Progetto Terra più Sicura: i rischi geologici e la loro prevenzione spiegati agli studenti delle scuole secondarie di primo grado

L'associazione Geologia Senza Frontiere onlus (www.gsf.it) è nata nel 2003 dalla volontà di un gruppo di geologi, ambientalisti e naturalisti di dare una prospettiva comune alle competenze conseguite nell'ambito della ricerca universitaria, dell'attività professionale e della cooperazione. Durante l'anno scolastico 2013-2014 Geologia Senza Frontiere ha ideato e realizzato il progetto Terra più Sicura (TpS), volto all'insegnamento dei rischi geologici in scuole secondarie di primo grado di Lazio, Toscana e Veneto. Gli obiettivi del progetto sono stati in particolare l'avvicinamento di studenti ed insegnanti ai problemi della sicurezza del territorio, dei rischi in esso presenti, oltre a come prevenire ed affrontare in maniera consapevole e corretta le emergenze naturali

High-density molecular characterization and association mapping in Ethiopian durum wheat landraces reveals high diversity and potential for wheat breeding

Durum wheat (Triticum turgidum subsp. durum) is a key crop worldwide, and yet, its improvement and adaptation to emerging environmental threats is made difficult by the limited amount of allelic variation included in its elite pool. New allelic diversity may provide novel loci to international crop breeding through quantitative trait loci (QTL) mapping in unexplored material. Here, we report the extensive molecular and phenotypic characterization of hundreds of Ethiopian durum wheat landraces and several Ethiopian improved lines. We test 81 587 markers scoring 30 155 single nucleotide polymorphisms and use them to survey the diversity, structure, and genome-specific variation in the panel. We show the uniqueness of Ethiopian germplasm using a siding collection of Mediterranean durum wheat accessions. We phenotype the Ethiopian panel for ten agronomic traits in two highly diversified Ethiopian environments for two consecutive years and use this information to conduct a genome-wide association study. We identify several loci underpinning agronomic traits of interest, both confirming loci already reported and describing new promising genomic regions. These loci may be efficiently targeted with molecular markers already available to conduct marker-assisted selection in Ethiopian and international wheat. We show that Ethiopian durum wheat represents an important and mostly unexplored source of durum wheat diversity. The panel analysed in this study allows the accumulation of QTL mapping experiments, providing the initial step for a quantitative, methodical exploitation of untapped diversity in producing a better wheat

The ATLAS Simulation: an LHC Challenge

The simulation program for the ATLAS experiment at CERN is currently in a full operational mode and integrated into the ATLAS common analysis framework, Athena. The OO approach, based on GEANT4, and in use during the DC2 data challenge has been interfaced within Athena and to GEANT4 using the LCG dictionaries and Python scripting. The robustness of the application was proved during the DC2 data challenge. The Python interface has added the flexibility, modularity and interactivity that the simulation tool requires in order to be able to provide a common implementation of different full ATLAS simulation setups, test beams and cosmic ray applications. Generation, simulation and digitization steps were exercised for performance and robustness tests. The comparison with real data has been possible in the context of the ATLAS Combined Test Beam (2004) and ongoing cosmic ray studies

A forward genetics approach integrating genome-wide association study and expression quantitative trait locus mapping to dissect leaf development in maize (Zea mays)

The characterization of the genetic basis of maize (Zea mays) leaf development may support breeding efforts to obtain plants with higher vigor and productivity. In this study, a mapping panel of 197 biparental and multiparental maize recombinant inbred lines (RILs) was analyzed for multiple leaf traits at the seedling stage. RNA sequencing was used to estimate the transcription levels of 29\ua0573 gene models in RILs and to derive 373\ua0769 single nucleotide polymorphisms (SNPs), and a forward genetics approach combining these data was used to pinpoint candidate genes involved in leaf development. First, leaf traits were correlated with gene expression levels to identify transcript\u2013trait correlations. Then, leaf traits were associated with SNPs in a genome-wide association (GWA) study. An expression quantitative trait locus mapping approach was followed to associate SNPs with gene expression levels, prioritizing candidate genes identified based on transcript\u2013trait correlations and GWAs. Finally, a network analysis was conducted to cluster all transcripts in 38 co-expression modules. By integrating forward genetics approaches, we identified 25 candidate genes highly enriched for specific functional categories, providing evidence supporting the role of vacuolar proton pumps, cell wall effectors, and vesicular traffic controllers in leaf growth. These results tackle the complexity of leaf trait determination and may support precision breeding in maize

SILVER CATALYSED INTRAMOLECULAR CYCLISATION OF 2-ALKYNYL-ACETOPHENONES AND 3-ACETYL-2-ALKYNYLPYRIDINES IN THE PRESENCE OF AMMONIA

