Abstract: Disclosed is a 1,3-bisisocyanatomethylcyclohexane composition and an optical resin prepared therefrom. The composition comprises, based on the weight of 1,3-bisisocyanatomethylcyclohexane, a) 65%-95 wt % of trans-1,3-bisisocyanatomethylcyclohexane; b) greater than 0 and less than or equal to 0.5 wt %, preferably 0.02-0.5 wt % of 1,4-bisisocyanatomethylcyclohexane. Preferably, the 1,3-bisisocyanatomethylcyclohexane composition contains greater than 0 and less than or equal to 600 ppm of 1-isocyanatomethyl-3-methylcyclohexane, based on the weight of 1,3-bisisocyanatomethylcyclohexane. The 1,3-bisisocyanatomethylcyclohexane composition is used for preparing an optical resin, which can be applied to produce an optical lens with a better performance in preventing opacification and optical distortion.

Abstract: The present disclosure discloses an apparatus and a method for detecting a facial pose, an image processing system, and a storage medium. The apparatus comprises: an obtaining unit to obtain at least three keypoints of at least one face from an input image based on a pre-generated neural network, wherein coordinates of the keypoints obtained via a layer in the neural network for obtaining coordinates are three-dimensional coordinates; and a determining unit to determine, for the at least one face, a pose of the face based on the obtained keypoints, wherein the determined facial pose includes at least an angle. According to the present disclosure, the accuracy of the three-dimensional coordinates of the facial keypoints can be improved, thus the detection precision of a facial pose can be improved.

Abstract: A computing system can receive location data from a computing device of a driver. Based at least in part on the location data, execute a location-based feasibility model to determine that one or more anomalous locational attributes are present, where the location-based feasibility model outputs a probability that the computing device of the respective driver is performing location-spoofing. Based on the probability indicating that the computing device of the driver is performing location-spoofing, the system associates a data set with a driver profile of the respective driver.

Abstract: A bi-direction optical subassembly, a combo optical module and an optical network device are provided. The bi-direction optical subassembly includes a first transmitter, a second transmitter, a first receiver, and a second receiver. A first optical transmission port, a second optical transmission port, a first optical reception port, and a second optical reception port are encapsulated in the main body. The first optical transmission port and the first optical reception port are arranged on a same side of the main body, which optimizes a structural layout and reduces the number of flexible circuit boards.

Abstract: Disclosed are an SOS1 degrading agent and a preparation method therefor and use thereof. Specifically, disclosed is a compound of formula I: S-L-E (I), wherein L is a linking chain, which links S and E by means of covalent bonds; E is a small molecule ligand of an E3 ubiquitin ligase complex. The compound of formula I of the present invention can degrade and/or inhibit SOS1 protein in cells, and can be used for the treatment and/or prevention of an SOS1-mediated disease or disorder, or a disease or disorder caused by the interaction of SOS1 with Ras or SOS1 with Rac.

Abstract: Disclosed are an SOS1 degrading agent and a preparation method therefor and use thereof. Specifically, disclosed is a compound of formula I: S-L-E(I), wherein L is a linking chain, which links S and E by means of covalent bonds; E is a small molecule ligand of an E3 ubiquitin ligase complex; and S is the structure shown in S7. The compound of formula I of the present invention can degrade and/or inhibit SOS1 protein in cells, and can be used for the treatment and/or prevention of an SOS1-mediated disease or disorder, or a disease or disorder caused by the interaction of SOS1 with Ras or SOS1 with Rac.

Abstract: A preparation method of a high-entropy covalent organic framework compound (COF) is provided, specifically, at room temperature under ultrasonic conditions, trialdehyde phloroglucinol (Tp), 2,5-dibromo-p-phenylenediamine, 2,5-dichloro-p-phenylenediamine, 2-(trifluoromethyl)-1,4-phenylenediamine and p-phenylenediamine are dispersed in the mixed solution of o-dichlorobenzene and n-butanol; the appropriate amount of acetic acid and deionized water are added to the above solution after ultrasonic dispersion; and vacuuming for 5 min under liquid nitrogen freezing conditions, then thawing, so cycle 3 times, and then reacting in an oven at 120° C. for 72 h. The prepared samples are washed with dichloromethane, and the samples are collected in a vacuum oven at 80° C. overnight.

Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.

Abstract: Systems and methods for providing remote farm damage assessment are provided herein. In some embodiments, a system and method for providing remote farm damage assessment may include, determining a set of damage assessment locales for damage assessment; incorporating the set of damage assessment locales into a workflow; providing the workflow to a user device; receiving a first set of damage assessment images from the user device based on the workflow provided, wherein each of the first set of damage assessment images includes geolocation information and camera information; determining a damage assessment based on the first set of damage assessment images using a damage assessment machine learning model; and outputting a damage assessment indication including one or more of whether there is damage, a confidence level of assessing the damage, or a confidence level associated with the level of damage.

Abstract: Text input data may be aggregated and mapped to create composite text input data for electronic records. A semantic event may be automatically detected, triggered by a semantic rule and associated semantic tag. The detected semantic event may be flagged, and a text mining result database may be updated by adding an entry to the database. An indication associated with the event may be transmitted, and a back-end application computer server may establish a hierarchy for multiple elements of the electronic records. The computer server may determine a weight variable and response variable for each element in the hierarchy and apply a hierarchical credibility weighting methodology to the elements from level 1, representing the least granular level in the hierarchy, to level n, representing the most granular level in the hierarchy, calculated recursively from level n, to determine a final estimated credibility for the electronic records.

Abstract: A method, apparatus and system for artificial intelligence-based HDRL planning and control for coordinating a team of platforms includes implementing a global planning layer for determining a collective goal and determining, by applying at least one machine learning process, at least one respective platform goal to be achieved by at least one platform, implementing a platform planning layer for determining, by applying at least one machine learning process, at least one respective action to be performed by the at least one of the platforms to achieve the respective platform goal, and implementing a platform control layer for determining at least one respective function to be performed by the at least one of the platforms. In the method, apparatus and system despite the fact that information is shared between at least two of the layers, the global planning layer, the platform planning layer, and the platform control layer are trained separately.

Abstract: A computing system can receive location data from a computing device of a driver. Based at least in part on the location data, execute a location-based feasibility model to determine that one or more anomalous locational attributes are present, where the location-based feasibility model outputs a probability that the computing device of the respective driver is performing location-spoofing. Based on the probability indicating that the computing device of the driver is performing location-spoofing, the system associates a data set with a driver profile of the respective driver.

Abstract: A computing system can receive location data from computing devices of drivers, each of the computing devices operating a designated application associated with an application service. The system can determine a set of locational attributes of a respective driver and determine whether one or more anomalous locational attributes are present in the set of locational attributes of the respective driver. In response to determining that one or more anomalous locational attributes are present, the system can associate a data set with a driver profile of the respective driver.

Abstract: An ionic aqueous epoxy curing agent, a preparation method therefor and the use thereof. The aqueous epoxy curing agent is prepared by reacting the following raw materials in parts by weight: a) 1 part of a polyepoxy compound, b) 1.3-6 parts of a multifunctional compound, c) 0.2 to 1.25 parts of a monoepoxy compound, and d) 0.01 to 0.23 parts of a sultone, wherein the multifunctional compound has four or more active hydrogens. The curing agent obtained has a good hydrophilic effect and very good thinning performance, the paint film prepared by mixing same with an epoxy dispersion has the following advantages: excellent salt spray resistance and water resistance, strong adhesion, high hardness, etc.; in addition, the preparation process of the curing agent is simple, the conditions are mild, and room temperature curing is carried out.

