Abstract: A system and method for applying cybersecurity policies across multiple computing environments is presented.

Abstract: A system and method for detecting a permission escalation event in a computing environment is disclosed. The method includes: generating a cloned disk based on an original disk of a resource deployed in a computing environment; detecting an identifier of a first principal on the cloned disk; detecting a second principal in the computing environment, the first principal authorized to assume the first principal; storing a representation of the computing environment in a security database, including: a first principal node representing the first principal, and a second principal node representing the second principal, further associated with a permission; querying the representation to determine a permission of the first principal; determining that the second principal includes a permission which the first principal does not include based on a result of querying the representation; and generating a permission escalation event.

Abstract: The present invention relates to an RFID tagged and identified cookware in robotic or automated cooking system for identification of each one of the cooking vessels throughout the variety of stages of the cooking processes or meal preparation processes in automated or robotic cooking apparatus through an integrated RFID tag.

Abstract: In one embodiment, the present disclosure provides a combination of recombinant Ara h 1 and Ara h 2 variant polypeptides lacking at least one epitope recognized by anti-Ara h 1 antibodies and anti-Ara h 2 antibodies, respectively, thereby having reduced or abolished antibody binding to the peanut allergen. These peanut allergen variants may be used in methods of treating subjects allergic to peanuts and reducing the severity of their allergy.

Abstract: A system and method for inspecting managed workloads in a cloud computing environment for cybersecurity threats improves inspection of managed workload service repositories, by only inspecting bases of managed workload deployed in the cloud computing environment. The method includes discovering a managed workload deployed in a cloud computing environment; determining an identifier of the managed workload, wherein the identifier includes an indicator to a base repository in which a base is stored, and wherein the managed workload is currently deployed in the cloud computing environment, the base repository further storing a plurality of bases, wherein a portion of the plurality of bases do not correspond to a deployed workload; accessing the base repository to pull the base; and inspecting the base of the deployed managed workload for a cybersecurity threat.

Abstract: Bacteriophage compositions and therapeutic uses thereof. In particular, compositions of lytic bacteriophages that are capable of lysing Propionibacterium acnes (P. acnes) bacterial strains associated with acne and biofilms, thereby treating or preventing acne and biofilms.

Abstract: Embodiments relate to an implantable device for detecting leakage of matter from a mammalian lumen, the device comprising a mesh structure that is attachable to a lumen of a mammalian. The mesh structure comprises a material or a material composition that is electrically conductive and which is measurably responsive in terms of its electrical conductivity when being subjected to leakage of matter from the lumen.

Abstract: The present invention is an apparatus and a green and economical method for washing and sanitizing cookware including pots, pans and containers suitable for all types of cookware, wherein the washing and sanitization method is a two stage process involving utilization of cold water jet for washing of utensils and heating water for sanitization of the cookware without the use of detergents or chemicals.

Abstract: A new frying basket (FrB) is disclosed. The new FrB may comprise a basket and a cover. The basket is configured to obtain food-products and contains them along an air-frying process. The cover is configured to be associated with the basket for keeping the food-products in the basket and converting the FrB into a closed-FrB. Wherein the closed-FrB is configured to be used in an industrial-robotic-air-frying system (IRAFS) and wherein during the air-frying process the closed-FrB is revolved.

Abstract: The present disclosure describes automated generation of early warning predictive insights derived from contextual analysis of user activity data of a distributed software platform. Predictive insights are automatically generated from analysis of user activity through implementation of trained artificial intelligence (AI) modeling. User activity data is accessed pertaining to user interactions by a plurality of users on a software data platform. The trained AI modeling generates a plurality of mobility determinations that identify changes in patterns of user behavior over a current temporal filter associated with the user activity data. The plurality of mobility determinations is curated using business logic rules that evaluate a relevance of the mobility determinations. One or more predictive insights may be generated and presented via a graphical user interface notification.

Abstract: A new industrial-robotic-air-frying system (IRAFS) is disclosed. The new IRAFS may comprise a motion system, a dispenser that is configured to deliver one or more types of frozen products, and one or more air-frying Units (AFUs). Wherein the motion system is configured to take an empty frying-basket (FrB), to convey the empty FrB toward the dispenser for loading a certain amount of a certain frozen product into the FrB, and to convey the loaded FrB into an AFU from the one or more AFUs.

