A significant part of thermal energy is lost precisely during its transportation.By increasing the efficiency of thermal insulation of pipelines, it is possible to reduce significantly heat loss around the world.The purpose of the paper is to develop and validate methods for increasing the efficiency of thermal insulation of pipelines by determinin
Introduction: Removal of silicone breast implants is a surgery with increasing notoriety.Advances in studies on BIA-ALCL lymphoma (Breast Implant Associated Anaplastic Large Cell Lymphoma) and inflammatory/autoimmune pathologies related to Skid Plate implants, such as ASIA syndrome (Autoimmune Syndrome Induced by Adjuvants), has generated discomfor
Activated hepatic stellate cells (HSCs) are the major source for alteration of extracellular matrix in fibrosis and cirrhosis.Conditioned medium (CM) collected from immortalized human hepatocytes (IHH) have earlier been shown to be responsible for apoptosis of HSCs.In this study, we have shown that antibodies raised against a peptide derived from a
Efficient approximation lies at the heart of large-scale machine learning problems.In this paper, we propose a novel, robust maximum entropy algorithm, Soundbar which is capable of dealing with hundreds of moments and allows for computationally efficient approximations.We showcase the usefulness of the proposed method, its equivalence to constraine
Gas-solid flow systems are found in many industrial applications such as catalytic reactions, pneumatic conveying, granulation, crystallisation, mineral classification, etc.The operational hydrodynamics can vary depending on the operation method from fast dilute flow, which is dominated by Play Mat collisional particle-particle contacts, to dense s