1,834 results on '"DELLA VECCHIA A"'
Search Results
2. Influence of dry density and wetting–drying cycles on the soil–water retention curve of compacted loess: experimental data and modeling
- Author
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Yuan, Kangze, Ni, Wankui, Della Vecchia, Gabriele, Lü, Xiangfei, Wang, Haiman, and Nie, Yongpeng
- Published
- 2024
- Full Text
- View/download PDF
3. Measuring reconceptualization and reprioritization during France’s first COVID-19-related lockdown in women with and without a history of cancer: an adaptation of the SeiQol-DW and PGI
- Author
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Bauquier, Charlotte, Ginguené, Stéphéline, Leroy, Tanguy, Doumergue, Marjolaine, Lebrun, Natacha, Della Vecchia, Claire, Mabire-Yon, Renaud, Leveaux, Sarah, Sagaon-Teyssier, Luis, and Préau, Marie
- Published
- 2024
- Full Text
- View/download PDF
4. A FAIR File Format for Mathematical Software
- Author
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Della Vecchia, Antony, Joswig, Michael, and Lorenz, Benjamin
- Subjects
Computer Science - Mathematical Software - Abstract
We describe a generic JSON based file format which is suitable for computations in computer algebra. This is implemented in the computer algebra system OSCAR, but we also indicate how it can be used in a different context.
- Published
- 2023
5. A model for efficient dynamical ranking in networks
- Author
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Della Vecchia, Andrea, Neocosmos, Kibidi, Larremore, Daniel B., Moore, Cristopher, and De Bacco, Caterina
- Subjects
Physics - Physics and Society ,Computer Science - Machine Learning ,Computer Science - Social and Information Networks ,Physics - Data Analysis, Statistics and Probability - Abstract
We present a physics-inspired method for inferring dynamic rankings in directed temporal networks - networks in which each directed and timestamped edge reflects the outcome and timing of a pairwise interaction. The inferred ranking of each node is real-valued and varies in time as each new edge, encoding an outcome like a win or loss, raises or lowers the node's estimated strength or prestige, as is often observed in real scenarios including sequences of games, tournaments, or interactions in animal hierarchies. Our method works by solving a linear system of equations and requires only one parameter to be tuned. As a result, the corresponding algorithm is scalable and efficient. We test our method by evaluating its ability to predict interactions (edges' existence) and their outcomes (edges' directions) in a variety of applications, including both synthetic and real data. Our analysis shows that in many cases our method's performance is better than existing methods for predicting dynamic rankings and interaction outcomes., Comment: 17 pages, 9 figures
- Published
- 2023
6. AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents
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Mathieu, Timothée, Della Vecchia, Riccardo, Shilova, Alena, Centa, Matheus Medeiros, Kohler, Hector, Maillard, Odalric-Ambrym, and Preux, Philippe
- Subjects
Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Recently, the scientific community has questioned the statistical reproducibility of many empirical results, especially in the field of machine learning. To solve this reproducibility crisis, we propose a theoretically sound methodology to compare the overall performance of multiple algorithms with stochastic returns. We exemplify our methodology in Deep RL. Indeed, the performance of one execution of a Deep RL algorithm is random. Therefore, several independent executions are needed to accurately evaluate the overall performance. When comparing several RL algorithms, a major question is how many executions must be made and how can we ensure that the results of such a comparison are theoretically sound. When comparing several algorithms at once, the error of each comparison may accumulate and must be taken into account with a multiple tests procedure to preserve low error guarantees. We introduce AdaStop, a new statistical test based on multiple group sequential tests. When comparing algorithms, AdaStop adapts the number of executions to stop as early as possible while ensuring that we have enough information to distinguish algorithms that perform better than the others in a statistical significant way. We prove theoretically and empirically that AdaStop has a low probability of making a (family-wise) error. Finally, we illustrate the effectiveness of AdaStop in multiple Deep RL use-cases, including toy examples and challenging Mujoco environments. AdaStop is the first statistical test fitted to this sort of comparisons: AdaStop is both a significant contribution to statistics, and a major contribution to computational studies performed in reinforcement learning and in other domains. To summarize our contribution, we introduce AdaStop, a formally grounded statistical tool to let anyone answer the practical question: ``Is my algorithm the new state-of-the-art?''.
- Published
- 2023
7. Snacks: a fast large-scale kernel SVM solver
- Author
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Tanji, Sofiane, Della Vecchia, Andrea, Glineur, François, and Villa, Silvia
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Computer Science - Machine Learning ,Mathematics - Optimization and Control - Abstract
Kernel methods provide a powerful framework for non parametric learning. They are based on kernel functions and allow learning in a rich functional space while applying linear statistical learning tools, such as Ridge Regression or Support Vector Machines. However, standard kernel methods suffer from a quadratic time and memory complexity in the number of data points and thus have limited applications in large-scale learning. In this paper, we propose Snacks, a new large-scale solver for Kernel Support Vector Machines. Specifically, Snacks relies on a Nystr\"om approximation of the kernel matrix and an accelerated variant of the stochastic subgradient method. We demonstrate formally through a detailed empirical evaluation, that it competes with other SVM solvers on a variety of benchmark datasets., Comment: 6 pages
- Published
- 2023
8. Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
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Della Vecchia, Riccardo and Basu, Debabrota
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
Endogeneity, i.e. the dependence of noise and covariates, is a common phenomenon in real data due to omitted variables, strategic behaviours, measurement errors etc. In contrast, the existing analyses of stochastic online linear regression with unbounded noise and linear bandits depend heavily on exogeneity, i.e. the independence of noise and covariates. Motivated by this gap, we study the over- and just-identified Instrumental Variable (IV) regression, specifically Two-Stage Least Squares, for stochastic online learning, and propose to use an online variant of Two-Stage Least Squares, namely O2SLS. We show that O2SLS achieves $\mathcal O(d_{x}d_{z}\log^2 T)$ identification and $\widetilde{\mathcal O}(\gamma \sqrt{d_{z} T})$ oracle regret after $T$ interactions, where $d_{x}$ and $d_{z}$ are the dimensions of covariates and IVs, and $\gamma$ is the bias due to endogeneity. For $\gamma=0$, i.e. under exogeneity, O2SLS exhibits $\mathcal O(d_{x}^2 \log^2 T)$ oracle regret, which is of the same order as that of the stochastic online ridge. Then, we leverage O2SLS as an oracle to design OFUL-IV, a stochastic linear bandit algorithm to tackle endogeneity. OFUL-IV yields $\widetilde{\mathcal O}(\sqrt{d_{x}d_{z}T})$ regret that matches the regret lower bound under exogeneity. For different datasets with endogeneity, we experimentally show efficiencies of O2SLS and OFUL-IV.
