Abstract: Nutritive Polypeptides are provided herein. Also provided are various other embodiments including nucleic acids encoding the polypeptides, recombinant microorganisms that make the polypeptides, vectors for expressing the polypeptides, methods of making the polypeptides using recombinant microorganisms, compositions and formulations that comprise the polypeptides, and methods of using the polypeptides, compositions and formulations.

Abstract: Embodiments described herein relate to removal of aluminum impurities from battery waste. In some aspects, a method for removing aluminum impurities includes preprocessing a quantity of battery waste to improve removal of aluminum impurities from the quantity of battery waste. The method further includes removing at least a portion of the aluminum impurities from the quantity of battery waste, modifying the removed aluminum impurities to form a coating precursor and/or a doping precursor, and applying the coating precursor and/or the doping precursor to an electrode material. In some embodiments, the method further includes characterizing the aluminum impurities in the quantity of battery waste and regenerating the electrode material. In some embodiments, the removing can be via sieving, cyclone separation, air separation, elutriation, and/or dissolution. In some embodiments, the doping precursor can include aluminum hydroxide (Al(OH)3).

Abstract: A camera application receives identifying information associated with a camera accessory for a camera. The camera application determines a unique identifier of the camera accessory based on the identifying information. The camera application provides the unique identifier of the camera accessory and a unique identifier of the camera to a machine-learning model. The machine-learning model outputs one or more optimization parameters associated with the camera accessory. The one or more optimization parameters guide a user on how to use the camera accessory with the camera. The camera application generates graphical data for displaying a user interface that includes the one or more optimization parameters. The camera application applies the one or more optimization parameters.

Abstract: A method includes using machine learning to classify and sort energy storage devices based on at least one of the detected chemical or physical properties. In some embodiments, the method can include irradiating an energy storage device with an input radiation and detecting the output radiation reflected or backscattered by the energy storage device. The method may further include detecting a physical property of the energy storage device.

Abstract: Embodiments described herein relate to methods of recycling battery waste. In some aspects, a method can include applying a first heat treatment at a temperature of between about 100° C. and about 700° C. to the battery waste, the first heat treatment decomposing at least about 80 wt % of the binder, separating the electrode material from the current collector, and applying a second heat treatment at a temperature between about 400° C. and about 1,200° C. to the electrode material to produce a regenerated electrode material, the second heat treatment decomposing at least 90 wt % of binder remaining in the electrode material to produce a regenerated electrode material. In some embodiments, the method can include applying a surface treatment to the electrode material to remove surface coatings and/or surface impurities from the electrode material. In some embodiments, the surface treatment can include applying a solvent to the electrode material.

Abstract: Embodiments described herein relate to removal of aluminum impurities from battery waste. In some aspects, a method for removing aluminum impurities includes preprocessing a quantity of battery waste to improve removal of aluminum impurities from the quantity of battery waste. The method further includes removing at least a portion of the aluminum impurities from the quantity of battery waste, modifying the removed aluminum impurities to form a coating precursor and/or a doping precursor, and applying the coating precursor and/or the doping precursor to an electrode material. In some embodiments, the method further includes characterizing the aluminum impurities in the quantity of battery waste and regenerating the electrode material. In some embodiments, the removing can be via sieving, cyclone separation, air separation, elutriation, and/or dissolution. In some embodiments, the doping precursor can include aluminum hydroxide (Al(OH)3).

Abstract: A system for taxiway navigation of an aircraft is disclosed. The system may include a display configured to display a graphical user interface (GUI) and a controller communicatively coupled to the display. The controller may include one or more processors configured to execute a set of program instructions stored in a memory. The program instructions may be configured to cause the processors to receive a current location of the aircraft, determine a route from the current location to a destination location, generate the GUI based on the route, and direct the display to display the GUI. The GUI may include a message bar, a next segment identifier, a dynamic distance indication, a direction arrow, and a current segment identifier.

