Potenzialità di alcuni siti paleontologici della Baviera (Germania) come mete per escursioni didattiche per gli studenti dei Corsi di studio di SG e SN.

This study reports on the potential of a number of fossil sites in the Bavaria region (Southern Germany) as destination for teaching purposes to be offered to the students of both Geological and Natural Sciences attending the course of Paleontology. Three quarries located in the Franken Jura, where Lower and Upper Jurassic rocks are exploited, have been visited (namely Buttenheim, Gräfenberg and Drügendorf) that returned a large number of fossil ammonites in an overall excellent preservation conditions. In addition, fossils have been collected with no significant effort, given the wide exposures and the soft embedding rocks. These findings suggest that these sites from Southern Germany may represent an adequate upkeep to the ever-increasing need for suitable destinations to be visited for field trips during the academic activities.ope

Asteroids co-orbital motion classification based on Machine Learning

In this work, we explore how to classify asteroids in co-orbital motion with a given planet using Machine Learning. We consider four different kinds of motion in mean motion resonance with the planet, nominally Tadpole, Horseshoe and Quasi-satellite, building 3 datasets defined as Real (taking the ephemerides of real asteroids from the JPL Horizons system), Ideal and Perturbed (both simulated, obtained by propagating initial conditions considering two different dynamical systems) for training and testing the Machine Learning algorithms in different conditions. The time series of the variable theta (angle related to the resonance) are studied with a data analysis pipeline defined ad hoc for the problem and composed by: data creation and annotation, time series features extraction thanks to the tsfresh package (potentially followed by selection and standardization) and the application of Machine Learning algorithms for Dimensionality Reduction and Classification. Such approach, based on features extracted from the time series, allows to work with a smaller number of data with respect to Deep Learning algorithms, also allowing to define a ranking of the importance of the features. Physical Interpretability of the features is another key point of this approach. In addition, we introduce the SHapley Additive exPlanations for Explainability technique. Different training and test sets are used, in order to understand the power and the limits of our approach. The results show how the algorithms are able to identify and classify correctly the time series, with a high degree of performance

Increased age and male sex are independently associated with higher frequency of blood–cerebrospinal fluid barrier dysfunction using the albumin quotient

Background: The cerebrospinal fluid (CSF)/serum quotient of albumin (QAlb) is the most used biomarker for the evaluation of blood–cerebrospinal fluid barrier (B-CSF-B) permeability. For years QAlb was considered only as an age-related parameter but recently it has also been associated to sex. The aim of the present study was to explore the impact of sex in the determination of B-CSF-B dysfunction. Methods: The analysis was retrospectively conducted on subjects consecutively admitted to the neurological ward. CSF and serum albumin levels were measured by immunonephelometry and pathological QAlb thresholds were considered: 6.5 under 40 years, 8.0 in the age 40–60 and 9.0 over 60 years. Results: 1209 subjects were included in the study. 718 females and 491 males (age: 15–88 years): 24.6% of patients had a diagnosis of multiple sclerosis, 23.2% suffered from other inflammatory neurological diseases, 24.6% were affected by non-inflammatory neurological diseases, and for 27.6% of patients the final neurological diagnosis could not be traced. Dysfunctional B-CSF-B was detected more frequently (44 vs. 20.1%, p < 0.0001) and median QAlb value were higher (7.18 vs. 4.87, p < 0.0001) in males than in females in the overall study population and in all disease sub- groups. QAlb and age were positively correlated both in female (p < 0.0001) and male (p < 0.0001) patients, however the slopes of the two regression lines were not significantly different (p = 0.7149), while the difference between the elevations was extremely significant (p < 0.0001) with a gap of 2.2 units between the two sexes. Finally, in a multivari- able linear regression analysis increased age and male sex were independently associated with higher QAlb in the overall study population (both p < 0.001) and after stratification by age and disease group. Conclusions: Accordingly, identification and validation of sex-targeted QAlb thresholds should be considered as a novel tool in an effort to achieve more precision in the medical approach

Water diffusion and swelling stresses in highly crosslinked epoxy matrices

The present work investigates the swelling induced stresses arising in two epoxy systems during water uptake. The analysed systems are two epoxy resin based on DGEBA monomer and DGEBF monomer respectively, both fully cured by DDS amine. The systems achieve different cross-link density degrees, and are characterised by high glass transition temperatures ranging between 200 and 230 °C. Both epoxies have been conditioned in deionized water baths at two different temperatures (50 °C and 80 °C). A desorption process at room temperature in a dry airborne environment was performed after saturation. Dynamic Mechanical Thermal Analysis, carried out at the various stages of hydrothermal conditioning, has allowed to characterise the modifications occurring in the network structures during aging. Photoelastic Stress Analysis is adopted to monitor the evolution of stresses on rectangular beam samples during absorption and desorption of water. Correlation of water uptake, dynamic mechanical behaviour and transitory stress fields, has allowed to make some assumptions about the influence of the epoxy network on the swelling behaviour

The resilience of EU Member States to the financial and economic crisis What are the characteristics of resilient behaviour?