- Published
- 2023
9. Referrals for rheumatologic evaluation following a positive antinuclear antibody test result. A cross-sectional single center Brazilian study
- Author
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Leonardo Borgato Della Vecchia, Caio Delano Campos Oliveira Assis, Fernando de Oliveira Salatiel, Maria Thereza Santos Cirino, Maria Eduarda Vogel Scarpante, Vanessa Monteiro Oliveira, Letícia Pedroso Meneghin, Maria Júlia Gonçalves Silva, Victória Ferini dos Santos, Natália Pavoni Catardo, Isabela Pulini Nemesio, Lívia Loamí Ruyz Jorge de Paula, Carolina Borges Garcia Sasdelli, and Ana Beatriz Santos Bacchiega
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Rheumatology ,Referral ,Systemic lupus erythematosus ,Antinuclear antibody ,Diseases of the musculoskeletal system ,RC925-935 ,Immunologic diseases. Allergy ,RC581-607 - Abstract
Abstract Background In general, patients are referred for rheumatological evaluation due to isolated laboratory abnormalities, especially antinuclear antibody (ANA) positivity, with the risk of more severe patients remaining on the waiting list for longer than desired. The aim of this study was to analyze the demographic, clinical, and laboratory information of patients referred to a specialized rheumatological care unit because of positive antinuclear antibody. Methods This is a retrospective study of 99 out of 1670 patients seen by the same rheumatologist between 01/01/2011 and 01/01/2019. Patients whose referrals were exclusively due to the ANA test result and the specialist’s final diagnosis being “abnormal finding of serum immunological test” (ICD-10 R769) were included. Sociodemographic, clinical, and laboratory information were extracted from the consulting rheumatologist’s chart. Descriptive statistics were used for data analysis. Results A total of 99 patients were included, most of whom were female (84.8%) with a median age of 49 years. At the moment of specialist’s appointment, 97 patients (97.9%) repeated the ANA test, and 77 patients remained positive. Of these, only 35 (35.35%) were in a high titer range (greater than or equal to 1:320). Complete blood count for cytopenia’s investigation was not performed in a high percentage of patients (22.2%), as well as urinalysis (31.3%). In addition, more than 70% of patients score 0 to 1 classification criteria for Systemic Lupus Erythematosus, according to SLE - ACR 1987 (American College of Rheumatology) and SLICC 2012 (Systemic Lupus International Collaborating Clinics). Conclusions Most patients are still referred for specialized evaluation due to the misinterpretation of laboratory tests that were inappropriately requested in patients without clinical evidence of autoimmune rheumatic disease.
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- 2024
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10. Regularized ERM on random subspaces
- Author
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Della Vecchia, Andrea, De Vito, Ernesto, and Rosasco, Lorenzo
- Subjects
Statistics - Machine Learning ,Computer Science - Machine Learning ,Mathematics - Statistics Theory - Abstract
We study a natural extension of classical empirical risk minimization, where the hypothesis space is a random subspace of a given space. In particular, we consider possibly data dependent subspaces spanned by a random subset of the data, recovering as a special case Nystrom approaches for kernel methods. Considering random subspaces naturally leads to computational savings, but the question is whether the corresponding learning accuracy is degraded. These statistical-computational tradeoffs have been recently explored for the least squares loss and self-concordant loss functions, such as the logistic loss. Here, we work to extend these results to convex Lipschitz loss functions, that might not be smooth, such as the hinge loss used in support vector machines. This unified analysis requires developing new proofs, that use different technical tools, such as sub-gaussian inputs, to achieve fast rates. Our main results show the existence of different settings, depending on how hard the learning problem is, for which computational efficiency can be improved with no loss in performance., Comment: Submission withdrawn. Readers should please refer to arXiv:2006.10016
- Published
- 2022
11. A FAIR File Format for Mathematical Software.
- Author
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Antony Della Vecchia, Michael Joswig, and Benjamin Lorenz
- Published
- 2024
- Full Text
- View/download PDF
12. A FAIR File Format for Mathematical Software
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Della Vecchia, Antony, Joswig, Michael, Lorenz, Benjamin, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Buzzard, Kevin, editor, Dickenstein, Alicia, editor, Eick, Bettina, editor, Leykin, Anton, editor, and Ren, Yue, editor
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- 2024
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13. Sex matters: The impact of oxytocin on healthy conditions and psychiatric disorders
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Marazziti, Donatella, Carter, C Sue, Carmassi, Claudia, Della Vecchia, Alessandra, Mucci, Federico, Pagni, Giovanni, Carbone, Manuel G, Baroni, Stefano, Giannaccini, Gino, Palego, Lionella, and Dell’Osso, Liliana
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Post-Traumatic Stress Disorder (PTSD) ,Serious Mental Illness ,Neurosciences ,Clinical Research ,Brain Disorders ,Anxiety Disorders ,Major Depressive Disorder ,Depression ,Mental Health ,1.1 Normal biological development and functioning ,2.3 Psychological ,social and economic factors ,1.2 Psychological and socioeconomic processes ,Aetiology ,Underpinning research ,Mental health ,Healthy conditions ,Humans ,Major depression ,Obsessive-compulsive disorder ,Oxytocin ,Post-traumatic stress disorder ,Sex - Abstract
Oxytocin (OT) is involved in the regulation of physiological processes and emotional states, with increasing evidence for its beneficial actions being mediated by the autonomic and immune systems. Growing evidence suggests that OT plays a role in the pathophysiology of different psychiatric disorders. Given the limited information in humans the aim of this study was to retrospectively explore plasma OT levels in psychiatric patients, particularly focusing on sex-related differences, as compared with healthy controls. The patients studied here were divided into three groups diagnosed with obsessive-compulsive disorder (OCD), post-traumatic stress disorder (PTSD) or major depressive disorder (MDD). Plasma OT levels were significantly different between healthy men and women, with the latter showing higher values, while none of the three psychiatric groups showed sex-related differences in the parameters measured here. The intergroup analyses showed that the OT levels were significantly higher in OCD, lower in PTSD and even more reduced in MDD patients than in healthy subjects. These differences were also confirmed when gender was considered, with the exception of PTSD men, in whom OT levels were similar to those of healthy men. The present results indicated that OT levels were higher amongst healthy women than men, while a sex difference was less apparent or reversed in psychiatric patients. Reductions in sex differences in psychopathologies may be related to differential vulnerabilities in processes associated with basic adaptive and social functions.
