Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for cutting down a user's larger input video into an edited video comprising the most important video segments and applying corresponding video effects. Some embodiments of the present invention are directed to adding captioning video effects to the trimmed video (e.g., applying face-aware and non-face-aware captioning to emphasize extracted video segment headings, important sentences, quotes, words of interest, extracted lists, etc.). For example, a prompt is provided to a generative language model to identify portions of a transcript (e.g., extracted scene summaries, important sentences, lists of items discussed in the video, etc.) to apply to corresponding video segments as captions depending on the type of caption (e.g., an extracted heading may be captioned at the start of a corresponding video segment, important sentences and/or extracted list items may be captioned when they are spoken).

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for cutting down a user's larger input video into an edited video comprising the most important video segments and applying corresponding video effects. Some embodiments of the present invention are directed to adding face-aware scale magnification to the trimmed video (e.g., applying scale magnification to simulate a camera zoom effect that hides shot cuts with respect to the subject's face). For example, as the trimmed video transitions from one video segment to the next video segment, a scale magnification may be applied that zooms in on a detected face at a boundary between the video segments to smooth the transition between video segments.

Abstract: In implementation of techniques for vector font generation based on cascaded diffusion, a computing device implements a glyph generation system to receive a sample glyph in a target font and a target glyph identifier. The glyph generation system generates a rasterized glyph in the target font using a raster diffusion model based on the sample glyph and the target glyph identifier, the rasterized glyph having a first level of resolution. The glyph generation system then generates a vector glyph using a vector diffusion model by vectorizing the rasterized glyph, the vector glyph having a second level of resolution different than the first level of resolution. The glyph generation system then displays the vector glyph in a user interface.

Abstract: A modified adenovirus, in particular Enadenotucirev (EnAd), armed with at least two bispecific T cell engagers each comprising at least two binding domains, wherein at least one of the domains is specific for a surface antigen on an immune cell of interest, such as a T-cell of interest. Also provided are a composition, such as a pharmaceutical formulation comprising the virus, use of the virus and virus formulations for treatment, such as in the treatment of cancer. The disclosure also extends to processes for preparing the virus.

Abstract: Techniques for vector object blending are described to generate a transformed vector object based on a first vector object and a second vector object. A transformation module, for instance, receives a first vector object that includes a plurality of first paths and a second vector object that includes a plurality of second paths. The transformation module computes morphing costs based on a correspondence within candidate path pairs that include one of the first paths and one of the second paths. Based on the morphing costs, the transformation module generates a low-cost mapping of paths between the first paths and the second paths. To generate the transformed vector object, the transformation module adjusts one or more properties of at least one of the first paths based on the mapping, such as geometry, appearance, and z-order.

Abstract: A modified adenovirus, in particular Enadenotucirev (EnAd), armed with a bispecific T cell activator comprising at least two binding domains, wherein at least one of the domains is specific for a surface antigen on a T-cell of interest. Also provided are a composition, such as a pharmaceutical formulation comprising the virus, use of the virus and virus formulations for treatment, such as in the treatment of cancer. The disclosure also extends to processes for preparing the virus.

Abstract: The present disclosure relates to coatings for agricultural products including one or more monoglycerides of a C4-C28 fatty acid and one or more C8-C24 fatty alcohols. An exemplary embodiment includes about 30 wt % to about 98 wt % of one or more monoglycerides of a C4-C28 fatty acid and about 1 wt % to about 50 wt % of one or more C8-C24 fatty alcohols.

Abstract: A method of sorting gemstones comprises receiving one or more gemstones at a collection location; determining, at the collection location, that one of the one or more gemstones is correctly oriented; transferring the correctly oriented gemstone from the collection location onto a moveable surface using an automated arm; transporting the gemstone upon the moveable surface to one or more measurement locations; measuring one or more properties of the gemstone at the one or more measurement locations while the gemstone is supported upon the moveable surface; and sorting the gemstone based upon the one or more measured properties.

Abstract: A digital image radial pattern decoding system is described. In one example, an unfolded digital image is formed by the radial pattern decoding system by unfolding a radial pattern in a digital image. An inflated digital image is then generated by the radial pattern decoding system by upsampling the unfolded radial pattern. A grid pattern is determined by the radial pattern decoding system based on the inflated digital image. A radial pattern cell is then generated based on a reverse transform of the grid pattern. A visual pattern is generated by the radial pattern decoding system based on the radial pattern cell.

