5,209 results on '"Rossi, Francesca"'
Search Results
2. Scintillation Properties of CsPbBr3 Nanocrystals Prepared by Ligand-Assisted Reprecipitation and Dual Effect of Polyacrylate Encapsulation toward Scalable Ultrafast Radiation Detectors
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Cova, Francesca, Erroi, Andrea, Zaffalon, Matteo L., Cemmi, Alessia, Di Sarcina, Ilaria, Perego, Jacopo, Monguzzi, Angelo, Comotti, Angiolina, Rossi, Francesca, Carulli, Francesco, and Brovelli, Sergio
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Physics - Applied Physics ,Physics - Instrumentation and Detectors - Abstract
Lead halide perovskite nanocrystals (LHP-NCs) embedded in polymeric hosts are gaining attention as scalable and low-cost scintillation detectors for technologically relevant applications. Despite rapid progress, little is currently known about the scintillation properties and stability of LHP-NCs prepared by the ligand assisted reprecipitation (LARP) method, which allows mass scalability at room temperature unmatched by any other type of nanostructure, and the implications of incorporating LHP-NCs into polyacrylate hosts are still largely debated. Here, we show that LARP-synthesized CsPbBr3 NCs are comparable to particles from hot-injection routes and unravel the dual effect of polyacrylate incorporation, where the partial degradation of LHP-NCs luminescence is counterbalanced by the passivation of electron-poor defects by the host acrylic groups. Experiments on NCs with tailored surface defects show that the balance between such antithetical effects of polymer embedding is determined by the surface defect density of the NCs and provide guidelines for further material optimization.
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- 2024
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3. Ultrafast nanocomposite scintillators based on Cd-enhanced CsPbCl3 nanocrystals in polymer matrix
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Erroi, Andrea, Carulli, Francesco, Cova, Francesca, Frank, Isabel, Zaffalon, Matteo L., Llusar, Jordi, Mecca, Sara, Cemmi, Alessia, Di Sarcina, Ilaria, Rossi, Francesca, Beverina, Luca, Meinardi, Francesco, Infante, Ivan, Auffray, Etiennette, and Brovelli, Sergio
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Condensed Matter - Materials Science ,Physics - Chemical Physics - Abstract
Lead halide perovskite nanocrystals (LHP-NCs) embedded in polymer matrices are gaining traction for next-generation radiation detectors. While progress has been made on green-emitting CsPbBr3 NCs, scant attention has been given to the scintillation properties of CsPbCl3 NCs, which emit size-tunable UV-blue light matching the peak efficiency of ultrafast photodetectors. In this study, we explore the scintillation characteristics of CsPbCl3 NCs produced through a scalable method and treated with CdCl2. Spectroscopic, radiometric and theoretical analysis on both untreated and treated NCs uncover deep hole trap states due to surface undercoordinated chloride ions, eliminated by Pb to Cd substitution. This yields near-perfect efficiency and resistance to polyacrylate mass-polymerization. Radiation hardness tests demonstrate stability to high gamma doses while time-resolved experiments reveal ultrafast radioluminescence with an average lifetime as short as 210 ps. These findings enhance our comprehension of LHP NCs' scintillation properties, positioning CsPbCl3 as a promising alternative to conventional fast scintillators.
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- 2024
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4. The VLA-4 integrin is constitutively active in circulating chronic lymphocytic leukemia cells via BCR autonomous signaling: a novel anchor-independent mechanism exploiting soluble blood-borne ligands
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Tissino, Erika, Gaglio, Annalisa, Nicolò, Antonella, Pozzo, Federico, Bittolo, Tamara, Rossi, Francesca Maria, Bomben, Riccardo, Nanni, Paola, Cattarossi, Ilaria, Zaina, Eva, Zimbo, Anna Maria, Ianna, Giulia, Capasso, Guido, Forestieri, Gabriela, Moia, Riccardo, Datta, Moumita, Härzschel, Andrea, Olivieri, Jacopo, D’Arena, Giovanni, Laurenti, Luca, Zaja, Francesco, Chiarenza, Annalisa, Palumbo, Giuseppe A., Martino, Enrica Antonia, Gentile, Massimo, Rossi, Davide, Gaidano, Gianluca, Del Poeta, Giovanni, Laureana, Roberta, Del Principe, Maria Ilaria, Maity, Palash C., Jumaa, Hassan, Hartmann, Tanja Nicole, Zucchetto, Antonella, and Gattei, Valter
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- 2024
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5. An activity-specificity trade-off encoded in human transcription factors
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Naderi, Julian, Magalhaes, Alexandre P., Kibar, Gözde, Stik, Gregoire, Zhang, Yaotian, Mackowiak, Sebastian D., Wieler, Hannah M., Rossi, Francesca, Buschow, Rene, Christou-Kent, Marie, Alcoverro-Bertran, Marc, Graf, Thomas, Vingron, Martin, and Hnisz, Denes
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- 2024
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6. Are Gender Identities and Gender Ideologies Associated with the Variety and Type of Owned Sex Toys? Evidence from a Large Italian Sample of Cisgender Individuals
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Caricati, Luca, Bonetti, Chiara, and Rossi, Francesca
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- 2024
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7. On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)
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Pallagani, Vishal, Roy, Kaushik, Muppasani, Bharath, Fabiano, Francesco, Loreggia, Andrea, Murugesan, Keerthiram, Srivastava, Biplav, Rossi, Francesca, Horesh, Lior, and Sheth, Amit
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Computer Science - Artificial Intelligence - Abstract
Automated Planning and Scheduling is among the growing areas in Artificial Intelligence (AI) where mention of LLMs has gained popularity. Based on a comprehensive review of 126 papers, this paper investigates eight categories based on the unique applications of LLMs in addressing various aspects of planning problems: language translation, plan generation, model construction, multi-agent planning, interactive planning, heuristics optimization, tool integration, and brain-inspired planning. For each category, we articulate the issues considered and existing gaps. A critical insight resulting from our review is that the true potential of LLMs unfolds when they are integrated with traditional symbolic planners, pointing towards a promising neuro-symbolic approach. This approach effectively combines the generative aspects of LLMs with the precision of classical planning methods. By synthesizing insights from existing literature, we underline the potential of this integration to address complex planning challenges. Our goal is to encourage the ICAPS community to recognize the complementary strengths of LLMs and symbolic planners, advocating for a direction in automated planning that leverages these synergistic capabilities to develop more advanced and intelligent planning systems.
