cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.18865366
title: Self-management interventions to improve mobility after stroke: an integrative review

description: To review the evidence around self-management interventions used to improve mobility post-stroke. An integrative review was carried out. Eight databases were searched from 1992 to July 2021 using keywords based on the PICOS strategy. Two reviewers independently screened and extracted the relevant data. Quality of studies was assessed and a quantitatively led narrative synthesis of data, supported by qualitative evidence, was then conducted. Twenty-four studies with 823 participants were reviewed. Self-management strategies such as patient education, providing information, goal setting, problem-solving, action planning, self-monitoring, and social support were integrated with rehabilitation therapy to improve mobility post-stroke. The reviewed studies showed improvements in functional mobility and walking ability, self-efficacy, participation in physical activity, and quality of life to various extents. Participants in qualitative studies considered the self-management interventions as a valuable addition to their therapy and perceived the improvement in their mobility following them. There is some evidence that self-management interventions help to improve mobility outcomes post-stroke. Heterogeneity of data in the studies made meta-analysis impossible. Most of the identified studies examined the feasibility and fidelity of the interventions and further research is warranted to examine the efficacy of these interventions to improve functional mobility post-stroke.Implications for rehabilitationSelf-management interventions can improve mobility-related outcomes, which are considered a priority goal for many stroke survivors.Survivors valued their participation in self-management integrated care programmes and linked that to the perceived improvement in their rehabilitation outcomes.Self-management interventions such as patient education, goal-setting, self-monitoring, and professionals/carers support have been found to improve mobility outcomes for stroke survivors.The outcomes that benefited to a slight extent using self-management were; functional mobility, walking ability (speed, distance, and endurance), and a number of steps per day. Self-management interventions can improve mobility-related outcomes, which are considered a priority goal for many stroke survivors. Survivors valued their participation in self-management integrated care programmes and linked that to the perceived improvement in their rehabilitation outcomes. Self-management interventions such as patient education, goal-setting, self-monitoring, and professionals/carers support have been found to improve mobility outcomes for stroke survivors. The outcomes that benefited to a slight extent using self-management were; functional mobility, walking ability (speed, distance, and endurance), and a number of steps per day.
DOI: 10.6084/m9.figshare.18865366.v1
title: Self-management interventions to improve mobility after stroke: an integrative review

description: To review the evidence around self-management interventions used to improve mobility post-stroke. An integrative review was carried out. Eight databases were searched from 1992 to July 2021 using keywords based on the PICOS strategy. Two reviewers independently screened and extracted the relevant data. Quality of studies was assessed and a quantitatively led narrative synthesis of data, supported by qualitative evidence, was then conducted. Twenty-four studies with 823 participants were reviewed. Self-management strategies such as patient education, providing information, goal setting, problem-solving, action planning, self-monitoring, and social support were integrated with rehabilitation therapy to improve mobility post-stroke. The reviewed studies showed improvements in functional mobility and walking ability, self-efficacy, participation in physical activity, and quality of life to various extents. Participants in qualitative studies considered the self-management interventions as a valuable addition to their therapy and perceived the improvement in their mobility following them. There is some evidence that self-management interventions help to improve mobility outcomes post-stroke. Heterogeneity of data in the studies made meta-analysis impossible. Most of the identified studies examined the feasibility and fidelity of the interventions and further research is warranted to examine the efficacy of these interventions to improve functional mobility post-stroke.Implications for rehabilitationSelf-management interventions can improve mobility-related outcomes, which are considered a priority goal for many stroke survivors.Survivors valued their participation in self-management integrated care programmes and linked that to the perceived improvement in their rehabilitation outcomes.Self-management interventions such as patient education, goal-setting, self-monitoring, and professionals/carers support have been found to improve mobility outcomes for stroke survivors.The outcomes that benefited to a slight extent using self-management were; functional mobility, walking ability (speed, distance, and endurance), and a number of steps per day. Self-management interventions can improve mobility-related outcomes, which are considered a priority goal for many stroke survivors. Survivors valued their participation in self-management integrated care programmes and linked that to the perceived improvement in their rehabilitation outcomes. Self-management interventions such as patient education, goal-setting, self-monitoring, and professionals/carers support have been found to improve mobility outcomes for stroke survivors. The outcomes that benefited to a slight extent using self-management were; functional mobility, walking ability (speed, distance, and endurance), and a number of steps per day.
DOI: 10.6084/m9.figshare.17967522
title: Self-reported listening effort in adults with and without hearing loss: the Danish version of the Effort Assessment Scale (D-EAS)

