Publications by authors named "A Bhargavi Krishna"

Green synthesis techniques have drawn a lot of interest lately since they are beneficial to the environment and have potential uses in a variety of industries, including biomedicine. Because of their special physicochemical characteristics, copper nanoparticles (CuNPs) have become one of the most interesting options for use in biological applications among nanomaterials. An overview of green synthesis methods for CuNPs is given in this review, along with a discussion of their applications in cancer therapeutics.

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The work describes a novel sensing and transportation feasibility of the well-established antifungal drug Flucytosine (5-FC) using a 2D Silicon carbide (SiC) and Germanium-doped Silicon carbide (Ge@SiC) nanosheet via PBE level of Density functional theory. The computational study revealed that the drug molecules adhere to SiC and Ge@SiC sheets, maintaining their structural properties through physisorption on SiC and chemisorption on Ge@SiC. The charge transfer process associated with the adsorption is observed by Lowdin charge analysis and both the SiC and Ge@SiC sheets are identified as a feasible oxidation-based nanosensor for the drug.

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Resource availability dictates how fast and how much microbial populations grow. Quantifying the relationship between microbial growth and resource concentrations makes it possible to promote, inhibit, and predict microbial activity. Microbes require many resources, including macronutrients (e.

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Article Synopsis
  • The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
  • A special data scouting method is utilized to pick out events with low combined momentum in jets.
  • This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
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  • Long-term stability poses a significant challenge for commercializing perovskite solar cells, made worse by a lack of consistent outdoor testing data.
  • This study involved two years of outdoor testing on perovskite mini-modules, analyzing their performance changes throughout each day, including both degradation during the day and recovery overnight.
  • Using the XGBoost regression model, the researchers successfully predicted the power output of the mini-modules, achieving a low error rate, which shows promise for estimating the lifespan of perovskite devices based on environmental factors.
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