University of Cádiz
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Professionellt arbete i förändring : En kvalitativ studie om rekryterares upplevelser av AI i rekryteringsprocesser
No full textThe aim of this study is to examine how the introduction of artificial intelligence (AI) in recruitment processes affects recruiters’ professional work and their ability to exercise human judgment. The study is based on seven semi-structured interviews with recruiters who have experience of using AI in recruitment processes and is analysed using Julia Evetts’ conceptual framework of occupational and organisational professionalism, together with Susskind and Susskind’s model of the evolution of professional work. The findings show that the introduction of AI in recruitment processes has largely been driven by recruiters’ own initiatives in order to increase efficiency. Recruiters experienced that their ability to make independent human judgments has not been significantly affected, as AI is described as a supportive tool rather than a decision-making mechanism. They emphasised the importance of a cautious approach and the need to critically review AI-generated material. At the same time, a certain tension between occupational and organisational professionalism becomes visible as organisations introduce guidelines for the use of AI, however, this was not perceived by recruiters as restrictive. Regarding professional work, recruiters experienced that AI has contributed to a reduced administrative workload, thereby freeing up time for more qualified and relational tasks. Overall, the study shows that recruiters retain the ability to exercise human judgement despite the use of AI, and that AI transforms rather than replaces recruiters’ professional work.Syftet med studien är att undersöka hur införandet av artificiell intelligens (AI) i rekryteringsprocesser påverkar rekryterares professionella arbete och möjlighet till mänskligt omdöme. Studien baseras på sju semistrukturerade intervjuer med rekryterare som har erfarenhet av AI i rekryteringsprocessen och analyseras utifrån Julia Evetts begreppsapparat om yrkesmässig och organisatorisk professionalism samt Susskind & Susskinds modell om det professionella arbetets evolution. Resultatet visade att införandet av AI i rekryteringsprocessen till stor del skett på rekryterarnas egna initiativ för att effektivisera arbetet. Rekryterarna upplevde att deras möjlighet till att använda eget mänskligt omdöme inte påverkats särskilt mycket, eftersom de beskriver AI som ett stöd snarare än ett beslutsfattande verktyg. De poängterade vikten av ett försiktigt förhållningssätt, och betydelsen av att granska AI-genererade underlag. Samtidigt kan en viss spänning mellan yrkesmässig och organisatorisk professionalism bli synlig i samband med att organisationer inför riktlinjer för AI-användning, men detta upplevde rekryterarna inte som något begränsande. Gällande det professionella arbetet upplevde rekryterarna att AI bidragit till minskad administrativ arbetsbelastning vilket frigjort tid till mer kvalificerade och relationsskapande arbetsuppgifter. Sammanfattningsvis visar studien att rekryterare fortfarande har möjlighet till eget mänskligt omdöme trots användning av AI och att AI förändrar, men inte ersätter, rekryterares professionella arbete
Un marco metodológico y herramienta computacional para consignas de Voto Medio Predicho adaptativo en simulaciones de edificios con EnergyPlus
No full textThe Predicted Mean Vote (PMV) index is a widely recognized tool for designing and regulating indoor environments, but it has notable limitations, particularly in estimating comfort levels in spaces without active air conditioning. To address these challenges, the Adaptive Predicted Mean Vote (aPMV) was developed. Despite its potential, aPMV has not been incorporated into widely used simulation platforms like EnergyPlus. This study presents a novel methodology and a Python-based tool for integrating aPMV into EnergyPlus models, enabling the adjustment of heating and cooling setpoints based on aPMV rather than PMV. The proposed method is applied to a calibrated office building model, demonstrating that with an adaptive coefficient of 0.293, the heating and cooling setpoints can be adjusted to -0.59 and 0.44, respectively. This adjustment results in only a 0.4% increase in annual HVAC electricity consumption compared to conventional ±0.5 PMV setpoints. The broader parametric analysis corroborates these results, demonstrating minimal variations in energy consumption across adaptive coefficients and confirming the robustness of the approach in diverse climatic conditions. Key advantages of this tool include its high customizability and compatibility with other Python-based energy simulation libraries, making it a versatile addition to building performance analysis. An example is available at: https://accim.readthedocs.io/en/v0.7.6/jupyter_notebooks/example_apmv_setpoints_paper/using_apmv_setpoints.htm
