7253 results about "Woven fabric" patented technology

A graphene-infused fabric is provided as a sound reducing acoustic layer for object such as a pickleball paddle. The graphene-infused fabric is made from polymer fibers, at least one of which is a graphene-infused polymer fiber. Graphene is blended into a polymer material, and fibers are manufactured from said material such as by extrusion. The graphene-infused polymer is combined with other fibers to be made into a woven or non-woven fabric.

The invention discloses a textile design optimization method based on artificial intelligence, and relates to the technical field of artificial intelligence, and the method comprises the steps: constructing a textile processing digital twinborn model; multi-modal data acquisition and feature fusion: providing data input by deploying a sensor array and fusing features; simulation and deduction are carried out based on a digital twinborn model, a diagnosis result of the state sensing module is used as model input, the predictive control module carries out advanced simulation and optimization calculation by using a prediction model, and the collaborative scheduling module realizes global optimization based on the model and outputs a precise control instruction; and executing the precise control instruction, returning the executed real data as feedback, and updating and correcting the S1 digital twinborn model to form a closed loop. According to the method, refinement, real-time adaptive optimization and efficient cooperative control of the textile processing process can be achieved, the processing quality and consistency are remarkably improved, the waste and defective rate is reduced, and the method has the self-evolution capacity.

The present application discloses a shapewear garment comprising an upper, middle, and lower portion, along with an abdominal compression panel. The upper portion wraps around the wearer's chest and upper back. The middle portion, positioned below the upper, comprises an abdominal and lower back covering. The lower portion extends around the wearer's front crotch area and buttocks. The abdominal compression panel, combined with the abdominal covering, has a higher modulus of elasticity than the other portions. A bust support area on the upper portion's outer surface features greater textile tension than surrounding areas.

The invention relates to the technical field of textile detection, in particular to a computer-aided textile color fastness prediction method, which comprises the following steps: acquiring multi-source data before and after a textile color fastness test through computer control equipment, including digital images, reflection spectrum data, process parameters and dye characteristic component data, carrying out pretreatment; extracting color difference features and spectrum similarity features, and screening by adopting a dimension reduction algorithm to form a core feature vector; a machine learning algorithm is adopted to construct a color fastness prediction model, parameters are optimized in combination with cross validation and an early stop mechanism, model fine tuning is executed, and a final optimization model is obtained; and outputting a color fastness grade prediction result, and carrying out spectrum similarity secondary verification. According to the method, objective, efficient and high-precision prediction of the color fastness grade of the textile is realized, and the problems of high subjectivity and low efficiency of traditional manual evaluation are solved.

The invention provides a textile surface defect detection method and system based on image features, and relates to the technical field of textile surface defect detection.The method comprises the steps that an RGB image of a to-be-detected textile is obtained and zoomed to 512 * 512 pixels, and then at least five semantic tags are output through a semantic segmentation model; the method comprises the following steps: adopting hyperspectral imaging with the wavelength of 400-1700 nm and the resolution of 10 nm, calculating the pixel reflectivity through a reflectivity formula, comparing the reflectivity of 5-8 characteristic wavebands, marking as a pollutant if the average deviation exceeds a threshold value, matching the type and position of a stain with a spectral angular distance, and after a standard sample and a semantic region are converted into an LAB color space, extracting a minimum rotation enclosing rectangle and dividing a grid, invalid pixels are filled with 3 * 3 neighborhood effective pixel weighted mean values, and a grid LAB mean value is calculated. A grid pollutant pixel corresponding to an image to be detected is filled with a standard sample in a mean value mode, then channels A and B are clustered through a sliding window, a pilling area is preliminarily judged according to the standard deviation of a channel L, and the pilling area is confirmed by combining the structured light three-dimensional point cloud and comparing with a threshold value.

