Abstract: A detergent product containing a detergent composition is provided.

Abstract: The present disclosure relates to an injection device for expelling of a number of preset or user-selectable doses of a medicament, the injection device comprising: an elongated housing extending along a longitudinal axis, and a rotatable member and a counterpart member each comprising a first mechanical code and a second mechanical code, respectively. For setting of a dose the rotatable member is rotatable relative to the housing and relative to the counterpart member. During setting of the dose the rotatable member is constrained along the longitudinal axis relative to the housing or relative to the counterpart member. For expelling of a dose one of the rotatable member and the counterpart member is displaceable along the longitudinal axis into an expelling position relative to the other one of the rotatable member and the counterpart member only when the first mechanical code is aligned with the second mechanical code.

Abstract: A nickel-based alloy composition consisting, in weight percent, of: 4.0 to 5.6% aluminium, 0.0 to 1.0% titanium, 0.0 to 4.0% niobium, 0.0 to 11.9% tantalum, 2.0 to 12.7% tungsten, 0.0 to 3.0% molybdenum, 0.0 to 22.0% cobalt, 6.0 to 16.7% chromium, 0.02 to 0.35% carbon, 0.001 to 0.2% boron, 0.00 to 0.5% zirconium, 0.0 to 3.0% rhenium, 0.0 to 2.0% ruthenium, 0.0 to 3.0% iridium, 0.0 to 0.5% vanadium, 0.0 to 1.0% palladium, 0.0 to 1.0% platinum, 0.0 to 0.5% silicon, 0.0 to 0.1% yttrium, 0.0 to 0.1% lanthanum, 0.0 to 0.1% cerium, 0.0 to 0.003% sulphur, 0.0 to 0.25% manganese, 0.0 to 0.1 magnesium, 0.0 to 4.0% iron, 0.0 to 0.5% copper, 0.0 to 1.0% hafnium, the balance being nickel and incidental impurities, wherein the following equations are satisfied in which WNb, and WTa are the weight percent of niobium and tantalum respectively 1.1?0.3WNb+0.15WTa.

Abstract: In the disclosed systems and methods for characterizing a cancer condition of a tissue in a subject, a computer system inputs information into an ensemble model. The information includes, for each respective class of radiomics features in a plurality of classes of radiomics features, a corresponding value for each respective radiomic feature in a corresponding plurality of radiomics features of the respective class of radiomics features obtained from a medical imaging dataset. The ensemble model comprises a plurality of component models. The computer system obtains as output from each respective component model in the plurality of component models a corresponding component prediction for the cancer condition, thereby obtaining a plurality of component predictions for the cancer condition. The computer system combines the plurality of component predictions to obtain as output of the ensemble model a characterization of the cancer condition.

Abstract: An implant includes a body including a substrate and a bone interfacing lattice disposed on the substrate. The bone interfacing lattice includes at least two layers of elongate curved structural members. In addition, the at least two layers of elongate curved structural members include a first layer adjacent the substrate and a second layer adjacent the first layer. Also, the first layer has a first deformability and the second layer has a second deformability, wherein the second deformability is greater than the first deformability. Further, one or more of the elongate curved structural members may have a spiraling geometry.

Abstract: Blockchain-backed redistributable electronic content components is created and distributed. These techniques provider greater computer security and authentication controls, in various embodiments. An electronic content component associated with a first entity and a first set of actions is created. The electronic content component is published, and the first set of actions and a block representing the electronic content component are added to a blockchain. A second entity requests use of the electronic content component and a distribution agreement between the first and second entities associated with a second set of actions is created. The second set of actions and a block representing the distribution agreement are added to a blockchain. The electronic content component and distribution agreement are validated based on the blockchain, and custom content including the electronic content component is published.

Abstract: This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated.

Abstract: The present invention relates to copolymer formulations of poly(itaconic acid-co-2-acrylamido-2-methylpropane sulfonic acid) for dishwasher detergent compositions with a controlled amount of a second polymeric component.

Abstract: This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated.

Abstract: A platinum alloy composition consisting, in weight percent, of: 0.0 to 10.0 gold, 0.0 to 5.0 cobalt, 0.0 to 10.0 copper, 0.0 to 7.0 iron, 0.0 to 4.0 gallium, 0.0 to 3.0 indium, 0.0 to 5.0 iridium, 0.0 to 10.0 manganese, 0.0 to 7.0 nickel, 0.0 to 15.0 palladium, 0.0 to 5.0 rhenium, 0.0 to 5.0 rhodium, 0.0 to 10.0 ruthenium, 0.0 to 3.0 tin, 85.0 or more platinum and incidental impurities, wherein two or more of gallium, indium and tin are present in an amount of 0.1 or more, wherein the following equation is satisfied in which Wco, WCu, WFe, WGa, WIn, WNi, WPd, WSn, WRh, WIr, WAu, WRu, WRe, and WMn are the weight percent of cobalt, copper, iron, gallium, indium, nickel, palladium, tin, rhodium, iridium, gold, ruthenium, rhenium, and manganese in the alloy respectively 60+WPd*2.5+WRh*3.4+WIr*6.455+WAu*11.93+WRu*13.241+WCu*14.328+WRe*16.6+WNi*16.9+WMn*18.48+WCo*18.69+WFe*21.879+WIn*29+WSn*28.207+WGa*42.

Abstract: This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated.

Abstract: This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated.

