Postprocessing Sample Clauses

Postprocessing. The MRI scans of all patients were collected and uploaded to two different dedicated breast MR workstations. The first workstation was an in-house developed application (MRCAD) that performs pharmacokinetic analysis using the high temporal resolution acquisi- tions in a Tofts model. The exact mechanism of this modeling approach, which yields the parameters Ktrans (the volume transfer constant [min—1]), kep (the rate constant [min—1]), ve (the relative fraction of the extracellular, extravascular space [%]), t0 (start of enhancement [s]), and latewash (final slope of the curve [%]), is described in detail elsewhere (29,30), but in short: the observed changes in signal are fitted to a general signal enhancement model. This reduces the acquired data to a standardized exponential curve based on the following five parameters; baseline signal (s0), start of enhancement (t0), time to peak enhance- ment (ttp), peak enhancement (sp), and wash. Subse- quently this reduced signal intensity versus time curve is converted to a tracer concentration (mmol/ ml) versus time curve, using the high temporal resolu- tion proton density acquisition and one of the turbo- FLASH acquisitions to calculate the native T1 of the tissue, and the signal from the peripheral fat to calculate machine gain. This, effectively, converts the signal peak (sp) to a concentration peak (cp). A standardized model of the plasma profile is used to calculate pharmacokinetic parameters for each voxel as: ve = cptumor/cpplasma, t0 = t0tumor — t0plasma, kep = 1/(ttptumor — ttpplasma), latewash = washtumor —
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Postprocessing. Diameter and distensibility measurements of the aortic root, as well as systolic LV function images, were analyzed by using the software package MASS (Medis, The Netherlands) (26). LV end-diastolic volume and end-systolic volume were assessed by drawing the LV endocardial contours at end-diastole and end-systole in allsections, as previously described (10,18,26). At end-diastole, the epicardial borders of the LV were drawn to obtain the LV mass with inclusion of the interventricular septum (10,18,26). Indexing was performed according to the Xxxxxxxxx formula: BSA = √ (height (cm) × weight (kg) / 3600), where BSA is the body surface area in square meters. The following parameters were then determined: end-diastolic volume, end-systolic volume, stroke volume, LV ejection fraction (LV EF) and LV mass (10,26). Flow velocity - encoded MRI data were analyzed with the software package FLOW (Medis, The Netherlands) (24). Flow curves were obtained with this method for aortic flow during the cardiac cycle. Contours were drawn for the aortic lumen and flow data were subsequently obtained from the velocity data of each voxel in all phases. Peak flow velocity was determined with a time-velocity analysis that revealed the voxel with maximum peak flow throughout the cardiac cycle. The manual drawing of all MRI contours and analysis of theother results was performed by one researcher (H.B.G., with 3 years of experience in cardiac MRI); these results were subsequently checked by a radiologist (L.J.M.K., with 9 years of experience in cardiac MRI) who was unaware of the patients’ conditions. Statistical analysis Statistical analysis was performed by using software (SPSS for Windows, version 12.0.1; SPSS, USA). All data are presented as mean ± 1 standard deviation, unless stated otherwise. The two-tailed Xxxx-Xxxxxxx U test was used to express differences between the patients and control subjects. Correlation between variables was expressed with the Xxxxxxxx rank correlation coefficient. Linear regression analysis was used to identify predictors of variables with backward elimination procedures. Statistical significance was indicated by P < 0.05. Results
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Postprocessing output data and analysis of results (CNRS) 46 2.5 Use of numerical codes for landslide early-warning and long-term predictions (EPFL) 50 3 Performance of numerical codes 52 3.1 Performance check of codes for slope scale analysis (EPFL) 52 3.2 Performance check of codes for regional scale analysis (UNISA) 56 4 Conclusions 65 5 References 66 1 CHALLENGES IN NUMERICAL MODELLING OF LANDSLIDES The numerical modelling of landslides is part of a multidisciplinary process, starting from in- situ investigations and continuous measurements to identify the landslide and its behaviour as a function of external, climatic factors and its geological and hydrogeological structure. Laboratory tests are conducted to determine in more detail the behaviour of the geomaterials composing the landslide. A geological model is built based on the available field data which allows characterising the landslide in more detail. Governing mechanisms are identified or at least hypotheses on possible mechanisms are formulated. In some cases, eventually the cause of the instability is determined. The geological and geotechnical characterisation of the landslide is important for the following modelling steps. The choice of adequate constitutive models for soils and rocks for the numerical modelling depends on the knowledge and lessons gained from the geological model and the field- and laboratory tests conducted on the different geomaterials. The actual process of numerical modelling itself is subject of technical issues related to the codes and calculation methods, the translation of geological and geotechnical input data into the model and the assumptions made based on geological and engineering expertise. Finally the results from the numerical models can help in understanding the role of different complex physical processes in each specific case study. They complete or revise the first output of the geological expertise. In some cases, they identify critical issues which result in further, more detailed and precise site investigations. The complete modelling process is subsequently reiterated. Of course, the results from numerical models need to go through a post-processing where engineering expertise is again an important factor for the correct output evaluation. Once the model is judged trustworthy based on a validation process, it can be used to simulate the landslide behaviour under variable environmental conditions in order to assess its susceptibility to accelerate and eventually f...
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Postprocessing output data and analysis of results (CNRS) The last step of the modelling process is the post-processing. Due to the complex subsurface conditions, the complex hydraulic and mechanical conditions, and the coupled hydro- mechanical conditions within most landslides, numerical modelling of landslides is very difficult. To evaluate the modelling approach the analysis has to be interpreted using the results of the numerical simulation (output data). Typical output data in landslide modelling are stresses (total stresses, effective stresses, pore water pressures, excess pore water pressures), strains (shear strains, volumetric strains), displacements (total displacements, horizontal displacements, vertical displacements) and the development of these quantities in time using stress rates, strain rates and displacement rates (velocities). The analysis of such quantities allows a sound engineering judgment on the problem but the reliability of the model and the computed results has to be checked by comparing the output data with field measurements (c.f. figure 1 in section 2.1).
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Related to Postprocessing

