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Superfluids
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A superfluid is a macroscopic system with zero viscosity through which entropy is reversibly transported by waves. An unexpected transport phenomenon has now been observed between two superfluids, where irreversible entropy transport is enhanced by superfluidity.
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Delehaye, M. Surprising entropy transport. Nat. Phys. (2024). https://doi.org/10.1038/s41567-024-02489-x
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Ellie’s essay skillfully uses the topic of entropy as an extended metaphor. Through it, we see reflections about who they are and who they aspire to be.
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The first survey of Auriea Harvey, an influential Net artist turned game developer, traces the evolution of digital art from the 1990s to today.
By Travis Diehl
Installed on vintage hardware at the Museum of the Moving Image in Astoria, Queens, laid out chronologically, the first career survey of the innovative Net artist Auriea Harvey tells a story about mortality, and survival.
In Harvey’s jewel-box worlds, there aren’t heroes or villains, just people, losing and loving, enmeshed in the slipstream of tech.
Harvey, born in 1971 in Indianapolis, helped expand the vistas of digital art — utopias, games, crashes and all. In the 1990s, she created boundary-bending imagery with GIFs, Shockwave animations, and the HTML and JavaScript programming languages. Her sumptuous personal website, Entropy8.com , restored for the show, won Webby Awards in 1997 and ’98.
In the last few years, Harvey turned to sculpting imaginary but mythic-seeming artifacts that exist as both 3-D printed statuary and glossy virtual models. At the museum, you can make several rotate on transparent screens by waving your hand. The “mixed reality” sculptures incorporate scans of ancient artwork, hand-shaped clay and her own facial features — they look cracked, weathered, instantly timeless.
With each technological shift, the scintillation of new possibilities meets the tug of obsolescence.
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This research work focuses on identifying defects in patterned textiles, which are essential for improving fabric quality and reducing financial losses. The proposed hybrid denoising algorithm, ksvd dwt, effectively removes various types of noise from fabric photographs. To enhance fault detection in patterned fabrics, a feature extraction and selection strategy are employed, using robust feature descriptors like SIFT and SURF. Particle Swarm Optimization (PSO) is applied for feature selection, which, combined with the entropy-based feature selection method, significantly improves the accuracy of defect identification in patterned fabrics. The study emphasizes the importance of two-step processes involving denoising and feature extraction to distinguish between defective and defect-free fabric images.
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Alsenan SA, Al-Turaiki IM, Hafez AM (2020) Auto-KPCA: a two-step hybrid feature extraction technique for QSAR modeling. https://doi.org/10.1109/Access.2020.3047375
Sparavigna AC (2019) Entropy 21:502. https://doi.org/10.3390/e21050502 . [Online]. Available at: www.mdpi.com/journal/entropy
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Ramya, N., Jayalakshmi, T. (2024). Entropy Based Defect Detection for Patterned Fabrics. In: Vimal, V., Perikos, I., Mukherjee, A., Piuri, V. (eds) Multi-Strategy Learning Environment. ICMSLE 2024. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-97-1488-9_35
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Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we’re headed as a country.
Pew Research Center has been at the forefront of generational research over the years, telling the story of Millennials as they came of age politically and as they moved more firmly into adult life . In recent years, we’ve also been eager to learn about Gen Z as the leading edge of this generation moves into adulthood.
But generational research has become a crowded arena. The field has been flooded with content that’s often sold as research but is more like clickbait or marketing mythology. There’s also been a growing chorus of criticism about generational research and generational labels in particular.
Recently, as we were preparing to embark on a major research project related to Gen Z, we decided to take a step back and consider how we can study generations in a way that aligns with our values of accuracy, rigor and providing a foundation of facts that enriches the public dialogue.
A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations.
We set out on a yearlong process of assessing the landscape of generational research. We spoke with experts from outside Pew Research Center, including those who have been publicly critical of our generational analysis, to get their take on the pros and cons of this type of work. We invested in methodological testing to determine whether we could compare findings from our earlier telephone surveys to the online ones we’re conducting now. And we experimented with higher-level statistical analyses that would allow us to isolate the effect of generation.
What emerged from this process was a set of clear guidelines that will help frame our approach going forward. Many of these are principles we’ve always adhered to , but others will require us to change the way we’ve been doing things in recent years.
