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Trade-offs between photosynthesis and the costs of resource capture inform economic strategies of plants across environmental gradients and result in predictable variation in leaf traits. However, understudied functional groups like hemiparasites that involve dramatically different strategies for resource capture may have traits that deviate from expectations. We measured leaf traits related to gas exchange in mistletoes and their eucalypt hosts along a climatic gradient in relative moisture supply, measured as the ratio of precipitation to pan evaporation (P/Ep), in Victoria, Australia. We compared traits for mistletoes vs. hosts as functions of relative moisture supply and examined trait-trait correlations in both groups. Eucalypt leaf traits responded strongly to decreasing P/Ep, consistent with economic theory. Leaf area and specific leaf area (SLA) decreased along the P/Ep gradient, while C:N ratio, leaf thickness, N per area, and δ13C all increased. Mistletoes responded overall less strongly to P/Ep based on multivariate analyses; individual traits sometimes shifted in parallel with those of hosts, but SLA, leaf thickness, and N per area showed no significant change across the gradient. For mistletoes, leaf thickness was inversely related to leaf dry matter content (LDMC), with no relationship between SLA and mass-based N. In mistletoes, reduced costs of transpiration (reflecting their lack of roots) and abundant succulent leaf tissue help account for observed differences from their eucalypt hosts. Trait-based analysis of atypical functional types such as mistletoes help refine hypotheses based on plant economics and specialized adaptations to resource limitation.

Materials to support researchers at the Wellcome Centre for Integrative Neuroimaging (WIN, University of Oxford) to share their data. Materials beingopenly developedin line with release of the WIN Open Data Portal. Please refer to the GitLab repository for most up-to-date materials and contributions:https://git.fmrib.ox.ac.uk/open-science/community/data-sharing-decision-tree Author contributions (CRediT): Conceptualization: Stuart Clare, Cassandra D. Gould van Praag, and Clare E. Mackay. Data curation: Cassandra D. Gould van Praag. Formal analysis: Cassandra D. Gould van Praag. Funding acquisition: Stuart Clare and Clare E. Mackay. Investigation: Cassandra D. Gould van Praag. Methodology: Stuart Clare, Cassandra D. Gould van Praag, and Clare E. Mackay. Project administration: Stuart Clare, Cassandra D. Gould van Praag, and Clare E. Mackay. Resources: Cassandra D. Gould van Praag. Software: Cassandra D. Gould van Praag. Supervision: Stuart Clare, Cassandra D. Gould van Praag, and Clare E. Mackay. Visualization: Cassandra D. Gould van Praag. Writing - original draft: Cassandra D. Gould van Praag. Writing - review & editing: Christoph Arthofer, Alon Baram, Stuart Clare, Michiel Cottaar, Matthijs H. S. de Buck, Cassandra D. Gould van Praag, Ludovica Griffanti, Clare E. Mackay, Duncan Mortimer, Duncan Smith, Mathew South, Benjamin C. Tendler, Mats W. J. van Es, Jessica Walsh, and Tom Whyntie.

Additional file 1: Figure S1. Chemical structure of oroxylin A and uncropped western blots.

Additional file 3. Professional role of participants attending nominal groups.

Additional file 4. The number and labels of the Behaviour Change Techniques (BCTs) mapped from each of the 9 Theoretical Domains Framework (TDF) domains of high importance.

Additional file 2. Facilitator’s guide for nominal groups.

Additional file 1. Information package for nominal group participants.

JOURNAL OF CURRENT SCIENCE AND TECHNOLOGY, 10, 1, 77-83

Additional file 1: Figure S1. Phylogenetic tree analysis of viruses used in this study. Table S1. List of dengue viruses and their provenance.

Additional file 1. Effect of acetyl-l-carnitine on DENV2 infection of HEK293T/17 and HepG2 cells.

Additional file 2. Effect of folic acid on DENV2 infection of HEK293T/17 and HepG2 cells.

Real-time PCR validation of siRNA mediated gene silencing of fatty acid synthase (FASN) gene. HEK293T/17 cells were not treated (mock) or treated with a siRNA control (GFP) or treated with one of four siRNAs directed to FASN (FASN1 to FASN 4). On days 1 to 5 post transfection the level of FASN transcript was determined by real time PCR. Normalization expression data relative to actin is shown. Bars show mean +/−SD. (a) 1 day post transfection, (b) 2 days post transfection, (c) 3 days post transfection, (d) 4 days post transfection and (e) 5 days post transfection. Bars show mean +/−SD (*; p value

List of gene specific primers (PDF 56 kb)

