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85 results about "Size selective" patented technology

Dendritic Polymers With Enhanced Amplification and Interior Functionality

Dendritic polymers with enhanced amplification and interior functionality are disclosed. These dendritic polymers are made by use of fast, reactive ring-opening chemistry (or other fast reactions) combined with the use of branch cell reagents in a controlled way to rapidly and precisely build dendritic structures, generation by generation, with cleaner chemistry, often single products, lower excesses of reagents, lower levels of dilution, higher capacity method, more easily scaled to commercial dimensions, new ranges of materials, and lower cost. The dendritic compositions prepared have novel internal functionality, greater stability (e.g., thermal stability and less or no reverse Michael's reaction), and reach encapsulation surface densities at lower generations. Unexpectedly, these reactions of polyfunctional branch cell reagents with polyfunctional cores do not create cross-linked materials. Such dendritic polymers are useful as demulsifiers for oil/water emulsions, wet strength agents in the manufacture of paper, proton scavengers, polymers, nanoscale monomers, calibration standards for electron microscopy, making size selective membranes, and agents for modifying viscosity in aqueous formulations such as paint. When these dendritic polymers have a carried material associated with their surface and/or interior, then these dendritic polymers have additional properties for carrying materials due to the unique characteristics of the dendritic polymer, such as for drug delivery, transfection, and diagnostics.
Owner:DENDRITIC NANO TECH INC

Dendritic polymers with enhanced amplification and interior functionality

Dendritic polymers with enhanced amplification and interior functionality are disclosed. These dendritic polymers are made by use of fast, reactive ring-opening chemistry (or other fast reactions) combined with the use of branch cell reagents in a controlled way to rapidly and precisely build dendritic structures, generation by generation, with cleaner chemistry, often single products, lower excesses of reagents, lower levels of dilution, higher capacity method, more easily scaled to commercial dimensions, new ranges of materials, and lower cost. The dendritic compositions prepared have novel internal functionality, greater stability (e.g., thermal stability and less or no reverse Michael's reaction), and reach encapsulation surface densities at lower generations. Unexpectedly, these reactions of polyfunctional branch cell reagents with polyfunctional cores do not create cross-linked materials. Such dendritic polymers are useful as demulsifiers for oil / water emulsions, wet strength agents in the manufacture of paper, proton scavengers, polymers, nanoscale monomers, calibration standards for electron microscopy, making size selective membranes, and agents for modifying viscosity in aqueous formulations such as paint. When these dendritic polymers have a carried material associated with their surface and / or interior, then these dendritic polymers have additional properties for carrying materials due to the unique characteristics of the dendritic polymer, such as for drug delivery, transfection, and diagnostics.
Owner:DENDRITIC NANO TECH INC

Systems and methods scaling a captured image using predetermined scale information

Conventionally, text boxes are used to inform an image capture device of the size of an area to which a captured image will need to be scaled, when fitting the captured image into that area of the composite document. In contrast, size selection systems, methods and graphical user interfaces allow the user to select one of a number of predetermined sets of scale dimensions that the captured image is to be scaled to. The size selection systems, methods and graphical user interfaces provide an alternative method for specifying the dimensions that a captured image is to be scaled to. In various exemplary embodiments of the size selection systems, methods and graphical user interfaces, an image size tab of a graphical user interface for an image capture driver includes a scale portion. The scale portion, in addition to having a number of dimension boxes that allow the user to directly input the desired dimensions to which the captured image is to be scaled, also includes a dimension list box. The dimension list box includes predetermined sets of dimensions to which the captured image can be scaled. In various exemplary embodiments, the dimensions list box includes, as the predetermined sets, sets of dimensions for common paper sizes and sets of dimensions for different paper orientations. The predetermined sets of dimensions can also include sets of user-defined dimensions. These user-defined dimensions allow the user to specify the dimensions of an image area of a document that is often used.
Owner:XEROX CORP

Prediction system and method based on insect body filtration and insect quantity and variety recognition

