The interaction between abiotic and biological processes is crucial to understand the development of life on Earth and the ecosystem services. Natural highly heterogeneous landscapes that support life develop through biological and abiotic processes at the interface of atmosphere, hydrosphere, and lithosphere. Despite their importance to natural ecosystems and humanity, we still lack good understanding of the mechanisms of landscape formation.

Our actions are influenced not only by our own intentions and expectations but also by circumstances, feelings, and norms. Language provides a window into how we conceptualize opposing and congruent influences; moreover, different languages reveal different ways minds can package these concepts. Yet state-of-the-art formal semantic frameworks do not permit a rich representation of influences. Instead, this project's starting point will be a formal framework (causal models) that originated outside of linguistics.

The RHAPSSODY project proposes an automated reasoning platform to extract, understand, and reason with complex arguments. The project is based on combining computational argumentation theory with natural language processing. This approach will identify the most essential arguments listed on debate platforms, estimate the acceptability degrees of these arguments using information mined from the web, and using the totality of the arguments, estimate the decision that will be taken.

Seed and fruit crops both depend on pollination, a process highly sensitive to heat. At elevated temperatures, pollen tubes fail to grow through the female pistil tissues and deliver sperm cells in ovules for fertilization and seed formation. An increase in average worldwide temperatures will thus undermine crop productivity. In this proposal, we propose to study LARP6C protein in tomato, previously identified by the CNRS team, using many state-of-the-art procedures to understand its potential roles in pollen tube growth under permissible and HS temperatures

Analyzing the drivers of the vulnerability of species and ecosystems to environmental changes is critical. Functional trait ecology has brought standardized protocols to analyze the response of numerous species on a physiological basis simultaneously. However, it lacks a theoretical corpus, which impedes a deep exploration of the underlying mechanisms and limits predictions. Rooted on adaptive dynamics theory, we will focus on the dynamics of local physiological optima and community-level trait distributions (TD) around them and provide theoretical expectations.

We focus on applied problems where it is necessary to make optimal decisions in the presence of risk and uncertainty together with dependence between the random events, where the source of uncertainty is twofold. One component of uncertainty is exogenous and results from substantially incomplete knowledge of important dependent problem data, like demand for goods and services, weather conditions, prices for commodities, high-impact technical failures, and other disruptions occurring with low probability.

Seed and fruit crops both depend on pollination, a process highly sensitive to heat. At elevated temperatures, pollen tubes fail to grow through the female pistil tissues and deliver sperm cells in ovules for fertilization and seed formation. An increase in average worldwide temperatures will thus undermine crop productivity. In this proposal, we propose to study LARP6C protein in tomato, previously identified by the CNRS team, using many state-of-the-art procedures to understand its potential roles in pollen tube growth under permissible and HS temperatures

A digital twin (DT) is a model of a real system, which automatically learns and continually updates to represent the dynamics of the system in near real-time, using sensor data that reflect various aspects of its operating conditions, human experts with relevant domain knowledge, and its environment. However, this recent concept does not yet benefit from support tools for its effective implementation.

Seed and fruit crops both depend on pollination, a process highly sensitive to heat. At elevated temperatures, pollen tubes fail to grow through the female pistil tissues and deliver sperm cells in ovules for fertilization and seed formation. An increase in average worldwide temperatures will thus undermine crop productivity. In this proposal, we propose to study LARP6C protein in tomato, previously identified by the CNRS team, using many state-of-the-art procedures to understand its potential roles in pollen tube growth under permissible and HS temperatures

Seed and fruit crops both depend on pollination, a process highly sensitive to heat. At elevated temperatures, pollen tubes fail to grow through the female pistil tissues and deliver sperm cells in ovules for fertilization and seed formation. An increase in average worldwide temperatures will thus undermine crop productivity. In this proposal, we propose to study LARP6C protein in tomato, previously identified by the CNRS team, using many state-of-the-art procedures to understand its potential roles in pollen tube growth under permissible and HS temperatures

Climate change is an important component of several concurrent global environmental changes that also affect human health – often interactively. The Intergovernmental Panel on Climate Change report underscores that our understanding of the links between climate, climate change, and human health has increased considerably in recent decades. However, there are still many gaps in knowledge about likely future patterns of exposure to climatic-environmental changes, and about the vulnerability and adaptability of physical, ecological, and social systems to such climate change.

Seed and fruit crops both depend on pollination, a process highly sensitive to heat. At elevated temperatures, pollen tubes fail to grow through the female pistil tissues and deliver sperm cells in ovules for fertilization and seed formation. An increase in average worldwide temperatures will thus undermine crop productivity. In this proposal, we propose to study LARP6C protein in tomato, previously identified by the CNRS team, using many state-of-the-art procedures to understand its potential roles in pollen tube growth under permissible and HS temperatures

MedFires is an interdisciplinary project focusing on fire in the Mediterranean Basin. It hypothesizes that naturally fire-prone black pine forest socio-ecosystems (BP-SES) can be sustainable under low-intensity fire regimes but can be profoundly altered under fire suppression or high intensity fires.

Arid landscape transformation is a pressing global challenge; warmer temperatures and changing precipitation regimes are expected to decrease water supply in many arid locations that are already water limited. This may result in the expansion of arid landscapes and ecosystem changes in existing arid landscapes. Arid and semi‐arid lands cover nearly half the planet - Rapid warming and shifting precipitation regimes threaten already fragile and water limited ecosystems.

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Quantum Technologies are at the forefront of current research. A significant limitation of the current technologies is the scalability of the spin carriers that feature long coherence time (superposition of states), such as single nuclei, magnetic atoms, or defects. Tailored molecules or Single Ion Magnets (SIM) are a very appealing alternative because molecular engineering shall help solve the scalability issue. Yet, efficient molecular qubits based on SIM remains rare due to fast de-coherence, which is induced by the interactions between the metallic ion and its environment.

Uveal melanoma (UM) is the most common primary intraocular malignancy in adults with different prognostics. Standard of care
carries side effects with long-term morbidities, including blindness. There is an unmet need for therapies protecting ocular tissues
and preserving vision. This project will address this challenge by combining near-infrared photo-controlled gene-based therapeutic
delivery with photonic nanomaterials to investigate focused gene therapy efficacy against UM using a new organoids-on-chip model.

Ion channels are expressed in many tissues. Due to their important roles, they constitute one of the most important drug targets for the treatment of diseases such as type-2 diabetes, epilepsy, pain and cardiac arrhythmias. We and others demonstrated that peptides from venoms are promising tools can selectively target ion channels.

Reproduction in angiosperms is crucial for seed and fruit production. The mature pollen grain (MPG) germinates and transports two sperm cells into the pistil in a pollen tube, where guided by various signals, it will discharge them into the ovule for fertilization and form the seed.

Seed and fruit crops both depend on pollination, a process highly sensitive to heat. At elevated temperatures, pollen tubes fail to grow through the female pistil tissues and deliver sperm cells in ovules for fertilization and seed formation. An increase in average worldwide temperatures will thus undermine crop productivity. In this proposal, we propose to study LARP6C protein in tomato, previously identified by the CNRS team, using many state-of-the-art procedures to understand its potential roles in pollen tube growth under permissible and HS temperatures