The intrinsic energy minimization in dynamical systems offers a valuable tool for minimizing the objective functions of computationally challenging problems in combinatorial optimization.However, most prior works have focused on mapping such dynamics to combinatorial TRIBULUS optimization problems whose objective functions have quadratic degree [e.
This work, focuses on unstructured random data storage and query.Since the energy is one of the most pre- cious resources, an MESQ optimization problem is formed whose aim is to select the optimum number of replicas and queries that minimize the total energy cost, subject 3 Piece Power Reclining Loveseat Console to unrestrained or restrained storag
In this work, we simulate barchan swarms using the Two-Flank Agent-Based Model and investigate how changes to model parameters and environmental drivers lead to different swarm dynamics.In particular, we explore how the parameter qshift, which controls the rate of equilibration between the flanks of an asymmetric dune and thereby the stability of a
The recently developed CRISPR screen technology, PDB and Voltage Regulators based on the CRISPR/Cas9 genome editing system, enables genome-wide interrogation of gene functions in an efficient and cost-effective manner.Although many computational algorithms and web servers have been developed to design single-guide RNAs (sgRNAs) with high specificit
Persistent inflammation in end-stage renal disease (ESRD) patients is known to underlie the progression of chronic kidney disease and to be associated with multiple risk factors including malnutrition, atherosclerosis, and cardiovascular disease (CVD).The acute-phase protein pentraxin 3 (PTX3) has a proven potential as a local inflammatory biomarke