Abstract: Disclosed is a method for calibrating a light field generating device, which has a display unit with pixels for generating light and a lens field unit with optical lenses for deflecting the light generated by the display unit, and a control unit for controlling the display unit, each lens of the lens field unit being assigned a plurality of pixels of the display unit. Also disclosed are a light field generating device based on the above method and an illumination device having the disclosed light field generation device.

Abstract: A method includes receiving, from an image sensor, an image, identifying, by a first neural network, a plurality of locations-of-interest within the image, and generating, by the first neural network, a first classification label for each location-of-interest of the plurality of locations-of-interest. The method also includes extracting, from the image, a plurality of image chips derived from the plurality of locations-of-interest and generating, by a second neural network, a second classification label for each image chip of the plurality of image chips. The method further includes determining an identification of a set of targets within the image using the plurality of locations-of-interest, the first classification label for each location-of-interest of the plurality of locations-of-interest, the plurality of image chips, and the second classification label for each image chip of the plurality of image chips, and transmitting the identification of the set of targets within the image.

Abstract: The present invention provides mito-metformin compounds, pharmaceutical compositions thereof, and methods of using the mito-metformin compounds in the treatment of cancer.

Abstract: The present invention concerns a method for producing a hydrogel comprising the following steps in succession: a first step (i) of providing at least one powder of an anionic polymer (A) and at least one chitosan powder (B) comprising amine functions (—NH2); a second step (ii) consisting in dry mixing at least the powders (A) and (B) from the first step in order to form a mixture of powders; a third step (iii) of suspending the mixture of powders obtained from the second step in an aqueous medium having a pH that can enable the anionic polymer (A) to be dissolved without dissolving the chitosan (B); a fourth step (iv) of adding an acid to the suspension obtained from the third step in order to form the hydrogel; or the third (iii) and fourth (iv) steps are replaced by a mixing fifth step (v), comprising mixing an acidified aqueous medium including at least one compound (C) comprising at least one unit of a hexose or a unit derived from a hexose, and/or at least one phosphate of said compound (C), with said

Abstract: According to exemplary embodiments, a system and method for automated system power supply design is provided. The system and method enables circuit designers to quickly and independently design complicated single or multi rail power supply systems including multiple loads and sequencing requirements. The power solutions offered to designers may include all required power supplies to power up the loads including sequencers and load switches. The power supply design system may be implemented on a standalone processing unit, a distributed computing network, internet based web application, or among various other network applications.

Abstract: The present invention relates to a method for preventing an SCR catalyst from being contaminated with platinum group metal in an emission control system comprising, upstream of the SCR catalyst, a catalyst that contains platinum group metal, characterized in that a material zone containing a mixture of aluminum oxide and cerium oxide is located upstream of the SCR catalyst.

Abstract: Disclosed herein are methods and systems for improving accuracy of convex optimization-based prediction models while reducing their computation load by clustering a plurality of received random variables extracted from a plurality of samples to a plurality of clusters based on their covariance matrix, applying a convex optimization based prediction model to compute predicted optimal intra-cluster solutions for each cluster and an optimal inter-cluster solution over the plurality of clusters and predicting optimal solutions for the plurality of samples by based on an aggregation between the optimal intra-cluster solutions and the optimal inter-cluster solution. Separately computing the intra-cluster and the inter-cluster solution reduces the prediction model's computation load.

Abstract: Disclosed herein are methods and systems for computing optimized trading instructions, comprising applying a plurality of prediction models to compute trading instructions predicted to produce optimal outcomes based on received trading observations. Each prediction model is optimized, using a Monte Carlo algorithm, to predict optimal outcomes for a respective trading pattern based on a respective Data Generating Processes (DGPs). Weights are assigned to the prediction models according to probability scores computed for them according to mapping of the received trading observations to the DGPs associated with the prediction models and aggregated trading instructions are computed by aggregating, based on the weights, the trading instructions computed by the prediction models.

Abstract: The present invention relates to a method for preventing an SCR catalyst from being contaminated with platinum group metal in an emission control system comprising, upstream of the SCR catalyst, a catalyst that contains platinum group metal, characterized in that a material zone containing a mixture of aluminum oxide and cerium oxide is located upstream of the SCR catalyst.

Abstract: According to exemplary embodiments, a system and method for automated system power supply design is provided. The system and method enables circuit designers to quickly and independently design complicated single or multi rail power supply systems including multiple loads and sequencing requirements. The power solutions offered to designers may include all required power supplies to power up the loads including sequencers and load switches. The power supply design system may be implemented on a standalone processing unit, a distributed computing network, internet based web application, or among various other network applications.

Abstract: A method of estimating whether a statistical model is a false positive, comprising receiving a plurality of predicted outcomes computed by a plurality of statistical models for a historical dataset, computing a correlation matrix for the plurality of predicted outcomes, clustering the plurality of predicted outcomes in a plurality of clusters according to a plurality of clustering schemes based on the correlation matrix, selecting a clustering scheme having a highest quality score among a plurality of clustering schemes, computing, for each of the clusters of the selected clustering scheme, an aggregated predicted outcome aggregating the predicted outcomes clustered in the respective cluster, computing an estimated variance across the clusters, and computing a false positive probability of a selected one of the plurality of statistical models based on the aggregated predicted outcome of the cluster comprising the selected statistical model, the number of clusters, and the estimated variance across all cluster

Abstract: According to exemplary embodiments, a system and method for automated system power supply design is provided. The system and method enables circuit designers to quickly and independently design complicated single or multi rail power supply systems including multiple loads and sequencing requirements. The power solutions offered to designers may include all required power supplies to power up the loads including sequencers and load switches. The power supply design system may be implemented on a standalone processing unit, a distributed computing network, internet based web application, or among various other network applications.

