9 results about "Low activity" patented technology

Methods and apparatus for using exempt gamma photon sources to measure fluid properties are described herein. The gamma photon sources are used with detectors in an arrangement that provides a short photon path length between source and detector. Fluid measurement devices described herein have a fluid container defining an interior, an exempt gamma-ray source located outside the fluid container, and a gamma-ray detector located outside the fluid container, the exempt gamma photon source and the gamma-ray detector defining a photon path that traverses the interior of the fluid container along a non-diametric chord of the fluid container.

A method for monitoring a recumbent patient to obtain information on a body position of the patient comprises the steps of emitting electromagnetic waves by a sender (11) arranged in a distance from the patient, receiving electromagnetic waves reflected by the patient by a receiver (12, 13, 14) arranged in a distance from the patient, determining a movement activity level from an amplitude and / or phase of the received electromagnetic waves, classifying the activity level into at least one high activity level class and into at least one low activity level class and analyzing the amplitude and / or phase of the received electromagnetic waves relating to an activity level classified in the at least one low activity level class to obtain the information on the body position of the patient.

The present application relates to the technical field of microorganisms, in particular to a strain of Trichoderma reesei SDU1010, spore suspension and application, the Trichoderme reesei strain SDU1010 is preserved in the China General Microbiological Culture Collection Center on April 7, 2026, and the preservation number is CGMCC No. 3.29531.The Trichoderma reesei strain SDU1010 provided in the present application can effectively produce cellulase under acidic conditions with pH value of 2.5-5.5, effectively makes up the defect of low activity of key enzyme components under acidic conditions of existing strains, and improves the synergistic efficiency of cellulose degradation.

The hardware Trojan detection method and system based on low activity and low observation node joint analysis belong to the technical field of integrated circuit security, and solve the problem of how to improve the accuracy of identifying high-concealment hardware Trojan; the gate-level netlist is abstracted into a signal propagation directed graph, the nodes in the low activity candidate trigger node set are taken as the starting nodes, the nodes in the low observation candidate load node set are taken as the target nodes, the effective signal propagation path from the starting node to the target node is searched in the directed graph, and if the effective signal propagation path exists, it is determined as a high-risk hardware Trojan potential link; the application proposes a method for identifying high-concealment hardware Trojan potential signal link based on gate-level netlist static analysis, which does not depend on the golden reference model, and does not need to know the Trojan feature library, and is especially suitable for third-party IP core access security detection, backdoor review and logic credibility verification scenes.

The nucleic acid detection system provided in this application includes a Cas protein, a first RNA portion, and a second RNA portion. The first and second RNA portions can interact to form a functional crRNA in the presence of the target nucleic acid. This functional crRNA can form a complex with the Cas protein and activate the trans-cleavage activity of the Cas protein. This invention creatively separates the crRNA into independent first and second RNA portions, whose binding affinity to Cas12a is significantly weaker than that of the full-length crRNA, thereby reducing the cis and trans-cleavage activity of Cas12a. This low-activity state provides a sufficient time window for the nucleic acid amplification reaction, allowing the amplification products to accumulate. When the target amplification product accumulates to a sufficient concentration, it can induce the separated crRNA to assemble with Cas12a into an active complex, thereby activating trans-cleavage and achieving an intelligent response of amplification-driven cleavage. The entire process requires no physical isolation, chemical inhibition, or programmed temperature control, truly achieving closed-tube, unmanned detection.

For scheduling background processes in a data storage system, feature data is continually collected for activity-indicating performance features over regular multi-hour sample periods, and collected feature data is provided to a model-based workload analyzer having (i) a features input layer employing weighted feature learning to generate a stream of feature vectors and (ii) a variational autoencoder (VAE) operable in response to the stream of feature vectors to generate a latent-space representation of the collected feature data having a normalized distribution. The latent-space representation is compared against a normalized threshold to identify periods of low activity, and based on the comparing the background processes are initiated during the identified periods of low activity.

This invention discloses a method and system for controlling particle size distribution in cement grinding based on activity matching, belonging to the cement industry. The method includes: acquiring the actual particle size distribution of multiple material samples within different preset particle size ranges and the activity index at a preset reference age; classifying the material samples into high-activity, medium-activity, and low-activity materials based on the activity index at the preset reference age and establishing a mapping model between material activity and particle size range; according to the mapping model, separately grinding the high-activity, medium-activity, and low-activity materials to obtain each component material; obtaining an optimized mix proportion; monitoring the actual particle size distribution of the finished cement and calculating the activity matching degree using the optimized mix proportion and mapping model; determining whether the activity matching degree is greater than or equal to a preset threshold; if not, adjusting the optimized mix proportion or grinding parameters. This application avoids the waste of activity caused by excessively coarse particles in high-activity materials and also prevents energy waste caused by excessive grinding of low-activity materials.

The application provides a memory management method, device, equipment and storage medium. The memory management method comprises the following steps: in response to a memory management request for a target application program, determining the target application program corresponding to the memory management request and a to-be-processed memory page corresponding to the target application program; performing compression processing on the to-be-processed memory page to obtain a virtual compressed memory page corresponding to the target application program, and storing the virtual compressed memory in a virtual compressed memory module; determining target migration memory in the virtual compressed memory according to an application grouping identifier and / or an application activity parameter of the target application program; performing memory migration processing on the target migration memory, deleting the target migration memory in the virtual memory module, and obtaining a memory management result. The application program memory is adaptively managed by using the application activity degree and the grouping identifier when the memory is low, the application memory with low activity is completely released, and the memory utilization, the application retention rate and the starting speed are improved.