Abstract: The present invention relates to methods for predicting T cell epitopes useful for vaccination. In particular, the present invention relates to methods for predicting whether modifications in peptides or polypeptides such as tumor-associated neoantigens are immunogenic and, in particular, useful for vaccination, or for predicting which of such modifications are most immunogenic and, in particular, most useful for vaccination. The methods of the invention may be used, in particular, for the provision of vaccines which are specific for a patient's tumor and thus, in the context of personalized cancer vaccines.

Abstract: Techniques are disclosed for changing the identities of faces in images. In embodiments, a tunable model for changing facial identities in images includes an encoder, a decoder, and dense layers that generate either adaptive instance normalization (AdaIN) coefficients that control the operation of convolution layers in the decoder or the values of weights within such convolution layers, allowing the model to change the identity of a face in an image based on a user selection. A separate set of dense layers may be trained to generate AdaIN coefficients for each of a number of facial identities, and the AdaIN coefficients output by different sets of dense layers can be combined to interpolate between facial identities. Alternatively, a single set of dense layers may be trained to take as input an identity vector and output AdaIN coefficients or values of weighs within convolution layers of the decoder.

Abstract: A system includes a computing platform having a hardware processor, and a system memory storing a software code and a content labeling predictive model. The hardware processor is configured to execute the software code to scan a database to identify content assets stored in the database, parse metadata stored in the database to identify labels associated with the content assets, and generate a graph by creating multiple first links linking each of the content assets to its corresponding label or labels. The hardware processor is configured to further execute the software code to train, using the graph, the content labeling predictive model, to identify, using the trained content labeling predictive model, multiple second links among the content assets and the labels, and to annotate the content assets based on the second links.

Abstract: According to one implementation, a pixel error detection system includes a hardware processor and a system memory storing a software code. The hardware processor is configured to execute the software code to receive an input image, to mask, using an inpainting neural network (NN), one or more patch(es) of the input image, and to inpaint, using the inpainting NN, the masked patch(es) based an input image pixels neighboring each of the masked patch(es). The hardware processor is configured to further execute the software code to generate, using the inpainting NN, a residual image based on differences between the inpainted masked patch(es) and the patch(es) in the input image and to identify one or more anomalous pixel(s) in the input image using the residual image.

Abstract: The present invention lies in the field of simulation systems for medical treatments, in particular for treatments carried out on dialysis machines. To do so, a method with which medical treatments can be performed and evaluated without the involvement of real human patients is proposed.

Abstract: In order to be able to adapt a manual dosing device (1), in particular a pipette (2), to differently sized hand dimensions, the manual dosing device (1) at whose main body (3) at least one grip (5) or exchangeable grip is releasable, fastenable or fastened is proposed. Adaptation of the manual dosing device (1) to users having different hand sizes can be performed by removing the grip (5) or by changing the grip (5) and replacing the grip (5) with a grip (5) having different dimensions (FIG. 1).

Abstract: This disclosure includes ice packs (10) that comprise paper and absorbent material (22A, 22), and also includes various methods of adding liquid to, freezing, shipping, and/or using such ice packs (10). Some of the ice packs (10) of this disclosure have a body (14) that includes first and second layers (54, 58) of paper and one or more side panels (66A) coupled thereto such that the body (14) is expandable. The absorbent material (22A, 22) of some of the ice packs (10) of this disclosure comprises a laminate having an inner layer (70A, 70B, 70C, 70) of superabsorbent polymer disposed between first and second outer layers (78), where the first outer layer (74) comprises tissue and the second outer layer (78) comprises at least one of a tissue and a carded nonwoven.

Abstract: An operation checking unit for a dialysis apparatus (such as a hemodialysis or peritoneal dialysis machine) is disclosed which comprises an identification unit which is configured to detect a user identity of a user. The operation checking unit also comprises a sensor unit which is configured to detect an operating action of the identified user as an ACTUAL-operation data set, and a processing unit which is configured to compare the detected ACTUAL-operation data set with a DESIRED-operation data set stored in a memory in order to generate a user-specific message in the event of a discrepancy.

Abstract: The present disclosure relates to a pressure measuring line, with a connector to connect the pressure measuring line to a blood treatment apparatus, and to a membrane. In some embodiments, the pressure measuring line comprises at least two consecutive lumen sections, namely the first lumen section and the second lumen section. The first lumen section comprises a first lumen geometry and the second lumen section comprises a second lumen geometry, whereby the first lumen geometry and the second lumen geometry differ from each other in at least their diameters. Further, a monitoring method and devices are described.

Abstract: A scaling application estimates a downscaling kernel used to generate a downscaled image. The scaling application upscales the downscaled image based on the estimated downscaling kernel, thereby generating a higher resolution version of the downscaled image with minimal visual artifacts. The scaling application includes various networks that perform the above operations. A kernel mapping network generates a degradation map based on the estimated downscaling kernel. A degradation-aware generator network generates a reconstructed image based on the downscaled image and the degradation map. A kernel discriminator network generates an image delta that reflects visual artifacts present in the reconstructed image. The scaling application includes a parameter optimizer that iteratively modifies the estimated downscaling kernel to reduce visual artifacts indicated in the image delta.

