Abstract: A semiconductor device includes a first transistor and a first gate electrically coupled to the first transistor. A second transistor is positioned on top of the first transistor. A second gate is electrically coupled to the second transistor. A dielectric isolation layer is positioned between the first gate and the second gate. A first conductive contact is electrically coupled to the first gate. A second conductive contact is electrically coupled to the second gate. A control of the first gate through the first conductive contact is independent of a control of the second gate through the second conductive contact.

Abstract: The embodiments of the present disclosure provide an antibody or antigen-binding fragment against SARS-CoV-2 spike(S) protein, comprising: three complementarity determining regions (HCDRs) of a heavy chain variable region or one or more variants thereof, the heavy chain variable region set forth as SEQ ID NO. 30 or SEQ ID NO. 46, each of the one or more variants having at most two amino acid changes compared to the corresponding CDR; and three complementarity determining regions (LCDRs) of a light chain variable region or one or more variants thereof, the light chain variable region set forth as SEQ ID NO. 32 or SEQ ID NO. 48, each of the one or more variants having at most two amino acid changes compared to the corresponding CDR.

Abstract: A method of soldering one or more components to a substrate includes providing a substrate and applying an amount of solder material to the top planar surface of the substrate. One or more electrical components are mounted to the solder material in a predetermined position and orientation. A carrier is provided having one or more magnets embedded therein. The substrate is positioned above the carrier such that each of the one or more magnets is positioned directly below a corresponding electrical component. A carrier cover is positioned above the substrate and the electrical components. The solder material is heated to a predetermined temperature for a predetermined amount of time during which each of the magnets exerts a magnetic force on a corresponding electrical component to maintain its orientation relative to the substrate. The magnets reduce the occurrence of tombstoning of the electrical components during heating of the solder material.

Abstract: Systems and methods are for analyzing Positron Emission Tomography (PET) image data. The methods may include generating a set of standardized uptake values (SUVs) of global or localized PET data for voxels within a selected region of interest (ROI), normalizing the set of SUVs by generating a set of SUVPs where each corresponding SUVP for each SUV is obtained using the formula: SUVP=(SUV?M)/S, wherein M corresponds to a peak value for the set of SUVs, and S corresponds to a spread for the set of SUVs, and generating a normalized image based on the set of SUVPs for the ROI. The systems may include any suitable device for PET image analysis performing the methods.

Abstract: Disclosed in the present invention is a multi-operator direct payment system of a public operating service platform for electric vehicles, which belongs to the technical field of electric vehicle operation. The multi-operator direct payment refers to a payment method for the operators where the platform is hosted for the multiple operators. The multi-operator direct payment allows the payment to be directly paid to the actual charging account of the operators through dynamically-targeted payment techniques, without the need for secondary clearing and settlement, which also improves the timeliness of fund arrival, further achieves and promotes the interconnection among the multiple operators. In the traditional operating mode, the money firstly arrives at the platform and is then transferred to the operators, causing the problems of slow fund arrival, extra fees for transfer, and being not subject to the operators' control.

Abstract: Systems and methods are for analyzing Positron Emission Tomography (PET) image data. The methods may include generating a set of standardized uptake values (SUVs) of global or localized PET data for voxels within a selected region of interest (ROI), normalizing the set of SUVs by generating a set of SUVPs where each corresponding SUVP for each SUV is obtained using the formula: SUVP=(SUV?M)/S, wherein M corresponds to a peak value for the set of SUVs, and S corresponds to a spread for the set of SUVs, and generating a normalized image based on the set of SUVPs for the ROI. The systems may include any suitable device for PET image analysis performing the methods.

Abstract: Exemplary system, method and computer-accessible medium for determining a difference(s) between two sets of subjects, can be provided. Using such exemplary system, method and computer-accessible medium, it is possible to receive first imaging information related to a first set of subjects of the two sets of the subjects, receive second imaging information related to a second set of subjects of the two sets of subjects, generate third information by performing a decomposition procedure(s) on the first imaging information and the second information, and determine the difference(s) based on the third information.

Abstract: Exemplary system, method and computer-accessible medium for determining a difference(s) between two sets of subjects, can be provided. Using such exemplary system, method and computer-accessible medium, it is possible to receive first imaging information related to a first set of subjects of the two sets of the subjects, receive second imaging information related to a second set of subjects of the two sets of subjects, generate third information by performing a decomposition procedure(s) on the first imaging information and the second information, and determine the difference(s) based on the third information.

Abstract: A method and associated systems for real-time subject-driven functional connectivity analysis. One or more processors receive an fMRI time series of sequentially recorded, masked, parcellated images that each represent the state of a subject's brain at the image's recording time as voxels partitioned into a constant set of three-dimensional regions of interest. The processors derive an average intensity of each region's voxels in each image and organize these intensity values into a set of time courses, where each time course contains a chronologically ordered list of average intensity values of one region. The processors then identify time-based correlations between average intensities of each pair of regions and represent these correlations in a graphical format. As each subsequent fMRI image of the same subject's brain arrives, the processors repeat this process to update the time courses, correlations, and graphical representation in real time or near-real time.

Abstract: A method and associated systems for real-time subject-driven functional connectivity analysis. One or more processors receive an fMRI time series of sequentially recorded, masked, parcellated images that each represent the state of a subject's brain at the image's recording time as voxels partitioned into a constant set of three-dimensional regions of interest. The processors derive an average intensity of each region's voxels in each image and organize these intensity values into a set of time courses, where each time course contains a chronologically ordered list of average intensity values of one region. The processors then identify time-based correlations between average intensities of each pair of regions and represent these correlations in a graphical format. As each subsequent fMRI image of the same subject's brain arrives, the processors repeat this process to update the time courses, correlations, and graphical representation in real time or near-real time.

Abstract: A method and associated systems for real-time subject-driven functional connectivity analysis. One or more processors receive an fMRI time series of sequentially recorded, masked, parcellated images that each represent the state of a subject's brain at the image's recording time as voxels partitioned into a constant set of three-dimensional regions of interest. The processors derive an average intensity of each region's voxels in each image and organize these intensity values into a set of time courses, where each time course contains a chronologically ordered list of average intensity values of one region. The processors then identify time-based correlations between average intensities of each pair of regions and represent these correlations in a graphical format. As each subsequent fMRI image of the same subject's brain arrives, the processors repeat this process to update the time courses, correlations, and graphical representation in real time or near-real time.

Abstract: A method and associated systems for real-time subject-driven functional connectivity analysis. One or more processors receive an fMRI time series of sequentially recorded, masked, parcellated images that each represent the state of a subject's brain at the image's recording time as voxels partitioned into a constant set of three-dimensional regions of interest. The processors derive an average intensity of each region's voxels in each image and organize these intensity values into a set of time courses, where each time course contains a chronologically ordered list of average intensity values of one region. The processors then identify time-based correlations between average intensities of each pair of regions and represent these correlations in a graphical format. As each subsequent fMRI image of the same subject's brain arrives, the processors repeat this process to update the time courses, correlations, and graphical representation in real time or near-real time.