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There is today ample evidence that academic achievement depends on individual disparities in socioeconomic status (SES), working memory (WM) and academic self-concept (ASC). However, because these factors were investigated intensively but in separate fields of research in the past four to six decades, their relationships remain largely unknown. The present study investigated whether SES, WM and ASC interact with each other or represent independent contributions to academic achievement in 2379 adolescents in middle and high schools. The findings confirmed previous results showing that students with lower SES, lower WM and lower ASC perform less well on academic tests. Above all, they revealed subtle patterns of mediating processes. Specifically, individual differences in WM processing, and to a lesser extent in ASC, accounted for most part of the negative impact of low SES on academic achievement. These findings indicate that being a member of disadvantaged groups impair both WM processing and ASC and provide a clearer picture of the complex involvements of socioeconomic, cognitive and self-perception factors in academic achievement.

We present an automated method for mapping the b values. The algorithm is very simple and presents three advantages: (a) it does not requires any tuning of the parameters like, for instance, a fixed cell size or a maximum radius of the cell; (b) it implies a more appropriate use of the catalog, by using almost all the events in the catalog used (with a tolerance of 1%) with no overlap; (c) it implies the full independence of the b values, thus allowing the statistical comparison of the results using standard tests. Although the resulting b values are comparable with those obtained by applying the other methods of common use in seismology, these latter (a) leave out many earthquakes from the analysis, with loose of useful information, (b) produce diffuse cells overlapping aiming at reaching many cells of the grid in order to get the correct number of events in each cell, and (c) results in correlated b values, which do not allow the test of significance for the differences in the b values. Finally, due to the independence from any ad hoc a‐priori choice, our method is suitable for automatic and operator‐free procedures. Plain Language Summary The methods usually used in seismology for mapping the b value require the tuning of some parameters depending on the analyzed catalog. Here we propose a method that only implies the choice of the minimum number of earthquakes needed to obtain reliable b value estimates, which does not depend on the specific cases. Due to the mutual complete independence of the resulting b values, the proposed method allows the use of standard statistical tests to compare the results. Key Points b maps are evaluated for four different catalogues The used method is an automated one not requiring any parameter tuning The used method provides independent b value for each cell of the grid

The National Research Centre (CN) for High Performance Computing, Big Data and Quantum Computing, managed by the ICSC Foundation, has been established under the National Recovery and Resilience Plan as part of the Education and Research Mission. The CN includes an Infrastructure Spoke plus 10 thematic Spokes and, besides building a world-class supercomputing cloud infrastructure, its purpose is to carry out research in computing and high-performance data analysis, identified as strategic areas for any future scientific and technological development. In particular the Spoke 2, dedicated to “Fundamental Research & Space Economy”, addresses the challenge of increasing computational needs in the field of theoretical and experimental collider physics, astroparticle physics and gravitational waves investigation. In this contribution, after a short overview of the CN and of the planned infrastructure, the status and perspectives of the Spoke 2 are presented. Furthermore, two use-cases are illustrated: i) data-driven identification of signals in different experimental apparatuses (in particular a Liquid Argon TPC and a ground array of water-Cherenkov detectors) using self-supervised neural networks; ii) analysis of satellite imagery for the segmentation of wildfire-affected areas, employing supervised deep learning techniques on the data from the Copernicus Sentinel-2 mission and the Copernicus Emergency Management Service.