This study presents an empirical analysis of the resilience of European countries to the financial and economic crisis that started in 2007. The analysis addresses the following questions: Which countries showed a resilient behaviour during and after the crisis? Is resilience related only to the economic dimension? Has any of the EU countries been able to use the crisis as an opportunity and 'bounce forward'? Is it possible to identify any particular country characteristics linked to resilience? The analysis is based on the JRC conceptual framework for resilience (Manca et al., 2017) which places at its core the wellbeing of individuals, thus going beyond the merely economic growth perspective. The study carefully selects a number of key economic and social variables that aim to capture the resilience capacities of our society. Resilience is measured by investigating the dynamic response of these variables to the crisis in the short and medium run. In particular, we define four resilience indicators: the impact of the crisis, the recovery, the medium-run, and the ‘bouncing forward’. Results from a narrow exercise focusing on macroeconomic and financial variables confirm the validity of the proposed measurement approach: Germany appears to be among the most resilient countries; Ireland, after having been severely hit, shows a good absorptive capacity; Italy seems to be still struggling with the recovery, while Greece remains the most affected. After measuring resilience, we identify underlying country characteristics that may be associated with resilient behaviour. As such, these could indicate entry points for policies to increase countries' resilience to economic and financial shocks.JRC.B.1-Finance and Econom

Propuesta audiovisual - El rincón de Rolo

El año 2020 supone un hito importante en la historia actual debido a la pandemia mundial, la cual es derivada de la enfermedad Covid-19 causada por un tipo coronavirus descubierto recientemente. Gobiernos de todo el mundo han dictado medidas para evitar la propagación del virus, generando así que las personas se queden en sus casas. Es así como han surgido nuevos métodos de educación y entretenimiento a través de las nuevas tecnologías; nuestra propuesta audiovisual busca ofrecer una nueva forma de comunicación, divulgación educativa y entretenimiento por medio de internet debido a las circunstancias del momento. “El rincón de Rolo” se trata de una serie web educativa para adolescentes. Rodrigo López, conocido por sus amigos como Rolo, es un chico de 16 años que está pasando la cuarentena en casa con su familia, al igual que muchos estudiantes a los que está dirigido este proyecto, por lo que se pueden sentir identificados con él. Rolo es un alumno ejemplar, sobre todo en la asignatura de historia, por ello decide a ayudar a su compañero Manuel a entender el curso de historia a través de videollamadas y, eventualmente, crear juntos un canal de YouTube dedicado a la historia universal

The BepiColombo MORE gravimetry and rotation experiments with the ORBIT14 software

open6noopenG. Schettino, S. Di Ruzza, S. Cicalò, G. Tommei; A. Milani Comparetti; E.M. AlessiSchettino, G.; DI RUZZA, Sara; Cicalò, S.; Tommei, G.; Milani Comparetti, A.; Alessi, E. M

Rapid and reversible knockdown of endogenously tagged endosomal proteins via an optimized HaloPROTAC degrader

Inducing post-translational protein knockdown is an important approach to probe biology and validate drug targets. An efficient strategy to achieve this involves expression of a protein of interest fused to an exogenous tag, allowing tag-directed chemical degraders to mediate protein ubiquitylation and proteasomal degradation. Here, we combine improved HaloPROTAC degrader probes with CRISPR/Cas9 genome editing technology to trigger rapid degradation of endogenous target proteins. Our optimized probe, HaloPROTAC-E, a chloroalkane conjugate of high-affinity VHL binder VH298, induced reversible degradation of two endosomally localized proteins, SGK3 and VPS34, with a DC₅₀ of 3–10 nM. HaloPROTAC-E induced rapid (∼50% degradation after 30 min) and complete (<i>D</i>_max of ∼95% at 48 h) depletion of Halo-tagged SGK3, blocking downstream phosphorylation of the SGK3 substrate NDRG1. HaloPROTAC-E more potently induced greater steady state degradation of Halo tagged endogenous VPS34 than the previously reported HaloPROTAC3 compound. Quantitative global proteomics revealed that HaloPROTAC-E is remarkably selective inducing only degradation of the Halo tagged endogenous VPS34 complex (VPS34, VPS15, Beclin1, and ATG14) and no other proteins were significantly degraded. This study exemplifies the combination of HaloPROTACs with CRISPR/Cas9 endogenous protein tagging as a useful method to induce rapid and reversible degradation of endogenous proteins to interrogate their function