Abstract: The present disclosure relates to a catalyst for ammonia decomposition, a manufacturing method therefor, and a method for producing hydrogen using the same. More particularly, the present disclosure relates to a catalyst for ammonia decomposition, a manufacturing method therefor, and a method for producing hydrogen using the same, in which by manufacturing a catalyst for decomposition of ammonia using a solvothermal synthesis method to which alcohol is applied, an ammonia conversion rate can be improved due to excellent catalytic activity in an ammonia decomposition reaction, and hydrogen can be efficiently produced from ammonia due to long-term stability even at a high temperature and for long periods of time.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from another electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise identifying, by a system operatively coupled to a processor, a subset of a plurality of battery cells of a vehicle system, wherein the subset of the plurality of battery cells is beyond a threshold for remediation, and initiating a charge, by the system, of the subset of the plurality of battery cells, wherein the charge comprises energy transfer at the subset of the plurality of battery cells such that the subset of the plurality of battery cells degrades towards end of life of the subset of the plurality of battery cells.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from a second electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise identifying, by a system operatively coupled to a processor, based on a comparison of a metric to a historical metric for vehicle performance, a current event that is defined by the metric as leading to degradation of a plurality of battery cells of a vehicle system, upon identifying the current event, determining, by the system, a subset of the plurality of battery cells that is beyond a threshold for remediation, and continuing to use, by the system, the subset such that the subset degrades towards end of life of the subset.

Abstract: The present invention relates to the field of biomedicine, and in particular to a use of goji glycopeptide in the preparation of a drug for preventing and/or treating amyotrophic lateral sclerosis. Experimental results prove the use of goji glycopeptide in the preparation of a drug for preventing and/or treating amyotrophic lateral sclerosis.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: This invention provides methods and systems for enhancement of protein production from mammalian cell lines in a drug inducible manner. The methods described herein can be used to generate a protein production cell line wherein the gene coding the protein product of interest is inserted into specific safe harbor loci (SHL) within the cell's genome and the gene copy number is induced to amplify by the use of an antibiotic inducer. The method enables for the conditional activation of the drug inducible transposase. The drug inducible gene amplification method described herein effectively functions as a molecular dial: combining drug-inducible homologous recombination and conditional gene activation to fine-tune gene amplification in mammalian systems.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from another electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise monitoring, by a system operatively coupled to a processor, cell states of a plurality of battery cells of a vehicle system, identifying, by the system, based on the cell states, a subset of the plurality of battery cells that is beyond a threshold for remediation, and continuing to use, by the system, the subset of the plurality of battery cells such that the subset of the plurality of battery cells degrades towards end of life of the subset of the plurality of battery cells.

Abstract: Vehicle battery health optimization and communication (e.g., using a computerized tool) are enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a battery health component that, using a defined battery health algorithm and a battery sensor, determines degradation of a battery of a vehicle, and a communication component that, based on the degradation of the battery and a traveling direction of a user of the vehicle, external to the vehicle, transmits a message representative of the degradation of the battery.

Abstract: Automated vehicle battery health optimization (e.g., using a computerized tool) is enabled. For example, a system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components comprise: a battery health component that, using a defined battery health algorithm and a battery sensor, determines degradation of a battery of a vehicle, and an execution component that, based on the degradation of the battery and a traveling direction of a user of the vehicle, external to the vehicle, facilitates an action determined to mitigate further degradation of the battery.

Abstract: The present invention relates to a sensor array comprising an inductive sensor (30, 31) and at least one temperature sensor (40, 41) for an electric machine, wherein the sensor array is arranged in a housing (10, 51, 52, 53, 54) and a single group of connectors (21) opens out of the housing (10, 20) in order to connect to an inverter of the electric machine.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: The invention relates to a method for rearing animals and in particular poultry or pigs that comprises supplying the animals with drinking water in order to water the animals, injecting oxygen and CO2 into the drinking water, before the drinking water reaches the animals, according to one of the following modes: two injections, one of CO2 and one of oxygen, are carried out simultaneously into the drinking water, or one injection, a mixture of oxygen and CO2, is carried out into the drinking water.

Abstract: An electronic device such as a wristwatch may be provided with conductive structures. The conductive structures may include a sensor electrode for an electrocardiogram (ECG) sensor. A coating may be disposed on the sensor electrode to reflect particular wavelengths of visible light so that the sensor electrode exhibits a desired color. The coating may include adhesion and transition layers on the sensor electrode, an opaque coloring layer on the adhesion and transition layers, and a thin-film interference filter on the opaque coloring layer. The thin-film interference filter may have an uppermost diamond-like carbon (DLC) layer. The DLC layer may contribute to the color response of the coating while concurrently minimizing noise in ECG waveforms gathered by the ECG sensor using the sensor electrode.

Abstract: The use of CASD1 as a biomarker of a cancer expressing the O-acetylated-GD2 ganglioside. Also, a method of diagnosing a cancer expressing the O-acetylated-GD2 ganglioside, a method of selecting a subject suffering from a cancer expressing the O-acetylated-GD2 ganglioside for treatment targeting the cancer, or a method of monitoring the response of a subject suffering from a cancer expressing the O-acetylated-GD2 ganglioside to a treatment targeting the cancer.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: Various embodiments and approaches are described to minimize degradation of respective modules combined to form a battery pack onboard an electric vehicle (EV). Systems and components are presented to determine a respective operational state of the modules, and based thereon, a first subset of modules can be selected to provision power to various EV components while a second subset of modules can be deselected. Module selection can be based upon a threshold operating condition. A visual representation of the modules and their respective operational state can be presented, in conjunction with one or more alarms and recommended corrective operations. Artificial intelligence methods can be utilized to determine an operational state of a module(s). A module can be scheduled for replacement. Limiting degradation to a first module can minimize degradation of a second module. The various components can be stored in a memory and executed by a processor.

Abstract: The present invention discloses a DFT (Design for test) methodology to integrate synchronous double-clock latches to synchronize data transferring between two asynchronous clock domains, where the conventional lockup-latches (asynchronous latches) are automatically inserted to connect/combine the two independent asynchronous DFT chains for a more compacted solution. If the asynchronous latches are replaced by the synchronous double-clock ones, the static timing analysis (STA) will check both ends of the latches, therefore, the full combined chain is safe from the setup-hold issues. This method utilizes the automatic flow of asynchronous latches insertion to connect independent DFT chains. Then these conventional latches are replaced by synchronous ones. Both the synthesis, the physical implementation flows in the DFT design and the automatic-test pattern generation (ATPG) scheme have been modified to match these replacements.