cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13359713.v1
title: Vaccination against hepatitis B virus in hemodialysis patients: trends in dialysis centers of Northern Pakistan

description: <b>Background:</b> Chronic kidney disease (CKD) patients, especially those on hemodialysis, are at increased risk of developing Hepatitis B virus (HBV) infection. Guidelines suggest that all patients with chronic kidney disease CKD should be vaccinated against Hepatitis HBVB, but these guidelines are usually not followed. We conducted this study to know the status of vaccination against HBV in chronic kidney disease patients on regular hemodialysis. <b>Methods: </b>This observational descriptive study was conducted at the Department of Medicine, Sheikh Khalifa Bin Zayed Teaching Hospital, Poonch Medical College Rawalakot , and POF Teaching Hhospital, Wah Medical College Wah Cantt, from March 2019 to July 2019. Patients reporting to the dialysis center of both hospitals on regular dialysis were included in the study. Patient’s information (like HBV vaccination status, age, gender, education, socioeconomic status and duration CKD), were collected on a specially designed form. The statistical analysis of data was done in SPSS for Windows, version 20. <b>Results:</b> A total 149 patients were included in the study, 63.1% were male and 36.9% were female. Out of these 24.2% were uneducated, 33.6% had 1-10 years school education, 38.2% had 10-14 years education, and 4% had more than 14 years education. About 35% patients were from low socioeconomic class, 54% from middle and 11% from higher class. Only 45.6% (n=68) of patients were vaccinated and 54.4% (n=81) were not vaccinated against HBV. Vaccination status was associated with education (p=0.004) and socioeconomic status (p=0.008). <b>Conclusion</b>: The Hepatitis B vaccination status of patients on regular hemodialysis is not satisfactory at the two centers observed. It is associated with education and socioeconomic status of the patient.
DOI: 10.7910/dvn/0ncasg
title: Executive Agreements Database, Statement Regarding Agreement Between The United States and Jordan Regarding the consolidation and Rescheduling Of Certain Debts owed To, Guaranteed By, Or Insured By The United States Government and Its Agencies Signed At Amman August 25, 1997

description: KAV 4992 cover memo
DOI: 10.21258/1625540
title: Inventario forestale nazionale svizzero - Tabella n. 898354
DOI: 10.21258/1581766
title: Inventario forestale nazionale svizzero - Tabella n. 891701
DOI: 10.21258/1537146
title: Inventaire forestier national suisse - Tableau no 891755
DOI: 10.21258/1544071
title: Inventaire forestier national suisse - Tableau no 891930
DOI: 10.21258/1604999
title: Inventario forestale nazionale svizzero - Tabella n. 898185
DOI: 10.21258/1534685
title: Inventaire forestier national suisse - Tableau no 899347
DOI: 10.6084/m9.figshare.12341216
title: Untargeted metabolomics of grapevine apoplastic fluid

description: The metabolome from the apoplastic fluid (APF) of grapevine cultivars 'Trincadeira' and 'Regent' was analysed by Fourier Transform Ion Cyclotron Resonance mass spectrometry (FT-ICR-MS). For the analysis, the extracted APF was diluted 1000-fold in methanol and human leucine enkephalin (Sigma Aldrich) was added for internal online calibration ([M+H]<sup>+</sup> =556.276575 Da or [M-H]<sup>-</sup> = 554.262022 Da). Samples were analysed by direct infusion on a 7-Tesla SolariX XR FT-ICR-MS equipped with the ParaCell (Brüker Daltonics). Spectra were acquired with an accumulation of 200 scans, at positive (ESI<sup>+</sup>) and negative (ESI<sup>-</sup>) electrospray ionization modes, in the mass range of 100 to 1000 <i>m/z</i>. Data Analysis software (Brüker Daltonics) was used to generate the peak lists (<i>m/z</i> and intensity), considering a minimum signal-to-noise ratio of 4. The five replicates were aligned at 1 ppm.<br>
DOI: 10.21258/1584979
title: Inventario forestale nazionale svizzero - Tabella n. 899552
DOI: 10.21258/1554427
title: Inventaire forestier national suisse - Tableau no 899528
DOI: 10.21258/1595622
title: Inventario forestale nazionale svizzero - Tabella n. 893063
DOI: 10.5281/zenodo.4323220
title: RNA Adsorption plot data

description: Data for plots of RNA adsorption simulations, after analysis
DOI: 10.5281/zenodo.4323219
title: RNA Adsorption plot data

