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2,103 results for “Platelets”
Figs. 41–48. Oonops pulcher Templeton, female. 41. Habitus, dorsal view. 42. Same, lateral view. 43. Carapace, dorsal view. 44. Same, lateral view. 45. Carapace platelets, dorsal view. 46. Carapace, anterior view. 47. Cephalothorax, ventral view. 48 in The Goblin Spider Genus Heteroonops (Araneae, Oonopidae), With Notes on Oonops
Figs. 41–48. Oonops pulcher Templeton, female. 41. Habitus, dorsal view. 42. Same, lateral view. 43. Carapace, dorsal view. 44. Same, lateral view. 45. Carapace platelets, dorsal view. 46. Carapace, anterior view. 47. Cephalothorax, ventral view. 48. Serrula, anterior view.
Figs. 1–8. Oonops pulcher Templeton, male. 1. Habitus, dorsal view. 2. Same, lateral view. 3. Carapace, dorsal view. 4. Same, lateral view. 5. Carapace platelets, lateral view. 6. Carapace, anterior view. 7 in The Goblin Spider Genus Heteroonops (Araneae, Oonopidae), With Notes on Oonops
Figs. 1–8. Oonops pulcher Templeton, male. 1. Habitus, dorsal view. 2. Same, lateral view. 3. Carapace, dorsal view. 4. Same, lateral view. 5. Carapace platelets, lateral view. 6. Carapace, anterior view. 7. Clypeus, anterior view (arrows point to depressions bearing pores). 8. Clypeal pore, anterior view.
Shear Induced Diffusion of Platelets revisited
<p>* Dataset and python files (Python3) to reproduce all figures and simulations presented in the manuscript.</p> <ul> <li><em> ANALYSIS of NPFEM DATA:</em> <ol> <li><strong>FILES:</strong> Data_npFEM.zip (separate files of platelets trajectory); analysis_npFEM.py (python code to reproduce the figures presented in the manuscript); module_npFEM.py (python module with functions used in analysis_npFEM.py</li> <li><strong>EXECUTION:</strong> python3 analysis_npFEM.py arg1 arg2 arg3</li> <li><strong>ARGUMENTS:</strong> arg1 (path to the data); arg2 (0 or 1 ; "1" means that the figure is reproduced); arg3 (0 or 1 ; "1" means that the figure is reproduced);</li> <li><strong>EXEMPLE:</strong> To execute the code with the second figure reproduced only; python3 analysis_npFEM.py Data_npFEM/ 0 1</li> <li><strong>REQUIREMENTS: </strong>pandas,<strong> </strong> numpy, scipy, os, powerlaw (<a href="https://doi.org/10.1371/journal.pone.0085777">https://doi.org/10.1371/journal.pone.0085777)</a></li> </ol> </li> </ul> <p> </p> <ul> <li>ANALYSIS of STOCHASTIC MODEL: <ol> <li><strong>FILES:</strong> Data_stochastic_model.zip (contains data from npFEM used in the analysis of the stochastic model); analysis_stochastic_model.py (python code to reproduce the figures presented in the manuscript); module_stochastic_model.py (python module with functions used in analysis_stochastic_model.py</li> <li><strong>EXECUTION:</strong> python3 analysis_npFEM.py arg1 arg2 arg3 arg4 arg5 arg6</li> <li><strong>ARGUMENTS:</strong> arg1 (path to the data); arg2 (0 or 1 ; "1" means that the figure is reproduced); same for arg3, arg4, arg5 and arg6</li> <li><strong>EXEMPLE:</strong> To execute the code with the fourth figure reproduced only; python3 analysis_stochastic_model.py Data_stochastic_model/ 0 0 0 1 0</li> <li><strong>REQUIREMENTS: </strong>numpy, scipy, random, powerlaw (<a href="https://doi.org/10.1371/journal.pone.0085777">https://doi.org/10.1371/journal.pone.0085777)</a></li> </ol> </li> </ul>
Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading)
<p>This video is the third talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 13/09/2022.</p> <p>Measuring platelet function: new strategies for precision medicine to prevent thrombosis - Prof Jon Gibbins (University of Reading).</p> <p>Bio: Jon Gibbins is Professor of Cell Biology within the School of Biological Sciences at the University and is Director of the Institute for Cardiovascular and Metabolic Research. He is a graduate of the University, obtaining a degree in Pathobiology with Chemistry in 1991 and a PhD in Molecular Endocrinology in 1995. Following a period of postdoctoral research at the Oxford University, he returned to Reading in 1998 as a lecturer. Jon has established an internationally leading research group that studies blood clotting, with a particular focus on the development of more effective clinical strategies for the prevention and treatment of heart attacks and strokes, and thrombosis associated with infection. Jon values greatly working in an active, engaging and successful school, in which all aspects of biology are represented, and he champions cross-disciplinary working to approach today’s most challenging and pressing questions in new ways. He believes strongly in widening participation and improving levels of equity, diversity and inclusion across our institution.</p> <p>Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/</p> <p>This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1</p> <p>YouTube Link: https://youtu.be/8vJZ_WO-dvk</p>
