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These instructions assume you have access to the Rasberry Pi's terminal, either through SSH or a keyboard/mouse/monitor setup. The Pi must also have an internet connection either through WiFi or ethernet for the initial setup. Pipe flow expert crack of internet.

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  • Our Hershey Bar wing is now ready for some flow simulation
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Now we have our X, Y and Z coordinates in three columns. We can click File>Save As and select Text (Tab Delimited) from the drop down menu. Select a location to save the file to, pick a name for your file and click Save.

The flow rate of a river measures the volume of water that passes through a specific point over time. This rate rises and falls as water from rainfall flows (https://soyoungsodesign.com/serial-code/?file=1079) in and out of the river system.

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The Raspberry Pi will disconnected from a monitor, mouse, and keyboard and powered by an external battery in final setup of this project. Therefore, its necessary for the Python script to be launched automatically without user interaction.

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The system can be deployed to remote rivers with a one-time setup, and can be left to run on its own, automatically collecting data without the need for users to be present. Multiple meters can be placed throughout a river to collect many points of data.

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Before we can start simulating however, we need to design our aerofoil. This is relatively straightforward, as there is a wealth of aerofoil coordinate data libraries online, and we can import those coordinates into SOLIDWORKS by using the Curve Through XYZ function.

On the second page (Unit System), select your preferred unit system. For consistency, we will select SI units here (m-kg-s).

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Fabrication of 3D bioprinted cardiac patches is the most promising method for cardiac tissue regeneration. Major advantages here are a complete control over the structure and design of the construct and the incorporation of multiple cell types to mimic the native tissue architecture . Various in vivo studies with different cell types have proven initially successful. Wang et al. designed 3D bioprinted cardiac patch using fibrin-based bioink on a hydrogel contract .

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Cut plots are nice, but they don’t show the holistic view of what is going on; they simply show a 2D slice of the 3D whole. The trajectory plot is more useful for showing behavior over the full length of the wing at any given time. This is more like a wind tunnel with smoke injected into the chamber, which you may be more familiar with from university.

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Again, in this plot we will be looking at Pressure, so select that from the Appearance section, and then click the green check icon. The plot will appear in the main window, as you can see below.

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In the "Rule query statement" enter the following statement: SELECT * FROM 'funnel/flowmeter'. This statement will apply this rule to all messages sent to the "funnel/flowmeter" topic.

First, we want to select the faces of the wing that we want included in the study. In the Surface Goals panel, click the blue Selection area to activate it and click all of the faces of the wing model.

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Now that our simulation is set up, we can run it. You can find the Run button in the top ribbon (as seen below). Click it and you will see the solver screen appear, informing you of how many iterations are left.

Preestablished vasculature in the cardiac patch can significantly promote the integration to the host tissues. A more recent study conducted by Zhang et al. describes a new the organ-on-a-chip model named Angiochip. The Angiochip has multilayered, interconnected, branching lumen that can be coated with ECs and perfused with culture media. The network can significantly improve oxygen and nutrient delivery within the parenchymal tissues by gravity-driven media flow (this). The smallest microchannel in the network was 100 μm by 50–100 μm, with a wall thickness of 25–50 μm, which is approximately the same size as venules. The Angiochip also has microsized holes on the side of the lumens, which allow on-demand EC sprouting and transmigration into the parenchymal space. The Angiochip is scalable to a thickness comparable to the rat ventricle wall. Because Angiochip is mechanically stable and is capable of withholding blood pressure in rat, the inlet and outlet of the Angiochip can be surgically attached to the femoral vessels on the hindlimbs of adult Lewis rats, in both artery-to-artery and artery-to-vein mode. The two different configurations of direct surgical anastomosis were demonstrated with success, which further demonstrates that the prevascularized cardiac patch can be integrated quickly into the host tissues .

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With the sensor working, the next step is to send its readings to the cloud. This is enabled by a 3G USB modem with a Soracom Global SIM card that is plugged into the Pi and Soracom's Harvest service.

The final page that we need to deal with in the wizard is the Initial and Ambient Conditions page. This is where we set the temperature and pressure of the environment and the velocity of the flow in the x-direction. We have set the temperature and pressure to SSL (standard sea level) values and the velocity in x-direction to 55m/s (about 200km/h).

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Click on "Attach existing policies directly" and type "iotdata" in search box. From the results, check the "AWSIoTDataAccess" permission. Click "Next: Tags", then "Next: Review", and "Create user" on the following pages.

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After installation, You can simply type chunkflow and it will list all the operators with help message. We keep adding new operators and will keep it update here. For the detailed usage, please checkout our Documentation.

On the second page of the Wizard, check the Tab and the Space delimiter boxes. This should separate the X and Y coordinates into two columns.

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Scalability: The system could be scaled up to many more units depending on demand. Building a mass amount of units would become easier by transitioning to an pre-fabricated circuit that contained all necessary electronics, and developing a better pipe structure that was pre-assembled.

This rate rises and falls as water from rainfall flows in and out of the river system

Now the calculations have finished, we can go into the study panel on the left and expand the Results section to show us a selection of graphs and plots. Right clicking any of these plots will allow you to insert the plot into the main window.

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Check the iterations box and ensure it is set to 100 iterations. It may be that your simulation requires less, or even more. But for now, 100 iterations is fine. This should be enough for the goals to reach convergence. More iterations will generally give a better result, but after a point, the trade-off between accuracy and time-taken simply isn’t worth it. You can run the simulation all day long and the gains to accuracy will become very modest.