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- 2024
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8. Wait and see: a case of EBV + cutaneous extranodal NK/T-type lymphoma with indolent behaviour
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Aromolo, Italo Francesco, Pescia, Carlo, Simeoli, Domenico, Violetti, Silvia Alberti, Ferla, Valeria, Rossi, Francesca Gaia, and Croci, Giorgio Alberto
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- 2024
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9. The Return on Investment in AI Ethics: A Holistic Framework
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Bevilacqua, Marialena, Berente, Nicholas, Domin, Heather, Goehring, Brian, and Rossi, Francesca
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Computer Science - Computers and Society - Abstract
We propose a Holistic Return on Ethics (HROE) framework for understanding the return on organizational investments in artificial intelligence (AI) ethics efforts. This framework is useful for organizations that wish to quantify the return for their investment decisions. The framework identifies the direct economic returns of such investments, the indirect paths to return through intangibles associated with organizational reputation, and real options associated with capabilities. The holistic framework ultimately provides organizations with the competency to employ and justify AI ethics investments., Comment: A subsequent version of this paper will be published in the Hawaii International Conference on System Sciences (HICSS) 2024 Proceedings
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- 2023
10. Value-based Fast and Slow AI Nudging
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Ganapini, Marianna B., Fabiano, Francesco, Horesh, Lior, Loreggia, Andrea, Mattei, Nicholas, Murugesan, Keerthiram, Pallagani, Vishal, Rossi, Francesca, Srivastava, Biplav, and Venable, Brent
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Computer Science - Artificial Intelligence ,Computer Science - Computers and Society ,Computer Science - Human-Computer Interaction - Abstract
Nudging is a behavioral strategy aimed at influencing people's thoughts and actions. Nudging techniques can be found in many situations in our daily lives, and these nudging techniques can targeted at human fast and unconscious thinking, e.g., by using images to generate fear or the more careful and effortful slow thinking, e.g., by releasing information that makes us reflect on our choices. In this paper, we propose and discuss a value-based AI-human collaborative framework where AI systems nudge humans by proposing decision recommendations. Three different nudging modalities, based on when recommendations are presented to the human, are intended to stimulate human fast thinking, slow thinking, or meta-cognition. Values that are relevant to a specific decision scenario are used to decide when and how to use each of these nudging modalities. Examples of values are decision quality, speed, human upskilling and learning, human agency, and privacy. Several values can be present at the same time, and their priorities can vary over time. The framework treats values as parameters to be instantiated in a specific decision environment.
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- 2023
11. Understanding the Capabilities of Large Language Models for Automated Planning
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Pallagani, Vishal, Muppasani, Bharath, Murugesan, Keerthiram, Rossi, Francesca, Srivastava, Biplav, Horesh, Lior, Fabiano, Francesco, and Loreggia, Andrea
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Computer Science - Artificial Intelligence - Abstract
Automated planning is concerned with developing efficient algorithms to generate plans or sequences of actions to achieve a specific goal in a given environment. Emerging Large Language Models (LLMs) can answer questions, write high-quality programming code, and predict protein folding, showcasing their versatility in solving various tasks beyond language-based problems. In this paper, we aim to explore how LLMs can also be used for automated planning. To do so, we seek to answer four key questions. Firstly, we want to understand the extent to which LLMs can be used for plan generation. Secondly, we aim to identify which pre-training data is most effective in facilitating plan generation. Thirdly, we investigate whether fine-tuning or prompting is a more effective approach for plan generation. Finally, we explore whether LLMs are capable of plan generalization. By answering these questions, the study seeks to shed light on the capabilities of LLMs in solving complex planning problems and provide insights into the most effective approaches for using LLMs in this context., Comment: 12 pages
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- 2023
12. Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina).
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Van de Peer, Yves, Olsen, Jeanine, Reusch, Thorsten, Cusson, Mathieu, Emmett Duffy, J, Joel Fodrie, F, Gill, Diana, Grimwood, Jane, Hori, Masakazu, Hovel, Kevin, Hughes, A, Jahnke, Marlene, Jenkins, Jerry, Keymanesh, Keykhosrow, Kruschel, Claudia, Mamidi, Sujan, Menning, Damian, Moksnes, Per-Olav, Nakaoka, Masahiro, Pennacchio, Christa, Reiss, Katrin, Rossi, Francesca, Ruesink, Jennifer, Schultz, Stewart, Talbot, Sandra, Unsworth, Richard, Ward, David, Dagan, Tal, Schmutz, Jeremy, Yu, Lei, Khachaturyan, Marina, Matschiner, Michael, Healey, Adam, Bauer, Diane, Stachowicz, John, Eisen, Jonathan, and Cameron, Brenda
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Ecosystem ,Zosteraceae ,Canada ,Phylogeography ,Oceans and Seas - Abstract
Currents are unique drivers of oceanic phylogeography and thus determine the distribution of marine coastal species, along with past glaciations and sea-level changes. Here we reconstruct the worldwide colonization history of eelgrass (Zostera marina L.), the most widely distributed marine flowering plant or seagrass from its origin in the Northwest Pacific, based on nuclear and chloroplast genomes. We identified two divergent Pacific clades with evidence for admixture along the East Pacific coast. Two west-to-east (trans-Pacific) colonization events support the key role of the North Pacific Current. Time-calibrated nuclear and chloroplast phylogenies yielded concordant estimates of the arrival of Z. marina in the Atlantic through the Canadian Arctic, suggesting that eelgrass-based ecosystems, hotspots of biodiversity and carbon sequestration, have only been present there for ~243 ky (thousand years). Mediterranean populations were founded ~44 kya, while extant distributions along western and eastern Atlantic shores were founded at the end of the Last Glacial Maximum (~19 kya), with at least one major refuge being the North Carolina region. The recent colonization and five- to sevenfold lower genomic diversity of the Atlantic compared to the Pacific populations raises concern and opportunity about how Atlantic eelgrass might respond to rapidly warming coastal oceans.
