This article highlights science lessons and activities that can help elementary students gain an understanding of the tools and technology involved in polar research. Suggestions for literacy integration are provided, and activities are aligned to national standards.

These hands-on, minds-on activities engage students in experiments or simulation activities and incorporate multiple questions designed to foster student understanding of important concepts in the life sciences. Topics covered include biological molecules, diffusion, metabolism, cell division, genetics, molecular biology, evolution, diversity, human physiology and design and interpretation of experiments. These activities were designed for teaching high school or middle school students, but many of these activities can also be used in non-major introductory college biology classes. To accommodate limited budgets, most of these activities can be carried out with minimum equipment and expense for supplies. Additional minds-on activities for teaching biology, including discussion activities, are available at http://serendip.brynmawr.edu/exchange/bioactivities. Most of the activities are described in student handouts and teacher notes; the student handouts are available as Word files for teachers to customize for their students.

This article highlights hands-on or multimedia lesson plans about glaciers. Science lessons are paired with suggested literacy lesson plans. All lessons are aligned to national standards.

Understanding protein functions is crucial to unlocking the value of genomic data for biomedical research and innovation. Delivering personalised health and precision medicine requires a detailed understanding of the consequences of sequence variants in proteins and their impact on phenotype. The widening gap between known proteins and their functions has encouraged the development of methods to automatically infer annotations. Artificial intelligence and machine learning hold a large repertoire of algorithms and methodologies to discover and infer prediction models. Coupled with the new big data technologies for interactive analytics and data transformation, the AI/ML methods represent valuable assets that could enhance the discovery of protein functions.

This tutorial will help you understanding how to use Spark and Interactive Analytics to make sense of protein data and build machine learning models to infer their functions.

Who is this course for?
Scientists and bioinformaticians with an interest in protein functions, machine learning and modelling.

Subjective well-being (SWB) is the scientific term for happiness and life satisfaction—thinking and feeling that your life is going well, not badly. Scientists rely primarily on self-report surveys to assess the happiness of individuals, but they have validated these scales with other types of measures. People’s levels of subjective well-being are influenced by both internal factors, such as personality and outlook, and external factors, such as the society in which they live. Some of the major determinants of subjective well-being are a person’s inborn temperament, the quality of their social relationships, the societies they live in, and their ability to meet their basic needs. To some degree people adapt to conditions so that over time our circumstances may not influence our happiness as much as one might predict they would. Importantly, researchers have also studied the outcomes of subjective well-being and have found that “happy” people are more likely to be healthier and live longer, to have better social relationships, and to be more productive at work. In other words, people high in subjective well-being seem to be healthier and function more effectively compared to people who are chronically stressed, depressed, or angry. Thus, happiness does not just feel good, but it is good for people and for those around them.

Students first study the movement of water in aquifers through a lecture on Darcy's flow experiment. Then they practice applying the concepts of hydraulic conductivity and head differentials to 1 dimensional column examples. Next they use flow simulators to view flow through a cross section of an aquifer model. This activity is the final piece in the development of the idea of head driven flow. Students are given data about the thickness and head values of an aquifer member. They plot the aquifer thickness and potentiometric surface then determine the flow direction and estimate the groundwater flow velocity.

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Healthcare Finance (15.482x) provides students with the background, resources, and framework to influence the healthcare industry. Topics include applying financial techniques such as portfolio theory, securitization, and option pricing to biomedical contexts to develop more efficient funding structures to reduce financial risks, lower the cost of capital, and bring more life-saving therapies to patients faster.
As part of the Open Learning Library, this course is free to use. You have the option to sign up and enroll if you want to track your progress, or you can view and use all the materials without enrolling.

In this session you will be introduced to the methods and dynamics of relevance for health promotion on social media with specific focus on the role and impact of fake health science . The exercise is based on a simulation game where students will join an already established secret Facebook group.

This activity is a classroom demonstration activity in which students make predictions and explore the concepts and applications of heat transfer and heat absorption.

Students gain a basic understanding of the engineering components behind telecommunications, in particular, the way telephone communication works to link one phone to another for conventional landline and cellular telephones. During this entire-class activity, students simulate how phone calls are connected by acting out a variety of searches for both local and long-distance calls. Students end up with a good understanding of how phone calls are transmitted from callers to recipients.

Are you interested in taking your first steps in robotics? Do you seek a practical approach and want to learn by doing? Join our course and learn how to program a complete real-world robotic system with ROS!

The Robot Operating System (ROS) enables you to quickly build robotic applications through access to a large set of open-source software and tools. Over the years, ROS has become the essential tool for roboticists. A large community surrounds ROS and there has been extensive input from industrial users in the development of these tools.

Many of the new advanced robot capabilities for manipulation, perception, and navigation have been developed using ROS. Companies such as Airbus and Boeing are using ROS for several of their applications. And Delft University of Technology’s Team Delft Robotic System won two challenges at the Amazon Robotics Challenge 2016 with robots developed with ROS.

In this course, you will learn to use different ROS tools to create a complete robotic application. You will be working with your own standalone Ubuntu-Linux installations and with industrial and mobile robots on the physics-based simulation engine, Gazebo. You will learn to program and configure basic robotic tasks such as pick-and-place objects, and navigate through obstacles. You will then integrate all this knowledge to build an industrial production line with two robotic arms and a mobile robot.

In this lesson, students participate in a simulation using the idea of herd immunization to investigate the concept of positive externalities related to market failure and the role of government. The lesson also introduces the concept of negative externalities.