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This will open the Curve File pane. Click Browse, and then locate the text file containing the cleaned up coordinate data that you exported from Excel. It will load the coordinates into the pane, as seen below.

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Currently, measuring the flow rate of remote river areas is a very hands-on process. Surveyors need to hike out to the river of interest carrying their measuring equipment, set it up, take a measurement, disassemble it, and hike back.

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Soracom Harvest allows for easy real-time visualization of the incoming data. The console displays a live graph showing updated data values as they stream in. Users can monitor how the data changes over a selected window of time.

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The ends of the full length wires should each be connect to a female jumper wire end cap so they can easily connect to the Raspberry Pi's GPIO pins. Cut 3 male-to-female jumper wires and solder the female jumper end caps to the three full length wires. Individually wrap each connection with heat shrink tubing.

Set the "Destination" as "<your_custom_endpoint>/funnel/flowmeter", substituting the custom url copied from the previous step (no quotation marks). This is the endpoint and AWS topic (funnel/flowmeter) that data will be forwarded to.

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A cardiac patch is a functioning piece of laboratory-grown heart tissue that can be used in replacing the patient's damaged one before the entire organ has been affected (Zandonella, 2003). The American Heart Association has projected that by 2030, 40% of US adults will be having cardiovascular-related problems (Lloyd-Jones et al, 2021). Scars left on the heart vessels following myocardial infarction (MI) result in the thinning of the ventricles and eventual organ failure, with only heart transplant as one single practical remedy; this puts the need for the organs way beyond the number of available would-be donors (Serpooshan et al, 2021). Growing these damaged parts (cardiac patches) in the laboratory would be a landmark in repairing, replacing, and rejuvenating diseased and aging cardiac tissues (Ehler and Jayasinghe, 2021). Electrospun nanofiber scaffolds present a vast surface area for cell attachment when living cells have to be grown and multiplied. There is thus a need for a material that can best mimic the heart vessels; one that is neither too rigid nor too elastic, capable of withstanding the stresses generated as a result of the heart's tissue performance. Coaxial electrospinning comes in handy as one of the best platforms for product optimization and the engineering of a structure similar to the native cardiac matrix (Zong et al, 2005; Lakshmanan et al, 2021). A coaxial fiber structure made by combining a poly(glycerol sebacate) core with fibrinogen (PGS/Fib) for structural support and initial entrapment was promisingly feasible in restoring an MI left ventricle (Ravichandran et al, 2021). Similarly, a synthetic PGS core provided the resulting substrate mechanical properties matching the native cardiac tissue, and the natural polymer shell was responsible for the cell adhesion and proliferation to give biocompatible scaffolds.

The next page (Default Fluid) allows us to select the fluid in our study. This is an aerodynamic study, so we select Air from the top list and click Add. Once the default fluid has been added, we can click Next.

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Being an aerodynamic simulation, we want to set goals that are relevant to this domain. So, go into the left-hand project simulation panel again, right click on Goals, and select Surface Goals. This will bring up a list of parameters that we wish to measure and visualise, and we can select the minimum, maximum and average for each goal.

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12.9.3.1 3D bioprinting cardiac patches

Now that we have two columns with separated X and Y coordinates, we are going to need to create a third column full of zeros so that SOLIDWORKS can import it. These zeros represent the Z coordinate, but as this is a two-dimensional curve, we have no need for a Z coordinate, and, hence, we set them to zero. Type “0” into the top cell in the third column, and click the little box at the bottom of the cell, or drag the box to the bottom of the data set in order to populate the third column with zeros.

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Cost: The total cost for the system is ~$120, with the largest expenses being the Raspberry Pi ($35) and the 3G Modem ($60). This price could likely brought down with bulk supplies. This total cost is reasonable when considering the man-hours saved by using this IoT device instead of paying surveyors/engineers to collect measurements manually.

The structure is now ready to be put in a river. Find a spot that allows the housing to remain above the water, and a place with a relatively flat bottom so that the structure can remain stable.

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You have now converted your aerofoil curve into a sketch entity. Now we can model our solid aerofoil.

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Attach the bracket and sensor the to vertical pipe structure and use nylon zip ties to hold the extension wire against the pipe. Place the 3D printed funnel on the mouth of the sensor.

Check out the Documentation for installation and usage. Try it out by following the tutorial.

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The electronics of the system include a Raspberry Pi, 3G USB modem with a Soracom Global SIM, and external battery, which are contained in a 3D printed housing. The sensor is connected to the Pi by water-sealed jumper wires that run the length of the vertical pipe into the housing.

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Other studies explored the influence of electrical stimulation on cardiac cells (McDonough and Glembotski, 1992; Inoue et al, 2004; Kawahara et al, 2006; Yamada et al, 2007). Electrical signals mimicking those in the native heart (rectangular pulses, 2 ms, 5 V/cm, 1 Hz) were applied by Radisic and colleagues on neonatal rat CMs seeded onto collagen constructs. After 8 days of stimulation, the cardiac cell constructs already presented functional coupling between the cells, and an amplified contraction amplitude concomitant with a significant level of ultrastructural tissue maturation as compared to non-stimulated constructs (Radisic et al, 2004a).