We present results of centroid energies ECEN, of the isoscalar (T = 0) and isovector (T = 1) giant resonances of multipolarities L = 0 to 3 in 40,48 Ca, 68 Ni, 90 Zr, 116 Sn, 144 Sm and 208 Pb, calculated within the fully self-consistent Hartree-Fock (HF)-based random phase approximation (RPA) theory, using 33 different Skyrme-type effective nucleon-nucleon interactions of the standard form commonly adopted in the literature. We compare the results of our theoretical calculations with the available experimental data. We also study the sensitivity of the calculated E CEN to physical properties of nuclear matter (NM), such as effective mass m*/m, nuclear matter incompressibility coefficient KNM, enhancement coefficient κ of the energy weighted sum rule for the isovector giant dipole resonance and symmetry energy at saturation density, associated with the Skyrme interactions used in the calculations. This is done by determining the Pearson linear correlation coefficient between the calculated ECEN and a certain NM property. Constraining the values of the NM properties, by comparing the calculated values of ECEN to the experimental data, we find that interactions associated with the values of KNM = 210 to 240 MeV and κ = 0.25 to 0.70 best reproduce the experimental data.

Isoscalar giant resonances in 90,92,94 Zr have been studied with inelastic scattering of 240 MeV α particles at small angles including 0 o . A significant fraction of the EWSR was found for isoscalar E0 (106%,103%,106%), E1 (64%,53%,96%), E2 (92%,93%,67%) and high energy octupole E3 (59%,69%,58%) resonances in 90,92,94 Zr respectively. Hartree-Fock-RPA calculations were made for each multipole using the KDE0v1 Skyrme-type effective nucleon-nucleon interaction and the results are compared to the experimental distributions.

Isoscalar giant resonances in 44 Ca have been studied with inelastic scattering of 240 MeV α particles at small angles including 0°. A majority of the Energy Weighted Sum Rule was identified for E0 and E2 (≈70%), and nearly half was identified for E1. The strength distributions are compared with the predictions from Hartree-Fock based Random Phase Approximation calculations with the KDE0v1 Skyrme-type interaction. The GMR energy moments for 40,44,48 Ca increase with mass, contrary to what would be expected with a negative symmetry energy, K τ .

A model based on chaotic maps and turbulent flows is applied to the spread of Coronavirus for each Italian region in order to obtain useful information and help to contrast it. We divide the regions into different risk categories and discuss anomalies. The worst cases are confined between the Appenine and the Alps mountain ranges but the situation seem to improve closer to the sea. The Veneto region gave the most efficient response so far and some of their resources could be diverted to other regions, in particular more tests to the Lombardia, Liguria, Piemonte, Marche and V. Aosta regions, which seem to be worst affected. We noticed worrying anomalies in the Lazio, Campania and Sicilia regions to be monitored. We stress that the number of fatalities we predicted on March 12 has been confirmed daily by the bulletins. This suggests a change of strategy in order to reduce such number maybe moving the weaker population (and negative to the virus test) to beach resorts, which should be empty presently. The ratio deceased/positives on April 4, 2020 is 5.4% worldwide, 12.3% in Italy, 1.4% in Germany, 2.7% in the USA, 10.3% in the UK and 4.1% in China. These large fluctuations should be investigated starting from the Italian regions, which show similar large fluctuations.

A model based on population growth, chaotic maps, and turbulent flows is applied to the spread of Coronavirus for each Italian region in order to obtain useful information and help to contrast it. We divide the regions into different risk categories and discuss anomalies. The worst cases are confined between the Appenine and the Alps mountain ranges but the situation seem to improve closer to the sea. The Veneto region gave the most efficient response so far and some of their resources could be diverted to other regions, in particular, more tests to the Lombardia, Liguria, Piemonte, Marche and V. Aosta regions, which seem to be worst affected. We noticed worrying anomalies in the Lazio, Campania and Sicilia regions to be monitored. We stress that the number of fatalities we predicted on March 12 has been confirmed daily by the bulletins. This suggests a change of strategy in order to reduce such number maybe moving the weaker population (and negative to the virus test) to beach resorts, which should be empty presently. The ratio deceased/positives on April 4, 2020 is 5.4% worldwide, 12.3% in Italy, 1.4% in Germany, 2.7% in the USA, 10.3% in the UK and 4.1% in China. These large fluctuations should be investigated starting from the Italian regions, which show similar large fluctuations.