1,619 research outputs found

    Lived Disablers to Academic Success of the Visually Impaired at the University of Zambia, Sub‑Saharan Africa

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    The World Health Organization’s (WHO) benchmark of persons with disability in every population is 15.6 per cent. However, the University of Zambia is way below that benchmark as it is home to less than 0.1 per cent of students classified as ‘disabled’. Within the 0.1 per cent, students with visual impairment are the majority, estimated at 70 per cent. The purpose of this study was to explore disablers (also known as barriers) to academic success faced by students with visual impairment at the University of Zambia. A Hermeneutic Phenomenological approach directed the research process. Seven purposively sampled participants volunteered to voice their lived experiences and a cluster of themes emerged thereafter. Emerging from their lived experiences are thirteen disablers that impede the learning experiences at University and key amongst them are: (i) negative attitudes; (ii) policypractice disjuncture; (iii) staff unreadiness and unpreparedness; (iv) inaccessible buildings; and (v) rigid curricula. Keywords: disablers; Hermeneutic Phenomenology; inclusive education; University of Zambia; visual impairmen

    Lived Disablers to Academic Success of the Visually Impaired at the University of Zambia, Sub‑Saharan Africa

    Get PDF
    The World Health Organization’s (WHO) benchmark of persons with disability in every population is 15.6 per cent. However, the University of Zambia is way below that benchmark as it is home to less than 0.1 per cent of students classified as ‘disabled’. Within the 0.1 per cent, students withvisual impairment are the majority, estimated at 70 per cent. The purpose of this study was to explore disablers (also known as barriers) to academic success faced by students with visual impairment at the University of Zambia. A Hermeneutic Phenomenological approach directed the research process.Seven purposively sampled participants volunteered to voice their lived experiences and a cluster of themes emerged thereafter. Emerging from their lived experiences are thirteen disablers that impede the learning experiences at University and key amongst them are: (i) negative attitudes; (ii) policypractice disjuncture; (iii) staff unreadiness and unpreparedness; (iv) inaccessible buildings; and (v) rigid curricula

    A Commitment To Inclusive Care of Transgender Patients: A Program Evaluation

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    ABSTRACTSophie M. D. Austin: A Commitment to Inclusive Care of Transgender Patients: A Program Evaluation (Under the direction of Leslie Sharpe)Purpose: Transgender patients often face significant barriers accessing quality, affirming health care (Romanelli & Lindsey, 2020). Additionally, these patients often report negative health care experiences (Bizub & Allen, 2020). The purpose of this project is to identify areas that need improvement, with the goal of improving patient care. Methods: This project will be a program evaluation at two Piedmont Health Services (PHS) clinics and was guided by the Context, Input, Process, Product model. This program evaluation was completed through a chart review, an examination of the physical office space, and a survey distributed to staff and providers with direct patient care responsibilities. Results: Several areas were identified that may adversely affect safe and inclusive care for transgender patients, including an EMR banner that is cumbersome for noting pronouns and preferred name, lack of consistency between provider and staff documentation, and discrepancy between gender and gender identification, among other findings. Conclusions: Primary recommendations for change to improve care for transgender patients includes updating the EMR, particularly the banner, and providing training at regular intervals to both providers and staff. Additionally, it is recommended to include both a patient’s sex and gender identity in the banner.Doctor of Nursing Practic

    Across the Indian Ocean: a remarkable example of trans-oceanic dispersal in an austral mygalomorph spider [dataset]

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    The Migidae are a family of austral trapdoor spiders known to show a highly restricted and disjunct distribution pattern. Here, we aim to investigate the phylogeny and historical biogeography of the group, which was previously thought to be vicariant in origin, and examine the biogeographic origins of the genus Moggridgea using a dated multi-gene phylogeny. Moggridgea specimens were sampled from southern Australia and Africa, and Bertmainus was sampled from Western Australia. Sanger sequencing methods were used to generate a robust six marker molecular dataset consisting of the nuclear genes 18S rRNA, 28S rRNA, ITS rRNA, XPNPEP3 and H3 and the mitochondrial gene COI. Bayesian and Maximum Likelihood methods were used to analyse the dataset, and the key dispersal nodes were dated using BEAST. Based on our data, we demonstrate that Moggridgea rainbowi from Kangaroo Island, Australia is a valid member of the otherwise African genus Moggridgea. Molecular clock dating analyses show that the inter-specific divergence of M. rainbowi from African congeners is between 2.27–16.02 million years ago (Mya). This divergence date significantly post-dates the separation of Africa from Gondwana (95 Mya) and therefore does not support a vicariant origin for Australian Moggridgea. It also pre-dates human colonisation of Kangaroo Island, a result which is further supported by the intra-specific divergence date of 1.10–6.39 Mya between separate populations on Kangaroo Island. These analyses provide strong support for the hypothesis that Moggridgea colonised Australia via long-distance trans-Indian Ocean dispersal, representing the first such documented case in a mygalomorph spider

    Metrics Pipeline (Codename): An Analytics and Visualization Pipeline for Software Quality Metrics

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    The Metrics Pipeline (Codename) focuses on metrics indicative of team progress and project health instead of privileging individual metrics, e.g. number of commits, etc. The Metrics Dashboard allows the user to submit the URL of a hosted repository for batch analysis, whose results are then cached. Upon completion, the user can interactively study various metrics over time (at varying granularity), numerically, and visually. The initial version of the system is up and running as a public cloud service (SaaS) and supports project size (KLOC), defect density, defect spoilage, and productivity. While our system is by no means the first to support software metrics, we believe it may be one of the first community-focused extensible resources that can be used by any hosted project

    Enablers and disablers to academic success of students with visual impairment: a 10-year literature disclosure, 2007–2017.

