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opencc-by-4.0Sep 2022View details →

Investigation on Dynamic Characteristics of Lightning Return Stroke Channel

The dynamic characteristics in lightning discharge plasma channel are of great significance in studying the micro-physical mechanism of the discharge process. This paper established a simplified radiation-hydrodynamic model (RHM) of the return stroke channel radial expansion based on the fluid dynamics theory, and for the first time, considered the affect of the light radiation loss in the discharge process. The temporal evolutions of the characteristic parameters, such as temperature, pressure and expansion rate for return stroke channel were analyzed. The results indicated that the current peak value and the risetime are important factors in determining the  channel dynamics characteristics. At the initial stage of return stroke, the light radiation loss has a distinct influence on channel temperature, which leads to a transitory drop in temperature forming a bimodal waveform structure. Following the peak current, the channel reaches peak pressure, which leads to a subsequent  secondary temperature peak and accelerates the expansion of the channel. Peak current and the risetime are the indicator parameters of strong discharge and the main factors of lightning disaster. This work provides reference data for further research on the radial energy transport of lightning return stroke channel and the formation mechanism of shock waves.The dynamic characteristics in lightning discharge plasma channel are of great significance in studying the micro-physical mechanism of the discharge process. This paper established a simplified radiation-hydrodynamic model (RHM) of the return stroke channel radial expansion based on the fluid dynamics theory, and for the first time, considered the affect of the light radiation loss in the discharge process. The temporal evolutions of the characteristic parameters, such as temperature, pressure and expansion rate for return stroke channel were analyzed. The results indicated that the current peak value and the risetime are important factors in determining the  channel dynamics characteristics. At the initial stage of return stroke, the light radiation loss has a distinct influence on channel temperature, which leads to a transitory drop in temperature forming a bimodal waveform structure. Following the peak current, the channel reaches peak pressure, which leads to a subsequent  secondary temperature peak and accelerates the expansion of the channel. Peak current and the risetime are the indicator parameters of strong discharge and the main factors of lightning disaster. This work provides reference data for further research on the radial energy transport of lightning return stroke channel and the formation mechanism of shock waves.

opencc-by-4.0Nov 2021View details →

4-way Tabla Stroke Classification with Models Adapted from ADT

Recordings and 4-way stroke category annotations of tabla playing of solo compositions and accompaniment to vocals (tabla recorded in isolation) released with the following conference paper: M. A. Rohit, A. Bhattacharjee, and P. Rao, “Four-way Classification of Tabla Strokes with Models Adapted from Automatic Drum Transcription”, in Proc. of the 22nd Int. Society for Music Information Retrieval Conf., Online, 2021. The dataset is split into test and train sets. The test set consists of 10 pieces of only the tabla accompaniment recorded in perfect isolation to prerecorded solo Hindustani vocal tracks. It contains 20 minutes of audio and nearly 4,500 strokes. These recordings, made on 3 unique tabla sets by 2 different artists, are diverse in terms of tuning, tala (metre), and tempo. The training set consists of solo compositions and common theka patterns recorded from 10 different tabla-sets. The total audio duration is about 1.25 hours and there are 26,600 strokes. The test set was annotated by first running an automatic onset detector to obtain stroke onsets, followed by manually assigning the four-way labels by listening to the audio and visually inspecting the spectrogram. The training set was annotated by automatically aligning the composition score (supplied by artists) with the audios, and replacing the bols with corresponding target stroke categories. Given the imperfect score-stroke matching, labels were manually verified to assign the same category to similar sounding bols. Onsets are separated into folders for each stroke category. Each '.onsets' file in these folders corresponds to an audio ('.wav') file of the same name and is a text file containing a list of time instants where an onset of a particular stroke category occurs.

opencc-by-4.0Jun 2024View details →

Effects of personalized music listening on post-stroke cognitive impairment: A randomized controlled trial

