Repositori Obert UdL
The institutional repository collects, manages, disseminates and preserves publications in open access derived from the academic and research activity of the University of Lleida.
Recent Submissions
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Open Access
Acetylsalicylic Acid Effect in Colorectal Cancer Taking into Account the Role of Tobacco, Alcohol and Excess Weigh
(MDPI, 2023) Florensa Cazorla, Dídac; Mateo Fornés, Jordi; Solsona Tehàs, Francesc; Galván, Leonardo; Mesas, Miquel; Piñol, Ramon; Espinosa-Leal , Leonardo; Godoy i García, Pere
Excess weight, smoking and risky drinking are preventable risk factors for colorectal cancer (CRC). However, several studies have reported a protective association between aspirin and the risk of CRC. This article looks deeper into the relationships between risk factors and aspirin use with the risk of developing CRC. We performed a retrospective cohort study of CRC risk factors and aspirin use in persons aged >50 years in Lleida province. The participants were inhabitants with some medication prescribed between 2007 and 2016 that were linked to the Population-Based Cancer
Registry to detect CRC diagnosed between 2012 and 2016. Risk factors and aspirin use were studied using the adjusted HR (aHR) with 95% confidence intervals (CI) using a Cox proportional hazard model. We included 154,715 inhabitants of Lleida (Spain) aged >50 years. Of patients with CRC, 62% were male (HR = 1.8; 95% CI: 1.6–2.2), 39.5% were overweight (HR = 2.8; 95% CI: 2.3–3.4) and
47.3% were obese (HR = 3.0; 95% CI: 2.6–3.6). Cox regression showed an association between aspirin and CRC (aHR = 0.7; 95% CI: 0.6–0.8), confirming a protective effect against CRC and an association between the risk of CRC and excess weight (aHR = 1.4; 95% CI: 1.2–1.7), smoking (aHR = 1.4; 95% CI: 1.3–1.7) and risky drinking (aHR = 1.6; 95% CI: 1.2–2.0). Our results show that aspirin use decreased the risk of CRC and corroborate the relationship between overweight, smoking and risky
drinking and the risk of CRC.
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Open Access
Optimizing planning and operation of renewable energy communities with genetic algorithms
(Elsevier, 2023) Lazzari, Florencia; Mor Martínez, Gerard; Cipriano, Jordi; Solsona Tehàs, Francesc; Chemisana Villegas, Daniel; Guericke, Daniela
Renewable Energy Communities (REC) have the potential to become a key agent for the energy transition. Since
consumers have different consumption patterns depending on their habits, their grouping allows for a better use
of the resource. REC provide both economic and environmental benefits. However, its potential drastically diminishes when grouping of prosumers and energy al- location is performed improperly, as the energy generated
ends up not being consumed. Given the importance of extracting the maximum potential of REC, this study
presents a tool to assist in both the planning and the operation phases. We present a combinatorial optimization
method for participant selection and a multi-objective (MO) optimization of solar energy allocation. Specific Genetic Algorithms (GA) were developed including problem-specific approaches for reducing the search space,
encoding, techniques for space ordering, fitness functions, special operators to replace duplicate individuals and
decoding for equality constraints. The performance of the novel solution approach was exper- imentally proved
with an electrical solar installation and electricity consumers from Northern east Spain. The results show that the
developed tool achieves energy sharing in REC with low solar energy excess, high self-consumption and high
avoided CO2 emissions while assuring low payback periods for all partic- ipants. This tool will be essential to
increase revenues of REC schemes and boost their beneficial environmental impact.
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Open Access
Recycling Textile Waste to Enhance Building Thermal Insulation and Reduce Carbon Emissions: Experimentation and Model-Based Dynamic Assessment
(MDPI, 2023) Ayed, Rabeb; Bouadila, Salwa; Skouri, Safa; Boquera, Laura; Cabeza, Luisa F.; Lazaar, Mariem
By enhancing the thermal properties of cement-based building materials, energy consumption and carbon dioxide (CO2) emissions related to space conditioning in buildings can be alleviated.
This study aims to present cement-based composites reinforced by textile fibers for application in
building and construction. Several lightweight coating mortars were produced by partially replacing
the sand in the mix with different percentages of textile waste. Mechanical and thermal characterizations of the reinforced cementitious composites were performed.
The results showed that the thermal conductivity of cementitious compounds decreased as the proportion of reinforcing material in the
mixture increased. In terms of mechanical properties, the textile slightly reduced the compressive strength of cementitious mortar, while it improved the flexural strength. A numerical study was then performed to derive the actual impact of these reinforced materials on the thermal behavior of a building element using COMSOL Multiphysics. Numerous configurations of walls coated with different mortar mixtures were studied. The results showed that coating both sides of a building wall with 20 mm of textile-reinforced mortar reduced the internal temperature by 1.5 ◦C. Thus, the
application of these thermally improved mortars as coating mortars appears to be a relevant solution to enhance the thermal performance of buildings.
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Open Access
Design and characterization of a real-time capacitive system to estimate pesticides spray deposition and drift
(Elsevier, 2023) Pallejà Cabrè, Tomàs; Tresánchez Ribes, Marcel; Llorens Calveras, Jordi; Saiz Vela, Albert
This study presents and characterizes a new sensor for estimating real-time pesticide spray deposition and drift.
The capacitive effect-based sensor operates at 625 Hz, allowing for the analysis of spray transitory and stationary
responses (hitting and remaining droplets on the target). A peak in the transitory response indicates overdosing
(droplets bounce back or leak down the target). Moreover, the sensing range goes from spray drift.
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Open Access
Andrés Guerrero y Tristan Platt. Lo implícito en la Historia y en la Antropología
(Icaria editorial, 2017-05) Vilalta i Escobar, María José