全球气候变化对沈阳地区春玉米生长的可能影响

利用玉米（Ｚｅａ ｍａｙｓ Ｌ．）生长生理生态学模拟模型（ＭＰＥＳＭ）,分别模拟了未来气候变化的１２种气候条件下（ＣＯ２浓度倍增,平均气温上升１．５℃、３．０℃和４．５℃,降水量增加２０％、减少２０％、减少４０％和降水量不变）,沈阳地区土壤湿度、玉米发育和玉米生长的变化,并与当前条件下进行了比较,以评价玉米生长对各气候因子变化的敏感性和全球气候变化下沈阳地区春玉米的生长趋势。研究表明：土壤湿度对降     

铝对玉米生长和硝酸还原酶活性的影响

测定了生长在Ａｌ２（ＳＯ４）３１００μｍｏｌ／Ｌ氮素营养液中的两个玉米品种（ＳＣ７０４和ＶＡ３５的根系和叶片）的ＮＡＤＨ－硝酸还原酶（ＥＣ１．６．６．１）和ＮＡＤ（Ｐ）Ｈ－硝酸还原酶（ＥＣ１．６．６．２）活性。     

NO对大鼠睡眠-觉醒的调节

目的和方法：通过对大鼠侧脑室微量注射ＮＯＳ抑制剂Ｌ－ＮＡＭＥ及ＮＯ的前体Ｌ－精氨酸（Ｌ－Ａｒｇ）观察两种物质对大鼠睡眠－觉醒的影响。结果：注射１ｍｇ Ｌ－ＮＡＭＥ（５μＬ）后４ｈ觉醒（Ｗ）明显增加,尤以注射后第１￣２ｈ显著;４ｈ慢波睡眠（ＳＷＳ）明显减少,该效应同样以注射后第１￣２ｈ显著;异相睡眠（ＰＳ）无明显变化。小剂量Ｌ－ＮＡＭＥ（０．２ｍｇ,５μｌ）对大鼠的Ｗ、ＳＷＳ、ＰＳ无明显影响;同样方     

王瓜的组织培养和快速繁殖

１植物名称王瓜（Ｔｒｉｃｈｏｓａｎｔｈｅｓｃｕｃ－ｕｍｅｒｏｉｄｅｓ），采自浙江天目山。２材料类别顶芽、带腋芽的茎段。３培养条件诱导分化培养基：（１）ＭＳ＋６－ＢＡ０．５ｍｇ·Ｌ－１（单位下同）；（２）ＭＳ＋６－ＢＡ１；（３）ＭＳ＋６．ＢＡ２＋２，４－Ｄ１。诱导生根与生长培养基：（４）ＭＳ；（５）ＭＳ＋ＩＡＡ２；（６）ＭＳ＋６－ＢＡ１＋２，４－Ｄ１。每种培养基均附加３％蔗糖，０，７％琼脂，ｐＨ５．８。培养温度（２５±１）℃，光照每天１２ｈ，光照度２０００１ｘ左右。４生长与分化情况４．１无菌材料的…     

血管紧张素Ⅱ对大鼠心肌肌浆网Ca~(2+),Mg~(2+)-ATPase基因转录调节的影响

观察血管紧张素Ⅱ（ＡｎｇⅡ）对心肌肌浆网Ｃａ２＋,Ｍｇ２＋－ＡＴＰａｓｅ基因（ＳＥＲＣＡ２ａ）转录调节的影响,评价ＤＭＰ８１１对此效应的干预作用．６周龄雄性ＳＤ大鼠随机分为３组,每组６只．组１：生理盐水输注;组２：ＡｎｇⅡ输注＋ＤＭＰ８１１管饲（３ｍｇ·ｄ－１·ｋｇ－１）;组３：ＡｎｇⅡ输注（２００ｎｇ·ｍｉｎ－１·ｋｇ－１．１周后称其体重,取心脏并称重,提取心脏总ＲＮＡ后采用Ｎｏｒｔｈｅｒｎｂｌｏｔ的方法检测ＳＥＲ－ＣＡ２ａ的转录水平,采用ＲＴ－ＰＣＲ检测ＡｎｇⅡ１型受体（ＡＴ１）ｍＲＮＡ水平．实验后,组３心重（ＣＷ）、心重／体重（Ｃ／Ｂ）、ＡＴ１受体转录水平均高于组１（分别增加４．７±０．４％,４．９±０．９％和２４．７±３．５％;Ｐ＜０．０１）,而ＳＥＲＣＡ２ａ基因转录水平显著低于组１（降低２０．１±３．０％,Ｐ＜０．０１）,并且ＳＥＲＣＡ２ａｍＲＮＡ水平与ＡＴ１受体ｍＲＮＡ水平呈负相关（ｒ＝－０．７４,Ｐ＜０．０１）．ＡｎｇⅡ导致的上述改变能被ＤＭＰ８１１完全阻断．ＡｎｇⅡ通过其Ⅰ型受体的介导,诱导了ＳＥＲＣＡ２ａ的转录下调     

