Abstract: Technology herein provides a method, apparatus and computer readable storage medium for use in video encoding. The technology performs operations including pruning interframe candidate modes, based on one or more criteria, to provide a reduced set of candidate modes for encoding a video block, wherein a candidate mode includes an interframe mode type, a set of reference frame types, and one or more dynamic reference list (DRL) candidates, and wherein pruning interframe candidate modes comprises excluding one or more interframe mode types, determining a rate distortion (RD) cost for each of the candidate modes in the reduced set of candidate modes, selecting a candidate mode from the reduced set of candidate modes, based on the lowest RD cost, as a selected interframe mode, and encoding the video block using the selected interframe mode.

Abstract: A system and method for temporal control of fault functional verification. In some embodiments, a method includes: determining, in a nominal functional verification of a circuit, that an output of a first component has a first value at a first point in time, the output of the first component being connected to an input of a second component by a wire; determining, in a fault functional verification of the circuit, that the output of the first component has a second value, different from the first value, at the first point in time; determining, based on runtime input, that the wire passes through a barrier; and setting, in the fault functional verification, the value of the input of the second component, at the first point in time, to the first value.

Abstract: Described herein are systems, methods, devices, and other techniques for comprehensive and automated evaluation of digital images generated from artificial intelligence (AI) models in order to promote accurate representations of real-world content. Prompts are received at the system that are then passed to both a search engine and a generative AI model. Synthesized digital images are obtained from the generative AI model. The top-matching image from the search engine is used as a verification of the ground truth of the synthesized digital images. A realism score is generated for each synthesized digital image that characterizes the accuracy of the synthesized digital image with reference to the verification image. The realism score can be used to assist and expedite the image selection process, as well as serve as input to fine-tune the performance of generative models.

Abstract: Systems and methods that use historical data comprising capacity gain solutions and their associated gains at various locations to train a machine learning model. The trained machine learning model, upon receiving a new location (e.g., latitude and longitude coordinates), recommends the top n (e.g., the top 3) solutions that should be deployed at the new location to improve telecommunications network performance. The machine learning model uses clustering techniques to perform the recommendations.

Abstract: The present disclosure relates to a two-dimensional Ni-organic framework/rGO composite including: a two-dimensional electroconductive Ni-organic framework in which Ni and an organic ligand containing a substituted or unsubstituted C6-C30 arylhexamine are repeatedly bonded in a branched form; and reduced graphene oxide (rGO). Thus, when a composite of reduced graphene oxide (rGO) and a two-dimensional Ni-MOF is prepared and used as an energy storage electrode material, the two-dimensional Ni-organic framework/rGO composite of the present disclosure can exhibit higher discharge capacity per weight due to the synergistic effect of rGO and Ni-MOF as compared to when Ni-MOF is used alone, and the composite can be used to manufacture a thin-film type electrode, which can be used as a next-generation energy storage electrode having high mechanical bending strength and energy density per volume.

Abstract: Systems and methods that use historical data comprising capacity gain solutions and their associated gains at various locations to train a machine learning model. The trained machine learning model, upon receiving a new location (e.g., latitude and longitude coordinates), recommends the top n (e.g., the top 3) solutions that should be deployed at the new location to improve telecommunications network performance. The machine learning model uses clustering techniques to perform the recommendations.

Abstract: The present invention provides a metal salt of malonic acid derivative compound having chemical formula (I) as an ?-nucleating agent and process for preparing the same. The present invention also provides a polymer additive and thermoplastic composition comprising the metal salt of malonic acid derivative compound having chemical formula (I).

Abstract: Systems and methods for identifying dominant user locations so that optimum user experience improvement solutions can be deployed at the identified locations are disclosed. One of the purposes of the dominant customer location identification system is to plan for site capacity (for example, small cell planning, hot-spots planning, and dense area capacity planning) and to offer optimum/premium customer experience. The system does this by understanding the customer's dominant locations over a certain period of time (for example, monthly) so that the customer's overall experience can be enhanced. Once a customer's dominant locations are identified, then the telecommunications service provider can gain a better understanding of the primary sites providing service to the customer, and deploy/implement/execute one or more optimum customer experience improvement solutions at the identified sites.

Abstract: Systems and methods are described for monitoring performance and allocating resources to improve the performance of a wireless telecommunications network. A wireless telecommunications network may be comprised of base stations and other infrastructure equipment, which may be sourced from various suppliers. Users may generate traffic on the wireless network, and performance metrics relating to the user experience may be collected from individual base stations. The set of available metrics for a particular base station may vary according to the supplier. A machine learning model is thus trained using metrics from multiple base stations, and used to estimate values for metrics that a particular base station does not provide. The metrics are then further characterized according to the service classes of the users, and resources for improving the performance of base stations are allocated according to the reported and estimated metrics for various service classes.

Abstract: Systems and methods are described for monitoring performance and allocating resources to improve the performance of a wireless telecommunications network. A wireless telecommunications network may be comprised of base stations and other infrastructure equipment, which may be sourced from various suppliers. Users may generate traffic on the wireless network, and performance metrics relating to the user experience may be collected from individual base stations. The set of available metrics for a particular base station may vary according to the supplier. A machine learning model is thus trained using metrics from multiple base stations, and used to estimate values for metrics that a particular base station does not provide. The metrics are then further characterized according to the service classes of the users, and resources for improving the performance of base stations are allocated according to the reported and estimated metrics for various service classes.

