Abstract: A system and method of automatically detecting electrical discharges in a gas insulated switchgear equipment and locating the electrical discharges in real-time is disclosed. The method includes sensing an ultra high frequency (UHF) signal generated from the electrical discharges at multiple channels simultaneously. The UHF signal sensed at multiple channels are reviewed simultaneously to determine whether they are of the same electrical discharge or not. The method also provides the sensed UHF signal at multiple channels to an artificial intelligence training model trained to determine the type of electrical discharge such as a partial discharge or an arc. The method provides a location of the electrical discharge based on an attenuation profile associated with the multiple channels and other information including amplitude information and distance information between adjacent channels.

Abstract: Embodiments of the present disclosure relate to six-nucleobase libraries having a third Watson-Crick base pair. Also provided herein are methods to prepare such six-nucleobase libraries, and their use for sequencing and modified nucleobase detection applications.

Abstract: Systems and methods are provided for estimating the 3D joint location of skeleton joints from an image segment of an object and a 2D joint heatmaps comprising 2D locations of skeleton joints on the image segment. This includes applying the image segment and 2D joint heatmaps to a convolutional neural network containing at least one 3D convolutional layer block, wherein the 2D resolution is reduced at each 3D convolutional layer and the depth resolution is expanded to produce an estimated depth for each joint. Combining the 2D location of each kind of joint with the estimated depth of the kind of joint generates an estimated 3D joint position of the skeleton joint.

Abstract: Examples provided herein are related to detecting methylcytosine using a modified base opposite to the methylcytosine. A methylcytosine in a first polynucleotide including a plurality of cytosines may be detected, using a method that includes hybridizing the first polynucleotide to a second polynucleotide. The second polynucleotide may include a modified base opposite to the methylcytosine. The methylcytosine may be detected using the modified base. For example, the modified base may include a fluorophore. The methylcytosine may be detected using fluorescence from the fluorophore responsive to excitation light.

Abstract: This disclosure describes an activity recognition system for asymmetric (e.g., left- and right-handed) activities that leverages the symmetry intrinsic to most human and animal bodies. Specifically, described is 1) a human activity recognition system that only recognizes handed activities but is inferenced twice, once with input flipped, to identify both left- and right-handed activities and 2) a training method for learning-based implementations of the aforementioned system that flips all training instances (and associated labels) to appear left-handed and in doing so, balances the training dataset between left- and right-handed activities.

Abstract: This disclosure describes an activity recognition system for asymmetric (e.g., left- and right-handed) activities that leverages the symmetry intrinsic to most human and animal bodies. Specifically, described is 1) a human activity recognition system that only recognizes handed activities but is inferenced twice, once with input flipped, to identify both left- and right-handed activities and 2) a training method for learning-based implementations of the aforementioned system that flips all training instances (and associated labels) to appear left-handed and in doing so, balances the training dataset between left- and right-handed activities.

Abstract: Systems and methods are provided for estimating the 3D joint location of skeleton joints from an image segment of an object and a 2D joint heatmaps comprising 2D locations of skeleton joints on the image segment. This includes applying the image segment and 2D joint heatmaps to a convolutional neural network containing at least one 3D convolutional layer block, wherein the 2D resolution is reduced at each 3D convolutional layer and the depth resolution is expanded to produce an estimated depth for each joint. Combining the 2D location of each kind of joint with the estimated depth of the kind of joint generates an estimated 3D joint position of the skeleton joint.

Abstract: This disclosure describes an activity recognition system for asymmetric (e.g., left- and right-handed) activities that leverages the symmetry intrinsic to most human and animal bodies. Specifically, described is 1) a human activity recognition system that only recognizes handed activities but is inferenced twice, once with input flipped, to identify both left- and right-handed activities and 2) a training method for learning-based implementations of the aforementioned system that flips all training instances (and associated labels) to appear left-handed and in doing so, balances the training dataset between left- and right-handed activities.

Abstract: This disclosure describes an activity recognition system for asymmetric (e.g., left- and right-handed) activities that leverages the symmetry intrinsic to most human and animal bodies. Specifically, described is 1) a human activity recognition system that only recognizes handed activities but is inferenced twice, once with input flipped, to identify both left- and right-handed activities and 2) a training method for learning-based implementations of the aforementioned system that flips all training instances (and associated labels) to appear left-handed and in doing so, balances the training dataset between left- and right-handed activities.

Abstract: Some embodiments relate to methods and compositions for preparing combinatorially indexed beads. Some embodiments include sequential addition of different indexes to polynucleotides attached to beads. In some embodiments, indexes are added by chemical ligation, polymerase extension, ligation of partially double-stranded adaptors, or short splint ligation.

Abstract: Disclosed herein include methods, compositions, reaction mixtures, kits and systems for identification of methylated cytosines in nucleic acids using a bisulfite-free, one-step chemoenzymatic modification of methylated cytosines.

