Abstract: An example of an apparatus to transport utility-scale lithium-ion batteries in a racked and operational state. The apparatus includes a base and an isolation platform. In addition, the apparatus includes an isolator mounted on the base to support the isolation platform. The isolator is to dampen forces exerted on the isolation platform from the base. Furthermore, the apparatus includes a rack mounted onto the isolation platform. The rack is to secure a plurality of lithium-ion batteries to store energy at a utility-scale to be provided to a power distribution network. The plurality of lithium-ion batteries is racked in an operational state during transportation.

Abstract: A system for landing a perforating gun in a particular orientation may include a landing housing securable within a wellbore and having at least one key slot extending into an inner surface of the landing housing. The system further includes a latch assembly configured to couple to the landing housing in a particular orientation. The latch assembly includes a tubular support structure and at least one key feature configured to extend and retract radially through a sidewall of the tubular support structure. The latch assembly further includes a biasing mechanism configured to bias the at least one key feature into the at least one key slot to couple the latch assembly to the landing housing. Additionally, the system includes a perforating gun system secured to the latch assembly such that the orientation of the latch assembly aims the perforating gun system in the wellbore.

Abstract: In one embodiment, a method includes transmitting pulse power on two wire pairs, the pulse power comprising a plurality of high voltage pulses with the high voltage pulses on the wire pairs offset between the wire pairs to provide continuous power, performing low voltage fault detection on each of the wire pairs between the high voltage pulses, and transmitting data on at least one of the wire pairs during transmittal of the high voltage pulses. Data transmittal is suspended during the low voltage fault detection.

Abstract: A pipe support may include a body. The body may include a first side. The first side may include a channel defined along a length of the body. The body may further include a second side opposite the first side. The second side may include a first planar surface. The body may further include a third side. The third side may include a concave surface defined along the length of the body. The body may further include a fourth side opposite the third side. The fourth side may include a second planar surface.

Abstract: Presented herein are techniques for power fault management that operates without power-source-side switching. A power transmitter is configured to provide power to a current loop, and a power receiver is configured to receive the power from the current loop. The power receiver is configured to, on a periodic basis, disconnect from the current loop to stop pulling power from current loop for a period of time to enable a safety check to be performed by the power transmitter. The power transmitter is configured to monitor current on the current loop, determine whether the current level on the current loop passes the safety check within a predetermined time interval since a determination that the current level was not within a safe range, and control connectivity of the power to the current loop based on whether the safety check has or has not passed within the predetermined time interval.

Abstract: Systems and methods for preventing machine learning models from negatively affecting mobile devices are provided. For example, a mobile device including a camera, memory devices, and one or more processors are provided. In some embodiments, the processors may be configured to provide images captured by the camera to a machine learning model at a first rate. The processors may also be configured to determine whether one or more of the images includes an object. If one or more of the images includes the object, the processors may be further configured to adjust the first rate of providing the images to the machine learning model to a second rate, and in some embodiments, determine whether to adjust the second rate of providing the images to the machine learning model to a third rate based on output received from the machine learning model.

Abstract: In one aspect, an electronic gaming system is provided. The electronic gaming system may cause to be displayed on a display device a game interface including a matrix having a plurality of symbol positions for displaying a symbol within each symbol position, generate, based on an RNG call outcome, an optimal game outcome, programmatically select a suboptimal game outcome based on the generated optimal game outcome, display at least a portion of the suboptimal game outcome in the matrix, cause to be displayed a prompt to select from a plurality of user options to modify at least one symbol of the at least a portion of the suboptimal game outcome displayed in the matrix, modify, based on a selection received from a user of one of the plurality of user options, the symbols displayed in the matrix, and determine if the optimal game outcome is displayed.

Abstract: An association metric for record attributes associated with cardinalities that are not necessarily the same is used for training and/or applying an entity resolution (ER) model. A pair of records includes (a) a first record indicating a first set of values for a first attribute and (b) a second record indicating a second set of values for a second attribute. Each of the first set of values and each of the second set of values are compared to determine individual association metrics. A first-level reduction operation is applied to subsets of the individual association metrics to determine reduced association metrics. A second-level reduction operation is applied to the reduced association metrics to determine an association metric, for the pair of records, for training and/or applying an ER model.

Abstract: A system is provided that includes a power transmitter configured to provide power to a current loop, a power receiver configured to receive the power from the current loop. The power receiver is configured to, on a periodic basis, disconnect from the current loop to stop pulling power from the current loop for a period of time to enable a safety check to be performed by the power transmitter. The power transmitter is configured to: monitor current on the current loop; determine whether a current level on the current loop passes the safety check within a predetermined time interval since a determination that the current level was not within a safe range; and control connectivity of the power to the current loop depending on whether the safety check has or has not passed within the predetermined time interval.

Abstract: The present disclosure relates to systems and methods for generating real-time quotes using machine learning algorithms. The system may include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device, extracting one or more features from the image, based on the extracted features and using a machine learning algorithm, identifying one or more attributes of the vehicle, based on the identified attributes of the vehicle, determining a make and a model of the vehicle, obtaining comparison information based at least in part on the determined make and model, estimating a quote for the vehicle based on the comparison information; and transmitting the estimated quote for display on the client device.

