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Frequent spontaneous combustion activities restrict ecological restoration of coal waste dumps after reclamation. Effective monitoring of vegetation restoration is important for ensuring land reclamation success and preserving the ecological environment in mining areas. Development of unmanned aerial vehicle (UAV) technology has enabled fine-scale vegetation monitoring. In this study, we focused on Medicago sativa L. (alfalfa), a representative herbaceous vegetation type, in a coal waste dump after reclamation in Shanxi province, China. The alfalfa aboveground biomass (AGB) was used as an indicator for assessing vegetation restoration. The objective of this study was to evaluate the capacity of UAV-based fusion of RGB, multispectral, and thermal infrared information for estimating alfalfa AGB using various regression models, including random forest regression (RFR), gradient boosting decision tree (GBDT), K-nearest neighbor (KNN), support vector regression (SVR), and stacking models. The main results are as follows: (i) UAV multi-source data fusion improved alfalfa AGB estimation accuracy, although the enhancement diminished with the increasing number of sensor types. (ii) The stacking model consistently outperformed RFR, GBDT, KNN, and SVR regression models across all feature fusion combinations. It achieved high accuracy with R2 of 0.86–0.88, RMSE of 80.06–86.87 g/m2, and MAE of 60.24–62.69 g/m2. Notably, the stacking model based on only RGB imagery features mitigated the accuracy loss from limited types of features, potentially reducing equipment costs. This study demonstrated the potential of UAV in improving vegetation restoration management of coal waste dumps after reclamation. [ABSTRACT FROM AUTHOR]

This scholarly investigation delves into the metamorphosis of China's language policies across three distinct epochs spanning over two millennia, tracing from ancient China to contemporary times. Employing a sociolinguistic lens, the analysis elucidates the historical trajectories of these policies, accentuating their theoretical and pragmatic implications, particularly in the realms of linguistic strategies for ethnic minorities and the overarching national language. The derived conclusions highlight a nuanced amalgamation of subjectivity and diversity within these policies, encompassing both the elevation of Mandarin and the preservation of minority languages. By deciphering historical patterns, this study aspires to furnish insights that could inform prospective orientations in China's linguistic policy formulation, set against the evolving backdrop of global interconnectedness, the Belt and Road Initiative, and the nation's overarching developmental objectives. [ABSTRACT FROM AUTHOR]

Introduction: Thalassemia is the most common monogenic disease in South and Southeast Asia. An accurate assessment of the relative frequency and composition of thalassemia mutations is important for the design of appropriate strategies to prevent the disease. In this study, we aimed to decode the molecular characterization of thalassemia mutations in Zhuhai region of southern China. Methods: A total of 8048 individuals who were potential thalassemia carriers were enrolled. Gap‐polymerase chain reaction (Gap‐PCR) and reverse dot‐blot (RDB) hybridization methods were employed to detect common deletional and non‐deletional thalassemia mutations. Multiplex ligation dependent probe amplification (MLPA) and Sanger sequencing were used to analyze and verify rare and complex mutations. Results: We diagnosed 3433 individuals as thalassemia carriers or patients. Of these, 2395 (69.76%) individuals with α‐thalassemia harbored 13 α‐globin gene mutations. The three most common α‐thalassemia mutations were ‐‐SEA (60.08%), ‐α3.7 (20.62%) and ‐α4.2 (9.25%). We diagnosed 903 (26.30%) individuals with β‐thalassemia and identified 20 β‐globin gene mutations, of which the three most frequent were CD41/42 (‐TCTT) (38.10%), IVS‐II‐654 (C>T) (23.69%) and TATAbox‐28 (A>G) (15.18%). In addition, we identified 15 rare thalassemia variants. We also summarized the association between the thalassemia genotype and hematological parameters, which demonstrated the broad phenotypic heterogeneity caused by globin gene mutations. Conclusion: This is the first survey of thalassemia molecular epidemiology and hematological phenotype in Zhuhai region. It uncovered a high prevalence and complex molecular spectrum of thalassemia. These findings can be used as a basis for thalassemia diagnosis, counseling and prevention management. [ABSTRACT FROM AUTHOR]

Background: Down syndrome (DS), also known as trisomy 21 (T21), is the most common genetic disorder associated with intellectual disability. There are two methods commonly used for prenatal testing of DS: serum screening (SS) for biomarkers in maternal serum and noninvasive prenatal testing (NIPT) for aneuploidy by cell-free DNA (cfDNA) in maternal plasma. However, cost-effectiveness analyses of these two methods are mostly based on data derived from simulations with various models, with theoretical values calculated. In this study, we statistically analyzed clinical DS screening data and pregnancy outcomes during the follow-up of pregnant women in Zhuhai City, China. The economics of the two mainstream prenatal DS screening methods was evaluated from a public health perspective. Methods: A retrospective analysis was performed on the data of 17,363 pregnant women who received SS and NIPT during gestation in Zhuhai from 2018 to 2019, and a cost-effectiveness analysis was performed with four screening strategies. In strategy I, all pregnant women received SS, and those with T21 risk ≥1/270 had invasive prenatal diagnosis (IPD). In strategy II, all pregnant women received SS, those with T21 risk ≥ 1/270 had IPD, and those with 1/270 > T21 risk ≥ 1/1,000 had NIPT; then, women at high risk based on NIPT also had IPD. In strategy III, all pregnant women received SS, and those with T21 risk ≥1,000 had NIPT; then, women at high risk based on NIPT results had IPD. In strategy IV, all pregnant women received NIPT and those at high risk based on NIPT results had IPD. Finally, to assess the cost and effectiveness of DS screening, the total costs were calculated as the sum of screening and diagnosis as well as the direct and indirect economic burden during the average life cycle of DS patients. Results: A total of 22 of the 17,363 (1/789) pregnant women had DS, of which only one woman was over 35 years of age. SS detected 1,024 cases at high risk of T21 (≥1/270), 8 cases were true positive, with a positive predictive value of 0.78% and a detection rate of 36.4%. NIPT detected 27 cases at high risk of T21 (Z ≥ 3) and 22 cases of DS, with a positive predictive value of 81.5% and a detection rate of 100%. Strategy I had the largest total cost of 65.54 million CNY, strategy II and III had similar total costs of 40 million CNY, and strategy IV had the lowest total cost of 14.91 million CNY. By comparison, the screening strategy with NIPT alone had the highest health economic value for DS. Conclusions: SS was greatly affected by nuchal translucency and the accuracy of gestational age measured by ultrasonography. Unstandardized ultrasonography was an important reason for the low DS detection rate with SS. The influence of interfering factors on NIPT was much lower than in SS. NIPT can be used as an alternative to SS and as a primary screening strategy of prenatal DS screening for secondary prevention and control of birth defects. NIPT greatly decreased the frequency of IPD and the miscarriages associated with IPD, saved the limited medical and health resources, and greatly increased DS detection rate. Therefore, NIPT has great social and economic benefits. [ABSTRACT FROM AUTHOR]

