Publications by authors named "K M Inam Pal"

The mediastinal vasculature can be affected by various etiologies in cancer patients. Both direct and indirect sequela of cancer may result in life-threatening clinical presentations. Tumor growth may cause vessel narrowing and decreased blood flow from either extrinsic mass effect, invasion into the vascular wall, or tumor thrombus within the lumen.

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Article Synopsis
  • The use of high-throughput density functional theory (DFT) accelerates the search for new stable inorganic compounds, but the process remains costly due to the extensive search space.
  • To enhance these searches, recommendation engines based on elemental substitution, data mining, and neural networks have been developed and compared, with neural networks proving to be the most effective for identifying stable Heusler compounds.
  • Improved recommendation engines have led to the discovery of tens of thousands of stable compounds at zero temperature and pressure, contributing to the Open Quantum Materials Database and highlighting applications in thermoelectricity and solar thermochemical fuel production.
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Antiferromagnetic materials offer potential for spintronic applications due to their resilience to magnetic field perturbations and lack of stray fields. Achieving exchange bias in these materials is crucial for certain applications; however, discovering such materials remains challenging due to their compensated spin structure. The quest for antiferromagnetic materials with exchange bias became a reality through our experimental study and theoretical simulation on and .

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Copper-based sulfides are attractive candidates for NIR I and II responsive photothermal therapy but often suffer from high hydrophobicity, suboptimal photothermal conversion, and poor biostability and biocompatibility. In the present work, a rapid, one-pot synthesis method was developed to obtain Au-doped CuS (ACSH NDs) dual plasmonic nanodots. ACSH NDs exhibit excellent peroxidase-like catalytic activity for pH-responsive OH radical generation along with efficient glutathione depletion under tumor microenvironment mimicking conditions.

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To manage risks and mitigate the transmission of infectious diseases, individuals often adopt strategies aimed at reducing interpersonal contact by implementing precautionary measures within their daily routines. These behavioral adjustments reduce the disease transmission rates. In this study, we present a novel mathematical model delineating diseases induced by carriers, incorporating multifaceted factors, such as psychological fear, media impact, and sanitation interventions.

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