cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3850698.v1
title: Plant Vs.Grass in per Quadrant in Grassland

description: Purpose:To perform a field training with plants to collect data based on species based on traits, transects, and quadrats. As well as, to compare and contrast the percentage coverage of plants and grasslands in each quadrat.<br>hypothesis:All vegetation within each quadrat has greater total percentage coverage in grassland area compare to grass has smaller total percentage coverageBecause as more plants grew in a specific area then more plants will be seen and less grass will grow in the ground. As each quadrat was randomly placed by the group members, therefore various different amount of plants and grass coverage was observed and obtained the data on the notebook while performing the lab.Prediction:1- If more percentage of plants and woodlots cover rises, therefore, it will slow down the population percentage of total grass cover 2- IF the richness of total number of plants and woodlots cover rises, therefore, it will slow down the population of the total grass cover 3- To differentiate different sample of plant populations and communities with quadrats, transects, and trait sampling method.Method:- Worked in groups and collected 4 data sets.- Collected two data sets in a woodlots and two in grassland.- Counted total number of species that was seen in a each quadrats (total 13 quadrats), counted the number of species, total cover of all vegetation within plots and total cover of grasses.- Counted the number of plants that was within the quadrats.-Used the transect within the grassland to collect this data sets and recorded the distance on the transect you found it- Used transect measuring tape and record the distance from one Adult tree to the next adult tree and measured the diameter of the each tree in the woodlot.- Used transect measuring tapes and recorded the dbh of 10 trees of the same species..estimated extent of canopy coverage and recorded the distance to the nearest sapling of same species <br>Study site: York University grasslands and woodlots on the north side of the keele campus data was collected in between 2:30 to 5:30pm. the landscape contained alot of insects<br>
DOI: 10.6084/m9.figshare.3850701.v1
title: Safety and efficacy of IIb/IIIa inhibitors in combination with highly active oral antiplatelet regimens in acute coronary syndromes: A meta-analysis of pivotal trials

description: The risk and benefit of GP-IIb/IIIa Inhibition (GPI) in combination with recent antiplatelet regimens in acute coronary syndromes (ACS) remain unassessed. The advent of fast-acting highly active oral P2Y<sub>12</sub> inhibitors questions the additional value and risk of their association with GPI. We studied the effect of GPI in combination with prasugrel and ticagrelor, compared to clopidogrel on major bleeding in pivotal randomized controlled trials in the setting of ACS, using a meta-analytic approach. A similar analysis, further including the comparison of a double versus standard dose clopidogrel regimen, was performed for the risk of the primary efficacy endpoint. The combination of GPI and recent P2Y<sub>12</sub> inhibitors was associated with a similar risk of bleeding as compared with GPI and the standard clopidogrel regimen (RR 0.92 [0.74; 1.13]). The benefit of recent regimens, including double dose clopidogrel, in reducing the primary ischemic endpoint (RR 0.86 [0.78; 0.94]) persisted in those treated with GPI. Although GPI use was associated with a consistent increase in the risk of bleeding in both recent (RR 1.27 [1.05–1.55]) and standard regimens (RR 2.01 [1.64–2.47]), the relative magnitude of such an increase was lower in association with prasugrel or ticagrelor as compared with clopidogrel. The risk of bleeding using a combination of GPI and oral antiplatelet regimens is mainly related to the use of GPI and not the oral antiplatelet regimen. Considering the absence of increased risk of bleeding and the persistence of the benefit of recent P2Y<sub>12</sub> regimens in combination with GPI as compared with the standard clopidogrel regimen, the use of such a combination within the guidelines is supported by our findings.
DOI: 10.5281/zenodo.4013789
title: Model parameters trained using the Component Contribution method

description: A Numpy (.npz) file containing all model parameters needed for applying the component contribution method to estimate the standard Gibbs energies of biochemical reactions. This model is identical to the one stored on Quilt with the following parameters: date: May 15, 2020, 8:04 PM hash: fd23b10c939089ffe0409eac32e36f36ab2fa3d3e486f008acde963ffd5a2ad8 author: equilibrator tags: versions 0.3.0
DOI: 10.7910/dvn/v1rjpf/6jjdxb
title: mea20160917_03.txt.gz

description: :unav
DOI: 10.5281/zenodo.4013788
title: Model parameters trained using the Component Contribution method