Background and purpose: Previous studies have suggested that music listening has the potential to positively affect mood and cognitive functions in individuals with <a name="_Hlk140153246"></a>post-stroke cognitive impairment (PSCI), with a preference for self-selected music likely to yield better outcomes. However, there is insufficient clinical evidence to suggest the use of music listening in routine rehabilitation care to treat PSCI. This randomized control trial (RCT) aims to investigate the effects of personalized music listening on mood improvement, <a name="_Hlk140153263"></a>activities of daily living (ADLs), and cognitive functions in individuals with PSCI. Materials and methods: A total of 34 patients with PSCI were randomly assigned to either the music group or the control group. Patients in the music group underwent a three-month personalized music-listening intervention. The intervention involved listening to a personalized playlist tailored to each individual's cultural, ethnic, and social background, life experiences, and personal music preferences. In contrast, the control group patients listened to white noise as a placebo. Cognitive function, neurological function, mood, and ADLs were assessed. Results: After three months of treatment, the music group showed significantly higher <a name="_Hlk140153278"></a>Montreal Cognitive Assessment (MoCA) scores compared to the control group (p=0.027), particularly in the domains of delayed memory (p=0.019) and orientation (p=0.023). Moreover, the music group demonstrated significantly better scores in <a name="_Hlk140153297"></a>National Institute of Health Stroke Scale (NIHSS) (p=0.008), <a name="_Hlk140153304"></a>Barthel Index (BI) (p=0.019), and <a name="_Hlk140153315"></a>Zarit Caregiver Burden Interview (ZBI) (p=0.008) compared to the control group. No effects were found on mood as measured by the Hamilton Rating Scale for Anxiety (HAMA) and the Hamilton depression scale (HAMD).

opencc-by-4.0Aug 2021View details →

Dataset related to article "ANTIHYPERTENSIVE DRUGS FOR SECONDARY PREVENTION AFTER ISCHEMIC STROKE OR TRANSIENT ISCHEMIC ATTACK"

we performed a systematic review and meta-analysis in order to summarize the current evidence on blood pressure (BP)-lowering drugs for secondary prevention in patients with ischemic stroke or transient ischemic attack. We searched MEDLINE, EMBASE, and the Cochrane Central Register of Controlled Trials up to January 31, 2020. We included randomized controlled trials comparing any specific BP-lowering drug, as monotherapy or combination, with either a control or another BP-lowering drug. Eight studies that enrolled 33 774 patients with ischemic stroke or transient ischemic attack were included in the meta-analysis. Primary outcomes were all-cause mortality and the proportion of patients who developed a stroke following BP-lowering drug use, irrespective of its nature (ischemic or hemorrhagic) and severity. Secondary outcomes included the proportion of patients who developed an ischemic stroke; an ischemic stroke or TIA irrespective of severity; a hemorrhagic stroke, defined as an acute extravasation of blood into and around the brain parenchyma (subdural hematoma and epidural hematoma were excluded); a cardiovascular event defined as any sudden death, fatal or nonfatal acute coronary syndrome, stroke, intracranial hemorrhage, or pulmonary embolism; a fatal cardiovascular event defined as any death due to any vascular cause, including unexplained sudden death; and serious adverse events of hypotension, syncope, injurious falls, electrolyte abnormalities, bradycardia, or acute renal failure. We recorded the outcomes at the longest available follow-up for all analyses. We considered the following potential sources of heterogeneity (effect modifiers): inclusion limited to hypertensive patients (normotensive and hypertensive patients versus hypertensive patients only) or noncardioembolic ischemic strokes (all ischemic strokes versus noncardioembolic ischemic strokes only), time from the index ischemic event to randomization (acute patients treated within the first week versus stabilized patients treated after the first week), and trial risk of bias.

opencc-by-4.0Sep 2021View details →

Data Stroke

Sociodemographic and clinical data of patients with stroke before and after intervention with active tDCS (anodic) or sham.

