Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designing a protein by jointly generating an amino acid sequence and a structure of the protein. In one aspect, a method comprises: generating data defining the amino acid sequence and the structure of the protein using a protein design neural network, comprising, for a plurality of positions in the amino acid sequence: receiving the current representation of the protein as of the current position: processing the current representation of the protein using the protein design neural network to generate design data for the current position that comprises: (i) data identifying an amino acid at the current position, and (ii) a set of structure parameters for the current position; and updating the current representation of the protein using the design data for the current position.

Abstract: A container comprises a cup and a sleeve. The cup comprises a base, a peripheral wall and a cup opening opposite the base. The sleeve comprises a base, a peripheral wall and a detached sleeve opening. The sleeve is connected around an outside of the cup, and is able to at least partially detach from the cup. The sleeve opening is dimensioned to fit inside the cup opening to engage an interior of the cup and define an interior volume between the cup and the sleeve.

Abstract: Cushion modules and cushion module components are provided for use with patient interfaces in respiratory therapy systems. In examples the seal-forming structures of the cushion modules are provided with a reduced thickness region which may provide improved patient comfort and/or improved manufacturing techniques, particularly when used in relation to patient interfaces combining two or more different materials. In some examples the cushion comprises a lap joint between two different materials.

Abstract: A patient interface includes a frame assembly including connectors operatively attachable to headgear, a cushion assembly provided to the frame assembly and including a seal-forming structure structured to form a seal with the patient's nose and/or mouth, and an air delivery connector provided to the frame assembly and operatively connected to an air delivery tube for supplying the air at positive pressure along an air flow path. The cushion assembly is structured to releasably connect to the frame assembly independently of the air delivery connector. The air delivery connector is structured to releasably connect to the frame assembly independently of the cushion assembly.

Abstract: There is described a two-terminal multi-level memristor element synthesised from binary memristors, which is configured to implement a variable resistance based on unary or binary code words. There is further described a circuit such as a synapse circuit implemented using a multi-level memristor element.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a predicted structure of a protein that is specified by an amino acid sequence. In one aspect, a method comprises: obtaining a multiple sequence alignment for the protein; determining, from the multiple sequence alignment and for each pair of amino acids in the amino acid sequence of the protein, a respective initial embedding of the pair of amino acids; processing the initial embeddings of the pairs of amino acids using a pair embedding neural network comprising a plurality of self-attention neural network layers to generate a final embedding of each pair of amino acids; and determining the predicted structure of the protein based on the final embedding of each pair of amino acids.

Abstract: A patient interface comprises a plenum chamber and a seal-forming structure. The seal-forming structure comprises a support structure arranged to support a sealing portion that is adapted to sealing engage the patient's face in use. The seal-forming structure may also include a seal biasing portion configured to inflate under pressurization within the cavity in the cushion assembly in use to extend the reach of the sealing portion and decouple the sealing portion from external forces.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining a predicted structure of a protein that is specified by an amino acid sequence. In one aspect, a method comprises: obtaining a multiple sequence alignment for the protein; determining, from the multiple sequence alignment and for each pair of amino acids in the amino acid sequence of the protein, a respective initial embedding of the pair of amino acids; processing the initial embeddings of the pairs of amino acids using a pair embedding neural network comprising a plurality of self-attention neural network layers to generate a final embedding of each pair of amino acids; and determining the predicted structure of the protein based on the final embedding of each pair of amino acids.

Abstract: A method of planning a coverage path to cover an area. The method includes a computing arrangement iteratively receiving, generating and displaying. The computing arrangement is configured to receive a range acceptable user-inputs. The receiving includes receiving user-input within the range of acceptable user-inputs. The generating includes generating a feasible coverage path based on the user-input. The displaying includes displaying at least some detail of the feasible coverage path.

Abstract: A patient interface includes a vent structure sized and shaped to maintain the therapeutic pressure in the plenum chamber in use. The vent structure has a vent body configured to direct bending movement in the plenum chamber. The vent body includes a surface with at least one connecting feature. The at least one connecting feature is spaced apart from an outermost edge of the surface. A dampening member is positioned in the vent body and is configured to decrease a noise output. A cover includes at least one complementary connecting feature configured to engage the at least connecting feature of the vent body. The at least one complementary connection feature is radially inside of and spaced apart from the outer diameter of the cover. The at least one connecting feature is configured to engage the at least one complementary connecting feature so that neither are visible in use.

