2,118 research outputs found
Elevated atmospheric carbon dioxide and plant immunity to fungal pathogens:do the risks outweigh the benefits?
Anthropogenic emissions have caused atmospheric carbon dioxide (CO2) concentrations to double since the industrial revolution. Although this could benefit plant growth from the 'CO2 fertilisation' effect, recent studies report conflicting impacts of elevated CO2 (eCO2) on plant-pathogen interactions. Fungal pathogens are the leading cause of plant disease. Since climate change has been shown to affect the distribution and virulence of these pathogens, it is important to understand how their plant hosts may also respond. This review assesses existing reports of positive, negative, and neutral effects of eCO2 on plant immune responses to fungal pathogen infection. The interaction between eCO2 and immunity appears specific to individual pathosystems, dependent on environmental context and driven by the interactions between plant defence mechanisms, suggesting no universal effect can be predicted for the future. This research is vital for assessing how plants may become more at risk under climate change and could help to guide biotechnological efforts to enhance resistance in vulnerable species. Despite the importance of understanding the effects of eCO2 on plant immunity for protecting global food security, biodiversity, and forests in a changing climate, many plant-pathogen interactions are yet to be investigated. In addition, further research into the effects of eCO2 in combination with other environmental factors associated with climate change is needed. In this review, we highlight the risks of eCO2 to plants and point to the research required to address current unknowns.</p
Incorporating children and young people's voices in child and adolescent mental health services using the family model
Mental illness in children and young people is increasing in frequency and complexity, is emerging earlier and is persisting into adulthood. This is a global issue with implications for research, policy and practice. Children and young people require the experience of safe, nurturing relationships for optimal lifelong outcomes. Despite awareness of this in Child and Adolescent Mental Health services, a focus on the relational context in which children and young people present is not universal. A challenge in family focused practice is to ensure that no individual's voice is "too loud" and that children and young people's voices are heard. This article illustrates how a balance between individual and systems understanding can be achieved in therapeutic work by incorporating the voices of children and young people and concerns of other family members. This article describes an approach to improving family focused practice in a public Child and Adolescent Mental Health service. Use of The Family Model, as a family focused practice tool, is presented across three service settings. The Family Model intervention is briefly described, outlining the way in which it supports collaborative practice and assists clinicians to achieve the balance described above. Vignettes will demonstrate how children and young people's voices are explicitly incorporated in formulating mental health issues with two generations to generate developmentally informed care plans
Repeated Restraint Stress Exposure During Early Withdrawal Accelerates Incubation of Cue-Induced Cocaine Craving
A major challenge for treating cocaine addiction is the propensity for abstinent users to relapse. Two important triggers for relapse are cues associated with prior drug use and stressful life events. To study their interaction in promoting relapse during abstinence, we used the incubation model of craving and relapse in which cue-induced drug seeking progressively intensifies (\u27incubates\u27) during withdrawal from extended-access cocaine self-administration. We tested rats for cue-induced cocaine seeking on withdrawal day (WD) 1. Rats were then subjected to repeated restraint stress or control conditions (seven sessions held between WD6 and WD14). All rats were tested again for cue-induced cocaine seeking on WD15, 1 day after the last stress or control session. Although controls showed a time-dependent increase in cue-induced cocaine seeking (incubation), rats exposed to repeated stress in early withdrawal exhibited a more robust increase in seeking behavior between WD1 and WD15. In separate stressed and control rats,equivalent cocaine seeking was observed on WD48. These results indicate that repeated stress in early withdrawal accelerates incubation of cocaine craving, although craving plateaus at the same level were observed in controls. However, 1 month after the WD48 test, rats subjected to repeated stress in early withdrawal showed enhanced cue-induced cocaine seeking following acute (24 hours) food deprivation stress. Together, these data indicate that chronic stress exposure enhances the initial rate of incubation of craving during early withdrawal, resulting in increased vulnerability to cue-induced relapse during this period, and may lead to a persistent increase in vulnerability to the relapse-promoting effects of stress
Power contours : optimising sample size and precision in experimental psychology and human neuroscience
When designing experimental studies with human participants, experimenters must decide how many trials each participant will complete, as well as how many participants to test. Most discussion of statistical power (the ability of a study design to detect an effect) has focussed on sample size, and assumed sufficient trials. Here we explore the influence of both factors on statistical power, represented as a two-dimensional plot on which iso-power contours can be visualised. We demonstrate the conditions under which the number of tri- als is particularly important, i.e. when the within-participant variance is large relative to the between-participants variance. We then derive power contour plots using existing data sets for eight experimental paradigms and methodologies (including reaction times, sensory thresholds, fMRI, MEG, and EEG), and provide example code to calculate estimates of the within- and between-participant variance for each method. In all cases, the within-participant variance was larger than the between-participants variance, meaning that the number of trials has a meaningful influence on statistical power in commonly used paradigms. An online tool is pro- vided (https://shiny.york.ac.uk/powercontours/) for generating power contours, from which the optimal combination of trials and participants can be calculated when designing future studies
Effect of Flame Retardants and Electrolyte Variations on Li-Ion Batteries