opencc-zeroDec 2022View details →

Stroke data from: Robust dynamic brain coactivation states estimated in individuals

A confluence of evidence indicates that brain functional connectivity (FC) is not static but rather dynamic. Capturing transient network interactions in the individual brain requires a technology that offers sufficient within-subject reliability. Here, we introduce an individualized network-based dynamics analysis technique and demonstrate that it is reliable in detecting subject-specific brain states during both resting state and a cognitively challenging language task. Moreover, we evaluated the extent to which brain states showed hemispheric asymmetries and how various phenotypic factors such as handedness and gender might influence network dynamics. We discovered a right-lateralized brain state that occurred more frequently in men than in women, and more frequently in right-handed versus left-handed individuals. Lastly, we demonstrated longitudinal brain state changes in 42 patients with subcortical stroke over 6 months. Taken together, this approach could quantify subject-specific dynamic brain states and has potential for use in both basic and clinical neuroscience research.

opencc-by-4.0Nov 2022View details →

Dataset for: Effects of acute ischemic stroke on binaural perception, Dietze et al., Frontiers in Neurosciences, 2022

This dataset contains the MNI-registered lesion masks of patients with strokes at different locations and the psychoacoustic results (tone in noise detection and lateralization) of stroke and control groups. The dataset is described in Dietze A, Sörös P, Bröer M, Methner A, Pöntynen H, Sundermann B, Witt K and Dietz M (2022) Effects of acute ischemic stroke on binaural perception. Front. Neurosci. 16:1022354. doi: 10.3389/fnins.2022.1022354

opencc-by-4.0Jan 2023View details →

G-Code associated to the trajectories of the brush in ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials

This is appendix for the ApPEARS Deliverable: D5.1 – Database of vector based brush strokes and sample prints that demonstrate the range of printed materials. It contains G-Code Paths associated to the trajectories of the brush.

opencc-by-4.0Jan 2023View details →

Images of the data brushes generated for the ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials

These images are appendices of ApPEARS deliverable D5.1 Database of vector based brush strokes and sample prints that demonstrate the range of printed materials. They show the generated data brushes.

