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The subsequent articles are merged in Scholar. Their mixed citations are counted only for the 1st article.
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Dr. Abubakar’s exploration seeks to boost comprehension of tumor biology and its effect on treatment method response and clinical outcomes by adopting an ecosystem method that reports both of those the tumor and TME as dynamically interconnected components in the tumor-connected ecosystem. By leveraging AI, together with numerous laboratory staining methods, he is performing deep phenotypic profiling of tumor tissues to uncover novel features which might be connected with epidemiological and medical knowledge to inform prognosis and/or treatment decision-earning for screening-detectable cancers.
Improvement of reference present calculation plan for grid-aspect converter in the course of unbalanced faults
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This "Cited by" rely consists of citations to the subsequent content articles in Scholar. Those marked * may be diverse from the report during the profile.
Improved present managed doubly fed induction generator product with grid integration underneath sub and super synchronous circumstances
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Improvement of fault journey through functionality of DFIG-centered wind turbine systems employing superconducting fault present-day limiter
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With the expanding uptake of populace-primarily based most cancers screening systems throughout the world, the incidences of benign and precursor lesions on tissue biopsies done for suspected breast, colorectal, prostate, or lung cancers are probably to carry on to rise, underscoring the necessity for normal background studies into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative study application in computational pathoepidemiology is focused on advancing scientific understanding to the function of tissue ecosystem disruption within the etiology, purely natural historical past, tumor heterogeneity, and scientific outcomes of screening-detectable cancers.
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SC currents minimization in distributed technology embedded distribution networks with best application of FCLs
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