- Published
- 2023
14. Entropy Regularized Reinforcement Learning with Cascading Networks
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Della Vecchia, Riccardo, Shilova, Alena, Preux, Philippe, and Akrour, Riad
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Computer Science - Machine Learning - Abstract
Deep Reinforcement Learning (Deep RL) has had incredible achievements on high dimensional problems, yet its learning process remains unstable even on the simplest tasks. Deep RL uses neural networks as function approximators. These neural models are largely inspired by developments in the (un)supervised machine learning community. Compared to these learning frameworks, one of the major difficulties of RL is the absence of i.i.d. data. One way to cope with this difficulty is to control the rate of change of the policy at every iteration. In this work, we challenge the common practices of the (un)supervised learning community of using a fixed neural architecture, by having a neural model that grows in size at each policy update. This allows a closed form entropy regularized policy update, which leads to a better control of the rate of change of the policy at each iteration and help cope with the non i.i.d. nature of RL. Initial experiments on classical RL benchmarks show promising results with remarkable convergence on some RL tasks when compared to other deep RL baselines, while exhibiting limitations on others.
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- 2022
15. Injury-specific factors in the cerebrospinal fluid regulate astrocyte plasticity in the human brain
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Sirko, Swetlana, Schichor, Christian, Della Vecchia, Patrizia, Metzger, Fabian, Sonsalla, Giovanna, Simon, Tatiana, Bürkle, Martina, Kalpazidou, Sofia, Ninkovic, Jovica, Masserdotti, Giacomo, Sauniere, Jean-Frederic, Iacobelli, Valentina, Iacobelli, Stefano, Delbridge, Claire, Hauck, Stefanie M., Tonn, Jörg-Christian, and Götz, Magdalena
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- 2023
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16. AdaTask: Adaptive Multitask Online Learning
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Laforgue, Pierre, Della Vecchia, Andrea, Cesa-Bianchi, Nicolò, and Rosasco, Lorenzo
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Computer Science - Machine Learning - Abstract
We introduce and analyze AdaTask, a multitask online learning algorithm that adapts to the unknown structure of the tasks. When the $N$ tasks are stochastically activated, we show that the regret of AdaTask is better, by a factor that can be as large as $\sqrt{N}$, than the regret achieved by running $N$ independent algorithms, one for each task. AdaTask can be seen as a comparator-adaptive version of Follow-the-Regularized-Leader with a Mahalanobis norm potential. Through a variational formulation of this potential, our analysis reveals how AdaTask jointly learns the tasks and their structure. Experiments supporting our findings are presented., Comment: The proof of Theorem 3 is wrong: in the display equation below Equation (22), bottom of page 15, the gradient of $\phi_{t+1}$ is missing a factor $1/(\alpha\eta_t)$
- Published
- 2022
17. Lo scandalo dell'incommensurabilità tra α ́λογος e α ́ρρητος (The scandal of incommensurability between α ́λογος e α ́ρρητος)
- Author
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Giovanna Della Vecchia
- Subjects
Philosophy. Psychology. Religion ,Social Sciences - Abstract
Il presente lavoro intende ricostruire il percorso storico-epistemologico che ha condotto, nell’antichità, alla scoperta dell’esistenza delle grandezze incommensurabili.Non si sa con esattezza quando e come sia stata fatta tale importante scoperta e anche tra i commentatori antichi la questione sembra che abbia dato origine a discussioni e congetture varie; ancora oggi si può affermare che nell’ambito della storia della matematica il dibattito sia ancora aperto. È comunque fuori di dubbio che la scoperta sia stata fatta in seno agli sviluppi della matematica greca.This paper seeks to reconstruct the historical-epistemological path that led, in antiquity, to the discovery of the existence of incommensurable quantities.It is not known exactly when and how this important discovery was made; however, there is no doubt that the discovery was made within the developments of Greek mathematics.
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- 2024
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18. Erdafitinib-associated retinal alterations and rapid onset bilateral white cataracts
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Antoine G. Sassine, Yavuz Cakir, Lyndsey Della Vecchia, and Justis P. Ehlers
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Erdafitinib ,Fibroblast growth factor receptor inhibitor ,Drug reactions ,Cataracts ,Ophthalmology ,RE1-994 - Abstract
Purpose: This report aims to highlight the wide spectrum of ophthalmic adverse events associated with erdafitinib, a fibroblast growth factor inhibitor that blocks activation of the mitogen-activated protein kinase kinase (MAPK/MEK) cascade. The purpose of this report is to describe a case of erdafitinib-associated bilateral outer retinal alterations in the MEK-associated retinopathy spectrum and rapid onset bilateral total cataracts following a 20-month course of erdafitinib therapy. Observations: A 69 year old male with metastatic bladder cancer presented 47 days following treatment initiation with daily erdafitinib (8-mg) with mild new subretinal fluid and minimal associated subretinal debris in the left eye and accentuation/thickening of the interdigitation zone in the right eye. Over the course of treatment, improvements were noted, particularly with erdafitinib dose reduction. At 20 months, both eyes developed rapidly progressive mature cataracts with significant visual changes, necessitating bilateral cataract extraction. Conclusions and importance: The potential stability of moderate outer retinal changes (i.e., ellipsoid zone/interdigitation zone, subretinal fluid) while continuing erdafitinib therapy is highlighted in this report. In addition, the importance of continued ophthalmic surveillance is emphasized given the possible association of anterior segment adverse events with long-term erdafitinib use.
