This book explores, for the first time, the turbulent social history of churchyards and cemeteries over the last 150 years. Using sites from across rural North Yorkshire, the text examines the ...workings of the Burial Acts and discloses the ways in which religious politics framed burial management. It presents an alternative history of burial which questions notions of tradition and modernity, and challenges long-standing assumptions about changing attitudes towards mortality in England. This study diverges from the long-standing tendency to regard the churchyard as inherently 'traditional' and the cemetery as essentially 'modern'. Since 1850, both types of site have been subject to the influence of new expectations that burial space would guarantee family burial and the opportunity for formal commemoration. Although the population in central North Yorkshire declined, demand for burial space rose, meaning that many dozens of churchyards were extended, and forty new cemeteries were laid out. This text is accessible to undergraduates and postgraduates, and will be an essential resource for historians, archaeologists and local government officials.
In an age of globalisation, the most pressing concerns are with matters of identity, personal and collective. This book explores the culture of nationality, groups and religions through the inner ...lives of second generation immigrants in England. The young people studied reveal surprising and sophisticated as well as complex attitudes. They reveal the contradictions, the opportunities and the dangers of their collective identities, and reveal how they are able to make use for good or ill thei.
This volume is concerned with one of the few thorough-going Labovian studies carried out in Britain. Based on a survey of over hundred randomly selected informants from the towns of Bradford, Halifax ...and Huddersfield, it deals first with the methodology employed, and then sketches some aspects of the 'traditional' dialects of the area before describing a large number of variables. Other non-standard features encountered during the survey are described, since these too are part of the changing patterns of speech in West Yorkshire. The final chapter draws a distinction between 'dialect' and 'accent' which is slightly different from that generally employed, and suggests that while 'dialect' features seem to have declined under the pressure of the standard language, 'accent' still persists as a social differentiator.
Knowledge of landslide displacement trends is important to understand risks and establish early warning trigger thresholds so that action can be taken to protect people and critical infrastructure. ...However, the availability of direct continuous displacement measurements is often limited due to relatively high costs. This has driven research to establish models that quantify relationships between landslide displacements and other measured parameters such as pore water pressures, rainfall and more recently acoustic emission (AE), so that displacement can be predicted, and hence made available at a lower cost. This paper describes an investigation of established machine learning models to predict displacements using time series measurements of AE and rainfall. Data from a case study site has been used to train models using measured displacements and then test to assess prediction accuracy. The LASSO-ELM model was shown to perform best. It was able to predict displacements to a mean absolute percentage error < 2.5% up to 60 days after the end of the training period, which is better than similar reported studies. Training a LASSO-ELM model using continuous high resolution AE measurements combined with rainfall data has potential to provide predicted displacement trends once direct measurement of displacement is no-longer available.
•Machine learning approaches can automatically predict landslide displacement trends based on AE and rainfall measurements.•Four ML models were trained using displacement, AE and rainfall measurements from an active landslide over several months.•The best performing model predicted displacements to a mean absolute error <2.5% up to 60 days after the training period.
•Future IDF curve’s uncertainty from different reference periods is significant.•The worst rainfall projections may come from different reference periods.•Percentage change of rainfall across ...different reference periods varies significantly.•Considerable uncertainty exists in return periods from different reference periods.
Storm water management systems depend on Intensity–Duration–Frequency (IDF) curves as a standard design tool. However, due to climate change, the extreme precipitation quantiles represented by IDF curves will be subject to alteration over time. Currently, a common approach is to adopt a single benchmark period for bias correction, which is inadequate in deriving reliable future IDF curves. This study assesses the expected changes between the IDF curves of the current climate and those of a projected future climate and the uncertainties associated with such curves. To provide future IDF curves, daily precipitation data simulated by a 1-km regional climate model were temporally bias corrected by using eight reference periods with a fixed length of 30years and a moving window of 5years between the cases for the period 1950–2014. Then the bias-corrected data were further disaggregated into ensemble of 5-min series by using an algorithm which combines the Nonparametric Prediction (NPRED) model and the method of fragments (MoF) framework. The algorithm uses the radar data to resample the disaggregated future rainfall fragments conditioned to the daily rainfall and temperature data. The disaggregated data were then aggregated into different durations based on concentration time. The results suggest that uncertainty in the percentage of change in the projected rainfall compared to the rainfall in the current climate varies significantly depending on which of the eight reference periods are used for the bias correction. Both the maximum projection of rainfall intensity and the maximum change in future projections are affected by using different reference periods for different frequencies and durations. Such an important issue has been largely ignored by the engineering community and this study has shown the importance of including the uncertainty of benchmarking periods in bias-correcting future climate projections.