正常足月儿畸变产物耳声发射(DPOAEs)特性分析

研究提出正常足月儿畸变产物耳声发射（ＤＰＯＡＥｓ） 特性分析如下：１ ． ＤＰＯＡＥｓ 反应强度曲线,ＤＰ 图显示两个反应峰（ｆ２ ＝ １ ．６ 和５ ．０ ｋＨｚ） 和一个反应谷（ｆ２ ＝ ３ ．１ ～４ ．０ ｋＨｚ） ;２． ＤＰＯＡＥ 本底噪声及其特性,ｆ２ ＝ １．０ ｋＨｚ 其测试频率点（２ｆ１ －ｆ２） 本底噪声最高（Ｐ＜ ０ ．０５） ,ｆ２ ＝ ３ ．１ ,４．０ 和５ ．０ｋＨｚ ,测试频率点（２ｆ１ －ｆ２） 本底噪声较低（Ｐ＜ ０．０５） ;除ｆ２ ＝ ４．０ ｋＨｚ 外,ＤＰＯＡＥ 本底噪声与其反应强度均未呈现直线相关特性;３ ． ＤＰＯＡＥ ＳＮＲ 特性,ｆ２ ＝ １．０ ｋＨｚ 其ＳＮＲ 最小（Ｐ＝ ０．０００） ,ｆ２ ＝２ ．０ ｋＨｚ 其ＳＮＲ 最大（Ｐ０ ．００３） ;４． ＤＰＯＡＥ ＳＮＲ 和ＴＥＯＡＥ ＳＮＲ 相关特性,除１．０ ｋＨｚ 频段外,其余频段其二者间均有着非常显著的直线相关特性。     

褪黑素对大鼠海马神经元谷氨酸所致毒性的拮抗作用

在大鼠海马脑片上电刺激Ｓｃｈａｆｆｅｒ 侧支纤维, 胞外记录ＣＡ１ 区锥体细胞层诱发群体锋电位（ｐｏｐｕｌａｔｉｏｎ ｓｐｉｋｅ,ＰＳ） , 观察灌流谷氨酸（Ｇｌｕ） 和褪黑素（ＭＥＬ） 对ＰＳ的影响。结果显示：５－０ ｍｍｏｌ／Ｌ浓度的Ｇｌｕ 可使ＰＳ值下降至对照值的４－１ ％ ; ＭＥＬ（０－４ 、０－５ 和０－６ μｍｏｌ／Ｌ） 与５－０ ｍｍｏｌ／ＬＧｌｕ 混合给药,ＰＳ值分别变化为对照值的１４－７ ％ 、１０５－２％ 、２４－３ ％ ; ＭＥＬ（０－５ μｍｏｌ／Ｌ） 、Ｇｌｕ （５－０ ｍｍｏｌ／Ｌ） , 与赛庚啶（ＣＤＰ,０－５ μｍｏｌ／Ｌ） 混合给药,ＰＳ值下降至０ 。上述结果提示,５－０ ｍｍｏｌ／Ｌ浓度的Ｇｌｕ 有神经毒性作用, 但可为ＭＥＬ拮抗, 这可能由５ＨＴ受体所介导。     

非洲菊的组织培养与快速繁殖

１植物名称非洲菊（Ｇｅｒｂｅｒａｊａｍｅｓｏｎｉｉ）,又名扶郎花。２材料类别无菌种子萌发的幼苗。３培养条件（１）种子萌发培养基：１／２ＭＳ＋０．７％琼脂（或脱脂棉）;（２）诱导分化培养基：ＭＳ＋６－ＢＡ１．５ｍｐ·Ｌ－１（单位下同）＋ＩＢＡ０．２;（３）芽增殖培养基：ＭＳ＋６－ＢＡ０．５;（４）生根培养基：ＭＳ＋ＮＡＡ２。上述（２）、（３）、（４）培养基内琼脂均为０．７％,蔗糖３％,ｐＨ５．８～６．０。培养条件为室温和自然光照,种子萌发前为暗培养。４生长与分化情况４．１萌发种子用纱布袋包装,无菌…     

