scholarly journals Optofluidic Microengine in A Dynamic Flow Environment via Self-Induced Back-Action

ACS Photonics ◽  
2020 ◽  
Vol 7 (6) ◽  
pp. 1500-1507 ◽  
Author(s):  
Yuzhi Shi ◽  
Tongtong Zhu ◽  
Kim Truc Nguyen ◽  
Yi Zhang ◽  
Sha Xiong ◽  
...  
Keyword(s):  
Dynamic Flow ◽  
Flow Environment ◽  
Back Action

Influence of dynamic flow environment on nanoparticle-protein corona: From protein patterns to uptake in cancer cells

2017 ◽  
Vol 153 ◽  
pp. 263-271 ◽  
Author(s):  
Sara Palchetti ◽  
Daniela Pozzi ◽  
Anna Laura Capriotti ◽  
Giorgia La Barbera ◽  
Riccardo Zenezini Chiozzi ◽  
...  
Keyword(s):  
Cancer Cells ◽  
Protein Corona ◽  
Dynamic Flow ◽  
Protein Patterns ◽  
Flow Environment

Dynamic Flow Simulation to Study Flow Assurance Challenges in Water Alternating Gas WAG Wells

2016 ◽  
Author(s):  
Hassan Karimi ◽  
Erni Dharma Putra ◽  
Kapil Kumar Thakur ◽  
Rahel Yusuf ◽  
Azwan Shaharun ◽  
...  
Keyword(s):  
Flow Simulation ◽  
Flow Assurance ◽  
Dynamic Flow ◽  
Water Alternating Gas

Numerical study of fluid dynamic flow within an internal combustion engine cylinder

2017 ◽  
Author(s):  
Ana Marta Souza ◽  
Antônio César Valadares de Oliveira ◽  
Enrico Temporim Ribeiro ◽  
Francisco Souza ◽  
Marcelo Colombo Chiari
Keyword(s):  
Internal Combustion Engine ◽  
Combustion Engine ◽  
Numerical Study ◽  
Fluid Dynamic ◽  
Internal Combustion ◽  
Dynamic Flow ◽  
Engine Cylinder

A dynamic-flow carbon-cycle box model and high-latitude sensitivity

Tellus B ◽  
2006 ◽  
Vol 58 (4) ◽  
Author(s):  
Emily Lane ◽  
Synte Peacock ◽  
Juan M. Restrepo
Keyword(s):  
Carbon Cycle ◽  
High Latitude ◽  
Box Model ◽  
Dynamic Flow

scholarly journals Deep learning for vision‐based fall detection system: Enhanced optical dynamic flow

2020 ◽  
Author(s):  
Sagar Chhetri ◽  
Abeer Alsadoon ◽  
Thair Al‐Dala'in ◽  
P. W. C. Prasad ◽  
Tarik A. Rashid ◽  
...  
Keyword(s):  
Deep Learning ◽  
Detection System ◽  
Fall Detection ◽  
Dynamic Flow

scholarly journals Impact of Powder Properties on the Rheological Behavior of Excipients

Pharmaceutics ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1198
Author(s):  
Pauline H. M. Janssen ◽  
Sébastien Depaifve ◽  
Aurélien Neveu ◽  
Filip Francqui ◽  
Bastiaan H. J. Dickhoff
Keyword(s):  
Flow Field ◽  
Rheological Behavior ◽  
Quality By Design ◽  
Filling Process ◽  
Dynamic Flow ◽  
Die Filling ◽  
Flow Characterization ◽  
Wide Range ◽  
Powder Properties ◽  
The Impact

With the emergence of quality by design in the pharmaceutical industry, it becomes imperative to gain a deeper mechanistic understanding of factors impacting the flow of a formulation into tableting dies. Many flow characterization techniques are present, but so far only a few have shown to mimic the die filling process successfully. One of the challenges in mimicking the die filling process is the impact of rheological powder behavior as a result of differences in flow field in the feeding frame. In the current study, the rheological behavior was investigated for a wide range of excipients with a wide range of material properties. A new parameter for rheological behavior was introduced, which is a measure for the change in dynamic cohesive index upon changes in flow field. Particle size distribution was identified as a main contributing factor to the rheological behavior of powders. The presence of fines between larger particles turned out to reduce the rheological index, which the authors explain by improved particle separation at more dynamic flow fields. This study also revealed that obtained insights on rheological behavior can be used to optimize agitator settings in a tableting machine.

scholarly journals Quantum Euler Relation for Local Measurements

Entropy ◽  
2021 ◽  
Vol 23 (7) ◽  
pp. 889
Author(s):  
Akram Touil ◽  
Kevin Weber ◽  
Sebastian Deffner
Keyword(s):  
Quantum Systems ◽  
Quantum Measurements ◽  
Weak Coupling Regime ◽  
Local Quantum ◽  
Dissipation Model ◽  
Local Measurements ◽  
Euler Relation ◽  
Quantum Analog ◽  
Back Action ◽  
Classical Thermodynamics

In classical thermodynamics the Euler relation is an expression for the internal energy as a sum of the products of canonical pairs of extensive and intensive variables. For quantum systems the situation is more intricate, since one has to account for the effects of the measurement back action. To this end, we derive a quantum analog of the Euler relation, which is governed by the information retrieved by local quantum measurements. The validity of the relation is demonstrated for the collective dissipation model, where we find that thermodynamic behavior is exhibited in the weak-coupling regime.

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