mabubakarmaken No Further a Mystery
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Dr. Abubakar’s analysis seeks to enhance understanding of tumor biology and its influence on cure response and clinical results by adopting an ecosystem tactic that scientific tests equally the tumor and TME as dynamically interconnected elements of your tumor-affiliated ecosystem. By leveraging AI, along with many laboratory staining ways, He's undertaking deep phenotypic profiling of tumor tissues to uncover novel characteristics that can be joined with epidemiological and medical data to tell prognosis and/or remedy choice-earning for screening-detectable cancers.
Development of reference recent calculation plan for grid-side converter through unbalanced faults
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Improved present-day managed doubly fed induction generator model with grid integration under sub and Tremendous synchronous problems
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Improvement of fault trip as a result of capability of DFIG-dependent wind turbine methods applying superconducting fault existing limiter
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Using the increasing uptake of inhabitants-dependent cancer screening plans worldwide, the incidences of benign and precursor lesions on tissue biopsies carried out for suspected breast, colorectal, prostate, or lung cancers are probably to continue to increase, underscoring the need for all-natural background research into screening-detectable cancers. Accordingly, Dr. Abubakar’s integrative research application in computational pathoepidemiology is centered on advancing scientific knowing to the part of tissue ecosystem disruption inside the etiology, all-natural history, tumor heterogeneity, and medical outcomes of screening-detectable cancers.
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SC abubakar currents minimization in distributed technology embedded distribution networks with exceptional software of FCLs
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