Abstract: A natural fiber felt is provided, which is a film formed by processes of binding a natural fiber net with a binder, extruding, drying and shaping the natural fiber net. A surface of the film is coated with a waterproof layer. The foam binder is formed by combining modified starch serving as a binder and urea serving as a foaming agent with water. A water-repellent agent fruit wax emulsion is employed to form the waterproof layer. The natural fiber net is carded by a carding machine at one time, and the foam binder is sprayed onto the natural fiber net to bind the natural fiber net so as to form the film. The product has characteristics of ultra-thinness and high strength with good performances on heat preservation, moisturizing ability, waterproof and air permeability.

Abstract: The present disclosure relates generally to roofing products, for example, suitable for use covering and protecting the roofs of structures. The present disclosure relates more particularly to a roofing product including an upper section and an exposed section. The roofing product includes a substrate having a top surface and a bottom surface, and a plurality of zones of roofing granules disposed on the top surface of the substrate. The plurality of zones includes first, second and third zones within the exposed section. The first zone includes a first collection of algae-resistant roofing granules and has a first algae-resistance intensity. The second zone includes a second collection of algae-resistant roofing granules and has a second algae-resistance intensity. The third zone has a third algae-resistance intensity that is different from the first algae-resistance intensity.

Abstract: A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. Various embodiments are operable to receive a plurality of keywords to be trafficked on a search engine, and automatically select at least one of the plurality of keywords to be omitted from trafficking on the search engine based on pruning criteria. In some example embodiments, the automatically selecting comprises for each one of the selected at least one of the plurality of keywords, determining a corresponding confidence level with which a corresponding predicted value of the keyword(s) is expected to satisfy the pruning criteria, with the automatic selection of each one of the selected at least one of the plurality of keywords being based on the corresponding confidence level and a configurable confidence level threshold.

Abstract: The invention relates to a preparation method of green nylon poly butyrolactams, the biological materials of GABA in vacuum under the condition of high temperature melt decomposition and purified butyrolactams, then by vacuum polymerization of green nylon poly butyrolactams. Compared with the prior art, the invention is prepared by biological method for the synthesis of a wide range of sources, to solve the problem of raw material supply PA4 for mass production, reduce the cost of reaction, and the reaction condition is simple, easy to implement simplified synthesis steps, from the laboratory to the transformation of industrial production.

Abstract: A system and method for providing automatic high-value listing feeds for online computer users is disclosed. A particular embodiment includes obtaining publisher information corresponding to a plurality of publisher content items from a plurality of publisher sites; obtaining merchant information including value information corresponding to the plurality of publisher content items; using a processor, the publisher information, and the merchant information to generate a set of high-value feeds for transfer to the plurality of publisher sites, the set of high-value feeds each being ranked corresponding to a quality score computed for each listing item of each high-value feed; and transferring the set of high-value feeds to corresponding publisher sites of the plurality of publisher sites.

Abstract: Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.

Abstract: Provided are methods and compositions for inhibiting carbonyl based fouling materials of basic wash systems. Said methods comprise contacting the hydrocarbon stream that is or will be subjected to said wash systems with water soluble or water dispersible copolymers. Said copolymers comprise repeat units of ethylenically unsaturated monomers such as acrylic acid with other repeat units such as alkyl acrylates, allyl ethers, ethoxylated allyl repeat units, etc. In other embodiments, a third repeat unit is present and may comprise a hydrophobic moiety such as a styrene repeat unit.

Abstract: The invention relates to a preparation method of green nylon poly butyrolactams, the biological materials of GABA in vacuum under the condition of high temperature melt decomposition and purified butyrolactams, then by vacuum polymerization of green nylon poly butyrolactams. Compared with the prior art, the invention is prepared by biological method for the synthesis of a wide range of sources, to solve the problem of raw material supply PA4 for mass production, reduce the cost of reaction, and the reaction condition is simple, easy to implement simplified synthesis steps, from the laboratory to the transformation of industrial production.

Abstract: A natural fiber felt is provided, which is a film formed by processes of binding a natural fiber net with a binder, extruding, drying and shaping the natural fiber net. A surface of the film is coated with a waterproof layer. The foam binder is formed by combining modified starch serving as a binder and urea serving as a foaming agent with water. A water-repellent agent fruit wax emulsion is employed to form the waterproof layer. The natural fiber net is carded by a carding machine at one time, and the foam binder is sprayed onto the natural fiber net to bind the natural fiber net so as to form the film. The product has characteristics of ultra-thinness and high strength with good performances on heat preservation, moisturizing ability, waterproof and air permeability.

Abstract: A computer-implemented method and system for combining keywords into logical clusters that share a similar behavior with respect to a considered dimension are disclosed. Various embodiments are operable to order a list of keywords from high activity to low activity, partition the list into at least two sets, a head partition including keywords with an activity level above a predefined threshold, a tail partition including the remainder of the keywords in the list, model the keywords in the head partition based on a set of variables, score the keywords in the head partition based on the modeling, and cluster head partition keywords with tail partition keywords having at least one common variable into at least one keyword cluster.

