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39 results for “EFECT”
Parameters for Statistical Evaluation of Time to Fixate Efectiveness for Assessment of Fitness to Drive
<p>This repository contains a table with parameters (including time to fixate - TTF parameter) and an R script for statistical analysis. This is supplementary material for the paper titled "<a href="https://doi.org/10.3758/s13428-023-02177-3">Effectiveness of a Time to Fixate for Fitness to Drive Evaluation in Neurological Patients</a>" and authored by Nadica Miljković and Jaka Sodnik (published in <a href="https://www.springer.com/journal/13428">Behavior Research Methods</a> and previously shared on <a href="https://arxiv.org/ftp/arxiv/papers/2205/2205.08942.pdf">arXiv</a>).</p> <p>TTF parameter was calculated in overall 56 patients during selected scenario with pedestrian collision in a driving simulator produced by <a href="https://www.nervtech.com/">Nervtech</a>. Together with other parameters, ST parameters are stored in <a href="https://zenodo.org/record/7963337/files/tableParametersAll.csv?download=1">tableParametersAll.csv</a>, while R programming code for statistical analysis of all parameters is placed in <a href="https://zenodo.org/record/7963337/files/statisticalAnalysisAll.R?download=1">statisticalAnalysisAll.R</a>.</p> <p><strong>Dataset contents</strong></p> <ol> <li><a href="https://zenodo.org/record/7963337/files/tableParametersAll.csv?download=1">tableParametersAll.csv</a>, table with parameters, csv (comma-separated values) format</li> <li><a href="https://zenodo.org/record/7963337/files/statisticalAnalysisAll.R?download=1">statisticalAnalysisAll.R</a>, code in R programming language for statistical analysis</li> </ol> <p><strong>Table with parameters has the following structure</strong></p> <ol> <li>column - no which is ordinary number in consecutive order from 1 to 56</li> <li>column - id presents an internal patient's id</li> <li>column - ttf presents TTF parameter in ms</li> <li>column - fitness presents a categorical variable and can be either fit-, unfit-, or conditionally-fit-to-drive (cond fit)</li> <li>column - speed at the collision onset in km/h</li> <li>column - ttc presents time-to-collision in s</li> <li>column - manual_correction is categorical variable: 0 means that no manual correction was required for ST calculation, while 1 means that manual correction was required</li> <li>column - igd presents initial gaze distance in pixels</li> <li>column - R1 presents the first measurement of perception response time (PRT)</li> <li>column - R2 presents the second measurement of PRT</li> <li>column - R3 presents the third measurement of PRT</li> </ol> <p>Missing data are presented with NA (Not Available).</p> <p>NOTE: Python code for ST calculation and sample eye tracker video are available on GitHub repository <a href="https://github.com/NadicaSm/Time-To-Fixate-Calculation-from-the-Eye-Tracker-Videos">https://github.com/NadicaSm/Time-To-Fixate-Calculation-from-the-Eye-Tracker-Videos</a> under GNU GPL license and released on Zenodo with doi (<a href="https://doi.org/10.5281/zenodo.6560419">https://doi.org/10.5281/zenodo.6560419</a>).</p> <p>If you find these parameters and R code useful for your own research and teaching class, please cite the following references:</p> <ol> <li>Miljković, N., & Sodnik, J. (2023). NadicaSm/Time-To-Fixate-Calculation-from-the-Eye-Tracker-Videos: v2. [Software code], Zenodo. <a href="https://doi.org/10.5281/zenodo.6560419">https://doi.org/10.5281/zenodo.6560419</a></li> <li>Miljković, N., & Sodnik, J. (2023). Effectiveness of a time to fixate for fitness to drive evaluation in neurological patients. Behavior Research Methods. <a href="https://doi.org/10.3758/s13428-023-02177-3">https://doi.org/10.3758/s13428-023-02177-3</a></li> <li>Motnikar, L., Stojmenova, K., Štaba, U. Č., Klun, T., Robida, K. R., & Sodnik, J. (2020). Exploring driving characteristics of fit-and unfit-to-drive neurological patients: A driving simulator study. Traffic Injury Prevention, 21(6), 359-364. <a href="https://doi.org/10.1080/15389588.2020.1764547">https://doi.org/10.1080/15389588.2020.1764547</a></li> </ol> <p><strong>Acknowledgements</strong></p> <p>J.S. kindly acknowledges University Rehabilitation Institute Soča employees and the Nervtech team. Authors gratefully appreciate the support from Nenad B. Popović, PhD from University of Belgrade – School of Electrical Engineering for his valuable assistance in design of illustrations and for provided feedback for the initial manuscript structure. Also, both Authors thank Nebojša Jovanović, MSc from University of Belgrade - School of Electrical Engineering for his kind contribution to earlier stages of the project, especially for his work on developing Python code to capture time to fixate parameter. Last but not least, we are very thankful to Damjan Krstajić, founder and director of the Research Centre for Cheminformatics for his precious advices on statistical analysis in a retrospective study and to student Gregor Kovač from Faculty of Electrical Engineering, University of Ljubljana for his diligent work on YOLO application in driving simulation.</p>
Recull d'opinions sobre els efectes del Brexit a Twitter.
