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Tsunami building damage estimates are critical to post-disaster supply logistics and disaster management. Likewise, accurate damage estimates in a digital twin framework (Koshimura et al., 2023) enable more effective responses to disaster emergencies. However, meaningful results from an eventual disaster digital twin would be contingent on real-time inputs, at best. Hence, any practical implementation of a model that performs tsunami building damage estimates precludes reliance on post-disaster data, such as current damage detection models. By embedding physical representations of both the inundated environment and the tsunami, we propose to circumvent the limitations of optical imagery-based deep learning models. We aim to curtail the reliance on post-event data during evaluation, limit the constraints associated with the observation angle, and learn multi-level damage representations based on spatial and geophysical context. Our purpose is to learn these representations by training on physical parameters rather than optical imagery. Thus, we adapt deep learning architectures, initially developed for computer vision tasks, to take in a larger input tensor. Then, we extend and combine remotely sensed data, such as digital elevation models, land use, and cadastral maps. These extra layers embed the physical and spatial context relevant to tsunami inundation in the input. Finally, we test our modified architecture and benchmark the results against a random forest baseline.

The present study aimed to investigate how playing positions differ in specific body composition variables in professional soccer players with respect to specific field zones and tactical lines. Five hundred and six Serie A and B professional soccer players were included in the study and analyzed according to their playing positions: goalkeepers (GKs), central backs (CBs), fullbacks (FBs), central midfielders (MIDs), wide midfielders (WMs), attacking midfielders (AMs), second strikers (SSs), external strikers (ESs), and central forwards (CFs), as well as their field zones (central and external) and tactical lines (defensive, middle, and offensive). Anthropometrics (stature and body mass) of each player were recorded. Then, body composition was obtained by means of bioelectric impedance analysis (BIA). GKs and CFs were the tallest and heaviest players, with no differences from each other. Likewise, GKs and CFs, along with CBs, were apparently more muscular (for both upper and lower limbs) and fatter at the same time compared with the other roles. Overall, players of the defensive line (CBs and FBs), along with those playing in central field zones (CBs, MIDs, AMs, SSs, and CFs), were significantly (p < 0.05) superior in almost all anthropometric and body composition variables than those of middle and offensive line and external zones, respectively.

This paper proposes a method to find the optimal positions of the elements of a linear aperiodic array, with the aim of performing the scanning of the beam in an angular region of interest, by phase-only control. A recently proposed Gaussian approach is adopted, in which the desired pencil beam is approximated by a Gaussian function. By a proper formulation of the problem, the element positions are synthesized in closed form, so as to perform a continuous beam scanning by suitably modifying only the excitation phases. The amplitude distribution of the array elements is uniform, so that the feeding network is simple to realize, and the mutual coupling effects are reduced. © 2019 European Association on Antennas and Propagation.

This paper describes the preliminary phases of the design of a planar antenna array to be mounted on a face of a CubeSat operating in the Ka-frequency band. In order to compensate the high attenuation of the millimeter-waves, the antenna is required to be circularly polarized, and the final array is composed of subarrays of sequentially rotated square microstrip patches with truncated corners. In particular, two candidate geometries are presented for the subarray, which improve a prototype previously realized at the University of Trieste. Then, the performances of three possible configurations for the final array are evaluated. © 2019 European Association on Antennas and Propagation.

Measuring and controlling the longitudinal phase space and the time-slice emittance of the electron bunch entering at 1.2 GeV in the undulator beam-lines, are crucial to obtain high FEL performances. In the FERMI@Elettra machine, two RF deflecting cavities have been installed at the end of the linac, in order to stretch the electron bunch horizontally and vertically, respectively. The two cavities are individually powered by the same klystron and a switch system is used to choose the deflection plane. This paper reports the RF measurements carried out during the acceptance test and the RF conditioning including the breakdown rate measurements.

In this contribution an innovative Active Integrate Antenna (AIA) system is presented. Starting from a critical revision of the state-of-the-art, alternative and innovative solutions to obtain a high degree of integration have been considered.