Abstract: The present disclosure relates to novel methods for preparing antibacterial aminoglycoside compounds, as well as to related intermediates, and crystal forms thereof, useful in such methods.

Abstract: The present disclosure relates to mTOR inhibitors. Specifically, the embodiments are directed to compounds and compositions inhibiting mTOR, methods of treating diseases mediated by mTOR, and methods of synthesizing these compounds.

Abstract: Described are antibodies that specifically bind to the Axl protein and inhibit the interaction between Axl and the Axl-ligand, Gas6. Also disclosed are methods for the production and use of the anti-Axl antibodies.

Abstract: Methods of inducing segmented flow in a material in which a ductile flow mode would otherwise occur during machining. A monolayer molecular film is formed on a surface of a body of a material in a state such that the material exhibits ductile flow when subjected to shear. The monolayer molecular film has molecules each having a head group adsorbed to the surface, a terminal group, and a hydrocarbon chain therebetween having a chain length of greater than 6. A surface portion of the body is removed by engaging the body with a tool in a contact region below the surface of the body and moving the tool relative to the body to remove the surface portion and the monolayer molecular film thereon. The monolayer molecular film induces segmented flow in the material during the removing of the surface portion.

Abstract: An Axl inhibitor and one or more immune checkpoint (activity) modulators and/or one or more oncolytic viruses, for use in the prevention, treatment or management of cancer, wherein the Axl inhibitor and the one or more immune checkpoint (activity) modulators and/or the one or more oncolytic viruses are administered concurrently, separately or sequentially; compositions containing such components in combination; and methods of treating cancer in a patient by administering such components in combination.

Abstract: Systems and methods are provided for monitoring a plurality of chat messages. Values are extracted from multiple chat messages between a first party and a second party. Context is determined for the values and/or messages. The context is used to determine the relationship between the values, messages, and one or more transactions. Once all values of a transaction are identified, an order ticket is generated.

Abstract: A zinc-air charger having a case defining a plurality of pass core vents, and an internal case cavity; a plurality of zinc-air cells that are electrically coupled and disposed within the internal case cavity; a coupling plug configured to couple with and provide electrical power generated by the plurality of zinc-air cells to a device that is separate from the zinc-air charger; and a system configured to: output electrical power generated by the plurality of zinc-air cells to the device; identify a state of the plurality of zinc-air cells, determine, based at least in part on the identified state of the plurality of zinc-air cells, that one or more of the plurality of zinc-air cells are air-starved, and in response to determining that the one or more of the plurality of zinc-air cells are air-starved, generate a power cut-off for a period of time that ceases electrical power output to the device.

Abstract: Anomaly detection for streaming data is provided. A spiking neural network receives inputs of streaming data, wherein each input is contained within a number of neighborhoods and converts the inputs into phase-coded spikes. A median value of each input is calculated for each size neighborhood containing the input, and an absolute difference of each input from its median value is calculated for each size neighborhood. From the absolute differences, a median absolute difference (MAD) value of each input is calculated for each size neighborhood. It is determined whether the MAD value for any size neighborhood exceeds a respective threshold. If the MAD value exceeds its threshold, an anomaly indication is output for the input. If none of the MAD values for the neighborhoods exceeds its threshold, a normal indication is output for the input.

Abstract: The present disclosure is directed to extracting text from form-like documents. In particular, a computing system can obtain an image of a document that contains a plurality of portions of text. The computing system can extract one or more candidate text portions for each field type included in a target schema. The computing system can generate a respective input feature vector for each candidate for the field type. The computing system can generate a respective candidate embedding for the candidate text portion. The computing system can determine a respective score for each candidate text portion for the field type based at least in part on the respective candidate embedding for the candidate text portion. The computing system can assign one or more of the candidate text portions to the field type based on the respective scores.

Abstract: Methods and compositions for treating acute myeloid leukemia and diffuse large B cell lymphoma using combinations of venetoclax and indolinone derivatives are provided.

Abstract: The present disclosure relates to mTOR inhibitors. Specifically, the embodiments are directed to compounds and compositions inhibiting mTOR, methods of treating diseases mediated by mTOR, and methods of synthesizing these compounds.

Abstract: An illuminated display device that includes a hinge post, a support post positioned in a laterally spaced relationship to the hinge post, and at least one support arm pivotably coupled to the hinge post and movable between a first position and an second position. The at least one support arm is configured to engage with the support post when moved to the first position. The illuminated display device further includes a display assembly supported by the at least one support arm and configured to support at least one display screen.

