As we know, mantle‐derived mafic rocks can be used to effectively trace the nature of the mantle source and constrain the regional tectonic setting and evolution. Recently, a Late Mesozoic mafic intrusive body (Huangmao pluton) has been found in the eastern Jiangnan Orogen (EJO). In this study, we investigate this pluton using petrography, whole‐rock geochemistry, Sr–Nd–Pb isotopes, and geochronology. The Huangmao pluton is primarily composed of a fine‐grained gabbro‐diabase, which is characterized by consistent SiO 2 , MgO, Fe 2 O 3 T , and TiO 2 contents. These gabbros exhibit continental crust‐like trace element signatures, i.e., enriched in large‐ion lithophile elements (LILE), Pb, and light rare earth elements (LREE), but depleted in high‐field‐strength elements (HFSE). In addition, the Huangmao gabbros have moderate initial 87 Sr/ 86 Sr ratio (0.7065–0.7080) and slightly negative to weakly positive ε Nd ( t ) value (−2.06 to +0.84). Finally, U–Pb zircon dating confirms that the Huangmao pluton was emplaced in the Late Jurassic (152.6 ± 3.1 Ma). Through an integrated geochemical analysis, these Late Mesozoic gabbros were genetically originated from an enriched lithospheric mantle source, which formed by a metasomatic reaction between mantle peridotite and sediment‐derived felsic melt. Consequently, the lithologies of the metasomatite were predominantly pyroxenites with a small amount of pyroxene‐rich peridotites. Considering the large distance between the modern trench and the EJO, the flat‐slab subduction and rollback model of the palaeo‐Pacific Plate is the most reasonable interpretation of the geodynamic setting that resulted in Late Mesozoic magmatism in the EJO.
Accretionary and collisional orogeny are often accompanied by the disturbance of the geothermal gradient, leading to high-temperature metamorphism. High-temperature metamorphic rocks are significant in their ability to help the reconstruction of the thermal histories of orogenic belts. The Tianshan Orogenic Belt, at the southwest margin of the Central Asian Orogenic Belt, is a record of the long-term subduction–collision–post-collision orogenic process that has taken place in the Phanerozoic Eon. Here, we report the discovery of mafic granulites in the Muzhaerte area, SW Tianshan. Petrographic observation reveals that the mafic granulites underwent two metamorphic stages. The peak mineral assemblages of the first stage are dominated by clinopyroxene + orthopyroxene + plagioclase + quartz + hornblende ± biotite, and the post-peak mineral assemblages of the second stage are dominated by clinopyroxene + plagioclase + quartz + amphibole + biotite. The calculated results obtained from the two-pyroxene thermobarometers and the Al-in-hornblende barometer for the mafic granulites indicate that the metamorphic conditions of mafic granulites are 760–860 ℃ and < 0.39–0.41 Gpa. The mafic granulites recorded a high-grade granulite facies thermal metamorphic event with the highest temperature limit currently recorded in the Central Tianshan Block.
The Three-year Tough Action Plan for Endemic Diseases Control (2018-2020), which was formulated by 10 ministries of China, was issued on November 29, 2018. Schistosomiasis control is an important part of this plan, and the implementation of the plan provides an important basis for the health poverty alleviation and the fight against schistosomiasis in China. This paper describes the objective and principle of the plan and proposes "six actions" and supporting measures to implement the three-year tough action targeting schistosomiasis, with aims to guide the scientific implementation of the three-year tough action against schistosomiasis and facilitate the progress towards schistosomiasis elimination in China.[摘要] 2018 年 11 月 29 日, 国家卫生健康委员会等 10 部门联合制定的《地方病防治专项三年攻坚行动方案 (2018–2020 年) 》正式下发, 血吸虫病防治工作是其重要内容之一。该方案的实施为做好健康扶贫、打好血吸虫病防治攻坚战奠定了 重要基础。本文就该方案提出的目标和原则、落实血吸虫病防治三年攻坚“六大行动”和保障措施等进行解读, 旨在指导 基层科学规范开展血吸虫病防治三年攻坚行动计划、推进消除血吸虫病进程。.
