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Nigella sativa (N. sativa; Ranunculaceae), commonly referred to as black cumin, is one of the most widely used medicinal plants worldwide, with its seeds having numerous applications in the pharmaceutical and food industries. With the emergence of antibiotic resistance in pathogens as an important health challenge, the need for alternative microbe-inhibitory agents is on the rise, whereby black cumin has gained considerable attention from researchers for its strong antimicrobial characteristics owing to its high content in a wide range of bioactive compounds, including thymoquinone, nigellimine, nigellidine, quercetin, and O-cymene. Particularly, thymoquinone increases the levels of antioxidant enzymes that counter oxidative stress in the liver. Additionally, the essential oil in N. sativa seeds effectively inhibits intestinal parasites and shows moderate activity against some bacteria, including Bacillus subtilis and Staphylococcus aureus. Thymoquinone exhibits minimum inhibitory concentrations (MICs) of 8–16 μg/mL against methicillin-resistant Staphylococcus aureus (MRSA) and exhibits MIC 0.25 µg/mL against drug-resistant mycobacteria. Similarly, quercetin shows a MIC of 2 mg/mL against oral pathogens, such as Streptococcus mutans and Lactobacillus acidophilus. Furthermore, endophytic fungi isolated from N. sativa have demonstrated antibacterial activity. Therefore, N. sativa is a valuable medicinal plant with potential for medicinal and food-related applications. In-depth exploration of the corresponding therapeutic potential and scope of industrial application warrants further research. [ABSTRACT FROM AUTHOR]

The proposed framework considers the thermosolutal Marangoni convective flow of Sisko (MOS2-CH3OH) nanofluid over a Riga surface with the effects of Stefan blowing and thermophoretic particle deposition. The phenomena of mass and heat are discussed in relation to Soret and Dufour impacts. Electrodes and magnets are arranged on a plate to make up the Riga plate. Since the fluid conducts electricity, the Lorentz force upsurges exponentially in the vertical direction. There are numerous possible uses for this study in different disciplines. The design and production of thin films, coatings, and nanostructured materials can be enhanced by knowledge of how nanoparticles settle onto surfaces under various fluid flow conditions. By optimizing fluid flow and particle deposition processes, engineering insights from this work can guide the development of more efficient heat transfer systems, such as heat exchangers and cooling technologies. The nonlinear governing PDEs are converted into nonlinear ODEs using appropriate transformations. The resultant system of highly nonlinear equations can be solved analytically by using the homotopy analysis method (HAM). The significance of factors on the flow, thermal, and concentration fields are thoroughly explained with the use of tables and figures. Higher Marangoni convection parameter in more effective heat and mass transport within the liquid as well as higher induced flows when the Marangoni convection parameter is increased. A more uniform distribution of these properties throughout the liquid is the result of decreasing temperature and concentration profiles. [ABSTRACT FROM AUTHOR]

Programmed death-ligand 1 (PD-L1), a transmembrane protein, is associated with the regulation of immune system. It frequently has overexpression in various cancers, allowing tumor cells to avoid immune detection. PD-L1 inhibition has risen as a potential strategy in the field of therapeutic immunology for cancer. In the current study, structure-based virtual screening of drug libraries was conducted and then the screened hits were docked to the active residues of PD-L1 to select the optimal binding poses. The top ten compounds with binding affinities ranging from -10.734 to -10.398 kcal/mol were selected for further analysis. The ADMET analysis of selected compounds showed the compounds meet the criteria of ADMET properties. Further, the conformational changes and binding stability of the top two compounds was analyzed by conducting 200 ns simulation and it was observed that the hits did not exert conformational changes to the protein structure. All the results suggest that the chosen hits can be considered as lead compounds for the inhibition of biological activity of PD-L1 in in vitro studies. [ABSTRACT FROM AUTHOR]

The proposed study examines the effect of inclined magnetic field on a ternary hybrid nanofluid flow that is axisymmetric thermo-solutal Marangoni convective over an infinite disc. Some well-known uses of Marangoni convection include semiconductor production, atomic reactors, crystal growth, fine art mechanisms, melting, thin-film stretching and welding processes. The non-uniform heat generation and viscous dissipation are taken into account. The thermal conductivity and diffusivity coefficient are presumed to vary inversely with linear function of temperature and concentration. The ternary hybrid nanofluid, which consists of silicon dioxide ( SiO 2 ), iron oxide ( Fe 3 O 4 ), molybdenum disulfide ( MoS 2 ) and ethylene glycol as base liquid, undergoes an energy transition to improve heat transfer. The system of PDEs is transformed into nonlinear ordinary differential equations (ODEs) by using the appropriate transformations. Using the BVP4C method, this problem is numerically solved. The heat and mass phenomena rates on flow behavior are investigated using tables and graphs to address the impact of several physical and flow parameters on velocity, concentration, and thermal profiles. By increasing the Marangoni convection parameter, the surface tension gradient gets stronger, leading to more efficient heat and mass transfer inside the liquid as well as stronger induced flows. As the temperature and concentration profiles decrease, the outcome is a more consistent dispersion of these properties throughout the liquid. [ABSTRACT FROM AUTHOR]

