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 →

Unlocking the Cosmos: ALMA’s Strategic Steps Towards Revolutionary Upgrades

The Atacama Large Millimeter/submillimeter Array (ALMA) has already made remarkable strides in astronomical research, but a new roadmap outlines an even more ambitious future. This article breaks down the key developments proposed in the recent ALMA Development Roadmap and discusses… Continue Reading →

Understanding SARSA: Finite-Sample Analysis and Its Impact on Reinforcement Learning

In the world of reinforcement learning, few algorithms have gained as much attention as SARSA (State-Action-Reward-State-Action). This on-policy algorithm is designed to learn optimal policies in Markov decision processes (MDPs). The recent research conducted by Shaofeng Zou, Tengyu Xu, and… Continue Reading →

The Profound Implications of Noether’s Theorem in Modern Physics and Mathematics

In 1918, a groundbreaking revelation emerged from the mind of a young mathematician named Emmy Noether. Today, this landmark discovery—known as Noether’s Theorem—holds unparalleled importance in both physics and mathematics. This article delves into the nuances of Noether’s Theorem, elucidating… Continue Reading →

Unpacking Rhythm Zone Theory: How Speech Rhythms Reveal Linguistic Patterns

In the captivating realm of linguistics, how we produce and perceive speech rhythms offers profound insights into language comprehension and communication. A recent study introduces a groundbreaking analytical framework known as Rhythm Zone Theory (RZT), bringing a fresh perspective to… Continue Reading →

Revolutionizing Image Forensics with RemNet: A Deep Learning Approach to Camera Model Identification

As the digital age advances, the authenticity of images becomes increasingly critical. The proliferation of digitally manipulated images has made camera model identification (CMI) a crucial aspect of image forensics. At the forefront of this challenge is a novel approach… Continue Reading →

Revolutionizing Lane Detection: Understanding End-to-End Lane Detection Techniques

Lane detection has always been a critical part of advanced driver-assistance systems (ADAS) and autonomous driving technologies. The goal is simple: ensure vehicles can accurately identify lane markings. However, traditional methods have faced challenges in achieving optimal performance. In recent… 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 →

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