Abstract: Systems for processing articles are essential for semiconductor fabrication. These systems employ a variety of apparatuses for controlling flow. In one implementation, an apparatus for controlling flow may utilize a body having a flow path extending from an inlet to an outlet. A valve, a flow restrictor, and a pressure sensor are operably coupled to the flow path. The valve incorporates first and second actuators which enable control of mass flow rates of fluid flowing through the flow path.

Abstract: A system can include a bi-directional converter circuit comprising a plurality of switches and a flying capacitor configured to experience a low voltage or a high voltage, and a control module operatively connected to the plurality of switches to control a state of the plurality of switches. The control module can be configured to receive a sense signal indicative of a flying capacitor voltage and to control the one or more switches of the plurality of switches to charge or discharge the flying capacitor to maintain a target voltage or target voltage range.

Abstract: A method for diagnostic imaging reconstruction uses a prior image xpr from a scan of a subject to initialize parameters of a neural network which maps coordinates in image space to corresponding intensity values in the prior image. The parameters are initialized by minimizing an objective function representing a difference between intensity values of the prior image and predicted intensity values output from the neural network. The neural network is then trained using subsampled (sparse) measurements of the subject to learn a neural representation of a reconstructed image. The training includes minimizing an objective function representing a difference between the subsampled measurements and a forward model applied to predicted image intensity values output from the neural network. Image intensity values output from the trained neural network from coordinates in image space input to the trained neural network are computed to produce predicted image intensity values.

Abstract: The disclosure provides a precursor solution, a perovskite solar cell and a preparation method thereof. The solute of the precursor solution includes a metal halide, the solvent of the precursor solution is an organic solvent, and the precursor solution contains nanobubbles, which have a diameter not more than 1000 nm, and the zeta potential of the precursor solution does not exceed-20 mV. The method of preparing the precursor solution includes: (1) preparing an organic solvent containing nanobubbles; (2) dissolving a solute in the organic solvent containing nanobubbles. The precursor solution of the disclosure has a very low zeta potential, and the nanobubbles can exist stably in the organic solvent(s) for up to one month. When comparing with traditional methods for preparing the precursor solution of the perovskite cells, the method for preparing the precursor solution of the disclosure can effectively improve the stability, reproducibility and solubility of the metal halide in the organic solvent(s).

Abstract: Provided is a salt of an Syk inhibitor and a crystalline form thereof, and more specifically, provided are 5-fluoro-1-methyl-3-((5-(4-(oxetan-3-yl)piperazine-1)-yl)pyridin-2-yl)amino)-6-(1H-pyrazol-3-yl)quinoline-2(1H)-ketamine hydrochloride, a crystalline form thereof, a preparation method therefor, a pharmaceutical composition thereof and a use thereof. The hydrochloride of the compound represented by formula I and the crystalline form thereof have good salt-forming properties, high stability and low hygroscopicity, have advantages in terms of physical properties, safety and metabolic stability, and have value in prepared medicines.

Abstract: A joint between dissimilar thermoplastic materials comprising a first thermoplastic material layer; a second thermoplastic material layer having a melting point temperature different from a melting point temperature of the first thermoplastic material layer; and an interface layer coupled between the first thermoplastic material layer and the second thermoplastic material layer; wherein the interface layer is configured to join the first thermoplastic material layer and the second thermoplastic material layer together to form the joint, wherein the interface layer comprises a melting point temperature having a value selected from the group consisting of between the melting point temperature of the first thermoplastic material layer and the melting point temperature of the second thermoplastic material layer; or lower than the melting point temperature of the first thermoplastic material layer and the melting point temperature of the second thermoplastic material layer.

Abstract: A system can include a bi-directional converter circuit comprising a plurality of switches and a flying capacitor configured to experience a low voltage or a high voltage, and a control module operatively connected to the plurality of switches to control a state of the plurality of switches. The control module can be configured to receive a sense signal indicative of a flying capacitor voltage and to control the one or more switches of the plurality of switches to charge or discharge the flying capacitor to maintain a target voltage or target voltage range.

