Abstract: Described herein are methods for treating COVID-19 or preventing COVID-19 in a subject exposed to SARS-CoV-2 by administering to the subject a therapeutically effective amount of salmeterol or the pharmaceutically acceptable salt thereof.

Abstract: The disclosures herein relate to novel compounds of formula wherein R1, R2, R3 and R4 are as defined herein, and their use in treating, preventing, ameliorating, controlling or reducing cerebrovascular or vascular disorders associated with CGRP receptor function.

Abstract: According to the invention there is provided a compound of formula A1 which may be useful in the treatment of a condition or disorder ameliorated by the inhibition of the A1-A2b or, particularly, the A2a receptor. A process for the preparation of the compound, pharmaceutical compositions comprising the compound, and methods of treatment comprising administration of an effective amount of the compound are also disclosed.

Abstract: The invention described herein relates to compounds of Formula (1b): or a salt thereof, wherein R1, R1a, R2, R3 and R5 are defined herein, and their use in the treatment of SARS-CoV-2 and related viruses and disorders associated with SARS-CoV-2.

Abstract: The disclosures herein relate to compounds of Formula (1?): or a salt thereof, wherein A, Q, X, Z, L, R2, R3 and R9 are defined herein, and their use in the treatment of SARS-CoV-2 and related viruses and disorders associated with SARS-CoV-2: Mpro.

Abstract: Digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. The plurality of digital images each capture the object for inclusion as part of generating digital content, e.g., a webpage, a thumbnail to represent a digital video, and so on. In one example, digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. As a result, the service provider system may select a digital image of an object from a plurality of digital images of the object that has an increased likelihood of achieving a desired outcome and may address the multitude of different ways in which an object may be presented to a user.

Abstract: Provided are improved machine learning-based text editing models. Specifically, example implementations include a flexible semi-auto-regressive text-editing approach for generation, designed to derive the maximum benefit from non-auto-regressive text-editing and autoregressive decoding. In contrast to conventional sequence-to-sequence (seq2seq) models, the proposed approach is fast at inference time, while being capable of modeling flexible input-output transformations.

Abstract: Described herein are triazalone compounds of Formula (I) and pharmaceutically acceptable salts thereof. Methods of making and using compounds of Formula (I) are also described. Compounds of Formula (I) and pharmaceutically acceptable salts thereof can be useful as adenosine receptor antagonists, for example in the treatment of diseases or conditions mediated by the adenosine receptor, such as cancer, movement disorders, or attention disorders.

Abstract: Described herein are methods for treating COVID-19 or preventing COVID-19 in a subject exposed to SARS-CoV-2 by administering to the subject a therapeutically effective amount of salmeterol or the pharmaceutically acceptable salt thereof.

Abstract: Described herein are triazalone compounds of Formula (I): and pharmaceutically acceptable salts thereof. Methods of making and using compounds of Formula (I) are also described. Compounds of Formula (I) and pharmaceutically acceptable salts thereof can be useful as adenosine receptor antagonists, for example in the treatment of diseases or conditions mediated by the adenosine receptor, such as cancer, movement disorders, or attention disorders.

Abstract: Described herein are triazalone compounds of Formula (I): and pharmaceutically acceptable salts thereof. Methods of making and using compounds of Formula (I) are also described. Compounds of Formula (I) and pharmaceutically acceptable salts thereof can be useful as adenosine receptor antagonists, for example in the treatment of diseases or conditions mediated by the adenosine receptor, such as cancer, movement disorders, or attention disorders.

Abstract: According to the invention there is provided a compound of formula A1 which may be useful in the treatment of a condition or disorder ameliorated by the inhibition of the A1-A2b or, particularly, the A2a receptor wherein the compound of formula A1 has the structure, wherein, A represents Cy1 or HetA; Cy1 represents a 5- to 14-membered aromatic, fully saturated or partially unsaturated carbocyclic ring system comprising one, two or three rings, which Cy1 group is optionally substituted by one or more R4a substituents; HetA represents a 5- to 14-membered heterocyclic group that may be aromatic, fully saturated or partially unsaturated, and which contains one or more hetermatoms selected from O, S and N, which heterocyclic group may comprise one, two or three rings and which HetA group is optionally substituted by one or more R4b substituents; B represents a Cy2 or HetB; Cy2 represents a 3- to 10-membered aromatic, fully saturated or partially unsaturated carbocyclic ring system comprising one or two rings, whic

Abstract: Digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. The plurality of digital images each capture the object for inclusion as part of generating digital content, e.g., a webpage, a thumbnail to represent a digital video, and so on. In one example, digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. As a result, the service provider system may select a digital image of an object from a plurality of digital images of the object that has an increased likelihood of achieving a desired outcome and may address the multitude of different ways in which an object may be presented to a user.