<p>En aquest dataset trobarem un recull d’opinions per part d’usuaris de la xarxa social Twitter sobre el Brexit. D’aquesta forma trobar quina relació observa la població entre el Brexit i els esdeveniments del present. En diferents camps hi trobarem tant les opinions com la id i la data del tuit. Els tuits són comentaris trobats com a resultat de la cerca de la paraula “brexit” en el cercador i filtrant els 1000 primers resultats. Les 1000 entrades que tindrem seran les més recents a data d'extracció però com la data de la publicació del tweet sortirà al dataset, sempre es podrà contextualitzar.</p>
Hipo_erectus_efect_starv
<p>Data supporting the scientific findings in manuscript Effect of starvation on survival and biochemical profile of newborn juvenile seahorses Hippocampus erectus (Perry, 1810)"</p>
Dataset of PNT1A and PC-3 cells - efect of FITC phototoxicity, quantitative phase imaging (1/2)
<p>Part of article Feith, M,Vičar, T., Gumulec, J., Raudenská, M. Wingren, AG, Masařík, M., Balvan, J. Quantitative Phase Dynamics of Cancer Cell Populations Affected by Blue Light, <em>Appl. Sci.</em> <strong>2020</strong>, <em>10</em></p> <p>Increased exposition to blue light may induce many changes in cell behavior and significantly affect the critical characteristics of cells. Here we show that multimodal holographic microscopy (MHM) within advanced image analysis is capable of correctly distinguishing between changes in cell motility, cell dry mass, cell density, and cell death induced by blue light. We focused on the effect of blue light with a wavelength of 485 nm on morphological and dynamical parameters of four cell lines, malignant PC-3, A2780, G361 cell lines, and the benign PNT1A cell line. We used MHM with blue light doses 24 mJ/cm<sup>2</sup>, 208 mJ/cm<sup>2 </sup>and two kinds of expositions (500 and 1000 ms) to acquire real-time quantitative phase information about cellular parameters. It has been shown that specific doses of the blue light significantly influence cell motility, cell dry mass and cell density. These changes were often specific for the malignant status of tested cells. Blue light dose 208 mJ/cm<sup>2 </sup>× 1000 ms affected malignant cell motility but did not change the motility of benign cell line PNT1A. This light dose also significantly decreased proliferation activity in all tested cell lines but was not so deleterious for benign cell line PNT1A as for malignant cells. Light dose 208 mJ/cm<sup>2 </sup>× 1000 ms oppositely affected cell mass in A2780 and PC-3 cells and induced different types of cell death in A2780 and G361 cell lines. Cells obtained the least damage on lower doses of light with shorter time of exposition.</p> <p><strong>Materials and Methods </strong></p> <p><em>Cell Lines</em></p> <p>The PC-3, A2780, PNT1A, and G361 cell lines were purchased from HPA Culture Collections (Salisbury, UK). PC-3 prostate cancer cell line was derived from bone metastasis of a 4-grade prostatic adenocarcinoma of a 62-year-old Caucasian male The A2780 cell line was derived from the ovarian carcinoma of a nontreated patient according to ECACC. PNT1A cell line was established from prostatic epithelial tissue of healthy 35-years old male and immortalized by plasmid transfection containing the SV40 genome with defective replication origin. The G361 cell line was established from a malignant melanoma of a 31-year-old male Caucasian. The G361 cells produce melanin for up to 50 population doublings. As the aim of this study is to compare the effect of blue light on the cell lines differing by morphology, transformation state, sensitivity to cell death, and origin, we decided to use the cell lines listed above. PC-3 cells are larger in comparison with small A2780 cells. Benign PNT1A cell line differs from malignant PC-3, and all four cell lines are derived from diverse tissues of origin. Furthermore, melanoma G361 cells expressing melanin may differ in the reaction of cells to blue light exposure.