Abstract: A system can include a bi-directional converter circuit comprising a plurality of switches and at least one flying capacitor. One or more the plurality of switches can experience overvoltage in a fault state. The system can include a control module operatively connected to the plurality of switches to control a state of the plurality of switches. The control module can be configured to receive a sense signal indicative of flying capacitor voltage and to control the one or more switches of the plurality of switches to turn on or remain on to prevent switch overvoltage of the one or more switches if the flying capacitor voltage is outside of a normal range.

Abstract: Systems and methods for cell typing in accordance with embodiments of the invention are illustrated. One embodiment includes a cell typing system, including a processor, and a memory, the memory containing a cell typing application that configures the processor to obtain single cell ribonucleic acid sequencing (scRNA-seq) data generated from a single cell, generate a two-dimensional (2D) image includes a grid of pixels referred to as a GenoMap, where each pixel describes a gene-gene interaction based upon the scRNA-seq data, provide the 2D image to a convolutional neural network (CNN), obtain a cell classification of the single cell from the CNN, and provide the cell classification via a display.

Abstract: In a method for enriching and separating an anaerobic fiber-degrading bacterium on the basis of cellulosic magnetic nanoparticles, the cellulosic magnetic nanoparticles are prepared by coating cellulose on the surface of a magnetic nanomaterial. Bacteria attach to the cellulosic magnetic nanoparticles. Anaerobic fiber-degrading bacteria degrade the cellulose and then detach from the cellulosic magnetic nanoparticles, and the anaerobic fiber-degrading bacteria are obtained by means of separation using a magnet. The magnetic nano-separation technology can be used as a new technology to efficiently separate anaerobic fiber-degrading bacteria.

Abstract: During a manufacturing method, a first thermoplastic body is arranged with a second thermoplastic body. The first thermoplastic body and/or the second thermoplastic body includes a plurality of fibers embedded within a thermoplastic matrix. The fibers include a plurality of parallel first fibers and a plurality of parallel second fibers that are angularly offset from the parallel first fibers. A conductive element is arranged vertically next to a surface of the first thermoplastic body. The first thermoplastic body is induction welded to the second thermoplastic body using the conductive element. The conductive element includes a first segment and a second segment. The first segment is at least substantially parallel with the plurality of parallel first fibers. The second segment is at least substantially parallel with the plurality of parallel second fibers. A first portion of the conductive element is vertically above and overlaps a second portion of the conductive element.

Abstract: A system having a set of instructions executable by the system for multi-source machine learning modeling framework for process property mapping of thermoplastic composite manufacturing, the set of instructions comprising: an instruction to select a surrogate machine learning model from a suite of machine learning networks; an instruction to involve uncertainty quantification associated with predictions which provide a quantified estimate of how much the machine learning model can be trusted; an instruction to provide multi-physics process model output to the machine learning model; an instruction to provide heterogeneous data sources for use by the machine learning model; an instruction to determine estimates of optimal process parameters employing budget-constrained multi-fidelity process optimization; an instruction for deployment the multi-source machine learning model in the implementation of carbon fiber reinforced thermoplastic polymer induction welding; and an instruction to perform induction welding

Abstract: A method for tomographic imaging comprising acquiring [200] a set of one or more 2D projection images [202] and reconstructing [204] a 3D volumetric image [216] from the set of one or more 2D projection images [202] using a residual deep learning network comprising an encoder network, a transform module and a decoder network, wherein the reconstructing comprises: transforming [206] by the encoder network the set of one or more 2D projection images [202] to 2D features [208]; mapping [210] by the transform module the 2D features [208] to 3D features [212]; and generating [214] by the decoder network the 3D volumetric image [216] from the 3D features [212]. Preferably, the encoder network comprises 2D convolution residual blocks and the decoder network comprises 3D blocks without residual shortcuts within each of the 3D blocks.

