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.

The wetlands of Sardinia (Italy) supply food and shelter for many waterbird species that migrate along the central–eastern Mediterranean bird flyway. Despite many different policies and laws (the Birds and Habitats Directives, the European Water Framework Directive, and the Ramsar Convention), the Sardinian wetlands are seriously threatened by human activities and climate change, which in turn menace the associated avifauna. In this study, we (a) inventoried (four sampling dates) the avian metacommunity of the largest coastal wetlands in Sardinia during the crucial period of the year for the avifauna (August–September), (b) explored the spatiotemporal dynamics in bird species assemblage, and (c) used results to refine planning for bird habitat management and bird diversity conservation. We recorded 60 bird species, of which 54 were migratory and 21 belonged to Annex I of the Birds Directive. During August–September, (a) α, β, and γ avian diversity showed no significant temporal trends, (b) the contributions of space (wetlands) and time (dates of sampling) in determining the presence/absence of the waterbird species were comparable, (c) wetlands formed three statistically significant clusters with regard to the species richness, (d) a significant increase in the number of the species belonging to the “mixed” migration guild, and “divers from the surface” foraging guild, occurred, (e) there was a statistically significant chronological succession of the occurrence of waterbird species, (f) twenty-five species made use of the Sardinian wetlands all summer long, while ten further species were present in three sampling dates out of four, (g) the spatial distributions of the waterbird species in the Sardinian wetlands were significantly different between the sampling dates, (h) the Little Egret, the Grey Heron, and the Greater Flamingo were primarily responsible for the observed difference in the spatial distributions of species between the sampling dates, (i) Is Brebeis, Pilo, and S. Giovanni were the wetlands that changed their species composition the most during the studied period, (j) twenty-two waterbird species resulted at high priority for conservation, and thirteen species at medium priority. Based on these results, we have proposed new strategies for the conservation of the waterbird species of the Sardinian wetlands during the post-breeding migration period.

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.

Robotic manipulation in semi-structured environments require perception, planning and execution capabilities to be robust to deviations and adaptive to changes, and knowledge representation and reasoning may play a role in this direction in order to make robots aware of the situations, of the planning domains and of their own execution structures. This paper proposes an approach aimed at enhancing the perception capabilities of robotic systems through the integration of various technologies. In particular, the novelties of the proposed smart perception module include the combination of visual sensor data, object detection, and pose estimation techniques, leveraging a fiducial markers and deep learning-based methods, being able to integrate multiple sensors and perception pipelines. In addition, reasoning capabilities are introduced through the utilization of ontologies. The result is a robust and smart perception system capable of handling both simulated and real-world scenarios which in turn provides the required functionalities to allow the robot to understand its surroundings, with a primary focus on robotic manipulation tasks. The discussion on the tools used and the key implementation details are included, as well as the results in some simulated and real scenarios that validate the proposal as a module that provides situation awareness to allow a manipulation framework to adapt the robot actions to uncertain and changing scenarios.

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.

El objetivo del estudio fue describir los niveles de resistencia transmitida de VIH-1 en adultos atendidos en Unidades de Atención Integral de Guatemala. El estudio incluyó registros de 185 pacientes adultos VIH-1 positivo, de reciente diagnóstico sin antecedente de uso de TAR, de noviembre del 2019 a noviembre del 2020. El análisis se realizó en el software DeepChek® v2.0, para la clasificación de la resistencia se siguió el algoritmo de Stanford HIVdb (v9.4 - 07/12/2022). Se encontró 18.4% (IC 95% 13.1 - 24.7%) de resistencia general a alguna familia de ARVs. Se evidenció 15.1% (IC 95% 10.3 - 21.1%) de resistencia individual a la familia de INNTR afectando principalmente a NVP y EFV; 2.2% (IC 95% 0.6 - 5.4%) de resistencia a INTR, mayormente a FTC/3TC; y 2.7% (IC 95% 0.9 - 6.2%) de resistencia intermedia y baja los IP NFV y LPV/r. Tres casos presentaron resistencia múltiple a los INTR + INNTR. Las mutaciones más frecuentemente encontradas fueron K103N (41.2%), M184V/I (8.8%) y M46I (5.9%). La elevada resistencia transmitida del VIH-1 en pacientes atendidos en distintas Unidades de Atención Integral del VIH, demuestra la importancia de analizar periódicamente la tendencia de la resistencia en personas que no han estado expuestas a ARVs, lo cual a su vez es un marcador indirecto de presencia de resistencia adquirida en el país, datos que evidencian la necesidad de acciones e intervenciones prontas y efectivas dado su impacto en la salud pública.

