In Situ Fe and S isotope analyses in pyrite from the 3.2 Ga Mendon Formation (Barberton Greenstone Belt,South Africa): Evidence for early microbial iron reduction

On the basis of phylogenetic studies and laboratory cultures, it has been proposed that the ability of microbes to metabolize iron has emerged prior to the Archaea/Bacteria split. However, no unambiguous geochemical data supporting this claim have been put forward in rocks older than 2.7–2.5 giga years (Gyr). In the present work, we report in situ Fe and S isotope composition of pyrite from 3.28‐ to 3.26‐Gyr‐old cherts from the upper Mendon Formation, South Africa. We identified three populations of microscopic pyrites showing a wide range of Fe isotope compositions, which cluster around two δ⁵⁶Fe values of ?1.8‰ and +1‰. These three pyrite groups can also be distinguished based on the pyrite crystallinity and the S isotope mass‐independent signatures. One pyrite group displays poorly crystallized pyrite minerals with positive Δ³³S values > +3‰, while the other groups display more variable and closer to 0‰ Δ³³S values with recrystallized pyrite rims. It is worth to note that all the pyrite groups display positive Δ³³S values in the pyrite core and similar trace element compositions. We therefore suggest that two of the pyrite groups have experienced late fluid circulations that have led to partial recrystallization and dilution of S isotope mass‐independent signature but not modification of the Fe isotope record. Considering the mineralogy and geochemistry of the pyrites and associated organic material, we conclude that this iron isotope systematic derives from microbial respiration of iron oxides during early diagenesis. Our data extend the geological record of dissimilatory iron reduction (DIR) back more than 560 million years (Myr) and confirm that micro‐organisms closely related to the last common ancestor had the ability to reduce Fe(III).     

Photosynthetic Reduction of Xylose to Xylitol Using Cyanobacteria

Photosynthetic generation of reducing power makes cyanobacteria an attractive host for biochemical reduction compared to cell‐free and heterotrophic systems, which require burning of additional resources for the supply of reducing equivalent. Here, using xylitol synthesis as an example, efficient uptake and reduction of xylose photoautotrophically in Synechococcus elongatus PCC7942 are demonstrated upon introduction of an effective xylose transporter from Escherichia coli (Ec‐XylE) and the NADPH‐dependent xylose reductase from Candida boidinii (Cb‐XR). Simultaneous activation of xylose uptake and matching of cofactor specificity enabled an average xylitol yield of 0.9 g g^?1 xylose and a maximum productivity of about 0.15 g L^?1 day^?1 OD^?1 with increased level of xylose supply. While long‐term cellular maintenance still appears challenging, high‐density conversion of xylose to xylitol using concentrated resting cell further pushes the titer of xylitol formation to 33 g L^?1 in six days with 85% of maximum theoretical yield. While the results show that the unknown dissipation of xylose can be minimized when coupled to a strong reaction outlet, it remains to be the major hurdle hampering the yield despite the reported inability of cyanobacteria to metabolize xylose.     

Modeling of dynamical systems through deep learning

This review presents a modern perspective on dynamical systems in the context of current goals and open challenges. In particular, our review focuses on the key challenges of discovering dynamics from data and finding data-driven representations that make nonlinear systems amenable to linear analysis. We explore various challenges in modern dynamical systems, along with emerging techniques in data science and machine learning to tackle them. The two chief challenges are (1) nonlinear dynamics and (2) unknown or partially known dynamics. Machine learning is providing new and powerful techniques for both challenges. Dimensionality reduction methods are used for projecting dynamical methods in reduced form, and these methods perform computational efficiency on real-world data. Data-driven models drive to discover the governing equations and give laws of physics. The identification of dynamical systems through deep learning techniques succeeds in inferring physical systems. Machine learning provides advanced new and powerful algorithms for nonlinear dynamics. Advanced deep learning methods like autoencoders, recurrent neural networks, convolutional neural networks, and reinforcement learning are used in modeling of dynamical systems.     

耐盐碱促生菌的筛选及性能

盐分是影响作物生长最重要的因素,使用能促进植物生长的耐盐碱促生菌减轻盐胁迫引起的损害是一种农业上的有效方法。文中从盐碱地筛选得到7株耐盐细菌,并考察筛选菌株的产胞外聚合物(EPS)能力、降碱能力和产吲哚-3-乙酸(IAA)能力。经综合评价选出1株优势菌株DB01,菌株DB01产EPS能力为0.21 g/g,降碱能力为8.7%,产IAA的能力为8.97 mg/L。菌株经16S rRNA鉴定为海水盐单胞菌Halomonas aquamarina,并且有抑制香蕉枯萎病、番茄早疫病、大豆疫霉病、小麦纹枯病病原菌的能力,同时能够在盐胁迫下促进小麦幼苗的发芽率和根长。海水盐单胞菌Halomonas aquamarina DB01可为土壤微生物资源开发利用和盐碱地改良提供理论依据。     

