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  1. Book ; Thesis: Quantitative Untersuchung der Expression des Serotonintransporters in Abhängigkeit von Genotyp, Geschlecht und hormonellem Status

    Pagani, Susanne

    2009  

    Author's details vorgelegt von Susanne Pagani
    Subject code 615.7
    Language German
    Size V, 66 Bl. : Ill., graph. Darst., 30 cm
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Ulm, Univ., Diss., 2010
    HBZ-ID HT016621401
    Database Catalogue ZB MED Medicine, Health

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    2010 E 3130 order for loan Magazin

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  2. Article ; Online: Learning the intrinsic dynamics of spatio-temporal processes through Latent Dynamics Networks.

    Regazzoni, Francesco / Pagani, Stefano / Salvador, Matteo / Dede', Luca / Quarteroni, Alfio

    Nature communications

    2024  Volume 15, Issue 1, Page(s) 1834

    Abstract: Predicting the evolution of systems with spatio-temporal dynamics in response to external stimuli is essential for scientific progress. Traditional equations-based approaches leverage first principles through the numerical approximation of differential ... ...

    Abstract Predicting the evolution of systems with spatio-temporal dynamics in response to external stimuli is essential for scientific progress. Traditional equations-based approaches leverage first principles through the numerical approximation of differential equations, thus demanding extensive computational resources. In contrast, data-driven approaches leverage deep learning algorithms to describe system evolution in low-dimensional spaces. We introduce an architecture, termed Latent Dynamics Network, capable of uncovering low-dimensional intrinsic dynamics in potentially non-Markovian systems. Latent Dynamics Networks automatically discover a low-dimensional manifold while learning the system dynamics, eliminating the need for training an auto-encoder and avoiding operations in the high-dimensional space. They predict the evolution, even in time-extrapolation scenarios, of space-dependent fields without relying on predetermined grids, thus enabling weight-sharing across query-points. Lightweight and easy-to-train, Latent Dynamics Networks demonstrate superior accuracy (normalized error 5 times smaller) in highly-nonlinear problems with significantly fewer trainable parameters (more than 10 times fewer) compared to state-of-the-art methods.
    Language English
    Publishing date 2024-02-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-024-45323-x
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Enabling forward uncertainty quantification and sensitivity analysis in cardiac electrophysiology by reduced order modeling and machine learning.

    Pagani, Stefano / Manzoni, Andrea

    International journal for numerical methods in biomedical engineering

    2021  Volume 37, Issue 6, Page(s) e3450

    Abstract: We present a new, computationally efficient framework to perform forward uncertainty quantification (UQ) in cardiac electrophysiology. We consider the monodomain model to describe the electrical activity in the cardiac tissue, coupled with the Aliev- ... ...

    Abstract We present a new, computationally efficient framework to perform forward uncertainty quantification (UQ) in cardiac electrophysiology. We consider the monodomain model to describe the electrical activity in the cardiac tissue, coupled with the Aliev-Panfilov model to characterize the ionic activity through the cell membrane. We address a complete forward UQ pipeline, including both: (i) a variance-based global sensitivity analysis for the selection of the most relevant input parameters, and (ii) a way to perform uncertainty propagation to investigate the impact of intra-subject variability on outputs of interest depending on the cardiac potential. Both tasks exploit stochastic sampling techniques, thus implying overwhelming computational costs because of the huge amount of queries to the high-fidelity, full-order computational model obtained by approximating the coupled monodomain/Aliev-Panfilov system through the finite element method. To mitigate this computational burden, we replace the full-order model with computationally inexpensive projection-based reduced-order models (ROMs) aimed at reducing the state-space dimensionality. Resulting approximation errors on the outputs of interest are finally taken into account through artificial neural network (ANN)-based models, enhancing the accuracy of the whole UQ pipeline. Numerical results show that the proposed physics-based ROMs outperform regression-based emulators relying on ANNs built with the same amount of training data, in terms of both numerical accuracy and overall computational efficiency.
    MeSH term(s) Electrophysiologic Techniques, Cardiac ; Heart ; Machine Learning ; Neural Networks, Computer ; Uncertainty
    Language English
    Publishing date 2021-05-07
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2540968-2
    ISSN 2040-7947 ; 2040-7939
    ISSN (online) 2040-7947
    ISSN 2040-7939
    DOI 10.1002/cnm.3450
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  4. Article ; Online: Evaluating Mentors in Violence Prevention: A Longitudinal, Multilevel Assessment of Outcome Changes.

