Evaluating potential policies for the UK perennial energy crop market to achieve carbon abatement and deliver a source of low carbon electricity

The electricity infrastructure in many developed countries requires significant investment to meet ambitious carbon emissions reduction targets, and to bridge the gap between future supply and demand. Perennial energy crops have the potential to deliver electricity generation capacity while reducing carbon emissions, leading to polices supporting the adoption of these crops. In the UK, for example, support has been in place over the past decade, although uptake and the market development have so far been relatively modest. This paper combines biophysical and socio-economic process representations within an agent-based model (ABM), to offer insights into the dynamics of the development of the perennial energy crop market. Against a changing policy landscape, several potential policy scenarios are developed to evaluate the cost-effectiveness of the market in providing a source of low carbon renewable electricity, and to achieve carbon emissions abatement. The results demonstrate the key role of both energy and agricultural policies in stimulating the rate and level of uptake; consequently influencing the cost-effectiveness of these measures. The UK example shows that energy crops have the potential to deliver significant emissions abatement (up to 24 Mt carbon dioxide equivalent year-1, 4% of 2013 UK total emissions), and renewable electricity (up to 29 TWh year-1, 8% of UK electricity or 3% of primary energy demand), but a holistic assessment of related policies is needed to ensure that support is cost-effective. However, recent policy developments suggest that domestically grown perennial energy crops will only play a niche role (<0.2%) of the UK energy balance

Testing the genomic overlap between intraspecific mating traits and interspecific mating barriers

Funding: BBSRC (grant number BB/S019669/1) and NERC (grant numbers NE/I027800/1, NE/L011255/1, NE/T014806/1 and NE/W001616/1).Differences in interspecific mating traits, such as male sexual signals and female preferences, often evolve quickly as initial barriers to gene flow between nascent lineages, and they may also strengthen such barriers during secondary contact via reinforcement. However, it is an open question whether loci contributing to intraspecific variation in sexual traits are co-opted during the formation and strengthening of mating barriers between species. To test this, we used a population genomics approach in natural populations of Australian cricket sister species that overlap in a contact zone: Teleogryllus oceanicus and Teleogryllus commodus. First, we identified loci associated with intraspecific variation in T. oceanicus mating signals: advertisement song and cuticular hydrocarbon (CHC) pheromones. We then separately identified candidate interspecific barrier loci between the species. Genes showing elevated allelic divergence between species were enriched for neurological functions, indicating potential behavioral rewiring. Only two CHC-associated genes overlapped with these interspecific candidate barrier loci, and intraspecific CHC loci showed signatures of being under strong selective constraints between species. In contrast, 10 intraspecific song-associated genes showed high genetic differentiation between T. commodus and T. oceanicus, and 2 had signals of high genomic divergence. The overall lack of shared loci in intra vs. interspecific comparisons of mating trait and candidate barrier loci is consistent with limited co-option of the genetic architecture of interspecific mating signals during the establishment and maintenance of reproductive isolation.Peer reviewe

SU(3) centre vortices underpin confinement and dynamical chiral symmetry breaking

The mass function of the nonperturbative quark propagator in SU(3) gauge theory shows only a weak dependence on the vortex content of the gauge configurations. Of particular note is the survival of dynamical mass generation on vortex-free configurations having a vanishing string tension. This admits the possibility that mass generation associated with dynamical chiral symmetry breaking persists without confinement. In this presentation, we examine the low-lying ground-state hadron spectrum of the pi, rho, N and Delta and discover that while dynamical mass generation persists in the vortex-free theory, it is not connected to dynamical chiral symmetry breaking. In this way, centre vortices in SU(3) gauge theory are intimately linked to both confinement and dynamical chiral symmetry breaking. We conclude that centre vortices are the essential underlying feature of the QCD vacuum.Comment: 7 pages, 8 figues. Manuscript accepted for Publication in Phys. Rev.

Content analysis of promotional material for asthma-related products and therapies on Instagram

BACKGROUND: Increasingly, social media is a source for information about health and disease self-management. We conducted a content analysis of promotional asthma-related posts on Instagram to understand whether promoted products and services are consistent with the recommendations found in the Global Initiative for Asthma (GINA) 2019 guidelines. METHODS: We collected every Instagram post incorporating a common, asthma-related hashtag between September 29, 2019 and October 5, 2019. Of these 2936 collected posts, we analyzed a random sample of 266, of which, 211 met our inclusion criteria. Using an inductive, qualitative approach, we categorized the promotional posts and compared each post\u27s content with the recommendations contained in the 2019 GINA guidelines. Posts were categorized as consistent with GINA if the content was supported by the GINA guidelines. Posts that promoted content that was not recommended by or was unrelated to the guidelines were categorized as not supported by GINA . RESULTS: Of 211 posts, 89 (42.2%) were promotional in nature. Of these, a total of 29 (32.6%) were categorized as being consistent with GINA guidelines. The majority of posts were not supported by the guidelines. Forty-one (46.1%) posts promoted content that was not recommended by the current guidelines. Nineteen (21.3%) posts promoted content that was unrelated to the guidelines. The majority of unsupported content promoted non-pharmacological therapies (n = 39, 65%) to manage asthma, such as black seed oil, salt-room therapy, or cupping. CONCLUSIONS: The majority of Instagram posts in our sample promoted products or services that were not supported by GINA guidelines. These findings suggest a need for providers to discuss online health information with patients and highlight an opportunity for providers and social media companies to promote evidence-based asthma treatments and self-management advice online

