Abstract: Methods and systems for inspecting a photomask are provided. One system includes an illumination subsystem configured to direct light to the photomask. The system also includes a pupil filter positioned in a path of only the light from the photomask and configured for controlling a polarization of the light in the path by mixing four elements in a Jones matrix for the photomask in a coherent manner. In addition, the system includes a detector configured for detecting the light from the pupil filter and generating output responsive to the detected light. The system further includes a computer subsystem configured for detecting defects on the photomask based on the output.

Abstract: A system for training a drive system for an autonomous vehicle (AV) includes one or more computing devices configured to output a first drive plan and a second drive plan using an initial autonomous drive system (ADS) and an initial behavior foundation system (BFS). The computing devices is configured to generate a system-to-system (SS) loss between the initial ADS and the initial BFS using data from the respective system, and generate a module task loss for each system using respective drive plan and respective ground truth data. The computing devices is configured to adjust tunable parameters of the initial ADS and/or tunable parameters of the initial BFS to reduce a total loss provided by the SS loss and the module task loss. The initial ADS and/or the initial BFS is outputted as a trained drive system to be employed for the AV in response to the total loss being reduced.

Abstract: A Bird's Eye View (BEV)-based object detection framework for autonomous vehicles. The disclosed embodiments pretrain a diffusion model system on BEV representations generated from sensor data, such as cameras, LiDARs, and radars. The pretrained diffusion model system may be integrated into the BEV generation network to denoise BEV features through a supervision loss mechanism during training. This approach enhances the quality of BEV representations used in downstream tasks, such as object detection and trajectory prediction, without introducing any incremental computational cost during run-time.

Abstract: Methods and systems for training an end-to-end autonomous driving system using a vision-language planning (VLP) machine learning model in a closed-loop environment. Images associated with an environment about a vehicle are generated, and a BEV model is executed to generate a BEV view based on the images. A planning model predicts navigation trajectories based on the BEV. The VLP model enhances the system by extracting vision-based planning features, generating text prompts, and employing a language encoder to create text-based expectation features. A contrastive learning model identifies similarities between vision and text features, boosting the performance of the BEV and planning models. The system undergoes closed-loop evaluation in a simulated environment, capturing metrics to refine the autonomous driving system.

Abstract: Provided are an antigen-binding molecule specifically binding to GUCY2C and CD3 and pharmaceutical use thereof. The antigen-binding molecule can be used for treating tumor.

Abstract: A recipe generation system may include a controller with one or more processors configured to execute program instructions. The instructions may cause the processors to generate a performance matrix for one or more defect types. The performance matrix may include inspection data generated with multiple polarization states of illumination light associated with rotational positions of at least two waveplates in a polarization controlling optics of an inspection system. The polarization controlling optics may include a polarizing beam splitter and the waveplates. The system may generate inspection data by propagating illumination light through the optics to the sample and capturing light from the sample by a detector through the optics. The processors may identify a run-time polarization state satisfying an inspection tolerance and generate an inspection recipe using the run-time polarization states.

Abstract: The invention concerns a hot melt adhesive composition comprising: i) a first metallocene-catalyzed propylene-based copolymer; ii) a second metallocene-catalyzed propylene-based copolymer; iii) a polyolefin copolymer selected from the group consisting of: iii-1) acid-grafted polyolefin copolymer; iii-2) a copolymer based on olefins and unsaturated monomers containing acid groups or anhydride groups; and iii-3) mixtures thereof; iv) a tackifier; v) optionally a third metallocene-catalyzed propylene-based copolymer, wherein each of the metallocene-catalyzed propylene-based copolymers i) and ii) comprises, independently of each other, from 1% to 20% by weight of ethylene units.

Abstract: The present disclosure relates to an antigen-binding molecule specifically binding to DLL3 and CD3, and pharmaceutical use thereof. The antigen-binding molecule can be used for treating cancers.

Abstract: The present disclosure relates to a meta-learning strategy based method for early warning of attenuation of a bearing capacity of a soft soil pile foundation. The method includes: S1, building a loop loading test device; S2, setting up a data set; S3, building and training a base model; S4, introducing a meta-learning strategy into the base model obtained in S3, inputting a pre-training data set for pre-training, and obtaining a pre-trained model; and S5, inputting a target data set into the pre-training data set for pre-training, and obtaining a model prediction result. The method constructs an intelligent early warning model with fast adaptability, such that the intelligent early warning model can make full use of existing engineering experience.

Abstract: The application relates to a fluidized adsorption device and a fluidized adsorption method for sewage treatment. The fluidized adsorption device comprises a fluidized adsorption column and a reflux device, wherein the fluidized adsorption column is consisted of a water outlet area, a fluidized adsorption area and a water inlet area from top to bottom; the reflux device includes top, middle and bottom reflux ports, and related reflux tubes; and the top reflux port and the bottom reflux port are activated during adsorption, and the middle reflux port and the bottom reflux port are activated during adsorbent replacement, such that the fluidized adsorption column can run continuously.