The invention belongs to the field of functional textile materials, and provides a directional moisture-conducting, dry, comfortable, breathable and quick-dry fabric and a preparation method thereof. A three-layer composite structure design is adopted, the outer layer is a gradient wetting structure formed by attaching a thermoplastic polyurethane film subjected to single-face thermal orientation treatment and knitted fabric, the middle layer is a hydrophilic non-woven fabric, the inner layer is a knitted fabric subjected to hydrophilic finishing, and the two layers are compounded through a hot melt adhesive dot-shaped net. Hydrophilic blocks of the thermoplastic polyurethane film are directionally enriched through single-face contact heating, gradient distribution with one hydrophilic side and one hydrophobic side is formed, and the hydrophobic surface is coated with a low-surface-energy coating. The fabric has excellent one-way moisture conduction performance, moisture can be rapidly transmitted from the inner layer to the outer layer and rapidly volatilized, dryness and comfort of the close-fitting fabric are kept, meanwhile, the fabric has good air permeability and quick-drying performance, the moisture conduction rate is increased by 30% or above compared with that of traditional fabric, and the fabric is suitable for being popularized and applied. The fabric has wide application value in the fields of sportswear, outdoor equipment, leakage-proof underpants and the like.

Aspects herein are directed to textile that includes a first layer formed from a first plurality of yarns or fibers. The first layer includes a first set of apertures, each aperture having a first opening size. The textile further includes a second layer formed from a second plurality of yarns or fibers. The second layer includes a second set of apertures. Each aperture in the second set of apertures is axially aligned with a corresponding aperture in the first set of apertures. Each aperture in the second set of apertures has a second opening size that is smaller than the first opening size of apertures in the first set of apertures. The first layer is relatively more hydrophilic than the second layer.

The invention relates to the technical field of reverse osmosis membrane supports, in particular to a polyester non-woven fabric and a preparation method and application thereof.The preparation method comprises the steps that S1, polyester main body fibers and polyester adhesive fibers are used as raw materials to prepare high-quantitation original cloth M0 and low-quantitation original cloth H0; carrying out hot pressing pretreatment on the H0 to obtain a product H0 '; s2, overlapping and hot-pressing M0 and H0 'to obtain a composite non-woven fabric M1H1; s3, the M1H1 is impregnated with a functional solution, and the functional solution contains para-aramid nanofibers and nano calcium carbonate modified by hexadecyl trimethyl ammonium bromide; and then carrying out cold pressing on the composite non-woven fabric impregnated with the functional solution to obtain the nano-material modified composite non-woven fabric. And S4, carrying out secondary hot pressing treatment to obtain the polyester non-woven fabric. The polyester non-woven fabric can effectively avoid the problems of excessive curling, excessive permeation of a polysulfone solution and the like during curing after being coated with polysulfone, and is more beneficial to application in a reverse osmosis membrane.

Athletic and / or work wear garment can have textile regions of differing friction to facilitate maintaining a grip between high friction textile regions and objects pressed against the high friction textile regions. In some embodiments, the high friction textile regions can facilitate carrying objects. In some embodiments, the garment can be a shirt. In some embodiments, the garment can be pants. In some embodiments, the garment can be an undergarment and the high friction textile regions can reduce shifting of an outer garment in contact with the undergarment.

The invention discloses a multi-stage flow guide double-sided anisotropic sanitary surface layer spunlace material and a preparation method thereof, and relates to the technical field of textile manufacturing. The preparation method of the sanitary surface layer spunlace material comprises the following steps: opening, carding and cross lapping a fiber raw material to obtain a front surface fiber web and a back surface fiber web, overlapping the front surface fiber web and the back surface fiber web in a manner that the front surface is on the upper side and the back surface is on the lower side, performing spunlace reinforcement, finishing after reinforcement, and finally drying and winding to obtain the sanitary surface layer spunlace material. Wherein the front fiber net is made of all-cotton fibers, and the gram weight is 30-50 g / m < 2 >; the reverse side fiber net is made of mixed fibers, and the gram weight is 40-60 g / m < 2 >; the reverse fiber net is obtained by mixing modified regenerated cellulose fibers, polyurethane fibers and bamboo pulp fibers according to the mass ratio of (10-30): (5-10): 100.

The invention relates to the field of textile detection, and discloses a fabric flame retardance analysis method based on infrared thermal imaging sensing data, which comprises the following steps: performing non-contact temperature measurement on a fabric sample in a controlled heat shock disturbance field, acquiring an infrared imaging signal sequence, and performing energy projection rearrangement on the infrared imaging signal sequence; based on the discontinuous change of the energy flow density in the primary thermal behavior field, establishing a boundary disturbance model of a local overheating region, and comparing the morphological difference between a thermal expansion path and a radiation energy attenuation region; mapping the heat potential difference of each region in the critical response diagram into an energy constraint state inside the material, and deducing time bias distribution of energy conduction; introducing a spectrum equalization function under time offset distribution, and executing asymmetric compensation on local abnormal points of the infrared response data; and based on the decomposition threshold dynamic trajectory, calculating a flame-retardant response equilibrium rate and an energy flow retention rate, and forming a flame-retardant performance evaluation index. The method has the advantage of improving the accuracy of flame retardant detection.

