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  1. Article ; Online: Fair Max-Min Diversity Maximization in Streaming and Sliding-Window Models.

    Wang, Yanhao / Fabbri, Francesco / Mathioudakis, Michael / Li, Jia

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 7

    Abstract: Diversity maximization is a fundamental problem with broad applications in data summarization, web search, and recommender systems. Given a ... ...

    Abstract Diversity maximization is a fundamental problem with broad applications in data summarization, web search, and recommender systems. Given a set
    Language English
    Publishing date 2023-07-14
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25071066
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Built-in tensile strain dependence on the lateral size of monolayer MoS

    Seravalli, L / Esposito, F / Bosi, M / Aversa, L / Trevisi, G / Verucchi, R / Lazzarini, L / Rossi, F / Fabbri, F

    Nanoscale

    2023  Volume 15, Issue 35, Page(s) 14669–14678

    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, such as molybdenum disulfide, by employing ...

    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, such as molybdenum disulfide, by employing different growth substrates with peculiar thermal properties. In this work, we demonstrate that the built-in strain of MoS
    Language English
    Publishing date 2023-09-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 2515664-0
    ISSN 2040-3372 ; 2040-3364
    ISSN (online) 2040-3372
    ISSN 2040-3364
    DOI 10.1039/d3nr01687k
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Improvements in Systemic Therapies for Advanced Malignant Mesothelioma.

    Deiana, Chiara / Fabbri, Francesca / Tavolari, Simona / Palloni, Andrea / Brandi, Giovanni

    International journal of molecular sciences

    2023  Volume 24, Issue 13

    Abstract: Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy associated with poor prognosis and a 5-year survival rate of 12%. Many drugs have been tested over the years with conflicting results. The aim of this review is to provide an ... ...

    Abstract Malignant pleural mesothelioma (MPM) is a rare and aggressive malignancy associated with poor prognosis and a 5-year survival rate of 12%. Many drugs have been tested over the years with conflicting results. The aim of this review is to provide an overview of current therapies in MPM and how to best interpret the data available on these drugs. Furthermore, we focused on promising treatments under investigation, such as immunotherapy with targets different from anti-PD-1/PD-L1 inhibitors, vaccines, target therapies, and metabolism-based strategies.
    MeSH term(s) Humans ; Mesothelioma, Malignant ; Mesothelioma/drug therapy ; Lung Neoplasms/pathology ; Pleural Neoplasms/drug therapy ; Pleural Neoplasms/pathology ; Immunotherapy/methods
    Language English
    Publishing date 2023-06-21
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms241310415
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Periodic Structural Defects in Graphene Sheets Engineered via Electron Irradiation.

    Melchioni, Nicola / Fabbri, Filippo / Tredicucci, Alessandro / Bianco, Federica

    Micromachines

    2022  Volume 13, Issue 10

    Abstract: Artificially-induced defects in the lattice of graphene are a powerful tool for engineering the properties of the crystal, especially if organized in highly-ordered structures such as periodic arrays. A method to deterministically induce defects in ... ...

    Abstract Artificially-induced defects in the lattice of graphene are a powerful tool for engineering the properties of the crystal, especially if organized in highly-ordered structures such as periodic arrays. A method to deterministically induce defects in graphene is to irradiate the crystal with low-energy (<20 keV) electrons delivered by a scanning electron microscope. However, the nanometric precision granted by the focused beam can be hindered by the pattern irradiation itself due to the small lateral separation among the elements, which can prevent the generation of sharp features. An accurate analysis of the achievable resolution is thus essential for practical applications. To this end, we investigated patterns generated by low-energy electron irradiation combining atomic force microscopy and micro-Raman spectroscopy measurements. We proved that it is possible to create well-defined periodic patterns with precision of a few tens of nanometers. We found that the defected lines are influenced by electrons back-scattered by the substrate, which limit the achievable resolution. We provided a model that takes into account such substrate effects. The findings of our study allow the design and easily accessible fabrication of graphene devices featuring complex defect engineering, with a remarkable impact on technologies exploiting the increased surface reactivity.
    Language English
    Publishing date 2022-10-03
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2620864-7
    ISSN 2072-666X
    ISSN 2072-666X
    DOI 10.3390/mi13101666
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Emerging Roles of Aldehyde Dehydrogenase Isoforms in Anti-cancer Therapy Resistance.

    Zanoni, Michele / Bravaccini, Sara / Fabbri, Francesco / Arienti, Chiara

    Frontiers in medicine

    2022  Volume 9, Page(s) 795762

    Abstract: Aldehyde dehydrogenases (ALDHs) are a family of detoxifying enzymes often upregulated in cancer cells and associated with therapeutic resistance. In humans, the ALDH family comprises 19 isoenzymes active in the majority of mammalian tissues. Each ALDH ... ...

