Abstract: A system for Magnetic Resonance Imaging (MRI) is provided. The system may obtain at least one training sample each of which includes full MRI data. The system may also obtain a preliminary subsampling model and a preliminary MRI reconstruction model. The system may further generate a subsampling model corresponding to an MRI reconstruction model by jointly training the preliminary subsampling model and the preliminary MRI reconstruction model using the at least one training sample. The subsampling model may be the trained preliminary subsampling model, and the MRI reconstruction model may be at least a portion of the trained preliminary MRI reconstruction model.

Abstract: A plant-based functional polypropylene spunbond non-woven fabric and a preparation method of the plant-based functional polypropylene spunbond non-woven fabric are provided. The plant-based functional polypropylene spunbond non-woven fabric contains a plant herb water-soluble extract in a weight percentage range of approximately 0.2%-1.5%. The plant-based functional polypropylene spunbond non-woven fabric has moisture regain in a range of approximately 0.2%-3%, a longitudinal breaking strength of approximately ?18.5 N/5 cm, a transverse breaking strength of approximately ?9.5 N/5 cm, a thickness in a range of approximately 0.2 mm-0.5 mm, a weight per unit area in a range of approximately 20 g/m2-40 g/m2, and a fiber diameter in a range of approximately 10 ?m-30 ?m.

Abstract: The disclosure relates to systems and methods for magnetic resonance imaging (MRI). A method may include obtaining k-space data associated with MR signals acquired by an MR scanner. The k-space data may corresponding to a first sampling rate. The method may also include generating one or more estimated images based on the k-space data and a target neural network model. The one or more estimated images may correspond to a second sampling rate that exceeds the first sampling rate. The method may further include determining one or more target images based on the one or more estimated images and the k-space data using a compressed sensing model. The compressed sensing model may be constructed based on the one or more estimated images.

Abstract: A chitin-modified polypropylene spunbond non-woven fabric and a preparation method of the chitin-modified polypropylene spunbond non-woven fabric are provided. The chitin-modified polypropylene spunbond non-woven fabric contains a modified chitin in a weight percentage range of approximately 0.2%-1.5%. The modified chitin includes chitin modified by a modifier including 2-hydroxybenzimidazole, cellulose acetate butyrate, and adipic acid dihydrazide. The chitin-modified polypropylene spunbond non-woven fabric has an anti-mold grade less than 1, and an antibacterial rate greater than 9.5%.

Abstract: A system for Magnetic Resonance Imaging (MRI) is provided. The system may obtain at least one training sample each of which includes full MRI data. The system may also obtain a preliminary subsampling model and a preliminary MRI reconstruction model. The system may further generate a subsampling model corresponding to an MRI reconstruction model by jointly training the preliminary subsampling model and the preliminary MRI reconstruction model using the at least one training sample. The subsampling model may be the trained preliminary subsampling model, and the MRI reconstruction model may be at least a portion of the trained preliminary MRI reconstruction model.

Abstract: The invention concerns a computer implemented method for underbalanced drilling. In one embodiment, the method includes determining a plurality of gas injection rate versus bottom hole pressure curves for a plurality of liquid injection rates for a specified minimum and maximum gas injection rate and a minimum and maximum liquid injection rate. Next, the method determines a set of four interception curves including a minimum motor equivalent liquid rate interception curve, a minimum vertical liquid velocity intercept curve, a minimum horizontal liquid velocity intercept curve, and a maximum motor equivalent liquid rate intercept curve for a specified minimum and maximum mud motor rate range and a minimum horizontal and vertical annulus velocity.

Abstract: A plant-based functional polyester filament and a preparation method of the plant-based functional polyester filament are provided. The plant-based functional polyester filament includes polyester, and plant extract in a weight percentage range of approximately 0.1%-1.5%. The plant extract includes one or more of a peppermint extract, a valerian extract, a lavender extract, a wormwood extract, a chitin extract and a seaweed extract. The method includes preparing a plant-based functional polyester masterbatch, including: heating polyethylene terephthalate (PET) chips to a molten state, adding an antioxidant and a dispersant to the molten PET, stirring the molten PET, adding a protective agent and a plant extract to the molten PET, stirring the molten PET at a high speed, adding a modifier to the molten PET, obtaining a mixture by uniformly mixing the molten PET, and performing an extrusion granulation process on the mixture.

Abstract: A system for Magnetic Resonance Imaging (MRI) is provided. The system may obtain at least one training sample each of which includes full MRI data. The system may also obtain a preliminary subsampling model and a preliminary MRI reconstruction model. The system may further generate a subsampling model corresponding to an MRI reconstruction model by jointly training the preliminary subsampling model and the preliminary MRI reconstruction model using the at least one training sample. The subsampling model may be the trained preliminary subsampling model, and the MRI reconstruction model may be at least a portion of the trained preliminary MRI reconstruction model.

Abstract: The invention concerns a computer implemented method for underbalanced drilling. In one embodiment, the method includes determining a plurality of gas injection rate versus bottom hole pressure curves for a plurality of liquid injection rates for a specified minimum and maximum gas injection rate and a minimum and maximum liquid injection rate. Next, the method determines a set of four interception curves including a minimum motor equivalent liquid rate interception curve, a minimum vertical liquid velocity intercept curve, a minimum horizontal liquid velocity intercept curve, and a maximum motor equivalent liquid rate intercept curve for a specified minimum and maximum mud motor rate range and a minimum horizontal and vertical annulus velocity.

Abstract: The present invention discloses an algae modified pp spunbond non-woven fabric, which contains 0.1-2% of alginate. The algae modified pp spunbond non-woven fabric has a moisture regain of 0.2-3.5%, and an antibacterial rate ?98%. The algae modified pp spunbond non-woven fabric prepared in the invention contains modified alginic acid, and also has hydrophilic functional groups, such as hydroxyl and amido groups, and hydrophobic functional groups such as branched alkyl groups.