Students use a hurricane tracking map to measure the distance from a specific latitude and longitude location of the eye of a hurricane to a city. Then they use the map's scale factor to convert the distance to miles. They also apply the distance formula by creating an x-y coordinate plane on the map. Students are challenged to analyze what data might be used by computer science engineers to write code that generates hurricane tracking models. Then students analyze a MATLAB® computer code that uses the distance formula repetitively to generate a table of data that tracks a hurricane at specific time intervals. Students come to realize that using a computer program to generate the calculations (instead of by hand) is very advantageous for a dynamic situation like tracking storm movements. Their inspection of some MATLAB code helps them understand how it communicates what to do using mathematical formulas, logical instructions and repeated tasks. They also conclude that the example program is too simplistic to really be a useful tool; useful computer model tools must necessarily be much more complex.

Students randomly select jelly beans (or other candy) that represent genes for several human traits such as tongue-rolling ability and eye color. Then, working in pairs (preferably of mixed gender), students randomly choose new pairs of jelly beans from those corresponding to their own genotypes. The new pairs are placed on toothpicks to represent the chromosomes of the couple's offspring. Finally, students compare genotypes and phenotypes of parents and offspring for all the "couples" in the class. In particular, they look to see if there are cases where parents and offspring share the exact same genotype and/or phenotype, and consider how the results would differ if they repeated the simulation using more than four traits.

This activity simulates the extraction of limited, nonrenewable resources from a "mine," so students can experience first-hand how resource extraction becomes more difficult over time. Students gather data and graph their results to determine the peak in resource extraction. They learn about the limitations of nonrenewable resources, and how these resources are currently used.

Campaign satire predicting Whig presidential candidate William Henry Harrison's ascendancy over Democrat Martin Van Buren. In the center of the print is a mountain with a statue of George Washington, "Pater Patriae," on its pinnacle. Descending the mountain is incumbent President Jackson, portrayed as a snapping turtle. Van Buren is a snake, slithering out of a "Pool of Corruption" below as Harrison, an eagle, flies overhead. Jackson: "Here I go full of glory! Martin my boy look out for Harrison he'll be down upon you like an eagle." Van Buren: "What does the old snapper say. D--n Harrison he cant "crawl"1along as I can." Harrison: "No but I can "fly" ahead of you."|Entered . . . 1836 by H.R. Robinson.|Published April 1836, by the proprietor H.R. Robinson, 48 Cortlandt St. New York.|The print was registered for copyright on April 18, 1836.|Title appears as it is written on the item.|Weitenkampf, p. 45.|Forms part of: American cartoon print filing series (Library of Congress)|Published in: American political prints, 1766-1876 / Bernard F. Reilly. Boston : G.K. Hall, 1991, entry 1836-10.

6.776 covers circuit level design issues of high speed communication systems, with primary focus being placed on wireless and broadband data link applications. Specific circuit topics include transmission lines, high speed and low noise amplifiers, VCO’s, mixers, power amps, high speed digital circuits, and frequency synthesizers. In addition to learning analysis skills for the above items, students will gain a significant amount of experience in simulating RF circuits in SPICE and also building RF circuits within a lab project.

6.976 covers circuit and system level design issues of high speed communication systems, with primary focus being placed on wireless and broadband data link applications. Specific circuit topics include transmission lines, high speed and low noise amplifiers, VCO’s, and high speed digital circuits. Specific system topics include frequency synthesizers, clock and data recovery circuits, and GMSK transceivers. In addition to learning analysis skills for the above items, students will gain a significant amount of experience in simulating circuits in SPICE and systems in CppSim (a custom C++ simulator).

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"For more than 5,000 years, metals and alloys have been formed in roughly the same way—propelling civilization from the Bronze Age to the Industrial Revolution and to the Aerospace Age. Now there’s a new technique on the horizon that could help us take another big leap forward. It’s called high-entropy alloying, and the latest Focus issue of the Journal of Materials Research showcases scientists’ and engineers’ latest efforts in understanding high-entropy alloys and their potential applications. Traditional physical metallurgy uses an element with attractive properties as a base, and adds small amounts of other elements to improve those and other properties. Over thousands of years, various elements have been used as the base: first copper, then iron, then one by one across the periodic table, until researchers developed the first titanium alloys in the 1950s. It’s a method that’s proven incredibly effective. But there are signs that the approach may be reaching its natural limit..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

For almost 300 years, leaders of the North African Barbary States hired ship captains to capture foreign ships in the Mediterranean Sea and Atlantic Ocean.

These captains, known as corsairs, kept the ships and cargo, then ransomed the crew or forced them to work in captivity.

This practice was a way for these semi-independent states of the Ottoman Empire to generate money. Some wealthy countries, such as Great Britain, would sign treaties with or make payments to the Barbary States, permitting their merchants to travel the seas freely. These cash payments and preferential trade agreements were called tributes.

When the United States gained its independence in 1783, it lost the protection of the British navy, and Barbary corsairs captured two American ships in 1785. As a new nation with limited revenue to support its government, the United States had limited funds to pay tribute and many Americans opposed it on principle. In 1793, Algerine corsairs captured 11 more American ships and 100 citizens, prompting a commercial and humanitarian crisis that could not be ignored.

With no navy or substantial annual revenue, how could the United States pay hefty ransom fees and prevent this from happening again?

Would the Barbary States even agree to negotiate terms when they clearly had the upper hand?