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Dr. Abubakar’s investigate seeks to further improve idea of tumor biology and its effect on remedy response and scientific results by adopting an ecosystem technique that reports equally the tumor and TME as dynamically interconnected elements from the tumor-involved ecosystem. By leveraging AI, at the side of many laboratory staining ways, He's undertaking deep phenotypic profiling of tumor tissues to uncover novel characteristics which can be linked with epidemiological and medical information to tell prognosis and/or treatment method choice-earning for screening-detectable cancers.
Fault site in meshed electrical power networks by using hybrid sparse latest and voltage measurements in addition to RSFCL
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Improved present controlled doubly fed induction generator product with grid integration less than sub and Tremendous synchronous situations
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He features a eager nonetheless supporting Mindset toward other professionals. I am very self-assured that He'll develop properly in his subject. I wish him best of luck during his long run pursuits.”
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While using the increasing uptake of inhabitants-centered most cancers screening systems all over the world, 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 increase, underscoring the need for all-natural history experiments into screening-detectable cancers. Appropriately, Dr. Abubakar’s integrative study application in computational pathoepidemiology is focused on advancing scientific understanding in the part of tissue ecosystem disruption during the etiology, normal history, 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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