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Though we have investigated a homogenous system, we argue that the insights here can also be applied to the estimation of effective transport parameters for heterogeneous systems.
To stabilize the banking system we argue that his proposal for 100percentt reserve banking merits serious consideration in current policy discussions.
Framing the supply chain as a complex adaptive system, we argue that, in supply chain contexts, both the degree of interdependence (i.e., the average number of interactions among the supply chain firms) and the overall interdependence pattern (which maps with who each supply chain firm interacts) moderate the relationship between trust and supply chain performance.
While TMS alone is able to up- (or down-) regulate a targeted neural system, we argue that TMS applied as an adjuvant is more effective for repetitive physical, behavioral and cognitive therapies, that is, therapies which are designed to alter the network properties of neural systems through Hebbian learning.
In the following, based on the institutional arrangement of "departmental and regional segregation (tiao kuai fenge)" of the Chinese governance system, we argue that industry and region form a dual segmentation of the labor market, together constituting the basic structure of income determination in China.
Since it is not clear which particular cues introduced by the emission subsystem are still salient when analyzing the spatial sensitivity of the complete sonar system, we argue that in the case of C. perspicillata the specific contribution of the emission radiation pattern to the overall spatial sensitivity remains as yet unknown.
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On the basis of a review of existing observational systems, we argue that a new integrated monitoring capability for water security purposes is urgently needed.
After the thorough investigation of the state of the art in Office assessment systems, we argue that most of the examined systems implement the VBA technology, obviously, due to its inherent capability to build and communicate with Microsoft Office applications.
Although these rich, carefully developed studies have much to offer in terms of understanding educational systems, we argue that the conditions for making strong causal inferences are rarely met.
Meanwhile, less and less gets accomplished in our increasingly devolved and degrading sociopolitical and economic systems: we argue about "school choice," for instance, but gridlock prevents either side of the debate from ever getting their way, anyhow.
Considering the system dynamics, the cost of the algorithm design, and the system overhead, we argue that it is not worth putting too much energy on the design of complex rating aggregation schemes for trust inference in open computing environments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com