Abstract: The present disclosure provides a phased array antenna, including a waveguide radiation unit, a phase shifter unit and a waveguide power dividing unit, a radiation patch and a first waveguide feed structure in the waveguide radiation unit are the same in number, and a first transmission port of each first waveguide feed structure is arranged corresponding to the radiation patch; the waveguide power dividing unit includes second waveguide feed structures, and a first transmission port of each second waveguide feed structure corresponds to a second feed region of at least one phase shifter; each of the first waveguide feed structure and the second waveguide feed structures includes a ridge waveguide structure; the ridge waveguide structure is provided with at least one sidewall; defining a waveguide cavity of the ridge waveguide structure; at least one ridge protruding toward the waveguide cavity is arranged on the at least one sidewall.

Abstract: The present disclosure provides a sensing device. The sensing device includes a flexible element having a first sensing area, an electronic component embedded within the flexible element, and an adjustable conductive element disposed in the flexible element and configured to electrically connect the first sensing area of the flexible element with the electronic component.

Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

Abstract: The present application relates to a pregabalin sustained release composition, comprising: (a) an active ingredient; (b) a matrix-forming agent; (c) a swelling agent; (d) a gelling agent; and optionally a filler. The pregabalin sustained release composition provided in the present application can rapidly swell in volume when exposed to aqueous medium until exceeding the dimeter of human gastric pyloric (13 mm). It thereby prolongs the gastric emptying time to increase the retention time of pregabalin in the stomach and enhances absorption of pregabalin in the small intestine and ascending colon. Moreover, the pregabalin sustained release composition provided herein achieves a sustained release for 24 h, which allows QD (once a day) administration, reduces administration number, and improves patient compliance.

Abstract: Provided is an anti-TIGIT antibody or an antigen-binding fragment thereof. The antibody or the antigen-binding fragment thereof has a higher affinity for TIGIT, has functional characteristics in a plurality of aspects, and may be used alone or in combination with other reagents for treating cancers, and diseases related to immunity and inflammation.

Abstract: A wearable probe includes a sensor module and a control module. The sensor module includes a transmission source to transmit signals into the tissue at a source position, and two detectors to detect a result of the signals, the two detectors including a first detector positioned at a first separation distance from the source position and a second detector positioned at a second separation distance from the source position. The control module includes a controller and a battery to power the controller and the sensor module. The control module includes a processor, a memory including instructions, and a communications interface. The instructions cause the processor to control the sensor module to transmit signals into the tissue and detect results of the signals with the at least two detectors, receive the detected results, store the detected results in the memory, and transmit the detected results to a remote device.

Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.

Abstract: The present application relates to the field of biomedicines, in particular to an antibody targeting CD47 and an application thereof. The anti-CD47 antibody provided by the present application may specifically bind to tumor cells, block the signal of human SIRP? and human CD47, and promote the phagocytosis of the tumor cells by macrophages. The antibody has high affinity, strong specificity, and good safety. The red blood cell (RBC) agglutination is not caused, and it shows very weak binding to RBC and platelets.

Abstract: Provided are systems and methods for wireless, LCR-based, passive sensor systems for catheter or other implantable deployment using collapsible electromechanics. Each sensor system includes a deformable coil and a capacitive pressure sensor, collectively forming a LCR circuit having a self-resonant frequency. Multiple sensor systems may be implanted in a collapsible artificial valve to non-invasively detect the status of the collapsible artificial valve. Specifically, when the collapsible artificial valve is implanted in a mammal subject, antennas may be disposed on the skin of the mammal subject to wirelessly measure the self-resonant frequencies of the LCR circuits of the sensor systems. Thus, the blood pressure of the mammal subject may be calculated based on the self-resonant frequencies measured by the antenna, and the status of the collapsible artificial valve may be determined based on the blood pressure.

Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.

