Life history and population dynamics of the Japanese Yam,Dioscorea japonica Thunb.

The adaptive significance of the emergence mode ofDioscorea japonica was studied with respect to initial plant size (seed, bulbil and tuber) and light intensity, using mathematical simulation based on Yokoi's (1976) model. Under 1.5% full sunlight conditions, plants emerging with only one leaf did not develop a shoot system throughout the growing period (Hori and Oshima, 1986). Simulation indicated that, for this species of plant under poor productive conditions, the optimal time for switch-over from the vegetative to reproductive growth phase to maximize the tuber weight at the end of the growing period, occurred immediately following the start of autotrophic growth. By means of shoot growth patterns, small and large size plants acquired the ability of shade tolerance and shade avoidance, respectively. Further, the life history ofD. japonica could be expressed as a flow chart based on plant size and light intensity data.     

孕妇分娩机构选择及其影响因素分析

目的:调查孕妇分娩机构选择情况,并对影响分娩机构选择的因素进行分析,为加强分娩机构建设,合理配置助产机构医疗资源提供参考。方法:本研究调查对象均为2019年5月-2019年9月期间在我院办理建档立册的孕产妇,随机抽取420例孕妇进行自制问卷调查,实际发放问卷420份,获得有效问卷为395份。采用EpiData3.1软件建立数据库,统计孕妇基本资料、选择分娩机构考虑因素,多元Logistic回归分析影响选择分娩机构的因素。结果:90%以上的孕妇认为医疗技术水平、仪器设备水平、是否有新生儿科、医院声誉、服务态度、环境比较重要,是选择医疗机构会考虑的因素;大多数孕妇选择三级分娩机构、专科分娩机构进行分娩;经单因素和多因素分析显示,专家门诊、费用、医院级别可能是孕妇选择分娩机构类别的独立影响因素(P0.05)。结论:孕妇趋向于选择三级、专科分娩机构进行分娩,增强二级和民营助产机构的核心竞争力,有助于合理配置助产机构医疗资源,更好保障母婴安全。     

经会阴实时三维盆底超声评估不同分娩方式对产后女性前腔室结构和盆膈裂孔的影响

摘要 目的：探讨经会阴实时三维盆底超声评估不同分娩方式对产后女性前腔室结构和盆膈裂孔的影响。方法：回顾性分析2015年1月至2019年10月在我院接受检查的100例产妇的诊治资料。根据分娩方式的不同,将患者分为经阴道分娩组（n=55）和剖宫产分娩组（n=45）。比较两组产妇在静息状态和Valsalva状态下的前腔室和盆膈裂孔超声参数。结果：在静息状态下,两组的膀胱颈位置、逼尿肌厚度、膀胱后角和尿道倾斜角相比无差异（P>0.05）。经阴道分娩组在Valsalva状态下的膀胱颈移动度和尿道旋转角均大于剖宫产分娩组,尿道内口漏斗形成率和膀胱膨出率均高于剖宫产分娩组（P<0.05）。在Valsalva状态下,经阴道分娩组的盆膈裂孔前后径、左右径、面积和周长均大于剖宫产分娩组（P<0.05）;在静息状态下,两组的上述指标相比,差异均无统计学意义（P>0.05）。结论：应用经会阴实时三维盆底超声技术观察产妇前腔室结构和盆膈裂孔的参数变化,可评估产妇盆底功能受损的程度,经阴道分娩对其影响较大。     

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.     

新生儿胆汁淤积症患儿肠道菌群与分娩方式及喂养方式的关系

目的分析新生儿胆汁淤积症患儿肠道菌群特征及其与分娩方式、喂养方式的关系。方法选择2018年6月至2019年6月我院收治的40例新生儿胆汁淤积症患儿作为观察组,选择同期入院的120例健康新生儿作为对照组,比较两组对象肠道菌群分布情况。各组对象进一步按不同喂养方式分为母乳喂养组和混合喂养组,按不同分娩方式分为阴道分娩组和剖宫产组,分析各组新生儿肠道菌群与分娩方式、喂养方式的相关性。结果观察组新生儿粪便中双歧杆菌、乳杆菌数量及双歧杆菌/大肠埃希菌值[(7.53±0.57)lg copies/g、(8.12±0.71)lg copies/g、1.06±0.18]明显少于对照组[(9.58±0.64)lg copies/g、(8.64±0.75)lg copies/g、1.39±0.22],大肠埃希菌数量[(7.28±0.85)lg copies/g]明显多于对照组[(6.81±0.63)lg copies/g]。观察组中,阴道分娩与剖宫产分娩患儿粪便中双歧杆菌、乳杆菌、大肠埃希菌数量及双歧杆菌/大肠埃希菌值差异均有统计学意义(P0.05)。观察组中,母乳喂养与混合喂养新生儿粪便中双歧杆菌、乳杆菌、大肠埃希菌数量及双歧杆菌/大肠埃希菌值差异均有统计学意义(P0.05)。结论新生儿胆汁淤积症患儿肠道菌群存在异常,且受到分娩方式和喂养方式的影响。     

