The Accademia Aeronautica is the Italian Air Force Academy, the institute for the training of Air Force officers. It's located in Pozzuoli in the province of Naples, in the Italian region of Campania. Among the oldest aviation academies in the world, it was founded in 1923.In its academic programs, the Academy coordinates with the nearby University of Naples Federico II. Admission to the Academy is subject to the passing of a test open to all Italian citizens between 17 and 22 years old, with a high school diploma. The selection process, which happens between February and September, includes an examination, a medical check, and written and oral tests.
Weak local labor market conditions may change the trajectories of young adults who expected to find work. Well-documented responses include increasing educational investments, moving to more prosperous labor markets, or reducing labor force attachment. Military enlistment is a channel of potential adjustment that has received less study. Using data on Army recruits, we demonstrate a significant local response in enlistment to mass layoffs, characterized by increased labor supply to the military rather than increased local military recruiting. Our work documents the significance of military employment as an important arm of adjustment to local labor market shocks.
In this study, we created a novel temperature sensor based on a waterdrop-shaped optical fiber probe coated with a nickel-graphene oxide (Ni-GO) composite layer. The sensor fabrication involved heat-assisted deformation of single-mode fiber (SMF) to form a waterdrop structure, followed by electrostatic spray coating of graphene oxide (GO) and low-current-density electroplating of nickel. The unique geometry enhances evanescent field interaction and sensing surface area, while the Ni-GO composite coating improves thermal conductivity and mechanical stability. Thermal expansion mismatch between the Ni coating and silica substrate induces thermomechanical stress, resulting in measurable resonance wavelength shifts that correlate linearly with temperature changes. Experimental characterization demonstrated an average temperature sensitivity of 0.0179 nm/degrees C with an average linearity of 0.9935 over the range of 30 degrees C-150 degrees C with excellent stability and repeatability across multiple heating and cooling cycles. These results validate the sensor's potential for precise, durable, and rapid temperature monitoring applicable in industrial and environmental conditions.
A study on aerodynamic design studies of a blended wing–body (BWB) unmanned aerial vehicle (UAV) operating at low Mach numbers is presented. First, a parametric investigation based on analytical equations is carried out to identify the range of the necessary wetted area for the UAV to maximize endurance at a Mach number close to 0.1. A base-of-reference configuration is designed, and its aerodynamic performance is evaluated by utilizing a panel method in Xflr5. An optimization algorithm is then incorporated to trim the UAV and produce the ‘clean’ configuration. Computational fluid dynamics (CFD) simulations are performed within the OpenFoam environment to produce first the updated drag polars, and then, to analyze the integration of the nacelle and the pair of electric ducted fans (EDFs) used for the propulsion system. In particular, when examining the integration of the nacelle with a spinning electric ducted fan (EDF) standing as the propulsion system of the vehicle, a rotating, sliding mesh computational approach is adopted. Results indicate that the clean configuration is characterized by strong longitudinal stability so that the UAV has the potential to fly trimmed at very low speeds. Mounting EDFs on the back of the fuselage is conducive to higher loading with minimal drag penalty. An increased lift-to-drag ratio is achieved. Reduced wake mixing due to the EDF’s jet flow is observed. The spanwise flow that is conducive to pitch brake and loss of stability is also weak, as the suction produced by the EDF diverts the flow inboard.
Fake review detection is a substantive problem that affects businesses and consumers who form purchase opinions about products or services. With the recent advances of generative artificial intelligence (GAN) and more specifically large language models (LLMs) there is a new kind of fake review creation mechanism that is now available to malicious users. Paraphrasing existing reviews is a new form of AI assisted plagiarism that can be used to artificially manipulate the online reputation of a product, service, or business. In this paper, we describe these new challenges, we provide a pattern detection-based methodology that can be used to strengthen current information systems management algorithms. and we perform a comparison against commercial and open-source AI text detection tools. We demonstrate the use of the proposed methodology with a review dataset from real reviews from TripAdvisor mixed with paraphrased reviews with ChatGPT 4.0. The classification performance of the proposed method achieves high scores in confusion matrix metrics, where accuracy, precision, sensitivity, specificity, and F1-score are above 90 %.
This paper investigates the issue of rational allocation of available resources for the implementation and support of restoration operations using plasma spraying technology. The task of rationally distributing limited resources among specific areas allocated for enhancing economic efficiency is addressed.