Abstract: A technique is disclosed for managing an industrial-robotic-air-frying system (IRAFS) by a controller. An example of such a controller can be associated with a non-transitory computer readable storage device. The storage device may store executable instructions that when executed cause a processor at a controller of the IRAFS to manage a process of air-frying frozen products. Products such as but not limited to frozen french-fries.

Abstract: The present invention relates to a method of cookware handling in varied environments including that in robotic systems, production lines, automated cooking and ingredient collection systems, washing and sanitizing manual or automated systems. The method involves use of electromagnetic force to generate friction that translate into gripping force for the cookware or likewise. The electromagnetic force may be generated by degaussing electromagnets.

Abstract: Monitoring a storage system for placing physical goods in an indoor environment using an aerial vehicle by receiving a command to check a status of the storage system, moving towards a storage system based on the command, capturing an image of the storage system using a sensor carried by the aerial device, analyzing the captured image to identify irregularities in a structure or position of the storage system, and reporting irregularities of the storage system to a third party.

Abstract: Disclosed are exemplary multi-chamber food package systems. A base enclosure defines a base chamber in fluid communication with a base mouth surrounded by a base peripheral lip. The lid enclosure has a lid inboard surface and lid periphery. An auxiliary enclosure defines an auxiliary chamber in fluid communication with an auxiliary mouth surrounded by an auxiliary peripheral lip. A base seal seals the base chamber from an ambient environment. An auxiliary seal seals the auxiliary chamber from the environment and base chamber. A first consumable substance is contained within the base chamber. A second consumable substance is contained within the auxiliary chamber. The base enclosure, base seal, and first consumable substance define a base subassembly. The auxiliary enclosure, auxiliary seal, and second consumable substance define an auxiliary subassembly. The auxiliary subassembly is releasably mounted to the lid inboard surface. The lid periphery is releasably secured to the base peripheral lip.

Abstract: A method may be used to predict a business' category by analyzing the business' vendors. A neural network architecture may be trained via supervised learning to predict categories for businesses based on listed vendors. The neural network may be used to classify uncategorized businesses within an accounting software database. A list of factors associated with a business' success may be generated by analyzing, aggregating and ranking factors determined to be relevant to a business based on its categorization. The factors associated with the business' success may be related to the products and/or services offered by the business and the format of which those products and/or services are offered by the business. The factors may also be related to the products and/or services purchased by the business from a vendor and the format of which those products and/or services are purchased from the vendor.

Abstract: A system and method for a multi-stage approach for creating topic models is presented. The method includes applying a first stage topic model to textual data, wherein the first stage topic model is trained to discover a first plurality of topics and distributions of words in each topic of the first plurality of topics from the textual data; generating at least one seeded word for a subset of topics of the first plurality of topics, wherein the at least one seeded word is determined based on a plurality of selection rules and the distributions of words in the subset of topics discovered in the first stage topic model; and creating a second stage topic model by feeding the generated at least one seeded word to direct identification of the subset of topics of the first plurality of topics.

Abstract: A method of dispensing medication from a plurality of medication containers, using a dispensing system for collecting a medication dosage from a medication container including: receiving a medication selection; selecting a medication container, from the plurality of medication containers, based on the medication selection; matching a collection protocol to be applied to the medication container including one or more parameter for control of the dispensing system; and dispensing the medication selection from the medication container according to the collection protocol.

Abstract: There is provided a method for training a ground truth generator machine learning model, comprising: creating a ground truth multi-record training dataset wherein a record comprises: a first image of a sample of tissue of a subject depicting a first group of biological objects, a second image of the sample depicting a second group of biological objects presenting at least one biomarker, and ground truth labels indicating a respective biological object category of a plurality of biological object categories for biological object members of the first group and the second group; and training the ground truth generator machine learning model on the ground truth multi-record training dataset for automatically generating ground truth labels selected from the plurality of biological object categories for biological objects depicted in an input set of images of a first type corresponding to the first image and a second type corresponding to the second image.