Abstract: A turbine engine for an aircraft. The turbine engine includes a combustor and a steam system. Fuel and steam are injected into the combustor to mix with compressed air to generate a fuel and air mixture. The fuel and air mixture is combusted in the combustor to generate combustion gases. The steam system is fluidly coupled to the combustor as the steam source to provide steam to the combustor. The steam system includes a hot gas path and a steam hot gas path component. The hot gas path is fluidly coupled to the combustor to receive the combustion gases and to route the combustion gases through the steam system. The steam hot gas path component includes a wall having a combustion-gas-facing surface facing the hot gas path and a hydrophobic coating formed on the combustion-gas-facing surface.

Abstract: A turbine engine for an aircraft. The turbine engine includes a combustor and a steam system. Fuel and steam are injected into the combustor to mix with compressed air to generate a fuel and air mixture. The fuel and air mixture is combusted in the combustor to generate combustion gases. The steam system is fluidly coupled to the combustor as the steam source to provide steam to the combustor. The steam system includes a hot gas path and a steam hot gas path component. The hot gas path is fluidly coupled to the combustor to receive the combustion gases and to route the combustion gases through the steam system. The steam hot gas path component includes a wall having a combustion-gas-facing surface facing the hot gas path and a hydrophobic coating formed on the combustion-gas-facing surface.

Abstract: A system and method for hydraulic fracturing a subterranean formation with fracturing fluid to generate fractures, and intermittently adjusting a characteristic of the fracturing fluid conveying proppant to form pillars of proppant in the fractures.

Abstract: The present invention relates to stable and low viscosity liquid pharmaceutical compositions comprising antibodies binding to human alpha synuclein and to methods for use of antibodies binding to human alpha synuclein for treating synucleinopathies or prodromal synucleinopathy, incl. suitable doses and/or dosing regimens. These antibodies for use in treatment of synucleinopathies or prodromal synucleinopathy may be formulated in the stable and low viscosity liquid pharmaceutical compositions of the invention.

Abstract: Identifying an indistinct entity within an image can include generating by an image filter multiple gradients, each of which corresponds to one of a plurality of pixels of an image captured by an imager. The image can be searched for a likely repeating pattern. Responsive to detecting, based on the multiple gradients, a likely repeating pattern within the image, data structures can be generated, the data structures comprising a set of probabilistically weighted feature vectors corresponding to the likely repeating pattern. A machine learning model can classify each of the set of probabilistically weighted feature vectors. An identity of the likely repeating pattern can be output, the identity based on the machine learning model classifications of the probabilistically weighted feature vectors.

Abstract: Embodiments are directed to a method for predicting a location of user equipment (UE) (500) in a wireless communication network. The method includes receiving, by a Near-Real time RAN Intelligent Controller (Near RT RIC) (100), collated UE measurements associated with the UE (500), from an access node (1000) over an E2 interface. The collated UE measurements is determined based on a plurality of UE measurements associated with the UE (500) sent by at least three transmission receipt points (TRPs) (600a-c) to the access node (1000). The method also includes inputting, by the Near RT RIC (100), the collated UE measurements to a location prediction model (184) located at the Near RT RIC (100); and predicting, by the Near RT RIC (100), a location of the UE (500) by the location prediction model (184) based on the collated UE measurements.

Abstract: The present invention relates generally to medical compositions, methods and devices/systems for treating vascular diseases. More particularly, the invention relates to medical methods, devices and kits for distributing drug to surrounding vascular tissue to treat neointimal growth. More specifically, the described invention is intended to overcome shortcomings of existing treatments for peripheral artery disease (PAD). Devices and methods of the present invention are specifically intended to treat patients with PAD involving the infrapopliteal (tibial) arteries, e.g., patients having a clinical indication for treatment below the knees (e.g., claudication and/or critical limb ischemia (CLI), and patients with complex disease states, for reducing one or more of morbidity; treatment complications in treated patient populations, a reduction in target lesion revascularization (TLR) rates; and a reduction in patients populations requiring any type of leg amputation.

Abstract: Optimal pod management is provided. A pod-warm component located on a host node is directed to trigger generation of a pod snapshot image of a pod in an optimal state running on the host node in response to determining that the pod has attained the optimal state. An input is received to instantiate a second instance of the pod on the host node in response to detecting that one or more of a plurality of pod performance metrics have exceeded a corresponding maximum pod performance metric threshold level. The pod-warm component located on the host node is directed to instantiate the second instance of the pod fully warm in the optimal state on the host node using the pod snapshot image of the pod to decrease startup time of the pod and increase performance of the host node.

Abstract: The invention comprises a meal manager system/apparatus using an artificial intelligence system trained to create a USDA compliant school breakfast/lunch menu. Optionally, the meal manager separately and/or additionally assesses actual nutrient delivered to the students by assessing, with an intelligent system, waste left on a student tray at time of disposal.

Abstract: The present disclosure relates generally to methods of preparing glycoconjugates containing a saccharide conjugated to a carrier protein by use of stable nitroxyl radical related agent/oxidant as an oxidizing agent, to immunogenic compositions comprising such glycoconjugates, and to methods for the use of such glycoconjugates and immunogenic compositions.

Abstract: A method, computer program product, and computer system for upgrading, by a computing device, a plurality of storage appliances in a cluster, wherein the storage appliance cluster may include at least a primary storage appliance and a secondary storage appliance. It may be determined that an upgrade to a plurality of storage appliances in a cluster has completed. Distributed data may be queried for each storage appliance in the cluster based upon, at least in part, determining that the upgrade to the plurality of storage appliances in the cluster has completed. Data stored in a management database in the primary storage appliance and data stored locally in the secondary storage appliance may be combined based upon, at least in part, querying the distributed data for each storage appliance in the cluster.

