Subcontracting aircraft parts. War production is in large measure a story of conversion, a story of using at once facilities already available while newer facilities are being readied. Formerly an airship dock, this huge building--thought to be the largest in the world with no interior supports--is now the scene of many busy shops turning out aircraft sub-assembly parts. Either new housing close to the plant or vastly improved public transportation will eventually have to be supplied, for the tires on the cars of the workers, and perhaps even the cars themselves, will in many instances give in before the end of the present emergency. Goodyear, Akron, Ohio

The main types of airship are non-rigid, semi-rigid, and rigid. Non-rigid airships, often called "blimps", rely on internal pressure to maintain the shape of the airship. Semi-rigid airships maintain the envelope shape by internal pressure but have a supporting structure. Rigid airships have an outer structural framework which maintains the shape and carries all structural loads, while the lifting gas is contained in internal gas bags or cells. Rigid airships were first flown by Count Zeppelin and the vast majority of rigid airships built were manufactured by the firm he founded. As a result, all rigid airships are sometimes called zeppelins. In early dirigibles, the lifting gas used was hydrogen, due to its high lifting capacity and ready availability. Helium gas has almost the same lifting capacity and is not flammable, unlike hydrogen, but is rare and relatively expensive. Airships were most commonly used before the 1940s, but their use decreased over time as their capabilities were surpassed by those of aeroplanes.

We at GetArchive are exploring new methods of image metadata augmentation and verification. Our goal is to make it possible to find images on any topic. In particular, we are trying to verify and fix historic periodization. This collection is made of historic photographs of automobiles that look as if they were taken in the 1940s. The collection is made with aid of a neural image recognition network dealing with the whole image composition rather than with the car model - some cars may be dated incorrectly. Although, while this method is surprisingly good for the purpose of dating and tagging, a certain percentage of images (less than 8%) may not represent automobile, but other vehicle type or visually similar object. Naturally, our next step should be creating numerous datasets for a particular car years&models, but as of September 2022, we found no use to justify the effort.