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Qualità e ricerca: è riconfermata la certificazione ISO 9001 per il processo di validazione delle pubblicazioni in IRIS-BOA

La norma ISO 9001 definisce i requisiti che il Sistema di Gestione per la Qualità di un'organizzazione deve dimostrare di soddisfare per garantire un livello adeguato di qualità del proprio prodotto/servizio: il 27 novembre 2024, dopo un costante lavoro di monitoraggio sul processo, SIR ha conseguito un rinnovo della certificazione di qualità.
Il certificato ufficiale ISO è disponibile a questo link.

Prodotti recenti

Risk management and drug utilization research

Proactive pharmacovigilance is part of the lifecycle approach aimed at early detection and minimization of risks, as stated in the strategic plans of the European Medicines Agency and the US Food and Drug Administration. An Risk Management Plan consists of a set of activities and interventions that are designed to identify, characterize, prevent, or minimize risks during the life cycle of a drug. The process of drug approval in Europe involves the assessment of the need for additional activit...

Ticking away: The long-term X-ray timing and spectral evolution of eRO-QPE2

Quasi-periodic eruptions (QPEs) are repeated X-ray flares from galactic nuclei that recur every few hours to days, depending on the source. Despite some diversity in the recurrence and amplitude of eruptions, their striking regularity has motivated theorists to associate QPEs with orbital systems. Among the known QPE sources, eRO-QPE2 has shown the most regular flare timing and luminosity since its discovery. We report here on its long-term evolution over 3.3 yr from discovery and find that: ...

Fragments of harmony amid apparent chaos: A closer look at the X-ray quasi-periodic eruptions of the galaxy RX J1301.9+2747

Quasi-periodic eruptions (QPEs) are an extreme X-ray variability phenomenon associated with low-mass (MBH < 107 M⊙) supermassive black holes (SMBHs). First discovered in the nucleus of the galaxy GSN 069, they have been so far securely detected in five other galaxies, including RX J1301.9+2747. When detected, the out-of-QPE emission (quiescence) is consistent with the high-energy tail of thermal emission from an accretion disk. In this article we present the X-ray properties of RX J1301.9+...

Mindfulness and mental health: the importance of a clinical intervention to prevent the effects of a traumatic event. A pilot study

Numerous research studies show that mindfulness can mitigate the negative impact of trauma on mental health by reducing symptoms of anxiety, mediating the relationship between trauma exposure and mental health, and treating symptoms resulting from traumatic events. During the COVID-19 pandemic, which was considered a traumatic event, the wellbeing of adults and children was severely compromised. Although children seem less vulnerable to the physical effects of the virus, this does not seem to...

Quantitative analysis of the prediction performance of a Convolutional Neural Network evaluating the surface elastic energy of a strained film

A Deep Learning approach is devised to estimate the elastic energy density ρ at the free surface of an undulated stressed film. About 190000 arbitrary surface profiles h(x) are randomly generated by Perlin noise and paired with the corresponding elastic energy density profiles ρ(x), computed by a semi-analytical Green's function approximation, suitable for small-slope morphologies. The resulting dataset and smaller subsets of it are used for the training of a Fully Convolutional Neural Networ...

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Qualità e ricerca: è riconfermata la certificazione ISO 9001 per il processo di validazione delle pubblicazioni in IRIS-BOA

Prodotti recenti

Risk management and drug utilization research

Ticking away: The long-term X-ray timing and spectral evolution of eRO-QPE2

Fragments of harmony amid apparent chaos: A closer look at the X-ray quasi-periodic eruptions of the galaxy RX J1301.9+2747

Mindfulness and mental health: the importance of a clinical intervention to prevent the effects of a traumatic event. A pilot study

Quantitative analysis of the prediction performance of a Convolutional Neural Network evaluating the surface elastic energy of a strained film

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