description: Data for plots of RNA adsorption simulations, after analysis
DOI: 10.5281/zenodo.4323209
title: Non-invasive estimation of stroke volume during exercise from oxygen in heart failure patients

description: Raw data of the paper: Non-invasive estimation of stroke volume during exercise from oxygen in heart failure patients. Aims In heart failure, oxygen uptake and cardiac output measurements at peak and during exercise are important in defining heart failure severity and prognosis. Several cardiopulmonary exercise test-derived parameters have been proposed to estimate stroke volume during exercise, including the oxygen pulse (oxygen uptake/heart rate). Data comparing measured stroke volume and the oxygen pulse or stroke volume estimates from the oxygen pulse at different stages of exercise in a sizeable population of healthy individuals and heart failure patients are lacking. Methods We analysed 1007 subjects, including 500 healthy and 507 heart failure patients, who underwent cardiopulmonary exercise testing with stroke volume determination by the inert gas rebreathing technique. Stroke volume measurements were made at rest, submaximal (∼50% of exercise) and peak exercise. At each stage of exercise, stroke volume estimates were obtained considering measured haemoglobin at rest, predicted exercise-induced haemoconcentration and peripheral oxygen extraction according to heart failure severity. Results A strong relationship between oxygen pulse and measured stroke volume was observed in healthy and heart failure subjects at submaximal (R<sup>2</sup> =&thinsp;0.6437 and R<sup>2</sup> =&thinsp;0.6723, respectively), and peak exercise (R<sup>2</sup> =&thinsp;0.6614 and R<sup>2</sup> =&thinsp;0.5662) but not at rest. In healthy and heart failure subjects, agreement between estimated and measured stroke volume was observed at submaximal (–3 ± 37 and –11<em> ± </em>72 ml, respectively) and peak exercise (1 ± 31 and 6 ± 29 ml, respectively) but not at rest. Conclusion In heart failure patients, stroke volume estimation and oxygen pulse during exercise represent stroke volume, albeit with a relevant individual data dispersion so that both can be used for population studies but cannot be reliably applied to a single subject. Accordingly, whenever needed stroke volume must be measured directly.
DOI: 10.5281/zenodo.4323208
title: Non-invasive estimation of stroke volume during exercise from oxygen in heart failure patients

description: Raw data of the paper: Non-invasive estimation of stroke volume during exercise from oxygen in heart failure patients. Aims In heart failure, oxygen uptake and cardiac output measurements at peak and during exercise are important in defining heart failure severity and prognosis. Several cardiopulmonary exercise test-derived parameters have been proposed to estimate stroke volume during exercise, including the oxygen pulse (oxygen uptake/heart rate). Data comparing measured stroke volume and the oxygen pulse or stroke volume estimates from the oxygen pulse at different stages of exercise in a sizeable population of healthy individuals and heart failure patients are lacking. Methods We analysed 1007 subjects, including 500 healthy and 507 heart failure patients, who underwent cardiopulmonary exercise testing with stroke volume determination by the inert gas rebreathing technique. Stroke volume measurements were made at rest, submaximal (∼50% of exercise) and peak exercise. At each stage of exercise, stroke volume estimates were obtained considering measured haemoglobin at rest, predicted exercise-induced haemoconcentration and peripheral oxygen extraction according to heart failure severity. Results A strong relationship between oxygen pulse and measured stroke volume was observed in healthy and heart failure subjects at submaximal (R<sup>2</sup> =&thinsp;0.6437 and R<sup>2</sup> =&thinsp;0.6723, respectively), and peak exercise (R<sup>2</sup> =&thinsp;0.6614 and R<sup>2</sup> =&thinsp;0.5662) but not at rest. In healthy and heart failure subjects, agreement between estimated and measured stroke volume was observed at submaximal (–3 ± 37 and –11<em> ± </em>72 ml, respectively) and peak exercise (1 ± 31 and 6 ± 29 ml, respectively) but not at rest. Conclusion In heart failure patients, stroke volume estimation and oxygen pulse during exercise represent stroke volume, albeit with a relevant individual data dispersion so that both can be used for population studies but cannot be reliably applied to a single subject. Accordingly, whenever needed stroke volume must be measured directly.
DOI: 10.21258/1591679
title: Inventario forestale nazionale svizzero - Tabella n. 897116
DOI: 10.6084/m9.figshare.12357314.v1
title: Grapevine untargeted metabolomics to uncover potential biomarkers of fungal/oomycetes-associated diseases

