Abstract: An exemplary computer-implemented method for administering one or more treatments to a plant in a greenhouse comprises: receiving data associated with the plant; providing the received data to a trained machine-learning prediction model to obtain: a first set of health predictions of the plant corresponding to a present time; and a second set of health predictions of the plant corresponding to a future time; determining whether the plant is unhealthy or lagging a growth trajectory based on: a first comparison based on the first set of health predictions and observed health of the plant at the present time, and a second comparison based on the second set of health predictions and a future production goal of the plant; if the plant is unhealthy or lagging the growth trajectory, identifying the treatments for the plant; and controlling one or more robots in the greenhouse to administer the treatments.

Abstract: Techniques are described relating to data distribution and security in a multilayer storage infrastructure. An associated computer-implemented method includes receiving file data associated with a user for storage in a managed services domain, applying an ensemble learning model to devise a data distribution technique for the file data based upon contextual information associated with the user, and encrypting the file data. The method further includes, based upon the data distribution technique, dividing the file data to store among a cloud computing layer, a fog computing layer, and a local computing layer by performing a hash transformation and applying at least one cyclic error correcting code. In an embodiment, the method further includes receiving a data access request associated with the file data, authenticating the data access request, and restoring the file data via decryption.

Abstract: Disclosed herein are technologies (including computing systems) for data processing and enhancement as well as for user engagement with the enhanced and processed data. In some embodiments, the technologies include processes for maintaining anonymity. And, in some examples, the data is structured in a hypergraph system. In some examples, a method includes generating, by a computing system, an anonymous user profile for engaging anonymously with user interfaces provided by the computing system. The generating of the anonymous user profile includes retrieving, by the computing system, detailed user profile information associated with an anonymous individual user. The method also includes associating, by the computing system, the user profile information with non-personally identifiable information.

Abstract: The present invention relates to a method for determining a proportion of defective battery cells in a group of battery cells connected electrically in parallel in a battery, where a voltage state of a terminal voltage of the group is determined in relation to a charging process and/or in relation to a relaxation of the battery under an environmental condition and a deviation of the determined voltage state of the terminal voltage from the voltage state of the terminal voltage of the same group from a previous charging process and/or a previous relaxation under the same environmental condition is calculated, where the proportion of defective battery cells in the group is determined from the calculated deviation.

Abstract: This invention provides a system for separating a field of view (FOV) of a scene imaged by a vision system camera assembly, in which a separating mirror assembly redirects a first optical path of at least a first optics with respect to at least a first image sensor in the camera assembly. A first reflecting assembly redirects the first optical path from the separating mirror toward a first FOV. The first optical path is extended free of splitting the image. The separating mirror assembly redirects a second optical path of a second optics with respect to a second image sensor in the camera assembly. A second reflecting assembly redirects the second optical path from the separating mirror toward a second FOV. The second optical path is extended free of splitting the image projected from the scene on the second image sensor.

Abstract: A vehicle comprises a frame having a drive system with a controller operably connected to the drive system. It also has a compartment having a driver position for a driver and a passenger position for a passenger, with a plurality of vehicle control inputs at the driver position connected to the controller and an interface device configured for communication with the driver. The controller is operable to engage in a training protocol in which the driver is granted progressively increasing control over the vehicle based on driver performance.

Abstract: The present disclosure relates to a process for the preparation of ethyl tert-butyl ether comprising: (a) reacting ethanol with a mixture of C4 hydrocarbon feed in the presence of a catalyst to obtain a mixture; and (b) contacting the mixture with an entrainer at a temperature in the range of 40-70° C. and a pressure in the range of 15-30 bars to obtain ethyl tert-butyl ether, wherein, the mixture of C4 hydrocarbon feed comprises isobutylene, and the ethanol to isobutylene mole ratio is in the range of 1:1 to 2:1. The present disclosure also discloses a process of separating ethanol and ethyl tert-butyl ether. Further, the present disclosure discloses a composition comprising ethyl tert-butyl ether with a purity in the range of 91%-93%.

Abstract: An exemplary computer-implemented method for administering one or more treatments to a plant in a greenhouse comprises: receiving data associated with the plant; providing the received data to a trained machine-learning prediction model to obtain: a first set of health predictions of the plant corresponding to a present time; and a second set of health predictions of the plant corresponding to a future time; determining whether the plant is unhealthy or lagging a growth trajectory based on: a first comparison based on the first set of health predictions and observed health of the plant at the present time, and a second comparison based on the second set of health predictions and a future production goal of the plant; if the plant is unhealthy or lagging the growth trajectory, identifying the treatments for the plant; and controlling one or more robots in the greenhouse to administer the treatments.