南方鲇碱性磷酸酶的分离纯化及部分性质的研究

用正丁醇抽提,硫酸铵分级沉淀,ＤＥＡＥ－纤维素和ＳｅｐｈａｃｒｙｌＳ－２００柱层析,从南方鲇（Ｓｉｌｕｒｕｓ　ｍｅｒｉｄｉｏｎａｌｉｓ　Ｃｈｅｎ）肠粘膜中提取出碱性磷酸酶（ＡＫＰ）。提纯倍数为３９．５０倍,比活为６８．３５μ／ｍｇ蛋白,提取酶液经ＰＡＧＥ和ＳＤＳ－ＰＡＧＥ只呈现一条区带。该酶的分子量为１３２１４０,Ｎ末端氨基酸为门冬氨酸,最适ｐＨ为１０．１０,７．５＞ｐＨ＞１１．５时不稳定,最适温度为４０℃左右,对热不很稳定,以磷酸苯二钠为底物其Ｋ_ｍ值为１．７２×１０~（－３）ｍｏｌ／Ｌ。Ｍｇ~（２＋）、Ｍｎ~（２＋）为该酶的激活剂,ＫＨ_２ＰＯ_４、Ｌ－ＣｙＳ、ＭＥ、ＤＦＰ、ＥＤＴＡ－Ｎａ_２为抑制剂。选用ＫＨ_２ＰＯ_４和ＤＦＰ作抑制类型的判断,结果表明,ＫＨ_２ＰＯ_４属竞争性掏剂,其抑制常数为２．３ｍｍｏｌ／Ｌ;ＤＦＰ为非竞争性抑制剂,抑制常数为１．０５ｍｍｏｌ／Ｌ。     

褐黑素对大鼠海马神经元谷氨酸所致毒性的拮抗作用

在大鼠海马脑片上电刺激Ｓｃｈａｆｆｅｒ侧支纤维,胞外记录ＣＡ１区锥体细胞层诱发群体锋电位,观察灌流谷氨酸和褪黑素对ＰＳ的影响。结果显示：５．０ｍｍｏｌ／Ｌ浓度的Ｇｌｕ可使ＰＳ值下降至对照值的４．１％;ＭＥ（０．４、０．５和０．６μｍｏｌ／Ｌ）一５．０ｍｍｏｌ／Ｌ浓度的Ｇｌｕ可使ＰＳ值下降至对照值的１４．７％、１０５．２％、２４．３％;ＭＥＬ、Ｇｌｕ,与赛庚啶混合给药,ＰＳ值下降至０。上述结果提示。     

流域水碳过程耦合模拟——WaSSI-C模型的率定与检验

在复杂的气候变化条件下, 利用水碳耦合模型进行生态水文学研究成为主要的研究手段和途径。该文以杂谷脑河上游流域为例, 在确定生态水文模型WaSSI-C模拟尺度的基础上, 探讨水碳耦合模型在中国西南湿润地区的适用性。杂古脑河上游流域位于岷江上游, 隶属于长江流域。在分析和讨论了模型结构和机理的基础上, 分别对模型蒸散和融雪计算进行了补充改进, 以提高模型的适用性。将1988-1996年作为模型的率定期, 1997-2006年作为模型的验证期, 分别在率定期和验证期利用实测的径流数据和中分辨率成像光谱仪数据的总初级生产力、蒸散(ET)数据, 对模拟结果进行对比验证。并利用决定系数(R²)和Nash-Sutcliffe效率系数(NS)两个指标对模拟效果进行评价。流域总径流率定期和验证期对比验证的R²分别为0.86和0.78; NS分别为0.82和0.67。总生态系统生产力和ET验证期的R²分别为0.89和0.78。可见模型模拟结果的两个评价指标都处于较为理想的区间内, 说明WaSSI-C模型在研究区内具有较好的适用性。并对模型的蒸散计算方法进行了讨论, 在此基础上提出了模型中存在的问题和改进的方向。     