description: Hearing-impaired individuals experience higher levels of listening effort in challenging situations, affecting their communication in daily life. The purpose of this study was to linguistically and culturally adapt the Effort Assessment Scale (EAS) into Danish (D-EAS) and to investigate its reliability and validity in normal-hearing and hearing-impaired listeners. The translation and cross-cultural adaptation of the EAS aligns with recommendations to adapt hearing-related questionnaires for different languages and cultures. Participants were 157 listeners (85 females) aged 20–86 years (M<sub>age</sub> = 62.5, SD = 16.8), with (non-hearing aid and hearing aid users) and without hearing loss. Reliability analysis showed good internal consistency for the six items in the D-EAS (Cronbach's α= 0.93). Exploratory and confirmatory factor analyses showed that D-EAS is a one-dimensional instrument. Significant differences were observed across items and overall scores between normal hearing (NH) and hearing loss groups. The D-EAS reliably estimates self-perception of listening effort in adults with and without hearing loss and is sensitive to the impact of hearing loss. Thus, the D-EAS can provide hearing care professionals and hearing researchers with valuable insights into people's self-perception of listening effort to help guide clinical and other rehabilitation decisions.Implications for RehabilitationThe Effort Assessment Scale (EAS) into Danish (D-EAS) is a reliable tool to estimate self-perception of listening effort in hearing-impaired adults.The D-EAS could be a helpful tool providing insights about aspects of hearing disability that is not commonly addressed with the traditional hearing assessments.The D-EAS can be incorporated in the hearing rehabilitation process as a tool for evaluating self-perception of listening effort in daily life situations.The D-EAS is easy to administer and requires a short time to answer, allowing its use by clinicians and hearing researchers in different settings. The Effort Assessment Scale (EAS) into Danish (D-EAS) is a reliable tool to estimate self-perception of listening effort in hearing-impaired adults. The D-EAS could be a helpful tool providing insights about aspects of hearing disability that is not commonly addressed with the traditional hearing assessments. The D-EAS can be incorporated in the hearing rehabilitation process as a tool for evaluating self-perception of listening effort in daily life situations. The D-EAS is easy to administer and requires a short time to answer, allowing its use by clinicians and hearing researchers in different settings.
DOI: 10.6084/m9.figshare.17967522.v1
title: Self-reported listening effort in adults with and without hearing loss: the Danish version of the Effort Assessment Scale (D-EAS)

description: Hearing-impaired individuals experience higher levels of listening effort in challenging situations, affecting their communication in daily life. The purpose of this study was to linguistically and culturally adapt the Effort Assessment Scale (EAS) into Danish (D-EAS) and to investigate its reliability and validity in normal-hearing and hearing-impaired listeners. The translation and cross-cultural adaptation of the EAS aligns with recommendations to adapt hearing-related questionnaires for different languages and cultures. Participants were 157 listeners (85 females) aged 20–86 years (M<sub>age</sub> = 62.5, SD = 16.8), with (non-hearing aid and hearing aid users) and without hearing loss. Reliability analysis showed good internal consistency for the six items in the D-EAS (Cronbach's α= 0.93). Exploratory and confirmatory factor analyses showed that D-EAS is a one-dimensional instrument. Significant differences were observed across items and overall scores between normal hearing (NH) and hearing loss groups. The D-EAS reliably estimates self-perception of listening effort in adults with and without hearing loss and is sensitive to the impact of hearing loss. Thus, the D-EAS can provide hearing care professionals and hearing researchers with valuable insights into people's self-perception of listening effort to help guide clinical and other rehabilitation decisions.Implications for RehabilitationThe Effort Assessment Scale (EAS) into Danish (D-EAS) is a reliable tool to estimate self-perception of listening effort in hearing-impaired adults.The D-EAS could be a helpful tool providing insights about aspects of hearing disability that is not commonly addressed with the traditional hearing assessments.The D-EAS can be incorporated in the hearing rehabilitation process as a tool for evaluating self-perception of listening effort in daily life situations.The D-EAS is easy to administer and requires a short time to answer, allowing its use by clinicians and hearing researchers in different settings. The Effort Assessment Scale (EAS) into Danish (D-EAS) is a reliable tool to estimate self-perception of listening effort in hearing-impaired adults. The D-EAS could be a helpful tool providing insights about aspects of hearing disability that is not commonly addressed with the traditional hearing assessments. The D-EAS can be incorporated in the hearing rehabilitation process as a tool for evaluating self-perception of listening effort in daily life situations. The D-EAS is easy to administer and requires a short time to answer, allowing its use by clinicians and hearing researchers in different settings.
DOI: 10.6084/m9.figshare.18032442
title: Predictive validity of the Chelsea Critical Care Physical Assessment tool (CPAx) in critically ill, mechanically ventilated adults: a prospective clinimetric study

