Combustion of char has conventionally been reported to be diffusion controlled. Analytically, the process is reported to follow second order initial diametric ([Formula: see text]) dependence [Formula: see text] for both single-film (no CO combustion) and two-film models (CO burns in a concentric sphere over the particle). However, experimental investigations indicate deviation from classical diffusion limit with [Formula: see text] exceeding 2.00 and going as high as 2.37. Videography investigations depict luminous film engulfing the particle for certain Temperature-Oxygen concentration-Particle diameter combinations (for which, [Formula: see text]). The observed deviation is hypothesized to convective resistance offered by the CO generated on the surface to motion of [Formula: see text] towards the surface. This results in reduced [Formula: see text] concentration at the surface with enhanced conversion time being the implication (hence, [Formula: see text]). Such convective resistance remains unaccounted for in the prevailing analytical models. The CO dominated film thickness is enhanced with temperature and reactant concentration, increasing the convective resistance, and further deviating from [Formula: see text] behaviour. The analytical solution shows that in presence of a convectively expanding CO film, total conversion time is a function of film diameter while also being dependent on [Formula: see text]. The hypothesis is validated by comparing analytical estimates with experimentally observed film diameter and conversion time.
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http://dx.doi.org/10.1038/s41598-022-22910-w | DOI Listing |
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Eravacycline is a broad-spectrum fluorocycline currently approved for complicated intra-abdominal infections (cIAIs). In lung-infection models, it is effective against methicillin-resistant (MRSA) and tetracycline-resistant MRSA. As such, we aimed to develop a population pharmacokinetic/pharmacodynamic (PK/PD) model to evaluate eravacycline's pulmonary distribution and kinetics.
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Department of Biology, Indiana University, Bloomington, IN 47405, USA.
The factors contributing to the persistence and stability of life are fundamental for understanding complex living systems. Organisms are commonly challenged by harsh and fluctuating environments that are suboptimal for growth and reproduction, which can lead to extinction. Many species contend with unfavourable and noisy conditions by entering a reversible state of reduced metabolic activity, a phenomenon known as dormancy.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Mathematics, School of Advanced Sciences, VIT-AP University, Besides AP Secretariate, Amaravati, Andhra Pradesh, 522237, India.
Heavy hexagonal coding is a type of quantum error-correcting coding in which the edges and vertices of a low-degree graph are assigned auxiliary and physical qubits. While many topological code decoders have been presented, it is still difficult to construct the optimal decoder due to leakage errors and qubit collision. Therefore, this research proposes a Re-locative Guided Search optimized self-sparse attention-enabled convolutional Neural Network with Long Short-Term Memory (RlGS2-DCNTM) for performing effective error correction in quantum codes.
View Article and Find Full Text PDFSci Rep
January 2025
Prokhorov General Physics Institute of the Russian Academy of Sciences, Moscow, 119991, Russia.
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January 2025
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