Abstract: Digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. The plurality of digital images each capture the object for inclusion as part of generating digital content, e.g., a webpage, a thumbnail to represent a digital video, and so on. In one example, digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. As a result, the service provider system may select a digital image of an object from a plurality of digital images of the object that has an increased likelihood of achieving a desired outcome and may address the multitude of different ways in which an object may be presented to a user.

Abstract: Digital content text processing techniques are described. In one example, a text corpus is extracted from digital content and text corpus keywords are identified that are included in the text corpus. A plurality of clusters is formed based on the text corpus keywords. Cluster scores are generated for reviews that define a probability the review belongs to a respective cluster, e.g., based on review keywords extracted from the reviews. Sentiment values and sentiment weights are also generated. The sentiment values describe a sentiment that each of the reviews exhibits towards a respective cluster, e.g., a type of sentiment such as positive, neutral, or negative. The sentiment weights describe an amount of weight to be applied for each sentiment with respect to that cluster. The service provider system then generates ranking scores based on the cluster scores and the sentiment scores which are used to control output of the reviews.

Abstract: Digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. The plurality of digital images each capture the object for inclusion as part of generating digital content, e.g., a webpage, a thumbnail to represent a digital video, and so on. In one example, digital image selection techniques are described that employ machine learning to select a digital image of an object from a plurality of digital images of the object. As a result, the service provider system may select a digital image of an object from a plurality of digital images of the object that has an increased likelihood of achieving a desired outcome and may address the multitude of different ways in which an object may be presented to a user.

Abstract: The disclosures herein relate to novel compounds of formula wherein R1, R2, R3 and R4 are as defined herein, and their use in treating, preventing, ameliorating, controlling or reducing cerebrovascular or vascular disorders associated with CGRP receptor function.

Abstract: The present disclosure relates to the field of smoking tobacco. In particular, the present disclosure relates to smoking substitute systems and particularly, although not exclusively, to a heat-not-burn (HNB) smoking substitute system. Further in particular, the present disclosure relates to a smoking substitute system having at least two different modes of operation. The present disclosure also relates to an improved housing design. The present disclosure further relates to a smoking substitute device with an improved housing design. The present disclosure yet further relates to smoking substitute systems having at least two independent display elements.

Abstract: Background content suggestion for combination with identified items is described. Initially, a system receives digital visual content depicting an item, e.g., a product for purchase. The system identifies various content items that are available for suggesting as replacement backgrounds for the item and then determines a compatibility of these identified content items with the item depicted in the received digital visual content. In particular, the system determines compatibility based on both a scene compatibility and a color compatibility of the identified content items with the depicted item. Based on a combination of the scene and color compatibility, the system surfaces at least one of the identified content items (e.g., a highest scoring content item) as a suggested replacement background for the depicted item.

Abstract: According to the invention there is provided a compound of formula A1 which may be useful in the treatment of a condition or disorder ameliorated by the inhibition of the A1-A2b or, particularly, the A2a receptor wherein the compound of formula A1 has the structure, wherein, A represents Cy1 or HetA; Cy1 represents a 5- to 14-membered aromatic, fully saturated or partially unsaturated carbocyclic ring system comprising one, two or three rings, which Cy1 group is optionally substituted by one or more R4a substituents; HetA represents a 5- to 14-membered heterocyclic group that may be aromatic, fully saturated or partially unsaturated, and which contains one or more heteroatoms selected from O, S and N, which heterocyclic group may comprise one, two or three rings and which HetA group is optionally substituted by one or more R4b substituents; B represents a Cy2 or HetB; Cy2 represents a 3- to 10-membered aromatic, fully saturated or partially unsaturated carbocyclic ring system comprising one or two rings, whic