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πŸ”— Soviet version of the Space Shuttle

πŸ”— Aviation πŸ”— Soviet Union πŸ”— Russia πŸ”— Russia/technology and engineering in Russia πŸ”— Spaceflight πŸ”— Aviation/aircraft πŸ”— Central Asia

Buran (Russian: Бура́н, IPA:Β [bʊˈran], meaning "Snowstorm" or "Blizzard"; GRAU index serial number: "11F35 K1") was the first spaceplane to be produced as part of the Soviet/Russian Buran programme. It is, depending on the source, also known as "OK-1K1", "Orbiter K1", "OK 1.01" or "Shuttle 1.01". Besides describing the first operational Soviet/Russian shuttle orbiter, "Buran" was also the designation for the entire Soviet/Russian spaceplane project and its orbiters, which were known as "Buran-class spaceplanes".

OK-1K1 completed one uncrewed spaceflight in 1988, and was destroyed in 2002 when the hangar it was stored in collapsed. The Buran-class orbiters used the expendable Energia rocket, a class of super heavy-lift launch vehicle.

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πŸ”— Swarm intelligence

πŸ”— Computer science πŸ”— Science Fiction πŸ”— Systems

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems.

SI systems consist typically of a population of simple agents or boids interacting locally with one another and with their environment. The inspiration often comes from nature, especially biological systems. The agents follow very simple rules, and although there is no centralized control structure dictating how individual agents should behave, local, and to a certain degree random, interactions between such agents lead to the emergence of "intelligent" global behavior, unknown to the individual agents. Examples of swarm intelligence in natural systems include ant colonies, bird flocking, hawks hunting, animal herding, bacterial growth, fish schooling and microbial intelligence.

The application of swarm principles to robots is called swarm robotics, while 'swarm intelligence' refers to the more general set of algorithms. 'Swarm prediction' has been used in the context of forecasting problems. Similar approaches to those proposed for swarm robotics are considered for genetically modified organisms in synthetic collective intelligence.

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πŸ”— 8-Circuit Model of Consciousness

πŸ”— Philosophy πŸ”— Philosophy/Philosophy of mind πŸ”— Alternative Views πŸ”— Psychoactive and Recreational Drugs

The eight-circuit model of consciousness is a hypothesis by Timothy Leary, and later expanded on by Robert Anton Wilson and Antero Alli, that "suggested eight periods [circuits] and twenty-four stages of neurological evolution". The eight circuits, or eight "brains" as referred by other authors, operate within the human nervous system, each corresponding to its own imprint and direct experience of reality. Leary and Alli include three stages for each circuit that details developmental points for each level of consciousness.

The first four circuits deal with life on Earth, and survival of the species. The last four circuits are post-terrestrial, and deal with the evolution of the species, altered states of consciousness, enlightenment, mystical experiences, psychedelic states of mind, and psychic abilities. The proposal suggests that these altered states of consciousness are recently realized, but not widely utilized. Leary describes the first four as "larval circuits", necessary for surviving and functioning in a terrestrial human society, and proposed that the post terrestrial circuits will be useful for future humans who, through a predetermined script, continue to act on their urge to migrate to outer space and live extra-terrestrially. Leary, Wilson, and Alli have written about the idea in depth, and have explored and attempted to define how each circuit operates, both in the lives of individual people and in societies and civilization.

The term "circuit" is equated to a metaphor of the brain being computer hardware, and the wiring of the brain as circuitry.

Leary uses the eight circuits along with recapitulation theory to explain the evolution of the human species, the personal development of an individual, and the biological evolution of all life.

