Mixed state entanglement for holographic axion model

Abstract

We study the mixed state entanglement in a holographic axion model. We find that the holographic entanglement entropy (HEE), mutual information (MI) and entanglement of purification (EoP) exhibit very distinct behaviors with system parameters. The HEE exhibits universal monotonic behavior with system parameters, while the behaviors of MI and EoP relate to the specific system parameters and configurations. We find that MI and EoP can characterize mixed state entanglement better than HEE since they are less affected by thermal effects. Specifically, the MI partly cancels out the thermal entropy contribution, while the holographic EoP is not dictated by the thermal entropy in any situation. Moreover, we argue that EoP is more suitable for describing mixed state entanglement than MI. Because the MI of large configurations are still dictated by the thermal entropy, while the EoP will never be controlled only by the thermal effects.

Nanoscale Self-Assembly for Therapeutic Delivery

“…These particles showed sustained release behavior of vaccine and enhanced cellular uptake without imparting cytotoxicity in vitro (Yuan et al, 2018). The self-assembled alginate-based nanoparticles have been used in treatment of multidrug resistant tumors (Kumar et al, 2019) and in combinational chemotherapy (Zhang et al, 2017) as stimuli responsive (redox and light responsive) nanoparticles. Bazban-Shotorbani et al (2016) synthesized alginate nanogels via microfluidics with tunable pore size and these nanogels were used for protein delivery.…”

Медикаментозное Управление Окислительно-Восстановительным Состоянием Организма При Заболеваниях Органов Дыхания (Часть 6)

“…С каждым годом увеличивается количество опубликованных результатов фармакологических и клинических исследований, в которых представлены доказательства протективного эффекта применения куркумина при бронхиальной астме, ХОБЛ, бронхолегочной дисплазии, синдроме острого повреждения легких, остром респираторном дистресссиндроме, фиброзе легкого [8,21,47,76 [9].…”

Polymeric Nano-Biomaterials for Medical Applications: Advancements in Developing and Implementation Considering Safety-By-Design Concepts

“…CarcinoPred-EL (Carcinogenicity Prediction using Ensemble Learning methods) utility has been used for accomplishing predictions concerning the carcinogenicity of investigated chemicals (Zhang et al, 2017). It is a free prediction online server that is based on twelve different molecular fingerprints and three ensemble machine learning models (Ensemble RF, Ensemble SVM, and Ensemble XGBoost) permitting the identification of the structural features related to carcinogenic effects of chemical compounds (Zhang et al, 2017).…”

“…Nonetheless, several other properties can contribute to the effects of these nano-sized delivery systems, such as chemical composition, hydrophobicity/hydrophilicity, surface charge or shape. In the literature, there is a significant amount of data relating physicochemical features of NMs with cellular interaction, biodistribution, cytotoxicity and immune system activation, as reviewed elsewhere (Fröhlich, 2012;Ma et al, 2013;Salatin et al, 2015;Hoshyar et al, 2016;Jindal, 2017;Zhang et al, 2017). Nevertheless, general conclusions indicating toxicity trends for a specific nanoparticle physicochemical property, are limited to cautious hypotheses, only verified in particular scenarios (i.e., depending on the administration route, dose metrics, etc.).…”

“…The self-assembled alginate-based nanoparticles have been used in treatment of multidrug resistant tumors and in combinational chemotherapy (Zhang et al, 2017) as stimuli responsive (redox and light responsive) nanoparticles. Bazban-Shotorbani et al (2016) synthesized alginate nanogels via microfluidics with tunable pore size and these nanogels were used for protein delivery.…”