Believe the HiPe : hierarchical Perturbation for fast, robust, and model-agnostic saliency mapping

This work is supported by the Industrial Centre for AI Research in Digital Diagnostics (iCAIRD) which is funded by Innovate UK on behalf of UK Research and Innovation (UKRI) [project number: 104690].Understanding the predictions made by Artificial Intelligence (AI) systems is becoming more and more important as deep learning models are used for increasingly complex and high-stakes tasks. Saliency mapping – a popular visual attribution method – is one important tool for this, but existing formulations are limited by either computational cost or architectural constraints. We therefore propose Hierarchical Perturbation, a very fast and completely model-agnostic method for interpreting model predictions with robust saliency maps. Using standard benchmarks and datasets, we show that our saliency maps are of competitive or superior quality to those generated by existing model-agnostic methods – and are over 20× faster to compute.Publisher PDFPeer reviewe

Electrical output of bryophyte microbial fuel cell systems is sufficient to power a radio or an environmental sensor.

Plant microbial fuel cells are a recently developed technology that exploits photosynthesis in vascular plants by harnessing solar energy and generating electrical power. In this study, the model moss species Physcomitrella patens, and other environmental samples of mosses, have been used to develop a non-vascular bryophyte microbial fuel cell (bryoMFC). A novel three-dimensional anodic matrix was successfully created and characterized and was further tested in a bryoMFC to determine the capacity of mosses to generate electrical power. The importance of anodophilic microorganisms in the bryoMFC was also determined. It was found that the non-sterile bryoMFCs operated with P. patens delivered over an order of magnitude higher peak power output (2.6 ± 0.6 µW m-2) than bryoMFCs kept in near-sterile conditions (0.2 ± 0.1 µW m-2). These results confirm the importance of the microbial populations for delivering electrons to the anode in a bryoMFC. When the bryoMFCs were operated with environmental samples of moss (non-sterile) the peak power output reached 6.7 ± 0.6 mW m-2. The bryoMFCs operated with environmental samples of moss were able to power a commercial radio receiver or an environmental sensor (LCD desktop weather station).The authors are grateful for funding provided by the UK Engineering and Physical Sciences Research Council (EPSRC) (P.B., A.G.S. and C.J. Howe), EnAlgae (http://www.enalgae.eu/, INTERREG IVB NWE) (P.B. and C.J. Howe), the Royal Society URF (C.J. Harrison), the Gatsby Charitable Foundation (Fellowship GAT2962) (C.J. Harrison), the Leverhulme Trust (P.B. and C.J. Howe), the Shuttleworth Foundation (P.B.) and the Department of Science and Technology and the National Research Foundation of South Africa through the South African Research Chair Initiative Chair in Bioprocess Engineering (UID 64778) (S.T.L.H. and D.M.R.I.).This is the final version of the article. It first appeared from the Royal Society Publishing via https://doi.org/10.1098/rsos.16024

Potential ecological impacts of climate intervention by reflecting sunlight to cool Earth

As the effects of anthropogenic climate change become more severe, several approaches for deliberate climate intervention to reduce or stabilize Earth’s surface temperature have been proposed. Solar radiation modification (SRM) is one potential approach to partially counteract anthropogenic warming by reflecting a small proportion of the incoming solar radiation to increase Earth’s albedo. While climate science research has focused on the predicted climate effects of SRM, almost no studies have investigated the impacts that SRM would have on ecological systems. The impacts and risks posed by SRM would vary by implementation scenario, anthropogenic climate effects, geographic region, and by ecosystem, community, population, and organism. Complex interactions among Earth’s climate system and living systems would further affect SRM impacts and risks. We focus here on stratospheric aerosol intervention (SAI), a well-studied and relatively feasible SRM scheme that is likely to have a large impact on Earth’s surface temperature. We outline current gaps in knowledge about both helpful and harmful predicted effects of SAI on ecological systems. Desired ecological outcomes might also inform development of future SAI implementation scenarios. In addition to filling these knowledge gaps, increased collaboration between ecologists and climate scientists would identify a common set of SAI research goals and improve the communication about potential SAI impacts and risks with the public. Without this collaboration, forecasts of SAI impacts will overlook potential effects on biodiversity and ecosystem services for humanity