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- 2024
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19. Delving into the Complexity of Valproate-Induced Autism Spectrum Disorder: The Use of Zebrafish Models
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Diletta Camussi, Valentina Naef, Letizia Brogi, Stefania Della Vecchia, Maria Marchese, Ferdinando Nicoletti, Filippo M. Santorelli, and Rosario Licitra
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autism spectrum disorder ,valproate ,valproic acid ,zebrafish ,autism models ,microglia ,Cytology ,QH573-671 - Abstract
Autism spectrum disorder (ASD) is a multifactorial neurodevelopmental condition with several identified risk factors, both genetic and non-genetic. Among these, prenatal exposure to valproic acid (VPA) has been extensively associated with the development of the disorder. The zebrafish, a cost- and time-effective model, is useful for studying ASD features. Using validated VPA-induced ASD zebrafish models, we aimed to provide new insights into VPA exposure effects during embryonic development and to identify new potential biomarkers associated with ASD-like features. Dose–response analyses were performed in vivo to study larval phenotypes and mechanisms underlying neuroinflammation, mitochondrial dysfunction, oxidative stress, microglial cell status, and motor behaviour. Wild-type and transgenic Tg(mpeg1:EGFP) zebrafish were water-exposed to VPA doses (5 to 500 µM) from 6 to 120 h post-fertilisation (hpf). Embryos and larvae were monitored daily to assess survival and hatching rates, and numerous analyses and tests were conducted from 24 to 120 hpf. VPA doses higher than 50 µM worsened survival and hatching rates, while doses of 25 µM or more altered morphology, microglial status, and larval behaviours. VPA 50 µM also affected mRNA expression of inflammatory cytokines and neurogenesis-related genes, mitochondrial respiration, and reactive oxygen species accumulation. The study confirmed that VPA alters brain homeostasis, synaptic interconnections, and neurogenesis-related signalling pathways, contributing to ASD aetiopathogenesis. Further studies are essential to identify novel ASD biomarkers for developing new drug targets and tailored therapeutic interventions for ASD.
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- 2024
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20. PINN-based approach to the consolidation analysis of visco-elastic soft soil around twin tunnels
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Xie, Senlin, Hu, Anfeng, Xiao, Zhirong, Mariani, Stefano, and Della Vecchia, Gabriele
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- 2024
- Full Text
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21. Cooperative Online Learning with Feedback Graphs
- Author
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Cesa-Bianchi, Nicolò, Cesari, Tommaso R., and Della Vecchia, Riccardo
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
We study the interplay between communication and feedback in a cooperative online learning setting, where a network of communicating agents learn a common sequential decision-making task through a feedback graph. We bound the network regret in terms of the independence number of the strong product between the communication network and the feedback graph. Our analysis recovers as special cases many previously known bounds for cooperative online learning with expert or bandit feedback. We also prove an instance-based lower bound, demonstrating that our positive results are not improvable except in pathological cases. Experiments on synthetic data confirm our theoretical findings.
- Published
- 2021
22. Finding Stable Matchings in PhD Markets with Consistent Preferences and Cooperative Partners
- Author
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Mordig, Maximilian, Della Vecchia, Riccardo, Cesa-Bianchi, Nicolò, and Schölkopf, Bernhard
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Computer Science - Computer Science and Game Theory ,Economics - Theoretical Economics ,Mathematics - Combinatorics - Abstract
We introduce a new algorithm for finding stable matchings in multi-sided matching markets. Our setting is motivated by a PhD market of students, advisors, and co-advisors, and can be generalized to supply chain networks viewed as $n$-sided markets. In the three-sided PhD market, students primarily care about advisors and then about co-advisors (consistent preferences), while advisors and co-advisors have preferences over students only (hence they are cooperative). A student must be matched to one advisor and one co-advisor, or not at all. In contrast to previous work, advisor-student and student-co-advisor pairs may not be mutually acceptable (e.g., a student may not want to work with an advisor or co-advisor and vice versa). We show that three-sided stable matchings always exist, and present an algorithm that, in time quadratic in the market size (up to log factors), finds a three-sided stable matching using any two-sided stable matching algorithm as matching engine. We illustrate the challenges that arise when not all advisor-co-advisor pairs are compatible. We then generalize our algorithm to $n$-sided markets with quotas and show how they can model supply chain networks. Finally, we show how our algorithm outperforms the baseline given by [Danilov, 2003] in terms of both producing a stable matching and a larger number of matches on a synthetic dataset.
- Published
- 2021
23. Two-Sided Matching Markets in the ELLIS 2020 PhD Program
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Mordig, Maximilian, Della Vecchia, Riccardo, Cesa-Bianchi, Nicolò, and Schölkopf, Bernhard
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Computer Science - Computer Science and Game Theory ,Economics - Theoretical Economics ,Mathematics - Combinatorics - Abstract
The ELLIS PhD program is a European initiative that supports excellent young researchers by connecting them to leading researchers in AI. In particular, PhD students are supervised by two advisors from different countries: an advisor and a co-advisor. In this work we summarize the procedure that, in its final step, matches students to advisors in the ELLIS 2020 PhD program. The steps of the procedure are based on the extensive literature of two-sided matching markets and the college admissions problem [Knuth and De Bruijn, 1997, Gale and Shapley, 1962, Rothand Sotomayor, 1992]. We introduce PolyGS, an algorithm for the case of two-sided markets with quotas on both sides (also known as many-to-many markets) which we use throughout the selection procedure of pre-screening, interview matching and final matching with advisors. The algorithm returns a stable matching in the sense that no unmatched persons prefer to be matched together rather than with their current partners (given their indicated preferences). Roth [1984] gives evidence that only stable matchings are likely to be adhered to over time. Additionally, the matching is student-optimal. Preferences are constructed based on the rankings each side gives to the other side and the overlaps of research fields. We present and discuss the matchings that the algorithm produces in the ELLIS 2020 PhD program.
