Universitat Politècnica de Catalunya
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RV.S6.DR.V7 Esquema de color
No full textVídeos docents de l'assignatura Representació Arquitectònica II (REVIT) impartida per Isidro Navarro, PDI de l'ETSA
The economic impact of ESG-Driven office building Renovations: Evidence from prime Spanish commercial real estate
No full textCommercial real estate (CRE) faces a high prevalence of obsolete buildings that fail to align with modern workplace trends or European decarbonization targets. Although renovation is crucial to adapt these properties to market demands, the economic effects of such interventions have not been extensively explored. Existing literature often focuses on Anglo-Saxon markets or newly constructed buildings, addressing environmental aspects without a comprehensive Environmental, Social, and Governance (ESG)-based framework. This study aims to bridge this knowledge gap by analysing the economic impact of renovating three prime-location office buildings in Spain within an ESG framework. A mixed-methods approach is employed. First, ESG vectors are examined using audited pre- and post-intervention case study data, including required investment, operational expenses, property value, opportunity costs, profitability, tenant profiles, and decision-making processes. In a second stage, these findings are complemented with tenant surveys and asset manager interviews. The results demonstrate that comprehensive ESG-driven renovations significantly improve economic and sustainability outcomes compared to other comparable investment opportunities. The substantial increase in cash flow and attraction of high-profile tenants boosted gross income by up to 82% and property value by up to 84%. Renovating CRE into Class A buildings is a decision that yields both financial and non-financial benefits. As such, public policies could evaluate introducing incentives in lower-market-value areas to encourage renovations beyond prime locations.Peer ReviewedPostprint (published version
RV.S8.DR.V4 Descomponer plantas
No full textVídeos docents de l'assignatura Representació Arquitectònica II (REVIT) impartida per Isidro Navarro, PDI de l'ETSA
MIP-assisted electrochemical sensing of micro/nano-microplastic (polystyrene) for environmental surveillance
No full textThis USA patent (Allowed)-supported research demonstrates a molecularly imprinted polymers (MIPs) based sensing approach for detecting micro/nano plastics (M/N-Ps), serious pollutants of concern that severely affect human health with little exposure. Therefore, detecting these M/N-Ps selectively and accurately at low levels is an urgent demand for environmental surveillance applications. The MIP of poly-o-phenylenediamine (PoPD) is fabricated onto the screen-printed carbon electrode (SPCE) surface via electro-polymerization of o-phenylenediamine (oPD) against the nanoscale polystyrene (nPS, diameter of 100 and 500¿nm) as a targeted M/N-Ps. The stepwise fabrication of the MIPs@PoPD/SPCE sensing platform was confirmed using electrochemical and Raman spectroscopic techniques. The developed MIPs@PoPD/SPCE sensing performance was evaluated using various electrochemical approaches as a function of various concentrations of nPS, including 100 and 500¿nm sized PS. The results of chronoamperometry studies confirmed that MIPs@PoPD/SPCE electrodes exhibited a wide range (4.2¿×10-9 to 2.1¿×10-4 g/L) of nPS sensing, a low detection limit (at sub-ppb scale), a reasonable operation time (11¿min), and a high sensitivity. In a laboratory setting, the sensing was performed using a miniaturized electrochemical potentiostat (MEP) in positive water samples collected from the lake. Thus, the proposed point-of-care (POC) sensing capabilities of developed sensors are essential for environmental surveillance applicationsThe authors acknowledge their respective institutions for providing support and facilities. The AK acknowledges Florida Polytechnic University for funding (Award number: AW-2000022, GR-23SUMR-AK, and GR-24SUMR-AK) to support this research. AK also acknowledges PalmSens for providing electrodes and supporting materials to conduct experiments. Ajeet Kaushik acknowledges the U.S. Department of State and the Fulbright Foreign Scholarship Board for the Fulbright Specialist Program Award. This research has been approved for a US patentPostprint (published version
RV.S1.DR.V6 Iniciando un Proyecto
No full textVídeos docents de l'assignatura Representació Arquitectònica II (REVIT) impartida per Isidro Navarro, PDI de l'ETSA