Abstract: A motor vehicle for operation by a driver has a frame with wheels and a motor connected to the frame. A steering control is connected to the wheels to establish a steering angle. A controller is operably connected to the steering control, to the motor, and to the wheels, and is operable to selectably drive the wheels in a forward direction in a drive mode and in a rearward direction in a reverse mode. The controller is operable to select a direction for driving the wheels in response to a pattern of steering angle movements, without operator indication of a direction.

Abstract: In some implementations, a computing device determines an event timeline that comprises one or more finance-related events associated with a person. A production classifier may be used to determine (i) an individual contribution of each event in the event timeline to a financial capacity of the person and (ii) a first decision regarding whether to extend credit to the person. A bias monitoring classifier may, based on the event timeline, determine a second decision whether to extend credit to the person. The bias monitoring classifier may be trained using pseudo-unbiased data. If a difference between the first decision and the second decision satisfies a threshold, the production classifier may be modified to reduce bias in decisions made by the production classifier.

Abstract: In some implementations, an event timeline that includes one or more interactions between a customer and a supplier may be determined. A starting value may be assigned to individual events in the event timeline. A sub-sequence comprising a portion of the event timeline that includes at least one reference event may be selected. A classifier may be used to determine a previous relative value for a previous event that occurred before the reference event and to determine a next relative value for a next event that occurred after the reference event until all events in the event timeline have been processed. The events in the event timeline may be traversed and a monetized value index assigned to individual events in the event timeline.

Abstract: A horizontal plate freezer (1) for freezing articles inside said horizontal freezer during a freezing process comprising: a plurality of freezer plates (2) forming a stack of freezer plates, where said plurality of freezer plates are arranged substantially horizontal, defining a distance between the freezer plates, where in use articles to be frozen are arranged on one or more freezer plates, where said in stack of freezer plates are arranged between a top frame (3) and a bottom frame (4), where said top frame is arranged at a horizontal level above the stack of freezer plates, and said bottom frame is arranged at a horizontal level underneath the stack of freezer plates, at least one intervention unit (8) with at least one engaging device (10), where the engaging device is arranged moveable in a longitudinal direction along said intervention unit(s), whereby the engaging device is lifted and lowered along said stack of freezer plates, at least one device (6) comprising a first end positioned above a topmost

Abstract: The present disclosure pertains to the technical field of a catalyst. The present disclosure relates to a complexing agent for preparing titanium complexes for alpha olefin polymerization. In particular, the present disclosure provides titanium complexes for alpha olefin polymerization and methods of preparation thereof.

Abstract: In a transportation security technique, images are stored that are received from image capturing equipment deployed at respective screening nodes. The images are analyzed using a machine learning model, where presence of a particular object in an image indicates that a threat condition exists at the screening node. The analyzed images are transmitted to threat assessment components in accordance with predetermined criteria. An indication that the particular object is observed in the image is received from the threat assessment components. An indication that the particular object is observed in the image is transmitted to the screening node responsive to receiving the indication that the particular object is observed in the image. An indication of whether the particular object is present at the screening node is received. The machine learning model is trained based on the received indication of whether the particular object is observed in the image.

Abstract: A set of images is received. A thermal anomaly is detected in the received set of images. The detected thermal anomaly is classified. Examples of classifications of thermal anomalies include: stationary targets, gas flares, agricultural anomalies, and wildfires. An action is taken based at least in part on the classified detected anomaly.

Abstract: Provided herein are portable biocontainment devices for safe and reliable collection of biological samples, including liquid and gas samples. A sample inlet for collecting fluids and/or gases, including oral fluids and expired breath samples, is connected to a container having a climate-controlled container reservoir. One or more sample containers are connected to the sample inlet for collection of samples. The devices are configured for safe transport and handling of samples, while maintaining sample viability, including for relatively long transport periods. Safety components integrated within the device facilitates safe and effective decontamination of contagious samples. In this manner, aborting the sample preservation by decontamination prior to a hazardous release is achieved within the same apparatus.

Abstract: The present disclosure provides a process for preparing a reforming catalyst, said process comprising: (a) impregnating at least one support with at least one promoter metal and at least one active metallic component to obtain a second catalytic precursor; (b) contacting the second catalytic precursor with at least one non-metallic component to obtain a third catalytic precursor; (c) coating the third catalytic precursor with at least one silanizing agent to obtain a coated third catalytic precursor; and (d) drying the coated third catalytic precursor to obtain a dried third catalytic precursor followed by calcination of the dried third catalytic precursor to obtain the reforming catalyst. The present disclosure also provides a reforming catalyst and the process for catalytically reforming a hydrocarbon feed stream by using the reforming catalyst.