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Dr. Abubakar’s research seeks to further improve idea of tumor biology and its influence on procedure reaction and medical outcomes by adopting an ecosystem solution that scientific tests both equally the tumor and TME as dynamically interconnected elements from the tumor-associated ecosystem. By leveraging AI, at the side of various laboratory staining ways, he is undertaking deep phenotypic profiling of tumor tissues to uncover novel characteristics that may be linked with epidemiological and scientific info to tell prognosis and/or treatment method selection-making for screening-detectable cancers.
Improvement of reference current calculation plan for grid-side converter during unbalanced faults
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Improved existing managed doubly fed induction generator design with grid integration underneath sub and Tremendous synchronous problems
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He includes a eager yet aiding Mind-set to other pros. I'm really assured that he will expand very well in his industry. I wish him best of luck throughout his potential pursuits.”
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With the expanding uptake of inhabitants-based mostly most cancers screening plans around the globe, the incidences of benign and precursor lesions on tissue biopsies performed for suspected breast, colorectal, prostate, or lung cancers are possible to carry on to rise, underscoring the necessity for normal background studies into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative investigation system in computational pathoepidemiology is centered on advancing scientific comprehension into the purpose of tissue ecosystem disruption inside the etiology, purely natural historical past, tumor heterogeneity, and scientific outcomes 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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