Peridotitic xenoliths in the Cenozoic basalts from Panshishan and Fangshan in Subei basin are mainly spinel lherzolite with minor spinel harzburgite.Petrographic observation for the peridotitic xenoliths from Panshishan shows that they might undergo a reaction process of Ol+Cpx+Melt=Ol+Opx+Melt.However,petrographic observation for the peridotitic xenoliths from Fangshan does not show this kind of reaction process,indicating that there was still residue of the old lithospheric mantle material beneath this area.Comparing with the Early Paleozoic mantle peridotite from the North China Block,the peridotitic xenoliths in Subei basin are more fertile in basaltic components with the Fo values of olivines being from 0.89 to 0.90 and the En values of orthopyroxenes being from 0.88 to 0.90,indicating that the lithospheric thinning and the lithospheric mantle replacement took place from Early Paleozoic to Cenozoic.The estimated equilibrium temperature of peridotites from Panshishan and Fangshan ranges from 940 ℃ to 1 010 ℃ and 985 ℃ to 1 081 ℃,respectively.The estimated equilibrium pressure for that of Panshishan and Fangshan ranges from 0.90 GPa to 2.07 GPa and from 1.65 GPa to 2.61 GPa,corresponding to depth of 29 km to 66 km and 53 km to 84 km,respectively.Therefore,the derived depth of xenolith from Panshishan was less than that of Fangshan.The thickness of lithospheric mantle underneath Subei basin during Cenozoic was about 50 km,between 30 km and 80 km depths in the lithospheric profile.
Manganese (Mn) and rare-earth elements (REEs) in a stalagmite (SJ3) collected from Central China were analyzed, using an ICP-MS method for the precise determination of > 40 trace elements in geological samples by enriched-isotope internal standardization. Unlike speleothem Mn and REEs investigated by cathodoluminescence, which may be incorporated into crystal lattice, the Mn and REEs analyzed in SJ3 should come largely from colloidal and particle phases in groundwater and may be associated with non-carbonate inclusions. The Mn and REEs in SJ3 vary significantly during the period between 20 and 10 ka. These elements show remarkable increases since ∼ 14.5 ka, suggesting enhanced weathering of the overlying soil layer and the host rock since the onset of the last deglaciation and the strengthening of the Asian summer monsoon. In addition, the Mn and REEs in SJ3 display significant centennial fluctuations which may reflect groundwater dynamics.
Machine learning has made great progress in the field of medicine, especially in oncology research showing significant potential. In this paper, the application of machine learning in the study of cholangiocarcinoma was discussed. By developing a novel intra-tumor heterogeneity feature, the study successfully achieved accurate prediction of prognosis and immunotherapy effect in patients with cholangiocarcinoma. This study not only provides strong support for personalized treatment, but also provides key information for clinicians to develop more effective treatment strategies. This breakthrough marks the continuous evolution of machine learning in cancer research and brings new hope for the future development of the medical field. Our study lays a solid foundation for deepening the understanding of the biological characteristics of cholangiocarcinoma and improving the therapeutic effect, and provides a useful reference for more extensive cancer research.
The Beihuaiyang Zone (BHY) is one of the most important Mo–Pb–Zn polymetallic metallogenic belts in China, and the BHY deposits are genetically and geographically associated with Cretaceous magmatic rocks. In this article, we present new zircon U–Pb ages and Hf isotope data, whole-rock major and trace-element analytical results, and Sr–Nd–Pb isotope data for the granite porphyry of the Shapinggou (SPG) Mo deposit and the quartz monzonite porphyry of the Gongdongchong (GDC) Pb–Zn deposit. The high contents of SiO2, crust-like rare-earth-element and trace element patterns, and the enriched Sr–Nd–Pb–Hf isotopic compositions indicate that both porphyries originated from crustal melting. Inherited Neoproterozoic zircons are common in both porphyries, which implies that their crustal sources were the South China Block rather than the North China Block. Whole-rock εNd(t) values (−10.8 to −9.8 for the GDC deposit, −12.9 to −12.4 for the SPG deposit) and zircon εHf(t) values (−14.3 to −11.1 for the GDC deposit, −18.4 to −13.3 for the SPG deposit) for the ore-bearing rocks are significantly higher than the values found in the widespread and older ore-barren rocks, indicating that the magma sources of the ore-bearing rocks were younger than those of the ore-barren rocks. An integrated study of the Sr–Nd–Pb–Hf isotope contents shows that these younger source rocks are similar to the gneisses found in the South and Central Dabie units, which represent the upper crust of the subducted South China Block. Given the geochemical behaviour of molybdenum, a surface enrichment process would have been an essential prerequisite for the formation of the large Mo deposit. The early Paleozoic Mo–Pb–Zn-enriched black shales, which are widespread in the upper layers of the South China Block, might have been scraped off during Triassic subduction and then transported to deep-crustal levels below the BHY, thus forming an ideal source for the ore-bearing porphyries. An upper-crustal origin for the ore-bearing magmatic rocks is also consistent with the data for most other deposits distributed in the BHY of the Dabie Orogen.
