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:

"This video is based on a preprint. Preprints are preliminary reports that have not undergone peer review. They should not be considered conclusive, used to inform clinical practice, or referenced by the media as validated information. As the COVID-19 pandemic wages on, scientific research is uncovering multiple forces that alter the spread of the disease. One enhancing factor could be air pollution. Researchers at the University of Cambridge recently linked COVID-19 to air pollution levels in England, where more than 45,000 patients have died of COVID-19. Initial findings revealed that regional variations in nitrogen oxide and ozone in particular could predict COVID-19 cases and deaths. The risk of infection was found to be increased by exposure to particulate matter (PM). Such pollution can lead to increased inflammation in the lungs or even help carry the virus that causes COVID-19 across large distances..."

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

In this video adapted from Storyknife Productions, Alaska Native pilots share how they use traditional knowledge to read the landscape and predict the weather.

In this Interactive Lecture Demonstration, students will predict the main issues that might be included in short French language videos treating topics such as endangered species, organic farming, the effect of aerosols on the environment, pollution and sustainable development. They will then view short videos on the topics and reflect on how their prior assumptions meshed with reality.

Students build a formal understanding of probability, considering complex events such as unions, intersections, and complements as well as the concept of independence and conditional probability.  The idea of using a smooth curve to model a data distribution is introduced along with using tables and technology to find areas under a normal curve.  Students make inferences and justify conclusions from sample surveys, experiments, and observational studies.  Data is used from random samples to estimate a population mean or proportion.  Students calculate margin of error and interpret it in context.  Given data from a statistical experiment, students use simulation to create a randomization distribution and use it to determine if there is a significant difference between two treatments.

Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.

(Nota: Esta es una traducción de un recurso educativo abierto creado por el Departamento de Educación del Estado de Nueva York (NYSED) como parte del proyecto "EngageNY" en 2013. Aunque el recurso real fue traducido por personas, la siguiente descripción se tradujo del inglés original usando Google Translate para ayudar a los usuarios potenciales a decidir si se adapta a sus necesidades y puede contener errores gramaticales o lingüísticos. La descripción original en inglés también se proporciona a continuación.)

Los estudiantes crean una comprensión formal de la probabilidad, considerando eventos complejos como sindicatos, intersecciones y complementos, así como el concepto de independencia y probabilidad condicional. La idea de usar una curva suave para modelar una distribución de datos se introduce junto con el uso de tablas y tecnología para encontrar áreas bajo una curva normal. Los estudiantes hacen inferencias y justifican conclusiones de encuestas de muestra, experimentos y estudios de observación. Los datos se usan de muestras aleatorias para estimar una media o proporción de población. Los estudiantes calculan el margen de error y lo interpretan en contexto. Dados los datos de un experimento estadístico, los estudiantes usan la simulación para crear una distribución de aleatorización y lo usan para determinar si hay una diferencia significativa entre dos tratamientos.

Encuentre el resto de los recursos matemáticos de Engageny en https://archive.org/details/engageny-mathematics.

English Description:
Students build a formal understanding of probability, considering complex events such as unions, intersections, and complements as well as the concept of independence and conditional probability.  The idea of using a smooth curve to model a data distribution is introduced along with using tables and technology to find areas under a normal curve.  Students make inferences and justify conclusions from sample surveys, experiments, and observational studies.  Data is used from random samples to estimate a population mean or proportion.  Students calculate margin of error and interpret it in context.  Given data from a statistical experiment, students use simulation to create a randomization distribution and use it to determine if there is a significant difference between two treatments.

Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.