    Pagani, Stefania / Hunter, Simon C / Lawrence, David / Elliott, Mark A

    Journal of youth and adolescence

    2023  Volume 52, Issue 7, Page(s) 1390–1404

    Abstract: There is a need to increase understanding of the effectiveness of bystander programmes targeting gender-based violence in the United Kingdom. There is also a need to utilise a robust theoretical models of decision-making while doing so. Changes were ... ...

    Abstract There is a need to increase understanding of the effectiveness of bystander programmes targeting gender-based violence in the United Kingdom. There is also a need to utilise a robust theoretical models of decision-making while doing so. Changes were examined in bystanders' attitudes, beliefs, motivations towards intervening, and intervention behavior in situations of gender-based violence. To achieve this, a quantitative examination of Mentors in Violence Prevention was conducted. There were 1396 participants (50% female, 50% male) who were aged 11 to 14 years old (M = 12.25, SD = 0.84) attending high school at the first time point. Participants were attending 17 schools (53% Mentors in Violence Prevention and 47% control) in Scotland. Outcome variables were assessed approximately one year apart using questionnaires. Multilevel linear regressions revealed that Mentors in Violence Prevention did not change outcomes reflecting bystanders' attitudes, beliefs, motivations towards intervening, or intervention behavior in gender-based violence. Discrepancies between the current findings and those of other evaluations may be due to other studies including small numbers of schools that may be more motivated to implement the program. This study also identified two key issues that need to be addressed at stakeholder level before concluding that Mentors in Violence Prevention is ineffective at targeting gender-based violence. That the program has moved towards a more gender-neutral approach in the United Kingdom could explain the null results of this study. Furthermore, the current findings could be attributed to a failure to adequately address the theoretical model underpinning the program in practice.
    MeSH term(s) Humans ; Male ; Female ; Child ; Adolescent ; Mentors ; Violence/prevention & control ; Schools ; Linear Models ; Surveys and Questionnaires
    Language English
    Publishing date 2023-04-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 186743-x
    ISSN 1573-6601 ; 0047-2891
    ISSN (online) 1573-6601
    ISSN 0047-2891
    DOI 10.1007/s10964-023-01781-y
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  5. Article ; Online: Evaluating the Mentors in Violence Prevention Program: A Process Examination of How Implementation Can Affect Gender-Based Violence Outcomes.

    Pagani, Stefania / Hunter, Simon C / Elliott, Mark A

    Journal of interpersonal violence

    2022  Volume 38, Issue 3-4, Page(s) 4390–4415

    Abstract: Gender-based violence is a global public health issue and major human rights concern. It is also a type of violence that is disproportionately experienced by women and girls. This study is the first to examine multiple implementation process (dosage, ... ...

    Abstract Gender-based violence is a global public health issue and major human rights concern. It is also a type of violence that is disproportionately experienced by women and girls. This study is the first to examine multiple implementation process (dosage, fidelity, and adaptation) effects on changes in anticipated outcomes of a school-based bystander program targeting gender-based violence, Mentors in Violence Prevention (MVP). Data were collected from two participant groups: mentees (students receiving MVP) and mentors (students delivering MVP), across nine participating high schools. The mentee sample comprised 698 students (about 48.9% males and 49.7% females), aged 11 to 14 years old (
    MeSH term(s) Male ; Humans ; Female ; Child ; Adolescent ; Mentors ; Gender-Based Violence ; Violence/prevention & control ; Students ; Schools
    Language English
    Publishing date 2022-07-29
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2028900-5
    ISSN 1552-6518 ; 0886-2605
    ISSN (online) 1552-6518
    ISSN 0886-2605
    DOI 10.1177/08862605221115117
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  6. Article ; Online: Universal Solution Manifold Networks (USM-Nets): Non-Intrusive Mesh-Free Surrogate Models for Problems in Variable Domains.

    Regazzoni, Francesco / Pagani, Stefano / Quarteroni, Alfio

    Journal of biomechanical engineering

    2022  Volume 144, Issue 12

    Abstract: We introduce universal solution manifold network (USM-Net), a novel surrogate model, based on artificial neural networks (ANNs), which applies to differential problems whose solution depends on physical and geometrical parameters. We employ a mesh-less ... ...