生理房室药动学模型

生理药动学模型较ｎ房室模型能更准确地描述药物在体内的处置过程,但在实际应用中由于其计算结果有较大的误差而限制其应用和推广．在生理模型中,某一组织器官中血液分布容积相对于单位时间的血流量来说,如果太大,就去给计算结果带来较大的误差．本文提出的生理房室模型可以减小这种误差,从而更准确地模拟药物在体内的处置过程．文中对一组模拟的生理和生化参数分别求出了生理房室模型和生理模型的数值解．通过两组解的比较,说明生理房室模型可以描述药物在体内处置过程中的细微变化．     

Maintenance requirements: energy supply from simultaneous endogenous respiration and substrate consumption

Abstract A model is presented that describes energy for maintenance purposes (ATP) as being obtained simultaneously from biomass degradation as well as from substrate degradation in excess of growth requirements. The ratio between both catabolic processes was taken to be growth rate dependent. As such, this approach is intermediate between established models; its significant features are negative growth and the absence of substrate consumption at zero substrate concentration, and the attainability of the maximum specific growth rate (the model parameter μ _max) at elevated substrate concentrations. As a simple case, the amounts of ATP obtained from direct substrate catabolism or from the degradation of an equivalent amount of biomass were taken as identical. Also, the maintenance demand in terms of ATP per unit time and biomass was taken to be constant. True growth rate dependency of maintenance can be implemented by relaxing either of these assumptions.     

An EMG-driven model applied for predicting metabolic energy consumption during movement

The relationship between mechanical work and metabolic energy cost during movement is not yet clear. Many studies demonstrated the utility of forward-dynamic musculoskeletal models combined with experimental data to address such question. The aim of this study was to evaluate the applicability of a muscle energy expenditure model at whole body level, using an EMG-driven approach.Four participants performed a 5-min squat exercise on unilateral leg press at two different frequencies and two load levels. Data collected were kinematics, EMG, forces and moments under the foot and gas-exchange data. This same task was simulated using a musculoskeletal model, which took EMG and kinematics as inputs and gave muscle forces and muscle energetics as outputs. Model parameters were taken from literature, but maximal isometric muscle force was optimized in order to match predicted joint moments with measured ones. Energy rates predicted by the model were compared with energy consumption measured by the gas-exchange data.Model results on metabolic energy consumption were close to the values obtained through indirect calorimetry. At the higher frequency level, the model underestimated measured energy consumption. This underestimation can be explained with an increase in energy consumption of the non-muscular mass with movement velocity.In conclusion, results obtained in comparing model predictions with experimental data were promising. More research is needed to evaluate this way of computing mechanical and metabolic work.     

Numerical model (switchable/dual model) of the human head for rigid body and finite elements applications

In this paper, a methodology for the development and validation of a numerical model of the human head using generic procedures is presented. All steps required, starting with the model generation, model validation and applications will be discussed. The proposed model may be considered as a dual one due to its capabilities to switch from deformable to a rigid body according to the application's requirements. The first step is to generate the numerical model of the human head using geometry files or medical images. The required stiffness and damping for the elastic connection used for the rigid body model are identified by performing a natural frequency analysis. The presented applications for model validation are related to impact analysis. The first case is related to Nahum's (Nahum and Smith 1970) experiments pressure data being evaluated and a pressure map generated using the results from discrete elements. For the second case, the relative displacement between the brain and the skull is evaluated according to Hardy's (Hardy WH, Foster CD, Mason, MJ, Yang KH, King A, Tashman S. 2001.Investigation of head injury mechanisms using neutral density technology and high-speed biplanar X-ray. Stapp Car Crash J. 45:337–368, SAE Paper 2001-22-0016) experiments. The main objective is to validate the rigid model as a quick and versatile tool for acquiring the input data for specific brain analyses.     

On the mechanistic underpinning of discrete-time population models with Allee effect

The Allee effect means reduction in individual fitness at low population densities. There are many discrete-time population models with an Allee effect in the literature, but most of them are phenomenological. Recently, Geritz and Kisdi [2004. On the mechanistic underpinning of discrete-time population models with complex dynamics. J. Theor. Biol. 228, 261-269] presented a mechanistic underpinning of various discrete-time population models without an Allee effect. Their work was based on a continuous-time resource-consumer model for the dynamics within a year, from which they derived a discrete-time model for the between-year dynamics. In this article, we obtain the Allee effect by adding different mate finding mechanisms to the within-year dynamics. Further, by adding cannibalism we obtain a higher variety of models. We thus present a generator of relatively realistic, discrete-time Allee effect models that also covers some currently used phenomenological models driven more by mathematical convenience.     

