Details, Fiction and abubakar
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Dr. Abubakar’s research seeks to further improve idea of tumor biology and its effect on cure reaction and medical outcomes by adopting an ecosystem technique that reports the two the tumor and TME as dynamically interconnected elements in the tumor-related ecosystem. By leveraging AI, in conjunction with quite a few laboratory staining techniques, he is performing deep phenotypic profiling of tumor tissues to uncover novel features which might be connected with epidemiological and medical information to inform prognosis and/or treatment final decision-generating for screening-detectable cancers.
Fault area in meshed power networks by making use of hybrid sparse existing and voltage measurements together with RSFCL
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Enhanced existing controlled doubly fed induction generator product with grid integration less than sub and Tremendous synchronous problems
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Advancement of fault ride by way of capacity of DFIG-primarily based wind turbine programs using superconducting fault existing limiter
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Along with the rising uptake of population-based 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 likely to carry on to rise, underscoring the necessity for organic history experiments into screening-detectable cancers. Accordingly, Dr. Abubakar’s integrative research method in computational pathoepidemiology is focused on advancing scientific being familiar with to the role of tissue ecosystem disruption from the etiology, normal history, tumor heterogeneity, and medical results of screening-detectable cancers.
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SC currents minimization in distributed technology embedded distribution networks with ideal application of FCLs
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