Preconditioning Maximal Center Gauge with Stout Link Smearing in SU(3)

Center vortices are studied in SU(3) gauge theory using Maximal Center Gauge (MCG) fixing. Stout link smearing and over-improved stout link smearing are used to construct a preconditioning gauge field transformation, applied to the original gauge field before fixing to MCG. We find that preconditioning successfully achieves higher gauge fixing maxima. We observe a reduction in the number of identified vortices when preconditioning is used, and also a reduction in the vortex-only string tension.Comment: 9 pages, 4 figure

Failure to Preserve β-Cell Function With Mycophenolate Mofetil and Daclizumab Combined Therapy in Patients With New- Onset Type 1 Diabetes

OBJECTIVE This trial tested whether mycophenolate mofetil (MMF) alone or with daclizumab (DZB) could arrest the loss of insulin-producing β-cells in subjects with new-onset type 1 diabetes. RESEARCH DESIGN AND METHODS A multi-center, randomized, placebo-controlled, double-masked trial was initiated by Type 1 Diabetes TrialNet at 13 sites in North America and Europe. Subjects diagnosed with type 1 diabetes and with sufficient C-peptide within 3 months of diagnosis were randomized to either MMF alone, MMF plus DZB, or placebo, and then followed for 2 years. The primary outcome was the geometric mean area under the curve (AUC) C-peptide from the 2-h mixed meal tolerance test. RESULTS One hundred and twenty-six subjects were randomized and treated during the trial. The geometric mean C-peptide AUC at 2 years was unaffected by MMF alone or MMF plus DZB versus placebo. Adverse events were more frequent in the active therapy groups relative to the control group, but not significantly. CONCLUSIONS Neither MMF alone nor MMF in combination with DZB had an effect on the loss of C-peptide in subjects with new-onset type 1 diabetes. Higher doses or more targeted immunotherapies may be needed to affect the autoimmune process

Passive solid state microdosimeter with electronic readout

Apparatus and method for qualitatively and quantitatively analyzing a complex radiation field are provided. A passive microdosimetry detector device records the energy deposition of incident radiation using an array of microstructure non-volatile memory devices. Each microstructure non-volatile memory device is capable of storing a predetermined initial charge without requiring a power source. A radiation particle incident to a microstructure non-volatile memory device is termed an event . Each such event may generate a charge within a sensitive volume defined by the microstructure non-volatile memory device. The charge generated within the sensitive volume alters the stored initial charge by an amount falling within a range corresponding to the energy deposited by certain particle types. Data corresponding to such charge alterations for a plurality of microstructure non-volatile memory devices within an array of such devices are presented to a qualitative analyzing device. The qualitative analyzing device converts the data to a spectral analysis of the incident radiation field by applying ICRP-recommended weighting factors to individual events or approximations thereof

Natural Hazards in a Changing World: Methods for Analyzing Trends and Non-Linear Changes

Estimating the frequency and magnitude of natural hazards largely hinges on stationary models, which do not account for changes in the climatological, hydrological, and geophysical baseline conditions. Using five diverse case studies encompassing various natural hazard types, we present advanced statistical and machine learning methods to analyze and model transient states from long-term inventory data. A novel storminess metric reveals increasing European winter windstorm severity from 1950 to 2010. Non-stationary extreme value models quantify trends, seasonal shifts, and regional differences in extreme precipitation for Germany between 1941 and 2021. Utilizing quantile sampling and empirical mode decomposition on 148 years of daily weather and discharge data in the European Alps, we assess the impacts of changing snow cover, precipitation, and anthropogenic river network modifications on river runoff. Moreover, a probabilistic framework estimates return periods of glacier lake outburst floods in the Himalayas, demonstrating large differences in 100-year flood levels. Utilizing a Bayesian change point algorithm, we track the onset of increased seismicity in the southern central United States and find correlation with wastewater injections into deep wells. In conclusion, data science reveals transient states for very different natural hazard types, characterized by diverse forms of change, ranging from gradual trends to sudden change points and from altered seasonality to overall intensity variations. In synergy with the physical understanding of Earth science, we gain important new insights into the dynamics of the studied hazards and their possible mechanisms

Changes in longer consultations for children in general practice

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/97524/1/jpc12157.pd

Accuracy of rapid radiographic film calibration for intensity‐modulated radiation therapy verification

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135342/1/acm20086.pd