Abstract: A millimeter-wave broadband substrate integrated hybrid dielectric resonator antenna is provided. The hybrid antenna includes: a first dielectric substrate with high dielectric constant, a second dielectric substrate with low dielectric constant, and a third dielectric substrate with low dielectric constant sequentially stacked from top to bottom. The first dielectric substrate and the second dielectric substrate are adhered by a first adhesive sheet; the second dielectric substrate and the third dielectric substrate are adhered by a second adhesive sheet; a middle of a top surface of the second dielectric substrate is printed with a metal ring patch; a top surface of the third dielectric substrate is formed with a metal ground plane, and the metal ground plane is etched with a feed slot; and a bottom surface of the third dielectric substrate is disposed with a microstrip line.

Abstract: A system is provided that includes a first electrode configured to be located within a septal wall, and a second electrode configured to be located outside of the septal wall. The system also includes an impedance circuit configured to measure impedance along an impedance monitoring (IM) vector between the first and second electrodes. One or more processors are also provided that are configured to obtain impedance data indicative of an impedance along the IM vector with the first electrode located at different depths within the septal wall, the impedance data including a set of data values associated with different depths of the first electrode within the septal wall. The one or more processors are also configured to determine when the first electrode is located at a target depth within the septal wall based on the impedance data.

Abstract: Methods, devices, and program products are provided under control of one or more processors within an implantable medical device (IMD) that senses far field (FF) signals between a combination of electrodes coupled to the IMD. Correlation scores are determined by comparing the FF signals associated with a number of beats to a template. The correlation scores of the number of beats are compared to a correlation threshold, and correlation variability scores are determined for the number of beats. Shock delivery, by a pulse generator within the IMD, is postponed in response to i) a first number of beats within the number of beats having the correlation scores that are less than the correlation threshold, and ii) a second number of beats within the number of beats having correlation variability scores that are less than a correlation variability threshold.

Abstract: Disclosed herein is a catheter for delivering an implantable medical lead to an implantation site near an ostium leading to a proximal region of a coronary sinus. The catheter includes a distal end, a proximal end opposite the distal end, a tubular body extending between the distal and proximal ends, an atraumatic fixation structure defining a distal termination of the distal end, and a lead receiving lumen. The atraumatic fixation structure is configured to enter the ostium and passively pivotally anchor with the proximal region of the coronary sinus. The lead receiving lumen extends along the tubular body from the proximal end to an opening defined in a side of the tubular body near the distal end and proximal the atraumatic fixation structure.

Abstract: Implantable systems, and methods for use therewith, monitor a patient's arterial blood pressure without requiring an intravascular pressure transducer. A plurality of calibrations factors are stored, each of which is associated with a respective one of a plurality of different postures, activity levels, or HR ranges, or different combinations thereof. A signal indicative of activity of the patient's heart, and a signal indicative of changes in arterial blood volume of the patient are obtained, and a pulse arrival time (PAT) value is determined. A current posture, activity level, and/or HR of the patient is/are determined and used to identify stored calibration factor(s) that correspond thereto. Values indicative of the patient's arterial blood pressure is/are determined based on the PAT value and the stored calibration factor(s) identified based on the patient's current posture, activity level, and/or HR. Such value(s) and/or changes thereto can be used to trigger and/or adjust therapy.

Abstract: The present invention discloses a production method of enzymatic reaction using adenosine instead of ATP. The method comprises the following steps: (1) adding ATP regeneration enzyme, AK enzyme and adenosine in proportion to carry out an enzymatic reaction in an enzymatic reaction system; (2) separating the ATP regeneration enzyme and AK enzyme by either directly separating ATP regeneration enzyme and AK enzyme immobilized in a reaction tank, or separating free ATP regeneration enzyme and AK enzyme by an ultrafiltration membrane in a filter; and (3) separating and purifying the filtrate of step (2) to obtain a product. The disclosed method provides: greatly reduced industrial production costs; faster reaction rate; stable enzyme recovery system that is energy efficient and environmentally friendly; and capability of reusing the byproducts or collecting them for the production of ATP.

Abstract: A method for generating a training data set includes receiving, by a processing circuit, warranty claim data associated with one or more building devices or building device components; processing, by the processing circuit, the warranty claim data using natural language processing to generate a training data set comprising one or more causes and solutions associated with failure of the one or more building devices or the building device components; and training, by the processing circuit, a component reliability model using the training data set to produce a trained model.

Abstract: A method for training a fault probability model using warranty claim data includes obtaining, by a processing circuit, a first data set for failed building devices based on warranty claim data associated with the building devices; receiving, by the processing circuit, design change data associated with the building devices and determining a design change date based on the design change data; comparing, by the processing circuit, a manufacturing date for each of the failed building devices with the design change date; removing, by the processing circuit, any building devices from the first data set in response to the manufacturing date preceding the design change date to create an updated first data set; generating, by the processing circuit, a training data set comprising the updated first data set; and training, by the processing circuit, a fault probability model using the training data set to produce a trained model.

Abstract: A hypergraph user interface for interaction with a system for integrative causal modeling from natural language text and including a natural language text input element configured to receive a designation of a natural language text file or such a file. The input element causes the designation or natural language text file to be communicated to at least one natural language processing module. The hypergraph user interface further includes a causal hypergraph visualization element representative of directed hypergraph data generated from the at least one natural language processing module. Selection of a hypergraph element of the causal hypergraph representation causes the hypergraph user interface to communicate an indication of the hypergraph element to a querying module and generate an informative element indicative of at least one of a causal link, a causal statement, or a sentence of the at least one natural text file on which the hypergraph element is based.

