2,570 research outputs found
Where's the ‘faith’ in ‘faith-based’ organisations? The evolution and practice of faith-based homelessness services in the UK
No full textDrawing upon a qualitative exploration of the role of faith-based organisations (FBOs) in service provision for homeless people in the UK, this paper examines the ways in which the ‘faith’ in ‘faith-based’ services is articulated and experienced ‘on the ground’. It demonstrates that the ‘F’ in FBO is expressed in a myriad of nuanced ways, and that the strength of ‘coupling’ between many welfare agencies and organised religion has diminished over time such that some projects’ faith affiliation or heritage is now evident in palimpsest only. Homeless people do in fact often find it difficult to discern tangible differences between avowedly ‘faith-based’ and ‘secular’ projects, given a blurring of boundaries between the religious and the secular. These findings problematise FBO typologies, and highlight the complexity and fluidity of the very concept of ‘FBO’ itself. Certainly, they suggest that the differences between faith-based and secular provision should not be exaggerated, whilst recognising the importance of faith to the motivations of many service providers and the potential value of the (optional) ‘spiritual’ support offered by most FBOs
Assessing Creativity: A Test for Drawing Production using Digital Art Tools
No full textThis paper describes the Test for Creative Thinking - Drawing Production (TCT-DP), including its design, concept and mode of assessment, and the practical consequences of its application in a specific context. The test was used to evaluate the performance of groups of students as part of a case study exploring the use of digital art tools for drawing in a junior school. The students used specific digital art software via both computers and tablets, and also drew manually using a variety of devices. TCP-DP evaluates drawing production by means of a set of 14 criteria. At the same time, this study used the Technology Acceptance Model (TAM) theory to assess the ease of use and usefulness of the digital tools. The test was trialled with students aged 9-10 years in different ability groups. There were no significant differences in performance between male and female participants. Details of various related studies, together with data concerning the reliability and validity of the TCT-DP test, are also provided. The study finds that motivation is an important factor in improving young people’s artistic ability
Assessing Creativity: A Test for Drawing Production using Digital Art Tools The concept, application and assessment of digital art teaching as a means of enhancing creative proficiency
No full textThis paper describes the Test for Creative Thinking - Drawing Production (TCT-DP), including its design, concept and mode of assessment, and the practical consequences of its application in a specific context. The test was used to evaluate the performance of groups of students as part of a case study exploring the use of digital art tools for drawing in a junior school. The students used specific digital art software via both computers and tablets, and also drew manually using a variety of devices. TCP-DP evaluates drawing production by means of a set of 14 criteria. At the same time, this study used the Technology Acceptance Model (TAM) theory to assess the ease of use and usefulness of the digital tools. The test was trialled with students aged 9-10 years in different ability groups. There were no significant differences in performance between male and female participants. Details of various related studies, together with data concerning the reliability and validity of the TCT-DP test, are also provided. The study finds that motivation is an important factor in improving young people’s artistic ability
Recommended from our members
Faith of their Fathers
No full textThe novel is set within Norway and Iceland circa 999/1000 during the Kristnitaka. The period when Icelanders converted to Christianity. It is based upon the translations of the medieval manuscripts: Íslendingabók, Kristni saga and Heimskringla.
The novel follows the lives and politics of an Icelandic community as it faces a constitutional crisis in the face of encroaching Christianity. The primary protagonist, Arinbjorn Thorleiksson, is a farmer whose traditions and way of life will put him at odds with the change occurring in his country. Spurred into action by the murder of his foster family, Arinbjorn navigates the political and religious landscape of medieval Scandinavia as he attempts to find the killer and unearth their motives
A common HLA-DPA1 variant is associated with hepatitis B virus infection but fails to distinguish active from inactive Caucasian carriers
No full textBackground and Aims: Chronic infection with the hepatitis B virus (HBV) is a major health issue worldwide. Recently, single nucleotide polymorphisms (SNPs) within the human leukocyte antigen (HLA)-DP locus were identified to be associated with HBV infection in Asian populations. Most significant associations were observed for the A alleles of HLA-DPA1 rs3077 and HLA-DPB1 rs9277535, which conferred a decreased risk for HBV infection. We assessed the implications of these variants for HBV infection in Caucasians.
Methods: Two HLA-DP gene variants (rs3077 and rs9277535) were analyzed for associations with persistent HBV infection and with different clinical outcomes, i.e., inactive HBsAg carrier status versus progressive chronic HBV (CHB) infection in Caucasian patients (n = 201) and HBsAg negative controls (n = 235).
Results: The HLA-DPA1 rs3077 C allele was significantly associated with HBV infection (odds ratio, OR = 5.1, 95% confidence interval, CI: 1.9–13.7; p = 0.00093). However, no significant association was seen for rs3077 with progressive CHB infection versus inactive HBsAg carrier status (OR = 2.7, 95% CI: 0.6–11.1; p = 0.31). In contrast, HLA-DPB1 rs9277535 was not associated with HBV infection in Caucasians (OR = 0.8, 95% CI: 0.4–1.9; p = 1).
