Feasibility of a gravity measurement on antimatter using a Talbot-Lau interferometer

The past two decades have witnessed an increasing focus on cold antimatter physics, with the development of the Antiproton Decelerator at CERN as a supply of low-energy antiprotons. Among the open questions concerning antimatter, the result of a gravity measurement on anti-atoms as a direct test of the weak equivalence principle has attracted the interest of several collaborations (AEgIS, GBAR, ALPHA). This work describes the use of a Talbot-Lau interferometer as a tool to perform a gravity measurement on antihydrogen. This device, composed of two or three material gratings, has been successfully used to reveal the wave behavior of different particle species and, in its classical limit, to perform inertial measurements on neutral and charged particles in the past. In order to study its suitability as a gravimeter for antimatter, systematic effects which can prejudice the outcome of the measurement are analyzed in detail. These include misalignments of the interferometer and influences of external field gradients. Simple mathematical formulas which quantify their prominence are produced and tested via numerical simulations. State-of-the-art production rates of cold antihydrogen are used to calculate the time required to retrieve the sign of the gravitational acceleration of antimatter using this setup. The result is an estimation of the feasibility of this measurement in the framework of the AEgIS experiment

Attention to emotional development in Early Childhood Education: discovering and managing emotions in the classroom

RESUMEN: A lo largo del presente Trabajo de Fin de Grado se lleva a cabo una revisión teórica sobre el desarrollo emocional en la etapa de EI. Las emociones están presentes en esta etapa educativa y forman parte del desarrollo integral del alumnado. Este trabajo cuenta con una revisión teórica dividida en cuatro bloques para abordar el desarrollo emocional en la etapa de EI. En primer lugar, se establece una aproximación a las etapas del desarrollo emocional. En segundo lugar, se realiza una revisión legislativa de la etapa de EI, centrada en la atención al desarrollo emocional. En tercer lugar, se revisan las diferentes corrientes pedagógicas existentes en España y su relación con el desarrollo emocional. Y en cuarto y último lugar, se muestran diferentes propuestas que se llevan a cabo dentro de las aulas de EI. Finalizando con una propuesta didáctica que recoge los datos y las claves mencionadas en los anteriores apartados del documento.ABSTRACT: Throughout this Final Degree Project, a theoretical review is carried out on emotional development in the EI stage. Emotions are present in this educational stage and are part of the integral development of students. This work has a theoretical review divided into four blocks to address emotional development in the EI stage. First, an approach to the stages of emotional development is established. Second, a legislative review of the stage of EI is carried out, focusing on attention to emotional development. Thirdly, the different pedagogical currents existing in Spain and their relationship with emotional development are reviewed. And fourth and last, different proposals are shown that are carried out within the EI classrooms. Finalizing with a didactic proposal that collects the data and the keys mentioned in the previous sections of the document.Grado en Magisterio en Educación Infanti

WAF-A-MoLE: An adversarial tool for assessing ML-based WAFs

Abstract Web Application Firewalls (WAFs) are plug-and-play security gateways that promise to enhance the security of a (potentially vulnerable) system with minimal cost and configuration. In recent years, machine learning-based WAFs are catching up with traditional, signature-based ones. They are competitive because they do not require predefined rules; instead, they infer their rules through a learning process. In this paper, we present WAF-A-MoLE, a WAF breaching tool. It uses guided mutational-based fuzzing to generate adversarial examples. The main applications include WAF ( i ) penetration testing, ( i i ) benchmarking and ( i i i ) hardening

Multi-agent system for Knowledge-based recommendation of Learning Objects

Learning Object (LO) is a content unit being used within virtual learning environments, which -once found and retrieved- may assist students in the teaching - learning process. Such LO search and retrieval are recently supported and enhanced by data mining techniques. In this sense, clustering can be used to find groups holding similar LOs so that from obtained groups, knowledge-based recommender systems (KRS) can recommend more adapted and relevant LOs. In particular, prior knowledge come from LOs previously selected, liked and ranked by the student to whom the recommendation will be performed. In this paper, we present a KRS for LOs, which uses a conventional clustering technique, namely K-means, aimed at finding similar LOs and delivering resources adapted to a specific student. Obtained promising results show that proposed KRS is able to both retrieve relevant LO and improve the recommendation precision

