RECERCAT: Recent submissions
Now showing items 1161-1180 of 431686
Desenvolupament d’un servei de carpooling “Triply”
Aquest projecte sorgeix com a resposta a la necessitat creixent de fomentar una mobilitat més eficient, sostenible i col·laborativa, especialment en entorns on els desplaçaments recurrents generen un elevat impacte econòmic ...
Novel Asymmetric Iron Porphyrins for Photocatalytic CO2 Reduction to CH4
Developing earth-abundant transition metal catalysts for CO2 reduction is a promising approach for sustainable energy conversion. Here, the synthesis and photocatalytic activity of two novel asymmetric iron porphyrin ...
Studying the (de-)vitrification, aging, and sub-Tg relaxation behavior of metallic glasses via slow temperature scanning XPCS
We investigate the relaxation dynamics of La65N i15Al25 metallic glass using slow, temperature scanning X-ray Photon Correlation Spectroscopy (XPCS) at ESRF ID10. Intensity–intensity autocorrelation functions were fitted ...
Implementation of a secure environment for Ambient Intelligence IoT solutions
The rapid growth in the number of Internet of Things devices has expanded the attack surface of connected environments, raising urgent security concerns. At the same time, this proliferation enables the development of ...
Development and manufacturing of organic memristors
This thesis investigates inkjet-printed organic memristors using a cPVP switching layer and printed metal/polymer electrodes. Hybrid (Si/HfO2/Ag) and fully printed (Ag/cPVP/Ag and Ag/cPVP/PEDOT:PSS) device stacks were ...
SORS: mechanisms and predictability of the 2023 record increase in global temperature
Global mean temperature rapidly warmed during 2023, leading to the warmest year on record at 1.45°C above pre-industrial climate, the causes of which are still under debate. Here we explore the likelihood, mechanisms, and ...
Augmented ecofeminisms: climate, water, women
This talk reviews the history of supercomputing systems with a focus on the "balance" between computation and memory access and on the interaction of technology, architecture, and market forces in driving the evolution of ...
SORS: enhancing FAIRness in Harvard dataverse with variable-level metadata and differential privacy
We highlight recent advances in the Dataverse Project aimed at extending support for variable-level metadata beyond tabular data, incorporating DDI, CDI-DDI, CroissantML, and other schemas to enhance discoverability and ...
SORS: genomics workloads for the future (now)
In this talk, Pjotr and Arun will talk about pangenomic challenges and scaling up with HPC. Genomics workloads have always been announced and fail to make a dent on compute clusters. We predict this may now change with the ...
Earthquakes with partial stress drop and their implications for seismic risk
Systemic blackouts have increased due to extreme weather events and supply shortages, leading to a prominent example of demand rationing. Exploiting features of smart meters, we propose a partial rationing policy for ...
Ravanan a high performance common workflow language implementation
We will describe ccwl and ravanan---Common Workflow Language (CWL) tools we have developed---that allow running scientific workflows on HPC clusters with concision, reproducibility and performance. ravanan uses propagator ...
SORS: freshwater salinization: a global challenge in need of data science solutions
All around the world humans are increasing the salt concentrations of freshwater ecosystems (rivers, lakes, wetlands, etc.) through a wide variety of activities such as agriculture or resource extraction. This phenomenon, ...
LOCA SERIES / reading club: software-only semantic diverse redundancy for high-integrity AI-based functionalities
Dual (DMR) and Triple Modular Redundancy (TMR), often with some form of diversity, are used in safety-critical systems to realize those functionalities at the highest integrity level providing fault detection and/or tolerance ...
SORS: achieving supercomputer performance (without superhuman effort)
One of the truisms of supercomputing is that promised (aka peak) performance always dwarfs realized performance. This gap has generally widened over time, most notably after the reemergence of ML/AI. To some degree, this ...
SORS: INFN-CNAF big data processing for high energy physics jobs monitoring
The modern data centres provide the efficient Information Technologies (IT) infrastructure needed to deliver resources, services, monitoring systems and collected data in a timely fashion. At the same time, data centres ...
SORS/womeninBSC: alphaFold predicted structures expand our understanding of functional ivergence in protein families
The recent development of the AlphaFold2 method by DeepMind, has led to a massive expansion in high quality predicted protein structure data. Our group have developed computational protocols (Chainsaw, CATH-AlphaFlow) to ...
SORS: language and genetics
Research of biology and genomics inspired from linguis7cs is a dangerous territory, for several reasons. Once these are iden7fied, we can then dis7ll the shared concerns and common features between linguis7cs and gene7cs. ...
