树干径流过程的计算机模拟

本文应用系统分析方法,将树干径流过程这一连续系统离散化,编制程序,以计算机直接模拟过程行为,绕过了解微分方程之烦恼,并取得了满意的结果。此举对扩展系统分析概念,研究连续系统颇有意义。     

海洋生态环境污染研究概况

阐述了海洋生态环境污染的来源和危害,探讨其解决方法。     

Finite element simulation of the mechanical impact of computer work on the carpal tunnel syndrome

Carpal tunnel syndrome (CTS) is a clinical disorder resulting from the compression of the median nerve. The available evidence regarding the association between computer use and CTS is controversial. There is some evidence that computer mouse or keyboard work, or both are associated with the development of CTS. Despite the availability of pressure measurements in the carpal tunnel during computer work (exposure to keyboard or mouse) there are no available data to support a direct effect of the increased intracarpal canal pressure on the median nerve.     

The simulation of aerial movement--IV. A computer simulation model

A computer simulation model of human airborne movement is described. The body is modelled as 11 rigid linked segments with 17 degrees of freedom which are chosen with a view to modelling twisting somersaults. The accuracy of the model is evaluated by comparing the simulation values of the angles describing somersault, tilt and twist with the corresponding values obtained from film data of nine twisting somersaults. The maximum deviations between simulation and film are found to be 0.04 revolutions for somersault, seven degrees for tilt and 0.12 revolutions for twist. It is shown that anthropometric measurement errors, from which segmental inertia parameters are calculated, have a small effect on a simulation, whereas film digitization errors can account for a substantial part of the deviation between simulation and film values.     

A computer simulation of a neuron net model as a self-organizing system

A neural net model is simulated on an IBM-1130 digital computer. The model includes rules for learning of the presented patterns. The learning algorithm uses an iteration procedure, in order to compute the ultimate cross coupling-coefficients between the neurons for a specific pattern. The network has a set of latent cyclic modes or reverberations. If the net is stimulated briefly, by presenting a pattern, it will subsequently either return to quiescence or settle into periodic activity in one of its cyclic modes.     

A computer simulation of evolutionary forces controlling the size of a multigene family

Summary A Monte Carlo-type simulation of the evolution of a multigene family was performed. The model was designed to study the selective forces which may control the size of a multigene family. As expected, we find that direct selection on the size of the multigene family can control its size. More important, we find that selection acting upon the family as a single functional unit, in conjunction with homologous but unequal crossing over, can also control the size of a multigene family.     

A comparative computer simulation of dendritic morphology

Computational modeling of neuronal morphology is a powerful tool for understanding developmental processes and structure-function relationships. We present a multifaceted approach based on stochastic sampling of morphological measures from digital reconstructions of real cells. We examined how dendritic elongation, branching, and taper are controlled by three morphometric determinants: Branch Order, Radius, and Path Distance from the soma. Virtual dendrites were simulated starting from 3,715 neuronal trees reconstructed in 16 different laboratories, including morphological classes as diverse as spinal motoneurons and dentate granule cells. Several emergent morphometrics were used to compare real and virtual trees. Relating model parameters to Branch Order best constrained the number of terminations for most morphological classes, except pyramidal cell apical trees, which were better described by a dependence on Path Distance. In contrast, bifurcation asymmetry was best constrained by Radius for apical, but Path Distance for basal trees. All determinants showed similar performance in capturing total surface area, while surface area asymmetry was best determined by Path Distance. Grouping by other characteristics, such as size, asymmetry, arborizations, or animal species, showed smaller differences than observed between apical and basal, pointing to the biological importance of this separation. Hybrid models using combinations of the determinants confirmed these trends and allowed a detailed characterization of morphological relations. The differential findings between morphological groups suggest different underlying developmental mechanisms. By comparing the effects of several morphometric determinants on the simulation of different neuronal classes, this approach sheds light on possible growth mechanism variations responsible for the observed neuronal diversity.     

A computer simulation of aggregated phytochrome photoconversion

In order to check the relevance of possible phytochrome aggregation forms for the diversity of action spectra and dose-response curves for light sensing by plants, a model for phytochrome photoconversion was produced for different aggregates. Under saturating light treatments, a computer simulation of dimer and aggregated dimer (tetramers and hexamers) photoconversion provided similar compositions of various aggregates in red and green light, which differed from blue and far-red light. These aggregates could account for the variable action spectra only if the nature of the primary transducing components is taken into account. The initial kinetics of aggregated phytochrome appear to be slower in comparison to the monomeric form, and there were transient peaks of certain aggregates in red and green light. A single peak occurred under blue light, but not in far-red, only if dimers are aggregated into tetramers and hexamers. This finding suggests that the initial kinetics of aggregated phytochrome are not sufficient to account for the variable dose-response curves in light-mediated responses by plants, so again the feature of signal transduction components may play a decisive role.     

