Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.

Abstract: The corrosion-preventing additive for reinforced concrete is a concrete additive for preventing corrosion of steel rebars in steel-reinforced concrete. The corrosion-preventing additive is a solution with an organic solvent, the solute being either gallic acid (3,4,5-trihydroxybenzoic acid), at least one ester of gallic acid, or combinations thereof. The weight-to-volume concentration of the solute to the organic solvent may be between 1% and 10% w/v. Reinforced concrete may be made using the corrosion-preventing additive by mixing the corrosion-preventing additive with a conventional concrete mixture (i.e., a mixture of an aggregate, water, and cement), with at least one steel rebar being embedded in the mixture, similar to conventional steel rebar reinforced concrete. The concentration of the corrosion-preventing additive with respect to the cement of the mixture may be between 0.0125 wt % and 1.0 wt %.

Abstract: There is disclosed in one example a computer apparatus, including: a hardware platform including a central processor unit (CPU) and a memory; and instructions encoded within the memory to instruct the CPU to: enumerate a plurality of running processes, and associate resource demands with the running processes; predict a resource starvation condition for at least one process; rank the plurality of running processes according to a dynamic ranking algorithm, wherein the ranking algorithm includes user engagement as an input for ranking a process; and according to the ranking and a safeguard algorithm, deallocate resources from a process ranked lower than the at least one process and assign the deallocated resources to the at least one process to mitigate the predicted resource starvation condition.

Abstract: A sulfur storage tank includes a bottom plate, an outer wall, and a cleanout door. The outer wall surrounds and is coupled to the bottom plate. The cleanout door is installed on the outer wall. The cleanout door includes an edge and a drain nozzle. The edge abuts the bottom plate. The drain nozzle is installed on the cleanout door. The drain nozzle defines a centerline offset from the edge. The drain nozzle is configured to gravity drain fluid from the sulfur storage tank.

Abstract: An air intake for an aircraft propulsion system includes an air inlet duct, a core flow duct, a bypass flow duct, a splitter, and a flow control device. The air inlet duct includes an intake inlet and a gas path floor. The core flow duct includes a core flow outlet. The bypass flow duct includes a bypass flow outlet. The bypass flow duct includes the gas path floor. The splitter separates the core flow duct and the bypass flow duct. The flow control device is disposed on a portion of the gas path floor. The flow control device is configured to be selectively positioned to control an air flow path for air flowing through the air inlet duct, the core flow duct, and the bypass flow duct.

Abstract: Clock generation circuit generating multiple divided signals satisfying respective desired offsets. A phase locked loop (PLL) is used to generate a PLL output having a frequency which is a desired multiple of that of a reference clock. The circuit divides the PLL output by a corresponding divisor to generate a corresponding divided signal, wherein each divided signal is offset from a common reference by at least an associated desired time offset. The common reference is timed with respect to the reference clock when the reference clock is available and with respect to a time reference signal otherwise. This arrangement is extended to use the internal time reference signal even for the cases where the reference clock is present by blocking the reference clock while the output systems across PLLs are aligned using the internal time reference signal to ensure desired offsets across different PLLs with a small uncertainty.

Abstract: An example method comprises determining, by an edge services controller, based on a respective predicted resource utilization value for each of a plurality of servers, a corresponding server weight for each of the plurality of servers; the plurality of servers comprising respective network interface cards (NICs), wherein each NIC of the plurality of NICs comprises an embedded switch and a processing unit coupled to the embedded switch; determining, by the edge services controller, based on a respective predicted resource utilization value for each of a plurality of services, a corresponding application weight for each of the plurality of services; and scheduling, by the edge services controller, based on the respective server weight for a server of the plurality of servers and the respective application weight for the service, a service of the plurality of services on the server.

Abstract: A product management computer system that can include one or more processors, and a computer-readable medium comprising instructions stored therein, which when executed by the processors, can cause the processors to: receive data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated; process the received data through a machine-learning-produced algorithm and generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transform the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and output data representing

Abstract: A control plane signaling method for reducing energy consumption of O-RAN radio units used in O-RAN CUS and including an O-DU controlling an O-RU via control-plane messaging where a sleep period is extended using a 16-bit binary number that is formed by two reserved octets in Section Type 0, or via an inactivity timer is used to trigger transitions between different sleep states and active states, or via and a bitmap is formed by a reserved octet in Section Type 0 and is used to signal the O-RU to directly transition to different sleep modes.

Abstract: A data processing apparatus is provided. Decode circuitry decodes a stream of instructions including a store instruction and a load instruction. Prediction circuitry predicts that the load instruction loads data from memory that is stored to the memory by the store instruction and the prediction is based on a hash of a program counter value of the store instruction.