Abstract: A patient interface comprises a plenum chamber and a seal-forming structure. The seal-forming structure comprises a support structure arranged to support a sealing portion that is adapted to sealing engage the patient's face in use. The seal-forming structure may also include a seal biasing portion configured to inflate under pressurization within the cavity in the cushion assembly in use to extend the reach of the sealing portion and decouple the sealing portion from external forces.

Abstract: A patient interface including a positioning and stabiliz-ing structure that is configured to maintain a first seal-forming structure and a second seal-forming structure in a therapeutically effective position. The positioning and stabilizing structure comprises a frame coupled to the plenum chamber. The frame includes a central portion coupled to the plenum chamber outside of the cavity. The frame also includes a pair of arms that extend away from the central portion in a posterior direction past the second seal-forming structure. The pair of arms are more flexible than the central portion. The positioning and stabilizing structure also includes headgear straps coupled to the frame, which configured to provide a ten-sile force to the first seal-forming structure and to the second seal-forming structure into the patient's face via the frame.

Abstract: A patient interface including a plenum chamber, a first seal-forming structure for forming a seal around the patient's mouth, and a second seal-forming structure for forming a seal around the patient's nares. The patient interface further includes at least one stopper rib disposed in the cavity of the plenum chamber spaced apart from the first seal-forming structure in a rest position. The first seal-forming structure configured to contact the at least one stopper rib in an operational position. The at least one stopper rib configured to oppose compression of the first seal-forming structure in an anterior direction. The second seal-forming structure is not configured to contact the at least one stopper rib.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting a structure of a protein that comprises a plurality of amino acid chains.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing protein design. In one aspect, a method comprises: processing an input characterizing a target protein structure of a target protein using an embedding neural network having a plurality of embedding neural network parameters to generate an embedding of the target protein structure of the target protein; determining a predicted amino acid sequence of the target protein based on the embedding of the target protein structure, comprising: conditioning a generative neural network having a plurality of generative neural network parameters on the embedding of the target protein structure; and generating, by the generative neural network conditioned on the embedding of the target protein structure, a representation of the predicted amino acid sequence of the target protein.

Abstract: A patient interface including a positioning and stabilizing structure that is configured to maintain a first seal-forming structure and a second seal-forming structure in a therapeutically effective position. The positioning and stabilizing structure comprises a frame coupled to the plenum chamber. The frame includes a central portion coupled to the plenum chamber outside of the cavity. The frame also includes a pair of arms that extend away from the central portion in a posterior direction past the second seal-forming structure. The pair of arms are more flexible than the central portion. The positioning and stabilizing structure also includes headgear straps coupled to the frame, which configured to provide a tensile force to the first seal-forming structure and to the second seal-forming structure into the patient's face via the frame.

Abstract: A patient interface may include a plenum chamber and a positioning and stabilising structure. The plenum chamber may include a seal-forming structure and a fascia portion. At least a medial portion of the fascia portion is flexible. In embodiments, the patient interface may include a rigidiser to control flexing of the fascia portion.

Abstract: This application relates to computing circuitry (200, 500, 600) for analogue computing. A plurality of current generators (201) are each configured to generate a defined current (ID1, ID2, . . . IDj) based on a respective input data value (D1, D2, . . . Dj). A memory array (202), having at least one set (204) of programmable-resistance memory cells (203), is arranged to receive the defined currents from each of the current generators at a respective signal line (206). Each set (204) of programmable-resistance memory cells (203) includes a memory cell associated with each signal line that, in use, can be connected between the relevant signal line and a reference voltage so as to generate a voltage on the signal line. An adder module (207) is coupled to each of the signal lines to generate a voltage at an output node (210) based on the sum of the voltages on each of the signal lines.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for predicting a structure of a protein comprising one or more chains. In one aspect, a method comprises: obtaining an initial multiple sequence alignment (MSA) representation; obtaining a respective initial pair embedding for each pair of amino acids in the protein; processing an input comprising the initial MSA representation and the initial pair embeddings using an embedding neural network to generate an output that comprises a final MSA representation and a respective final pair embedding for each pair of amino acids in the protein; and determining a predicted structure of the protein using the final MSA representation, the final pair embeddings, or both.