A computer simulation study of the hydrated proton in a synthetic proton channel

Classical molecular dynamics simulations using the multistate empirical valence bond model for aqueous proton transport were performed to characterize the hydration structure of an excess proton inside a leucine-serine synthetic ion channel, LS2. For such a nonuniform pore size ion channel, it is found that the Zundel ion (H(5)O(2)(+)) solvation structure is generally more stable in narrow channel regions than in wider channel regions, which is in agreement with a recent study on idealized hydrophobic proton channels. However, considerable diversity in the relative stability of the Zundel to Eigen cation (H(9)O(4)(+)) was observed. Three of the five wide channel regions, one located at the channel's center and the other two located near the channel mouths, are found to show extraordinary preference for the Eigen solvation structure. This implies that proton hopping is inhibited in these regions and therefore suggests that these regions may behave as barriers in the proton conducting pathway inside the channel. The proton solvation is also greatly influenced by the local molecular environment of the protein. In particular, the polar side chains of the Ser residues, which are intimately involved in the solvation structure, can greatly influence proton solvation. However, no preference of the influence by the various Ser side chains was found; they can either promote or prevent the formation of certain solvation structures.     

Assessing the impact of episodic pollution

The increased tightening of controls on industrial and municipal wastewater discharges has resulted in steady improvements in the quality of many important rivers over recent years. However, episodic pollution, particularly from farm wastes and combined sewer overflows continues to pose a major problem, and is one of the main causes of poor quality rivers today. Despite our acknowledgement of this continuing problem, very little is known of the mechanistic basis of responses and recovery of aquatic organisms and communities exposed to intermittent pulses of common pollutants. The majority of ecotoxicological studies to date have been concerned with the effects of continuous exposure. Although such studies may provide a means of predicting the impact of episodic pollution events, a more appropriate test design would be to assess toxicity under pulsed and fluctuating exposure. Studies should also include a post-exposure observation period and should consider recovery of individuals and communities. This paper reviews the results of reported studies relevant to the investigation of episodic pollution and pays particular attention to the effects of magnitude, duration and frequency of exposure. Results of field investigations using an in situ bioassay technique are also presented to emphasize the importance of field validation of proposed water quality criteria for intermittent pollution events.     

A computer simulation of free-range exercise in the laboratory.

We present a technique for simulating dynamic field (free-range) exercise, using a novel computer-controlled cycle ergometer. This modified cycle ergometer takes into account the effect of friction and aerodynamic drag forces on a 70-kg cyclist in a racing position. It also affords the ability to select different gear ratios. We have used this technique to simulate a known competition cycle route in Cape Town, South Africa. In an attempt to analyze the input stimulus, in this case the generated power output of each cyclist, eight subjects cycled for 40 min at a self-selected, comfortable pace on the first part of the simulated route. Our results indicate that this exercise input excites the musculocardiorespiratory system over a wide range of power outputs, both in terms of amplitude and frequency. This stimulus profile thereby complies with the fundamental requirement for nonlinear (physiological) systems analysis and identification. Through a computer simulation, we have devised a laboratory exercise protocol that not only is physiologically real but also overcomes the artificiality of most traditional laboratory exercise protocols.     

A computer simulation of the epidemiology of the rice dwarf virus

An epidemiological system model was developed to evaluate the role of factors which were responsible for the prevalence of rice dwarf virus (RDV) transmitted by the green rice leafhopper, Nephotettix cincticeps. Simulation tests were conducted by varying values of the following three parameters: the vector density, the coefficient of the efficiency of feeding acquisition of RDV of the vector, and that of efficiency of RDV transmission by the vector. The effect of each parameter was assessed in terms of changes in percentages of infected insects and of infected rice hills. Both the percentages of infected insects and of infected rice hills increased rapidly with increasing vector density within a range of low vector density. The former increased linearly when the acquisitive coefficient was increased. But the percentage of infected rice hills was affected to a lesser extent. The percentage of infected insects and that of infected rice hills increased exponentially with increasing values of the transmission coefficient. The results obtained from the simulation tests were discussed in relation to the ecological factors which caused the recent prevalence of RDV.     

Bio-indicators in the monitoring of environmental pollution

Summary Surveying the chemical pollution status of a given area is increasingly becoming the task of biological indicators, ie animal and plant organisms capable of providing us with the necessary data. For example, in the wake of certain contaminations, they may increase or decrease in number, vary population proportions in relation to given traits, become vectors of certain toxic molecules or heavy metals, or accumulate them in their bodies or in their «products». The advantage of bioindicators over chemical or physical detectors is their ability to supply extensive — both spatially and temporally —rather than limited and instantaneous data, thus making such information more representative. In many instances the bioindicator takes samples for us-a service that is undoubtedly valuable even though it must be linked to a sound knowledge of the organism's ethogram and biology so as to arrive at a scientifically legitimate interpretation of the data provided.     

Probing the mechanism of fusion in a two-dimensional computer simulation

A two-dimensional (2D) model of lipid bilayers was developed and used to investigate a possible role of membrane lateral tension in membrane fusion. We found that an increase of lateral tension in contacting monolayers of 2D analogs of liposomes and planar membranes could cause not only hemifusion, but also complete fusion when internal pressure is introduced in the model. With a certain set of model parameters it was possible to induce hemifusion-like structural changes by a tension increase in only one of the two contacting bilayers. The effect of lysolipids was modeled as an insertion of a small number of extra molecules into the cis or trans side of the interacting bilayers at different stages of simulation. It was found that cis insertion arrests fusion and trans insertion has no inhibitory effect on fusion. The possibility of protein participation in tension-driven fusion was tested in simulation, with one of two model liposomes containing a number of structures capable of reducing the area occupied by them in the outer monolayer. It was found that condensation of these structures was sufficient to produce membrane reorganization similar to that observed in simulations with "protein-free" bilayers. These data support the hypothesis that changes in membrane lateral tension may be responsible for fusion in both model phospholipid membranes and in biological protein-mediated fusion.