To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The Variables and Slow Transients Survey (VAST) on the Australian Square Kilometre Array Pathfinder (ASKAP) is designed to detect highly variable and transient radio sources on timescales from 5 s to $\sim\!5$ yr. In this paper, we present the survey description, observation strategy and initial results from the VAST Phase I Pilot Survey. This pilot survey consists of $\sim\!162$ h of observations conducted at a central frequency of 888 MHz between 2019 August and 2020 August, with a typical rms sensitivity of $0.24\ \mathrm{mJy\ beam}^{-1}$ and angular resolution of $12-20$ arcseconds. There are 113 fields, each of which was observed for 12 min integration time, with between 5 and 13 repeats, with cadences between 1 day and 8 months. The total area of the pilot survey footprint is 5 131 square degrees, covering six distinct regions of the sky. An initial search of two of these regions, totalling 1 646 square degrees, revealed 28 highly variable and/or transient sources. Seven of these are known pulsars, including the millisecond pulsar J2039–5617. Another seven are stars, four of which have no previously reported radio detection (SCR J0533–4257, LEHPM 2-783, UCAC3 89–412162 and 2MASS J22414436–6119311). Of the remaining 14 sources, two are active galactic nuclei, six are associated with galaxies and the other six have no multi-wavelength counterparts and are yet to be identified.
Smartphone mHealth apps can help children with obesity modify their rate of eating(1) and monitor physical activity(2). However, owing to issues with adherence, mHealth interventions require rigorous feasibility testing(3).
Aim
To evaluate, using a randomised design, the feasibility and acceptability of a mHealth intervention to reduce rate of eating and track physical activity among children in treatment for obesity.
Methods
Children (9–16 years) with obesity (BMI ≥ 98th centile) were recruited at a tertiary healthcare centre. The Research Ethics Committee at Temple St. Children's University Hospital granted ethical approval. Upon completing informed consent and assent, participants completed 2-week baseline testing including anthropometry, rate of eating by Mandometer® and physical activity using myBigO app. Thereafter participants were randomised to:(1)Treatment: Usual clinical care + Mandometer® training or (2)Control: Usual clinical care. Gender and age (9.0–12.9 years and 13.0–16.9 years) stratifications were applied. After a 4-week treatment period, participants repeated the 2-week testing period. Feasibility measures included fidelity with planned recruitment, randomisation, and intervention delivery and attrition. Acceptability measures included objective clinical portal engagement data and feedback from participants.
Results
Of 20 recruited, eight were randomised to intervention and 12 to control, with no significant age, gender or BMI SDS differences between groups. At baseline, 7 intervention (87.5%) and 8 control (66.7%) participants recorded rate of eating. Eighteen participants (90%) registered with myBigO app, with 16 recording data successfully. Two had smartphones incompatible with myBigO (n = 1 intervention;n = 1 control) and two did not engage with myBigO app (n = 1 intervention;n = 1 control). Among 4 participants who completed Mandometer® intervention, dose received ranged from 7%-92% of planned meals. 37.5% intervention and 58.3% control participants completed post-intervention measures. Attrition was higher in the intervention (n = 5;62.5%) than control (n = 3;25%) group. Reasons cited for withdrawing included loss of interest (n = 3 intervention), child felt overwhelmed or self-conscious (n = 2 control), lack of time (n = 1 intervention), behavioural issue with child (n = 1 control), and family illness (n = 1 intervention). No significant age, gender or BMI SDS differences were observed between non-completers and completers. Participant engagement and feedback indicated mixed acceptability among this cohort.
Conclusion
Based on results, the current protocol for study design and intervention should be improved, if engagement is to be maximised.
The study is part of EU H2020 BigO Study (Big Data Against Childhood Obesity, Grant No. 727688.https://bigoprogram.eu/).
