Abstract: The disclosure is directed to an apparatus and method for recovering ethanol from a fermentation broth. The fermentation broth comprises microbial biomass, ethanol, methanol, ethyl acetate, at least one thiol, and at least one compound having 3 or more carbon atoms. The method comprises separating at least microbial biomass from the fermentation broth to generate a process stream; removing, in any order, from the process stream: ethyl acetate by reacting ethyl acetate with a base compound followed by distillation; at least one thiol by adsorption or reaction to disulfide; methanol by distillation; compounds having 3 or more carbon atoms by distillation; and recovering ethanol by distillation; wherein the distillations may be conducted in a single column or two or more columns.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for training a universal sensor model based on a combined dataset provided by sensor devices of a common device class. Once trained, the universal sensor model may be deployed for providing recommendations based on for performing object detection on datasets received from different types of sensor devices of the common device class. Embodiments include determining whether to generate the combined dataset from different datasets from sensor devices of the common device class and determining when the sensor model will perform better using the combined dataset from sensor device rather than a single dataset from a single sensor device. In some embodiments, the datasets are image datasets comprising image data provided by the sensor devices.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for training a universal sensor model based on a combined dataset provided by sensor devices of a common device class. Once trained, the universal sensor model may be deployed for providing recommendations based on performing object detection on datasets received from different types of sensor devices of the common device class. Embodiments include determining whether to generate the combined dataset from different datasets from sensor devices of the common device class and determining when the sensor model will perform better using the combined dataset from sensor device rather than a single dataset from a single sensor device. In some embodiments, the datasets are image datasets comprising image data provided by the sensor devices.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for training a universal sensor model based on a combined dataset provided by sensor devices of a common device class. Once trained, the universal sensor model may be deployed for providing recommendations based on performing object detection on datasets received from different types of sensor devices of the common device class. Embodiments include determining whether to generate the combined dataset from different datasets from sensor devices of the common device class and determining when the sensor model will perform better using the combined dataset from sensor device rather than a single dataset from a single sensor device. In some embodiments, the datasets are image datasets comprising image data provided by the sensor devices.

Abstract: A core assembly for a plate-and-fin heat exchanger includes a pair of core plates and a heat-absorbing member disposed within the passageway that secures the pair of core plates together. The heat-absorbing member defines a plurality of fins that each include one or more bending points, and each bending point creates two points of contact between a core plate and the heat-absorbing member.

Abstract: A system for digital rights management including a processor in a platform and a memory device comprising instructions that when executed configure the processor to perform operations. The operations may include determining whether a digital media is locally installed in a platform before initiating an operating system, and launching a first UEFI application configured to generate attestation data and communicate attestation based data to a server through an encrypted medium in response to determining the digital media is not installed. The operations may also include receive a binary file of the digital media and a first decryption key and performing a sealing of the binary file using a sealing enclave of the first UEFI application and generating a local decryption second key based on the first key and local entropy. The operations may also include installing the sealed binary file on local storage.

Abstract: A core assembly for a plate-and-fin heat exchanger includes a pair of core plates and a heat-absorbing member disposed within the passageway that secures the pair of core plates together. The heat-absorbing member defines a plurality of fins that each include one or more bending points, and each bending point creates two points of contact between a core plate and the heat-absorbing member.

Abstract: The disclosure is directed to an apparatus and method for recovering ethanol from a fermentation broth. The fermentation broth comprises microbial biomass, ethanol, methanol, ethyl acetate, at least one thiol, and at least one compound having 3 or more carbon atoms. The method comprises separating at least microbial biomass from the fermentation broth to generate a process stream; removing, in any order, from the process stream: ethyl acetate by reacting ethyl acetate with a base compound followed by distillation; at least one thiol by adsorption or reaction to disulfide; methanol by distillation; compounds having 3 or more carbon atoms by distillation; and recovering ethanol by distillation; wherein the distillations may be conducted in a single column or two or more columns.

Abstract: Films (ODFs) that include botanical extract are provided, as well as methods of making and using the same.

Abstract: Techniques for parking space light are provided. A parking space light can identify, via one or more instruments of the parking space light, a set of parking spaces in a defined region of a parking structure in which the parking space light is installed, monitor, via the one or more instruments, the set of parking spaces, and determine respective occupied statuses of parking spaces of the set of parking spaces, wherein the respective occupied statuses indicate whether the parking spaces are occupied or unoccupied.

