Explore the vast range of titles available.

Accurate and up-to-date mapping and monitoring of rubber plantations is challenging. In this study, we presented a simple method for rapidly and accurately mapping rubber plantations in the Xishuangbanna region of southwest China using phenology-based vegetation index differencing. Temporal profiles of the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Atmospherically Resistant Vegetation Index (ARVI), Normalized Difference Moisture Index (NDMI), and Tasselled Cap Greenness (TCG) for rubber trees, natural forests and croplands were constructed using 11 Landsat 8 OLI images acquired within one year. These vegetation index time series accurately demonstrated the unique seasonal phenological dynamics of rubber trees. Two distinct phenological phases (i.e., defoliation and foliation) of rubber trees were clearly distinguishable from natural forests and croplands. Rubber trees undergo a brief defoliation-foliation process between late December and mid-March. Therefore, vegetation index differencing between the nearly complete defoliation (leaf-off) and full foliation (leaf flushing) phases was used to delineate rubber plantations within fragmented tropical mountainous landscapes. The method presented herein greatly improved rubber plantation classification accuracy. Overall classification accuracies derived from the differences of the five vegetation indices varied from 92% to 96% with corresponding kappa coefficients of 0.84–0.92. These results demonstrate the promising potential of phenology-based vegetation index differencing for mapping and monitoring rubber expansion at the regional scale.

Endometriosis is one of the most common disorders that causes infertility in women. Iron is overloaded in endometriosis peritoneal fluid (PF), with harmful effects on early embryo development. However, the mechanism by which endometriosis peritoneal fluid affects embryonic development remains unclear. Hence, this study investigated the effect of iron overload on mouse embryos and elucidated the molecular mechanism. Iron overload in endometriosis PF disrupted blastocyst formation, decreased GPX4 expression and induced lipid peroxidation, suggesting that iron overload causes embryotoxicity and induces ferroptosis. Moreover, mitochondrial damage occurs in iron overload-treated embryos, presenting as decreased ATP levels, increased ROS levels and MMP hyperpolarization. The cytotoxicity of iron overload is attenuated by the ferroptosis inhibitor Fer-1. Furthermore, Smart-seq analysis revealed that HMOX1 is upregulated in embryo ferroptosis and that HMOX1 suppresses ferroptosis by maintaining mitochondrial function. This study provides new insight into the mechanism of endometriosis infertility and a potential target for future endometriosis infertility treatment efforts.

A novel class of organic units (N‐1 and N‐2) and their derivatives (PNNA‐1 and PNNA‐2) with excellent property of ultralong organic room temperature phosphorescence (UORTP) is reported. In this work, N‐1, N‐2, and their derivatives function as the guests, while organic powders (PNCz, BBP, DBT) and polymethyl methacrylate (PMMA) serve as the host matrixes. Amazingly, the color of phosphorescence can be tuned in different states or by varying the host matrixes. At 77 K, all molecules show green afterglow in the monomer state but yellow afterglow in the aggregated state because strong intermolecular interactions exist in the self‐aggregate and induce a redshift of the afterglow. In particular, PNNA‐1 and PNNA‐2 demonstrate distinctive photoactivated green UORTP in the PMMA film owing to the generation of their cation radicals. Whereas the PNNA‐1@PNCz and PNNA‐2@PNCz doping powders give out yellow UORTP, showing matrix‐controlled color‐tunable UORTP. In PNCz, the cation radicals of PNNA‐1 and PNNA‐2 can stay stably and form strong intermolecular interactions with PNCz, leading to a redshift of ultralong phosphorescence. Two organic units and their derivatives with tunable UORTP in defferent states or by varying doping matrixes are reported. PNNA‐1 and PNNA‐2 demonstrate distinctive photoactived green UORTP in PMMA films. The PNNA‐1@PNCz and PNNA‐2@PNCz doping systems emit yellow UORTP, showing matrix‐controlled color‐tunable UORTP.

