In one aspect, there is provided a fabric containing gas therein, the fabric comprising a weave between warps and wefts, wherein each warp includes an elongate array of a plurality of individual gas cells, wherein neighboring gas cells are physically coupled to each other via a connection, wherein the connection is monolithic with the gas cells, and each cell contains the gas therein.

Provided are fabrics and lifting devices that are high performance and skin friendly, for patient care, including as bed linens upon which a patient may sleep and/or rest, as well as patient slings for lifting and/or repositioning a patient.

Provided are fabrics and lifting devices that are high performance and skin friendly, for patient care, including as bed linens upon which a patient may sleep and/or rest, as well as patient slings for lifting and/or repositioning a patient.

A textile with high weave density which comprises a main-yarn made of a Japanese paper yarn and a sub-yarn thinner than the main-yarn interwoven with each other, wherein the textile has a weave texture structure including warps A and wefts A made of the main-yarn, and warps B and wefts B made of the sub-yarn, wherein in the weave texture structure, warp rows have a repeating row structure where a plurality of warps B are located between two warps A and weft rows have a repeating row structure where a plurality of wefts B are located between two wefts A, and wherein the warps A and the wefts A cross each other in a plain weave texture structure.

Lightweight, breathable, non-woven fibrous materials and composite articles incorporating the same are provided. Composite articles are formed by merging an open, non-woven grid formed from high tenacity elongate bodies with at least one substrate, forming an article having excellent tensile strength, excellent breathability and a unique aesthetic appearance.

The invention relates to a re-weaving machine (1) and re-woven tire cord fabric which enables to weave the defected tire cord fabrics (B) to be woven again without being damaged after finishing process, re-woven tire cord fabric. The objective of the present invention is to provide a reweaving machine (1) which allows weaving the tire cord fabrics (B) again without getting damaged even in tire cord fabrics (B) with high linear densities and high weft densities, and which has blades (10) that can be adjusted according to the different cord fabric features.

A method for weaving pile fabrics with pile-free zones, in which, on a weaving loom, in successive series of at least two successive weft insertion cycles in each case at least one ground weft thread (1) and at least two effect weft threads (2),(3) having mutually different appearance-determining properties are inserted at well-defined weft-insertion levels, in which the effect weft threads (2),(3) in each series are inserted in successive weft insertion cycles, and in which, in order to create a predetermined effect in at least one pile-free zone, the warp threads (4-7); (12-22); (101-104) are positioned with respect to the weft insertion levels such that at least one effect weft thread (2),(3) runs on the pile side substantially uncovered.

The invention relates to a fabric for electromagnetic shielding having a weave of interlaced weft threads (2) and warp threads (3). In addition, the warp threads (3) are conductive and include multi-filament or mono-filament textile conductors associated with metal strands and at least one conductive warp thread (4) is inserted into a weft such as to create equipotential bonding perpendicular to the direction of the warp threads (3).

Textiles and garments comprising shape memory materials are disclosed herein. Such garments can include intimate apparel.

Software and lasers are used in finishing apparel to produce a desired wear pattern or other design. A technique includes using machine learning to create or extract a laser input file for wear pattern from an existing garment. Machine learning can be by a generative adversarial network, having generative and discriminative neural nets. The generative adversarial network is trained and then used to create a model. This model is used generate the laser input file from an image of the existing garment with the finishing pattern. With this laser input file, a laser can re-create the wear pattern from the existing garment onto a new garment.