Data integration and visualization techniques for  post‐cytometric analysis of complex datasets

2021 ◽  
Author(s):  
Fanny Hedin ◽  
Maria Konstantinou ◽  
Antonio Cosma
Keyword(s):  
Data Integration ◽  
Visualization Techniques ◽  
Complex Datasets

scholarly journals Differences among Unique Nanoparticle Protein Corona Constructs: A Case Study Using Data Analytics and Multi-Variant Visualization to Describe Physicochemical Characteristics

2018 ◽  
Vol 8 (12) ◽  
pp. 2669 ◽  
Author(s):  
Madison Stewart ◽  
Marina Mulenos ◽  
London Steele ◽  
Christie Sayes
Keyword(s):  
Protein Interactions ◽  
Data Analytics ◽  
Data Transfer ◽  
Three Dimensional ◽  
Protein Corona ◽  
Active Pharmaceutical Ingredient ◽  
Physicochemical Characteristics ◽  
Using Data ◽  
Visualization Techniques ◽  
Complex Datasets

Gold nanoparticles (AuNPs) used in pharmaceutical treatments have been shown to effectively deliver a payload, such as an active pharmaceutical ingredient or image contrast agent, to targeted tissues in need of therapy or diagnostics while minimizing exposure, availability, and accumulation to surrounding biological compartments. Data sets collected in this field of study include some toxico- and pharmacodynamic properties (e.g., distribution and metabolism) but many studies lack information about adsorption of biological molecules or absorption into cells. When nanoparticles are suspended in blood serum, a protein corona cloud forms around its surface. The extent of the applications and implications of this formed cloud are unknown. Some researchers have speculated that the successful use of nanoparticles in pharmaceutical treatments relies on a comprehensive understanding of the protein corona composition. The work presented in this paper uses a suite of data analytics and multi-variant visualization techniques to elucidate particle-to-protein interactions at the molecular level. Through mass spectrometry analyses, corona proteins were identified through large and complex datasets. With such high-output analyses, complex datasets pose a challenge when visualizing and communicating nanoparticle-protein interactions. Thus, the creation of a streamlined visualization method is necessary. A series of user-friendly data informatics techniques were used to demonstrate the data flow of protein corona characteristics. Multi-variant heat maps, pie charts, tables, and three-dimensional regression analyses were used to improve results interpretation, facilitate an iterative data transfer process, and emphasize features of the nanoparticle-protein corona system that might be controllable. Data informatics successfully highlights the differences between protein corona compositions and how they relate to nanoparticle surface charge.

Predicting spatial activity patterns in a neural map from a probabilistic atlas of 3-D reconstructed neurons

1995 ◽  
Vol 53 ◽  
pp. 812-813
Author(s):  
G. Jacobs ◽  
F. Theunissen
Keyword(s):  
Activity Patterns ◽  
Three Dimensional ◽  
Sensory System ◽  
Neural System ◽  
Probabilistic Atlas ◽  
Uniform Sample ◽  
Dimensional Reconstruction ◽  
The Time Domain ◽  
And Function ◽  
Visualization Techniques

In order to understand how the algorithms underlying neural computation are implemented within any neural system, it is necessary to understand details of the anatomy, physiology and global organization of the neurons from which the system is constructed. Information is represented in neural systems by patterns of activity that vary in both their spatial extent and in the time domain. One of the great challenges to microscopists is to devise methods for imaging these patterns of activity and to correlate them with the underlying neuroanatomy and physiology. We have addressed this problem by using a combination of three dimensional reconstruction techniques, quantitative analysis and computer visualization techniques to build a probabilistic atlas of a neural map in an insect sensory system. The principal goal of this study was to derive a quantitative representation of the map, based on a uniform sample of afferents that was of sufficient size to allow statistically meaningful analyses of the relationships between structure and function.

Big Data using KV-Store Databases

2017 ◽  
Vol 7 (12) ◽  
pp. 104
Author(s):  
Harshal Shastri ◽  
Vatika Sharma ◽  
Vinitkumar Gupta
Keyword(s):  
Big Data ◽  
Complex Datasets

Big Data is a collection of datasets which are large and complex. Datasets can be structured or unstructured which gets input from various sources. KV-Store is a database in which data will be stored in key and value where each data have different key and value.  With the help of KV(key-value) database we can support multiple CRUD operations at a time.

The influence of intention implementation on throw effectiveness of young basketball players

2014 ◽  
Vol 6 (4) ◽  
Author(s):  
Dominika Wilczynska ◽  
Patrycja Lipinska ◽  
Malgorzata Wolujewicz-Czerlonko
Keyword(s):  
Heart Rate ◽  
Test Results ◽  
Basketball Players ◽  
Physical Effort ◽  
Male And Female ◽  
Mental Preparation ◽  
Physiological Cost ◽  
State Orientation ◽  
Efficiency Test ◽  
Visualization Techniques

AbstractBackground: The purpose of the following research was to find out the influence of imaginary training based on intention implementation on throw effectiveness of young basketball players, both male and female in stressogenic situations. Individual differences (action vs state orientation) between players were also measured in this research.Material/Methods: 76 players (32 females and 44 males) in the cadet category (15-16 years old) from basketball clubs of Gdansk, Gdynia and Sopot took part in this research. In the first stage all players did a throw efficiency test ERPE 05 under two conditions, and their heart rate was measured. Then players were randomly assigned to one of two groups. The first one did imaginary training based on the influence of intention implementation for 10 days, while the other did not. After 10 days ERPE 05 test under two conditions was run again.Results: Test results showed that intention implementation does not influence effectiveness improvement in stressogenic conditions as far as state-oriented players are concerned, but it does lower the physiological cost of physical effort in form of a decreased heart rate.Conclusions: This research proves that visualization training based on implementation instructions does influence young players’ physiology and significantly lowers their heart rate under stressogenic conditions. However useful, visualization techniques used in this research still need other tests and should be applied for a longer period of time to acutely show how they affect young players’ mental preparation

Safe development of business and national economy in the face of a pandemic and global recession

2020 ◽  
Vol 16 (6) ◽  
pp. 1182-1198
Author(s):  
I.V. Vyakina
Keyword(s):  
Economic Security ◽  
Global Recession ◽  
Graphical Visualization ◽  
National Economic ◽  
Business Support ◽  
The Face ◽  
The Russian Federation ◽  
Business Entities ◽  
Visualization Techniques ◽  
The Impact

Subject. This article deals with the issues related to the national economic security of the State in today's conditions. Objectives. The article aims to develop a set of special measures for additional business support to reduce the impact of restrictions imposed against the background of quarantine and the pandemic spread, and which would help prevent collapse of business entities. Methods. For the study, I used the methods of theoretical, systems, logical, and comparative analyses, and tabular and graphical visualization techniques. Results. The article proposes possible measures to support business aimed at reducing the costs of business entities due to the restrictions caused by the pandemic, that complement and explain the activities proposed by the President and Government of the Russian Federation, taking into account the regional and municipal levels. Conclusions. The uncertain current situation requires constant adjustment and adaptation of public policy in accordance with specific circumstances. Ensuring the country's economic security and sustainability associates with creation of a business organization system that connects public administration tools and business support and development opportunities under the changed environment.

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