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:

"A new algorithm has successfully mapped part of the brain’s circuitry during shock therapy. For those suffering from severe depression, the approach could make for safer and more effective treatment. For brain research at large, it could lead to better ways of untangling noisy neural data to reveal real connections between different focal regions of the brain. Despite the gruesome picture painted by pop culture, modern shock therapy is a mild treatment option. In fact, over 2 million treatments are administered worldwide every year. Under general anesthesia, patients receive a small amount of current to the brain, triggering a brief seizure. The resulting changes in brain chemistry have been shown to reverse symptoms of mental health conditions like severe depression or bipolar disorder. But the procedure isn’t perfect. One of the most troubling side effects is memory loss, a result of poor targeting. To be effective and safe, induced seizures should be restricted to the pre-frontal cortex..."

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

Animation is a compelling and effective form of expression; it engages viewers and makes difficult concepts easier to grasp. Today's animation industry creates films, special effects, and games with stunning visual detail and quality. This graduate class will investigate the algorithms that make these animations possible: keyframing, inverse kinematics, physical simulation, optimization, optimal control, motion capture, and data-driven methods. Our study will also reveal the shortcomings of these sophisticated tools. The students will propose improvements and explore new methods for computer animation in semester-long research projects. The course should appeal to both students with general interest in computer graphics and students interested in new applications of machine learning, robotics, biomechanics, physics, applied mathematics and scientific computing.

In this informational text, elementary school readers learn about the difference between weather and climate and about components of the climate system. The text can be used to practice visualizing and other comprehension strategies. Available in K-2 and 3-5 grade bands and as an illustrated book as well as a text document, the story appears in the online magazine Beyond Weather and the Water Cycle.

Watch alpha particles escape from a polonium nucleus, causing radioactive alpha decay. See how random decay times relate to the half life.

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:

"When patients undergo general anesthesia, there’s a shift in the distribution of ventilation and perfusion throughout the lung, with more areas of the lung getting too much air, relative to the amount of blood flow, and others getting too little. This type of scatter is traditionally described by Riley’s three-compartment model, in which high-ratio lung regions getting less blood flow produce increases in the alveolar deadspace. But new work published in the journal Anesthesiology shows that this model fails to account for different blood solubilities of various anesthetics -- and shows how multicompartment models better predict what is happening in the lungs. The researchers extended an earlier study in anesthetized patients that found that partial pressure measurements of inhaled anesthetic in the lungs did not match those made for carbon dioxide -- and were inconsistent with the three-compartment theory..."

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

This is a unit about the ADA. It has hands on activities that simulate physical and cognitive impairments to build empathy in relation to the social justice standards.

This course focuses on computational and experimental analysis of biological systems across a hierarchy of scales, including genetic, molecular, cellular, and cell population levels. The two central themes of the course are modeling of complex dynamic systems and protein design and engineering. Topics include gene sequence analysis, molecular modeling, metabolic and gene regulation networks, signal transduction pathways and cell populations in tissues. Emphasis is placed on experimental methods, quantitative analysis, and computational modeling.

This subject is designed to inform students on the analytical foundations of inviscid subsonic aerodynamics. A primary goal of this subject is to equip students with the scientific rigor, applied mathematical complexity, and physical understanding that form the foundation of classical subsonic aerodynamics. Perturbation methods that both simplify mathematical complexity and expand physical understanding of critical phenomenon in fluid flow provides a framework for the subject. The subject offers lectures in classical subsonic aerodynamics at the graduate level on inviscid, subsonic, steady flow over slender aerodynamic bodies. Topics will be selected from: fundamentals of fluid mechanics [review]; singular-perturbation methods [introduction, JIT]; similitude; subsonic flows with axial symmetry; linearized subsonic flow; slender body theory; similarity rules for subsonic flows; two-dimensional flow past a wave-shaped wall; thin wing theory; Kaplan’s higher approximations.

