There's a helpful concept we use to help understand what distance from a given star you might expect to find planets with liquid water on their surface – liquid water being essential for life as we know it. It's called the habitable zone. Every star has a habitable zone, but where that zone lies is different for stars of different sizes and brightness.
Credit: NASA/JPL-Caltech
Materials list and 3D printed mold file: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Robotics_p020/robotics/squishy-robots-build-an-air-powered-soft-robotic-gripper?ytid=CiVX05fsEMk&ytsrc=description
Shorter overview video: https://youtu.be/jrWPagS6I68
Original gripper from Whitesides research group at Harvard: https://youtu.be/csFR52Z3T0I
Many thanks to researchers at Harvard, Cornell, Purdue, and Yale Universities for their work on this project.
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How do some organisms thrive near underwater hydrothermal vents? Could this give us clues as to how life evolved in Earth's early oceans? Find out what organisms can survive extreme conditions in this science project. Written instructions and materials available on our website: https://www.sciencebuddies.org/science-fair-projects/project-ideas/MicroBio_p037/microbiology/astrobiology-early-life-planet-habitability-microbiology?ytid=um5-Ts41nHI&ytsrc=description
0:00 Introduction
0:51 Start of…
This video shows you how to create a Long-Short Term Memory (LSTM) model to predict future air quality index (AQI) using machine learning and libraries on Google Colab. Written instructions and example code are available on the Science Buddies website: https://www.sciencebuddies.org/science-fair-projects/project-ideas/ArtificialIntelligence_p022/artificial-intelligence/air-quality?ytid=6unFkUjR964&ytsrc=description
Why do we split data into train, validation, and test?:…
Learn how to make a solar panel automatically track the sun with @microbit_edu! Written instructions with a parts list and example code are available on the Science Buddies website: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Energy_p046/energy-power/microbit-solar-tracker?ytid=oPuld-ki4lw&ytsrc=description
Science Buddies also hosts a library of instructions for over 1,500 other hands-on science projects, lesson plans, and fun activities for K-12 parents, students, and…
In this science experiment, you will test how changing the tea or sugar substrates used by the SCOBY biofilm impacts the fermentation process by measuring the biochemistry of the kombucha solution over time.
For more details on how to make kombucha with different substrates, check out our detailed instructions here:
https://www.sciencebuddies.org/science-fair-projects/project-ideas/MicroBio_p036/microbiology/Substrate-Impact-on-Biofilms?ytid=q0T5Ytp1xik&ytsrc=description
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This video shows you how to create a Random Forest model to predict thyroid cancer recurrence using machine learning and libraries on Google Colab. Written instructions and example code are available on the Science Buddies website: https://www.sciencebuddies.org/science-fair-projects/project-ideas/ArtificialIntelligence_p020/artificial-intelligence/thyroid_cancer?ytid=oe-oOsHqCk0&ytsrc=description
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Parts list, circuit diagram, and example code: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Elec_p105/electricity-electronics/automatic-pill-dispenser?ytid=00VXq03n_y0&ytsrc=description
Science Buddies Electronics Kit for Arduino (affiliate link, some parts needed for this project sold separately): https://www.homesciencetools.com/product/science-buddies-electronics-kit-for-arduino/?aff=SB1
This project uses many parts including an LED, buzzer, servo motor,…
This video explains the fundamentals behind neural networks and its applications in machine learning. Written instructions and neural networks projects are available on the Science Buddies website: https://www.sciencebuddies.org/?ytid=2wrcv28ODNg&ytsrc=description
Siamese neural network project: https://www.sciencebuddies.org/science-fair-projects/project-ideas/ArtificialIntelligence_p016/artificial-intelligence/facial_recognition?ytid=2wrcv28ODNg&ytsrc=description
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