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25-3 ml/min) and solution pH (4.5, 7 and 9.5). Results showed that (i) increasing Cr(VI) inlet concentration substantially decreased Cr(VI) removal efficiency of GRSO4, (ii) flow rates had a lower impact on removal efficiencies, although values tended to be lower at higher flow rates, and (iii) Cr(VI) removal was enhanced at acidic pH conditions compared to neutral and alkaline conditions. For comparison, Cr(VI) removal by sulphidized nanoscale zerovalent iron (S-nZVI) in identical column experiments was substantially lower, indicating that S-nZVI reactivity with Cr(VI) is much slower compared to GRSO4. Overall, GRSO4 performed reasonably well, even at the highest tested flow rate, showing its versatility and suitability for Cr(VI) remediation applications in high flow environments.Biofuels have the capacity to contribute to carbon dioxide emission reduction and to energy security as oil reserves diminish and/or become concentrated in politically unstable regions. However, challenges exist in obtaining the maximum yield from industrial fermentations. One challenge arises from the nature of alcohols. These compounds are chaotropic (i.e. causes disorder in the system) which causes stress in the microbes producing the biofuel. Brewer's yeast (Saccharomyces cerevisiae) typically cannot grow at ethanol concentration much above 17% (v/v). Mitigation of these properties has the potential to increase yield. Previously, we have explored the effects of chaotropes on model enzyme systems and attempted (largely unsuccessfully) to offset these effects by kosmotropes (compounds which increase the order of the system, i.e. the "opposite" of chaotropes). Here we present some theoretical results which suggest that high molecular mass polyethylene glycols may be the most effective kosmotropic additives in terms of both efficacy and cost. The assumptions and limitations of these calculations are also presented. A deeper understanding of the effects of chaotropes on biofuel-producing microbes is likely to inform improvements in bioethanol yields and enable more rational approaches to the "neutralisation" of chaotropicity.Phyllosphere bacteria have an important role in plant growth and resistance to pathogen infection and are partially influenced by plant genotype and leaf environment. How plant resistance to pathogens and leaf chemical characteristics shape the phyllosphere bacterial communities is unclear. In this study, the phyllosphere bacterial communities of maize hybrids with various resistance to Setosphaeria turcica were compared using the high-throughput sequencing and large-scale culturing methods. The results showed that Shannon and Simpson indices of phyllosphere bacterial communities were markedly higher in the highly resistant hybrid (HR) compared with the susceptible one. Hierarchical clustering analysis, unweighted UniFrac principal component analysis (PCoA) and the analysis of similarities (ANOSIM) demonstrated that the phyllosphere bacterial communities were significantly distinct between resistant and susceptible hybrids. The redundancy analysis (RDA) demonstrated that leaf chemical characteristics, including nitrogen and phosphorus concentration, and disease resistance play an important role in shaping the phyllosphere bacterial community. see more Linear discriminant effect size (LEfSe) analysis indicated that Bacillus, Pseudomonas and Tumebacillus were the biomarker species in the phyllosphere of HR. Biocontrol bacteria against S. turcica (such as Pseudomonas and Bacillus) were isolated from the phyllosphere of HR by large-scale culturing. The work contributes to understanding of the phyllosphere bacterial community assembly and provides a new clue to screening for strong biocontrol bacteria from HR and to facilitating future breeding efforts for enhancing disease resistance.

This review examines recent (2016 onwards) neuroscientific findings on the mechanisms supporting mindfulness-associated pain relief. To date, its clear that mindfulness lowers pain by engaging brain processes that are distinct from placebo and vary across meditative training level. Due to rapid developments in the field of contemplative neuroscience, an update review on the neuroimaging studies focused on mindfulness, and pain is merited.

Mindfulness-based therapies produce reliably reductions in a spectrum of chronic pain conditions through psychological, physiological, and neural mechanisms supporting the modulation of evaluation and appraisal of innocuous and noxious sensory events. Neuroimaging and randomized control studies confirm that mindfulness meditation reliably reduces experimentally induced and clinical pain by engaging multiple, unique, non-opioidergic mechanisms that are distinct from placebo and which vary across meditative training level. These promising findings underscore the potential of mindfulness-based approaches to produce long-lasting improvements in pain-related symptomology.

Mindfulness-based therapies produce reliably reductions in a spectrum of chronic pain conditions through psychological, physiological, and neural mechanisms supporting the modulation of evaluation and appraisal of innocuous and noxious sensory events. Neuroimaging and randomized control studies confirm that mindfulness meditation reliably reduces experimentally induced and clinical pain by engaging multiple, unique, non-opioidergic mechanisms that are distinct from placebo and which vary across meditative training level. These promising findings underscore the potential of mindfulness-based approaches to produce long-lasting improvements in pain-related symptomology.Neuroinflammation is the primary response by immune cells in the nervous system to protect against infection. Chronic and uncontrolled neuroinflammation triggers neuronal injury and neuronal death resulting in a variety of neurodegenerative disorders. Therefore, fine tuning of the immune response in the nervous system is now extensively considered as a potential therapeutic intervention for those diseases. The immune cells of the nervous system express Toll-like receptor 4 (TLR4) together with myeloid differentiation factor 2 (MD-2) to protect against the pathogens. Over the last 10 years, antagonists targeting the functional domains of MD-2 have become attractive pharmacological intervention strategies in pre-clinical studies into neuroinflammation and its associated brain pathologies. This review aims to summarize and discuss the roles of TLR4-MD-2 signaling pathway activation in various models of neuroinflammation. This review article also highlights the studies reporting the effect of MD-2 antagonists on neuroinflammation in in vitro and in vivo studies.