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- 2023
13. All That Glitters Is Not Gold: The Sustainability Puzzle and the Pieces in Place
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Manes-Rossi, Francesca, Bisogno, Marco, Brusca, Isabel, Caperchione, Eugenio, Cohen, Sandra, Cohen, Sandra, Series Editor, Caperchione, Eugenio, Series Editor, Brusca, Isabel, Series Editor, Manes-Rossi, Francesca, Series Editor, and Bisogno, Marco, editor
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- 2024
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14. SDGs Budgeting and Reporting
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Manes-Rossi, Francesca, Cohen, Sandra, Series Editor, Caperchione, Eugenio, Series Editor, Brusca, Isabel, Series Editor, Manes-Rossi, Francesca, Series Editor, and Bisogno, Marco, editor
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- 2024
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15. Spreading the Sustainability Puzzle Pieces on the Table
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Brusca, Isabel, Bisogno, Marco, Caperchione, Eugenio, Cohen, Sandra, Manes-Rossi, Francesca, Cohen, Sandra, Series Editor, Caperchione, Eugenio, Series Editor, Brusca, Isabel, Series Editor, Manes-Rossi, Francesca, Series Editor, and Bisogno, Marco, editor
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- 2024
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16. When is it acceptable to break the rules? Knowledge representation of moral judgements based on empirical data
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Awad, Edmond, Levine, Sydney, Loreggia, Andrea, Mattei, Nicholas, Rahwan, Iyad, Rossi, Francesca, Talamadupula, Kartik, Tenenbaum, Joshua, and Kleiman-Weiner, Max
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- 2024
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17. Osteosarcoma in a ceRNET perspective
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Mosca, Nicola, Alessio, Nicola, Di Paola, Alessandra, Marrapodi, Maria Maddalena, Galderisi, Umberto, Russo, Aniello, Rossi, Francesca, and Potenza, Nicoletta
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- 2024
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18. Polishing methods for composites restoration: the influence on human gingival fibroblasts behaviour
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Ghezzi, Benedetta, Meglioli, Matteo, Salvaterra Toffoli, Andrea, Mergoni, Giovanni, Rossi, Francesca, Manfredi, Maddalena, Lumetti, Simone, and Manfredi, Edoardo
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- 2024
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19. Synthesis of built-in highly strained monolayer MoS2 using liquid precursor chemical vapor deposition
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Seravalli, Luca, Esposito, Fiorenza, Bosi, Matteo, Aversa, Lucrezia, Trevisi, Giovanna, Verrucchi, Roberto, Lazzarini, Laura, Rossi, Francesca, and Fabbri, Filippo
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Condensed Matter - Materials Science - Abstract
Strain engineering is an efficient tool to tune and tailor the electrical and optical properties of 2D materials. The built-in strain can be tuned during the synthesis process of a two dimensional semiconductor, as molybdenum disulfide, by employing different growth substrate with peculiar thermal properties. In this work we demonstrate that the built-in strain of MoS2 monolayers, grown on SiO2/Si substrate using liquid precursors chemical vapor deposition, is mainly dominated by the size of the monolayer. In fact, we identify a critical size equal to 20 um, from which the built-in strain increases drastically. The built-in strain is maximized for 60 um sized monolayer, leading to 1.2% tensile strain with a partial release of strain close to the monolayer triangular vertexes due to formation of nanocracks. These findings also imply that the standard method for evaluation of the number of layers based on the Raman modes separation becomes unreliable for monolayer with a lateral size above 20 um.
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- 2023
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20. Fast and Slow Planning
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Fabiano, Francesco, Pallagani, Vishal, Ganapini, Marianna Bergamaschi, Horesh, Lior, Loreggia, Andrea, Murugesan, Keerthiram, Rossi, Francesca, and Srivastava, Biplav
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Computer Science - Artificial Intelligence - Abstract
The concept of Artificial Intelligence has gained a lot of attention over the last decade. In particular, AI-based tools have been employed in several scenarios and are, by now, pervading our everyday life. Nonetheless, most of these systems lack many capabilities that we would naturally consider to be included in a notion of "intelligence". In this work, we present an architecture that, inspired by the cognitive theory known as Thinking Fast and Slow by D. Kahneman, is tasked with solving planning problems in different settings, specifically: classical and multi-agent epistemic. The system proposed is an instance of a more general AI paradigm, referred to as SOFAI (for Slow and Fast AI). SOFAI exploits multiple solving approaches, with different capabilities that characterize them as either fast or slow, and a metacognitive module to regulate them. This combination of components, which roughly reflects the human reasoning process according to D. Kahneman, allowed us to enhance the reasoning process that, in this case, is concerned with planning in two different settings. The behavior of this system is then compared to state-of-the-art solvers, showing that the newly introduced system presents better results in terms of generality, solving a wider set of problems with an acceptable trade-off between solving times and solution accuracy.
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- 2023
21. Chapter Seagrass detritus as marine macroinvertebrates attractor
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Costa, Valentina, CHEMELLO, Renato, Iaciofano, Davide, Lo Brutto, Sabrina, and rossi, francesca
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Beach-dunes ,Rocky ecosystems. Artificial ecosystems ,Abiotic factors and water quality ,Biodiversity and functioning of ecosystems ,Impact mitigation and restoration ,methodologies ,Analysis of the effects of impact factors on ecosystems ,Monitoring of c ,thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment - Abstract
Seagrass detritus is used as food, physical habitat and shelter. Using natural and artificial detritus, we tested if: 1) the colonisation was related to substrate availability rather than food 2) the assemblages were similar according to meadow structural complexity. A total of 11,270 invertebrates were identified. Neither the habitat complexity, nor the substrate type shown any effects on the colonisation, with both substrates acting as a faunal magnet. The detritus can be colonised by a rich and diverse community, highlighting its important role in maintaining the seagrass meadow biodiversity
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- 2022
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22. Convergence of Multi-Issue Iterative Voting under Uncertainty
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Kavner, Joshua, Meir, Reshef, Rossi, Francesca, and Xia, Lirong
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Computer Science - Computer Science and Game Theory - Abstract
We study the effect of strategic behavior in iterative voting for multiple issues under uncertainty. We introduce a model synthesizing simultaneous multi-issue voting with Meir, Lev, and Rosenschein (2014)'s local dominance theory and determine its convergence properties. After demonstrating that local dominance improvement dynamics may fail to converge, we present two sufficient model refinements that guarantee convergence from any initial vote profile for binary issues: constraining agents to have O-legal preferences and endowing agents with less uncertainty about issues they are modifying than others. Our empirical studies demonstrate that although cycles are common when agents have no uncertainty, introducing uncertainty makes convergence almost guaranteed in practice., Comment: 19 pages, 4 figures
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- 2023
23. Plansformer: Generating Symbolic Plans using Transformers
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Pallagani, Vishal, Muppasani, Bharath, Murugesan, Keerthiram, Rossi, Francesca, Horesh, Lior, Srivastava, Biplav, Fabiano, Francesco, and Loreggia, Andrea
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Computer Science - Artificial Intelligence - Abstract