Conclusions: A highly significant association of HLA-DPA1 rs3077 with HBV infection was observed in Caucasians. However, as a differentiation between different clinical courses of HBV infection was not possible, knowledge of the HLA-DPA1 genotype cannot be translated into personalized anti-HBV therapy approaches
On the effects of non-linearities in DP systems
No full textIn offshore operations a trend is forming where vessels are more often required to do multiple short operations within a small-time frame. Traditional mooring systems require execution time far beyond the operation time. Dynamic positioning systems offer great advantages for short time span operations such as crew transfer or lift operations. Currently operations are planned based on DP capability plots and experience of captain and DPO. DP capability plots have little operational value as this is a static calculation and only provide information for average station keeping capability. During operations, the displacements made by the vessel around the DP set-point, also referred to as DP offset, are of great importance to determine the operability of an operation. Currently, the only way of calculating the DP offset is by conducting extensive time domain simulations, which are hard to integrate in the operational workflow of a DP vessel involved in walk-to-work operations. Therefore, a new approach is developed which predicts the vessel’s DP offset in the frequency domain, which enables a quick and robust calculation of the DP offset which is suited to merge into the on-board workflow. A frequency domain model is per definition a linear model. This leads to the main challenge of this research. A vessel operating on DP is non-linear. Currently there is no insight in what the effect is of non-linear components present in a DP system, on the linear approximation of a frequency domain model. To investigate the effect of non-linear components onto the DP frequency domain model, a time domain model is developed that is capable of systematically enabling/disabling different non-linear components. The time domain model will serve as the ’truth’ in this research as no actual vessel data is available. Furthermore, this helps identify the effects more easily, as the input for both models are identical. From the time domain model transfer functions can be derived that serve as the basis for the frequency domain model. The transfer function is a linear relation between two variables. In this case, between second order wave drift forces and displacement of the vessel in surge, sway and yaw direction. The following non-linear components are investigated in this research: Thruster ramp up, thruster turning rate, forbidden zones, saturation and thruster allocation. Thruster allocation is present in each model that will be tested, as this is an essential part of a DP system. Using two methods of determining transfer functions the model and the effects of all non-linear components are tested. The model is subjected to a variety sea-state, with different wave directions. Both methods offer similar results even though different approaches to determine the transfer functions are used. The selected method is capable of accurately predicting vessel offsets, although some extreme offsets are not captured. It is concluded that the presence of non-linear components have little to no effect on the DP offset as calculated by the time domain model. Because natural frequencies characteristic to these non-linear components are expected to exist at much higher frequencies that naturally present in second order wave drift forces. Thus, making a linear frequency domain model suitable for DP offset forecasting. It is advised to investigate the effect of including 2D input spectra as this is expected to improve the current model.<br/
Grand Faith
No full textIn his short essay, Sandó Kaisen addresses the role of faith in the tradition of Japanese Sōtō Zen Buddhism and its centrality for the practice of Zazen
Differentially Private GAN for Time Series
No full textGenerative Adversarial Networks (GANs) are a modern solution aiming to encourage public sharing of data, even if the data contains inherently private information, by generating synthetic data that looks like, but is not equal to, the data the GAN was trained on. However, GANs are prone to remembering samples from the training data, therefore additional care is needed to guarantee privacy. Differentially Private (DP) GANs offer a solution to this problem by protecting user privacy through a mathematical guarantee, achieved by adding carefully constructed noise at specific points in the training process. A state-of-the-art example of such a GAN is Gradient Sanitized Wasserstein GAN, (GS-WGAN), \cite{chen2021gswgan}. This model is shown to create higher quality synthetic images than other DP GANs. To extend the applicability of GS-WGAN we first reproduce and extend the evaluation, verifying that the model outperforms DP-CGAN by an average of 40\% when assessed across three qualitative metrics and two datasets. Secondly we propose improvements to the architecture and training procedure to make GS-WGAN applicable on timeseries data. The experimental results show that GS-WGAN is fit for generating synthetic timeseries through promising experimental results.[1] D. Chen, T. Orekondy, and M. Fritz, “Gs-wgan: A gradient-sanitized approach for learning differentially private generators,” 2021CSE3000 Research ProjectComputer Science and Engineerin
BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
No full textIn this paper, we introduce BNN-DP, an efficient algorithmic framework for analysis of adversarial robustness of Bayesian Neural Networks (BNNs). Given a compact set of input points T ⊂ Rn, BNN-DP computes lower and upper bounds on the BNN's predictions for all the points in T. The framework is based on an interpretation of BNNs as stochastic dynamical systems, which enables the use of Dynamic Programming (DP) algorithms to bound the prediction range along the layers of the network. Specifically, the method uses bound propagation techniques and convex relaxations to derive a backward recursion procedure to over-approximate the prediction range of the BNN with piecewise affine functions. The algorithm is general and can handle both regression and classification tasks. On a set of experiments on various regression and classification tasks and BNN architectures, we show that BNN-DP outperforms state-of-the-art methods by up to four orders of magnitude in both tightness of the bounds and computational efficiency.Team Luca Laurent
The discriminative stimulus for punishment or S (Dp)
No full textdiscriminative stimulus for punishmentPresents the term discriminative stimulus for punishment and an accompanying symbol S-super(Dp). In describing a study of stimulus control in response-cost punishment with humans, the author notes that there was difficulty in writing a clear and succinct stimulus correlated with punishment conditions without using such a term. The author believes that the adoption of S-super(Dp ) as a discriminative stimulus for punishment would reserve S-super(D ) for reinforcement-only conditions, thus eliminating confusion as well as the need for additional descriptors. Furthermore, use of S-super(Dp ) would obviate the need for a term designating a stimulus correlated with the absence of punishment conditions
- …
