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This work proposes a new methodology that has the potential for addressing these drawbacks by implementing a truly volumetric approach to additive manufacturing of fiber-reinforced-like composite objects.
However, the development of PGS/based elastomeric composites containing alkaline bioactive fillers could be a method for addressing these drawbacks and thus may pave the way towards wide clinical applications.
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Consequently, new procedures that address these drawbacks are desirable.
To address these drawbacks, Edge DCs (such as Micro-DCs and Edge Cloud) have been proposed.
Herein, covalent sulfur based carbonaceous materials was investigated for RT Na-S battery to address these drawbacks.
In this report, we describe a laser-based bioprinting technique and demonstrate its ability to address these drawbacks.
This paper addresses these drawbacks by proposing three efficient approaches for mining CARs in large datasets relying on parallel computing.
In order to address these drawbacks, heat exchanger designs must be improved by optimizing its geometry and flow area asymmetrically for each fluid.
In order to address these drawbacks, formal semantics of ontologies can be employed to represent semantic descriptions of services that can be exploited for service discovery.
Because Ben-Tal's formulation leads to a non-linear model and no guarantee regarding the probability that the robust solution is feasible, it is highly desirable to develop a method that addresses these drawbacks.
To address these drawbacks, we propose an efficient, lightweight privacy-preserving data aggregation approach that makes use of symmetric homomorphic encryption and Diffie–Hellman (DH) or Elliptic Curve Diffie–Hellman (ECDH) key exchange methods.
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