Abstract: A fixed-wing aerial underwater vehicle includes a shell component, a flight component and a pneumatic buoyancy component. The flight component includes a fixed wing and rotors, and the fixed wing and the rotors are mounted in the shell component. The pneumatic buoyancy component includes an air bladder and an inflation and deflation portion, and the inflation and deflation portion can inflate and deflate the air bladder. The air bladder is installed on the shell component, a containing space is formed in the shell component, and the inflation and deflation portion is partially or entirely installed in the containing space. Each rotor includes a rotor supporting rod, a motor base, a motor and a propeller, which are sequentially connected. A control method for the fixed-wing aerial underwater vehicle mentioned above is further provided.

Abstract: Embodiments of the present invention are directed to facilitating data preprocessing for machine learning. In accordance with aspects of the present disclosure, a training set of data is accessed. A preprocessing query specifying a set of preprocessing parameter values that indicate a manner in which to preprocess the training set of data is received. Based on the preprocessing query, a preprocessing operation is performed to preprocess the training set of data in accordance with the set of preprocessing parameter values to obtain a set of preprocessed data. The set of preprocessed data can be provided for presentation as a preview. Based on an acceptance of the set of preprocessed data, the set of preprocessed data is used to train a machine learning model that can be subsequently used to predict data.

Abstract: A microwave plasma chemical vapor deposition device for diamond synthesis. A microwave source generates a microwave signal, and a resonant cavity receives a plurality of process gases. The microwave signal is spread in a first mode at a first waveguide. A mode conversion antenna converts the first mode of the microwave signal into a second mode that is spread at a second waveguide. A coupling conversion cavity receives and transmits the microwave signal in the second mode to the mode conversion antenna thereby converting the second mode of the microwave signal into a third mode. A medium viewport receives the microwave signal in the third mode and transmits to the resonant cavity which enables the microwave signal to excite and discharge the process gases to form spherical plasma, carbon containing groups and atomic hydrogen thereby depositing a diamond film on a seed.

Abstract: Embodiments of the present invention are directed to facilitating search input recommendations. In accordance with aspects of the present disclosure, a set of events determined from raw machine data is obtained. The events are analyzed to generate a temporal map associated with the set of events. Generally, the temporal map associates candidate terms with temporally related terms that occur within a period of time corresponding with the candidate terms. A search term input into a search field is received. Based on the input search term, the temporal map is used to identify one or more temporally related term recommendations.

Abstract: The present application relates to a pregabalin sustained release composition, comprising: (a) an active ingredient; (b) a matrix-forming agent; (c) a swelling agent; (d) a gelling agent; and optionally a filler. The pregabalin sustained release composition provided in the present application can rapidly swell in volume when exposed to aqueous medium until exceeding the diameter of human gastric pyloric (13 mm). It thereby prolongs the gastric emptying time to increase the retention time of pregabalin in the stomach and enhances absorption of pregabalin in the small intestine and ascending colon. Moreover, the pregabalin sustained release composition provided herein achieves a sustained release for 24 h, which allows QD (once a day) administration, reduces administration number, and improves patient compliance.

Abstract: Example implementations are directed to systems and methods for a context aware conversational agent for self-learning. In an example implementation, a method includes generating a journaling model based on activity data and engagement data associated with one or more tasks of a user. The journaling model uses machine-learning to identify a context pattern using the activity data, and maps performance associated with the one or more tasks based at least on the engagement data. The method adaptively provides a prompt to gather additional engagement data based on the context pattern in view of real-time activity data, where the prompt is generated based on the journaling model. The journaling model is updated based on the additional engagement data.

Abstract: A caption of a multimodal message (e.g., social media post) can be identified as a named entity using an entity recognition system. The entity recognition system can use a visual attention based mechanism to generate a visual context representation from an image and caption. The system can use the visual context representation to identify one or more terms of the caption as a named entity.

Abstract: Disclosed herein is a computer-implemented tool that facilitates data analysis by use of machine learning (ML) techniques. The tool cooperates with a data intake and query system and provides a graphical user interface (GUI) that enables a user to train and apply a variety of different ML models on user-selected datasets of stored machine data. The tool can provide active guidance to the user, to help the user choose data analysis paths that are likely to produce useful results and to avoid data analysis paths that are less likely to produce useful results.