Abstract: Database systems and methods are provided for visual design and customization of processes for web applications. A method involves identifying a plurality of configured actions added to an aggregate action component region on a graphical user interface (GUI) display, automatically generating configured code for each of the configured actions in accordance with a respective user configuration of the respective configured action, identifying a user configuration associated with the aggregate action component, automatically generating aggregate action component code configurable to cause a browser application to initiate the configured code for each of the configured actions in parallel in accordance with the user configuration, and automatically generating process flow code including a reference to the aggregate action component code in accordance with a sequence defined for a web page.

Abstract: A method may include obtaining first nuclear magnetic resonance (NMR) data for a saturated core sample regarding a geological region of interest. The method may further include determining, using the first NMR data, spatial porosity data based on the saturated core sample. The spatial porosity data may describe various porosity values as a function of a sampling position of the saturated core sample. The method may further include obtaining second NMR data for a desaturated core sample regarding the geological region of interest. The method may further include determining, using the second NMR data, spatial permeability data based on the desaturated core sample. The method may further include determining a geological model for the geological region of interest using the spatial porosity data, the spatial permeability data, and a fitting process.

Abstract: A ballastless track roadbed damage forewarning method considering uncertainty includes the following steps. Step 1: counting roadbed material parameters and precipitation; Step 2: establishing a FLAC-PFC model of a ballastless track roadbed and calibrating mesoscopic parameters of a roadbed surface layer; Step 3: generating a lognormal random field of particle contact friction coefficients and assigning it to particle contact nodes of the roadbed surface layer; Step 4: perform sampling on the precipitation and adjusting a fluid domain of the roadbed surface layer; Step 5: determining a worst spatial correlation distance in the random field; and Step 6: calculating a damage probability pf of the roadbed surface layer under the worst spatial correlation distance; outputting alarm information when pf exceeds an alarm threshold, otherwise, quitting. The method monitors and gives early warning of damage to the roadbed surface layer under dynamic loads, ensuring driving safety.

Abstract: A ballastless track roadbed damage forewarning method considering uncertainty includes the following steps. Step 1: counting roadbed material parameters and precipitation; Step 2: establishing a FLAC-PFC model of a ballastless track roadbed and calibrating mesoscopic parameters of a roadbed surface layer; Step 3: generating a lognormal random field of particle contact friction coefficients and assigning it to particle contact nodes of the roadbed surface layer; Step 4: perform sampling on the precipitation and adjusting a fluid domain of the roadbed surface layer; Step 5: determining a worst spatial correlation distance in the random field; and Step 6: calculating a damage probability pf of the roadbed surface layer under the worst spatial correlation distance; outputting alarm information when pf exceeds an alarm threshold, otherwise, quitting. The method monitors and gives early warning of damage to the roadbed surface layer under dynamic loads, ensuring driving safety.

Abstract: The present invention provides a uterus OCT catheter, comprising: a catheter body; the catheter body comprises an outer sleeve, an OCT imaging catheter and a Luer connector; the outer sleeve is provided with an exit window; the reflecting surface of the reflecting prism in the OCT imaging catheter faces the exit window. The present invention further provides a uterus OCT equipment with pull-back function, comprising a pull-back device and the catheter body, the pull-back device comprises a first housing, a driving connector, a fixing sleeve and a catheter fixing tube. The invention adopts the way that the outer sleeve wraps the OCT imaging catheter to increase the overall strength and diameter; a pull-back device is adopted, the pull-back process is stable and in uniform speed, and can effectively prevent complications during human operation and damage to human tissue during pull-back process.

Abstract: A method includes obtaining, by an electronic device, an audio segment comprising one or more audio events of a target subject. The method also includes extracting, by the electronic device, audio embeddings from the one or more audio events using an embedding model, the embedding model comprising a trained machine learning model. The method further includes comparing, by the electronic device, the extracted audio embeddings with a match profile of the target subject, the match profile generated during an enrollment stage. The method also includes generating, by the electronic device, a label for the audio segment based on whether or not the extracted audio embeddings match the match profile, wherein the label enables correlation of the audio segment with the target subject for monitoring a health condition of the target subject.