description: The leaf metabolome from eleven field grown <i>Vitis </i>genotypes (5 <i>Vitis </i> species and 6 <i>Vitis vinifera</i>) was analysed by Fourier Transform Ion Cyclotron Resonance mass spectrometry (FT-ICR-MS). For the analysis, samples were diluted 1000-fold in methanol and human leucine enkephalin (Sigma Aldrich) was added for internal calibration of each mass spectrum ([M+H]+ =556.276575 Da or [M-H]- = 554.262022 Da). Samples were analysed by direct infusion on an Apex Qe 7-Tesla FT-ICR-MS (Brüker Daltonics). Spectra were acquired with an accumulation of 250 scans for each spectrum, at both positive (ESI+) and negative (ESI-) electrospray ionization modes, in the mass range of 100 to 1000 Th. Data Analysis 5.0 (Brüker Daltonics, Bremen, Germany) was used to internally calibrate each mass spectrum using leucine enkephalin for single point calibration. Peaks lists (m/z and intensity) were retrieved, considering a minimum signal-to-noise ratio of 4.
DOI: 10.21227/4p1k-ng70
title: Characterization Data for external FPGA memories DDR4 and HBM2 with High Level Synthesis

description: This repository includes the data collected from the aocl profile and the Jupyter notebooks with the memory model equations proposed. Application folder contains a set of benchmarks to validate the proposed model.The model was developed using the Quartus aocl version 18.1 for Stratix10 GX and 19.4 for Stratix10MX
DOI: 10.21258/1602340
title: Inventario forestale nazionale svizzero - Tabella n. 891731
DOI: 10.21227/f06t-tt31
title: Characterization Data for external FPGA memories DDR4 and HBM2 with High Level Synthesis

description: This repository includes the data collected from the aocl profile and the Jupyter notebooks with the memory model equations proposed. Application folder contains a set of benchmarks to validate the proposed model.The model was developed using the Quartus aocl version 18.1 for Stratix10 GX and 19.4 for Stratix10MX
DOI: 10.5517/ccdc.csd.cc1z373f
title: CCDC 1820354: Experimental Crystal Structure Determination

description: Related Article: Shu Wang, Azizah M. Malebari, Thomas F. Greene, Niamh M. O’Boyle, Darren Fayne, Seema M. Nathwani, Brendan Twamley, Thomas McCabe, Niall O. Keely, Daniela M. Zisterer, Mary J. Meegan|2019|Pharmaceuticals|12|56|doi:10.3390/ph12020056
DOI: 10.5517/ccdc.csd.cc1z374g
title: CCDC 1820355: Experimental Crystal Structure Determination

description: Related Article: Shu Wang, Azizah M. Malebari, Thomas F. Greene, Niamh M. O’Boyle, Darren Fayne, Seema M. Nathwani, Brendan Twamley, Thomas McCabe, Niall O. Keely, Daniela M. Zisterer, Mary J. Meegan|2019|Pharmaceuticals|12|56|doi:10.3390/ph12020056
DOI: 10.5517/ccdc.csd.cc1z375h
title: CCDC 1820356: Experimental Crystal Structure Determination

description: Related Article: Shu Wang, Azizah M. Malebari, Thomas F. Greene, Niamh M. O’Boyle, Darren Fayne, Seema M. Nathwani, Brendan Twamley, Thomas McCabe, Niall O. Keely, Daniela M. Zisterer, Mary J. Meegan|2019|Pharmaceuticals|12|56|doi:10.3390/ph12020056
DOI: 10.5517/ccdc.csd.cc1z376j
title: CCDC 1820357: Experimental Crystal Structure Determination

description: Related Article: Shu Wang, Azizah M. Malebari, Thomas F. Greene, Niamh M. O’Boyle, Darren Fayne, Seema M. Nathwani, Brendan Twamley, Thomas McCabe, Niall O. Keely, Daniela M. Zisterer, Mary J. Meegan|2019|Pharmaceuticals|12|56|doi:10.3390/ph12020056
DOI: 10.5517/ccdc.csd.cc1z377k
title: CCDC 1820358: Experimental Crystal Structure Determination

description: Related Article: Shu Wang, Azizah M. Malebari, Thomas F. Greene, Niamh M. O’Boyle, Darren Fayne, Seema M. Nathwani, Brendan Twamley, Thomas McCabe, Niall O. Keely, Daniela M. Zisterer, Mary J. Meegan|2019|Pharmaceuticals|12|56|doi:10.3390/ph12020056
DOI: 10.5517/ccdc.csd.cc1z378l
title: CCDC 1820359: Experimental Crystal Structure Determination