Cascading Effects of Apex Predator Recovery on Rodent Foraging Activity and Seed Predation
No full textApex predators can trigger trophic cascades that shape plant–animal interactions. By suppressing medium-sized carnivores, apex predators may indirectly influence small prey behavior and abundance, altering key ecosystem functions such as post-dispersal seed predation. We investigated cascading effects of the Iberian lynx (Lynx pardinus) on rodent foraging activity and predation of Pyrus bourgaeana seeds in southern Spain, comparing sites with lynx presence and absence (low vs. high mesopredator abundance, respectively). We deployed 1152 seeds at 144 seed depots and used 36 camera traps to monitor rodent activity and foraging. We analyzed how predation risk, habitat, and microhabitat influenced (1) seed predation, (2) seed encounter probability, (3) number of visits to seed depots, and (4) visit duration. Seed predation rates were unaffected by lynx presence (57% vs. 43%), but this apex predator altered multiple aspects of rodent foraging activity. Seed encounter probability was 88% greater with lynx absent. In lynx presence, non-consumptive visits in forest habitats were 83% greater and visit duration rose 59-fold compared to lynx absence. The number of visits to seed depots was 85% greater with lynx present, but shrub microhabitats received more visits with lynx absent. Rodent abundance positively affected the number of visits and seed predation but did not vary with lynx presence. These behavioral changes in post-dispersal seed predation may ultimately affect seed dispersal success and thereby plant recruitment. Our findings underscore the role of apex predators in modulating ecosystem functions via non-lethal pathways and the importance of behaviorally mediated trophic cascades for plant–animal interactions
Dynamic adaptive model predictive control for prosumers-based energy communities
No full textEnergy communities (ECs) offer a significant opportunity for decentralised energy production. However, realising their full potential is hindered by the significant challenge of managing the high volatility of renewable energy technologies (RETs) and dynamic electricity markets. To address this, the present work introduces a novel dynamic adaptive model predictive control (AMPC) framework designed to simultaneously reduce costs, minimise losses, and enhance RET integration in prosumer-based ECs. The methodology is built upon a high-fidelity dynamic model of the EC, operating with a 50 μs time step to accurately capture the switching dynamics of power electronics and ensure a realistic representation of system behaviour. The key innovation lies in the dynamic adaptation of AMPC weights and power constraints, enabling seamless transitions between a self-sufficiency mode during high-price periods and an economically optimised grid-interactive mode during favourable market conditions. The performance of the AMPC is rigorously benchmarked against fixed MPC strategies and the particle swarm optimisation (PSO) algorithm. The results demonstrate the profound superiority of the adaptive approach, showing reductions in operational costs and power losses of 6.13% to 44.92%, without compromising sustainability. The AMPC's average RET utilisation of 79.31% was superior to that of the fixed-MPC strategies, with improvements ranging from 0.45% to 13.34%. Furthermore, it demonstrated a highly efficient balance against the metaheuristic approach, where a minor 2.53% difference in utilisation was exchanged for significant gains in cost and efficiency. Finally, compared with an adaptive PSO strategy, it reduces 120% power losses and increases 28.33% the capacity utilisation. These results demonstrate a superior framework for achieving a costeffective, efficient, and sustainable operation.The research leading to these results has received partial financial support from the Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación, FEDER, UE (Grant PID2024-156036OB-C32 supported by MCIN /AEI /10.13039/501100011033/FEDER, UE) and from the Consejería de Universidades, Investigación e Innovación de la Junta de Andalucía (Grant DGP_PIDI_2024_02368).