Abstract: The present invention relates to a copolymer obtainable by copolymerization of (A) at least one unsaturated dicarboxylic acid or derivatives thereof, (B) at least one ?-olefin having from at least 6 up to and including 20 carbon atoms, (C) optionally at least one C3- to C20-alkyl ester of acrylic acid or methacrylic acid or a mixture of such alkyl esters and (D) optionally one or more further copolymerizable monomers other than monomers (A), (B) and (C), with a molar incorporation ratio of (A):(B):(C):(D) of 1:0.5 to 2.0:0 to less than 0.5:0 to 0.1 followed by the reaction with at least one dialkylamine (E), where the two alkyl radicals in the at least one dialkylamine (E) are independently alkyl radicals having at least 17 up to 30 carbon atoms.

Abstract: A data processing system includes a computing platform having a hardware processor and a memory storing a data compression software code. The hardware processor executes the data compression software code to receive a series of compression input data and encode a first compression input data of the series to a latent space representation of the first compression input data. The data compression software code further decodes the latent space representation to produce an input space representation of the first compression input data corresponding to the latent space representation, and generates f refined latent values for re-encoding the first compression input data based on a comparison of the first compression input data with its input space representation. The data compression software code then re-encodes the first compression input data using the refined latent values to produce a first compressed data corresponding to the first compression input data.

Abstract: The present invention relates to an apparatus (1) for holding a disposable medical item, in particular a dialyzer (2), plasma filter or adsorbent, for treating blood, a system (10) comprising such an apparatus, and a method for operating a disposable medical item for treating blood. A bearing device (4) is thereby configured to rotatably support the disposable item, and a drive device (5) is thereby configured to rotate the rotatably mounted disposable item around a longitudinal axis (L) extending substantially in a direction in which the blood flows through the disposable item when the disposable item is in operation. Alternatively or additionally, a sensor device (6) is configured to detect a rotation of the rotatably mounted disposable item around at least one rotational axis (L, Q), in particular around the longitudinal axis (L) and/or around a transverse axis (Q) running perpendicular to the longitudinal axis (L) and output corresponding sensor data.

Abstract: One example aspect of the present disclosure relates to a method. The method can include receiving, by one or more computing devices, an input related to power consumption. The method can include filtering, by the one or more computing devices, the received input. The method can include classifying, by the one or more computing devices, the filtered input into one zone of a plurality of zones. The method can include determining, by the one or more computing devices, a setting associated with the classified zone. The setting can determine power production during an idle setting. The method can include causing, by the one or more computing devices, an adjustment to the determined setting at a rate determined by a rate limit.

Abstract: A system includes a computing platform having a hardware processor and a memory storing a software code and a neural network (NN) having multiple layers including a last activation layer and a loss layer. The hardware processor executes the software code to identify different combinations of layers for testing the NN, each combination including candidate function(s) for the last activation layer and candidate function(s) for the loss layer. For each different combination, the software code configures the NN based on the combination, inputs, into the configured NN, a training dataset including multiple data objects, receives, from the configured NN, a classification of the data objects, and generates a performance assessment for the combination based on the classification. The software code determines a preferred combination of layers for the NN including selected candidate functions for the last activation layer and the loss layer, based on a comparison of the performance assessments.

Abstract: An endoscope assembly has an endoscope, having an optical waveguide and having an image guide, wherein the image guide is configured to be uninterrupted up to its proximal end and has an image guide interface at its proximal end for optical connection to an image capturing unit, an illumination unit having a light source and having an optical waveguide interface for optical connection of the light source to an optical waveguide, and an image capturing unit having an image sensor and having an image guide interface for optical connection of the image sensor to an image guide.

Abstract: Systems and methods are disclosed for generating a latent space residual. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining a target frame, obtaining a reconstructed frame, encoding the target frame into a latent space to generate a latent space target frame, encoding the reconstructed frame into the latent space to generate a latent space reconstructed frame, and generating a latent space residual based on the latent space target frame and the latent space reconstructed frame.

Abstract: According to one implementation, an image compression system includes a computing platform having a hardware processor and a system memory storing a software code. The hardware processor executes the software code to receive an input image, transform the input image to a latent space representation of the input image, and quantize the latent space representation of the input image to produce multiple quantized latents. The hardware processor further executes the software code to encode the quantized latents using a probability density function of the latent space representation of the input image, to generate a bitstream, and convert the bitstream into an output image corresponding to the input image. The probability density function of the latent space representation of the input image is obtained based on a normalizing flow mapping of one of the input image or the latent space representation of the input image.

Abstract: A visualization module (1, 50, 100, 200), in particular for an endoscope (2), having an image sensor (3) and an illumination unit (4) for lighting a field of view of the image sensor (3), wherein the illumination unit (4) is arranged in the shadow of the image sensor (3) in the case of light that is incident perpendicularly on an end face (32) of the visualization module (1, 50, 100, 200), and the image sensor (3) and the illumination unit (4) are encapsulated at least partially in a transparent encapsulation material (5). A method for producing a visualization module (1, 50, 100, 200) is also provided.

Abstract: A process for increasing olefin production from refinery that processes hydrocarbon streams that are rich in aromatic compounds and includes steam cracking and hydrotreating an aromatically rich feedstock to produce a hydrotreated pyrolysis gasoline stream and light pyrolysis oil byproduct, saturating at least one additional naphtha/hydrocarbon stream together with the hydrotreated pyrolysis gasoline stream or together with the light pyrolysis oil byproducts to form a first naphthene stream, and steam cracking the first naphthene stream to produce olefins.