8 documents found, page 1 of 1

Dataset for identifying maintenance needs of home appliances using artificial i...

The ability to predict the maintenance needs of machines is generating increasing interest in a wide range of industries as it contributes to diminishing machine downtime and costs while increasing efficiency when compared to traditional maintenance approaches. Predictive maintenance (PdM) methods, based on state-of-the-art Internet of Things (IoT) systems and Artificial Intelligence (AI) techniques, are heavil...

Search for an invisible scalar in tt¯ final states at the LHC

We use the current tt¯ experimental analysis to look for Dark Matter (DM) particles hidden in the final state. We present a phenomenological study where we successfully perform the reconstruction of a tt¯ system in the presence of a scalar mediator Y 0, that couples to both Standard Model (SM) and to DM particles. We use a MadGraph5_aMC@NLO simplified DM model, where signal samples of pp → tt¯ Y 0 are generated...

Search for an invisible scalar in tt¯ final states at the LHC

We use the current tt¯ experimental analysis to look for Dark Matter (DM) particles hidden in the final state. We present a phenomenological study where we successfully perform the reconstruction of a tt¯ system in the presence of a scalar mediator Y 0, that couples to both Standard Model (SM) and to DM particles. We use a MadGraph5_aMC@NLO simplified DM model, where signal samples of pp → tt¯ Y 0 are generated...

Leveraging TFR-BERT for ICD diagnoses ranking

This work describes applying a transformer-based ranking solution to the specific problem of ordering ICD diagnoses codes. Taking advantage of the TFR-BERT framework and adapting it to the biomedical context using pre-trained and publicly available language representation models, namely BioBERT, BlueBERT and ClinicalBERT (Bio + Discharge Summary BERT Model), we demonstrate the effectiveness of such a framework ...

Scaling the assessment of emotion regulation effectiveness with a low-cost psyc...

In this work, we assessed the reliability of a low-cost psychophysiological system - the James One device - to monitor the electrodermal activity during an emotion induction paradigm. We observed that during emotional expression in response to negative stimuli, participants displayed increased amplitudes of the skin conductance responses, in comparison to the natural observation of neutral pictures and to emoti...

Validation of wireless sensors for psychophysiological studies

James One (MindProber Labs) is a wireless psychophysiological device comprising two sensors: one measuring electrodermal activity (EDA), the other photoplethysmography (PPG). This paper reports the validation of James One's EDA sensor by comparing its signal against a research grade polygraph. Twenty participants were instructed to perform breathing exercises to elicit the modulation of EDA and heart rate, whil...

Adding value to the Berlengas´ barnacle for its harvesters to maintain long-ter...

Sistema português de saúde mental: avaliação crítica do modelo de pagamento aos...

RESUMO - O Plano Nacional de Saúde Mental 2007–2016 aponta várias limitações ao sistema português de saúde mental, como a falta de acesso, os cuidados excessivamente centrados nos hospitais, a falta de recursos e a prevenção insuficiente. Uma das formas de atacar estes problemas é o desenho de um novo modelo de pagamento aos prestadores de cuidados de saúde mental, o que apenas é possível conhecendo em detalhe ...