description: Related Article: Shu Wang, Azizah M. Malebari, Thomas F. Greene, Niamh M. O’Boyle, Darren Fayne, Seema M. Nathwani, Brendan Twamley, Thomas McCabe, Niall O. Keely, Daniela M. Zisterer, Mary J. Meegan|2019|Pharmaceuticals|12|56|doi:10.3390/ph12020056
DOI: 10.5517/ccdc.csd.cc20nb9b
title: CCDC 1866581: Experimental Crystal Structure Determination

description: Related Article: M. Fandzloch, L. Dobrzańska, T. Jędrzejewski, J. Jezierska, J. Wiśniewska, I. Łakomska|2019|J.Biol.Inorg.Chem.(JBIC)|25|109|doi:10.1007/s00775-019-01743-5
DOI: 10.5517/ccdc.csd.cc20nbbc
title: CCDC 1866582: Experimental Crystal Structure Determination

description: Related Article: M. Fandzloch, L. Dobrzańska, T. Jędrzejewski, J. Jezierska, J. Wiśniewska, I. Łakomska|2019|J.Biol.Inorg.Chem.(JBIC)|25|109|doi:10.1007/s00775-019-01743-5
DOI: 10.5517/ccdc.csd.cc20nbcd
title: CCDC 1866583: Experimental Crystal Structure Determination

description: Related Article: M. Fandzloch, L. Dobrzańska, T. Jędrzejewski, J. Jezierska, J. Wiśniewska, I. Łakomska|2019|J.Biol.Inorg.Chem.(JBIC)|25|109|doi:10.1007/s00775-019-01743-5
DOI: 10.5517/ccdc.csd.cc20nbdf
title: CCDC 1866584: Experimental Crystal Structure Determination

description: Related Article: M. Fandzloch, L. Dobrzańska, T. Jędrzejewski, J. Jezierska, J. Wiśniewska, I. Łakomska|2019|J.Biol.Inorg.Chem.(JBIC)|25|109|doi:10.1007/s00775-019-01743-5
DOI: 10.5517/ccdc.csd.cc221n4y
title: CCDC 1908209: Experimental Crystal Structure Determination

description: Related Article: Tran Quang Hung, Do Trung Hieu, Dinh Van Tinh, Ha Nam Do, Tuan Anh Nguyen Tien, Dang Van Do, Le Thanh Son, Ngoc Han Tran, Nguyen Van Tuyen, Vu Minh Tan, Peter Ehlers, Tuan Thanh Dang, Peter Langer|2019|Tetrahedron|75|130569|doi:10.1016/j.tet.2019.130569
DOI: 10.5517/ccdc.csd.cc22gmls
title: CCDC 1920685: Experimental Crystal Structure Determination

description: Related Article: Alanna S. Murphy, C. Elizabeth Killalea, Joshua Humphreys, Paul A. Hume, Matthew J. Cliffe, Glen J. Murray, E. Stephen Davies, William Lewis, David B. Amabilino|2019|ChemPlusChem|84|1413|doi:10.1002/cplu.201900286
DOI: 10.5517/ccdc.csd.cc22gmmt
title: CCDC 1920686: Experimental Crystal Structure Determination

description: Related Article: Alanna S. Murphy, C. Elizabeth Killalea, Joshua Humphreys, Paul A. Hume, Matthew J. Cliffe, Glen J. Murray, E. Stephen Davies, William Lewis, David B. Amabilino|2019|ChemPlusChem|84|1413|doi:10.1002/cplu.201900286
DOI: 10.5517/ccdc.csd.cc22gmnv
title: CCDC 1920687: Experimental Crystal Structure Determination

description: Related Article: Alanna S. Murphy, C. Elizabeth Killalea, Joshua Humphreys, Paul A. Hume, Matthew J. Cliffe, Glen J. Murray, E. Stephen Davies, William Lewis, David B. Amabilino|2019|ChemPlusChem|84|1413|doi:10.1002/cplu.201900286
DOI: 10.5517/ccdc.csd.cc23z1rx
title: CCDC 1965299: Experimental Crystal Structure Determination

description: Related Article: Alexander Reckziegel, Clemens Pietzonka, Florian Kraus, C. Gunnar Werncke|2020|Angew.Chem.,Int.Ed.|59|8527|doi:10.1002/anie.201914718
DOI: 10.5517/ccdc.csd.cc23z1qw
title: CCDC 1965298: Experimental Crystal Structure Determination

