Abstract: Methods and devices for evaluating viability and/or degree of contamination of cells cultured in a reactor, which includes providing luminescent dye in the reactor whose luminescence anisotropy is influenced by the viability or the degree of contamination of the cells, exciting the luminescent dye to luminesce by irradiating polarized light into the medium. polarizing light emitted by the luminescent dye that leaves the medium, and detecting the polarized emitted light with a light sensor, where the polarized emitted light is detected as at least two luminescence values in at least two different polarization angles, and determining at least one anisotropy value from the at least two luminescence values by means of mathematical methods, which correlates with the viability or the degree of contamination of the cells.

Abstract: A fluid sensor cartridge that can be used to monitor composition of constituent materials or characteristics of a sample fluid or a patient's blood. The fluid sensor cartridge can be connected in-line with a medical device during a medical treatment. The fluid sensor cartridge can utilize one or more valves, one or more channels, and one or more reservoirs to enable sampling, sensing, and calibrating of a sample fluid or a patient's blood in one container with minimal amounts of sample/blood and calibration fluid.

Abstract: To reduce the total amount of linear sequence (DNA, RNA or other medium) required to encode a set of genetic elements, the present disclosure describes a computational method for compressing genetic information by finding one or more sequences that each mutually encode multiple genetic elements in the same stretch of sequence (a “co-encoding”). The computational method encodes each of the genetic elements in respective directed acyclic graphs (DAGs) or finite automatons (FAs), then encodes overlapping sequences between the DAGs or FAs in a second DAG or FA. Additional DAGs or FAs may be encoded for overlapping sequences that result from shifting the reading frame of the genetic elements relative to one another and switching the orientation of the elements.

Abstract: This disclosure describes compounds of Formula (I), stereoisomers, side compounds thereof, pharmaceutical compositions and methods of manufacturing such compounds, using silylation reagents and producing compositions and products made using such methods. More particularly, this disclosure describes manufacture of trofinetide and side products, compositions and products containing such compounds, for pharmaceutical uses to treat neurodegenerative or neurodevelopmental disorders.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: The present disclosure relates to configuring and operating Internet of things (IoT) elements connected by a network. A computing device receives an interface component corresponding to an IoT element. The computing device retrieves a description of the interface component at least describing a set of restrictions of an operation of the IoT element. The computing device deploys the interface component in the computing device to at least translate events and commands specific to the IoT element to common events and commands for processing in the computing device. The computing device sends at least a subset of the description of the interface component to a user device to cause the user device to generate a user interface for configuring the operation of the IoT element.

Abstract: A load sensor includes a compressible body positionable between two surfaces. The compressible body has a plurality of aligned layers including first and second outer shims with a middle shim positioned therebetween and with a resilient material interposed between each adjacent shim. The second outer shim has a gap that exposes an unsupported area of the middle shim. A strain gauge is coupled to the middle shim in the unsupported area. When the compressible body is uncompressed, the resilient material interposed between the first outer shim and the middle shim has a substantially uniform thickness. When the compressible body is compressed between the two surfaces, the resilient material aligned with the unsupported area and interposed between the first outer shim and the middle shim has a nonuniform thickness such that the middle shim deflects away from the first outer shim in the unsupported area, thereby deforming the strain gauge.

Abstract: A sensor module is disclosed. The sensor module can include a housing body that is disposed about a cavity that is sized and shaped to receive a container in which a substance is disposed in an operational configuration of the sensor module. The sensor module can include a first electrode that is coupled to or formed with the housing body. The first electrode is disposed at a first peripheral position on the housing body. The sensor module can include a second electrode that is coupled to or formed with the housing body. The second electrode is disposed at a second peripheral position on the housing body that is opposite the first peripheral position. The cavity is disposed between the first and second electrodes in the operational configuration of the housing body.

Abstract: Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving at least one of home data for a property or user data for a user; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; (3) receiving, from the user, a home modification indication; (4) modifying, based upon the home modification indication, at least one of the one or more home score factors to create one or more modified home score factors; and (5) generating, based upon the one or more modified home score factors, a home score for the property.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving at least one of home data for a property or user data for a user; (2) determining, using a trained machine learning evaluation model, one or more home score factors based upon at least one of the home data or the user data; (3) receiving, from the user, a home modification indication; (4) modifying, based upon the home modification indication, at least one of the one or more home score factors to create one or more modified home score factors; and (5) generating, based upon the one or more modified home score factors, a home score for the property.

Abstract: Systems and methods are described for evaluating and analyzing home data to generate a home score. The method may include: (1) retrieving home data for a property; (2) determining, based upon the home data for the property, one or more home score factors, wherein the determining may include: (i) analyzing, using a trained machine learning data evaluation model, the home data for the property to determine home characteristic data for the property, (ii) analyzing, using the trained machine learning data evaluation model, the home data for the property to determine a likelihood of loss associated with the property, and (iii) determining, based upon the home characteristic data for the property and the likelihood of loss associated with the property; and (3) generating, based upon the one or more home score factors, a home score for the property.

Abstract: A flow meter is disclosed. The flow meter can include a housing that has a cavity. The flow meter can also include a deformable tube that is disposed in the cavity. The deformable tube can comprise a portion of a flow path of a fluid substance. The flow meter can further include a cam that is rotatably coupled to the housing. A portion of the cam is configured to press against a portion of the collapsible tube so as to deform the portion of the collapsible tube. The cam can be configured to rotate in response to a flow of the fluid substance in the flow path.

Abstract: In some embodiments, the present disclosure pertains to compositions and methods related to delivery of a biologically active agent, wherein the compositions comprise a biologically active agent and a lipid. In various embodiments, the lipid is selected from: lauric acid, myristic acid, palmitic acid, stearic acid, oleic acid, linoleic acid, alpha-linolenic acid, gamma-linolenic acid, docosahexaenoic acid (cis-DHA), turbinaric acid and dilinoleyl. In some embodiments, a composition and method are useful for delivery of a biologically active agent to a particular cell or tissue, e.g., a muscle cell or tissue.

Abstract: A battery assembly is disclosed. The battery assembly can include a first electrode disposed in a first substrate section and a second electrode disposed in a second substrate section. The battery assembly can also include an adhesive that bonds the first substrate section to the second substrate section. The adhesive partially defines a chamber between the first and second electrodes. The battery assembly can also include an electrolyte disposed in the chamber between the first and second electrodes.

Abstract: The present disclosure relates to configuring and operating Internet of things (IoT) elements connected by a network. A computing device receives an interface component corresponding to an IoT element. The computing device retrieves a description of the interface component at least describing a set of restrictions of an operation of the IoT element. The computing device deploys the interface component in the computing device to at least translate events and commands specific to the IoT element to common events and commands for processing in the computing device. The computing device sends at least a subset of the description of the interface component to a user device to cause the user device to generate a user interface for configuring the operation of the IoT element.

Abstract: A substance delivery device is disclosed. The substance delivery device includes a lever that includes a drive arm that is rotatable about a pivot. The substance delivery device also includes a pump that has a deformable chamber. The deformable chamber is configured to rotate the drive arm about the pivot towards a container so as to deform the container to drive a fluid substance from the container.

Abstract: A sample testing device is disclosed. The sample testing device can include a first compartment that is configured to receive a test sample, a second compartment that is configured to receive the test sample, a separator that is disposed between and separating the first compartment and the second compartment, and a mechanical lock structure that is configured to lock and unlock a movement of the separator. When the mechanical lock is unlocked, the separator opens to transfer the test sample from the first compartment to the second compartment. The sample testing device can include a sensing assembly.