Variable Selection and Model Averaging in Semiparametric Overdispersed Generalized Linear Models

We express the mean and variance terms in a double exponential regression model as additive functions of the predictors and use Bayesian variable selection to determine which predictors enter the model, and whether they enter linearly or flexibly. When the variance term is null we obtain a generalized additive model, which becomes a generalized linear model if the predictors enter the mean linearly. The model is estimated using Markov chain Monte Carlo simulation and the methodology is illustrated using real and simulated data sets.Comment: 8 graphs 35 page

Magnetic ordering in the layered oxyhalide Sr2NiO2Cl2

The full characterisation of the high-pressure-synthesised, metastable layered oxyhalide Sr2NiO2Cl2 is reported. It is comprised of infinite NiO2 layers along with double rock salt Sr2Cl2 layers and is closely related to the n = 1 Ruddlesden-Popper phases. At ambient temperature, it crystallises in the tetragonal space group I4/mmm with 2 formula units per unit cell with the basal lattice parameters a = b = 4.03417(2) Å and the stacking direction lattice parameter, c = 15.1058(1) Å. A tiny cusp in the temperature dependence of the magnetic susceptibility in a previous report suggested that this oxyhalide underwent long-range magnetic order and therefore contained high-spin Ni2+ ions. Powder neutron diffraction has confirmed that Sr2NiO2Cl2 is a localised-moment oxyhalide, adopting the high-spin S = 1 configuration with fully occupied dxz, dyz and dxy orbitals and partially occupied dz2 and dx2-y2 orbitals. The Ni2+ magnetic moments order antiferromagnetically below ≈ 180 K in a G-type arrangement on a √2a × √2a × c expansion of the nuclear cell with the propagation vector (½, ½, 0) and with a saturated long-range ordered magnetic moment of 1.57(7) μB per Ni2+ cation which is in line with previously calculated computational results and showing that the ligand field around the Ni2+ cation is not sufficiently anisotropic to drive it into the low-spin, diamagnetic configuration found for this d8 cation in square planar or highly elongated octahedral coordination

Novel DNA methylation profiles associated with key gene regulation and transcription pathways in blood and placenta of growth-restricted neonates

BB/H012494/1/ Biotechnology and Biological Sciences Research Counci

The awareness and usage of orthodontic apps and social media by orthodontists in the UK: A questionnaire-based study

OBJECTIVE: To assess the awareness and usage of mobile apps and social media among orthodontic clinicians to support patients with orthodontic treatment, support the professional development of orthodontists, and identify any relevant apps and social media platforms currently recommended to patients. DESIGN: Cross-sectional questionnaire-based study. SETTING: United Kingdom. METHODS: A questionnaire was developed and distributed to members of the British Orthodontic Society (BOS). To increase the response rate, the questionnaire was circulated at three time points between January and March 2020. RESULTS: A total of 149 orthodontists responded to the questionnaire (15% response rate) with 113 orthodontists completing all questions (11.4%). Of those who answered, 81% (n = 111) had been qualified for >10 years, 35% worked in practice (n = 48), 34% worked in a hospital (n = 47) and 26% worked in both hospital and practice (n = 36). The results indicated that 20% of clinicians (n = 22) used apps to support patients and 33% (n = 37) reported using apps for professional purposes. Brush DJ appeared to be the most popular patient focused app (39%, n = 18) whereas the IOTN (17%, n = 8), Invisalign (17%, n = 8) and Dental Monitoring apps (9%, n = 4) were the most popular clinician-focused apps. With regard to social media, 53% (n = 60) of respondents reported that they used social media to communicate generic orthodontic information and promote their practice to patients. The most commonly used social media platforms were Facebook and Instagram. Of respondents, 96% expressed a willingness to recommend an evidence-based mobile app to patients if available, and 88% were willing to recommend an evidence-based social media platform. CONCLUSIONS: Orthodontic clinicians are utilising mobile apps and social media to support both patients and their own professional development. There is a willingness to increase the use of evidence-based platforms and apps to support patients

Mediated amperometric immunosensing using single walled carbon nanotube forests

A prototype amperometric immunosensor was evaluated based on the adsorption of antibodies onto perpendicularly oriented assemblies of single wall carbon nanotubes called SWNT forests. The forests were self-assembled from oxidatively shortened SWNTs onto Nafion/iron oxide coated pyrolytic graphite electrodes. The nanotube forests were characterized using atomic force microscopy and resonance Raman spectroscopy. Anti-biotin antibody strongly adsorbed to the SWNT forests. In the presence of a soluble mediator, the detection limit for horseradish peroxidase (HRP) labeled biotin was 2.5 pmol ml[-1] (2.5 nM). Unlabelled biotin was detected in a competitive approach with a detection limit of 16 nmol ml[-1] (16 μM) and a relative standard deviation of 12%. The immunosensor showed low non-specific adsorption of biotin-HRP (approx. 0.1%) when blocked with bovine serum albumin. This immunosensing approach using high surface area, patternable, conductive SWNT assemblies may eventually prove useful for nano-biosensing arrays

Industry influence in healthcare harms patients: myth or maxim?