Higenamine, a natural product with multiple targets in heart diseases, is originally derived from Aconitum , which has been traditionally used in China for the treatment of heart disease, including heart failure, arrhythmia, bradycardia, cardiac ischemia/reperfusion injury, cardiac fibrosis, etc. This study is aimed to clarify the role of higenamine in heart diseases. Higenamine has effects on improving energy metabolism of cardiomyocytes, anti-cardiac fibroblast activation, anti-oxidative stress and anti-apoptosis. Accumulating evidence from various studies has shown that higenamine exerts a wide range of cardiovascular pharmacological effects in vivo and in vitro , including alleviating heart failure, reducing cardiac ischemia/reperfusion injury, attenuating pathological cardiac fibrosis and dysfunction. In addition, several clinical studies have reported that higenamine could continuously increase the heart rate levels of healthy volunteers as well as patients with heart disease, but there are variable effects on systolic blood pressure and diastolic blood pressure. Moreover, the heart protection and therapeutic effects of higenamine on heart disease are related to regulating LKB1/AMPKα/Sirt1, mediating the β2-AR/PI3K/AKT cascade, induction of heme oxygenase-1, suppressing TGF-β1/Smad signaling, and targeting ASK1/MAPK (ERK, P38)/NF-kB signaling pathway. However, the interventional effects of higenamine on heart disease and its underlying mechanisms based on experimental studies have not yet been systematically reviewed. This paper reviewed the potential pharmacological mechanisms of higenamine on the prevention, treatment, and diagnosis of heart disease and clarified its clinical applications. The literature shows that higenamine may have a potent effect on complex heart diseases, and proves the profound medicinal value of higenamine in heart disease. [ABSTRACT FROM AUTHOR]

Conservation management usually carried out for a period of time to maintain the vegetation restoration of coal waste dumps after reclamation. However, the natural restoration of vegetation is faced with great challenges in semi-arid mining areas without management, due to the fragile ecological environment. Therefore, it is necessary to determine a reasonable management plan so that vegetation restoration can reach a stable state although the abandonment of the management. The objective was to explore the difference of vegetation restoration under different management modes in a typical semi-arid mining area. Two reclaimed coal waste dumps under different management measures, the north waste dump (ND) and the south waste dump (SD), were examined in the ShengLi coalfield in Inner Mongolia, China. The normalized difference vegetation index (NDVI) dataset based on Landsat series imagery was obtained using the Google Earth Engine (GEE) platform, and the landscape metrics were also calculated based on different vegetation coverage. The results proved that 3 years of management was not enough to stabilize vegetation restoration. A serious vegetation degradation occurred at the ND after the management stopped, with 40.1% of the pixels recorded a significant decrease (ρ = 0.05). The vegetation coverage became fragmented, and there was a tendency of succession to lower coverage. On the contrary, the vegetation restoration of SD was better under continuous management, and no significant degradation trend was observed. Furthermore, the results indicated that rainfall is the main influencing factor on vegetation restoration in semi-arid mining areas. The coal waste dump was more susceptible to weather change in natural restoration. By contrast, continuous management measures will resist such climate disturbances, even in dry years. This research will provide support for the formulation of the reclamation management plan of coal waste dumps in semi-arid mining areas. [ABSTRACT FROM AUTHOR]

Background: Intrahepatic cholestasis of pregnancy (ICP) seriously threatens the health of pregnant women and newborns. A various number of Chinese prescriptions and patent medicines combined with ursodeoxycholic acid (UDCA) are used for treating ICP in China. However, there are still many doubts in choosing the suitable therapeutic drugs for the treatment of ICP in clinical practice. Methods: Several electronic databases, including PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), China Biology Medicine disc (CBM), Wanfang, and VIP, were comprehensively searched from the database inception to February 22, 2021. Randomized controlled trials (RCTs) reporting the use of UDCA only, Chinese prescriptions plus UDCA, and patent medicine plus UDCA for the treatment of ICP were collected according to their inclusion and exclusion criteria. Cochrane Reviewers' Handbook version 5.2 was applied for the risk assessment of the included trials. STATA 16.0 software was used for network meta-analysis (NMA). The pruritus score and the serum levels of total bile acid (TBA), alanine aminotransferase (ALT), and aspartate transaminase (AST) in ICP patients served as the primary outcomes. Moreover, this study had been registered in PROSPERO (https://www.crd.york.ac.uk/PROSPERO/#joinuppage), and the registration number is CRD42020188831. Results: Thirty-eight RCTs comprising 3,841 patients meeting the inclusion criteria were included in the network meta-analysis. The NMA results showed that compared with UDCA used alone, Yinchenhao decoction (seven different Chinese prescriptions or patent medicines) plus UDCA dramatically alleviated the primary outcomes of ICP, including the pruritus score, as well as the serum levels of TBA, ALT, and AST. The NMA results showed that the optimal drug ratio for the treatment of ICP was different from the dosage ratio of traditional Yinchenhao decoction. Significantly, the intervention plan f (IP-f) group [the similar prescription of Yinchenhao decoction 2 (Artemisia capillaris Thunb >15 g, Gardenia >9 g, and Rhubarb <5 g) + UDCA] was the best therapeutics among the eight therapies. Conclusion: Overall, the combined use of Chinese prescriptions or patent medicine with UDCA was generally better than UDCA used alone. The dose of IP-f might be a beneficial therapeutic method for the clinical medication of ICP. Clinical Trail Registration: https://www.crd.york.ac.uk/, identifier CRD42020188831. [ABSTRACT FROM AUTHOR]

