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De Bernardi

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Articles by De Bernardi

[2504.04848] Some remarks on almost locally uniformly rotund points

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By De Bernardi, Carlo Alberto, Jacopo Somaglia
| arXiv
arXiv:2504.04848 (math) View PDF HTML (experimental) Subjects: Functional Analysis (math.FA) MSC classes: 46B03, 46B20, 52A07 Cite as: arXiv:2504.04848 [math.FA] (or arXiv:2504.04848v1 [math.FA] for this version) https://doi.org/10.48550/arXiv.2504.04848 Submission history From: Jacopo Somaglia [ view email] [v1] Mon, 7 Apr 2025 09:03:25 UTC (11 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?)...
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Predation on eggs and larvae of the Japanese brown frog Rana japonica Boulenger, 1879 by the invasive crayfish Procambarus clarkii (Girard, 1852) (Decapoda: Astacidea: Cambaridae) under laboratory conditions

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By Nguyen Thanh, nguyễn thanh, Nguyễn thành, De Bernardi
| Oxford Academic Verified
We hypothesized that the North American invasive crayfish Procambarus clarkii (Girard, 1852) can negatively affect the populations of native frog species through predation. We conducted three laboratory experiments to examine whether P.
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Impact of Genomic and Clinical Factors on Outcome of Children ≥18 Months of Age with Stage 3 Neuroblastoma with Unfavorable Histology and without MYCN Amplification: A Children's Oncology Group (COG) Report

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By De Bernardi, Van Groningen, van Sluis
| Cancer Research Verified
Neuroblastoma is a malignancy of the sympathetic nervous system that is marked by biologic and clinical heterogeneity. Patients with neuroblastoma are classified as having low-, intermediate-, or high-risk disease based on clinical (age, clinical stage, histopathology) and biologic (amplification of the MYCN proto-oncogene, tumor cell ploidy) factors (1–5).
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Open innovation: status quo and quo vadis - an analysis of a research field

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By De Bernardi
| paperity.org
Review of Managerial Science, Mar 2023 This is a preview of a remote PDF: https://link.springer.com/content/pdf/10.1007/s11846-023-00655-8.pdf Bertello, Alberto, De Bernardi, Paola, Ricciardi, Francesca. , Review of Managerial Science, 2023, pp. 1-51, DOI: 10.1007/s11846-023-00655-8
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[2303.01860] Rule-based Out-Of-Distribution Detection

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By De Bernardi
| arXiv
arXiv:2303.01860 (cs) [Submitted on 3 Mar 2023 (v1), last revised 21 Aug 2023 (this version, v4)] Download PDF Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2303.01860 [cs.AI] (or arXiv:2303.01860v4 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2303.01860 Submission history From: Giacomo De Bernardi Dr. [ view email] [v1] Fri, 3 Mar 2023 11:26:28 UTC (3,832 KB) [v2] Wed, 8 Mar 2023 08:19:23 UTC (3,832 KB) [v3] Wed, 5 Apr 2023 08:02:34 UTC (3,832 KB) [v4] Mon, 21 Aug 2023...
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[1810.00378] Pseudo-Random Number Generation using Generative Adversarial Networks

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By De Bernardi, MHR Khouzani, Pasquale Malacaria
| arXiv
Show your support for Open Science by donating to arXiv during Giving Week, April 25th-29th.
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