The invention relates to the field of textile production, and discloses an intelligent control method for a textile finished product production line, which comprises the following steps: acquiring a textile surface image through a camera array to obtain textile surface image data; performing fiber arrangement density analysis on the textile surface image data to obtain fiber arrangement density difference data; according to the yarn gap distribution characteristic extraction method and device, environmental factors are monitored and compensated in real time through the temperature and humidity correlation deformation correction coefficient, it is ensured that under different environmental conditions, fabric tension is kept stable, the product quality and the production stability are further improved, and the yarn gap distribution characteristic data are obtained. An equipment cooperative control model constructed by using a depth deterministic strategy gradient algorithm realizes real-time speed adjustment and tension compensation of the textile machinery group through edge computing nodes, and the collaboration and automation level of the production process are effectively improved.

The invention discloses a textile color difference detection method based on image data, and relates to the technical field of image processing and computer vision, and the method comprises the following steps: S1, collecting an image of a textile with a high reflection characteristic under a standard light source, constructing a light intensity prediction model, and carrying out the analysis based on pixel brightness distribution, identifying a brightness abrupt change region and a saturation critical region, and generating an image-level saturation risk probability graph; s2, performing multi-scale exposure area division on the image based on the image-level saturation risk probability graph, setting a target brightness range of each exposure control sub-area, and recording a global exposure parameter of the image acquisition equipment as an initial baseline of exposure scheduling; according to the method, pixel-level brightness convergence is realized through light intensity prediction and area exposure control, real color distribution is reconstructed in combination with color compensation, and a closed-loop process is constructed by introducing model self-correction, so that the detection precision and consistency of the micro chromatic aberration of the high-reflective fabric are improved, and the automation and industrial applicability are enhanced.

The invention relates to the technical field of production matching recommendation, in particular to a textile fabric online production recommendation system based on a knowledge graph, and the system comprises a knowledge graph construction module which is used for integrating and storing multi-dimensional information of textile fabrics, and constructing a textile fabric knowledge graph; the user demand receiving module is used for receiving cloth demand information input by a user, wherein the cloth demand information comprises cloth types and performance requirements; the recommendation algorithm module is used for analyzing the matching degree between the user demand and the cloth characteristics through a matching algorithm based on the knowledge graph, and recommending an optimal cloth production scheme for the user; and the scene analysis module is used for collecting related environment parameters of an expected application scene of a user, constructing an influence model between cloth performance and the environment parameters, evaluating performance of recommended cloth under a demand environment condition, and optimizing cloth recommendation according to an evaluation result. And the user can obtain the cloth recommendation which most meets the requirements.

The invention relates to a seatbelt webbing (10) for a seatbelt system of a motor vehicle, comprising a woven fabric of warp threads (11) and weft threads (12), where the woven fabric comprises a primary color in one or more base portions (13). The seat belt webbing includes at least one stripe having a different color and extending parallel to the warp yarns. Transition stripes are arranged at transitions from the base portion to the stripes, wherein the warp yarns of the base portion and stripes include base yarn counts. The transition stripe includes at least two warp yarns having a transition yarn count that is finer than the base yarn count.

The invention relates to the technical field of defect detection, and particularly discloses a defect visual detection device based on non-woven fabric processing, which comprises a machine body, conveying rollers for conveying non-woven fabrics are rotatably arranged on two sides of the machine body, a camera for visual detection is fixedly connected in the machine body, and the defect visual detection device further comprises a conveying assembly, the conveying assembly is arranged on the right portion of the machine body and used for intermittently conveying the non-woven fabric, a camera shoots an image to conduct visual detection when conveying is paused, through cooperation of the structures, the non-woven fabric can be kept in a static state during shooting, the non-woven fabric cannot be shot when the non-woven fabric shakes, and the non-woven fabric is not prone to shaking. Therefore, the situation that motion blurring occurs to an image collected by the camera, and the visual detection precision is affected is avoided, when traction is stopped, the conveying roller on the left side can slightly conduct unwinding, and therefore when static shooting is conducted, non-woven fabric deformation caused by tension is reduced, and the detection precision is further improved.