Abstract: Materials and methods for preparing nucleic acid libraries for next-generation sequencing are described herein. A variety of approaches are described relating to the use of unique molecular identifiers with transposon-based technology in the preparation of sequencing libraries. Also described herein are sequencing materials and methods for identifying and correcting amplification and sequencing errors.

Abstract: Embodiments provided herein relate to methods and compositions for preparing an immobilized library of barcoded DNA fragments of a target nucleic acid, identifying genomic variants, determining the contiguity information, phasing information, and methylation status of the target nucleic acid.

Abstract: Systems and methods for presenting an augmented reality view are disclosed. Embodiments include a system with a database for personalizing an augmented reality view of a physical environment using at least one of a location of a physical environment or a location of a user. The system may further include a hardware device in communication with the database, the hardware device including a renderer configured to render the augmented reality view for display and a controller configured to determine a scope of the augmented reality view authenticating the augmented reality view. The hardware device may include a processor configured to receive the augmented reality view of the physical environment, and present, via a display, augmented reality content to the user while the user is present in the physical environment, based on the determined scope of the augmented reality view.

Abstract: Systems and methods for preventing machine learning models from negatively affecting mobile devices are provided. For example, a mobile device including a camera, memory devices, and one or more processors are provided. In some embodiments, the processors may be configured to provide images captured by the camera to a machine learning model at a first rate. The processors may also be configured to determine whether one or more of the images includes an object. If one or more of the images includes the object, the processors may be further configured to adjust the first rate of providing the images to the machine learning model to a second rate, and in some embodiments, determine whether to adjust the second rate of providing the images to the machine learning model to a third rate based on output received from the machine learning model.

Abstract: A system for growing vegetation that includes a plurality of zones, each zone having environmental conditions that vary from environmental conditions in other zones, at least one zone sensor measuring environmental conditions in each zone, a local database operative to store sensor measurements from the zone sensors, a remote database operative to receive and to store a subset of the sensor measurements stored in the local database, and a remote computing device operatively connected to the remote database. The remote computing device operative to receive information regarding movements of batches of vegetation through the plurality of zones and, using the received information, associate sensor measurements of the environmental conditions the batch of vegetation is subjected to as it move through the zones. A timeline for a batch of vegetation can be created that indicates the environmental conditions the vegetation is subjected to moving through the zones.

Abstract: A system and method is disclosed for improving fraud detection in the context of a user submitting, via a client device, a photo of a photo ID and a selfie taken during a step of the verification process. A machine learning model may be trained to generate biometric data signals from the selfie. As examples, the biometric data signals generated from the selfie can include an estimated age, gender, hair color, and eye color. The biometric data generated from the selfie may be compared with biometric data listed on the photo ID as an aid to identifying potential identity fraud. In some implementations, a facial filter corresponding to a map of a set of facial measurements of the photo in the photo ID may be compared with the facial measurements of the selfie.

Abstract: The disclosure relates to compounds of Formula I, methods of making same, pharmaceutical compositions including same, and methods of treating pain and neurological disorders using same: wherein R1 is hydrogen, halogen, hydroxy, substituted or unsubstituted alkyl, substituted or unsubstituted alkoxy, aryl, nitro, or cyano; wherein R2 and R3 are independently hydrogen, halogen, aryl, or substituted or unsubstituted alkyl, or wherein R2 and R3 are connected to form an alkyl chain; wherein R4 is a substituted or unsubstituted aryl or heteroaryl group having from 5 to 10 members; wherein X is O, S, N, NH, CH, CH2, or CO; wherein n is from 0 to 10; and wherein the bond indicated by * is a double bond or a single bond based on a valence of X. The compounds selectively bind to CB2, can penetrate the blood brain barrier, and have a half-life of 20 hours or greater.

Abstract: A catheter comprising an elongated member having a distal end and a proximal end. The proximal end defines a drainage inlet extending from an external wall of the elongated member into the elongated member. The elongated member defines a first lumen that connects the drainage inlet with a drainage outlet defined by the distal end. The catheter also includes an inflatable retention balloon defined by the external wall of the elongated member and located between the drainage inlet and the drainage outlet. The catheter further includes a fluid inlet valve that protrudes from the elongated member and defines a second lumen that extends from the fluid inlet valve through the elongated member and to the inflatable retention balloon. The catheter additionally includes a secondary balloon that protrudes from the elongated member, the elongated member defining a third lumen that extends from the inflatable retention balloon to the secondary balloon.

Abstract: An image error identification system retrieves an image associated with a vehicle listing and uses various machine learning models to classify the image and generate identification data that may include a vehicle make, model, trim level, and/or various features of the vehicle present in the image. The identification data is compared to the rest of the vehicle listing to detect a mismatch between the image and the vehicle listing. An alert is generated, when a mismatch is detected, indicating the one of the image or the data in the vehicle listing is incorrect.