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123. Editorial

Author

Maheshwari, Akhil, primary, Motta, Mario, additional, and Lui, Kei, additional

Published
2023
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127. Prenatal maternal stress during the COVID-19 pandemic and infant regulatory capacity at 3 months: A longitudinal study

Author

Provenzi, L, Grumi, S, Altieri, L, Bensi, G, Bertazzoli, E, Biasucci, G, Cavallini, A, Decembrino, L, Falcone, R, Freddi, A, Gardella, B, Giacchero, R, Giorda, R, Grossi, E, Guerini, P, Magnani, M, Martelli, P, Motta, M, Nacinovich, R, Pantaleo, D, Pisoni, C, Prefumo, F, Riva, L, Scelsa, B, Spartà, M, Spinillo, A, Vergani, P, Orcesi, S, Borgatti, R, Provenzi, Livio, Grumi, Serena, Altieri, Lilia, Bensi, Giulia, Bertazzoli, Emanuela, Biasucci, Giacomo, Cavallini, Anna, Decembrino, Lidia, Falcone, Rossana, Freddi, Anna, Gardella, Barbara, Giacchero, Roberta, Giorda, Roberto, Grossi, Elena, Guerini, Paola, Magnani, Maria Luisa, Martelli, Paola, Motta, Mario, Nacinovich, Renata, Pantaleo, Dario, Pisoni, Camilla, Prefumo, Federico, Riva, Laura, Scelsa, Barbara, Spartà, Maria V, Spinillo, Arsenio, Vergani, Patrizia, Orcesi, Simona, Borgatti, Renato, Provenzi, L, Grumi, S, Altieri, L, Bensi, G, Bertazzoli, E, Biasucci, G, Cavallini, A, Decembrino, L, Falcone, R, Freddi, A, Gardella, B, Giacchero, R, Giorda, R, Grossi, E, Guerini, P, Magnani, M, Martelli, P, Motta, M, Nacinovich, R, Pantaleo, D, Pisoni, C, Prefumo, F, Riva, L, Scelsa, B, Spartà, M, Spinillo, A, Vergani, P, Orcesi, S, Borgatti, R, Provenzi, Livio, Grumi, Serena, Altieri, Lilia, Bensi, Giulia, Bertazzoli, Emanuela, Biasucci, Giacomo, Cavallini, Anna, Decembrino, Lidia, Falcone, Rossana, Freddi, Anna, Gardella, Barbara, Giacchero, Roberta, Giorda, Roberto, Grossi, Elena, Guerini, Paola, Magnani, Maria Luisa, Martelli, Paola, Motta, Mario, Nacinovich, Renata, Pantaleo, Dario, Pisoni, Camilla, Prefumo, Federico, Riva, Laura, Scelsa, Barbara, Spartà, Maria V, Spinillo, Arsenio, Vergani, Patrizia, Orcesi, Simona, and Borgatti, Renato

Abstract

The COVID-19 pandemic is a global traumatic experience for citizens, especially during sensitive time windows of heightened plasticity such as pregnancy and neonatal life. Pandemic-related stress experienced by mothers during pregnancy may act as an early risk factor for infants' regulatory capacity development by altering maternal psychosocial well-being (e.g., increased anxiety, reduced social support) and caregiving environment (e.g., greater parenting stress, impaired mother-infant bonding). The aim of the present longitudinal study was to assess the consequences of pandemic-related prenatal stress on infants' regulatory capacity. A sample of 163 mother-infant dyads was enrolled at eight maternity units in northern Italy. They provided complete data about prenatal stress, perceived social support, postnatal anxiety symptoms, parenting stress, mother-infant bonding, and infants' regulatory capacity at 3 months of age. Women who experienced emotional stress and received partial social support during pregnancy reported higher anxious symptoms. Moreover, maternal postnatal anxiety was indirectly linked to the infants' regulatory capacity at 3 months, mediated by parenting stress and mother-infant bonding. Dedicated preventive interventions should be delivered to mothers and should be focused on protecting the mother-infant dyad from the detrimental effects of pandemic-related stress during the COVID-19 healthcare emergency.

Published
2023

134. Winter Observing in the South.

Author

Motta, Mario

Subjects
*MILKY Way, *GLOBULAR clusters, *GALACTIC evolution, *WINTER
Abstract

This article from Sky & Telescope offers a comprehensive guide to observing celestial objects in the southern hemisphere during the winter. Written by Mario Motta, an amateur astronomer and cardiologist, the article provides a list of targets including galaxies, nebulae, and globular clusters, along with specific details on how to locate and observe each one. Motta also shares his personal experiences and recommendations for optimal viewing conditions. The article aims to inspire readers to explore the wonders of the southern sky and offers valuable tips for successful observing. [Extracted from the article]

Published
2024

146. Quantum computation of dominant products in lithium–sulfur batteries.

Author

Rice, Julia E., Gujarati, Tanvi P., Motta, Mario, Takeshita, Tyler Y., Lee, Eunseok, Latone, Joseph A., and Garcia, Jeannette M.

Subjects
QUANTUM computing, LITHIUM sulfur batteries, DIPOLE moments, HYDROGEN sulfide, QUANTUM chemistry, QUANTUM phase transitions
Abstract

Quantum chemistry simulations of some industrially relevant molecules are reported, employing variational quantum algorithms for near-term quantum devices. The energies and dipole moments are calculated along the dissociation curves for lithium hydride (LiH), hydrogen sulfide, lithium hydrogen sulfide, and lithium sulfide. In all cases, we focus on the breaking of a single bond to obtain information about the stability of the molecular species being investigated. We calculate energies and a variety of electrostatic properties of these molecules using classical simulators of quantum devices, with up to 21 qubits for lithium sulfide. Moreover, we calculate the ground-state energy and dipole moment along the dissociation pathway of LiH using IBM quantum devices. This is the first example, to the best of our knowledge, of dipole moment calculations being performed on quantum hardware. [ABSTRACT FROM AUTHOR]

Published
2021
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147. Minimalist RC network for building energy simulations: a case study based on OpenBPS

Author

Colombo Paola, Scoccia Rossano, Aprile Marcello, Motta Mario, and Mazzarella Livio

Subjects
Environmental sciences, GE1-350
Abstract

Robust and fast dynamic simulation tools are crucial for the sizing of the components of complex HVAC system and for the definition of the optimal control strategy. In this work, a first step towards the extension of OpenBPS, a new building energy performance simulation tool, to the dynamic simulation of HVAC systems is presented. In particular, the building model has been reduced to a Resistors-Capacitors (RC) network and OpenBPS has been used for the identification of the parameters of the grey-box model. Indeed, the reduction and identification of the building energy model is the fundamental step for extension of the tool to perform dynamic simulations of complex HVAC systems with the advantage of low computational load, thus suitable for parametric yearly simulations and control strategy analyses. The toolkit of identification and cross validation of a minimalist RC network is presented in this paper, discussing the results obtained for a case study building under study in the European project Heat4Cool founded by Horizon 2020 programme. The identified model demonstrated a good accuracy in the estimation of the room temperature under different tests settings representative of the actual operating conditions.

Published
2020
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