    Abstract We introduce universal solution manifold network (USM-Net), a novel surrogate model, based on artificial neural networks (ANNs), which applies to differential problems whose solution depends on physical and geometrical parameters. We employ a mesh-less architecture, thus overcoming the limitations associated with image segmentation and mesh generation required by traditional discretization methods. Our method encodes geometrical variability through scalar landmarks, such as coordinates of points of interest. In biomedical applications, these landmarks can be inexpensively processed from clinical images. We present proof-of-concept results obtained with a data-driven loss function based on simulation data. Nonetheless, our framework is non-intrusive and modular, as we can modify the loss by considering additional constraints, thus leveraging available physical knowledge. Our approach also accommodates a universal coordinate system, which supports the USM-Net in learning the correspondence between points belonging to different geometries, boosting prediction accuracy on unobserved geometries. Finally, we present two numerical test cases in computational fluid dynamics involving variable Reynolds numbers as well as computational domains of variable shape. The results show that our method allows for inexpensive but accurate approximations of velocity and pressure, avoiding computationally expensive image segmentation, mesh generation, or re-training for every new instance of physical parameters and shape of the domain.
    MeSH term(s) Computer Simulation ; Neural Networks, Computer
    Language English
    Publishing date 2022-08-22
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 243094-0
    ISSN 1528-8951 ; 0148-0731
    ISSN (online) 1528-8951
    ISSN 0148-0731
    DOI 10.1115/1.4055285
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    Zs.B 2672: Show issues Location:
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  7. Article ; Online: Bystander intervention among secondary school pupils: Testing an augmented Prototype Willingness Model.

    Pagani, Stefania / Hunter, Simon C / Elliott, Mark A

    The British journal of social psychology

    2022  Volume 61, Issue 4, Page(s) 1221–1244

    Abstract: This study augmented the Prototype Willingness Model (PWM) to assess reactive and deliberative decision-making underpinning bystander intervention in gender-based violence contexts. There were 2079 participants (50% male, 49% female, and 1% unreported), ... ...

    Abstract This study augmented the Prototype Willingness Model (PWM) to assess reactive and deliberative decision-making underpinning bystander intervention in gender-based violence contexts. There were 2079 participants (50% male, 49% female, and 1% unreported), aged 11-15 years old (M = 12.32, SD = 0.91), attending 19 secondary schools across Scotland. Participants self-reported the augmented PWM variables, then their intervention behaviour approximately 1 month later. Path analyses mostly supported the predicted relationships between positive and negative bidimensional attitudes, subjective norms, prototype perceptions, perceived behavioural control, and self-efficacy on intentions and willingness. Willingness predicted positive (speaking with a teacher) and negative (doing nothing) intervention in less serious violence. Self-efficacy predicted negative intervention in more serious violence. Subjective norms positively moderated the attitudes-intentions relationship. Overall, the results suggested that reactive (willingness) more so than deliberative (intention) decision-making account for intervention when young people witness gender-based violence. Additionally, the findings highlight the complexity of bystander intervention decision-making, where adding control perceptions, bidimensional attitudes, and moderators have independent contributions. Furthermore, self-comparison to the typical bystander who positively intervenes (prototype perceptions) was the strongest predictor of intentions and willingness, highlighting in a novel way the importance of image and group membership on decision-making.
    MeSH term(s) Adolescent ; Attitude ; Child ; Female ; Humans ; Intention ; Male ; Schools ; Scotland ; Self Efficacy
    Language English
    Publishing date 2022-03-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 625325-8
    ISSN 2044-8309 ; 0144-6665
    ISSN (online) 2044-8309
    ISSN 0144-6665
    DOI 10.1111/bjso.12534
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  8. Article ; Online: Data integration for the numerical simulation of cardiac electrophysiology.

    Pagani, Stefano / Dede', Luca / Manzoni, Andrea / Quarteroni, Alfio

    Pacing and clinical electrophysiology : PACE

    2021  Volume 44, Issue 4, Page(s) 726–736

    Abstract: The increasing availability of extensive and accurate clinical data is rapidly shaping cardiovascular care by improving the understanding of physiological and pathological mechanisms of the cardiovascular system and opening new frontiers in designing ... ...

