Details, Fiction and abubakar
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Dr. Abubakar’s investigate seeks to boost knowledge of tumor biology and its impact on treatment reaction and medical outcomes by adopting an ecosystem approach that experiments both equally the tumor and TME as dynamically interconnected parts from the tumor-associated ecosystem. By leveraging AI, along side many laboratory staining methods, He's doing deep phenotypic profiling of tumor tissues to uncover novel attributes which might be connected with epidemiological and clinical facts to inform prognosis and/or procedure determination-creating for screening-detectable cancers.
Fault location in meshed electricity networks by using hybrid sparse latest and voltage measurements in addition to RSFCL
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Improved present-day managed doubly fed induction generator design with grid integration under sub and Tremendous synchronous problems
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Enhancement of fault journey as a result of capability of DFIG-based mostly wind turbine units utilizing superconducting fault existing limiter
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With the expanding uptake of populace-primarily based most cancers screening systems world wide, 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 all-natural record scientific tests into screening-detectable cancers. Accordingly, Dr. Abubakar’s integrative investigate software in computational pathoepidemiology is centered on advancing scientific comprehension in to the purpose of tissue ecosystem disruption inside the etiology, natural historical past, tumor heterogeneity, and scientific outcomes of screening-detectable cancers.
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SC currents minimization in dispersed era embedded distribution networks with ideal application of FCLs
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