Interaction mechanism of double bubbles in hydrodynamic cavitation

2013 ◽  
Vol 22 (3) ◽  
pp. 242-249 ◽  
Author(s):  
Fengchao Li ◽  
Jun Cai ◽  
Xiulan Huai ◽  
Bin Liu
Keyword(s):  
Interaction Mechanism ◽  
Hydrodynamic Cavitation ◽  
Double Bubbles

scholarly journals Treatment of fish processing industry wastewater using hydrodynamic cavitational reactor with biodegradability improvement

2019 ◽  
Vol 80 (12) ◽  
pp. 2310-2319 ◽  
Author(s):  
Prashant Dhanke ◽  
Sameer Wagh ◽  
Abhijeet Patil
Keyword(s):  
Organic Matter ◽  
New Technology ◽  
Oxygen Demand ◽  
Operating Conditions ◽  
Hydrodynamic Cavitation ◽  
Inlet Pressure ◽  
Fish Processing ◽  
Processing Industry ◽  
Cavitation Effect ◽  
Processing Plants

Abstract Water generated from the fish processing industry is contaminated with organic matter. This organic matter present in wastewater increases the biochemical oxygen demand (BOD) and chemical oxygen demand (COD). A new technology, hydrodynamic cavitation (HC) is used to deal with this wastewater produced in fish processing plants. The orifice plate is used in the HC reactor to generate a cavitation effect. The intensification of this technique was carried out with the help of hydrogen peroxide (H2O2) and TiO2. The treatment of this wastewater is reported in terms of percent degradation in BOD and COD and in biodegradability index (BI). Operating parameters like inlet pressure, pH, operating temperature and H2O2 doses were used to find the optimum condition. 15 g/L of H2O2 gave 69.5% reduction of COD in the 120 min of treatment that also increases BI value to 0.93 at inlet pressure 8 bar, Plate-5, temperature (30 °C), and pH 4. In the ultrasonic cavitation (UC) reactor, COD reduction is 68.7% without TiO2 and with TiO2 it is 71.2%. Also, this HC and UC reactor reduced CFU count to a great extent at the same operating conditions.

scholarly journals Interaction mechanism of aloe-emodin with trypsin: molecular structure–affinity relationship and effect on biological activities

RSC Advances ◽  
2020 ◽  
Vol 10 (35) ◽  
pp. 20862-20871
Author(s):  
Guoyan Ren ◽  
He Sun ◽  
Gen Li ◽  
Jinling Fan ◽  
Lin Du ◽  
...  
Keyword(s):  
Molecular Structure ◽  
Biological Activity ◽  
Biological Activities ◽  
Interaction Mechanism ◽  
Mechanism Of Interaction ◽  
Development And Utilization ◽  
Aloe Emodin

The mechanism of interaction between AE and trypsin was studied firstly. The biological activity of both decreased after the interaction. These results provide a basis for the development and utilization of AE.

scholarly journals Modulation of Macrophages M1/M2 Polarization Using Carbohydrate-Functionalized Polymeric Nanoparticles

Polymers ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 88
Author(s):  
Raquel G. D. Andrade ◽  
Bruno Reis ◽  
Benjamin Costas ◽  
Sofia A. Costa Lima ◽  
Salette Reis
Keyword(s):  
Inflammatory Responses ◽  
Polymeric Nanoparticles ◽  
Interaction Mechanism ◽  
Mannose Receptor ◽  
The Body ◽  
Receptor Expression ◽  
Production Methods ◽  
Polymeric Nanocarriers ◽  
Efficient Delivery

Exploiting surface endocytosis receptors using carbohydrate-conjugated nanocarriers brings outstanding approaches to an efficient delivery towards a specific target. Macrophages are cells of innate immunity found throughout the body. Plasticity of macrophages is evidenced by alterations in phenotypic polarization in response to stimuli, and is associated with changes in effector molecules, receptor expression, and cytokine profile. M1-polarized macrophages are involved in pro-inflammatory responses while M2 macrophages are capable of anti-inflammatory response and tissue repair. Modulation of macrophages’ activation state is an effective approach for several disease therapies, mediated by carbohydrate-coated nanocarriers. In this review, polymeric nanocarriers targeting macrophages are described in terms of production methods and conjugation strategies, highlighting the role of mannose receptor in the polarization of macrophages, and targeting approaches for infectious diseases, cancer immunotherapy, and prevention. Translation of this nanomedicine approach still requires further elucidation of the interaction mechanism between nanocarriers and macrophages towards clinical applications.

