Abstract: Disclosed are compounds having the formula: wherein q, r, s, A, B, C, RA1, RA2, RB1, RB2, RC1, RC2, R3, R4, R5, R6, R14, R15, R16, and R17, are as defined herein, or a tautomer thereof, or a salt, particularly a pharmaceutically acceptable salt, thereof.

Abstract: Provided are methods relating to compositions that include a CDP-camptothecin or camptothecin derivative conjugate, e.g., CRLX101.

Abstract: A method for arterial endothelial-enhanced functional T cell generation is provided. In the method, arterial endothelial cells enhance functional T cell generation by promoting the generation of hematopoietic progenitor cells with T-lineage bias. The first stage of T cell differentiation from human pluripotent stem cells (hPSCs) is optimized, and it is found that hPSC-derived autologous arterial endothelial cells increase the T cell potential of hematopoietic progenitor cells. Moreover, the T cells generated by arterial endothelial cell priming share similar function to that of human peripheral blood T cells. hPSC-derived CD19-CAR-T cells have been verified to have tumor-killing effects both in vivo and in vitro. The established hPSC-T differentiation system would provide a valuable resource for chimeric antigen receptor T cell (CAR-T) therapy.

Abstract: Disclosed are compounds having the formula: wherein q, r, s, A, B, C, RA1, RA2, RB1, RB2, RC1, RC2, R3, R4, R5, R6, R14, R15, R16, and R17, are as defined herein, or a tautomer thereof, or a salt, particularly a pharmaceutically acceptable salt, thereof.

Abstract: Apparatus and method for migrating a container including graphics processor state.

Abstract: The invention features the use of a matrix consisting of low molecular weight components for use as a self-eliminating coating for implantable medical devices. The matrix coatings can be used to enhance biocompatibility and to control the local delivery of biologically active agents.

Abstract: Systems and methods for completing a morphological characterization of an image of a placenta and providing suggested pathological diagnoses are disclosed. A system includes programming instructions that, when executed, cause processing devices to execute commands according to the following logic modules: an Encoder module that receives the digital image of the placenta and outputs a pyramid of feature maps, a SegDecoder module that segments the pyramid of feature maps on a fetal side image and on a maternal side image, a Classification Subnet module that classifies the fetal side image and the maternal side image, and a convolutional IPDecoder module that localizes an umbilical cord insertion point of the placenta from the classified fetal side image and the classified maternal side image. The localized umbilical cord insertion point, segmentation maps for the classified fetal side and maternal side images are provided to an external device for determining the morphological characterization.

Abstract: An approach is disclosed that provides personalized two-way communication with a uniquely identified object and an AI agent. Information about the object in a context associated with a requestor is received to access to an object knowledge base. The information is analyzed to determine a unique reference for the object. A selected set of the received information and the object categorization may be sent to an object knowledge base populated with AI configuration parameters tied to uniquely identified objects. The object knowledge base is searched for the unique reference to determine a registration assessment. The registration assessment is one of registered and not registered. When the registration assessment is determined to be not registered, the object is added to the object knowledge base. After receiving an AI connection from the object knowledge base, the context associated with the requestor is sent to the AI connection.

Abstract: The invention relates to combinations comprising a compound of the formula: or a salt thereof; and one or more additional pharmaceutically agents active against HIV, and methods of using the same.

Abstract: The present disclosure relates generally to systems and methods for determining an order of nucleotides of an RNA molecule. The method includes receiving liquid chromatography-mass-spectrometry (LC-MS) data of an RNA sample, filtering the LC-MS data based on mass, the filtering including removing masses smaller than a predetermined size, analyzing the filtered LC-MS data, to determine a plurality of RNA sequences, and reading-out an RNA sequence after determining no remaining valid nucleotides in the remaining LC-MS data. Analyzing the filtered LC-MS data includes determining a mass difference between at least two adjacent ladder fragments, and determining whether the mass difference is equal to a canonical nucleotide, or a modified nucleotide. The LC-MS data including a mass, retention time (RT), and volume. The RNA sequence including a sequence of each identified canonical nucleotide and any identified modified nucleotides.

Abstract: Disclosed are compounds having the formula: wherein q, r, s, A, B, C, RA1, RA2, RB1, RB2, RC1, RC2, R3, R4, R5, R6, R14, R15, R16, and R17, are as defined herein, or a tautomer thereof, or a salt, particularly a pharmaceutically acceptable salt, thereof.