Abstract: According to an aspect of the present inventive concept there is provided a probe for analysis of a liquid in a mixture of the liquid and solid substance. The probe comprises: a tube comprising a sample end configured to be inserted into the mixture; a cap configured to come into contact with the mixture at the sample end, the cap comprising one or more openings configured for allowing passage of the liquid therethrough, and for preventing passage of the solid substance therethrough; and an optical measurement head arranged in the tube and configured to come into contact with the liquid having passed the one or more openings, wherein the optical measurement head is configured to collect measurement information for analysis of the liquid.

Abstract: A method may obtain a failure propagation model, wherein the failure propagation model comprises: a model representation of a plurality of hardware components, a set of hardware failure probabilities; and a logic that maps signals to the hardware components. A method may receive an alert signal from the aircraft. A method may map the alert signal to the plurality of hardware components. A method may perform a root-cause diagnosis of the alert signal that has been mapped to the plurality of hardware components comprising: determining via the failure propagation model, one or more combinations of hardware failures associated with the alert signal; and determining a probability of occurrence associated with the combinations of hardware failures. A method may display a report that includes combinations of hardware failures associated with the alert signal and the probability of occurrence associated with the combinations of hardware failures.

Abstract: Embodiments described herein relate to methods of recycling battery waste. In some aspects, a method can include applying a first heat treatment at a temperature of between about 100° C. and about 700° C. to the battery waste, the first heat treatment decomposing at least about 80 wt % of the binder, separating the electrode material from the current collector, and applying a second heat treatment at a temperature between about 400° C. and about 1,200° C. to the electrode material to produce a regenerated electrode material, the second heat treatment decomposing at least 90 wt % of binder remaining in the electrode material to produce a regenerated electrode material. In some embodiments, the method can include applying a surface treatment to the electrode material to remove surface coatings and/or surface impurities from the electrode material. In some embodiments, the surface treatment can include applying a solvent to the electrode material.

Abstract: Systems, devices, and methods are disclosed herein for monitoring physiological data of subjects seated on a toilet, including systems, devices, and methods for monitoring light signals or readings on a toilet seat. In some embodiments, systems, devices, and methods disclosed herein include a set of sensors integrated into a seat (e.g., of a toilet), with the sensors being configured to measure multiple light signals associated with unique optical paths across a portion of tissue of an individual seated on the seat.

Abstract: Embodiments described herein relate to methods of recycling battery waste. In some aspects, a method can include applying a first heat treatment at a temperature of between about 100° C. and about 700° C. to the battery waste, the first heat treatment decomposing at least about 80 wt % of the binder, separating the electrode material from the current collector, and applying a second heat treatment at a temperature between about 400° C. and about 1,200° C. to the electrode material to produce a regenerated electrode material, the second heat treatment decomposing at least 90 wt % of binder remaining in the electrode material to produce a regenerated electrode material. In some embodiments, the method can include applying a surface treatment to the electrode material to remove surface coatings and/or surface impurities from the electrode material. In some embodiments, the surface treatment can include applying a solvent to the electrode material.

Abstract: A system for filtering and presenting notifications received by an aircraft includes a processor, a display device, a communication device, and computer-readable memory. The computer-readable memory encoded with instructions that, when executed by the processor, cause the system to perform the following steps. The system receives one or more broadcast notifications. The notifications are, for example, Notices to Air Missions (NOTAMs). The system filters the one or more broadcasted notifications based upon applicability to a present flight plan to generate applicable notifications. The system filters the applicable notifications based upon one or more filtering criteria to assign a criticality to each of the applicable notifications. The system display, via the display device, the applicable notifications based upon the criticality of each of the applicable notifications. The system outputs alternate flight plans due to restrictions on the present flight plan.

Abstract: Embodiments described herein relate to removal and addition of coatings from electrodes. In some aspects a method can include suspending an electrode mixture in a solvent, the electrode material including an electrode material and a coating material, agitating the electrode mixture via at least one of sonication or stirring, such that the coating material separates from the electrode material, and separating the electrode material from the conductive material. In some embodiments, the electrode material can include a binder and the solvent can dissolve the binder. In some embodiments, the electrode mixture is from a first electrode, and the method can further include removing a packaging from a battery and separating the first electrode from a second electrode and a separator. In some embodiments, the method can further include regenerating the active material. In some embodiments, the regenerating can include a heat treatment operation.

