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1,047 results for “Disability”
A Benchmark dataset on Semantic Change in Scholarly Publications on Disability
<p>This is a benchmark dataset for semantic shift detection in disability-related corpora, including collected title and abstract text from PubMed and ArXiv, annotation sets based on domain experts and LLMs, and extracted KGs (Wikidata entity claims). The corpus from PubMed covers the period from the 1900s to 2023, while the corpus from ArXiv covers the period from the 1990s to 2023. The corpus was filtered based on 16 disability-related target words. In the annotation sets, '1' indicates that a semantic shift occurred for a target word, while '0' indicates the opposite. In particular, the LLM-based annotation sets include their generated text, and we used the Llama2 and GPT-4 models. '7b' refers to the parameter size of the Llama2 model. Graph_data.zip contains Wikidata entity claims.</p>
BeBOD estimates of incidence, prevalence, and years lived with disability for 57 cancer types, 2004-2021
<p><strong>Belgian National Burden of Disease Study</strong></p><p><strong>Estimates of the morbidity burden of disease for 57 cancer sites</strong></p><p><i>Incidence</i></p><p>Data on new cancer cases in Belgium are collected by the <a href="https://kankerregister.org/Annual%20Tables">Belgian Cancer Registry</a> (BCR). For the current study, we selected 80 ICD-10 (C00.0-96.9 and chronic myeloid neoplasms) codes resulting in 57 cancer sites. Data were extracted by year (from 2004 to 2021), age group (5-years), sex and region (N=3). We excluded "Respiratory system and intrathoracic organs, NOS (not otherwise specified)" from further analyses because of too few cases.</p><p><i>Prevalence</i></p><p>Prevalence estimates were estimated using the above-described incidence estimates and the survival estimates also provided by BCR, derived from linkage with the Belgian Crossroads Bank for Social Security. We used a 10-year prevalence perspective meaning that from the year 2013 onwards, we were able to define the prevalence in a given year as the sum of person-months spent in the different health states. Specifically, we used a microsimulation approach to simulate future health states for each year-, age-, sex-, region- and cancer-specific cohort of incident cases.</p><p>See for more details: <a href="https://doi.org/10.1186/s12885-021-09109-4">https://doi.org/10.1186/s12885-021-09109-4</a></p><p><i>Years Lived with Disability</i></p><p>Years Lived with Disability (YLDs) were calculated using both an incidence and prevalence perspective as a measure of morbidity. YLDs are calculated as the product of the number of prevalent cases with the disability weight (DW), averaged over the different health states of the disease. The DWs reflect the relative reduction in quality of life, on a scale from 0 (perfect health) to 1 (death). We calculate YLDs using the Global Burden of Disease DWs.</p>
BeBOD estimates of mortality, years of life lost, prevalence, years lived with disability, and disability-adjusted life years for 38 causes, 2013-2020
<p><strong>Belgian National Burden of Disease Study</strong></p> <p><strong>Estimates of the burden of disease</strong></p> <p><em>Causes of death</em></p> <p>Our estimates are based on the official causes of death database compiled by <a href="https://statbel.fgov.be/en/themes/population/mortality-life-expectancy-and-causes-death/causes-death">Statbel</a>. We first map the ICD-10 codes of the underlying causes of death to the Global Burden of Disease cause list, consisting of 131 unique causes of deaths. Next, we perform a probabilistic redistribution of ill-defined deaths to specific causes, to obtain a specific cause of death for each deceased person.</p> <p><em>Years of Life Lost</em></p> <p>In addition to counting the number of deaths, we also calculate Years of Life Lost (YLLs) as a measure of premature mortality. YLLs correspond to the life expectancy at the age of death, and therefore give a higher weight to deaths occurring at younger ages. We calculate YLLs using the Global Burden of Disease reference life table, which represents the theoretical maximum number of years that people can expect to live.</p> <p><em>Prevalence</em></p> <p>Our estimates are based on the GBD cause list for morbidity by <a href="https://www.healthdata.org/">IHME</a>. We first select for each of the 38 causes, the most suitable local data source as described in the <a href="https://www.sciensano.be/en/biblio/belgian-national-burden-disease-study-guidelines-calculation-dalys-belgium-2">protocol</a>. Next, we calculate the prevalence by year, region, age, and sex, to obtain a prevalence for each of the included diseases.