Abstract: The present invention provides a metal salt of malonic acid derivative compound having chemical formula (I) as an ?-nucleating agent and process for preparing the same. The present invention also provides a polymer additive and thermoplastic composition comprising the metal salt of malonic acid derivative compound having chemical formula (I).

Abstract: The present invention relates to a novel and economical process for modification of acid scavenger to be used not only for neutralizing the effect of catalyst residue but as well as crystallinity modifier in polyolefins. More particularly, the present invention discloses a process for modification of acid scavenger to be used as dual functional additive as acid scavenger as well as crystallinity modifier in polyolefins, said process comprising treating an acid scavenger with an organic dibasic acid to obtain a modified acid scavenger, wherein the acid scavenger is calcium aluminum hydroxy carbonate having chemical formula Ca4Al2(OH)12CO3.nH2O, where n=4-5.

Abstract: The present invention relates to a novel and economical process for modification of acid scavenger to be used not only for neutralizing the effect of catalyst residue but as well as crystallinity modifier in polyolefins. More particularly, the present invention discloses a process for modification of acid scavenger to be used as dual functional additive as acid scavenger as well as crystallinity modifier in polyolefins, said process comprising treating an acid scavenger with an organic dibasic acid to obtain a modified acid scavenger, wherein the acid scavenger is calcium aluminium hydroxy carbonate having chemical formula Ca4Al2(OH)12CO3.nH2O, where n=4-5.

Abstract: A method of producing an amide from the corresponding nitrile comprising the following steps, i) providing a microorganism capable of producing a nitrile hydratase biocatalyst, ii) culturing the microorganism in a growth medium, iii) storing the microorganism, iv) contacting the nitrile by the microorganism in an aqueous medium and thereby converting the nitrile to the amide, wherein the microorganism is stored as none actively growing free cells in a storage medium that comprises water. The stored microorganism may be as whole microbial cells, this may be in the form of a cell paste recovered from a fermentation medium; an aqueous suspension of the microbial cells, prepared using a suitable suspending medium such as water, physiological saline solution, or a suitable buffer solution, such as phosphate or comprises the fermentation broth that contains components of the fermentation culture medium and products of microbial culture.

Abstract: A glider consisting preferably of a silicone molded platform with eight roller balls strategically placed on the undersurface of the platform. The glider provides a mobile cushion to support a wrist, elbow or forearm while actively mousing, drawing, or performing other tasks. The glider can be used independently or with a cushion positioned on the top of the platform. It can be placed under the wrist to help alleviate repetitive stress injuries such as carpal tunnel by maintaining the wrist in a neutral position. Versatility is offered by allowing use of the glider alone, cushioning alone, or combinations of glider and cushioning with various cushions.

Abstract: A method for computer-aided closed and/or open-loop control of a technical system is provided. A first value of an output quantity is predicted on a data-based model at a current point in time. A second value of the output quantity is determined from an analytical model. The state of the technical system at the current point is assigned a confidence score in the correctness of prediction of the data-based model. A third value of the output quantity is determined from the first and second value as a function of the confidence score for controlling the technical system. A suitable value for the output quantity can be derived from the analytical model even for regions of the technical system in which the quality of prediction of the data-based model is low because of a small set of training data. The technical systems can be turbines, such as gas turbines.

Abstract: Various embodiments provide a web platform, e.g., a web browser, which is designed to facilitate user access to websites in a quick and efficient manner. The web platform includes an address bar and, as keystrokes are entered into the address bar, a user interface container is populated with relevant suggestions from a combination of various data sources based on matching character input. Data sources can include a user's browsing history, favorites, and domain suggestions from a remote source, such as a service provider.

Abstract: Various embodiments align callbacks to a scripting component that enable the scripting component to update animation, with a system's refresh notifications. Specifically, an application program interface (API) is provided and implemented in a manner that generates and issues a callback to the scripting component when the system receives a refresh notification. This provides the scripting component with a desirable amount of time to run before the next refresh notification.

Abstract: Various embodiments align callbacks to a scripting component that enable the scripting component to update animation, with a system's refresh notifications. Specifically, an application program interface (API) is provided and implemented in a manner that generates and issues a callback to the scripting component when the system receives a refresh notification. This provides the scripting component with a desirable amount of time to run before the next refresh notification.

Abstract: A method for computer-aided closed and/or open-loop control of a technical system is provided. A first value of an output quantity is predicted on a data-based model at a current point in time. A second value of the output quantity is determined from an analytical model. The state of the technical system at the current point is assigned a confidence score in the correctness of prediction of the data-based model. A third value of the output quantity is determined from the first and second value as a function of the confidence score for controlling the technical system. A suitable value for the output quantity can be derived from the analytical model even for regions of the technical system in which the quality of prediction of the data-based model is low because of a small set of training data. The technical systems can be turbines, such as gas turbines.