Here’s a short overview of how we’ll approach generational research in the future:
We’ll only do generational analysis when we have historical data that allows us to compare generations at similar stages of life. When comparing generations, it’s crucial to control for age. In other words, researchers need to look at each generation or age cohort at a similar point in the life cycle. (“Age cohort” is a fancy way of referring to a group of people who were born around the same time.)
When doing this kind of research, the question isn’t whether young adults today are different from middle-aged or older adults today. The question is whether young adults today are different from young adults at some specific point in the past.
To answer this question, it’s necessary to have data that’s been collected over a considerable amount of time – think decades. Standard surveys don’t allow for this type of analysis. We can look at differences across age groups, but we can’t compare age groups over time.
Another complication is that the surveys we conducted 20 or 30 years ago aren’t usually comparable enough to the surveys we’re doing today. Our earlier surveys were done over the phone, and we’ve since transitioned to our nationally representative online survey panel , the American Trends Panel . Our internal testing showed that on many topics, respondents answer questions differently depending on the way they’re being interviewed. So we can’t use most of our surveys from the late 1980s and early 2000s to compare Gen Z with Millennials and Gen Xers at a similar stage of life.
This means that most generational analysis we do will use datasets that have employed similar methodologies over a long period of time, such as surveys from the U.S. Census Bureau. A good example is our 2020 report on Millennial families , which used census data going back to the late 1960s. The report showed that Millennials are marrying and forming families at a much different pace than the generations that came before them.
Even when we have historical data, we will attempt to control for other factors beyond age in making generational comparisons. If we accept that there are real differences across generations, we’re basically saying that people who were born around the same time share certain attitudes or beliefs – and that their views have been influenced by external forces that uniquely shaped them during their formative years. Those forces may have been social changes, economic circumstances, technological advances or political movements.
When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.
The tricky part is isolating those forces from events or circumstances that have affected all age groups, not just one generation. These are often called “period effects.” An example of a period effect is the Watergate scandal, which drove down trust in government among all age groups. Differences in trust across age groups in the wake of Watergate shouldn’t be attributed to the outsize impact that event had on one age group or another, because the change occurred across the board.
Changing demographics also may play a role in patterns that might at first seem like generational differences. We know that the United States has become more racially and ethnically diverse in recent decades, and that race and ethnicity are linked with certain key social and political views. When we see that younger adults have different views than their older counterparts, it may be driven by their demographic traits rather than the fact that they belong to a particular generation.
Controlling for these factors can involve complicated statistical analysis that helps determine whether the differences we see across age groups are indeed due to generation or not. This additional step adds rigor to the process. Unfortunately, it’s often absent from current discussions about Gen Z, Millennials and other generations.
When we can’t do generational analysis, we still see value in looking at differences by age and will do so where it makes sense. Age is one of the most common predictors of differences in attitudes and behaviors. And even if age gaps aren’t rooted in generational differences, they can still be illuminating. They help us understand how people across the age spectrum are responding to key trends, technological breakthroughs and historical events.
Each stage of life comes with a unique set of experiences. Young adults are often at the leading edge of changing attitudes on emerging social trends. Take views on same-sex marriage , for example, or attitudes about gender identity .
Many middle-aged adults, in turn, face the challenge of raising children while also providing care and support to their aging parents. And older adults have their own obstacles and opportunities. All of these stories – rooted in the life cycle, not in generations – are important and compelling, and we can tell them by analyzing our surveys at any given point in time.
When we do have the data to study groups of similarly aged people over time, we won’t always default to using the standard generational definitions and labels. While generational labels are simple and catchy, there are other ways to analyze age cohorts. For example, some observers have suggested grouping people by the decade in which they were born. This would create narrower cohorts in which the members may share more in common. People could also be grouped relative to their age during key historical events (such as the Great Recession or the COVID-19 pandemic) or technological innovations (like the invention of the iPhone).
By choosing not to use the standard generational labels when they’re not appropriate, we can avoid reinforcing harmful stereotypes or oversimplifying people’s complex lived experiences.
Existing generational definitions also may be too broad and arbitrary to capture differences that exist among narrower cohorts. A typical generation spans 15 to 18 years. As many critics of generational research point out, there is great diversity of thought, experience and behavior within generations. The key is to pick a lens that’s most appropriate for the research question that’s being studied. If we’re looking at political views and how they’ve shifted over time, for example, we might group people together according to the first presidential election in which they were eligible to vote.
With these considerations in mind, our audiences should not expect to see a lot of new research coming out of Pew Research Center that uses the generational lens. We’ll only talk about generations when it adds value, advances important national debates and highlights meaningful societal trends.
