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1,548 results for “Trajectories”
Data from: Trajectories of motor abnormalities in milder phenotypes of ataxia telangiectasia
Objective: To describe and classify the neurological trajectories in patients with mild neurological forms of ataxia telangiectasia (A-T) from the Dutch A-T cohort, combined with patients reported in the literature. Methods: Clinical, genetic and laboratory data of 14 A-T patients with mild neurological phenotypes from the Dutch cohort were analyzed and combined with corresponding data from the literature. A mild neurological phenotype was defined by a later onset, non-ataxia presenting or dominant feature, or slower progression compared to the classical A-T phenotype. Neurological trajectories were classified based on age of onset, presenting feature and follow-up data. Results: 105 patients were included in the study. Neurological trajectories were categorized into six groups: patients with childhood-onset extrapyramidal features with cerebellar symptoms developing later (group 1; 18 patients), childhood-onset cerebellar symptoms, with extrapyramidal features developing later (group 2; 35 patients), childhood to adolescence-onset dystonia, without cerebellar symptoms (group 3; 23 patients), childhood to adolescence-onset isolated cerebellar symptoms (group 4; 22 patients), childhood to adult-onset prominent muscle weakness (group 5; 2 patients), and patients with adult-onset extrapyramidal features, with anterior horn cell disease arising subsequently (group 6; 5 patients). Conclusions: This systematic study of the different motor abnormalities and their course over time in A-T patients with mild phenotypes, enabled us to recognize six essentially different phenotypic patterns. Awareness of these different trajectories of motor abnormalities in milder forms of A-T will contribute to a reduction of diagnostic delay in this severe multisystem disorder.
Data from: Trajectory energy minimisation for cell growth tracking and genealogy analysis
Cell growth experiments with a microfluidic device produce large-scale time-lapse image data, which contain important information on cell growth and patterns in their genealogy. To extract such information, we propose a scheme to segment and track bacterial cells automatically. In contrast with most published approaches, which often split segmentation and tracking into two independent procedures, we focus on designing an algorithm that describes cell properties evolving between consecutive frames by feeding segmentation and tracking results from one frame to the next one. The cell boundaries are extracted by minimizing the distance regularized level set evolution (DRLSE) model. Each individual cell was identified and tracked by identifying cell septum and membrane as well as developing a trajectory energy minimization function along time-lapse series. Experiments show that by applying this scheme, cell growth and division can be measured automatically. The results show the efficiency of the approach when testing on different datasets while comparing with other existing algorithms. The proposed approach demonstrates great potential for large-scale bacterial cell growth analysis.
Data from: Sustained costs of growth and the trajectory of recovery
1. Large body size is associated with many fitness advantages. Despite this, most species do not grow at their physiological maximum, suggesting costs to rapid growth. There are now many empirical examples of trade-offs with growth. 2. Despite the ubiquity of physiological delays, few studies have evaluated the duration over which growth costs occur. To address this question, we measured swimming ability in growth-manipulated Atlantic silversides (Menidia mendia). Fish were manipulated to grow at their maximum for two weeks and then were put on restricted rations so they grew slowly. We then compared swimming ability with fish that had always grown slowly. 3. Fast-grown fish had significantly poorer swimming ability, and continued to show a prolonged cost of this early period of rapid growth. We found that fish fully recovered normal swimming ability after ~1 month of growing slowly. Most surprisingly, the trajectory of recovery was not monotonic; performance actually decreased before it improved. 4. We conclude with a suggestion to develop a better understanding of the mechanisms linking growth to performance trade-offs. Our results suggest that reduced swimming performance following fast growth is unlikely to be completely explained by bioenergetic constraints. Additionally, there is need for more nuanced life history theory that incorporates prolonged growth costs to increase accuracy of growth rate prediction.
Data from: Stem cell differentiation trajectories in Hydra resolved at single-cell resolution
The adult Hydra polyp continually renews all of its cells using three separate stem cell populations, but the genetic pathways enabling this homeostatic tissue maintenance are not well understood. We sequenced 24,985 Hydra single-cell transcriptomes and identified the molecular signatures of a broad spectrum of cell states, from stem cells to terminally differentiated cells. We constructed differentiation trajectories for each cell lineage and identified gene modules and putative regulators expressed along these trajectories, thus creating a comprehensive molecular map of all developmental lineages in the adult animal. In addition, we built a gene expression map of the Hydra nervous system. Our work constitutes a resource for addressing questions regarding the evolution of metazoan developmental processes and nervous system function.