Abstract: A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. Various embodiments are operable to receive a plurality of keywords to be trafficked on a search engine, and automatically select at least one of the plurality of keywords to be omitted from trafficking on the search engine based on pruning criteria. In some example embodiments, the automatically selecting comprises for each one of the selected at least one of the plurality of keywords, determining a corresponding confidence level with which a corresponding predicted value of the keyword(s) is expected to satisfy the pruning criteria, with the automatic selection of each one of the selected at least one of the plurality of keywords being based on the corresponding confidence level and a configurable confidence level threshold.

Abstract: A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. In some embodiments, a report is generated comprising selected keywords and a corresponding value for each selected keywords, with the corresponding value being based on the corresponding keyword being omitted from trafficking on a search engine, and at least a portion of the selected keywords are removed from being trafficked on the search engine based on the selection of the keywords to be omitted, with the removing of the at least a portion of the selected keywords being performed in response to a user input corresponding to the report, the user input being used to determine the at least a portion of the selected keywords to be omitted.

Abstract: A system and method for providing automatic high-value listing feeds for online computer users is disclosed. A particular embodiment includes obtaining publisher information corresponding to a plurality of publisher content items from a plurality of publisher sites; obtaining merchant information including value information corresponding to the plurality of publisher content items; using a processor, the publisher information, and the merchant information to generate a set of high-value feeds for transfer to the plurality of publisher sites, the set of high-value feeds each being ranked corresponding to a quality score computed for each listing item of each high-value feed; and transferring the set of high-value feeds to corresponding publisher sites of the plurality of publisher sites.

Abstract: A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. Various embodiments are operable to normalize a plurality of keywords received from a source, filter the normalized plurality of keywords against one or more keyword filtration lists, produce site-specific variants of the filtered plurality of keywords, associate at least one level of dimension data with each of the plurality of keywords, and store the processed plurality of keywords and dimension data in a keyword database.

Abstract: A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. Various embodiments are operable to normalize a plurality of keywords received from a source, filter the normalized plurality of keywords against one or more keyword filtration lists, produce site-specific variants of the filtered plurality of keywords, associate at least one level of dimension data with each of the plurality of keywords, and store the processed plurality of keywords and dimension data in a keyword database.

Abstract: A computer-implemented method and system for combining keywords into logical clusters that share a similar behavior with respect to a considered dimension are disclosed. Various embodiments are operable to order a list of keywords from high activity to low activity, partition the list into at least two sets, a head partition including keywords with an activity level above a predefined threshold, a tail partition including the remainder of the keywords in the list, model the keywords in the head partition based on a set of variables, score the keywords in the head partition based on the modeling, and cluster head partition keywords with tail partition keywords having at least one common variable into at least one keyword cluster.

Abstract: The present invention concerns a method of detecting cationic polymers comprising: obtaining a target water sample containing a cationic polymer; adding a polymer dispersant solution and a phosphate solution to the target water sample, the polymer dispersant solution is comprised of a polymer dispersant with calcium and magnesium hardness and the phosphate solution is comprised of a phosphate; standing the target water sample; and measuring the turbidity of the target water sample; comparing the turbidity of said target water sample with a calibration curve of the turbidity of samples containing known concentrations of cationic polymers to determine the concentration of cationic polymers in said target water sample.

Abstract: A computer-implemented method and system for combining keywords into logical clusters that share a similar behavior with respect to a considered dimension are disclosed. Various embodiments are operable to order a list of keywords from high activity to low activity, partition the list into at least two sets, a head partition including keywords with an activity level above a predefined threshold, a tail partition including the remainder of the keywords in the list, model the keywords in the head partition based on a set of variables, score the keywords in the head partition based on the modeling, and cluster head partition keywords with tail partition keywords having at least one common variable into at least one keyword cluster.

Abstract: The present invention concerns a method of detecting cationic polymers comprising: obtaining a target water sample containing a cationic polymer; adding a polymer dispersant solution and a phosphate solution to the target water sample, the polymer dispersant solution is comprised of a polymer dispersant with calcium and magnesium hardness and the phosphate solution is comprised of a phosphate; standing the target water sample; and measuring the turbidity of the target water sample; comparing the turbidity of said target water sample with a calibration curve of the turbidity of samples containing known concentrations of cationic polymers to determine the concentration of cationic polymers in said target water sample.

Abstract: A computer-implemented method and system for enabling the automated selection of keywords for rapid keyword portfolio expansion are disclosed. Various embodiments are operable to normalize a plurality of keywords received from a source, filter the normalized plurality of keywords against one or more keyword filtration lists, produce site-specific variants of the filtered plurality of keywords, associate at least one level of dimension data with each of the plurality of keywords, and store the processed plurality of keywords and dimension data in a keyword database.