description: To investigate the predictive validity of the Chelsea Critical Care Physical Assessment tool (CPAx) at intensive care unit (ICU) discharge in critically ill adults for their 90-day outcomes. This prospective clinimetric study investigated four theory-driven, a-priori hypotheses in critically ill adults recruited within 72–144 h of mechanical ventilation. The primary hypothesis was a moderate accuracy (AUROC = 0.750) in predicting residence at home within 90 days. Secondary hypotheses included discrimination between hospital discharge destinations, correlation with subsequent health-related quality of life and length of ICU stay. We observed a good accuracy (AUROC = 0.778) of the CPAx at ICU discharge in predicting a return to home within 90 days. The CPAx score significantly increased between the discharge groups “undesirable” ≤ “rehabilitation” ≤ “home” (<i>p</i> &lt; 0.001), but was not associated with 90-day health-related quality of life (physical: <i>r</i> = 0.261, mental: <i>r</i> = 0.193). Measured at baseline, CPAx scores correlated as expected with length of ICU stay (<i>r</i> = −0.443). The CPAx at ICU discharge had a good predictive validity in projecting residence at home within 90 days and general discharge destinations. The CPAx might therefore have clinical value in prediction, though it does not seem useful to predict subsequent health-related quality of life. <b>TRIAL REGISTRATION:</b> German Clinical Trials Register (DRKS) identification number: DRKS00012983, registered on September 20, 2017IMPLICATIONS FOR REHABILITATIONThe CPAx is a valid and reliable measurement instrument to evaluate critically ill adults’ physical function and activity, in addition the CPAx might be useful to predict rehabilitation needs.The CPAx had a moderate to good predictive validity with three out of four a-priori hypotheses accepted.A CPAx score of ≥18 at critical care discharge has a sensitivity of 80% and a specificity of 70% in predicting a return to home within 90 days.The CPAx might consequently be valuable to identify critically ill adults’ rehabilitation needs, to advise on their potential trajectory of recovery or to screen patients for follow-up after hospital discharge. The CPAx is a valid and reliable measurement instrument to evaluate critically ill adults’ physical function and activity, in addition the CPAx might be useful to predict rehabilitation needs. The CPAx had a moderate to good predictive validity with three out of four a-priori hypotheses accepted. A CPAx score of ≥18 at critical care discharge has a sensitivity of 80% and a specificity of 70% in predicting a return to home within 90 days. The CPAx might consequently be valuable to identify critically ill adults’ rehabilitation needs, to advise on their potential trajectory of recovery or to screen patients for follow-up after hospital discharge.
DOI: 10.6084/m9.figshare.18032442.v1
title: Predictive validity of the Chelsea Critical Care Physical Assessment tool (CPAx) in critically ill, mechanically ventilated adults: a prospective clinimetric study

