Abstract: The use of amyloid fibrils for providing nutritional minerals to the human body, particularly as a component in a food product, a dietary supplement or in a pharmaceutical product. Compositions including composite materials of amyloid fibrils and nutritional minerals. The use of such composite materials in the treatment of diseases and disorders and to the fortification of food and dietary supplements with nutritional minerals.

Abstract: A neural network, a system using this neural network and a method for training a neural network to output a description of the environment in the vicinity of at least one sound acquisition device on the basis of an audio signal acquired by the sound acquisition device, the method including: obtaining audio and image training signals of a scene showing an environment with objects generating sounds, obtaining a target description of the environment seen on the image training signal, inputting the audio training signal to the neural network so that the neural network outputs a training description of the environment, and comparing the target description of the environment with the training description of the environment.

Abstract: In some embodiments, a method trains a first parameter of a differentiable proxy codec to encode source content based on a first loss between first compressed source content and second compressed source content that is output by a target codec. A pre-processor pre-processes a source image to output a pre-processed source image, the pre-processing being based on a second parameter. The differentiable proxy codec encodes the pre-processed source image into a compressed pre-processed source image based on the first parameter. The method determines a second loss between the source image and the compressed pre-processed source image and determines an adjustment to the first parameter based on the second loss. The adjustment is used to adjust the second parameter of the pre-processor based on the second loss.

Abstract: A system includes a machine learning (ML) model-based video downsampler configured to receive an input video sequence having a first display resolution, and to map the input video sequence to a lower resolution video sequence having a second display resolution lower than the first display resolution. The system also includes a neural network-based (NN-based) proxy video codec configured to transform the lower resolution video sequence into a decoded proxy bitstream. In addition, the system includes an upsampler configured to produce an output video sequence using the decoded proxy bitstream.

Abstract: In some embodiments, a method receives a video including interlaced frames. Second fields for a second frame and the second fields for a third frame are analyzed to determine estimated second fields for the first frame in an image space. The method converts the first fields and the estimated second fields for the first frame into first features and second features, respectively, in a feature space. The estimated second features are determined for the estimated second fields for the first frame based on the first features for the first frame. Backward features from the second frame and forward features from the third frame are used to determine the estimated second features for the first frame. The method outputs a prediction for the estimated second fields for the first frame based on the estimated second features and generates a first frame with the first fields and estimated second fields.

Abstract: A magnetic resonance device comprises a sample spinning apparatus (20) configured to spin a sample (30) about a sample spinning axis (R), the sample spinning apparatus being configured to exert a torque on the sample by interaction of the sample with an electromagnetic sample spinning field.

Abstract: The present invention relates to a T cell comprising an engineered TCR-CD3 complex, wherein (a) binding of the engineered TCR-CD3 complex by a CD3 agonist results in a similar level of T cell activation compared to a T cell comprising a non-engineered TCR-CD3 complex; and (b) binding of the engineered TCR-CD3 complex by a cognate peptide-MHC complex results in a reduced level of T cell activation compared to a T cell comprising a non-engineered TCR-CD3 complex. Further encompassed are compositions comprising the T cell according to the invention and methods of uses thereof.

Abstract: In some embodiments, a grain analysis system is configured for analyzing a first video frame and outputting respective first film grain information for film grain that is included in the first video frame or configured for analyzing a second video frame and outputting second film grain information. At least one of a grain removal system and a grain synthesis system is included. The grain removal system is configured for removing the film grain from the first video frame using the first film grain information to generate a third video frame corresponding to the first video frame with film grain removed. The grain analysis system is separate from the grain removal system. The grain synthesis system is configured for synthesizing film grain for the third video frame using the first film grain information or the second film grain information. The grain analysis system is separate from the grain synthesis system.

Abstract: According to a first aspect of the invention, a method for the generation of a cell line is provided, comprising the steps of (a) providing a plurality of mammalian B cells, wherein each of the plurality of B cells comprises a transgenic genomic DNA sequence encoding a marker protein inserted into an endogenous immunoglobulin locus comprised in said B cell, and wherein the transgenic genomic DNA sequence is amenable to cleavage by a site directed nuclease, particularly Cas9; (b) replacing the transgenic genomic DNA sequence encoding a marker protein with a second transgenic DNA sequence encoding a protein of interest; (c) sorting B cells based on the presence or absence of the marker protein; and (d) collecting B cells in which the marker protein is absent.

Abstract: Embodiment of the present invention sets forth techniques for performing face reconstruction. The techniques include generating an identity mesh based on an identity encoding that represents an identity associated with a face in one or more images. The techniques also include generating an expression mesh based on an expression encoding that represents an expression associated with the face in the one or more images. The techniques also include generating, by a machine learning model, an output mesh of the face based on the identity mesh and the expression mesh.

Abstract: A technique for rendering an input geometry includes generating a first segmentation mask for a first input geometry and a first set of texture maps associated with one or more portions of the first input geometry. The technique also includes generating, via one or more neural networks, a first set of neural textures for the one or more portions of the first input geometry. The technique further includes rendering a first image corresponding to the first input geometry based on the first segmentation mask, the first set of texture maps, and the first set of neural textures.