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.

Compelling evidence has accumulated on the role of oxidative stress on the endothelial cell (EC) dysfunction in acute coronary syndrome. Unveiling the underlying metabolic determinants has been hampered by the scarcity of appropriate cell models to address cell-autonomous mechanisms of EC dysfunction. We have generated endothelial cells derived from thrombectomy specimens from patients affected with acute myocardial infarction (AMI) and conducted phenotypical and metabolic characterizations. AMI-derived endothelial cells (AMIECs) display impaired growth, migration, and tubulogenesis. Metabolically, AMIECs displayed augmented ROS and glutathione intracellular content, with a diminished glucose consumption coupled to high lactate production. In AMIECs, while PFKFB3 protein levels of were downregulated, PFKFB4 levels were upregulated, suggesting a shunting of glycolysis towards the pentose phosphate pathway, supported by upregulation of G6PD. Furthermore, the glutaminolytic enzyme GLS was upregulated in AMIECs, providing an explanation for the increase in glutathione content. Finally, AMIECs displayed a significantly higher mitochondrial membrane potential than control ECs, which, together with high ROS levels, suggests a coupled mitochondrial activity. We suggest that high mitochondrial proton coupling underlies the high production of ROS, balanced by PPP- and glutaminolysis-driven synthesis of glutathione, as a primary, cell-autonomous abnormality driving EC dysfunction in AMI.

Melanoma differentiation-associated protein 5 (MDA5) induces type I interferons (IFNs) after the recognition of viral RNA. In addition, gain-of-function mutations in the interferon induced with helicase C domain 1 (IFIH1) gene, which encodes MDA5, lead to type I interferonopathies. Here, we show that Mda5 is highly expressed in murine macrophages and is regulated by pro-inflammatory stimuli such as the cytokines IFN-α and IFN-γ, the TLR ligand LPS, and a mimic of dsRNA, poly(I:C). Mda5 induction is mediated through the production of reactive oxygen species. The induction by IFN-α or LPS occurs at the transcriptional level since the Mda5 mRNA half-life before and after induction is very stable. Interestingly, STAT1 is required for Mda5 induction by IFN-α, LPS, or poly(I:C). The time course of induction of at least 3 h and the need for protein synthesis indicate that Mda5 requires an intermediate protein for transcription. In transient transfection experiments, we found that a 105-bp fragment of this gene, between −1153 and −1258 bp relative to the transcription start site, is required for transcription. In this specific region, we observed a sequence containing an IRF-binding motif, which, when mutated, abolishes the induction of Mda5. This sequence is strongly conserved in the IFIH1 promoters of eutherian mammals and in other distant species. Kinetic experiments, chromatin immunoprecipitation assays, and gene-silencing experiments revealed that IRF1 is required for induction of Mda5 expression.

BackgroundStressful life events (SLEs) in the development of early psychosis have been little studied in low-income countries. This study examines differences in the prevalence of SLEs in Mexican at clinical high risk (CHR) and those with familial high risk for psychosis who do not meet CHR criteria (non-CHR FHR). We also analyze the association between SLEs and CHR.MethodsParticipants included 43 persons with CHR and 35 with non-CHR FHR. CHR criteria were assessed with the Comprehensive Assessment of At-Risk Mental State. SLEs were assessed using the Questionnaire of Stressful Life Events.ResultsParticipants with CHR reported more SLEs associated with negative academic experiences than those in the non-CHR FHR group. Bullying (OR = 7.77, 95% CI [1.81, 33.32]) and low educational level (OR = 21.25, 95% CI [5.19, 46.90]) were the strongest predictors of CHR, while starting to live with a partner (OR = 0.26, 95% CI [0.10, 0.84]) was associated with a lower risk of CHR.ConclusionNegative school experiences increase the risk of psychosis, particularly bullying, suggesting that schools may be ideal settings for implementing individual preventive strategies to reduce risk factors and increase protective factors to improve the prognosis of those at risk of developing psychosis. In Latin America, there are multiple barriers to early intervention in psychosis. It is thus crucial to identify risk and protective factors at the onset and in the course of psychosis in order to design effective preventive interventions.