- Published
- 2021
24. Cooperative Online Learning with Feedback Graphs.
- Author
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Nicolò Cesa-Bianchi, Tommaso Cesari, and Riccardo Della Vecchia
- Published
- 2024
25. Snacks: a fast large-scale kernel SVM solver.
- Author
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Sofiane Tanji, Andrea Della Vecchia, François Glineur, and Silvia Villa
- Published
- 2023
- Full Text
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26. Numerical Study on Bentonite Permeability Evolution upon Water Hydration
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Gramegna, Liliana, Charlier, Robert, Della Vecchia, Gabriele, Wu, Wei, Series Editor, Ferrari, Alessio, editor, Rosone, Marco, editor, Ziccarelli, Maurizio, editor, and Gottardi, Guido, editor
- Published
- 2023
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27. An Elastoplastic Framework Accounting for Changes in Matric and Osmotic Suction in Unsaturated Non-expansive Clays
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Gramegna, Liliana, Abed, Ayman A., Sołowski, Wojciech T., Musso, Guido, Della Vecchia, Gabriele, Wu, Wei, Series Editor, Ferrari, Alessio, editor, Rosone, Marco, editor, Ziccarelli, Maurizio, editor, and Gottardi, Guido, editor
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- 2023
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28. One Phase vs Two-Phase Modelling of Infiltration Processes
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Aimar, Mauro, Della Vecchia, Gabriele, Musso, Guido, Wu, Wei, Series Editor, Ferrari, Alessio, editor, Rosone, Marco, editor, Ziccarelli, Maurizio, editor, and Gottardi, Guido, editor
- Published
- 2023
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29. An Efficient Algorithm for Cooperative Semi-Bandits
- Author
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Della Vecchia, Riccardo and Cesari, Tommaso
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Computer Science - Machine Learning ,Statistics - Machine Learning - Abstract
We consider the problem of asynchronous online combinatorial optimization on a network of communicating agents. At each time step, some of the agents are stochastically activated, requested to make a prediction, and the system pays the corresponding loss. Then, neighbors of active agents receive semi-bandit feedback and exchange some succinct local information. The goal is to minimize the network regret, defined as the difference between the cumulative loss of the predictions of active agents and that of the best action in hindsight, selected from a combinatorial decision set. The main challenge in such a context is to control the computational complexity of the resulting algorithm while retaining minimax optimal regret guarantees. We introduce Coop-FTPL, a cooperative version of the well-known Follow The Perturbed Leader algorithm, that implements a new loss estimation procedure generalizing the Geometric Resampling of Neu and Bart{\'o}k [2013] to our setting. Assuming that the elements of the decision set are k-dimensional binary vectors with at most m non-zero entries and $\alpha$ 1 is the independence number of the network, we show that the expected regret of our algorithm after T time steps is of order Q mkT log(k)(k$\alpha$ 1 /Q + m), where Q is the total activation probability mass. Furthermore, we prove that this is only $\sqrt$ k log k-away from the best achievable rate and that Coop-FTPL has a state-of-the-art T 3/2 worst-case computational complexity.
- Published
- 2020
30. Regularized ERM on random subspaces
- Author
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Della Vecchia, Andrea, Mourtada, Jaouad, De Vito, Ernesto, and Rosasco, Lorenzo
- Subjects
Statistics - Machine Learning ,Computer Science - Machine Learning - Abstract
We study a natural extension of classical empirical risk minimization, where the hypothesis space is a random subspace of a given space. In particular, we consider possibly data dependent subspaces spanned by a random subset of the data, recovering as a special case Nystr\"om approaches for kernel methods. Considering random subspaces naturally leads to computational savings, but the question is whether the corresponding learning accuracy is degraded. These statistical-computational tradeoffs have been recently explored for the least squares loss and self-concordant loss functions, such as the logistic loss. Here, we work to extend these results to convex Lipschitz loss functions, that might not be smooth, such as the hinge loss used in support vector machines. This extension requires developing new proofs, that use different technical tools. Our main results show the existence of different settings, depending on how hard the learning problem is, for which computational efficiency can be improved with no loss in performance. Theoretical results are illustrated with simple numerical experiments.
- Published
- 2020
31. Clustering of solutions in the symmetric binary perceptron
- Author
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Baldassi, Carlo, Della Vecchia, Riccardo, Lucibello, Carlo, and Zecchina, Riccardo
- Subjects
Condensed Matter - Disordered Systems and Neural Networks ,Statistics - Machine Learning - Abstract
The geometrical features of the (non-convex) loss landscape of neural network models are crucial in ensuring successful optimization and, most importantly, the capability to generalize well. While minimizers' flatness consistently correlates with good generalization, there has been little rigorous work in exploring the condition of existence of such minimizers, even in toy models. Here we consider a simple neural network model, the symmetric perceptron, with binary weights. Phrasing the learning problem as a constraint satisfaction problem, the analogous of a flat minimizer becomes a large and dense cluster of solutions, while the narrowest minimizers are isolated solutions. We perform the first steps toward the rigorous proof of the existence of a dense cluster in certain regimes of the parameters, by computing the first and second moment upper bounds for the existence of pairs of arbitrarily close solutions. Moreover, we present a non rigorous derivation of the same bounds for sets of $y$ solutions at fixed pairwise distances.
- Published
- 2019
- Full Text
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32. Stationary Strong Stackelberg Equilibrium in Discounted Stochastic Games.
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Víctor Bucarey López, Eugenio Della Vecchia, Alain Jean-Marie, and Fernando Ordóñez
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- 2023
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33. Kantorovich Version of Vector-Valued Shepard Operators
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Oktay Duman, Biancamaria Della Vecchia, and Esra Erkus-Duman
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multivariate approximation ,approximation of vector-valued functions ,Shepard operators ,Kantorovich operators ,matrix summability methods ,Cesàro summability ,Mathematics ,QA1-939 - Abstract
In the present work, in order to approximate integrable vector-valued functions, we study the Kantorovich version of vector-valued Shepard operators. We also display some applications supporting our results by using parametric plots of a surface and a space curve. Finally, we also investigate how nonnegative regular (matrix) summability methods affect the approximation.
