255 research outputs found

    Delivering the last mile : scoping the potential for E-cargo bikes

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    Transport is a major contributor to urban greenhouse gas emissions and therefore of priority in mitigating climate change. In responding to multiple pressures that include development, population growth and recent marked increases in online shopping, cities must identify new technologies to reduce emissions and improve freight efficiency, whilst enabling people and goods to reach their destinations. E-cargo bikes are an emerging technology with a low carbon footprint and lower running costs when compared with vans. They demonstrate increased potential to avoid contributing to, and being delayed by, traffic congestion. In comparison to conventional bikes, the combination of an electric-assist motor and larger frame offers the capacity to carry bulkier and heavier objects over longer distances. There is scope for businesses to use the vehicles for local deliveries and for the bikes to be used in connection with distribution hubs to provide a sustainable last mil

    ‘Why would you swap your nice warm van, where you can eat your butties and listen to the radio?’ Mainstreaming a niche of cycle logistics in the United Kingdom

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    Due to a high level of dependency on fossil fuels, transport is not only a priority for decarbonsation but also a particularly challenging sector to decarbonise. Significant low-carbon energy transitions in mobility will require changes in practices, technologies, infrastructure and policy. Cycle logistics is a growing economic sector. E-cargo bikes have the potential to replace some delivery and service journeys and to be used in combination with other transport modes to form a network of low-carbon deliveries. In comparison with conventional cargo bikes, e-cargo bikes are adapted with electric assist motors, thereby enabling the carriage of heavier loads over longer distances with lower physical strain on the rider. This study positions e-cargo bikes as an emerging technology within the Multilevel Perspective (MLP), a framework for understanding sustainable transitions that is structured around three levels: niche, regime and landscape. The Covid-19 pandemic has caused a landscape-level shock that has prompted an interest in increasing active travel and local deliveries. E-cargo bikes are a niche technology, and, although they respond to landscape-level trends, such as decarbonisation and air pollution reduction, the development of cycle logistics faces challenges stemming from the dominant automobility regime. There are limitations with e-cargo bikes themselves, although the technology and practice of e-cargo bike use are developing rapidly; there are factors that relate to the ability of the regime to accommodate and support the niche; there are considerations relating to practices and perceptions; and, finally, there are policy choices that reflect a lack of proactivity in encouraging and enabling e-cargo bike use. The paper explores experiences and perceptions of actual and potential e-cargo bike use and configures the MLP and the relationship between niche, regime(s) and landscape in relation to mobility transitions

    Vitamin D content of australian native food plants and australian-grown edible seaweed

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    Vitamin D has previously been quantified in some plants and algae, particularly in leaves of the Solanaceae family. We measured the vitamin D content of Australian native food plants and Australian-grown edible seaweed. Using liquid chromatography with triple quadrupole mass spectrometry, 13 samples (including leaf, fruit, and seed) were analyzed in duplicate for vitamin D2, vitamin D3, 25-hydroxyvitamin D2, and 25-hydroxyvitamin D3. Five samples contained vitamin D2: raw wattleseed (Acacia victoriae) (0.03 µg/100 g dry weight (DW)); fresh and dried lemon myrtle (Backhousia citriodora) leaves (0.03 and 0.24 µg/100 g DW, respectively); and dried leaves and berries of Tasmanian mountain pepper (Tasmannia lanceolata) (0.67 and 0.05 µg/100 g DW, respectively). Fresh kombu (Lessonia corrugata) contained vitamin D3(0.01 µg/100 g DW). Detected amounts were low; however, it is possible that exposure to ultraviolet radiation may increase the vitamin D content of plants and algae if vitamin D precursors are present

    ‘Why would you swap your nice warm van, where you can eat your butties and listen to the radio?’ Mainstreaming a niche of cycle logistics in the United Kingdom

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    Due to a high level of dependency on fossil fuels, transport is not only a priority for decarbonsation but also a particularly challenging sector to decarbonise. Significant low-carbon energy transitions in mobility will require changes in practices, technologies, infrastructure and policy. Cycle logistics is a growing economic sector. E-cargo bikes have the potential to replace some delivery and service journeys and to be used in combination with other transport modes to form a network of low-carbon deliveries. In comparison with conventional cargo bikes, e-cargo bikes are adapted with electric assist motors, thereby enabling the carriage of heavier loads over longer distances with lower physical strain on the rider.This study positions e-cargo bikes as an emerging technology within the Multilevel Perspective (MLP), a framework for understanding sustainable transitions that is structured around three levels: niche, regime and landscape. The Covid-19 pandemic has caused a landscape-level shock that has prompted an interest in increasing active travel and local deliveries. E-cargo bikes are a niche technology, and, although they respond to landscape-level trends, such as decarbonisation and air pollution reduction, the development of cycle logistics faces challenges stemming from the dominant automobility regime. There are limitations with e-cargo bikes themselves, although the technology and practice of e-cargo bike use are developing rapidly; there are factors that relate to the ability of the regime to accommodate and support the niche; there are considerations relating to practices and perceptions; and, finally, there are policy choices that reflect a lack of proactivity in encouraging and enabling e-cargo bike use. The paper explores experiences and perceptions of actual and potential e-cargo bike use and configures the MLP and the relationship between niche, regime(s) and landscape in relation to mobility transitions