</p> <p><em>Years Lived with Disability</em></p> <p>In addition to calculating the number of prevalent cases, we also calculate Years Lived with Disability (YLDs) as a measure of morbidity. YLDs are calculated as the product of the number of prevalent cases with the disability weight (DW), averaged over the different health states of the disease. The DWs reflect the relative reduction in quality of life, on a scale from 0 (perfect health) to 1 (death). We calculate YLDs using the Global Burden of Disease DWs.</p> <p><em>Disability-Adjusted Life Years</em></p> <p>Disability-Adjusted Life Years (DALYs) are a measure of overall disease burden, representing the healthy life years lost due to morbidity and mortality. DALYs are calculated as the sum of YLLs and YLDs for each of the considered diseases.</p>
BeBOD estimates of mortality, years of life lost, prevalence, years lived with disability, and disability-adjusted life years for 38 causes, 2013-2021
<p><strong>Belgian National Burden of Disease Study</strong></p> <p><strong>Estimates of the burden of disease</strong></p> <p><em>Causes of death</em></p> <p>Our estimates are based on the official causes of death database compiled by <a href="https://statbel.fgov.be/en/themes/population/mortality-life-expectancy-and-causes-death/causes-death">Statbel</a>. We first map the ICD-10 codes of the underlying causes of death to the Global Burden of Disease cause list, consisting of 131 unique causes of deaths. Next, we perform a probabilistic redistribution of ill-defined deaths to specific causes, to obtain a specific cause of death for each deceased person.</p> <p><em>Years of Life Lost</em></p> <p>In addition to counting the number of deaths, we also calculate Years of Life Lost (YLLs) as a measure of premature mortality. YLLs correspond to the life expectancy at the age of death, and therefore give a higher weight to deaths occurring at younger ages. We calculate YLLs using the Global Burden of Disease reference life table, which represents the theoretical maximum number of years that people can expect to live.</p> <p><em>Prevalence</em></p> <p>Our estimates are based on the GBD cause list for morbidity by <a href="https://www.healthdata.org/">IHME</a>. We first select for each of the 38 causes, the most suitable local data source as described in the <a href="https://www.sciensano.be/en/biblio/belgian-national-burden-disease-study-guidelines-calculation-dalys-belgium-2">protocol</a>. Next, we calculate the prevalence by year, region, age, and sex, to obtain a prevalence for each of the included diseases.</p> <p><em>Years Lived with Disability</em></p> <p>In addition to calculating the number of prevalent cases, we also calculate Years Lived with Disability (YLDs) as a measure of morbidity. YLDs are calculated as the product of the number of prevalent cases with the disability weight (DW), averaged over the different health states of the disease. The DWs reflect the relative reduction in quality of life, on a scale from 0 (perfect health) to 1 (death). We calculate YLDs using the Global Burden of Disease DWs.</p> <p><em>Disability-Adjusted Life Years</em></p> <p>Disability-Adjusted Life Years (DALYs) are a measure of overall disease burden, representing the healthy life years lost due to morbidity and mortality. DALYs are calculated as the sum of YLLs and YLDs for each of the considered diseases.</p>
INDICATORS TO EVALUATE THE LABOUR INSERTION OF PEOPLE WITH DISABILITIES IN CONVENTIONAL COMPANIES IN SPAIN: QUANTITIATIVE DATA SET OF DELPHI STUDY (PHASE 2 AND PHASE 3)
<p><span>The level of labor integration of people with disability (PwD) is notably lower than that of people without disabilities. In order to evaluate the success of the labor market integration of people with disabilities, it is necessary to establish a series of indicators that go beyond hiring rates. Hence, the objective of this study is to develop a list of indicators with their specified individual weight that will serve to evaluate the success of the labor market insertion of PwD in conventional companies. </span></p> <p><span>Methodology: </span></p> <p><span>The Delphi method was used. </span></p> <p><span>PHASE 1</span></p> <p><span>In Phase 1, an open-ended questionnaire was distributed to 48 human resources and disability experts. <span><br></span></span></p> <p><span>PHASE 2</span></p> <p><span>Based on the theoretical dimensions obtained, a list of 52 indicators was drawn up and the experts were asked to evaluate the importance of each item using a scale of 0 to 10 points. In addition, in this second questionnaire, they were encouraged to propose improvements in the final wording of the items, as well as in the relevance and denomination of the dimensions into which they had been grouped. No suggestions were received to modify the wording or to incorporate additional items.