Abstract: Systems and methods are provided for predicting systematic design rule check (DRC) violations in a placement layout before routing is performed on the placement layout. A systematic DRC violation prediction system includes DRC violation prediction circuitry. The DRC violation prediction circuitry receives placement data associated with a placement layout. The DRC violation prediction circuitry inspects the placement data associated with the placement layout, and the placement data may include data associated with a plurality of regions of the placement layout, which may be inspected on a region-by-region basis. The DRC violation prediction circuitry predicts whether one or more systematic DRC violations would be present in the placement layout due to a subsequent routing of the placement layout.

Abstract: Methods and apparatus to identify and quantify the microorganisms present in a sample. Sequence reads are classified using existing methods, but the classification results are corrected to account for the number of reads expected to be falsely classified as determined through simulation. With statistics on the expected number of reads misclassified, a linear least squares method (non-negative or otherwise) or other related technique can be used to adjust the number of reads that are classified to various taxonomic units (e.g., species) and to determine more accurate values for the quantities of those taxonomic units actually present in the sample, eliminating microorganisms in taxonomic units falsely determined to be present in the sample.

Abstract: Systems and methods are provided for predicting systematic design rule check (DRC) violations in a placement layout before routing is performed on the placement layout. A systematic DRC violation prediction system includes DRC violation prediction circuitry. The DRC violation prediction circuitry receives placement data associated with a placement layout. The DRC violation prediction circuitry inspects the placement data associated with the placement layout, and the placement data may include data associated with a plurality of regions of the placement layout, which may be inspected on a region-by-region basis. The DRC violation prediction circuitry predicts whether one or more systematic DRC violations would be present in the placement layout due to a subsequent routing of the placement layout.

Abstract: Described herein, inter alia, are compositions and methods for modulating mu opioid receptor activity.

Abstract: The present invention provides for a method to identify a hospital acquired infection. The method includes computing the number of changes over time between an infection sample and at least a subset of the plurality of infection samples and determining if the number of changes over time is within an interval of an expected number of changes. If so, marking the infection sample as a hospital acquired infection.

Abstract: Systems and methods are provided for predicting static voltage (SIR) drop violations in a clock-tree synthesis (CTS) layout before routing is performed on the CTS layout. A static voltage (SIR) drop violation prediction system includes SIR drop violation prediction circuitry. The SIR drop violation prediction circuitry receives CTS data associated with a CTS layout. The SIR drop violation prediction circuitry inspects the CTS layout data associated with the CTS layout, and the CTS layout data may include data associated with a plurality of regions of the CTS layout, which may be inspected on a region-by-region basis. The SIR drop violation prediction circuitry predicts whether one or more SIR drop violations would be present in the CTS layout due to a subsequent routing of the CTS layout.

Abstract: The invention relates to a method of culturing mammalian cells expressing a heterologous protein in a perfusion cell culture comprising adding iron and a retinoid to reduce wasteful cell bleed during production phase. The invention further relates to a serum-free perfusion medium comprising iron and a retinoid and its use for culturing cells in a perfusion culture during production phase or for reducing the cell bleed volume during production phase.

Abstract: The invention relates to a method of culturing mammalian cells expressing a heterologous protein in a perfusion cell culture comprising increasing the potassium concentration and decreasing the molar ratio of sodium to potassium to reduce wasteful cell bleed and to increase protein production. The invention further relates to a serum-free perfusion medium comprising a high potassium ion concentration and a low molar ratio of sodium to potassium and to the use of this medium for use in culturing cells in a perfusion culture during production phase or for reducing the cell bleed volume during production phase.

Abstract: In healthcare associated infection (HAI) outbreak tracking, different transmission tree inference algorithm processes (40) are performed on genetic variants data (26) for a set of HAI infected persons to generate a plurality of transmission trees (42) representing parent-child infectious transmission links. For each transmission tree, the value (44) of a correlation metric is computed, which measures correlation of the transmission tree with a clinical correlate (46). For each random trial of a plurality of random trials (52), the value (54) of the correlation metric is also computed. A statistical likelihood (60) of each transmission tree given the clinical correlate is estimated from the computed values of the correlation metric for the random trials and for the transmission tree. This may, for example, be a p-value. An optimal transmission tree is selected from amongst the plurality of transmission trees based on the estimated statistical likelihoods.

Abstract: The present disclosure provides a method of culturing mammalian cells, e.g., by perfusion cell culture, expressing a heterologous protein in a cell culture, comprising culturing mammalian cells expressing a heterologous protein in a culture medium comprising an effective amount of one or more lipids or lipid metabolites selected from the group consisting of: linoleic acid, arachidonic acid, and prostaglandin E2, or derivatives and/or precursors thereof. The lipids or lipid metabolites or combinations thereof can lead to growth suppression and/or increased productivity with reduced cell bleed. The present disclosure also provides methods for increasing the productivity of a cell culture by culturing the cells in a culture medium comprising an effective amount of one or more lipids or lipid metabolites selected from the group consisting of: linoleic acid, arachidonic acid, and prostaglandin E2, or derivatives and/or precursors thereof.

