Abstract: The invention relates to a system for manufacturing a plurality of integrated circuits, IC, mounted on a common support, the system comprising: an input station configured (adapted, arranged) to receive at least one common support; an output station configured (adapted, arranged) to receive at least one common support having a plurality of integrated circuits formed thereon; a plurality of processing modules each module being operable (configured, arranged, adapted) to perform at least one of the processing steps (e.g. deposition, patterning, etching) for forming an integrated circuit on the common support; a transfer means operable (configured, arranged, adapted) to transfer the at least one common support from the input station to the output station and to one or more of the processing modules therebetween; control means (e.g.

Abstract: Provided herein are antibodies that bind to a peptide of an N-terminally ubiquitinated polypeptide and methods of screening for such antibodies. Also provided herein are detection and enrichment methods using such antibodies for detecting or enriching a peptide of an N-terminally ubiquitinated polypeptide.

Abstract: Techniques are disclosed herein for improving the accuracy of test data obtained outside of a clinical setting. Using the technologies described herein, different techniques can be utilized to analyze, score and adjust test data associated with one or more “at home” tests. In some examples, computing systems are utilized to generate quality scores indicating the accuracy of the test data associated with a particular biomarker. In other examples, an authorized user, such as a data manager can analyze the test data utilizing a user interface to generate scores and/or adjust the test data.

Abstract: The invention relates to a compound which is a diazabicyclooctanone of Formula (I) or a pharmaceutically acceptable salt thereof: wherein R is as defined herein. The compounds are useful in the treatment of bacterial infection, in particular they are useful in reducing bacterial resistance to antibiotics. They are also useful in the treatment of bacteria which express serine-?-lactamase enzymes, in combination with antibiotics.

Abstract: The invention provides a combinations and pharmaceutical compositions comprising (i) a compound which is an indane according to Formula (I) or a pharmaceutically acceptable salt thereof; and (ii) one or more CFTR modulator; wherein R1, R2, R3, R4, n, Lk, (A), G and m are as defined herein. Also provided are therapeutic uses of such combinations and compositions in the treatment of conditions such as cystic fibrosis.

Abstract: An image processing system comprising: a computer readable medium and at least one processor configured to provide a machine learning architecture for image processing. In particular, keyframes are selected for modification by a visual artist, and the modifications are used for training the machine learning architecture. The modifications are then automatically propagated to remaining frames requiring modification through interpolation or extrapolation through processing remaining frames through the trained machine learning architecture. The generated modified frames or frame portions can then be inserted into an original video to generate a modified video where the modifications have been propagated. Example usages include automatic computational approaches for aging/de-aging and addition/removal of tattoos or other visual effects.

Abstract: A drink making device including a hood, a base configured to support at least four bottles, a tower connecting the base and the hood; and a dispenser for dispensing a beverage. The hood includes at least four attachment connectors. Liquid from the bottles is selectively pumped through the connectors through the dispenser to dispense a beverage.

Abstract: A drink making device including a hood, a base configured to support at least four bottles, a tower connecting the base and the hood; and a dispenser for dispensing a beverage. The hood includes at least four attachment connectors. Liquid from the bottles is selectively pumped through the connectors through the dispenser to dispense a beverage.

Abstract: In various embodiments, a training application generates a trained encoder that automatically generates shape embeddings having a first size and representing three-dimensional (3D) geometry shapes. First, the training application generates a different view activation for each of multiple views associated with a first 3D geometry based on a first convolutional neural network (CNN) block. The training application then aggregates the view activations to generate a tiled activation. Subsequently, the training application generates a first shape embedding having the first size based on the tiled activation and a second CNN block. The training application then generates multiple re-constructed views based on the first shape embedding. The training application performs training operation(s) on at least one of the first CNN block and the second CNN block based on the views and the re-constructed views to generate the trained encoder.

Abstract: A drink making device including a hood, a base configured to support at least four bottles, a tower connecting the base and the hood; and a dispenser for dispensing a beverage. The hood includes at least four attachment connectors. Liquid from the bottles is selectively pumped through the connectors through the dispenser to dispense a beverage.