Comparison of Bioimpedance Analysis and Dual Energy X-Ray Absorptiometry in Division III Football Athletes

Body composition is an integral component of physiology and pathology, as well as an indication of how the musculoskeletal system changes over time in response to training and/or nutritional modifications. Two common methods of estimating body composition include bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DXA). There is a debate regarding the agreement between these two methods, and it is thought that the population being tested may influence the similarity of estimates obtained by these technologies. Limited data comparing these two methodologies in athletic populations are available. PURPOSE: The purpose of this study was to take examine the agreement between BIA and DXA for estimates of body mass (BM) and body fat percentage (BF%). METHODS: Forty-three division III football players (mean ± SD; age: 19.9 ± 1.7 y; height: 179.7 ± 7.4 cm; BM: 100.3 ± 21.9 kg; DXA BF%: 21.8 ± 7.1%) reported to the Human Performance Lab after abstaining from exercise for the previous 24 hours and fasting from food/beverages (except water) for 12 hours. After an initial height assessment, BM and BF% were assessed using both BIA (Inbody 770) and DXA (Hologic Horizon W). BIA was performed in the standing position using an 8-point electrode arrangement. The electrode panels were placed at the hands and feet. DXA was performed with the participants in a supine position and hips internally rotated. Differences in BM and BF% from DXA and BIA were compared using paired-samples t-tests, Bland-Altman analysis, and validity metrics. RESULTS: BM detected by DXA was significantly lower than BM obtained from the BIA scale (DXA: 98.2 ± 20.8 kg, BIA: 100.3 ± 21.9 kg; p \u3c 0.001). Additionally, Bland-Altman analysis indicated significantly greater underestimation of BM by DXA in individuals with higher BM values (slope: 0.053; p \u3c 0.001). BF% did not significantly differ between DXA and BIA (DXA: 21.8 ± 7.1%, BIA: 21.8 ± 8.4%; p = 0.86). However, Bland-Altman analysis indicated significant proportional bias, with underestimations of BF% by BIA in leaner individuals but overestimations of BF% in those with higher BF% (slope: 0.176; p = 0.005). The total error and 95% limits of agreement for BF% were 3.2% and ± 6.4%, respectively. CONCLUSION: This study demonstrates that although DXA and BIA exhibit good group-level agreement for BF%, several inconsistencies between these methodologies are present. Estimates of BM differed between technologies. Additionally, proportional bias for BF% was observed indicating different levels of agreement between DXA and BIA depending on the body fat of the individuals being tested. Based on these findings, caution should be employed when interpreting data from DXA and BIA assessments in athletic populations

Biguanide iridium(III) complexes with potent antimicrobial activity

We have synthesized novel organoiridium(III) antimicrobial complexes containing a chelated biguanide, including the antidiabetic drug metformin. These 16- and 18-electron complexes were characterized by NMR, ESI-MS, elemental analysis, and X-ray crystallography. Several of these complexes exhibit potent activity against Gram-negative bacteria and Gram-positive bacteria (including methicillin-resistant Staphylococcus aureus (MRSA)) and high antifungal potency toward C. albicans and C. neoformans, with minimum inhibitory concentrations (MICs) in the nanomolar range. Importantly, the complexes exhibit low cytotoxicity toward mammalian cells, indicating high selectivity. They are highly stable in broth medium, with a low tendency to generate resistance mutations. On coadministration, they can restore the activity of vancomycin against vancomycin-resistant Enterococci (VRE). Also the complexes can disrupt and eradicate bacteria in mature biofilms. Investigations of reactions with biomolecules suggest that these organometallic complexes deliver active biguanides into microorganisms, whereas the biguanides themselves are inactive when administered alone

Characterising Chinese Ru ware in the Sir Percival David collection at the British Museum using handheld XRF analysis

Ru ware is a very rare and highly prized stoneware from the end of the Northern Song period of China (960–1127 CE). Stylistic and art historical work by Regina Krahl (2021) suggests that a brush washer in the Sir Percival David Collection, housed in the British Museum, might be Ru rather than Korean Goryeo ware as previously thought. This paper reports the analysis of the glaze of this piece by handheld XRF in comparison with 10 pieces of Ru and 10 pieces of Goryeo ware. Despite the compositional similarity of the glazes, the analysis was able to show conclusively that the piece is Ru ware. The work has implications for the analysis of Chinese stoneware and beyond, showing that it may be possible (under the right conditions) to distinguish different productions relatively quickly and easily

