608 research outputs found
Data file for the paper: Jun Wu, Peng Li, Andres Parra-Puerto, Shuang Wu, Xiaoqian Lin, Denis Kramer, Shengli Chen, Anthony Kucernak, "Controllable heteroatom doping effects of CrxCo2-xP Nanoparticles: A Robust Electrocatalyst for Overall Water Splitting in Alkaline Solutions"
No full textThe data in this spreadsheet was used to produce the figures in the paper
Authors:Jun Wu,Peng Li,Andres Parra-Puerto,Shuang Wu,Xiaoqian Lin,Denis Kramer,Shengli Chen,Anthony Kucernak
Title:Controllable heteroatom doping effects of CrxCo2-xP Nanoparticles: A Robust Electrocatalyst for Overall Water Splitting in Alkaline Solutions
Journal:Acs Applied Materials & Interfaces
DOI: 10.1021/acsami.0c10441
Please cite the above reference if you wish to use this data
DOI of this data:10.5281/zenodo.406785
Dissimilarity for functional data clustering based on smoothing parameter commutation
No full textMany studies measure the same type of information longitudinally on the same subject at multiple time points, and clustering of such functional data has many important applications. We propose a novel and easy method to implement dissimilarity measure for functional data clustering based on smoothing splines and smoothing parameter commutation. This method handles data observed at regular or irregular time points in the same way. We measure the dissimilarity between subjects based on varying curve estimates with pairwise commutation of smoothing parameters. The intuition is that smoothing parameters of smoothing splines reflect the inverse of the signal-to-noise ratios and that when applying an identical smoothing parameter the smoothed curves for two similar subjects are expected to be close. Our method takes into account the estimation uncertainty using smoothing parameter commutation and is not strongly affected by outliers. It can also be used for outlier detection. The effectiveness of our proposal is shown by simulations comparing it to other dissimilarity measures and by a real application to methadone dosage maintenance levels
BFC-POD-ROM Aided Fast Thermal Scheme Determination for China’s Secondary Dong-Lin Crude Pipeline with Oils Batching Transportation
No full textSince the transportation task of China’s Secondary Dong-Lin crude pipeline has been changed from Shengli oil to both Shengli and Oman oils, its transportation scheme had to be changed to “batch transportation”. To determine the details of batch transportation, large amounts of simulations should be performed, but massive simulation times could be costly (they can take hundreds of days with 10 computers) using the finite volume method (FVM). To reduce the intolerable time consumption, the present paper adopts a “body-fitted coordinate-based proper orthogonal decomposition reduced-order model” (BFC-POD-ROM) to obtain faster simulations. Compared with the FVM, the adopted method reduces the time cost of thermal simulations to 2.2 days from 264 days. Subsequently, the details of batch transportation are determined based on these simulations. The Dong-Lin crude oil pipeline has been safely operating for more than two years using the determined scheme. It is found that the field data are well predicted by the POD reduced-order model with an acceptable error in crude oil engineering
Evaluation of change point detection methods for high-dimensional time series
No full textThe main purpose of this study is to understand whether the various high-dimensional time series change\uc2\uadpoint detection methods have different applicable situations.
The evaluation framework is based on comparing the performance of different detection methods in several simulated data. The simulated data are composed of different numbers of change\uc2\uadpoints and different structures in the mean, variance, mean and variance, or autoregressive parameters. We investigated five different change point detection methods (Least Angle Regression (LARS), EAgglo, EDivisive, Sparsified Binary Segmentation (SBS), Double CUSUM Binary Segmentation (DCBS)). The five methods
were tested with the simulated data described above, and four evaluation indices (Distance, Number of mismatch, Covering metric, Rand index) were used as the basis for judgment. We also used real datasets to evaluate whether each method is affected by the size of the scale. This paper integrates the results of the five indices considered for recommendation on the appropriate detection method under different situations
Effect of Physical and Chemical Structure of Shengli Lignite on Its Spontaneous Combustion Tendency
No full textA series of oxidized coal samples were prepared by oxidation of Shengli lignite in air at 140 ℃ and 160 ℃ for different time. The functional groups and pore structure parameters of coal samples were analyzed and tested by Fourier transform infrared spectroscopy and nitrogen adsorption method. The critical ignition temperature of the oxidized coal samples was measured by the basket heat method. The spontaneous combustion kinetic parameters were calculated, and the influence of lignite physical and chemical structure on the critical spontaneous combustion temperature was discussed. The active groups in lignite play a leading role in the process of oxidative spontaneous combustion. The higher the content of alkyl side chain groups and oxygen-containing functional groups, the greater the tendency of spontaneous combustion. The pore structure of coal samples is also a factor that affects the tendency of spontaneous combustion. The larger the specific surface area and pore volume, the more active sites expose, and the more likely spontaneous combustion occurs
Deoxygenation effect on hydrophilicity changes of Shengli lignite during pressurized pyrolysis at low temperature