    Reducing the risk of iatrogenic Creutzfeldt–Jakob disease by improving the cleaning of neurosurgical instruments

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    Background: In all, there have been 178 variant Creutzfeldt–Jakob disease (vCJD) patients diagnosed in the UK, with an estimated maximum 1:2000 carriage rate based on archived appendix and tonsil tissue, implying that infection may be rare but carriage relatively frequent. Previous workers have identified that maintenance of surgical instruments in a humid atmosphere after use and prior to cleaning assists cleaning efficacy. Recently the Department of Health/Advisory Committee on Dangerous Pathogens UK have recommended a surgical instrument cleanliness threshold post cleaning of <5 μg protein per instrument side. Aim: To quantify cleanliness of neurosurgical instruments and to investigate cost-effective measures for improved cleaning. Methods: Two instrument protein quantification methods were used: one based on the International Standard (15883 series) using sodium dodecyl sulphate elution and ortho-phthalaldehyde reaction, and a second in-situ protein fluorescence detection system (ProReveal) providing results per instrument side. In-vitro investigation of the efficacy of some commercial and in-house pre-clean wetting agents was undertaken using artificial test soil and stainless steel discs under standard conditions. In-vivo evaluation of best-performing in-vitro agents was undertaken on craniotomy sets. Findings: ProReveal technology demonstrated that 163 out of 187 (87%) neurosurgical instruments had <5 μg residual protein per instrument side. The use of proprietary National Health Service plastic bags and sterile water-soaked wound pads were equivalent in efficacy to commercial pre-cleaning wetting products and significantly less expensive. Conclusion: Although we demonstrate low in-situ protein levels on neurosurgical instruments and the beneficial effects of keeping instruments moist, other cleaning critical-control points such as instrument loading patterns should also be monitored

    Deep learning for automatic target recognition with real and synthetic infrared maritime imagery

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    Supervised deep learning algorithms are re-defining the state-of-the-art for object detection and classification. However, training these algorithms requires extensive datasets that are typically expensive and time-consuming to collect. In the field of defence and security, this can become impractical when data is of a sensitive nature, such as infrared imagery of military vessels. Consequently, algorithm development and training are often conducted in synthetic environments, but this brings into question the generalisability of the solution to real world data. In this paper we investigate training deep learning algorithms for infrared automatic target recognition without using real-world infrared data. A large synthetic dataset of infrared images of maritime vessels in the long wave infrared waveband was generated using target-missile engagement simulation software and ten high-fidelity computer-aided design models. Multiple approaches to training a YOLOv3 architecture were explored and subsequently evaluated using a video sequence of real-world infrared data. Experiments demonstrated that supplementing the training data with a small sample of semi-labelled pseudo-IR imagery caused a marked improvement in performance. Despite the absence of real infrared training data, high average precision and recall scores of 99% and 93% respectively were achieved on our real-world test data. To further the development and benchmarking of automatic target recognition algorithms this paper also contributes our dataset of photo-realistic synthetic infrared images

    Diel turbidity cycles in a headwater stream: evidence of nocturnal bioturbation?

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    Purpose: A small number of recent studies have linked daily cycles in stream turbidity to nocturnal bioturbation by aquatic fauna, principally crayfish, and demonstrated this process can significantly impact upon water quality under baseflow conditions. Adding to this limited body of research, we use high-resolution water quality monitoring data to investigate evidence of diel turbidity cycles in a lowland, headwater stream with a known signal crayfish (Pacifastacus leniusculus) population and explore a range of potential causal mechanisms. Materials and methods: Automatic bankside monitoring stations measured turbidity and other water quality parameters at 30-min resolution at three locations on the River Blackwater, Norfolk, UK during 2013. Specifically, we focused on two 20-day periods of baseflow conditions during January and April 2013 which displayed turbidity trends typical of winter and spring seasons, respectively. The turbidity time-series, which were smoothed with 6.5 hour Savitzky-Golay filters to highlight diel trends, were correlated against temperature, stage, dissolved oxygen and pH to assess the importance of abiotic influences on turbidity. Turbidity was also calibrated against suspended particulate matter (SPM) over a wide range of values via linear regression. Results and discussion: Pronounced diel turbidity cycles were found at two of the three sites under baseflow conditions during April. Spring night-time turbidity values consistently peaked between 21:00 and 04:00 with values increasing by ~10 nephelometric turbidity units (NTU) compared with the lowest recorded daytime values which occurred between 10:00 and 14:00. This translated into statistically significant increases in median midnight SPM concentration of up to 76% compared with midday, with night-time (18:00 – 05:30) SPM loads also up to 30% higher than that recorded during the daytime (06:00 – 17:30). Relating turbidity to other water quality parameters exhibiting diel cycles revealed there to be neither any correlation that might indicate a causal link, nor any obvious mechanistic connections to explain the temporal turbidity trends. Diel turbidity cycles were less prominent at all sites during the winter. Conclusions: Considering the seasonality and timing of elevated turbidity, visual observations of crayfish activity, and an absence of mechanistic connections with other water quality parameters, the results presented here are consistent with the hypothesis that nocturnal bioturbation is responsible for generating diel turbidity cycles under baseflow conditions in headwater streams. However, further research in a variety of fluvial environments is required to better assess the spatial extent, importance and causal mechanisms of this phenomenon
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