103 research outputs found

    Designing Heterogeneous-mHealth Apps for Cystic Fibrosis Adults

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    In this chapter, we will discuss the design and development of a patient passport mHealth application for Cystic Fibrosis adults from ideation to app-store release. By allowing the patients access to their own unique data, it is anticipated that it will be of benefit when travelling abroad and between CF centres. The design process followed a pipeline we developed that is informed by patient and healthcare professional input. The app structure resembles an Irish patient file and is divided into three categories: “My CF Info”, “My Medical History”, and “My Clinical Appointments”. My CF Info allows the patient to store personal information such genotype, medical team contact information, physiotherapy, allergies, and medications. My Medical History allows the user to record information such as CF renal disease, CF diabetes, and the insertion/removal of a portacath/gastrostomy tube. My Clinical Appointments allows the user to record the type of appointment (annual assessment, clinic, other) and all information that would ordinarily be inserted into a patient file such as weight, height, spirometry and other comments. Weight and lung function are also displayed in a plot graph. The app has undergone pilot testing with five CF adults before being rolled out onto the Google Play Store

    Research on the Social Causes of Juvenile Crime: Final Report

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    published_or_final_versionCommissioned by: Fight Crime Committee. Prepared by: The University of Hong Kon

    Virtual monitoring in CF – the importance of continuous monitoring in a multi-organ chronic condition

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    Cystic Fibrosis (CF) is a chronic life-limiting condition that affects multiple organs within the body. Patients must adhere to strict medication regimens, physiotherapy, diet, and attend regular clinic appointments to manage their condition effectively. This necessary but burdensome requirement has prompted investigations into how different digital health technologies can enhance current care by providing the opportunity to virtually monitor patients. This review explores how virtual monitoring has been harnessed for assessment or performance of physiotherapy/exercise, diet/nutrition, symptom monitoring, medication adherence, and wellbeing/mental-health in people with CF. This review will also briefly discuss the potential future of CF virtual monitoring and some common barriers to its current adoption and implementation within CF. Due to the multifaceted nature of CF, it is anticipated that this review will be relevant to not only the CF community, but also those investigating and developing digital health solutions for the management of other chronic diseases

    Analysis of a driver behaviour improvement tool to reduce fuel consumption

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    Development and field trial of a driver assistance system to encourage eco-driving in light commercial vehicle fleets

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    Development of a new method to assess fuel saving using gear shift indicators

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    European regulations set the emissions requirements for new vehicles at 130 g CO2/km, with an additional 10 g CO2/km to be achieved by additional complementary measures, including gear shift indicators. However, there is presently little knowledge of how much fuel or CO2 could actually be saved by the introduction of gear shift indicators, and there is no consensus on how these savings should be quantified. This study presents a procedure which allows these savings to be quantified over a New European Driving Cycle, and explores the trade-off between fuel savings and drivability. A vehicle model was established and calibrated using data obtained from pedal ramp tests conducted at steady speed using a chassis dynamometer, significantly reducing the time required to generate a calibration data set when compared with a steady-state mapping approach. This model was used for the optimisation of gear shift points on the New European Driving Cycle for reduced fuel consumption subject to drivability constraints. During model validation the greatest fuel saving achieved experimentally for a warm engine was 3.6% over the New European Driving Cycle, within the constraints imposed using subjective driver appraisal of vehicle drivability. The same shift strategy for a cold start driving cycle showed a fuel saving of 4.3% over the baseline, with corresponding savings in CO2 of 4.5% or 6.4 g CO2/km. For both hot and cold tests the savings were made entirely in the urban phase of the New European Driving Cycle; there were no significant differences in fuel consumption in the extra-urban phase. These results suggest that the introduction of gear shift indicators could have a substantial impact, contributing significantly towards the 10 g CO2/km to be achieved by additional complementary measures when assessed in this way. It is not clear whether these savings would translate into real world driving conditions, but for legislative purposes an assessment procedure based on the New European Driving Cycle remains a logical choice for simplicity and continuity. </jats:p

    Test and simulation of variable air gap concept on axial flux electric motor

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    The effect of the surface properties of poly(methyl methacrylate) on the attachment, adhesion and retention of fungal conidia

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    Poly(methyl methacrylate) (PMMA) surfaces, (commercial PMMA (PMMAc), spin coated PMMA (PMMAsc) and a 90% methylmethacrylate/10% 3-methacryloxypropyltrimethoxysilane random copolymer (P(MMA-co-gMPS)) were used to determine the effect of surface properties on conidia biofouling. The contact angles of the substrates demonstrated that the PMMAsc and the P(MMA-co-gMPS) polymer (62.8°) were more wettable than the PMMAc surface (71.0°). The PMMAsc had the greatest roughness value (32.0 nm) followed by the PMMAc (3.0 nm), then P(MMA-co-gMPS) (1 nm). Aspergillus niger 1957 conidia were spherical, smooth and hydrophobic (12.1%). Aspergillus niger 1988 conidia were spherical with spikes and hydrophobic (17.1%). Aureobasidium pullulans was elliptical with longitudinal ridges and hydrophilic (79.9%). Following attachment assays, cPMMA attached the greatest numbers of conidia. Following the adhesion and retention assays (washing step included in the protocol), A. niger 1957 and A. niger 1988 were least adhered to the P(MMA-co-gMPS) surface, whilst A. pulluans was least adhered to the PMMAsc surface. This work demonstrated that in the absence of a washing step, only the surface properties influenced the conidia attachment, whilst in the presence of a washing step, both the properties of the surfaces and the conidia affected conidia adhesion and retention. Hence, the methodology used (with or without a washing step) should reflect the environment in which the surface is to be applied

    Development and assessment of a 3D tooth morphology quiz for dental students

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    Tooth morphology has a pivotal role in the dental curriculum and provides one of the important foundations of clinical practice. To supplement tooth morphology teaching a three‐dimensional (3D) quiz application (app) was developed. The 3D resource enables students to study tooth morphology actively by selecting teeth from an interactive quiz, modify their viewpoint and level of zoom. Additionally, students are able to rotate the tooth to obtain a 3D spatial understanding of the different surfaces of the tooth. A cross‐over study was designed to allow comparison of students’ results after studying with the new application or traditionally with extracted/model teeth. Data show that the app provides an efficient learning tool and that students’ scores improve with usage (18% increase over three weeks, P < 0.001). Data also show that student assessment scores were correlated with scores obtained while using the app but were not influenced by the teaching modality initially accessed (r2 = 0.175, P < 0.01). Comparison of the 2016 and 2017 class performance shows that the class that had access to the app performed significantly better on their final tooth morphology assessment (68.0% ±15.0 vs. 75.3% ±13.4, P < 0.01). Furthermore, students reported that the 3D application was intuitive, provided useful feedback, presented the key features of the teeth, and assisted in learning tooth morphology. The 3D tooth morphology app thus provides students with a useful adjunct teaching tool for learning dental anatomy
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