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- 2024
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34. Beyond Pain Relief: Unveiling the Multifaceted Impact of Anti-CGRP/R mAbs on Comorbid Symptoms in Resistant Migraine Patients
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Alessandra Della Vecchia, Ciro De Luca, Lucrezia Becattini, Letizia Curto, Elena Ferrari, Gabriele Siciliano, Sara Gori, and Filippo Baldacci
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migraine disorders ,comorbidity ,depression ,anxiety ,fatigue ,allodynia ,Biology (General) ,QH301-705.5 - Abstract
The study aimed to evaluate the effects of monoclonal antibodies (mAbs) acting on the calcitonin gene-related peptide (CGRP) or its receptor (anti-CGRP/R mAbs) on migraine comorbidities of depression, anxiety, and fatigue in patients resistant to traditional therapies. The issue addressed in this study is pivotal to unveiling the role of this neurotransmitter beyond pain processing. We conducted an open-label prospective study assessing comorbidities in patients with high frequency (HFEM) and chronic migraine (CM), medication overuse headache (MOH), and resistance to traditional prophylaxis. All patients were treated with anti-CGRP/R mAbs for 3 months. Seventy-seven patients were enrolled with either HFEM (21%) or CM (79%) with or without MOH (56% and 44%, respectively). We identified 21 non-responders (27%) and 56 responders (73%), defined on the reduction ≥50% of headache frequency. The two groups were highly homogeneous for the investigated comorbidities. Disease severity in terms of headache frequency, migraine-related disability, and affective comorbid symptoms was reduced in both groups with different thresholds; allodynia and fatigue were ameliorated only in responders. We found that anti-CGRP/R antibodies improved pain together with affection, fatigue, and sensory sensitization in a cohort of migraine patients resistant to traditional prophylaxis. Our results offer novel perspectives on the early efficacy of anti-CGRP/R mAbs in difficult-to-treat patients focusing on clinical features other than pain relief.
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- 2024
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35. NOTCH1-Related Leukoencephalopathy: A Novel Variant and Literature Review
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Stefania Della Vecchia, Alessandra Tessa, Rosa Pasquariello, Luis Seabra, Yanick J. Crow, and Roberta Battini
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heterozygous NOTCH1 mutation ,leukoencephalopathy with calcifications and cysts ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
NOTCH1-related leukoencephalopathy is a new diagnostic entity linked to heterozygous gain-of-function variants in NOTCH1 that neuroradiologically show some overlap with the inflammatory microangiopathy Aicardi-Goutières syndrome (AGS). To report a 16-year-old boy harbouring a novel NOTCH1 mutation who presented neuroradiological features suggestive of enhanced type I interferon signalling. We describe five years of follow-up and review the current literature on NOTCH1-related leukoencephalopathy. Clinical evaluation, standardised scales (SPRS, SARA, CBCL, CDI-2:P, WISCH-IV and VABS-2) and neuroradiological studies were performed, as well as blood DNA analysis. For the literature review, a search was performed on Pubmed, Scopus and Web of Science up to December 2023 using the following text word search strategy: (NOTCH1) AND (leukoencephalopathy). Our patient presents clinical features consistent with other reported cases with NOTCH1 mutations but is among the minority of patients with an onset after infancy. During the five-year follow-up, we observed an increase in the severity of spasticity and ataxia. However, at the age of 16 years, our proband is still ambulatory. As for other reported patients, he manifests psychiatric features ranging from hyperactivity during childhood to anxiety and depression during adolescence. The neuroradiological picture remained essentially stable over five years. In addition to the typical findings of leukoencephalopathy with cysts and calcifications already described, we report the presence of T2-hyperintensity and T1-hypotensity of the transverse pontine fibres, enhancement in the periventricular white matter after gadolinium administration and decreased NAA and Cho peaks in the periventricular white matter on MRS. We identified a novel heterozygous variant in NOTCH1 (c.4788_4799dup), a frame insertion located in extracellular negative regulatory region (NRR)-domain as in previously published cases. Blood interferon signalling was not elevated compared to controls. This case provides further data on a new diagnostic entity, i.e., NOTCH1-related leukoencephalopathy. By describing a standardised five-year follow-up in one case and reviewing the other patients described to date, we outline recommendations relating to monitoring in this illness, emphasising the importance of psychiatric and gastroenterological surveillance alongside neurological and neuropsychological management. Studies are needed to better understand the factors influencing disease onset and severity, which are heterogeneous.
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- 2024
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36. Pluripotent Stem Cells as a Preclinical Cellular Model for Studying Hereditary Spastic Paraplegias
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Devid Damiani, Matteo Baggiani, Stefania Della Vecchia, Valentina Naef, and Filippo Maria Santorelli
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hereditary spastic paraplegia ,induced pluripotent stem cells ,pluripotent cells ,preclinical model ,cellular model ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
Hereditary spastic paraplegias (HSPs) comprise a family of degenerative diseases mostly hitting descending axons of corticospinal neurons. Depending on the gene and mutation involved, the disease could present as a pure form with limb spasticity, or a complex form associated with cerebellar and/or cortical signs such as ataxia, dysarthria, epilepsy, and intellectual disability. The progressive nature of HSPs invariably leads patients to require walking canes or wheelchairs over time. Despite several attempts to ameliorate the life quality of patients that have been tested, current therapeutical approaches are just symptomatic, as no cure is available. Progress in research in the last two decades has identified a vast number of genes involved in HSP etiology, using cellular and animal models generated on purpose. Although unanimously considered invaluable tools for basic research, those systems are rarely predictive for the establishment of a therapeutic approach. The advent of induced pluripotent stem (iPS) cells allowed instead the direct study of morphological and molecular properties of the patient’s affected neurons generated upon in vitro differentiation. In this review, we revisited all the present literature recently published regarding the use of iPS cells to differentiate HSP patient-specific neurons. Most studies have defined patient-derived neurons as a reliable model to faithfully mimic HSP in vitro, discovering original findings through immunological and –omics approaches, and providing a platform to screen novel or repurposed drugs. Thereby, one of the biggest hopes of current HSP research regards the use of patient-derived iPS cells to expand basic knowledge on the disease, while simultaneously establishing new therapeutic treatments for both generalized and personalized approaches in daily medical practice.
