Search

Abstract We study the production of three electroweak gauge bosons at the LHC, in the effective field theory of the standard model, at dimension six and next-to-leading order in QCD. We present results for inclusive cross-sections and differential distributions, finding that these QCD corrections are large, often vary across the phase-space and notably differ from those observed in the standard model. We then explore the potential of the recently observed triboson production processes for improving the sensitivity brought by electroweak precision observables and diboson data. The additional sensitivity we observe is dominated by resonant Higgs boson contributions, with decays to photon pairs in particular. A global analysis including Higgs boson data is therefore needed for a fair assessment of the future reach of triboson measurements on heavy new physics.

Abstract We present SMEFiT3.0, an updated global SMEFT analysis of Higgs, top quark, and diboson production data from the LHC complemented by electroweak precision observables (EWPOs) from LEP and SLD. We consider recent inclusive and differential measurements from the LHC Run II, alongside with a novel implementation of the EWPOs based on independent calculations of the relevant EFT contributions. We estimate the impact of HL-LHC measurements on the SMEFT parameter space when added on top of SMEFiT3.0, through dedicated projections extrapolating from Run II data. We quantify the significant constraints that measurements from two proposed high-energy circular e + e − colliders, the FCC-ee and the CEPC, would impose on both the SMEFT parameter space and on representative UV-complete models. Our analysis considers projections for the FCC-ee and the CEPC based on the latest running scenarios and includes Z-pole EWPOs, fermion-pair, Higgs, diboson, and top quark production, using optimal observables for both the W + W − and the t t ¯ $$ t\overline{t} $$ channels. The framework presented in this work may be extended to other future colliders and running scenarios, providing timely input to ongoing studies towards future high-energy particle physics facilities.

Abstract We study the capabilities of a muon collider, at 3 and 10 TeV center-of-mass energy, of probing the interactions of the Higgs boson with the muon. We consider all the possible processes involving the direct production of EW bosons (W, Z and H) with up to five particles in the final state. We study these processes both in the HEFT and SMEFT frameworks, assuming that the dominant BSM effects originate from the muon Yukawa sector. Our study shows that a Muon Collider has sensitivity beyond the high-luminosity LHC, especially as it does not rely on the Higgs-decay branching fraction to muons. A 10 TeV muon collider provides a unique sensitivity on muon and (multi-) Higgs interactions, significantly better than the 3 TeV option. Particularly, we find searches based purely on multi-Higgs production to be particularly effective in probing these couplings.

Summary and objectivesBorderline personality disorder (BPD) and schizophrenia can present with psychotic symptoms, such as delusions and hallucinations. This study, conducted at a tertiary care center, compared the characteristics of psychotic symptoms in patients diagnosed with BPD and patients diagnosed with schizophrenia, as well as the prevalence of self-harm, suicide attempts, and hospitalizations within these groups.MethodIn this comparative study, 50 individuals diagnosed with BPD and 50 with Schizophrenia, aged between 18 and 45 years, were assessed for intensity of psychotic symptoms with the Psychotic Symptom Assessment Scale (PSYRATS) and the Cardiff Abnormal Perceptions Scale (CAPS). Data were analyzed with IBM SPSS v25.0.ResultsOn the PSYRATS, the schizophrenia group scored higher in auditory hallucinations and in the number of voices, while in the BPD group the auditory hallucinations score was correlated with the number of suicide attempts (P=0.025). On the CAPS, the BPD group showed higher scores on positive abnormal perceptions in all dimensions compared to the schizophrenia group (P=0.002).ConclusionsOur study suggests that patients with BPD experienced a more intense burden of psychotic-like experiences compared to those with Schizophrenia, with a greater frequency, interference, and distress reported. Although patients with Schizophrenia had higher scores on the PSYRATS, the BPD group’s scores were also notable, and a correlation was identified between auditory hallucinations and suicide attempts in the BPD group.

Tumor immune microenvironment (TIME) plays a key role to understand how tumors respond to prostate cancer (PC) therapies and potential mechanisms of resistance. Previous research has suggested that specific genomic aberrations, such as microsatellite instability (MSI) or CDK12 bi-allelic loss can allow PC patients more likely to respond to immune checkpoint inhibitors (ICI) or other immune therapies. However, responses to these treatments remain highly variable even in selected patients. Thus, it is essential to obtain more information about tumor immune cells that infiltrate these tumors, and on their plasticity and interactions, in order to better understand the underlying biology to allow development of new therapeutic strategies. This review analyzes: 1) How interactions among immune cell populations and other cells infiltrating the tumor stroma can modulate the progression of PC, 2) How the standard therapies to treat PC (such as androgen deprivation therapy, new androgen-directed hormone therapy or chemotherapy) may influence the dynamic changes of the immunome and 3) What are the limitations in characterizing the immune landscape of the host´s response to tumors.