description: A Numpy (.npz) file containing all model parameters needed for applying the component contribution method to estimate the standard Gibbs energies of biochemical reactions. This model is identical to the one stored on Quilt with the following parameters: date: May 15, 2020, 8:04 PM hash: fd23b10c939089ffe0409eac32e36f36ab2fa3d3e486f008acde963ffd5a2ad8 author: equilibrator tags: versions 0.3.0
DOI: 10.7910/dvn/v1rjpf/jtncr7
title: mea20151207_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/n1ko8u
title: mea20160116_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/i8rrdh
title: mea20160503_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/estu9k
title: mea20160921_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/vqu1k2
title: mea20160508_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/ns6qwr
title: mea20160421_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/o8gcwi
title: mea20151021_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/cmwxbt
title: mea20160319_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/4ggstd
title: mea20160625_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850506.v1
title: Modeling Time-varying Effects with Large-scale Survival Data: An Efficient Quasi-Newton Approach

description: Nonproportional hazards models often arise in biomedical studies, as evidenced by a recent national kidney transplant study. During the follow up, the effects of baseline risk factors, such as patients' commorbidity conditions collected at transplantation, may vary over time. To model such dynamic changes of covariate effects, time-varying survival models have emerged as powerful tools. However, traditional methods of fitting time-varying effects survival model rely on an expansion of the original dataset in a repeated measurement format, which, even with a moderate sample size, leads to an extremely large working dataset. Consequently, the computational burden increases quickly as the sample size grows, and analyses of a large dataset such as our motivating example defy any existing statistical methods and software. We propose a novel application of quasi-Newton iteration method to model time-varying effects in survival analysis. We show that the algorithm converges superlinearly and is computationally efficient for large-scale datasets. We apply the proposed methods, via a stratified procedure, to analyze the national kidney transplant data and study the impact of potential risk factors on post-transplant survival.
DOI: 10.6084/m9.figshare.3850506.v3
title: Modeling Time-Varying Effects With Large-Scale Survival Data: An Efficient Quasi-Newton Approach

description: Nonproportional hazards models often arise in biomedical studies, as evidenced by a recent national kidney transplant study. During the follow-up, the effects of baseline risk factors, such as patients’ comorbidity conditions collected at transplantation, may vary over time. To model such dynamic changes of covariate effects, time-varying survival models have emerged as powerful tools. However, traditional methods of fitting time-varying effects survival model rely on an expansion of the original dataset in a repeated measurement format, which, even with a moderate sample size, leads to an extremely large working dataset. Consequently, the computational burden increases quickly as the sample size grows, and analyses of a large dataset such as our motivating example defy any existing statistical methods and software. We propose a novel application of quasi-Newton iteration method to model time-varying effects in survival analysis. We show that the algorithm converges superlinearly and is computationally efficient for large-scale datasets. We apply the proposed methods, via a stratified procedure, to analyze the national kidney transplant data and study the impact of potential risk factors on post-transplant survival. Supplementary materials for this article are available online.
DOI: 10.7910/dvn/v1rjpf/omdcs6
title: mea20161023_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850389
title: Activation of MTOR in pulmonary epithelium promotes LPS-induced acute lung injury

description: MTOR (mechanistic target of rapamycin [serine/threonine kinase]) plays a crucial role in many major cellular processes including metabolism, proliferation and macroautophagy/autophagy induction, and is also implicated in a growing number of proliferative and metabolic diseases. Both MTOR and autophagy have been suggested to be involved in lung disorders, however, little is known about the role of MTOR and autophagy in pulmonary epithelium in the context of acute lung injury (ALI). In the present study, we observed that lipopolysaccharide (LPS) stimulation induced MTOR phosphorylation and decreased the expression of MAP1LC3B/LC3B (microtubule-associated protein 1 light chain 3 β)-II, a hallmark of autophagy, in mouse lung epithelium and in human bronchial epithelial (HBE) cells. The activation of MTOR in HBE cells was mediated by TLR4 (toll-like receptor 4) signaling. Genetic knockdown of <i>MTOR</i> or overexpression of autophagy-related proteins significantly attenuated, whereas inhibition of autophagy further augmented, LPS-induced expression of IL6 (interleukin 6) and IL8, through NFKB signaling in HBE cells. Mice with specific knockdown of <i>Mtor</i> in bronchial or alveolar epithelial cells exhibited significantly attenuated airway inflammation, barrier disruption, and lung edema, and displayed prolonged survival in response to LPS exposure. Taken together, our results demonstrate that activation of MTOR in the epithelium promotes LPS-induced ALI, likely through downregulation of autophagy and the subsequent activation of NFKB. Thus, inhibition of MTOR in pulmonary epithelial cells may represent a novel therapeutic strategy for preventing ALI induced by certain bacteria.
DOI: 10.6084/m9.figshare.3850506.v2
title: Modeling Time-Varying Effects With Large-Scale Survival Data: An Efficient Quasi-Newton Approach