Underground coal mining leads to land subsidence, and the situation is particularly serious in the Coal-Grain Complex in eastern China, causing the crop production to be reduced or to be taken out. Backfilling with Yellow River sediment is one of the effective methods to solve the land subsidence in this area, but a key issue is how to select the optimal soil reconstruction profile so that the crop yield after backfilling and reclamation is unaffected. The main purpose of this study is to verify the feasibility of selecting the optimal soil reconstruction profile by rapid monitoring of crop growth and judging soil quality with the aid of unmanned aerial vehicle systems (UAVs). A control treatment and 13 experimental treatments were established for the study area. The control treatment consisted of using 30 cm topsoil and 90 cm subsoil and the topsoil is a proxy for native (undisturbed) soil from the study sites. All other treatments consisted of using varying combinations of subsoil and sediment overlain by 30 cm of topsoil. The vegetation indices from the UAV multispectral images, and the plant height and vegetation coverage from the UAV RGB images were used for estimation of the winter wheat biomass in a random forest regression. The results showed that the random forest regression model yielded accurate estimation of the aboveground biomass. Furthermore, knowledge of plant height and vegetation coverage improved the accuracy of prediction such that crop growth was well characterized. The optimal soil profile consisted of 0.3 m topsoil + 0.2 m subsoil + 0.2 m sediment + 0.2 m subsoil + 0.3 m sediment. A fast and effective airborne monitoring method for soil quality was established, thus providing greatly improved monitoring efficiency. [ABSTRACT FROM AUTHOR]

In eastern China, coal mining has damaged a large amount of farmland, posing a great threat to food security. Backfilling with coal waste, fly ash, and sediments from rivers is an effective method to restore farmland. This study was conducted at the reclaimed area (RA) and the undisturbed area (UA) in Shandong Province, China. Soil and plant analyzer development (SPAD) of corn was selected as an indicator of crop growth. Multi-spectral data was obtained by the unmanned aerial vehicle equipped with a camera. By analyzing the correlation between SPAD and spectral bands, the common vegetation index is improved. Different regression methods were used to construct the SPAD inversion model. The distribution of corn SPAD was monitored to objectively evaluate reclamation technology. The results are as follows: (1) the vegetation index improved using the red-edge band has a higher correlation with SPAD, and the largest coefficient of determination (R2) value is 0.779; (2) the optimum inversion model for both jointing stage (R2 = 0.676) and milky stage (R2 = 0.661) is the linear regression model; the optimum model for both tasseling stage (R2 = 0.809) and filling stage (R2 = 0.830) is the partial least squares regression model; (3) the SPAD inversion map of RA and UA obtained by the optimum model shows that the corn grown in RA is slightly better than in UA. This study realized the rapid and efficient monitoring of the reclamation effects based on multi-spectral imagery and verified the feasibility of backfilling reclamation with Yellow River sediment in coal mining subsidence areas. [ABSTRACT FROM AUTHOR]

Underground coal mining inevitably causes land subsidence, while negatively impacting land and ecological environments. This is particularly severe in coal-grain overlap areas (CGOA) in eastern China, which have high groundwater levels. Mining subsidence has substantially altered the original topography, and raised the groundwater level, which threatens grain security in the region. Therefore, it is necessary to determine the damaged farmland area in the CGOA. The traditional method to define the range of coal mining disturbance is usually based on surface subsidence. However, this fails to consider the multidimensional impacts of coal mining on the ecology, which is considered unreasonable. Therefore, this paper introduces a low-cost, fast, and non-destructive method for land damage assessment in a typical CGOA in eastern China, using maize aboveground biomass (AGB) as estimated from an unmanned aerial vehicle (UAV). There were three key results from the survey. (1) underground coal mining caused significant ecological problems in the study area, including subsidence (approximately 6 m) and the degradation of vegetation (maize AGB in a range of 192.73–1338.06 g/m2). In addition, the degradation of maize was affected by subsidence (0.61** Pearson coefficient found between the AGB and surface elevation). (2) An UAV combined with multispectral and digital cameras, allowed precise estimation of the AGB and the red-edge chlorophyII index (CIrededge) combined with the elevation factor had the best explanatory power using the random forest (RF) method (R2 = 0.96, RMSE = 65.03 g/cm2). (3) The maize AGB could be used to assess land damage affected by underground coal mining, which accounted for 82.12% of the study area. The results of the study could provide a reference for land damage assessments in the CGOA, while also providing a guide for land reclamation and agricultural management decisions in the region. [ABSTRACT FROM AUTHOR]