Abstract: Provided are methods relating to compositions that include a CDP-camptothecin or camptothecin derivative conjugate, e.g., CRLX101.

Abstract: Systems and methods for completing a morphological characterization of an image of a placenta and providing suggested pathological diagnoses are disclosed. A system includes programming instructions that, when executed, cause processing devices to execute commands according to the following logic modules: an Encoder module that receives the digital image of the placenta and outputs a pyramid of feature maps, a SegDecoder module that segments the pyramid of feature maps on a fetal side image and on a maternal side image, a Classification Subnet module that classifies the fetal side image and the maternal side image, and a convolutional IPDecoder module that localizes an umbilical cord insertion point of the placenta from the classified fetal side image and the classified maternal side image. The localized umbilical cord insertion point, segmentation maps for the classified fetal side and maternal side images are provided to an external device for determining the morphological characterization.

Abstract: An emotion analysis and recognition system including an automated recognition of bodily expression of emotion (ARBEE) system is described. The system may include program instructions executable by a processor to: receive a plurality of body movement models, each body movement model generated based on a crowdsourced body language dataset, calculate at least one evaluation metric for each body movement model, select a highest ranked body movement model based on the at least one metric calculated for each body movement model, combine the highest ranked body movement model with at least one other body movement model of the plurality of body movement models, calculate at least one evaluation metric for each combination of body movement models, and determine a highest ranked combination of body movement models to predict a bodily expression of emotion.

Abstract: Systems, methods, and computer-readable media for electronically assessing a visual significance of pixels or regions in an electronic image are disclosed. A method includes receiving the electronic image, performing a composition analysis on the electronic image, the composition analysis includes partitioning the electronic image into a plurality of segments or a plurality of parts, constructing an attributed composition graph having a plurality of nodes, where each node corresponds to a segment or a part and where each node includes one or more attributes, modeling the visual significance of the electronic image based on the attributed composition graph using a statistical modeling process or a computational modeling process to obtain a plurality of values, and constructing a composition significance map having a significance score for each segment or each part according to the values obtained from the statistical modeling process or the computational modeling process.

Abstract: A hash calculation is performed using a portion or portions of a packet that is to be transmitted or is received. The calculated hash value can be used to select an entry that defines how the packet is to be handled. The performance of the lookup operation can be monitored and if the hash calculation is resulting in excessive collisions or extra processing steps are needed in connection with the lookup operation, then the inputs to the hash calculation can be modified to attempt to improve the performance of the lookup operation. For example, if performance of the lookup operation meets a threshold level to trigger a change in inputs, then different inputs can be selected and specified for use.

Abstract: A method of improving quality of crowdsourced affective data based on agreement relationship between a plurality of annotators include receiving, by a processor, a collection of stimuli previously given affective labels by the plurality of annotators, executing, by a processor, an algorithm operative to perform the steps including constructing an agreement multigraph as a probabilistic model including a pair-wise status of agreement between the affective labels given by different ones of the plurality of annotators, learning the probabilistic model computationally using the crowdsourced affective data, identifying a reliability of each of the plurality of annotators based on the learned model, and adjusting the crowdsourced affective data by calculating the affective labels of each stimuli based on the identified reliability of each of the plurality of annotators, thereby improving the quality of the crowdsourced affective data.

Abstract: Systems, methods, and computer-readable media for electronically assessing a visual significance of pixels or regions in an electronic image are disclosed. A method includes receiving the electronic image, performing a composition analysis on the electronic image, the composition analysis includes partitioning the electronic image into a plurality of segments or a plurality of parts, constructing an attributed composition graph having a plurality of nodes, where each node corresponds to a segment or a part and where each node includes one or more attributes, modeling the visual significance of the electronic image based on the attributed composition graph using a statistical modeling process or a computational modeling process to obtain a plurality of values, and constructing a composition significance map having a significance score for each segment or each part according to the values obtained from the statistical modeling process or the computational modeling process.

Abstract: Provided are methods relating to compositions that include a CDP-camptothecin or camptothecin derivative conjugate, e.g., CRLX101.

Abstract: Disclosed are compounds having the formula: wherein R1, R2, R3 and Z are as defined herein, and methods of making and using the same.