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 →

Quantifying Risk Aversion to Optimize Your Decisions

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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 →

Scraping Linkedin Posts With Selenium & Beautiful Soup

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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 →

How to Scrape Tweets Containing Keywords with Python

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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 →

Can Your Metabolism Actually Be Damaged from Dieting?

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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 →

Become Your Ideal Self Through Comfort Challenges

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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 →

Increase Your Deadlift 100 Pounds (Step-By-Step Guide)

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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 →

Understanding Quantum Particle Trapping and Cooling with Atomic Mirror Technology

In the ever-evolving field of quantum physics, innovative techniques for manipulating particles are at the forefront of scientific research. One such approach is described in the fascinating study titled “Quantum Catcher: Trapping and cooling particles using a moving atom diode… Continue Reading →

Revolutionizing Computer Simulation Experiments: The New Approach to Space-Filling Designs

In the fields of statistics and computer science, research continues to evolve, and one emerging area is the notion of space-filling designs for computer simulation experiments. A recent study by Chang-Han Rhee, Enlu Zhou, and Peng Qiu delves into this… Continue Reading →

Revolutionizing Ground Texture Analysis for High-Precision Localization in 2023

Location-aware applications are becoming increasingly essential in our daily lives, from navigation apps to location-based services. However, traditional satellite-based localization systems, like GPS, often face significant limitations in urban environments and indoor settings, rendering them less reliable than many would… Continue Reading →

Unlocking the Secrets of Neural Networks: Understanding Over-Parameterization and SGD

Neural networks have increasingly become a cornerstone of modern machine learning, particularly in deep learning applications. While we continue to see success in real-world scenarios, scientific inquiries into their underlying mechanics are essential for future improvements. A recent paper titled… Continue Reading →

Decentralized Electricity Trading in Smart Grids: Understanding Extended Mean Field Games

In the age of renewable energy and smart technology, we find ourselves on the cusp of a revolutionary transformation in how we manage power distribution and consumption. This shift is not merely about using renewable sources like solar panels; it’s… Continue Reading →

Resumming Energy Logarithms and Understanding the BMS Equation in Jet Evolution

The world of quantum chromodynamics (QCD) is a complex one, filled with intricate details that govern the behavior of particles at high energies. Recently, significant advancements have been made in understanding double non-global logarithms in this field. This article delves… Continue Reading →

Revolutionizing Head Pose Estimation: A Deep Dive into Fine-Grained Techniques without Keypoints

In the realm of computer vision, an accurate estimation of head pose holds immense significance. Whether it’s enhancing gaze estimation, understanding human attention, or aligning facial features in 3D models, the ability to correctly gauge a person’s head orientation can… Continue Reading →

Understanding Employee Stock Options Valuation Through Mean-Variance Hedging

What are Employee Stock Options? Employee Stock Options (ESOs) are financial instruments that allow employees to purchase company shares at a predetermined price, known as the exercise price, usually after a specified vesting period. These options serve as a form… Continue Reading →

Unlocking Protein Potential: How the REAP Algorithm Enhances Reinforcement Learning in Molecular Dynamics

In the complex world of molecular dynamics (MD) simulations, one major challenge researchers face is efficiently sampling protein conformational landscapes. Traditional methods can often be computationally intensive, usually struggling when it comes to large systems or long timescales. But what… Continue Reading →

Understanding Tail Bounds in Probability: An Insight into Geometric and Exponential Variables

Probability theory often grapples with complex topics that can be daunting at first glance. However, understanding key concepts like tail bounds can illuminate the behavior of important random variables, such as geometric and exponential distributions. This article will simplify these… Continue Reading →

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