Transapical off-pump mitral valve repair with Neochord Implantation (TOP-MINI): step-by-step guide

open10openColli, Andrea; Zucchetta, Fabio; Torregrossa, Gianluca; Manzan, Erica; Bizzotto, Eleonora; Besola, Laura; Bellu, Roberto; Sarais, Cristiano; Pittarello, Demetrio; Gerosa, GinoColli, Andrea; Zucchetta, Fabio; Torregrossa, Gianluca; Manzan, Erica; Bizzotto, Eleonora; Besola, Laura; Bellu, Roberto; Sarais, Cristiano; Pittarello, Demetrio; Gerosa, Gin

ZenHackAdemy: Ethical Hacking @ DIBRIS

Cybersecurity attacks are on the rise, and the current response is not effective enough. The need for a competent workforce, able to face attackers, is increasing. At the moment, the gap between academia and real-world skills is huge and academia cannot provide students with skills that match those of an attacker. To pass on these skills, teachers have to train students in scenarios as close as possible to real-world ones. Capture the Flag (CTF) competitions are a great tool to achieve this goal, since they encourage students to think as an attacker does, thus creating more awareness on the modalities and consequences of an attack. We describe our experience in running an educational activity on ethical hacking, which we proposed to computer science and computer engineering students. We organized seminars, outside formal classes, and provided online support on the hands-on part of the training. We delivered different types of exercises and held a final CTF competition. These activities resulted in growing a community of students and researchers interested in cybersecurity, and some of them have formed ZenHack, an official CTF team

Urban Sustainability: a holistic approach for energy planning and operational dimensions

Strategic energy planning in cities is an emerging research field that is key to shift toward smarter and more sustainable communities. Increased awareness of environmental risks and human engagement can promote the communities toward natural and social flourishing, regarding domains namely ecology, economics, politics, and culture. Therefore, cities energy planning must bring together all the sustainable requirements toward integrated solutions and it needs new methodologies with a multi-perspective and holistic approach regarding the subjects, objects, and spatiotemporal domain of the communities. While macro-scale energy planning methodologies are well consolidated, the small-scale application still faces technical challenges such as the dynamic of an energy system with increasing penetration of distributed RES and the interaction of different functional layers (technology, policy, environment and communication layers) as well as multiple and diverse stakeholders. There is also the need for long‐term cross‐sectoral analysis and a fine disaggregation of the energy demand on a spatio-temporal domain. In this regard, it is important to develop a method to analyze the technology penetration, in order to understand the adoption mechanisms and develop policy strategies to act on accordingly. To address the above-mentioned issues, there is the necessity of combining different modeling frameworks and ICT solutions. The aim is to integrate temporal and spatial aspects, capturing the interactions between energy technologies and the physical infrastructure that distributes energy from producers to consumers while keeping into account constraints and feedback from regulators, economic drivers, and social behavior. This will require a bi‐directional amalgamation of planning and operational perspectives, working toward the interoperability of models. In addition, Agent‐Based Modeling (ABM) approach should be addressed because it is a suitable modeling technique in order to study real-world Complex Adaptive System (CAS), such as the urban communities. Specifically, ABM can feature concepts like heterogeneity, complexity, autonomy, explicit space and local interactions. The final goal is better understanding and prediction of: i) how consumers use energy, ii) how individuals react to information about the costs and benefits of energy choices and iii) how energy policies affect the behavior of the individual and, consequently, of the whole society

Supporting decarbonization strategies of local energy systems by de-risking investments in renewables: a case study on Pantelleria island