The utility model relates to the technical field of non-woven fabric processing, in particular to a non-woven fabric laminating device with a positioning function, which comprises a processing table, one end of the processing table is rotatably connected with a fabric unwinding frame and a protective film unwinding frame respectively, and the other end of the processing table is rotatably connected with a winding frame. First conveying rollers are rotationally connected between the cloth unwinding frame and the processing table, a first tensioning roller is rotationally connected between the first conveying rollers, and a spraying frame is connected to the surface of the processing table through bolts. According to the improved film laminating device, the limiting pieces sleeving the outer walls of the first conveying roller and the second conveying roller are matched with the scales on the surfaces of the roller bodies, the edges can be accurately positioned according to material specifications, material deviation is effectively avoided, and it is ensured that the positions of materials are accurate in the whole process from unwinding to winding; the cloth unwinding frame, the protective film unwinding frame and the winding frame are connected with the driving disc and the driven disc conveniently through the sleeving shaft, no complex tool is needed, the downtime is greatly shortened, and the production efficiency is improved.

To provide a synthetic resin canvas (and a method for producing the same) having cotton canvas appearance, stable in balance of warp and weft dimensions, and hardly causing dimensional change.SOLUTION: A synthetic-resin canvas having a mass of 360 to 800g / m2, the synthetic-resin canvas being obtained by providing a soft vinyl chloride-resin-impregnated coating layer on an entire surface of a fabric, wherein the fabric is a plain weave fabric, a twill weave fabric, or a satin weave fabric, and a 10% tensile stress in a widthwise direction of the synthetic-resin canvas is 90 to 110% of a 10% tensile stress in a processing direction. Especially, the fabric is composed of a short fiber spun yarn, a combination of a short fiber spun yarn and a long fiber multifilament bulky yarn, or a long fiber multifilament bulky yarn, and the difference between the total fineness per inch (dtex / inch) of the weft yarn group and the total fineness per inch (dtex / inch) of the warp yarn group is within ± 10%.SELECTED DRAWING: None

The invention discloses a green ecological energy-saving irrigation roof system and a using method thereof, and relates to the technical field of building roofs. A green ecological energy-saving irrigation roof system comprises a root blocking waterproof layer, a blind ditch structure layer, a non-woven fabric filter layer, a planting layer and a vegetation layer which are arranged on a roof from bottom to top, a rainwater collecting device is arranged in the blind ditch structure layer, an irrigation device is arranged on the planting layer, the rainwater collecting device is communicated with a water storage tank, and the water storage tank is communicated with the irrigation device through a water suction pump; a soil humidity sensor is arranged in the planting layer, the soil humidity sensor and the water suction pump are both connected with the controller, and the solar power supply device is used for supplying power to the water suction pump, the soil humidity sensor and the controller. The solar power supply device is arranged on the roof and used for supplying power to electric equipment in the whole roof system, power supply depending on mains supply is avoided, near-zero-energy-consumption operation is achieved, the building capacity and energy consumption self-balance requirements are met, and the purposes of environment friendliness and energy conservation are achieved.

The invention belongs to the technical field of functional finishing of textiles, and particularly relates to microcapsule emulsion with a pH indicating function, preparation of the microcapsule emulsion and application of the microcapsule emulsion in a textile finishing agent. The invention provides a preparation method of a microcapsule emulsion with a pH indication function, which comprises the following steps: reacting isocyanate with polyol to obtain a polyurethane prepolymer, mixing and dissolving the polyurethane prepolymer with a pH indicator solution, an acrylate monomer and an initiator to obtain an oil phase, and taking an aqueous solution of a polymer emulsifier as a water phase; then mixing and emulsifying the oil phase and the water phase, adding a chain extender, heating to carry out chain extension reaction, cross-linking to a certain degree to form a polyurethane-polyurea-polyacrylate hybrid shell layer on an oil-water interface, and coating a core material pH indicator to obtain the microcapsule emulsion with the pH indication function. According to the invention, the pH indicator is coated in the form of microcapsules for the first time, and industrial production and processing can be carried out.