Fuzheng Huayu (FZHY) capsule, a formulated traditional Chinese medicine product with 6 Chinese herbs, is widely used for HBV-related cirrhosis as an adjuvant treatment. However, the efficacy of FZHY capsule for HBV-induced cirrhosis did not be comprehensively proved by systematic analysis. Our current analysis was aimed to assess the efficacy and safety of FZHY capsule by an evidence-based method. Databases, including China National Knowledge Infrastructure, Wangfang, VIP medicine information system, Pubmed, Embase, and Cochrane Library, were searched, and the randomized controlled trials of FZHY capsule were used for the treatment of HBV-associated liver cirrhosis. Meta-analysis was performed by Review Manager 5.3. The efficacy rate, alanine transaminase (ALT), aspartate aminotransferase (AST), total bilirubin (TBIL), albumin (ALB), Procollagen III protein (PIIIP), hyaluronic acid (HA), laminin (LN), Collagen C Type IV (IV-C), Child-Pugh score, portal vein diameter, spleen thickness, HBeAg negative conversion rate, and HBV-DNA negative conversion rate were systematically assessed. The Cochrane Risk of Bias tool was used to evaluate the methodological quality of eligible studies. Nineteen studies with 1,769 patients were included in the meta-analysis. Compared to conventional treatment, FZHY capsule was effective by increasing the efficacy. FZHY capsule was more efficient in improving ALT, AST, TBIL, PIIIP, HA, LN, IV-C, Child-Pugh grading score, portal vein diameter, spleen thickness, and HBV-DNA negative conversion rate with no serious adverse reactions. Nevertheless, a variety of well-designed randomized controlled trials are needed to confirm these findings since small samples were applied in the previous studies. [ABSTRACT FROM AUTHOR]

Cholestasis causes hepatic accumulation of bile acids leading to liver injury, fibrosis and liver failure. Paeoniflorin, the major active compound isolated from the roots of Paeonia lactiflora pall and Paeonia veitchii Lynch, is extensively used for liver diseases treatment in China. However, the mechanism of paeoniflorin's hepatoprotective effect on cholestasis has not been investigated yet. In this study, we administered paeoniflorin to rats for 3 days prior to alpha-naphthylisothiocyanate (ANIT) administration for once, then went on administering paeoniflorin to rats for 3 days. The data demonstrated that paeoniflorin significantly prevented ANIT-induced change in serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphates (ALP), serum total bilirubin (TBIL), direct bilirubin (DBIL), total bile acid (TBA) and gamma-glutamyl transpeptidase (γ-GT). Histology examination revealed that paeoniflorin treatment rats relieved more liver injury and bile duct proliferation than ANIT-administered rats. Moreover, our data indicated that paeoniflorin could restore glutathione (GSH) and its related synthase glutamate-cysteine ligase catalytic subunit (GCLc) and glutamate-cysteine ligase modifier subunit (GCLm) in ANIT-treated group. In addition, the RNA and protein expression of Akt and nuclear factor-E2-related factor-2 (Nrf2) were also activated by paeoniflorin in ANIT-induced rats. These findings indicated that paeoniflorin protected ANIT-induced cholestasis and increased GSH synthesis by activating Nrf2 through PI3K/Akt-dependent pathway. Therefore, paeoniflorin might be a potential therapeutic agent for cholestasis. [ABSTRACT FROM AUTHOR]

Spontaneous combustion of coal waste dumps is a serious threat to the ecological environment and the safety of mining areas. Even after land reclamation and ecological restoration, such spontaneous combustion activities are still active. Achieving early warning of spontaneous combustion is necessary to protect the reclaimed ecosystem and reduce environmental pollution, but it has not yet been well studied. To this end, this study proposed a spatial analysis method to achieve early warning spontaneous combustion of coal waste dump after reclamation by integrating unmanned aerial vehicle (UAV) and vegetation (Medicago sativa/alfalfa) growth status. The experiment was implemented in two slope areas (Areas I and II) of a coal waste dump after reclamation in Shanxi province, China, which were under threat of spontaneous combustion. Three alfalfa growth parameters, aboveground biomass (AGB), plant water content (PWC), and plant height (PH) of the study area, were estimated from UAV imagery features and used to assess the spontaneous combustion risk. Then, soil deep temperature points (25 cm depth) distributed evenly in the study area were collected to determine the underground temperature situation. It was found that the UAV-derived rededge Chlorophyll index (CIrededge), canopy temperature depression (CTD), and canopy height model (CHM) achieved a better estimation of alfalfa AGB (R2 = 0.81, RMSE = 99.2 g/m2, and MAE = 74.9 g/m2), PWC (R2 = 0.68, RMSE = 3.9%, and MAE = 3.2%), and PH (R2 = 0.77, RMSE = 9.79 cm, and MAE = 7.68 cm) of the study area, respectively. We also observed that three alfalfa parameters were highly correlated with the soil deep temperature, but differed in degree (R2 = 0.46–0.81). Furthermore, they were consistent with the soil deep temperature in spatial distribution and could reveal the change direction of underground temperature, which will help us to detect those potential spontaneous combustion areas. These results indicated that vegetation is a prior indicator to the changes in underground temperature of coal waste dump. We believed that UAV can be an effective environmental management tool for the initial assessment of spontaneous combustion risk of coal waste dump after reclamation. • A UAV remote sensing approach to assess the spontaneous combustion risk of coal waste dump after reclamation. • Spontaneous combustion process caused damage and degradation to vegetation. • Vegetation growth parameters can be used to assess the severity and change direction of spontaneous combustion risk. • Surface temperature does not play a role in the detection of potential spontaneous combustion areas. • UAV is an effective management tool in spontaneous combustion monitoring of coal waste dump. [ABSTRACT FROM AUTHOR]

Eastern China has a long history of coal mining and a large number of coal mine sites have been abandoned in this region leaving a legacy of mining-related land subsidence, coal waste piles and brownfield sites. Furthermore, as a result of the historical planning approach in the region, many cities were built around coal mines. Therefore, the ecological restoration of abandoned mine land has become vital to the sustainable development in these cities. This paper uses the Datong coal mine site in Huainan as a case study to develop a detailed ecological restoration plan and functional division for an abandoned underground coal mine land by considering the local conditions and mining history, site assessment and integrated monitoring tools. [ABSTRACT FROM AUTHOR]