Abstract: Disclosed is a 1,3-bisisocyanatomethylcyclohexane composition and an optical resin prepared therefrom. The composition comprises, based on the weight of 1,3-bisisocyanatomethylcyclohexane, a) 65%-95 wt % of trans-1,3-bisisocyanatomethylcyclohexane; b) greater than 0 and less than or equal to 0.5 wt %, preferably 0.02-0.5 wt % of 1,4-bisisocyanatomethylcyclohexane. Preferably, the 1,3-bisisocyanatomethylcyclohexane composition contains greater than 0 and less than or equal to 600 ppm of 1-isocyanatomethyl-3-methylcyclohexane, based on the weight of 1,3-bisisocyanatomethylcyclohexane. The 1,3-bisisocyanatomethylcyclohexane composition is used for preparing an optical resin, which can be applied to produce an optical lens with a better performance in preventing opacification and optical distortion.

Abstract: A method for performing illumination color prediction on an image in a neural network model, comprising: inputting an image to the neural network model; extracting a semantic-based illumination color feature of the image and a statistical rule-based illumination color feature of the image; and predicting an illumination color of the image according to the semantic-based illumination color feature and the statistical rule-based illumination color feature.

Abstract: Provided are broadly neutralizing antibodies (bNAbs) and antigen binding fragments thereof that bind with specificity to epitopes expressed by Hepatitis B vims (HBV). The bNAbs target non-overlapping epitopes on the HBV S antigen (HBsAg). Pharmaceutical compositions that contain the bNAbs, or modified bNAbs, are provided. Combinations of the bNAbs are included, and are useful for prophylaxis and therapy of HBV infection, and for inhibiting development of HBV escape mutations in infected individuals. Expression vectors encoding the bNAbs and antigenic fragments of them are included, as are methods of making the bNAbs and antigenic fragments of them. HBV peptides for use as vaccines are provided, and include at least two non-overlapping epitopes from the HBsAg. Diagnostic reagents comprising the bNAbs or antigenic fragments thereof are provided, as are methods of detecting HBV and diagnosing HBV infection.

Abstract: The present disclosure discloses an apparatus and a method for detecting a facial pose, an image processing system, and a storage medium. The apparatus comprises: an obtaining unit to obtain at least three keypoints of at least one face from an input image based on a pre-generated neural network, wherein coordinates of the keypoints obtained via a layer in the neural network for obtaining coordinates are three-dimensional coordinates; and a determining unit to determine, for the at least one face, a pose of the face based on the obtained keypoints, wherein the determined facial pose includes at least an angle. According to the present disclosure, the accuracy of the three-dimensional coordinates of the facial keypoints can be improved, thus the detection precision of a facial pose can be improved.

Abstract: An automatic urban land identification system integrating business big data with building forms, including a data acquiring and inputting module, a database construction module, a machine learning training module, an automatic identification module, and a data outputting module. The system automatically identifies an urban land by extracting a data distribution feature of an urban business site and a multi-dimensional form feature of an urban spatial three-dimensional entity. The system can be used for the determining of land usage of an urban plot in the field of urban planning and design, to achieve efficient and automatic refined identification of land usages of cities of different scales based on an artificial intelligence system, providing an efficient and convenient surveying and mapping approach and reference for surveying and mapping of the current urban construction land, and effectively saving time costs of manual surveying and mapping.

Abstract: An ionic aqueous epoxy curing agent, a preparation method therefor and the use thereof. The aqueous epoxy curing agent is prepared by reacting the following raw materials in parts by weight: a) 1 part of a polyepoxy compound, b) 1.3-6 parts of a multifunctional compound, c) 0.2 to 1.25 parts of a monoepoxy compound, and d) 0.01 to 0.23 parts of a sultone, wherein the multifunctional compound has four or more active hydrogens. The curing agent obtained has a good hydrophilic effect and very good thinning performance, the paint film prepared by mixing same with an epoxy dispersion has the following advantages: excellent salt spray resistance and water resistance, strong adhesion, high hardness, etc.; in addition, the preparation process of the curing agent is simple, the conditions are mild, and room temperature curing is carried out.