Reassessment of the 2010-2011 Haiti cholera outbreak and rainfall-driven multiseason projections

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This thesis explores the integration of artificial intelligence (AI) and, more specifically, large language models (LLMs) in public health practice by exploring the intersection between AI, public health and research and their impact in public health disco ...

vanishing viscosity, networks. This work has received funding from the Alexander von Humboldt-Professorship program, the Transregio 154 Project "Mathematical Modelling, Simulation and Optimization Using the Example of Gas Networks" of the DFG, the grant PI ...

Cholera, caused by the bacterium Vibrio cholerae, has affected humanity throughout history and still impacts millions of people every year. Apart from being a human pathogen, V. cholerae is a common member of the aquatic environment. Due to this natural re ...

Vibrio cholerae has caused seven cholera pandemics in the past two centuries. The seventh and ongoing pandemic has been particularly severe on the African continent. Here, we report long read-based genome sequences of six V. cholerae strains isolated in th ...

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...

We focus on distinctive data-driven measures of the fate of ongoing epidemics. The relevance of our pursuit is suggested by recent results proving that the short-term temporal evolution of infection spread is described by an epidemicity index related to th ...

Influenza is an infectious respiratory illness caused by influenza viruses. Every year, it causes up to one billion cases of disease worldwide. Despite its high disease burden, the transmission pathway of influenza remains subject to debate. There is incre ...

Microorganisms, encompassing both uni- and multicellular entities, exhibit remarkable diversity as omnipresent life forms in nature. They play a pivotal role by supplying essential components for sustaining biological processes across diverse ecosystems, i ...

In the context of SARS-CoV-2 pandemic, mathematical modelling has played a funda-mental role for making forecasts, simulating scenarios and evaluating the impact of pre-ventive political, social and pharmaceutical measures. Optimal control theory represent ...

Vibrio cholerae is a pathogen that causes disease in millions of people every year by colonizing the small intestine and then secreting the potent cholera toxin. How the pathogen overcomes the colonization barrier created by the host’s natural microbiota i ...

Life-threatening "breakthrough"cases of critical COVID-19 are attributed to poor or waning antibody (Ab) response to SARS-CoV-2 vaccines in individuals already at risk. Preexisting auto-Abs neutralizing type I IFNs underlie at least 15% of critical COVID-1 ...

Aortic diastolic pressure decay (DPD) has been shown to have considerable pathophysiological relevance in the assessment of vascular health, as it is significantly affected by arterial stiffening. Nonetheless, the aortic pressure waveform is rarely availab ...

A key player in the formation of endoplasmic reticulum sheets is CLIMP-63, but mechanistic details remained elusive. Here authors combined cellular experiments and mathematical modelling to show that S-acylation of CLIMP-63 regulates its function by mediat ...

Physics-informed machine learning (PIML) is a set of methods and tools that systematically integrate machine learning (ML) algorithms with physical constraints and abstract mathematical models developed in scientific and engineering domains. As opposed to ...

Locomotion is an essential evolutive innovation of living beings that allows them to colonize and dominate the planet. As diverse as animal morphologies are (living) and were (extinct), their locomotion modalities are also diverse. In particular, animal mo ...

Deep learning (DL) has been wildly successful in practice, and most of the state-of-the-art machine learning methods are based on neural networks (NNs). Lacking, however, is a rigorous mathematical theory that adequately explains the amazing performance of ...

Machine learning is often cited as a new paradigm in control theory, but is also often viewed as empirical and less intuitive for students than classical model-based methods. This is particularly the case for reinforcement learning, an approach that does n ...

Over the course of a lifetime, the human brain acquires an astonishing amount of semantic knowledge and autobiographical memories, often with an imprinting strong enough to allow detailed information to be recalled many years after the initial learning exp ...

Current methods for near real-time estimation of effective reproduction numbers from surveillance data overlook mobility fluxes of infectors and susceptible individuals within a spatially connected network (the metapopulation). Exchanges of infections amon ...

The electron self-interaction is a long-standing problem in density functional theory and is particularly critical in the description of polarons. Polarons are quasiparticles involving charge localization coupled with self-induced lattice distortions. Sinc ...

Reassessment of the 2010-2011 Haiti cholera outbreak and rainfall-driven multiseason projections

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Leveraging social media data and large language models for understanding public health behaviours in the context of infectious diseases and vaccination

CONTROL OF HYPERBOLIC AND PARABOLIC EQUATIONS ON NETWORKS AND SINGULAR LIMITS

Dangerous acquaintances: the interplay between type IV pili and the type VI secretion system during Vibrio cholerae's environmental lifestyle

Genome sequences of Vibrio cholerae strains isolated in the DRC between 2009 and 2012

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Epidemicity indices and reproduction numbers from infectious disease data in connected human populations

Inactivation of influenza A virus in expiratory droplets and aerosol particles and the associated physicochemical drivers

Microfluidic systems for infectious disease diagnostics

Optimized numerical solutions of SIRDVW multiage model controlling SARS-CoV-2 vaccine roll out: An application to the Italian scenario

Sporadic type VI secretion in seventh pandemic Vibrio cholerae

Vaccine breakthrough hypoxemic COVID-19 pneumonia in patients with auto-Abs neutralizing type I IFNs

On the similarity between aortic and carotid pressure diastolic decay: a mathematical modelling study

Dynamics of CLIMP-63 S-acylation control ER morphology

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Beyond undulation! Body morphology and sensing components of elongated animals and robots reveal skills to maintain competent locomotion

Deep Learning Meets Sparse Regularization

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

A theory of memory consolidation and synaptic pruning in cortical circuits

Spatially explicit effective reproduction numbers from incidence and mobility data

Self-Interaction and Polarons in Density Functional Theory