For quality control of Chinese herbal medicine (CHM), an attempt on fingerprint-efficacy study of Radix Aconiti Lateralis Preparata ( Fuzi) was developed in this paper. The fingerprints of Fuzi from various sources were determined by UPLC and hierarchical clustering analysis. Some quantitative thermo-kinetic parameters such as the heat-flow maximum power ( P) and its time corresponding to t, which obtained from the thermogenic curves of mitochondria metabolic activity affected by Fuzi were analyzed using principal component analysis. The fingerprint-efficacy relationship of chemical fingerprint and promoting effect of Fuzi were established using canonical correlation analysis. Our results showed that the sources and places of production of Fuzi had some significant influence on the chemical fingerprints and promoting metabolic effects of this CHM. Fingerprint-efficacy study provided a powerful way and some references for the quality control of Fuzi and other CHMs. [ABSTRACT FROM AUTHOR]

Energy consumption in China is currently based on coal, but the exploitation of coal resources is accompanied by serious threats to the environment. In order to balance mine exploitation, land resource protection and land reclamation, there is an opportunity for monitoring land subsidence in mining area. This article examines a case study of Yanzhou mining area (YZMA) and proposes a new method for dynamic monitoring of land subsidence, which is a hybrid approach using a combination of multi-scale edge detection, relational model establishment and digital elevation model (DEM) difference analysis. A wavelet transform is used to extract the edges of water and marsh, which are buffered with the model to achieve the acquisition of the subsidence edge. DEM difference analysis is finally used to modify the results. The results indicate that this hybrid method improves subsidence monitoring performance by ±0.02 km2 of the area accuracy. This method can be viewed as an effective approach to monitor a wide range of land subsidence in plain mining areas of China. [ABSTRACT FROM AUTHOR]

[Display omitted] • The ecosystem "function-dynamics-structure" conceptual framework was constructed to quantify ecological sources. • Disaster disturbance risk index was introduced as revising factor to construct ecological resistance surface. • Potential ecological corridors were extracted using MCRS model constructed with considering ecosystem services importance index. • Gravity model was used to optimize ecological security pattern. Large-scale mining activities have induced numerous non-negligible eco-geological environmental issues that seriously threaten regional ecological security. Construction and optimization of an ecological security pattern (ESP) can aid coordination of mineral resource development and ecological protection. An innovative method was proposed to construct and optimize ESP, which used ecosystem "function-dynamics-structure" conceptual framework, disaster disturbance risk index, incorporating ecosystem services importance index into minimum cumulative resistance (MCR) theory (MCRS) model, and gravity model. Specifically, ecological sources are quantitatively cataloged using ecosystem "function-dynamics-structure" conceptual framework. Ecological resistance surface is revised using the disaster disturbance risk index. Ecological corridors are extracted using the MCRS model. Regulation zones are defined by combining the optimized ESP with gravity model. The optimized ESP in Shuozhou city, China includes 67 ecological nodes, 625.97 km2 of primary ecological sources, 83.87 km2 of secondary ecological sources, 534.18 km of primary ecological corridors, and 282.28 km of secondary ecological corridors. These form the spatial pattern of "two horizontal, four vertical and four circles", which will be used to maintain ecological process continuity and ecological flow within the study area. Corresponding suggestions are proposed to guide the planning of each regulation zone. The restrictive, protective, and suitable development zone areas are 1131.72 km2, 4255.47 km2 and 5238.93 km2, respectively. This methodology is not only suitable for determination of ESPs in coal mining areas, but also provides an approach, i.e., ecosystem "function-dynamics-structure" conceptual framework and MCRS model, that can be used to coordinate sustainable resource exploitation and ecological protection worldwide. [ABSTRACT FROM AUTHOR]

In semi-arid climate regions of China, vegetation restoration on open pit mining lands is limited by soil moisture. However, multi-layered soil profiles can impede water infiltration into deeper underground, leaving more water stored in the root zone. Here, three types of soils with contrasting texture, sandy loam (SL), sand (S), and silt loam (SiL), were used to construct four multilayer profiles: SL-SiL, SL-S, SL-S-SiL, and SL-SiL-S. Silt loam was taken from the humus layer, which is more conducive to plant growth than other layers, and it was allocated to the first layer in the four profiles, while sand and silt loam underlay the silt loam layer. Column experiments and Hydrus-1D simulation of the vertical infiltration and drainage process were performed: (1) The simulated results showed that when the sand layer underlay the sandy loam layer (SL-SiL and SL-S-SiL), the sandy loam layer could hold more water than the silt loam layer underlaying the sandy loam layer (SL-SiL and SL-SiL-S). The water content of the sandy loam layer in SL-SiL (95 cm) and SL-S-SiL (95 cm) was 28.3% higher than SL-SiL (74 cm) and 10.5% higher than SL-SiL-S (86 cm). (2) Both the measured and simulated cumulative infiltration and wetting front penetration time were positively related to the thickness of the silt loam layer and negatively related to the thickness of the sand layer. (3) The simulated infiltration rate, accumulation infiltration, and wetting front of the first layer were unaffected by the texture of the underlying layer. According to multi-criteria decision analysis, SL-S-SiL had the best water holding capacity and was suggested for land reclamation in the open pit mine in our research. [ABSTRACT FROM AUTHOR]

The eastern plain of China is one of the most important grain production areas in China. Meanwhile, the plain is also an important coal production area with a large number of "coal-grain composite regions". Coal mining causes land subsidence and waterlogging, which destroys a significant amount of cultivated land. However, there is no dataset for the spatio-temporal distribution of subsidence water to assist related decision-making on a regional scale. Accurate monitoring of subsidence water is still a challenge, especially distinguishing among subsidence water, natural water and artificially excavated water by only using remote sensing data. Here, A new method to generate a dynamic map for the subsidence ponding year and the restoration year using the Google Earth Engine platform with 33-year-old Landsat imagery was created. The time segmentation method was used to first extract the change water pixels corresponding to subsidence water and artificially excavated water with similar trajectory features. Then, the morphological characteristics of the two types of change water at the beginning year of water accumulation are used to construct 13 landscape indexes. This approach utilizes the Random Forest algorithm to distinguish between subsidence water and artificially excavated water. The Huang-Huai-Hai plain area in eastern China was selected as the study area and extracted the subsidence water areas from 1986 to 2018. The identification accuracies for subsidence ponding year and restoration year are 88% and 85%. 79% of the subsidence water areas are located in cultivated land, which shows significant impacts to agricultural activities. The method proposed could be applied to other similar areas, the results could provide reference and data for decision-making and related land reclamation planning. • A novel methodology was developed for mapping mining subsidence water. • Map of the subsidence ponding year and restoration year. • Random forest algorithm can effectively extract the patch of subsidence water. • Contribute to monitor annual subsidence water at a regional scale. • This paper belongs to change detection using Landsat time series. [ABSTRACT FROM AUTHOR]