Kim Parker is director of social trends research at Pew Research Center .
As biden and trump seek reelection, who are the oldest – and youngest – current world leaders, how teens and parents approach screen time, who are you the art and science of measuring identity, u.s. centenarian population is projected to quadruple over the next 30 years, most popular.
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An illustration of two cells of a film strip. Video. An illustration of an audio speaker. Audio. An illustration of a 3.5" floppy disk. Software An illustration of two photographs. ... Two essays on entropy by Carnap, Rudolf, 1891-1970. Publication date 1977 Topics Entropy Publisher Berkeley : University of California Press Collection
This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact.
Two Essays on Entropy. by Rudolf Carnap (Author), Abner Shimony (Editor) September 2020; Originally published 1977; First Edition; Hardcover $95.00, £80.00 Paperback $39.95, £34.00 eBook $39.95, £34.00; Title Details. Rights: Available worldwide Pages: 146 ISBN: 9780520324695 Trim Size: 6 x 9.
Two Essays on Entropy. Rudolf Carnap. Univ of California Press, Jan 8, 2021 - Philosophy - 146 pages. This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893 ...
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This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology.
Two Essays on Entropy. Rudolf Carnap. University of California Press, Jan 1, 1977 - Science - 115 pages . Preview this book ...
Two Essays on Entropy. D A Bell. Published under licence by IOP Publishing Ltd Physics Bulletin, Volume 30, Number 1 Citation D A Bell 1979 Phys. Bull. 30 27. Download Article PDF. ... The information theorist will look askance at the fact that these two 'essays' (they are by no means easy reading) were written between 1952 and 1954; and the ...
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Two Essays on Entropy 1st Edition is written by Rudolf Carnap and published by University of California Press. The Digital and eTextbook ISBNs for Two Essays on Entropy are 9780520324701, 0520324706 and the print ISBNs are 9780520366411, 0520366417. Save up to 80% versus print by going digital with VitalSource. Additional ISBNs for this eTextbook include 9780520324695.
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This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published ...
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This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand ...
Two Essays on Entropy by Carnap, Rudolf; Shimony, Abner - ISBN 10: 0520324692 - ISBN 13: 9780520324695 - University of California Press - 2020 - Softcover
Two Essays on Entropy - Kindle edition by Carnap, Rudolf. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Two Essays on Entropy.
Two Essays on Entropy. Michael Redhead, Rudolf Carnap & Abner Shimony. ... Gravity, Entropy, and Cosmology: in Search of Clarity. David Wallace - 2010 - British Journal for the Philosophy of Science 61 (3):513-540. Maxwell's demon and the entropy cost of information.
Title: Two Essays On Entropy. Weight: 0.76 lbs. Language: English. Number of Pages: 146. ISBN10: 0520366417. Publication Date: 2021-01-08. Publisher: University of ...
Two Essays on Entropy, Paperback by Carnap, Rudolf; Shimony, Abner (EDT), ISBN 0520324692, ISBN-13 9780520324695, Brand New, Free shipping in the US This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact.
Now, writing in Nature Physics, Philipp Fabritius and colleagues report new and unexpected entropy transport phenomena between two superfluid reservoirs of ultracold Fermi gases 4. In bosonic 4 He ...
The essays are a place to show us who you are and who you'll be in our community. It's a chance to add depth to something that is important to you and tell the admissions committee more about your background or goals. Below you'll find selected examples of essays that "worked," as nominated by our admissions committee.
But entropy has always heightened the beauty of Harvey's art. Auriea Harvey Through July 7, Museum of the Moving Image, 36-01 35 Avenue, Astoria; 718-777-6800, movingimage.org.
Two Essays on Entropy, Paperback by Carnap, Rudolf; Shimony, Abner (EDT), ISBN 0520324692, ISBN-13 9780520324695, Like New Used, Free shipping in the US This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact.
Entropy is a measurement of a system's disorganization. Increased disorder is indicated by higher entropy. Low entropy will always be preferred over high entropy as far as research and daily living are concerned. Entropy-based feature selection value for noisy and denoise for defective images and non-defective images is given in Table 4.
How Pew Research Center will report on generations moving forward. Journalists, researchers and the public often look at society through the lens of generation, using terms like Millennial or Gen Z to describe groups of similarly aged people. This approach can help readers see themselves in the data and assess where we are and where we're ...