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    Within the Sustainable Development Goal (SDG) and its 17 targets is a strong emphasis on the education of learners with disability. Whereas there have been massive improvements at lower levels regarding education of the marginalised, a lot more work remains undone at tertiary education level. In this discourse, we explore literature to reveal enablers and disablers to academic success of students with visual impairments (SwVI) at higher education level in the past 10 years in 16 countries doted across six habitable continents. Emerging from the study is a host of disablers such as (1) negative attitudes, (2) absence of inclusive education policy, (3) inaccessible learning environment and learning materials, (4) exclusive pedagogy, and (5) limited orientation and mobility. Amidst the disabling environment, a positive attitude, self-advocacy, and innovativeness stood out as key enablers to academic success by SwVI. The findings contribute to the realisation of the SDG agenda through advocacy on inclusive education policies and practices

    High sucrose consumption decouples intrinsic and synaptic excitability of AgRP neurons without altering body weight.

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    BACKGROUND/OBJECTIVE: As the obesity epidemic continues, the understanding of macronutrient influence on central nervous system function is critical for understanding diet-induced obesity and potential therapeutics, particularly in light of the increased sugar content in processed foods. Previous research showed mixed effects of sucrose feeding on body weight gain but has yet to reveal insight into the impact of sucrose on hypothalamic functioning. Here, we explore the impact of liquid sucrose feeding for 12 weeks on body weight, body composition, caloric intake, and hypothalamic AgRP neuronal function and synaptic plasticity. METHODS: Patch-clamp electrophysiology of hypothalamic AgRP neurons, metabolic phenotyping and food intake were performed on C57BL/6J mice. RESULTS: While mice given sugar-sweetened water do not gain significant weight, they do show subtle differences in body composition and caloric intake. When given sugar-sweetened water, mice show similar alterations to AgRP neuronal excitability as in high-fat diet obese models. Increased sugar consumption also primes mice for increased caloric intake and weight gain when given access to a HFD. CONCLUSIONS: Our results show that elevated sucrose consumption increased activity of AgRP neurons and altered synaptic excitability. This may contribute to obesity in mice and humans with access to more palatable (HFD) diets

    Coastal sediment grain size estimates on gravel beaches using Satellite Synthetic Aperture Radar (SAR)

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    first_page settings Order Article Reprints Open AccessArticle Coastal Sediment Grain Size Estimates on Gravel Beaches Using Satellite Synthetic Aperture Radar (SAR) by Sophie Mann 1,* [ORCID] , Alessandro Novellino 2 [ORCID] , Ekbal Hussain 2 [ORCID] , Stephen Grebby 1 [ORCID] , Luke Bateson 2 [ORCID] , Austin Capsey 3 and Stuart Marsh 1 [ORCID] 1 Nottingham Geospatial Insitute, University of Nottingham, Triumph Road, Nottingham NG7 2TU, UK 2 British Geological Survey, Nicker Hill, Keyworth, Nottingham NG12 5GG, UK 3 UK Hydrographic Office, Admiralty Way, Taunton TA1 2DN, UK * Author to whom correspondence should be addressed. Remote Sens. 2024, 16(10), 1763; https://doi.org/10.3390/rs16101763 Submission received: 10 April 2024 / Revised: 1 May 2024 / Accepted: 11 May 2024 / Published: 16 May 2024 (This article belongs to the Special Issue Coastal and Littoral Observation Using Remote Sensing) Download keyboard_arrow_down Browse Figures Versions Notes Abstract Coastal sediment grain size is an important factor in determining coastal morphodynamics. In this study, we explore a novel approach for retrieving the median sediment grain size (D50) of gravel-dominated beaches using Synthetic Aperture Radar (SAR) spaceborne imagery. We assessed this by using thirty-six Sentinel-1 (C-band SAR) satellite images acquired in May and June 2022 and 2023, and three NovaSAR (S-band SAR) satellite images acquired in May and June 2022, for three different training sites and one test site across England (the UK). The results from the Sentinel-1 C-band data show strong positive correlations (R2≥0.75 ) between the D50 and the backscatter coefficients for 15/18 of the resultant models. The models were subsequently used to derive predictions of D50 for the test site, with the models which exhibited the strongest correlations resulting in Mean Absolute Errors (MAEs) in the range 2.26–5.47 mm. No correlation (R2 = 0.04) was found between the backscatter coefficients from the S-band NovaSAR data and D50. These results highlight the potential to derive near-real time estimates of coastal sediment grain size for gravel beaches to better inform coastal erosion and monitoring programs

    Coastal Sediment Grain Size Estimates on Gravel Beaches Using Satellite Synthetic Aperture Radar (SAR)

    Get PDF
    Coastal sediment grain size is an important factor in determining coastal morphodynamics. In this study, we explore a novel approach for retrieving the median sediment grain size (D50) of gravel-dominated beaches using Synthetic Aperture Radar (SAR) spaceborne imagery. We assessed this by using thirty-six Sentinel-1 (C-band SAR) satellite images acquired in May and June 2022 and 2023, and three NovaSAR (S-band SAR) satellite images acquired in May and June 2022, for three different training sites and one test site across England (the UK). The results from the Sentinel-1 C-band data show strong positive correlations (R2≥0.75) between the D50 and the backscatter coefficients for 15/18 of the resultant models. The models were subsequently used to derive predictions of D50 for the test site, with the models which exhibited the strongest correlations resulting in Mean Absolute Errors (MAEs) in the range 2.26–5.47 mm. No correlation (R2 = 0.04) was found between the backscatter coefficients from the S-band NovaSAR data and D50. These results highlight the potential to derive near-real time estimates of coastal sediment grain size for gravel beaches to better inform coastal erosion and monitoring programs
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