description: Related Article: Alexander Reckziegel, Clemens Pietzonka, Florian Kraus, C. Gunnar Werncke|2020|Angew.Chem.,Int.Ed.|59|8527|doi:10.1002/anie.201914718
DOI: 10.5517/ccdc.csd.cc24mkv6
title: CCDC 1985018: Experimental Crystal Structure Determination

description: Related Article: Chao-Bin Lin, Ke-Ke Guo, Wen-Xiao Guo, Yi-Han Wang, Kai Wang, Yan Li, Shu-Hua Zhang, Xiu-Qing Zhang, Yi-Quan Zhang, Fu-Pei Liang|2020|Inorg.Chem.|59|16924|doi:10.1021/acs.inorgchem.0c01956
DOI: 10.5517/ccdc.csd.cc24mkw7
title: CCDC 1985019: Experimental Crystal Structure Determination

description: Related Article: Chao-Bin Lin, Ke-Ke Guo, Wen-Xiao Guo, Yi-Han Wang, Kai Wang, Yan Li, Shu-Hua Zhang, Xiu-Qing Zhang, Yi-Quan Zhang, Fu-Pei Liang|2020|Inorg.Chem.|59|16924|doi:10.1021/acs.inorgchem.0c01956
DOI: 10.5517/ccdc.csd.cc24tcv6
title: CCDC 1990598: Experimental Crystal Structure Determination

description: Related Article: Svetlana S. Arabazhi, Mikhail N. Zharkov, Ilya V. Kuchurov, Sergei G. Zlotin|2020|Synthesis|52|3485|doi:10.1055/s-0040-1706762
DOI: 10.5517/ccdc.csd.cc24tcw7
title: CCDC 1990599: Experimental Crystal Structure Determination

description: Related Article: Svetlana S. Arabazhi, Mikhail N. Zharkov, Ilya V. Kuchurov, Sergei G. Zlotin|2020|Synthesis|52|3485|doi:10.1055/s-0040-1706762
DOI: 10.5517/ccdc.csd.cc24mkx8
title: CCDC 1985020: Experimental Crystal Structure Determination

description: Related Article: Chao-Bin Lin, Ke-Ke Guo, Wen-Xiao Guo, Yi-Han Wang, Kai Wang, Yan Li, Shu-Hua Zhang, Xiu-Qing Zhang, Yi-Quan Zhang, Fu-Pei Liang|2020|Inorg.Chem.|59|16924|doi:10.1021/acs.inorgchem.0c01956
DOI: 10.5517/ccdc.csd.cc261bp9
title: CCDC 2027080: Experimental Crystal Structure Determination

description: Related Article: Xiang Wang, Tong Zhang, Yunhui Li, Jiafeng Lin, Huan Li, Xiu-Li Wang|2020|Inorg.Chem.|59|17583|doi:10.1021/acs.inorgchem.0c02798
DOI: 10.5517/ccdc.csd.cc261bqb
title: CCDC 2027081: Experimental Crystal Structure Determination

description: Related Article: Xiang Wang, Tong Zhang, Yunhui Li, Jiafeng Lin, Huan Li, Xiu-Li Wang|2020|Inorg.Chem.|59|17583|doi:10.1021/acs.inorgchem.0c02798
DOI: 10.5517/ccdc.csd.cc25j3xr
title: CCDC 2011494: Experimental Crystal Structure Determination

description: Related Article: Ya-Liang Lai, Xue-Zhi Wang, Xian-Chao Zhou, Rui-Rong Dai, Xiao-Ping Zhou, Dan Li|2020|Inorg.Chem.|59|17374|doi:10.1021/acs.inorgchem.0c02682
DOI: 10.21258/1591919
title: Inventario forestale nazionale svizzero - Tabella n. 892996
DOI: 10.21258/1617977
title: Inventario forestale nazionale svizzero - Tabella n. 891977
DOI: 10.21258/1578355
title: Inventario forestale nazionale svizzero - Tabella n. 893460
DOI: 10.34740/kaggle/dsv/1747178
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.13379939
title: Platelet count can predict the grade of esophageal varices in cirrhotic patients

