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| 1 | Textural and geochemical characteristics of late Pleistocene to Holocene fine-grained deep-sea sediment cores(GM6 and GM7),recovered from southwestern Gulf of Mexico显示文摘Texture, mineralogy, geochemistry, and ^(14)C ages of two deep-sea sediment cores(GM6 and GM7) recovered in the southwestern Gulf of Mexico were investigated to infer their provenance and depositional condition. The sediments are enriched in fine-grained silt and clay and poor in sand content. Mineralogically, the sediments consist of quartz,calcite, smectite, and kaolinite. Based on the ^(14)C data, the age of the GM6 and GM7 sediment cores were calculated as23,615 cal yrs. BP and 19,007 cal yrs. BP, respectively. The weathering indices such as chemical index of alteration(CIA),chemical index of weathering(CIW), and plagioclase index of alteration(PIA) in GM6(56-69, 60-74, and 61-73,respectively) and GM7(54-69, 57-76, and 55-74, respectively) cores revealed a moderate-to-high intensity of weathering. The rare earth element(REE) patterns suggested that the sediments were derived mostly by the weathering of intermediate rocks, exposed along the coastal regions of the Gulf of Mexico. The trace elemental ratios like V/Cr(<2),Ni/Co(<2), and Cu/Zn(<1), authigenic uranium content(<1), and Ce anomaly(Ce/Ce~* ≤ 1) suggested that the sediments were deposited under an oxic condition, which was also revealed by the benthic foraminiferal assemblages throughout the GM6 and GM7 sediment cores. | Abigail Anaya-Gregorio John S.Armstrong-Altrin Marfa Luisa Machain-Castillo Patricia C.Montiel-Garcia Mayla A.Ramos-Vazquez | 2018 | Journal of Palaeogeography2018，7，3： | 5 |
| 2 | Early detection of hepatocellular carcinoma co-occurring with hepatitis C virus infection: A mathematical model显示文摘AIM: To develop a mathematical model for the early detection of hepatocellular carcinoma(HCC) with a panel of serum proteins in combination with α-fetoprotein(AFP).METHODS: Serum levels of interleukin(IL)-8, soluble intercellular adhesion molecule-1(s ICAM-1), soluble tumor necrosis factor receptor Ⅱ(s TNF-RⅡ), proteasome, and β-catenin were measured in 479 subjects categorized into four groups:(1) HCC concurrent with hepatitis C virus(HCV) infection(n = 192);(2) HCV related liver cirrhosis(LC)(n = 96);(3) Chronic hepatitis C(CHC)(n = 96); and(4) Healthy controls(n = 95). The R package and different modules for binary and multi-class classifiers based on generalized linear models were used to model the data. Predictive power was used to evaluate the performance of the model. Receiver operating characteristic curve analysis over pairs of groups was used to identify the best cutoffs differentiating the different groups. RESULTS: We revealed mathematical models, based on a binary classifier, made up of a unique panel of serum proteins that improved the individual performance of AFP in discriminating HCC patients from patients with chronic liver disease either with or without cirrhosis. We discriminated the HCC group from the cirrhotic liver group using a mathematical model(-11.3 + 7.38 × Prot + 0.00108 × s ICAM + 0.2574 ×β-catenin + 0.01597 × AFP) with a cutoff of 0.6552, which achieved 98.8% specificity and 89.1% sensitivity. For the discrimination of the HCC group from the CHC group, we used a mathematical model [-10.40 + 1.416 × proteasome + 0.002024 × IL + 0.004096 × s ICAM-1 +(4.251 × 10-4) × s TNF + 0.02567 ×β-catenin + 0.02442 × AFP] with a cutoff 0.744 and achieved 96.8% specificity and 89.7% sensitivity. Additionally, we derived an algorithm, based on a binary classifier, for resolving the multi-class classification problem by using three successive mathematical model predictions of liver disease status. CONCLUSION: Our proposed mathematical model may be a useful method for the early detection of different statuses of liver disease co-occurring with HCV infection. | Abdel-Rahman Nabawy Zekri Amira Salah El-Din Youssef Yasser Mabrouk Bakr Reham Mohamed Gabr Ola Sayed Ahmed Mostafa Hamed Elberry Ahmed Mahmoud Mayla Mohamed Abouelhoda Abeer A Bahnassy | 2016 | World Journal of Gastroenterology2016，22，16： | 2 |
| 3 | Cellulase production from a new strain Acremonium strictum isolated from the Brazilian Biome using different substrates显示文摘 | Rosana Goldbeck Mayla M Ramos Goncalo A G Pereira | | 0，，： | 1 |
| 4 | Provenance of sediments from Barra del Tordo and Tesoro beaches, Tamaulipas State, northwestern Gulf of Mexico显示文摘The mineralogy, bulk sediment geochemical composition, and U–Pb ages of detrital zircons retrieved from the Barra del Tordo(Tordo) and Tesoro beach sediments in the northwestern Gulf of Mexico were analyzed to determine their provenance. The beach sediments are mainly composed of quartz, ilmenite, magnetite, titanite,zircon, and anorthite. The weathering proxies such as the Chemical Index of Alteration(CIA), Chemical Index of Weathering(CIW), and Plagioclase Index of Alteration(PIA), reveal a moderate-to-high intensity of weathering in the source area. The chondrite-normalized rare earth element(REE) patterns are similar to felsic igneous rocks, with large negative europium anomaly(Eu/Eu^(*)= ~ 0.47–0.80 and ~ 0.57–0.67 in the Tordo and Tesoro beach sediments,respectively).Three major zircon U–Pb age groups are identified in the Tordo and Tesoro beach sediments, i.e., Proterozoic(~2039–595 Ma), Mesozoic(~ 244–70.3 Ma), and Cenozoic(~ 65.9–1.2 Ma). The differences of the zircon age spectrum between the Tordo and Tesoro beach sediments are not significant. The comparison of zircon U–Pb ages in this study with ages of potential source terranes suggests that the Mesozoic and Cenozoic zircons of the studied Tordo and Tesoro beach sediments were derived from the Eastern Alkaline Province(EAP) and Mesa Central Province(MCP). Similarly, the likely sources for the Proterozoic zircons were the Sierra Madre Oriental(SMOr) and Oaxaquia in the northwestern Gulf of Mexico. The results of this study further indicate that the sediments delivered to the beaches by rivers and redistributed by longshore currents were crucial in determining the sediment provenance. | Mayla A.Ramos-Vazquez John S.Armstrong-Altrin | 2021 | Journal of Palaeogeography2021，10，3： | 0 |
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