Students will extend their knowledge of volume to find the volume of right prisms, seeing that the volume is the area of the base multiplied by the height.Key ConceptsVolume is measured in cubic units. The area of the base of a prism indicates how many cubic units are in the first unit “layer” of the prism. Multiplying by height gives the number of layers, and therefore the volume.GoalsFind the volume of right prisms.SWD: Some students with disabilities may have difficulty connecting newly introduced information with previously learned concepts. Consider ways to help students with disabilities to make connections between what they have learned in previous lessons about volume and right prisms and finding the volume of right prisms.Consider the prerequisite skills for this lesson. Students with disabilities may need direct instruction and guided practice with the skills, measurement, and concepts needed for this lesson.Students should understand these domain-specific terms:volumeright (domain-specific)prismcubicIt may be helpful to preteach these terms to students with disabilities.ELL: As new vocabulary is introduced, be sure to repeat it several times and allow students to repeat after you as needed. Write the new words as they are introduced, and allow enough time for ELLs to check their dictionaries or briefly consult with another student who shares the same primary language if they wish.

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:

"Chimeric Antigen Receptor (CAR) immunotherapy is a promising new technique for precisely targeting tumor cells. The technique works by using the patient's own cells to express a molecule that combines tumor antigen specificity with immune cell activation. Doctors have already had some success treating many types of refractory blood cancers. Unfortunately, conventional tools are limited when it comes to evaluating the efficacy and safety of CAR treatment, and the potential for high toxicity makes it critical to identify patients who will benefit from the treatment. To address this, researchers have developed a new method of predicting the efficacy and toxicity of CAR immunotherapy. The Synapse Predicts Efficacy (SPE) system begins by measuring the contact site between immune cells and tumor cells – the immunological synapse. The system relies on microscopic measurements of immunological synapse quality – particularly effective polarization of the immune cell to the antigen..."

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

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:

"Microbial communities are an important part of our everyday lives. They cycle nutrients across the planet, keep our metabolism balanced, impact our infrastructure, and lend their services for the production of clean water and fuel. One important property researchers use to understand microbes is the dissimilarity between microbial communities. The problem is that there are many dissimilarity indices to choose from and choosing one over another could influence the conclusions drawn from an experiment. To provide a measure of standardization, a new study proposes a framework for capturing dissimilarity based on Hill numbers. Hill numbers measure diversity within a macroscopic community or dissimilarity between communities and now, it appears, Hill numbers can do the same for microbial communities. When coupled with a null model, Hill numbers allow for the analysis of the mechanisms driving microbial community assembly..."

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

Statistical thinking is a way of understanding a complex world by describing it in relatively simple terms that nonetheless capture essential aspects of its structure, and that also provide us some idea of how uncertain we are about our knowledge. The foundations of statistical thinking come primarily from mathematics and statistics, but also from computer science, psychology, and other fields of study.

The Andean Cordillera extends along the entire western margin of South America; it is part of a longer cordillera stretching from North America through Central America and south to Antarctica. "Cordillera" is a Spanish word adopted by geologists to refer to a large mountain range. These mountains include the highest peak in the Americas: Mt. Aconcagua in Argentina, which rises almost 7000 m (23,000 ft) above sea level. The Andes also contain the mountain peak farthest from the center of the Earth: Chimborazo in Ecuador, located on the equatorial bulge of the planet. In fact, the highest volcanoes in the world are part of the Andean Cordillera as a result of the Nazca and Antarctic Plates subducting beneath western South America.
This activity may be assigned with or without using Google Earth. Student materials for both options include the instruction sheet and an Excel spreadsheet. For the Google Earth option, a .kmz file is available containing information about earthquakes in South America and volcanic arcs around the world. For the option without Google Earth, a PDF contains images of the various arcs (screenshots from Google Earth).
The activity first presents the concept of the uneven distribution of volcanoes in South America and compares it with the distribution of earthquake epicenters. Then, students interpret this information in terms of subduction angle variations along the arc. The rest of the activity involves using Google Earth or screenshots to view other volcanic arcs and measure arc-trench distances. These data are entered into Excel and used to calculate the subduction angles for various arcs. Finally, students interpret a graph of the data.