Abstract: The present disclosure relates to novel methods for preparing antibacterial aminoglycoside compounds, as well as to related intermediates, and crystal forms thereof, useful in such methods.

Abstract: A method for simulating a random walk using spiking neuromorphic hardware is provided. The method comprises receiving, by a buffer count neuron, spiking inputs from upstream mesh nodes, wherein the inputs include information packets comprising information associated with a simulation of a random walk process. A buffer generator neuron generates spikes until the buffer count reaches a first predefined threshold, after which it sends buffer spiking outputs to a spike count neuron. The spike count neuron counts the buffer spiking outputs, and a spike generator neuron generates spikes until the spike count neuron reaches a second specified threshold. The spike generator neuron then sends counter spiking outputs to a probability neuron, which selects downstream mesh nodes to receive the counter spiking outputs, wherein the spiking outputs include updated information packets. The probability neuron then sends the spiking outputs to the selected downstream nodes.

Abstract: Detecting anomalies with a spiking neural network is provided. An input layer receives a number of inputs and converts them into phase-coded spikes, wherein each input is contained within a number of progressively larger neighborhoods of surrounding inputs. From the phase-coded spikes, a median value of each input is computed for each size neighborhood. An absolute difference of each input from its median value is computed for each size neighborhood. A median absolute difference (MAD) of each input is computed for each size neighborhood. For each input, an adaptive median filter (AMF) determines if a MAD for any size neighborhood exceeds a respective threshold. If one or more neighborhoods exceeds its threshold, the AMF outputs the median value of the input for the smallest neighborhood. If none of the neighborhoods exceeds the threshold, the AMF outputs the original value of the input.

Abstract: The present invention relates to a sampling device 100. The sampling device 100 comprises a separate compartment 110 that is ejected creating an increased space or volume for a sample to be stored. The sampling device 100 of the present invention is suitable for collecting a sample in an aquaculture environment, enclosed system or in the gastrointestinal tract of a human or an animal. The invention also relates to a method of orally administering the device 100 to an animal and recovering the device 100 and/or separate compartment 110 to carry out analysis on the collected sample for diagnosing the health of the gastrointestinal tract and determining nutrient absorption and digestibility.

Abstract: The present invention relates to a sampling device 100. The sampling device 100 comprises a separate compartment 110 that is ejected creating an increased space or volume for a sample to be stored. The sampling device 100 of the present invention is suitable for collecting a sample in an aquaculture environment, enclosed system or in the gastrointestinal tract of a human or an animal. The invention also relates to a method of orally administering the device 100 to an animal and recovering the device 100 and/or separate compartment 110 to carry out analysis on the collected sample for diagnosing the health of the gastrointestinal tract and determining nutrient absorption and digestibility.

Abstract: Systems and methods are described for repairing recordings with at least a portion of a content item stored by a user device. If received metadata does not match reference metadata associated with a reference of the content item, one or more portions of the content stored by the user device may be damaged. The reference metadata and at least portions of the reference content item corresponding to the one or more portions of the content stored by the user device that are damaged may be received to replace the damaged content.

Abstract: A method for increasing a speed or energy efficiency at which a computer is capable of modeling a plurality of random walkers. The method includes defining a virtual space in which a plurality of virtual random walkers will move among different locations in the virtual space, wherein the virtual space comprises a plurality of vertices and wherein the different locations are ones of the plurality of vertices. A corresponding set of neurons in a spiking neural network is assigned to a corresponding vertex such that there is a correspondence between sets of neurons and the plurality of vertices, wherein a spiking neural network comprising a plurality of sets of spiking neurons is established. A virtual random walk of the plurality of virtual random walkers is executed using the spiking neural network, wherein executing includes tracking how many virtual random walkers are at each vertex at a given time increment.

Abstract: The present disclosure is directed to extracting text from form-like documents. In particular, a computing system can obtain an image of a document that contains a plurality of portions of text. The computing system can extract one or more candidate text portions for each field type included in a target schema. The computing system can generate a respective input feature vector for each candidate for the field type. The computing system can generate a respective candidate embedding for the candidate text portion. The computing system can determine a respective score for each candidate text portion for the field type based at least in part on the respective candidate embedding for the candidate text portion. The computing system can assign one or more of the candidate text portions to the field type based on the respective scores.