Abstract: Embodiments described herein relate to recycling of spent lithium battery material. In some aspects, a method can include suspending a lithium source in a solvent containing an oxidation reagent to extract lithium, forming an extracted lithium solution, separating the extracted lithium solution from residual solids of a lithium source, purifying the extracted lithium solution by precipitating and filtering impurities, and precipitating the lithium in the purified lithium solution to generate lithium carbonate (Li2CO3). In some embodiments, the method can further include preprocessing the lithium source to improve kinetics of the lithium extraction. In some embodiments, the preprocessing can include a cutting or shredding step to downsize the lithium source. In some embodiments, the lithium source can include lithium-ion battery waste.

Abstract: A smart toilet seat assembly for a toilet bowl for measuring physiological parameters of a user is provided. The smart toilet seat assembly includes a seat including a plurality of physiological sensors. Each of the plurality of physiological sensors is configured to generate at least one physiological parameter measurement data of the user. The smart toilet seat assembly further includes a plurality of load sensors configured to support the seat on the toilet bowl when used by the user and further to generate a weight measurement data of the user. Moreover, the smart toilet seat assembly includes a fixing arrangement configured to attach a lid to the seat and to attach the assembly to the toilet bowl. The fixing arrangement is configured to transfer a weight of the lid to the toilet bowl and further to transfer a weight applied on the seat to the plurality of load sensors.

Abstract: Systems, devices, and methods are disclosed herein for monitoring physiological data of subjects seated on a toilet, including systems, devices, and methods for monitoring light signals or readings on a toilet seat. In some embodiments, systems, devices, and methods disclosed herein include a set of sensors integrated into a seat (e.g., of a toilet), with the sensors being configured to measure multiple light signals associated with unique optical paths across a portion of tissue of an individual seated on the seat.

Abstract: Embodiments described herein relate to methods of recycling battery waste. In some aspects, a method can include applying a first heat treatment at a temperature of between about 100° C. and about 700° C. to the battery waste, the first heat treatment decomposing at least about 80 wt % of the binder, separating the electrode material from the current collector, and applying a second heat treatment at a temperature between about 400° C. and about 1,200° C. to the electrode material to produce a regenerated electrode material, the second heat treatment decomposing at least 90 wt % of binder remaining in the electrode material to produce a regenerated electrode material. In some embodiments, the method can include applying a surface treatment to the electrode material to remove surface coatings and/or surface impurities from the electrode material. In some embodiments, the surface treatment can include applying a solvent to the electrode material.

Abstract: Embodiments described herein relate to removal of aluminum impurities from battery waste. In some aspects, a method for removing aluminum impurities includes preprocessing a quantity of battery waste to improve removal of aluminum impurities from the quantity of battery waste. The method further includes removing at least a portion of the aluminum impurities from the quantity of battery waste, modifying the removed aluminum impurities to form a coating precursor and/or a doping precursor, and applying the coating precursor and/or the doping precursor to an electrode material. In some embodiments, the method further includes characterizing the aluminum impurities in the quantity of battery waste and regenerating the electrode material. In some embodiments, the removing can be via sieving, cyclone separation, air separation, elutriation, and/or dissolution. In some embodiments, the doping precursor can include aluminum hydroxide (Al(OH)3).

Abstract: Embodiments described herein relate to recycling of spent lithium battery material. In some aspects, a method can include suspending a lithium source in a solvent containing an oxidation reagent to extract lithium, forming an extracted lithium solution, separating the extracted lithium solution from residual solids of a lithium source, purifying the extracted lithium solution by precipitating and filtering impurities, and precipitating the lithium in the purified lithium solution to generate lithium carbonate (Li2CO3). In some embodiments, the method can further include preprocessing the lithium source to improve kinetics of the lithium extraction. In some embodiments, the preprocessing can include a cutting or shredding step to downsize the lithium source. In some embodiments, the lithium source can include lithium-ion battery waste.