Large Language Models (LLMs) have been the subject of active research, significantly advancing the field of Natural Language Processing (NLP). From BERT to BLOOM, LLMs have surpassed state-of-the-art results in various natural language tasks such as question answering, summarization, and text generation. Many ongoing efforts focus on understanding LLMs' capabilities, including their knowledge of the world, syntax, and semantics. However, extending the textual prowess of LLMs to symbolic reasoning has been slow and predominantly focused on tackling problems related to the mathematical field. In this paper, we explore the use of LLMs for automated planning - a branch of AI concerned with the realization of action sequences (plans) to achieve a goal, typically executed by intelligent agents, autonomous robots, and unmanned vehicles. We introduce Plansformer; an LLM fine-tuned on planning problems and capable of generating plans with favorable behavior in terms of correctness and length with reduced knowledge-engineering efforts. We also demonstrate the adaptability of Plansformer in solving different planning domains with varying complexities, owing to the transfer learning abilities of LLMs. For one configuration of Plansformer, we achieve ~97% valid plans, out of which ~95% are optimal for Towers of Hanoi - a puzzle-solving domain., Comment: 44 pages including supplementary material
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- 2022
24. Exploring Urban Greenery Through Standard and Novel Monitoring Optical Tools: Preliminary Findings in the Metropolitan City of Cagliari
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Sanfilippo, Francesca, Tuccio, Lorenza, Cavigli, Lucia, Rossi, Francesca, Querzoli, Giorgio, Blecic, Ivan, Matteini, Paolo, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Garau, Chiara, editor, Taniar, David, editor, C. Rocha, Ana Maria A., editor, and Faginas Lago, Maria Noelia, editor
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- 2024
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25. Exploring the uncharted territories: a structured literature review on cryptocurrency accounting and auditing
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Tiron-Tudor, Adriana, Mierlita, Stefania, and Manes Rossi, Francesca
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- 2024
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26. Performance management and measurement impacts on universities: (re)viewing the past, present and future
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Guthrie, James, Manes-Rossi, Francesca, Orelli, Rebecca Levy, and Sforza, Vincenzo
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- 2024
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27. Technologies and Innovation in Secondary Schools: Rethinking Teaching to Improve Student Satisfaction
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Storai, Francesca, Rossi, Francesca, Mori, Sara, and Toci, Valentina
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The use of new technologies is one of the themes at the centre of the educational debate, especially following Distance Education. The Avant-garde Educative Movement gathers schools from all over the country that share experiments based on a model in which the student is at the centre of his or her own educational path, a model capable of promoting meaningful learning. The Self Determination Theory (Deci & Ryan, 1985) highlights the extent to which the satisfaction of the needs for autonomy, competence and relationships contributes to student motivation. The purpose of the present study is to understand whether the rethinking of teaching promoted by widespread use of new technologies has had an impact in terms of student satisfaction. For the analysis, a Multilevel Model was used that assumes as the dependent variable students' satisfaction with their school life from the Clipper Test, a-Portfolio for the orientation of students aged 15-19 (Soresi & Nota, 2003). The scale captures satisfaction with the school experience in terms of preparation received, relationships established and congruence with expectations. Results show that satisfaction increases as the use and frequency of innovative teaching methodologies employed by the teacher increases and as the frequency of use of technological resources employed in the classroom and in homework assignments increases.
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- 2023
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28. Giant reduction of thermal conductivity in twinning superlattice InAsSb nanowires
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Peri, Lorenzo, Prete, Domenic, Demontis, Valeria, Zannier, Valentina, Rossi, Francesca, Sorba, Lucia, Beltram, Fabio, and Rossella, Francesco
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Condensed Matter - Materials Science ,Physics - Applied Physics - Abstract
Semiconductor nanostructures hold great promise for high-efficiency waste heat recovery exploiting thermoelectric energy conversion, a technological breakthrough that could significantly contribute to providing environmentally friendly energy sources as well as in enabling the realization of self-powered biomedical and wearable devices. A crucial requirement in this field is the reduction of the thermal conductivity of the thermoelectric material without detrimentally affecting its electrical transport properties. In this work we demonstrate a drastic reduction of thermal conductivity in III-V semiconductor nanowires due to the presence of intentionally realized periodic crystal lattice twin planes. The electrical and thermal transport of these nanostructures, known as twinning superlattice nanowires, have been probed and compared with their twin-free counterparts, showing a one order of magnitude decrease of thermal conductivity while maintaining unaltered electrical transport properties, thus yielding a factor ten enhancement of the thermoelectric figure of merit, ZT. Our study reports for the first time the experimental measurement of electrical and thermal properties in twinning superlattice nanowires, which emerge as a novel class of nanomaterials for high efficiency thermoelectric energy harvesting.
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- 2022
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29. Learning Behavioral Soft Constraints from Demonstrations
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Glazier, Arie, Loreggia, Andrea, Mattei, Nicholas, Rahgooy, Taher, Rossi, Francesca, and Venable, Brent
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Computer Science - Machine Learning ,Computer Science - Artificial Intelligence ,Computer Science - Computers and Society - Abstract
Many real-life scenarios require humans to make difficult trade-offs: do we always follow all the traffic rules or do we violate the speed limit in an emergency? These scenarios force us to evaluate the trade-off between collective rules and norms with our own personal objectives and desires. To create effective AI-human teams, we must equip AI agents with a model of how humans make these trade-offs in complex environments when there are implicit and explicit rules and constraints. Agent equipped with these models will be able to mirror human behavior and/or to draw human attention to situations where decision making could be improved. To this end, we propose a novel inverse reinforcement learning (IRL) method: Max Entropy Inverse Soft Constraint IRL (MESC-IRL), for learning implicit hard and soft constraints over states, actions, and state features from demonstrations in deterministic and non-deterministic environments modeled as Markov Decision Processes (MDPs). Our method enables agents implicitly learn human constraints and desires without the need for explicit modeling by the agent designer and to transfer these constraints between environments. Our novel method generalizes prior work which only considered deterministic hard constraints and achieves state of the art performance., Comment: arXiv admin note: substantial text overlap with arXiv:2109.11018
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- 2022
30. Apparenza del diritto e rapporti di fatto nell'esperienza giuridica di Roma antica
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Rossi, Francesca
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roman law ,appearance of law ,possessor pro herede ,falsus procurator ,de facto family relationships ,bic Book Industry Communication::L Law::LA Jurisprudence & general issues::LAF Systems of law - Abstract
The thesis examines the dialectic between fact and law in the juridical experience of Rome in the light of the principle of appearance of law. For each of the main manifestations of the principle of appearance (apparent heir, apparent creditor, apparent representative) a possible historical antecedent in Roman law (possessor pro herede, falsus creditor, falsus procurator) is identified, a detailed analysis of which is proposed, taking into account ancient sources and doctrinal interpretations. Subsequently the ‘de facto’ family relationships (more uxorio relations, matrimonium iniustum and concubinage) are examined, since they can in turn be traced back to the principle of appearance. In its questioning of the reasons of the extension of the juridical discipline to the apparent case, the research identifies a common tendency to the various phenomena that, although heterogeneous, express the same tension between fact and law present in the legal systems of every historical epoch.