description: To investigate the predictive validity of the Chelsea Critical Care Physical Assessment tool (CPAx) at intensive care unit (ICU) discharge in critically ill adults for their 90-day outcomes. This prospective clinimetric study investigated four theory-driven, a-priori hypotheses in critically ill adults recruited within 72–144 h of mechanical ventilation. The primary hypothesis was a moderate accuracy (AUROC = 0.750) in predicting residence at home within 90 days. Secondary hypotheses included discrimination between hospital discharge destinations, correlation with subsequent health-related quality of life and length of ICU stay. We observed a good accuracy (AUROC = 0.778) of the CPAx at ICU discharge in predicting a return to home within 90 days. The CPAx score significantly increased between the discharge groups “undesirable” ≤ “rehabilitation” ≤ “home” (<i>p</i> &lt; 0.001), but was not associated with 90-day health-related quality of life (physical: <i>r</i> = 0.261, mental: <i>r</i> = 0.193). Measured at baseline, CPAx scores correlated as expected with length of ICU stay (<i>r</i> = −0.443). The CPAx at ICU discharge had a good predictive validity in projecting residence at home within 90 days and general discharge destinations. The CPAx might therefore have clinical value in prediction, though it does not seem useful to predict subsequent health-related quality of life. <b>TRIAL REGISTRATION:</b> German Clinical Trials Register (DRKS) identification number: DRKS00012983, registered on September 20, 2017IMPLICATIONS FOR REHABILITATIONThe CPAx is a valid and reliable measurement instrument to evaluate critically ill adults’ physical function and activity, in addition the CPAx might be useful to predict rehabilitation needs.The CPAx had a moderate to good predictive validity with three out of four a-priori hypotheses accepted.A CPAx score of ≥18 at critical care discharge has a sensitivity of 80% and a specificity of 70% in predicting a return to home within 90 days.The CPAx might consequently be valuable to identify critically ill adults’ rehabilitation needs, to advise on their potential trajectory of recovery or to screen patients for follow-up after hospital discharge. The CPAx is a valid and reliable measurement instrument to evaluate critically ill adults’ physical function and activity, in addition the CPAx might be useful to predict rehabilitation needs. The CPAx had a moderate to good predictive validity with three out of four a-priori hypotheses accepted. A CPAx score of ≥18 at critical care discharge has a sensitivity of 80% and a specificity of 70% in predicting a return to home within 90 days. The CPAx might consequently be valuable to identify critically ill adults’ rehabilitation needs, to advise on their potential trajectory of recovery or to screen patients for follow-up after hospital discharge.
DOI: 10.5281/zenodo.5940859
title: VaryMinions

description: From business processes to course management, variability-intensive software systems (VIS) are now ubiquitous. Such systems can configure their behaviours through the activation of options, e.g., to derive variants handling building permits across municipalities, or implementing different functionalities(quizzes, forums) for a given course. These customisation facilities allow VIS to support a variety of relevant customer requirements while taking advantage of reuse for common parts, thus realising both scope and scale economies.Behavioural differences amongst variants manifest themselves in event logs.Should an anomalous behaviour happen or a refactoring of the system needed, it is mandatory to know which variant(s) have produced this behaviour. Since variant information is barely present in logs, this paper supports this task by employing machine learning techniques to map behaviours (event sequences)to variants. Specifically, we train Long Short Term Memory (LSTMs) andGated Recurrent Units (GRUs), two kinds of recurrent neural networks, to relate event sequences with the variants they belong to on six different datasets issued from the configurable process and VIS domains. Our results, after having evaluated 20 different architectures of LSTM/GRU, demonstrate that it is possible to learn effectively the trace-to-variant mapping with a good accuracy(at least 70% and up to 99%) and at scale, i.e., identifying 50 variants using5000+ traces for each variant.
description: Sophie Fortz is supported by the FNRS via a FRIA grant. Paul Temple is supported by the EOS VeriLearn project (FNRS/FWO Grant ). Gilles Perrouin is an FNRS Research Associate.
DOI: 10.5281/zenodo.5083333
title: VaryMinions