The development of accurate visible and near infrared (vis-NIR) spectroscopy calibration models for selected soil properties based on mobile measurements is essential for site specific soil ...management at fine sampling scale. The objective of the present study was to compare the mobile and laboratory prediction performance of vis-NIR spectroscopy for total nitrogen (TN), total carbon (TC) and soil moisture content (MC) of field soil samples based on single field (SFD), two-field dataset (TFD), UK national dataset (UND) and European continental dataset (ECD) calibration models developed with linear and nonlinear data mining techniques including spiking. Fresh soil samples collected from fields in the UK, Czech Republic, Germany, Denmark and the Netherlands were scanned with a fibre-type vis-NIR spectrophotometer (tec5 Technology for Spectroscopy, Germany), with a spectral range of 305–2200nm. After dividing spectra into calibration (75%) and validation (25%) sets, spectra in the calibration set were subjected to three multivariate calibration models, including the partial least squares regression (PLSR), multivariate adaptive regression splines (MARS) and support vector machines (SVM), with leave-one-out cross-validation to establish calibration models of TN, TC and MC. Results showed that the best model performance in cross-validation was obtained with MARS methods for the majority of dataset scales used, whereas the lowest model performance was obtained with the SFD. The effect of spiking was significant and the best model performance in general term was obtained when local samples collected from two target fields in the UK were spiked with the ECD, with coefficients of determination (R2) values of 0.96, 0.98 and 0.93, root mean square error (RMSE) of 0.01, 0.1 and 1.75, and ratio of performance to interquartile distance (RPIQ) of 7.46, 6.57 and 3.98, for TC, TN and MC, respectively. Therefore, these results suggest that ECD vis-NIR MARS calibration models can be successfully used to predict TN, TC and MC under both laboratory and mobile measurement conditions.
•The performance of on-line vis-NIR for estimating soil TN, TC and MC were evaluated.•Comparing between four datasets single field, two-field, national and European•Multivariate analysis PLSR, SVM and MARS and spiking techniques were used.•The best results obtained using the MARS calibration method with European dataset
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•Duroc × (Landrace × Yorkshire) pig ham peptides are mainly derived from myosin and actin.•YDEAGPSIVH is a novel peptide with antioxidant and α-glucosidase inhibitory activity.•The ...YDEAGPSIVH has good gastrointestinal digestion stability.•Hydrogen bonding and hydrophobic interactions drive YDEAGPSIVH binding to α-glucosidase.•YDEAGPSIVH docked to α-glucosidase formed stable and compact conformations.
Duroc × (Landrace × Yorkshire) pigs are popular in the Chinese market because of their rapid growth, leanness, and economic value. Despite their widespread use in dry-cured ham processing, there is a lack of research on the bioactive peptides of Duroc × (Landrace × Yorkshire) pig ham (DLYH). This study aimed to investigate the presence of peptides with antioxidant and α-glucosidase inhibitory activities in DLYH using peptidomics and in silico analysis. A total of 453 peptides were identified from DLYH, originating mainly from myosin, actin, and the EF-hand domain-containing protein. Notably, two peptides, YDEAGPSIVH (YH10) and FAGDDAPRAVF (FF11), emerged as novel bioactive peptides with antioxidant and α-glucosidase inhibitory activities. Among these peptides, YH10 exhibited a high DPPH radical scavenging activity (IC50 = 1.93 mM), ABTS radical scavenging activity (IC50 = 0.10 mM), α-glucosidase inhibitory activity (IC50 = 2.13 mM), and good gastrointestinal tolerance. Molecular docking analysis showed that YH10 was bound to the ABTS and DPPH radicals and the active site of α-glucosidase (3A4A) primarily through hydrogen bonding and hydrophobic interactions. Furthermore, molecular dynamics (MD) simulation indicated that the YH10-3A4A complexes maintained stable and compact conformations. In conclusion, our findings indicated that peptide YH10 derived from DLYH possesses bifunctional properties of α-glucosidase inhibition and antioxidant activity, which could be beneficial for maintaining ham quality and promoting human health.