Abstract: Provided are an anti-PD-1 antibody, an antigen-binding fragment thereof, and a pharmaceutical use thereof. Specifically, provided are a humanized anti-PD-1 antibody containing a specific CDR region and an antigen-binding fragment thereof, a pharmaceutical composition containing the anti-PD-1 antibody and the antigen-binding fragment thereof, and a used thereof as medicament. In particular, provided is a use of the humanized anti-PD-1 antibody in the preparation of the medicament for treating PD-1 associated diseases or disorders.

Abstract: Methods and systems for optimizing an action policy of an autonomous vehicle machine learning model. Images are generated corresponding to an environment about a vehicle. These images are passed through an image encoder to generate image-based embeddings of the current state of the vehicle. A text prompt representing a goal of the autonomous vehicle is passed through a text encoder to generate text-based embeddings of the goal. A similarity score is determined, representing a similarity between the image-based embeddings of the current state and the text-based embeddings of the goal. A reinforcement learning model for a closed-loop autonomous driving task is executed, with the similarity score used as the reward function. An action policy corresponding to a control of the vehicle is optimized based on the reward function.

Abstract: The invention relates to a hot-melt pressure sensitive adhesive composition comprising at least one styrenic block copolymer, at least one tackifying resin, at least one mineral oil and from 4 to 15% by weight of at least one wax selected from the group consisting of paraffin waxes, Fischer-Tropsch waxes, ethylene-vinyl acetate waxes and any mixture thereof, based on the total weight of the hot-melt pressure sensitive adhesive composition. The invention also relates to an article comprising a surface coated with such a hot-melt pressure sensitive adhesive composition, to a use of such a hot-melt pressure sensitive adhesive composition and to a process for preparing such a hot-melt pressure sensitive adhesive composition.

Abstract: The invention provides compounds of formula (I) and salts thereof, wherein R1, L1, A, RA, n, L2, and R2 have any of the values defined in the specification, as well as compositions comprising the compounds and methods for their use.

Abstract: The invention relates to a hot melt adhesive composition comprising a polymer component, the polymer component comprising at least one styrene-butadiene-styrene block copolymer P having a styrene content from 35 to 50% by weight: a styrene-butadiene diblock content from 50 to 80% by weight; and a viscosity of a 15% by weight toluene solution at 25° C. of 20 to 40 mPa·s, and at least one styrene block copolymer other than a styrene-butadiene-styrene block copolymer, wherein said styrene-butadiene-styrene block copolymer P is at a content from 10 to 40% by weight relative to the total weight of the polymer component. The invention also relates to the use of said composition as an adhesive for bonding two substrates, and to articles comprising at least one interior or exterior surface coated with said composition.

Abstract: A method is disclosed; the method may comprise: receiving, at each of a plurality of network computers, a security message from a gateway computer, wherein the security message identifies a current mode of the vehicle, wherein the current mode is indicative of a vehicle state; storing the current mode; receiving a data message; and based on the current mode, determining whether to accept the data message.

Abstract: The invention provides certain nucleic acids (e.g., double stranded siRNA molecules), as well as conjugates that comprise a targeting moiety, a double stranded siRNA, and optional linking groups. Certain embodiments also provide synthetic methods useful for preparing the conjugates. The conjugates are useful to target therapeutic double stranded siRNA to the liver and to treat liver diseases including hepatitis (e.g. hepatitis B and hepatitis D).

Abstract: Devices, systems, and methods a method for simulating a trajectory of an object are described. An example method includes obtaining a context feature representation corresponding to context information, wherein the context information comprises information describing an environment of the object; obtaining a control feature representation corresponding to control information, wherein the control information comprises information that the simulated trajectory needs to satisfy; determining a latent variable using an input encoder based on the context feature representation and the control feature representation; and determining the simulated trajectory by inputting the latent variable, the context feature representation, and the control feature representation into a decoder.

Abstract: Systems and methods for utilizing laboratory equipment in a hybrid reality environment or augmented virtual reality environment, are contemplated herein and include: at least one piece of laboratory equipment having at least one feature, wherein the at least one piece of laboratory equipment is tracked; a tracking module for tracking a position and an orientation of the at least one piece of tracked laboratory equipment; a virtual model, stored in a memory, comprising at least one 3-D virtual representation of the at least one feature of the at least one piece of laboratory equipment; and an experimentation module.

Abstract: Embodiments are described for a code generating system comprising a memory and at least one processor coupled to the memory. The at least one processor is configured to receive an instruction to generate a source code and retrieve the code profile from a profile manager. The instruction include a user description and information of a code profile. The at least one processor is further configured to generate a first command by combining the user description and the code profile and transmit the first command to an artificial intelligence (AI) proxy. Finally, the at least one processor is configured to receive the source code from the AI proxy and transmit the source code to a user device.