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πŸ”— List of unsolved problems in mathematics

πŸ”— Mathematics πŸ”— History of Science

Since the Renaissance, every century has seen the solution of more mathematical problems than the century before, yet many mathematical problems, both major and minor, still remain unsolved. These unsolved problems occur in multiple domains, including physics, computer science, algebra, analysis, combinatorics, algebraic, differential, discrete and Euclidean geometries, graph, group, model, number, set and Ramsey theories, dynamical systems, partial differential equations, and more. Some problems may belong to more than one discipline of mathematics and be studied using techniques from different areas. Prizes are often awarded for the solution to a long-standing problem, and lists of unsolved problems (such as the list of Millennium Prize Problems) receive considerable attention.

πŸ”— Full employment theorem

In computer science and mathematics, a full employment theorem is a term used, often humorously, to refer to a theorem which states that no algorithm can optimally perform a particular task done by some class of professionals. The name arises because such a theorem ensures that there is endless scope to keep discovering new techniques to improve the way at least some specific task is done.

For example, the full employment theorem for compiler writers states that there is no such thing as a provably perfect size-optimizing compiler, as such a proof for the compiler would have to detect non-terminating computations and reduce them to a one-instruction infinite loop. Thus, the existence of a provably perfect size-optimizing compiler would imply a solution to the halting problem, which cannot exist. This also implies that there may always be a better compiler since the proof that one has the best compiler cannot exist. Therefore, compiler writers will always be able to speculate that they have something to improve. A similar example in practical computer science is the idea of no free lunch in search and optimization, which states that no efficient general-purpose solver can exist, and hence there will always be some particular problem whose best known solution might be improved.

Similarly, GΓΆdel's incompleteness theorems have been called full employment theorems for mathematicians. In theoretical computer science this field of study is known as Kolmogorov complexity, or the smallest program which outputs a given string.

Tasks such as virus writing and detection, and spam filtering and filter-breaking are also subject to Rice's theorem.

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πŸ”— Why is P3P not used more?

The Platform for Privacy Preferences Project (P3P) is an obsolete protocol allowing websites to declare their intended use of information they collect about web browser users. Designed to give users more control of their personal information when browsing, P3P was developed by the World Wide Web Consortium (W3C) and officially recommended on April 16, 2002. Development ceased shortly thereafter and there have been very few implementations of P3P. Microsoft Internet Explorer and Edge were the only major browsers to support P3P. Microsoft has ended support from Windows 10 onwards. Microsoft Internet Explorer and Edge on Windows 10 will no longer support P3P. The president of TRUSTe has stated that P3P has not been implemented widely due to the difficulty and lack of value.

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πŸ”— Pixel Art Scaling Algorithms

πŸ”— Computer graphics

Pixel-art scaling algorithms are graphical filters that are often used in video game console emulators to enhance hand-drawn 2D pixel art graphics. The re-scaling of pixel art is a specialist sub-field of image rescaling.

As pixel-art graphics are usually in very low resolutions, they rely on careful placing of individual pixels, often with a limited palette of colors. This results in graphics that rely on a high amount of stylized visual cues to define complex shapes with very little resolution, down to individual pixels. This makes image scaling of pixel art a particularly difficult problem.

A number of specialized algorithms have been developed to handle pixel-art graphics, as the traditional scaling algorithms do not take such perceptual cues into account.

Since a typical application of this technology is improving the appearance of fourth-generation and earlier video games on arcade and console emulators, many are designed to run in real time for sufficiently small input images at 60 frames per second. This places constraints on the type of programming techniques that can be used for this sort of real-time processing. Many work only on specific scale factors: 2Γ— is the most common, with 3Γ—, 4Γ—, 5Γ— and 6Γ— also present.

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πŸ”— Why shaken, not stirred?

πŸ”— Food and drink πŸ”— Spirits πŸ”— Food and drink/Beverages πŸ”— James Bond

"Shaken, not stirred" is a catchphrase of Ian Fleming's fictional British Secret Service agent James Bond and describes his preference for the preparation of his martini cocktail.

