Sentence examples for expenditure classifications from inspiring English sources

Exact(1)

The SenseWear Professional 7.0 (Pittsburgh, PA) software provided proprietary estimations of "on-body time" (used to determine wear time), activity and energy expenditure classifications of wake periods, and sleep estimations [ 26, 27].

Similar(59)

Despite the fact that the necessarily adaptive nature of GF grant implementation in pursuit of "country ownership" can make real-time expenditure analysis and classification challenging, this is not a reason to avoid doing it.

Spending projections were calculated through a set of costing sheets in Excel to match the needs of the sector in terms of relevant cost components, classification of expenditure, and the structure and content of existing information, such as the government salary levels classification.

Furthermore, classification and expenditure recording differ by institutes.

The initial aim was to collect expenditure information using a functional classification that included salaries and remuneration, non-salary administrative activities, program activities, civil works, drugs, and equipment separately for the district health office, health centers, and hospitals.

The general case-mix model is not applicable for establishing expenditure goals for paediatrics, as the CRG classification system is not valid for isolated patients of under 14 years of age.

Among one-shop spending behaviors the analysis captures a further classification in with respect to the expenditure amount: normal spending behavior less than €50, high spending behavior with a typical expenditure between €50 and €100, and higher spending behavior with an expenditure higher than €100.

This is similar to reports of a Mauritania study [15] where it was reported that "the rate of classification between using the index and household expenditure to identify the poor is relatively high.

Furthermore, data refining may lessen the weight of random factors in predicting expenditure, although it is known that no system of classification of patients into RUB explains all the variation in the use of resources.

Overall, accelerometry-based wearable motion detectors have been used for classification of posture and movement, estimation of energy expenditure, fall detection, and balance control evaluation [ 10] but cannot provide information regarding turning ability in bed.

This guideline contains seven characteristics: objectives and scope of manual, needs for the measurement of innovation, basic definitions, TPP innovation activities, institutional classification, measuring aspects of the innovation process, measuring the expenditure on innovation, and survey procedures [17].

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