This activity was designed as part of a longer laboratory exercise that includes more detailed work with the 1980 eruption of Mt. St. Helens, a subduction zone volcano. These other activities may also be found on the SERC website. When all three activites are combined, the laboratory exercise consists of the following:

Part I: Mt. St. Helens Ashfall Eruption
Part II: Mt. St. Helens Topographic Profiles
Part III: Volcanoes at Subduction Zones

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This webinar will introduce the PDBe search API, a powerful Solr-based query system that underlies the PDBe search pages. The breadth of search options will be highlighted, along with specific case studies that demonstrate what is possible through the search API.

This webinar is part of a 6-part PDBe API webinar series, introducing different levels of programmatic access at PDBe.The series will range from basic data retrieval and search using the PDBe API to more advanced features, including access and reuse of PDBe data visualisation components.

Who is this course for?
This webinar is open to anyone who is interested in learning about the programmatic access of PDBe.

Outcomes
By the end of the webinar you will be able to:

Describe the basic functionality of PDBe search API
Identify the applications of using the search API via specific case studies

This is an exercise that is in development and has not yet been fully tested in the classroom. Please check back regularly for updates and changes.
This discovery activity puts students in the place of real volcanologists by giving them access to real-time data from Kilauea Volcano, Hawaii. They learn about volcano monitoring techniques, study case histories of important volcanic processes, and then form and test hypotheses for past and future volcanic events with multiple instruments and real-time data. As a result, students will understand the processes that shape a basaltic shield volcano.

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In this activity, students are led through some introductory lecture material on rare earth elements, distribution coefficients, and the derivation of equations relating element concentrations in solids and liquids during processes of both equilibrium and fractional melting and crystallization. This lecture material is interspersed with class discussion questions that seek to actively query the students' stepwise understanding of concepts. The activity culminates in the students' construction of rare earth element diagrams for rock samples, a fractional crystallization numerical model (e.g. a spreadsheet) for forward modeling and comparison to data, and an equilibrium modal melting model, again for comparison to a real data set.

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Short Description:
The content of this textbook is aligned with the British Columbia Adult Basic Education learning outcomes for the Advanced Level Business/Technical Mathematics. The textbook covers nine groups of learning outcomes organized in chapters. The first three chapters cover the core learning outcomes: 1. Operations with Real Numbers, 2. First Degree Equations and Inequalities, 3. Equations and their Graphs. The remaining chapters cover the following six topics: 4. Systems of Equations, 5. Trigonometry, 6. Health Option, 7. Finance, 8. Data Analysis 1, 9. Data Analysis 2.

Word Count: 137676

ISBN: 978-1-77420-126-8

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)

The faculty resource guide provides details on the content, teaching strategies, and recommendations for the use of the Quantitative Reasoning collection for your course.

The collection was compiled by a team of subject area experts, an instructional designer and a librarian with expertise in Open Educational Resources. The collection includes student learning outcomes used to design the Quantitative Reasoning course content collection and seven learning modules aligned with those outcomes: Quantity and Proportion, Analysis of Growth, Voting Theory, Financial Literacy, Descriptive Analysis-Collecting Data, Descriptive Analysis-Describing Data, and Probability. The modules contain instructional materials, resources, and assessments further aligned with the outcomes. In addition to the information you find here in the Implementation Guide, you will find additional explanations and suggestions within individual modules and alongside specific artifacts.

From last 2 decades the acceptance of ICT in every aspect of operations that facilitates the information organization and dissemination of information. Now a days the ICT tools like Open source Software very much popular in the data management and data organization, hence the Open source Software are the alternatives to most of the commercial software. All around the world due to The emergence of OSS no. of organization. offices and libraries etc. adopts OSS for their daily work. OSS has introduced a lot of new concept of managing the library and change the way in library daily operations. Open Source Software has become increasingly popular all around the world every year no. of software user migrate from proprietary software to open source software due to cost and functionality of the OSS.

Before we go into the field, students are exposed to field collection techniques and appropriate information to collect at the outcrop. This assignment is good for field trips because students each collect 1 or few samples, but spend time on the outcrop measuring a section and collecting associated lithologic and other fossil data if available (locality information, exposure, over and underlying sedimentology, details of host rock, sedimentary structures, assocaited fossils, diversity and abundance, taphonomic condition of fossils, etc). The field locality can be anywhere where there are resaonably well preserved fossils (and should give students an appreciation of museum quality specimens). This allows this exercise to be flexible as field trip localities change. All of the information that they collect in the field will be included in their field notebook that is handed in at the end of the field trip for evaluation. In the lab-I used class time-students are asked to make a detailed sketch of their sample that they can take to the library with them, and a discussion is held as to where to look for information to identify specimens with. Students are given a week (variable depending on the availability of resources, for example if monographs need to be aquired through inter-library loan) to idenitfy their specimen and then asked to catalog them for the museum. They fill out a SUNY Oswego Paleontology Museum card, which they have seen all semester for their sample and are given the option to donate it to the collection or keep it.