OjectivesLow-grade glioma (LGG) is associated with increased mortality owing to recrudescence and the tendency for malignant transformation. Therefore, it is imperative to discover novel prognostic biomarkers as existing traditional prognostic biomarkers of glioma, including clinicopathological features and imaging examinations, are unable to meet the clinical demand for precision medicine. Accordingly, we aimed to evaluate the prognostic value of cyclin D1 (CCND1) expression levels and construct radiomic models to predict these levels in patients with LGGMaterials and MethodsA total of 412 LGG cases from The Cancer Genome Atlas (TCGA) were used for gene-based prognostic analysis. Using magnetic resonance imaging (MRI) images stored in The Cancer Imaging Archive with genomic data from TCGA, 149 cases were selected for radiomics feature extraction and model construction. After feature extraction, the radiomic signature was constructed using logistic regression (LR) and support vector machine (SVM) analyses.ResultsCCND1 was identified as a prognosis-related gene with differential expression in tumor and normal samples and plays a role in regulating both the cell cycle and immune response. Landmark analysis revealed that high-expression levels of CCND1 were beneficial for survival (P < 0.05) in advanced LGG. Four optimal radiomics features were selected to construct radiomics models. The performance of LR and SVM achieved areas under the curve of 0.703 and 0.705, as well as 0.724 and 0.726 in the training and validation sets, respectively.ConclusionElevated levels of CCND1 expression could impact the prognosis of patients with LGG. MRI-based radiomics, especially the AUC values, can serve as a novel tool for predicting CCND1 expression and understanding the correlation between elevated CCND1 expression and prognosis.Availability of Data and MaterialsThe datasets analyzed during the current study are available in the TCGA, TCIA, UCSC XENA and GTEx repository, https://portal.gdc.cancer.gov/, https://www.cancerimagingarchive.net/, https://xenabrowser.net/datapages/, https://www.gtexportal.org/home/. Low-grade glioma (LGG) is associated with increased mortality owing to recrudescence and the tendency for malignant transformation. Therefore, it is imperative to discover novel prognostic biomarkers as existing traditional prognostic biomarkers of glioma, including clinicopathological features and imaging examinations, are unable to meet the clinical demand for precision medicine. Accordingly, we aimed to evaluate the prognostic value of cyclin D1 (CCND1) expression levels and construct radiomic models to predict these levels in patients with LGG A total of 412 LGG cases from The Cancer Genome Atlas (TCGA) were used for gene-based prognostic analysis. Using magnetic resonance imaging (MRI) images stored in The Cancer Imaging Archive with genomic data from TCGA, 149 cases were selected for radiomics feature extraction and model construction. After feature extraction, the radiomic signature was constructed using logistic regression (LR) and support vector machine (SVM) analyses. CCND1 was identified as a prognosis-related gene with differential expression in tumor and normal samples and plays a role in regulating both the cell cycle and immune response. Landmark analysis revealed that high-expression levels of CCND1 were beneficial for survival (P < 0.05) in advanced LGG. Four optimal radiomics features were selected to construct radiomics models. The performance of LR and SVM achieved areas under the curve of 0.703 and 0.705, as well as 0.724 and 0.726 in the training and validation sets, respectively. Elevated levels of CCND1 expression could impact the prognosis of patients with LGG. MRI-based radiomics, especially the AUC values, can serve as a novel tool for predicting CCND1 expression and understanding the correlation between elevated CCND1 expression and prognosis.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)