Seismic post-stack inversion is one of the best techniques for effective reservoir characterization.This study intends to articulate the application of Model-Based Inversion (MBI) and Probabilistic Neural Networks (PNN) for the identification of reservoir properties i.e.porosity estimation.MBI technique is applied to observe the low impedance zone
Abstract Background MicroRNAs indirectly orchestrate myriads of essential biological processes.A wide diversity of miRNAs of the neurodevelopmental importance characterizes the brain tissue, which, however, exhibits region-specific miRNA profile differences.One of the most conservative regions of the brain is periaqueductal grey (PAG) playing vital
Antibodies are the fastest-growing segment of the biologics market.The success of antibody-based drugs resides in their exquisite specificity, high potency, dodge warlord for sale stability, solubility, safety and relatively inexpensive manufacturing process in comparison with other biologics.We outline here the structural studies and fundamental p
Natural Language Processing (NLP) is an click here efficient method for enhancing educational outcomes.In educational settings, implementing NLP entails starting the learning process through natural acquisition.English teaching and learning have received increased attention from the relevant education departments as an integral aspect of the new cu
BackgroundThe neuroplasticity hypothesis of major depressive disorder proposes that a dysfunction of synaptic plasticity represents a basic pathomechanism of the disorder.Animal models of depression indicate enhanced plasticity in a ventral emotional network, comprising the amygdala.Here, we investigated fear extinction learning as a non-invasive p