The West, Brown, Enquist (WBE) model derives symmetrically self-similar branching to predict metabolic scaling from hydraulic conductance, K, (a metabolism proxy) and tree mass (or volume, V). The original prediction was Kα V(0.75). We ask whether trees differ from WBE symmetry and if it matters for plant function and scaling. We measure tree branching and model how architecture influences K, V, mechanical stability, light interception and metabolic scaling. We quantified branching architecture by measuring the path fraction, Pf : mean/maximum trunk-to-twig pathlength. WBE symmetry produces the maximum, Pf = 1.0. We explored tree morphospace using a probability-based numerical model constrained only by biomechanical principles. Real tree Pf ranged from 0.930 (nearly symmetric) to 0.357 (very asymmetric). At each modeled tree size, a reduction in Pf led to: increased K; decreased V; increased mechanical stability; and decreased light absorption. When Pf was ontogenetically constant, strong asymmetry only slightly steepened metabolic scaling. The Pf ontogeny of real trees, however, was 'U' shaped, resulting in size-dependent metabolic scaling that exceeded 0.75 in small trees before falling below 0.65. Architectural diversity appears to matter considerably for whole-tree hydraulics, mechanics, photosynthesis and potentially metabolic scaling. Optimal architectures likely exist that maximize carbon gain per structural investment.

Reades J. and Smith D. A. Mapping the ‘space of flows’: the geography of global business telecommunications and employment specialization in the London mega-city-region, Regional Studies. Telecommunications has radically reshaped the way that firms organize industrial activity. And yet, because much of this technology – and the interactions that it enables – is invisible, the corporate ‘space of flows’ remains poorly mapped. This article combines detailed employment and telecoms usage data for the South-east of England to build a sector-by-sector profile of globalization at the mega-city-region scale. The intersection of these two datasets allows a new empirical perspective on industrial geography and regional structure to be developed.

We develop a simulation tool to support policy-decisions about healthcare for chronic diseases in defined populations. Incident disease-cases are generated in-silico from an age-sex characterised general population using standard epidemiological approaches. A novel disease-treatment model then simulates continuous life courses for each patient using discrete event simulation. Ideally, the discrete event simulation model would be inferred from complete longitudinal healthcare data via a likelihood or Bayesian approach. Such data is seldom available for relevant populations, therefore an innovative approach to evidence synthesis is required. We propose a novel entropy-based approach to fit survival densities. This method provides a fully flexible way to incorporate the available information, which can be derived from arbitrary sources. Discrete event simulation then takes place on the fitted model using a competing hazards framework. The output is then used to help evaluate the potential impacts of policy options for a given population., Comment: 24 pages, 13 figures, 11 tables

The 2-groups of coclass 1 are widely known and James (in 1975) looked at the 2-groups of coclass 2. Development of the p-group generation algorithm implemented by O'Brien at ANU enabled group presentations to be provided for the 2-groups of coclass 3 by Newman and O'Brien for groups of order up to 223. Newman and O'Brien (in 1999) conjectured the number of descendants of 2n for all n. They introduced the concept of a family, with each family related to a different pro-p-group and the concept of a sporadic p-group, a p-group external to any family. They found 1782 sporadic 2-groups with order at most 214. The 70 families of 2-groups of coclass 3 can be further split according to their period, a measure of the repetitive structure of the families. Newman and O'Brien conjectured that these families had periods of 1, 2 or 4. This thesis examines the 2-groups of coclass 3 contained in families with period 1 and shows that the number of descendants conjectured by Newman and O'Brien is correct. Furthermore the presentation of all groups contained in period 1 families is provided and shown to be correct.

Mitotic exit integrates the reversal of the phosphorylation events initiated by mitotic kinases with a controlled cytokinesis event that cleaves the cell in two. The mitotic exit network (MEN) of budding yeast regulates both processes, whereas the fission yeast equivalent, the septum initiation network (SIN), controls only the execution of cytokinesis. The components and architecture of the SIN and MEN are highly conserved(1). At present, it is assumed that the functions of the core SIN-MEN components are restricted to their characterized roles at the end of mitosis. We now show that the NDR (nuclear Dbf2-related) kinase component of the fission yeast SIN, Sid2-Mob1, acts independently of the other known SIN components in G2 phase of the cell cycle to control the timing of mitotic commitment. Sid2-Mob1 promotes mitotic commitment by directly activating the NIMA (Never In Mitosis)-related kinase Fin1. Fin1's activation promotes its own destruction, thereby making Fin1 activation a transient feature of G2 phase. This spike of Fin1 activation modulates the activity of the Pom1/Cdr1/Cdr2 geometry network towards Wee1.