Message-passing parallelism is widely used in High Performance Computing (HPC), and will continue to be used in the foreseeable future. HPC applications perform complex and expensive computations that are of fundamental ...

The invasive Asian longhorned beetle (ALB), Anoplophora glabripennis (Motschulsky), is a destructive xylophagous forest pest species originating from Asia. First discovered in New York in 1996, breeding populations have ...

Microtubules (MTs) are an important cytoskeletal component involved in various cellular activities, including intracellular transport, cell motility, maintenance of cell shape and cell organization, and separation of ...

“Holy Waters” is a historical study of the Christianization of the Mississippi River Valley between 1780 and 1830. The geographic scope encompasses the swath of settlements, towns, villages, and hunting grounds along the ...

In response to global environmental concerns, an immediate need for practical, eco-friendly, and non-hazardous plastics has irrupted, yet such materials are challenging to invent. Various sustainability issues associated ...

This dissertation proposes a revised view of Emanuel de Witte's Calvinist church interior paintings as sites of spirituality that evoke the sensory experience of attending church. Calvin's objection to devotional art ...

Tetrazine ligation, the cycloaddition of s-tetrazine (Tz) with trans-cyclooctene (TCO) derivatives, is particularly attractive for the synthesis of cell-instructive hydrogel matrices. This reaction is high yielding, does ...

Background: Formula fed (FF) infants, the majority of whom are fed a standard cow milk infant formula (CMF), have greater weight gain than breast fed (BF) infants; this is of concern as accelerated weight gain in infancy ...

Mitigating atmospheric turbulence effects in long-range real-time applications such as imaging and laser beam projections requires efficient algorithms coupled with high performance platforms. Such long distance applications ...

The Convolutional Neural Networks (CNNs) architecture is one of the most widely used deep learning tools. The execution time of CNNs is dominated by the time spent on the convolution steps. Most CNNs implementations adopt ...