Underground coal mining with high groundwater levels causes many environmental problems, one of the main ones being subsidence waterlogging. After the subsidence waterlogging, the land faces many problems, such as insufficient land development and difficult and costly land restoration. Therefore, it is necessary to monitor the spatial range and temporal trajectory pattern of surface subsidence in a timely manner. When information about underground mining is lacking, it is difficult by using remote sensing alone to identify and distinguish (i) natural water, (ii) engineering water, and (iii) subsidence waterlogging. In this study, we used the Google Earth Engine platform to develop a method to detect subsidence waterlogging area and the disturbance year. The method includes pixel-based trajectory extraction and object-based water type recognition. First, LandTrendr is used to extract the change water (engineering water and subsidence waterlogging) pixels and its disturbance year. Then, the morphological method to further eliminate engineering water patches, so as to extract subsidence waterlogging. We selected the Panxie mining area in Huainan, China as the study area. Using 33 years of Landsat time-series data to generate values of the annual water frequency index, maps of the year of water accumulation caused by underground coal mining and the year of restoration during 1989–2016 are drawn with accuracies of 86.5% and 80.7%, respectively. The results show that from 1989 to 2016, the accumulated area of subsidence waterlogging was 7715.25 ha, accounting for 14.5% of the total area of the study area, of which 75.8% occurred from 2008 to 2016. Furthermore, the accumulated area of restoration was 207.18 ha, which occurred after 2007 and accounts for 2.7% of the total area of subsidence waterlogging. Based on the analysis results of the changes of waterlogging types, the best time window for restoration of the waterlogging area is 3y after water accumulation. The main innovation of this paper is to make use of the temporal heterogeneity (Number of year in patches, Y_num) and morphological index (Landscape shape index in patches, LSI) of the change water to distinguish engineering water and subsidence waterlogging. • Map of subsidence waterlogging caused by mining coal using Landsat time-series. • The annual water frequency index is capable to capture the water variability. • A spatial-temporal algorithm identifies the timing of subsidence waterlogging • The algorithm identifies the timing of backfill after subsidence waterlogging. • The algorithm is applicable to other mining areas too. [ABSTRACT FROM AUTHOR]

High-intensity coal mining has resulted in numerous ecological and environmental problems, and seriously threatens ecological security in China. The identification and optimization of the ecological security pattern (ESP) can facilitate sustainable development while preserving the integrity and stability of ecosystems, which is important for improving ecological security in fragile ecosystems and areas of intensive coal mining. This paper presents an integrated framework for identifying, analyzing, and optimizing ESP in consideration of the core area extracted based on morphological spatial pattern analysis (MSPA), ecosystem services importance, and ecological risk index. The innovative method combines the model of linking different ecological source grades to multi-process minimum cumulative resistance (multi-process MCRE model) and kernel density analysis and includes the following steps: (1) ecological patches are delimited by assessing ecosystem services importance based on the contributions of water resources supply, soil conservation, gas regulation, and habitat maintenance; (2) ecological sources are identified by considering landscape connectivity along with the number and area of important ecological patches; (3) ecological resistance coefficient is determined based on the ecological risk index, which is constructed by coupling the surface drought index, landscape ecological risk index, and mine disaster risk index; (4) ecological corridors are extracted using the multi-process MCRE model, which is based on minimum cumulative resistance (MCR) theory, and the ecological potentials of ecological sources; and (5) the ESP is optimized via kernel density analysis, and regulation zones are defined based on the optimized ESP. Results demonstrate that the optimized ESP in study area included 3326 km2 of ecological sources that primarily dominated by grassland, 58 ecological nodes, 827.92 km of group corridors and 308.21 km of landscape corridors; which distribution pattern was "three horizontal, two vertical, and two circles" to ensure continuity of ecological process within study area. The restrictive, protective and key development areas accounted for 17.36%, 59.81%, and 22.83%, respectively; and corresponding planning recommendations were raised. This study not only provides an effective framework to identify, construct, and optimize ESPs in ecologically fragile coal-mining areas, but also purposes the multi-process MCRE model and ecological sources quantification that suitable for global region to achieve the sustainability between resource exploitation, urban development, and ecological protection. [ABSTRACT FROM AUTHOR]

• Ecological resilience assessment model was built integrating Over-Underground features. • Entropy and linear weighting method are used to quantify ecological resilience in 10 m grid scale. • Influencing factors of each partition are analyzed to provide reference for decision-making. The exploitation of coal resources will bring about a series of environmental problems, which will not only affect the surface ecological environment of the region, seriously threatening underground resources, but will also affect the normal production and living activities of human beings. The impacted ecological system is combined by both overground and underground features. In this paper, Shendong coal field, one of the high-strength coal mining areas in western China is used as a research area. An O-U (Overground-Underground) analysis framework and model was established to quantitatively assess the degree of mining impact on the eco-system and its resilience. The entropy method is used to calculate the weight of each index, and the comprehensive value of each grid is calculated by the linear weighted method. The comprehensive value of each grid's indicators is divided into four ecological resilience (ER) partitions by natural breakpoint method. Finally, Pearson coefficients is used to analyze the main influencing factors of the four sub-areas, and reasonable suggestions are given. By zoning the ER of the study area, it can provide reference for the mining method selection and land reclamation measures, and also provide direction for the ecological environment management in other similar areas. [ABSTRACT FROM AUTHOR]

