Abstract: A method of formulating novel humic material is disclosed comprising mixing one or more portions of Dimethylphenylpiperazinium (DMPP) with one or more portions of N-(N-butyl) thiophosphoric triamide (NBPT) with one or more portions of Isobutylidene-diurea (IBDU) with one or more portions of Polyaspartic Acid with one or more portions of Chitosan and a portion of Mycorrhizae and Rhizobia to form a portion of biostimulant material; obtaining a portion of seaweed harvest and crushing and drying said portion of seaweed to form a portion of seaweed powder; Obtaining a portion of leonardite and crushing said portion of leonardite to form a portion of humic raw material; mixing one or more portion of animal manure with one or more portion of stover with one or more portion of organic waste to form a portion of compositing mix and composting said compositing mix to form a portion of composted material; obtaining a portion of plant waste and subjecting said portion of plant waste through an anaerobic combustion to for

Abstract: The present disclosure is directed to a frame assembly. The frame assembly includes, for example, a bottom support structure, a handle housing coupled to the bottom support structure, a holder coupled to the handle housing, and a diagonal support structure diagonally positioned and coupled to the handle housing via the holder. The handle housing, the holder, and the diagonal support structure together form an integrated structure.

Abstract: Methods and systems for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data comprises mask designs. A convolutional autoencoder encodes the set of shape data, where the encoding compresses the set of shape data to produce a set of encoded shape data. The convolutional autoencoder is tuned for increased accuracy of the set of encoded shape data based on design rules for the set of electronic designs. The convolutional autoencoder comprises a set of parameters comprising weights, and the convolutional autoencoder has been trained to retain important information needed, based on the design rules for the set of electronic designs.

Abstract: Methods for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data comprises mask designs. A convolutional autoencoder encodes the set of shape data, where the encoding compresses the set of shape data to produce a set of encoded shape data. The convolutional autoencoder is tuned for increased accuracy of the set of encoded shape data based on design rules for the set of shape data. The convolutional autoencoder comprises a set of parameters comprising weights, and the convolutional autoencoder has been trained to determine what information to keep based on the weights.

Abstract: Luggage or apparatus for carrying items where a frame member collapses to allow the front to collapse toward the back to reduce the volume of the apparatus for shipping or storage. The frame member may extend: across the left side, along the bottom, from the left side to the right side, across the right side, from the back to the front, or a combination thereof. The bottom may include a folding bottom board attached with a fabric hinge. Shoulder straps may be stored in a front compartment to carry the apparatus as a backpack.

Abstract: A method of formulating novel humic material is disclosed comprising mixing one or more portions of Dimethylphenylpiperazinium (DMPP) with one or more portions of N—(N-butyl) thiophosphoric triamide (NBPT) with one or more portions of Isobutylidene-diurea (IBDU) with one or more portions of Polyaspartic Acid with one or more portions of Chitosan and a portion of Mycorrhizae and Rhizobia to form a portion of biostimulant material; obtaining a portion of seaweed harvest and crushing and drying said portion of seaweed to form a portion of seaweed powder; Obtaining a portion of leonardite and crushing said portion of leonardite to form a portion of humic raw material; mixing one or more portion of animal manure with one or more portion of stover with one or more portion of organic waste to form a portion of compositing mix and composting said compositing mix to form a portion of composted product; obtaining a portion of plant waste and subjecting said portion of plant waste through an anaerobic combustion to form

Abstract: A device comprises a syringe and a body carrying the syringe and comprising one or more of an action figure, a miniaturized version of a useful article, a fanciful version of a useful article, a playful or fanciful other object, or the like.

Abstract: A method of formulating novel humic material is disclosed comprising mixing one or more portions of Dimethylphenylpiperazinium (DMPP) with one or more portions of N—(N-butyl) thiophosphoric triamide (NBPT) with one or more portions of Isobutylidene-diurea (IBDU) with one or more portions of Polyaspartic Acid with one or more portions of Chitosan and a portion of Mycorrhizae and Rhizobia to form a portion of biostimulant material; obtaining a portion of seaweed harvest and crushing and drying said portion of seaweed to form a portion of seaweed powder; Obtaining a portion of leonardite and crushing said portion of leonardite to form a portion of humic raw material; mixing one or more portion of animal manure with one or more portion of stover with one or more portion of organic waste to form a portion of compositing mix and composting said compositing mix to form a portion of composted product; obtaining a portion of plant waste and subjecting said portion of plant waste through an anaerobic combustion to form

Abstract: Wear resistant articles are described herein which, in some embodiments, mitigate CTE differences between wear resistant components and metallic substrates. In one aspect, an article comprises a layer of sintered cemented carbide bonded to a layer of iron-based alloy via a metal-matrix composite bonding layer, wherein coefficients of thermal expansion (CTE) of the sintered cemented carbide layer, metal matrix composite bonding layer, and iron-based alloy layer satisfy the relation: x = ( ? C ? ? T ? ? E ? ? WC - C ? ? T ? ? E ? ? M ? ? M ? ? C ? ) ( ? C ? ? T ? ? E ? ? M ? ? M ? ? C - C ? ? T ? ? E ? ? Fe ? ) wherein 0.5?x?2 and CTE WC, CTE MMC and CTE Fe are the CTE values for the sintered cemented carbide, metal matrix composite, and iron-based alloy in 1/K respectively at 900° C. to 1100° C.

