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Unlocking the potential of primary healthcare nurse practitioners globally:A concept analysis of their added value.
Mondays at the Museum
Mondays at the Museum is a Creative Health initiative aimed at reducing health inequalities in underserved areas by providing accessible health and wellbeing activities at the Tolson Museum in Huddersfield. Museum staff collaborate withSocial Prescribers, Primary Care Networks (PCN) and Local Anchor organisations to expand access to mental and physical health support, outside clinical settings. The council-run Tolson is uniquely placed to provide a welcoming space, accessible without stigma. Activities provided include Big Drum, Wellbeing walks, Yoga, Tai Chi, Flex and Stretch and Crafts. Mondays at the Museum is a key example of the delivery of Kirklees Heritage Strategy approach to Heritage in Action
Modeling and analysis of internal excitation and vibration characteristics of gears with early-stage crack and 3D tooth surface error
Affected by the tooth surface errors, the vibration characteristics of early crack failures are usually various under different tooth surface precision level. Therefore, to reveal the influence of three-dimensional (3D) tooth surface error (TSE) on the internal excitation and vibration characteristics of gears with early-stage crack (ESC), a coupling internal excitation model of gears with ESC and 3D errors is proposed based on a double-layer iterative method. In this model, the influence of meshing phase between tooth pair and along tooth width direction (TWD) on the time-varying mesh stiffness (TVMS) are simultaneously considered, which overcomes the limitations of traditional models that are only suitable for characterizing the coupled excitation of the two-dimensional tooth profile errors and TVMS. Based on verifying the proposed model, the effects of TSE type, parameters, and load on the TVMS, loaded static transmission error (LSTE), load distributions, and torsional deformation of the cracked gear teeth are investigated, and the vibration characteristics of ESC failures under the effects of 3D TSE are also explored. The research results show that the distribution parameters of 3D TSE have a significant effect on the internal excitation and vibration characteristics of gears with ESC, and thus measuring and evaluating the distribution parameters of TSE can help improve the accuracy of gear fault identification and diagnosis methods.</p
The interaction of phosphate species with cerium oxide:The known, the ambiguous and the unexplained
Cerium oxide based nanozymes are intensively studied due to their catalytic activity and structural flexibility. Such nanozymes have a great future potential in human therapeutics and antimicrobial activity. The structural complexity of their surfaces enables a great variety of enzyme mimetic activities. However, selection of a specific activity remains challenging, as such activities are sensitive to morphological and compositional changes as well as the physicochemical and biological environments. When delivered into biological systems, many processes occur at the surface, redefining the biological identity and activity of the nanozyme. Inorganic phosphates and phosphate-bearing molecules are some critical examples of items that can interact with cerium oxide nanozymes. Inorganic phosphates can interact directly with cerium oxide and even have a scavenging activity converting the material into cerium phosphate. Phosphate-bearing molecules can absorb on the surface of the nanozyme where phosphatase activity may occur. Given the abundance of phosphates in biological environments, cerium oxide nanozymes are strongly affected by their local concentration. Here, we discuss the interaction of cerium oxide with phosphates and phosphate-bearing molecules, providing a focussed review of the computational and experimental literature, with a focus on the surface morphology and chemistry of the nanozyme and their impact on the phosphate adsorption and phosphatase activity
A novel hybrid strategy based on Swarm and Heterogeneous Federated Learning using model credibility awareness for activity recognition in cross-silo multistorey building
The novel HAR-SHFDL system leverages a Swarm Heterogeneous Federated Deep Learning framework for smartphone-based Human Activity Recognition (HAR). Unlike traditional Federated Learning (FL) with high communication overhead, HAR-SHFDL utilizes a swarm group architecture where smartphone users on each floor elect a swarm representative to communicate with the heterogeneous federated learning. Within these swarm groups, individuals train models and extract logits, which are weighted and averaged based on performance. The swarm representative transmits these logits to the Building Side Unit (BSU) on each floor, which refines and checks logits credibility before sending them to a heterogeneous federated server. This heterogeneous server aggregates information from all BSUs to update the global HAR model. Experiments show HAR-SHFDL outperforms existing FL frameworks in accuracy, precision, recall, and F1-score, with accuracy improvements up to 6.23%. The importance of HAR-SHFDL extends beyond human activity recognition. Its core strengths communication efficiency, robust model aggregation, and federated learning can be applied to various practical applications, such as optimizing building management systems, enhancing security, improving healthcare and fitness monitoring, and developing federated recommendation systems and anomaly detection in sensor networks. HAR-SHFDL offers a versatile framework for building intelligent systems that enhance daily life and promote efficiency and security.</p
High-fold optical subdivision blazed grating interferometer based on Mach-Zehnder interferometer
