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Solar energy based green hydrogen production is dependent on energy produced from Photovoltaic (PV) panels that is in turn dependent on Global Horizontal Irradiance (GHI), which has stochastic and intermittent nature. The intermittent power output from PV panels may interfere with the steady production of electricity required for electrolysis process to synthesis the green hydrogen thereby; reducing the effectiveness and scalability of green hydrogen generation. Ultimate goal of this work will be to effectively forecast and develop the atlas map for solar based green hydrogen production potential using the proposed algorithm i.e. Complete Ensemble Empirical Mode Decomposition with Adaptive Noise-Bidirectional Long Short-Term Memory (CEEMDAN-BiDLSTM). In order to suggest a reliable and precise forecasting methodology that will support India's low-carbon economy goals, the proposed method is evaluated on GHI datasets acquired via national portal of National Institute of Wind Energy (NIWE) for two Indian sites i.e. Bhadla and Fatehgarh. • Use of decomposition & deep learning algorithms for solar irradiance prediction. • Highly accurate results of GHI forecasting on statistical parameters are obtained. • Building atlas map for solar based green hydrogen production potential of India. • Significant potential for solar-powered green hydrogen production observed in India. • The study will benefit businesses/policy makers/institutions etc. Significantly. [ABSTRACT FROM AUTHOR]

Rotating bluff bodies are known to experience a side force due to a well-known phenomenon called the Magnus effect. The Magnus effect is evident in many sports (cricket, soccer, baseball, and football), where spinning balls are observed to change their trajectories dramatically. In this paper, we have experimentally investigated the effect of imposed transverse rotation on flow past a sphere in the intermediate Reynolds number range (1 0 3 < Re ≲ 5 × 1 0 4 ). The results show the considerable effects of Reynolds number and the rotation rate on the force coefficients. A relatively sudden drop was observed in both the lift and drag coefficients at a 'critical' rotation rate, before a recovery at higher values, similar to but lower in magnitude than that observed near the drag crisis Reynolds number range (R e ≈ 3 × 1 0 5 ). The change in lift was found to be correlated with the change in the separation angle on the advancing side of the sphere, which occurs when the boundary layer flow becomes unsteady and turbulent, presumably as a result of the shear-layer instability observed for rotating spheres. The situation appears to be similar at lower Reynolds number (R e < 1000), with early transition to boundary layer turbulence causing the advancing side separation angle to increase substantially at a critical rotation rate. However, the boundary layer thickness is considerably thicker at lower Reynolds number, which presumably limits its ability to remain attached to high angles thus limiting the magnitude of the effect. Of interest, the shear-layer instability that develops as the rotation rate is increased manifests even at very low Reynolds numbers, suggesting that the origins of the inverse Magnus effect may be observable at even lower Reynolds numbers than those studied here. • Investigated flow past transversely rotating spheres at intermediate Reynolds numbers. • Force coefficients are strongly related to Reynolds number and rotation rate. • Noted abrupt drop in lift and drag coefficients at a critical rotation rate. • Lift correlated with advancing side flow separation angle variation. [ABSTRACT FROM AUTHOR]

Early childhood caries (ECC) is influenced by microbial and host factors, including social, behavioral, and oral health. In this cross-sectional study, we analyze interkingdom dynamics in the dental plaque microbiome and its association with host variables. We use 16S rRNA and ITS1 amplicon sequencing on samples collected from preschool children and analyze questionnaire data to examine the social determinants of oral health. The results indicate a significant enrichment of Streptococcus mutans and Candida dubliniensis in ECC samples, in contrast to Neisseria oralis in caries-free children. Our interkingdom correlation analysis reveals that Candida dubliniensis is strongly correlated with both Neisseria bacilliformis and Prevotella veroralis in ECC. Additionally, ECC shows significant associations with host variables, including oral health status, age, place of residence, and mode of childbirth. This study provides empirical evidence associating the oral microbiome with socioeconomic and behavioral factors in relation to ECC, offering insights for developing targeted prevention strategies. [Display omitted] • Characterized interkingdom association between cariogenic species of Neisseria and Candida • Bacterial/fungal species are important for caries prediction using artificial intelligence • Socioeconomic index is associated with caries status and caries-associated microbial markers Khan et al. report an interkingdom association between bacteria Neisseria bacilliformis and fungi Candida dubliniensis in early childhood caries. This study shows an association between the oral microbiome and host variables, including socioeconomic and behavioral factors, in early childhood caries. [ABSTRACT FROM AUTHOR]