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Body-bar frameworks provide a special class of frameworks which are well understood generically, with a full combinatorial theory for rigidity.
In conceptually related work, Carné-Sánchez et al. employed a spray-drying method to produce sub-5 µm hollow, spherical nanoscale MOFs, part of the class of frameworks known as nanoMOFs.
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Using the method we design inference procedures to compute the credulous semantics, the ideal semantics and the grounded semantics for a general class of PABA frameworks, that we refer to as Bayesian PABA frameworks.
Recent progress in high-energy metal organic frameworks (HE-MOFs), not only a burgeoning branch of growing interest in energetic materials but also a particular class of metal organic frameworks (MOFs), is covered in this review.
The most appropriate class of modeling frameworks for this approach would be connectionist models and interactive activation models.
In this section, by using Theorems 2.4 and 2.5 and Theorem 3.3, we study a new class of GNOVI frameworks in positive Hilbert spaces.
In this work, we successfully developed a class of novel frameworks containing a urea in the recognition site and a carboxylate anion in the guest unit.
In this paper we report a new class of molecular framework combining the pharmacophoric features of DPP4 inhibitors with those of ACE inhibitors to afford potent dual inhibitors of DPP4 and ACE.
The third class contains proposals of frameworks to develop and operate applications.
We show that these new derivations are superior with respect to standard dispute derivations in that they are complete in general, rather than solely for restricted classes of ABA frameworks.
Autoencoders, a class of deep learning frameworks, have been reviewed in this study.
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