The placement of angiosperms and Gnetales in seed plant phylogeny remains one of the most enigmatic problems in plant evolution, with morphological analyses (which have usually included fossils) and molecular analyses pointing to very distinct topologies. Almost all morphology-based phylogenies group angiosperms with Gnetales and certain extinct seed plant lineages, while most molecular phylogenies link Gnetales with conifers. In this study, we investigate the phylogenetic signal present in published seed plant morphological data sets. We use parsimony, Bayesian inference, and maximum-likelihood approaches, combined with a number of experiments with the data, to address the morphological–molecular conflict. First, we ask whether the lack of association of Gnetales with conifers in morphological analyses is due to an absence of signal or to the presence of competing signals, and second, we compare the performance of parsimony and model-based approaches with morphological data sets. Our results imply that the grouping of Gnetales and angiosperms is largely the result of long-branch attraction (LBA), consistent across a range of methodological approaches. Thus, there is a signal for the grouping of Gnetales with conifers in morphological matrices, but it was swamped by convergence between angiosperms and Gnetales, both situated on long branches. However, this effect becomes weaker in more recent analyses, as a result of addition and critical reassessment of characters. Even when a clade including angiosperms and Gnetales is still weakly supported by parsimony, model-based approaches favor a clade of Gnetales and conifers, presumably because they are more resistant to LBA. Inclusion of fossil taxa weakens rather than strengthens support for a relationship of angiosperms and Gnetales. Our analyses finally reconcile morphology with molecules in favoring a relationship of Gnetales to conifers, and show that morphology may therefore be useful in reconstructing other aspects of the phylogenetic history of the seed plants.
Architecture and the Origins of Preclassic Maya Politics highlights the dramatic changes in the relationship of ancient Maya peoples to the landscape and to each other in the Preclassical period (ca. 2000 BC–250 AD). Offering a comprehensive history of Preclassic Maya society, James Doyle focuses on recent discoveries of early writing, mural painting, stone monuments, and evidence of divine kingship that have reshaped our understanding of cultural developments in the first millennium BC. He also addresses one of the crucial concerns of contemporary archaeology: the emergence of political authorities and their subjects in early complex polities. Doyle shows how architectural trends in the Maya Lowlands in the Preclassic period exhibit the widespread cross-cultural link between monumental architecture of imposing intent, human collaboration, and urbanism.
Better understanding of the functional biology of early angiosperms may clarify ecological factors surrounding their origin and early radiation. Phylogenetic studies identify Amborella, Nymphaeales (water lilies), Austrobaileyales, and Chloranthaceae as extant lineages that branched before the radiation of core angiosperms. Among living plants, these lineages may represent the best models for the ecology and physiology of early angiosperms. Here we combine phylogenetic reconstruction with new data on the morphology and ecophysiology of these plants to infer early angiosperm function. With few exceptions, Amborella, Austrobaileyales, and Chloranthaceae share ecophysiological traits associated with shady, disturbed, and wet habitats. These features include low and easily light-saturated photosynthetic rates, leaf anatomy related to the capture of understory light, small seed size, and clonal reproduction. Some Chloranthaceae, however, possess higher photosynthetic capacities and seedlings that recruit in canopy gaps and other sunny, disturbed habitats, which may have allowed Cretaceous Chloranthaceae to expand into more diverse environments. In contrast, water lilies possess ecophysiological features linked to aquatic, sunny habitats, such as absence of a vascular cambium, ventilating stems and roots, and floating leaves tuned for high photosynthetic rates in full sun. Nymphaeales may represent an early radiation into such aquatic environments. We hypothesize that the earliest angiosperms were woody plants that grew in dimly lit, disturbed forest understory habitats and/or shady streamside settings. This ecology may have restricted the diversity of pre-Aptian angiosperms and living basal lineages. The vegetative flexibility that evolved in the understory, however, may have been a key factor in their diversification in other habitats. Our inferences based on living plants are consistent with many aspects of the Early Cretaceous fossil record and can be tested with further study of the anatomy, chemistry, and sedimentological context of Early Cretaceous angiosperm fossils.