description: From business processes to course management, variability-intensive software systems (VIS) are now ubiquitous. Such systems can configure their behaviours through the activation of options, e.g., to derive variants handling building permits across municipalities, or implementing different functionalities(quizzes, forums) for a given course. These customisation facilities allow VIS to support a variety of relevant customer requirements while taking advantage of reuse for common parts, thus realising both scope and scale economies.Behavioural differences amongst variants manifest themselves in event logs.Should an anomalous behaviour happen or a refactoring of the system needed, it is mandatory to know which variant(s) have produced this behaviour. Since variant information is barely present in logs, this paper supports this task by employing machine learning techniques to map behaviours (event sequences)to variants. Specifically, we train Long Short Term Memory (LSTMs) andGated Recurrent Units (GRUs), two kinds of recurrent neural networks, to relate event sequences with the variants they belong to on six different datasets issued from the configurable process and VIS domains. Our results, after having evaluated 20 different architectures of LSTM/GRU, demonstrate that it is possible to learn effectively the trace-to-variant mapping with a good accuracy(at least 80% and up to 99%) and at scale, i.e., identifying 50 variants using5000+ traces for each variant.
description: Sophie Fortz is supported by the FNRS via a FRIA grant. Gilles Perrouin is an FNRS Research Associate.
DOI: 10.5281/zenodo.5902450
title: ULTRA: Ultimate Rootkit Detection over the Air

description: Data used in the paper <em>"ULTRA: Ultimate Rootkit Detection over the Air" </em>presented at RAID-2022. The archive "traces.tar.gz" contains the following directories: <strong>traces_ARM: </strong>extracted bandwidth of spectrograms from ARM EM-traces, <strong>traces_MIPS: </strong>extracted bandwidth of spectrograms from MIPS EM-traces (usual probe: H-Field Langer RF-U 5-2 and position 0), <strong>traces_MIPS_relocation: </strong>extracted bandwidth of spectrograms from ARM EM-traces (usual probe: H-Field Langer RF-U 5-2 and position 1), <strong>traces_MIPS_relocation_cheap: </strong>extracted bandwidth of spectrograms from ARM EM-traces (hand crafted probe and position 2),<br> The code used for the analysis of this data is available here.
DOI: 10.5281/zenodo.5902451
title: ULTRA: Ultimate Rootkit Detection over the Air

description: Data used in the paper <em>"ULTRA: Ultimate Rootkit Detection over the Air" </em>presented at RAID-2022. The archive "traces.tar.gz" contains the following directories: <strong>traces_ARM: </strong>extracted bandwidth of spectrograms from ARM EM-traces, <strong>traces_MIPS: </strong>extracted bandwidth of spectrograms from MIPS EM-traces (usual probe: H-Field Langer RF-U 5-2 and position 0), <strong>traces_MIPS_relocation: </strong>extracted bandwidth of spectrograms from ARM EM-traces (usual probe: H-Field Langer RF-U 5-2 and position 1), <strong>traces_MIPS_relocation_cheap: </strong>extracted bandwidth of spectrograms from ARM EM-traces (hand crafted probe and position 2),<br> The code used for the analysis of this data is available here.
DOI: 10.5281/zenodo.5414107
title: Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification

description: Data used in the paper: "Obfuscation Revealed: Leveraging Electromagnetic Signals for<br> Obfuscated Malware Classification". The paper has been accepted at ACSAC-2021. Two dataset are available: traces_selected_bandwidth.zip: the extracted bandwidth (40) of spectrograms from the testing dataset to reproduce the classification results presented in the paper, raw_data_reduced_dataset.zip: a reduce set of the raw electromagnetic traces to reproduce the end-to-end process (pre-processing and classification). Due to storage constraints we did not upload the full datasets, fill free to contact us to get the remaining ones.
DOI: 10.5281/zenodo.4317418
title: Obfuscation Revealed: Leveraging Electromagnetic Signals for Obfuscated Malware Classification

description: Data used in the paper: "Obfuscation Revealed: Leveraging Electromagnetic Signals for<br> Obfuscated Malware Classification". The paper has been accepted at ACSAC-2021. Two dataset are available: traces_selected_bandwidth.zip: the extracted bandwidth (40) of spectrograms from the testing dataset to reproduce the classification results presented in the paper, raw_data_reduced_dataset.zip: a reduce set of the raw electromagnetic traces to reproduce the end-to-end process (pre-processing and classification). Due to storage constraints we did not upload the full datasets, fill free to contact us to get the remaining ones.