Abstract Background For optimization of microfluidic devices for the analysis blood samples, it is useful to simulate cells as elastic objects in flow plasma. In such numerical models, we primarily need take into consideration movement and behavior dominant component blood, red cells. This can be done quite precisely small channels within a short timeframe. However, larger volumes or timescales require different approaches. Instead simplifying simulation, use neural network predict Results...

The complex problem of simulating the attributes and abilities microfluidic chambers can be divided into several interconnected areas like modelling flow through various shapes, elastic models particles, interaction fluid adhesion on surface devices, estimating necessary degree accuracy utilized models, mastering realization computing-intensive simulations. In contrary to detailed results in each this specific areas, paper we are going outline overall picture our research, as well other...

We present a fully three-dimensional computational model of red blood cells and their flow in fluid. This includes all components necessary to capture important physical biological aspects the cell flow. It comprises descriptions elasticity membrane, cell-cell interactions, two-way cell-fluid interaction, adhesion surfaces. Using this model, we analyze different processes involving cells. results ongoing research concerning development for adhesion, analysis microfluidic devices with...

The elasticity of red blood cells (RBCs) plays a vital role in their efficient movement through vessels, facilitating the transportation oxygen within bloodstream. However, various diseases significantly impact RBC elasticity, making it an important parameter for diagnosing and monitoring health conditions. In this study, we propose novel approach to determine by analyzing video recordings using convolutional neural network (CNN) classification. Due scarcity available flow recordings,...

In this article we propose statistical method for comparison of simulation and real biological experiments elastic objects moving in fluid. Our work is focused on future optimization microfluidic devices used capture circulating tumor cells from blood samples. Since the design using both time consuming expensive, silico with a broad spectrum complex computationally simulations are intensely performed. Necessary verification if models, hitherto mainly realised by comparision individual...

Progress in the development of simulation tools makes it possible to conduct experiments with blood flow containing a large number solid objects, typically red cells (RBC). In our work [2] we designed and verified set statistical methods allowing either confirm or deny compliance behavior such simulations real experiments. Rotation (angular speed) RBC during their movement has proven be highly sensitive precise tool this exploration. article, compare several measuring detecting parameter its...

RBC (Red Blood Cell) membrane is a highly elastic structure, and proper modelling of this elasticity essential for biomedical applications that involve computational experiments with blood flow. In work, we present new method estimating one the key parameters red cell elasticity, which uses neural network trained on simulation outputs. We test classic LSTM (Long-Short Term Memory) architecture time series regression task, also experiment novel CNN-LSTM (Convolutional Neural Network)...

When constructing new corridor tracks, but also when reconstructing the existing ones of all categories, significant improvements and innovations occur in contruction area. Consequently, same phenomenon occurs newly installed securing, interlocking signalling equipment, generally enabling remote track control. The traffic information controlling system (hereinafter GTN) being developed by Software Technologies Department University Zilina cooperation with AZD Praha Company, represents a...

The main aim of our work is future optimization microfluidic devices used for capture rare cells, instance circulating tumour cells. Since the manufacture such and performing biological experiments are complicated time consuming, in silico preferable this purpose. But first a simulation model has to be properly verified. In article we propose statistical characteristics comparison red blood cells moving fluid. At same these allow better understanding course behaviour its individual...

In an Economic Statistics course, we were faced with the challenge of forming mathematical thinking in students often strongly negative attitudes towards mathematics. We had to contend a reduced number hours compared courses previous accreditation. For instruction, chose creation simple statistical models spreadsheet application, which could be created even without understanding how and why theory works. Theoretical justification derivation was required only best students.

The elasticity of red blood cells (RBCs) is crucial for their ability to fulfill role in the blood. Decreased RBC deformability associated with various pathological conditions. This study explores application machine learning predict RBCs using both image data and detailed physical measurements derived from simulations. We simulated behavior a microfluidic channel. simulation results provided basis generating on which we applied techniques. analyzed surface-area-to-volume ratio as an...

The elasticity of red blood cells (RBCs) is crucial for their ability to fulfill role in the blood. Decreased RBC deformability associated with various pathological conditions. This study explores application machine learning predict RBCs using both image data and detailed physical measurements derived from simulations. We simulated behavior a microfluidic channel. simulation results provided basis generating on which we applied techniques. analyzed surface-area-to-volume ratio as an...

The problems in the e-learning course market (for example their low sales compared to mobile applications) show that besides development of new technologies, it is necessary also pay attention other factors affect creation meaningful courses. These are content said courses, as well real applications related didactic and educational aims. Furthermore, has be paid administration maintenance courses training educators proper use. In this article we aim risks over-dependence on ICT technologies...

In this work, we examine the volumetric flow rate of microfluidic devices. The is a parameter which necessary to correctly set up simulation real device and check conformity laboratory experiments [1]. Instead defining at beginning as parameter, external force set. proposed hypothesis that for fixed other parameters (topology, viscosity liquid, …) linearly dependent on in typical ranges fluid velocity used our simulations. To confirm linearity find numerical limits approach, test several...

Although most of the pertinent data on sequence-directed processes leading to genome rearrangements (GRs) have come from studies somatic tissues, little is known about GRs in germ line patients with hereditary disorders. This study aims at identifying DNA motifs and higher order structures architecture, which can result losses gains genetic material line. We first identified candidate by studying 112 pathogenic germ-line colorectal cancer patients, subsequently created an algorithm, termed...

Numerical models for the flow of blood and other fluids can be used to design optimize microfluidic devices computationally thus save time resources needed production, testing, redesigning physical devices. Like biological experiments, computer simulations have their limitations. Data from both computational experiments processed by machine learning methods obtain new insights which then optimization also diagnostic purposes. In this work, we propose a method identifying red cells in...

The article deals with the problematics of generating calendar text descriptions based on their bit map. We introduce description algorithm we have designed, its basic ideas and parts. also present results testing successfulness before it is primarily used.

Simulations of the red blood cells (RBCs) flow as a movement elastic objects in fluid, are developed to optimize microfluidic devices used for sample analysis diagnostic purposes medicine. Tracking cell behaviour during simulation helps improve model and adjust its parameters. For optimization devices, it is also necessary analyse trajectories well likelihood frequency their occurrence particular device area, especially parts, where they can affect circulating tumour capture. In this...

In mathematics, as in all areas of education, computer technology, automation, and e-learning have been widely used during the past two decades. our article we will show some advantages use these technologies, but also warnings their inappropriate use, with a well-intentioned aim to make process teaching more effective. We illustrate ideas experience at several levels education.

In this article, we present our experience with teaching mathematics by method of genetic constructivism in preparation undergraduate students informatics. At bachelor level, at faculty acquaint themselves various mathematical topics relation to their core subjects - computer science. Therefore, simple concepts are demonstrated on examples taken from informatics and vice versa. They build knowledge several parallel lines different levels abstraction. Formal insight into its connection is the...

The aim of this paper is to confirm sensitivity simulation experiments on a used model the red blood cell (RBC). Different triangulations have been in experiment, which has designed accordance with real medical experiment. These consisted 374 and 141 nodes. We compared several parameters RBCs for simulations different types using statistics. were characteristics cells' velocity deformation. acquired results show certain correspondence these characteristics. Therefore, we can substitute more...