Sentence examples for makes these approaches from inspiring English sources

Attempts to correct for these contaminations can be done by along-track analysis (Maus et al. 2006a; Thébault et al. 2012) or statistically (Lesur et al. 2013), but the transient nature of these disturbances makes these approaches imperfect.

Thus, handling a larger number of parameters requires increasing the memory on each computational node which makes these approaches harder or even infeasible to scale, where the number of parameters are very large.

Progress in interventional gastroenterology makes these approaches less risky and burdensome than they used to be.

However, the lack of accessible tumor tissue, given the frequent noninvasive accurate diagnosis of HCC, and the heterogeneity of intratumoral tissue for these markers makes these approaches difficult.

In conjunction with their more invasive character, this makes these approaches less attractive, although theoretically combination with other common endovascular treatments of the renal artery (denervation or stenting) is attractive.

In sequential approaches, the incident angle is varied step by step [ 45, 46 ], which makes these approaches unsuitable for in-vivo imaging of unsteady samples, for instance the human eye.

The natural semantics of these systems and their ability to reason about default rules make these approaches quite appealing.

Consequently, making decisions on such evolving high rates of mutations in human solid tumors make these approaches fraudulent ('molecular false flags') and irresponsible as evident from the high failure rate outcomes of 'molecular target' therapies [18, 22, 36 38, 44, 65].

Most of the conventional approaches are not introduced to support the smaller number of mobile cloud users because many resources are required, making these approaches unsuccessful in real situations.

Hence, these issues make these approaches unsuitable for infrastructure-less environments, such as 802.11-based ad hoc networks, due to the resource constraint devices and distributed nature of the network [22, 25, 26].

Current state-of-the-art quantitative assessments of abnormal neuro-mechanics (e.g., spasticity, rigidity, dystonia) require sophisticated measurement systems that, together with the lengthiness of the data acquisition, make these approaches impractical for the clinical setting.