Evan Kruchowy's
Public Data Projects
Public Data Projects
Digital Neuron or dNeuron.com is a project I started with the goal of building a centralized cloud-based data science and neural network front end tool for any type data. It makes data analytics and machine learning trivial. Simply upload a single header csv or excel file with with binary, integer or float data in the rows. Choose the columns of the file you would like to train with and the columns you would like to build a network to predict. Then run the neural network builder! dNeuron provides a front end graphical user interface that explains how the neural network is built.
Many processes in nature and manufacturing are repetitive sinusoidal like functions such as heat-beats, flow in liquid dispensing machines, and daily temperatures. In this article I show a methods of extracting and analyzing sinusoidal signals for similarity, size, and characteristics using Python.
Netbor is an app I have been developing to help people meet other people nearby that have similar interests.
A fun, easy to run script with all necessary support files to try real-time object detection using OpenCV on Python.
Kinetics of both a hypothetical protein cascade and infectious population model were simulated using 1st and 0th order kinetics using MatLab’s® ODE solver, ODE(45). I also showed how varying rate constants changed simulation outcomes. Increasing rate constants toward a population increased that population while increasing rate constants away from the population decreased that population. The opposite outcome was observed for the reverse inputs. I also observed how the sensitive the model was to changes in parameters using Monte Carlo simulations.
Network analysis and engineering is an important topic in biological pathway engineering and drug target selection. Tools developed in recent years such as Cystoscape and STRING allow us to easily visualize and analyze known protein interaction networks.
In this project I will be using various tools to analyze the catalytic site of a protein, specifically the complement system serine protease Factor D (PDB code 1HFD), which I will refer to as its PDB code 1HFD. I will be showing how stabilization of the catalytic triad is accomplished through a perturbed pKa from surrounding amino acid residues. Then, I will show how one can calculate the perturbed pKa values of the triad though analytical means and using a program like MatLab®.
A critical shortage of respirators at hospitals in the beginning of the COVID-19 pandemic lead me to design and create an open source 3D printed respirator that could be easily printed and assembled for less than $50.00. The remaining non-3D-printed parts can easily be sourced from most hardware stores. The design for this can be found on my OnShape account (Link). Feel free to contact me for more information on this project and how we can help.
In this report, I model the disappearance of the Salton Sea in MatLab. I use geological topography information, government data bases, and Sketch-up for the design an input of the simulation. The code can be found at the bottom of the page.
Check out and download dozens of free CAD models from my projects at Onshape.com!
Find this propeller by clicking on this link or by copy and pasting the link below:
https://cad.onshape.com/documents/5b1917823fb1cd9c96153879/w/3bf9a137914a3365626a506e/e/d7d62c057ad784dba974adbd
This was a fun project to create functionally beautiful topology optimized shelves. Topology optimization (TP) is a form of design generation where a part's structural design is optimized for strength given specific design constraints such as loads, geometry and constant regions. The computational process of TP involves cutting out regions of a part that are the least structurally significant. This leads to functionally beautiful natural looking parts that offer high strength to weight. These shelves designed using AutoDesk Fusion 360 and fabricated using a Creality CR-10 S5 3D printer.
In this report I demonstrate how I have simulated targeted random mutagenesis over several generations of cell divisions (generations). I show how what a theoretical population of mutants would encompass. And prove that my simulation using MATLAB indeed formed random mutations. Successful simulation of mutating colony was demonstrated. For the error rate tested (Rerror= 0.001) the first mutation appears after the 7th generation of cells has been created, which is consistent with statistics. The first few generations of mutants encompasses the vast majority of the overall culture population. It was also determined the speed of the code is ~ 2N where N is the number of generations.
Molecular chaperones and protein folding factors of bacterial periplasmic space play important roles in assisting disulfide bond formation and proper protein folding. In this study, effects of disulfide bond protein (Dsb) families were investigated on assembly of 3F3 Fab, an antibody inhibitor targeting matrix metalloproteinase-14 (MMP-14).... Open to read more
The objective of this project was to design a shell-and-tube heat exchanger that meets the
heat requirement of 170,453 𝑤𝑎𝑡𝑡𝑠, and with consideration that the optimum overall heattransfer
coefficient is 285 𝑊/𝑚2⋅˚𝐶. The shell-and-tube heat exchanger is used to heat benzene by having hot water flow through a single-pass shell. A counter-current flow was used
because it is more efficient. The pressure-drop considerations of the benzene in the tubes
are fixed at a maximum velocity of 1.2 m/s.... Open to read more
Lignocellulosic biomass amounts to the most abundant source of carbon on Earth, giving it large potential and value as a renewable energy source and replacement for fossil fuels. [1] With rising oil prices, increasing energy demand, and concerns over greenhouse gas emissions, considerable focus has been placed on the conversion of cellulosic biomass to liquid transportation fuels such as ethanol. However, much of the economic and technical difficulties associated with cellulosic ethanol have to do with its inherent resistance to chemical and biological breakdown. [1] The new CELF pretreatment technology developed at the University of California, Riverside enables groundbreaking deconstruction and conversion of lignocellulosic biomass to produce high yields of fermentable sugars... Open to read more
https://cad.onshape.com/documents/19b59faab466a89fc26db6d8/w/493232ff4e487190f0c4c48d/e/b3dbfe361f14401ae7abf585
https://cad.onshape.com/documents/32269ccee7f34dc0c1f35e6d/w/a10121cb7b4684b03c0595be/e/b5785a584a5c35ddcd7ba54d