Abstract: A nozzle for a laser processing system is provided. A primary passage extends between the proximal end and the distal end of the nozzle body along a central longitudinal axis. At least one auxiliary passage is located within the body of the nozzle adjacent to the primary passage while substantially fluidly isolated from the primary passage. At least one conduit is located proximate the distal end of the body and in fluid communication with the at least one auxiliary passage. The at least one auxiliary passage is configured to flow a secondary fluid through the body of the nozzle in a first direction to impinge on a surface of the at least one conduit that is proximate the primary passage. The at least one conduit is configured to redirect the secondary fluid toward an exterior surface of the body in a second direction.

Abstract: An approach for detecting unplanned changes in the link performance of a delay tolerant network and making automatic and immediate adjustments to the contact plans of the network to provide route revisions that will reallocate traffic load to improve network performance. Physical layer information is used to predict link performance and to adapt route computation to avoid disruption and to optimize contact performance. Prediction is based on advanced software defined radio observable phenomena such as signal to noise ratio, background noise measurements, and forward error correction bit error counts. This approach can enable a delay-tolerant network node to recompute routes and revise bundle forwarding decisions automatically in response to changes in the properties of the communication link.

Abstract: A portable web widget for distribution of multimedia content over a computer communications network, the web widget adapted for viral distribution and execution in a web browser on a client device wherein the widget includes a content retrieval component communicatively coupled to an application server over the computer communications network, the content retrieval component configured to retrieve one or more multimedia display files and metadata into an embedded electronic commerce store in the web widget after it enters an active operational mode, the widget also including a content preview component configured to enable a streamed execution of a portion of the multimedia content files associated with each of the multimedia display files from a multimedia content distribution system executing on the application server, and a transaction processing component operative to execute and complete a commercial transaction in the embedded electronic commerce store pertaining to the multimedia content files.

Abstract: In an aspect, an apparatus for predicting downhole conditions is disclosed. The apparatus comprises at least a processor and a memory communicatively connected to the at least a processor. The memory containing instructions configuring the at least a processor to receive a condition datum. The memory additionally contains instructions configuring the at least a processor to produce a measured downhole condition using at least a sensor. The memory instructs the processor to convert the condition datum and the measured downhole conditions into a cleansed data format using a data conversion module. The processor is instructed by the memory to identify a flagged data as a function of the cleansed condition datum and the cleansed measured downhole conditions using a downhole machine learning model. The memory instructs the processor to generate a predicted downhole condition as a function of the flagged data.

Abstract: Techniques for controlling a vehicle based on a collision avoidance algorithm are discussed herein. The vehicle receives sensor data and can determine that the sensor data represents an object in an environment through which the vehicle is travelling. A computing device associated with the vehicle determines a collision probability between the vehicle and the object at predicted locations of the vehicle and object at a first time. Updated locations of the vehicle and object can be determined, and a second collision probability can be determined. The vehicle is controlled based at least in part on the collision probabilities.

Abstract: The present embodiments relate to detecting malware in a document management system (DMS). File stubs representing files remotely stored in a DMS can be presented in file managers at local computing devices for review/interaction on the local computing devices. A file stub for a specific file can be selected in the file manager, and a request to download the file can be provided to the DMS. The process in requesting the download of the file can be processed to determine whether the process is user-initiated or programmatic-initiated. If the process is user-initiated (e.g., initiated by a user on the local computing device), the file can be provided to the local computing device. Programmatic-initiated processes can be a result of software or malware, and mitigating actions can be taken if the request to download the file is a programmatic-initiated process.

Abstract: An apparatus for multi-stage fracking, wherein the apparatus includes a pump configured to pump a fracking fluid into a rock region comprises a plurality of rock zones, and a computing device communicatively connected to the pump, wherein the computing device includes at least a processor, and a memory communicatively connected to the at least a processor containing instructions configuring the at least a processor to receive reservoir data, determine an optimal fracking stimulation parameter as a function of the reservoir data, identify a fracking stage as a function of the optimal fracking stimulation parameter, and adjust a pump configuration of the pump as a function of the fracking stage.

Abstract: The present invention relates to a computer-implemented method of gaming in a virtualisation environment. The method comprises obtaining information in relation to a plurality of games, the information including technical information indicative of the required GPU resource of each game, providing a GPU server comprising at least one graphics processing unit (GPU) with a predefined GPU capacity, receiving from a computing device a gaming request, and dynamically creating a virtual machine on the GPU server, the virtual machine being assigned a virtual GPU capacity from the at least one GPU that substantially matches the required GPU resource for the game.

Abstract: Disclosed herein is a compact beam scanner assembly that includes an ellipsoidal reimaging mirror.