• Ecological vulnerability index was used to evaluate ecological condition in intensive coal mining area. • The driving factors affecting EV was calculated by stepwise regression. • Coal mining activities didn't show significant negative impact on EV in study area. Ecological integrity of coal mining areas is subject to intense disruption due to the large scale and intensity of operations and the intensification of associated human activity. Negative impacts of coal mining include soil erosion, decline in soil fertility, water pollution, and structural changes to land use. Impacts of coal mining are acute in western China which has been defined as an ecologically fragile zone on account of the arid soils and low rainfall climate that render ecosystem restoration problematic. Here, we studied drivers of ecological vulnerability (EV) in an ecologically fragile area of Shaanxi province and Inner Mongolia that is one of the most globally active and intensive coal mining regions. An evaluation model, using eight indicators of EV such as slope (SL), relief amplitude (RA), rainfall erosion factor (RE), average temperature (AT), land use type (LUT), soil erosion factor (SE), net primary productivity of vegetation (NPP) and coverage of vegetation (CV), was constructed based on a Pressure-State-Response model. An Ecological Vulnerablity Index (EVI) was calculated within the region for 2005, 2010, and 2015 by using the model of EVI and spatio-temporal changes in EV were analyzed. Mechanisms and drivers of EV were assessed using the stepwise regression. The results showed that the area of industrial and mining land increased by 912.96% between 2005 and 2015, where the greatest increase occurred between 2010 and 2015 by 620.00%. The EVI fluctuated insignificantly from 2.69 to 2.78 during the study period and was little related to changes in somewhat areas of urban land use and coal mining intensity. We concluded that the EV of the region slightly increased, despite the extent and intensity of coal mining actives. The main drivers of EV were temperature, precipitation, and land use change. This research will help inform environmental protection policies and environmental planning for coal mining operations in the study area. [ABSTRACT FROM AUTHOR]

Abstract: For quality control of Chinese materia medica (CMM), an attempt on fingerprint–efficacy study of artificial Calculus bovis was developed in this work. Chemical fingerprints of artificial C. bovis samples from ten different sources were determined by UPLC–ELSD and investigated by similarity analysis and hierarchical clustering analysis. Antibacterial effects of these samples on Escherichia coli growth were measured using microcalorimetry. The fingerprint–efficacy relationship of chemical fingerprint and antibacterial effect of artificial C. bovis were established by multi-linear regression analysis. Our results showed that the sources and places of production of artificial C. bovis had some important influence on the chemical fingerprints and antibacterial effects of this CMM. These artificial C. bovis could be grouped into four clusters according to their chemical fingerprints and antibacterial effects. Compounds cholic acid, taurocholate sodium, hyodeoxycholic acid and one unknown compound might be the major effective components for quality control of this CMM. Fingerprint–efficacy study provided a powerful way and some insight for the quality control of artificial C. bovis and other CCMs. [Copyright &y& Elsevier]

The flow chart of the present review. [Display omitted] With the development of high-throughput screening and bioinformatics technology, natural products with a range of pharmacological targets in multiple diseases have become important sources of new drug discovery. These compounds are derived from various plants, including the dried root of Scutellaria baicalensis Georgi, which is often used as a traditional Chinese herb named Huangqin, a popular medication used for thousands of years in China. Many studies have shown that baicalin, an extract from Scutellaria baicalensis Georgi, exerts various protective effects on liver and gut diseases. Baicalin plays a therapeutic role mainly by mediating downstream apoptosis and immune response pathways induced by upstream oxidative stress and inflammation. During oxidative stress regulation, PI3K/Akt/NRF2, Keap-1, NF-κB and HO-1 are key factors associated with the healing effects of baicalin on NAFLD/NASH, ulcerative colitis and cholestasis. In the inflammatory response, IL-6, IL-1β, TNF-α, MIP-2 and MIP-1α are involved in the alleviation of NAFLD/NASH, cholestasis and liver fibrosis by baicalin, as are TGF-β1/Smads, STAT3 and NF-κB. Regarding the apoptosis pathway, Bax, Bcl-2, Caspase-3 and Caspase-9 are key factors related to the suppression of hepatocellular carcinoma and attenuation of liver injury and colorectal cancer. In addition to immune regulation, PD-1/PDL-1 and TLR4-NF-κB are correlated with the alleviation of hepatocellular carcinoma, ulcerative colitis and colorectal cancer by baicalin. Moreover, baicalin regulates intestinal flora by promoting the production of SCFAs. Furthermore, BA is involved in the interactions of the liver-gut axis by regulating TGR5, FXR, bile acids and the microbiota. In general, a comprehensive analysis of this natural compound was conducted to determine the mechanism by which it regulates bile acid metabolism, the intestinal flora and related signaling pathways, providing new insights into the pharmacological effects of baicalin. The mechanism linking the liver and gut systems needs to be elucidated to draw attention to its great clinical importance. [ABSTRACT FROM AUTHOR]

Objective: Chronic non-atrophic gastritis (CNAG) is a common clinical gastrointestinal disease with a long and recurrent course. In China, Wuzhuyu decoction (WZYD) has been used for centuries to treat gastrointestinal disorders. To unravel the efficacy and mechanism of WZYD for CNAG, a clinical study was conducted. And metabolomics was used to explore the mechanism of WZYD for CNAG patients., Methods: Twenty patients in total were recruited in this study (Nos. ChiCTR2200062296) and the protocol was approved by the Ethics Committee (Approval number: KY-2022-2-6-1) and complied with the Declaration of Helsinki. The formula granule of WZYD were assessed by UHPLC-QQQ-TOF to discern the main potential active compounds. The endoscopy evaluation and histopathological changes were detected as effective indicators. Serum samples from patients were used for metabolomics. Inflammatory factors in patients' serum were determined by ELISA. Metabolomics revealed a series of differential metabolites and signaling pathways., Results: WZYD was capable to prevent CNAG by ameliorating score of endoscopy evaluation including erosion, hemorrhage, as well as chronic inflammation and active chronic inflammation score after treatment were decreased. The results indicated that 10 core metabolic components were associated with the treatment of WZYD. Moreover, these metabolic components proved that pyrimidine metabolism and thiamine metabolism were critically responsible for CNAG. In addition, WZYD treatment effectively reduced serum levels of TNF-α, IL-10, and COX-2., Conclusion: Altogether, WZYD can effectively alleviate CNAG by inhibiting inflammation and regulating related metabolic processes, which might be the molecular mechanism of WZYD treatment of CNAG. More studies are warranted to be conducted in this area., Trial Registration: ChiCTR, ChiCTR2200062296. Registered 1 August 2022, https://www.chictr.org.cn/com/25/showprojen.aspx?proj=174027., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2023 Hu et al.)

