The Soviet fleets killed almost 13,000 humpback whales in the 1959-60 season and nearly as many the next, when the Slava and Sovetskaya Ukraina were joined by a third factory ship, the Yuriy Dolgorukiy. “In five years of intensive whaling by first one, then two, three, and finally four fleets,” he wrote, the populations of humpback whales off the coasts of Australia and New Zealand “were so reduced in abundance that we can now say that they are completely destroyed!” The papers they had published over the previous decade, as co-authors and with a handful of colleagues, nearly all concerned a single, obscure historical episode: the voyages the Soviet Union’s whaling fleets made in the middle years of the 20th century.

The Soviet fleets killed almost 13,000 humpback whales in the 1959-60 season and nearly as many the next, when the Slava and Sovetskaya Ukraina were joined by a third factory ship, the Yuriy Dolgorukiy. “In five years of intensive whaling by first one, then two, three, and finally four fleets,” he wrote, the populations of humpback whales off the coasts of Australia and New Zealand “were so reduced in abundance that we can now say that they are completely destroyed!” The papers they had published over the previous decade, as co-authors and with a handful of colleagues, nearly all concerned a single, obscure historical episode: the voyages the Soviet Union’s whaling fleets made in the middle years of the 20th century.

An intriguing notion was soon planted in my head, namely that it might be possible to create a pleasing piece of music that incorporates Revelation’s numbers and other mystical symbols in essentially their original order. On the day before Thanksgiving in 2011 — when I was nearly 74 years old, and after I’d spent much of the day working as usual on — I took a blank notebook out of storage and wrote the following:

I learned a bit later that Victorinus of Poetovio, who wrote the first full-length commentary on Revelation (c. 270 A.D.), had already remarked with admiration that Revelation is organized rather like a piece of music, in that its repetitions of symbols and themes don’t simply unfold in straight lines. My job, therefore, when translating a particular line of Revelation, was to come up with music that had a certain melody and/or rhythm and/or musical effect, etc.

Modern SAT solvers fall into one of two groups: local search based solvers and

Conflict Driven Clause Learning (CDCL) based solvers. Some of the data structures are generic, and well-known outside solvers, such as custom memory managers that batch allocations and keep data laid out in a cache-friendly manner, other are pretty much specific to CDCL SAT solvers, such as the (2) watched literals scheme. The naive implementation is simple, you can create a mapping between a variable and each clause that contains its literal when you are loading the problem, and then just iterate through all clauses relevant to a variable, either marking them as solved or shortening them.

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Lisp is a language most program­mers have heard of, for two reasons. Seibel echoes Graham’s claim: “You’ll get more done, faster, using [Lisp] than you would using pretty much any other language.” Ulti­mately, he sums up the appeal of Lisp by describing it as “the program­mable program­ming language.”

In the late third century, after Christianity had swept across Egypt, there were two famous instances in which a wealthy young Egyptian left his comfortable Nile valley home for a life of prayer and loneliness in the desert. About 1346 BC, in Upper Egypt, the pharaoh Akhenaten founded a new capital on a previously uninhabited shelf of desert above the river’s eastern bank. Major cities had always been situated in the river valley, and when kings built mortuary temples and monuments, they favoured desert sites that were already sanctified by graves of the ancients.

Modern SAT solvers fall into one of two groups: local search based solvers and

Conflict Driven Clause Learning (CDCL) based solvers. Some of the data structures are generic, and well-known outside solvers, such as custom memory managers that batch allocations and keep data laid out in a cache-friendly manner, other are pretty much specific to CDCL SAT solvers, such as the (2) watched literals scheme. The naive implementation is simple, you can create a mapping between a variable and each clause that contains its literal when you are loading the problem, and then just iterate through all clauses relevant to a variable, either marking them as solved or shortening them.

Last week we announced that we would stop supporting the Works with Nest (WWN) program on August 31, 2019 and transition to the Works with Google Assistant platform (WWGA). First, we’re committed to supporting the integrations you value and minimizing disruptions during this transition, so here’s our updated plan for retiring WWN:
Your existing devices and integrations will continue working with your Nest Account, however you won’t have access to new features that will be available with a Google Account. Once your WWN functionality is available on the WWGA platform you can migrate with minimal disruption from a Nest Account to a Google Account.

Understanding the same laws to apply to both visual and aural beauty, David Ramsay Hay thought it possible not only to analyse such visual wonders as the Parthenon in terms of music theory, but also to identify their corresponding musical harmonies and melodies. Though analogies between music and the fine arts certainly do not originate with Hay, his application of music theory to an extensive array of visual experiences including color, shapes, figures, and architecture broke new ground. Hay’s work contains relatively naïve comparisons of various musical concepts (such as scale degrees, chord inversion, and melody) to diverse visual forms (such as geometrical shapes, angles, and color combinations).

For example:

The can either be an actual ID of a loaded data file which you can get by querying the endpoint, or can be equal to which will use the last loaded data file. A path to a file to which the data will be written to. This environment variable supports placeholders which will be replaced at runtime with the following:

The log level to use; possible values:

Path to the file to which the logs will be written to; if unset the logs will be emitted to stderr (if they’re enabled with ).