opencc-by-4.0Aug 2022View details →

Gene expression in monocytes, neutrophils and whole blood after stroke

Dataset from: Carmona-Mora, P., Knepp, B., Jickling, G.C. et al. Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke. BMC Med 21, 65 (2023). https://doi.org/10.1186/s12916-023-02766-1 All methods available in the publication above. Abstract Background After ischemic stroke (IS), peripheral leukocytes infiltrate the damaged region and modulate the response to injury. Peripheral blood cells display distinctive gene expression signatures post IS and these transcriptional programs reflect changes in immune responses to IS. Dissecting the temporal dynamics of gene expression after IS improves our understanding of immune and clotting responses at the molecular and cellular level that are involved in acute brain injury and may assist with time-targeted, cell-specific therapy. Methods The transcriptomic profiles from peripheral monocytes, neutrophils, and whole blood from 38 ischemic stroke patients and 18 controls were analyzed with RNAseq as a function of time and etiology after stroke. Differential expression analyses were performed at 0-24 h, 24-48 h, and >48 h following stroke. Results Unique patterns of temporal gene expression and pathways were distinguished for monocytes, neutrophils and whole blood with enrichment of interleukin signaling pathways for different timepoints and stroke etiologies. Compared to control subjects, gene expression was generally up-regulated in neutrophils and generally down- regulated in monocytes over all times for cardioembolic, large vessel and small vessel strokes. Self-Organizing Maps identified gene clusters with similar trajectories of gene expression over time for different stroke causes and sample types. Weighted Gene Co- expression Network Analyses identified modules of co-expressed genes that significantly varied with time after stroke and included hub genes of immunoglobulin genes in whole blood. Conclusions Altogether, the identified genes and pathways are critical for understanding how the immune and clotting systems change over time after stroke. This study identifies potential time- and cell-specific biomarkers and treatment targets. clinical_parameters_MON.txt: Clinical parameters from cohort used from monocyte samples. clinical_parameters_NEU.txt: Clinical parameters from cohort used from neutrophil samples. clinical_parameters_WB.txt: Clinical parameters from cohort used from whole blood samples. MON_gene_counts_filtered-WGCNA.txt: Filtered counts of each annotated gene from monocyte samples, cohort used for WGCNA analyses, (TPM normalized, non-log, filtered features where maximum <=40 reads were excluded). NEU_gene_counts_filtered-WGCNA.txt: Filtered counts of each annotated gene from neutrophil samples, cohort used for WGCNA analyses, (TPM normalized, non-log, filtered features where maximum <=40 reads were excluded). WB_gene_counts_filtered-WGCNA.txt: Filtered counts of each annotated gene from whole blood samples, cohort used for WGCNA analyses, (TPM normalized, non-log, filtered features where maximum <=80 reads were excluded). MON_gene_raw_counts.txt: raw counts for cohort used of monocyte samples. NEU_gene_raw_counts.txt: raw counts for cohort used of neutrophil samples. WB_gene_raw_counts.txt: raw counts for cohort used of whole blood samples. MON_Time_Course_filtered_normalized_counts_ready.txt: matrix counts of each annotated gene used for differential expression analyses of time points in monocyte samples. (TPM normalized, filtered features where maximum <=30 reads were excluded). NEU_Time_Course_filtered_normalized_counts_ready.txt: matrix counts of each annotated gene used for differential expression analyses of time points in neutrophil samples. (TPM normalized, filtered features where maximum <=30 reads were excluded). WB_Time_Course_filtered_normalized_counts_ready.txt: matrix counts of each annotated gene used for differential expression analyses of time points in whole blood samples. (TPM normalized, filtered features where maximum <=30 reads were excluded).   All methods to generate the above files are available in the publication: Carmona-Mora, P., Knepp, B., Jickling, G.C. et al. Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke. BMC Med 21, 65 (2023). https://doi.org/10.1186/s12916-023-02766-1

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Dataset related to article "Harmonization of sensorimotor deficit assessment in a registered multicentre pre-clinical randomized controlled trial using two models of ischemic stroke"

https://figshare.com/search?q=10.6084%2Fm9.figshare.21346731

opencc-by-4.0Dec 2022View details →

Predictors of Response in Chronic Stroke

ClinicalTrials.gov study NCT04283253. IPD Sharing: YES. Countries: 1. Publications: 6.

Neurophysiological and Kinematic Predictors of Response in Chronic Stroke

ClinicalTrials.gov study NCT02658630. IPD Sharing: YES. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →

Forearm Rotation Orthosis for Stroke

ClinicalTrials.gov study NCT01987414. IPD Sharing: NO. Countries: 1. Publications: 10.

closedIPD-NOFeb 2026View details →

Targeted High-definition Transcranial Direct Current Stimulation (HD-tDCS) for Reducing Post-stroke Movement Impairments

ClinicalTrials.gov study NCT05174949. IPD Sharing: NO. Countries: 1. Publications: 1.

Study to Assess Impact of Dysport Injections Early After Stroke on Upper Limb Spasticity Progression

ClinicalTrials.gov study NCT02321436. IPD Sharing: YES. Countries: 4. Publications: 1.

Utilizing Gaming Mechanics to Optimize Telerehabilitation Adherence in Persons With Stroke

ClinicalTrials.gov study NCT03985761. IPD Sharing: YES. Countries: 1. Publications: 41.

publicNov 2025View details →

Data from: Different strokes for different croaks: Using an African reed frog species complex as a model to understand idiosyncratic population requirements for conservation management

Open the record for dataset details and reuse information.

publicDec 2022View details →

Stroke data from: Robust dynamic brain coactivation states estimated in individuals

Open the record for dataset details and reuse information.