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 →

Revolutionizing NLP: Controlled Sentiment Transformation in Sentences

In the rapidly evolving landscape of Natural Language Processing (NLP), there is an ever-present demand for high-quality training data. Recent research by Wouter Leeftink and Gerasimos Spanakis presents a compelling solution to a significant challenge in this field: the tedious… Continue Reading →

Understanding Nonlocal Electron Transport in Inertial Confinement Fusion

Recent advancements in plasma physics have revealed complexities that traditional models fail to address, especially in the context of inertial confinement fusion (ICF). The groundbreaking research by Holec et al. dives into the intricacies of nonlocal electron transport and modifies… Continue Reading →

Understanding Degeneration in Triangulated Categories: The Surprising Role of Zero Objects

In the realm of abstract algebra, triangulated categories present a fascinating landscape where mathematical objects are defined by their morphisms and relationships, much like points and lines in geometry. A recent paper on the concept of *degeneration* within these categories,… Continue Reading →

The Revolutionary Impact of BioBERT in Biomedical Natural Language Processing

As the volume of biomedical literature continues to soar, the necessity for effective biomedical text mining is more critical than ever. This article delves into the fascinating advancements introduced by BioBERT, a pre-trained biomedical language representation model that enhances the… Continue Reading →

Revolutionizing Object Detection: The Advantages of Extreme Points Detection in Bottom-Up Approaches

In recent years, the field of object detection has undergone dramatic shifts driven largely by advancements in deep learning. While traditional methods focused on a top-down approach, recent research suggests that going back to the grassroots of bottom-up detection methods… Continue Reading →

Revolutionizing Distributed Algorithms in Deep Learning with Coded Aggregated MapReduce

As the hype around big data continues to soar, the need for faster and more efficient data processing techniques has never been more critical. Researchers Konstantinos Konstantinidis and Aditya Ramamoorthy introduce an innovative approach with their concept of Coded Aggregated… Continue Reading →

Understanding the Implications of Connected Sublevel Sets in Deep Learning Models

Deep learning, with its increasing significance in technological advancements, often incites significant curiosity about its underlying mathematical principles. One of the newer discoveries in this continually evolving field is the concept of connected sublevel sets and its implications on loss… Continue Reading →

Exploring Quantum Transport in Bilayer Graphene Through the Boltzmann Equation

In recent years, the field of quantum materials has attracted significant attention, especially regarding their transport properties. One such material is bilayer graphene, a fascinating two-dimensional structure that has opened up new avenues for research in quantum mechanics and material… Continue Reading →

Unlocking New Transformations for Bailey Pairs and WP-Bailey Pairs: Applications and Insights

Mathematical research often traverses the realms of abstraction and intricate relationships. One fascinating area is the study of Bailey pairs and their variants, particularly WP-Bailey pairs. A recent transformational framework presented by James Mc Laughlin sheds light on these concepts,… Continue Reading →

Where Does The Saying Why I Oughta Come From?

The phrase ‘Why I oughta’ has a distinctive ring to it, often evoking images of cartoon characters and fictional scenarios where a character expresses indignation or frustration. But what lies behind this colorful expression? This article delves into the origin… Continue Reading →

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