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 →

The Enigma of Ultraluminous X-Ray Sources: Decoding the Mystery of Super-Eddington Accretion

Ultraluminous X-ray sources (ULXs) have long captivated the curiosity of astronomers and astrophysicists alike, offering a tantalizing glimpse into the cosmic phenomena that defy traditional understanding. In a groundbreaking research article by Philip Kaaret, Hua Feng, and Timothy P. Roberts,… Continue Reading →

Kaaret Ultraluminous X-Ray Sources: A Closer Look at ULXs and Super-Eddington Accretion

Ultraluminous X-ray sources (ULXs) have long intrigued astronomers with their extraordinary brightness levels, surpassing those of typical stellar-mass black hole binaries. Philip Kaaret, Hua Feng, and Timothy P. Roberts delve into these enigmatic phenomena, shedding light on the unique accretion… Continue Reading →

Harry Potter and the Goblin Bank of Gringotts: Financial Stability Study

Gringotts Wizarding Bank, a prominent financial institution in the Wizarding UK, has long been revered for its role in safeguarding the wealth and treasures of the magical community. However, a recent research article delves into the implications of the concentration… Continue Reading →

Examining the Impact of Gringotts Wizarding Bank on the Wizarding Economy

Gringotts Wizarding Bank, the trusted financial institution in the Wizarding UK, holds immense power and wealth within the magical community. In a study conducted in 2023 by Zachary Feinstein, the implications of breaking up this monopoly were explored, shedding light… Continue Reading →

Improving ASR Accuracy Through Neural Network Methods: Understanding Pronunciation Variations

Automatic Speech Recognition (ASR) systems play a crucial role in converting spoken language into text, enabling seamless interaction between humans and machines. However, one significant challenge faced by ASR systems is the presence of pronunciation variations in spontaneous and conversational… Continue Reading →

Understanding the Impact of Pronunciation Variations in ASR Systems and the Role of Recurrent Neural Networks

Automatic Speech Recognition (ASR) systems play a pivotal role in transcribing spoken language, but they encounter challenges when faced with pronunciation variations in spontaneous speech. The research article “Learning Similarity Functions for Pronunciation Variations” by Naaman et al. delves into… Continue Reading →

Unlocking the Mysteries of Upsilon Invariants in L-Space Cable Knots

Complex mathematical concepts often hold key insights into the fundamental structures of the universe. In the realm of knot theory, the study of Upsilon invariants is a fascinating exploration that sheds light on the intrinsic properties of L-space cable knots…. Continue Reading →

Enhancing Object Counting with Count-ception: A Breakthrough in Machine Learning

In the realm of image analysis, the task of counting objects within digital images has long been a labor-intensive challenge. However, a recent research paper by Joseph Paul Cohen, Genevieve Boucher, Craig A. Glastonbury, Henry Z. Lo, and Yoshua Bengio… Continue Reading →

Innovative Deep Metric Learning with Triplet Loss for Person Re-Identification

Exploring the cutting-edge research in computer vision, a groundbreaking study by Hermans, Beyer, and Leibe on the efficacy of the triplet loss for person re-identification has unveiled revolutionary insights in the realm of deep metric learning. Why is the Triplet… Continue Reading →

Unlocking the Potential of Deep Sets: Revolutionizing Machine Learning

Machine learning continues to evolve rapidly, with researchers constantly seeking innovative methods to tackle complex problems. In the realm of set-based tasks, traditional approaches often fall short due to the need for invariance to permutations. However, a groundbreaking research paper… Continue Reading →

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