Bilateral medial medullary stroke is a very rare condition. It is usually associated with severe motor deficits, dysarthria, sensory symptoms, nystagmus, and respiratory disturbances. The most common etiology is atherosclerotic disease of the vertebral and anterior spinal artery or its branches. We present the case and brain imaging of a 48-year-old man with a bilateral medial medullary stroke and its classic “Heart Sign” in the magnetic resonance imaging. This case highlights the anatomy of the rostral medulla, clinical presentation, etiology, and characteristic radiologic findings of this uncommon type of stroke.

Changes in FOXA1 (forkhead box protein A1) protein levels are well associated with prostate cancer (PCa) progression. Unfortunately, direct targeting of FOXA1 in progressive PCa remains challenging due to variations in FOXA1 protein levels, increased FOXA1 mutations at different stages of PCa, and elusive post‐translational FOXA1 regulating mechanisms. Here, we show that SKP2 (S‐phase kinase‐associated protein 2) catalyzes K6‐ and K29‐linked polyubiquitination of FOXA1 for lysosomal‐dependent degradation. Our data indicate increased SKP2:FOXA1 protein ratios in stage IV human PCa compared to stages I–III, together with a strong inverse correlation (r = −0.9659) between SKP2 and FOXA1 levels, suggesting that SKP2–FOXA1 protein interactions play a significant role in PCa progression. Prostate tumors of Pten/Trp53 mice displayed increased Skp2–Foxa1–Pcna signaling and colocalization, whereas disruption of the Skp2–Foxa1 interplay in Pten/Trp53/Skp2 triple‐null mice demonstrated decreased Pcna levels and increased expression of Foxa1 and luminal positive cells. Treatment of xenograft mice with the SKP2 inhibitor SZL P1‐41 decreased tumor proliferation, SKP2:FOXA1 ratios, and colocalization. Thus, our results highlight the significance of the SKP2–FOXA1 interplay on the luminal lineage in PCa and the potential of therapeutically targeting FOXA1 through SKP2 to improve PCa control.

Forecasting is of great importance in the field of renewable energies because it allows us to know the quantity of energy that can be produced, and thus, to have an efficient management of energy sources. However, determining which prediction system is more adequate is very complex, as each energy infrastructure is different. This work studies the influence of some variables when making predictions using ensemble methods for different locations. In particular, the proposal analyzes the influence of the aspects: the variation of the sampling frequency of solar panel systems, the influence of the type of neural network architecture and the number of ensemble method blocks for each model. Following comprehensive experimentation across multiple locations, our study has identified the most effective solar energy prediction model tailored to the specific conditions of each energy infrastructure. The results offer a decisive framework for selecting the optimal system for accurate and efficient energy forecasting. The key point is the use of short time intervals, which is independent of type of prediction model and of their ensemble method.

A partir de la propuesta de investigación participativa se indaga sobre la temática de la inclusión educativa de estudiantes con discapacidad y/o en situación de desventaja educativa; se sustenta en el paradigma social para comprender el concepto de discapacidad y, nos involucramos en esta perspectiva, para mirar al sujeto en relación al contexto y cómo el contexto determina la situación del sujeto. Sostenemos tres claves desde en el marco teórico de la educación inclusiva “presencia, participación y aprendizaje”. El objetivo desafiante es lograr mayor eficacia en los procesos de aprendizaje y desarrollo del alumnado con discapacidad, procesos que exigen de educadores la comprensión de aspectos teóricos y metodológicos que fundamentan la práctica educativa cotidiana y guían la labor que despliegan con sus educandos. Sumamos la teoría socio histórica que nos brinda los fundamentos teóricos para sustentar con vehemencia que la inclusión es posible si, desde una posición de pedagogía crítica comprendemos la singularidad de la naturaleza social, histórica y cultural que abraza el hecho educativo.

The metabolites secreted by probiotics or released after their lysis are called postbiotics. They provide physiological benefits to the host, preventing the colonisation of pathogens by improving the intestinal environment for beneficial commensal bacteria, which reduces the incidence of digestive disorders and improves the immune system. The aim of this work was to evaluate the addition of postbiotics to dairy cow rations during the transition period on nutrient digestibility, composition, and milk yield. The effects of two postbiotics were evaluated in twelve Friesian cows from 30 days before calving to two months of lactation. The animals were randomly allocated to two treatment groups: control (CT) and supplemented with postbiotics (PC and PR). Feeding was ad libitum with 60/40 of forage/concentrate ratio on dry matter basis. Daily feed intake and milk production were recorded individually throughout the study. Two digestibility balances were performed, one before parturition and one after parturition. Colostrum was sampled at first milking and milk was sampled weekly. Data were analysed using a mixed mode in R software 4.4.1. The results suggest that postbiotic supplementation in late gestation and early lactation increase the voluntary intake of dry matter, especially in the PR treatment, with higher apparent total tract digestibility of dry matter, organic matter and neutral detergent fibre. Both treatments including postbiotics induced an increase in colostral immunoglobulin concentration. Milk production of cows receiving the PC treatment was the highest, with high fat and protein yields and a higher persistence of the production curve throughout the lactation.

