New Strength Gains From Bar Speed & Acceleration
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I’ll warn you right off the bat, this article gets pretty conceptual, but sometimes it helps to look at things from a new perspective. When we test our strength gains by maxing out in the gym what we are essentially… Continue Reading →
One commonly known tendency of humans is that we are often more afraid of loss than we are motivated by the possibility of gain. While this feature of humans often works in our favor, there are many times when it… Continue Reading →
Predicting Sunsets with Machine Learning
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This is the machine learning python program that I created to model sunsets and tweet a daily sunset prediction based on the current weather metrics. The following three functions are to collect location and contact info for first time users…. Continue Reading →
Scraping Google Trends With Python
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If you’ve ever done SEO research or tried to coming up with content ideas, you how useful Google Trends can be when it comes to determining what people are interested in your niche. I was making SEO trend reports at… Continue Reading →
Different Is Not Always Unique
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I remember back in University my Psych professor was explaining the categories of human needs, among which is the need for affiliation. He went on to mention that the counterpart of affiliation has become more prevalent over the past few… Continue Reading →
Altruism Is an Illusion and That’s Okay
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What is Altruism? A quick google search for altruism and you would find it defined as, “the unselfish regard for or devotion to the welfare of others.” In other words, altruism is the idea that someone can do something for another… Continue Reading →
This is a program that I build to scrape post data from LinkedIn pages. It currently extracts the date, media type, text, like count, comment count, share count, and any media links. Let’s get into this.. Required Python Packages and… Continue Reading →
This is the code I wrote to scrape tweets from Twitter with python through the Twitter Search (Rest) API. I designed it to search twitter for various keywords tweeted by users and return the result in table. Introducing this program… Continue Reading →
The term “Damaged Metabolism” is thrown around quite often in the diet and fitness internet sphere. The idea behind it is that by dieting or restricting for a period of time, your metabolism slows down and no longer function the… Continue Reading →
Don’t Throw Tai Lopez Out With the Bathwater
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“Here in my Garage, just bought this new Lamborghini here…” You may recognize this line from the infamous Tai Lopez advertisement where he shows off his cars and books before instructing you to visit his website. Although the ad has… Continue Reading →
When we watch movies, there is usually one character that catches our attention. You may admire or even imagine yourself as him or her. Let me ask you: What are the common traits of these characters? Chances are these characters… Continue Reading →
My main strength goal in 2018 was to increase my deadlift by 100 pounds and finally obtain a 600-pound deadlift. I started my journey with a deadlifting PR of 500 pounds in January and hit many minor personal records along… Continue Reading →
Is Price Gouging Really That Bad?
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Anytime there is a storm or some other disaster I often hear the mention of price gouging. Whether discussed on the local news or Facebook comments, price gouging is almost always portrayed in a negative light. What is Price Gouging? Price gouging… Continue Reading →
The world of mathematics is brimming with concepts that can seem daunting at first glance, especially when it comes to advanced theories like Weyl groupoids and Tits arrangements. However, recent research by Cuntz, Mühlherr, and Weigel dives into the intricate… Continue Reading →
Bipartite bilinear programs (BBP) may sound confusing at first, but they represent a vital area of research in optimization theory, particularly within the realm of structural engineering and computational mathematics. Recent advancements have introduced novel second-order cone programming (SOCP) relaxation… Continue Reading →
Deep learning has transformed various fields, from image recognition to natural language processing. At the heart of this transformation is the ability to efficiently train complex models. Two pivotal techniques that have significantly contributed to deep learning’s evolution are Batch… Continue Reading →
The advent of new technologies in data representation has significantly altered our comprehension of complex datasets. In particular, the ability to process 3D point clouds has drawn attention due to its applications in autonomous vehicles, robotics, and virtual reality. The… Continue Reading →
Astrophysics continuously unravels the mysteries of the cosmos, particularly concerning the formation of planets and the organic content of protoplanetary disks. In exciting recent research presented by Bergner et al., two complex nitrile-bearing species, CH3CN (methyl cyanide) and HC3N (hydrocyanic… Continue Reading →
As we plunge deeper into the big data era, machine learning (ML) is becoming a staple component of intrusion detection systems (IDSs). However, the same technologies that enhance our security can also be manipulated, resulting in significant vulnerabilities. Recent research… Continue Reading →
The spiral galaxy NGC 3521 offers a fascinating glimpse into the complex interplay between different stellar populations within a galaxy. Recent research using advanced spectroscopic techniques has provided a clear understanding of how the galaxy’s bulge and disc are not… Continue Reading →
In the ever-evolving world of neuroscience, the capacity to gather data at unprecedented rates poses both opportunities and challenges. The research community has recognized the need for effective strategies to harness this data fully – a need encapsulated by the… Continue Reading →
The study of rainbow trees and their properties has evolved significantly over the past two hundred years, starting from Euler’s work on Latin squares to the contemporary research being conducted today. In a recent research paper titled “Embedding Rainbow Trees… Continue Reading →
The rapidly evolving field of computer vision continuously pushes the boundaries of what machines can perceive and understand. One of the most promising advancements in this domain is the Path Aggregation Network (PANet), which significantly improves instance segmentation—a critical task… Continue Reading →