</p> <p></p> <p><em>Cell Cultivation</em></p> <p>All four cell lines were cultivated in 25 cm<sup>2</sup> flasks with 5 ml of media at 37 °C in a humidified incubator (60%) with 5% CO<sub>2 </sub>(Sanyo, Osaka City, Japan). Cell lines A2780, PNT1A and G361 were cultured in RPMI-1640 medium with phenol red indicator, L–glutamine, FBS and antibiotics penicillin/streptomycin (Sigma Aldrich Co., St. Louise, MO, USA). For the PC-3 cell line cultivation, Ham´s F-12 medium with FBS and antibiotics (Sigma Aldrich Co., St. Louis, MO, USA) was used. The same supplementation with antibiotics (penicillin 100 U/mL and streptomycin 0.1 mg/mL) and 10% FBS was used in both media. The cell medium was changed two times per week. Cell subculturing was done with 10% of trypsin solution (PAA, Pasching, Austria) with previous washing with EDTA (0.02% in PBS buffer).</p> <p><em>QPI and Holographic Microscopy and Fluorescence Setting</em></p> <p>QPI was performed by using a Q-PHASE multimodal holographic microscope (Telight, Brno, CZ). The Q-PHASE is equipped with fluorescence module using a halogen lamp as a non-coherent source of blue light. In this work, the module was used as a source of blue light for treatment of observed cell lines. The 485 nm light waves are emitted by the fluorescence light source of the attached module. Before the imaging experiment, cells were cultivated overnight in a concentration of 7000 cells/mL in flow chamber µ-Slide I Lauer Family (Ibidi, Martinsried, Germany). During the measurements, the chamber with cells was incubated in 37 °C humidified, 5% CO<sub>2</sub> atmosphere in H201–for Mad City Labs Z100/Z500 piezo Z-stages (Okolab, Ottaviano NA, Italy). Images and holograms were captured with lens Nikon Plan 10/0.3 and CCD camera (XIMEA MR4021 MC-VELETA, Münster, Germany) respectively. The fluorescence mode used was a plasma light source (Sutter Instrument Lambda XL Novato, CA, USA). Cells were irradiated with a 485 nm light with a 25 nm bandwidth. Light doses 0 mJ/cm<sup>2</sup>, 24 mJ/cm<sup>2</sup> and 208 mJ/cm<sup>2 </sup>were achieved by the combination of time exposition and light intensity.</p> <p>The images were acquired automatically from seven positions every 3 min for 24 h. Holographic images were collected by custom software and raw data were numerically reconstructed. The numerical reconstruction was performed by custom software where the established methods of the fast Fourier-transform and phase unwrapping are implemented. The output from the software is an unwrapped phase image. This image has high intrinsic contrast and can be processed by an available image processing software. The unwrapped phase image is integrated phase shift through the cell and it is proportional to integrated cell dry mass density.</p> <p></p>
Recull d'opinions a Twitter sobre els efectes del Brexit
<p><strong>En aquest dataset trobarem un recull d’opinions per part d’usuaris de la xarxa social Twitter sobre el Brexit. Així podem observar quina relació troba la població entre el Brexit i els esdeveniments del present. És un dataset senzill però que dóna molta informació de cada un dels tweets extrets. En total trobarem 1000 entrades (les més recents a data d'extracció) però la data d'extracció sortirà al dataset de manera que sempre es podrà contextualitzar.</strong></p>
FIGURA 2 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 2. Algunes de les traces per on transcorren les curses analitzades.A: Desarrelament i generació de duplicitat i fragmentació (PC01). B: Trams amb desarrelament i alta pedregositat (PC02). C, D: Diferents tipologies de camins empedrats (PC06). E: Punt de la traça amb encaixament, pèrdua de sòl i descalçament (PC03).F: Tirany sobre carena amb caiguda de blocs i desarrelament (PC04).
