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Physics Flash Animations

Physics Flash Animations
We have been increasingly using Flash animations for illustrating Physics content. This page provides access to those animations which may be of general interest. The animations will appear in a separate window. The animations are sorted by category, and the file size of each animation is included in the listing. Also included is the minimum version of the Flash player that is required; the player is available free from The categories are: In addition, I have prepared a small tutorial in using Flash to do Physics animations. LInks to versions of these animations in other languages, other links, and license information appear towards the bottom of this page. The Animations There are 99 animations listed below. Other Languages and Links These animations have been translated into Catalan, Spanish and Basque: En aquest enllaç podeu trobar la versió al català de les animacions Flash de Física.

How Do You Create A Culture Of Innovation? This is the third part in a series by Scott Anthony, author of The Little Black Book Of Innovation. It sounds so seductive: a “culture of innovation.” The three words immediately conjure up images of innovation savants like 3M, Pixar, Apple, and Google--the sorts of places where innovation isn’t an unnatural act, but part of the very fabric of a company. It seems a panacea to many companies that struggle with innovation. While culture is a complicated cocktail, four ingredients propel an organization forward: the right people, appropriate rewards and incentives, a common language, and leadership role-modeling. The Innovator’s DNA Has Four Components If you ask most people what makes a great innovator, the most common response is innate gifts from parents or a higher power. At the core is what the professors call “associational thinking.” Questioning: Asking probing questions that impose or remove constraints. Sometimes the injection of a choice outsider helps shape a company’s culture.

Origins of the Ohio Valley Giants Revealed! Origins of the Ohio Valley Giants Revealed! Hundreds of giant human skeletons have been reported in Ohio. Who were they, where did they come from? Henge and earthwork complex in Mayburg Scotland that was the prototype of the henges in the Ohio Valley. henges in the British Isles are identical to those found in the Ohio Valley. Henge located at Mounds State Park in Anderson is identical to those found in the British Isles.These henges that are found in Indiana, Ohio, West Virgina and Kentucky were constructed, like their counterparts in the British Isles as solar temples. Burial mounds in England surrounded by a ditch or earthen wall. Burial mound at Marrieta, Ohio that is surrounded by a moat or ditch. Photo is from "The Nephilim Chronicles; Fallen Angels in the Ohio Valley" Two Dinaric skulls, one from Poland and the other from an Ohio mound. Skull on the left is from a Ohio burial mound and the Corded skull on the right from a northern European burial mound.

- StumbleUpon Perpetual Futility A short history of the search for perpetual motion. by Donald E. Simanek Popular histories too often present perpetual motion machines as "freaks and curiosities" of engineering without telling us just how they were understood at the time. They also fail to inform us that even in the earliest history of science and engineering, many persons were able to see the futility and folly of attempts to achieve perpetual motion. Sometimes a particular device comes to us with a label, such as "Bishop Wilkins' magnetic perpetual motion machine." Bhaskara's Wheels. Villard de Honnecourt was born in the late 12th century and probably lived and worked in the north of France from 1225 to 1250. The most celebrated of his machine designs was for a perpetual motion wheel. Many a time have skilful workmen tried to contrive a wheel that should turn of itself; here is a way to make such a one, by means of an uneven number of mallets, or by quicksilver (mercury). Mark Anthony Zimara (1460?

Shape distributes stress: sea urchin Echinoidea Echinoidea Learn more at Organism/taxonomy data provided by: Species 2000 & ITIS Catalogue of Life: 2008 Annual Checklist Application Ideas: Roofs/buildings that resist hail or other storm damage. Industrial Sector(s) interested in this strategy: Architecture Sea urchin Taxonomy[edit] There is a wide diversity of shapes in sea urchins. This "slate-pencil sea urchin" (Heterocentrotus mamillatus), despite its big, wide spines, is a regular sea urchin and not a cidaroid: its spines are not covered with algae. Specifically, the term "sea urchin" refers to the "regular echinoids", which are symmetrical and globular, and includes several different taxonomic groups, including two subclasses : Euechinoidea ("modern" sea urchins, including irregular ones) and Cidaroidea or "slate-pencil urchins", which have very thick, blunt spines, with algae and sponges growing on it. The irregular sea urchins are an infra-classis inside the Euechinoidea, called Irregularia, and including Atelostomata and Neognathostomata. "Irregular" echinoids include: flattened sand dollars, sea biscuits, and heart urchins. Together with sea cucumbers (Holothuroidea), they make up the subphylum Echinozoa, which is characterized by a globoid shape without arms or projecting rays. Anatomy[edit]

14 Best Inventions Using Biomimicry in 2011 (Videos) © Ohio State University We love biomimicry news. There is something satisfying about the natural world telling us how to make our technology better, rather than the often-assumed other way around. This year seems to have given us a bumper crop of news stories about biomimicry innovations and we have selected some of the most interesting robots, materials, structures and strategies to highlight here. 1. 2. ICD/ITKE University of Stuttgart /via 3. 4. 5. 6. 7. © Fraunhofer IPA 8. 9. 10. 11. 12. 13. 14. Ongs Hat: Gateway to the Dimensions! A full color brochure for the Institute of Chaos Studies and the Moorish Science Ashram in Ong's Hat, New Jersey. YOU WOULD NOT BE READING THIS ARTICLE if you had not already penetrated half-way to the ICS. You have been searching for us without knowing it, following oblique references in crudely xeroxed marginal samizdat publications, crackpot mystical pamphlets, mail-order courses in "Kaos Magick"—a paper trail and a coded series of rumors spread at street level through circles involved in the illicit distribution of certain controlled substances and the propagation of certain acts of insurrection against the Planetary Work Machine and the Consensus Reality—or perhaps through various obscure mimeographed technical papers on the edges of "chaos science"—through pirate computer networks—or even through pure syncronicity and the pursuit of dreams. Where is Ong's Hat?