A blazed grating interferometer with high-fold optical subdivision is proposed based on the optical path design of Mach-Zehnder interferometer. In the designed measurement system, multiple diffractions are achieved on the blazed grating surface, fully leveraging the high diffraction efficiency of the blazed grating and avoiding the presence of non-coplanar beams. Furthermore, in order to avoid beam deformation resulting from multiple diffractions, the light path structure returning along the same path is constructed, and this design doubles the optical subdivision fold factor. The experimental results show that 14-fold optical subdivision can be realized in this measurement system, and the maximum calibration difference can reach 34.47 nm within a 0.2 mm travel and 101.07 nm within a 2 mm travel. The designed blazed grating interferometer has the characteristics of a simple structural layout, high-fold optical subdivision and high measurement performance, which lay the groundwork for actual product development.</p
A bearing dynamic model based on novel Gaussian-filter waviness characterizing method for vibration response analysis
Bearing waviness is a kind of geometric unevenness on the surface of bearing components, which has vital influence on lifetime, vibration and noise. In order to accurately evaluate the impact of waviness on bearing operating performance and diagnostic features, it is necessary to reveal the mapping relationship between waviness excitation and vibration characteristics. However, current simulated waviness when modeling bearing vibrations is usually simplified by a uniform or non-uniform sinusoidal function, which cannot characterize the real topography of bearing waviness and lead to inaccuracy of diagnostics and prognostics. To address this issue, a novel waviness characterizing method based on Gaussian filter is developed in this study. Based on the proposed waviness characterizing method, a bearing waviness dynamic model is developed and vibration responses under various amplitude and order of waviness are investigated by simulation and experiment. Results show that the established waviness characterizing method can generate waviness curves closer to the actual shape. The bearing waviness dynamic model and the based vibration responses reveals unusual random phenomenon due to different waviness effects. These findings provide theoretical support for accurate identification of waviness on vibration characteristics, which has great significance on condition monitoring and fault diagnosis of bearing
Initial Teacher Education in England during the COVID-19 Pandemic:One University’s Experience - From Challenge to the New Normal
In late March 2020, university-based schools of education across England were forced to close and cease in-person teaching due to the COVID-19 pandemic. Online teaching and learning was quickly adopted, and while it was initially considered a provisional solution, it became apparent that such methods would remain for at least another academic year. The transition from traditional face-to-face teaching and learning to online environments required considerable modification of content, resources and the development of digital competences. Expectedly, concerns have been raised about the quality of provision and student support. Since the start of the crisis, there has been an increased interest in blended learning approaches to teacher education and different frameworks have been created to manage the new reality. However, research on the practical implications, the challenges that teacher educators face, and the innovative solutions embraced is scarce. Set in the English teacher education system, this chapter provides a critical overview of both the initial and continuing impact of the COVID-19 pandemic on initial teacher education in a large UK University
High-temperature (800 °C) performance of spodumene slag-based ternary sulphate composite phase change materials with improved mechanical property
The large deployment of electric vehicles leads to decarbonised road transport. However, the mining and smelting of lithium resources will continue to increase, which generates lithium slag and urgently needs to be recycled. The integration of spodumene slag with ternary sulphate presents a green and promising approach to achieve resource recycling and high-performance composite phase change material (CPCM). Herein, toughened and strengthened CPCMs are prepared by the hybrid sintering method with mechanical properties better than reinterned glass, even after high-temperature thermal cycling. After the cold compression and hot sintering process, the production of colloidal sodium silicate bonds the ternary sulphate with the spodumene slag skeleton, which greatly enhances the strength of the CPCM for efficient and durable thermal energy storage (TES). The Hydroxyl polar group of sodium silicate interacts with the skeleton and leads to a record-breaking compressive strength of 155.23 MPa, and the CPCM can support its stacking of 23.6 m and 15 kg loading test at 700 °C. A negligible mass loss of 0.26 wt% was observed after 50 thermal cycles at 800 °C. Moreover, the CPCMs exhibit a high TES density of up to 873.0 J/g in the temperature range of 100–800 °C. High charging and round-trip efficiency in the heat recovery process from spodumene roasting is also achieved, as it is 5 % and 19 % higher than the common magnesium bricks, respectively. The CPCM achieves high thermal efficiency TES, and it is the effective resource recycling of lithium slag with simple material preparation, which, from two angles at once, attacks the carbon emission from the life cycle of the lithium-ion battery
Bric-à-brac, an ‘umbilical cord’ and trypanosome kinetoplast segregation
Cadena et al. recently discovered a conserved trypanosomatid ‘nabelschnur’ protein TbNAB70 from a search through the protein localization resource TrypTag, providing new insight into kinetoplast origin and evolution.</p