The Sicilian wetlands (Italy) are seriously threatened by human activities and ongoing climate change. The loss of these wetlands as migratory stepping stones could severely hamper the migratory flow of many bird species along the central Mediterranean. Targeted actions for the conservation of the avifauna require thorough knowledge of the utilization that waterbirds make of these habitats. Aiming to inform planning for more satisfactory bird habitat management and bird diversity preservation along the Mediterranean migratory bird flyway, in this study, we inventoried the avian metacommunity of the coastal wetlands in Sicily during the most critical period of the year (July–September) and used a multilevel analytical framework to explore the spatiotemporal dynamics in bird species assemblages. We recorded 73 bird species, of which almost 90% were migratory and 30 belonged to Annex I of the Birds Directive. At the metacommunity level, we found that all the biodiversity metrics were low in July and approximately doubled in the successive sampling sessions (August–September), where they showed little if any change. At the community level, we detected two main clusters of wetlands with regard to species richness, of which one (wetlands Baronello, Gela, Gornalunga, and Roveto) was characterized by higher levels of species richness in nearly all the sampling dates. The pattern of species richness in the Sicilian wetlands was most similar between the first and second half of August, while July was very dissimilar from all the other sampling dates. At the guild level, we found a significant increase during July–September in the number of the species belonging to the “Mediterranean” migration guild and the “divers from the surface” and “surface feeders” foraging guilds. At the species level, we detected a significant temporal sequence of the occurrence of waterbird species: two species were only early dwellers in July, ten species were only late dwellers in September, and twenty-six species made use of the Sicilian wetlands all summer long. The spatial distribution of the waterbird species differed significantly between any pair of sampling dates. Overall, the Little Grebe, the Spotted Redshank, and the Little Tern were the bird species with the highest site infidelity; by contrast, the Black Stork, the Broad-billed Sandpiper, the European Golden Plover, the Common Shelduck, and the Black-necked Grebe changed their spatial distribution among wetlands the least during July–September. Our study allowed us to detect (1) the wetlands and (2) the waterbird species to which the priority for conservation should be assigned, as well as (3) the exact time span during July–September when conservation measures should be mandatory, and not only advisable. These results provide a broader insight of the space–time patterns in bird species assembly in the coastal wetlands of Sicily during the critical summer period.

Objetivo: Describir las malformaciones del sistema nervioso asociadas a embriopatía diabética en madres sin adecuado control glicémico en Latinoamérica. Material y métodos: Se realizó una revisión minuciosa de publicaciones en reconocidas bases de datos en línea en español y en inglés. Los buscadores utilizados incluyeron MEDLINE, PubMed, Scielo, BVS, HINARI, EBSCO, Google Scholar. Se encontraron artículos de tipo descriptivo, observacional, retrospectivo, guías de práctica clínica, revisión sistemática, casos y controles, y metaanálisis. Resultados: Mediante la revisión sistematizada de artículos, se obtuvo que las malformaciones del sistema nervioso central secundarias a la embriopatía diabética guardan una relacion estrecha con diversos factores de riesgo de la mujer latinoamericana. Conclusiones: Se encontró asociación entre las características epidemiológicas multifactoriales de la mujer latinoamericana y el desarrollo de malformaciones del sistema nervioso central secundarias a embriopatia diabetica, resultantes de multiples procesos fisiopatológicos desencadenados por la hipeglicemia materna.

[This corrects the article DOI: 10.1371/journal.pntd.0001398.].

El conocimiento global de las consecuencias del cambio de vegetación y uso de suelo en las fases del ciclo hidrológico y la calidad del suelo aún está en ciernes. Esta tarea es particularmente desafiante en las regiones tropicales donde las tasas de deforestación alcanzan los niveles máximos reportados y el monitoreo es limitado. Tal es el caso de México, donde el cambio de cobertura y la erosión hídrica afectan a más de la mitad del territorio nacional. En este contexto, se usó el modelo SWAT para estudiar la erosión hídrica asociada con las variaciones en el caudal condicionadas por la trayectoria de cambio de la cobertura vegetal en seis periodos entre 1986 y 2018 en dos subcuencas del río Papaloapan. Basados en la evaluación combinada de tres estadísticos de eficiencia y dos de incertidumbre, 6 de los 10 periodos calibrados mostraron buenos ajustes en la simulación de la descarga con KGE > 0.70 y P-factor > 0.70. Los resultados mostraron a mediano plazo una disminución en la producción de sedimentos en las dos subcuencas estudiadas, posiblemente relacionada con la recuperación de los bosques en las cabeceras de las cuencas. A pesar de los buenos resultados de las simulaciones, el análisis detallado de las fuentes de incertidumbre en regiones con monitoreo limitado es tan importante como la validación con datos medidos de buena calidad para mejorar el desempeño y la confianza de los modelos y soportar de forma adecuada la toma de decisiones.

