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 →

Exploring Gauge-Independent Approaches to Resonant Dark Matter Annihilation

The quest to understand dark matter (DM) has captivated physicists for decades, leading to a multitude of theories and methodologies. A recent study offers a fascinating and innovative approach to analyzing resonant dark matter annihilation, aiming to tackle complexities that… Continue Reading →

Understanding the Comparison Theorem for Extremal Eigenvalue Statistics in Random Matrices

The fascinating world of random matrix theory has always intrigued mathematicians and physicists alike, particularly when it comes to understanding the behavior of eigenvalues. A recent research piece tackles a complex topic that sheds light on the comparison theorem in… Continue Reading →

Understanding Universal Relaxation in Holographic Metallic Density Waves

In recent years, the field of condensed matter physics has been illuminated by the study of holographic metallic density waves, opening new avenues for understanding complex phenomena such as superconductivity and quantum criticality. A groundbreaking research paper delves into a… Continue Reading →

Revolutionizing Speech Synthesis with Fully Parallel TTS Systems: A Deep Dive into FPETS

Text-to-speech (TTS) technology has made significant strides in recent years, offering enriched experiences in audio synthesis for various applications from virtual assistants to audiobooks. However, many existing systems still grapple with latency issues and errors in synthesized speech. A groundbreaking… Continue Reading →

Revolutionizing Multi-Sentence Video Captioning Through Adversarial Inference Techniques

In an era where the consumption of video content is at an all-time high, the ability to generate coherent and relevant multi-sentence video descriptions has become a focal point for researchers and developers. The complex nature of video data presents… Continue Reading →

Revolutionizing Image Synthesis: Understanding the Style-Based Generator Architecture in GANs

As generative adversarial networks (GANs) continue to evolve, understanding their nuanced architectures and methodologies can be daunting for even seasoned professionals. In the realm of image synthesis, a standout development has emerged in the form of a style-based generator architecture,… Continue Reading →

Revolutionizing Realistic Iris Image Generation with Iris-GAN

The digital age has transformed numerous industries, and one area that has seen commendable advancements is biometric applications, specifically in generating realistic iris images. With the development of a novel machine learning framework called Iris-GAN, researchers are set to enhance… Continue Reading →

Pulsar Wind Nebulae and Dust Formation in Supernova Remnants: A Scientific Exploration

In the cosmos, the aftermath of a star’s explosive birth—commonly known as a supernova—can leave behind remnants that are as fascinating as they are complex. Recent research conducted by Conor Omand and colleagues dives into the mechanisms that govern dust… Continue Reading →

Understanding the Holographic Approach to the Weak Gravity Conjecture and its Implications for Black Holes

The realm of quantum gravity stands at the forefront of theoretical physics, challenging our understanding of the universe. One of the pivotal ideas in this domain is the Weak Gravity Conjecture (WGC). The recent work by Miguel Montero presents a… Continue Reading →

Revolutionizing 3D Instance Segmentation with GSPN Techniques

The world of machine learning and computer vision continues to evolve, especially in areas such as 3D data analysis and segmentation. One of the cutting-edge advancements in this domain is the Generative Shape Proposal Network (GSPN), which is pivotal for… Continue Reading →

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