Products related to Graphic:
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Graphic Science : Seven Journeys of Discovery
Much is known about scientists such as Darwin, Newton, and Einstein, but what about lesser known scientists - people who have not achieved a high level of fame, but who have contributed greatly to human knowledge?What were their lives like? What were their struggles, aims, successes, and failures?How do their discoveries fit into the bigger picture of science as a whole?Overlooked, sidelined, excluded, discredited: key figures in scientific discovery come and take their bow in an alternative Nobel prize gallery. Antoine Lavoisier: the father of French chemistry who gave oxygen its name, Lavoisier was a wealthy man who found himself on the wrong side of a revolution and paid the price with his life. Mary Anning: a poor, working-class woman who made her living fossil-hunting along the beach cliffs of southern England.Anning found herself excluded from the scientific community because of her gender and social class.Wealthy, male, experts took credit for her discoveries. George Washington Carver: born a slave, Carver become one of the most prominent botanists of his time, as well as a teacher at the Tuskegee Institute.Carver devised over 100 products using one major ingredient - the peanut - including dyes, plastics and gasoline. Alfred Wegener: a German meteorologist, balloonist, and arctic explorer, his theory of continental drift was derided by other scientists and was only accepted into mainstream thinking after his death.He died in Greenland on an expedition, his body lost in the ice and snow. Nikola Tesla: a Serbian American inventor, electrical engineer, mechanical engineer, physicist, and futurist best known for his contributions to the design of the modern alternating current (AC) electricity supply system.A competitor of Edison, Tesla died in poverty despite his intellectual brilliance. Jocelyn Bell Burnell: a Northern Irish astrophysicist.As a postgraduate student, she discovered the first radio pulsars (supernova remnants) while studying and advised by her thesis supervisor Antony Hewish, for which Hewish shared the Nobel Prize in physics while Bell Burnell was excluded. Fred Hoyle: an English astronomer noted primarily for the theory of stellar nucleosynthesis - the process whereby most of the elements on the Periodic Table are created.He was also noted for the controversial positions he held on a wide range of scientific issues, often in direct opposition to prevailing theories.This eccentric approach contributed to him to being overlooked by the Nobel Prize committee for his stellar nucleosynthesis work. Any one of these figures could have been awarded a Nobel prize.Not every scientific discoverer was lauded in their time, for reasons of gender, race, or lack of wealth, or (in the case of Lavoisier) being too wealthy: in the 21st century, there are many more reparations and reputations to be made.
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Science, Technology And Innovation Indicators : Lessons from the Development Experience in Africa
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James Ensor and the Graphic Experiment
James Ensor (1860–1949) was a Belgian painter known for his provocative and innovative works, often featuring masks and grotesque figures.Through mediums like etching and lithography, Ensor delved into themes of existential exploration and the macabre.His graphic oeuvre showcases his mastery of line and form, inviting us into a realm where masks, skeletons, and surreal landscapes converge to challenge conventions and provoke thought.But how did Ensor make prints? What techniques did he use? Which old masters inspired him and in what way did he experiment with this medium?James Ensor and the Graphic Experiment gathers the most remarkable results of Ensor's graphic experiments: preparatory drawings, copper plates and various states of prints. Image © Museum Plantin-Moretus, Antwerp
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Drug Discovery and Development : Technology in Transition
Essential insight into drug development and the pharmaceutical industry With unprecedented interest in the power that the modern therapeutic armamentarium has to combat disease, the new edition of Drug Discovery and Development is an essential resource for anyone interested in understanding how drugs and other therapeutic interventions are discovered and developed, through to clinical research, registration, and market access. The text has been thoroughly updated, with new information on biopharmaceuticals and vaccines as well as clinical development and target identification.Drug discovery and development continues to evolve rapidly and this new edition reflects important changes in the landscape. Edited by industry experts Raymond Hill and Duncan Richards, this market-leading text is suitable for undergraduates and graduates undertaking degrees in pharmacy, pharmacology, toxicology, and clinical development through to those embarking on a career in the pharmaceutical industry. Key stages of drug discovery and development Chapters outline the contribution of individual disciplines to the overall process Supplemented by specific chapters on different modalities Includes coverage of Oligonucleotide therapies; cell and gene therapy Now comes with online access on StudentConsult
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What is the exact difference between a graphic analysis and a graphic interpretation?
