Impact of aging mechanism on model simulated carbonaceous aerosols

Carbonaceous aerosols including organic carbon and black carbon have significant implications for both climate and air quality. In the current global climate or chemical transport models, a fixed hydrophobic-to-hydrophilic conversion lifetime for carbonaceous aerosol (τ) is generally assumed, which is usually around one day. We have implemented a new detailed aging scheme for carbonaceous aerosols in a chemical transport model (GEOS-Chem) to account for both the chemical oxidation and the physical condensation-coagulation effects, where τ is affected by local atmospheric environment including atmospheric concentrations of water vapor, ozone, hydroxyl radical and sulfuric acid. The updated τ exhibits large spatial and temporal variations with the global average (up to 11 km altitude) calculated to be 2.6 days. The chemical aging effects are found to be strongest over the tropical regions driven by the low ozone concentrations and high humidity there. The τ resulted from chemical aging generally decreases with altitude due to increases in ozone concentration and decreases in humidity. The condensation-coagulation effects are found to be most important for the high-latitude areas, in particular the polar regions, where the τ values are calculated to be up to 15 days. When both the chemical aging and condensation-coagulation effects are considered, the total atmospheric burdens and global average lifetimes of BC, black carbon, (OC, organic carbon) are calculated to increase by 9% (3%) compared to the control simulation, with considerable enhancements of BC and OC concentrations in the Southern Hemisphere. Model evaluations against data from multiple datasets show that the updated aging scheme improves model simulations of carbonaceous aerosols for some regions, especially for the remote areas in the Northern Hemisphere. The improvement helps explain the persistent low model bias for carbonaceous aerosols in the Northern Hemisphere reported in literature. Further model sensitivity simulations focusing on the continental outflow of carbonaceous aerosols demonstrate that previous studies using the old aging scheme could have significantly underestimated the intercontinental transport of carbonaceous aerosols

Prevalence and co-infection of Toxoplasma gondii and Neospora caninum in Apodemus sylvaticus in an area relatively free of cats

The protozoan parasite Toxoplasma gondii is prevalent worldwide and can infect a remarkably wide range of hosts despite felids being the only definitive host. As cats play a major role in transmission to secondary mammalian hosts, the interaction between cats and these hosts should be a major factor determining final prevalence in the secondary host. This study investigates the prevalence of T. gondii in a natural population of Apodemus sylvaticus collected from an area with low cat density (<2·5 cats/km2). A surprisingly high prevalence of 40·78% (95% CI: 34·07%–47·79%) was observed despite this. A comparable level of prevalence was observed in a previously published study using the same approaches where a prevalence of 59% (95% CI: 50·13%–67·87%) was observed in a natural population of Mus domesticus from an area with high cat density (>500 cats/km2). Detection of infected foetuses frompregnant dams in both populations suggests that congenital transmission may enable persistence of infection in the absence of cats. The prevalences of the related parasite, Neospora caninum were found to be low in both populations (A. sylvaticus: 3·39% (95% CI: 0·12%–6·66%); M. domesticus: 3·08% (95% CI: 0·11%–6·05%)). These results suggest that cat density may have a lower than expected effect on final prevalence in these ecosystems

