Indeed, more in-depth analysis of efficiency and effectiveness of transport and land use policies on SM appears quite hard to afford at the suburban scale.
Significant variations in BC2.5 were seen among stations located along each line, possibly due to the depth of the station, efficiency of ventilation, and number of trains passing through the station.
By using five individual segments sintered onto an expanded metal mesh, an accordion-fold cell (670 mAh rated capacity) was assembled and had 98.0% coulomb efficiency, 88.6% energy efficiency at 72% depth-of-discharge (DOD) and 73.2% state-of-recharge (SOR) in the 79th cycle.
This technique achieves the highest possible coding efficiency in multiview texture video compression, but it results in extremely large encoding time with small increase of depth coding efficiency which obstructs it from 3D-HEVC practical use.
For instance, Asongu et al. (2016) concluded that the effects of information-sharing bureaus have mostly been negative on financial development dynamics in terms of depth, allocation efficiency, and activity.
In addition, to test in depth the efficiency of the methods, some simulations were performed with modified scenarios involving several factors like the level of differentiation, the size or complexity of the metapopulation and the presence of Hardy-Weinberg and/or linkage disequilibrium (HWD and LD).
Key performance parameters in this case are transmittance modulation depth of 83.9%, on-state efficiency of 85.2%, and on-off extinction ratio of 18.9 dB under remarkably low control bias-voltage signals within the −4 ~ +0.9 V range.
Using rigorous electrical and optical modeling methods, we theoretically demonstrate a modulation depth of 84%, on-state efficiency 85%, and on-off extinction ratio of 19 dB at 1,550 nm wavelength under electrical control signals within a favorably low bias voltage range from −4 V to +1 V.
For the proposed model, basic functions of the relationships between loss ratio of traffic volume and precipitation; depth of AWORS and drainage efficiency; and loss ratio of traffic volume and recovery coefficient were first determined based on Chung et al. (2006), the Bernoulli equation of fluid dynamics, and the principle of Hooke's Law, respectively.
Differences among platforms would presumably be based on variations in depth of coverage and coverage efficiency rather than due to the selective exclusion of some regions by specific capture kits (for example, the exclusion of UTRs by SSCR, NX, NG).
However, time and resource limitations prevented this; instead, a qualitative design employing open-ended questioning to capture respondents' perspectives was selected to balance the goals of representativeness, depth, and efficiency [ 28].