    Abstract The increasing availability of extensive and accurate clinical data is rapidly shaping cardiovascular care by improving the understanding of physiological and pathological mechanisms of the cardiovascular system and opening new frontiers in designing therapies and interventions. In this direction, mathematical and numerical models provide a complementary relevant tool, able not only to reproduce patient-specific clinical indicators but also to predict and explore unseen scenarios. With this goal, clinical data are processed and provided as inputs to the mathematical model, which quantitatively describes the physical processes that occur in the cardiac tissue. In this paper, the process of integration of clinical data and mathematical models is discussed. Some challenges and contributions in the field of cardiac electrophysiology are reported.
    MeSH term(s) Computer Simulation ; Electrophysiologic Techniques, Cardiac ; Humans ; Models, Cardiovascular ; Models, Statistical
    Language English
    Publishing date 2021-03-08
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 424437-0
    ISSN 1540-8159 ; 0147-8389
    ISSN (online) 1540-8159
    ISSN 0147-8389
    DOI 10.1111/pace.14198
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    Zs.MO 399: Show issues

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  9. Article ; Online: RNA Extraction from Cartilage: Issues, Methods, Tips.

    Pagani, Stefania / Maglio, Melania / Sicuro, Laura / Fini, Milena / Giavaresi, Gianluca / Brogini, Silvia

    International journal of molecular sciences

    2023  Volume 24, Issue 3

    Abstract: The increase in degenerative diseases involving articular cartilage has pushed research to focus on their pathogenesis and treatment, exploiting increasingly complex techniques. Gene expression analyses from tissue are representative of the in vivo ... ...

    Abstract The increase in degenerative diseases involving articular cartilage has pushed research to focus on their pathogenesis and treatment, exploiting increasingly complex techniques. Gene expression analyses from tissue are representative of the in vivo situation, but the protocols to be applied to obtain a reliable analysis are not completely cleared through customs. Thus, RNA extraction from fresh samples and specifically from musculoskeletal tissue such as cartilage is still a challenging issue. The aim of the review is to provide an overview of the techniques described in the literature for RNA extraction, highlighting limits and possibilities. The research retrieved 65 papers suitable for the purposes. The results highlighted the great difficulty in comparing the different studies, both for the sources of tissue used and for the techniques employed, as well as the details about protocols. Few papers compared different RNA extraction methods or homogenization techniques; the case study reported by authors about RNA extraction from sheep cartilage has not found an analog in the literature, confirming the existence of a relevant blank on studies about RNA extraction from cartilage tissue. However, the state of the art depicted can be used as a starting point to improve and expand studies on this topic.
    MeSH term(s) Animals ; Sheep ; Cartilage, Articular/pathology ; Cartilage Diseases/therapy ; RNA/genetics
    Chemical Substances RNA (63231-63-0)
    Language English
    Publishing date 2023-01-20
    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/ijms24032120
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  10. Article: Anti-Oxidant Multi-Functionalized Materials: Strontium-Substituted Monetite and Brushite as Delivery Systems for Curcumin.

    Silingardi, Francesca / Pagani, Stefania / Gambardella, Alessandro / Giavaresi, Gianluca / Bigi, Adriana / Boanini, Elisa

    Pharmaceutics

    2023  Volume 15, Issue 5

    Abstract: Curcumin has numerous biological activities and pharmaceutical applications related to its ability to inhibit reactive oxygen species. Herein, strontium-substituted monetite (SrDCPA) and strontium-substituted brushite (SrDCPD) were synthesized and ... ...

    Abstract Curcumin has numerous biological activities and pharmaceutical applications related to its ability to inhibit reactive oxygen species. Herein, strontium-substituted monetite (SrDCPA) and strontium-substituted brushite (SrDCPD) were synthesized and further functionalized with curcumin with the aim to develop materials that combine the anti-oxidant properties of the polyphenol, the beneficial role of strontium toward bone tissue, and the bioactivity of calcium phosphates. Adsorption from hydroalcoholic solution increases with time and curcumin concentration, up to about 5-6 wt%, without affecting the crystal structure, morphology, and mechanical response of the substrates. The multi-functionalized substrates exhibit a relevant radical scavenging activity and a sustained release in phosphate buffer. Cell viability, morphology, and expression of the most representative genes were tested for osteoclast seeded in direct contact with the materials and for osteoblast/osteoclast co-cultures. The materials at relatively low curcumin content (2-3 wt%) maintain inhibitory effects on osteoclasts and support the colonization and viability of osteoblasts. The expressions of Alkaline Phosphatase (
    Language English
    Publishing date 2023-04-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527217-2
    ISSN 1999-4923
    ISSN 1999-4923
    DOI 10.3390/pharmaceutics15051344
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