Integrative risk assessment method via combining geostatistical analysis, random forest, and receptor models for potentially toxic elements in selenium-rich soil.

Revealing the spatial features and source of associated potentially toxic elements (PTEs) is crucial for the safe use of selenium (Se)-rich soils. An integrative risk assessment (GRRRA) approach based on geostatistical analysis (GA), random forest (RF), and receptor models (RMs) was first established to investigate the spatial distribution, sources, and potential ecological risks (PER) of PTEs in 982 soils from Ziyang City, a typical natural Se-rich area in China. RF combined with multiple RMs supported the source apportionment derived from the RMs and provided accurate results for source identification. Then, quantified source contributions were introduced into the risk assessment. Eighty-three percent of the samples contain Cd at a high PER level in local Se-rich soils. GA based on spatial interpolation and spatial autocorrelation showed that soil PTEs have distinct spatial characteristics, and high values are primarily distributed in this research areas. Absolute principal component score/multiple line regression (APCS/MLR) is more suitable than positive matrix factorization (PMF) for source apportionment in this study. RF combined with RMs more accurately and scientifically extracted four sources of soil PTEs: parent material (48.91%), mining (17.93%), agriculture (8.54%), and atmospheric deposition (24.63%). Monte Carlo simulation (MCS) demonstrates a 47.73% probability of a non-negligible risk (RI > 150) caused by parent material and 3.6% from industrial sources, respectively. Parent material (64.20%, RI = 229.56) and mining (16.49%, RI = 58.96) sources contribute to the highest PER of PTEs. In conclusion, the GRRRA method can comprehensively analyze the distribution and sources of soil PTEs and effectively quantify the source contribution to PER, thus providing the theoretical foundation for the secure utilization of Se-rich soils and environmental management and decision making.

The spatial effect of industrial transfer on carbon emissions under firm location decision:A carbon neutrality perspective.

Climate change is a global concern. The goal of carbon neutrality and emission peak is a challenge for China and other developing countries. The carbon reduction policy for carbon neutrality and industrial transfer policy will be a research hotspot on carbon emissions. This study analyzed the spatial impact mechanism of industrial transfer on carbon emissions, especially the role of firm location decision and carbon reduction policy. Based on the dynamic deviation-share model, the industrial transfer products of 30 provinces in China during the "Twelfth Five-Year Plan" and "Thirteenth Five-Year Plan" periods were measured. The spatially weighted interaction model based on improved parameters was then utilized to explore the spatial effect of industrial transfer and carbon reduction policy on regional carbon emissions. The results show that the restrictive carbon reduction policy through centrifugal effect lead to the location shift of manufacturing firms. Industrial transfer and carbon emissions are significantly related. The restrictive carbon reduction policy has significant spatial emission reduction effect. The carbon reduction policy and industrial transfer level of different region comprehensively were the key factors affecting China's carbon neutral goal. The findings have implications for optimizing the scheme of carbon emission reduction tasks allocation between regions.

An in vivo and in vitro assessment of the anti-breast cancer activity of crude extract and fractions from Prunella vulgaris L.

Prunella vulgaris L.(P. vulgaris) is a perennial herb belonging to the Labiate family and widely distributed in China, Japan, Korea and Europe. Medical monographs and previous studies have shown that P. vulgaris has significant anti-breast cancer activity, and its use in breast treatment has a long history. However, systematically reports about the material basis and mechanism of P. vulgaris on anti-breast cancer activity are limited. In the present study, we first screened the best active fraction from the crude extract (PVE) and ethanol eluted fractions of P. vulgaris by using MDA-MB-231, MCF-7, 4T1 cell models in vitro and a 4T1-BALB/c transplanted tumour mouse breast cancer model in vivo. Furthermore, the anti-breast cancer mechanism of the best active fraction was investigated. The results demonstrated that PVE and ethanol fractions exhibited anti-breast cancer activity, especially with the 50% ethanol eluted fraction (PV50), which effectively regulated the 4T1 cell cycle, inhibited tumour cell proliferation, and promoted cancer cell apoptosis. In case of in vivo assays, PV50 inhibited tumour growth and lung metastasis, as well as inducing cell apoptosis by promoting damage of nuclear DNA and increasing expression of cleaved caspase-3. In addition, the chemical compositions of PV50 were analyzed by HPLC and UPLC-MS/MS, which were identified as flavonoids, moderately polar triterpenes, and a small amount of phenolic acid. The PV50 could be applied as natural sources against breast cancer in the pharmaceutical industry. These findings provide a basis for understanding the mechanism of the anti-breast cancer activity of P. vulgaris.

