Abstract: A fuel cell includes a plurality of unit cells disposed in a stack. Each unit cell includes a membrane electrode assembly (MEA) having an anode and a cathode and a bipolar plate having a cathode side defining a recessed pocket in fluid communication with an air port, an anode side, and coolant channels between the cathode and anode sides. The bipolar plate is disposed against the MEA such that the cathode is disposed over the pocket. A flow guide is disposed in the pocket with a front side facing the MEA and a back side facing a bottom of the pocket. The flow guide has a plurality of embossments.

Abstract: The present disclosure is directed to determining geographic orientation based at least in part on imagery. In particular, the methods and systems of the present disclosure can: receive data generated by a camera and representing imagery that includes at least a portion of a physical real-world environment comprising the camera and a travelway; and determine, based at least in part on the data and a machine-learning model, a geographic orientation of the camera with respect to the travelway.

Abstract: In various examples, a deep neural network (DNN) is trained to accurately predict, in deployment, distances to objects and obstacles using image data alone. The DNN may be trained with ground truth data that is generated and encoded using sensor data from any number of depth predicting sensors, such as, without limitation, RADAR sensors, LIDAR sensors, and/or SONAR sensors. Camera adaptation algorithms may be used in various embodiments to adapt the DNN for use with image data generated by cameras with varying parameters—such as varying fields of view. In some examples, a post-processing safety bounds operation may be executed on the predictions of the DNN to ensure that the predictions fall within a safety-permissible range.

Abstract: To automate time series forecasting machine learning pipeline generation, a data allocation size of time series data may be determined based on one or more characteristics of a time series data set. The time series data may be allocated for use by candidate machine learning pipelines based on the data allocation size. Features for the time series data may be determined and cached by the candidate machine learning pipelines. Predictions of each of the candidate machine learning pipelines using at least the one or more features may be evaluated. A ranked list of machine learning pipelines may be automatically generated from the candidate machine learning pipelines for time series forecasting based upon evaluating predictions of each of the one or more candidate machine learning pipelines.

Abstract: Techniques for improving computing device operations are provided. A system can include an organizational database that stores a centralized set of organizational data having a plurality of device objects and a plurality of employee objects. The system can receive a notification associated with the first employee object. Additionally, the system can determine, using the organizational database, that the first device object is associated with the first employee. Moreover, the system can access a device policy for the first device object. Furthermore, the system can evaluate the device policy based at least in part on data associated with the first employee object and the notification. The evaluation of the device policy includes running a query expression against the centralized set of organizational data to return a query result. Subsequently, the system can execute an action based on the query result. The action can be associated with the first computing device.

Abstract: A ceramic waveguide includes: a doped metal oxide ceramic core layer; and at least one cladding layer comprising the metal oxide surrounding the core layer, such that the core layer includes an erbium dopant and at least one rare earth metal dopant being: lanthanum, cerium, praseodymium, neodymium, promethium, samarium, europium, gadolinium, terbium, dysprosium, holmium, thulium, ytterbium, lutetium, scandium, or oxides thereof, or at least one non-rare earth metal dopant comprising zirconium or oxides thereof. Also included is a quantum memory including: at least one doped polycrystalline ceramic optical device with the ceramic waveguide and a method of fabricating the ceramic waveguide.

Abstract: An inhaler may include a housing that comprises a mouthpiece, a medication canister, and an airflow channel formed between an air inlet and the mouthpiece. The inhaler may also include a pressure sensor configured to measure pressure (e.g., or alternatively, an acoustic sensor to measure acoustic sound waves). The pressure sensor may be attached to the medicament canister of the inhaler. The pressure sensor may be configured to be in a first position relative to the airflow channel when the medication canister is not actuated, and in a second position relative to the airflow channel when the medication canister is in an actuated position. The inhaler may also include a processor that is configured to receive pressure measurements from the pressure sensor, and detect whether an inhalation occurs prior the medication canister being depressed to release medication based on the pressure measurements (e.g., only the pressure measurements).

Abstract: An exemplary system according to the present disclosure comprises a computing device that in operation, causes the system to receive financial product or financial portfolio data, map the financial product to a risk factor, execute a risk factor simulation process involving the risk factor, generate product profit and loss values for the financial product or portfolio profit and loss values for the financial portfolio based on the risk factor simulation process, and determine an initial margin for the financial product. The risk factor simulation process can be a filtered historical simulation process.

Abstract: An exemplary system according to the present disclosure comprises a computing device that in operation, causes the system to receive financial product or financial portfolio data, map the financial product to a risk factor, execute a risk factor simulation process involving the risk factor, generate product profit and loss values for the financial product or portfolio profit and loss values for the financial portfolio based on the risk factor simulation process, and determine an initial margin for the financial product. The risk factor simulation process can be a filtered historical simulation process.