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- 2020
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31. A Pleistocene legacy structures variation in modern seagrass ecosystems
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Duffy, J Emmett, Stachowicz, John J, Reynolds, Pamela L, Hovel, Kevin A, Jahnke, Marlene, Sotka, Erik E, Boström, Christoffer, Boyer, Katharyn E, Cusson, Mathieu, Eklöf, Johan, Engelen, Aschwin H, Eriksson, Britas Klemens, Fodrie, F Joel, Griffin, John N, Hereu, Clara M, Hori, Masakazu, Hughes, A Randall, Ivanov, Mikhail V, Jorgensen, Pablo, Kruschel, Claudia, Lee, Kun-Seop, Lefcheck, Jonathan S, Moksnes, Per-Olav, Nakaoka, Masahiro, O’Connor, Mary I, O’Connor, Nessa E, Orth, Robert J, Peterson, Bradley J, Reiss, Henning, Reiss, Katrin, Richardson, J Paul, Rossi, Francesca, Ruesink, Jennifer L, Schultz, Stewart T, Thormar, Jonas, Tomas, Fiona, Unsworth, Richard, Voigt, Erin, Whalen, Matthew A, Ziegler, Shelby L, and Olsen, Jeanine L
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Climate Action ,Acclimatization ,Animals ,Biological Evolution ,Biomass ,Ecosystem ,Food Chain ,Invertebrates ,Zosteraceae ,biogeography ,climate ,foundation species ,genetic structure - Abstract
Distribution of Earth's biomes is structured by the match between climate and plant traits, which in turn shape associated communities and ecosystem processes and services. However, that climate-trait match can be disrupted by historical events, with lasting ecosystem impacts. As Earth's environment changes faster than at any time in human history, critical questions are whether and how organismal traits and ecosystems can adjust to altered conditions. We quantified the relative importance of current environmental forcing versus evolutionary history in shaping the growth form (stature and biomass) and associated community of eelgrass (Zostera marina), a widespread foundation plant of marine ecosystems along Northern Hemisphere coastlines, which experienced major shifts in distribution and genetic composition during the Pleistocene. We found that eelgrass stature and biomass retain a legacy of the Pleistocene colonization of the Atlantic from the ancestral Pacific range and of more recent within-basin bottlenecks and genetic differentiation. This evolutionary legacy in turn influences the biomass of associated algae and invertebrates that fuel coastal food webs, with effects comparable to or stronger than effects of current environmental forcing. Such historical lags in phenotypic acclimatization may constrain ecosystem adjustments to rapid anthropogenic climate change, thus altering predictions about the future functioning of ecosystems.
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- 2022
32. Biochar dust emission: Is it a health concern? Preliminary results for toxicity assessment
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Pinelli, Silvana, Rossi, Stefano, Malcevschi, Alessio, Miragoli, Michele, Corradi, Massimo, Selis, Luisella, Tagliaferri, Sara, Rossi, Francesca, Cavallo, Delia, Ursini, Cinzia Lucia, Poli, Diana, and Mozzoni, Paola
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- 2024
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33. When Is It Acceptable to Break the Rules? Knowledge Representation of Moral Judgement Based on Empirical Data
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Awad, Edmond, Levine, Sydney, Loreggia, Andrea, Mattei, Nicholas, Rahwan, Iyad, Rossi, Francesca, Talamadupula, Kartik, Tenenbaum, Joshua, and Kleiman-Weiner, Max
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Computer Science - Artificial Intelligence ,Computer Science - Computers and Society - Abstract
One of the most remarkable things about the human moral mind is its flexibility. We can make moral judgments about cases we have never seen before. We can decide that pre-established rules should be broken. We can invent novel rules on the fly. Capturing this flexibility is one of the central challenges in developing AI systems that can interpret and produce human-like moral judgment. This paper details the results of a study of real-world decision makers who judge whether it is acceptable to break a well-established norm: ``no cutting in line.'' We gather data on how human participants judge the acceptability of line-cutting in a range of scenarios. Then, in order to effectively embed these reasoning capabilities into a machine, we propose a method for modeling them using a preference-based structure, which captures a novel modification to standard ``dual process'' theories of moral judgment.
