The Interdisciplinary Professional Unit in Engineering and Advanced Technologies (in Spanish: Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas or UPIITA) is one of the schools of the National Polytechnic Institute, located in Mexico City, Mexico. It offers undergraduate studies in Bionics, Telematics, Mechatronics, and Energy engineering, as well as postgraduate programs in Advanced Technology.UPIITA is currently one of the most demanded engineering schools in Mexico. Thousands of students apply each year through an admission test, but only a few hundred (around 300) are accepted. It stands as one of the best and most demanding engineering schools in the country, where many teachers work in scientific research.[verification needed]Originally, UPIITA was meant to hold a larger number of students, but since the 75% of students quit before the 3rd semester, most classrooms were turned into technology labs.
Two groups of Mg0.10Zn0.90O thin films, grown using spray pyrolysis and doped with donor-type impurities Ga or In, were investigated to compare the impact of residual stresses on the onset of the self-compensation process and defect accumulation at high donor doping levels. Donor doping of this type is relevant for potential applications of Mg0.10Zn0.90O films as transparent conducting oxides (TCOs) in optoelectronic devices. The Mg0.10Zn0.90O films were doped with Ga or In at concentrations ranging from 0 at.
Path planning algorithms fundamentally aim to compute collision-free paths, with many works focusing on finding the optimal distance path. However, for several applications, a more suitable approach is to balance response time, path safety, and path length. In this context, a skeleton map is a useful tool in graph-based schemes, as it provides an intrinsic representation of the free workspace. However, standard skeletonization algorithms are computationally expensive, as they are primarly oriented towards image processing tasks. We propose an efficient path-planning methodology that finds safe paths within an acceptable processing time. This methodology leverages a Deep Denoising Autoencoder (DDAE) based on the U-Net architecture to compute a skeletonized version of the navigation map, which we refer to as SkelUnet. The SkelUnet network facilitates exploration of the entire workspace through one-shot sampling (OSS), as opposed to the iterative or probabilistic sampling used by previous algorithms. SkelUnet is trained and tested on a dataset consisting of 12,500 two-dimensional dungeon maps. The motion planning methodology is evaluated in a simulation environment with an Unmanned Aerial Vehicle (UAV) in 250 previously unseen maps and assessed using several navigation metrics to quantify the navigability of the computed paths. The results demonstrate that using SkelUnet to construct the roadmap offers significant advantages, such as connecting all regions of free workspace, providing safer paths, and reducing processing time. These characteristics make this method particularly suitable for mobile robots in structured environments.
We investigate the dynamical effects induced by contact interactions on the propagation of quantum wave packets within the framework of the one-dimensional Schr & ouml;dinger equation. The analysis is carried out using the spectral parameter power series (SPPS) method, which provides a unified approach to treat both regular and singular potentials. Particular attention is devoted to the role of contact interactions in shaping scattering dynamics. We show that such interactions produce distinctive features, including time-dependent discontinuities in the wave function, anisotropic reflection depending on the direction of incidence, and a non-trivial high- energy behavior in which the transmission coefficient does not converge to unity. The method is validated against exactly solvable models, including the finite potential barrier and a truncated version of the P & ouml;schl-Teller potential, where excellent agreement with analytical results is observed. These results demonstrate both the robustness of the SPPS method and the qualitative differences between regular and singular interactions in quantum scattering.
We present measurements of the atmospheric depth of the shower maximum X-max, inferred for the first time on an event-by-event level using the surface detector of the Pierre Auger Observatory. Using deep learning, we were able to extend measurements of the X-max distributions up to energies of 100 EeV (10(20) eV), not yet revealed by current measurements, providing new insights into the mass composition of cosmic rays at extreme energies. Gaining a 10-fold increase in statistics compared to the fluorescence detector data, we find evidence that the rate of change of the average X-max with the logarithm of energy features three breaks at 6.5 +/- 0.6(stat) +/- 1(syst) EeV, 11 +/- 2(stat)+/- 1(syst)EeV, and 31 +/- 5(stat)+/- 3(syst)EeV, in the vicinity to the three prominent features (ankle, instep, suppression) of the cosmic-ray flux. The energy evolution of the mean and standard deviation of the measured X-max distributions indicates that the mass composition becomes increasingly heavier and purer, thus being incompatible with a large fraction of light nuclei between 50 and 100 EeV.
Diffuse photons of energy above 0.1 PeV, produced through the interactions between cosmic rays and either interstellar matter or background radiation fields, are powerful tracers of the distribution of cosmic rays in the Galaxy. Furthermore, the measurement of a diffuse photon flux would be an important probe to test models of super-heavy dark matter decaying into gamma-rays. In this work, we search for a diffuse photon flux in the energy range between 50 PeV and 200 PeV using data from the Pierre Auger Observatory. For the first time, we combine the air-shower measurements from a 2 km^2 surface array consisting of 19 water-Cherenkov surface detectors, spaced at 433 m, with the muon measurements from an array of buried scintillators placed in the same area. Using 15 months of data, collected while the array was still under construction, we derive upper limits to the integral photon flux ranging from 13.3 to 13.8 km^-2 sr^-1 yr^-1 above tens of PeV. We extend the Pierre Auger Observatory photon search program towards lower energies, covering more than three decades of cosmic-ray energy. This work lays the foundation for future diffuse photon searches: with the data from the next 10 years of operation of the Observatory, this limit is expected to improve by a factor of ∼20.
