Abstract: The present invention provides a federated large model adaptive learning system. Based on the combination of multiobjective optimization and incremental learning, multiple optimization indexes are constructed, and adaptive mini model incremental learning is designed. A gradient scaling method of mini models is proposed for data privacy protection under federated learning, to make full use of gradient information. A correlation between the generalization ability and sampling data is revealed to propose a generalization ability evaluation function. With respect to the real problems of performance degradation and fault faced by industrial equipment during operation, multiple optimization objectives are designed in combination with the generalization ability evaluation function, and the models are updated and repaired adaptively through multiobjective evolutionary learning, to improve the usability of large models in real industrial scenarios.

Abstract: A mechanism for generating one or more recommendations for using a ventilation system. A target subject profile is determined that characterizes a target subject and a ventilation system used for the target subject. Historic subject profiles that share a same etiology and ventilation characterization as the target subject profile are identified, where the identified subject profiles also share similar parameter information to the target subject profile. The treatment outcome consistency and/or number of identified historic subject profiles are used to produce the recommendation(s).

Abstract: Disclosed herein are methods and compositions for detecting differential expression of certain miRNAs in cancer cells or their surrounding normal tissues in the tumor microenvironment. The disclosure describes an automated, highly sensitive and specific method for detection of any cellular RNA molecule, including microRNA, messenger RNA and non-coding RNA. The technology includes probe design as well as probe use in an automated fashion for detection of RNA molecules in formalin-fixed paraffin-embedded tissue (FFPET) samples.

Abstract: Disclosed herein are methods and compositions for detecting differential expression of certain miRNAs in cancer cells or their surrounding normal tissues in the tumor microenvironment. The disclosure describes an automated, highly sensitive and specific method for detection of any cellular RNA molecule, including microRNA, messenger RNA and non-coding RNA. The technology includes probe design as well as probe use in an automated fashion for detection of RNA molecules in formalin-fixed paraffin-embedded tissue (FFPET) samples.

Abstract: A proximity detection method is described that utilizes enzymatic biotinylation to detect targets in a sample, particularly formalin fixed paraffin embedded samples using automated staining platforms. One disclosed embodiment comprises contacting the sample with a first conjugate comprising a biotin ligase and a first specific binding moiety that binds proximally to the first target; contacting the sample with a second conjugate comprising a biotin ligase substrate and a second specific binding moiety that binds proximally to the second target; subjecting the sample to conditions that allow biotinylation of the biotin ligase substrate by the biotin ligase when the first target and the second target have a proximal arrangement; and detecting biotinylation of the biotin ligase substrate. The conditions that allow biotinylation of the substrate include addition of biotin and ATP. The method also may comprise contacting the sample with a streptavidin-enzyme conjugate. Signal amplification also can be used.

Abstract: The present invention provides probes and probe systems for detection of nucleic acids, and in particular probes and probe systems comprising target nucleic acid probes which comprise a plurality of detection sequences and detection nucleic acid probes which hybridize to the detection sequences of the target nucleic acid probes and which further comprise a plurality of detectable moieties, such as haptens.

Abstract: Disclosed herein are methods and compositions for detecting differential expression of certain miRNAs in cancer cells or their surrounding normal tissues in the tumor microenvironment. The disclosure describes an automated, highly sensitive and specific method for detection of any cellular RNA molecule, including microRNA, messenger RNA and non-coding RNA. The technology includes probe design as well as probe use in an automated fashion for detection of RNA molecules in formalin-fixed paraffin-embedded tissue (FFPET) samples.

Abstract: A proximity detection method is described that utilizes enzymatic biotinylation to detect targets in a sample, particularly formalin fixed paraffin embedded samples using automated staining platforms. One disclosed embodiment comprises contacting the sample with a first conjugate comprising a biotin ligase and a first specific binding moiety that binds proximally to the first target; contacting the sample with a second conjugate comprising a biotin ligase substrate and a second specific binding moiety that binds proximally to the second target; subjecting the sample to conditions that allow biotinylation of the biotin ligase substrate by the biotin ligase when the first target and the second target have a proximal arrangement; and detecting biotinylation of the biotin ligase substrate. The conditions that allow biotinylation of the substrate include addition of biotin and ATP. The method also may comprise contacting the sample with a streptavidin-enzyme conjugate. Signal amplification also can be used.

Abstract: The present invention provides probes and probe systems for detection of nucleic acids, and in particular probes and probe systems comprising target nucleic acid probes which comprise a plurality of detection sequences and detection nucleic acid probes which hybridize to the detection sequences of the target nucleic acid probes and which further comprise a plurality of detectable moieties, such as haptens.