Abstract: The invention concerns a computer implemented method for underbalanced drilling. In one embodiment, the method includes determining a plurality of gas injection rate versus bottom hole pressure curves for a plurality of liquid injection rates for a specified minimum and maximum gas injection rate and a minimum and maximum liquid injection rate. Next, the method determines a set of four interception curves including a minimum motor equivalent liquid rate interception curve, a minimum vertical liquid velocity intercept curve, a minimum horizontal liquid velocity intercept curve, and a maximum motor equivalent liquid rate intercept curve for a specified minimum and maximum mud motor rate range and a minimum horizontal and vertical annulus velocity.

Abstract: A chitin-containing polyester filament and a preparation method of the chitin-containing polyester filament are provided. The method includes preparing a modified chitin; preparing a chitin-containing functional modifier based on the modified chitin; preparing polyester (PET) functional particles based on the chitin-containing functional modifier and PET pellets; preparing a mixed spinning solution based on the polyester functional particles, where a weight percentage of the polyester functional particles is in a range of approximately 2%-4% based on a total weight of the mixed spinning solution; and performing a spinning molding of the mixed spinning solution to form the chitin-containing polyester filament.

Abstract: A plant-extract-containing polyester fiber is provided. The plant-extract-containing polyester fiber comprises raw materials including polyester chips, calcium carbide powder, cycloalkyl powder, halloysite powder, plant-extract functional additive, allyl glycidyl ether, organic acid salt, chromium sulfate, dispersing agent, surface active phospholipid, plasticized starch, chitosan, wetting agent, sodium salt of caboxy methyl cellulose, and antistatic agent.

Abstract: The present disclosure is related to systems and methods for image processing. The method may include obtaining a first set of image data. The method may also include generating a second set of image data by processing, based on a trained machine learning model, the first set of image data. The second set of image data may have a relatively high resolution and/or a relatively low level of artifacts with respect to the first set of image data. The method may further include generating a target image by performing a weighted fusion on the first set of image data and the second set of image data.

Abstract: A chitin-modified polypropylene spunbond non-woven fabric and a preparation method of the chitin-modified polypropylene spunbond non-woven fabric are provided. The chitin-modified polypropylene spunbond non-woven fabric contains a modified chitin in a weight percentage range of approximately 0.2%-1.5%. The modified chitin includes chitin modified by a modifier including 2-hydroxybenzimidazole, cellulose acetate butyrate, and adipic acid dihydrazide. The chitin-modified polypropylene spunbond non-woven fabric has an anti-mold grade less than 1, and an antibacterial rate greater than 9.5%.

Abstract: The disclosure relates to systems and methods for magnetic resonance imaging (MRI). A method may include obtaining k-space data associated with MR signals acquired by an MR scanner. The k-space data may corresponding to a first sampling rate. The method may also include generating one or more estimated images based on the k-space data and a target neural network model. The one or more estimated images may correspond to a second sampling rate that exceeds the first sampling rate. The method may further include determining one or more target images based on the one or more estimated images and the k-space data using a compressed sensing model. The compressed sensing model may be constructed based on the one or more estimated images.

Abstract: A plant-based functional polyester filament and a preparation method of the plant-based functional polyester filament are provided. The plant-based functional polyester filament includes polyester, and plant extract in a weight percentage range of approximately 0.1%-1.5%. The plant extract includes one or more of a peppermint extract, a valerian extract, a lavender extract, a wormwood extract, a chitin extract and a seaweed extract. The method includes preparing a plant-based functional polyester masterbatch, including: heating polyethylene terephthalate (PET) chips to a molten state, adding an antioxidant and a dispersant to the molten PET, stirring the molten PET, adding a protective agent and a plant extract to the molten PET, stirring the molten PET at a high speed, adding a modifier to the molten PET, obtaining a mixture by uniformly mixing the molten PET, and performing an extrusion granulation process on the mixture.

Abstract: A system for Magnetic Resonance Imaging (MRI) is provided. The system may obtain at least one training sample each of which includes full MRI data. The system may also obtain a preliminary subsampling model and a preliminary MRI reconstruction model. The system may further generate a subsampling model corresponding to an MRI reconstruction model by jointly training the preliminary subsampling model and the preliminary MRI reconstruction model using the at least one training sample. The subsampling model may be the trained preliminary subsampling model, and the MRI reconstruction model may be at least a portion of the trained preliminary MRI reconstruction model.

Abstract: The present invention discloses an algae modified pp spunbond non-woven fabric, which contains 0.1-2% of alginate. The algae modified pp spunbond non-woven fabric has a moisture regain of 0.2-3.5%, and an antibacterial rate ?98%. The algae modified pp spunbond non-woven fabric prepared in the invention contains modified alginic acid, and also has hydrophilic functional groups, such as hydroxyl and amido groups, and hydrophobic functional groups such as branched alkyl groups.

Abstract: A plant-based functional polypropylene spunbond non-woven fabric and a preparation method of the plant-based functional polypropylene spunbond non-woven fabric are provided. The plant-based functional polypropylene spunbond non-woven fabric contains a plant herb water-soluble extract in a weight percentage range of approximately 0.2%-1.5%. The plant-based functional polypropylene spunbond non-woven fabric has moisture regain in a range of approximately 0.2%-3%, a longitudinal breaking strength of approximately ?18.5 N/5 cm, a transverse breaking strength of approximately ?9.5 N/5 cm, a thickness in a range of approximately 0.2 mm-0.5 mm, a weight per unit area in a range of approximately 20 g/m2-40 g/m2, and a fiber diameter in a range of approximately 10 ?m-30 ?m.