◂Fig. 5 Gametogenesis in male and female Veneriserva pygoclava. A–D Semi-thin histological sections of female Veneriserva pygoclava, stained with toluidine blue. A Cross-section of a female Veneriserva. B Close-up of large mature oocytes without discernible nurse cells. C Developing oocytes attached to mesenteries (mes), and oogonia proliferating from the ventral side of the dorsal blood vessel (bv). D Details of vitellogenic oocytes and nurse cells. Arrowheads indicate brownstained yolk platelets and yolk bodies. E Live sperm cells captured in a light micrograph. F–G Cross-sections of male Veneriserva. Note the absence of a gut in the cross-sections. Abbreviations—ac acicula, acr acrosome, bv blood vessel, coe coelomic cavity, mes mesentery, nc nurse cell, nn nurse cell nucleus, nu sperm cell nucleus, Oo oocyte, on oocyte nucleus, sp spermatogonia, vnc ventral nerve cord in Hardly Venus's servant-morphological adaptations of Veneriserva to an endoparasitic lifestyle and its phylogenetic position within Dorvilleidae (Annelida)
◂Fig. 5 Gametogenesis in male and female Veneriserva pygoclava. A–D Semi-thin histological sections of female Veneriserva pygoclava, stained with toluidine blue. A Cross-section of a female Veneriserva. B Close-up of large mature oocytes without discernible nurse cells. C Developing oocytes attached to mesenteries (mes), and oogonia proliferating from the ventral side of the dorsal blood vessel (bv). D Details of vitellogenic oocytes and nurse cells. Arrowheads indicate brownstained yolk platelets and yolk bodies. E Live sperm cells captured in a light micrograph. F–G Cross-sections of male Veneriserva. Note the absence of a gut in the cross-sections. Abbreviations—ac acicula, acr acrosome, bv blood vessel, coe coelomic cavity, mes mesentery, nc nurse cell, nn nurse cell nucleus, nu sperm cell nucleus, Oo oocyte, on oocyte nucleus, sp spermatogonia, vnc ventral nerve cord
The Role of Operating Conditions in the Precipitation of Magnesium Hydroxide Hexagonal Platelets Using NaOH Solutions
<p>Magnesium hydroxide, Mg(OH)<sub>2</sub>, is an inorganic compound extensively employed in several industrial sectors. Nowadays, it is mostly produced from magnesium-rich minerals. Nevertheless, magnesium-rich solutions, such as natural and industrial brines, could prove to be a great treasure. In this work, synthetic magnesium chloride and sodium hydroxide, NaOH, solutions were used to recover Mg(OH)<sub>2</sub> by reactive crystallization. A detailed experimental campaign was conducted aiming at producing grown Mg(OH)<sub>2</sub> hexagonal platelets. Experiments were carried out in a stirred tank crystallizer operated in single- and double-feed configurations. In the single-feed configuration, globular and nano-flakes primary particles were obtained, as always reported in the literature when NaOH is used as a precipitant. However, these products are not complying with flame retardant applications that require large hexagonal Mg(OH)<sub>2</sub> platelets. This work suggests an effective precipitation strategy to favour crystal growth while, at the same time, limiting nucleation mechanism. The double-feed configuration allowed the synthesis of grown Mg(OH)<sub>2</sub> hexagonal platelets. The influence of reactants flow rates, reactants concentrations and reaction temperature was analyzed. SEM pictures were also taken to investigate the morphology of Mg(OH)<sub>2</sub> crystals. The proposed precipitation strategy paves the road to satisfy flame retardant market requirements.</p>
Using Romiplostim to Treat Low Platelet Counts Following Chemotherapy and Autologous Hematopoietic Cell Transplantation in People With Blood Cancer
ClinicalTrials.gov study NCT04478123. IPD Sharing: YES. Countries: 1. Publications: 1.
