19684 research outputs found
Sort by
Is there a role for integrating spirituality into substance use disorder treatment?
No full textAs a single cause for substance use disorder [SUD] is yet to be identified, no one treatment plan is likely to be successful. The problems arising from SUD are complex, with biological, social, psychological and spiritual crises being contributory factors. Holistic care, which addresses all these factors, is paramount to improve clinical outcomes for service users. However, the dimension of spirituality is frequently omitted from patients’ holistic care.Aim To explore the evidence for integrating spirituality into substance use disorder treatment. MethodsThis literature review utilised a systematic approach to critically appraise and analyse whether there is a role for integrating spirituality into SUD treatment. Seven electronic databases were searched, eight articles were identified. FindingsThere is evidence to support integrating spirituality into the management of service users with SUD with spirituality contributing to both a reduction in, and abstinence from, alcohol and drug use. Many service users find spirituality meaningful and welcome the idea of spirituality being included in their SUD treatment. Spirituality is perceived differently by people and can depend on factors like gender, race, faith and cultural backgrounds. A holistic patient-centred approach is paramount, but clinicians’ lack of knowledge of spirituality is a barrier to incorporating spirituality into SUD treatment
Novel Imaging of the Swelling and Dissolution Processes in Hydrophilic Matrices and 3D Printed Controlled Drug Delivery Systems
No full textA Sensemaking Approach to Understand the Impact of Internal CSR on Employees through Meaningfulness
No full textChildren's I-poems
Get PDFListening through play-based methods (LIME): Young children’s experiences of family life in the aftermath of a global pandemic is a British Academy funded project that ran between October 2023 and March 2025. The project explored how to capture young children’s voices and experiences of family focusing on their verbal and non-verbal expressions during play. Eighteen children aged 3 to 4 took part in sensory tuff tray activities, storytelling and draw-and-tell play sessions across three early childhood settings. Children’s expressions were recorded and noted down during play. The Listening Guide, a method for analysis that focuses on ‘I’ expressions in the data, was adapted and applied to illustrate children’s voices and experiences. This led to series of I-poems giving us insight into children’s sayings, doings, experiences and playfulness. This collection showcases poems from the project, alongside children’s drawings. It is intended to portray family as 3- and 4-years old children knew it in 2024. <br/
An advanced method to assess mechanical filtering effect of tactile coordinate-measuring system in dimensional measurement of additive manufacturing parts
No full textThe primary challenge faced by tactile coordinate-measuring systems (CMS) in dimension metrology of additive manufacturing (AM) components is the CMS mechanical filtering effect - an offset error caused by finite tip size working on the rough surface texture of AM parts. We previously simulated the mechanical filtering effect of physical measurements by applying morphological opening/closing operations to the surface profile. However, because this method only focuses on the profile, the impact of surrounding surface topography was ignored. Consequently, the dimension offset can be underestimated up to a quarter of the deviation as observed in physical measurements. In this work, we propose an advanced method to optimise and preprocess the surface data such that the simulation of 3D surface morphological filtering is enabled even using the profile algorithm. The results showed that the proposed method can compensate up to 94% of the dimension offset of the CMS mechanical filtering effect.</p
Could laser-based profile measurements be used in wheel/rail contact and vehicle dynamics simulations?
