UNITesi

Università degli Studi di Padova: [10912] Istituto

Sfoglia
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 10.912
Istituto Anno di pubblicazione Titolo Autore file(s)
Università degli Studi di Padova 2026 Advanced Tensor Network Algorithms for Quantum Many-Body System Simulation -
Università degli Studi di Padova 2026 INFLUENCE OF DROUGHT STRESS, ENDOGENOUS STRIGOLACTONES AND MICROPEPTIDES ON GLYCOALKALOID BIOSYNTHESIS IN TOMATO -
Università degli Studi di Padova 2026 Notch and defect sensitivity in uniaxial and multiaxial fatigue of 42CrMo4 Q&T steel for marine engines -
Università degli Studi di Padova 2026 DIMENSIONAL METROLOGY WITH FAST AND ACCURATE X-RAY COMPUTED TOMOGRAPHY FOR ADVANCED MANUFACTURING APPLICATIONS -
Università degli Studi di Padova 2026 Additive manufacturing for the development of a sustainable aerospace industry -
Università degli Studi di Padova 2026 Valorizzazione di sottoprodotti agr-alimentati con la produzione sostenibilt di poliidrossialcanoati (PHAs) e biocarburanti verdi in ottica di economia circolare -
Università degli Studi di Padova 2026 Associative memory and recurrent neural networks: a dynamical systems approach -
Università degli Studi di Padova 2026 Data-Driven Modeling, Estimation and Control for Networked LTI Systems -
Università degli Studi di Padova 2026 Distributed algorithms for curvature-aware and zeroth-order optimization, and for masked data clustering -
Università degli Studi di Padova 2026 From Online Optimization to Neural State Space Models: A Control-Inspired Approach to Learning -
Università degli Studi di Padova 2026 Design and Implementation of a Comprehensive Bioinformatics Tool and Online Database for Exploring Genomic Diversity Across All Domains of Life -
Università degli Studi di Padova 2026 UNRAVELING THE CROSSTALK BETWEEN T CELL IMMUNOTHERAPIES AND THE TUMOR MICROENVIRONMENT -
Università degli Studi di Padova 2026 Characterization of FAK-p53 relationship in Chronic Lymphocytic Leukemia cells -
Università degli Studi di Padova 2026 MODULATING THE GLIOBLASTOMA IMMUNE LANDSCAPE THROUGH RNA INTERFERENCE AND CYTOKINE AND CHEMOKINE-BASED NANOMEDICINE -
Università degli Studi di Padova 2026 Functional and clinical impact of mitochondrial DNA variants in ovarian and colorectal cancer -
Università degli Studi di Padova 2026 FOSTERING INCLUSIVE CONTEXTS: THE ROLE OF HUMAN RIGHTS AND INCLUSIVE SOCIAL SKILLS TO FOSTER INCLUSION IN CHILDREN -
Università degli Studi di Padova 2026 OVERCOMING ADULT T-CELL LEUKEMIA/LYMPHOMA SURVIVAL PATHWAYS WITH mTORC1 BLOCKADE and BH3-MIMETICS -
Università degli Studi di Padova 2026 Innovative feeding strategies in heavy pigs and their impact on the quality of cured hams -
Università degli Studi di Padova 2026 Eco-innovation for the green transition of hard-to-abate sectors: the case of Carbon Capture and Storage -
Università degli Studi di Padova 2025 ERROR FIELD CONTROL IN MAGNETIC FUSION DEVICES -
Prodotti della tipologia (ordinati per Data di deposito in Decrescente ordine): 1 a 20 di 10.912
Legenda icone

  •  file ad accesso aperto
  •  file disponibili sulla rete interna
  •  file disponibili agli utenti autorizzati
  •  file disponibili solo agli amministratori
  •  file sotto embargo
  •  nessun file disponibile

Prodotti recenti

Advanced Tensor Network Algorithms for Quantum Many-Body System Simulation

Tensor network methods are a family of state-of-the-art numerical methods for simulating quantum many-body systems. This thesis contributes to the advancement of tensor network techniques through three objectives: the development and open-source implementation of advanced algorithms, benchmarking and comparing different tensor network approaches, and, finally, their application to problems in quantum many-body physics. We present Quantum TEA, an open-source tensor network emulator providing a...

INFLUENCE OF DROUGHT STRESS, ENDOGENOUS STRIGOLACTONES AND MICROPEPTIDES ON GLYCOALKALOID BIOSYNTHESIS IN TOMATO

Plant-derived metabolites represent a valuable resource for industrial applications, providing eco-friendly alternatives to conventional agrochemicals and inspiring the development of novel drugs based on natural defense mechanisms. Tomato (Solanum lycopersicum L.) is among the most widely cultivated crops globally, and its large-scale production generates considerable amounts of leftover biomass that remains enriched in bioactive compounds. A prominent example is represented by steroidal gly...

