87 documents found, page 1 of 9

Towards rapid and low-cost stroke detection Using SERS and Machine Learning

Stroke affects approximately 12 million individuals annually, necessitating swift diagnosis to avert fatal outcomes. Current hospital imaging protocols often delay treatment, underscoring the need for portable diagnostic solutions. We have investigated silver nanostars (AgNS) incubated with human plasma, deposited on a simple aluminum foil substrate, and utilizing Surface-Enhanced Raman Spectroscopy (SERS) comb...

Solar Electrochemical CO2 Reduction to Syngas [Resumo]

New membranes for CO2 electrochemical reduction {Resumo]

Functional alginate aerogels as green catalytic platform for CO₂-to-syngas conv...

Green Catalytic Transformation of CO₂ to Syngas Using Aerogels [Resumo]

Tuning cathode porosity for electrochemical reduction of CO2 at high pressure [...

ABSTRACT: The development of active and stable catalytic cathodes is critical for advancing electrochemical carbon dioxide reduction into fuels and chemicals from Lab to market. This is a technology with a high potential to contribute to combat climate changes by using captured CO2, water and renewable energy [1]. The use of pressures higher than atmospheric pressure to carry out the co-electrolysis of CO2 and ...

Sub-Bandgap Sensitization of Perovskite Semiconductors via Colloidal Quantum Do...

ABSTRACT: By taking advantage of the outstanding intrinsic optoelectronic properties of perovskite-based photovoltaic materials, together with the strong near-infrared (NIR) absorption and electronic confinement in PbS quantum dots (QDs), sub-bandgap photocurrent generation is possible, opening the way for solar cell efficiencies surpassing the classical limits. The present study shows an effective methodology ...

Is There a Pervasive World Real Credit Cycle?

This paper analyses the international structure of credit and the potential buildup of a single world cycle using quarterly data for 48 economies between 1985 and 2015. For this analysis, we rely on an approximate factor model and on hard and fuzzy clustering methodologies. The results indicate that, for the whole sample, there are three common components to credit, one of these more pervasive and impacting mos...

Data-Driven Approach for Urban Micromobility Enhancement through Safety Mapping...

Micromobility responds to urban transport challenges by reducing emissions, mitigating traffic, and improving accessibility. Nevertheless, the safety of micromobility users, particularly cyclists, remains a concern in urban environments. This study aims to construct a safety map and a risk-averse routing system for micromobility users in diverse urban environments, as exemplified by a case study in Lisbon. A da...

Do desenvolvimento humano e crescimento à corrupção e escolhas políticas. Traba...