Abstract: A joint between dissimilar thermoplastic materials comprising a first thermoplastic material layer; a second thermoplastic material layer having a melting point temperature different from a melting point temperature of the first thermoplastic material layer; and an interface layer coupled between the first thermoplastic material layer and the second thermoplastic material layer; wherein the interface layer is configured to join the first thermoplastic material layer and the second thermoplastic material layer together to form the joint, wherein the interface layer comprises a melting point temperature having a value selected from the group consisting of between the melting point temperature of the first thermoplastic material layer and the melting point temperature of the second thermoplastic material layer; or lower than the melting point temperature of the first thermoplastic material layer and the melting point temperature of the second thermoplastic material layer.

Abstract: A method for quantitative magnetic resonance imaging (MRI) includes [800] performing an MRI scan using a conventional pulse sequence to obtain a qualitative MR image; and [802] applying the qualitative MR image as input to a deep convolutional neural network (CNN) to produce a quantitative magnetic resonance (MR) relaxation parametric map. The qualitative MR image is the only image input to the deep neural network to produce the quantitative MR relaxation parametric map. The conventional pulse sequence may be a Spoiled Gradient Echo sequence, a Fast Spin Echo sequence, a Steady-State Free Precession sequence, or other sequence that is commonly used in current clinical practice.

Abstract: The present invention provides a selection method of array length of observation system, comprising: step S101: obtaining a seismic response equation for any point on ground based on wavefield propagation theory; step S102: determining at least one selection criterion of an optimum array length considering different factors according to the seismic response equation; step S103: obtaining the array lengths considering the different factors respectively according to the at least one selection criterion of the optimum array length; and step S104: integrating the array lengths considering the different factors and determining that the optimum array length is ?{square root over (2)} times the depth of the destination layer. Compared with conventional array length calculation method the demonstration method of array length as proposed in the present invention has the advantages of higher accuracy and applicability for destination layers.

Abstract: A thermoset component for joining with a thermoplastic component according to an exemplary embodiment of this disclosure, among other possible things includes a thermoset material, a weldable surface on the thermoset material, and a thermal barrier. The weldable surface includes a thermoplastic material. A hybrid polymeric component and a method of making a hybrid polymeric component are also disclosed.

Abstract: A method for medical imaging performs a sparse-sampled tomographic imaging acquisition by an imaging system to produce acquired sparse imaging samples; synthesizes by a first deep learning network unacquired imaging samples from the acquired imaging samples to produce complete imaging samples comprising both the acquired imaging samples and unacquired imaging samples; transforms by a physics module the complete imaging samples to image space data based on physics and geometry priors of the imaging system; and performs image refinement by a second deep learning network to produce tomographic images from the image space data. The physics and geometry priors of the imaging system comprise geometric priors of a physical imaging model of the imaging system, and prior geometric relationships between the sample and image data domains.

Abstract: A treatment planning prediction method to predict a Dose-Volume Histogram (DVH) or Dose Distribution (DD) for patient data using a machine-learning computer framework is provided with the key inclusion of a Planning Target Volume (PTV) only treatment plan in the framework. A dosimetric parameter is used as an additional parameter to the framework and which is obtained from a prediction of the PTV-only treatment plan. The method outputs a Dose-Volume Histogram and/or a Dose Distribution for the patient including the prediction of the PTV-only treatment plan. The method alleviates the complicated process of quantifying anatomical features and harnesses directly the inherent correlation between the PTV-only plan and the clinical plan in the dose domain. The method provides a more robust and efficient solution to the important DVHs prediction problem in treatment planning and plan quality assurance.

Abstract: A transformer bobbin includes a first bobbin member including a first end defining a first opening, a second end defining a second opening, an inner surface defining the first opening and an outer surface. The inner surface includes a first plurality of fins that extend between the first end and the second end. A second bobbin member is disposed about and spaced from the first bobbin member. The second bobbin member includes a first end portion defining a first opening portion, a second end portion, an inner surface portion and an outer surface portion. One of the outer surface of the first bobbin member and the outer surface portion of the second bobbin member includes a second plurality of fins that extend between the first end portion and the second end portion.