Dynamics of Scaphoideus titanus population in southern South Tyrol (Italy) and detection of Grapevine Flavescence Dorée phytoplasma in the insect with a multiplex real-time PCR

In South Tyrol the population of Scaphoideus titanus, the vector of Grapevine Flavescence dorée phytoplasma (FD), has been steadily increasing since 2010. The present work provides an overview of the monitoring activity of Scaphoideus titanus in South Tyrolean vineyards coupled with the description of a sensitive and reliable detection method of FD in the insect vector. We have developed an endogenous control of Scaphoideus titanus to be used in a multiplex real-time PCR, amplifying the map gene of FD phytoplasma. We present evidence on the performance of this new vector reference and its compatibility with FD detection

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines

Integrated data analysis (IDA) pipelines—that combine data management (DM) and query processing, high-performance computing (HPC), and machine learning (ML) training and scoring—become increasingly common in practice. Interestingly, systems of these areas share many compilation and runtime techniques, and the used—increasingly heterogeneous—hardware infrastructure converges as well. Yet, the programming paradigms, cluster resource management, data formats and representations, as well as execution strategies differ substantially. DAPHNE is an open and extensible system infrastructure for such IDA pipelines, including language abstractions, compilation and runtime techniques, multi-level scheduling, hardware (HW) accelerators, and computational storage for increasing productivity and eliminating unnecessary overheads. In this paper, we make a case for IDA pipelines, describe the overall DAPHNE system architecture, its key components, and the design of a vectorized execution engine for computational storage, HW accelerators, as well as local and distributed operations. Preliminary experiments that compare DAPHNE with MonetDB, Pandas, DuckDB, and TensorFlow show promising results

The microbiome of the leaf surface of Arabidopsis protects against a fungal pathogen

We have explored the importance of the phyllosphere microbiome in plant resistance in the cuticle mutants bdg (BODYGUARD) or lacs2.3 (LONG CHAIN FATTY ACID SYNTHASE 2) that are strongly resistant to the fungal pathogen Botrytis cinerea. The study includes infection of plants under sterile conditions, 16S ribosomal DNA sequencing of the phyllosphere microbiome, and isolation and high coverage sequencing of bacteria from the phyllosphere. When inoculated under sterile conditions bdg became as susceptible as wild-type (WT) plants whereas lacs2.3 mutants retained the resistance. Adding washes of its phyllosphere microbiome could restore the resistance of bdg mutants, whereas the resistance of lacs2.3 results from endogenous mechanisms. The phyllosphere microbiome showed distinct populations in WT plants compared to cuticle mutants. One species identified as Pseudomonas sp isolated from the microbiome of bdg provided resistance to B. cinerea on Arabidopsis thaliana as well as on apple fruits. No direct activity was observed against B. cinerea and the action of the bacterium required the plant. Thus, microbes present on the plant surface contribute to the resistance to B. cinerea. These results open new perspectives on the function of the leaf microbiome in the protection of plants

Die Mittenwaldbahn : Innsbruck, Garmisch, Partenkirchen, Reutte

Fecha de 1913 tomada de p.7Data na p.7, 191

Corporate-startup collaborations : how to systematically foster startup-driven innovation

In recent years, corporates that embrace an open innovation strategy increasingly turn to startups as an external source of innovation. Startups offer promising new ideas whereas corporates are generally capable of providing a pool of resources and organizational know-how. Startup programs offer a potent approach to bridge both parties to embrace each others potential and to establish a mutually beneficial collaboration. However, indifferent to the type of startup program, differences between corporates and startups challenge collaborations and consequently their potential of an ongoing post-program partnership. Therefore, corporate-startup collaborations require a design framework that is capable of adding value to both startups and corporates during the program as well as to enable long-term partnerships. Based on the data, generated through interviews with corporate managers, mentors, and startups (n=20), this study suggests design principles for how organizations can systematically foster innovation through collaborating with startups beyond the boundaries of a specific startup program. The results indicate that in order to successfully nurture and later integrate startup-driven innovations, corporates need to consider the design dimensions, purpose, program, process, partnership, people, and place as well as their interrelations and impact on one another. This framework enables corporations to foster corporate startup-driven innovation and assists in integrating corporate-startup collaborations in a corporates overall innovation strategy.submitted by Thomas InnerebnerUniversität Innsbruck, Masterarbeit, 2018(VLID)256710