The invention relates to a spunlace non-woven fabric dehumidification device, a control method and system thereof and a storage medium, and relates to the technical field of spunlace non-woven fabric dehumidification. The method comprises the steps that in response to a starting signal of a spunlace system, a centrifugal fan is controlled to work at preset power; a water vapor inlet pipe is controlled to be opened at an inlet through which water vapor enters, under the negative pressure effect of a centrifugal fan, the water vapor is introduced into a water vapor separation barrel for separation operation, primarily-separated water vapor and adsorbed water are obtained, and the relative difference value between the water vapor concentration in the primarily-separated water vapor and a preset upper limit concentration threshold value is obtained; the rotation direction and the rotation speed of the spiral blade are determined according to the relative difference value, and the rotation direction comprises clockwise rotation and anticlockwise rotation; and controlling the spiral blade to rotate according to the rotating speed and the rotating direction. The water vapor recovery device has the effect that the damage probability of the centrifugal fan is reduced while water vapor is recovered.

A 3-D honeycomb textile can include a textured yarn. The textile can exhibit a heat-shrinkage rate from about 10% to about 60%. The textile can be configured to reversibly change its dimensions under application of stress. Prosthetic valves can have the disclosed textiles as a sealing member. Additionally, prosthetic valves can the disclosed textiles as cushion materials. In addition, methods of making the disclosed textiles and prosthetic valves are described.

The invention relates to the technical field of automatic quality inspection of textiles, in particular to a flexible textile quality inspection system and device based on deep learning. The quality inspection system provided by the invention comprises a detection module which collects data and applies the data to machine training and machine quality inspection, a reasoning module which is in communication connection with the detection module and performs reasoning judgment by using the data collected by the detection module and determines a defect type, and a verification module which manually samples and rechecks a reasoning judgment result of the reasoning module, and the learning module feeds back a manual sampling rechecking result of the checking module to the reasoning module for optimization training learning. The multi-modal sensing and deep learning reasoning module is utilized to realize efficient automatic identification of multiple types of defects on the surface and in the fabric, the detection precision is improved, the missing detection rate and the false detection rate are remarkably reduced, and dynamic optimization of the model is realized through man-machine collaborative sampling inspection of the verification module and in combination with feedback correction and a continuous self-learning mechanism of the learning module. And the system detection capability is continuously improved along with use.

A shoe or other footwear has a non-removable multi-layer foot-support member (FSM) embedded within the sole. The uppermost layer is a breathable, stretchable textile configured for direct contact with the foot, offering softness and elasticity. Directly beneath it is a containment layer made of elastic fabric partially infused or impregnated with silicone, which stabilizes and restrains the granular contents below. The central layer includes one or two or three sealed chambers filled with a cured mixture of silicone and polymeric granules, forming a deformable medium that yields under pressure and mimics natural granular terrain or sand. Beneath this is a synthetic textile layer that restricts lateral expansion of the granular mixture, and preserves chamber geometry during use. The bottom component is a semi-rigid base that structurally supports and anchors all overlying layers.

The invention discloses a textile drying device for textile processing, and relates to the technical field of textile drying. The device comprises a supporting frame, and a first frame body and a second frame body which are matched for use are fixedly mounted at the top end of the supporting frame; through cooperative use of the water removal mechanism and the treatment mechanism, a first extrusion roller and a second extrusion roller can be driven to synchronously rotate reversely, so that wastewater adsorbed in the to-be-dried textile can be extruded and discharged; in addition, external cold air can be continuously sucked into the second frame body after being filtered, the sucked air is heated and then guided to the to-be-dried textile subjected to extrusion and drainage, then the textile subjected to extrusion and drainage can be rapidly dried, and therefore the drying efficiency of the textile is effectively improved. And the continuously sucked external cold air can cool the dried textile, so that the phenomenon that the textile is damaged due to heat accumulation caused by overheating and winding of the dried textile can be avoided.