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- 2024
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37. Atraumatic Limping Child, a Challenge for Pediatricians: An Observational Age-Related Study in a Pediatric Emergency Department
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Sebastian Cristaldi, Alessandra Boni, Valentina Ferro, Antonio Musolino, Nicoletta Della Vecchia, Elena Boccuzzi, Elena Bellelli, Francesco Saverio Biagiarelli, Angelo Gabriele Aulisa, Marco Cirillo, Umberto Raucci, and Alberto Villani
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atraumatic ,limp ,child ,emergency ,pediatrics ,Pediatrics ,RJ1-570 - Abstract
Background: Atraumatic limping is a frequent cause of consultation in Pediatric Emergency Departments (PED) and often represents a challenge for pediatricians for its variability in etiology ranging from benign causes to potential crippling conditions. The aims of this research are to illustrate the clinical features of acute limping children (LC) and to identify the possible red flags that could help to make a diagnosis of severe pathologies. Methods: We carried out a retrospective study about non-traumatic limping children referred to the PED of Bambino Gesù Children’s Hospital over a 2-year period. We divided the cohort into three groups based on the patient’s age: toddlers, children and adolescents. We considered crippling conditions: oncologic etiologies, bone or neurological infections, epiphysiolysis, Perthes disease, Guillain Barrè syndrome and non-accidental injuries. Results: We analyzed 485 patients. At clinical evaluation, 19.5% of the patients presented at least one sign and/or symptom of red flags. Crippling conditions (6.2% of the total population) showed red flags in 36.7%. Transient synovitis of the hip was the most frequent diagnosis. We found crippling conditions in 30 patients, mostly represented by toddlers. Conclusions: Our data suggest that toddlers and patients presenting red flags should be evaluated with particular suspicion because they have an increased risk of underlying severe conditions.
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- 2024
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38. A Missed Celiac Artery Aneurysm Leading to Rupture: A Case Report
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Della Vecchia, Jason and Blazar, Eric
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celiac artery aneurysm ,abdominal pain ,neurofibromatosis - Abstract
Introduction: Abdominal pain is a common complaint seen in the emergency department (ED). We report a case of celiac artery aneurysm (CAA) in a male patient presenting with abdominal pain to the ED on two separate occasions, approximately 24 hours apart.Case Report: On the initial visit the patient was discharged with undifferentiated abdominal pain after computed tomography imaging and laboratory investigations. On the repeat visit he was found to have a rapidly expanding CAA with rupture. He became unstable requiring intubation, blood transfusions, and emergent transfer to a tertiary care center for surgical management where, unfortunately, he died hours after failed operative management.Conclusion: Although rare, abdominal pain caused by CAAs can rapidly progress to rupture and have a high mortality.
- Published
- 2020
39. Factors associated with post-stroke social participation: A quantitative study based on the ICF framework
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Della Vecchia, Claire, Préau, Marie, Haesebaert, Julie, Viprey, Marie, Rode, Gilles, Termoz, Anne, Dima, Alexandra, and Schott, Anne-Marie
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- 2023
- Full Text
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40. Hydro-mechanical behaviour of a cement–bentonite mixture along evaporation and water-uptake controlled paths
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Musso, Guido, Vespo, Vincenzo Sergio, Guida, Giulia, and Della Vecchia, Gabriele
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- 2023
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41. Analysis of the structural and environmental impacts of hydrophilic ZSM-5 molecular sieve on loess
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Yuan, Kangze, Li, Qingxiang, Ni, Wankui, Lü, Xiangfei, Della Vecchia, Gabriele, Wang, Haiman, and Nie, Yongpeng
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- 2023
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42. Design of hybrid-electric aircraft with fault-tolerance considerations
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MARCIELLO, Valerio, OREFICE, Francesco, NICOLOSI, Fabrizio, CILIBERTI, Danilo, and DELLA VECCHIA, Pierluigi
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- 2023
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43. Escitalopram alters local expression of noncanonical stress-related neuropeptides in the rat brain via NPS receptor signaling
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Piwowarczyk-Nowak, Aneta, Pałasz, Artur, Suszka-Świtek, Aleksandra, Della Vecchia, Alessandra, Grajoszek, Aniela, Krzystanek, Marek, and Worthington, John J.
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- 2022
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44. CUL4B-associated epilepsy: Report of a novel truncating variant promoting drug-resistant seizures and systematic review of the literature.
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Della Vecchia, Stefania, Lopergolo, Diego, Trovato, Rosanna, Pasquariello, Rosa, Ferrari, Anna Rita, and Bartolini, Emanuele
- Published
- 2023
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45. Erdafitinib-associated retinal alterations and rapid onset bilateral white cataracts
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Sassine, Antoine G., primary, Cakir, Yavuz, additional, Della Vecchia, Lyndsey, additional, and Ehlers, Justis P., additional
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- 2024
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46. Vector-Valued Shepard Processes: Approximation with Summability
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Oktay Duman and Biancamaria Della Vecchia
- Subjects
approximation of vector-valued functions ,Shepard operators ,matrix summability methods ,Cesàro method ,Mathematics ,QA1-939 - Abstract
In this work, vector-valued continuous functions are approximated uniformly on the unit hypercube by Shepard operators. If λ denotes the usual parameter of the Shepard operators and m is the dimension of the hypercube, then our results show that it is possible to obtain a uniform approximation of a continuous vector-valued function by these operators when λ≥m+1. By using three-dimensional parametric plots, we illustrate this uniform approximation for some vector-valued functions. Finally, the influence in approximation by regular summability processes is studied, and their motivation is shown.
