Abstract: A method of forming a semiconductor device comprising forming a patterned resist over a stack comprising at least one material and removing a portion of the stack exposed through the patterned resist to form a stack opening. A portion of the patterned resist is laterally removed to form a trimmed resist and an additional portion of the stack exposed through the trimmed resist is removed to form steps in sidewalls of the stack. A dielectric material is formed between the sidewalls of the stack to substantially completely fill the stack opening, and the dielectric material is planarized. Additional methods are disclosed, as well as semiconductor devices.

Abstract: Computationally-efficient techniques facilitate secure crowdsourcing of genomic and phenotypic data, e.g., for large-scale association studies. In one embodiment, a method begins by receiving, via a secret sharing protocol, genomic and phenotypic data of individual study participants. Another data set, comprising results of pre-computation over random number data, e.g., mutually independent and uniformly-distributed random numbers and results of calculations over those random numbers, is also received via secret sharing. A secure computation then is executed against the secretly-shared genomic and phenotypic data, using the secretly-shared results of the pre-computation over random number data, to generate a set of genome-wide association study (GWAS) statistics. For increased computational efficiency, at least a part of the computation is executed over dimensionality-reduced genomic data.

Abstract: Some embodiments include an integrated assembly having a vertical stack of alternating insulative levels and conductive levels. The insulative levels have a same primary composition as one another. At least one of the insulative levels is compositionally different relative to others of the insulative levels due to said at least one of the insulative levels including dopant dispersed within the primary composition. An opening extends vertically through the stack. Some embodiments include methods of forming integrated assemblies.

Abstract: Adaptive immune responses rely on the ability of cytotoxic T cells to identify and eliminate cells displaying disease-specific antigens on human leukocyte antigen (HLA) class I molecules. Investigations into antigen processing and display have immense implications in human health, disease and therapy. To extend understanding of the rules governing antigen processing and presentation, immunopurified peptides from B cells, each expressing a single HLA class I allele, were profiled. A resource dataset containing thousands of peptides bound to distinct class I HLA-A, -B, and -C alleles was generated by implementing a novel allele-specific database search strategy. Applicants discovered new binding motifs, established the role of gene expression in peptide presentation and improved prediction of HLA-peptide binding by using these data to train machine-learning models. These streamlined experimental and analytic workflows enable direct identification and analysis of endogenously processed and presented antigens.

Abstract: A circuit arrangement includes a memory circuit, data upload circuitry, data formatting circuitry, and a systolic array (SA). The data upload circuitry inputs a multi-dimensional data set and stores the multi-dimensional data set in the memory circuit. The data formatting circuitry reads subsets of the multi-dimensional data set from the memory circuit. The data formatting circuitry arranges data elements of the subsets into data streams, and outputs data elements in the data streams in parallel. The SA includes rows and columns of multiply-and-accumulate (MAC) circuits. The SA inputs data elements of the data streams to columns of MAC circuits in parallel, inputs filter values to rows of MAC circuits in parallel, and computes an output feature map from the data streams and the filter values.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: A method of forming a semiconductor device comprising forming a patterned resist over a stack comprising at least one material and removing a portion of the stack exposed through the patterned resist to form a stack opening. A portion of the patterned resist is laterally removed to form a trimmed resist and an additional portion of the stack exposed through the trimmed resist is removed to form steps in sidewalls of the stack. A dielectric material is formed between the sidewalls of the stack to substantially completely fill the stack opening, and the dielectric material is planarized. Additional methods are disclosed, as well as semiconductor devices.

Abstract: Systems and methods for spatial analysis of analytes include placing a sample on a substrate having fiducial markers and capture spots. Then, an image of the sample is acquired and sequence reads are obtained from the capture spots. Each capture probe plurality in a set of capture probe pluralities is (i) at a different capture spot, (ii) directly or indirectly associates with analytes from the sample and (iii) has a unique spatial barcode. The sequencing reads serve to detect the analytes. Sequencing reads include a spatial barcode of the corresponding capture probe plurality. Spatial barcodes localize reads to corresponding capture spots, thereby dividing them into subsets, each subset for a respective capture spot. Fiducial markers facilitate a composite representation comprising (i) the image aligned to the capture spots and (ii) a representation of each subset of sequence reads at respective positions within the image mapping to the corresponding capture spots.

Abstract: The present invention discloses a method for predicting peptides that are capable of binding to HLA molecules that incorporate the crystal structure of HLA molecules. An improved HLA-specific peptide docking workflow is used to simulate the occupancy of a peptide on the binding pocket of an HLA molecule, and three models are trained to predict the binding of the peptide to HLA molecules. The results show that these models predict HLA-allele specific binding peptides with extremely high accuracy.

Abstract: A discrete attribute value dataset is obtained that is associated with a plurality of probe spots each assigned a different probe spot barcode. The dataset comprises spatial projections, each comprising images of a biological sample. Each image includes a corresponding plurality of discrete attribute values for the probe spots. Each such value is associated with a probe spot in the plurality of probes spots based on the probe spot barcodes. The dataset is clustered using the discrete attribute values, or dimension reduction components thereof, for a plurality of loci at each respective probe spot across the images of the projections thereby assigning each probe spot to a cluster in a plurality of clusters. Morphological patterns are identified from the spatial arrangement of the probe spots in the various clusters.

