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Dr. Abubakar’s exploration seeks to boost knowledge of tumor biology and its impact on treatment reaction and medical outcomes by adopting an ecosystem approach that experiments both of those the tumor and TME as dynamically interconnected parts in the tumor-related ecosystem. By leveraging AI, in conjunction with quite a few laboratory staining approaches, He's carrying out deep phenotypic profiling of tumor tissues to uncover novel features which might be connected with epidemiological and scientific knowledge to inform prognosis and/or treatment final decision-producing for screening-detectable cancers.
Enhancement of reference latest calculation scheme for grid-facet converter for the duration of unbalanced faults
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Enhanced existing controlled doubly fed induction generator product with grid integration beneath sub and super synchronous conditions
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He contains a eager however serving to attitude toward other professionals. I am fairly self-confident that He'll mature nicely in his discipline. I desire him Better of luck all over his future pursuits.”
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Along with the rising uptake of population-centered most cancers screening plans all over the Muhammad Abubakar Maken world, the incidences of benign and precursor lesions on tissue biopsies performed for suspected breast, colorectal, prostate, or lung cancers are possible to continue to increase, underscoring the necessity for all-natural record scientific tests into screening-detectable cancers. Accordingly, Dr. Abubakar’s integrative investigate software in computational pathoepidemiology is focused on advancing scientific knowledge in to the job of tissue ecosystem disruption while in the etiology, all-natural record, tumor heterogeneity, and clinical results of screening-detectable cancers.
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SC currents minimization in dispersed era embedded distribution networks with ideal application of FCLs
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