Abstract: Methods for processing a hydrocarbon feedstock may include cracking at least a portion of the hydrocarbon feedstock by contacting the hydrocarbon feedstock with a modified zeolite in the presence of hydrogen to form an intermediate cracked product and steam cracking at least a portion of the intermediate cracked product to form a steam cracked product. The intermediate cracked product may include at least 30 wt. % of one or more linear alkanes. The modified zeolite may include a microporous framework. The microporous framework may include at least silicon atoms and oxygen atoms. The modified zeolite also includes a plurality of Group 4-6 metal atoms each bonded to four bridging oxygen atoms, wherein each of the bridging oxygen atoms bonded to the Group 4-6 metal atoms bridges one of the plurality of the Group 4-6 metal atoms and a silicon atom of the microporous framework.

Abstract: In various examples, systems and methods are disclosed relating to using machine learning models to generate small molecules with desired structural or physicochemical properties with high sampling efficiency. In some implementations, one or more processors receive a data structure representing a first small molecule and encode the data structure into a latent distribution of a fixed size using a machine learning model, thereby determining an encoded representation of the data structure. To generate new molecules with similar properties to the first small molecule, the processors apply noise to the encoded representation to determine a modified encoded representation. The modified encoded representation is decoded to determine a modified data structure representing a second small molecule different from the first small molecule.

Abstract: One embodiment of the invention provides a method for reverse proxy inspection (RPI) of encrypted traffic in an edge-based network. The method comprises sharing a first certificate from an RPI instance to an edge-based network gateway. The first certificate is issued to the RPI instance. The method further comprises receiving, at the RPI instance, an encrypted message with an initial layer of encryption and a subsequent layer of encryption. The initial layer is encrypted using a second certificate issued to an edge-based network device. The subsequent layer is encrypted using the first certificate. The method further comprises, at the RPI instance, authenticating the first certificate, and decrypting the subsequent layer using the first certificate, resulting in the encrypted message with the initial layer intact. The method further comprises, at the RPI instance, inspecting the encrypted message, and forwarding the encrypted message to a centralized hub.

Abstract: Modified zeolites may include a microporous framework including a plurality of micropores having diameters of less than or equal to 2 nm. The microporous framework may include at least silicon atoms and oxygen atoms. The modified zeolite may include a plurality of mesopores having diameters of greater than 2 nm and less than or equal to 50 nm, wherein the plurality of mesopores are ordered with cubic symmetry. The modified zeolite may include a plurality of titanium atoms each bonded to four bridging oxygen atoms, wherein each of the bridging oxygen atoms bonded to the titanium atoms bridges one of the plurality of the titanium atoms and a silicon atom of the microporous framework.

Abstract: A computer-implemented method, according to one embodiment, includes analyzing a deployment plan for an instance of Infrastructure as Code (IaC) code to identify a plurality of milestones of the deployment plan, and creating access policies for the identified milestones. The method further includes monitoring milestone state logs during an execution of the instance of IaC code for occurrence of predetermined milestone events. In response to a determination that a first of the predetermined milestone events has occurred, first user device access permissions are adjusted based on the created access policies. A computer program product, according to one embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a processing circuit to cause the processing circuit to perform the foregoing method.

Abstract: A gas turbine engine includes a fan section having a plurality of fan blades, the fan section configured to generate an airflow through the gas turbine engine, an airflow passage having a core passage and a bypass passage separate from the core passage, a low-speed shaft coupled to and configured to rotate the plurality of fan blades, and a sensor assembly coupled to the gas turbine engine and configured to detect torsional vibration in the low-speed shaft. The sensor assembly includes a plurality of dynamic pressure sensors in the airflow passage. The plurality of dynamic pressure sensors detect a dynamic pressure of the airflow passage that is indicative of the torsional vibration in the low-speed shaft. A damping system is configured to dampen the torsional vibration in the low-speed shaft based on a correlation of a measured torsional vibration and an experimental torsional vibration.

Abstract: Systems, methods and computer software are disclosed for providing a 5G native architecture. In one embodiment a method includes providing an all G software platform, including a core virtualization stack capable of communication with all hauls, and a radio virtualization stack capable of communication with all cores; and wherein the core virtualization stack communicates with an analytics layer, the analytics layer communicates with an orchestration layer, the orchestration layer communicates with a consolidation layer, and the consolidation layer communicates with the radio virtualization stack such that any G core is able to communicate with any G radio access network.

Abstract: A turbine engine includes a rotor, a stator, and a seal assembly disposed between the rotor and the stator. The seal assembly includes seal segment. The seal segment includes a seal face that is configured to form a fluid bearing with the rotor. A lift channel extends within the seal segment from an opening on the seal face. The turbine engine further includes a spring assembly disposed within the lift channel. The spring assembly including a biasing element and a piston element coupled to the biasing element. The lift channel includes a lift volume portion extending is between the opening and the piston element. The piston element is movable within the lift channel based on a pressure within the fluid bearing to adjust a size of the lift volume portion.

Abstract: Embodiments provide artificial intelligence-based methods and systems for predicting account-level risk scores associated with cardholders. Method performed by server system includes accessing payment transaction data and cardholder risk data associated with cardholder. The payment transaction data includes transaction variables associated with past payment transactions performed at Point of Interaction (POI) terminals within a particular time window. Method includes generating cardholder profile data based on the transaction variables and the cardholder risk data. Method includes determining account-level risk scores associated with the cardholder based on cardholder profile data. Each account-level risk score of account-level risk scores is determined by a trained machine learning model. The account-level risk scores include a wallet reload risk score, an account reissuance risk score, and a transaction channel risk score.