#python#cli#cti#cybersecurity#forensics#hacktoberfest#information_gathering#infosec#linux#osint#pentesting#python#python3#reconnaissance#redteam#sherlock#tools
Sherlock is a powerful tool that helps you find social media accounts by username across over 400 networks. It's easy to use and works on many operating systems like macOS, Linux, and Windows. You can install it using methods like `pipx` or Docker, and then simply type the username you want to search for. Sherlock will show you where that username is used on different social media platforms. This tool is useful for gathering information quickly and can be run locally or even online through services like Apify. It saves time and effort in finding accounts across many platforms.
https://github.com/sherlock-project/sherlock
A red blood cell count measures how many red blood cells are in a tiny drop of your blood (one microliter).
Normal ranges:
- Men: 4.0 to 5.9 million cells per microliter
- Women: 3.8 to 5.2 million cells per microliter.
To help you picture it: a microliter is about the size of a small grain of sand.
Low counts may mean anemia. High counts may be from smoking or dehydration.
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@googlefactss#Health#BloodTest#RedBloodCells#MedicalFacts
In 1658, Dutch naturalist Jan Swammerdam became the first person to observe and describe red blood cells using a microscope. 🔬🩸📜
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#ScienceHistory#Microscopy#MedicalDiscovery#RedBloodCells#Biology
Human red blood cells live for about 120 days before macrophages efficiently clear 5 million per second, but the recognition mechanism remains a mystery. New research aims to solve this. 🔬🩸⏳
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#RedBloodCells#CellBiology#MedicalScience#Macrophages#ScienceFacts
The biconcave shape of red blood cells maximizes surface area for efficient oxygen exchange and allows flexibility to squeeze through tiny capillaries, crucial for health. Diseases can distort this shape, but new microfluidic tech helps detect these changes for better diagnosis. 🔬💉🩸
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#RedBloodCells#Biology#Health#Disease#Biomechanics#MedicalInnovation#ScienceFacts