FIGURA 1 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 1. Mapa de situació del parc natural de Cap de Creus i localització de les traces de les curses analitzades (en vermell Trail Cap de Creus,en taronja, marxa de resistència),zones sensibles establertes com a zones d'estudi (en groc) i els 11 punts de control analitzats.
FIGURA 9 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 9. Representació de pèrdues o desplaçaments de la pedregositat Representation of losses or displacements of the stoniness.
FIGURA 6. P in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 6. P srdues de blocs per accions de "rimpat associats a la recerca d̍una tra ia se"ura per part del corredor,ue transcorre per un 1ial poc deľnit i susceptible d'erosió (PC04). Losses of bloc&s due to climbin" actions associated 2ith the search for a safe route by the runner 2ho runs alon" a poorly deľned road susceptible to erosion (PC04).
FIGURA 5 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 5. Representació del perľl i la secció obtin"uts abans i despr ts de la cursa als PC Ыё i ЬЬ҂ on apreciem l̍ erosió de la tra ia abans i despr ts del pas de corredors. Representation of the proľle and section obtained before and aAmer the race in PC Ыё and ЬЬ҂ 2here 2e appreciate the erosion of the trac& before and aAmer the passage of runners.
FIGURA 3 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 3. Representació del perľl i la secció obtin"uts abans i despr ts de la cursa als PC ЫЬ i ЫЭ҂ on apreciem l̍ erosió de la tra ia abans i despr ts del pas de corredors. Representation of the proľle and section obtained before and aAmer the race in PC ЫЬ and ЫЭ҂ 2here 2e appreciate the erosion of the trac& before and aAmer the passage of runners.
FIGURA 4 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 4. Representació del perľl i la secció obtin"uts abans i despr ts de la cursa als PC ЫЮ i ЫЯ҂ on apreciem l̍ erosió de la tra ia abans i despr ts del pas de corredors. Representation of the proľle and section obtained before and aAmer the race in PC ЫЮ and ЫЯ҂ 2here 2e appreciate the erosion of the trac& before and aAmer the passage of runners.
FIGURA 2 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 2. Algunes de les traces per on transcorren les curses analitzades.A: Desarrelament i generació de duplicitat i fragmentació (PC01). B: Trams amb desarrelament i alta pedregositat (PC02). C, D: Diferents tipologies de camins empedrats (PC06). E: Punt de la traça amb encaixament, pèrdua de sòl i descalçament (PC03).F: Tirany sobre carena amb caiguda de blocs i desarrelament (PC04). Some tracks along which the analyzed races take place.A: Uprooting and generation of duplication and fragmentation (PC01).B: Sections with uprooting and high rockiness (PC02). C, D: Diȥerent types of pa1ed paths ҢPCЫё)ҁ E: Point of the trace 2ith ľttin"҂ loss of soil and strippin" ҢPCЫЮ)ҁ F: Pull over ridge with falling blocks and uprooting (PC04).
EFECT Modelling Mission 2023 | Input dataset
<p>This upload contains the supplementary data for the EFECT modelling mission 2023.</p> <p> </p>
Markers of Endothelial Function and Exercise CapaciTy in Patients With Left Ventricular Assist Devices (EFECT LVAD)
ClinicalTrials.gov study NCT01233037. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Efectiveness of a Brief Protocol by a Low (6%) Concentration Gel Peroxide Hydrogen of Teeth Bleaching
ClinicalTrials.gov study NCT02603354. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Clinical Efectivity of Two Different Sensor-augmented Pumps With Low Predictive Suspension Function
ClinicalTrials.gov study NCT04741685. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Efect of Quinoa and Flaxseed in Cititoxicity and Glicemic Control in Metabolic Syndrome Patients
ClinicalTrials.gov study NCT03915600. IPD Sharing: NO. Countries: 1. Publications: 12.
FIGURA 8 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 8. Representació de la compactació de sòl. Representation of soil compaction.
FIGURA 7 in Valoració dels efectes erosius de les curses de muntanya i ultra trails en l'àmbit del parc natural de Cap de Creus, Alt Empordà (Girona, Catalunya)
FIGURA 7. Representació dels valors de pèrdues de sòls. Representation of soil loss values.
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