Deep learning has recently been extensively investigated to remove artifacts in low-dose computed Card Holders tomography (LDCT).However, the power of transfer learning for medical image denoising tasks has not been fully explored.In this work, we proposed a transfer learning residual convolutional neural network (TLR-CNN) to restore LDCT images at
Establishing field water balances is difficult and costly, the variability of their components being Dresses the major problem to obtain reliable results.This component variability is presented herein for a coffee crop grown in the Southern Hemisphere, on a tropical soil with 10% slope.It was observed that: rainfall has to be measured with an appro
The occlusion of intracranial aneurysms is more successful and stable by properly planning the approach and application of endovascular techniques.The next step is a relentless analysis of the different indications of endovascular 27" Convection Wall Oven treatment, tailoring a strategy suitable for the specific case, and making more rational choic
In the present research, the selective oxidation of lauryl alcohol to lauraldehyde was studied under liquid-liquid phase transfer conditions using potassium chromate (K2CrO4) as an oxidizing agent and tetrabutyl ammonium bromide (TBAB) as the phase transfer catalyst.Chromium (VI) reagents are used in these oxidations since the alcohols are selectiv
Atomic layer deposition (ALD) is known for its unparalleled control over layer thickness and 3D conformality and could be the future technique of choice to tailor the pore size of ceramic nanofiltration membranes.However, a major challenge in tuning and functionalizing a multichannel ceramic membrane is posed by its large internal pore volume, whic