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2. Polycarbonate - Wikipedia

   en.wikipedia.org/wiki/Polycarbonate

   Unlike most thermoplastics, polycarbonate can undergo large plastic deformations without cracking or breaking. As a result, it can be processed and formed at room temperature using sheet metal techniques, such as bending on a brake. Even for sharp angle bends with a tight radius, heating may not be necessary.

3. Next Unit of Computing - Wikipedia

   en.wikipedia.org/wiki/Next_Unit_of_Computing

   The standard barebone kits consist of the NUC board, in a plastic case with a fan, an external power supply, and a VESA mounting plate. [3] The plastic case is typically offered on one of two chassis, Tall (allowing for a 2.5" drive bay) or Slim (no 2.5" drive bay). [ 4 ]

4. Plastic - Wikipedia

   en.wikipedia.org/wiki/Plastic

   In 2018 more than 343 million tons of plastic waste were generated, 90% of which was composed of post-consumer plastic waste (industrial, agricultural, commercial and municipal plastic waste). The rest was pre-consumer waste from resin production and manufacturing of plastic products (e.g. materials rejected due to unsuitable color, hardness ...

5. List of furniture types - Wikipedia

   en.wikipedia.org/wiki/List_of_furniture_types

   Built-in furniture (see Frank Lloyd Wright); Campaign furniture – furniture specifically designed to break down or fold for ease of travel; Clothes valet; Credenza; Divider, shōji or partition

6. Plastic explosive - Wikipedia

   en.wikipedia.org/wiki/Plastic_explosive

   A C-4 charge packed onto a marine anchor chain. Plastic explosives are especially suited for explosive demolition of obstacles and fortifications by engineers, combat engineers and criminals as they can be easily formed into the best shapes for cutting structural members and have a high enough velocity of detonation and density for metal cutting work.

7. Hyperspectral imaging - Wikipedia

   en.wikipedia.org/wiki/Hyperspectral_imaging

   The primary disadvantages are cost and complexity. Fast computers, sensitive detectors, and large data storage capacities are needed for analyzing hyperspectral data. Significant data storage capacity is necessary since uncompressed hyperspectral cubes are large, multidimensional datasets, potentially exceeding hundreds of megabytes. All of ...