The impact of simulated anisometropia and bilateral defocus on reflex vergence responses of children and adults
No full textPURPOSE. This study assessed the impact of computationally-simulated defocus on reflex vergence movements responsible for maintaining binocularly aligned fixation in adults and children. This question is clinically relevant for uncorrected anisometropia during childhood and the use of monovision to manage presbyopia. METHODS. Reflex vergence step and continuous tracking responses were recorded from 28 adults (15–53 years) and 32 children (four to eight years) viewing a small spatially broadband stimulus with disparity changing in steps from 0° to ±4° for 0.32 second or following a random walk for 40 seconds. Defocus of 0, 1, 2 or 4 D was presented bilaterally or unilaterally, simulating anisometropia. Open-loop vergence amplitudes were computed for step trials, and peak correlations and latencies between stimulus and vergence velocities were computed for continuous tracking trials. RESULTS. Vergence responses of adults and children to disparity steps followed typical tuning functions, with amplitudes decreasing with increasing anisometropic defocus (adults: P = 0.002; children: P = 0.042). In the continuous tracking task, anisometropic defocus had a greater detrimental effect on vergence than bilateral defocus (P < 0.001) for both age groups, and unilateral defocus primarily affected movements of the defocused eye. For some participants, this resulted in complete motor dominance of the focused eye, with version movements tracking its stimulus. CONCLUSIONS. These results highlight the importance of retinal image similarity for binocular development and motor function. They may help explain the relationship between anisometropia and strabismus during childhood, and the failure of monovision for some patients.Supported by NEI R01 EY014460 (TRC).Peer ReviewedPostprint (published version
RV.S8.DR.V5 Vista explosionada
No full textVídeos docents de l'assignatura Representació Arquitectònica II (REVIT) impartida per Isidro Navarro, PDI de l'ETSA
Stock market trend prediction using LSTM neural networks and financial time series
No full textThis Final Degree Project examines the application of Long Short-Term Memory (LSTM) neural networks to the forecasting of financial market volatility using historical time series data. Traditional econometric models, such as ARIMA, GARCH, EWMA, and HAR, have been widely employed in volatility forecasting but are often limited by linear assumptions and restricted capacity to capture nonlinear dynamics and long-term dependencies inherent in financial markets. In contrast, deep learning models offer a flexible, datadriven framework capable of learning complex temporal patterns. The empirical analysis focuses on forecasting the logarithm of five-day realized volatility of the SPDR S&P 500 ETF Trust (SPY) over the period from 2010 to 2025. The model incorporates multiple explanatory variables, including daily log-returns, trading volume, the Parkinson intraday volatility estimator, and the VIX index. A rigorous preprocessing procedure is implemented, involving normalization, feature engineering, and sequence construction using a 60-day rolling window. Model evaluation is conducted using a chronological train–validation–test split to prevent look-ahead bias. The forecasting performance of the LSTM model is compared against established benchmark models, including persistence, EWMA, and HAR specifications. Forecast accuracy is assessed using root mean squared error (RMSE) and Diebold–Mariano statistical tests. The results indicate that, while the LSTM model effectively captures volatility clustering and regime shifts, it does not achieve statistically significant improvements over the persistence benchmark. In contrast, the EWMA and HAR models demonstrate superior and statistically significant forecasting performance. The findings suggest that, despite their theoretical advantages, deep learning models do not necessarily outperform simpler econometric approaches in short-term volatility forecasting. This work highlights the importance of robust benchmarking and contributes to a critical understanding of the practical limitations and potential of machine learning techniques in financial time series analysis
Action microspectroscopy for nanophotonics