</span></p> <p><span>PHASE 3</span></p> <p><span>Once the scores of all the participants had been collected, a third questionnaire was sent out with the aim of achieving a statistical consensus within the group of experts. In this questionnaire, each panel member was informed of their degree of agreement or disagreement in relation to the group as a whole, without revealing the identity of the other participants. In other words, each participant was provided with information on the average rating of the group and their own initial rating (from Phase 2) of each of the 52 indicators, offering them the option to modify their response if they considered it appropriate. If they chose to change their assessment, they were asked to justify their reasons.</span></p> <p><span><span>To assess the possible convergence of opinion, the change in the responses received in the third phase with respect to the second phase was analyzed. We examined whether there had been variations in the scores given by the experts in the second phase once the group's mean ratings had been received. For this purpose, the “proportion of experts” statistic was used to verify that the average value of the responses in this third phase was within a range from [-0.5 to +0.5], compared to the average value of the scores in the second phase. In the case of non-convergence of opinion, this methodology allows for as many rounds as necessary until convergence is achieved. </span></span></p> <p><span><span>THIS DATA SET COLLECT THE ANSWERS OF THE EXPERTS OF PHASE 2 AND PHASE 3.</span></span></p>
Datasets for testing the computational thinking of children with mental disabilities by cCT-test
<p>This study aims to evaluate the impact of web technologies on the development of computational thinking of students with mental disabilities. The experiment involved 14 students aged 8-12. For 8 weeks children were trained in computational thinking and computer science. Assessment of computational thinking was performed with cCT-test by El-Hamamsi et al. before and after the experiment (El-Hamamsy, L., Zapata-Cáceres, M., Barroso, E. M., Mondada, F., Zufferey, J. D., & Bruno, B. (2022). The competent Computational Thinking Test: Development and Validation of an Unplugged Computational Thinking Test for Upper Primary School. Journal of Educational Computing Research, 07356331221081753 <a href="https://doi.org/10.1177/07356331221081753">https://doi.org/10.1177/07356331221081753</a>).</p> <p>After conducting computer science lessons using web technologies the respondents showed a higher level of computational thinking (M=15,7, SD=3,69), compared to the results of preliminary testing (M=5,93, SD=2,3). Web technologies can significantly increase the effectiveness of inclusive pedagogy, which establishes the importance of integrating web technologies into the teaching system in inclusive classes of general education schools.</p> <p>Examples of tasks are located at the link <a href="https://miro.com/app/board/uXjVPz8p6LE=/?share_link_id=864046044746">https://miro.com/app/board/uXjVPz8p6LE=/?share_link_id=864046044746</a> </p> <p>https://wordwall.net/resource/48631685</p> <p>https://wordwall.net/resource/48650842</p> <p>https://wordwall.net/resource/48655774</p> <p>https://wordwall.net/resource/48661305</p> <p> </p>
Locomotor Adaptation Training to Prevent Mobility Disability: Dataset
<p>Data for 3 groups of older adults at risk of mobility disability (1: control, 2: traditional treadmill intervention, 3: split-belt treadmill intervention) were collected at 2 timepoints 1) prior (PRE) and 2) following (POST) a 16-week intervention study. </p> <p>5 dimensions of mobility disability were assessed:</p> <p>1. Cognitive Function</p> <p>To include - Mini Mental-State Exam score (MMSE), Trail making test part A (TrailsA), Trail making test part B (TrailsB), and the difference between trail making test A & B (TMT)</p> <p>2. Clinical Function</p> <p>To include - Short Physical Performance Battery score (SPPB), Dynamic Gait Index (DGI), Timed Up-and-Go performance (TUG)</p> <p>3. Spatiotemporal Gait Parameters</p> <p>To include - self-selected walking speed, cadence, stride length, stride time, step width, stance time (as % gait cycle), and standard deviations of each of these variables.</p> <p>4. Kinetic Gait Parameters</p> <p>To include - Peak plantarflexion moment, peak eccentric plantarflexor power, and peak concentric hip flexor power.</p> <p>5. Cardiovascular Fitness </p> <p>To include - maximal oxygen uptake (VO2max), heart rate (HR), ratings of perceived exertion (RPE), and gait efficiency</p> <p> </p> <p>Data set displayed in first sheet ("Data"), description of codes provided in the second sheet ("Codes").</p>
Can technical education in high school smooth postsecondary transitions for students with disabilities?
