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    1401 research outputs found

    Data for - Conduction shape factors for thermal analysis of energy walls under varying boundary conditions

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    Energy walls are retaining walls embedded with heat exchanger pipes. Effective design requires fast, reliable thermal performance models. Analytical shape factors provide computationally efficient methods for predicting steady-state heat transfer rates; they relate temperature differences across surfaces to resulting heat flux. While shape factor equations have been successfully applied to energy piles and borehole heat exchangers, their systematic validation for energy walls under varying thermal boundary conditions remains unexplored. This study extends shape factor equations which were originally developed for pipeline applications and adapted via electrical analogies, to energy wall thermal analysis. The key innovation lies in systematic parametric validation across realistic geometric variations (pipe spacing, diameter, wall thickness, cover depth) and thermal conductivity ratios for practical design applications. Shape factor predictions are benchmarked against steady-state and transient numerical models. The findings demonstrate that existing shape factor equations can be successfully extended to model energy walls and similar planar energy geostructures, providing practitioners with a computationally efficient design tool validated across realistic parameter ranges. This data set presented here share the data sheets used to develop the connected paper

    Motion capture dataset of 137 post-operative total hip replacement patients performing activities of daily living

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    This dataset comprises comprehensive motion capture and ground reaction force data from 137 post-operative total hip replacement (THR) patients. Data were collected between 2013 and 2015 using a 10-camera Vicon system and dual force plates during a range of activities of daily living (ADLs), including level walking, stair negotiation, sit-to-stand, lunge, and squat tasks. Marker trajectories and ground reaction forces were processed using standard biomechanical techniques and segmented into key movement events. The dataset has previously been used to identify biomechanical differences in THR patients by age, gender, BMI, and function, and to explore joint contact forces and their impact on bone loading. It is now released for wider use in musculoskeletal modelling, with potential application in AI and machine learning model development. This study was supported by the European Union's Seventh Framework Programme (FP7/2007-2013) under grant agreement no. GA-310477 LifeLongJoints. A small subset of this dataset (comprising a limited number of participants and trials) was previously made available under DOI 10.5518/319 as part of our previous publication. The current dataset represents the complete release, encompassing all participants and all recorded activities of daily living collected under the same methodological framework. The overlap is therefore limited to a few shared example files used for demonstration in the earlier publication

    Data for 'Inkjet Printing of Cadmium-Free Quantum Dots-Based Electroluminescent Devices'

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    The datasets are original data associated with the published paper ‘Inkjet Printing of Cadmium-Free Quantum Dots-Based Electroluminescent Devices’ and corresponding supporting information

    Combined clinoptilolite and Fe(O)OH for efficient removal of Cu(II) and Pb(II) with enhanced solid-liquid separation - Data set

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    Raw data for all figures in the associated paper: Combined clinoptilolite and Fe(O)OH for efficient removal of Cu(II) and Pb(II) with enhanced solid-liquid separatio

    IMPRESSeD: IMproving facial PRosthesis construction with contactlESs Scanning and Digital workflow. A feasibility cross-over randomised controlled trial of digital versus conventional manufacture for facial prostheses

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    This dataset contains data as described in Jablonski RY, Coward TJ, Reed C, Bartlett P, Keeling AJ, Bojke C, Nattress BR, Pavitt SH. Improving facial prosthesis construction with a contactless scanning and digital workflow: A feasibility crossover randomized controlled trial of digital versus conventional manufacture of orbital and nasal prostheses. J Prosth Dent. 2025

    VOCAL+ (VOice for laryngeal Cancer Analysis in Leeds)

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    The VOCAL+ dataset contains voice recordings of patients referred on the NHS 2 week wait (2WW) pathway for suspected head and neck cancer to the ENT Department at Leeds Teaching Hospital NHS Trust. Alongside voice recordings we also present demographic, lifestyle, and symptom data for each patient as well as their diagnosis. Each patient completed nine voice tasks modified from the Consensus Auditory- Perceptual Evaluation of Voice (CAPE-V) framework. This includes two sustained vowels (/a/ and /i/), six sentences: "The blue spot is on the key again.", "How hard did he hit him?", "We were away a year ago.", "We eat eggs every Easter.", "My mama makes lemon muffins.", and "Peter will keep at the peak.", and a picture descripton of the Cookie Theft image. Each patient was recorded simultaniously with two recording devices, an Olympus LS-P1, and a Nokia 110 phone. Recordings for both devices are available

    Increased effect of microbubble-assisted gemcitabine delivery with repeated ultrasound exposure in a pancreatic cancer organ-on-a-chip model

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    The dataset are of raw images and collated data. The raw images are of subsequent assessment of the microfluidic PDAC cultures using a bright-field, epi-fluorescence, and confocal microscopy. The collated data include viability assessments of the microfluidic PDAC cultures following treatment with gemcitabine, microbubbles, and ultrasound exposure

    Appendix for AUKUS and the Anglobal Colour Line

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    Appendix for AUKUS and the Anglobal Colour Line, containing longer quotations

    Data Associated with 'Guanine Crystallization at Physiological pH'

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    Molecular organic crystals such as guanine are widely used by organisms for their remarkable optical properties. However, little is currently known about the mechanisms by which organisms control their formation, where efforts to elucidate these have been impeded by the very low solubility of these molecules in aqueous solutions at neutral pH. This creates significant challenges in crystallizing them under biologically-relevant conditions in the laboratory. Here, we introduce an enzymatic approach based on the purine metabolism process that yields significant quantities of guanine crystals in aqueous solution at neutral pH. The enzyme purine nucleoside phosphorylase (PNP) is used to continuously convert guanosine to guanine and generate supersaturation, and pure beta anhydrous guanine (β-AG) or alpha anhydrous guanine (α-AG) can be produced by changing the reagent concentrations or introducing stirring. Investigation of the reaction kinetics using high performance liquid chromatography (HPLC) and NMR reveals that the rate of change of supersaturation is crucial in determining the polymorph. This work bridges the gap between in vitro and biological crystallization and provides a facile means of studying the crystallization of biological molecules

    Dataset for "Polyamines Promote Aragonite Nucleation and Generate Biomimetic Structures"

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    This dataset supports a study in which we demonstrate that cationic polyamines ranging from small molecules to large polyelectrolytes can exert exceptional control over calcium carbonate polymorph, promoting aragonite nucleation at extremely low concentrations, but suppressing its growth at high concentrations, such that calcite or vaterite form. The data comprises electron microscopy and optical microscopy images of calcite and aragonite crystals, and shows the preparation of aragonite crystals for TEM using FIB. TGA data of crystals including additives is given. The full supplementary information to support the main article is also provided

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