Publications by authors named "B Solanki"

Head and Neck squamous cell carcinoma is an immunosuppressive state. HNSCC evades immune responses through multiple resistance mechanisms. Because of better understanding of interaction between tumour microenvironment and immune regulators, there is increasing interest in role of immunotherapy as a treatment modality of HNSCC.

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Background: Access to essential healthcare services is pertinent to the achievement of universal health coverage in any nation. The COVID-19 lockdown was used to mitigate the spread of the pandemic. Consequently, there was a reduction in the Utilisation of Basic Healthcare Services (UBHS) in diverse dimensions.

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Cryo-electron tomography (cryo-ET) is confronted with the intricate task of unveiling novel structures. General class discovery (GCD) seeks to identify new classes by learning a model that can pseudo-label unannotated (novel) instances solely using supervision from labeled (base) classes. While 2D GCD for image data has made strides, its 3D counterpart remains unexplored.

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Health system resilience refers to the capacity of a health system to effectively anticipate, assimilate, adjust to and recuperate from unforeseen disruptions and pressures. Evidence indicates that low- and middle-income countries (LMICs) have a double burden of dealing with the existing shortage of health resources in managing both non-emergency care and emergency care during epidemics. Intersectoral collaboration plays a pivotal role in managing crises such as pandemics.

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Article Synopsis
  • - Oxy-fuel circulating fluidized bed combustion is a cutting-edge technology that captures low greenhouse gases and pollutants, emphasizing the importance of in-situ desulfurization using calcium-based sorbents.
  • - The paper reviews how changes in operating conditions affect desulfurization compared to traditional air combustion and suggests a detailed understanding of the process can help eliminate the need for additional flue gas desulfurization systems.
  • - It highlights the relevance of factors like fluidization characteristics and reaction kinetics on desulfurization, proposing that a combination of advanced modeling and machine learning can enhance efficiency and flexibility, while focusing on environmental and economic benefits.
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