V型羊毛硫肽雷可肽的抑菌机制

【背景】雷可肽(Lexapeptide)为首例V型羊毛硫肽家族化合物,具有较好的抗革兰氏阳性菌活性,对耐甲氧西林金黄色葡萄球菌(Methicillin-Resistant Staphylococcus aureus,MRSA)和表皮葡萄球菌(Methicillin-Resistant Staphylococcus epidermidis,MRSE)的抑制作用强于广泛应用的食品防腐剂乳酸链球菌素,其对pH和高温的稳定性也优于乳酸链球菌素,具有较好的应用前景。由于抑菌机制不明确,限制了雷可肽的开发应用。【目的】探究雷可肽抑菌作用特征以及作用机制,为雷可肽开发应用奠定基础。【方法】通过菌落计数法与Mg2+试验表征雷可肽抑菌动力学曲线;采用流式细胞仪和透射电子显微镜研究雷可肽在靶细胞表面的成孔性;利用高效液相色谱与基质辅助激光解吸电离的时间飞行质谱分析雷可肽处理对革兰氏阳性菌肽聚糖前体积累的影响。【结果】雷可肽在抑菌动力学上与乳酸链球菌素没有显著差别,但在更宽的Mg2+浓度范围内仍可保持抑菌活性。雷可肽处理后的细胞具有透过荧光染料的能力,生物型透射电镜观察到细胞发生破损。此外,在雷可肽作用后的细胞中检测到肽聚糖合成的前体尿嘧啶核苷二磷酸-N-乙酰胞壁酸五肽。【结论】雷可肽能够通过抑制细胞壁肽聚糖生物合成并造成细胞损伤进而获得通透性,以此来抑制革兰氏阳性菌生长。     

The Bio3D packages for structural bioinformatics

Bio3D is a family of R packages for the analysis of biomolecular sequence, structure, and dynamics. Major functionality includes biomolecular database searching and retrieval, sequence and structure conservation analysis, ensemble normal mode analysis, protein structure and correlation network analysis, principal component, and related multivariate analysis methods. Here, we review recent package developments, including a new underlying segregation into separate packages for distinct analysis, and introduce a new method for structure analysis named ensemble difference distance matrix analysis (eDDM). The eDDM approach calculates and compares atomic distance matrices across large sets of homologous atomic structures to help identify the residue wise determinants underlying specific functional processes. An eDDM workflow is detailed along with an example application to a large protein family. As a new member of the Bio3D family, the Bio3D‐eddm package supports both experimental and theoretical simulation‐generated structures, is integrated with other methods for dissecting sequence‐structure–function relationships, and can be used in a highly automated and reproducible manner. Bio3D is distributed as an integrated set of platform independent open source R packages available from: http://thegrantlab.org/bio3d/ .     

研究生基因克隆与功能分析课程教学方式的探索与实践

基因工程是现代生物技术的重要核心。基因克隆与功能分析是生物化学与分子生物学专业硕士研究生的专业主干课,在生物技术人才的培养过程中起着重要的作用。时代的发展对研究生基因克隆与功能分析课程的教学模式提出了新的要求。本文探讨了翻转课堂教学法、研讨式教学法、案例式教学法、问题导向学习教学法、任务驱动教学法在研究生基因克隆与功能分析教学中的综合运用,以期提高人才培养质量。     

关中平原麦玉轮作体系作物秸秆不同还田模式下土壤有机碳和无机碳库变化特征

为探究不同秸秆还田模式对土壤碳库的影响,以陕西关中平原连续11年麦玉秸秆还田定位试验为基础,选择5种还田模式,即秸秆均不还田(CK)、小麦高留茬-玉米秸秆粉碎还田(WH-MC)、小麦玉米秸秆均粉碎还田(WC-MC)、小麦高留茬-玉米秸秆不还田(WH-MN)和小麦秸秆粉碎还田-玉米秸秆不还田(WC-MN),测定不同模式土壤有机碳(SOC)、活性碳组分和无机碳(SIC)在0～40 cm土层的分布。结果表明: 与CK相比,WH-MC和WC-MC的SOC储量分别增加28.1%和22.2%,SIC储量分别增加20.4%和17.3%;与试验初始土壤碳储量相比,各还田模式SOC固持量变化为-0.84～6.55 t·hm^-2,SIC固持量为-0.26～8.61 t·hm^-2;土壤总固碳效率为7.5%,维持土壤初始碳储量水平的最小碳投入量为4.65 t·hm^-2·a^-1;与CK相比,WH-MC和WC-MC显著提升0～20 cm土层活性碳组分含量。主成分分析表明,不同还田模式下土壤碳库变化主要受秸秆投入量的影响。来源于灌溉水和植物残体的Ca²⁺、Mg²⁺与SOC矿化产生的CO₂可共沉淀形成CaCO₃,可能是本研究SIC增加的主要机制。从提高土壤碳固持角度来看,小麦高留茬-玉米秸秆粉碎还田模式为最佳还田模式。