Abstract: A remote-controlled unmanned foldable aircraft comprises at least two motors that allow the aircraft to fly, and at least one support structure for supporting said motors; the support structure is flexible and inflatable such that the support structure can be folded and unfolded between a storage position and an operational position.

Abstract: The present invention concerns a method for producing a hydrogel comprising the following steps in succession: a first step (i) of providing at least one powder of an anionic polymer (A) and at least one chitosan powder (B) comprising amine functions (—NH2); a second step (ii) consisting in dry mixing at least the powders (A) and (B) from the first step in order to form a mixture of powders; a third step (iii) of suspending the mixture of powders obtained from the second step in an aqueous medium having a pH that can enable the anionic polymer (A) to be dissolved without dissolving the chitosan (B); a fourth step (iv) of adding an acid to the suspension obtained from the third step in order to form the hydrogel; or the third (iii) and fourth (iv) steps are replaced by a mixing fifth step (v), comprising mixing an acidified aqueous medium including at least one compound (C) comprising at least one unit of a hexose or a unit derived from a hexose, and/or at least one phosphate of said compound (C), with said

Abstract: New computational technologies generating systematic investment portfolios by coordinating forecasting algorithms contributed by researchers are provided. Work on challenges is efficiently facilitated by the algorithmic developer's sandbox (“ADS”). Second, the algorithm selection system performs a batch of tests that selects the best developed algorithms, updates the list of open challenges and translates those scientific forecasts into financial predictions. The algorithm controls for the probability of backtest overfitting and selection bias, thus providing for a practical solution to a major flaw in computational research involving multiple testing. Third, the incubation system verifies the reliability of those selected algorithms. Fourth, the portfolio management system uses the selected algorithms to execute investment recommendations. A dynamically optimal portfolio trajectory is determined by a quantum computing solution to combinatorial optimization representation of the capital allocation problem.

Abstract: Described herein are methods and system for generating a hierarchical data structure. A cluster of server computing devices receives a matrix of observations, derives a robust covariance matrix, and divides the matrix of observations into a plurality of computation tasks. Each processor in the cluster generates a first data structure for a distance matrix based upon a corresponding task, the distance matrix comprising a plurality of items, and clusters the items to generate a clustered distance matrix. Each processor generates a second data structure for a linkage matrix using the clustered matrix. Each processor reorganizes rows and columns of the linkage matrix to generate a quasi-diagonal matrix and recursively bisects the quasi-diagonal matrix. Each processor generates a third data structure containing the clusters and assigned weights. Each third data structure is consolidated into a solution vector, which is transmitted to a remote computing device.

Abstract: A method and a system are disclosed for determining a weight allocation in a group comprising a large plurality of items using an optimization oracle, the method comprising obtaining an indication of a plurality of data for each item of a large plurality of items; generating a covariance matrix for the plurality of data; generating a hierarchical tree structure having a plurality of clusters, each cluster having a corresponding item associated therewith, the generating comprising until there is one item associated per cluster of the hierarchical tree structure, recursively formulating an optimization problem to divide a given set of items into two different clusters, translating the formulated optimization problem into an unconstrained binary optimization problem, providing an indication of the unconstrained binary optimization problem to an optimization oracle, receiving an indication of at least one solution from the optimization oracle, assigning a cluster to each item of the given set of items using the a

Abstract: The present invention provides mito-metformin compounds, pharmaceutical compositions thereof, and methods of using the mito-metformin compounds in the treatment of cancer.

Abstract: A cluster of server computing devices receives a matrix of observations and divides the matrix into a plurality of input data sets. Each processor in the cluster generates a first data structure for a distance matrix based upon a corresponding input data set, the distance matrix comprising a plurality of items, and clusters the items to generate a clustered distance matrix. Each processor generates a second data structure for a linkage matrix using the clustered matrix. Each processor analyzes the linkage matrix to determine a number of items per cluster and analyzes the linkage matrix to assign a weight to each cluster based upon a distance of the cluster to other clusters and a size of the cluster. Each processor generates a third data structure containing the clusters and assigned weights. Each third data structure is consolidated into a hierarchical data structure, which is transmitted to a remote computing device.

Abstract: The invention relates to a carbon-free electrocatalyst for fuel cells, containing an electrically conductive substrate and a catalytically active species, wherein the conductive substrate is an inorganic, multi-component substrate material of the composition 0X1-0X2, in which 0X1 means an electrically non-conductive inorganic oxide having a specific surface area (BET) in the range of 50 to 400 mVg and 0X2 means a conductive oxide. The non-conductive inorganic oxide 0X1 is coated with the conductive oxide 0X2. The multi-component substrate preferably has a core/shell structure. The multi-component substrate material 0X1-0X2 has an electrical conductivity in the range>0.01 S/cm and is coated with catalytically active particles containing noble metal. The electrocatalysts produced therewith are used in electrochemical devices such as PEM fuel cells and exhibit high corrosion stability.