Abstract: In some implementations, a load-balancing system may identify one or more computational tasks. The load-balancing system may identify a plurality of candidate servers in a load-balancing server pool. The load-balancing system may identify one or more servers by selectively pruning the plurality of candidate servers. The load-balancing system may assign the one or more computational tasks to the one or more servers.

Abstract: The current disclosure provides for a method for stratifying patients based on their predicted efficacy to an immunotherapy. Accordingly, provided herein is a method for treating a subject for brain cancer, the method comprising administering to the subject an immunotherapy, wherein the subject has been determined be negative or low for an interferon gamma activation response in a biological sample from the patient. Also described is a method for predicting patient outcomes and/or for predicting the effectiveness of an immunotherapy for treating brain cancer in a subject in need thereof, the method comprising determining an interferon gamma activation response from a biological sample from the subject. Also provided is a method for evaluating a subject having brain cancer, the method comprising determining an interferon gamma activation response in a biological sample from the subject.

Abstract: In some implementations, a load-balancing system may identify one or more computational tasks. The load-balancing system may identify a plurality of candidate servers in a load-balancing server pool. The load-balancing system may identify one or more servers by selectively pruning the plurality of candidate servers. The load-balancing system may assign the one or more computational tasks to the one or more servers.

Abstract: In some implementations, a device may identify respective sets of unique values for multiple dimensions of a multidimensional data structure. The device may identify a plurality of subsets of permutations of a set of permutations of the unique values. The plurality of subsets of permutations are to be processed in parallel. The device may obtain, based on processing the plurality of subsets of permutations in parallel, respective data associated with each permutation of the plurality of subsets of permutations. The data for a permutation, of the plurality of subsets of permutations, is obtained based on respective unique values for the permutation that are determined independently of another permutation of the plurality of subsets of permutations.

Abstract: In some implementations, a device may identify respective sets of unique values for multiple dimensions of a multidimensional data structure. The device may identify a plurality of subsets of permutations of a set of permutations of the unique values. The plurality of subsets of permutations are to be processed in parallel. The device may obtain, based on processing the plurality of subsets of permutations in parallel, respective data associated with each permutation of the plurality of subsets of permutations. The data for a permutation, of the plurality of subsets of permutations, is obtained based on respective unique values for the permutation that are determined independently of another permutation of the plurality of subsets of permutations.

Abstract: In some implementations, a device may identify respective sets of unique values for multiple dimensions of a multidimensional data structure. The device may identify a plurality of subsets of permutations of a set of permutations of the unique values. The plurality of subsets of permutations are to be processed in parallel. The device may obtain, based on processing the plurality of subsets of permutations in parallel, respective data associated with each permutation of the plurality of subsets of permutations. The data for a permutation, of the plurality of subsets of permutations, is obtained based on respective unique values for the permutation that are determined independently of another permutation of the plurality of subsets of permutations.

Abstract: In some implementations, a device may identify respective sets of unique values for multiple dimensions of a multidimensional data structure. The device may identify a plurality of subsets of permutations of a set of permutations of the unique values. The plurality of subsets of permutations are to be processed in parallel. The device may obtain, based on processing the plurality of subsets of permutations in parallel, respective data associated with each permutation of the plurality of subsets of permutations. The data for a permutation, of the plurality of subsets of permutations, is obtained based on respective unique values for the permutation that are determined independently of another permutation of the plurality of subsets of permutations.

Abstract: A separator for separating solids from a fluid including a tray assembly, the tray assembly including a plurality of nested tray units which define a separator axis and are spaced apart from one another along the separator axis, wherein each tray unit includes comprising an inner surface facing the separator axis 16 extending outwards, away from an aperture in the tray unit disposed at the separator axis, wherein the inner surface comprises an inner portion and an outer portion, wherein the inner portion is disposed between the aperture and the outer portion, and wherein the gradient of the outer portion is greater than the gradient of the inner portion.

Abstract: A separator for separating solids from a fluid including a tray assembly, the tray assembly including a plurality of nested tray units which define a separator axis and are spaced apart from one another along the separator axis, wherein each tray unit includes comprising an inner surface facing the separator axis 16 extending outwards, away from an aperture in the tray unit disposed at the separator axis, wherein the inner surface comprises an inner portion and an outer portion, wherein the inner portion is disposed between the aperture and the outer portion, and wherein the gradient of the outer portion is greater than the gradient of the inner portion.

Abstract: The present invention provides a method of selecting operational parameters of a communication network. The method is characterised by searching the operational parameter space using a multiple objective simulated annealing (MOSA) process, wherein the objectives are based upon performance indicators (PIs) of the communication network. Moreover, the MOSA process generates an archive of estimated values of a Pareto front, and employs a dominance-based energy function. The present invention thus provides the benefit of enabling assessment of different estimated optimal trade-offs between multiple objectives.