Mathematical models for drug diffusion through the compartments of blood and tissue medium

This paper is an attempt to establish the mathematical models to understand the distribution of drug administration in human body through oral and intravenous routes. Three models were formulated based on diffusion process using Fick’s principle and law of mass action. The rate constants governing the law of mass action were used on the basis of the drug efficacy at different interfaces. The Laplace transform and eigenvalue methods were used to obtain the solution of the ordinary differential equations concerning the rate of change of concentration in different compartments viz. blood and tissue medium. The drug concentration in the different compartments has been computed using numerical parameters. The graphs plotted illustrate the variation of drug concentration with respect to time using MATLAB software. It has been observed from the graphs that the drug concentration decreases in the first compartment and gradually increases in other compartments.Keywords: Drug diffusion; Laplace transform; Eigenvalue metho

Mapping development and health effects of cooking with solid fuels in low-income and middle-income countries, 2000–18: a geospatial modelling study

Background: More than 3 billion people do not have access to clean energy and primarily use solid fuels to cook. Use of solid fuels generates household air pollution, which was associated with more than 2 million deaths in 2019. Although local patterns in cooking vary systematically, subnational trends in use of solid fuels have yet to be comprehensively analysed. We estimated the prevalence of solid-fuel use with high spatial resolution to explore subnational inequalities, assess local progress, and assess the effects on health in low-income and middle-income countries (LMICs) without universal access to clean fuels. Methods: We did a geospatial modelling study to map the prevalence of solid-fuel use for cooking at a 5 km × 5 km resolution in 98 LMICs based on 2·1 million household observations of the primary cooking fuel used from 663 population-based household surveys over the years 2000 to 2018. We use observed temporal patterns to forecast household air pollution in 2030 and to assess the probability of attaining the Sustainable Development Goal (SDG) target indicator for clean cooking. We aligned our estimates of household air pollution to geospatial estimates of ambient air pollution to establish the risk transition occurring in LMICs. Finally, we quantified the effect of residual primary solid-fuel use for cooking on child health by doing a counterfactual risk assessment to estimate the proportion of deaths from lower respiratory tract infections in children younger than 5 years that could be associated with household air pollution. Findings: Although primary reliance on solid-fuel use for cooking has declined globally, it remains widespread. 593 million people live in districts where the prevalence of solid-fuel use for cooking exceeds 95%. 66% of people in LMICs live in districts that are not on track to meet the SDG target for universal access to clean energy by 2030. Household air pollution continues to be a major contributor to particulate exposure in LMICs, and rising ambient air pollution is undermining potential gains from reductions in the prevalence of solid-fuel use for cooking in many countries. We estimated that, in 2018, 205 000 (95% uncertainty interval 147 000–257 000) children younger than 5 years died from lower respiratory tract infections that could be attributed to household air pollution. Interpretation: Efforts to accelerate the adoption of clean cooking fuels need to be substantially increased and recalibrated to account for subnational inequalities, because there are substantial opportunities to improve air quality and avert child mortality associated with household air pollution. Funding: Bill & Melinda Gates Foundation

Utility of otolith weight to estimate age of Labeo bata (Actinopterygii: Cypriniformes: Cyprinidae) inhabiting the Ganga River

Fish age estimation is essential for stock assessment, population dynamics, and fisheries management. The presently reported study was conducted to evaluate the relation between otolith weight and observed age in Labeo bata (Hamilton, 1822) inhabiting the Ganga River. A total of 187 L. bata specimens were collected from Narora site of the Ganga River. Linear regression analysis was applied between otolith weight and observed age to predict the age of fish from the otolith weight. The relation between otolith weight and observed age was significant for L. bata. The otolith weight increased with the fish age. Discriminant function analysis revealed 96.3% of the predicted ages were correctly classified to their observed ages. Thus, it can be inferred that the relation between otolith weight and fish age can provide an additional method of age estimation in L. bata

Not Available

Not AvailableNot AvailableNot Availabl

Not Available

Not AvailableSeven fungitoxicants were tested against Fusarium oxysporum f. sp. lentis . All these singificantly checked the growth of the pathogen as compared to control. Carbendazim proved most effective fungitoxicant for checking the fungal growth (5.6 mm) followed by captan (9.9 mm) and hexaconazole and diniconazole. Seed treatment + soil drenching with Carbendazim was most effective to minimize the wilt incidence (10.6 % ), plant mortality (4.5 % ) and gave highest grain yield (7.48q \ ha) followed by captan (15.9%, 6.3%, ^ .10q \ ha). Hexaconazole and diniconazole were the next best fungitoxicants in order of superiority in case of disease incidence, plant mortality and grain yield.Not Availabl