Use of Autologous Platelet-Rich Plasma to Treat Hypertrophic Burn Scars
ClinicalTrials.gov study NCT03935594. IPD Sharing: NO. Countries: 1. Publications: 5.
Whole Blood Platelet Aggregation in Chronic Kidney Disease Patients on Aspirin Study
ClinicalTrials.gov study NCT01768637. IPD Sharing: YES. Countries: 1. Publications: 2.
Datasets corresponding to "Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates"
<p>Datasets corresponding to "Real-time intelligent classification of COVID-19 and thrombosis via massive image-based analysis of platelet aggregates"</p> <p> </p> <p>Please find below an explanation for the <strong>files </strong>in this repository:</p> <p><br> <br> <strong>DiseaseClassifPaper_Dataset_01.7z, DiseaseClassifPaper_Dataset_02.7z</strong></p> <p>Experimental data. To reproduce the analyses, unzip both files and put the content into a folder called "Dataset"</p> <p><strong>02_CNN_PhenotypeClassif.7z</strong></p> <p>CNN Phenotype classification. Model was trained using AIDeveloper. using manually labelled data. Labelled Data is contained in folder "03_GatedData". The AIDeveloper session file in "02_Model\M10_Nitta6l_32pix_8class_meta.xlsx" shows, which files correspond to which subpopulation. The final model "M10_Nitta6l_32pix_8class_448.model" and corresponding .pb files are also located in that folder.</p> <p><strong>03_ExampleMeasurement.zip</strong></p> <p>One measurement file and a corresponding scatterplot</p> <p><strong>04_Dataset_load.zip</strong></p> <p>The python script "03_ExtractFeatures.py" loads the list of available experiment files (01_Dataset_Table_v02.csv). The experiment files are contained in DiseaseClassifPaper_Dataset_01.7z, DiseaseClassifPaper_Dataset_02.7z. The scrip then evaluates each experiment file to obtain distribution parameters for Area and Solidity. These values are written to new "01_Dataset_Table_v03.csv".</p> <p><strong>05_RF_training</strong></p> <p>Scripts to train and evaluate the Random Forest model (using features contained in "01_Dataset_Table_v03.csv").</p> <p><strong>07_pytranskit</strong></p> <p>Scripts for training and evaluating CDT-PLDA classifier</p> <p> </p> <p> </p>
A model for the dissemination of circulating tumour cell clusters involving platelet recruitment and a plastic switch between cooperative and individual behaviours
<p>This folder includes live/dead cell counts as well as transwell assay data for the corresponding manuscript. </p>
neutrophil-lymphocyte ratio and platelet-lymphocyte ratio in early stage breast cancer as predictor of disease free survival
<p>The relationship between neutrophil-lymphocyte ratio (NLR) and outcome probably a complex and multifactorial issues. High neutrophil-lymphocyte ratio (NLR) is reflect the role of systemic inflammation in accelerate angiogenesis, tumor grow-up, and metastasis development.</p> <p><strong>Objective:</strong> The study aimed to estimate the relation between NLR, and PLR with disease free survival (DFS), and assess the values of clinico-pathologic factors on the prognosis.</p> <p><strong>Methods: </strong>Retrospectively we reviewed 1167 files and 102 patients with breast cancer included in Babylon Oncology Center from January 2009 to September 2014, and follow up for at least 36 months.</p> <p><strong>Results: </strong>102 patients, with mean age of 50.4 ± 11.7 years and minimum follow up 40 months, the overall median DFS was 62 months with 5 – years DFS of 52.5%, stage N0 show significant better DFS compared to stage N1 (P value 0.004), also patients with positive hormonal status show significant better DFS compared to negative hormonal status. The isolated local recurrence is 15% while combined local recurrences and distant metastasis is 37%.</p> <p><strong>Conclusion: </strong>NLR is a prognostic marker, and its establish the prediction models warrants further investigation. Increase NLR is strongly associated with poor DFS, and it can be as a predictive and prognostic factor.</p>
Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"
<p><strong>Datasets corresponding to "Direct evaluation of antiplatelet therapy in coronary artery disease by comprehensive image-based profiling of circulating platelets"</strong></p> <p><strong>02_CNN_PhenotypeClassif.7z</strong></p> <p>CNN Phenotype classification. Model was trained using AIDeveloper. using manually labelled data. Labelled Data is contained in folder "03_GatedData". The AIDeveloper session file in "02_Model\M10_Nitta6l_32pix_8class_meta.xlsx" shows, which files correspond to which subpopulation. The final model "M10_Nitta6l_32pix_8class_448.model" and corresponding .pb files are also located in that folder.</p> <p><strong>codeforclassification.zip</strong></p> <p>Code for applying model on unlabelled data. Test data is contained in 'sampledata.zip'</p> <p> </p> <p> </p> <p> </p>