Background Testosterone plays a pivotal role in male reproductive health and is synthesized primarily by Leydig cells (LCs) in the testes. Alterations in testosterone levels can lead to sexual dysfunction, reduced fertility, and various systemic health issues. FTO, an m 6 A demethylase, has been implicated in the regulation of RNA modification and has significant roles in various biological processes. However, its influence on testosterone secretion in LCs remains unclear. Objective This study aims to investigate the role of FTO in regulating testosterone secretion by LCs and to explore the potential impact of hCG treatment in rescuing the effects of FTO inhibition. Methods In this study, we assessed the mRNA and protein expression levels of FTO in LCs from 39 male patients diagnosed with obstructive azoospermia. Additionally, FTO knockdown was performed in TM3 cells, followed by analysis of cell proliferation, apoptosis, and testosterone secretion. The effect of hCG on rescuing FTO inhibition-induced changes was also evaluated. Results We identified a positive correlation between FTO expression levels and testosterone concentrations in LCs from 39 male patients with obstructive azoospermia. FTO knockdown in TM3 cells significantly reduced testosterone secretion, cell proliferation, and increased apoptosis. Specifically, 48 h post-transfection, the apoptosis rate in shRNA-FTO-transfected TM3 cells was 6.26%, significantly higher than in mock-transfected cells (3.03%, P =  0.013). FTO inhibition also markedly suppressed cell proliferation by 26.2% ( P <  0.0001) at 24 h, 34.3% ( P =  0.0006) at 48 h, and 21.5% ( P =  0.002) at 72 h, as measured by CCK-8 assay. However, the addition of 10 IU hCG significantly rescued the proliferation and reduced the apoptosis rate in the FTO knockdown group. Testosterone secretion in the FTO inhibition group was also significantly lower than in controls at all time points (6, 24, 48, and 72 h), but hCG treatment restored testosterone levels by 26.4% ( P =  0.003) at 6 h, 29.4% ( P =  0.0026) at 24 h, 18.8% ( P =  0.028) at 48 h, and 36.6% ( P =  0.0005) at 72 h. Conclusion Our study provides new evidence that FTO plays a critical role in regulating testosterone secretion in LCs. Additionally, we demonstrate that hCG treatment can restore testosterone production impaired by FTO inhibition. These findings offer valuable insights into the molecular mechanisms underlying testosterone secretion and may inform therapeutic strategies for male infertility and hypogonadism.

Kidney transplant rejection (KTR) poses significant challenges to long-term graft survival, with involvement from ubiquitination-related genes (URGs) in immune modulation. This study aimed to identify key URGs linked to KTR and develop a predictive model for rejection risk. mRNA array data from the Gene Expression Omnibus were analyzed to find differentially expressed genes in GSE98320, which were intersected with URGs to yield 16 DE-URGs. Gene Ontology and KEGG enrichment analysis highlighted the NF-kappa B and TNF signaling pathways. A URGScore model stratified patients and revealed significant differences in immune cell infiltration, especially among Treg cells, demonstrating strong predictive performance in the discovery cohort (AUC = 0.774, 95% CI 0.747–0.800). Six signature genes ( DTX3L , MARCH1 , NCF4 , RNF125 , TRIM21 , TRIM22 ) were identified, and their expression displayed a subtype-dependent gradient, increasing from antibody-mediated rejection to T cell-mediated rejection and reaching the highest levels in mixed rejection. These genes were incorporated into a nomogram, which achieved an AUC of 0.771 (95% CI 0.745–0.798). Validation in independent datasets confirmed the model’s reliability. In the two transplant rejection cases, MARCH1 and RNF125 showed higher expression than the other biopsy samples, while generalized high expression of all marker genes was observed in an IgA nephropathy patient. Together, these findings demonstrate the clinical relevance of URG-based biomarkers in KTR and provide molecular insight into immune-mediated rejection.

The aim of this study was to elucidate the specific mechanism through which 7-difluoromethoxy-5,4’-dimethoxygenistein (DFMG) inhibits angiogenesis in atherosclerosis (AS) plaques, given its previously observed but poorly understood inhibitory effects. In vitro, a model using Human Umbilical Vein Endothelial (HUVEC-12) cells simulated the initial lesion in the atherosclerotic pathological process, specifically oxidative stress injury, by exposing cells to 30 μmol/L LPC. Additionally, an AS mouse model was developed in ApoE knockout mice through a 16-week period of high-fat feeding. DFMG demonstrated a reduction in tubule quantities in the tube formation assay and neovascularization induced by oxidative stress-damaged endothelial cells in the chicken embryo chorioallantoic membrane assay. Furthermore, DFMG decreased lipid levels in the blood of ApoE knockout mice with AS, along with a decrease in atherosclerotic plaques and neovascularizations in the aortic arch and descending aorta of AS animal models. DFMG treatment upregulated microRNA140 (miR-140) expression and suppressed VEGF secretion in HUVEC-12 cells. These effects were counteracted by Toll-like receptor 4 (TLR4) overexpression in HUVEC-12 cells subjected to oxidative injury or in a mouse model of AS. Dual-luciferase reporter assays demonstrated that miR-140 directly targeted TLR4. Immunohistochemical assay findings indicated a significant inverse relationship between miR-140 expression and TLR4 expression in ApoE knockout mice subjected to a high-fat diet. The study observed a close association between DFMG inhibitory effects on angiogenesis and plaque stability in AS, and the inhibition of the TLR4/NF-κB/VEGF signaling pathway, negatively regulated by miR-140.

