We can compute total production of all individual sectors as a function of final demand and the magnitudes of the input coefficients following Eq. 3. The impact of a sector i on aggregate output is evaluated as the change in output of sectors needed to compensate a change in final demand of sector i.
Spatial variance σ 2 = σ x 2 + σ y 2 of three sectors as a function of (B ) time and (C ) number of offspring (fluorescent bacteria per sector).
Total output of a sector is expressed as a function of the demand for the different commodities produced in the economy and is defined in vector form as follows: mathbf{x = Z1+d} (1).
From the conceptual demand model derived from utility maximizing behavior on the part of consumers, the quantities demanded (q i 's) for (n- 1) foods and a nonfood sector can be expressed as a function of prices (p i 's) and per capita income (m): q i = f i p 1, p 2,..., p n, m i = 1, 2,..., n (2).
For the pathloss, the 3GPP Long Term Evolution (LTE) pathloss model has been used: (20). is the corresponding log-normal coefficient which models large-scale fading (shadowing),, and is the complex Gaussian coefficient which models small-scale fading,. is the sector antenna power gain as a function of the angle in degrees, also following the LTE evaluation parameters: (21).
We quantify the probability of MMHg production potential (MPP) associated with hydrology in each sector of the river system as a function of the spatial patterns of overbank inundation and drainage, which affect long-term redox history of contaminated sediments.
Despite several cross-cutting similarities, these key-informant narratives of poverty, under-resourced housing service sectors, and stigma differed markedly as a function of gender, ethnicity and other points of intersection.
But the bloated public sector is also a function of history.
The performance of each strategy as a function of location, sectoring, and frequency reuse are compared with localized base station coordination.
Qualitative consideration of rating differences as a function of the service sector (hospital vs community) and setting (large urban vs town/small city) revealed minimal differences for both women (difference of ±0.1) and men (difference ±0.3).