Abstract: The disclosure relates to methods, compositions, and kits for the selective depletion of non-desirable fragments from amplified libraries using blocking oligonucleotides.

Abstract: The present disclosure is concerned with proteins, methods, compositions, and kits for mapping of methylation status of nucleic acids, including 5-methylcytosine and 5-hydroxymethyl cytosine (5 hmC). In one embodiment, proteins are provided that selectively act on certain modified cytosines of target nucleic acids and converts them to thymidine or modified thymidine analogues. In another embodiment, proteins are provided that selectively act on certain modified cytosines of target nucleic acids and converts them to uracil or thymidine and selectively do not act on other certain modified cytosines of target nucleic acids. Also provided are compositions and kits that include one or more of the proteins and methods for using one or more of the proteins.

Abstract: A system and method of automatically detecting electrical discharges in a gas insulated switchgear equipment and locating the electrical discharges in real-time is disclosed. The method includes sensing an ultra high frequency (UHF) signal generated from the electrical discharges at multiple channels simultaneously. The UHF signal sensed at multiple channels are reviewed simultaneously to determine whether they are of the same electrical discharge or not. The method also provides the sensed UHF signal at multiple channels to an artificial intelligence training model trained to determine the type of electrical discharge such as a partial discharge or an arc. The method provides a location of the electrical discharge based on an attenuation profile associated with the multiple channels and other information including amplitude information and distance information between adjacent channels.

Abstract: Detecting analytes using proximity-induced tagmentation, strand invasion, restriction, or ligation is provided herein. In some examples, detecting an analyte includes coupling a donor recognition probe to a first portion of the analyte. The donor recognition probe includes a first recognition element specific to the first portion of the analyte, a first oligonucleotide corresponding to the first portion, and a transposase coupled to the first recognition element and the first oligonucleotide. An acceptor recognition probe is coupled to a second portion of the analyte. The acceptor recognition probe includes a second recognition element specific to the second portion of the analyte and a second oligonucleotide coupled to the second recognition element and corresponding to the second portion. The transposase is used to generate a reporter polynucleotide including the first and second oligonucleotides. The analyte is detected based on the reporter including comprising the first and second oligonucleotides.

Abstract: This disclosure describes methods, non-transitory computer readable media, and systems that can use a computationally efficient model to determine a corrected methylation-level value for a specific sample nucleotide sequence. For instance, the disclosed systems determine a false positive rate and a false negative rate at which a given methylation sequencing assay converts cytosine bases. Based on the determined false positive rate and false negative rate, the disclosed systems determine a corrected methylation-level value that corrects for a bias of the given methylation sequencing assay.

Abstract: Systems and methods are provided for estimating the 3D joint location of skeleton joints from an image segment of an object and a 2D joint heatmaps comprising 2D locations of skeleton joints on the image segment. This includes applying the image segment and 2D joint heatmaps to a convolutional neural network containing at least one 3D convolutional layer block, wherein the 2D resolution is reduced at each 3D convolutional layer and the depth resolution is expanded to produce an estimated depth for each joint. Combining the 2D location of each kind of joint with the estimated depth of the kind of joint generates an estimated 3D joint position of the skeleton joint.

Abstract: Systems and methods are provided for estimating the 3D joint location of skeleton joints from an image segment of an object and a 2D joint heatmaps comprising 2D locations of skeleton joints on the image segment. This includes applying the image segment and 2D joint heatmaps to a convolutional neural network containing at least one 3D convolutional layer block, wherein the 2D resolution is reduced at each 3D convolutional layer and the depth resolution is expanded to produce an estimated depth for each joint. Combining the 2D location of each kind of joint with the estimated depth of the kind of joint generates an estimated 3D joint position of the skeleton joint.

Abstract: This disclosure describes methods, non-transitory computer readable media, and systems that can use a machine-learning to determine factors or scores indicating an error level with which a given methylation assay detects methylation of cytosine bases. For instance, the disclosed systems use a machine-learning model to generate a bias score indicating a degree to which a given methylation assay errs in detecting cytosine methylation when specific sequence contexts surround such cytosines compared to other sequence contexts. The machine-learning model may take various forms of models, including a decision-tree model, a neural network, or a combination of a decision-tree model and a neural network. In some cases, the disclosed system combines or uses bias scores from multiple machine-learning models to generate a consensus bias score.

Abstract: This disclosure describes an activity recognition system for asymmetric (e.g., left- and right- handed) activities that leverages the symmetry intrinsic to most human and animal bodies. Specifically, described is 1) a human activity recognition system that only recognizes handed activities but is inferenced twice, once with input flipped, to identify both left- and right- handed activities and 2) a training method for learning-based implementations of the aforementioned system that flips all training instances (and associated labels) to appear left-handed and in doing so, balances the training dataset between left- and right-handed activities.