The phrase first appears in the novel Diamonds Are Forever (1956), though Bond himself does not actually say it until Dr. No (1958), where his exact words are "shaken and not stirred." In the film adaptations of Fleming's novels, the phrase is first uttered by the villain, Dr. Julius No, when he offers the drink in Dr. No (1962), and it is not uttered by Bond himself (played by Sean Connery) until Goldfinger (1964). It is used in numerous Bond films thereafter with the notable exceptions of You Only Live Twice (1967), in which the drink is wrongly offered as "stirred, not shaken", to Bond's response "Perfect", and Casino Royale (2006) in which Bond, after losing millions of dollars in a game of poker, is asked if he wants his martini shaken or stirred and snaps, "Do I look like I give a damn?"

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πŸ”— Commonplace Book

πŸ”— Literature πŸ”— Education πŸ”— Reference works

Commonplace books (or commonplaces) are a way to compile knowledge, usually by writing information into books. They have been kept from antiquity, and were kept particularly during the Renaissance and in the nineteenth century. Such books are essentially scrapbooks filled with items of every kind: recipes, quotes, letters, poems, tables of weights and measures, proverbs, prayers, legal formulas. Commonplaces are used by readers, writers, students, and scholars as an aid for remembering useful concepts or facts. Each one is unique to its creator's particular interests but they almost always include passages found in other texts, sometimes accompanied by the compiler's responses. They became significant in Early Modern Europe.

"Commonplace" is a translation of the Latin term locus communis (from Greek tΓ³pos koinΓ³s, see literary topos) which means "a general or common topic", such as a statement of proverbial wisdom. In this original sense, commonplace books were collections of such sayings, such as John Milton's example. Scholars now understand them to include manuscripts in which an individual collects material which have a common theme, such as ethics, or exploring several themes in one volume. Commonplace books are private collections of information, but they are not diaries or travelogues.

In 1685 the English Enlightenment philosopher John Locke wrote a treatise in French on commonplace books, translated into English in 1706 as A New Method of Making Common-Place-Books, "in which techniques for entering proverbs, quotations, ideas, speeches were formulated. Locke gave specific advice on how to arrange material by subject and category, using such key topics as love, politics, or religion. Commonplace books, it must be stressed, are not journals, which are chronological and introspective."

By the early eighteenth century they had become an information management device in which a note-taker stored quotations, observations and definitions. They were used in private households to collate ethical or informative texts, sometimes alongside recipes or medical formulae. For women, who were excluded from formal higher education, the commonplace book could be a repository of intellectual references. The gentlewoman Elizabeth Lyttelton kept one from the 1670s to 1713 and a typical example was published by Mrs Anna Jameson in 1855, including headings such as Ethical Fragments; Theological; Literature and Art. Commonplace books were used by scientists and other thinkers in the same way that a database might now be used: Carl Linnaeus, for instance, used commonplacing techniques to invent and arrange the nomenclature of his Systema Naturae (which is the basis for the system used by scientists today). The commonplace book was often a lifelong habit: for example the English-Australian artist Georgina McCrae kept a commonplace book from 1828-1865.

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πŸ”— Nordstrom's 75-word employee handbook

πŸ”— United States πŸ”— Companies πŸ”— United States/Washington - Seattle πŸ”— United States/Washington πŸ”— Fashion

Nordstrom, Inc. () is an American luxury department store chain founded in 1901 by John W. Nordstrom and Carl F. Wallin. It originated as a shoe store, and evolved into a full-line retailer with departments for clothing, footwear, handbags, jewelry, accessories, cosmetics, and fragrances. Some stores feature home furnishings and wedding departments, and several have in-house cafes, restaurants, and espresso bars.

As of 2020, Nordstrom operates 117 stores in 40 U.S. states, three Canadian provinces, and Puerto Rico. The corporate headquarters and flagship store are located in the former Frederick & Nelson building in Seattle, Washington; a second flagship store is located near Columbus Circle in New York City. Its subsidiaries include the off-price department store chain Nordstrom Rack and the members-only online store HauteLook.

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