The development of new domino approaches for the synthesis of nitrogen containing heterocycles is a research field in continuous evolution. In particular, for many years we have been interested in the synthesis of nitrogen containing rings starting from alkyne derivatives in the presence of ammonia. Recently we reported a valuable approaches to the synthesis isoquinolines starting from 2-alkynyl-benzaldehydes,2 and the approach was also successfully transformed in a multicomponent process.3 Unexpectedly, when we tried to react 2-alkynylacetophenone derivatives under optimized conditions the reaction failed. This result prompt us to investigate the reaction of alkynyl ketones more in depth. We started our study looking for the best conditions to trigger the domino reaction on a model compound. We tried some metal catalysts potentially able to promote both the imine formation as Lewis acid, and the intermolecular hydroamination step as alkynophilic catalysts.4 We were delighted to find that the metal catalysed reaction gave the desired isoquinoline, beside variable amounts of the isomeric naphthalen-1-amine. The best results were obtained with AgOTf in terms of conversion, selectivity and reaction times. Scope and limitation of the approach have been extensively studied. We found that the silver-catalyzed/microwave-promoted domino imination/annulation of alkynes bearing a proximate carbonyl group in the presence of ammonia is an interesting alternative for the synthesis of aromatic heterocycles and carbocycles. A plausible mechanism is also suggested

Dopamine neuronal loss contributes to memory and reward dysfunction in a model of Alzheimer's disease

Alterations of the dopaminergic (DAergic) system are frequently reported in Alzheimer’s disease (AD) patients and are commonly linked to cognitive and non-cognitive symptoms. However, the cause of DAergic system dysfunction in AD remains to be elucidated. We investigated alterations of the midbrain DAergic system in the Tg2576 mouse model of AD, overexpressing a mutated human amyloid precursor protein (APPswe). Here, we found an age-dependent DAergic neuron loss in the ventral tegmental area (VTA) at pre-plaque stages, although substantia nigra pars compacta (SNpc) DAergic neurons were intact. The selective VTA DAergic neuron degeneration results in lower DA outflow in the hippocampus and nucleus accumbens (NAc) shell. The progression of DAergic cell death correlates with impairments in CA1 synaptic plasticity, memory performance and food reward processing. We conclude that in this mouse model of AD, degeneration of VTA DAergic neurons at pre-plaque stages contributes to memory deficits and dysfunction of reward processing

The ATLAS Detector Digitization Project for 2009 data taking

The ATLAS digitization project is steered by a top-level PYTHON digitization package which ensures uniform and consistent configuration across the subdetectors. The properties of the digitization algorithms were tuned to reproduce the detector response seen in lab tests, test beam data and cosmic ray running. Dead channels and noise rates are read from database tables to reproduce conditions seen in a particular run. The digits are then persistified as Raw Data Objects (RDO) with or without intermediate bytestream simulation depending on the detector type. Emphasis is put on the description of the digitization project configuration, its flexibility in events handling for processing and in the global detector configuration, as well as its variety of options including detector noise simulation, random number service, metadata and details of pile-up background events to be overlaid. The LHC beam bunch spacing is also configurable, as well as the number of bunch crossings to overlay and the default detector conditions (including noisy channels, dead electronics associated with each detector layout). Cavern background calculation, beam halo and beam gas treatment, pile-up with real data is also part of this report

Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI

The key component of a microstructural diffusion MRI 'super-scanner' is a dedicated high-strength gradient system that enables stronger diffusion weightings per unit time compared to conventional gradient designs. This can, in turn, drastically shorten the time needed for diffusion encoding, increase the signal-to-noise ratio, and facilitate measurements at shorter diffusion times. This review, written from the perspective of the UK National Facility for In Vivo MR Imaging of Human Tissue Microstructure, an initiative to establish a shared 300 mT/m-gradient facility amongst the microstructural imaging community, describes ten advantages of ultra-strong gradients for microstructural imaging. Specifically, we will discuss how the increase of the accessible measurement space compared to a lower-gradient systems (in terms of Δ, b-value, and TE) can accelerate developments in the areas of 1) axon diameter distribution mapping; 2) microstructural parameter estimation; 3) mapping micro-vs macroscopic anisotropy features with gradient waveforms beyond a single pair of pulsed-gradients; 4) multi-contrast experiments, e.g. diffusion-relaxometry; 5) tractography and high-resolution imaging in vivo and 6) post mortem; 7) diffusion-weighted spectroscopy of metabolites other than water; 8) tumour characterisation; 9) functional diffusion MRI; and 10) quality enhancement of images acquired on lower-gradient systems. We finally discuss practical barriers in the use of ultra-strong gradients, and provide an outlook on the next generation of 'super-scanners'