description: Nonproportional hazards models often arise in biomedical studies, as evidenced by a recent national kidney transplant study. During the follow-up, the effects of baseline risk factors, such as patients’ comorbidity conditions collected at transplantation, may vary over time. To model such dynamic changes of covariate effects, time-varying survival models have emerged as powerful tools. However, traditional methods of fitting time-varying effects survival model rely on an expansion of the original dataset in a repeated measurement format, which, even with a moderate sample size, leads to an extremely large working dataset. Consequently, the computational burden increases quickly as the sample size grows, and analyses of a large dataset such as our motivating example defy any existing statistical methods and software. We propose a novel application of quasi-Newton iteration method to model time-varying effects in survival analysis. We show that the algorithm converges superlinearly and is computationally efficient for large-scale datasets. We apply the proposed methods, via a stratified procedure, to analyze the national kidney transplant data and study the impact of potential risk factors on post-transplant survival. Supplementary materials for this article are available online.
DOI: 10.7910/dvn/v1rjpf/jhl3fy
title: mea20160525_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850368
title: Genetic predisposition to elevated levels of C-reactive protein is associated with a decreased risk for preeclampsia

description: <i>Objective</i>: To examine the association between genetic predisposition to elevated C-reactive protein (CRP)and risk for preeclampsia using validated genetic loci for C-reactive protein. <i>Methods</i>: Preeclampsia cases (<i>n</i> = 177) and normotensive controls (<i>n</i> = 116) were selected from live birth certificates to nulliparous Iowa women during the period August 2002–May 2005. Disease status was verified by the medical chart review. Genetic predisposition to CRP was estimated by a genetic risk score on the basis of established loci for CRP levels. Logistic regression analyses were used to evaluate the relationships between the genotype score and preeclampsia. Replication analyses were performed in an independent, US population of preeclampsia cases (<i>n</i> = 516) and controls (<i>n</i> = 1,097) of European ancestry. <i>Results</i>: The genetic risk score (GRS) related to higher levels of CRP demonstrated a significantly decreased risk of preeclampsia (OR 0.89, 95% CI 0.82–0.96). When the GRS was analyzed by quartile, an inverse linear trend was observed (<i>p</i> = 0.0006). The results were similar after adjustments for the body mass index (BMI), smoking, and leisure-time physical activity. In the independent replication population, the association with the CRP GRS was also marginally significant (OR 0.97, 95% CI 0.92, 1.02). Meta-analysis of the two studies was statistically significant (OR 0.95, 95% CI 0.90, 0.99). <i>Conclusion</i>: Our data suggest an inverse, counterintuitive association between the genetic predisposition to elevated levels of CRP and a decreased risk of preeclampsia. This suggests that the blood CRP level is a marker of preeclampsia, but it does not appear to be a factor on the causal pathway.
DOI: 10.6084/m9.figshare.3850389.v1
title: Activation of MTOR in pulmonary epithelium promotes LPS-induced acute lung injury

