The immune system protects the body against a wide range of infectious diseases and cancer by leveraging the efficiency of immune cells and lymphoid organs. Over the past decade, immune cell/organ therapies based on the manipulation, infusion, and implantation of autologous or allogeneic immune cells/organs into patients have been widely tested and have made great progress in clinical applicati...

Video segmentation assumes a major role in the context of object-based coding and description applications. Evaluating the adequacy of a segmentation result for a given application is a requisite both to allow the appropriate selection of segmentation algorithms as well as to adjust their parameters for optimal performance. Subjective testing, the current practice for the evaluation of video se...

In the management of bacterial infection, identification of the pathogen after growth remains essential, so that the most appropriate treatment can be proposed even before antibiotic susceptibility data are available. The strategy for most common pathogens requires Gram staining, simple tests (eg, determination of oxidase and catalase activity), and appropriate phenotypic tests that require com...

Reverse genetics research approaches require the availability of methods to rapidly generate specific mutants. Alternatively, where these methods are lacking, the construction of pre-characterized libraries of mutants can be extremely valuable. However, this can be complex, expensive and time consuming. Here, we describe a robust, easy to implement parallel sequencing-based method (Cartesian Po...

Accurate and fast simulation of particle physics processes is crucial for the high-energy community. Simulating interactions with detector both time consuming computationally expensive. With its proton-proton collision energy 13 TeV, Large Hadron Collider uniquely positioned to detect measure rare phenomena that can shape our knowledge new interactions. The High-Luminosity (HLLHC) upgrade will ...

Modelling the flow over terrain is a key element of wind resource assessments within energy industry. Existing modelling methods range from fast, low fidelity analytical models to time-consuming and computationally expensive high-fidelity Computational Fluid Dynamics (CFD) software. In this work, Grid-Kernel Neural Network approach has been developed used create surrogate emulate WAsP software,...

Gas turbine engines (GTE) are widely used in military and industrial applications. Accurate modeling is mandatory to advance GTE control. The present article investigates, experimentally theoretically, a detailed dynamic model of an electro-hydraulic system that controls variable geometry inlet guide vanes (VIGV) turboshaft GTE. A parametric study for the computationally expensive time-consumin...

Advances in machine learning technologies recent years have facilitated developments autonomous robotic systems. Designing these systems typically requires manually specified models of the system and world when using classical control-based strategies, or time consuming computationally expensive data-driven training learning-based strategies. Combination control strategies may mitigate both req...

Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 Measurement of solar radiance demands expensive devices to be used. Alternatively, estimator models are used instead. In this paper, a new method based on the empirical equations is introduced to estimate the monthly average daily global solar radiation on a horizontal surface. The proposed method uses Intelligent Water ...

traditional systems for olefin/paraffin separation, like low-temperature distillation, are expensive and very energy consuming, and therefore, alternative separation methods are desired. facilitated transport membranes are new tools for this separation to be substituted in large scale separation of olefin-paraffin mixtures. to design a membrane process for olefin-paraffin separation, equilibriu...