No full textThe effect of temperature (200~350 °C) and pressure (0.25~8.00 MPa) on the elimination of main oxygen-containing functional groups of Shengli lignite was examined during pyrolysis in a fixed-bed reactor. Effects of the reduction of oxygen-containing functional groups on the moisture holding capacity (MHC) of coal samples were also investigated. The results showed that temperature was the key factor on the removal of carboxyl and phenolic hydroxyl from the lignite. The variation of pressure had few effects on the removal of carboxyl in coal; in contrast, phenolic hydroxyl was reduced to a minimum point at the pressure between 3.00 to 4.00 MPa. The carboxyl content in the lignite played a dominant role on the surface polarity and moisture holding capacity. The influence of specific surface area on the MHC became distinct when the carboxyl content in coal samples kept constant
Research on Numerical Analysis of Landslide Cataclysm Mechanism Coal Mine
No full textThis article according to the ShengLi Open-pit Coal Mine landslide and the slope project special details, used the FLAC numerical calculus analysis software to conduct the research to the landslide cataclysm mechanism, has carried on the optimized analysis to the reinforcement plan.Has obtained the pre-stressed anchor rope frame beam + high pressure splitting grouting reinforcement plan government landslide most superior processing plan through the numerical calculus, thus active control ShengLi Open-pit Coal Mine slope distortion destruction.</jats:p
Distribution, Elimination, and Rearrangement of Cyclic Volatile Methylsiloxanes in Oil-Contaminated Soil of the Shengli Oilfield, China
No full textCyclic methylsiloxane standards (D4, D5, and D6) and linear methylsiloxanes (L3 through L16) were detected with high total concentrations (from 5.20 x 10(4) to 1.07 X 10(6) ng/g dw) in 18 oil sludge samples collected from the Shengli oilfield during 2008-2013. In 306 soil samples from this oilfield, the mean concentrations (43.4-125 ng/g dw) and the detection frequencies (65-76%) of D4 D6 were 10.9-11.9 and 2.05-2.24 times higher than those in reference soil samples, respectively. The concentrations of total cyclic siloxanes (Sigma Cyclic) had positive correlations (R-2 = 0.79, p < 0.05) with the total petroleum hydrocarbons concentration (TPH) in soil, indicating that oil production could release cyclic siloxanes to the environment. During 2008-2013, an increasing tendency (mean of 13.4% per annum) of Sigma Cyclic was found in soil with high TPH (>5000 mg/kg) but was not found in soil with lower TPH. Elimination experiments showed that petroleum hydrocarbons could reduce the degradation and volatilization rates of D4, DS, and D6 in impacted oilfield soil. The half-lives of D4, DS, and D6 in the opened and capped soil systems with TPH = 400-40 000 mg/kg were 1.19-22.2 and 1.03-7.43 times larger than those in common soil (TPH = 80 mg/kg), respectively. Furthermore, the petroleum hydrocarbons could affect the rearrangement-reaction rates of DS and D6 in soil
Predictive Value of Serum Immune-Inflammatory Markers for Adverse Pregnancy Outcomes in Pregnant Women with Thrombophilia: A Retrospective Cohort Study
No full textLin Zheng, Rong Ge, Xiaoying Weng, Liang Lin Medical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, People’s Republic of ChinaCorrespondence: Liang Lin, Director of the Medical Centre of Maternity and Child Health, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fuzhou, Fujian, People’s Republic of China, Tel +86-13799348286, Email [email protected]: Thrombophilia combined with pregnancy poses significant risks for adverse pregnancy outcomes. Unfortunately, there are no indicators at high risk for predicting adverse pregnancy outcomes. This study investigates the predictive efficiency of serum immune-inflammatory markers on adverse pregnancy outcomes.Methods: This retrospective cohort study includes 223 pregnant women diagnosed with thrombophilia who delivered at the Fujian Provincial Hospital South Branch from January 2022 to April 2024. Clinical information and pregnancy outcomes were collected. The systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and lactate dehydrogenase (LDH) were calculated using blood samples. The relationship and predictive accuracy between immune-inflammatory markers and adverse pregnancy outcomes were analyzed.Results: In this study, 50 (22.4%) patients had adverse pregnancy outcomes. Significant differences were observed in neutrophils counts, monocytes counts, LDH, SII, and SIRI levels between the adverse pregnancy outcome groups (APOs) and the control groups (P< 0.05). The area under the receiver operating characteristic (ROC) curve analysis revealed that SII (AUC=0.762), SIRI (AUC=0.764), and LDH (AUC=0.732) had high predictive values for adverse pregnancy outcomes. Notably, the combined model had the highest AUC of 0.805. Multivariate logistic regression identified SII had the highest odd ratio (OR) (OR=8.512; 95% CI(3.068– 23.614)), followed by LDH (OR=4.905; 95% CI (1.167– 11.101)), SIRI (OR=3.549; 95% CI(0.847– 8.669)), and neutrophils count (OR=1.726; 95% CI (0.563– 2.938)) as independent risk factors for adverse outcomes.Conclusion: Elevated levels of immune-inflammatory markers such as SII, SIRI, and LDH level are strong predictors of adverse pregnancy outcomes in thrombophilia-complicated pregnancies. These markers are significantly associated with maternal-neonatal outcomes. Our findings underscore the importance of monitoring immune-inflammatory markers in pregnant women with thrombophilia to improve maternal and neonatal outcomes.Keywords: Thrombophilia, Maternal-neonatal Outcomes, Immune, Inflammator
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