Abstract: A microreactor includes: a substrate (2; 102; 202) made of semiconductor material; a plurality of wells (5; 105; 205) separated by walls (6; 106; 206) in the substrate (2; 102; 202); a dielectric structure (7; 107; 207a, 207b) coating at least the top of the walls (6; 106; 206); a cap (3; 103; 203), bonded to the substrate (2; 102; 202) and defining a chamber (10; 110; 210) above the wells (5; 105; 205); and a biasing structure (2, 8, 13; 102, 108, 113; 202, 208a, 208b, 213), configured for setting up a voltage (VB) between the substrate (2; 102; 202) and the chamber (10; 110; 210).

Abstract: A cartridge for an optical analysis, including a supporting body, having a first face and a second face opposite to one another; a plurality of wells adapted to receive a biological solution to be analyzed, the wells extending in the supporting body on the first face; at least one biocompatible layer extending inside each well; an anti-reflection layer extending on the first face outside the wells; and a reflection layer extending inside each well. Methods of using same are also provided.

Abstract: An embodiment of a method for scheduling execution of jobs with the resources of a Multi-Core system envisages producing a system model based upon agents representing the jobs, said agents being able to implement a strategy for scheduling execution of the jobs with the resources of the Multi-Core system via respective available moves corresponding to the choice of a given resource of the Multi-Core system for execution of a given job. The agents are configured for implementing said strategy as strategy that integrates MiniMax and Nash-equilibrium strategies, for example operating in an iterative way, identifying an optimal solution deriving from the iteration. The strategy can be implemented by maximizing the probability of optimizing the time of completion of a given job for one of the agents.

Abstract: An optical analyzer, configured to receiving a cartridge for biochemical analyses including a plurality of wells, and carrying out fluorescence analysis of the cartridge, in particular of the wells. The analyzer comprises a control unit (microprocessor and memory) configured to: (a) acquiring an image associated to the fluorescence emitted by the cartridge; (b) identifying, in the image, pixels belonging to boundary lines of the wells by generating a black and white binary image; (c) recognizing, between the geometrical shapes identified in step (b), the ones that best approximate a reference geometrical shape identifying an ideal well; (d) acquiring, from the starting image, values of light intensity only in portions of the image itself that in turn correspond to the regions recognized in step (c); and (e) evaluating a state of advance and/or a result of the biochemical analysis on the basis of the values of light intensity acquired in step (d).

Abstract: A cartridge for an optical analysis, including a supporting body, having a first face and a second face opposite to one another; a plurality of wells adapted to receive a biological solution to be analyzed, the wells extending in the supporting body on the first face; at least one biocompatible layer extending inside each well; an anti-reflection layer extending on the first face outside the wells; and a reflection layer extending inside each well. Methods of using same are also provided.

Abstract: A microreactor includes: a substrate (2; 102; 202) made of semiconductor material; a plurality of wells (5; 105; 205) separated by walls (6; 106; 206) in the substrate (2; 102; 202); a dielectric structure (7; 107; 207a, 207b) coating at least the top of the walls (6; 106; 206); a cap (3; 103; 203), bonded to the substrate (2; 102; 202) and defining a chamber (10; 110; 210) above the wells (5; 105; 205); and a biasing structure (2, 8, 13; 102, 108, 113; 202, 208a, 208b, 213), configured for setting up a voltage (VB) between the substrate (2; 102; 202) and the chamber (10; 110; 210).

Abstract: A scheduler device schedules executions of jobs using resources of a computational grid. The scheduler is configured for identifying an equilibrium threshold between resources and jobs. Below the equilibrium threshold, the scheduler schedules the execution of the jobs using the resources of the computational grid according to Pareto-optimal strategies. Above the equilibrium threshold, the scheduler schedules the execution of the jobs using the resources of the computational grid according to Nash-equilibrium strategies.

Abstract: An embodiment of a method for scheduling execution of jobs with the resources of a Multi-Core system envisages producing a system model based upon agents representing the jobs, said agents being able to implement a strategy for scheduling execution of the jobs with the resources of the Multi-Core system via respective available moves corresponding to the choice of a given resource of the Multi-Core system for execution of a given job. The agents are configured for implementing said strategy as strategy that integrates MiniMax and Nash-equilibrium strategies, for example operating in an iterative way, identifying an optimal solution deriving from the iteration. The strategy can be implemented by maximizing the probability of optimizing the time of completion of a given job for one of the agents.

Abstract: A scheduler device schedules executions of jobs using resources of a computational grid. The scheduler is configured for identifying an equilibrium threshold between resources and jobs. Below the equilibrium threshold, the scheduler schedules the execution of the jobs using the resources of the computational grid according to Pareto-optimal strategies. Above the equilibrium threshold, the scheduler schedules the execution of the jobs using the resources of the computational grid according to Nash-equilibrium strategies.