marco
Publisher: name: Pavia University Press - Edizioni dell'Università degli Studi di Pavia
Year: 2020

description: Che la musica giochi un ruolo cruciale nell’economia narrativa di un film è cosa nota. Che cosa succede però quando la musica esce dalla sala di proiezione? Quali forme assume senza le immagini in movimento? Come si trasformano le sue strategie di consumo? Il contributo mette a fuoco questi processi focalizzando in particolare l’attenzione sull’editoria musicale nel corso degli anni Cinquanta. Attraverso l’esame di alcuni casi significativi, sono discusse le modalità di presentazione del film attraverso le componenti paratestuali degli spartiti. Si analizzano poi le tipologie musicali adottate, mostrando le dirette connessioni con il coevo paesaggio sonoro popular. Si riflette infine sui processi di riappropriazione da parte del pubblico del testo filmico attraverso il medium musicale. Lo studio di questi testimoni getta infatti nuova luce sul consolidamento della memoria audio-visiva del film oltre lo schermo e sulla costruzione di nuovi spazi di consumo, oscillando tra la fruizione intima domestica fino alle nuove forme di socializzazione condivisa nei locali da ballo.
description: Philomusica on-line, Vol 18, N° 1 (2019)
SNAP Participants Are More Likely To Leave the Program When Local Labor Markets Improve
Creators: name: Scherpf  Erik
name: Scherpf  Erik
Publisher: name: Unknown
Year: 2019
Subjects: Consumer/Household Economics
Food Consumption/Nutrition/Food Safety
Food Security and Poverty
Health Economics and Policy

description: Using 2007-12 administrative SNAP records for New York counties, ERS and Census Bureau researchers investigated the impact of local labor market conditions on the likelihood that SNAP recipients leave the program. The researchers found that a 1-percent increase in county employment resulted in a nearly four-fold increase in the likelihood that an adult recipient would leave the program.
Automating Speedrun Routing: Overview and Vision
Creators: name: Groß, Matthias
name: Zühlke, Dietlind
name: Naujoks, Boris
Publisher: name: arXiv
Year: 2021
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Speedrunning in general means to play a video game fast, i.e. using all means at one's disposal to achieve a given goal in the least amount of time possible. To do so, a speedrun must be planned in advance, or routed, as referred to by the community. This paper focuses on discovering challenges and defining models needed when trying to approach the problem of routing algorithmically. To do so, this paper is split in two parts. The first part provides an overview of relevant speedrunning literature, extracting vital information and formulating criticism. Important categorizations are pointed out and a nomenclature is built to support professional discussion. The second part of this paper then refers to the actual speedrun routing optimization problem. Different concepts of graph representations are presented and their potential is discussed. Visions both for problem modeling as well as solving are presented and assessed regarding suitability and expected challenges. Finally, a first assessment of the applicability of existing optimization methods to the defined problem is made, including metaheuristics/EA and Deep Learning methods.
description: 16 pages. This preprint has not undergone peer review (when applicable) or any post-submission improvements or corrections. The Version of Record of this contribution is published in Applications of Evolutionary Computation, EvoApplications 2022; Lecture Notes in Computer Science, vol 13224, and is available online at https://doi.org/10.1007/978-3-031-02462-7_30
Nonlinear signal transduction network with multistate
Creators: name: Jiang, Han-Yu
name: He, Jun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Molecular Networks (q-bio.MN)
subject: Biological Physics (physics.bio-ph)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: Signal transduction is an important and basic mechanism to cell life activities. The stochastic state transition of receptor induces the release of signaling molecular, which triggers the state transition of other receptors. It constructs a nonlinear sigaling network, and leads to robust switchlike properties which are critical to biological function. Network architectures and state transitions of receptor affect the performance of this biological network. In this work, we perform a study of nonlinear signaling on biological polymorphic network by analyzing network dynamics of the Ca$^{2+}$ induced Ca$^{2+}$ release mechanism, where fast and slow processes are involved and the receptor has four conformational states. Three types of networks, Erdös-Rényi network, Watts-Strogatz network and BaraBási-Albert network, are considered with different parameters. The dynamics of the biological networks exhibit different patterns at different time scales. At short time scale, the second open state is essential to reproduce the quasi-bistable regime, which emerges at a critical strength of connection for all three states involved in the fast processes and disappears at another critical point. The pattern at short time scale is not sensitive to the network architecture. At long time scale, only monostable regime is observed, and difference of network architectures affects the results more seriously. Our finding identifies features of nonlinear signaling networks with multistate that may underlie their biological function.
description: 12 pages, 7 figures
Pockets of Power: A Look into Women's Pockets and Agency in the 17th to 19th Century
Creators: Qureshi, Iman
Publisher: name: University of Alberta Library
Year: 2023

