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Dr. Abubakar’s study seeks to improve understanding of tumor biology and its influence on cure response and clinical results by adopting an ecosystem technique that scientific studies each the tumor and TME as dynamically interconnected components of your tumor-affiliated ecosystem. By leveraging AI, along with a number of laboratory staining strategies, he is carrying out deep phenotypic profiling of tumor tissues to uncover novel features that could be linked with epidemiological and scientific knowledge to tell prognosis and/or treatment method choice-earning for screening-detectable cancers.
Progress of reference existing calculation plan for grid-side converter for the duration of unbalanced faults
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Enhanced latest managed doubly fed induction generator design with grid integration beneath sub and super synchronous circumstances
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Improvement of fault journey by means of capability of DFIG-based mostly wind turbine techniques working with superconducting fault present limiter
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Along with her expertise and commitment, she Muhammad Abubakar ensures that the information we provide meets the highest requirements for our valued community.
With all the escalating uptake of population-based most cancers screening packages worldwide, the incidences of benign and precursor lesions on tissue biopsies carried out for suspected breast, colorectal, prostate, or lung cancers are likely to carry on to rise, underscoring the necessity for pure background research into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative investigation plan in computational pathoepidemiology is centered on advancing scientific comprehension into your purpose of tissue ecosystem disruption within the etiology, purely natural historical past, tumor heterogeneity, and clinical results of screening-detectable cancers.
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SC currents minimization in dispersed era embedded distribution networks with optimum software of FCLs
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