Abstract: A plunger pump base and a plunger pump device. The plunger pump base includes a support assembly and an extension assembly. The support assembly includes a top plate, a bottom plate and a support frame, the top plate and the bottom plate are oppositely arranged at an interval, and the support frame is respectively fixed with the top plate and the bottom plate. The extension assembly includes an extension block, a first telescopic mechanism and a second telescopic mechanism. One end of the first telescopic mechanism is rotatably connected to the extension block, the other end of the first telescopic mechanism is rotatably connected to the top plate. One end of the second telescopic mechanism is rotatably connected to the extension block, and the other end of the second telescopic mechanism is rotatably connected to the bottom plate.

Abstract: The present disclosure relates to a system and method for automatic vehicle recognition, based on a smart device. The system mainly includes an image capturing device integrated in the smart device, a data storage to store the images captured by the image capturing device and known identity aspects related to a vehicle allotted to a user, and a License plate processing and matching (LPPM) component to perform recognition process. LPPM component includes an identity aspect detector to detect a portion representing the identity aspect, an image processor to enhance the portion and perform Optical Characters Recognition (OCR) to extract character strings from the portion. The character string is compared against a character string of the known identity aspect to verify the vehicle.

Abstract: A system and method for rider profiling for lightweight vehicles is disclosed herein. The system comprises a lightweight vehicle actuating unit. Load-cells are configured on a deck of the lightweight vehicle for sensing and measuring load acting thereupon for generating a measurement signal. A pressure-pattern collection unit receives the measurement signal to identify and process a load pattern acting on the deck to generate a pressure-pattern signal. A learning model receives the pressure-pattern signal for processing to obtain information associated with a pose of the rider. A riding control is coupled to a riding control database and configured to unit receive the information associated with the pose from the learning model for determining at least one instance of rule violation and computing a decision based on the at least one instance of rule violation.

Abstract: An XR helmet collects user data and environmental data using onboard sensors. The collected data is used to train a model for predicting safe rides in a rental fleet of lightweight vehicles. The XR helmet is configured to selectively take control of the lightweight vehicle when driver biofeedback or environmental data are predictive of unsafe driving conditions. Access and control of fleet vehicles is controlled by a predictive machine learning model trained by data indicative of safe and unsafe driving conditions.

Abstract: A smart system for detecting the presence of a helmet in a vehicle is disclosed herein. The system comprises a first transceiver configured within a trunk of the vehicle. The first transceiver is configured to transmit a first detection signal on detecting the opening of the trunk of the vehicle. At least one second transceiver corresponds to at least one helmet provided on the body of the helmet. The second transceiver is configured to respond to the first detection signal with a response signal, wherein the response signal includes a unique identity marker corresponding to the helmet. A transmission device is configured to detect opening and closing of trunk to activate the first transceiver, subsequent to which the first detection signal is sent, and the transmission device is further configured to transmit information associated with the response signal to a base controller.

Abstract: A system and method for detecting rider impairment based on image or audio input is implemented in a rental fleet of lightweight vehicles. The system comprises a mobile device, a backend server, and one or more lightweight vehicles. Access to fleet vehicles is controlled by the mobile application based on results of data collected about the prospective driver.

Abstract: An image classification system and method are used to determine the status of equipment completeness of the rental two-wheeled vehicles, such as electric scooters. The system and method use deep learning models to analyze and classify ambiguous states of the rental vehicle when the user finishes the ride. These states are likely to be encountered by rental vehicles, to protect helmets, trunks or other equipment from loss or damage.

Abstract: Systems and methods that include receiving reservoir data of a hydrocarbon reservoir, receive an indication related to selection of a wavefield propagator, application of the wavefield propagator utilizing Fourier Finite Transforms and Finite Differences to model a wavefield associated with a Tilted Orthorhombic media representative of a region of a subsurface comprising the hydrocarbon reservoir, and processing the reservoir data in conjunction the wavefield propagator to generate an output for use with seismic exploration above a region of a subsurface comprising the hydrocarbon reservoir and containing structural or stratigraphic features conducive to a presence, migration, or accumulation of hydrocarbons.

Abstract: The present invention provides novel hydrogels through peptides, which are designed to self-assemble and produce magnetic resonance (MR) contrast through chemical exchange saturation transfer (CEST). The location and integrity of these gels could consequently be tracked using MR imaging. The self-assembly of the peptides into hydrogels can be brought about by a change in pH, ionic strength, temperature, and concentration of ions.