    Abstract Aldehyde dehydrogenases (ALDHs) are a family of detoxifying enzymes often upregulated in cancer cells and associated with therapeutic resistance. In humans, the ALDH family comprises 19 isoenzymes active in the majority of mammalian tissues. Each ALDH isoform has a specific differential expression pattern and most of them have individual functional roles in cancer. ALDHs are overexpressed in subpopulations of cancer cells with stem-like features, where they are involved in several processes including cellular proliferation, differentiation, detoxification and survival, participating in lipids and amino acid metabolism and retinoic acid synthesis. In particular, ALDH enzymes protect cancer cells by metabolizing toxic aldehydes in less reactive and more soluble carboxylic acids. High metabolic activity as well as conventional anticancer therapies contribute to aldehyde accumulation, leading to DNA double strand breaks (DSB) through the generation of reactive oxygen species (ROS) and lipid peroxidation. ALDH overexpression is crucial not only for the survival of cancer stem cells but can also affect immune cells of the tumour microenvironment (TME). The reduction of ROS amount and the increase in retinoic acid signaling impairs immunogenic cell death (ICD) inducing the activation and stability of immunosuppressive regulatory T cells (Tregs). Dissecting the role of ALDH specific isoforms in the TME can open new scenarios in the cancer treatment. In this review, we summarize the current knowledge about the role of ALDH isoforms in solid tumors, in particular in association with therapy-resistance.
    Language English
    Publishing date 2022-03-01
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2775999-4
    ISSN 2296-858X
    ISSN 2296-858X
    DOI 10.3389/fmed.2022.795762
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Overexpression of ultraconserved region 83- induces lung cancer tumorigenesis.

    Vannini, Ivan / Ferracin, Manuela / Fabbri, Francesco / Fabbri, Muller

    PloS one

    2022  Volume 17, Issue 1, Page(s) e0261464

    Abstract: The expression of non-coding RNAs (ncRNAs) is dysregulated in human cancers. The transcribed ultraconserved regions (T-UCRs) express long ncRNAs involved in human carcinogenesis. T-UCRs are non-coding genomic sequence that are 100% conserved across ... ...

    Abstract The expression of non-coding RNAs (ncRNAs) is dysregulated in human cancers. The transcribed ultraconserved regions (T-UCRs) express long ncRNAs involved in human carcinogenesis. T-UCRs are non-coding genomic sequence that are 100% conserved across humans, rats and mice. Conservation of genomic sequences across species intrinsically implies an essential functional role and so we considered the expression of T-UCRs in lung cancer. Using a custom microarray we analyzed the global expression of T-UCRs. Among these T-UCRs, the greatest variation was observed for antisense ultraconserved element 83 (uc.83-), which was upregulated in human lung cancer tissues compared with adjacent non cancerous tissues. Even though uc.83- is located within the long intergenic non-protein coding RNA 1876 (LINC01876) gene, we found that the transcribed uc.83- is expressed independently of LINC01876 and was cloned as a 1143-bp RNA gene. In this study, functional analysis confirmed important effects of uc.83- on genes involved in cell growth of human cells. siRNA against uc.83- decreased the growth of lung cancer cells while the upregulation through a vector overexpressing the uc.83- RNA increased cell proliferation. We also show the oncogenic function of uc.83- is mediated by the phosphorylation of AKT and ERK 1/2, two important biomarkers of lung cancer cell proliferation. Based on our findings, inhibition against uc.83- could be a future therapeutic treatment for NSCLC to achieve simultaneous blockade of pathways involved in lung carcinogenesis.
    MeSH term(s) Carcinogenesis/genetics ; Carcinoma, Non-Small-Cell Lung/genetics ; Carcinoma, Non-Small-Cell Lung/pathology ; Cell Cycle Checkpoints ; Cell Line, Tumor ; Cell Proliferation ; Gene Expression Regulation, Neoplastic ; Humans ; Lung Neoplasms/genetics ; Lung Neoplasms/pathology ; Mitogen-Activated Protein Kinase 1/metabolism ; Mitogen-Activated Protein Kinase 3/metabolism ; Phosphorylation ; Proto-Oncogene Proteins c-akt/metabolism ; RNA Interference ; RNA, Long Noncoding/antagonists & inhibitors ; RNA, Long Noncoding/genetics ; RNA, Long Noncoding/metabolism ; RNA, Small Interfering/metabolism ; Up-Regulation
    Chemical Substances RNA, Long Noncoding ; RNA, Small Interfering ; Proto-Oncogene Proteins c-akt (EC 2.7.11.1) ; Mitogen-Activated Protein Kinase 1 (EC 2.7.11.24) ; Mitogen-Activated Protein Kinase 3 (EC 2.7.11.24)
    Language English
    Publishing date 2022-01-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0261464
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Conference proceedings: 44th International Symposium on Multiparticle Dynamics (ISMD 2014)