Life-cycle assessment is crucial for evaluating materials’ environmental impact and guiding the development of low-carbon and sustainable buildings. However, conventional LCA methods often overlook critical impacts during the operation and maintenance stage. To address this gap, this study proposes an improved framework using four composite indicators to enable systematic evaluation of six wall materials across China’s five climate zones. Using a university teaching building in the Hot Summer and Cold Winter Zone as a case study, this study quantitatively analyzed the economic viability and carbon reduction potential of each material. Results indicate that lower thermal conductivity does not necessarily imply superior economic and carbon reduction performance. Factors including the material carbon emission factor, cost, and thermal properties, must be comprehensively considered. Buffering materials also exhibit climate dependency—WPM and BWPM (moisture-buffering plastering mortars) perform better in hot–humid zones than temperate zones. All five buffer materials reduce operational energy consumption; WPM and BWPM stand out with 15.7% and 16.7% life-cycle cost savings and 17.3% and 18.0% carbon emission reductions, respectively. This study addresses the limitations of traditional LCC/LCA and provides theoretical and practical support for scientific material selection and low-carbon building design.

This article provides a systematic review of the current research status and latest progress in the field of mine ecological restoration. Using the SCI literature indexed by the Web of Science database as the data source, the research status and hotspots in the field of mine ecological restoration are displayed through the visual analysis of CiteSpace and the progress of mine ecological restoration technology this year is systematically summarized. Through a comprehensive review of existing technological methods, it is found that whether it is physical, chemical, biological restoration, or combined restoration technology, there are respective advantages, disadvantages, and application limitations. Physical remediation is a pretreatment, chemical remediation is prone to secondary pollution, while the sustainability shown by bioremediation makes it dominant in the of mine ecological remediation, but it has a long cycle and there is a risk of heavy metals that are accumulated by plants re-entering the biosphere through the food chain. Combined remediation can integrate the advantages of different restoration technologies and is the trend for the future development of mine ecological restoration. In the future, we should further promote technological innovation, perfect monitoring and evaluation technology, and promote informatization, scientization, and the effective implementation of mine ecological restoration, to achieve the ecological restoration and sustainable development of the mine area.

● Data acquisition and pre-processing for wastewater treatment were summarized. ● A PSO-SVR model for predicting COD eff in wastewater was proposed. ● The COD eff prediction performances of the three models in the paper were compared. ● The COD eff prediction effects of different models in other studies were discussed. The mining-beneficiation wastewater treatment is highly complex and nonlinear. Various factors like influent quality, flow rate, pH and chemical dose, tend to restrict the effluent effectiveness of mining-beneficiation wastewater treatment. Chemical oxygen demand (COD) is a crucial indicator to measure the quality of mining-beneficiation wastewater. Predicting COD concentration accurately of mining-beneficiation wastewater after treatment is essential for achieving stable and compliant discharge. This reduces environmental risk and significantly improves the discharge quality of wastewater. This paper presents a novel AI algorithm PSO-SVR, to predict water quality. Hyperparameter optimization of our proposed model PSO-SVR, uses particle swarm optimization to improve support vector regression for COD prediction. The generalization capacity tested on out-of-distribution (OOD) data for our PSO-SVR model is strong, with the following performance metrics of root means square error (RMSE) is 1.51, mean absolute error (MAE) is 1.26, and the coefficient of determination ( R 2) is 0.85. We compare the performance of PSO-SVR model with back propagation neural network (BPNN) and radial basis function neural network (RBFNN) and shows it edges over in terms of the performance metrics of RMSE, MAE and R 2, and is the best model for COD prediction of mining-beneficiation wastewater. This is because of the less overfitting tendency of PSO-SVR compared with neural network architectures. Our proposed PSO-SVR model is optimum for the prediction of COD in copper-molybdenum mining-beneficiation wastewater treatment. In addition, PSO-SVR can be used to predict COD on a wide variety of wastewater through the process of transfer learning.

This study explores the coupling relationship between wetland ecotourism and resource–environmental carrying capacity in the Dongting Lake region. By constructing a comprehensive index system and utilizing a coupling coordination degree model, we analyzed the temporal and spatial evolution characteristics across 24 districts and counties from 2014 to 2022. The results indicate the following: (1) The quality of both ecotourism and environmental carrying capacity has steadily improved, though significant regional disparities remain. (2) The coupling coordination degree exhibits a “high in the center, low in the periphery” spatial pattern, showing a positive correlation between ecotourism levels and environmental capacity. (3) The region comprises three development types: balanced coordination, well-matched, and lagging. These findings provide a scientific basis for optimizing ecotourism pathways and achieving high-quality regional sustainable development.