9,926 research outputs found
A NEW PLASMID CLONING VECTOR FOR DIRECT-DETECTION OF RECOMBINANT CLONES, BASED ON INACTIVATION OF A BACTERIAL ACID PHOSPHATASE-ENCODING GENE
No full textMetadata Representations for Queryable ML Model Zoos
No full textMachine learning (ML) practitioners and organizations are building model zoos of pre-trained models, containing metadata describing properties of the ML models and datasets that are useful for reporting, auditing, reproducibility, and interpretability purposes. The metatada is currently not standardised; its expressivity is limited; and there is no interoperable way to store and query it. Consequently, model search, reuse, comparison, and composition are hindered. In this paper, we advocate for standardized ML model metadata representation and management, proposing a toolkit supported to help practitioners manage and query that metadata.Web Information SystemsHuman-Centred Artificial Intelligenc
A Manifesto of Nodalism
No full textThis paper proposes the notion of Nodalism as a means describing contemporary culture and of understanding my own creative practice in electronic music composition. It draws on theories and ideas from Kirby, Bauman, Bourriaud, Deleuze, Guatarri, and Gochenour, to demonstrate how networks of ideas or connectionist neural models of cognitive behaviour can be used to contextualize, understand and become a creative tool for the creation of contemporary electronic music
A species-specific DNA probe for Providencia stuartii identification
No full textA DNA probe is described that can be used for identification of Providencia stuartii by means of filter hybridization assays. The probe, which is a fragment of the P. stuartii phoN gene coding for an acid phosphatase, appeared to be able to recognize only P. stuartii strains in slot-blot hybridization experiments performed with total DNA extracted from 545 strains of 64 different Gram-negative bacterial species, including all the major representatives of the family Enterobacteriaceae. Owing to the problems that may be often encountered for correct identification of P. stuartii at the species level when using commercial identification systems, this probe may result useful for fast and reliable identification of P. stuartii strains for taxonomical, epidemiological and diagnostic studies
Optimizing ML Inference Queries Under Constraints
No full textThe proliferation of pre-trained ML models in public Web-based model zoos facilitates the engineering of ML pipelines to address complex inference queries over datasets and streams of unstructured content. Constructing optimal plan for a query is hard, especially when constraints (e.g. accuracy or execution time) must be taken into consideration, and the complexity of the inference query increases. To address this issue, we propose a method for optimizing ML inference queries that selects the most suitable ML models to use, as well as the order in which those models are executed. We formally define the constraint-based ML inference query optimization problem, formulate it as a Mixed Integer Programming (MIP) problem, and develop an optimizer that maximizes accuracy given constraints. This optimizer is capable of navigating a large search space to identify optimal query plans on various model zoos.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Web Information SystemsHuman-Centred Artificial Intelligenc
Machine learning for Predictive Maintenance Study of a predictive model based on product quality
No full textLe strategie di Manutenzione Predittiva (PdM) sono oggi ampiamente utilizzate perché consentono miglioramenti sull’efficienza produttiva e la riduzione dei costi, in quanto prevedono l’esecuzione di azioni di manutenzione solo quando necessario, evitando guasti indesiderati e azioni preventive non necessarie. L'uso crescente di tecnologie 4.0 nell’industria ha consentito l'adozione dei recenti progressi Machine Learning (ML) per sviluppare strategie di manutenzione predittiva (PMS) estremamente efficaci. Inoltre, l'efficienza produttiva tiene conto non solo dei volumi di produzione in termini di pezzi prodotti o di ore lavorate, ma anche della qualità del prodotto (PQ), che è un parametro sempre più importante, anche per rilevare possibili guasti. Infatti, la PQ potrebbe essere utilizzata come parametro per prevedere possibili guasti, e incide profondamente sui costi di produzione. In questo contesto, questa ricerca ha l’obiettivo di creare un framework di manutenzione basato sulla qualità di prodotto attraverso il Machine Learning per determinare la strategia ottimale di manutenzione predittiva in base al livello desiderato di qualità del prodotto. Il framework è suddiviso in tre step, che partono dalla raccolta dei dati, proseguono con la scelta dell'algoritmo di ML, e terminano con l'analisi dei risultati. Il modello è stato testato all'interno di una linea di produzione di componenti elettromeccanici. I risultati mostrano che il legame tra le variabili che descrivono lo stato di funzionamento della macchina ei parametri qualitativi del processo produttivo, consente di impostare le azioni di manutenzione ottimizzando allo stesso tempo il tasso di scarto, ottenendo un miglioramento delle performance della macchina. Inoltre, l'applicazione del modello al processo produttivo consente di risparmiare circa il 50% dei costi per i fermi macchina e il 64% dei costi per gli scarti.Predictive Maintenance (PdM) strategy is nowadays the most suitable in terms of production efficiency and cost reduction, aiming to perform maintenance actions when needed, avoiding unwanted failures and unnecessary preventive actions. The increasingly use of 4.0 technologies in industries has allowed the adoption of recent advances in machine learning (ML) to develop an effective Predictive Maintenance Strategy (PMS). Moreover, production efficiency considers not only production volumes in terms of produced pieces or working hours, but also product quality (PQ), that is always a more important parameter, also to detect possible failures. In fact, PQ could be used as a parameter for predict possible failures and deeply affects production costs. In this context, this study aims to develop a Product Performance Based Maintenance framework through ML to determine the optimal PdM strategy based on the desired level of product quality and production performance. The framework is divided into three parts, starting from data collection, through the choice of the ML algorithm, and result analysis. The framework has been applied within the production line of electromechanical components. Results show that the link between the variables that describe the state of operation of the machine and the qualitative parameters of the production process allows to control maintenance actions based on scraps optimization, achieving an improvement in the operation of the machine. Moreover, the application of the model to the production process saves about 50% of the costs for machine downtime and 64% of the costs for scraps
Resistenza ai carbapenemi in Pseudomonas aeruginosa: ruolo delle metallo-beta-lattamasi acquisite.
No full textAppearance of IMP-1 metallo-β-lactamase in Europe
No full textThe bla IMP gene was the first transferable metallo-β-lactamase determinant identified in clinical isolates of various Enterobacteriaceae (Serratia marcescens, Klebsiella pneumoniae, Citrobacter freundii), Pseudomonas aeruginosa, and other nonfastidious gram-negative non-fermenters . Owing to the broad substrate profile of its product (the IMP-1 enzyme), which includes expanded-spectrum cephalosporins and carbapenems, spreading of bla IMP among similar pathogens is a matter of major concern for the future of antimicrobial chemotherapy. Thus far Thus far the bla IMP determinant has been detected in oonly clinical isolates from Japan and South Korea, while metallo-carbapenemase-producing P aeruginosastrains occasionally isolated in Europe have been found to harbour determinants other than bla IM
Time- and rate-dependent alterations of the QT interval precede the onset of torsade de pointes in patients with acquired QT prolongation.
No full textNovel 3-N-aminoglycoside acetyltransferase gene, aac(3)-Ic, from a Pseudomonas aeruginosa integron
No full textA novel gene, aac(3)-Ic, encoding an AAC(3)-I aminoglycoside 3-N-acetyltransferase, was identified on a gene cassette inserted into a Pseudomonas aeruginosa integron that also carries a blaVIM-2 and a cmlA7 gene cassette. The aac(3)-Ic gene product is 59 and 57% identical to AAC(3)-Ia and AAC(3)-Ib, respectively, and confers resistance to gentamicin and sisomicin
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