Abstract: Provided is a method of producing monophosphoryl lipid A (MPLA). According to the method, MPLA may be produced with high purity and high purity by using a bacterium producing MPLA.

Abstract: A method and system for capturing, by a camera a sequence of frames at respective locations within a portion of an environment; capturing, by an inertial measurement unit, a sequence of inertial odometry data corresponding to the sequence of frames at the respective locations; storing in a queue a data record includes information extracted from processing the respective frame and information from the inertial measurement unit; in accordance with a determination that the sequence of inertial odometry data satisfies a first criterion: calculating a first relative pose between the first frame and the second frame; and in accordance with a determination that a difference between the first relative pose and the information extracted from processing the respective frame satisfy a first threshold: generating an initial map of the portion of the environment based on the first data record and the second data record.

Abstract: A method for interacting with an object includes identifying, via a keypoint classifier, one or more uncertainty regions in an environment based on an estimated trajectory of an object in the environment. The method also includes planning an interaction with the object based on identifying the one or more uncertainty regions, the planned interaction being within a region of the environment that is different from the one or more uncertainty regions. The method further includes interacting with the object based on planning the interaction.

Abstract: Provided is a vaccine composition for preventing respiratory syncytial virus (RSV) infection, which is in the form of a liposome formulation including a RSV antigen, monophosphoryl lipid A (MLA), and/or a cobalt-porphyrin-phospholipid (CoPoP) conjugate. The vaccine composition exhibits excellent vaccine efficacy from a RSV antigen with enhanced immunogenicity and a combination of immune adjuvants for enhancing immune activity and antigen presentation.

Abstract: Provided are a vaccine composition for Varicella Zoster virus (VZV) including a glycoprotein E (gE) antigen of VZV and monophosphoryl lipid A (MLA), and a method of using the same. The vaccine composition according to an aspect of the invention may significantly improve a production yield by including the gE antigen having an optimized signal peptide sequence, may enhance immunogenicity by including MLA, and may further enhance the immunogenicity enhanced by MLA by further adding saponin such as QS-21, and may be prepared in a form of CoPoP liposomes so that vaccine antigens may be presented on the surface of the liposomes for better absorption by antigen-presenting cells, and vaccine efficacy may be maximized by inclusion of the vaccine antigens and immune adjuvants in a formulation. Therefore, the vaccine composition may be useful as an alternative to current vaccines in the art for prevention or treatment of VZV infection.

Abstract: System and method for reducing false negatives in object detection, including: extracting an object of interest from a respective image in a first set of training data that includes in distribution (ID) data. For each of the object of interest extracted from the respective image in the first set of training data: fusing the object of interest with an image from a second set of data that does not include any objects of interest to form a fused image; adding the fused image to the training data; and using the training data to train a detection model for object detection.

Abstract: System and method for reducing false negatives in object detection, including: extracting an object of interest from a respective image in a first set of training data that includes in distribution (ID) data. For each of the object of interest extracted from the respective image in the first set of training data: fusing the object of interest with an image from a second set of data that does not include any objects of interest to form a fused image; adding the fused image to the training data; and using the training data to train a detection model for object detection.

Abstract: A method and system for capturing, by a camera a sequence of frames at respective locations within a portion of an environment; capturing, by an inertial measurement unit, a sequence of inertial odometry data corresponding to the sequence of frames at the respective locations; storing in a queue a data record includes information extracted from processing the respective frame and information from the inertial measurement unit; in accordance with a determination that the sequence of inertial odometry data satisfies a first criterion: calculating a first relative pose between the first frame and the second frame; and in accordance with a determination that a difference between the first relative pose and the information extracted from processing the respective frame satisfy a first threshold: generating an initial map of the portion of the environment based on the first data record and the second data record.

Abstract: System and method for providing visual-aided placement recommendation includes obtaining images of a rack configured to hold objects inside a chamber, placement of the plurality of objects on the rack being subject to preset constraints corresponding to characteristics of respective objects of the plurality of objects relative to physical parameters of respective locations on the rack; analyzing the images to determine whether the preset constraints have been violated by placement of objects on the rack; and in accordance with a determination that at least one preset constraint has been violated, generating a first output providing a guidance on proper placement of the first object on the rack that complies with the one or more preset constraints, in accordance with the physical characteristics of the first object relative to the physical parameters of the respective locations on the rack, taking into account of other objects already placed on the rack.

Abstract: Provided is a method of producing monophosphoryl lipid A (MPLA). According to the method, MPLA may be produced with high purity and high purity by using a bacterium producing MPLA.

Abstract: System and method for controlling a machine, including: receiving a first image processing model trained to classify an input image into a first class for images containing at least one object of a first type or a second class for images not containing an object of the first type; identifying a subset of inference results that are false positive results; generating a set of new training data from the first set of images, including augmenting an image in the first set of images to obtain a respective plurality of images and labeling the respective plurality of images as containing at least one object of a pseudo first class; training a second image processing model to classify an input image into the first class, the second class, and the first pseudo class; and modifying a device setting of a machine based on an inference result of the second image processing model.