Conventional and newly developed bioheat transport models in vascularized tissues: A review

Heat transfer in a biological system is a complex process and its analysis is difficult. Heterogeneous vascular architecture, blood flow in the complex network of arteries and veins, varying metabolic heat generation rates and dependence of tissue properties on its physiological condition contribute to this complexity. The understanding of heat transfer in human body is important for better insight of thermoregulatory mechanism and physiological conditions. Its understanding is also important for accurate prediction of thermal transport and temperature distribution during biomedical applications. During the last three decades, many attempts have been made by researchers to model the complex thermal behavior of the human body. These models, viz., blood perfusion, countercurrent, thermal phase-lag, porous-media, perturbation, radiation, etc. have their corresponding strengths and limitations. Along with their biomedical applications, this article reviews various contextual issues associated with these models. After brief discussion of early bioheat models, the newly developed bioheat models are discussed in detail. Dependence of these models on biological properties, viz., thermophysical and optical properties are also discussed.     

物种分布模型在海洋潜在生境预测的应用研究进展

海洋生物的栖息分布与环境要素的关联性一直是海洋生态学研究的热点之一.近年来,物种分布模型被广泛应用于预测海洋物种分布、潜在适宜性生境评价等研究,为保护海洋生物多样性、防治外来物种入侵及制定渔业管理措施等提供了一条有效途径.物种分布模型主要包括生境适宜性指数模型、机理模型和统计模型.本文对物种分布模型的理论基础进行了归纳和总结,回顾了物种分布模型在预测海洋物种潜在地理分布研究中的开发与应用,重点介绍了不同类型统计模型在海洋物种潜在分布预测中的研究实例.比较各种选取变量和模型验证方法,认为赤池信息准则对于选取模型变量具有优势,Kappa系数和受试者操作特征曲线下面积在验证模型精度中应用最广泛.阐述了物种分布模型存在的问题及未来发展趋势,随着海洋生物生理机制研究的进一步深入,机理模型将是今后物种分布模型发展的重点.     

On the mechanistic underpinning of discrete-time population models with complex dynamics

We present a mechanistic underpinning for various discrete-time population models that can produce limit cycles and chaotic dynamics. Specific examples include the discrete-time logistic model and the Hassell model, which for a long time eluded convincing mechanistic interpretations, and also the Ricker- and Beverton-Holt models. We first formulate a continuous-time resource consumption model for the dynamics within a year, and from that we derive a discrete-time model for the between-year dynamics. Without influx of resources from the outside into the system, the resulting between-year dynamics is always overcompensating and hence may produce complex dynamics as well as extinction in finite time. We recover a connection between various standard types of continuous-time models for the resource dynamics within a year on the one hand and various standard types of discrete-time models for the population dynamics between years on the other. The model readily generalizes to several resource and consumer species as well as to more than two trophic levels for the within-year dynamics.     

土壤-植物-大气连续体水热、CO2通量估算模型研究进展

土壤-植物-大气连续体(SPAC)水热、CO2通量的准确估算对理解陆地和大气的物质和能量交换过程有着重要意义.重点阐述了基于过程的土壤-植物-大气连续体水热、CO2通量模型,综述了统计模型、综合模型及基于遥感的模型的发展过程.其中水热通量统计模型包括基于温度和湿度以及基于温度和辐射的方法;CO2通量统计模型包括基于气候因子或蒸散因子以及基于光能利用率的方法.水热通量过程模型包括大叶、双源、多源和多层的水热传输物理模型;CO2通量过程模型包括叶片尺度及由大叶、双叶和多层方法扩展到冠层尺度的生理生态模型以及光合-蒸腾耦合模型.综合模型包括生物物理模型、生物化学模型和生物地理模型.统计模型形式简单,资料易得,对大范围的水热通量模拟具有指导意义;过程模型准确的揭示了水热和CO2通量传输的物理和生理过程,是大尺度综合模型的基础.未来生态系统水热、CO2通量估算模型将集成各种技术手段进行多尺度网络观测和大尺度机理模拟.