Abstract: Techniques for creating, configuring, and employing diffusion light devices are presented. Such light device(s) can comprise or be associated with a light management component (LMC) that can employ sensors to monitor environmental conditions in a defined area of people or vehicles, and a diffusion component that can diffuse or otherwise process light. At a least a portion of the diffusion component and/or a light component can be formed of a fabric that can emit light and/or diffuse light. LMC can enhance function of the light device to manage diffusion of light or perform other tasks to enhance user experience and safety and security of people or vehicles. Based on results of analyzing sensor data relating to the conditions, LMC can determine and facilitate implementing an adjustment(s) to a parameter(s) of the diffusion component or light component to achieve desired emission or diffusion of light.

Abstract: A method, computer system, and a computer program product for data pipeline prioritization is provided. Embodiments may include receiving, by a cognitive rules engine, one or more data pipelines. Embodiments may then include analyzing, using a computational method of the cognitive rules engine, the one or more data pipelines. Embodiments may lastly include prioritizing the one or more data pipelines based on a result of the computational method of the cognitive rules engine.

Abstract: The disclosure is directed to an apparatus and method for recovering ethanol from a fermentation broth. The fermentation broth comprises microbial biomass, ethanol, methanol, ethyl acetate, at least one thiol, and at least one compound having 3 or more carbon atoms. The method comprises separating at least microbial biomass from the fermentation broth to generate a process stream; removing, in any order, from the process stream: ethyl acetate by reacting ethyl acetate with a base compound followed by distillation; at least one thiol by adsorption or reaction to disulfide; methanol by distillation; compounds having 3 or more carbon atoms by distillation; and recovering ethanol by distillation; wherein the distillations may be conducted in a single column or two or more columns.

Abstract: The present invention relates to a specialized laparoscopic device and method used for attachment of instrument heads to thin shafts in the abdomen of a patient. The device allows quick attachment of oversized instrument heads minimizing the scaring and recovery time of the patient. A specialized instrument head having a tether and a grabbing device are used to perform this process.

Abstract: Films (ODFs) that include botanical extract are provided, as well as methods of making and using the same.

Abstract: Techniques for creating, configuring, and employing diffusion light devices are presented. Such light device(s) can comprise or be associated with a light management component (LMC) that can employ sensors to monitor environmental conditions in a defined area of people or vehicles, and a diffusion component that can diffuse or otherwise process light. At a least a portion of the diffusion component and/or a light component can be formed of a fabric that can emit light and/or diffuse light. LMC can enhance function of the light device to manage diffusion of light or perform other tasks to enhance user experience and safety and security of people or vehicles. Based on results of analyzing sensor data relating to the conditions, LMC can determine and facilitate implementing an adjustment(s) to a parameter(s) of the diffusion component or light component to achieve desired emission or diffusion of light.

Abstract: Systems and methods are disclosed for predicting a remaining useful life of a component. One method comprises receiving, by a component prediction system, one or more component data sets associated with one or more components of a moving object. Based on the received one or more component data sets, environmental and operational conditions experienced over a lifetime of each failed component may be identified and summarized. Then, the effects of the environmental and operational conditions on a lifetime of a component of interest may be determined by training an accelerated failure time model using the summarized environmental and operational conditions. Using the trained accelerated failure time model, a remaining useful life of the component of interest may be determined.

Abstract: Techniques for horticulture light are provided. A horticulture light can monitor at least one characteristic of a defined region in which at least one plant is planted in a horticulture environment in which horticulture light bulb is installed, determine at least one action for the horticulture light bulb to perform based on a state of the at least one characteristic and at least one objective of the installation of the horticulture light bulb in the horticulture environment, and execute the at least one action.

Abstract: A fluid monitoring system has a plurality of sensors, the sensors being acoustically coupled to a pipe system containing interconnected fluid-transporting pipes. The sensors collect sensor data that is analyzed by an analysis system to provide leak identification on the pipe system. Each sensor in the plurality of sensors is configured to be programmed adaptively by the analysis system to improve system performance parameters. A method for analyzing fluid flow is also described in which data from a plurality of acoustic sensing devices is analyzed using learning algorithms.