With the advent of large-scale protein interaction studies, there is much debate about data quality.Can different noise levels in the measurements be assessed by analyzing network structure? Because proteomic regulation is inherently co-operative, modular and redundant, it is inherently compressible when represented as a network.Here we propose tha
Enhanced Photocatalytic CO2 Reduction to CH4 Using Novel Ternary Photocatalyst RGO/Au-TNTAs
Photocatalytic CO2 reduction into hydrocarbon fuels is one of the most efficient processes since it serves as a renewable energy source while also lowering atmospheric CO2 levels.The development of appropriate materials and technology to attain greater yield in CO2 photoreduction is one of the key issues facing the 21st century.This study successfu
National Exposed Sediment Search and Inventory (NESSI): Utilizing Satellite Imagery and Machine Learning to Identify Dredged Sediment Placement Site Recovery
Anthropogenic activity leads to changes in sediment dynamics, creating imbalances in sediment distributions across the landscape.These imbalances can be variable within a littoral system, with adjacent areas experiencing sediment starvation and excess sediment.Historically, sediments were viewed as an inconvenient biproduct destined for disposal; h