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- 2022
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34. Combining Fast and Slow Thinking for Human-like and Efficient Navigation in Constrained Environments
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Ganapini, Marianna B., Campbell, Murray, Fabiano, Francesco, Horesh, Lior, Lenchner, Jon, Loreggia, Andrea, Mattei, Nicholas, Rahgooy, Taher, Rossi, Francesca, Srivastava, Biplav, and Venable, Brent
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Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Current AI systems lack several important human capabilities, such as adaptability, generalizability, self-control, consistency, common sense, and causal reasoning. We believe that existing cognitive theories of human decision making, such as the thinking fast and slow theory, can provide insights on how to advance AI systems towards some of these capabilities. In this paper, we propose a general architecture that is based on fast/slow solvers and a metacognitive component. We then present experimental results on the behavior of an instance of this architecture, for AI systems that make decisions about navigating in a constrained environment. We show how combining the fast and slow decision modalities allows the system to evolve over time and gradually pass from slow to fast thinking with enough experience, and that this greatly helps in decision quality, resource consumption, and efficiency., Comment: arXiv admin note: substantial text overlap with arXiv:2110.01834
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- 2022
35. High Mobility Free-Standing InSb Nanoflags Grown On InP Nanowire Stems For Quantum Devices
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Verma, Isha, Salimian, Sedighe, Zannier, Valentina, Heun, Stefan, Rossi, Francesca, Ercolani, Daniele, Beltram, Fabio, and Sorba, Lucia
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Condensed Matter - Mesoscale and Nanoscale Physics ,Condensed Matter - Materials Science - Abstract
High quality heteroepitaxial two-dimensional (2D) InSb layers are very difficult to realize owing to the large lattice mismatch with other widespread semiconductor substrates. A way around this problem is to grow free-standing 2D InSb nanostructures on nanowire (NW) stems, thanks to the capability of NWs to efficiently relax elastic strain along the sidewalls when lattice-mismatched semiconductor systems are integrated. In this work, we optimize the morphology of free-standing 2D InSb nanoflags (NFs). In particular, robust NW stems, optimized growth parameters, and the use of reflection high-energy electron diffraction (RHEED), to precisely orient the substrate for preferential growth, are implemented to increase the lateral size of the 2D InSb NFs. Transmission electron microscopy (TEM) analysis of these NFs reveals defect-free zinc blend crystal structure, stoichiometric composition, and relaxed lattice parameters. The resulting NFs are large enough to fabricate Hall-bar contacts with suitable length-to-width ratio enabling precise electrical characterization. An electron mobility of ~29,500 cm2/Vs is measured, which is the highest value reported for free-standing 2D InSb nanostrutures in literature. We envision the use of 2D InSb NFs for fabrication of advanced quantum devices., Comment: http://hdl.handle.net/11384/105250
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- 2021
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36. A fatally efficient machine. Insights into the ‘banality’ of the research evaluation exercise in Italy
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Spanò, Rosanna, Bracci, Enrico, Manes-Rossi, Francesca, and Sforza, Vincenzo
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- 2024
- Full Text
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37. Thinking Fast and Slow in AI: the Role of Metacognition
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Ganapini, Marianna Bergamaschi, Campbell, Murray, Fabiano, Francesco, Horesh, Lior, Lenchner, Jon, Loreggia, Andrea, Mattei, Nicholas, Rossi, Francesca, Srivastava, Biplav, and Venable, Kristen Brent
- Subjects
Computer Science - Artificial Intelligence - Abstract
AI systems have seen dramatic advancement in recent years, bringing many applications that pervade our everyday life. However, we are still mostly seeing instances of narrow AI: many of these recent developments are typically focused on a very limited set of competencies and goals, e.g., image interpretation, natural language processing, classification, prediction, and many others. Moreover, while these successes can be accredited to improved algorithms and techniques, they are also tightly linked to the availability of huge datasets and computational power. State-of-the-art AI still lacks many capabilities that would naturally be included in a notion of (human) intelligence. We argue that a better study of the mechanisms that allow humans to have these capabilities can help us understand how to imbue AI systems with these competencies. We focus especially on D. Kahneman's theory of thinking fast and slow, and we propose a multi-agent AI architecture where incoming problems are solved by either system 1 (or "fast") agents, that react by exploiting only past experience, or by system 2 (or "slow") agents, that are deliberately activated when there is the need to reason and search for optimal solutions beyond what is expected from the system 1 agent. Both kinds of agents are supported by a model of the world, containing domain knowledge about the environment, and a model of "self", containing information about past actions of the system and solvers' skills.
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- 2021
38. Making Human-Like Trade-offs in Constrained Environments by Learning from Demonstrations
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Glazier, Arie, Loreggia, Andrea, Mattei, Nicholas, Rahgooy, Taher, Rossi, Francesca, and Venable, K. Brent
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Computer Science - Artificial Intelligence ,Computer Science - Machine Learning ,Computer Science - Robotics ,I.2 - Abstract
Many real-life scenarios require humans to make difficult trade-offs: do we always follow all the traffic rules or do we violate the speed limit in an emergency? These scenarios force us to evaluate the trade-off between collective norms and our own personal objectives. To create effective AI-human teams, we must equip AI agents with a model of how humans make trade-offs in complex, constrained environments. These agents will be able to mirror human behavior or to draw human attention to situations where decision making could be improved. To this end, we propose a novel inverse reinforcement learning (IRL) method for learning implicit hard and soft constraints from demonstrations, enabling agents to quickly adapt to new settings. In addition, learning soft constraints over states, actions, and state features allows agents to transfer this knowledge to new domains that share similar aspects. We then use the constraint learning method to implement a novel system architecture that leverages a cognitive model of human decision making, multi-alternative decision field theory (MDFT), to orchestrate competing objectives. We evaluate the resulting agent on trajectory length, number of violated constraints, and total reward, demonstrating that our agent architecture is both general and achieves strong performance. Thus we are able to capture and replicate human-like trade-offs from demonstrations in environments when constraints are not explicit.
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- 2021
39. Data-driven Small-signal Modeling for Converter-based Power Systems
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Rossi, Francesca, Prieto-Araujo, Eduardo, Cheah-Mane, Marc, and Gomis-Bellmunt, Oriol
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Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Machine Learning - Abstract
This article details a complete procedure to derive a data-driven small-signal-based model useful to perform converter-based power system related studies. To compute the model, Decision Tree (DT) regression, both using single DT and ensemble DT, and Spline regression have been employed and their performances have been compared, in terms of accuracy, training and computing time. The methodology includes a comprehensive step-by-step procedure to develop the model: data generation by conventional simulation and mathematical models, databases (DBs) arrangement, regression training and testing, realizing prediction for new instances. The methodology has been developed using an essential network and then tested on a more complex system, to show the validity and usefulness of the suggested approach. Both power systems test cases have the essential characteristics of converter-based power systems, simulating high penetration of converter interfaced generation and the presence of HVDC links. Moreover, it is proposed how to represent in a visual manner the results of the small-signal stability analysis for a wide range of system operating conditions, exploiting DT regressions. Finally, the possible applications of the model are discussed, highlighting the potential of the developed model in further power system small-signal related studies.