Abstract: The present disclosure is directed to a frame assembly. The frame assembly includes, for example, a bottom support structure, a handle housing coupled to the bottom support structure, a holder coupled to the handle housing, and a diagonal support structure diagonally positioned and coupled to the handle housing via the holder. The handle housing, the holder, and the diagonal support structure together form an integrated structure.

Abstract: Methods for fracturing or mask data preparation are disclosed in which a set of single-beam charged particle beam shots is input; a calculated image is calculated using a neural network, from the set of single-beam charged particle beam shots; and a set of multi-beam shots is generated based on the calculated image, to convert the set of single-beam charged particle beam shots to the set of multi-beam shots which will produce a surface image on the surface. Methods for training a neural network include inputting a set of single-beam charged particle beam shots; calculating a set of calculated images using the set of single-beam charged particle beam shots; and training the neural network with the set of calculated images.

Abstract: Methods for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data comprises mask designs. A convolutional autoencoder encodes the set of shape data, where the encoding compresses the set of shape data to produce a set of encoded shape data. The convolutional autoencoder is tuned for increased accuracy of the set of encoded shape data based on design rules for the set of shape data. The convolutional autoencoder comprises a set of parameters comprising weights, and the convolutional autoencoder has been trained to determine what information to keep based on the weights.

Abstract: In one aspect, methods of making freestanding metal matrix composite articles and alloy articles are described. A method of making a freestanding composite article described herein comprises disposing over a surface of the temporary substrate a layered assembly comprising a layer of infiltration metal or alloy and a hard particle layer formed of a flexible sheet comprising organic binder and the hard particles. The layered assembly is heated to infiltrate the hard particle layer with metal or alloy providing a metal matrix composite, and the metal matrix composite is separated from the temporary substrate. Further, a method of making a freestanding alloy article described herein comprises disposing over the surface of a temporary substrate a flexible sheet comprising organic binder and powder alloy and heating the sheet to provide a sintered alloy article. The sintered alloy article is then separated from the temporary substrate.

Abstract: Luggage or apparatus for carrying items where a frame member collapses to allow the front to collapse toward the back to reduce the volume of the apparatus for shipping or storage. The frame member may extend: across the left side, along the bottom, from the left side to the right side, across the right side, from the back to the front, or a combination thereof. The bottom may include a folding bottom board attached with a fabric hinge. Shoulder straps may be stored in a front compartment to carry the apparatus as a backpack.

Abstract: Methods for compressing shape data for a set of electronic designs include inputting a set of shape data, where the shape data represents a set of shapes for a device fabrication process. A convolutional autoencoder is used on the set of shape data, the convolutional autoencoder having a pre-determined set of convolution layers including a kernel size and filter size for each convolution layer. The set of shape data is encoded to compress the set of shape data, using the pre-determined set of convolution layers of the convolutional autoencoder, to create a set of encoded shape data. The set of shape data comprises an SEM image, and the encoded set of shape data identifies a mask defect.

Abstract: A device comprises a syringe and a body carrying the syringe and comprising one or more of an action figure, a miniaturized version of a useful article, a fanciful version of a useful article, a playful or fanciful other object, or the like.

Abstract: Wear resistant articles are described herein which, in some embodiments, mitigate CTE differences between wear resistant components and metallic substrates. In one aspect, an article comprises a layer of sintered cemented carbide bonded to a layer of iron-based alloy via a metal-matrix composite bonding layer, wherein coefficients of thermal expansion (CTE) of the sintered cemented carbide layer, metal matrix composite bonding layer, and iron-based alloy layer satisfy the relation: x = ( ? C ? ? T ? ? E ? ? WC - C ? ? T ? ? E ? ? M ? ? M ? ? C ? ) ( ? C ? ? T ? ? E ? ? M ? ? M ? ? C - C ? ? T ? ? E ? ? Fe ? ) wherein 0.5?x?2 and CTE WC, CTE MMC and CTE Fe are the CTE values for the sintered cemented carbide, metal matrix composite, and iron-based alloy in 1/K respectively at 900° C. to 1100° C.

Abstract: Powder alloy compositions and associated additive manufacturing techniques are described herein for production of sintered articles with unique microstructure and/or enhanced wear and corrosion resistance. In some embodiments, an article comprises sintered powder cobalt-based alloy having metal carbide precipitates dispersed in a cobalt solid solution matrix phase, wherein the metal carbide precipitates are present in an amount of at least 50 weight percent of the sintered powder cobalt-based alloy.

Abstract: A method of formulating novel humic material is disclosed comprising mixing one or more portions of Dimethylphenylpiperazinium (DMPP) with one or more portions of N—(N-butyl) thiophosphoric triamide (NBPT) with one or more portions of Isobutylidene-diurea (IBDU) with one or more portions of Polyaspartic Acid with one or more portions of Chitosan and a portion of Mycorrhizae and Rhizobia to form a portion of biostimulant material; obtaining a portion of seaweed harvest and crushing and drying said portion of seaweed to form a portion of seaweed powder; Obtaining a portion of leonardite and crushing said portion of leonardite to form a portion of humic raw material; mixing one or more portion of animal manure with one or more portion of stover with one or more portion of organic waste to form a portion of compositing mix and composting said compositing mix to form a portion of composted product; obtaining a portion of plant waste and subjecting said portion of plant waste through an anaerobic combustion to form