RECERCAT: Recent submissions
Now showing items 1021-1040 of 431681
The indeterminate home
Peer Reviewed
Experimental mechanical characterisation of masonry in existing buildings using NDT and MDT techniques
The mechanical characterisation of existing brick masonry structures requires a strategic selection of testing methods to balance material preservation with the need for comprehensive data acquisition. Various tests provide ...
De los microplásticos a los aditivos: la contaminación invisible de nuestros océanos
¿Qué magnitud ha adquirido la contaminación por plásticos en el medio marino? Además de los residuos flotantes y visibles, deben tenerse en cuenta los microplásticos y los aditivos químicos que intervienen en su fabricación. ...
Recursive Difference Categories and Topos-Theoretic Universality
We introduce a radically minimal categorical foundation for logic, semantics, and computation, built from a single generative axiom of recursive difference. From the null mnema M0 and iterated labeled extensions by D, we ...
The firm logic of parallel lobbying: explaining why corporations lobby directly in addition to their associations
Firms lobby public institutions even when associations they are members of are lobbying those same institutions. This is what we conceptualise as ‘parallel lobbying’. Firms engage in parallel lobbying to monitor associations ...
Where Did the Demand Go? Teaching Demand Censoring with the Newsvendor Challenge
The newsvendor model is widely used to teach decision making under uncertainty. Traditionally, analytical methods have been taught to determine the optimal order quantity that balances missed profit from ordering too few ...
SORS/WomenInBSC: The science of science communication: climate change risks
Citizens need to make informed decisions about climate change and associated risks, such as changes in temperature, rainfall or hazards such as flooding. Scientific institutions, government agencies, or nongovernmental o ...
SORS/WomenInBSC: OASIS, a community coupler for climate modelling
The development of the OASIS coupler started in 1991 in CERFACS. At that time, it was used by two climate modelling groups in France to couple two different atmosphere models to one ocean model. 30 years later, i.e. in ...
SORS: GPU@SAT: empowering edge computing for AI onboard satellites
In satellites, real-time processing often generates data that exceeds onboard computational capabilities. Traditionally, this data is transmitted to Earth for analysis. However, edge computing has shifted processing directly ...
SORS: "Beyond self-reports: validating exogenous measures of news exposure through political learning" and "synthetic surveys for population insights"
This presentation has a twofold objective. Substantively, we revisit a longstanding question using computational social science tools: Do people learn about politics through news exposure? To overcome the limitations of ...
SORS: digital contact tracing and precision epidemiology: insights from a new tool to reduce and understand the transmission of respiratory pathogens
Digital contact tracing is a new public health approach developed and deployed worldwide during the COVID-19 pandemic. Contact-tracing apps measure proximity and duration of close contacts, allowing individuals who have ...
SORS: modern sensing and learning with machine learning
Sensing is a universal task in science and engineering. Downstream tasks from sensing include learning dynamical models, inferring full state estimates of a system (system identification), control decisions, and forecasting. ...
SORS: an integrated multiphysics approach to modeling and simulating the heart
We present an integrated computational framework for the simula- tion of the cardiac function. The framework comprises models for cardiac elec- trophysiology, myocardial contraction and deformation, fluid dynamics, valve ...
SORS: automated cross-architecture CARM modeling and application profiling
In recent years, HPC systems have become increasingly complex and heterogeneous, making application development and optimization challenging. To this respect, intuitive performance models like the Cache-aware Roofline Model ...
SORS: advancing numerical simulations through load balancing and scalable data visualization
Understanding the need, effects and implications of load-balancing in large-scale numerical simulations is crucial for optimizing performance and resource utilization. As computer simulations are scaling up, effective ...
SORS: computer architecture research: moving the needle
With Dennard Scaling gone, and Moore's Law almost gone, if computer performance is to continue to improve moving forward, more will be demanded of computer architects...and that means doing research that moves the needle. ...
SORS/WomenInBSC: improving predictions by combining models into a supermodel
To accelerate the skill of both short and long term predictions we combine state-of-the-art climate models and machine-learning based weather models into a ‘supermodel’, a novel form of physics-informed machine learning. ...
SORS: AI health research after the arrival of the EU AI Act
The new EU Regulation on Artificial Intelligence requires us to rethink the design and development of health research with AI systems. The casuistry is complex. While some of these systems are classified as high-risk, ...
LOCA series/reading club: methodologies for the design and development of digital twins
A Digital Twin is a virtual copy or representation of a physical object. Given the same input, both should produce the same output. The data flow between them should keep both objects in the same state by automatically ...
SORS: best practices for trustworthy and ethical AI in biomedicine
Despite significant advances in artificial intelligence (AI) for healthcare, its applicability remains hindered by significant challenges in real-world practice. These include limited trust and ethical risks, such as ...