Abstract: PAMAM dendrimer based CEST imaging agents, pharmaceutical compositions comprising the same and methods of uses thereof are disclosed.

Abstract: Salicylic acid-based polymeric CEST contrast agents targeting prostate-specific membrane antigen, pharmaceutical composition comprising the same and methods of use thereof are disclosed.

Abstract: Salicylic acid-based polymeric CEST contrast agents targeting prostate-specific membrane antigen, pharmaceutical composition comprising the same and methods of use thereof are disclosed.

Abstract: Systems and methods that include receiving reservoir data of a hydrocarbon reservoir, receive an indication related to selection of a wavefield propagator, application of the wavefield propagator utilizing Fourier Finite Transforms and Finite Differences to model a wavefield associated with a Tilted Orthorhombic media representative of a region of a subsurface comprising the hydrocarbon reservoir, and processing the reservoir data in conjunction the wavefield propagator to generate an output for use with seismic exploration above a region of a subsurface comprising the hydrocarbon reservoir and containing structural or stratigraphic features conducive to a presence, migration, or accumulation of hydrocarbons.

Abstract: A novel approach for CEST MR imaging is called Multi-echo Length and Offset VARied Saturation (Me-LOVARS) CEST. This method allows efficient collection of additional CEST data without penalty in scan time, which could be useful for enhancing the contrast, increasing the specificity or improving quantification of exchange. As CEST-MRI has shown promise at both the pre-clinical and clinical levels, including for detecting and grading brain tumors and evaluating ischemia, using either endogenous CEST contrast or through administration of CEST contrast agents. This fast and robust imaging method is suitable for accelerating image collection and widening the scope of applications for CEST-MRI.

Abstract: CEST MR imaging, called Multi-echo Parametric VARiation Saturation (Me-PaVARS) CEST places multiple image readouts in between a series of saturation pulses. The saturation pulse parameters are varied in a designated systematic pattern, which allows the generation of CEST contrast maps by encoding the patterns of signal loss into the images for better discrimination between various CEST imaging agents. The saturation parameter changes include, but are not limited to, saturation amplitude (B1), saturation length (tsat), number of pulses, shape of saturation pulses, amplitude of saturation pulses, saturation offset frequency, or a combination of these variations.

Abstract: PAMAM dendrimer based CEST imaging agents, pharmaceutical compositions comprising the same and methods of uses thereof are disclosed.

Abstract: Compositions and methods for chemical exchange saturation transfer (CEST) based magnetic resonance imaging (MRI) or frequency labeled exchange (FLEX) imaging are disclosed. Beta-hydroxycarboxylate and beta-aminocarboxylate derivatives including salicylic acid, salicylates, salicylic acid prodrugs, N-alkyl/aryl/acyl/sulfonyl-anthranilic acid analogs, and any aromatic compound with OH/NH group ortho to the carboxylic acid group are disclosed. Such compounds can be used as general MRI organic contrast agents and produce significantly improved contrast in MR images detectable through CEST or FLEX.

Abstract: The present invention provides a novel approach for CEST MR imaging, called Multi-echo Parametric VARiation Saturation (Me-PaVARS) CEST. This method places multiple image readouts in between a series of saturation pulses. The saturation pulse parameters are varied in a designated systematic pattern, which allows the generation of CEST contrast maps by encoding the patterns of signal loss into the images for better discrimination between various CEST imaging agents. The saturation parameter changes include, but are not limited to, saturation amplitude (B1), saturation length (tsat), number of pulses, shape of saturation pulses, amplitude of saturation pulses, saturation offset frequency, or a combination of these variations.

Abstract: The present invention provides a novel approach for CEST MR imaging, called Multi-echo Length and Offset VARied Saturation (Me-LOVARS) CEST. This method allows efficient collection of additional CEST data without penalty in scan time, which could be useful for enhancing the contrast, increasing the specificity or improving quantification of exchange. As CEST-MRI has shown promise at both the pre-clinical and clinical levels, including for detecting and grading brain tumors and evaluating ischemia, using either endogenous CEST contrast or through administration of CEST contrast agents. This fast and robust imaging method is suitable for accelerating image collection and widening the scope of applications for CEST-MRI.

Abstract: The present invention provides novel hydrogels through peptides, which are designed to self-assemble and produce magnetic resonance (MR) contrast through chemical exchange saturation transfer (CEST). The location and integrity of these gels could consequently be tracked using MR imaging. The self-assembly of the peptides into hydrogels can be brought about by a change in pH, ionic strength, temperature, and concentration of ions.