Comparative planetary geology requires understanding how geological processes are affected by changes in physical environment-each planet and moon provides an opportunity to refine our understanding of how physical geological processes operate. Volcanism is a great example of a major geological process highly susceptible to such variations. Students performing this exercise will constrain how "Amboy Crater" would look if the same eruption happened on the Moon and Mars. Part 1 of the exercise asks small groups to assess either the yield strength of the Amboy flows or the time required for the flow to travel a given distance. After discussion of the results, Part 2 asks students to characterize the dimensions of the same flow, if emplaced on Mars or the Moon (changing only gravitational acceleration), and the time required for it to form; they are asked to predict the outcome in advance. Part 3 uses "Erupt" freeware by Ken Wohletz to explore how gravity changes will affect cinder cone geometry; the model is tested first to see if it correctly predicts an Amboy-like geometry, and afterwards students are asked to brainstorm what other factors should also be modified to improve the accuracy of the simulation, and how these changes would be expected to affect the geomorphological outcome. Finally, Part 4 asks students to use simple ballistic equations, implemented via an online Applet (Stromboli), to constrain the launch angle and starting velocity for the eruption that formed Amboy Crater (modifications are supposedly underway to permit this applet to run with different values of gravitational acceleration and air resistance).

(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.)

This course presents real-world examples in which quantitative methods provide a significant competitive edge that has led to a first order impact on some of today's most important companies. We outline the competitive landscape and present the key quantitative methods that created the edge (data-mining, dynamic optimization, simulation), and discuss their impact.

This course covers the key quantitative methods of finance: financial econometrics and statistical inference for financial applications; dynamic optimization; Monte Carlo simulation; stochastic (Itô) calculus. These techniques, along with their computer implementation, are covered in depth. Application areas include portfolio management, risk management, derivatives, and proprietary trading.

The activity is divided into seven parts, as follows:

Part A: students access an online data set of historic global temperature anomalies and use the webpage to answer questions about the source and presentation of the data.
Part B: students copy the data into an Excel spreadsheet and organize it so that it is easy for them to use and for others to follow.
Part C: students graph their data, explore the use of trend lines, and use a linear regression line to predict future temperatures.
Part D: students access an online data set of historic temperature anomalies within their latitude zone, analyze this data, and compare their results to those from Part C.
Part E: students access an online data set of historic temperatures for their state, analyze this data, and compare their results to those from Parts C and D.
Part F: students choose two original questions related to climate variability and use these or other data sets to address their questions.
Part G: students evaluate the statistical significance of their linear regression lines and interpret their results in the context of climate variability

(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.)

This activity is an indoor lab where students will make predictions of what a force vs time and acceleration vs time graph will look like for a ride in an elevator going down and up. Students will collect data remotely using a Force Plate and accelerometer and then download the data to the computer for further analysis.

This inquiry provides students the opportunity to analyze the attitudes and beliefs of different time periods using Treaties made between the Territory of Washington and Native American tribes. Students will investigate the intentions behind the treaties of 1854-1855 to determine if the ideals were met or not.  Then they will look into how Native Americans used the treaties in 1960-70’s to establish themselves as different from Washington State citizens and as a way to remain “Indian.”  This inquiry is meant to challenge students to analyze the intentions of documents and to predict how they could be seen or used in the future. Students will need to have a solid background on native American cultures and traditions as well as an understanding of manifest destiny to accurately comprehend the results of the treaties recommendations are written below on how this might be done and focusses. The unit will come to a close when students write an argumentative essay using evidence and counterargument to address how documents can be used differently throughout time. 

This video tells about description of gross anatomy of eye described in Ayurveda
#Ayurveda #eayurveda #elearning #eclasses #Shalyakya #anatomy of eye #cbpacs.
Ayurveda is the ancient science and still its effective and time tested since long. Sushruta is considered as Godfather of surgery till date. Sushruta Samhita is mainly focuses on Shalya tantra (Surgery of Ayurveda) and also Shalakya tantra which includes Ophthalmology, ENT and densitry. Eye is described in most elaborative and scientific manner in ayurveda. Anatomy and description of eye diseases simulates with modern ophthalmology. As in ophthalmology classification based on structure eg disease of the lids, conjunctiva, cornea etc . Same way diseases are classified as diseases of the vartma, shuklamandala, krishna mandala etc.
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