Abstract: A method and system for estimating air mass per cylinder of an internal combustion engine is provided. An output signal from a MAF sensor is digitally processed to provide an estimate air mass per cylinder (APC). The system includes the MAF sensor; a data acquisition unit configured to receive an output signal from the MAF sensor and produce a sampled signal having a sampling rate greater than one sample per firing event; a multiple band pass (MBP) filter configured to remove signal components caused by airflow pulsations and oscillations through the MAF sensor; an envelope detector configured to detect the lower and upper envelopes of the MBP filtered signal; a MAF estimator configured to estimate a mass airflow based on the detected lower and upper envelopes; a signal decimator; a low pass filter; and a APC converter to converted the low pass filtered signal into an estimated APC.

Abstract: Computationally-efficient techniques facilitate secure crowdsourcing of genomic and phenotypic data, e.g., for large-scale association studies. In one embodiment, a method begins by receiving, via a secret sharing protocol, genomic and phenotypic data of individual study participants. Another data set, comprising results of pre-computation over random number data, e.g., mutually independent and uniformly-distributed random numbers and results of calculations over those random numbers, is also received via secret sharing. A secure computation then is executed against the secretly-shared genomic and phenotypic data, using the secretly-shared results of the pre-computation over random number data, to generate a set of genome-wide association study (GWAS) statistics. For increased computational efficiency, at least a part of the computation is executed over dimensionality-reduced genomic data.

Abstract: A vision-aided inertial navigation system comprises an image source to produce image data for poses of reference frames along a trajectory, a motion sensor configured to provide motion data of the reference frames, and a hardware-based processor configured to compute estimates for a position and orientation of the reference frames for the poses. The processor executes a square-root inverse Schmidt-Kalman Filter (SR-ISF)-based estimator to compute, for features observed from poses along the trajectory, constraints that geometrically relate the poses from which the respective feature was observed. The estimator determines, in accordance with the motion data and the computed constraints, state estimates for position and orientation of reference frames for poses along the trajectory and computes positions of the features that were each observed within the environment.

Abstract: The present invention relates to methods of determining a cancer treatment prognosis for a subject in need thereof by evaluating epigenetic and genetic changes within a tumor sample from the subject. The present invention further provides methods of treating cancer in a subject by evaluating epigenetic and genetic changes within a tumor sample from the subject. In addition, the present invention provides methods of screening test agents to identify agents that decrease tumor cell plasticity.

Abstract: Computing equipment may perform format-preserving encryption and decryption by partitioning an input string into first and second portions. The computing equipment may combine the first portion with the second portion after the second portion has been passed through a pseudorandom function using a format-preserving combination operation that requires inputs having a similar domain size. A data size adjustment engine may adjust the domain size of the output of the pseudorandom function to be similar to the domain size of the first string. In order to mitigate undesirable data overflows, the output of the pseudorandom function may be partitioned into a number of computationally simpler terms each having a modulo factor and a pre-computed constant value. The computing equipment may pre-compute the constant values in advance, thereby reducing the computational complexity required for performing the size adjustment operations without generating undesirable data overflows.

Abstract: Disclosed herein in one aspect is a pharmaceutical composition comprising a plurality of neoantigenic peptides and a pharmaceutically acceptable carrier, each neoantigenic peptide comprising a tumor-specific neoepitope capable of binding to an HLA protein in a subject, each tumor-specific neoepitope comprising a tumor-specific mutation present in a tumor, wherein (a) the composition comprises neoantigenic peptides comprising tumor-specific mutations present in at least 1% of subjects in a population of subjects suffering from cancer; (b) the composition comprises neoantigenic peptides comprising tumor-specific neoepitopes which bind to HLA proteins present in at least 5% of subjects in the population; and (c) the composition comprises at least one neoantigenic peptide capable of eliciting an immune response against a tumor present in at least 5% of the subjects in the population of subjects suffering from cancer.

Abstract: Disclosed herein in one aspect is a pharmaceutical composition comprising a plurality of neoantigenic peptides and a pharmaceutically acceptable carrier, each neoantigenic peptide comprising a tumor-specific neoepitope capable of binding to an HLA protein in a subject, each tumor-specific neoepitope comprising a tumor-specific mutation present in a tumor, wherein (a) the composition comprises neoantigenic peptides comprising tumor-specific mutations present in at least 1% of subjects in a population of subjects suffering from cancer; (b) the composition comprises neoantigenic peptides comprising tumor-specific neoepitopes which bind to HLA proteins present in at least 5% of subjects in the population; and (c) the composition comprises at least one neoantigenic peptide capable of eliciting an immune response against a tumor present in at least 5% of the subjects in the population of subjects suffering from cancer.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Various embodiments provide an approach to detect intrusion of connected IoT devices. In operation, features associated with behavioral attributes as well as volumetric attributes of network data patterns of different IoT devices is analyzed by means of statistical analysis to determine deviation from normal operation data traffic patterns to detect anomalous operations and possible intrusions. Data from multiple networks and devices is combined in the cloud to provide for improved base models for statistical analysis.

Abstract: Pharmaceutical formulations and methods for the topical or transdermal delivery of 1-isobutyl-1H-imidazo[4,5-c]-quinolin-4-amine or 1-(2-methylpropyl)-1H-imidazo[4,5-c]quinolin-4-amine, imiquimod, to treat actinic keratosis with short durations of therapy, than currently prescribed for the commercially available Aldara® 5% imiquimod cream, as now approved by the U.S. Food & Drug Administration (“FDA”), are disclosed and described. More specifically, lower dosage strength imiquimod formulations to deliver an efficacious dose of imiquimod for treating actinic keratosis with an acceptable safety profile and dosing regimens that are short and more convenient for patient use than the dosing regimen currently approved by the U.S. Food & Drug Administration (“FDA”) for Aldara® 5% imiquimod cream to treat actinic keratosis are also disclosed and described.