<p>Participation in Career Technical Education (CTE) programs has been proposed as a valuable strategy for supporting transition to independence among students with disabilities. We exploit a discontinuity created by admissions thresholds from a statewide system of CTE high schools. Our findings suggest attending CTE high schools has large positive effects on completing high school on time, employment, and earnings, including for individuals 22 years or older. Attending CTE schools also results in more time spent with non-disabled peers and higher 10th grade test scores. These results appear concentrated among male students, but the sample of female students is too small to support strong conclusions about outcomes. Notably, these estimates are for a system of CTE high schools operating at scale and serving students across a wide spectrum of disabilities, and the estimated effects appear broad based over disability type, time spent with non-disabled peers in 8th grade and previous academic performance.</p>
List of the names of all ex-members of the New Zealand Expeditionary Force, suffering permanent disability from 20% to 100%
<p> </p> <p>Compiled from returns supplied by the Commissioner of Pensions, in respect to: a) Permanent War Pensions, and from returns supplied by the Director-General of Medical Services, regarding: b) Discharged and undischarged hospital patients, assessed as suffering permanent disability, but not yet in receipt of a pension at date (28-4-20)</p> <p>A further list of the names of ex-members of the New Zealand Expeditionary Force suffering permanent disability from 20% to 100% acts as supplement to the first publication.</p> <p>The list is arranged in Military District under the three headings mentioned, and is subdivided into the principal Patriotic Societies and War Relief Associations operating in each district.</p> <p>NOTE: No permanent pensions awarded soldiers' dependants; and no temporary pensions of any description, are included herein.</p> <p>Registers were digitised and transcribed by Auckland Museum 2013.</p> <p><a href="https://www.aucklandmuseum.com/war-memorial/online-cenotaph/custom-search?k=war%2bpensions&amp;pp=4000">Dataset has been matched to Online Cenotaph</a></p> <p><a href="https://www.aucklandmuseum.com/collections-research/collections/search?sbj=Disabled+veterans--New+Zealand--Registers">Auckland Museum Collections Online Records</a></p> <p> </p>
Figure 3 in De novo mutations in the genome organizer CTCF cause intellectual disability
Figure 3. - Principal component analysis (PCA) of morphometric data. The ellipse highlights the group formed by the albino and normally pigmented specimens of the same size class. The albino is represented by the white square. Squares (N3 = 20-30 cm size-class); inverse triangles (N4 = 30-40 cm), circles (N5 = 40-50 cm), lozenges (N6 = 50-60 cm), and triangles (N7 = 60-70 cm).
Figure 2 in De novo mutations in the genome organizer CTCF cause intellectual disability
Figure 2. - Regressions of log of disc width vs. log of weight (A) and log of total length vs. log of weight (B) using the albino specimen and data from 28 female individuals of G. micrura. The albino specimen is represented by the white dot.
