Category: Mathematics

Using Data Analysis to Determine How to Design Refugee Architecture

Using Data Analysis to Determine How to Design Refugee Architecture

Using Data Analysis to Determine How to Design Refugee Architecture

01/08/24

“How can we use data analysis to determine how to design refugee architecture?”

Refugees have to flee from points all over the world. When we design specific projects, it’s best to model the architecture of where they’ve come from to make them feel at home. To get a better understanding of where these people come from, people can use data analysis to pinpoint the exact spots and determine what architectural forms to make. This is how people can look into Using Data Analysis to Determine How to Design Refugee Architecture.

Why Gall–Peters Projection Maps Visualize the Global South Better

Why Gall–Peters Projection Maps Visualize the Global South Better

Why Gall–Peters Projection Maps Visualize the Global South Better

09/25/23

“Why do Gall-Peters Projection Maps visualize the global south better?”

Standard Mercator projection maps undersize regions near the equator and oversize regions near the poles. This ends up privileging countries in the Global North by making them seem larger than in reality and countries in the Global South smaller. However, maps that use the Gall-Peters projection as their base preserve the area of projection, thereby displaying accurate sizes. This is Why Gall–Peters Projection Maps Visualize the Global South Better. By switching our maps to Gall-Peters projections, we can make visual representation of the word’s countries better.

Image credit wikipedia.org

Why Data Scientists Need to Understand the Context They’re Working In

Why Data Scientists Need to Understand the Context They’re Working In

Why Data Scientists Need to Understand the Context They’re Working In

04/26/23

“Why do data scientists need to understand the context they are working in?”

Data scientists are able to harness their analysis prowess to draw conclusions about large-scale phenomena. However, when the context of what they operate in is not taken into context, inaccurate results may appear that harm the community they’re working with. This is Why Data Scientists Need to Understand the Context They’re Working In.

How Hospitals Can Use Weather Prediction to Determine When to Ramp up Capacity

How Hospitals Can Use Weather Prediction to Determine When to Ramp up Capacity

How Hospitals Can Use Weather Prediction to Determine When to Ramp up Capacity

02/01/23

“How can hospitals use weather prediction to determine when they should increase capacity?”

Extreme weather events can lead to more people checking into hospitals. Whether it be dehydration from heat waves or frostbite from cold snaps, medical institutions are almost guaranteed to see more activity. Since measures to accompany this increased demand may take time to set up, hospitals can look to weather predictions to understand when they have to act.This can be combined with other information such as celebration of local holidays to make even more accurate preparations. If implemented correctly, hospitals can better channel their resources to people in need and save lives. This is How Hospitals Can Use Weather Predictions to Determine When to Ramp up Capacity.

<strong>Early Retirement of Depreciable Assets</strong>

Early Retirement of Depreciable Assets

Early Retirement of Depreciable Assets

10/25/22

“How does the early retirement of depreciable assets occur and what are its consequences?”

Depreciable assets can be retired at any time for a number of reasons. However, if assets are retired early, then the organization will subtract the asset’s original value from both the plant-in-service and depreciation reserve, resulting in a net salvage value at the end. This is why we must keep track of Early Retirement of Depreciable Assets.

Analyzing Heatwaves Using Standard Deviations

Analyzing Heatwaves Using Standard Deviations

Analyzing Heat Waves Using Standard Deviations

09/15/22

“How can we analyze heatwaves using standard deviations?”

Heatwaves can have great impacts on societies. However, their severity can vary greatly. Some only bring slightly warmer temperatures, while some shatter records like the one that (as of writing) recently happened in California. By using standard deviations from normal temperature, we can obtain a better estimate of how abnormal they are. This is why Analyzing Heatwaves Using Standard Deviations is so useful.

Why Climate Change is Making Weather Prediction Less Accurate

Why Climate Change is Making Weather Prediction Less Accurate

Why Climate Change is Making Weather Prediction Less Accurate

06/21/22

“Why is climate change making weather prediction less accurate?”

Weather prediction uses current weather patterns and historical data to infer what the temperature will be like in the near future. However, the advent of climate change is causing weather patterns to deviate from the historical average and become more chaotic, therefore hampering weather prediction efforts. This is Why Climate Change is Making Weather Prediction Less Accurate.

Computational Thermodynamics for the Solar Industry

Computational Thermodynamics for the Solar Industry

Computational Thermodynamics for the Solar Industry

06/06/22

“How can we use computational thermodynamics for the solar industry?”

Thermodynamics is critical for the functioning of solar panels. Therefore, the solar industry would greatly benefit from the use of computational thermodynamics. This is why Computational Thermodynamics for the Solar Industry would work out.

Why Making Computational Thermodynamics Research Open Source Would Improve the Field

Why Making Computational Thermodynamics Research Open Source Would Improve the Field

Why Making Computational Thermodynamics Research Open Source Would Improve the Field

06/01/22

Why would making computational thermodynamics research open source improve the field?

Computational thermodynamics is a fun and exciting research field. However, if it’s closed-source then it makes it more difficult for upstarting scientists to join in. To solve this, the projects just have to become open source. This is Why Making Computational Thermodynamics Research Open Source Would Improve the Field.