The work of Pablo Horrillo-Quintero was partially supported by the Fundación Campus Tecnológico de Algeciras, with funding provided by the Consejería de Universidades, Investigación e Innovación de la Junta de Andalucía and the ‘PLAN PROPIO-UCA 2025-2027’ program. Moreover, J.P.S. Catalão acknowledges support from the EU Horizon Europe Programme under GA ID: 101230578 (INNO-TREC Project; DOI: 10.3030/101230578) and from COMPETE2030-FEDER-00883700 and FCT (INVINCIBLE Project; DOI: 10.54499/2023.17788.ICDT)
Moving through Cartesian products, coronas and joins in general position
No full textThe general position problem asks for large sets of vertices such that no three vertices of the set lie on a common shortest path. Recently a dynamic version of this problem was defined, called the mobile general position problem , in which a collection of robots must visit all the vertices of the graph whilst remaining in general position. In this paper we investigate this problem in the context of Cartesian products, corona products and joins, giving upper and lower bounds for general graphs and exact values for families including grids, cylinders, Hamming graphs and prisms of trees
Climate change–driven alterations in water quality and their impact on trihalomethane formation: A review of treatment technologies
No full textClimate change increasingly compromises drinking water quality by altering source water conditions. Beyond gradual warming and shifting precipitation, extreme events such as droughts, floods, and wildfire runoff rapidly change raw water composition, raising natural organic matter (NOM) and turbidity. These shifts challenge drinking water treatment plants (DWTP) by increasing disinfection by-product formation, particularly trihalomethanes (THM), during chlorination. Overall, climate change is shown to increase turbidity, nutrient loads, and NOM concentrations in source waters, with NOM exerting the strongest influence on THM formation potential. Elevated temperatures further accelerate reaction kinetics, compounding public health risks. This review analyses scientific literature on THM formation under climate-driven and extreme hydrological stressors, as well as mitigation strategies. Studies were selected using targeted keywords including “THM,” “disinfection,” “water quality,” and “climate impacts.” Findings reveal four thematic clusters: characterization of disinfection by-products, optimization of treatment technologies, preventive NOM control, and mechanistic studies of THM formation. Advanced oxidation processes, hybrid membranes, adsorption, and alternative disinfectants frequently achieve over 80% removal efficiency. Preventive measures targeting NOM reduction before disinfection emerge as the most sustainable, especially under fluctuating water conditions. Nevertheless, post-treatment methods such as aeration and advanced adsorption enhance resilience to episodic contamination. Protecting drinking water requires integrating preventive and advanced technologies with adaptive regulations that address variable raw water quality, ensuring compliance and progress toward Sustainable Development Goal 6: Clean water and sanitation
General and left-continuous operators on lattice-based sums
No full textLattice-based sum provides a procedure to obtain posets and lattices from families of posets and lattices, respectively. Establishing sufficient conditions to ensure the lattice structure was the most significant challenge achieved in previous works. Next steps are to consider structures with general operators defined on the lattices of the family, introduce a sum of these operators on the obtained lattice-based sum and study the properties preserved by this new definition. We will prove that the natural definition preserve, in general, the monotonicity, associativity, commutativity, etc. This paper also introduces a new mechanism focused on preserving the left-continuity property of the operators defined on the lattices. This new approach also preserves the associativity and the infimum of non-empty subsets, and takes into account (infinite) complete lattices, unlike the previous works
Sexuality and sexual dysfunctions
No full textF. Javier Del Río Olvera — University of Cádiz, Spain
María Del Mar Sánchez-Fuentes — University of Zaragoza, Spain
Samantha Banbury — London Metropolitan University, United Kingdom
Citation
Del Río Olvera, F. J., Sánchez-Fuentes, M. D. M., Banbury, S., eds. (2026).
