M Abubakar - An Overview
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Dr. Abubakar’s investigate seeks to boost knowledge of tumor biology and its impact on treatment reaction and clinical results by adopting an ecosystem tactic that reports the two the tumor and TME as dynamically interconnected components of your tumor-involved ecosystem. By leveraging AI, at the side of various laboratory staining ways, he is performing deep phenotypic profiling of tumor tissues to uncover novel features which might be connected with epidemiological and clinical knowledge to inform prognosis and/or cure determination-creating for screening-detectable cancers.
Development of reference existing calculation scheme for grid-aspect converter throughout unbalanced faults
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Enhanced present-day managed doubly fed induction generator design with grid integration underneath sub and super synchronous situations
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He features a keen still encouraging Mindset in direction of other gurus. I am very self-assured that He'll grow nicely in his discipline. I would like him Better of luck throughout his long term pursuits.”
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Along Muhammad Abubakar with the rising uptake of population-centered cancer screening applications around the world, the incidences of benign and precursor lesions on tissue biopsies executed for suspected breast, colorectal, prostate, or lung cancers are probable to continue to increase, underscoring the need for all-natural history experiments into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative study application in computational pathoepidemiology is centered on advancing scientific comprehending into your purpose of tissue ecosystem disruption inside the etiology, natural historical past, tumor heterogeneity, and clinical results of screening-detectable cancers.
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SC currents minimization in distributed generation embedded distribution networks with exceptional software of FCLs
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