Implementation of a clinical nursing pathway for percutaneous coronary intervention: A randomized controlled trial protocol.

BACKGROUND: Acute myocardial infarction is a very common disease in the emergency room. Emergency percutaneous coronary intervention (PCI) is the first choice to open infarct-related artery in time to regain the active blood flow of myocardial tissue. Clinical nursing pathway (CNP), namely clinical project, is an original nursing mode with good quality, outstanding efficiency, and low treatment spending, so it has attracted more and more attention. However, few studies have reported the implementation of a CNP in PCIs. The purpose of the protocol is to assess the impact of CNP on the clinical efficacy of transradial emergency PCI. METHODS: This is a randomized controlled, single center trial which will be implemented from January 2021 to June 2021. Hundred samples diagnosed with acute myocardial infarction will be included in this study. It was authorized via the Ethics Committee of Changshan County People's Hospital (CCPH002348). Patients are assigned to the following groups: control group, given normal routine care; CNP group, treated with CNP plan. The time from door to balloon, hospitalization expenses, length of stay, postoperative complications, patients' satisfaction with treatment are compared and analyzed. All data are collected and analyzed by Social Sciences software version 21.0 (SPSS, Inc., Chicago, IL) program. RESULTS: Differences of clinical outcomes between groups (). CONCLUSION: This original evidence-based nursing model can be used as the foundation for further research. TRIAL REGISTRATION NUMBER: researchregistry6030.

Fast and Low-Cost Surface-Enhanced Raman Scattering (SERS) Method for On-Site Detection of Flumetsulam in Wheat.

The pesticide residues in agri-foods are threatening people's health. This study aims to establish a fast and low-cost surface-enhanced Raman scattering (SERS) method for the on-site detection of flumetsulam in wheat. The two-step modified concentrated gold nanoparticles (AuNPs) acted as the SERS substrate with the aid of NaCl and MgSO4. NaCl is served as the activator to modify AuNPs, while MgSO4 is served as the aggregating agent to form high-density hot spots. The activation and aggregation are two essential collaborative procedures to generate remarkable SERS enhancement and achieve the trace-level detection of flumetsulam. This method exhibits good enhancement effect with an enhancement factor of 106 and wide linear range (5-1000 µg/L). With simple pretreatment, the flumetsulam residue in real wheat samples can be successfully detected with the limit of detection (LOD) down to 0.01 µg/g, which is below the maximum residue limit of flumetsulam in wheat (0.05 µg/g) set in China. The recovery of flumetsulam residue in wheat ranges from 88.3% to 95.6%. These results demonstrate that the proposed SERS method is a powerful technique for the detection of flumetsulam in wheat, which implies the great application potential in the rapid detection of other pesticide residues in various agri-foods.

[Spatial Variability and Distribution Pattern of Soil Organic Matter in a Mollisol Watershed of China].