Sexuality and sexual dysfunctions. Lausanne: Frontiers Media SA.
doi: 10.3389/978-2-8325-7638-0An essential aspect of science is the availability of reliable and valid measurement
tools that allow for accurate assessment of sexological variables in individuals, and this
Research Topic includes three articles on this topic. The article Psychometric evaluation
of the abbreviated Hungarian Faking Orgasm Scale for Women (Csányi et al.) examines
the factorial structure of a scale designed to explore the underlying motivation in cases
of faked orgasm. The article Development of a cross-cultural scale on attitudes toward
gender and sexual diversity (AGSD) (Oleas et al.) presents the development of a scale
aimed at assessing attitudes toward gender and sexual diversity. This scale constitutes a
valuable tool for both clinical and educational contexts, where attitudes toward gender and
sexual diversity can be evaluated to promote changes toward healthier attitudes. The third
article focused on instrument validation is entitled Validation of the Brief Index of Sexual
Functioning for women and men (BISF-W and BISF-M) in an Italian sample (Panzeri et al.).
This study validates an assessment instrument originally designed for women and develops
a version for men, in its Italian adaptation, to evaluate sexual experiences in both clinical
and experimental settings.
Additionally, this Research Topic features several articles with a clear clinical
orientation, such as Influence of personality disorders on sexual behaviors and response to
treatment of psychogenic erectile dysfunction in phosphodiesterase 5 inhibitor non-responders
(Cabello-García et al.), which analyses the influence of personality disorders on erectile
dysfunction. This Research Topic remains under-researched and is of considerable clinical
interest in the treatment of patients who do not respond to pharmacological interventions
Storyline of an event of marine litter input and windrow formation in the Northwestern Mediterranean Sea
No full textHigh-resolution satellites now enable the detection of submesoscale aggregations of floating litter, known as litter windrows, creating new opportunities for studying marine litter pollution. Here, we combine satellite observations with temporal modeling to examine how rainstorms influence the magnitude and timing of plastic release from land to sea. Windrow detections in the northwestern Mediterranean Sea during spring 2018 were used to adjust a daily-scale model driven by surface runoff and river water discharges. Plastic inputs peaked simultaneously with rainfall and the rising phase of river levels. During the 90-day study period, half of the total plastic inputs occurred in a single three-day pulse linked to an intense rainstorm in April 2018. Although high river water discharges persisted for nearly a month afterward, subsequent litter inputs were relatively small, suggesting extensive watershed wash-off during the initial surge. The maximum plastic load on the sea surface (8.4 t) occurred on the third day after peak rainfall, while windrowed plastic peaked on the ninth day (1.2 t). Overall, 15 % of floating inputs aggregated into windrows. Wind direction and speed strongly influenced both windrow formation and the persistence of litter at the sea surface. During the study period, 68 % of marine floating litter was advected back to shore and 31 % sank to the seafloor. Our results demonstrate that storm-driven pulses play a key role in shaping marine litter dynamics, a process often overlooked in studies based on low-frequency sampling, highlighting the importance of integrating such events and satellite observations into monitoring and early-warning systems
Well-posedness of time-fractional systems in vector-valued Hölder spaces
No full textWe fully characterize the well-posedness in vector-valued Hölder in time spaces of a nonlocal
equation involving a closed operatormatrixAwith diagonal domain, defined on a product of Banach spaces,
solely in terms of the norm boundedness of a block-operator-valued symbol. We also give vector-valued
a priori maximal Hölder inequalities. Our result also contains a characterization in the case of a single
closed linear operator (not necessarily bounded), which is also new. We show that the condition that A is
the generator of an analytic semigroup is sufficient for the well-posedness. In particular, we show that the
well-posedness holds if the operators on the diagonal of A are generators of analytic semigroups and if the
off-diagonal entries satisfy a smallness condition. We exemplify our main results with abstract as well as
concrete models arising in fluid dynamics