Abstract: A radiation protector is disclosed for protecting against radiation having a wavelength, which may include a front panel portion that includes a flexible carbon fiber layer having an outer edge and a back panel portion that includes a base layer mobile device having an outer edge. The outer edges of each of the flexible carbon fiber layer and base layer extend from edges of an electronic device having an antenna and removably positioned within a device housing on the base layer by a width w, wherein the width w is a fraction of a the wavelength of the radiation emitted by the antenna, and wherein the width w is between 0.5 and 2.5 centimeters from each of front, back, top and bottom sides of the electronic device.

Abstract: A method includes: capturing one or more images of an unorganized collection of items inside a first machine; determining one or more item types of the unorganized collection of items from the one or more images, comprising: dividing a respective image in the one or more images into a respective plurality of sub-regions; performing feature detection on the respective plurality of sub-regions to obtain a respective plurality of regional feature vectors, wherein a regional feature vector for a sub-region indicates characteristics for a plurality of predefined local item features for the sub-region; generating an integrated feature vector by combining the respective plurality of regional feature vectors; and applying a plurality of binary classifiers to the integrated feature vector; and selecting a machine setting for the first machine based on the determined one or more clothes type in the unorganized collection of items.

Abstract: A method includes: capturing one or more images of an unorganized collection of items inside a first machine; determining one or more item types of the unorganized collection of items from the one or more images, comprising: dividing a respective image in the one or more images into a respective plurality of sub-regions; performing feature detection on the respective plurality of sub-regions to obtain a respective plurality of regional feature vectors, wherein a regional feature vector for a sub-region indicates characteristics for a plurality of predefined local item features for the sub-region; generating an integrated feature vector by combining the respective plurality of regional feature vectors; and applying a plurality of binary classifiers to the integrated feature vector; and selecting a machine setting for the first machine based on the determined one or more clothes type in the unorganized collection of items.

Abstract: System and method for providing visual-aided placement recommendation includes obtaining images of a rack configured to hold objects inside a chamber, placement of the plurality of objects on the rack being subject to preset constraints corresponding to characteristics of respective objects of the plurality of objects relative to physical parameters of respective locations on the rack; analyzing the images to determine whether the preset constraints have been violated by placement of objects on the rack; and in accordance with a determination that at least one preset constraint has been violated, generating a first output providing a guidance on proper placement of the first object on the rack that complies with the one or more preset constraints, in accordance with the physical characteristics of the first object relative to the physical parameters of the respective locations on the rack, taking into account of other objects already placed on the rack.

Abstract: System and method for controlling a machine, including: receiving a first image processing model trained to classify an input image into a first class for images containing at least one object of a first type or a second class for images not containing an object of the first type; identifying a subset of inference results that are false positive results; generating a set of new training data from the first set of images, including augmenting an image in the first set of images to obtain a respective plurality of images and labeling the respective plurality of images as containing at least one object of a pseudo first class; training a second image processing model to classify an input image into the first class, the second class, and the first pseudo class; and modifying a device setting of a machine based on an inference result of the second image processing model.

Abstract: Methods and systems for aligning images for a specimen acquired with different modalities are provided. One method includes acquiring information for a specimen that includes at least first and second images for the specimen. The first image is acquired with a first modality different than a second modality used to acquire the second image. The method also includes inputting the information into a learning based model. The learning based model is included in one or more components executed by one or more computer systems. The learning based model is configured for transforming one or more of the at least first and second images to thereby render the at least the first and second images into a common space. In addition, the method includes aligning the at least the first and second images using results of the transforming. The method may also include generating an alignment metric using a classifier.

Abstract: Methods and systems for determining parameter(s) of a metrology process to be performed on a specimen are provided. One system includes one or more computer subsystems configured for automatically generating regions of interest (ROIs) to be measured during a metrology process performed for the specimen with the measurement subsystem based on a design for the specimen. The computer subsystem(s) are also configured for automatically determining parameter(s) of measurement(s) performed in first and second subsets of the ROIs during the metrology process with the measurement subsystem based on portions of the design for the specimen located in the first and second subsets of the ROIs, respectively. The parameter(s) of the measurement(s) performed in the first subset are determined separately and independently of the parameter(s) of the measurement(s) performed in the second subset.

Abstract: Methods and systems for determining parameter(s) of a metrology process to be performed on a specimen are provided. One system includes one or more computer subsystems configured for automatically generating regions of interest (Rats) to be measured during a metrology process performed for the specimen with the measurement subsystem based on a design for the specimen. The computer subsystem(s) are also configured for automatically determining parameter(s) of measurement(s) performed in first and second subsets of the ROIs during the metrology process with the measurement subsystem based on portions of the design for the specimen located in the first and second subsets of the ROIs, respectively. The parameter(s) of the measurement(s) performed in the first subset are determined separately and independently of the parameter(s) of the measurement(s) performed in the second subset.

Abstract: Methods and systems for determining parameter(s) of a metrology process to be performed on a specimen are provided. One system includes one or more computer subsystems configured for automatically generating regions of interest (ROIs) to be measured during a metrology process performed for the specimen with the measurement subsystem based on a design for the specimen. The computer subsystem(s) are also configured for automatically determining parameter(s) of measurement(s) performed in first and second subsets of the ROIs during the metrology process with the measurement subsystem based on portions of the design for the specimen located in the first and second subsets of the ROIs, respectively. The parameter(s) of the measurement(s) performed in the first subset are determined separately and independently of the parameter(s) of the measurement(s) performed in the second subset.