Abstract: The invention relates to a compound which is a thiazole derivative of Formula (I), or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R4, R5, R6, R7, , Z, L, X, m, n and p are as defined herein. The compounds are useful in the treatment and prevention of bacterial infection. The invention also relates to combinations of the compound of Formula (I) with further active agents.

Abstract: An image processing system comprising: a computer readable medium and at least one processor configured to provide a machine learning architecture for image processing. In particular, keyframes are selected for modification by a visual artist, and the modifications are used for training the machine learning architecture. The modifications are then automatically propagated to remaining frames requiring modification through interpolation or extrapolation through processing remaining frames through the trained machine learning architecture. The generated modified frames or frame portions can then be inserted into an original video to generate a modified video where the modifications have been propagated. Example usages include automatic computational approaches for aging/de-aging and addition/removal of tattoos or other visual effects.

Abstract: The invention relates to a compound which is a diazabicyclooctanone of Formula (I) or a pharmaceutically acceptable salt thereof (I): wherein R is as defined herein. The compounds are useful in the treatment of bacterial infection, in particular they are useful in reducing bacterial resistance to antibiotics. They are also useful in the treatment of bacteria which express serine-?-lactamase enzymes, in combination with antibiotics.

Abstract: In various embodiments, a training application generates a trained encoder that automatically generates shape embeddings having a first size and representing three-dimensional (3D) geometry shapes. First, the training application generates a different view activation for each of multiple views associated with a first 3D geometry based on a first convolutional neural network (CNN) block. The training application then aggregates the view activations to generate a tiled activation. Subsequently, the training application generates a first shape embedding having the first size based on the tiled activation and a second CNN block. The training application then generates multiple re-constructed views based on the first shape embedding. The training application performs training operation(s) on at least one of the first CNN block and the second CNN block based on the views and the re-constructed views to generate the trained encoder.

Abstract: The invention relates to a compound which is an indane according to Formula (I), or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R4, R5, R6, L, n and p are as defined herein. The compounds are useful in the treatment of antibacterial infection either as stand alone antibiotics, or in combination with further antibiotics.

Abstract: The invention relates to a compound which is a thiazole derivative of Formula (I), or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R4, R5, R6, R7, Formula (A), Z, L, X, m, n and p are as defined herein. The compounds are useful in the treatment and prevention of bacterial infection. The invention also relates to combinations of the compound of Formula (I) with further active agents.

Abstract: A vacuum cleaner comprising: a housing; a fan; a dirt collection chamber having an opening for emptying dirt from the dirt collection chamber; and a cover movable between a closed position, in which the cover seals the opening, and an open position, wherein the vacuum cleaner is configured to operate: in a suction mode in which the fan generates a suction airflow from an air inlet to an air outlet; and in a blow mode in which the fan generates a blowing airflow from the air outlet to the opening when cover is in the open position.

Abstract: The invention relates to a compound which is an indane according to Formula (I), or a pharmaceutically acceptable salt thereof, wherein R1, R2, R3, R4, R5, R6, n and p are as defined herein. The compounds are useful in the treatment of antibacterial infection either as stand alone antibiotics, or in combination with further antibiotics.

Abstract: In various embodiments, a training application generates a trained encoder that automatically generates shape embeddings having a first size and representing three-dimensional (3D) geometry shapes, First, the training application generates a different view activation for each of multiple views associated with a first 3D geometry based on a first convolutional neural network (CNN) block. The training application then aggregates the view activations to generate a tiled activation. Subsequently, the training application generates a first shape embedding having the first size based on the tiled activation and a second CNN block. The training application then generates multiple re-constructed views based on the first shape embedding. The training application performs training operation(s) on at least one of the first CNN block and the second CNN block based on the views and the re-constructed views to generate the trained encoder.

Abstract: Presented herein are techniques for a low-complexity process of generating an artificial frame that can be used for prediction. At least a first reference frame and a second reference frame of a video signal are obtained. A synthetic reference frame is generated from the first reference frame and the second reference frame. Reference blocks from each of the first reference frame and the second reference frame are combined to derive an interpolated block of the synthetic reference frame.