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Dr. Abubakar’s investigation seeks to enhance understanding of tumor biology and its influence on cure response and clinical results by adopting an ecosystem strategy that research both the tumor and TME as dynamically interconnected factors on the tumor-related ecosystem. By leveraging AI, along with several laboratory staining techniques, he is accomplishing deep phenotypic profiling of tumor tissues to uncover novel capabilities that may be joined with epidemiological and medical details to inform prognosis and/or treatment determination-creating for screening-detectable cancers.
Enhancement of reference existing calculation plan for grid-facet converter for the duration of unbalanced faults
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Improved recent managed doubly fed induction generator model with grid integration below sub and super synchronous circumstances
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Enhancement of fault experience via ability of DFIG-centered wind turbine methods employing superconducting fault present-day limiter
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Ambrina has participated in several conferences and workshops on baby psychology, cognitive psychology, and educational psychology which were organized in Pakistan.
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SC currents minimization in distributed technology embedded distribution networks with best application of FCLs
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