Lithium-ion batteries are being increasingly used and deployed commercially. Cell-level improvements that address flammability characteristics and thermal runaway are currently being intensively tested and explored. In this study, three additives—namely, lithium oxalate, sodium fumarate and sodium malonate—which exhibit fire-retardant properties are investigated with respect to their incorporation into graphite anodes and their electro/chemical interactions within the anode and the cell material studied. It has been shown that flame-retardant concentrations of up to approximately 20 wt.% within the anode coating do not cause significant capacity degradation but can provide a flame-retardant effect due to their inherent, fire-retardant release of CO2 gas. The flame-retardant-containing layers exhibit good adhesion to the current collector. Their suitability in lithium-ion cells was tested in pouch cells and, when compared to pure graphite anodes, showed almost no deterioration regarding cell capacity when used in moderate (≤20 wt.%) concentrations
Benefits and harms of interventions to improve anxiety, depression, and other mental health outcomes for autistic people:A systematic review and network meta-analysis of randomised controlled trials
"The whole package deal" : experiences of overweight/obese women living with polycystic ovary syndrome
Background: Polycystic Ovary Syndrome (PCOS) is a common female reproductive disorder with multiple manifestations. There are relatively few qualitative studies exploring the nature of living with PCOS despite its high prevalence. Qualitative research can enhance clinical practice via the provision of patient insights into the experience of living with their condition. Methods: We conducted two focus groups and three semi-structured interviews of Australian overweight/obese women with PCOS aged 18–46 years between March and April 2017 who were recruited through social media advertising. Interviews and focus groups were audio recorded and transcribed verbatim. Thematic analysis was applied to the data, using the method of constant comparison. Results: Ten women contributed data from two focus groups and two semi-structured interviews. Five themes emerged from the data: complexity of the condition with its multiple manifestations, difficulties with delayed diagnosis and lack of information provided after diagnosis, negative experiences on social media and online forums and the need for support, frustration over lack of a “cure”; and the impact of symptoms and concern about long-term sequelae. Conclusions: Living with PCOS appears to generate a significant degree of anxiety about the future, dissatisfaction with current treatment models, and loss of feminine identity. Gaps in timely diagnosis, information and support provision need to be addressed. This includes supporting weight management as a fundamental concern for women with PCOS
Feasibility study on drug consumption rooms in Belgium
People who use illicit drugs (PWUD) experience a wide range of drug-related harms. The goal of harm reduction is to reduce these adverse effects of drug use, without necessarily reducing drug use itself. By providing a safe and hygienic environment to consume pre-obtained drugs under the supervision of trained staff, drug consumption rooms (DCRs) aim to reduce both individual-level and public-level harms associated with illicit drug use. A substantial body of evidence has accumulated over the past three decades to support the effectiveness of DCRs in achieving their primary health and public order objectives, and therefore supports their role within a continuum of services for PWUD. Despite the abundance of scientific evidence supporting DCRs, there continues to be social and structural barriers to the implementation of this public health intervention in communities across the globe. Yet, the debate about implementing new DCRs remains high on the political agenda in a number of countries worldwide. To date, Belgium does not offer a DCR to its drug using population. Against this background, the Belgian Science Policy Office (BELSPO) commissioned a first-ever study to assess the feasibility of DCRs in Belgium. The objective of the current feasibility study was to identify (legal) preconditions, design and operational considerations that would allow a DCR to be added within a continuum of policy initiatives for PWUD in five Belgian cities: Ghent, Antwerp, Brussels, Charleroi and Liège. The aims were threefold: (1) provide an up-to-date overview of the effectiveness, models, and barriers of DCRs worldwide, with particular attention to DCRs in Belgium’s four neighbouring countries; (2) conduct an in-depth analysis of the legal framework within a DCR could operate in Belgium; and (3) conduct a feasibility study with local stakeholders and PWUD from each of the five cities. Based on our findings, we formulate 18 recommendations specifically tailored to the Belgian context: essential preconditions (including legal options); main considerations when implementing a DCR; the implementation process; and monitoring and evaluation
Clustering approaches to improve the performance of low cost air pollution sensors
Low cost air pollution sensors have substantial potential for atmospheric research and for the applied control of pollution in the urban environment, including more localized warnings to the public. The current generation of single-chemical gas sensors experience degrees of interference from other co-pollutants and have sensitivity to environmental factors such as temperature, wind speed and supply voltage. There are uncertainties introduced also because of sensor-to-sensor response variability, although this is less well reported. The sensitivity of Metal Oxide Sensors (MOS) to volatile organic compounds (VOCs) changed with relative humidity (RH) by up to a factor of five over the range 19-90%RH and with an uncertainty in the correction of a factor two at any given RH. The short-term (second to minute) stabilities of MOS and electrochemical CO sensor responses were reasonable. During more extended use inter-sensor quantitative comparability was degraded due to unpredictable variability in individual sensor responses (to either measurand or interference or both) drifting over timescales of several hours to days. For timescales longer than a week identical sensors showed slow, often downwards, drifts in their responses which diverged across six CO sensors by up to 30% after two weeks. The measurement derived from the median sensor within clusters of 6, 8 and up to 21 sensors was evaluated against individual sensor performance and external reference values. The clustered approach maintained the cost competitiveness of a sensor device, but the median concentration from the ensemble of sensor signals largely eliminated the randomised hour-to-day response drift seen in individual sensors and excluded the effects of small numbers of poorly performing sensors that drifted significantly over longer time periods. The results demonstrate that for individual sensors to be optimally comparable to one another, and to reference instruments, they would likely require frequent calibration. The use of a cluster median value eliminates unpredictable medium term response changes, and other longer term outlier behaviours, extending the likely period needed between calibration and making a linear interpolation between calibrations more appropriate. Through the use of sensor clusters rather than individual sensors existing low cost technologies could deliver significantly improved quality of observations
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