Nowadays, energy policymakers are asked to develop strategies to ensure an affordable clean energy supply while minimizing investment risks. Also, the rise of several community engagement schemes, and the uptake of user-scale technologies introduce uncertainties that may result in a disruptive factor for energy systems evolution. Energy planning and data-driven decision tools are required to support policymakers in delivering reliable long-term energy roadmaps that address future uncertainties. This paper introduces a novel scenario analysis approach for local energy planning that supports policymakers and investors in prioritizing new renewable power plant investments, addressing the risks deriving from citizens’ choices. Specifically, we perform a combined analysis on the adoption trends of distributed photovoltaic systems and electric vehicles, that are expected to heavily influence the evolution of energy systems. To this end, we develop an energy model for Pantelleria island and investigate its transition from an oil-based energy supply to a renewable one up to 2050. We explore different optimal energy systems introducing photovoltaic, onshore wind, floating offshore wind, wave energy, biomass power plants, and electrochemical storage in the island energy mix. The analyzed scenarios disclose the recommended investments in each renewable technology, considering their learning curves and the unpredictability of user-scale technology adoption. We find that the diffusion of distributed photovoltaic systems plays a major role for the achievement of high decarbonization targets and cost-effective energy supply. Consolidated renewable technologies are always cornerstones in future energy mix, while the needed capacity from novel technologies largely varies between scenarios. Also, a high diffusion of electric vehicles requires very large installed renewable energy capacity and leads to an increase of overall costs. Consequently, we stress the need for prioritizing the realization of renewable power plants, starting with the most resilient to future uncertainties, as well as promoting specific incentive measures for citizens’ commitment at a local scale

Caracterización de la evaluación de la presión inspiratoria máxima post extubación en pacientes críticos mayores de 18 años de unidad de cuidados intensivos de Clínica Indisa .

Tesis (Licenciado en Kinesiología)RESUMEN: La ventilación mecánica (VM) ha sido de gran ayuda para todas las personas que requieren anualmente de asistencia ventilatoria. Sin embargo, se ha evidenciado que esta estrategia terapéutica podría tener consecuencias negativas en aquellos pacientes que la poseen por mayor tiempo. El objetivo de la investigación es evaluar los cambios que puede generar el uso del soporte ventilatorio invasivo en la fuerza musculatura inspiratoria de pacientes en cuidados intensivos de la Clínica INDISA. Este estudio descriptivo consideró una muestra de 21 pacientes extubados que cumplían con los criterios de inclusión. Se realizó la prueba de PIMáx con un pimómetro digital, con el fin de obtener los valores muéstrales de los pacientes. Luego, éstos fueron comparados con los valores teóricos propuestos por Black y Hyatt. Las mediciones revelaron que existen cambios en los resultados de la muestra de PIMáx, comparados con sus posibles valores teóricos. Esto fue comprobado con el análisis estadístico, el cual demostró una diferencia de más de un 50%. Se pudo concluir que los sujetos expuestos por más de 48 horas a ventilación mecánica invasiva (VMI), sufren una reducción de más de un 50% en sus valores de PIMáx, respecto a los de referencia. Por tanto, sí existiría una relación directa entre el tiempo en VMI, y los valores de esta presión.ABSTRACT: Mechanic Ventilation (MV) has been of great assistance to all who require ventilatory support annually. However, it has been shown that this therapeutic strategy could have negative consequences in those patients who have it a lot of time. The aim of the research is to evaluate the changes that can generate the use of invasive ventilatory support in inspiratory muscle strength in patients of intensive care from INDISA Clinic. 6 This descriptive study considered a sample of 21 extubated patients who fulfill the inclusion guideline. A Maximal Inspiratory Pressure test was performed with a digital pimometer, with the purpose of obtain the sample values of the patients. Then, they were compared with the theoretical values given by Black and Hyatt. The measurements revealed that there are changes in the sample results of maximal inspiratory pressure among patients extubated, compared with their theoretical values, checked with statistical analysis, which showed a difference of more than 50%. It can be concluded that the subjects who has been expose for more than 48 hours at invasive mechanical ventilation (IMV), suffer a reduction of over 50% in their maximal inspiratory pressure values , respect to reference. Therefore, there could be a relationship between the time in (IMV) and values of this pressure