In the recent years, argon-based experiments looking for Dark Matter in the Universe have explored the non-standard scenario in which Dark Matter is made by low-mass Weakly Interacting Massive Particles, of mass in the range of 1–10 GeV instead of the canonical hundreds of GeV. Detecting such particles is challenging, as their expected signatures are nuclear recoils with energies below 10 keV, observable solely via ionization. This necessitates a precise understanding of the detector response in this energy regime, which remains incomplete for argon. To address this, the ReD experiment was developed within the framework of the DarkSide-20k Collaboration to produce and characterize few-keV nuclear recoils. A compact dual-phase argon Time Projection Chamber (TPC) was irradiated with neutrons from a$$^{252}$$252 Cf source, to produce Ar recoils in the energy range of interest via (n,n’) elastic scattering. A downstream spectrometer composed of 18 plastic scintillators detected the neutrons scattered off Ar nuclei, enabling recoil energy reconstruction via two-body kinematics. The ionization yield$$Q_{y}$$Q y of argon, defined as the number of electrons produced per unit energy deposit, was measured in a model-independent way between 2 and 10 keV. These measurements extend direct experimental coverage well below the previous limit of approximately 7 keV. The results are consistent with existing data above 7 keV, while they indicate a higher$$Q_{y}$$Q y at lower energies.

Optogenetic methods have been highly effective for suppressing neural activity and modulating behavior in rodents, but effects have been much smaller in primates, which have much larger brains. Here, we present a suite of technologies to use optogenetics effectively in primates and apply these tools to a classic question in oculomotor control. First, we measured light absorption and heat propagation in vivo, optimized the conditions for using the red-light–shifted halorhodopsin Jaws in primates, and developed a large-volume illuminator to maximize light delivery with minimal heating and tissue displacement. Together, these advances allowed for nearly universal neuronal inactivation across more than 10 mm³ of the cortex. Using these tools, we demonstrated large behavioral changes (i.e., up to several fold increases in error rate) with relatively low light power densities (≤100 mW/mm²) in the frontal eye field (FEF). Pharmacological inactivation studies have shown that the FEF is critical for executing saccades to remembered locations. FEF neurons increase their firing rate during the three epochs of the memory-guided saccade task: visual stimulus presentation, the delay interval, and motor preparation. It is unclear from earlier work, however, whether FEF activity during each epoch is necessary for memory-guided saccade execution. By harnessing the temporal specificity of optogenetics, we found that FEF contributes to memory-guided eye movements during every epoch of the memory-guided saccade task (the visual, delay, and motor periods).

L’article présente les résultats d’une recherche commandée sur la question des usages du numérique dans la relation école-famille, en s’intéressant aux écoles primaires. Il s'intéresse notamment à l'expérimentation française du programme « Territoires Numériques Educatifs » visant à accompagner l'accélération du numérique dans les quartiers situés dans la « Politique de la Ville » afin de réduire les inégalités numériques. Le corpus est constitué des données d'une enquête de terrain menée en région Centre-Val-de-Loire entre février et juin 2022, principalement à partir d'entretiens collectifs et individuels auprès de professionnels des domaines de l'éducation, des activités sociales et éducatives, de la protection de l'enfance et de la protection de l'enfance. soutien parental. L'analyse des données met en évidence la dynamique de la mixité, qui repose sur l'engagement de plus d'une vingtaine de partenaires dans un territoire touché par les inégalités économiques et sociales. Les dynamiques observées illustrent les démarches d'un « territoire apprenant » autour des enjeux d'accompagnement de la parentalité numérique.

Concentrations of Cr, Co, Ni, Cu, Zn, Pb and Fe in the topsoils (0–10 cm) from Las Tunas city were measured by X-ray fluorescence analysis. The mean Cr, Co, Ni, Cu, Zn and Pb contents in the urban topsoil samples (97 ± 30, 14 ± 2, 35 ± 36, 94 ± 26, 199 ± 87 and 42 ± 29 mg kg −1 dry weight, respectively) were compared with mean concentrations for other cities around the world with similar population. Cr content in school grounds, parks and residential areas exceed in 20 % the average Cr background level. Highest content for Ni was determined in residential areas, for Zn in market gardens soils and as for Pb, the highest topsoil-background content ratios were observed for market gardens (2.7) and residential areas (2.3). Spatial distribution maps indicated the same behaviour for Cr–Co–Ni and Pb–Zn, respectively, whereas the spatial distribution of Cu differs from other heavy metals. On the other hand, the metal-to-iron normalisation, using (10–20 cm) bottom soil contents as background, showed that topsoils in Las Tunas city are severely enriched with lead and not enriched with the rest of the determined metals. The average values of integrated pollution index (IPI) indicated that soils are moderately contaminated by heavy metals (1.17 ≤ IPI ave  ≤ 1.39), but enrichment index values shows that metal concentrations on the studied locations are not above the permissible levels for urban agriculture.

