349 research outputs found
Comparing quantum and classical machine learning for Vector Boson Scattering background reduction at the Large Hadron Collider
No full textWe report on a consistent comparison between techniques of quantum and classical machine learning applied to the classification of signal and background events for the Vector Boson Scattering processes, studied at the Large Hadron Collider installed at the CERN laboratory. Quantum machine learning algorithms based on variational quantum circuits are run on freely available quantum computing hardware, showing very good performances as compared to deep neural networks run on classical computing facilities. In particular, we show that such kind of quantum neural networks is able to correctly classify the targeted signal with an Area Under the characteristic Curve (AUC) that is very close to the one obtained with the corresponding classical neural network, but employing a much lower number of resources, as well as less variable data in the training set. Albeit giving a proof-of-principle demonstration with limited quantum computing resources, this work represents one of the first steps towards the use of near term and noisy quantum hardware for practical event classification in High Energy Physics experiments
New pathways of site selective aromatic alkylation of palladium complexes: fragmentation to arenes vs ring closure to hexahydromethano-fluorenes or -phenanthrenes
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Innovative Implementation in Socket Design: Digital Models to Customize the Product
No full textFull paper on CD-RO
PLM paradigm: How to lead BPR within the Product Development field
No full textThe design and implementation of a PLM solution in a cross-company environment is a complex and labour intensive operation, which is often coupled with a Business Process Re-engineering (BPR) project to better deploy technologies as well as methodologies and to target the system implementation on the real company needs. Enterprise Modelling (EM) languages are typically used to collect and share process knowledge among the BPR participants. Plenty of techniques are actually available at this scope and it is not always easy to understand how to select and use them in the different steps of re-engineering. The main purpose of this paper is to perform a qualitative analysis of three well known EM languages (IDEF, UML and ARIS) and to propose a new methodology, based on their integrated use, supporting BPR efforts in the Product Development domain.</p
Metodi di Rappresentazione della Conoscenza nella Progettazione Assistita
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Human in the loop: a model to integrate interaction issues in complex simulations
No full textSeveral activities of the product development process as for example ergonomic analyses, usability testing, and what is defined as User Experience - UX- design in general require humans to be involved as testers. In order to achieve a good effectiveness degree, these tests must be performed on prototypes as much as possible similar to the final product, and this is costly and sometimes difficult to obtain during the development process. This is especially true at the earliest stages of the process. Functional mock-up - FMU - methods and tools can be of great help, because they allow technological aspects of the products, as electronics, hydraulics, mechanics, etc. to be represented and managed in a simple and effective way. Mathematical equations allow product behavior to be determined, due to input values representing the application environment of the product. At the moment, an FMU model is great in simulating product behavior from the technological point of view, but concerns about user interaction issues are left apart. The research described in this paper aims at widening the coverage of FMU to user-product interaction issues. The goal aims at evaluating the possibility of substituting real users with a characterization of them, and to model and simulate interaction in a homogeneous way together with all the other product aspects. All of this makes the research activities very challenging, and the result is a sort of FMU-assisted interaction modeling. As an evolution of what is generally recognized as hardware and software-in-the-loop, this methodology will be referred as human-in-the-loop. © 2013 Springer-Verlag Berlin Heidelberg
The photosystem ll subunit CP29 can be phosphorylated in both C3 and C4 plants as suggested from sequence analysis.
No full textThe CP29 subunit of Photosystem II is reversibly phosphorylated in Zea mays upon exposure to high light in the cold (Bergantino et al., J Biol Chem 270 (1995) 8474-8481). This phenomenon was previously proposed to be restricted to C4 plants. We present the complete sequence of the CP29 protein, deduced from a maize Lhcb4 cDNA clone, and its comparison with the previously known Lhcb4 sequences of two C3 plants: Hordeum vulgare and Arabidopsis thaliana. Despite the relatively low degree of homology in their amino-terminal region, i.e. the part of the molecule which is phosphorylated in maize, the three polypeptides conserve consensus sequences for the site of phosphorylation. We proved by immunoblotting and 33P-labelling that the same post-translational modification occurs in barley. Being thus common to C3 and C4 plant species, the phosphorylation of this minor antenna complex of Photosystem II appears now as a widespread phenomenon, possibly part of the phosphorylation cascade which signals the redox status of the plastoquinone to the nuclear transcription apparatus. Arabidopsis plants do not show phosphorylation of CP29 in the same conditions, but other low-molecular-weight phosphoproteins, whose role need to be elucidated, become evident
Operational Mode and Slicing Adaptation in OpenConfig Disaggregated Optical Networks
No full textThis paper proposes and experimentally validates a workflow to handle network failures implying the change of the operational mode on optical OpenConfig transponders. An SDN control plane is considered with a real packet-optical data plane
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