The invention relates to a pesticide residue detection test strip as well as a preparation method and application thereof, in particular to a rapid detection technology based on an enzyme inhibition method and a chitosan non-woven fabric carrier. The test strip can specifically detect organophosphorus and carbamate pesticides such as trichlorfon, malathion and phoxim through the enzyme activity inhibition principle, the detection limit of the pesticides such as phoxim is as low as 0.1 mg / kg, the developing intensity is in negative correlation with the pesticide concentration, and semi-quantitative judgment can be achieved. The preparation process is simple, the chitosan non-woven fabric is adopted as a fixed carrier, the material is environment-friendly and degradable, the enzyme activity recovery rate reaches 90%, the stability is excellent (the enzyme activity recovery rate can be preserved for 60 days at the temperature of 4 DEG C in a dark place), sample pretreatment is not needed in detection operation, a result can be obtained at the normal temperature for 15 min, the stability and repeatability are good, and the problems that a traditional instrument is high in detection cost and long in time consumption are solved; the method has a remarkable basic popularization value.

The invention discloses a lasting aromatic lyocell fiber of a biological enzyme immobilized temperature-sensitive microcapsule and a preparation method of the lasting aromatic lyocell fiber, and relates to the technical field of polyester fabrics. The method comprises the steps that firstly, a temperature-sensitive microcapsule of a three-layer structure is prepared, an inner core contains aromatic substances of lavender essential oil, ambrota ether and rosin glycerin ester, a middle layer enables N-isopropylacrylamide monomers to be polymerized to form PNIPAM temperature-sensitive hydrogel, and a shell is a nanocellulose crystal-polydopamine compound; then spinning by taking the NMMO aqueous solution containing the microcapsules as an inner layer solution and taking the NMMO aqueous solution containing the eucalyptus pulp as an outer layer solution by adopting a coaxial micro-fluidic spinning technology; and finally carrying out crosslinking treatment through a biological enzyme coagulating bath, wherein the coagulating bath contains an NMMO aqueous solution, horse radish peroxidase and a hydrogen peroxide solution with gradient concentration. The aromatic lyocell fiber prepared by the invention has excellent temperature-sensitive aroma release performance and washing fastness, and solves the technical problems that microcapsules in traditional aromatic textiles are easy to break and fall off and aromatic substances are easy to volatilize.

The invention provides a textile defect detection method and device, and the method comprises the steps: inputting a detection image of a textile into a preset appearance detection model, the preset appearance detection model comprises a plurality of encoders and decoders, and the decoders comprise a plurality of expansion convolution branches; converting the detection image into an activation probability feature, a first cooperation feature and a second cooperation feature based on a plurality of encoders; in the decoder, channel shuffling and segmentation are carried out on the activation probability feature, the first cooperation feature and the second cooperation feature to obtain a first sensing feature, expansion convolution is carried out on the first sensing feature through a plurality of expansion convolution branches to obtain a second sensing feature, and the second sensing feature is spliced to obtain a flaw detection result.

The invention discloses a method for rapidly adsorbing heavy metal ions by a sulfydryl-functionalized non-woven fabric, relates to preparation of the sulfydryl-functionalized non-woven fabric and heavy metal adsorption application, and belongs to the technical field of functional materials and environmental protection. A catechol derivative, an oxidizing agent, a sulfur-containing coupling agent and the like are prepared into a reaction solution according to a certain proportion, then the non-woven fabric is immersed into the reaction solution for surface modification, the sulfydryl-functionalized non-woven fabric is prepared through reduction, and finally the sulfydryl-functionalized non-woven fabric is applied to adsorption and removal of heavy metal ions in water. The method has the advantages of being mild in condition, high in reaction speed and short in preparation period, the operation process is simple, universality is achieved, and the prepared functional material has the advantages of being good in heavy metal ion adsorption effect, good in functional modification layer stability and the like.

The invention provides an antibacterial hydrophilic polyester staple fiber and a preparation method thereof, and relates to the technical field of new textile materials, the antibacterial hydrophilic polyester staple fiber takes 1.56 dtex * 38mm polyester staple fiber as a basic specification, a melt direct spinning online adding technology is adopted, 2% of composite functional master batch is accurately added into a polyester melt, and the antibacterial hydrophilic polyester staple fiber is prepared. The master batch comprises a quaternary ammonium salt organic antibacterial agent and a hydrophilic modified polyester carrier grafted with polyethylene glycol (PEG), and spinning through a cross-shaped special-shaped spinneret plate, and combining with an optimized post-spinning process. The fiber has lasting antibacterial property and self-hydrophilic property, can meet the production requirements of high-end spunlace non-woven fabrics without after-treatment, and is particularly suitable for the fields of medical protection, health care and the like.