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GI4RAQ Pathfinder Outputs
Get PDFThe University of Birmingham's Institute of Forest Research (BIFoR) is developing a 'GI4RAQ' platform to predict quantitatively the impact of strategic green infrastructure (GI) on roadside air quality (RAQ) at planning. Available to download here are three outputs (four files) from the NERC Innovation Pathfinder project (ref. NE/S00582X/1), in which James Levine and Rob MacKenzie scoped the development of this platform: GI4RAQ Synthesis Report (.pdf) and Appendix (.pdf); GI4RAQ Platform Prototype (.pps); and GI4RAQ Market Assessment (.pdf) BIFoR is developing this platform as part of its mission to highlight the role for trees in sustainable living on a planet with finite resources. For further information, please contact James Levine (email: [email protected])
MrBayes consensus tree for John 2 (automatic collation)
Get PDFMrBayes consensus tree for John 2. The data is from the IGNTP transcriptions, automatically collated using CollateX using the Needleman-Wunsch algorithm
Dataset to accompany the manuscript: Depressive symptoms, socially anxious symptoms, psychosocial maturity, and risk perception associations with risk-taking behaviour.
No full textReimagining Health Law
Get PDFOn the 11th September 2018 a Reimagining Health Law Workshop took place at the Birmingham Law School. The Workshop aimed to explore the discipline of health law from a range of perspectives: doctrinal/historical/critical. Health law is a relatively young discipline, which has emerged from a backdrop of “Medical” and “Health Care “ law and has developed rapidly in recent decades. The purpose of the meeting was to consider the disciplinary interface within and outside law, i.e. health law’s connection to other legal fields, its relationship with bioethics, humanities, and social sciences, and their impact on the health law methodology. In particular the speakers addressed a number of pressing questions that have influenced the field in the past and will shape it in future
Jabba fibre conversion at Carnarvon in 2018 April
Get PDFJabba was offline due to an internal water leak destroying the main power and signal pass-through PCBs at the rear of the spectrometer. Repairs were completed, including new PCBs and cabling, to bring Jabba back online. The aft starboard Peltier-effect thermoelectric coolers were replaced. Mark-V and Jabba were removed from the mount. Mark-V has been moved into storage, and Jabba reinstalled in the electronics area at the rear of the dome fed by an optical fibre where it no longer requires water cooling. Additional repair work was completed to the mount RA drive transmission including replacing the stepper motor and gearbox, and also replacing the RA potentiometer encoder and signal cable. A new UPS was installed. Ongoing issues with the fibre conversion require further work
Hannibal vapour cell replaced at Las Campanas in 2018 October
Get PDFThe toroidal transformer power supply in the weather module failed and was replaced. The transformer failure caused the supply fuse for the main electronics rack to blow, additionally removing power from all other modules including the thermocouple sensor amplifiers within the Hannibal spectrometer. Whilst the sensors were without power, the vapour cell oven became overheated and caused damage to the vapour cell. The cell was replaced with the last available spare. The two UPS devices were tested and both found to require new batteries
Investigating the distribution of back muscle activity during a fatiguing task in people with low back pain
Get PDFPeople with chronic low back pain (CLBP) move differently and display changes in the activity of their back muscles, which may have implications for ongoing symptoms. Utilising a novel method to measure the distribution of back muscle activity, we investigated whether people with CLBP engage different regions of their back muscles during a sustained contraction. Back muscle activity was recorded from 13 people with CLBP and 13 healthy control participants as they completed a timed back extension endurance test until task failure. People with CLBP sustained the contraction for 95.6s less than the control participants. During the task, CLBP participants showed a lower level of activation of their back muscles and a lower level of redistribution of muscle activity over the task duration. These results show that the CLBP group used a different muscle strategy to perform the task, which may have relevance for ongoing pain and more rapid fatigue
Utilization of spatial derivative measurements in circular diffuse optical tomographic imaging to improve image resolution and contrast
No full textThe resolution of images recovered using diffuse optical tomography without spatial prior information is inherently limited due to the diffusive nature of light transport in scattering dominated biological tissue. Several studies have previously reported an improvement in depth sensitivity in near infra-red spectroscopy by considering the subtraction of two neighbouring measurements. A nearest neighbour, spatial derivative based algorithm is presented, in which the difference between neighbouring source-sharing source-detector pairs is considered for tomographic reconstruction. Using a circular, inward-facing optode geometry, it is shown that deeper abnormalities in oxyhaemoglobin, deoxyhaemoglobin and water can be recovered with better localisation and contrast as compared to reconstructing using absolute values of multi-wavelength data. Relative improvements of up to 25% in quantitative accuracy of recovered physiological values are demonstrated at better resolution for cancerous tissue in a heterogeneous breast model, when using this proposed spatial derivative based parameter reconstruction
"Global Stemma" with initial text removed, for ECM John as of 31 October 2017
Get PDFThis CBGM "Global Stemma" with the initial text (A) removed represents an interim stage in the ECM of John, as of 31 October 2017
Mesquite consensus tree of John 1
Get PDFConsensus tree for Maximum Parsimony trees for John chapter 1 created using Mesquite. The data is from the IGNTP transcriptions, automatically collated using CollateX using the Needleman-Wunsch algorithm
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