A graphic analysis involves examining the visual elements of a graphic, such as its colors, shapes, and layout, to understand its design and composition. It focuses on the formal aspects of the graphic and how they contribute to its overall impact. On the other hand, a graphic interpretation involves delving deeper into the meaning and message conveyed by the graphic. It considers the context, cultural references, and symbolism within the graphic to uncover its intended or inferred significance. In essence, while a graphic analysis looks at the visual elements, a graphic interpretation seeks to understand the deeper meaning behind those elements.
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How do you conduct a graphic analysis?
To conduct a graphic analysis, start by carefully examining the graphic to understand its components, such as title, labels, and data points. Then, consider the context in which the graphic is presented and the message it is trying to convey. Next, analyze the visual elements, such as color, size, and shape, to understand how they contribute to the overall meaning. Finally, interpret the data and draw conclusions based on the information presented in the graphic.
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Can you help me with the analysis of the graphic?
Of course! I'd be happy to help you analyze the graphic. Please provide me with the graphic or describe it to me so that I can assist you in understanding the data, trends, or any other information it conveys. Let me know what specific aspects you would like me to focus on during the analysis.
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How can I understand the graphic on performance-based wage development?
To understand the graphic on performance-based wage development, you should first look at the key elements such as the x-axis and y-axis labels, the title, and any legends or annotations. The x-axis may represent time or different performance levels, while the y-axis may represent wage levels or percentage increases. Pay attention to any trends or patterns in the data, such as increasing wages with higher performance levels or fluctuating wages over time. Additionally, consider any additional information provided in the graphic, such as the source of the data or any specific factors influencing the wage development.
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Text Analysis in Python for Social Scientists : Discovery and Exploration
Text is everywhere, and it is a fantastic resource for social scientists.However, because it is so abundant, and because language is so variable, it is often difficult to extract the information we want.There is a whole subfield of AI concerned with text analysis (natural language processing).Many of the basic analysis methods developed are now readily available as Python implementations.This Element will teach you when to use which method, the mathematical background of how it works, and the Python code to implement it.
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Science experiment electromagnetic Induction power train children's science and technology STEM
Science experiment electromagnetic Induction power train children's science and technology STEM
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Using Graphic Novels in the Science, Technology, Engineering, and Mathematics (STEM) Classroom
This book provides everything STEM teachers need to use graphic novels in order to engage students, explain difficult concepts, and enrich learning.Drawing upon the latest educational research and over 60 years of combined teaching experience, the authors describe the multimodal affordances and constraints of each element of the STEM curriculum.Useful for new and seasoned teachers alike, the chapters provide practical guidance for teaching with graphic novels, with a section each for Science, Technology, Engineering, and Mathematics.An appendix provides nearly 100 short reviews of graphic novels arranged by topic, such as cryptography, evolution, computer coding, skyscraper design, nuclear physics, auto repair, meteorology, and human physiology, allowing the teacher to find multiple graphic novels to enhance almost any unit.These include graphic novel biographies of Stephen Hawking, Jane Goodall, Alan Turing, Rosalind Franklin, as well as popular titles such as T-Minus by Jim Ottaviani, Brooke Gladstone’s The Influencing Machine, Theodoris Andropoulos’s Who Killed Professor X, and Gene Yang’s Secret Coders series.
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Pioneering Progress : American Science, Technology, and Innovation Policy
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Do you have any tips for writing a good graphic analysis?
When writing a graphic analysis, it's important to start by carefully examining the visual elements of the graphic, such as color, shape, size, and layout. Consider the overall message or story that the graphic is trying to convey, and analyze how the visual elements contribute to that message. It's also helpful to provide context for the graphic, such as the source, date, and any relevant background information. Finally, be sure to support your analysis with evidence from the graphic itself, using specific examples to illustrate your points.
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Which graphic is better?
It is difficult to determine which graphic is better without more specific information about the context and purpose of the graphics. Factors such as the target audience, the message being conveyed, and the overall design goals would all play a role in determining which graphic is better. It would be helpful to have more details about the specific criteria for evaluating the graphics in order to make a more informed comparison.
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Raster or vector graphic?
The choice between raster or vector graphics depends on the specific needs of the project. Raster graphics are made up of pixels and are best for photographs and complex images with subtle color variations. On the other hand, vector graphics are made up of paths and are ideal for logos, illustrations, and designs that require scalability without loss of quality. It is important to consider factors such as the type of image, intended use, and required level of detail when deciding between raster or vector graphics.
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What are graphic elements?
Graphic elements are visual components used in design to enhance the overall look and feel of a piece. These elements can include shapes, lines, colors, textures, and typography. They are used to create hierarchy, guide the viewer's eye, and communicate information effectively. Graphic elements play a crucial role in conveying the message and aesthetic of a design.
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