Analyses. A/ – As soon as possible after each shipment, the Buyer and the Seller shall exchange, at a date to be agreed upon, the results of analyses made in their respective laboratories on the samples drawn during the loading operations displaying both moisture content of the product as delivered and dry basis BPL concentration. In case the difference between the dry basis BPL contents shown by the two analyses is below or equal to one BPL unit per cent, the average of moisture contents of the product as delivered and the average of dry basis BPL contents shall be taken into consideration as concerns the corresponding cargo for the drafting of the debit or credit note provided for in Article 7 below.
Analyses. Qualtrics or Qualtrics’ Affiliates may create analyses utilizing, in part, Customer Data and information derived from Customer’s use of the Cloud Service and Consulting Services, as set forth below (“Analyses”). Analyses will anonymize and aggregate information and will be treated as Cloud Materials. Unless otherwise agreed, personal data contained in Customer Data is only used to provide the Cloud Service and Consulting Services. Analyses may be used for the following purposes:
Analyses. The Contractor shall perform any analyses deemed necessary to demonstrate compliance with Contract requirements or to substantiate the integrity of the spacecraft delivered under this Contract. All analyses shall be consistent with requirements of other applicable Contract exhibits. The Contractor may use, where relevant, results of valid and applicable analyses already performed for similar spacecraft or equipment and properly updated for this Contract. The Contractor's existing valid, and applicable computer/mathematical models and analytical/design tools used for similar spacecraft or equipment may also be used to perform the analyses defined herein.
Analyses. Better Impact and its related and affiliated entities may create analyses utilizing, utilising in part, Data and information derived from Customer’s use of the SaaS and Consulting Services, as set forth below (“Analyses”). Analyses will always anonymise and aggregate information and will be treated as Materials. Unless otherwise agreed, personal data contained in the Data is only used to provide the SaaS and Consulting Services. Analyses may be used for the following purposes:
Analyses. A. MEA shall, at its sole cost, risk, and expense, install, operate, and maintain equipment to analyze the composition of the Raw Make and of the Plant Products in accordance with applicable GPA standards.
Analyses. The process stream analytical schedule is given in Chart 4.4. Notifications are to be made according to the information shown in this chart.
Analyses. Across all three time points, participants were missing 13% of data on the Acrimony Scale. Estimation Maximisation was used to impute missing data. Descriptive statistics were used to assess progression to joint FDR, agreement within FDR, and satisfaction with FDR. Two-way repeated-measures univariate analyses of variance (ANOVAs) were performed to evaluate the short-term and medium-term effects of FDR participation and of reaching agreement in FDR on acrimony. These were performed for all parents who remained in the sample at Time 3 (n = 704) and for the ambivalent subgroup (n = 126). A Greenhouse-Xxxxxxx correction was used to interpret the ANOVAs because Xxxxxxx'x Test of Sphericity indicated that the assumption of sphericity was not met. Results A majority of participants (n = 604, or 85.8%) stated they were hoping to achieve a parenting agreement, while 159 (22.6%) wanted a property settlement (many clients attend for both parenting and property matters). A fifth (n = 126 participants, 17.9%) showed ambivalence to FDR (i.e., stated that their objectives in attending FDR included obtaining a certificate to proceed to court). Time 1, 2 & 3 assessments (126 ambivalent) 450 parents (64%) proceeded to joint FDR (73 or 58% of ambivalent parents) 254 parents (36%) did not proceed to joint FDR (53 or 42% of ambivalent parents) 299 parents (66%) reached full/ partial agreement (42 or 58% of ambivalent parents) 151 parents (34%) did not reach agreement (31 or 43% of ambivalent parents) Figure 1. Rates of participation and agreement in joint FDR for all parents (n = 704) and for ambivalent subgroup (n = 126) Participation in joint FDR Of the 704 parents who remained in the sample at Time 3, 450 (63.9%) participated in joint FDR. Just over half of these (n = 237; 52.7%) attended two or more joint sessions, and just under half (n = 213; 47.3%) attended only one joint session (mean joint sessions attended = 1.31, SD = 1.52, range 1–11). In the ambivalent subgroup, 73 parents (57.9%) had participated in joint FDR. Of these, a higher proportion attended only one joint session (n = 40; 54.8%), while fewer than half (n = 33; 45.2%) attended two or more joint sessions (mean joint sessions attended = 1.96, SD = 1.69, range 1–11.
Analyses. HRMANTRA or its Affiliates may create analyses utilizing, in part, Customer Data and information derived from Customer’s use of the Cloud Service and Services. Analyses will anonymize and aggregate information, and will be treated as Cloud Materials. Examples of how analyses may be used include: optimizing resources and support; research and development; automated processes that enable continuous improvement, performance optimization and development of new HRMANTRA products and services; verification of security and data integrity; internal demand planning; and data products such as industry trends and developments, indices and anonymous benchmarking.
Analyses. SAP, SAP SE or SAP Affiliates may create analyses utilizing, in part, Customer Data and information derived from Customer’s use of the Cloud Service and Consulting Services. Analyses will anonymize and aggregate information, and are the proprietary, confidential and wholly-owned materials of SAP. Examples of how analyses may be used include: optimizing resources and support; research and development; automated processes that enable continuous improvement, performance optimization and development of new SAP products and services; verification of security and data integrity; internal demand planning; and data products such as industry trends and developments, indices and anonymous benchmarking.
