Abstract: A synthetic turf system is disclosed. The synthetic turf system comprises a synthetic turf system and a poured-in-place (PIP) rubber subsurface. The PIP rubber subsurface is poured with a mixture of rubber buffing and urethane configured to deliver improved safety, playability, and reduced maintenance requirements for the synthetic turf placed on a playing surface. The PIP rubber subsurface is made with rubber buffings combined with a binder such as polyurethane. The system further comprises a layer of compacted gravel disposed underneath the PIP rubber subsurface configured to allow drainage. The system further comprises a plurality of cooling particle infill to avoid dislodging of infill into athlete's shoes, clothes, eyes, or ears. Further, the infill is substantially free of crumb rubber infill and the system is without the use of added shock pads. Further, the system is configured to maintain a consistent concussion resistance throughout the entire playing surface.

Abstract: The present disclosure relates to systems and methods for parsing unstructured data with neural networks. In one implementation, a system for parsing unstructured data may include at least one processor and at least one non-transitory memory storing instructions that, when executed by the at least one processor, cause the system to: receive unstructured data; apply a classifier to the unstructured data to identify a type of the unstructured data; based on the identification, select a corresponding neural network; apply the selected neural network to the unstructured data to obtain structured data; and output the structured data.

Abstract: Systems, devices, and methods for linking orders to develop a consolidated audit trail (CAT) are configured to receive event data for one or more orders based on one or more order characteristics; determine linkages between the one or more orders based on parent relationships of the one or more orders; verify the linkages between the one or more orders based on the event data; and determine order lifecycles based on the linkages between the one or more orders.

Abstract: Multiple on-line coupons are automatically tested on items of interest to a customer, without requiring the customer to perform any action or to look for such coupons in various sources. Such testing can be automatically initiated and performed on items within the customer's shopping cart. Alternatively or additionally, testing can be automatically initiated and performed while the customer is browsing a page for an item on an e-commerce website, before the customer has even placed items in his or her shopping cart. The best coupon or coupons are then presented to the customer, or automatically applied to provide the customer with the appropriate discounts.

Abstract: An exemplary embodiment may include a control hub configured to receive data from an emissions analyzer and a leak detection camera. The emissions analyzer may detect levels of various gases and relay such information to the control hub. In an exemplary embodiment, the emissions analyzer may purge after every test to ensure longevity and accuracy. A leak detection camera may implement quantifying optical gas imaging in order to continuously monitor for fugitive leaks on a compressor package. If a leak is detected, it may be logged and the user or an operating group may be alerted.

Abstract: This disclosure relates generally to recommending an optimal VM instance. The increased use of Deep Learning (DL) models in several domains has resulted in an increased demand for hardware configurations to enable heavy computations and faster performance to support the DL techniques. However, the identification of the optimal hardware configuration for the DL requirement is challenging and requires a considerable amount of time and expertise, considering the highly configurable model configuration of DL techniques.

Abstract: Embodiments disclosed herein model lifelong intent detection as a class-incremental learning where a new set of intents/classes are added at each incremental step. To address the issue of catastrophic forgetting during lifelong intent detection (LID), an incremental learner is provided with Prompt Augmented Generative Replay, wherein unlike existing approaches that store real samples in replay memory, only concept words obtained from old intents are stored, which reduces memory consumption and speeds up incremental training still enabling not forgetting the old intents. Joint training of an incremental learner is carried out for LID and a pseudo-labeled utterance generation with objective is to classify a user utterance into one of multiple pre-defined intents by minimizing a total Loss function comprising a LID loss function, a Labeled Utterance Generation loss function, a Supervised Contrastive Training loss function, and a Knowledge Distillation loss function.

Abstract: A method and system for synthesizing smartphone cue-cards representing socio-technical system (STS) service design prototyping based on a plurality of constraints has been provided. The system creates just in time, a dynamic visual design for senior and junior designers for displaying of patterns as digital Cue Cards based on human configured time constraint and novelty constraints all the while avoiding repeatability for the designer. Smartphone is utilized as a mechanism to host multiple cue cards and an interaction model which allows multiple cue-card-connectedness to jump across constraints of local-maxima/minima towards a global-maxima/minima. The method allows young designers get access to better long term memory (LTM) and senior designer getting access to faster LTM. The present disclosure helps senior designer get faster access to new patterns to reduce time for novel new interventions.

Abstract: An apparatus (100) for use in culturing Sphagnum (106) is provided. The apparatus (100) comprises a culture vessel (102) for Sphagnum (106) and a culture medium (104) arranged in the culture vessel (102). The culture vessel (102) comprises an enclosed airspace (108) above the culture medium (104), and Sphagnum (106) arranged in the culture medium (104). The apparatus (100) further comprises means (110, 112) for supplying carbon dioxide into the enclosed airspace (108).

Abstract: Aspects described herein may relate to a transaction exchange platform using a streaming data platform (SDP) and microservices to process transactions in accordance with corresponding workflows. The transaction exchange platform may receive transactions from origination sources, which may be added to the SDP as transaction objects. Microservices on the transaction exchange platform may interact with the transaction objects based on configured workflows associated with the transactions. Further, the microservices may leverage machine-learning models to determine whether transaction objects may be more effectively processed using alternative or secondary workflows. Processing on the transaction exchange platform may facilitate clearing and settlement of transactions. Some aspects may provide for dynamic and flexible reconfiguration of workflows.

