Übersetzung für "Manage data models " (Englisch → Deutsch) :

(91) In order to ensure uniform conditions for the implementation of this Regulation, the implementing powers relating to the model to be used when submitting the progress report, the model of operational programme for the Funds, the format for information on major projects and methodology to be used in carrying out the cost-benefit analysis, the model for the joint action plan, the model of the annual and final implementation reports, the model for the management declaration, the technical specifications for the data to be recorded and stored within monitoring systems established by managing ...[+++] authorities, the models for the audit strategy, opinion and annual control report, should be conferred on the Commission. Those powers should be exercised in accordance with Regulation (EU) No 182/2011 of the European Parliament and of the Council of 16 February 2011 laying down the rules and general principles concerning mechanisms for control by Member States of the Commission's exercise of implementing powers.

They will help to manage complex decision making, in particular the handling and analysis of huge quantities of data for collaborative policy modelling, simulation of decision making, visualisation techniques, process modelling and participatory systems as well as to analyse changing relationships between citizens and the public sector.

H. whereas the scientific community at large considers that the original formulation of the MSY model is now outmoded because of the problems involved in transferring to the management field a theoretical, mathematical model whose precise formulation requires detailed knowledge of the population dynamics of the stock and long historical strings of data, and whereas any mistake, error or uncertainty in the model will inevitably pus ...[+++]h fishing over the MSY limit,

EUROPA - EU law and publications - EUR-Lex - EUR-Lex - 32007R0498 - EN - Commission Regulation (EC) No 498/2007 of 26 March 2007 laying down detailed rules for the implementation of Council Regulation (EC) No 1198/2006 on the European Fisheries Fund - COMMISSION REGULATION // OPERATIONAL PROGRAMME // INSTRUCTIONS FOR CREATING THE EMBLEM AND A DEFINITION OF THE STANDARD COLOURS // LIST OF DATA TO BE COMMUNICATED ON REQUEST TO THE COMMISSION UNDER ARTICLE 40 // TECHNICAL PARAMETERS FOR RANDOM STATISTICAL SAMPLING UNDER ARTICLE 43 (SAMPLING) // MODEL AUDIT STRATEGY AS PROVIDED FOR IN ARTICLE 61(1)(C) OF REGULATION (EC) No 1198/2006 // MODEL ANNUAL CONTROL REPORT AND OPINION // MODEL FINAL CONTROL REPORT AND CLOSURE DECLARATION FOR THE OPERATIO ...[+++]NAL PROGRAMME UNDER ARTICLE 61(1)(f) OF REGULATION (EC) No 1198/2006 AND ARTICLE 44(3) OF THE PRESENT REGULATION // MODEL DECLARATION FOR THE PARTIAL CLOSURE OF THE OPERATIONAL PROGRAMME UNDER ARTICLE 44(5) // CERTIFICATE AND STATEMENT OF EXPENDITURE AND APPLICATION FOR PAYMENT // ANNUAL STATEMENT ON WITHDRAWN AND RECOVERED AMOUNTS AND PENDING RECOVERIES UNDER ARTICLE 46(2) // MODEL STATEMENT OF EXPENDITURE FOR A PARTIAL CLOSURE UNDER ARTICLE 46(3) // DESCRIPTION OF MANAGEMENT AND CONTROL SYSTEMS UNDER ARTICLE 71 OF REGULATION (EC) No 1198/2006 AND ARTICLE 47 OF THE PRESENT REGULATION // FORECASTS OF LIKELY APPLICATIONS FOR PAYMENT // ANNUAL AND FINAL REPORTING

- for health: personal non-obtrusive systems that enable citizens to manage their well-being such as wearable or implantable monitoring devices with communication capabilities and autonomous systems for supporting a healthy state; emerging techniques such as molecular imaging for improved prevention and individualised medicine; health knowledge discovery and application in clinical practice; modelling and simulation of organ functions; micro- and nano-robotic devices for minimally invasive surgical and therapeutic applications; r ...[+++]emote assistance and remote monitoring technologies for the chronically ill and for elderly people; computer aided detection and clinical decision support systems that lead to more reliable diagnosis and an improved workflow, eventually leading to disease specific expert systems taking an integral carecycle approach, and exploiting accumulated patient data, and model based disease knowledge through data mining, bioinformatics, and systems biology; enterprise IT systems leading to increased efficiency and reduced medical error in the hospital and in secondary care facilities;

- for health: personal non-obtrusive systems that enable citizens to manage their well-being such as wearable or implantable monitoring devices with communication capabilities and autonomous systems for supporting a healthy state; emerging techniques such as molecular imaging for improved prevention and individualised medicine; health knowledge discovery and application in clinical practice; modelling and simulation of organ functions; micro- and nano-robotic devices for minimally invasive surgical and therapeutic applications; r ...[+++]emote assistance and remote monitoring technologies for the chronically ill and for elderly people; computer aided detection and clinical decision support systems that lead to more reliable diagnosis and an improved workflow, eventually leading to disease specific expert systems taking an integral carecycle approach, and exploiting accumulated patient data, and model based disease knowledge through data mining, bioinformatics, and systems biology; enterprise IT systems leading to increased efficiency and reduced medical error in the hospital and in secondary care facilities;