  • Sub-processing 1. The data importer shall not subcontract any of its processing operations performed on behalf of the data exporter under the Clauses without the prior written consent of the data exporter. Where the data importer subcontracts its obligations under the Clauses, with the consent of the data exporter, it shall do so only by way of a written agreement with the sub-processor which imposes the same obligations on the sub-processor as are imposed on the data importer under the Clauses. Where the sub-processor fails to fulfil its data protection obligations under such written agreement the data importer shall remain fully liable to the data exporter for the performance of the sub-processor’s obligations under such agreement.

  • Processing (a) The filing or pendency of any grievance or arbitration proceedings under this Article shall not operate to impede, preclude, or delay the University from taking the action complained of. Reasonable efforts, including the shortening of time limits when practical, shall be made to conclude the processing of a grievance prior to the expiration of the grievant's employment, whether by termination or failure to reappoint. An employee with a pending grievance will not continue to be compensated beyond the last date of employment.

  • Subprocessing 1. The data importer shall not subcontract any of its processing operations performed on behalf of the data exporter under the Clauses without the prior written consent of the data exporter. Where the data importer subcontracts its obligations under the Clauses, with the consent of the data exporter, it shall do so only by way of a written agreement with the subprocessor which imposes the same obligations on the subprocessor as are imposed on the data importer under the Clauses. Where the subprocessor fails to fulfil its data protection obligations under such written agreement the data importer shall remain fully liable to the data exporter for the performance of the subprocessor's obligations under such agreement.

