Despite great progress in the identification and characterization of the key molecular players in neuronal function, remarkably little is known about their supramolecular organization. Cryo-electron tomography (cryo-ET), providing three-dimensional views of the molecular components of the cell in their native, fully hydrated environment, is uniquely positioned to elucidate the native architectu...

Current Internet applications can not take advantage of the variety of service classes offered by ATM networks. This is due to the stacking, without specific scheduling mechanisms, of a best-effort network layer on top of ATM. Simultaneously, few native ATM applications have been written specifically in this networking framework. We propose an architecture for running TCP-based applications ove...

Native mass spectrometry (MS) has become a sensitive method for structural proteomics, allowing practitioners to gain insight into protein self-assembly, including stoichiometry and three-dimensional architecture, as well as complementary thermodynamic and kinetic aspects. Although MS is typically performed in vacuum, a body of literature has described how native solution-state structure is lar...

The development of modern gene technologies allows for the expression of recombinant proteins in non-native hosts. Diversity in translational and post-translational modification pathways between species could potentially lead to discrete changes in the molecular architecture of the expressed protein and subsequent cellular function and antigenicity. Here, we show that transgenic expression of a...

With the global rollout of fifth generation (5G) networks, it is necessary to look beyond 5G and envision 6G networks. networks are expected have space-air-ground integrated advanced network virtualization, ubiquitous intelligence. This article presents an artificial intelligence (AI)-native slicing architecture for enable synergy AI slicing, thereby facilitating intelligent management supporti...

This thesis proposes a scalable architecture for multilingual speech recognition on embedded devices. In theory multiple languages can be recognized just as one language. However, current state of the art speech recognition systems are based on statistical models with many parameters. Extending such models to multiple languages requires more resources. Therefore a lot of research in the area of...

The purpose of this study is to offer a multi-disciplinary framework to examine the continuing digital participation divide and within-group use variance among millennials. We focus on millennials due to the size of their population segment. We further critically examine assumptions of homogeneous adoption of emerging Information and communication technologies (ICTs) among “digital natives.” We...

Tree Substitution Grammar rules form a large and expressive class of features capable of representing syntactic and lexical patterns that provide evidence of an author’s native language. However, this class of features can be applied to any general constituent based model of grammar and previous work has done little to explore these options, relying primarily on the common Penn Treebank annotat...