Trajectory Based Classification of Recovery In Sensorimotor Complete Traumatic Cervical Spinal Cord Injury – Individual Recovery Trajectory Data
<p><b>Objective</b></p> <p>To test the hypothesis that sensorimotor complete traumatic cervical spinal cord injury is a heterogenous clinical entity comprising several subpopulations that follow fundamentally different trajectories of neurological recovery.</p> <p><b>Methods</b></p> <p>We analyzed demographic and injury data from 655 patients who were pooled from four prospective longitudinal multicenter studies. Group based trajectory modeling was applied to model neurological recovery trajectories over the initial 12-months postinjury and to identify predictors of recovery trajectories. Neurological outcomes included: Upper Extremity Motor Score, Total Motor Scores and AIS grade improvement.</p> <p><b>Results </b></p> <p>The analysis identified three distinct trajectories of neurological recovery. These clinical courses included: (1) Marginal recovery trajectory: characterized by minimal or no improvement in motor strength or change in AIS grade status (remained grade A); (2) Moderate recovery trajectory: characterized by low baseline motor scores that improved approximately 13 points; or AIS conversion of one grade point; (3) Good recovery trajectory: characterized by baseline motor scores in the upper quartile that improved to near maximum values within three months of injury. Patients following the moderate or good recovery trajectories were of younger age, had more caudally located injuries, a higher degree of preserved motor and sensory function at baseline examination and exhibited a greater extent of motor and sensory function in the zone of partial preservation.</p> <p><b>Conclusion</b></p> <p>Cervical complete SCI can be classified into one of three distinct subpopulations with fundamentally different trajectories of neurological recovery. This study defines unique clinical phenotypes based on potential for recovery, rather than baseline severity of injury alone. This approach may prove beneficial in clinical prognostication and in the design and interpretation of clinical trials in SCI.</p>
Simulation trajectories from ab-initio molecular dynamics of 4x4x4 super cell of Li3OCl with 4 Li concentrations
<p>Lithium-rich oxychloride antiperovskites are promising solid electrolytes for enabling next-generation batteries. Here, we report a comprehensive study varying Li<sup>+</sup> concentrations in Li<sub>3</sub>OCl using <em>ab-initio</em> molecular dynamics simulations. The simulations accurately capture the complex interactions between Li<sup>+</sup> vacancies (V'<sub>Li</sub>), the dominant mobile species in Li<sub>3</sub>OCl. The V'<sub>Li</sub> polarize and distort the host lattice, inducing additional non-vacancy mediated diffusion mechanisms and correlated diffusion events that reduce the activation energy barrier at concentrations as low as 1.5% V'<sub>Li</sub>. Our analyses of discretized diffusion events Li in both space and time illustrate the critical interplay between correlated dynamics, polarization, and local distortion in promoting ionic conductivity in Li<sub>3</sub>OCl.</p>
Supplementary figures for: Respiratory trajectories in type 2 and 3 Spinal muscular atrophy in the iSMAC cohort study
<p>Objective. To describe the respiratory trajectories and their correlation with motor function in an international paediatric cohort of patients with type 2 and non-ambulant type 3 spinal muscular atrophy (SMA).</p> <p>Methods. Eight-year retrospective observational study of patients in the iSMAc natural history study. We retrieved anthropometrics, forced vital capacity (FVC) absolute, FVC% predicted (FVC%P.), Non-Invasive ventilation (NIV) requirement. Hammersmith functional motor scale (HFMS) and Revised performance of upper limb (RULM) were correlated with respiratory function. We excluded patients in interventional clinical trials and on Nusinersen commercial therapy.</p> <p>Results. There were 437 patients with SMA: 348 type 2, 89 non-ambulant type 3. Mean age at first visit was 6.9(±4.4) and 11.1(±4) years. In SMA type 2 FVC%P declined by 4.2%/year from 5 to 13 years, followed by a slower decline (1.0%/year). In type 3 FVC%P declined by 6.3%/year between 8 and 13 years, followed by a slower decline (0.9%/year). 39% SMA type 2 and 9% type 3 required NIV at median age 5.0(1.8-16.6) and 15.1(13.8-16.3) years. 84% SMA type 2 and 80% type 3 had scoliosis, 54% and 46% required surgery, which did not significantly affect respiratory decline. FVC%P positively correlated with HFMS and RULM in both subtypes.</p> <p>Conclusions. In SMA type 2 and non-ambulant type 3 lung function declines differently, with a common levelling after age 13 years. Lung and motor function correlated in both subtypes. Our data further defines the milder SMA phenotypes and provides novel information to benchmark the long-term efficacy of new treatments for SMA.</p>
Molecular dynamics trajectory files
<p>Molecular dynamics trajectory files</p>
Ctd condensate + P10 Peptide trajectories
<p>Trajectories used as dataset for training <a href="https://github.com/egorys2000/CondensatesDynamicsML">neural network</a> detecting peptides binding events.</p>
Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease (Invitro ArchR Object)
<p>This repo contains invitro ArchR object</p>
Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease (Invivo ArchR Object)
<p>This repo contains invivo ArchR object</p>
trajectory for glycine
<p>simulation of glycine using it is standard formula with opls-aa forcefield.</p>
Cellular and molecular heterogeneities and signatures, and pathological trajectories of fatal COVID-19 lungs defined by spatial single-cell transcriptome analysis
<p>Spatial in-situ data analysis.</p>
Supplementary videos for the paper "Visual analysis of model parameter sensitivities along warm conveyor belt trajectories"
<p>Supplementary videos for the paper "Visual analysis of model parameter sensitivities along warm conveyor belt trajectories using Met.3D (1.6.0-multivar1)" by Christoph Neuhauser, Maicon Hieronymus, Michael Kern, Marc Rautenhaus, Annika Oertel and Rüdiger Westermann.</p>
bubble trajectories dataset
<p>Dataset containing trajectory data from laboratory experiments using bubble tracking.</p>
Iterative Machine Learning for Classification and Discovery of Single-molecule Unfolding Trajectories from Force Spectroscopy Data (Raw Data)
<p>Raw data used for the testing of the FUSION Learning algorithm available at <a href="https://github.com/Nash-Lab/Fusion-Learning">https://github.com/Nash-Lab/Fusion-Learning</a>.</p> <p> </p> <ol> </ol>
Isotropic Benzene and T6 trajectories from LAMMPS simulation
<p>Isotropic Benzene and T6 trajectories from LAMMPS simulation</p>
Changing Developmental Trajectories Through Early Treatment
ClinicalTrials.gov study NCT01985022. IPD Sharing: NO. Countries: 1. Publications: 0.
ARomatherapy for Cognitive Trajectory in Chinese After Percutaneous Coronary Intervention (ARCTIC-PCI)
ClinicalTrials.gov study NCT04103086. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
The Trajectory of Physical Activity Following Pulmonary Rehabilitation
ClinicalTrials.gov study NCT02399254. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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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.