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- 2021
40. The “Preeclampsia and Hypertension Target Treatment” study: a multicenter prospective study to evaluate the effectiveness of the antihypertensive therapy based on maternal hemodynamic findings
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di Pasquo, Elvira, Giannubilo, Stefano Raffaele, Valentini, Beatrice, Salvi, Silvia, Rullo, Roberta, Fruci, Stefano, Filippi, Elisa, Ornaghi, Sara, Zullino, Sara, Rossi, Francesca, Farsetti, Daniele, Di Martino, Daniela Denis, Vasapollo, Barbara, Locatelli, Anna, De Santis, Michela, Ciavattini, Andrea, Lanzone, Antonio, Mecacci, Federico, Ferrazzi, Enrico, Valensise, Hebert, and Ghi, Tullio
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- 2024
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41. Efficacy and Patients’ Satisfaction with the ORCAM MyEye Device Among Visually Impaired People: A Multicenter Study
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Amore, Filippo, Silvestri, Valeria, Guidobaldi, Margherita, Sulfaro, Marco, Piscopo, Paola, Turco, Simona, De Rossi, Francesca, Rellini, Emanuela, Fortini, Stefania, Rizzo, Stanislao, Perna, Fabiana, Mastropasqua, Leonardo, Bosch, Vanessa, Oest-Shirai, Luz Ruriko, Haddad, Maria Aparecida Onuki, Higashi, Alez Haruo, Sato, Rodrigo Hideharo, Pyatova, Yulia, Daibert-Nido, Monica, and Markowitz, Samuel N.
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- 2023
- Full Text
- View/download PDF
42. The biogeography of community assembly: latitude and predation drive variation in community trait distribution in a guild of epifaunal crustaceans
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Gross, Collin P, Duffy, J Emmett, Hovel, Kevin A, Kardish, Melissa R, Reynolds, Pamela L, Boström, Christoffer, Boyer, Katharyn E, Cusson, Mathieu, Eklöf, Johan, Engelen, Aschwin H, Eriksson, Britas Klemens, Fodrie, F Joel, Griffin, John N, Hereu, Clara M, Hori, Masakazu, Hughes, A Randall, Ivanov, Mikhail V, Jorgensen, Pablo, Kruschel, Claudia, Lee, Kun-Seop, Lefcheck, Jonathan, McGlathery, Karen, Moksnes, Per-Olav, Nakaoka, Masahiro, O'Connor, Mary I, O'Connor, Nessa E, Olsen, Jeanine L, Orth, Robert J, Peterson, Bradley J, Reiss, Henning, Rossi, Francesca, Ruesink, Jennifer, Sotka, Erik E, Thormar, Jonas, Tomas, Fiona, Unsworth, Richard, Voigt, Erin P, Whalen, Matthew A, Ziegler, Shelby L, and Stachowicz, John J
- Subjects
Animals ,Crustacea ,Ecosystem ,Oceans and Seas ,Predatory Behavior ,Zosteraceae ,community assembly ,functional traits ,latitudinal gradient ,predation ,historical contingency ,eelgrass epifauna ,Biological Sciences ,Agricultural and Veterinary Sciences ,Medical and Health Sciences - Abstract
While considerable evidence exists of biogeographic patterns in the intensity of species interactions, the influence of these patterns on variation in community structure is less clear. Studying how the distributions of traits in communities vary along global gradients can inform how variation in interactions and other factors contribute to the process of community assembly. Using a model selection approach on measures of trait dispersion in crustaceans associated with eelgrass (Zostera marina) spanning 30° of latitude in two oceans, we found that dispersion strongly increased with increasing predation and decreasing latitude. Ocean and epiphyte load appeared as secondary predictors; Pacific communities were more overdispersed while Atlantic communities were more clustered, and increasing epiphytes were associated with increased clustering. By examining how species interactions and environmental filters influence community structure across biogeographic regions, we demonstrate how both latitudinal variation in species interactions and historical contingency shape these responses. Community trait distributions have implications for ecosystem stability and functioning, and integrating large-scale observations of environmental filters, species interactions and traits can help us predict how communities may respond to environmental change.
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- 2022
43. ACM TechBrief: Generative Artificial Intelligence
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Leslie, David, primary and Rossi, Francesca, additional
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- 2023
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44. E-PDDL: A Standardized Way of Defining Epistemic Planning Problems
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Fabiano, Francesco, Srivastava, Biplav, Lenchner, Jonathan, Horesh, Lior, Rossi, Francesca, and Ganapini, Marianna Bergamaschi
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Computer Science - Artificial Intelligence ,Computer Science - Computation and Language - Abstract
Epistemic Planning (EP) refers to an automated planning setting where the agent reasons in the space of knowledge states and tries to find a plan to reach a desirable state from the current state. Its general form, the Multi-agent Epistemic Planning (MEP) problem involves multiple agents who need to reason about both the state of the world and the information flow between agents. In a MEP problem, multiple approaches have been developed recently with varying restrictions, such as considering only the concept of knowledge while not allowing the idea of belief, or not allowing for ``complex" modal operators such as those needed to handle dynamic common knowledge. While the diversity of approaches has led to a deeper understanding of the problem space, the lack of a standardized way to specify MEP problems independently of solution approaches has created difficulties in comparing performance of planners, identifying promising techniques, exploring new strategies like ensemble methods, and making it easy for new researchers to contribute to this research area. To address the situation, we propose a unified way of specifying EP problems - the Epistemic Planning Domain Definition Language, E-PDDL. We show that E-PPDL can be supported by leading MEP planners and provide corresponding parser code that translates EP problems specified in E-PDDL into (M)EP problems that can be handled by several planners. This work is also useful in building more general epistemic planning environments where we envision a meta-cognitive module that takes a planning problem in E-PDDL, identifies and assesses some of its features, and autonomously decides which planner is the best one to solve it., Comment: 9 pages, Knowledge Engineering for Planning and Scheduling - ICAPS 2021
- Published
- 2021
45. Spectroscopy of the local density-of-states in nanowires using integrated quantum dots
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Thomas, Frederick S., Nilsson, Malin, Ciaccia, Carlo, Jünger, Christian, Rossi, Francesca, Zannier, Valentina, Sorba, Lucia, Baumgartner, Andreas, and Schönenberger, Christian
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Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