description: MTOR (mechanistic target of rapamycin [serine/threonine kinase]) plays a crucial role in many major cellular processes including metabolism, proliferation and macroautophagy/autophagy induction, and is also implicated in a growing number of proliferative and metabolic diseases. Both MTOR and autophagy have been suggested to be involved in lung disorders, however, little is known about the role of MTOR and autophagy in pulmonary epithelium in the context of acute lung injury (ALI). In the present study, we observed that lipopolysaccharide (LPS) stimulation induced MTOR phosphorylation and decreased the expression of MAP1LC3B/LC3B (microtubule-associated protein 1 light chain 3 β)-II, a hallmark of autophagy, in mouse lung epithelium and in human bronchial epithelial (HBE) cells. The activation of MTOR in HBE cells was mediated by TLR4 (toll-like receptor 4) signaling. Genetic knockdown of <i>MTOR</i> or overexpression of autophagy-related proteins significantly attenuated, whereas inhibition of autophagy further augmented, LPS-induced expression of IL6 (interleukin 6) and IL8, through NFKB signaling in HBE cells. Mice with specific knockdown of <i>Mtor</i> in bronchial or alveolar epithelial cells exhibited significantly attenuated airway inflammation, barrier disruption, and lung edema, and displayed prolonged survival in response to LPS exposure. Taken together, our results demonstrate that activation of MTOR in the epithelium promotes LPS-induced ALI, likely through downregulation of autophagy and the subsequent activation of NFKB. Thus, inhibition of MTOR in pulmonary epithelial cells may represent a novel therapeutic strategy for preventing ALI induced by certain bacteria.
DOI: 10.6084/m9.figshare.3850368.v1
title: Genetic predisposition to elevated levels of C-reactive protein is associated with a decreased risk for preeclampsia

description: <i>Objective</i>: To examine the association between genetic predisposition to elevated C-reactive protein (CRP)and risk for preeclampsia using validated genetic loci for C-reactive protein. <i>Methods</i>: Preeclampsia cases (<i>n</i> = 177) and normotensive controls (<i>n</i> = 116) were selected from live birth certificates to nulliparous Iowa women during the period August 2002–May 2005. Disease status was verified by the medical chart review. Genetic predisposition to CRP was estimated by a genetic risk score on the basis of established loci for CRP levels. Logistic regression analyses were used to evaluate the relationships between the genotype score and preeclampsia. Replication analyses were performed in an independent, US population of preeclampsia cases (<i>n</i> = 516) and controls (<i>n</i> = 1,097) of European ancestry. <i>Results</i>: The genetic risk score (GRS) related to higher levels of CRP demonstrated a significantly decreased risk of preeclampsia (OR 0.89, 95% CI 0.82–0.96). When the GRS was analyzed by quartile, an inverse linear trend was observed (<i>p</i> = 0.0006). The results were similar after adjustments for the body mass index (BMI), smoking, and leisure-time physical activity. In the independent replication population, the association with the CRP GRS was also marginally significant (OR 0.97, 95% CI 0.92, 1.02). Meta-analysis of the two studies was statistically significant (OR 0.95, 95% CI 0.90, 0.99). <i>Conclusion</i>: Our data suggest an inverse, counterintuitive association between the genetic predisposition to elevated levels of CRP and a decreased risk of preeclampsia. This suggests that the blood CRP level is a marker of preeclampsia, but it does not appear to be a factor on the causal pathway.
DOI: 10.7910/dvn/v1rjpf/dt1tdi
title: mea20160704_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850350
title: Self-directed learning during PBL sessions

description: SPSS data flides about student perception regarding SDL during PBL
DOI: 10.6084/m9.figshare.3850350.v1
title: Self-directed learning during PBL sessions

description: SPSS data flides about student perception regarding SDL during PBL
DOI: 10.7910/dvn/v1rjpf/gyoaod
title: mea20160502_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850332
title: Pleasure in using adaptive cruise control: A questionnaire study in The Netherlands

description: <b>Objective</b>: Adaptive cruise control (ACC), a technology that allows for automated car following, is becoming increasingly prevalent. Previous surveys have shown that drivers generally regard ACC as pleasant but that they have to intervene when the ACC reaches its operational limits. The former research has been mostly concerned with specific car brands and does not fully reflect the diversity of ACC types in traffic today. The objective of the present research was to establish the determinants of pleasure in using ACC. <b>Methods</b>: A 55-item online questionnaire was completed by Dutch users of diverse ACC systems. <b>Results</b>: Respondents (<i>N</i> = 182) rated their ACC highly, with a mean score of 8.0 on a scale from 1 (<i>extraordinarily negative</i>) to 10 (<i>extraordinarily positive</i>) and were most pleased with ACC on high-speed roads and in low-density traffic. Moreover, the findings point to specific operational limits such as associated with cut-in situations. Pleasure was greater for the types of ACC that are able to decelerate to a full stop, according to 48% of our sample. An analysis of the free-response items indicated that respondents who were displeased with ACC mentioned its occasional clumsiness and the dangerous situations it may evoke, whereas those who were pleased with ACC valued the complementarity of human and machine and emphasized the roles of responsibility and experience in using ACC. <b>Conclusion</b>: Pleasure in using ACC is a function of both technological advances and human factors.
DOI: 10.6084/m9.figshare.3850329
title: Corrosion of Alloys in Artificial Saliva Containing Microorganisms