The topic of women's pockets often go overlooked, in this paper I will focus on pockets from 1600-1800 in Britain. I will consider the importance of pockets in women's dress and the question of ‘what relationships did women have with their clothing?’ This will include the origin and history of tie-on pockets in women's garments. I’ll delve deeper into the representation and symbolism that these pockets had and how it contributed to class and social rank. What they were used for, how they were decorated, the care put into these pockets by the women who wore these accessories. I will also consider the importance of the decor and care and what this item might have meant for the women of the time. This study will cover the making, wearing and collecting of different pieces. The study will also be extended to accessories, such as gloves and other smaller pieces. I will contrast these garments to middle-class and elite men and their styles of dress, including the gender differences, one of the main ones being that men's clothing did not need pockets tied onto them. Rather, gentlemen’s garments were tailored with many pockets, and this raises questions. What did something like this mean in a societal context? Objects also played an important role, acting as a tie to the material world, individualizing us and becoming extensions of ourselves. This research will reveal all the ways pockets served as important objects in changing the lives of women.
Use of new diagnostic tools for the detection of Pantoea stewartii subsp. stewartii from plants and seeds
Creators: name: Olivier, Valerie
Publisher: name: Zenodo
Year: 2020
Subjects: Euphresco, plant health, diagnostics, Pantoea stewartii subsp. stewartii, Pantoea stewartii subsp. indologenes

description: Slide of the Euphresco project 2018-A-275 'Use of new diagnostic tools for the detection of Pantoea stewartii subsp. stewartii from plants and seeds'
description: Project funded through the Euphresco network
Intermediate Polaronic Charge Transport in Organic Crystals from a Many-Body First-Principles Approach
Creators: name: Chang, Benjamin K.
name: Zhou, Jin-Jian
name: Lee, Nien-En
name: Bernardi, Marco
Publisher: name: arXiv
Year: 2021
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Predicting the electrical properties of organic molecular crystals (OMCs) is challenging due to their complex crystal structures and electron-phonon (e-ph) interactions. Charge transport in OMCs is conventionally categorized into two limiting regimes $-$ band transport, characterized by weak e-ph interactions, and charge hopping due to localized polarons formed by strong e-ph interactions. However, between these two limiting cases there is a less well understood intermediate regime where polarons are present but transport does not occur via hopping. Here we show a many-body first-principles approach that can accurately predict the carrier mobility in OMCs in the intermediate regime and shed light on its microscopic origin. Our approach combines a finite-temperature cumulant method to describe strong e-ph interactions with Green-Kubo transport calculations. We apply this parameter-free framework to naphthalene crystal, demonstrating electron mobility predictions within a factor of 1.5$-$2 of experiment between 100$-$300 K. Our analysis reveals that electrons couple strongly with both inter- and intramolecular phonons in the intermediate regime, as evidenced by the formation of a broad polaron satellite peak in the electron spectral function and the failure of the Boltzmann equation. Our study advances quantitative modeling of charge transport in complex organic crystals.
description: 10 pages, 6 figures