Thinking Unconventionally A Letter from a College Professor Some time ago I received a call from a colleague, who asked if I would be the referee on the grading of an examination question. He was about to give a student a zero for his answer to a physics question, while the student claimed he should receive a perfect score and would if the system were not set up against the student. The instructor and the student agreed to an impartial arbiter, and I was selected. The student had answered: "Take the barometer to the top of the building, attach a long rope to it, lower it to the street, and then bring it up, measuring the length of the rope. I pointed out that the student really had a strong case for full credit since he had really answered the question completely and correctly. I gave the student six minutes to answer the question with the warning that the answer should show some knowledge of physics. "Take the barometer to the top of the building and lean over the edge of the roof. "Well," said the student.

Figures for &Impossible fractals& Figures for "Impossible fractals" Cameron Browne Figure 1. The tri-bar, the Koch snowflake and the Sierpinski gasket. Figure 2. Figure 3. Figure 4. Figure 5. Figure 6. Figure 7. Figure 8. Figure 9. Figure 10. Figure 11. Figure 12. Figure 13. 45° Pythagorean tree, balanced 30° Pythagorean tree and extended tri-bar. Figure 14. Figure 15. Figure 16. Computational complexity theory Computational complexity theory is a branch of the theory of computation in theoretical computer science and mathematics that focuses on classifying computational problems according to their inherent difficulty, and relating those classes to each other. A computational problem is understood to be a task that is in principle amenable to being solved by a computer, which is equivalent to stating that the problem may be solved by mechanical application of mathematical steps, such as an algorithm. A problem is regarded as inherently difficult if its solution requires significant resources, whatever the algorithm used. Closely related fields in theoretical computer science are analysis of algorithms and computability theory. Computational problems[edit] A traveling salesman tour through Germany’s 15 largest cities. Problem instances[edit] A computational problem can be viewed as an infinite collection of instances together with a solution for every instance. Representing problem instances[edit]

Complexity, Artificial Life and Self-Organising Systems Glossary In this glossary each entry is an hypertext link that takes you to an introduction describing that concept in a wider context. Alternatively, to read all the introductions in sequence start with "Setting The Scene". This is a brief glossary, for a more detailed one see: ISAAC's. Some of the terms included here are specific to the wider CALResCo viewpoint and may not be common in the work of other more specialised groups. Adaptability The ability of an organism to learn in response to changes in its environment over the course of its lifetime. Adaptation The ability of a species to change in response to changes in its environment over many generations. Agents Individuals within an interacting population, each may have only limited freedom to react to their neighbours yet the behaviour of the whole (emergent) may be much more complex. Aggregate ALife Attractor A point to which a system tends to move, a goal, either deliberate or constrained by system parameters (laws). Arms Race Autocatalysis

Maze Design We've been working on producing mazes by computer, with input from a human designer. We're interested in two complementary questions with respect to maze design: Complexity: What makes a maze difficult to solve? The more we consider this question, the more elusive it becomes. It's certainly possible to begin defining mathematical measures of a maze's complexity, but complexity must depend on aspects of human perception as well. For example, the eye can easily become lost in a set of parallel passages. Gallery We have addressed these two aspects of maze design in separate sub-projects. We then studied maze design as a problem in non-photorealistic rendering. Clicking on the examples below will link you to a very high-res PNG. Papers Other resources Karan Singh has put together an excellent page about maze and labyrinth design, motivated by his NPAR 2006 paper on labyrinths. Mazes can be used to represent images in a couple of different ways.

Ant colony optimization algorithms Ant behavior was the inspiration for the metaheuristic optimization technique This algorithm is a member of the ant colony algorithms family, in swarm intelligence methods, and it constitutes some metaheuristic optimizations. Initially proposed by Marco Dorigo in 1992 in his PhD thesis,[1][2] the first algorithm was aiming to search for an optimal path in a graph, based on the behavior of ants seeking a path between their colony and a source of food. Overview[edit] Summary[edit] In the natural world, ants (initially) wander randomly, and upon finding food return to their colony while laying down pheromone trails. Over time, however, the pheromone trail starts to evaporate, thus reducing its attractive strength. Thus, when one ant finds a good (i.e., short) path from the colony to a food source, other ants are more likely to follow that path, and positive feedback eventually leads to all the ants' following a single path. Common extensions[edit] Elitist ant system[edit] Convergence[edit] to

Ians Shoelace Site - Shoe Lacing Methods Mathematics tells us that there are more than 2 Trillion ways of feeding a lace through the six pairs of eyelets on an average shoe. This section presents a fairly extensive selection of 50 shoe lacing tutorials. They include traditional and alternative lacing methods that are either widely used, have a particular feature or benefit, or that I just like the look of. 50 Different Ways To Lace Shoes Criss Cross Lacing This is probably the most common method of lacing normal shoes & boots. Over Under Lacing This method reduces friction, making the lacing easier to tighten and loosen plus reducing wear and tear. Gap Lacing This simple variation of Criss Cross Lacing skips a crossover to create a gap in the middle of the lacing, either to bypass a sensitive area on the instep or to increase ankle flexibility. Straight European Lacing This traditional method of Straight Lacing appears to be more common in Europe. Straight Bar Lacing Hiking / Biking Lacing Quick Tight Lacing Ukrainian Lacing- New!