description: <br>The data of CoCr and NiCr alloys treated with an artificial saliva solution containing <i>Streptococcus mutans</i> (<i>S. mutans</i>) species by electrochemical methods.
DOI: 10.7910/dvn/v1rjpf/3jdolk
title: mea20150315_03.txt.gz

description: :unav
DOI: 10.7910/dvn/v1rjpf/wv12vm
title: mea20151002_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850332.v1
title: Pleasure in using adaptive cruise control: A questionnaire study in the Netherlands

description: <i>Objective</i>: Adaptive cruise control, a technology that allows for automated car following, is becoming increasingly prevalent. Previous surveys have shown that drivers generally regard ACC as pleasant, but that they have to intervene when the ACC reaches its operational limits. The former research has been mostly concerned with specific car brands, and does not fully reflect the diversity of ACC types in traffic today. The objective of the present research was to establish the determinants of pleasure in using ACC. <i>Methods</i>: A 55-item online questionnaire was completed by Dutch users of diverse ACC systems. <i>Results</i>: Respondents (<i>N</i> = 182) rated their ACC highly, with a mean score of 8.0 on a scale from 1 (extraordinarily negative) to 10 (extraordinarily positive), and were most pleased with ACC on high-speed roads and in low-density traffic. Moreover, the findings point to specific operational limits such as associated with cut-in situations. Pleasure was greater for the types of ACC that are able to decelerate to a full stop, which comprised 48% of our sample. An analysis of the free-response items indicated that respondents who were displeased with ACC mentioned its occasional clumsiness and the dangerous situations it may evoke, whereas those who were pleased with ACC valued the complementarity of human and machine and emphasized the roles of responsibility and experience in using ACC. <i>Conclusion</i>: Pleasure in using ACC is a function of both technological advances and human factors.
DOI: 10.6084/m9.figshare.3850332.v2
title: Pleasure in using adaptive cruise control: A questionnaire study in The Netherlands

description: <b>Objective</b>: Adaptive cruise control (ACC), a technology that allows for automated car following, is becoming increasingly prevalent. Previous surveys have shown that drivers generally regard ACC as pleasant but that they have to intervene when the ACC reaches its operational limits. The former research has been mostly concerned with specific car brands and does not fully reflect the diversity of ACC types in traffic today. The objective of the present research was to establish the determinants of pleasure in using ACC. <b>Methods</b>: A 55-item online questionnaire was completed by Dutch users of diverse ACC systems. <b>Results</b>: Respondents (<i>N</i> = 182) rated their ACC highly, with a mean score of 8.0 on a scale from 1 (<i>extraordinarily negative</i>) to 10 (<i>extraordinarily positive</i>) and were most pleased with ACC on high-speed roads and in low-density traffic. Moreover, the findings point to specific operational limits such as associated with cut-in situations. Pleasure was greater for the types of ACC that are able to decelerate to a full stop, according to 48% of our sample. An analysis of the free-response items indicated that respondents who were displeased with ACC mentioned its occasional clumsiness and the dangerous situations it may evoke, whereas those who were pleased with ACC valued the complementarity of human and machine and emphasized the roles of responsibility and experience in using ACC. <b>Conclusion</b>: Pleasure in using ACC is a function of both technological advances and human factors.
DOI: 10.7910/dvn/v1rjpf/1o3yeg
title: mea20151230_03.txt.gz

description: :unav
DOI: 10.6084/m9.figshare.3850326.v1
title: PD.mdb

description: <br>Potentiodynamic polarization（CoCr and NiCr alloys in the artificial saliva with or without S.mutans）
DOI: 10.7910/dvn/v1rjpf/ft4sev
title: mea20160318_03.txt.gz

description: :unav