Abstract: The present disclosure relates to a group B adenovirus comprising a sequence of formula (I): 5?ITR-B1-BA-B2-BX-BB-BY-B3-3?ITR wherein: B1 is a bond or comprises: E1A, E1B or E1A-E1B; BA comprises: E2B-L1-L2-L3-E2A-L4; B2 is a bond or comprises: E3; BX is a bond or a DNA sequence comprising: a restriction site, one or more transgenes or both; BB comprises: L5; BY is a bond or a DNA sequence comprising: a restriction site, one or more transgenes or both; B3 is a bond or comprises: E4; wherein at least one of BX or BY is not a bond, pharmaceutical compositions comprising the same and use of the viruses and compositions in treatment, particularly in the treatment of cancer. The disclosure also extends to plasmids and processes employed to prepare the said viruses.

Abstract: A method of sorting gemstones comprises receiving one or more gemstones at a collection location; determining, at the collection location, that one of the one or more gemstones is correctly oriented; transferring the correctly oriented gemstone from the collection location onto a moveable surface using an automated arm; transporting the gemstone upon the moveable surface to one or more measurement locations; measuring one or more properties of the gemstone at the one or more measurement locations while the gemstone is supported upon the moveable surface; and sorting the gemstone based upon the one or more measured properties.

Abstract: A modified adenovirus, in particular Enadenotucirev (EnAd), armed with a bispecific T cell activator comprising at least two binding domains, wherein at least one of the domains is specific for a surface antigen on a T-cell of interest. Also provided are a composition, such as a pharmaceutical formulation comprising the virus, use of the virus and virus formulations for treatment, such as in the treatment of cancer. The disclosure also extends to processes for preparing the virus.

Abstract: Compositions and coating mixtures for coating agricultural products, and methods of manufacturing compositions and mixtures are described.

Abstract: A plurality of pixel-based sampling points are identified within an image, wherein sampling points of a pixel are distributed within the pixel. For individual sampling points of individual pixels, a corresponding radiance vector is estimated. A radiance vector includes one or more radiance values characterizing light received at a sampling point. A first machine learning module generates, for each pixel, a corresponding intermediate radiance feature vector, based on the radiance vectors associated with the sampling points within that pixel. A second machine learning module generates, for each pixel, a corresponding final radiance feature vector, based on an intermediate radiance feature vector for that pixel, and one or more other intermediate radiance feature vectors for one or more other pixels neighboring that pixel. One or more kernels are generated, based on the final radiance feature vectors, and applied to corresponding pixels of the image, to generate a lower noise image.

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure include receiving a raster image depicting a radial color gradient; compute a radial disk model for the radial color gradient, wherein the radial disk model defines a plurality of disks with centers aligned in a same direction; construct a vector graphics representation of the radial color gradient based on the radial disk model; and generate a vector graphics image depicting the radial color gradient based on the vector graphics representation.

Abstract: Techniques for vector object blending are described to generate a transformed vector object based on a first vector object and a second vector object. A transformation module, for instance, receives a first vector object that includes a plurality of first paths and a second vector object that includes a plurality of second paths. The transformation module computes morphing costs based on a correspondence within candidate path pairs that include one of the first paths and one of the second paths. Based on the morphing costs, the transformation module generates a low-cost mapping of paths between the first paths and the second paths. To generate the transformed vector object, the transformation module adjusts one or more properties of at least one of the first paths based on the mapping, such as geometry, appearance, and z-order.

Abstract: The present disclosure relates to a group B adenovirus comprising a sequence of formula (I): 5?ITR-B1-BA-B2-BX-BB-BY-B3-3?ITR wherein: B1 is bond or comprises: E1A, E1B or E1A-E1B; BA comprises-E2B-L1-L2-L3-E2A-L4; B2 is a bond or comprises: E3; BX is a bond or a DNA sequence comprising: a restriction site, one or more transgenes or both; BB comprises L5; BY is a bond or a DNA sequence comprising: a restriction site, one or more transgenes or both; B3 is a bond or comprises: E4; wherein at least one of BX or BY is not a bond, pharmaceutical compositions comprising the same and use of the viruses and compositions in treatment, particularly in the treatment of cancer. The disclosure also extends to plasmids and processes employed to prepare the said viruses.