Data sets - The attitude of computer science teachers to inclusive education, Motivation to teach, Perception of the possible impact of computer science on students with mental disabilities
<p>Data sets </p> <p>The attitude of computer science teachers to inclusive education, Motivation to teach, Perception of the possible impact of computer science on students with mental disabilities. <br>In the period from February to October 2024, a survey of 112 computer science teachers in Kazakhstan (Pavlodar region) was conducted to determine attitudes to inclusive education, motivation to teach, and perception of the possible impact of computer science on students with mental disabilities.</p> <p>Questionnaire <br>https://docs.google.com/document/d/1LzukKSqW_mHMZXbMtN0ecmmU4cKJiwgf0laTWBHQSng/edit?usp=sharing</p> <p><strong>This research has been funded by the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan (Grant No. AP14872400).</strong></p>
Barriers & Facilitators of People With Disabilities in Accepting & Adopting Autonomous Shared Mobility Services (Project A5)
<p>Enclosed you will find the data collected during our STRIDE Phase II Extension research project (A5) and a data dictionary.</p>
Individuals with developmental disabilities do make individual stylistic contributions to text written with physical facilitation
<p>Corpora of texts written via Facilitated Communication (FC) among two Italian centres. The texts collected resulted from a >10 years period: 16 FC users and 8 eight facilitators were involved. For each centre, 4 and 5 folders were created respectively. Those labelled as Corpus 1 and Corpus 2 refer to the original corpus. The first code (U+ number) refers to the FC user. The code that follows the underscore refers to the facilitator (F+number). The folders labelled with the underscore _A,_B and _C, contain texts written by different users with a single facilitator, split in three different ways in order to acknowledge possible diachronic stylistic changes. These corpora were analysed through Stylo package for R. </p> <p> </p>
Dataset for the systematic literature review on low-cost Assitive Technologies for Disabled People using OSHW and OSS
<p>Repository with the complete list of articles and GitHub projects that were taken in the systematic literature review (SLR) on <strong>low-cost (frugal) Assistive Technologies for Persons with Disabilities</strong> using open-source hardware (OSHW) and open-source software (OSS).</p> <ul> <li>The first file contains a description of technologies (OSHW, OSS), difficulties in the studies, type of AT, number of participants in the evaluation in the testing stage, and type of study (alpha, beta, or pilot prototype) for the articles included in the SLR (n=155).</li> <li>The second file contains the detailed description of the GitHub projects in the SLR (n=41).</li> </ul>
TAM survey questionnaire responses of a head-mounted assistive mouse controller for people with upper limb disability
<p>This dataset contains TAM survey questionnaire and the corresponding responses of a head-mounted assistive mouse controller for people with upper limb disability.</p>
Can technical education in high school smooth postsecondary transitions for students with disabilities?
Open the record for dataset details and reuse information.
Supplementary materials for Plotkin-Sela et al 2010: Sniffing enables communication and environmental control for the severely disabled
<p>Supplementary materials for Plotkin-Sela et al 2010:</p> <p>Sniffing enables communication and environmental control for the severely disabled</p> <p>Anton Plotkin, Lee Sela, Aharon Weissbrod, Roni Kahana, Lior Haviv, Yaara Yeshurun, Nachum Soroker, Noam Sobel</p> <p>Proceedings of the National Academy of Sciences Aug 2010, 107 (32) 14413-14418; DOI: 10.1073/pnas.1006746107</p>
Multiple Sclerosis: Cerebral Circulation Time is prolonged and not correlated with expanded disability status scale (EDSS). A study using digital subtracted angiography
<p>Dataset used to study the relationship between cerebral circulation time (CCT) and some clinical evidences, e.g. expand disability status scale (EDSS), disease duration, age at onset,... CCT was measured through the digital subtraction angiography (DSA) technique. </p> <p>Statistical Parametric Mapping software (SPM, Wellcome Department of Cognitive Neurology, Institute of Neurology, University College London; http://www.fil.ion.ucl.ac.uk/spm/) and ad-hoc scripts developed in the MATLAB scientific computing environment (http://www.mathworks.com, MathWorks, MA, USA) were applied to valuate the lesion volume and brain volume in MS patients.</p>
Disability and Industrial Society 1780-1948: A Comparative Cultural History of British Coalfields: Statistical Compendium
<p>This statistical compendium gives information about accidents and injuries in the British coal industry from 1780 to 1948. It provides in tabular form statistics about the occurrence of non-fatal accidents, and various welfare and medical responses. It was produced as part of a Wellcome Trust Programme Grant in Medical History, 'Disability and Industrial Society: A Comparative Cultural History of British Coalfields 1780-1948' (095948/Z/11/Z)</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.