    Fabbri, F

    Bologna, Italy, 8 - 12 September 2014

    (EPJ web of conferences ; 90)

    2015  

    Event/congress ISMD (44, 2014.09.08-12, Bologna) ; International Symposium on Multiparticle Dynamics (44, 2014.09.08-12, Bologna)
    Author's details ed. by F. Fabbri
    Series title EPJ web of conferences ; 90
    Language English
    Size 312 S.
    Publisher Curran
    Publishing place Red Hook, NY
    Document type Book ; Conference proceedings
    ISBN 9781510801769 ; 1510801766
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  8. Book ; Online: Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation

    Boratto, Ludovico / Fabbri, Francesco / Fenu, Gianni / Marras, Mirko / Medda, Giacomo

    2024  

    Abstract: Efforts in the recommendation community are shifting from the sole emphasis on utility to considering beyond-utility factors, such as fairness and robustness. Robustness of recommendation models is typically linked to their ability to maintain the ... ...

    Abstract Efforts in the recommendation community are shifting from the sole emphasis on utility to considering beyond-utility factors, such as fairness and robustness. Robustness of recommendation models is typically linked to their ability to maintain the original utility when subjected to attacks. Limited research has explored the robustness of a recommendation model in terms of fairness, e.g., the parity in performance across groups, under attack scenarios. In this paper, we aim to assess the robustness of graph-based recommender systems concerning fairness, when exposed to attacks based on edge-level perturbations. To this end, we considered four different fairness operationalizations, including both consumer and provider perspectives. Experiments on three datasets shed light on the impact of perturbations on the targeted fairness notion, uncovering key shortcomings in existing evaluation protocols for robustness. As an example, we observed perturbations affect consumer fairness on a higher extent than provider fairness, with alarming unfairness for the former. Source code: https://github.com/jackmedda/CPFairRobust
    Keywords Computer Science - Information Retrieval
    Subject code 338
    Publishing date 2024-01-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Influence of organic promoter gradient on the MoS

    Rotunno, E / Bosi, M / Seravalli, L / Salviati, G / Fabbri, F

    Nanoscale advances

    2020  Volume 2, Issue 6, Page(s) 2352–2362

    Abstract: Chemical vapor deposition has been demonstrated to be the most efficient, versatile and reliable technique for the synthesis of monolayers of transition metal dichalcogenides. The use of organic promoters during the growth process was a turning point in ... ...

    Abstract Chemical vapor deposition has been demonstrated to be the most efficient, versatile and reliable technique for the synthesis of monolayers of transition metal dichalcogenides. The use of organic promoters during the growth process was a turning point in order to increase the monolayer lateral size or to obtain complete coverage of the growth substrate. In this work we clarify the influence of the promoter gradient on the growth dynamics of MoS
    Language English
    Publishing date 2020-04-13
    Publishing country England
    Document type Journal Article
    ISSN 2516-0230
    ISSN (online) 2516-0230
    DOI 10.1039/d0na00147c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Max-Min Diversification with Fairness Constraints

    Wang, Yanhao / Mathioudakis, Michael / Li, Jia / Fabbri, Francesco

    Exact and Approximation Algorithms

    2023  

    Abstract: Diversity maximization aims to select a diverse and representative subset of items from a large dataset. It is a fundamental optimization task that finds applications in data summarization, feature selection, web search, recommender systems, and ... ...

    Abstract Diversity maximization aims to select a diverse and representative subset of items from a large dataset. It is a fundamental optimization task that finds applications in data summarization, feature selection, web search, recommender systems, and elsewhere. However, in a setting where data items are associated with different groups according to sensitive attributes like sex or race, it is possible that algorithmic solutions for this task, if left unchecked, will under- or over-represent some of the groups. Therefore, we are motivated to address the problem of \emph{max-min diversification with fairness constraints}, aiming to select $k$ items to maximize the minimum distance between any pair of selected items while ensuring that the number of items selected from each group falls within predefined lower and upper bounds. In this work, we propose an exact algorithm based on integer linear programming that is suitable for small datasets as well as a $\frac{1-\varepsilon}{5}$-approximation algorithm for any $\varepsilon \in (0, 1)$ that scales to large datasets. Extensive experiments on real-world datasets demonstrate the superior performance of our proposed algorithms over existing ones.

    Comment: 13 pages, 8 figures, to appear in SDM '23
    Keywords Computer Science - Data Structures and Algorithms ; Computer Science - Computers and Society ; Computer Science - Machine Learning
    Subject code 006 ; 004
    Publishing date 2023-01-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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