No full text(English) Stimulating an object and watching what the object does in response is the basis of scientific discovery. As much is true for much of experimental nanophotonics, where a material is stimulated with light and we observe how the material responds with nanometric precision. In this thesis I describe the development of a new approach to experimental nanophotonics: Action Microspectroscopy. The exploration of how light and matter interact holds the key to understanding, then harness- ing, the properties of matter. For instance, light harvesting materials require a deep under- standing of their interaction with energy in order to engineer an optimal combination of light absorption and the ensuing conversion to charge. The syntheses of new optoelectronic mater- ials with exotic properties need precision techniques to observe such properties in action and the unexpected consequences such properties may have. As the leading edge of technology delves deeper into the nanoscale, approaches to explore matter on the same scale must be devised to keep pace. Action Microspectroscopy is a Fourier transform excitation spectroscopy platform designed to energetically, spatially and temporally diagnose the excited state in atomic systems. Its devel- opment came in stages, each benchmarked by a chapter in this thesis. Firstly, I demonstrated that the spectral response of many single molecules in a widefield image could be simultan- eously acquired, meaning that spatial and spectral detail could be combined to diffraction- limited precision. The second step was to focus on the outcome of the excited state in a two dimensional semiconductor, WSe2. By studying the material’s response in fluorescence and photocurrent, it was possible to determine which exciton (excited state electrons bound to positive holes) states were more likely to lead to charge conversion and which were more likely to re-release their energy as a photon. Finally, by combining spatial detail with temporal resolution in photocurrent detection, I show that the measurement of the exciton-specific transfer of energy in materials can be achieved. I obtain spatially resolved pump-probe measurements of exciton states in WSe2, with a view to spatially resolved 2 dimensional electron spectroscopy.(Català) Estimular un objecte i observar com respon constitueix la base del descobriment científic. Això és igualment cert per a gran part de la nanofotònica experimental, on un material és estimulat amb llum i observem com respon amb precisió nanomètrica. En aquesta tesi descric el desenvolupament d’un nou enfocament de la nanofotònica experimental: la Microspectroscòpia d’Acció. L’exploració de com interactuen la llum i la matèria és clau per comprendre i, posteriorment, aprofitar les propietats de la matèria. Per exemple, els materials de captació de llum requereixen una comprensió profunda de la seva interacció amb l’energia per tal d’enginyar una combinació òptima d’absorció de llum i la conversió subseqüent en càrrega. La síntesi de nous materials optoelectrònics amb propietats exòtiques necessita tècniques d’alta precisió per observar aquestes propietats en funcionament i les conseqüències inesperades que poden tenir. A mesura que la frontera tecnològica s’endinsa cada vegada més en la nanoescala, cal desenvolupar enfocaments que permetin explorar la matèria a la mateixa escala per tal de mantenir el ritme. La Microspectroscòpia d’Acció és una plataforma d’espectroscòpia d’excitació per transformada de Fourier dissenyada per diagnosticar, des del punt de vista energètic, espacial i temporal, l’estat excitat en sistemes atòmics. El seu desenvolupament es va dur a terme per etapes, cadascuna avaluada en un capítol d’aquesta tesi. En primer lloc, vaig demostrar que la resposta espectral de nombroses molècules individuals en una imatge de camp ampli es podia adquirir simultàniament, fet que va permetre combinar informació espacial i espectral amb una precisió limitada únicament per la difracció. El segon pas va consistir a centrar-se en el resultat de l’estat excitat en un semiconductor bidimensional, WSe₂. Mitjançant l’estudi de la resposta del material en fluorescència i fotocorrent, va ser possible determinar quins estats excitònics (electrons excitats lligats a forats positius) tenien més probabilitats de conduir a la conversió en càrrega i quins eren més propensos a tornar a alliberar la seva energia en forma de fotó. Finalment, en combinar el detall espacial amb la resolució temporal en la detecció de fotocorrent, demostro que es pot mesurar la transferència d’energia específica dels excitons en materials. Obtingo mesures bomba-sonda espacialment resoltes d’estats excitònics en WSe₂, amb vista a una espectroscòpia electrònica bidimensional amb resolució espacial.