Recovery Strategies in Endurance Athletes

In order to achieve optimal performance, endurance athletes, whether at the professional or recreational level, need to implement a variety of recovery strategies that are specific to their individual training and competition. Recovery is a multidimensional process involving physiological, psychological, emotional, social, and behavioral aspects. PURPOSE: The purpose of the current study is to examine current implementation, beliefs, and sources of information associated with recovery strategies in endurance athletes. METHODS: Participants included 240 self-identified endurance athletes (m=112, f=126, non-binary=1, and preferred not to answer=1) across different sports (cycling=57, running=100, triathlon = 61, other=22; pro=13, current/former collegiate athlete=67, recreational=160). The participants ranged in age from 18 to 79 years old (40.7±13.73) and were primarily white (n=213). Participants completed an online survey through Qualtrics on demographics, recovery strategies used in practice and competition, perceived benefit of the strategy, and their sources of information regarding recovery strategies. RESULTS: Hydration was the most frequently reported recovery strategy in both training (91.3%, n = 219) and competition r (80.4%, n = 193). Nutrition followed in training (78.8%, n = 189) and competition (78.3%, n = 188). Sleep was the third most utilized strategy in training (77.9%, n = 187) and competition (76.7%, n = 184). The least used recovery strategy was ultrasound in training (1.3%, n = 3) and competition (1.7% n = 4). Chi-squared analyses showed no significant differences between training and competition for the use of the recovery strategies. Hydration was reported as a beneficial recovery strategy after practice (96.5%, n = 223) and competition (94.7%, n = 200) by the greatest percentage of participants, with sleep the second most frequently considered beneficial (91.4%, n = 213; 92.5%, n = 199), followed by nutrition (91.3%, n = 211; 92.5%, n = 198). The participants were most likely to get their information about recovery strategies from a fellow athlete (46.3%, n = 111), a coach (42.5%, n = 102), or a website (30.4%, n = 74). CONCLUSION: Hydration is the most common recovery strategy and found to be beneficial in both training and competition settings. These athletes are relying on the people around them and websites for information and recommendations. Endurance athletes should be educated on other strategies to address the multidimensionality of recovery. These findings will be useful for healthcare professionals, practitioners, and coaches in understanding recovery strategies in endurance athletes

Recalculation of dose for each fraction of treatment on TomoTherapy.

OBJECTIVE: The VoxTox study, linking delivered dose to toxicity requires recalculation of typically 20-37 fractions per patient, for nearly 2000 patients. This requires a non-interactive interface permitting batch calculation with multiple computers. METHODS: Data are extracted from the TomoTherapy(®) archive and processed using the computational task-management system GANGA. Doses are calculated for each fraction of radiotherapy using the daily megavoltage (MV) CT images. The calculated dose cube is saved as a digital imaging and communications in medicine RTDOSE object, which can then be read by utilities that calculate dose-volume histograms or dose surface maps. The rectum is delineated on daily MV images using an implementation of the Chan-Vese algorithm. RESULTS: On a cluster of up to 117 central processing units, dose cubes for all fractions of 151 patients took 12 days to calculate. Outlining the rectum on all slices and fractions on 151 patients took 7 h. We also present results of the Hounsfield unit (HU) calibration of TomoTherapy MV images, measured over an 8-year period, showing that the HU calibration has become less variable over time, with no large changes observed after 2011. CONCLUSION: We have developed a system for automatic dose recalculation of TomoTherapy dose distributions. This does not tie up the clinically needed planning system but can be run on a cluster of independent machines, enabling recalculation of delivered dose without user intervention. ADVANCES IN KNOWLEDGE: The use of a task management system for automation of dose calculation and outlining enables work to be scaled up to the level required for large studies.JES is supported by Cancer Research UK through the Cambridge Cancer Centre. MR, AB and KH are supported by Cancer Research UK through the VoxTox Research Programme. NGB is supported by the NIHR Cambridge Biomedical Research Centre.This is the author accepted manuscript. The final version is available from British Institute of Radiology via http://dx.doi.org/10.1259/bjr.2015077