Graphene-based materials for adsorptive removal of pollutants from water and underlying interaction mechanism

2021 ◽  
Vol 289 ◽  
pp. 102360
Author(s):  
Jingyi Wang ◽  
Jiawen Zhang ◽  
Linbo Han ◽  
Jianmei Wang ◽  
Liping Zhu ◽  
...  
Keyword(s):  
Interaction Mechanism ◽  
Adsorptive Removal

Time-Efficient Ensemble Learning with Sample Exchange for Edge Computing

2021 ◽  
Vol 21 (3) ◽  
pp. 1-17
Author(s):  
Wu Chen ◽  
Yong Yu ◽  
Keke Gai ◽  
Jiamou Liu ◽  
Kim-Kwang Raymond Choo
Keyword(s):  
Ensemble Learning ◽  
Real World ◽  
Interaction Mechanism ◽  
Training Model ◽  
Edge Computing ◽  
Learning Techniques ◽  
Multi Agent ◽  
Real World Datasets ◽  
Entire Dataset ◽  
Exchange Data

In existing ensemble learning algorithms (e.g., random forest), each base learner’s model needs the entire dataset for sampling and training. However, this may not be practical in many real-world applications, and it incurs additional computational costs. To achieve better efficiency, we propose a decentralized framework: Multi-Agent Ensemble. The framework leverages edge computing to facilitate ensemble learning techniques by focusing on the balancing of access restrictions (small sub-dataset) and accuracy enhancement. Specifically, network edge nodes (learners) are utilized to model classifications and predictions in our framework. Data is then distributed to multiple base learners who exchange data via an interaction mechanism to achieve improved prediction. The proposed approach relies on a training model rather than conventional centralized learning. Findings from the experimental evaluations using 20 real-world datasets suggest that Multi-Agent Ensemble outperforms other ensemble approaches in terms of accuracy even though the base learners require fewer samples (i.e., significant reduction in computation costs).

scholarly journals Spatial Distribution and Land Use of Traditional Villages in Southwest China

2021 ◽  
Vol 13 (11) ◽  
pp. 6326
Author(s):  
Xiye Zheng ◽  
Jiahui Wu ◽  
Hongbing Deng
Keyword(s):  
Cultural Heritage ◽  
Influencing Factors ◽  
Landscape Pattern ◽  
Southwest China ◽  
Spatial Clustering ◽  
Interaction Mechanism ◽  
Cultivated Land ◽  
River Population ◽  
Local Conditions ◽  
Countermeasures And Suggestions

Traditional villages are the historical and cultural heritage of people around the world. With the increases in urbanization and industrialization, the continuation of traditional villages and the inheritance of historical and cultural heritage are facing risk. Therefore, to grasp the spatial characteristics of them and the human–nature interaction mechanism in Southwest China, we analyzed the distribution pattern of traditional villages using the ArcGIS software. Then, we further analyzed the spatial clustering characteristics, influencing factors and landscape pattern, and put forward relevant protection countermeasures and suggestions. The results revealed that traditional villages in Southwest China were clustered, being mainly distributed in areas with relatively low elevation, gentle slopes, low relative positions, nearby water sources, and convenient transportation. They can be divided into four categories due to obvious differences in influencing factors such as elevation, slope, relative position, distance to the nearest river, population density, etc. The landscape pattern of traditional villages differed among the different clusters, being mainly composed of forests, shrubs, and cultivated land. With the increase in the buffer radius, the landscape pattern of them changed significantly. The results of this study reflect that traditional villages and the natural environment are interdependent, so the protection of traditional villages should carry out measures according to local conditions.

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