Abstract: Blockchain-backed redistributable electronic content components is created and distributed. These techniques provider greater computer security and authentication controls, in various embodiments. An electronic content component associated with a first entity and a first set of actions is created. The electronic content component is published, and the first set of actions and a block representing the electronic content component are added to a blockchain. A second entity requests use of the electronic content component and a distribution agreement between the first and second entities associated with a second set of actions is created. The second set of actions and a block representing the distribution agreement are added to a blockchain. The electronic content component and distribution agreement are validated based on the blockchain, and custom content including the electronic content component is published.

Abstract: A system and method for controlling power to a water heater. The method comprises providing the water heater in a locked state, wherein at least one heating element of the water heater is inoperable when the water heater is in the locked state, coupling a digital key module to a communications port of the water heater, and receiving a digital key from the digital key module through the communications port. The method comprises coupling an electrical grid controller to the water heater through the communications port and placing the water heater in an unlocked state, wherein the at least one heating element of the water heater is operable when the water heater is in the unlocked state.

Abstract: Methods and systems are presented for creating and distributing blockchain-backed redistributable electronic content components. These techniques provider greater computer security and authentication controls, in various embodiments. An electronic content component associated with a first entity and a first set of actions is created. The electronic content component is published, and the first set of actions and a block representing the electronic content component are added to a blockchain. A second entity requests use of the electronic content component and a distribution agreement between the first and second entities associated with a second set of actions is created. The second set of actions and a block representing the distribution agreement are added to a blockchain. The electronic content component and distribution agreement are validated based on the blockchain, and custom content including the electronic content component is published.

Abstract: Disclosed are methods of obtaining clonal seeds, methods of plant cloning, methods of screening for maternal plants that produce clonal seeds asexually and methods of increasing yield of clonal seeds. Also disclosed are constructs comprising a nucleic acid that may silence the activity of a RNA-dependent DNA methylation pathway gene. Further disclosed are maternal plants comprising a construct wherein the construct comprises an exogenous nucleic acid sequence, wherein the construct renders the maternal plant defective for RNA-dependent DNA methylation.

Abstract: A nickel-based alloy composition consisting, in weight percent, of: 1.5 to 4.5% aluminium, 1.1 to 3.4% titanium, 0.0 to 4.0% niobium, 0.0 to 5.2% tantalum, 0.9 to 6.6% tungsten, 0.0 to 3.0% molybdenum, 0.0 to 24.0% cobalt, 12.5 to 20.6% chromium, 0.02 to 0.15% carbon, 0.001 to 0.015% boron, 0.0 to 0.1% zirconium, 0.0 to 3.0% rhenium, 0.0 to 2.0% ruthenium, 0.0 to 3.0% iridium, 0.0 to 0.5% vanadium, 0.0 to 1.0% palladium, 0.0 to 1.0% platinum, 0.0 to 0.5% silicon, 0.0 to 0.1% yttrium, 0.0 to 0.1% lanthanum, 0.0 to 0.1% cerium, 0.0 to 0.003% sulphur, 0.0 to 0.25% manganese, 0.0 to 0.1 magnesium, 0.0 to 5.0% iron, 0.0 to 0.5% copper, 0.0 to 1.0% hafnium, the balance being nickel and incidental impurities, wherein the following equations are satisfied in which WAl, WTi, WNb, WTa and WW are the weight percent of aluminium, titanium, niobium, tantalum and tungsten in the alloy respectively 0.65?0.3 WNb+0.15 W 3.6?WAl+0.5 WTi+0.3 WNb+0.15 WTa?5.7 WTa+0.92WW?6.1.

Abstract: Disclosed are methods of obtaining clonal seeds, methods of plant cloning, methods of screening for maternal plants that produce clonal seeds asexually and methods of increasing yield of clonal seeds. Also disclosed are constructs comprising a nucleic acid that may silence the activity of a RNA-dependent DNA methylation pathway gene. Further disclosed are maternal plants comprising a construct wherein the construct comprises an exogenous nucleic acid sequence, wherein the construct renders the maternal plant defective for RNA-dependent DNA methylation.

Abstract: A nickel-based alloy composition consisting, in weight percent, of: 4.0 to 5.6% aluminium, 0 0 to 1.0% titanium, 0.0 to 4.0% niobium, 0.0 to 11.9% tantalum, 2.0 to 12.7% tungsten, 0.0 to 3.0% molybdenum, 0.0 to 22.0% cobalt, 6.0 to 16.7% chromium, 0.02 to 0.35% carbon, 0.001 to 0.2% boron, 0.00 to 0.5% zirconium, 0.0 to 3.0% rhenium, 0.0 to 2.0% ruthenium, 0.0 to 3.0% iridium, 0.0 to 0.5% vanadium, 0.0 to 1.0% palladium, 0.0 to 1.0% platinum, 0.0 to 0.5% silicon, 0.0 to 0.1% yttrium, 0.0 to 0.1% lanthanum, 0.0 to 0.1% cerium, 0.0 to 0.003% sulphur, 0.0 to 0.25% manganese, 0.0 to 0.1 magnesium, 0.0 to 4.0% iron, 0.0 to 0.5% copper, 0.0 to 1.0% hafnium, the balance being nickel and incidental impurities, wherein the following equations are satisfied in which WNb, and WTa are the weight percent of niobium and tantalum respectively 1.1?0.3WNb+0.15WTa.