Abstract: An impact is detected with a vehicle having a body comprising parts which are deformable in an impact, by a secondary impact detection system configured to detect an impact that may not trigger a primary impact detection system. The secondary impact detection system comprises a plurality of deformation sensors attached to the deformable parts and configured to detect bending of the deformable parts. One or more processors are configured to receive a plurality of respective outputs from the plurality of deformation sensors, process the respective outputs to increase sensitivity to short-term changes relative to long-term changes and generate an indication of an impact dependent on detecting a processed output meeting a predetermined criterion. Outputs associated with a group of neighboring flex sensors may be used to localize the impact, characterize the source of impact, and/or reduce a likelihood of a false positive associated with the detection.

Abstract: Certain embodiments disclose a contact lens holder including a rim forming a lens receptacle for receiving a lens and a flange integrally formed with and extending from the rim, flange comprising at least one tab, wherein at least one of a posterior surface of the flange and a posterior surface of the at least one tab comprises micro-structuring.

Abstract: An apparatus for generating a digital assistant is disclosed. The apparatus include at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive at least one user query from a user. The memory instructs the processor to extract a plurality of background data and a plurality of contextual data from the user dataset. The memory instructs the processor to receive at least one user query from a user. The memory instructs the processor to generate a query response as a function of the at least one user query and the contextual data using the digital assistant. The memory instructs the processor to display the query response using the digital assistant on a display device.

Abstract: Techniques are described for cleaning sensors of a vehicle. An attribute of the surrounding environment (e.g., type of precipitation, intensity of precipitation, etc.) is determined along with orientations and/or attributes of the sensors (e.g. fields-of-view, focal lengths, spectral ranges, etc). Cleaning frequencies are then be determined based, at least in part, on the attribute of the environment together with the orientations and/or attributes of the sensors. Cleaning elements are then activated at the determined frequencies to clean the sensors. In some examples, the cleaning frequencies may be determined based additionally on an attribute of travel of the vehicle (e.g. direction of travel of the vehicle, speed of the vehicle, etc.).

Abstract: Compositions and methods of treating a gastrointestinal dysbiosis using a limited number of defined bacterial species are provided.

Abstract: Various embodiments of the present disclosure provide predictive modeling techniques for generating predictive classifications from a plurality of continuous sensor measurements. The techniques may include identifying change points from sensor measurements for an input data object, determining data spikes from the sensor measurements based on the change points, and generating a predictive classification for the input data object based on the data spikes. The predictive classification may correspond to an evaluation time period with one or more sub-time periods. The techniques may include determining a sub-time period classification for each of the sub-time periods of the evaluation time period. The predictive classification may be derived from the sub-time period classifications. Using the predictive classification, an action output may be generated and provided for the input data object.

Abstract: A computer-implemented process for medical sensing, the process including the steps of: accessing scattering data representing successive sets of measurements of electromagnetic wave scattering by internal features of a body part of a living subject, each said measurement representing scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas disposed about the body part as measured by a corresponding antenna of the array of antennas at a corresponding time, wherein the successive sets of measurements are temporally spaced apart; processing each of the measurements to generate corresponding spectral data representing intensities measured by the corresponding antenna at the corresponding time as a function of frequency; and processing the spectral data of each antenna for successive times to generate corresponding pulsatility data representing successive pulsations within a corresponding spatially localized region within the body part.

Abstract: An apparatus and method for generating a compiled artificial intelligence (AI) model. The apparatus incudes a processor that is configured to receive data sets from user devices. The processor is further configured to convert the data sets using a machine-learning model into a cleansed data format and generate an accumulated model using the converted data sets as training data.

Abstract: An apparatus and method for fracking optimization, wherein the apparatus includes at least a processor, and a memory, wherein the memory containing instructions configuring the at least a processor to receive a reservoir datum from at least a sensing device, generate a production training data include a plurality of reservoir datums as input correlated to a plurality of optimal production parameters as output, train a fracking optimization machine-learning model using the production training data, determine an optimal production parameter as a function of the fracking optimization machine-learning model, and generating an optimal production plan as a function of the optimal production parameter.

Abstract: Disclosed are various approaches for determining an animal feed formulation. In some implementations, a system may obtain data that provides characteristics of an animal population located at a site. The system may identify a target growth schedule for the animal population. The system may use a data processing model to predict nutrition requirements for tissue growth in the animal population, using the target growth schedule and the characteristics of the animal population, as the model predicts nutrition requirements based on projected nitrogenous energy requirements for the tissue growth. The system may identify a feed formulation producible from a combination of animal feed ingredients to satisfy the nutrition requirements for tissue growth. The system may generate a data output for use of the feed formulation with the animal population, the data output indicating the identified feed formulation producible from the combination of animal feed ingredients.

Abstract: The invention provides compositions and methods for use in the treatment and prevention of cholestatic diseases.