The present work investigates the Magneto-Marangoni convective flow of dusty second-grade nanofluid flow over a porous sheet in the presence of stagnation-point. The effects of chemical reaction, gyrotactic microorganisms are taken into account along with variable mass diffusivity, thermal radiation, and non-uniform heat source. The thermal reflection of nanoparticle molybdenum disulfide (Mo S 2 ) when it interacts with kerosene oil (KO) base fluid is determined. Nanoparticles and dust particles are presumptively spherical. The arising system of nonlinear PDEs is transformed into nonlinear ODEs by applying similarity transformations. Conservation of momentum, mass, concentration, energy, and density of microorganisms are used in to model the flow equations. The numeric expressions are computed by using the RKF-45th based shooting scheme. The outcomes revealed that the microorganisms, concentration, and temperature profiles decay in both phases, but velocity profiles of dust and fluid phases rise as the Marangoni ratio parameter grows. [ABSTRACT FROM AUTHOR]

In the current study, mass and heat transfer flow of radiated Casson hybrid nanofluid with nanoparticles and dust deferment over sheet are explored. The Soret and Dufour effects, activation energy and microorganisms in the hybrid nanofluid model are described. Marangoni convection, a prominent occurrence in microgravity caused by surface tension gradients. It can be used for many different things, such as the creation of molten crystals, thin-film diffusion, the generation of vapour bubbles during nucleation, and semiconductor manufacturing. In sodium alginate, we wondered about the aluminium alloys AA7072 and AA7075. The aluminium alloys included in this study are specially made materials with improved heat transmission characteristics. aluminium and zinc are combined in AA7072 alloy in the ratios of 98 & 1, respectively, with the addition of silicon, ferrous metals, and copper. Similarly, AA7075 is a blend of aluminium, magnesium, zinc, and copper in the proportions of ~ 90, ~3, ~6, and ~ 1, respectively, with silicon ferrous and magnesium as additional metals. The controlling PDEs are transformed into nonlinear ODEs with the aid of a new set of similarity variables. These ODEs are then numerically solved using the RKF-45th method. The findings show that when the Marangoni convection parameter increases, the concentration, temperature, and microbiological characteristics drop while the velocity profile increases for both the dust and fluid phases. [ABSTRACT FROM AUTHOR]

The current study concentrated on the 2‐D flow of a dusty, Magnetohydrodynamics (MHD) Sutterby hybrid nanofluid flowing across a surface in a Darcy–Forchheimer medium. The Cattaneo–Christov heat flux model and variable thermal conductivity properties are taken into description. Marangoni convective boundary conditions are taken into consideration while the thermal flow analysis is examined. Some of the applications of Marangoni convection include thin‐film diffusion, the formation of molten crystals, semiconductor fabrication, and the growth of vapor bubbles during nucleation. Hybrid nanofluid is made up of two nanoparticles (Ag−Cu)${\mathrm{Ag}} - {\mathrm{Cu}})$ and one base fluid C2H6O2${{\mathrm{C}}}_2{{\mathrm{H}}}_6{{\mathrm{O}}}_2$. Determining the Marangoni convective flow of dusty hybrid nanofluid thermal mobility with ethylene glycol base fluids is the main objective of this investigation. The accepted nanoparticles and dust particles are assigned a spherical shape. The problem has been modeled using nonlinear partial differential equations. With the use of transformation, the partial differential equations (PDEs) system is reduced to a set of ordinary differential equation (ODEs). The problem is mathematically stated, and then using the RKF‐45th approach, it is numerically solved. Tables and graphs are used to assess the effects of the physical parameters of the current problem, such as the Deborah number, Eckert number and thermal relaxation parameter. The thickness of the momentum boundary layer decreases by growing the inverse Darcy number and the Forchheimer parameter for both phases. The velocity profiles of the dust and fluid phases are improved by greater estimates of the Deborah number. [ABSTRACT FROM AUTHOR]