不同经皮克氏针内固定术治疗儿童GartlandⅡ、Ⅲ型肱骨髁上骨折疗效对比的回顾性分析

摘要 目的：对比不同经皮克氏针内固定术治疗GartlandⅡ、Ⅲ型肱骨髁上骨折患儿的治疗效果。方法：回顾性分析2017年3月~2020年3月期间我院收治的90例GartlandⅡ、Ⅲ型肱骨髁上骨折患儿的临床资料,根据治疗方式的不同,将患儿分为A组47例（采用切开复位经皮克氏针内固定术治疗）和B组43例（采用闭合复位经皮克氏针内固定术治疗）。观察两组疗效情况、围术期指标情况及并发症发生率。结果：A组、B组的优良率组间对比无统计学差异（P>0.05）。B组的手术时间、骨折愈合时间、住院时间均短于A组,术中失血量少于A组,组间对比差异有统计学意义（P<0.05）。两组术后并发症发生率比较差异无统计学意义（P>0.05）。结论：GartlandⅡ、Ⅲ型肱骨髁上骨折患儿采用闭合复位或切开复位经皮克氏针内固定术均可获得良好的手术效果,其中闭合复位在缩短手术时间、骨折愈合时间、住院时间和减少术中失血量方面更具备优势。     

切开与闭合复位空心钉内固定对移位股骨颈骨折患者骨折复位质量和髋关节功能的影响

摘要 目的：探讨切开与闭合复位空心钉内固定对移位股骨颈骨折患者骨折复位质量和髋关节功能的影响。方法：本研究为回顾性研究,选取98例移位股骨颈骨折患者的临床资料,根据手术方式的不同将患者分为A组（n=50,切开复位）和B组（n=48,闭合复位）,比较两组患者优良率、骨折复位质量、髋关节功能、围术期指标、术后并发症发生率和二次手术发生率。结果：A组患者术后6个月的优良率为78.00%（39/50）,高于B组的58.33%（28/48）（P<0.05）。两组术后负重下地时间、术中透视时间比较无差异（P>0.05）;B组手术时间、住院时间短于A组,术中出血量少于A组（P<0.05）。两组患者术后1个月、术后3个月、术后6个月髋关节功能Harris评分均较术前升高,且A组高于B组（P<0.05）。两组二次手术及并发症发生率比较无差异（P>0.05）。A组Ⅰ型、Ⅱ型的例数均多于B组,Ⅲ型例数少于B组（P<0.05）。结论：与闭合复位空心钉内固定相比,切开复位空心钉内固定虽损伤较大,但其术后骨折复位质量和髋关节功能改善效果更佳,且不增加并发症发生率和二次手术发生率。     

Continuous Asymmetric Reduction Of 4-Oxoisophorone By Thermophilic Bacteria Using A Hollow Fiber Reactor

Continuous asymmetric reduction of 4-oxoisophorone by the thermophilic bacterium Thermomonospora curvata JTS321 was examined using three reactor systems: packed bed, fluidized bed and hollow fiber. T. curvata was immobilized in polyacrylamide-hydrazide gels when used in the packed and fluidized bed reactors. Of the three reactor systems, the highest productivity (964 mg.1^-1.h^-1) was observed in the fluidized bed reactor. However, many cells grew outside of the gel matrix, causing product contamination. The productivity of the hollow fiber reactor was 504 mg.1^-1.h^-1; the problem of cell contamination of the product was avoided, as the molecular cut-off of the hollow fibers (400 000) was of an appropriate size to prevent cell leakage to the product stream. We therefore consider that the hollow fiber reactor is most suitable for continuous microbial conversions.     

Stereocontrolled Reduction of Alpha-Methyl Beta-Ketoesters by Geotrichum Candidum

The conditions of the reduction of racemic ethyl 2-methyi-3-oxobutanoate by the mould Geotrichum candidum have been investigated in order to produce exclusively the corresponding (2S, 3S) anti hydroxyester. The alteration of the syn/anti hydroxyester ratio previously observed is the result of an interconversion equilibrium involving the oxoester. The syn ester formation is inhibited by ageing the biomass in water before use, or by effecting the reduction in the presence of sodium chloride. Optimized conditions are described allowing the production of the anti ester in high yield and high optical purity.     

Reactions of Adriamycin with Microsomal Iron and Lipids

Iron plays a central role in oxidative injury, reportedly because it catalyzes superoxide- and hydrogen peroxide-dependent reactions yielding a powerful oxidant such as the hydroxyl radical. Iron is also thought to mediate the cardiotoxic and antitumour effects of adriamycin and related compounds. NADPH-supplemented microsomes reduce adriamycin to a semiquinone radical, which in turn re-oxidizes in the presence of oxygen to form superoxide and hence hydrogen peroxide. During this redox cycling membrane-bound nonheme iron undergoes superoxide dismutase- and catalase-insensitive reductive release. Membrane iron mobilization triggers lipid peroxidation, which is markedly enhanced by simultaneous addition of superoxide dismutase and catalase. The results indicate that : i) lipid peroxidation is mediated by the release of iron, yet the two reactions are governed by different mechanisms; and ii) oxygen radicals are not involved in or may actually inhibit adriamycin-induced lipid peroxidation. Microsomal iron delocalization and lipid peroxidation might represent oxyradical-independent mechanisms of adriamycin toxicity.