Lefamulin: novel pleuromutilin drug for community acquired bacterial pneumonia

The advent and spread of antimicrobial resistance has led to a global public health emergency necessitating development of new antimicrobial drugs. Community acquired bacterial pneumonia (CABP) contributes a major portion of societal burden with increasing morbidity due to evolution of drug resistant strains. Lefamulin is a novel pleuromutilin antibiotic with unique mechanism of action through inhibition of protein synthesis by binding to the peptidyl transferase center of the 50s bacterial ribosome. The drug displays activity against Gram positive and atypical organisms associated with CABP (i.e., Streptococcus pneumoniae, Haemophilus influenzae, Mycoplasma pneumonia, Legionella pneumophila, and Chlamydophila pneumoniae), with an expanded Gram-positive spectrum including Staphylococcus aureus (i.e., methicillin-resistant, vancomycin-intermediate, and heterogeneous strains). Lefamulin is available in both intravenous (IV) and per oral (PO) formulation, exhibits high nonlinear plasma protein binding with low unbound concentrations, higher concentrations in lung epithelial lining fluid (ELF) than in plasma, and a half-life of approximately 10 hour. The recommended IV dose is 150 mg twice daily over 1 hour or a PO dose of 600 mg twice daily. Most common adverse drug reactions injection site reactions, hepatic enzyme elevation, nausea, diarrhoea, hypokalemia, insomnia, and headache. Clinical trials for lefamulin have been positive and Phase 3 data suggest similar efficacy when compared to moxifloxacin with or without linezolid in CABP. Also, the documented resistance and cross-resistance with other Gram-positive antibacterials remains low. With Nabrivia Pharmaceuticals having already received US FDA approval in August 2019, lefamulin may soon be a new addition to the mounting armoury of drugs against CABP.

An earth-friendly herbal pesticide from Pongamia pinnata L.

Today use of hazardous chemical pesticides is a major environmental problem in global agriculture. The large scale use of these pesticides is degrading soil quality, underground and surface water quality, food quality of products. Herbal pesticides are a potential option for their chemical counterparts. It was observed that the crop fields where Pongamia pinnata trees are planted, there is less or no infestation of various insect-pests round the year.The trees of Pongamia pinnata are found allover India and the use of Pongamia as pesticide is cost effective, environment friendly and is in the reach of common villagers and farmers of India

Geochemistry of some ferruginous soils of Kerala, India

The four representative ferruginous soils on lateritic cover developed over Precambrian rocks in parts of Kottayam of Kerala were studied to understand the weathering pattern and genesis through geochemistry. These soils are strongly to moderately acidic, reddish brown with low Cation exchange capacity CEC and base saturation having SiO2 - 33 to 57%, Al2O3 - 16-31%, Fe2O3 - 8 to 15% and TiO2 -0.7 to 1.4%. Kanjirapalli (P3) and Athirampuzha (P4) soil series were more intensely weathered as compared to the Kinalur (P1) and Chingavanam series (P2) with silica to alumina -iron ratio less than 2 and had a significant negative relationship with Chemical index of alteration CIA ( -0.75**), Harnois index ( -0.678**), Richie index (-0.953**) and Plagioclase Index of Weathering (-0.705**). The trace elemental concentration ranges were above the values of world soils having an enrichment index more than 1 in Kanjirapalli series (P3) and Ni contamination in genetic horizons (Ni &gt; 200µgg-1 ). The cluster analysis showed similar major oxide concentration pattern in Group -1 and Group - 2 but varied in trace elemental pattern with Cr &gt; Ba &gt; Cu in Group - 1 and Cu &gt; Cr &gt; Ba in Group- 2 soils whereas Zr &gt; Ni &gt; Mn in Group - 3 to Ni &gt; Mn &gt; Zr in Group - 4 soils. The study further showed that differential rate of weathering in soils under tropical climate was further accelerated due to anthropogenic activities such as improper land use practices and deforestation on sleep slopes

Inverse problem of photoelastic fringe mapping using neural networks

This paper presents an enhanced technique for inverse analysis of photoelastic fringes using neural networks to determine the applied load. The technique may be useful in whole-field analysis of photoelastic images obtained due to external loading, which may find application in a variety of specialized areas including robotics and biomedical engineering. The presented technique is easy to implement, does not require much computation and can cope well within slight experimental variations. The technique requires image acquisition, filtering and data extraction, which is then fed to the neural network to provide load as output. This technique can be efficiently implemented for determining the applied load in applications where repeated loading is one of the main considerations. The results presented in this paper demonstrate the novelty of this technique to solve the inverse problem from direct image data. It has been shown that the presented technique offers better result for the inverse photoelastic problems than previously published works