Abstract: A method and a system for consolidating a subterranean formation are provided. An exemplary method includes injecting a water-in-oil emulsion into an unconsolidated subterranean formation, wherein the water-in-oil emulsion includes comonomers in an oil phase to form a polyurethane resin, and a catalyst in an aqueous phase. The method also includes allowing the polyurethane resin to cure to form a porous polymeric network.

Abstract: A failure prediction method and device for a storage device are provided. The method comprises: inputting SMART data of the storage device obtained in real time into each of a plurality of base classification models to obtain a classification result for the SMART data of the storage device obtained in real time that is output by the each classification model, wherein the each base classification model is obtained by training using historical SMART data of a plurality of storage devices and/or SMART data of the plurality of storage devices obtained online; determining whether the SMART data of the storage device obtained in real time is healthy data or erroneous data, based on classification results of the plurality of base classification models; predicting whether the storage device will fail, based on a number of SMART data that is determined as healthy data and a number of SMART data that is determined as erroneous data among SMART data of the storage device obtained within a predetermined time window.

Abstract: Disclosed in the embodiments of the present disclosure are a text input method and apparatus, and an electronic device and a storage medium. The method comprises: on the basis of a video to be edited, determining at least two recommended text items; displaying the at least two recommended text items in a first target area of an editing page of said video; and in response to a first trigger operation acting on a first recommended text item, displaying, in a text input area of the editing page, a first text that is comprised in the first recommended text item, wherein the first trigger operation is used for determining the selected first recommended text item from the at least two recommended text items.

Abstract: The invention includes methods of preventing or treating acute lung injury using a MAP3K2/MAP3K3 inhibitor. The invention further comprises compositions, and kits comprising compositions useful within the invention.

Abstract: The disclosure relates to an activity recognition method of a large receptive field (LRF) large-kernel attention convolution network based on a large receptive field, the method includes the following steps: collecting an action signal, carrying out a preprocessing and a data partition on the action signal to obtain a data set; and training an LRF large-kernel attention convolution network model based on the data set, and introducing a trained LRF large-kernel attention convolution network model into a mobile wearable recognition device for human posture recognition.

Abstract: A modification method of an anode for hydrogen production via electrolysis, the anode for hydrogen production via electrolysis and use thereof are provided. The modification method of the anode for hydrogen production via electrolysis includes providing an anode substrate which can be used for hydrogen production via catalytic electrolysis; and depositing a plurality of silver nano particles on the active surface of the anode substrate to form a silver nano layer, wherein gaps are present between the silver nano particles, and a part of the active surface is exposed from the gaps. In the modification method provided by the present application, the silver nano layer covers on the surface of the anode substrate, and chlorine ions are adsorbed onto the surface of silver in the process of hydrogen production via electrolysis to form a chlorine removal layer.

Abstract: A failure prediction apparatus and method for storage devices are provided, the method including: obtaining attribute information of a plurality of attributes for a plurality of storage devices during operation of a storage apparatus; obtaining global attribute information for each of the plurality of storage devices based on the attribute information of the plurality of attributes obtained within a first time window before the current time; and predicting failures for the plurality of storage devices using a trained machine-learning model based on attribute information of the plurality of attributes of each of the plurality of storage devices obtained within a second time window before the current time and the global attribute information of each of the plurality of storage devices.

Abstract: A computer determines a solution to a nonlinear optimization problem. A conjugate gradient (CG) iteration is performed with a first order derivative vector and a second order derivative matrix to update a CG residual vector, an H-conjugate vector, and a residual weight vector. A CG solution vector is updated using a previous CG solution vector, the H-conjugate vector, and the residual weight vector. An eigenvector of the second order derivative matrix having a smallest eigenvalue is computed. A basis matrix is defined that includes a cubic regularization (CR) solution vector, a CR residual vector, the CG solution vector, the CG residual vector, and the eigenvector. A CR iteration is performed to update the CR solution vector. The CR residual vector is updated using the first order derivative vector, the second order derivative matrix, and the updated CR solution vector. The process is repeated until a stop criterion is satisfied.

Abstract: An array substrate includes: a first substrate (10), including a plurality of sub-pixel regions (101) arranged in an array along a row direction (X) and a column direction (Y); a pixel circuit layer, including a plurality of sub-pixel circuits; a planarization layer (17), provided with a first via hole (170) located in the sub-pixel regions (101), and includes at least one pattern portion (171), the pattern portion (171) includes a plurality of pattern units (171a) arranged in an array along the row direction (X) and the column direction (Y); and a reflective electrode layer, wherein the reflective electrode layer includes a plurality of reflective electrodes (18) that are mutually disconnected, each of the reflective electrodes (18) is located in one of the sub-pixel regions (101) and is electrically connected to the sub-pixel circuit through the first via hole (170).

Abstract: Technology for identifying an object of interest includes obtaining object embeddings for a plurality of objects in an image, obtaining text embeddings for text associated with the image, determining, for each of the plurality of objects, a similarity score via a similarity model based on the text embeddings and the object embeddings, while bypassing use of bounding box coordinates, and selecting the object having the highest similarity score as the object of interest. In another example, technology for identifying an object of interest includes obtaining object embeddings for a plurality of objects in an image, obtaining text embeddings and text identifiers for text associated with the image, generating, via a single transformer encoder, a set of CLS embeddings based on the text embeddings and the object embeddings, and determining, via a neural network, the object of interest based on the CLS embeddings.

Abstract: An inferring device includes one or more memories and one or more processors. The one or more processors are configured to obtain three-dimensional structures of a plurality of molecules; and input the three-dimensional structures of the plurality of molecules into a neural network model and infer one or more physical properties of the plurality of molecules.