The invention discloses a prediction system and method based on insect body filtration and insect quantity and variety recognition, and belongs to the technical fields of agriculture and forestry plant protection and insect condition monitoring. Aiming at the problems of indefiniteness of target insect bodies to be trapped and killed, inaccurate recognition and quantity prediction caused by insect body stacking, inconvenient disassembly and assembly of equipment and complex maintenance in the prior art, the main purpose of the invention is to provide an insect condition prediction device and method. The insect condition prediction device is characterized in that an insect body filter screen cover is arranged at the outer side of an impact plate or is arranged below a trap lamp tube and above an insect receiving hopper; an insect receiving bag has a function of scattering, separating and dropping insects; the insect bodies are transported and photographed through timing control of the movement of a conveyer belt; and finally, all the insect bodies fall into an insect storage bin or even are directly discharged to the outside of the machine. According to the invention, the insect body selective trap and kill and big insect size selective filtration can be made possible; uploaded pictures can have the favorable effects of clear insect body characteristics and a very low overlapping ratio; and meanwhile, the cleanliness inside the device can be kept, thereby effectively reducing the output of extra manpower.
Owner:ZHEJIANG TUOPUYUN AGRI SCI & TECH CO LTD

Preparation method for mesoporous compound film

ActiveCN106731886AMesopore size is continuously adjustableUnique mesopore sizeSemi-permeable membranesOther chemical processesPolyethylene oxideUltrafiltration
The invention provides a preparation method for a mesoporous compound film. The method comprises the following steps: triggering the alcoholysis reaction of a precursor compound and a structure-directing agent in ethyl alcohol, thereby obtaining a sol; performing surface treatment on a porous film and soaking in the sol; airing the soaked porous film under a room temperature condition and completing a sol-gelling process; cleaning and drying, thereby obtaining the mesoporous compound film. According to the invention, a polyethylene oxide-polypropylene oxide-polyethylene oxide triblock copolymer, cetyl trimethyl ammonium bromide or lauryl sodium sulfate is taken as the structure-directing agent, so that the mesoporous size of the prepared mesoporous compound film can be continuously adjusted. The mesoporous compound film prepared according to the invention has a unique mesoporous structure; due to the organic solvent resistance and special porous structure or the capability of further modifying the mesoporous of the compound film, the mesoporous compound film can be applied to the separating purification fields of selective molecule transferring in the solution, the size selective ion transferring and ultrafiltration on a separating and liquid/liquid interface, and the like; the preparation process is simple; the method is environment-friendly.
Owner:SHENZHEN SENIOR TECH MATERIAL

Redox-Flow Batteries Employing Oligomeric Organic Active Materials and Size-Selective Microporous Polymer Membranes

Intermittent energy sources, including solar and wind, require scalable, low-cost, multi-hour energy storage solutions to be effectively incorporated into the grid. Redox-flow batteries offer a solution, but suffer from rapid capacity fade and low Coulombic efficiency due to the high permeability of redox-active species across the battery's membrane. Here we show that active-species crossover can be arrested by scaling the membrane's pore size to molecular dimensions and in turn increasing the size of the active material to be above the membrane's pore-size exclusion limit. When oligomeric redox-active organic molecules were paired with microporous polymer membranes, the rate of active-material crossover was either completely blocked or slowed more than 9,000-fold compared to traditional separators at minimal cost to ionic conductivity. In the case of the latter, this corresponds to an absolute rate of ROM crossover of less than 3 μmol cm−2 day−1 (for a 1.0 M concentration gradient), which exceeds performance targets recently set forth by the battery industry. This strategy was generalizable to both high and low-potential ROMs in a variety of electrolytes, highlighting the importance of macromolecular design in implementing next-generation redox-flow batteries.
Owner:THE BOARD OF TRUSTEES OF THE UNIV OF ILLINOIS +1

Method for quickly counting rice ear number of field rice by using image pyramid and Fast-RCNN

The invention discloses a field rice spike counting algorithm HW-Faster-RCNN based on an image pyramid. The field rice spike counting algorithm HW-Faster-RCNN realizes automatic counting of field riceimages with relatively small rice spike sizes and more than 50 rice spikes. Firstly, the size of a receptive field is analyzed, an appropriate feature learning network is selected, and an appropriateinput image size is calculated according to the rice spike size; secondly, an original image is cut based on the input image size range, and an image pyramid is designed and constructed to increase the relative size of rice ears; then, a mixed window data set is constructed based on the image pyramid, and a rice ear counting model is trained by using an HW-Faster-RCNN network; and finally, the to-be-tested image is segmented, the sub-images are respectively counted by using a rice spike counting model, and a damaged spike fusion algorithm is designed to remove repeated counting. The result shows that the counting accuracy of the small-size rice ears is remarkably improved by selecting the feature learning network and designing the image pyramid according to the ear sizes; the average counting accuracy and the error detection rate of the HW-Faster-RCNN are 87.23% and 4.60% respectively, and the HW-Faster-RCNN can be practically applied to automatic counting of rice ears in a complex field scene.
Owner:NANJING AGRICULTURAL UNIVERSITY
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