All around Santiago, Chile, there are water towers known to citizens as Copas de Agua. These towers are recognised as modern industrial heritage and integral landmarks within the city’s urban landscape, contributing significantly to its cultural identity. This article presents strategies for exploring aural architecture by creating a new space defined by sound in motion within an existing architectural structure with unique morphological and acoustic characteristics through the medium of sound installation art. The project Polyphono, a multichannel sound installation located within the Copa de Agua of Quinta Bella, Chile, establishes a dialogue between three different spaces: the invisible space of the sound installation, the existing space of the water tower and the symbolic space of experience. In this process, an interior space of sound emerges within the physical space of acoustic reactions, which is experienced by the audience as aural architecture. This dynamic situation involves animating the monumentality of the water tower, transforming it through the performative action of the sound installation, thereby intensifying the historical significance of the site in physical, sensory, political and social terms. The outcomes are framed as a transitional space, from site-specific sound to aural architecture, creating an affective space for aesthetic experience.

Pretesting for exogeneity has become routine in many empirical applications involving instrumental variables (IVs) to decide whether the ordinary least squares or IV-based method is appropriate. Guggenberger (2010a, Econometric Theory, 26, 369–382) shows that the second-stage test – based on the outcome of a Durbin-Wu-Hausman-type pretest in the first stage – exhibits extreme size distortion, with asymptotic size equal to 1 when the standard critical values are used. In this paper, we first show that both conditional and unconditional on the data, standard wild bootstrap procedures are invalid for two-stage testing. Second, we propose an identification-robust two-stage test statistic that switches between OLS-based and weak-IV-robust statistics. Third, we develop a size-adjusted wild bootstrap approach for our two-stage test that integrates specific wild bootstrap critical values with an appropriate size-adjustment method. We establish uniform validity of this procedure under conditional heteroskedasticity or clustering in the sense that the resulting tests achieve correct asymptotic size, regardless of whether the identification is strong or weak. Our procedure is especially valuable for empirical researchers facing potential weak identification. In such settings, its power advantage is notable: whereas weak-IV-robust methods maintain correct size but often suffer from relatively low power, our approach achieves better performance.

With the widespread application of smart antennas in 5G communication and radar detection, adaptive beamforming technology based on deep learning has become a research focus for improving the anti-interference performance of antenna arrays due to its powerful nonlinear modeling capability. It can transform the beamforming problem into a neural network regression problem, enabling the model to rapidly output an approximately optimal beamforming weight vector without prior information. Aiming at the issues of poor adaptability to dynamic interference and high computational complexity of traditional algorithms, this paper proposes IRDSNet, a novel adaptive beamforming algorithm based on Inception-ResNet-dual-pool Squeeze-and-Excitation Network (DP-SENet), to optimize the performance of uniform circular array antennas. IRDSNet integrates the Inception structure, depthwise separable convolution, and Ghost convolution to construct a multi-scale feature extraction module, enhancing the model’s feature extraction capabilities while maintaining a low parameter count. By introducing an improved DP-SENet, the model’s ability to focus on key features is enhanced, while the incorporation of residual modules optimizes feature transmission efficiency. Simulation results demonstrate that the IRDSNet algorithm achieves a null depth exceeding −90 dB at various interference angles, with an output Signal-to-Interference-plus-Noise Ratio (SINR) consistently above 23 dB and a short inference time, demonstrating excellent interference suppression performance.

Obesity and overweight in pregnant women increase pregnancy and neonatal morbidity with a risk of metabolic syndrome for children in later life. Maternal preconceptional bariatric surgery reduces maternal and paediatric outcomes but may induce fetal nutritional deficiencies and intrauterine growth restriction through placental reprogramming. The aim of this study was to describe feto-placental unit modifications induced by obesity, and the effect of bariatric surgery performed before gestation, on a diet-induced obese rat model. One month after surgery, rats of ‘control’, ‘obese’ and ‘bariatric surgery’ groups were mated and then sacrificed at D19 of gestation. Clinical description, immuno-histochemistry and molecular analyses were performed on feto-placental units. Obesity induces placental modifications including lipid accumulations, increased inflammation and oxidative stress. Some of these modifications are partially restored by maternal preconceptional bariatric surgery. On the other hand, a reduction in the expression of markers of glucose transport, insulin function and amino acid transport, after bariatric surgery was observed. This phenotype may lead to fetal caloric restriction, adoption of a ‘thrifty phenotype’ and subsequently fetal growth restriction. These preliminary findings highlight the importance of a close follow-up of women who have undergone bariatric surgery and their children.