Abstract: An ink composition for additive manufacturing comprises at least a first phase, the first phase being a liquid phase, and inorganic particles being distributed in the first phase. The inorganic particles are redox active. The first phase furthermore comprises at least one organic processing additive. In a method of additive manufacturing a structure for use in a thermochemical fuel production process and/or in a heat transfer application, said ink composition is deposited so as to form a precursor structure, and said precursor structure is subjected to at least one thermal treatment so as to form the structure for use in the thermochemical fuel production process and/or in the heat transfer application.

Abstract: A system and a method for training a semantic segmentation model includes obtaining a plurality of sets of images each having an index z for visibility, iteratively training the model. Iteratively training the model includes (a) for each z above 1, obtaining preliminary semantic segmentation labels for each image of the set of images of index z?1 by applying the model to each image of the set of images of index z?1, (b) processing each preliminary semantic segmentation labels using semantic segmentation labels obtained using the model on a selected image of index 1, and obtaining processed semantic segmentation labels, (c) training the model using the set of images of index z?1 and the associated processed semantic segmentation labels, and (d) performing steps (a) to (c) for z+1.

Abstract: Techniques are disclosed for generating photorealistic images of objects, such as heads, from multiple viewpoints. In some embodiments, a morphable radiance field (MoRF) model that generates images of heads includes an identity model that maps an identifier (ID) code associated with a head into two codes: a deformation ID code encoding a geometric deformation from a canonical head geometry, and a canonical ID code encoding a canonical appearance within a shape-normalized space. The MoRF model also includes a deformation field model that maps a world space position to a shape-normalized space position based on the deformation ID code. Further, the MoRF model includes a canonical neural radiance field (NeRF) model that includes a density multi-layer perceptron (MLP) branch, a diffuse MLP branch, and a specular MLP branch that output densities, diffuse colors, and specular colors, respectively. The MoRF model can be used to render images of heads from various viewpoints.

Abstract: A composition including a temperature sensitive biocompatible solder and at least one type of nanoparticles, characterized in that a first type of nanoparticles is a fluorescent nanothermometer, wherein the fluorescent nanothermometer exhibits an excitation maximum and temperature dependent emission spectrum each in the range of between 650 and 1350 nm. The composition can be used for laser tissue soldering.

Abstract: A perfusion loop assembly for ex vivo liver perfusion includes a pump providing perfusion fluid through a line branching at a branching point into a first branch line and a second branch line. The first branch line provides a first portion of the perfusion fluid to the hepatic artery of the liver, the first branch line coupled with a gas exchanger, where the first branch line includes a flow rate sensor and/or a pressure sensor. The second branch line provides a second portion of the perfusion fluid to the portal vein of the liver; the second branch line includes a valve for controlling flow of perfusion fluid into the portal vein. The second branch line includes a flow rate sensor and/or a pressure sensor. A liver chamber assembly holds the liver ex vivo, and an outlet line for the perfusion fluid connects the liver chamber assembly and the pump.

Abstract: A push-pull device (10) comprises: a first waveguide (W1) arranged between its first and second electrode (S11, S12) and a second waveguide (W2) arranged between its first and a second electrode (S21, S22). Electrically conductive structures (T11, T12, T21, T22) extend away from one or more of the electrodes (S11, S12, S21, S22) for electrically connecting at least two of the electrodes (S11, S12, S21, S22). The waveguides (W1, W2) and the electrodes (S11, S12, S21, S22) originate from a pre-fabrication process. The waveguides (W1, W2) are poled by a poling (P) originating from a poling process.

Abstract: Method for the detection of a conformational state of a protein being in a complex mixture of further proteins and other biomolecules, wherein the protein has been subjected to a condition inducing a structural change, including: limited proteolysis of the extract mixture under a condition in which the protein is in the original conformational state to be detected leading to a first fragment sample; directly followed by (2) removal of large peptides and proteins or other biomolecules from said first fragment sample to form an enriched fragment sample; (3) analytical analysis of the enriched fragment sample for the determination of fragments characteristic of having been the result of the limited proteolysis of (1) as well as remaining after the removal (2) for the determination of the conformational state of said at least one protein.

Abstract: One embodiment of the present invention sets forth a technique for generating actuation values based on a target shape such that the actuation values cause a simulator to output a simulated soft body that matches the target shape. The technique includes inputting a latent code that represents a target shape and a point on a geometric mesh into a first machine learning model. The technique further includes generating, via execution of the first machine learning model, one or more simulator control values that specify a deformation of the geometric mesh, where each of the simulator control values is based on the latent code and corresponds to the input point, and generating, via execution of the simulator, a simulated soft body based on the one or more simulator control values and the geometric mesh. The technique further includes causing the simulated soft body to be outputted to a computing device.

Abstract: The present invention provides additive manufacturing compositions, also referred as “inks” in the field of additive manufacturing, which can be fine-tuned with respect to porosity by varying the intensity of the photopolymerisation light source and which can further be used to obtain objects out of glasses, ceramics or glass-ceramics and their respective alloys.