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Dr. Abubakar’s analysis seeks to improve idea of tumor biology and its effect on remedy response and scientific outcomes by adopting an ecosystem approach that experiments both equally the tumor and TME as dynamically interconnected elements of the tumor-involved ecosystem. By leveraging AI, along side many laboratory staining methods, He's doing deep phenotypic profiling of tumor tissues to uncover novel attributes which might be connected with epidemiological and scientific knowledge to inform prognosis and/or cure selection-earning for screening-detectable cancers.
Enhancement of reference existing calculation plan for grid-side converter for the duration of unbalanced faults
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Enhanced existing controlled doubly fed induction generator product with grid integration underneath sub and super synchronous circumstances
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Enhancement of fault experience via functionality of DFIG-dependent wind turbine systems making use of superconducting fault present-day limiter
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While using the expanding uptake of populace-based mostly cancer screening courses mabubakermaken throughout the world, the incidences of benign and precursor lesions on tissue biopsies done for suspected breast, colorectal, prostate, or lung cancers are most likely to carry on to rise, underscoring the necessity for purely natural heritage scientific studies into screening-detectable cancers. Accordingly, Dr. Abubakar’s integrative exploration software in computational pathoepidemiology is focused on advancing scientific being familiar with in the position of tissue ecosystem disruption within the etiology, purely natural historical past, tumor heterogeneity, and clinical results of screening-detectable cancers.
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SC currents minimization in dispersed era embedded distribution networks with optimum application of FCLs
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