Dataset for article Development of Vancomycin Delivery Systems Based on Autologous 3D Platelet-Rich Fibrin Matrices for Bone Tissue Engineering
<p>This is a dataset related to the article "Development of Vancomycin Delivery Systems Based on Autologous 3D Platelet-Rich Fibrin Matrices for Bone Tissue Engineering". Dubnika, A.; Egle, K.; Skrinda-Melne, M.; Skadins, I.; Rajadas, J.; Salma, I.</p> <p> </p>
microRNAs are abundant and stable in Platelet-rich fibrin and other autologous blood products of canines
<p>Regenerative properties and clinical adaptability of platelet-rich fibrin have been discussed in previous human research, but information about its composition in animals is lacking. It has been reported that microRNAs play an essential role in wound healing and inflammatory process. In this study, we reported the presence of various microRNAs in the platelet-rich fibrin and other autologous blood products of canines, including confirmed stability properties. We believe this research might be a step forward in understanding the regenerative mechanisms and adapting new therapy methods that can be used in humans and animals based on One Health principles. </p>
Proteomics analysis for: The platelet transcriptome and proteome in Alzheimer's disease and aging: an exploratory cross-sectional study
<p>Alzheimer’s disease (AD) and aging are associated with platelet hyperactivity. However, the mechanisms underlying abnormal platelet function in AD and aging are yet poorly understood. To explore the molecular profile of AD and aged platelets, we investigated platelet activation (i.e., CD62P expression), proteome and transcriptome in AD patients, non-demented elderly, and young individuals as controls. AD, aged and young individuals showed similar levels of platelet activation based on CD62P expression. However, AD and aged individuals had a proteomic signature suggestive of increased platelet activation compared with young controls. Transcriptomic profiling suggested the dysregulation proteolytic machinery involved in the regulation of platelet function, particularly in the ubiquitin-proteasome system in AD and autophagy in aging. The functional implication of these transcriptomic alterations remains unclear and requires further investigations. </p>
A INTERVENTIONAL CROSS SECTIONAL STUDY BETWEEN INTRA VAGINAL PLATELET RICH PLASMA AND ESTROGEN FOR TREATMENT OF GENITO-URINARY SYNDROME IN POST MENOPAUSAL WOMEN.
<p>Genitourinary syndrome of menopause (GSM) is a new term for a condition more renowned as atrophic vaginitis. It is used to describe a variety of menopausal symptoms and signs that are related to the physical changes of the vulva, vagina and lower urinary tract. The etiology of GSM is secondary to decreased levels of endogenous estrogens and represents a common but underreported condition. Currently Intra-Vaginal application of oestrogen has been considered an effective treatment of atrophic vaginitis.Recently, PRP has becoming popular as a non-operative treatment option for GSM symptoms.Our study focuses on the use platelet rich plasma for the treatment of GSM as it has natural mechanisms of cell regeneration and requires less frequent dosing and have better compliance when compared to estrogen creams. Purpose of the study is to compare the effectiveness of intra vaginal estrogen cream with intravaginal PRP in treatment of GSM.</p>
Enhanced Firefighter Rehab Trial: The Role of Aspirin in Preventing Heat Stress Induced Platelet Activation
ClinicalTrials.gov study NCT01066923. IPD Sharing: NO. Countries: 1. Publications: 2.
Platelet Activity in Vascular Surgery and Cardiovascular Events
ClinicalTrials.gov study NCT02106429. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Performance-Enhancing Effects of Platelet-Rich Plasma (PRP) Injections
ClinicalTrials.gov study NCT01200875. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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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)
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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.