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- 2023
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47. Novel COX11 Mutations Associated with Mitochondrial Disorder: Functional Characterization in Patient Fibroblasts and Saccharomyces cerevisiae
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Chenelle A. Caron-Godon, Stefania Della Vecchia, Alessandro Romano, Stefano Doccini, Flavio Dal Canto, Rosa Pasquariello, Anna Rubegni, Roberta Battini, Filippo Maria Santorelli, D. Moira Glerum, and Claudia Nesti
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COX11 mutation ,mitochondrial diseases ,yeast model ,COX11 protein structure ,Biology (General) ,QH301-705.5 ,Chemistry ,QD1-999 - Abstract
Genetic defects in the nuclear encoded subunits and assembly factors of cytochrome c oxidase (mitochondrial complex IV) are very rare and are associated with a wide variety of phenotypes. Biallelic pathogenic variants in the COX11 protein were previously identified in two unrelated children with infantile-onset mitochondrial encephalopathies. Through comprehensive clinical, genetic and functional analyses, here we report on a new patient harboring novel heterozygous variants in COX11, presenting with Leigh-like features, and provide additional experimental evidence for a direct correlation between COX11 protein expression and sensitivity to oxidative stress. To sort out the contribution of the single mutations to the phenotype, we employed a multi-faceted approach using Saccharomyces cerevisiae as a genetically manipulable system, and in silico structure-based analysis of human COX11. Our results reveal differential effects of the two novel COX11 mutations on yeast growth, respiration, and cellular redox status, as well as their potential impact on human protein stability and function. Strikingly, the functional deficits observed in patient fibroblasts are recapitulated in yeast models, validating the conservation of COX11’s role in mitochondrial integrity across evolutionarily distant organisms. This study not only expands the mutational landscape of COX11-associated mitochondrial disorders but also underscores the continued translational relevance of yeast models in dissecting complex molecular pathways.
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- 2023
- Full Text
- View/download PDF
48. Maximum downward slope of sleep slow waves as a potential marker of attention-deficit/hyperactivity disorder clinical phenotypes
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Fasano, Alessio, Biancardi, Carlo, Masi, Gabriele, Della Vecchia, Stefania, Frumento, Paolo, Mazzoni, Alberto, Falotico, Egidio, Faraguna, Ugo, and Sicca, Federico
- Published
- 2022
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49. Blocking soluble TNFα sensitizes HER2-positive breast cancer to trastuzumab through MUC4 downregulation and subverts immunosuppression
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Sofia Bruni, Florencia L Mauro, Cecilia J Proietti, Rosalia I Cordo-Russo, Martin A Rivas, Gloria Inurrigarro, Agustina Dupont, Dario Rocha, Elmer A Fernández, Ernesto Gil Deza, Daniel Lopez Della Vecchia, Sabrina Barchuk, Silvina Figurelli, David Lasso, Adrián D Friedrich, María C Santilli, María V Regge, Gabriel Lebersztein, Claudio Levit, Fabiana Anfuso, Teresa Castiglione, Patricia V Elizalde, Maria F Mercogliano, and Roxana Schillaci
- Subjects
Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Background The success of HER2-positive (HER2+) breast cancer treatment with trastuzumab, an antibody that targets HER2, relies on immune response. We demonstrated that TNFα induces mucin 4 (MUC4) expression, which shields the trastuzumab epitope on the HER2 molecule decreasing its therapeutic effect. Here, we used mouse models and samples from HER2+ breast cancer patients to unravel MUC4 participation in hindering trastuzumab effect by fostering immune evasion.Methods We used a dominant negative TNFα inhibitor (DN) selective for soluble TNFα (sTNFα) together with trastuzumab. Preclinical experiments were performed using two models of conditionally MUC4-silenced tumors to characterize the immune cell infiltration. A cohort of 91 patients treated with trastuzumab was used to correlate tumor MUC4 with tumor-infiltrating lymphocytes.Results In mice bearing de novo trastuzumab-resistant HER2+ breast tumors, neutralizing sTNFα with DN induced MUC4 downregulation. Using the conditionally MUC4-silenced tumor models, the antitumor effect of trastuzumab was reinstated and the addition of TNFα-blocking agents did not further decrease tumor burden. DN administration with trastuzumab modifies the immunosuppressive tumor milieu through M1-like phenotype macrophage polarization and NK cells degranulation. Depletion experiments revealed a cross-talk between macrophages and NK cells necessary for trastuzumab antitumor effect. In addition, tumor cells treated with DN are more susceptible to trastuzumab-dependent cellular phagocytosis. Finally, MUC4 expression in HER2+ breast cancer is associated with immune desert tumors.Conclusions These findings provide rationale to pursue sTNFα blockade combined with trastuzumab or trastuzumab drug conjugates for MUC4+ and HER2+ breast cancer patients to overcome trastuzumab resistance.
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- 2023
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50. Sex matters: The impact of oxytocin on healthy conditions and psychiatric disorders
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Donatella Marazziti, C. Sue Carter, Claudia Carmassi, Alessandra Della Vecchia, Federico Mucci, Giovanni Pagni, Manuel G. Carbone, Stefano Baroni, Gino Giannaccini, Lionella Palego, and Liliana Dell’Osso
- Subjects
Oxytocin ,Humans ,Sex ,Healthy conditions ,Obsessive-compulsive disorder ,Post-traumatic stress disorder ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 ,Psychology ,BF1-990 - Abstract
Oxytocin (OT) is involved in the regulation of physiological processes and emotional states, with increasing evidence for its beneficial actions being mediated by the autonomic and immune systems. Growing evidence suggests that OT plays a role in the pathophysiology of different psychiatric disorders. Given the limited information in humans the aim of this study was to retrospectively explore plasma OT levels in psychiatric patients, particularly focusing on sex-related differences, as compared with healthy controls. The patients studied here were divided into three groups diagnosed with obsessive-compulsive disorder (OCD), post-traumatic stress disorder (PTSD) or major depressive disorder (MDD). Plasma OT levels were significantly different between healthy men and women, with the latter showing higher values, while none of the three psychiatric groups showed sex-related differences in the parameters measured here. The intergroup analyses showed that the OT levels were significantly higher in OCD, lower in PTSD and even more reduced in MDD patients than in healthy subjects. These differences were also confirmed when gender was considered, with the exception of PTSD men, in whom OT levels were similar to those of healthy men. The present results indicated that OT levels were higher amongst healthy women than men, while a sex difference was less apparent or reversed in psychiatric patients. Reductions in sex differences in psychopathologies may be related to differential vulnerabilities in processes associated with basic adaptive and social functions.
- Published
- 2023
- Full Text
- View/download PDF
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