(Español) Estimular un objeto y observar cómo responde constituye la base del descubrimiento científico. Esto es igualmente cierto para gran parte de la nanofotónica experimental, donde un material es estimulado con luz y observamos cómo responde con precisión nanométrica. En esta tesis describo el desarrollo de un nuevo enfoque de la nanofotónica experimental: la Microspectroscopía de Acción. La exploración de cómo interactúan la luz y la materia es clave para comprender y, posteriormente, aprovechar las propiedades de la materia. Por ejemplo, los materiales de captación de luz requieren una comprensión profunda de su interacción con la energía para poder diseñar una combinación óptima de absorción de luz y la subsiguiente conversión en carga. La síntesis de nuevos materiales optoelectrónicos con propiedades exóticas necesita técnicas de alta precisión para observar dichas propiedades en funcionamiento y las consecuencias inesperadas que estas puedan tener. A medida que la frontera tecnológica se adentra cada vez más en la nanoescala, deben desarrollarse enfoques que permitan explorar la materia en la misma escala para mantener el ritmo. La Microspectroscopía de Acción es una plataforma de espectroscopía de excitación por transformada de Fourier diseñada para diagnosticar, desde el punto de vista energético, espacial y temporal, el estado excitado en sistemas atómicos. Su desarrollo se llevó a cabo por etapas, cada una de ellas evaluada en un capítulo de esta tesis. En primer lugar, demostré que la respuesta espectral de numerosas moléculas individuales en una imagen de campo amplio podía adquirirse simultáneamente, lo que permitió combinar información espacial y espectral con una precisión limitada únicamente por la difracción. El segundo paso consistió en centrarse en el resultado del estado excitado en un semiconductor bidimensional, WSe₂. Mediante el estudio de la respuesta del material en fluorescencia y fotocorriente, fue posible determinar qué estados excitónicos (electrones excitados ligados a huecos positivos) tenían mayor probabilidad de conducir a la conversión en carga y cuáles eran más propensos a volver a liberar su energía en forma de fotón. Finalmente, al combinar el detalle espacial con la resolución temporal en la detección de fotocorriente, demuestro que es posible medir la transferencia de energía específica de los excitones en materiales. Obtengo medidas bomba-sonda espacialmente resueltas de estados excitónicos en WSe₂, con vistas a una espectroscopía electrónica bidimensional con resolución espacial.Postprint (published version
Estudio y mejora del curso de caso de uso real en industria farmacéutica de pesaje, dispensación y registro electrónico de lotes (EBR) desarrollado en el software TrakSYS
No full textThe study focuses on improving and optimising a real use case within the pharmaceutical industry, related to weighing, dispensing and electronic batch recording (EBR) processes, implemented using TrakSYS software. This second phase of the project incorporates advanced technologies such as MQTT and AMQP communication protocols, as well as the virtualisation of environments using containers and the integration of a DevOps approach based on version 13 of the software.
The main objective is to increase the performance, scalability and traceability of the systems, while improving their integration capacity and technical documentation. To achieve this, an analysis and development of different components has been carried out: the configuration of the MQTT broker, the definition of a Unifying Namespace to standardise data, the implementation of an AMQP channel for communication with external systems, and the virtualisation of services with Portainer to facilitate the management and deployment of containers.
The results obtained demonstrate that the integration of these modern protocols and methodologies into TrakSYS enables more efficient communication, better version management, and a more robust environment for training and real-case reproduction. Likewise, the use of CI/CD tools and change management from Visual Studio contribute to consolidating an automated and traceable workflow.
In conclusion, this work demonstrates that combining a DevOps approach with the integration of industrial protocols and service virtualisation offers a scalable, secure solution tailored to the needs of the modern pharmaceutical industry