Fish oil is used in the production of feed for cultured fish owing to its high polyunsaturated fatty acid content (PUFA). The over-exploitation of fisheries and events like “El Niño” are reducing the fish oil supply. Some marine microorganisms are considered potentially as alternative fatty acid sources. This study assesses a strain of Rhodotorula sp. (strain CNYC4007; 27% docosahexaenoic acid (DHA) of total fatty acids), as feed for fish larvae. The total length and ribonucleic acid (RNA)/deoxyribonucleic acid (DNA) ratio of Danio rerio larvae was determined at first feeding at six and 12 days old (post-yolk absorption larvae). Larvae fed with microencapsulated Rhodotorula sp. CNYC4007 had a significantly higher RNA/DNA ratio than control group (C1). At six days post-yolk absorption group, the RNA/DNA ratio of larvae fed with Rhodotorula sp. bioencapsulated in Brachionus sp. was significantly higher than control group fed with a commercial diet high in DHA (C2-DHA). Finally, at 12 days post-yolk absorption, the RNA/DNA ratio was significantly higher in larvae fed with Rhodotorula sp. CNYC4007 and C2-DHA (both bioencapsulated in Artemia sp. nauplii) than in control group (C1). These results suggest that Rhodotorula sp. CNYC4007 can be an alternative source of DHA for feeding fish at larval stage, providing a sustainable source of fatty acids.

The high consumption of firewood in Honduras necessitates the search for alternatives with less-negative effects on health, the economy, and the environment. One of these alternatives has been the promotion of improved cooking stoves, which achieve a large reduction in firewood consumption. This paper presents a cost-benefit analysis for an improved cooking stove adoption strategy for Honduras. The methodology uses the Long-range Energy Alternatives Planning System, LEAP, a tool used globally in the analysis and formulation of energy policies and strategies. The energy model considers the demand for firewood as well as the gradual introduction of improved cooking stoves, according to the premises of a National Strategy for improved cooking stoves adoption in Honduras. Hence, it is demonstrated that the costs of implementing this adoption strategy are lower than the costs of not implementing it, taking into consideration representative scenarios up to and including the year 2030.

Two isolates, belonging to a new species of a novel genus of the Phylum “ Deinococcus/Thermus ”, were recovered from hot spring runoffs on the Island of São Miguel in the Azores. Strains RQ-24 T and TU-8 are the first cultured representatives of a distinct phylogenetic lineage within this phylum. These strains form orange/red colonies, spherical-shaped cells, have an optimum growth temperature of about 50 °C, an optimum pH for growth between about 7.5 and 9.5, and do not grow at pH below 6.5 or above pH 11.2. These organisms grow in complex media without added NaCl, but have a maximum growth rate in media with 1.0% NaCl and grow in media containing up to 6.0% NaCl. The organisms are extremely ionizing radiation resistant; 60% of the cells survive 5.0 kGy. These strains are chemoorganotrophic and aerobic; do not grow in Thermus medium under anaerobic conditions with or without nitrate as electron acceptor and glucose as a source of carbon and energy, but ferment glucose to d-lactate without formation of gas. The organisms assimilate a large variety of sugars, organic acids and amino acids. Fatty acids are predominantly iso- and anteiso-branched; long chain 1,2 diols were also found in low relative proportions; menaquinone 8 (MK-8) is the primary respiratory quinone. Peptidoglycan was not detected. Based on 16S rRNA gene sequence analysis, physiological, biochemical and chemical analysis we describe a new species of one novel genus represented by strain RQ-24 T (CIP 108686 T = LMG 22925 T = DSM 17093 T) for which we propose the name Truepera radiovictrix. We also propose the family Trueperaceae fam. nov. to accommodate this new genus.