Spatial variability of soil organic matter and its distribution pattern are the hot issues of soil scientific research. Selecting Haigouhe watershed as the study area, this paper mainly focused on the spatial variability, distribution pattern and its impact factors of SOM in the surface soil by classical statistics, Geo-statistics and "3S" technology. The results showed that: compared with the other black soil areas, the SOM content in Haigouhe watershed was a little lower, there was a spatial autocorrelation, and a moderate variability. Random factors, such as human activities, cultivation measures and so on, had little impact on the spatial variation, while the structural factors had a dominant function, and there was a remarkable spatial anisotropy of SOM. The SOM content reduced gradually from east to west with the familiar changes of height, so the co-kriging interpolation, selecting elevation as the co-variate, was employed to improve the accuracy. The spatial variability of SOM and its distribution pattern in Haigouhe watershed were greatly affected by topography and land use but weakly influenced by traffic, villages and other social factors. The surrounding environment of the samples would increase the uncertainty of spatial variability and interpolation of SOM and it cannot be ignored in future studies. In summary, it was a significant scientific research to analyze the spatial variability, distribution pattern of SOM and its main impact factors in a mollisol hilly watershed of China.

Glycated albumin may be a choice, but not an alternative marker of glycated hemoglobin for glycemic control assessment in diabetic patients undergoing maintenance hemodialysis.

BACKGROUND: It has been suggested that glycated hemoglobin (HbA1c) underestimate the actual glycemic control levels in maintenance hemodialysis (MHD) patients, because of anemia and the using of erythropoietin (EPO); it was recommended that glycated albumin (GA) should be an alternative marker. Therefore, the assessment performances of glycemic control were compared between GA and HbA1c in this research by referring to mean plasma glucose (MPG) in diabetes mellitus (DM) patients undergoing MHD or not. METHODS: MPG was calculated according to the data registered at enrollment and follow-up 2 months later and corresponding HbA1c, albumin (ALB), GA, etc. were measured in 280 cases. A case-control study for comparing GA and HbA1c was done among the groups of MHD patients with DM (n=88) and without DM (NDM; n=90), and non-MHD ones with DM (n=102) using MPG for an actual glycemic control standard. RESULTS: In these 3 groups, only for DM patients' (whether undergoing MHD or not), GA and HbA1c correlated with MPG significantly (P < 0.01). Through linear regression analysis, it could be found that the regression curves of GA almost coincided in MHD and non-MHD patients with DM, because the intercepts (2.418 vs. 2.329) and slopes (0.053 vs. 0.057) were very close to each other. On the contrary, regression curves of HbA1c did not coincide in the two groups, because variance of the slopes (0.036 vs. 0.052) were relatively large. Through comparing receiver operating characteristic (ROC) areas under the curve (AUC), it could be understood that the assessment performances of GA and HbA1c in MHD patients were lower than those in non-MHD ones, and assessment performance of HbA1c in MHD patients was better than GA (P < 0.05). In addition, the effects of Hb and EPO dose on HbA1c, or that of ALB on GA were unobvious in our study. CONCLUSIONS: Actual glycemic control level in MHD patients with DM may be underestimated by HbA1c, and it could be avoided by GA; however, glycemic evaluating performance of HbA1c may be still better than that of GA. Therefore, HbA1c should not be replaced completely although GA can be used as a choice to monitor glycemic level.

Multiscale peak alignment for chromatographic datasets.

Chromatography has been extensively applied in many fields, such as metabolomics and quality control of herbal medicines. Preprocessing, especially peak alignment, is a time-consuming task prior to the extraction of useful information from the datasets by chemometrics and statistics. To accurately and rapidly align shift peaks among one-dimensional chromatograms, multiscale peak alignment (MSPA) is presented in this research. Peaks of each chromatogram were detected based on continuous wavelet transform (CWT) and aligned against a reference chromatogram from large to small scale gradually, and the aligning procedure is accelerated by fast Fourier transform cross correlation. The presented method was compared with two widely used alignment methods on chromatographic dataset, which demonstrates that MSPA can preserve the shapes of peaks and has an excellent speed during alignment. Furthermore, MSPA method is robust and not sensitive to noise and baseline. MSPA was implemented and is available at http://code.google.com/p/mspa.