A landslide complex in the Whitby Mudstone Formation at Hollin Hill, North Yorkshire, UK is periodically re-activated in response to rainfall-induced pore-water pressure fluctuations. This paper ...compares long-term measurements (i.e., 2009–2014) obtained from a combination of monitoring techniques that have been employed together for the first time on an active landslide. The results highlight the relative performance of the different techniques, and can provide guidance for researchers and practitioners for selecting and installing appropriate monitoring techniques to assess unstable slopes. Particular attention is given to the spatial and temporal resolutions offered by the different approaches that include: Real Time Kinematic-GPS (RTK-GPS) monitoring of a ground surface marker array, conventional inclinometers, Shape Acceleration Arrays (SAA), tilt meters, active waveguides with Acoustic Emission (AE) monitoring, and piezometers. High spatial resolution information has allowed locating areas of stability and instability across a large slope. This has enabled identification of areas where further monitoring efforts should be focused. High temporal resolution information allowed the capture of ‘S’-shaped slope displacement-time behaviour (i.e. phases of slope acceleration, deceleration and stability) in response to elevations in pore-water pressures. This study shows that a well-balanced suite of monitoring techniques that provides high temporal and spatial resolutions on both measurement and slope scale is necessary to fully understand failure and movement mechanisms of slopes. In the case of the Hollin Hill landslide it enabled detailed interpretation of the geomorphological processes governing landslide activity. It highlights the benefit of regularly surveying a network of GPS markers to determine areas for installation of movement monitoring techniques that offer higher resolution both temporally and spatially. The small sensitivity of tilt meter measurements to translational movements limited the ability to record characteristic ‘S’-shaped landslide movements at Hollin Hill, which were identified using SAA and AE measurements. This high sensitivity to landslide movements indicates the applicability of SAA and AE monitoring to be used in early warning systems, through detecting and quantifying accelerations of slope movement.
•High temporal resolution monitoring revealing rainfall triggered slope movements•Investigation and comparison of long term landslide monitoring data sets•Ground model development based on geotechnical/environmental data analysis
Master and Servant Steedman, Carolyn
07/2007, Letnik:
v.Series Number 10
eBook
Leading historian Carolyn Steedman offers a fascinating and compelling account of love, life and domestic service in eighteenth-century England. This book, situated in the regional and chronological ...epicentre of E. P. Thompson's The Making of the English Working Class and Emily Bronte's Wuthering Heights, focuses on the relationship between a Church of England clergyman (the Master of the title) and his pregnant maidservant in the late eighteenth century. This case-study of people behaving in ways quite contrary to the standard historical account sheds new light on the much wider historical questions of Anglicanism as social thought, the economic history of the industrial revolution, domestic service, the poor law, literacy, education, and the very making of the English working class. It offers a unique meditation on the relationship between history and literature and will be of interest to scholars and students of industrial England, social and cultural history and English literature.
Seismic refraction tomography provides images of the elastic properties of subsurface materials in landslide settings. Seismic velocities are sensitive to changes in moisture content, which is a ...triggering factor in the initiation of many landslides. However, the application of the method to long-term monitoring of landslides is rarely used, given the challenges in undertaking repeat surveys and in handling and minimizing the errors arising from processing time-lapse surveys. This work presents a simple method and workflow for producing a reliable time-series of inverted seismic velocity models. This method is tested using data acquired during a recent, novel, long-term seismic refraction monitoring campaign at an active landslide in the UK. Potential sources of error include those arising from inaccurate and inconsistent determination of first-arrival times, inaccurate receiver positioning, and selection of inappropriate inversion starting models. At our site, a comparative analysis of variations in seismic velocity to real-world variations in topography over time shows that topographic error alone can account for changes in seismic velocity of greater than ±10% in a significant proportion (23%) of the data acquired. The seismic velocity variations arising from real material property changes at the near-surface of the landslide, linked to other sources of environmental data, are demonstrated to be of a similar magnitude. Over the monitoring period we observe subtle variations in the bulk seismic velocity of the sliding layer that are demonstrably related to variations in moisture content. This highlights the need to incorporate accurate topographic information for each time-step in the monitoring time-series. The goal of the proposed workflow is to minimize the sources of potential errors, and to preserve the changes observed by real variations in the subsurface. Following the workflow produces spatially comparable, time-lapse velocity cross-sections formulated from disparate, discretely-acquired datasets. These practical steps aim to aid the use of the seismic refraction tomography method for the long-term monitoring of landslides prone to hydrological destabilization.
•Seismic refraction identifies heterogeneities in subsurface elastic properties.•Time-lapse data from seismic surveys can monitor ground moisture changes.•Ignoring temporal topographic change masks subtle variations in seismic velocities.•Repeatable processing and proper inversion constraint ameliorate error.•Time-lapse active geophysics offers high spatial resolution landslide monitoring.
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