Normalization Sample Clauses

Normalization. The pricing adjustments set forth in Sections 3 and 4 of this Exhibit F may require comparison between pricing methodologies for dial-up access (e.g., between hourly and monthly pricing). In order to normalize differing pricing methods for such comparison, the then-current Average Daily Simultaneous Access Usage multiplied by 30.44 (number of days in a month) will be deemed equivalent to one (1) port provided for any month under the Agreement. "AVERAGE DAILY SIMULTANEOUS ACCESS USAGE" will mean the average number of hours of usage per port per day measured over the twelve-month period ending on the immediately preceding September 30.

Normalization. For the purpose of determining Operating Expenses for any partial year, Operating Expenses shall be deemed to accrue uniformly during the entire calendar year. If any part of the Building or (with respect to those Operating Expenses for which Tenant’s Share is determined by the Rentable Area of the Property) other rentable areas of the Property is not fully leased during a calendar year, Operating Expenses shall be adjusted to add amounts and items of Operating Expenses which would normally have been incurred if the Building or other rentable areas of the Property (as applicable) had been fully leased during such calendar year and Tenant’s Share of Operating Expenses (both for the purposes of the initial estimate and year-end reconciliation) shall be based on an assumed full occupancy of the Building or the Property (as applicable).

Normalization. The terms set forth in Section 11 may require comparison of [****] pricing methodologies. In order to convert pricing associated with one of such methodologies to pricing associated with the other methodology (and vice versa), the then-current Average Daily Port Usage multiplied by [****] will be deemed to be equivalent to one (1) port provided for [****] under the Agreement.

Normalization. The Participant’s Account balance determined under paragraph (a) is normalized into a single-sum benefit that is immediately and unconditionally payable to the Employee. A standard interest rate, and a straight life annuity factor that is based on the same or a different standard interest rate and on a standard mortality table, must be used in normalizing this benefit. In addition, no mortality may be assumed prior to the Employee’s testing age.

Normalization. For the purpose of determining Operating Expenses for any partial year, Operating Expenses shall be deemed to accrue uniformly during the entire calendar year. If any part of the Buildings is not fully occupied and leased during a calendar year, Operating Expenses shall be adjusted to add amounts and items of Operating Expenses which would normally have been incurred if the Buildings had been fully occupied during such calendar year and Tenant’s Share of Operating Expenses (both for the purposes of the initial estimate and year-end reconciliation) shall be based on an assumed full occupancy of the Buildings.

Normalization. If any part of the Project is not fully occupied and used during any twelve (12) month period preceding a December 31, the calculations of Operating Expenses, both estimated and actual, shall be adjusted by adding amounts and items of Operating Expenses which would normally have been incurred if the Project had been fully occupied and used during such period, and by deducting any abnormal start-up or other costs incurred, all as estimated by Landlord; PROVIDED, HOWEVER, for this Section 3.02 (d), ground rent increases, insurance and real property taxes shall be excluded in the calculation of Operating Expenses for normalization.

Normalization. Using R, this project undertook the nontrivial task of exploring and developing different approaches for normalizing levels of RNA expression across multiple time points among all genes. With all RNA expression data standardized to a specific scale, the magnitude of changes in gene expression could be more accurately compared so that the subsequent clustering produced more meaningful results. Normalization was accomplished using the same methodology as that implemented in the counts function in DE-Seq (Xxxxxx and Xxxxx 2010). Each time point was first transformed by the natural log. All zeros were ignored in order to avoid returning infinity. The geometric mean of each time point was then calculated and each value in the time point is multiplied by that geometric mean and that product put into a separate column. The median of all gene expression levels multiplied by the geometric mean is then determined, and the actual expression levels in that time point are multiplied by the median of the geometric means. After each time point is adjusted in such a manner, the entire data set has been normalized.

Normalization. Normalization of the data was an essential task to enable like-for-like comparisons. Due to differences in contracts between participants, reporting of raw volume and price data would be improper for comparing participant operations. For data comparability to exist, it is necessary that the raw data be appropriately adjusted to account for differences in both contractual arrangements between participants and their suppliers and objective factors such as exchange rates. Quantifiable adjustment factors were applied to the raw data: • Location cost index (place all costs in the same market location using a cost index) • Exchange rates (presentation in the same currency) • Geographic diversity (the relative spread of services between central, local and remote locations) • Offshore component (% of labour provided offshore) • Pension (treatment of benefit payments) • Scope (composition of HW and labour) • Scale (number of servers) • Service levels (availability, time to respond, etc.) • Unionization (% of unionized workforce) • Workweek duration (35 hours versus 40 hour workweek) Each of these adjustments is discussed below in more detail to provide their context and definitions were applicable: • Cost Index 4 o There are differences in relative costs of doing business in each of the participant cities; the Client’s city was set at 100 and using established comparative cost index appropriate adjustments were made to all other locations. The KPMG survey is explicitly a measure of the “relative costs of doing business” for each service, which is distinct from a price index such as CPI. • Exchange Rates5 o Any data from U.S. participants was converted using a factor of $1 CDN equals $0.8065 US based on 2005 Q2 Corporate Exchange Rates as published by PA's Corporate Tax and Treasury department • Geographic Diversity 6 4 KPMG Alternative Study 2004, Industry: software design, Operation: advanced software; this cost index was normalized to 100 for Toronto.

Normalization. Report meter consumption data normalized by square footage, weather, occupancy, and other pertinent variables (e.g., per student trained, per widget produced, per soldier deployed, etc., as related to the mission of the facility/installation).

Normalization. If in any year Operating Expenses are reduced because the Building is not fully occupied, Operating Expenses, both estimated and actual shall be adjusted, for the purpose of calculations under this Article, by adding amounts and items of expenses which would normally have been incurred if the Building had been fully occupied during the whole of such year and deducting any abnormal start-up costs, all as estimated by the Landlord.