Escuela de Politécnica Superior

Light profoundly impacts many aspects of human physiology and behaviour, including the synchronization of the circadian clock, the production of melatonin, and cognition. These effects of light, termed the non-visual effects of light, have been primarily investigated in laboratory settings, where light intensity, spectrum and timing can be carefully controlled to draw associations with physiological outcomes of interest. Recently, the increasing availability of wearable light loggers has opened the possibility of studying personal light exposure in free-living conditions where people engage in activities of daily living, yielding findings associating aspects of light exposure and health outcomes, supporting the importance of adequate light exposure at appropriate times for human health. However, comprehensive protocols capturing environmental (e.g., geographical location, season, climate, photoperiod) and individual factors (e.g., culture, personal habits, behaviour, commute type, profession) contributing to the measured light exposure are currently lacking. Here, we present a protocol that combines smartphone-based experience sampling (experience sampling implementing Karolinska Sleepiness Scale, KSS ratings) and high-quality light exposure data collection at three body sites (near-corneal plane between the two eyes mounted on spectacle, neck-worn pendant/badge, and wrist-worn watch-like design) to capture daily factors related to individuals’ light exposure. We will implement the protocol in an international multi-centre study to investigate the environmental and socio-cultural factors influencing light exposure patterns in Germany, Ghana, Netherlands, Spain, Sweden, and Turkey (minimum n = 15, target n = 30 per site, minimum n = 90, target n = 180 across all sites). With the resulting dataset, lifestyle and context-specific factors that contribute to healthy light exposure will be identified. This information is essential in designing effective public health interventions.

This study delves into the fascinating history of the destruction of the walls of Jericho as describedinthe biblical account in the book of Joshua. Over the last century, prominent archaeologistssuchasCarl Watzinger, John Garstang, Kathleen Kenyon, and Bryant Wood have excavatedthesite,confirming the existence of the ancient city and its fortified walls during the approximate periodoftheevent.The study explores the possibility that the destruction of Jericho's walls could haveascientificexplanation based on natural phenomena. The theory of resonance is proposed, suggestingthat soundwaves generated by the human shouting might have matched the natural frequency of thewalls,weakening their structure and causing their collapse. Resonance calculations indicate that humanshouting (300 Hz) was closer to the wall's natural frequency (121.72 Hz) than the trumpets (1400Hz),implying a higher potential for resonance with the shouting.Despite these plausible explanations, thestudy emphasizes the historical and religious ambiguity surrounding the event. The biblical accountofthe conquest of Jericho has been regarded as a miraculous event, and the exact cause of thewalls'destruction remains unresolved. This event has left a profound impact on Westerncultureandreligion, with interpretations continuing to be subject to debate and contemplation.Thestudyhighlights the significance of dialogue between science and religion. Archaeology and scienceofferanobjective and data-based perspective, while religious beliefs provide spiritual and moral meaningtohistorical events. The coexistence of these approaches enriches our understanding of thepastandcultural heritage.The present work offers a multidisciplinary view that encompasses archaeology,science, and religious beliefs. Although plausible scientific explanations have been proposed, theexactnature of the destruction of Jericho's walls remains a mystery, underscoring the richness of historicaland cultural interpretations surrounding this event.

One of Andrés de Vandelvira's most singular pieces is the sacristy of the Sacred Chapel of El Salvador in Úbeda. It is also notable for its connection with the church. This connection is made through the left chapel, which was originally intended to fulfil these functions, leaving this small chapel. This article analyses the causes and reasons that led the author to place the sacristy door in the corner of the left side chapel. Its plan geometry and the reasons for its three-dimensional geometry are analysed. Some of the reasons are related to the shape of the sacristy, a typical Spanish Renaissance structure. Others are related to the necessary proximity of this space to the volume of the church. Finally, it solved the problem of the lack of contact between the adjoining walls of the sacristy and the left chapel. There is no doubt that the solution proposed by Vandelvira was logical if it is understood from the origin of the project, which does not detract from the great mastery with which he developed this unusual corner passage.

The resilient modulus (MR) of different pavement materials is one of the most important input parameters for the mechanistic-empirical pavement design approach. The dynamic triaxial test is the most often used method for evaluating the MR, although it is expensive, time-consuming, and requires specialized lab facilities. The purpose of this study is to establish a new model based on Long Short-Term Memory (LSTM) networks for predicting the MR of stabilized base materials with various additives during wet-dry cycles (WDC). A laboratory dataset of 704 records has been used using input parameters, including WDC, ratio of calcium oxide to silica, alumina, and ferric oxide compound, Maximum dry density to the optimal moisture content ratio (DMR), deviator stress (σd), and confining stress (σ3). The results demonstrate that the LSTM technique is very accurate, with coefficients of determination of 0.995 and 0.980 for the training and testing datasets, respectively. The LSTM model outperforms other developed models, such as support vector regression and least squares approaches, in the literature. A sensitivity analysis study has determined that the DMR parameter is the most significant factor, while the σd parameter is the least significant factor in predicting the MR of the stabilized base material under WDC. Furthermore, the SHapley Additive exPlanations approach is employed to elucidate the optimal model and examine the impact of its features on the final result.