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In this demonstration, students detect the interference of waves and measure wave phenomena using an experimental apparatus consisting of a laser pointer, a second surface mirror scrap (like a bathroom mirror) binder clips, razor blade, ruler, and a white wall or projection screen. Appendices with a discussion of physical principles and extension activities are included. This resource is from PUMAS - Practical Uses of Math and Science - a collection of brief examples created by scientists and engineers showing how math and science topics taught in K-12 classes have real world applications.

Explore the factors that affect a spring's motion. A spring is a resilient device that can be pressed or pulled but return to its original shape when released. Springs are commonly helical coiled metal devices. When a spring is compressed or stretched and then released, it will vibrate at a particular frequency. This frequency is called the period of the spring. Experiment by changing the spring constant (a measure of the elasticity of the coils), the mass of the weight at the end of the spring, the initial extension or compression of the spring or the friction (or damping force) exerted on the spring. Which of these factors affect the period of the spring?

During the associated lesson, students have learned about Newton's three laws of motion and free-body diagrams and have identified the forces of thrust, drag and gravity. As students begin to understand the physics behind thrust, drag and gravity and how these relate these to Newton's three laws of motion, groups assemble and launch the rockets that they designed in the associated lesson. The height of the rockets, after constructed and launched, are measured and compared to the theoretical values calculated during the rocket lesson. Effective teamwork and attention to detail is key for successful launches.

This lesson focuses on comparing and ordering fractions in ways that encourage deeper understanding of’ ‘number sense’ by supporting learners to consider different techniques to order and compare fractions with different numerators and denominators. The three techniques covered in this lesson are those used to compare fractions with like numerators or denominators, unlike numerators or denominators and by comparing to a 1/2 benchmark. Emphasis are placed on the two latter techniques. Activities and practice exercises involve real-world problems including sales discounts, cooking measurements and school score reports.

This exercise is done in a computer lab using ESRI ArcMap software with both the Spatial Analyst and 3D Analyst extensions. Students are given a copy of the Lakeside Nebraska 15 minute topographic map and a shapefile containing all the lake elevation data. They are given instructions on how to rasterize the point data to create a contour map of the water table surface and are then shown how to create flow lines. Their task is to create a flow net that they will use to determine areas of groundwater recharge and discharge. They will then generate hypotheses to explain what controls the groundwater flow system in this area.

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At some point we reach a physical limit of how fast we can send bits and if we want to send a large amount of information faster, we have to find a way to represent the same information with fewer bits - we must **compress** the data.

In this lesson, students will use the Text Compression Widget to compress segments of English text by looking for patterns and substituting symbols for larger patterns of text. After some experimentation students are asked to come up with a process (or algorithm) for arriving at a "good" amount of compression despite the fact that there is no way to know what is best or optimal. In developing a so-called "[v heuristic] approach" to this problem, students will grapple with the tradeoffs in compressing data and begin to develop a sense of computing problems that are “hard” to solve.

In this introductory-level lab activity, students first view a 20-minute portion of an informative video to learn about the operation of an array of moored buoys that is used to detect changes in the El NiÃo Southern Oscillation (El NiÃo, "normal", and La NiÃa conditions)in the equatorial Pacific Ocean. Students then directly access, display, and work with recent and present data collected from the buoy system using the Tropical Atmosphere Ocean project website. Finally, students examine data from a coral geochemical record to infer past ENSO events.

(Note: this resource was added to OER Commons as part of a batch upload of over 2,200 records. If you notice an issue with the quality of the metadata, please let us know by using the 'report' button and we will flag it for consideration.)

Short Description:
The content of this textbook is aligned with the British Columbia Adult Basic Education learning outcomes for the Advanced Level Business/Technical Mathematics. The textbook covers nine groups of learning outcomes organized in chapters. The first three chapters cover the core learning outcomes: 1. Operations with Real Numbers 2. First Degree Equations and Inequalities 3. Equations and their Graphs The remaining chapters cover the following six topics:4.Systems of Equations 5. Trigonometry 6. Health Option 7. Finance 8. Data Analysis1 9. Data Analysis2.

Word Count: 137600

ISBN: 978-1-77420-126-8

(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)