Notch and defect sensitivity in uniaxial and multiaxial fatigue of 42CrMo4 Q&T steel for marine engines

Manufacturing of metal products is energy-intensive and resource-heavy, with notable environmental impacts. Europe targets waste reduction via better design/manufacturing and the twin transition. In 2022 the ENGINE project set out to deliver a zero-defect, first-time-right system for mechanical components. Marine engine connecting-rod heads were the case study. A key contribution was the fatigue characterization of these parts, focusing on notch and defect sensitivity under cyclic loading by ...

DIMENSIONAL METROLOGY WITH FAST AND ACCURATE X-RAY COMPUTED TOMOGRAPHY FOR ADVANCED MANUFACTURING APPLICATIONS

X-ray Computed Tomography (CT) has progressively emerged as a key technology for dimensional metrology in contemporary industry. Nevertheless, despite its significant operational advantages, CT still faces challenges that hinder its wider industrial adoption, particularly related to long acquisition times, its complex measurement-error cause system, and the absence of fully established routes to ensure metrological traceability. These limitations highlight a fundamental trade-off between meas...

Additive manufacturing for the development of a sustainable aerospace industry

This thesis investigates the mechanical behaviour of 3D-printed materials produced through the material extrusion process. Both numerical and experimental approaches were employed to analyse the effect of printing parameters on the elastic and fracture properties of the printed components. A series of peridynamic (PD) models with increasing complexity were developed: starting from a single strand, then a sample with horizontal strands, and finally a sample with vertical strands. These models ...

Valorizzazione di sottoprodotti agr-alimentati con la produzione sostenibilt di poliidrossialcanoati (PHAs) e biocarburanti verdi in ottica di economia circolare

Sustainability has become a defining paradigm in addressing the environmental, social, and economic challenges of the 21st century. Within this framework, the circular economy and bioeconomy represent two complementary models aiming to decouple growth from resource depletion while minimizing waste and emissions. In particular, agri-food systems are at the central of this transition, sustaining human well-being and global economies while also producing large volumes of organic residues. When p...

Associative memory and recurrent neural networks: a dynamical systems approach

This thesis explores the theory of associative memory in recurrent neural networks through the lens of dynamical systems. Starting from the classical literature on voltage-based and firing-rate models, we analyze their fundamental dynamical properties, including the existence of fixed points and the conditions for local and global stability. These results provide a unified framework to understand how recurrent networks store and retrieve information. Building on this foundation, we introduce...

Data-Driven Modeling, Estimation and Control for Networked LTI Systems

This Ph.D. thesis addresses the study of networked systems, with a particular focus on estimation and control problems. Networked systems frequently exhibit highly complex behaviors influenced by numerous factors, making it challenging to accurately model their dynamics. On the other hand, recent advances in computing capabilities of modern devices have enabled the collection and processing of large volumes of data, thus opening a new line of research aimed at using these data as an alternati...

Distributed algorithms for curvature-aware and zeroth-order optimization, and for masked data clustering

The systematic exploitation of data allows to optimize complex processes, discover hidden patterns, and support evidence-based decision-making. To ensure that data is used accurately, efficiently, and fairly, a wide range of data analysis and optimization algorithms have emerged over the years. However, the modern landscape of data and data-driven applications creates challenges for which these algorithms are not prepared, limiting or preventing their applicability and leaving several relevan...

From Online Optimization to Neural State Space Models: A Control-Inspired Approach to Learning

This thesis investigates online optimization and its connections to modern neural architectures through a control–theoretic approach. In classical optimization, the goal is to minimize a fixed cost function. In the online setting, instead, the problem must be solved as the objective and constraints evolve over time. This transforms the problem into a dynamic one, in which tools and principles from control theory become relevant to ensure convergence of the optimization error. Rather than dir...

Scopri
Istituto
  • Università degli Studi di Padova10840
Data di pubblicazione
  • 2020 - 20262267
  • 2010 - 20194975
  • 2000 - 20092200
  • 1990 - 19991284
  • 1986 - 1989112
Settore disciplinare
  • Settore FIS/05 - Astronomia e Ast...114
  • Settore BIO/11 - Biologia Molecolare81
  • Settore BIO/10 - Biochimica70
  • Settore ING-INF/01 - Elettronica66
  • Settore M-PSI/01 - Psicologia Gen...64
  • Settore MED/38 - Pediatria Genera...61
  • Settore ING-INF/03 - Telecomunica...58
  • Settore BIO/13 - Biologia Applicata57
  • Settore BIO/14 - Farmacologia56
  • Settore SECS-S/01 - Statistica50
Accesso al fulltext
  • open7278
  • no fulltext2638
  • embargoed594
  • internalNetwork325
  • partially open5