The second Trump administration has shaken the foundations of US leadership in global health, with this column assessing rapid shifts in global health governance. By analyzing how the administration’s anti-science ethos, foreign assistance cuts, and multilateral disengagement have undermined global solidarity, the column considers the destabilizing impacts on global health and examines how other states, regional bodies, and international organizations are responding to this US decline. This examination reveals both strains for global health promotion and resilience within a changed governance landscape.

Paleolake coring initiatives result in large datasets from various proxies taken at different resolutions, ranging from continuous scans to samples collected at coarser intervals. Higher-resolution data (e.g., core-scan X-ray fluorescence [XRF]) can detect short-duration changes in the paleolake and help identify unit boundaries with precision; however, interpreting the causes of such changes may require sampling and more intensive laboratory analysis like X-ray diffraction (XRD). This study applies a published wide and deep learning model, developed for the Olduvai Gorge Coring Project (OGCP) 2014 cores from the Pleistocene Olduvai basin, Tanzania, to reconstruct the mineral assemblages from saline-alkaline paleolake Olduvai using core-scan XRF data and core lithology. A classification model (predicting mineral presence or absence) and a regression model (predicting relative abundances of minerals) yielded predictions for two OGCP cores (2A and 3A), which were compared with published XRD mineral data and detailed core sedimentological descriptions. The models were excellent at identifying dolomite-rich layers, carbonate-rich intervals, intervals of sandstone within claystone, and altered tuffs within claystone and at predicting whether illitic or smectitic clays dominate. The models struggled with less-altered tuffs and with zeolites in non-tuff sediments, especially when XRD identified chabazite and erionite (rather than phillipsite) as the dominant, non-analcime zeolite.

La Viña rock shelter is a relevant archaeological site for understanding the late Middle and Upper Palaeolithic cultural development in northern Iberia as evidenced by the Mousterian, Aurignacian, Gravettian, Solutrean and Magdalenian bone and lithic industries, parietal engravings and human subsistence remains recovered during the 1980s excavations by J. Fortea in the western and central excavation areas. This paper aims to present 16 new radiocarbon dates, which are added to the previous radiocarbon dates obtained, using different analytical methods on bone and charcoal. These are now 57 dates in total. Bayesian models have been applied to assess and discern the chronology of the archaeological sequence in each sector of the rock shelter. The results provide details on the chronostratigraphy of each excavation area, documenting the duration of the different technocultural phases and confirming in-site postdepositional events.

In sociology, aesthetics have become an important lens for exploring the sensory dimensions of political and economic processes, with research on urban aesthetics contributing significantly to this field. However, much of this work focuses on how aesthetic forms serve the interests of political and economic elites, portraying aesthetic value as a direct product of political ideologies. While these approaches have shown that urban aesthetics are shaped by power struggles, they pay limited theoretical attention to less straightforward aspects of aesthetic politics—such as cases where clashing values, imperatives, and commitments meet. This gap is particularly pronounced in places shaped by violent histories, where the value of urban beauty might be inevitably entangled with loss, ambivalence, and co-existence with unwanted materialities. This article proposes an approach that foregrounds the dilemmas and compromises inherent in urban aesthetic politics, focusing on the varied practices through which people negotiate how to care for urban aesthetic value over time. I develop this approach through a case study of Klaipėda, Lithuania—a city shaped by layered aesthetic transformations, from state annexation to socialist modernisation to post-Soviet nation-building and Europeanisation. Using mixed-methods research, the article highlights differences in how people articulate what counts as good and bad aesthetics and which forms of material care—or neglect—are “appropriate” to sustain the city’s desirable aesthetic appeal. In doing so, the article reveals complex gradations of value underlying seemingly coherent aesthetic ideals of Europeanness.