Marianna Cerasuolo

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Reader in Numerical Analysis and Scientific Computation

University of Sussex

United Kingdom

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About

Marianna Cerasuolo is a Reader in Numerical Analysis and Scientific Computation at the University of Sussex, UK. Her research focuses on areas such as carbon provenance in seagrass ecosystems, soil quality improvement in Mediterranean agricultural systems, and the dynamics of prostate cancer. Recent work includes modeling carbon dynamics in diverse cropping systems and examining bioenergetic alterations in cancer cells.

Recent Grants

Grant: Close

Crop diversification and low-input farming across Europe: from practitioners’ engagement and ecosystems services to increased revenues and value chain organisation (DIVERFARMING)

Open Date: 2017-05-01

Close Date: 2022-04-01

Articles (11)

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2020

Collaborators (3)

Arianna Giacomini

University of Brescia

ITALY

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Andrew David Burbanks

Academic, Associate Head, Associate Head (Research and Innovation)

University of Portsmouth

UNITED KINGDOM

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Saseendran Pallikadavath

Academic, Professor, Professor of Demography and Global Health

University of Portsmouth

UNITED KINGDOM

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Marianna Cerasuolo

Research Interests

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About

Recent Grants

Articles (11)

Mixed provenance of organic carbon in Northeast Atlantic temperate intertidal seagrass sediments

No tillage and leguminous cover crop improve soil quality in a typical rainfed Mediterranean system

Global patterns in seagrass leaf and sediment carbon isotope fractionation have implications for carbon provenance calculations in blue carbon accreditation

Cannabidiol alters mitochondrial bioenergetics via VDAC1 and triggers cell death in hormone-refractory prostate cancer

A hybrid spatiotemporal model of PCa dynamics and insights into optimal therapeutic strategies

Modeling soil carbon under diverse cropping systems and farming management in contrasting climatic regions in Europe

FGFR blockade by pemigatinib treats naïve and castration resistant prostate cancer

Investigating the risk factors for contraction and diagnosis of human tuberculosis in Indonesia using data from the fifth wave of RAND’s Indonesian Family Life Survey (IFLS-5)

PCa dynamics with neuroendocrine differentiation and distributed delay

Mathematical insights into neuroendocrine transdifferentiation of human prostate cancer cells

Modeling acquired resistance to the second-generation androgen receptor antagonist enzalutamide in the TRAMP model of prostate cancer

Collaborators (3)

Arianna Giacomini

Andrew David Burbanks

Saseendran Pallikadavath

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