In quantum dot (QD) electron transport experiments additional features can appear in the differential conductance $dI/dV$ that do not originate from discrete states in the QD, but rather from a modulation of the density-of-states (DOS) in the leads. These features are particularly pronounced when the leads are strongly confined low dimensional systems, such as in a nanowire (NW) where transport is one-dimensional and quasi-zero dimensional lead-states can emerge. In this paper we study such lead-states in InAs NWs. We use a QD integrated directly into the NW during the epitaxial growth as an energetically and spatially well-defined tunnel probe to perform $dI/dV$ spectroscopy of discrete bound states in the `left' and `right' NW lead segments. By tuning a sidegate in close proximity of one lead segment, we can distinguish transport features related to the modulation in the lead DOS and to excited states in the QD. We implement a non-interacting capacitance model and derive expressions for the slopes of QD and lead resonances that appear in two-dimensional plots of $dI/dV$ as a function of source-drain bias and gate voltage in terms of the different lever arms determined by the capacitive couplings. We discuss how the interplay between the lever arms affect the slopes. We verify our model by numerically calculating the $dI/dV$ using a resonant tunneling model with three non-interacting quantum dots in series. Finally, we used the model to describe the measured $dI/dV$ spectra and extract quantitatively the tunnel couplings of the lead segments. Our results constitute an important step towards a quantitative understanding of normal and superconducting subgap states in hybrid NW devices., Comment: 11 pages, 4 figures
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- 2021
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46. Melanoma-derived soluble mediators modulate neutrophil biological properties and the release of neutrophil extracellular traps
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Modestino, Luca, Cristinziano, Leonardo, Trocchia, Marialuisa, Ventrici, Annagioia, Capone, Mariaelena, Madonna, Gabriele, Loffredo, Stefania, Ferrara, Anne Lise, Romanelli, Marilena, Simeone, Ester, Varricchi, Gilda, Rossi, Francesca Wanda, de Paulis, Amato, Marone, Gianni, Ascierto, Paolo Antonio, and Galdiero, Maria Rosaria
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- 2023
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47. Growth and Strain Relaxation Mechanisms of InAs/InP/GaAsSb Core-Dual-Shell Nanowires
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Arif, Omer, Zannier, Valentina, Li, Ang, Rossi, Francesca, Ercolani, Daniele, Beltram, Fabio, and Sorba, Lucia
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Condensed Matter - Materials Science ,Condensed Matter - Mesoscale and Nanoscale Physics - Abstract
The combination of core/shell geometry and band gap engineering in nanowire heterostructures can be employed to realize systems with novel transport and optical properties. Here, we report on the growth of InAs/InP/GaAsSb core-dual-shell nanowires by catalyst-free chemical beam epitaxy on Si(111) substrates. Detailed morphological, structural, and compositional analyses of the nanowires as a function of growth parameters were carried out by scanning and transmission electron microscopy and by energy-dispersive X-ray spectroscopy. Furthermore, by combining the scanning transmission electron microscopy-Moire technique with geometric phase analysis, we studied the residual strain and the relaxation mechanisms in this system. We found that InP shell facets are well-developed along all the crystallographic directions only when the nominal thickness is above 1 nm, suggesting an island-growth mode. Moreover, the crystallographic analysis indicates that both InP and GaAsSb shells grow almost coherently to the InAs core along the 112 direction and elastically compressed along the 110 direction. For InP shell thickness above 8 nm, some dislocations and roughening occur at the interfaces. This study provides useful general guidelines for the fabrication of high-quality devices based on these core-dual-shell nanowires., Comment: This document is the Accepted Manuscript version of a Published Work that appeared in final form in Crystal Growth and Design, copyright \c{opyright} American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://pubs.acs.org/doi/abs/10.1021/acs.cgd.9b01421
- Published
- 2021
- Full Text
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48. Closing the Wound: Can Sutures Be Avoided?
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Menabuoni, Luca, Balestrazzi, Alessandra, Buzzonetti, Luca, Fasciani, Romina, Macaluso, Claudio, Mosca, Luigi, Pini, Roberto, Magni, Giada, Matteini, Paolo, Ratto, Fulvio, Rossi, Michele, Rossi, Francesca, Singh, Arun D., Series Editor, Alió, Jorge L., editor, and del Barrio, Jorge L. Alió, editor
- Published
- 2023
- Full Text
- View/download PDF
49. Thinking Fast and Slow in AI: The Role of Metacognition
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Ganapini, M. Bergamaschi, Campbell, Murray, Fabiano, Francesco, Horesh, Lior, Lenchner, Jon, Loreggia, Andrea, Mattei, Nicholas, Rossi, Francesca, Srivastava, Biplav, Venable, Kristen Brent, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nicosia, Giuseppe, editor, Ojha, Varun, editor, La Malfa, Emanuele, editor, La Malfa, Gabriele, editor, Pardalos, Panos, editor, Di Fatta, Giuseppe, editor, Giuffrida, Giovanni, editor, and Umeton, Renato, editor
- Published
- 2023
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- View/download PDF
50. Cobalt Oxide-Decorated Silicon Carbide Nano-Tree Array Electrode for Micro-Supercapacitor Application.
- Author
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Lee, Chuan-Pei, Murti, Bayu-Tri, Yang, Po-Kang, Rossi, Francesca, Carraro, Carlo, and Maboudian, Roya
- Subjects
chemical vapor deposition ,cobalt oxide ,micro-supercapacitor ,nanowire ,silicon carbide ,Chemical Sciences ,Engineering - Abstract
A cobalt oxide (Co3O4)-decorated silicon carbide (SiC) nano-tree array (denoted as Co3O4/SiC NTA) electrode is synthesized, and it is investigated for use in micro-supercapacitor applications. Firstly, the well-standing SiC nanowires (NWs) are prepared by nickel (Ni)-catalyzed chemical vapor deposition (CVD) method, and then the thin layer of Co3O4 and the hierarchical Co3O4 nano-flower-clusters are, respectively, fabricated on the side-walls and the top side of the SiC NWs via electrodeposition. The deposition of Co3O4 on the SiC NWs benefits the charge transfer at the electrode/aqueous electrolyte interface due to its extremely hydrophilic surface characteristic after Co3O4 decoration. Furthermore, the Co3O4/SiC NTA electrode provides a directional charge transport route along the length of SiC nanowires owing to their well-standing architecture. By using the Co3O4/SiC NTA electrode for micro-supercapacitor application, the areal capacitance obtained from cyclic voltammetry measurement reaches 845 mF cm-2 at a 10 mV s-1 scan rate. Finally, the capacitance durability is also evaluated by the cycling test of cyclic voltammetry at a high scan rate of 150 mV s-1 for 2000 cycles, exhibiting excellent stability.
- Published
- 2021
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