Abstract: When a loan payment failure occurs, a loan server can retry a payment from a client's financial institution sources rather than immediately charging the client for the payment failure. The payment retry is scheduled on a Friday that is at least three days after the payment failure. If a payment failure from the financial institution sources to the loan server occurs between a Friday and the following Monday the payment retry by the loan server to the financial institution sources will occur on the first following Friday and if the payment failure occurs on Tuesday, Wednesday or Thursday, the payment retry will occur on the second following Friday which is the Friday of the following week from the failure date.

Abstract: A method of using a catheter assembly for inserting in a fluid filled space in a body includes providing a main body having a first end portion and a second end portion. The first end portion is positioned within the fluid filled space. The second end portion is adjusted to extend outwardly from the fluid filled space when the first end portion is positioned within the fluid filled space. A catheter tip is connected to the second end portion of the main body. The catheter tip includes a housing having a cavity defined therein and a rotating element positioned within the fluid filled space. The rotating element is rotated within the cavity of the housing to impart movement of the first end portion of the main body within the fluid filled space.

Abstract: This disclosure provides recombinant DNA constructs and transgenic plants having enhanced traits such as increased yield, increased nitrogen use efficiency, and enhanced drought tolerance or water use efficiency. Transgenic plants may include field crops as well as plant propagules and progeny of such transgenic plants. Methods of making and using such transgenic plants are also provided. This disclosure also provides methods of producing seed from such transgenic plants, growing such seed, and selecting progeny plants with enhanced traits. Also disclosed are transgenic plants with altered phenotypes which are useful for screening and selecting transgenic events for the desired enhanced trait.

Abstract: Techniques are disclosed for allowing remote participation in collaborative video review based on joint state data, for a video collaboration session, maintained by a video collaboration service. A user at a participant client device may provide one or more annotations, such as a drawing annotation, for the video data via a client application. The client application transmits computer-readable instructions for re-creating the drawing annotation to the service, which distributes the drawing instructions to the other participant client devices. Using the drawing instructions, the client applications at the client devices are configured to re-create the drawing annotation on the associated video frame displayed at the client devices. The joint state data communicated to client devices for a given session may include co-presence data that efficiently increases communication among the participants in a session.

Abstract: A method, comprising: with a cutting graph corresponding to a two-dimensional (2-D) representation of a polyhedral mesh that is representative of the 3-D target object, forming i sheets in conformity with the cutting graph, i being from 1 to n, an i-th 2-D sheet having an i-th set of cuts formed therein, an (i+1)-th 2-D sheet having a (i+1)-th set of cuts formed therein, the (i+1)-th set of cuts optionally differing from the i-th set of cuts. A 3-D composite object having a surface, the 3-D composite object comprising: i stacked and consolidated sheets, i being from 1 to n, an i-th sheet having an i-th set of cuts formed therein, an (i+1)-th sheet having a (i+1)-th set of cuts formed therein, the (i+1)-th set of cuts optionally differing from the i-th set of cuts.

Abstract: Examples described herein relate to offload reliable transport management to a network interface device and store packets to be resent, based on received packet receipt acknowledgements (ACKs), into one or more kernel space queues that are also accessible in user space.

Abstract: The present concepts include a neuroergonomic service that processes multimodal physiological, digital, and/or environmental inputs from a user and predicts cognitive states of the user. Thus, the neuroergonomic service provides personalized feedback to the user about her current mental and physiological wellbeing to enable modulation of mood, stress, attention, and other cognitive measures for improved productivity and satisfaction. The neuroergonomic service utilizes machine learning models that are trained offline using sensor inputs taken from participants in a controlled environment that purposefully induce an array of cognitive states upon the participants.

Abstract: An exemplary system according to the present disclosure comprises a computing device that in operation, causes the system to receive financial product or financial portfolio data, map the financial product to a risk factor, execute a risk factor simulation process involving the risk factor, generate product profit and loss values for the financial product or portfolio profit and loss values for the financial portfolio based on the risk factor simulation process, and determine an initial margin for the financial product. The risk factor simulation process can be a filtered historical simulation process.

Abstract: A multi core optical fiber that includes a plurality of cores disposed in a cladding. The plurality of cores include a first core and a second core. The first core has a first propagation constant ?1, the second core has a second propagation constant ?2, the cladding has a cladding propagation constant ?0, and (I).

Abstract: Disclosed are approaches to acquiring a “disease fingerprint” from biosamples by collecting large data sets of physicochemical interactions to a sensor array composed of organic color center-modified carbon nanotubes. Array responses from subjects may be used to train and validate machine learning models to differentiate diseases and healthy individuals. The trained learning models may be used to subsequently classify patients based on nanosensor array emission data.