Purpose: This retrospective study analyzed the polymorphisms and phenotypic frequencies of CYP2C9, CYP2C19 and CYP2D6 in a Han Chinese population., Methods: Tests for polymorphisms of CYP2C9, CYP2C19 and CYP2D6 were performed in over 3000 (3099-3931) samples using an Illumina HiSeq X Ten sequencer. Following the guidance of the PharmGKB and PharmVar databases, the polymorphisms of CYP2C9, CYP2C19 and CYP2D6 were transformed into phenotypes, which included ultrarapid metabolizers (UMs), rapid metabolizers (RMs), normal metabolizers (NMs), intermediate metabolizers (IMs) and poor metabolizers (PMs)., Results: A total of 3122 samples were tested for polymorphisms in CYP2C9 and the overall polymorphism frequency was found to be 8.8%; the phenotypic frequency for CYP2C9 was 91.2% NMs, 8.23% IMs and 0.16%, PMs. The overall polymorphism frequency of CYP2C19 was tested in 3099 samples and found to be 60.1%; the phenotypic frequency for CYP2C19 was 39.9% NMs, with 1.06% RMs, 45.62% IMs and 13.42% PMs. The overall polymorphism frequency of CYP2D6 was tested in 3931 samples and found to be 88.04%; the phenotypic frequency of CYP2D6 was 95.43% NMs, 3.35% IMs and 0.52% PMs. Using 2690 samples, the polymorphisms and phenotypic distributions of CYP2C9, CYP2C19 and CYP2D6 were examined simultaneously. We found that 96.36% of the samples contained mutations while 66.51% corresponded with phenotypic changes., Conclusions: Polymorphisms and phenotypic changes of CYP2C9, CYP2C19 and CYP2D6 are relatively frequent in the Han Chinese population. Thus, preemptive pharmacogenetic testing of CYP2C9, CYP2C19 and CYP2D6 should be recommended prior to dosing substrate drugs., (© 2020 John Wiley & Sons Australia, Ltd.)

Hepatocyte nuclear factor 1β (HNF1β), a transcription factor encoded by the transcription factor 2 gene (TCF2), plays a critical role in pancreatic cell formation and glucose homeostasis. It has been suggested that single nucleotide polymorphisms (SNPs) of TCF2 are associated with susceptibility to type 2 diabetes (T2D). However, published results are inconsistent and inclusive. To further investigate the role of these common variants, we examined the association of TCF2 polymorphisms with the risk of T2D in a Han population in northeastern China. We genotyped five SNPs in 624 T2D patients and 630 healthy controls by using a SNaPshot method, and evaluated the T2D risk conferred by individual SNPs and haplotypes. In the single-locus analysis, we found that rs752010, rs4430796 and rs7501939 showed allelic differences between T2D patients and healthy controls, with an OR of 1.26 (95% CI 1.08-1.51, P = 0.003), an OR of 1.23 (95% CI 1.06-1.55, P = 0.001) and an OR of 1.28 (95% CI 1.10-1.61, P = 0.001), respectively. Genotype association analysis of each locus also revealed that the homozygous carriers of the at-risk allele had a significant increased T2D risk compared to homozygous carriers of the other allele (OR 1.78, 95% CI 1.20-2.64 for rs752010; OR 1.82, 95% CI 1.24-2.67 for rs4430796; OR 1.95, 95% CI 1.31-2.90 for rs7501939), even after Bonferroni correction for multiple comparisons. Besides, the haplotype-based analysis demonstrated that AGT in block rs752010-rs4430796-rs7501939 was associated with about 30% increase in T2D risk (OR 1.31, 95% CI 1.09-1.57, P = 0.01). Our findings suggested that TCF2 variants may be involved in T2D risk in a Han population of northeastern China. Larger studies with ethnically diverse populations are warranted to confirm the results reported in this investigation.

It has been reported that single nucleotide polymorphisms (SNPs) in the promoter of the CCR5 gene are associated with the risk for HIV-1 infection and AIDS progression. Using resequencing, we performed a systematic survey of 78 HIV-1 seropositive individuals and 70 population-matched healthy control individuals from northern China to investigate SNPs of the CCR5 gene promoter and evaluated their effects on HIV-1 infection and the progression of AIDS. Linkage disequilibrium (LD) plots and haplotypes were generated using Haploview software. The association analyses were statistically compared using the Chi-square test with SPSS13.0 software for Windows. Seven SNPs (58755A>G, 58791C>T, 58934G>T, 59029A>G, 59353C>T, 59402A>G and 59653C>T) in the region of the CCR5 gene promoter were evaluated in this study. Among the seven SNPs, the minor allele frequencies of 58755G and 58791T were less than 2%. The differences in frequencies of the other five SNPs were not significant between case and control cohorts (P>0.05). In the case cohort, the association between these SNPs and clinical features (CD4+ T-lymphocyte counts and clinical categories) was not significant (P>0.05); however, there was a significant association between the haplotype GGTAC and susceptibility to HIV-1 infection (P<0.05), which is not consistent with other reports studied in different populations. The results suggest that the haplotype GGTAC may have a role in the process of HIV-1 infection in the northern Chinese population.