Abstract: At least some example embodiments relate to a container including a body and a lid. The body includes a base, a side wall, and an interior region at least partially defined by the base and the side wall. The lid includes a lid wall and a skirt that extends from a periphery of the lid wall. The skirt engages the body to retain the lid on the body. The skirt cooperates with the lid wall to define a cavity. The lid is formed from a laminate including a metal layer and a polymer layer coupled to the metal layer. The polymer layer is disposed inside of the metal layer with respect to the cavity. A portion of the body is disposed inside the cavity when the container is in a closed configuration. At least some example embodiments relate to a forming of manufacturing the lid.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for context development. For instance, a first method may include obtaining first micro-application actor information associated with a first micro-application actor. The first micro-application actor information may include information for workflow rules, and the workflow rules may include data set rules, extract, transform, load (ETL) rules, and functional expressions. The first method may further include obtaining data from data sources based on the data set rules; applying the ETL rules to the obtained data to generate processed data; applying the functional expressions to the processed data to obtain an output; and performing at least one processing action based on the output. A second method may include generating a system component corresponding to a blueprint based on a user request; associating the system component with a domain of a user account; and performing processes associated the system component.

Abstract: The present disclosure provides a model for deep learning based image feature extraction considering a range of useful negative features. Conventional methods are either considering only positive features or considering all negative features along with positive features which leads to bias in feature extraction. The present disclosure overcomes the problem of the conventional methods using a bounded Rectified Linear activation Unit (B-ReLU) activation function based Bounded-Rectifier Network (B-RectNet). Initially, the present disclosure receives an image pertaining to an object. Further, the received image is preprocessed to remove a plurality of anomalies associated with the image a preprocessing technique. Further, a plurality of image features are extracted based on the preprocessed image using a trained B-RectNet.

Abstract: This disclosure relates generally to identification and mitigation of bias while training deep learning models. Conventional methods do not provide effective methods for bias identification, and they require pre-defined concepts and rules for bias mitigation. The embodiments of the present disclosure train an auto-encoder to produce a generalized representation of an input image by decomposing into a set of latent embedding. The set of latent embedding are used to learn the shape and color concepts of the input image. The feature specialization is done by training an auto-encoder to reconstruct the input image using the shape embedding modulated by color embedding. To identify the bias, permutation invariant neural network is trained for classification task and attribution scores corresponding to each concept embedding are computed. The method also performs de-biasing the classifier by training it with a set of counterfactual images generated by modifying the latent embedding learned by the auto-encoder.

Abstract: This disclosure addresses the unresolved problems of tackling object disambiguation task for an embodied agent. The embodiments of present disclosure provide a method and system for disambiguation of referred objects for embodied agents. With a phrase-to-graph network disclosed in the system of the present disclosure, any natural language object description indicating the object disambiguation task can be converted into a semantic graph representation. This not only provides a formal representation of the referred object and object instances but also helps to find an ambiguity in disambiguating the referred object using a real-time multi-view aggregation algorithm. The real-time multi-view aggregation algorithm processes multiple observations from an environment and finds the unique instances of the referred object.

Abstract: The present invention relates to a method and system for early detection of COVID-19. Existing methods require data from multiple sensors for training a prediction model whose output is considered as final prediction which is actually the prediction for a particular day or time instance. However, this prediction doesn't detect actual infection of COVID-19 since it requires monitoring the change in health of the user over consecutive days. Embodiments of present disclosure overcome these challenges by a prediction model for COVID-19 which requires only data from Photoplethysmography (PPG) sensor seamlessly collected from a wearable device still able to provide accurate COVID-19 prediction with application of a post processing technique on the predictions of the prediction model. Since COVID-19 symptoms have an effect on heartrate and oxygen saturation which are effectively captured by PPG sensor data, studying these dynamics during infection period gives insights to perform early detection of COVID-19.

Abstract: A method of controlling a heater of a nicotine e-vapor device includes detecting, from a removable pod included in the nicotine e-vapor device, power information indicating a first power level and a second power level; and supplying power to the heater based on the detected power information by determining a first amount of power based on the first power level, supplying the first amount of power to the heater during a first operation mode of the heater, determining a second amount of power based on the second power level, and supplying the second amount of power to the heater during a second operation mode of the heater, the second amount of power being higher than the first amount of power.

Abstract: Provided is a downhole tool. The downhole tool, in one aspect, includes an isolation system for placement at a junction between a first wellbore and a secondary wellbore. In at least one aspect, the isolation system includes an elongated tubular, the elongated tubular having an opening connecting an interior of the elongated tubular and an exterior of the elongated tubular; and a slot located in the elongated tubular, the slot spanning the opening. In at least one aspect, the isolation system further includes an isolation sleeve located within the isolation system, the isolation sleeve configured to slide within the slot to either isolate the interior of the elongated tubular from the exterior of the elongated tubular or provide access between the interior of the elongated tubular and the exterior of the elongated tubular, and an I-shaped seal located in an annulus between the elongated tubular and the isolation sleeve.

Abstract: The subject invention pertains to isolated influenza virus that is capable of infecting canids and causing respiratory disease in the canid. The subject invention also pertains to compositions and methods for inducing an immune response against an influenza virus of the present invention. The subject invention also pertains to compositions and methods for identifying a virus of the invention and diagnosing infection of an animal with a virus of the invention.