  • Payment Processing Citizens may require any other information from Vendor that Citizens deems necessary to verify any compensation request placed under this Agreement and Vendor agrees that it will provide such information as reasonably requested by Citizens. Payment shall be due net thirty (30) calendar days of Citizens’ actual receipt of a complete and undisputed invoice. Where a submitted invoice is incomplete, such as not containing the information described in this Section, Citizens will return the incomplete invoice to Vendor for correction within thirty (30) calendar days of Citizens’ actual receipt of such invoice. Where Citizens reasonably disputes any part of a complete invoice, such as the amount of the compensation request, Citizens shall pay any undisputed portion of the invoiced amount within (30) calendar days of Citizens’ actual receipt of the complete invoice and will describe the basis for the disputed portion of the invoiced amount. Where Vendor disagrees with Citizens dispute of any invoice, the Parties shall seek to resolve the dispute in accordance with the Dispute Resolution Process further described in this Agreement. In no case shall Citizens be subject to late payment interest charges where Vendor has submitted an incomplete invoice or where Citizens has reasonably disputed an invoice. Where Vendor fails to submit an invoice within twelve (12) calendar months of the Services for which compensation is being requested, Vendor acknowledges and agrees that any payment due for such Services is forfeited by Vendor for its failure to timely submit an invoice.

  • Processing operations The personal data transferred will be subject to the following basic processing activities:

  • Details of the Processing The subject-matter of Processing of Personal Data by Data Processor is the performance of the Services pursuant to the Agreement. The duration of the Processing, the nature and purpose of the Processing, as well as the types of Personal Data Processed and categories of Data Subjects under this DPA are further specified in Schedule 1 (Details of the Processing) to this DPA.

  • Data Processing In this clause:

  • Details of Processing 3.1. For details of how personal data is processed under this Agreement, please register to see our "GDPR Portal" at xxxxx://xxxxxx- xxxxxxx.xxxxx.xxx/Xxxxxxx/x/xxxx-xxx. You may also request a copy of the Product Fact Sheet from Your Access Account Manager.

  • Transaction Processing All orders are subject to acceptance by us and by the Fund or its transfer agent, and become effective only upon confirmation by us. If required by law, each transaction shall be confirmed in writing on a fully disclosed basis and if confirmed by us, a copy of each confirmation shall be sent to you if you so request. All sales are made subject to receipt of shares by us from the Funds. We reserve the right in our discretion, without notice, to suspend the sale of shares of the Funds or withdraw the offering of shares of the Funds entirely. Orders will be effected at the price(s) next computed on the day they are received if, as set forth in the applicable Fund’s current Prospectus, the orders are received by us or an agent appointed by us or the Fund prior to the close of trading on the New York Stock Exchange, generally 4:00 p.m. eastern time (“Close of Trading”). Orders received after that time will be effected at the price(s) computed on the next business day. All orders must be accompanied by payment in U.S. Dollars. Orders payable by check must be drawn payable in U.S. Dollars on a U.S. bank, for the full amount of the investment. If you have entered into a FundSERV Agreement with us to effect transactions in Fund shares through FundSERV, you are hereby authorized to act on our behalf for the limited purpose of receiving purchase, exchange and redemption orders for Fund shares executed through FundSERV. You represent and warrant that all orders for the purchase, exchange or redemption of Fund shares transmitted to FundSERV for processing on or as of a given business day (Day 1) shall have been received by you prior to the Close of Trading on Day 1. Such orders shall receive the share price next calculated following the Close of Trading on Day 1 .You represent and warrant that orders received by you after the Close of Trading on Day 1 shall be treated by you and transmitted to FundSERV as if received on the next business day (Day 2). Such orders shall receive the share price next calculated following the Close of Trading on Day 2. You represent that you have systems in place reasonably designed to prevent orders received after the Close of Trading on Day 1 from being executed with orders received before the Close of Trading on Day 1.

  • Grievance Processing Union stewards or Union officials shall be permitted to have time off without loss of pay for the investigation and processing of grievances and arbitrations. Requests for such time off shall be made in advance and shall not be unreasonably denied. The Union will furnish the Employer with a list of Union stewards and their jurisdictions. The Union shall delineate the jurisdiction of Union stewards so that no xxxxxxx need travel between work locations or sub-divisions thereof while investigating grievances. Grievants shall be permitted to have time off without loss of pay for processing their grievances through the contractual grievance procedure, except that for class action grievances no more than three (3) grievants shall be granted such leave.

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