No full textContact-based profilometers have been the de facto standard in obtaining wheel and rail profiles for the purposes of vehicle-track and wheel-rail interaction studies. Still, they cannot collect profiles in large quantities. This paper explores the potential of laser-based profilometers for wheel and rail profile measurements in vehicle-track dynamic simulations. Comparisons between contact and laser-based profilometers were performed using sample rail profiles measured in the lab. Through contact simulations, contact preprocessing and multi-body dynamics simulations (MBD), differences in contact pressures, forces, and Y/Q were analyzed. The importance of data processing and profile smoothing is also discussed. Axle sum Y/Q showed the smallest differences between the two sets of profiles, with more than 80% of the MBD simulations having less than 10% difference. While far from perfect, the ability of wayside and vehicle-mounted laser profilometers can enable analyses to be performed at a much larger scale. The authors hope this work will lead to an open-minded approach to continue evaluating laser-based profiles in simulations.</p
Fault Diagnosis Method of Rolling Bearing Based on 1D Multi-Channel Improved Convolutional Neural Network in Noisy Environment
No full textThe vibration signal of mechanical equipment in operating environments is the key to describing fault characteristics, but due to thez influence of equipment density and environmental interference, the accuracy of fault diagnosis is often affected by noise. In this paper, a fault diagnosis method based on a 1D Multi-Channel Improved Convolutional Neural Network (1DMCICNN) is proposed. By introducing BiLSTM, an attention mechanism and a local sparse structure of a two-channel Convolutional Neural Network, the feature information of the noisy timing signal is fully extracted at different scales while reducing the computational parameters. The model is verified through experiments under different signal-to-noise ratios and loads. The results show that the accuracy of 1DMCICNN is 98.67%, 99.71%, 99.04%, and 99.71% on different load and speed datasets. Meanwhile, compared with the unoptimized two-channel Convolutional Neural Network, the training parameters are reduced by 55.58%.</p
“‘You Get Words, You Play the Blues’:Towards a Melopoetics of Mercy Dee Walton’s ‘Have You Ever Been Out In The Country?’”
No full textAfrican American blues music exhibits unique harmonic and melodic characteristics, and a distinctive ‘ethos’ drawn from its originators’ experiences of the transatlantic slave trade and its aftermath. Analytical literature often overemphasizes the blues’s alterity relative to European models, prioritizing understandings that are a product of the genre’s study in primarily white educational institutions, rather than engagement with African Americans’ historic motivations for creative expression. This essay draws on African American literary criticism, musicological studies of song, and early theoretical writing on the blues to develop an analytical approach grounded in the genre’s interdependency of lyrics and music. This ‘blues melopoetics’—illustrated by an analysis of blues pianist Mercy Dee Walton’s 1961 recording ‘Have You Ever Been Out in the Country?’—encourages greater attention to the relationship between historical context, meaning, and musical practice, and responds to recent defences of musical analysis that prioritize musical autonomy over creators’ lived experiences
Photocatalytic degradation of phenol and polycyclic aromatic hydrocarbons in water by novel acid soluble collagen-polyvinylpyrrolidone polymer embedded in Nitrogen-TiO<sub>2</sub>
No full textThe photocatalytic degradation of phenol, naphthalene, fluoranthene, phenanthrene, pyrene, benz[a]anthracene, and anthracene was investigated using a novel nitrogen-doped TiO2/acid-soluble collagen-polyvinyl pyrrolidone nanocomposite (N-TiO2/ASC-PVP). Characterization through X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) revealed that the nanocomposite consists of spheroidal particles smaller than those of undoped TiO2. X-ray photoelectron spectroscopy (XPS) confirmed the incorporation of nitrogen within the TiO2 lattice, appearing as both substitutional nitrogen (O–Ti–N) and interstitial nitrogen (Ti–O–N). The degradation process followed apparent first-order kinetics, with the N-TiO2/ASC-PVP calcined at 200°C and 400°C demonstrating high photocatalytic degradation efficiencies. The nanocomposite achieved a remarkable 98.6% degradation of the targeted compounds within 120 minutes at a concentration of 10 mg/L. The enhanced photocatalytic activity under visible light can be attributed to several factors: the smaller crystal size, increased surface hydroxyl groups, improved visible light absorption, and a reduced band gap energy. This N-TiO2/ASC-PVP photocatalyst shows significant potential for applications in materials science and nanotechnology, supporting advancements in environmental and energy-related fields.</p
Access Repository Dashboard
Do you manage Huddersfield Research Portal? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!