Laber Labs: Day 2

Today Dr. Laber gave us a presentation detailing how data analysis can be utilized to solve real-world problems such as identifying cases of human trafficking through the analysis of emojis used on websites, finding which location is the most profitable area to place a restaurant, and logically concluding when to administer certain medicines to patients with specific conditions. Additionally, we learned about the possible benefits and repercussions of personalization and discussed probability and the relationship (or lack thereof) between correlation and causation. We also brainstormed methods through which we could relate non-numerical data such as words or emojis into basic mathematical formulas.

Here’s a picture I took of the Duke Chapel, where we ate lunch nearby. Fun Fact: The style of architecture of the Duke Chapel is Collegiate Gothic, an architecture movement prominent in the late 19th century and early 20th century that was a revival of medieval Gothic architecture!

Department of Health and Human Services- Day 2

I sat in on more Monkeypox and COVID-19 briefing calls. I also learned about the different diseases that the North Carolina Department of Health and Human Services, specifically the Public Health Division, interact with on a daily basis. Although COVID-19, and now Monkeypox, are all the news talks about, there are numerous other problems and diseases facing the NC DHHS and the larger community every day. I also talked with a few people who explained the different career paths one can pursue to join the Division of Public Health.

Lenovo, Kaeshev and Leo, Day 2

Today we finished our code from yesterday, which helped us sort, categorize, and find various trends throughout consumer feedback Lenovo received. We were able to find keywords in the reviews with our program and determine the frequency of the keywords, which were then used to analyze the review score and satisfaction regarding instances of those words to find possible correlations between the words and customer satisfaction (or dissatisfaction). Using these methods, we were able to iterate through the 1000 reviews that were given to us and find the similarities and trends between them. We presented our findings to the WEP host.

Here is a small snippet of the report of our findings of a 299 sample size:

Day 2

Day 2 was successful! I now know how to successfully navigate the route to work on my own and how to manage all the kids. I spent today really getting the know the kids, mostly their routine. For example, when it was naptime at 12:30 I slept right alongside them despite my legs hanging off the miniature mat. That was the highlight of the day, along with sharing an apple with Marc during afternoon snack. Today we were low on help so I had more responsibility and often founded myself outnumbered 7:1. I learned the significance of understanding each kid more, studying their interactions to find what toys one kid likes and what actions make another cry. Though I sometimes lag when processing German instructions, I was a big help when the kids were getting picked up and needed some corralling. The picture is from an earlier walk, where the toddlers and I were both thrilled to see many ducks!

Aziz Lab Day 2

Today was another day of experimenting with the modeling program to prepare for our independent work. This morning, we met with Dr. Aziz and Leah again to overview what we did last time. Afterwards, we played with the existing model that Dr. Aziz had been using to model competition for nutrients between the white rot fungus and any bacteria that may come through the same location.

The model uses agents that follow programmed codes in a simulated environment, with various sliders and buttons that the user can employ to change various aspects of the simulation, such as the number of nutrients or agents involved. To begin our coding, we were given a list of suggestions we could try implementing to make the model more realistic, such as including the temperature or PH of the water.

Below is an image of the model.

Work Experience Program with Lenovo- Day 2

And I’m back, coming at you with another day of Lenovo work experiences! So, I figured that today I would explain to you what exactly creating an NFT entails, as well as introduce you to Howard the NFT! (currently not for sale). Anyways, to create a picture NFT, you need the picture (which we have from yesterday), along with Ethereum “gas”, an NFT wallet, and a marketplace to sell it on.

Ethereum gas, first off, is the term given to the transaction money that you spend when creating an NFT. The cost of gas changes based upon the number of transactions currently occurring on the network at the time; essentially, it helps pay for the computing power used to process the NFT.

Now then, the wallet is where all your NFT blockchains and data are stored. You need to keep this secure- I used MetaMask for this. The market is where the NFT’s are traded- I used OpenSea, because it doesn’t cost gas to create NFT’s- only to sell them. And with all of that, here he is: Howard Orphaneater himself!

Day Two at Glas

Going into day two the mannequin bottom I had started working with was beginning to take shape. The legs of my robot would be half human and half mannequin as shown above. The metal leg was made with aluminum stock and golf clubs, it will be used as a support for both the rest of the body which will include a working television, ribs, and a box tv head.

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