Healthcare is a major global industry accounting for a significant proportion of government spending. Drug and medical device manufacturers are publicly traded companies with a responsibility to their shareholders to maximise profits by increasing sales. In order to achieve this, industry exerts influence over every part of healthcare including academic research, medical education, clinical guideline development, physician prescribing and through direct interactions with patients. In contrast, healthcare services seek to provide effective, safe and evidence-based treatments. This article examines interactions with industry across these domains and seeks to identify mutually beneficial relationships and potential conflict leading to patient harms. Case studies are used to illustrate these interactions. There is no single solution for improving healthcare’s relationship with industry, although increased transparency has raised awareness of this issue. We briefly discuss some successful interventions that have been tried at national and regulatory level. While industry influence is widespread in healthcare and this has benefits for shareholders, healthcare practitioners have an ethical obligation to prioritise their patients’ best interests. Industry interactions with healthcare professionals have a valid role in product development and distribution, but industry sponsorship of healthcare education and practice, guideline development or regulatory decision-making can have harmful consequences for patients. Healthcare practitioners need to carefully consider these issues when deciding whether to collaborate with industry

Policy recommendations from the 13th ICABR conference on the emerging bioeconomy

The International Consortium on Agricultural Biotechnology Research held its 13th annual conference in Ravello, Italy in June 2009. The theme of the conference was the bioeconomy,and this topic was addressed through research presentations from academia, government, and industry. Numerous presentations from developing countries highlighted the benefits of agricultural biotechnology in these nations. The broad range of presentations provided a wealth of insights, resulting in three policy recommendations regarding future funding, international regulation, and technology transfer.global food crisis, biofuels, food safety, innovation

Evaluating Operational AVHRR Sea Surface Temperature Data at the Coastline Using Benthic Temperature Loggers

The nearshore coastal ocean is one of the most dynamic and biologically productive regions on our planet, supporting a wide range of ecosystem services. It is also one of the most vulnerable regions, increasingly exposed to anthropogenic pressure. In the context of climate change, monitoring changes in nearshore coastal waters requires systematic and sustained observations of key essential climate variables (ECV), one of which is sea surface temperature (SST). As temperature influences physical, chemical and biological processes within coastal systems, accurate monitoring is crucial for detecting change. SST is an ECV that can be measured systematically from satellites. Yet, owing to a lack of adequate in situ data, the accuracy and precision of satellite SST at the coastline are not well known. In a prior study, we attempted to address this by taking advantage of in situ SST measurements collected by a group of surfers. Here, we make use of a three year time-series (2014–2017) of in situ water temperature measurements collected using a temperature logger (recording every 30 min) deployed within a kelp forest (∼3 m below chart datum) at a subtidal rocky reef site near Plymouth, UK. We compared the temperature measurements with three other independent in situ SST datasets in the region, from two autonomous buoys located ∼7 km and ∼33 km from the coastline, and from a group of surfers at two beaches near the kelp site. The three datasets showed good agreement, with discrepancies consistent with the spatial separation of the sites. The in situ SST measurements collected from the kelp site and the two autonomous buoys were matched with operational Advanced Very High Resolution Radiometer (AVHRR) EO SST passes, all within 1 h of the in situ data. By extracting data from the closest satellite pixel to the three sites, we observed a significant reduction in the performance of AVHRR at retrieving SST at the coastline, with root mean square differences at the kelp site over twice that observed at the two offshore buoys. Comparing the in situ water temperature data with pixels surrounding the kelp site revealed the performance of the satellite data improves when moving two to three pixels offshore and that this improvement was better when using an SST algorithm that treats each pixel independently in the retrieval process. At the three sites, we related differences between satellite and in situ SST data with a suite of atmospheric variables, collected from a nearby atmospheric observatory, and a high temporal resolution land surface temperature (LST) dataset. We found that differences between satellite and in situ SST at the coastline (kelp site) were well correlated with LST and solar zenith angle; implying contamination of the pixel by land is the principal cause of these larger differences at the coastline, as opposed to issues with atmospheric correction. This contamination could be either from land directly within the pixel, potentially impacted by errors in geo-location, or possibly through thermal adjacency effects. Our results demonstrate the value of using benthic temperature loggers for evaluating satellite SST data in coastal regions, and highlight issues with retrievals at the coastline that may inform future improvements in operational products

Cancer immunoediting by the innate immune system in the absence of adaptive immunity

Cancer immunoediting is the process whereby immune cells protect against cancer formation by sculpting the immunogenicity of developing tumors. Although the full process depends on innate and adaptive immunity, it remains unclear whether innate immunity alone is capable of immunoediting. To determine whether the innate immune system can edit tumor cells in the absence of adaptive immunity, we compared the incidence and immunogenicity of 3'methylcholanthrene-induced sarcomas in syngeneic wild-type, RAG2, and RAG2x γc mice. We found that innate immune cells could manifest cancer immunoediting activity in the absence of adaptive immunity. This activity required natural killer (NK) cells and interferon γ (IFN-γ), which mediated the induction of M1 macrophages. M1 macrophages could be elicited by administration of CD40 agonists, thereby restoring editing activity in RAG2x γc mice. Our results suggest that in the absence of adaptive immunity, NK cell production of IFN-γ induces M1 macrophages, which act as important effectors during cancer immunoediting