Abstract: A method includes saturating a core sample with a hydrocarbon fluid to provide a hydrocarbon-saturated core, placing the core into a first aqueous fluid, applying an external force at increasing magnitude to the hydrocarbon-saturated core to displace a volume of the hydrocarbon fluid in the hydrocarbon-saturated core with the first aqueous fluid at each pressure magnitude, measuring a volume of displaced hydrocarbon fluid at each pressure magnitude, obtaining a first capillary pressure curve, re-saturating the core sample, placing the hydrocarbon-saturated core into a second aqueous fluid having a wettability altering agent, applying an external force at increasing magnitude to displace a volume of the hydrocarbon fluid in the core with the second aqueous fluid at each pressure magnitude, measuring a volume of displaced hydrocarbon fluid at each pressure magnitude, obtaining a second capillary pressure curve, and calculating a contact angle of the second aqueous fluid.

Abstract: A method and a device are for power supply switchover in a power system, including two power supplies, each being connected to a bus through an incoming line. The power supply currently in operation is used as the main power supply and the other power supply is used as a backup power supply. Both the incoming line and the bus have three phases, and the lines are connected by their phases. In an embodiment, the method includes: determining whether there is at least one sound phase among the three phases after identifying a fault in the power system; and if there is, obtaining a power data on the sound phase before the main power supply is disconnected. The power data is usable to determine whether the backup power supply meets the condition for connecting in the quick mode after the main power supply is disconnected.

Abstract: The present application provides a full hydraulic synchronous steering system for a low-speed heavy-load vehicle, where the system includes: a steering control mechanism and a steering actuator; by determining a desired steering curve between a steering wheel angle and a rear wheel angle, when a steering error exceeds an allowable error, a controller controls the opening and closing of an oil replenishment solenoid valve (5) and an oil discharge solenoid valve (4) to adjust a flow rate of the oil flowing into a steering cylinder (7), so as to ensure that the steering error is within an allowable error range, thereby implementing synchronous steering. A method for manipulating the full hydraulic synchronous steering system is further provided. The full hydraulic synchronous steering system and the method can improve synchronous steering capability of the low-speed heavy-load vehicle and change a steering ratio, thereby improving safety and direction feeling of a driver.

Abstract: Adaptive respiratory condition assessment can include capturing signals generated by sensors of a portable device positioned to sense a user's body. The sensors can generate the signals in response to sensor-detected movements of the user's body measured along multiple axes and corresponding to lung activity in the user's body during respiratory cycles. A preferred axis of measurement can be selected using signal processing performed by a signal processor embedded in the portable device. Waveforms generated from signals corresponding to signals generated in response to movements of the user's body measured along the preferred axis can be filtered for extracting biomarkers from the waveforms using the signal processor. The one or more biomarkers extracted correspond to the lung activity. Based on the biomarkers, a respiratory condition of the user can be determined. A notification based on the respiratory condition as determined can be generated and conveyed with the portable device.

Abstract: A method for determining the pore size distribution in a reservoir, including the steps: drilling a core sample out of the reservoir, determining a porosity distribution along the core sample, obtaining T2-distributions at different saturation levels of the core sample with formation brine, performing time domain subtraction on the T2-distributions to obtain T2-distributions at all saturation levels, determining the pore throat size distribution along the core sample, determining first porosities from the T2-distributions that correspond to second porosities of the pore throat size distribution for each saturation level, determining T2-distributions at the first porosities from the T2-distributions, determining pore throat sizes at the second porosities from the pore throat size distributions, plotting the pore throat sizes as function of the relaxation times T2 to obtain the surface relaxation, and determining the pore size distribution of the reservoir.

Abstract: A method includes receiving multimodal data collected using at least one wearable device during an assessment window. The method also includes extracting biomarker features from the multimodal data, based on changes in the extracted biomarker features. The method also includes detecting that a stress event occurred during the assessment window. The method also includes accessing a plurality of templates of patterns in biomarker features, wherein a first subset of the templates is associated with unhealthy response to stress and a second subset of the templates is associated with healthy response to stress. The method also includes determining whether the stress event corresponds to a healthy response or an unhealthy response based on similarities between a pattern in the extracted biomarker features and the plurality of templates. The method also includes responsive to the stress event corresponding to an unhealthy response, providing a stress management recommendation.