Resistance to androgen receptor (AR)–targeted therapies for prostate cancer (PCa) is characteristic of an aggressive subtype called castration-resistant prostate cancer (CRPC) and is often associated with tumor relapse. Both relapse and poor prognosis in patients with CRPC are associated with increased abundance of the E3 ubiquitin ligase SKP2. Therefore, we investigated the therapeutic potential of combined inhibition of AR and SKP2 for CRPC. We found that combined targeting of AR and SKP2 with small-molecule inhibitors decreased proliferation in two CRPC cell lines in culture and in xenografts in humanized mice. Furthermore, combined therapy in mice markedly decreased the growth of Pten/Trp53 double-knockout tumors, a particularly invasive model of CRPC, whereas disruption of either AR or SKP2 alone only modestly suppressed their growth. Mechanistically, the inhibition of SKP2 in CRPC cells induced autophagy-dependent apoptosis and promoted luminal-associated phenotypes, which promoted responsiveness to AR-targeted therapy. These effects were further enhanced by coinhibition of AR and were not induced by the AR inhibitor alone. Our findings indicate that targeting both AR and SKP2 signaling pathways is necessary to treat CRPC. Editor's summary: Castration-resistant prostate cancer (CRPC) does not respond to androgen deprivation, is highly aggressive, and has a poor prognosis for patients. Celada et al. found a pharmacological approach to restore the sensitivity of CRPC to androgen signaling–targeted therapy. Inhibiting the enzyme SKP2, which is a component of a cell cycle regulatory complex, induced autophagy that subsequently initiated cell death. Cotreatment with an androgen receptor inhibitor enhanced those effects and suppressed tumor growth in mice. The findings suggest that this combination approach may be effective for treating CRPC. —Leslie K. Ferrarelli [ABSTRACT FROM AUTHOR]

The increasing penetration of solar energy into the grid has led to management difficulties that require high accuracy forecasting systems. New techniques and approaches are emerging worldwide every year to improve the accuracy of solar power forecasting models and reduce uncertainty in predictions. This article aims to evaluate and compare various solar power forecasting methods based on their characteristics and performance using imagery. To achieve this goal, this article presents an updated analysis of diverse research, which is classified in terms of the technologies and methodologies applied. This analysis distinguishes studies that use ground-based sensor measurements, satellite data processing, or all-sky camera images, as well as statistical regression approaches, artificial intelligence, numerical models, image processing, or a combination of these technologies and methods. Key findings include the superior accuracy of hybrid models that integrate multiple data sources and methodologies, and the promising potential of all-sky camera systems for very short-term forecasting due to their ability to capture rapid changes in cloud cover. Additionally, the evaluation of different error metrics highlights the importance of selecting appropriate benchmarks, such as the smart persistence model, to enhance forecast reliability. This review underscores the need for continued innovation and integration of advanced technologies to meet the challenges of solar energy forecasting.

Systemic sclerosis (SSc), also known as scleroderma, is an autoimmune-driven connective tissue disorder that results in fibrosis of the skin and internal organs such as the lung. Fibroblasts are known as the main effector cells involved in the progression of SSc through the induction of extracellular matrix (ECM) proteins and myofibroblast differentiation. Here, we demonstrate that 4'-(cyclopropylmethyl)-N2-4-pyridinyl-[4,5'-bipyrimidine]-2,2'-diamine (PIK-III), known as class III phosphatidylinositol 3-kinase (PIK3C3/VPS34) inhibitor, exerts potent antifibrotic effects in human dermal fibroblasts (HDFs) by attenuating transforming growth factor-beta 1 (TGF-β1)-induced ECM expression, cell contraction and myofibroblast differentiation. Unexpectedly, neither genetic silencing of PIK3C3 nor other PIK3C3 inhibitors (e.g., SAR405 and Autophinib) were able to mimic PIK-III-mediated antifibrotic effect in dermal fibroblasts, suggesting that PIK-III inhibits fibroblast activation through another signaling pathway. We identified that PIK-III effectively inhibits p38 activation in TGF-β1-stimulated dermal fibroblasts. Finally, PIK-III administration significantly attenuated dermal and lung fibrosis in bleomycin-injured mice.