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: A head mountable display device includes a frame, a lens movably coupled to the frame, and a curtain assembly extending between the frame and the lens. The curtain assembly includes a first fabric layer having a first surface area and defining an external surface and a second fabric layer having a second surface area greater than the first surface area.

Abstract: The present invention provides a pharmaceutical composition containing meloxicam, a preparation method thereof, and an application thereof. The pharmaceutical composition includes meloxicam, a composite solvent, and an acidic pH regulator. The composite solvent includes a polymer compound, an alkaline compound, and an aqueous solution. The polymer compound is selected from cyclodextrin or synthetic cyclodextrin and derivatives thereof. The meloxicam composition of the present invention does not contain any organic solvent, which can effectively avoid generation of adverse reactions of pharmaceutical formulations, make drug use safer, and at the same time also reduce the environmental pollution during the preparation process of the drug.

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: 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 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: An original sample set is acquired, the original sample set includes a plurality of original dialog samples, and each original dialog sample includes a round of dialog having at least two speaking turns from different speakers. The plurality of original dialog samples are reconstructed to obtain at least an adversarial sample set associated with a perturbation attack scope, each original dialog sample is modified according to the perturbation attack scope to reconstruct a modified dialog sample in the adversarial sample set. A first test of a dialog understanding model is performed by using the original sample set to obtain original evaluation data. A second test of the dialog understanding model is performed by using the adversarial sample set to obtain adversarial evaluation data. A robustness analysis result is determined according to a change of the adversarial evaluation data with respect to the original evaluation data.

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: A crop-livestock circulation system, including a planting greenhouse, a fish pond and a livestock greenhouse. A rear portion of the livestock greenhouse is provided with a drinking trough. A first side of the livestock greenhouse is provided with a scraper. A portion of a bottom plate close to a second side of the livestock greenhouse is provided with a collection port. A bottom of the collection port is provided with a manure collection trough connected to a fermentation treatment chamber. The fish pond is provided with a sewage discharge port connected to a sewage collection unit. The sewage collection unit is connected to the fermentation treatment chamber. The fermentation treatment chamber is connected to a conveying unit, which is connected to a spraying device. The spraying device is provided in the planting greenhouse.

Abstract: A nanocrystalline preparation and a preparation method therefor, the nanocrystalline preparation containing a ROCK2 inhibitor and a stabilizer. The present invention also relates to use of the nanocrystalline preparation in the prevention, alleviation, and/or treatment of selected diseases and medical conditions, especially diseases such as idiopathic pulmonary fibrosis, fatty liver disease and/or steatohepatitis, post-hematopoietic stem cell transplantation graft versus host disease or viral infection.

Abstract: A sentence generation method is provided. In the sentence generation method, a first sentence representation vector of a first sentence is encoded to obtain a first semantic representation vector and a perturbation weight vector. The first sentence representation vector is determined based on a character vector of each respective character in the first sentence. The first semantic representation vector indicates a plurality of semantics of the first sentence. The perturbation weight vector is configured to control a perturbation of the first semantic representation vector by a pre-determined perturbation vector. The first semantic representation vector is perturbed based on the perturbation weight vector and the perturbation vector, to obtain a second semantic representation vector. The second semantic representation vector is decoded to obtain a second sentence. Apparatus and non-transitory computer-readable storage medium counterpart aspects are also contemplated.

Abstract: The present application relates to the technical field of biomedicines, and particularly to a bispecific fusion polypeptide. The bispecific fusion polypeptide comprises an antigen-binding moiety. The antigen-binding moiety comprises a first antigen-binding moiety comprising a first polypeptide comprising a first heavy chain variable domain VH1 of a first antibody from the N terminus to the C terminus, which is operably linked to a first conjugate fragment; and a second polypeptide comprising a first light chain variable domain VL1 of the first antibody from the N terminus to the C terminus, which is operably linked to a second conjugate fragment, wherein the first conjugate fragment and the second conjugate fragment are capable of specifically binding; and the first conjugate fragment is a receptor and the second conjugate fragment is a ligand; or the first conjugate fragment is a ligand and the second conjugate fragment is a receptor.

Abstract: Provided are an IL-10 monomer fusion protein and use thereof, which relate to the field of biomedicine. The fusion protein includes an antibody and an IL-10 monomer. The fusion protein of the present disclosure has a relatively strong targeting property, so that the safety is remarkably improved. Moreover, the protein may effectively treat or prevent various tumors or inflammatory diseases.

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.

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 disclosure relates to the field of biomedicine, in particular to an anti-PD-L1 antibody and the use thereof. The anti-PD-L1 antibody or the antigen-binding fragment thereof provided in the present disclosure binds to a PD-L1 protein with a high affinity and high specificity, can effectively block the interaction between PD-L1 expressed on a cell surface and PD-1, and has the biological function activity of stimulating the production of cytokine, and has wide application prospects.

Abstract: The present application relates to the field of biomedical technology, and specifically, provides an anti-PD-1 humanized antibody or an antigen-binding fragment thereof and an application thereof. The antibody can efficiently and specifically bind to PD-1, and can effectively block the binding of the PD-1 to PD-L1 and PD-L2. Therefore, the antibody or antigen-binding fragment thereof, and its related nucleic acid, vector, cell or pharmaceutical composition can be used to prepare a medicament for the treatment of PD-1-mediated diseases or conditions.

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: 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.