Because of more demanding mechanical properties in sheet steel products in the automotive industry, the use of multi-phase steels, capable of complying with those mechanical requirements, has been growing along the last decades. The non-destructive characterization of these steel grades, therefore, has become an active research line worldwide. In the present work, the magnetic characterization by magnetic hysteresis BH loops of various strip samples of industrially cold rolled and annealed DP800 (dual phase) and CP800 (complex phase) steels at several positions with varying processing temperatures in the coil length has been performed. In addition, a detailed EBSD characterization of the samples has allowed determining the fraction of the various microconstituents, namely, ferrite, bainite, martensite and retained austenite. Finally, the mechanical characterization has been done through hardness and tensile tests on all the samples. All the results regarding these three aspects have been analysed carefully to extract likely relationships among them. Clear one-to-one linear correlations have been found between all these features, even though large variations in mechanical/magnetic properties and microstructures have been attained. Specifically, for volume fractions of bainite approximately between 15% to 75%, the yield and tensile strengths show a linear correlation with the coercive field, Hc. Thus, the coercive field may be a candidate to become a parameter for the prediction of the mechanical properties if a previous calibration is performed on these steel grades with multi-phase microstructures.

On-line non-destructive magnetic monitoring (NDM) techniques are relevant to evaluate the quality of steels and their fluctuations during forming process. The on-line monitoring faces different issues. Due to magneto-mechanical coupling, stress that may be applied during NDM may have a strong effect on the magnetic behavior that may lead to erroneous estimations of the microstructure quality of the material. The multiaxial character of the stress state is another strong issue. In this communication, some new results showing the effect of a uniaxial and biaxial stress on the magnetic behavior of 3 grades of hot-rolled steels are presented (from low carbon steel to AHSS).

Weight savings in mobility and transport are mandatory in order to reduce CO 2 emissions and energy consumption. The steel industry offers weight saving solutions by a growing portfolio of Advanced High Strength Steel (AHSS) products. AHSS owe their strength to their largely refined and complex microstructures, containing multiple metallurgical phases. Optimal control of the thermo-mechanical processing of AHSS requires inline sensors for real-time monitoring of evolution and consistency of microstructure and material properties. To coordinate and accelerate European development activities in this domain, the project ”Online Microstructure Analytics (OMA)” was established in 2019, constituting of a consortium of 14 specialised research organisations. The EU-funded OMA project, with a total budget exceeding 6 MEU, focuses on inline sensing techniques to monitor the consistency and homogeneity of microstructure, texture and mechanical properties for automotive steels and in particular for AHSS.

In this study, we (a) formulated a general hypothesis about how wetland (functional and structural) traits influence avian diversity, (b) turned this hypothesis into a non-parametric Bayesian network, (c) disentangled the direct and indirect effects of the variables influencing waterbird species, and (d) simulated the changes expected to the levels of avian diversity as a result of numerous counterfactual and management scenarios. We applied our framework to the Sicilian wetlands as a whole; then, we downscaled simulations locally to a wetland of particular interest (Pantano Bruno). We found that (1) waterbird species are highly sensitive to wetland traits; (2) wetland traits have both direct and indirect effects upon alpha avian diversity; (3) the direct and indirect effects of wetland traits can be contrasting; (4) water level fluctuations (benefit), diversions (cost), and salinity (cost) are key factors for waterbird conservation; (5) these wetlands have the potential for hosting a level of alpha avian diversity that is double the baseline (from 19 to 38 species); (6) these wetlands are prone to ecological collapse if all traits deteriorate (from 19 to 6 species per wetland); and (7) the ecological information gained at the regional scale can be properly downscaled to the local scale to make inferences on single wetlands.