Abstract: There is provided a system for tracking events associated with a treatment by personalised medicine, the system comprising a plurality of nodes hosting a blockchain. The plurality of nodes include a plurality of sequence manager nodes, each associated with a respective sequence manager contract on the blockchain, and a hub node associated with a hub contract on the blockchain. A first sequence manager contract of the sequence manager contracts is arranged to receive first event data indicating a first event associated with the treatment, and store the first event data on the blockchain in association with a first event sequence. The hub contract is arranged to store an association between the first event sequence and one or more further event sequences associated with the treatment, on the blockchain.

Abstract: An apparatus is provided for controlling the operating mode of control circuitry, such that the control circuitry may change between two operating modes. In an allocation mode, data that is loaded in response to an instruction is allocated into storage circuitry from an intermediate buffer, and the data is read from the storage circuitry. In a non-allocation mode, the data is not allocated to the storage circuitry, and is read directly from intermediate buffer. The control of the operating mode may be performed by mode control circuitry, and the mode may be changed in dependence on the type of instruction that calls the data, and whether the data may be used again in the near future, or whether it is expected to be used only once.

Abstract: A computer method for identifying product in a distributor's inventory system that fulfills a product request made via a natural language query. the natural language query is received as a product request including multiple words in sequential order. The words are vectorized into word-vectors that are concatenated and used to generate a query embedding. The query embedding is processed utilizing a trained product category classifier that predicts which product category the requested product belongs. Forward and backward sequence vectors are generated from the sequentially ordered words of the query that are concatenated and processed using a trained model specific to the predicted product category. The sequence vectors represent positional relationships between the words of the natural language query. Thereafter, the system identifies product attribute(s) embodied in the natural language query that each correspond to a predetermined key-characteristic of the category.

Abstract: Described herein are systems, methods, and articles of manufacture for high back-scattering waveguides (e.g., optical fibers) and sensors employing high back-scattering optical fibers. Briefly described, one embodiment comprises a high back-scattering fiber, or enhanced scattering fiber or “ESF,” that features resistance specifications that remain intact over lengths of fiber in excess of 1 m, or preferably >100 m, or preferably >1 km, wherein the reflectivity of the ESFs may be precisely tuned within a range from ?100 dB/mm to ?70 dB/mm, and wherein the enhanced scattering may be spatially continuous or, alternatively, may be at discrete locations spaced apart by 100 microns to >10 m.

Abstract: An apparatus comprises a processing device configured to analyze software code of a software product to identify application programming interfaces (APIs) of software libraries used in the software code of the software product, and to determine whether any of the identified APIs used in the software code of the software product correspond to any APIs of the software libraries having reported vulnerabilities. The processing device is also configured, responsive to determining that at least one of the identified APIs used in the software code of the software product correspond to at least one of the APIs having reported vulnerabilities, to identify impacted software classes of the software product. The processing device is further configured to automate upgrade of the software libraries used in the software code of the software product based on the identified impacted software classes.

Abstract: A computer implemented method for identifying substitute products for a target product via a distributor's product management computer system, the method includes: receiving, at a distributor's product management computer system, data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated therewith; processing the received data through a machine-learning-produced algorithm and thereby generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transforming the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm;

Abstract: A product management computer system that can include one or more processors, and a computer-readable medium comprising instructions stored therein, which when executed by the processors, can cause the processors to: receive data representing a target product of interest to a user of the system, wherein the target product is described by a plurality of variable-value attributes associated; process the received data through a machine-learning-produced algorithm and generating data representing a first set of substitute product candidates for the target product and wherein each substitute product candidate has a corresponding match-score that represents a degree of determined similarity between that substitute product candidate and the target product; transform the generated data that represents the first set of substitute product candidates into data representing a refined set of substitute product candidates by processing the generated data utilizing a constraint-based algorithm; and output data representing

Abstract: A three-dimensional (3D) printer includes a nozzle and a camera configured to capture a real image or a real video of a liquid metal while the liquid metal is positioned at least partially within the nozzle. The 3D printer also includes a computing system configured to perform operations. The operations include generating a model of the liquid metal positioned at least partially within the nozzle. The operations also include generating a simulated image or a simulated video of the liquid metal positioned at least partially within the nozzle based at least partially upon the model. The operations also include generating a labeled dataset that comprises the simulated image or the simulated video and a first set of parameters. The operations also include reconstructing the liquid metal in the real image or the real video based at least partially upon the labeled dataset.

Abstract: An underwater device has a hyperspectral camera for capturing images of a seabed, a first housing part, a second housing part releasably connected to the first housing part in a watertight manner and enclosing with the first housing part a cavity in which the hyperspectral camera is arranged, and an electrical energy storage device for supplying electrical energy to the hyperspectral camera arranged in another cavity, wherein the other cavity is separated from the cavity by a wall section of the first and/or second housing part.