Abstract: Systems and methods are provided for predicting static voltage (SIR) drop violations in a clock-tree synthesis (CTS) layout before routing is performed on the CTS layout. A static voltage (SIR) drop violation prediction system includes SIR drop violation prediction circuitry. The SIR drop violation prediction circuitry receives CTS data associated with a CTS layout. The SIR drop violation prediction circuitry inspects the CTS layout data associated with the CTS layout, and the CTS layout data may include data associated with a plurality of regions of the CTS layout, which may be inspected on a region-by-region basis. The SIR drop violation prediction circuitry predicts whether one or more SIR drop violations would be present in the CTS layout due to a subsequent routing of the CTS layout.

Abstract: A method for providing on-demand service information is provided. One or more processors determine, for a given geographic region, position information for each of a plurality of requesters for an on-demand service and position information for each of a plurality of service providers that can provide the on-demand service. A plurality of sub-regions is identified for the given geographic region. Based, at least in part, on the position information of the requesters and the service providers, one or more sub-regions are determined as being under-supplied by the plurality of service providers as compared to one or more other sub-regions. Information identifying the under-supplied sub-regions are provided to one or more service provider devices.

Abstract: A power converter module includes an active metal braze (AMB) substrate, power converter circuitry, and a housing. The AMB substrate includes an aluminum nitride base layer, a first conductive layer on a first surface of the aluminum nitride base layer, and a second conductive layer on a second surface of the aluminum nitride base layer opposite the first surface. The power converter circuitry includes a number of silicon carbide switching components coupled to one another via the first conductive layer. The housing is over the power converter circuitry and the AMB substrate. By using an AMB substrate with an aluminum nitride base layer, the thermal dissipation characteristics of the power converter module may be substantially improved while maintaining the structural integrity of the power converter module.

Abstract: Described herein, inter alia, are compositions and methods for modulating mu opioid receptor activity.

Abstract: Methods and systems for monitoring and determining antimicrobial resistance and antimicrobial treatment using genomic subtype information. Various embodiments utilize molecular epidemiology and next-generation sequencing technologies (NGS) to monitor multi-drug resistant pathogens and provide early insight into emergent microbial threats.

Abstract: A power converter module includes an active metal braze (AMB) substrate, power converter circuitry, and a housing. The AMB substrate includes an aluminum nitride base layer, a first conductive layer on a first surface of the aluminum nitride base layer, and a second conductive layer on a second surface of the aluminum nitride base layer opposite the first surface. The power converter circuitry includes a number of silicon carbide switching components coupled to one another via the first conductive layer. The housing is over the power converter circuitry and the AMB substrate. By using an AMB substrate with an aluminum nitride base layer, the thermal dissipation characteristics of the power converter module may be substantially improved while maintaining the structural integrity of the power converter module.

Abstract: A power converter module includes an active metal braze (AMB) substrate, power converter circuitry, and a housing. The AMB substrate includes an aluminum nitride base layer, a first conductive layer on a first surface of the aluminum nitride base layer, and a second conductive layer on a second surface of the aluminum nitride base layer opposite the first surface. The power converter circuitry includes a number of silicon carbide switching components coupled to one another via the first conductive layer. The housing is over the power converter circuitry and the AMB substrate. By using an AMB substrate with an aluminum nitride base layer, the thermal dissipation characteristics of the power converter module may be substantially improved while maintaining the structural integrity of the power converter module.

Abstract: A system to identify genes that confer antibiotic resistance, comprising: a processor configured to: (i) identify a set of genes present in a sample of genome sequences sequenced from potentially pathogenic isolates; (ii) generate a genome sequence without the identified set of genes; (iii) generate a gene presence-absence matrix listing the genes present in each of the genome sequences, comprising an identification of each of the plurality of genes and an identification of each of the plurality of genome sequences, and comprising an identification of whether each of the genome sequences is obtained from an organism resistant to at least one antibiotic, and further comprising an identification of either presence or absence of the respective gene within the respective genome sequence; and (iv) identify at least one gene or mutation in the plurality of genome sequences associated with antibiotic resistance; and a user interface configured to provide a report.

Abstract: Methods and systems for identifying causal genetic mechanisms of antibiotic resistance in pathogens. In accordance with at least one embodiment, the system includes a gene resistance module to identify genes present in an antibiotic resistant pathogen, a single nucleotide polymorphism module to identify mutations present in an antibiotic resistant pathogen, and an antibiotic resistance module configured to output the causation of antibiotic resistance based on the identified genes and mutations.

Abstract: Systems and methods are provided for predicting systematic design rule check (DRC) violations in a placement layout before routing is performed on the placement layout. A systematic DRC violation prediction system includes DRC violation prediction circuitry. The DRC violation prediction circuitry receives placement data associated with a placement layout. The DRC violation prediction circuitry inspects the placement data associated with the placement layout, and the placement data may include data associated with a plurality of regions of the placement layout, which may be inspected on a region-by-region basis. The DRC violation prediction circuitry predicts whether one or more systematic DRC violations would be present in the placement layout due to a subsequent routing of the placement layout.