Abstract: A method includes providing an injection well extending from a surface into a formation and alternatingly pumping a foam injectant and a gel injectant into the injection well, wherein the foam injectant includes a liquid phase with a surfactant and water and a gas phase and the gel injectant includes a water-soluble polymer and a crosslinker. The foam injectant and the gel injectant are injected at separate times and sequentially.

Abstract: Detecting and identifying a predetermined health event can include detecting a potential occurrence of the predetermined health event for a user by processing in real-time motion signals corresponding to motion of the user. A likelihood that the potential occurrence is an actual occurrence of the predetermined health event can be determined based on template matching of the motion signals. In response to determining that the likelihood exceeds a predetermined threshold, audio signals coinciding in time with the motion of the user can be processed using one or more layers of a multilayered audio event classifier.

Abstract: A method may include obtaining first nuclear magnetic resonance (NMR) data for a saturated core sample regarding a geological region of interest. The method may further include determining, using the first NMR data, spatial porosity data based on the saturated core sample. The spatial porosity data may describe various porosity values as a function of a sampling position of the saturated core sample. The method may further include obtaining second NMR data for a desaturated core sample regarding the geological region of interest. The method may further include determining, using the second NMR data, spatial permeability data based on the desaturated core sample. The method may further include determining a geological model for the geological region of interest using the spatial porosity data, the spatial permeability data, and a fitting process.

Abstract: A method includes deriving spatial permeability along a core axis by saturating the rock with an aqueous solution, performing T2 NMR on the saturated rock to detect spatial NMR data along the core axis, desaturating the rock, performing T2 NMR on the desaturated rock to detect spatial NMR data along the core axis, determining the spatial cutoff data for the saturated and desaturated rock along the core axis, and analyzing the spatial NMR data. The method further includes deriving spatial permeability along a second core axis by additionally performing T2 NMR on the saturated rock to detect spatial NMR data along a second core axis, performing T2 NMR on the desaturated rock to detect spatial NMR data along a second core axis, and determining the spatial cutoff data for the saturated and desaturated rock along the second core axis.

Abstract: Approaches are presented for training an inverse graphics network. An image synthesis network can generate training data for an inverse graphics network. In turn, the inverse graphics network can teach the synthesis network about the physical three-dimensional (3D) controls. Such an approach can provide for accurate 3D reconstruction of objects from 2D images using the trained inverse graphics network, while requiring little annotation of the provided training data. Such an approach can extract and disentangle 3D knowledge learned by generative models by utilizing differentiable renderers, enabling a disentangled generative model to function as a controllable 3D “neural renderer,” complementing traditional graphics renderers.

Abstract: A technique is described for extracting or constructing a three-dimensional (3D) model from multiple two-dimensional (2D) images. In an embodiment, a foreground segmentation mask or depth field may be provided as an additional supervision input with each 2D image. In an embodiment, the foreground segmentation mask or depth field is automatically generated for each 2D image. The constructed 3D model comprises a triangular mesh topology, materials, and environment lighting. The constructed 3D model is represented in a format that can be directly edited and/or rendered by conventional application programs, such as digital content creation (DCC) tools. For example, the constructed 3D model may be represented as a triangular surface mesh (with arbitrary topology), a set of 2D textures representing spatially-varying material parameters, and an environment map. Furthermore, the constructed 3D model may be included in 3D scenes and interacts realistically with other objects.

Abstract: Personalized vertigo rehabilitation and treatment can include generating a sequence of sounds that are modulated to perceptually emanate from one or more distinct locations in three-dimensional space relative to a user. The sequence can be predetermined to guide head movements of the user in a prescribed manner to mitigate vertigo experienced by the user. The user's head movements can be tracked as the user responds to the sequence of sounds. A signal can be conveyed to the user in response to detecting a predetermined head movement by the user.

Abstract: A multimodal, contactless vital sign monitoring system is configured to perform the following operations. Images are received from a video capture device. An image of a subject is identified within the images. The image of the subject is segmented into a plurality of segments. A first analysis is performed on the plurality of segments to identify a color feature. A second analysis is performed of the plurality of segments to identify a motion feature. Using a combination of the color feature and the motion feature a plurality of vital signs for the subject are determined. The first analyzing and the second analyzing are performed in parallel. The plurality of vital signs include one or more of heart rate, respiration rate, oxygen saturation, heart rate variability, and atrial fibrillation.