description: <b>Background: </b>Bleeding from esophageal varices is a life threatening complication in cirrhosis. Screening endoscopy is therefore recommended in cirrhotic patients to identify patients at risk of variceal hemorrhage. Screening endoscopy is however an invasive procedure and has limitations. Various clinical and biochemical predictors have been studied to predict the existence and grade of esophageal varices in cirrhotic patients. Thrombocytopenia (platelet count &lt;150,000 /uL) is one of those. Patients with large esophageal varices were found to have a lower platelet count. We conducted this study to determine correlation between platelet count and grades of esophageal varices in our population.<b></b> <b>Materials and Methods:</b> This cross sectional study was conducted at the Department of Medicine, POF Hospital, Wah Cantt from 1<sup>st</sup> October, 2017 to 30<sup>th</sup> May, 2018. Newly diagnosed cases of cirrhosis having varices of any grade on endoscopy were included in study. Endoscopic findings of patients were standardized by using Paquet grading system. On the basis of platelet count patients were divided into 4 sub groups. All data was entered and analyzed using SPSS version 19.0. Platelet count groups were correlated with grading of esophageal varices by using Spearman rank correlations, p value ≤ 0.05 was considered significant. Chi Square test was used to see association between the platelet count and grade of esophageal varices, p value &lt; or = 0.05 was considered significant. <b>Results: </b>Total 110 patients were included in the study, 55.5% (n=61) were male whereas 44.5% (n=49) were female. Mean Platelet count was 213884.62 /mm<sup>3</sup> in patients with grade I varices, whereas it was 119518.52, 58386.49 and 21600.00 in patients with grade II,III and grade IV varices respectively (p value= <b>Conclusion: </b>Platelet count can predict the grade of esophageal varices in cirrhotic patients. There is significant negative correlation between the platelet count and grades of esophageal varices.<b></b>
DOI: 10.6084/m9.figshare.13379939.v1
title: Platelet count can predict the grade of esophageal varices in cirrhotic patients

description: <b>Background: </b>Bleeding from esophageal varices is a life threatening complication in cirrhosis. Screening endoscopy is therefore recommended in cirrhotic patients to identify patients at risk of variceal hemorrhage. Screening endoscopy is however an invasive procedure and has limitations. Various clinical and biochemical predictors have been studied to predict the existence and grade of esophageal varices in cirrhotic patients. Thrombocytopenia (platelet count &lt;150,000 /uL) is one of those. Patients with large esophageal varices were found to have a lower platelet count. We conducted this study to determine correlation between platelet count and grades of esophageal varices in our population.<b></b> <b>Materials and Methods:</b> This cross sectional study was conducted at the Department of Medicine, POF Hospital, Wah Cantt from 1<sup>st</sup> October, 2017 to 30<sup>th</sup> May, 2018. Newly diagnosed cases of cirrhosis having varices of any grade on endoscopy were included in study. Endoscopic findings of patients were standardized by using Paquet grading system. On the basis of platelet count patients were divided into 4 sub groups. All data was entered and analyzed using SPSS version 19.0. Platelet count groups were correlated with grading of esophageal varices by using Spearman rank correlations, p value ≤ 0.05 was considered significant. Chi Square test was used to see association between the platelet count and grade of esophageal varices, p value &lt; or = 0.05 was considered significant. <b>Results: </b>Total 110 patients were included in the study, 55.5% (n=61) were male whereas 44.5% (n=49) were female. Mean Platelet count was 213884.62 /mm<sup>3</sup> in patients with grade I varices, whereas it was 119518.52, 58386.49 and 21600.00 in patients with grade II,III and grade IV varices respectively (p value= <b>Conclusion: </b>Platelet count can predict the grade of esophageal varices in cirrhotic patients. There is significant negative correlation between the platelet count and grades of esophageal varices.<b></b>
DOI: 10.21258/1604829
title: Inventario forestale nazionale svizzero - Tabella n. 899306
DOI: 10.21258/1621194
title: Inventario forestale nazionale svizzero - Tabella n. 891779
DOI: 10.5281/zenodo.4088447
title: On the impact of release policies on bug handing activity: A case study of Eclipse

description: This repository contains the data used in our paper entitled ["On the impact of release policies on bug handing activity: A case study of Eclipse"] # Structure The repository contains : 1. `raw_data`: a repository containing all the raw data of our study before processing.<br> 2. `data_processing`: a repository containing all the raw data of our study during processing.<br> 3. `data`: a repository containing all the data of our study after all processing steps.<br> 4. `figs`: The generated figures from the notebooks for the paper.<br> 5. The various Jupyter notebooks containing all the scripts used to gather the data and answer each research question.